Статті в журналах: "Strip mining – Cost control"

1

Zhu, Xiaojun, Guangli Guo, Hui Liu, Xueni Peng, and Xiaoyu Yang. "Research on the Stability Evaluation Model of Composite Support Pillar in Backfill-Strip Mining." Mathematical Problems in Engineering 2020 (February 18, 2020): 1–11. http://dx.doi.org/10.1155/2020/3138258.

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Backfill-strip mining, which combines the advantages of strip mining and backfill mining, is proposed to overcome high cost and shortage of filling materials in coal mines at present. The composite support pillar (CSP) is a combined support pillar of the filling body and coal pillar for supporting the overlying strata and achieving subsidence control. The stability of CSP is the key to the success of subsidence control in backfill-strip mining engineering. A stability evaluation model of the CSP mechanical model was proposed. First, the lateral stress between the coal pillar and filling body is calculated in consideration of their interaction relation in CSP based on the earth pressure theory. Then, the width calculation models of the broken and plastic zones of three types of CSPs are established on the basis of limit equilibrium theory. On this basis, the mathematical model of the safety design width of the three types of CSPs is proposed to ensure the stability of CSP. Meanwhile, an engineering case of stability width design of CSP is shown. This study can provide theoretical reference and technical support for the engineering design of backfill-strip mining.

2

Liu, Peng Liang. "Research on Surface Movement Deformation Characteristics of Full-Pillar Extraction by Filled Wide Working Face Layout in Strip Mining." Advanced Materials Research 962-965 (June 2014): 1183–88. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.1183.

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Full-pillar extraction by filled wide working face layout in strip mining resolved the course of surface deformation and moving into two period drew support from wide working face layout in partial mining, filling in roof falling zone and full-pillar extraction. It could carry point of reducing mining effect and protecting surface.This paper explained technical principle of full-pillar extraction by filled wide working face layout in strip mining, and analysed effect of wide working face partial mining and roof filling in falling zone in this technology, and researched the features of surface deformation and moving with this technology in a demonstration. Resources under buildings and Coal demand increased year by year with rapid development of economy and it speeding up depletion of common resources,therefor,coal seam under rivers,buildings and railways reasonable mining has important significance for improving recovery and relieving energy shortage.Coal seam under rivers,buildings and railways reserves reached 137.9Gt in State owned coal mine according to statistics, which coal seam under buildings makes 94.68Gt account 69% of the total and constraints mine development.To some degree,although traditional reduce subsidence mining technology settled pressed coal mining problems,but its extension limited by low recovery,the high cost,difficult to carry out and the difference with saving resources and high efficient.Full-pillar extraction by filled wide working face layout in strip mining resolved the course of surface deformation and moving into two period drew support from wide working face layout in partial mining,filling in roof falling zone and full-pillar extraction,which could carry point of reducing mining effect.It is one of the technological approaches to make high recovery,the low cost and high efficient in pressed coal mining.This paper analyzed wide working face in strip mining and filling effects in the strata movement control and researched the ground deformation features by an example with Full-pillar extraction by filled wide working face layout in strip mining.

3

Liu, Yong, and Jie Chen. "Research Status and Development Trend of High Sand Filling Materials." Key Engineering Materials 727 (January 2017): 1079–83. http://dx.doi.org/10.4028/www.scientific.net/kem.727.1079.

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The coal is main energy in our country, it takes many economy and environment problems in the process of exploitation process.With the development of large-scale mining area, mining of rock fracture field and the change of the terrain, vegetation and ecological environmental impact of surface water, ground seriously. This paper introduces about goaf paste filling mining which is the important part of coal green mining technology, it is an effective method to solve subsidence and the problem of coal mining surface ecological environment. Occurrence of aeolian sand and flexible strip filling control effect on the stability of water-resisting layer create conditions for the development of the local water filling mining.The paste filling material prepared with cemented Filling materials has the advantages of low cost and environment protection, which can take the various benefits such as economy, society and environment to diggings.

4

Guo, Song, Guangli Guo, Xiangsheng Yang, and Qiu Du. "Feasibility of Coupling PS System with Building Protection in an Ultrasoft Strata Colliery." Sustainability 13, no. 3 (January 20, 2021): 1015. http://dx.doi.org/10.3390/su13031015.

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To guarantee the stability of a building complex above a planned mining district with ultrasoft strata, strip mining technology (SMT) was applied to control the displacement and deformation caused by underground exploitation. This study attempts to design a reasonable pillar width to establish a stable pillar-support (PS) system composed of ground buildings with coal pillars underneath. Based on the stratigraphic structure of ultrasoft strata and in situ measurement data of mining subsidence monitoring, this study takes an ultrasoft strata colliery in western Henan province, central China, as an example to examine the technical and economical feasibility of the proposed PSsyst under two mining scenarios. The major results indicated that the initial design of pillar width would be 120 m under scenario 1, with expected damage of only 450 mm maximum subsidence predicted by probability integration method (PIM); while under scenario 2, the cost of compensation for buildings’ mining-induced damage would increase to CNY 61.31 million with an expected output of 7.629 million tons of raw coal. Moreover, the protection rate of the residential area in the proposed postmining area of scenario 1 can reach as much as 6.91% comparing to the fully mechanized coal winning technology in scenario 2. Overall, the proposed PSsyst will bring good benefits both economically and environmentally and should be worth promoting as a reference for similar geological and mining conditions in the future.

5

Silva, Juliana da, Thales R. O. de Freitas, Jorge R. Marinho, Günter Speit, and Bernardo Erdtmann. "An alkaline single-cell gel electrophoresis (comet) assay for environmental biomonitoring with native rodents." Genetics and Molecular Biology 23, no. 1 (March 2000): 241–45. http://dx.doi.org/10.1590/s1415-47572000000100042.

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The main advantages of single-cell gel electrophoresis (SCG) are its applicability to any eukaryotic organism and cell type, its low cost and the short time required to obtain results. These properties make the SCG assay particularly useful in screening for environmental genotoxicity. The present study describes a modified version of this technique for use in field work with native rodents and examines some factors which influence the outcome of the assay. Wild rodents (Ctenomys torquatus, "tuco-tuco") from a region close to a strip coal mine and from a region with no coal mines were used. Animals from the coal mining region had significantly more DNA damage than those from the control area. The use of this SCG technique for direct sampling in the field should facilitate environmental genotoxicity studies with natural populations, without the need to remove the animals from their habitat or to sacrifice them.

6

Regulski, Krzysztof, Danuta Szeliga, and Jan Kusiak. "Application of Regression Trees in Optimization of Metal Forming Process." Key Engineering Materials 622-623 (September 2014): 749–55. http://dx.doi.org/10.4028/www.scientific.net/kem.622-623.749.

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Application of sensitivity analysis in optimization of process parameters of production processes for innovative materials, e.g. dual phase steel, requires deterministic model of thermomechanical processes and large datasets that covers whole surface of results. Difficulties in optimization of process parameters correspond with large number of control variables, which should be considered in the technology design. Furthermore, conduction of such analysis takes the great computational cost. Presented work concerns possibility of application of regression trees, especially CART model, in preliminary analysis for sensitivity analysis. Use of data mining algorithms enables acquiring of preliminary, rough results: relationships among parameters of the hot rolling process of dual phase steel strips and rules of optimization of this process, it also does not require any apriori knowledge about thermomechanical processes.

7

Regulski, Krzysztof, Danuta Szeliga, and Jan Kusiak. "Data Exploration Approach Versus Sensitivity Analysis for Optimization of Metal Forming Processes." Key Engineering Materials 611-612 (May 2014): 1390–95. http://dx.doi.org/10.4028/www.scientific.net/kem.611-612.1390.

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Product properties for innovative materials, e.g. dual phase steels, require precise control of production processes. Difficulties in optimization of process parameters correspond with large number of control variables, which should be considered in the technology design. Sensitivity analysis allows evaluating the importance of all process inputs on the final properties of material. Information on the most important inputs is crucial for further design of the process. Application of sensitivity analysis requires detailed knowledge of the process phenomena as well as the definition of the mathematical model of the thermomechanical process. Furthermore, some sensitivity analysis algorithms are of the high computational cost. Presented work concerns possibility of the application of data exploration approach in evaluation of the importance of process inputs as the alternative for sensitivity analysis. Use of data mining algorithms eliminates necessity of mathematical model development, it also does not require any apriori knowledge about the process. Authors presents the comparison of sensitivity analysis and data exploration approach in evaluating relationships between inputs and outputs of the hot rolling for dual phase steel strips. The presented approach and the perspectives of the practical application could lead to significant decrease of time necessary for the computations of process design. The theoretical considerations are supplemented with the results of both types of analysis.

8

Guo, Zhong Ping, Jia Zhuo Li, Chang Hua Li, and Hai Bin Ge. "Short Wall Box Style Mining Method of Strip Coal Pillar under Town." Applied Mechanics and Materials 121-126 (October 2011): 4146–50. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.4146.

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To recover strip coal pillar and reduce cost after strip mining, the short wall box style mining method was presented. Strata stability was analyzed based on support plate theory, mechanical model of the second strata movement was created, and safety factor was deduced .The ground movement and deformation were predicted, with probability integration method. The application demonstrates that this mining method can protect buildings on earth’s surface, improve the recovery ratio of coal and reduce cost. This mining method has a good economic advantage and environmental benefit.

9

Hu, Bingnan. "Study on Strata Movement Control of Twice Strip Mining." Advanced Materials Research 962-965 (June 2014): 1085–90. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.1085.

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In order to further improve the recovery ratio in strip mining, this paper makes use of the law of insufficiency and sufficiency in strata movement and buildings’ additional stress release features, puts forward twice strip mining technology. The paper introduces the method and feasibility of twice strip mining. By analyzing karst cave collapse mechanism, the paper points out vertical cracks and horizontal layer separations are the direct causes of karst caves collapses and small strength mining each time can reduce karst cave collapse. The new technology has been applied in Pinghu Mine. It has totally extracted recoverable coal reserves under village buildings, effectively controlled strata deformation, and successfully avoided karst cave collapse within Yangkeng village.

10

Chen, Jun Tao, Kai Kai Sheng, Li Min Yin, and Chuan Qiang Wu. "Study on Surface Movement and Deformation Characteristics and Pillar Stability of Large Strip Mining under Deep Mining." Advanced Materials Research 734-737 (August 2013): 531–34. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.531.

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Large strip mining technology could effectively control the surface subsidence inducing from overlying strata movement and realize green mining. Bored stress and deformation sensors were laid in 4301 working face pillar of Shandong energy zibo mining group tangkou coal, analyzing the strip pillar stress pre and post working face; numerical simulation was used to study the influence of overlying strata from reserved size of strip pillar. According to the observation results of surface movement and deformation, law of surface movement and deformation characteristics was studied, which contributed to the practical application of large strip mining technology under deep mining and had the important theoretical and practical significance for mining under buildings ,railways and water in Chinese.

11

Gao, Bao Bin, Lin Li, and Hui Gui Li. "Experimental Study on Wide Strip Mining with Similar Simulation under Deep-Lying Seams." Applied Mechanics and Materials 295-298 (February 2013): 3318–22. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.3318.

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The ground movement laws due to wide strip mining under deep-lying seams has been studied with the experiment of similar material model, and the results of experiment could analysis qualitatively that it is feasible for wide strip mining under deep-lying seams. Taking 25 mining area of Hemei 9th mine as geologic background, the model of wide strip mining under deep seams has been made, which was used to study on the deformation of overburden and the ground movement laws. The results of experiment show that the properties and thickness of strata play a control role on the deformation, and the key strata play a core role; the deformation was dispersed with wide strip mining. When the width of strip mining and protective coal pillar are scientific and reasonable, the purpose of increasing the width of strip mining under the condition of controlling deformation could be achieved, and the entire mining area would be formed a flat subsidence basin. These achievements provide a scientific basis for solving the problem for the ground buildings protection in the conditions of wide strip mining under deep-lying seams, and that also provide some references for further studying on the method of wide strip mining under deep-lying seams.

12

Ren, Cheng Hui, Wen Sheng Liu, and Huan Wang. "Research Progress and Prospect of the Control Technology for Mining Subsidence." Advanced Materials Research 361-363 (October 2011): 161–65. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.161.

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The control technology for mining subsidence is the main research area of mining subsidence. Its objective is to study and select mining methods appropriate for reducing the surface and overlying strata subsidence and protecting the surface structures. Referring to the analysis of references, the control technology for mining subsidence is discussed from several aspects including backfill mining method, partial mining method, backfill the collapsed cavities in overlying strata, harmonized mining method and 3-step mining method, stripping mining-goaf grouting, and backfill-strip pillar mining. The developing trend of the control technology is also prospected.

13

Liu, Xin Xi, and Xue Zhi Wang. "Analysis on Ground Subsidence in Underground Mining." Advanced Materials Research 383-390 (November 2011): 2201–5. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.2201.

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Analysis on the characters of ground subsidence of Yangjiaping mining area, with same excavation depth and recovery coefficient, the numerical simulations to nonlinear large deformation using finite-difference method(FLAC) are achieved on the different strip extraction schemes that adopted different mining and reservation width. The result indicates that the subsidence values and horizontal deformation increases with the increasing of the strip extraction width on condition of the same recovery rate. Based on probability density function (PDF) method, the relationship of the coal pillar width, the mining width and ground deformation is acquired, which is some useful reference for using the strip extraction method to control the surface movement and deformation.

14

Lv, Wei Dong, and Nan Nan Zhao. "Research on Supporting Technology of Roadway Driving along Next Goaf of Second Mining Strip Pillar." Advanced Materials Research 446-449 (January 2012): 1657–60. http://dx.doi.org/10.4028/www.scientific.net/amr.446-449.1657.

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For roadway driving along next goaf of strip pillar second mining, being influenced by the abutment pressure of previous coal mining face and main roof breaking rotary deformation, the surrounding rock deformation is serious and the control effect of ordinary bolt supporting on the general stability of roadway driving along next goaf is poorer. According to the concrete geological and technique condition of the 2351 second mining strip pillar in Daizhuang Colliery, adopting the united support pattern combined high strength bolt of levorotatory continuous thread and anchor of low relaxation prestress, the safety of the roadway can be ensured and the stability of the roadway surrounding rocks can be improved. It is of significant reference meaning for bolting support of roadway driving along next goaf of second mining strip pillar under similar condition.

15

Zhao, Tongbin, Shuqi Ma, and Zhenyu Zhang. "Ground Control Monitoring in Backfilled Strip Mining under the Metropolitan District: Case Study." International Journal of Geomechanics 18, no. 7 (July 2018): 05018003. http://dx.doi.org/10.1061/(asce)gm.1943-5622.0001163.

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16

Cao, Wenhao, Xufeng Wang, Peng Li, Dongsheng Zhang, Chundong Sun, and Dongdong Qin. "Wide Strip Backfill Mining for Surface Subsidence Control and Its Application in Critical Mining Conditions of a Coal Mine." Sustainability 10, no. 3 (March 5, 2018): 700. http://dx.doi.org/10.3390/su10030700.

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17

Wang, Feng, Bangyou Jiang, Shaojie Chen, and Mengzi Ren. "Surface collapse control under thick unconsolidated layers by backfilling strip mining in coal mines." International Journal of Rock Mechanics and Mining Sciences 113 (January 2019): 268–77. http://dx.doi.org/10.1016/j.ijrmms.2018.11.006.

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18

Jiang, Zheng Yi. "Analysis of Strip Shape in Cold Rolling of Thin Strip." Advanced Materials Research 189-193 (February 2011): 2980–85. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.2980.

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In this paper, finite element models of the strip shape during cold rolling of thin strip in both symmetrical and asymmetrical rolling cases have been successfully developed, and the effects of rolling parameters on strip shape such as the thickness distribution along the strip width have been obtained. The strip edge drop and shape are discussed under both symmetrical and asymmetrical rolling conditions. Simulation results show that the asymmetrical rolling can reduce the strip edge drop dramatically, which is useful in improving the strip shape and reducing the energy cost during cold rolling of thin strip. The developed finite element model has been verified with the experimental value. The obtained results are applicable to control the rolled thin strip shape in practice.

19

Li, Shuang, Jian Wang, and Sen Chen. "Quality Prediction of Strip in Finishing Rolling Process Based on GBDBN-ELM." Journal of Sensors 2021 (May 19, 2021): 1–14. http://dx.doi.org/10.1155/2021/9943153.

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With the continuous development of the manufacturing industry, the requirement for strip steel quality is becoming higher and higher in automobile manufacturing, mechanical processing, and electronic and electrical industries. The precise control of strip quality depends on the accurate prediction of strip quality to a certain extent. However, the data collected by a large number of sensors on the complex strip production line and generated by the computer control system presents the characteristics of high dimensionality, high coupling, and nonlinearity, which brings difficulties to the prediction of strip quality. The continuous production of massive data in the production line also forces steel enterprises to seek new data mining methods, mining the relationship between sensor data to predict and control strip quality. To solve these problems, this paper proposes a GBDBN-ELM model, which is more efficient and more accurate than other algorithms. In this model, the RBM in DBN is replaced with GBRBM, so that RBM no longer depends on the binary distribution, can handle continuity values, and retain more data features. In order to solve the problem of too long DBN training time, this article replaces the BP network in DBN with an ELM regression model. The ELM model predicts the strip quality based on the extracted data abstract features, thereby improving the model’s prediction accuracy and shortening the training time. In this paper, the GBDBN-ELM model is compared with the BP neural network, ELM, and DBN, and root mean square error, R square coefficient of determination, and training time are selected as evaluation indexes of the models. The experimental results show that the improved GBDBN-ELM model can not only improve the accuracy of strip steel quality prediction but also shorten the time of model training. The model proposed in this paper has achieved good results in prediction accuracy and performance.

20

Brazil, Marcus, Doreen A. Thomas, Jia F. Weng, J. Hyam Rubinstein, and David H. Lee. "Cost Optimisation for Underground Mining Networks." Optimization and Engineering 6, no. 2 (June 2005): 241–56. http://dx.doi.org/10.1007/s11081-005-6797-x.

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21

Mattis, A. R., T. G. Glotova, and G. D. Zaytsev. "Determination of the noise-control public-health zone for blast-free technology of strip mining." Journal of Mining Science 33, no. 5 (September 1997): 478–80. http://dx.doi.org/10.1007/bf02765624.

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22

Brossette, S. E., A. P. Sprague, W. T. Jones, and S. A. Moser. "A Data Mining System for Infection Control Surveillance." Methods of Information in Medicine 39, no. 04/05 (2000): 303–10. http://dx.doi.org/10.1055/s-0038-1634449.

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Abstract:Nosocomial infections and antimicrobial resistance are problems of enormous magnitude that impact the morbidity and mortality of hospitalized patients as well as their cost of care. The Data Mining Surveillance System (DMSS) uses novel data mining techniques to discover unsuspected, useful patterns of nosocomial infections and antimicrobial resistance from the analysis of hospital laboratory data. This report details a mature version of DMSS as well as an experiment in which DMSS was used to analyze all inpatient culture data, collected over 15 months at the University of Alabama at Birmingham Hospital.

23

Yutiaev, Evgeny, Anatoly Meshkov, Anton Popov, and Arcady Shabarov. "Allocation of the geo-dynamically hazardous zones during intensive mining of flat-lying coal seams in the mines of SUEK-Kuzbass JSC." E3S Web of Conferences 134 (2019): 01022. http://dx.doi.org/10.1051/e3sconf/201913401022.

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Hazardous and ineffective mines were closed, and a number of underground and strip mines of a modern technological level were built as a result of the restructuring of the coal industry in Russia. However, safety in the coal mines continues to be one of the urgent issues nowadays. In underground coal mining, the main types of risks are processes occurring in the rock mass as a result of mining operations. It is necessary to realize timeous and the most accurate prediction of harmful events, which occur during a development of coal fields, to increase the efficiency and reduce the cost of coal mining. The most optimal and, at the same time, comprehensive approach to predicting possible natural hazardous events in the process of modern coal mining are considered in this article. The results of implementation of integration of different methods of geodynamic and geomechanics researches are presented in this paper.

24

Qiang, Sun, Zhou Nan, Song Weijian, and Zhao Xu. "Risk Assessment and Prevention of Surface Subsidence under Buildings by Cemented Paste Filling and Strip Mining Methods: A Case Study." Advances in Civil Engineering 2021 (May 26, 2021): 1–10. http://dx.doi.org/10.1155/2021/9965279.

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Intensive and continuous mining of coal resources in China implies their gradual exhaustion, especially in the eastern regions. While some mines face closure, others have to extract residual coal resources under buildings, water bodies, and industrial sites. Thus, safe and efficient mining of the residual coal resources requires innovative techniques, which would account for the particular site’s geological conditions. In this study, two schemes of roadway mining with cemented paste backfilling (RMCPB) and strip mining are put forward. After analyzing the type, construction, and protection standard of the buildings, the probability integration method and the prediction model are used to assess the surface subsidence and deformation. The research results show that both schemes can control the surface deformation to a certain extent, but RMCPB combines the advantages of a high coal recovery rate and disposal of gangue waste. According to the surface subsidence predicted and measured data, the RMCPB method can effectively control the surface subsidence, deformation, and buildings’ safety. It also yields significant economic and environmental benefits.

25

Wang, Hongwei, Yuanwei Jing, Chi Yu, Suxin Wang, and Jing Gao. "Guaranteed cost sliding mode control for discrete-time looper systems in hot strip finishing mills." Journal of Control and Decision 3, no. 2 (February 9, 2016): 151–64. http://dx.doi.org/10.1080/23307706.2016.1143786.

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Yang, Yonghong, Lan Huang, Jiecong Wang, and Yuanbo Xia. "Research on Reference Indicators for Sustainable Pavement Maintenance Cost Control through Data Mining." Sustainability 11, no. 3 (February 8, 2019): 877. http://dx.doi.org/10.3390/su11030877.

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Maintenance management has become increasingly important in the development of highways and government investment, but the shortage of funds is still a serious problem. When the administrative department reviews expense, the existing evaluation methodology cannot be applied to the current national condition and its calculation process is too complicated. Therefore, in order to improve this situation, this paper analyses various factors affecting maintenance costs, and obtains the quantitative relationship between the six main influencing factors such as traffic volume, using time, location, the number of lanes, overlays, and major rehabilitation. Based on regression analysis, an accuracy-based and cost-oriented control methodology is proposed, which can be dynamically updated according to the market conditions. This method is built on the data of 18 typical highways in Guangdong Province, China. The control reference indicators consist of a set of models and confidence intervals, and the actual cost needs to meet the corresponding requirements. In addition, the expenditure characteristics of rehabilitation and reconstruction in China are summarized. Experiments showed that this methodology can be used to guide cost planning and capital allocation in sustainable maintenance and achieved good results in application, making it worthwhile to promote them in other areas.

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Zahan, T., MR Islam, MA Hossain, MF Hossain, Q. Naher, S. Ishtiaque, and MA Ali. "Post-Emergence Weed Control of Strip-Planted Wheat by Herbicides." Bangladesh Agronomy Journal 23, no. 1 (November 4, 2020): 91–99. http://dx.doi.org/10.3329/baj.v23i1.50124.

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Transformation of a wheat field from conventionally heavy tillage to stripplanting is beneficial considering soil health improvement and savings in cultivation cost. Therefore, an experiment was conducted at the experimental field of On-Farm Research Division, Bangladesh Agricultural Research Institute, Gazipur during Rabi season of 2017-18 and 2018-19 to evaluate some available post-emergence herbicides for managing weeds in strip-planted wheat var. BARI Gom-30 and to find out the most effective post-emergence herbicide and its suitable rate for controlling weeds under strip tillage system. Three postemergence herbicides (ethoxysulfuron, carfentrazone-ethyl plus isoproturon and carfentrazone-ethyl) were tested at their label rate and double of the label rate and their performance were compared with two times manual weeded control treatment. The study revealed that application of ethoxysulfuron at label rate and double of the label rate was effective for grass weed control, but not for broadleaf weeds. Application of carfentrazone-ethyl plus isoproturon both at label rate and double of the label rate was effective to control all types of weeds. Moreover, the highest grain and straw yields were recorded from label rate application of carfentrazone-ethyl plus isoproturon and its double rate application was also offered similar results in case of grain and straw yields. However; considering undetermined herbicide residual issue and having adverse effect on wheat leaves and finally on yield, the study discourages double of the label rate application of carfentrazone-ethyl plus isoproturon for managing weeds in wheat under strip tillage system. Bangladesh Agron. J. 2020, 23(1): 91-99

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Johnson, W. C., E. P. Prostko, and B. G. Mullinix. "Texas Panicum (Panicum texanum) Control in Strip-Tillage Peanut (Arachis hypogaea) Production." Peanut Science 29, no. 2 (July 1, 2002): 141–45. http://dx.doi.org/10.3146/pnut.29.2.0012.

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Abstract Studies were conducted from 1999 through 2001 in Georgia to develop Texas panicum management systems in strip-tillage peanut production into a killed rye cover crop. The experimental design was a split-plot with four replications. Main plots were preemergence (PRE) herbicides for annual grass control—ethalfluralin, pendimethalin, metolachlor, alachlor, dimethenamid, and a nontreated PRE control. All plots were irrigated immediately after PRE applications to activate herbicides. Subplots were postemergence (POST) graminicides applied 28 d after peanut emergence—sethoxydim, clethodim, and a nontreated POST control. POST graminicides were applied with a crop oil concentrate. None of the PRE herbicides alone adequately controlled Texas panicum in strip-till peanut production, even with optimum activation with irrigation. Sethoxydim and clethodim controlled Texas panicum at least 91%, regardless of PRE treatments. Peanut yields were greater where ethalfluralin or pendimethalin PRE were applied sequentially with a POST graminicides, compared to PRE herbicides or POST graminicides alone. This suggests that, while POST graminicides effectively control Texas panicum, the reduced efficacy of dinitroaniline herbicides is still beneficial. The additional cost of a POST graminicide needs to be factored into production budgets for strip-tillage peanut production.

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Yu, Mei, Guo Wei Liu, and Bing Kong. "The Design of Spraying Manipulator Control System in Mines." Applied Mechanics and Materials 602-605 (August 2014): 1157–60. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1157.

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In view of the present mining spraying manipulator operation is not flexible ,spraying effect is poor, susceptible to interference and other issues, this paper studies and realizes a kind of low cost, strong practicability of spraying manipulator control system. Using S7-200PLC and 2MA860H drive to control the 86BYG250A stepper motor open-loop control system, and the precise position control is realized. By controlling of the x-y axis mine spraying manipulator. Validate the system operation is simple, highly efficient and stable, energy conservation and environmental protection, strong anti-jamming capability, it can be widely used in all kinds of mining equipment.

30

Ligang, Xu, and Xu Meijuan. "Research on the Negative Externalities Evaluation for the Development of Weathered Crust Elution-Deposited Rare Earth Ores." Advances in Materials Science and Engineering 2020 (October 5, 2020): 1–11. http://dx.doi.org/10.1155/2020/8130196.

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To standardize the specification of negative externality management of mining resources development and promote the process of marketization and diversification of ecological compensation, the article reviews the perspective and method of quantitative evaluation of negative externalities based on summarizing the mineralization principle, characteristics, and three-generation leaching process of weathered crust elution-deposited rare earth ore. Then, the principle of external loss in the process of mining and separation of weathered crust elution-deposited rare earth ore is analyzed and an external loss evaluation system is constructed. In this system, the market value method, shadow engineering method, and labor cost method are mainly used to measure and calculate the industrial “three-waste” pollution control expenses, ecological environment repair cost, and negative external derivative management cost of weathered crust elution-deposited rare earth ore development. Finally, based on the evaluation system, the data of the Longshe rare earth mining area in Jiading Town, Xinfeng County, was evaluated by the empirical study and it is obtained that the negative externality cost of the Longshe rare earth mining area in Xinfeng County is 102,900 RMB/t. National and local governments may refer to this model and data to strengthen the prevention and control of air, water, and soil pollution; scientifically control the ecological environment of weathered crust elution-deposited rare earth waste mines; and safeguard the livelihood and well-being of the residents of mining areas.

31

Zhang, Ming, Xuelong Hu, Hongtao Huang, Guangyao Chen, Shan Gao, Chao Liu, and Lihua Tian. "Mechanism and Prevention and Control of Mine Earthquake in Thick and Hard Rock Strata considering the Horizontal Stress Evolution of Stope." Shock and Vibration 2021 (February 19, 2021): 1–14. http://dx.doi.org/10.1155/2021/6680928.

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This study investigated the mechanism, prevention measures, and control methods for earthquake disasters typically occurring in mines with thick and hard rock strata. A mine stope with large faults and thick hard rock strata in Hebei Province was taken as the background study object. Then, theoretical analysis and numerical simulation methods were adopted in conjunction with field monitoring to explore how horizontal stress evolves in the thick and hard hanging roofs of such mines, potentially leading to mining earthquakes. Then, based on the obtained results, a mining design method was proposed to reduce the horizontal stress levels of earthquake mitigation. The results showed that, under the control of large faults, semiopen and semiclosed stopes with thick hard rock strata are formed, which cause influentially pressurized and depressurized zones during the evolution of the overburden movements and horizontal stress. It was determined that the stress concentrations mainly originated from the release and transfer of horizontal stress during the rock fractures and movements in the roof areas, which were calculated using a theoretical estimation model. The horizontal stress concentrations formed “counter torques” at both ends of the thick and hard strata, which prevented the support ending due to tensile failures. As a result, the limit spans were increased. This study proposed a mining strategy of using narrow working faces, strip mining processes, and reasonable mining speeds, which could effectively reduce horizontal stress concentrations and consequently prevent and control mining earthquakes. This study’s research results were successfully applied to the mining practices in working face 16103.

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Stockton, David John, Riham Ashley Khalil, and Lawrence Manyonge Mukhongo. "Cost model development using virtual manufacturing and data mining: part II—comparison of data mining algorithms." International Journal of Advanced Manufacturing Technology 66, no. 9-12 (September 2, 2012): 1389–96. http://dx.doi.org/10.1007/s00170-012-4416-5.

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33

Buttlar, William G., Diyar Bozkurt, and Barry J. Dempsey. "Cost-Effectiveness of Paving Fabrics Used to Control Reflective Cracking." Transportation Research Record: Journal of the Transportation Research Board 1730, no. 1 (January 2000): 139–49. http://dx.doi.org/10.3141/1730-17.

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The Illinois Department of Transportation (IDOT) spends $2 million annually on reflective crack control treatments; however, the cost-effectiveness of these treatments had not been reliably determined. A recent study evaluated the cost-effectiveness of IDOT reflective crack control System A, which consists of a nonwoven polypropylene paving fabric, placed either in strips longitudinally over lane-widening joints or over the entire pavement (area treatment). The study was limited to projects constructed originally as rigid pavements and subsequently rehabilitated with one or more bituminous overlays. Performance of 52 projects across Illinois was assessed through crack mapping and from distress and serviceability data in IDOT’s condition rating survey database. Comparisons of measured reflective cracking in treated and control sections revealed that System A retarded longitudinal reflective widening crack development, but it did not significantly retard transverse reflective cracking, which agrees with earlier studies. However, both strip and area applications of these fabric treatments appeared to improve overall pavement serviceability, and they were estimated to increase rehabilitation life spans by 1.1 and 3.6 years, respectively. Reduction in life-cycle costs was estimated to be 4.4 and 6.2 percent when placed in medium and large quantities, respectively, and to be at a break-even level for small quantities. However, life-cycle benefits were found to be statistically insignificant. Limited permeability testing of field cores taken on severely distressed transverse joints suggested that waterproofing benefits could exist even after crack reflection. This was consistent with the observation that, although serviceability was generally improved with area treatment, crack reflection was not retarded relative to untreated areas.

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Li, Xu, Feng Luan, and Yan Wu. "A Comparative Assessment of Six Machine Learning Models for Prediction of Bending Force in Hot Strip Rolling Process." Metals 10, no. 5 (May 22, 2020): 685. http://dx.doi.org/10.3390/met10050685.

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In the hot strip rolling (HSR) process, accurate prediction of bending force can improve the control accuracy of the strip crown and flatness, and further improve the strip shape quality. In this paper, six machine learning models, including Artificial Neural Network (ANN), Support Vector Machine (SVR), Classification and Regression Tree (CART), Bagging Regression Tree (BRT), Least Absolute Shrinkage and Selection operator (LASSO), and Gaussian Process Regression (GPR), were applied to predict the bending force in the HSR process. A comparative experiment was carried out based on a real-life dataset, and the prediction performance of the six models was analyzed from prediction accuracy, stability, and computational cost. The prediction performance of the six models was assessed using three evaluation metrics of root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2). The results show that the GPR model is considered as the optimal model for bending force prediction with the best prediction accuracy, better stability, and acceptable computational cost. The prediction accuracy and stability of CART and ANN are slightly lower than that of GPR. Although BRT also shows a good combination of prediction accuracy and computational cost, the stability of BRT is the worst in the six models. SVM not only has poor prediction accuracy, but also has the highest computational cost while LASSO showed the worst prediction accuracy.

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Sun, Dequan, Quanlin Wu, Xiaoyan Li, Zhaomin Zhang, Xiaotian Xu, Yang Li, and Quansen Wu. "Sensitivity Analysis and Numerical Simulation Study on Main Controlling Factors of Surface Movement and Deformation in Strip Filling Mining under Thick Unconsolidated Layers." Geofluids 2021 (June 29, 2021): 1–10. http://dx.doi.org/10.1155/2021/6615937.

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In many mining areas, there is a lot of pressed coal under buildings, railways, and water bodies, and there are geological conditions of thick unconsolidated layers, so the surface subsidence has certain particularity. The key to solve the problem of pressed coal is the control technology of surface subsidence. The development of strip filling technology provides a kind of economical and effective surface subsidence control technology. With the passage of time, the natural weathering, flow, and fracture of some coal pillars may lead to the instability and failure of some coal pillars. Therefore, the selection of filling parameters plays an important role in the stability of coal pillars. In order to study the influence factors of surface movement and deformation, considering the influence factors of filling rate, key layer thickness, filling body strength, and unconsolidated layer thickness, FLAC 3D was used to simulate the surface movement deformation, and the orthogonal test method was used to analyze the simulation results, and the sensitivity of the main control factors affecting the surface deformation affected by strip filling mining was studied. The results show that the order of importance of the four factors on the four surface movement and deformation parameters is filling rate > key layer thickness > filling body strength > unconsolidated layer thickness. The influence of these four factors on the surface movement and deformation parameters is gradually decreasing, but the influence degree of different factors has drawn a certain gradient.

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Brodny, Jarosław, Sara Alszer, Jolanta Krystek, and Magdalena Tutak. "Availability analysis of selected mining machinery." Archives of Control Sciences 27, no. 2 (June 1, 2017): 197–209. http://dx.doi.org/10.1515/acsc-2017-0012.

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Abstract Underground extraction of coal is characterized by high variability of mining and geological conditions in which it is conducted. Despite ever more effective methods and tools, used to identify the factors influencing this process, mining machinery, used in mining underground, work in difficult and not always foreseeable conditions, which means that these machines should be very universal and reliable. Additionally, a big competition, occurring on the coal market, causes that it is necessary to take action in order to reduce the cost of its production, e.g. by increasing the efficiency of utilization machines. To meet this objective it should be pro-ceed with analysis presented in this paper. The analysis concerns to availability of utilization selected mining machinery, conducted using the model of OEE, which is a tool for quantitative estimate strategy TPM. In this article we considered the machines being part of the mechanized longwall complex and the basis of analysis was the data recording by the industrial automation system. Using this data set we evaluated the availability of studied machines and the structure of registered breaks in their work. The results should be an important source of information for maintenance staff and management of mining plants, needed to improve the economic efficiency of underground mining.

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Feng, Yanbiao, and Zuomin Dong. "Integrated design and control optimization of fuel cell hybrid mining truck with minimized lifecycle cost." Applied Energy 270 (July 2020): 115164. http://dx.doi.org/10.1016/j.apenergy.2020.115164.

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38

Aly, Shady, Hend Abdelaaty, Osama Muneer Dawood, and Hussein M. A. Hussein. "Optimization of strip-layout using graph-theoretic methodology for stamping operations on progressive die: a case study." International Journal for Simulation and Multidisciplinary Design Optimization 12 (2021): 5. http://dx.doi.org/10.1051/smdo/2021004.

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The design of the progressive die stamping process is optimized through minimizing the number of die stamping stations in the strip layout to reduce the die cost. In order to accomplish such end, in this study, a graph-theoretic based method is implemented to model and optimize the strip layout design. This method starts with mapping stamping features into stamping operations. This step is followed by constructing two graphs to model the precedence and adjacency constraints among stamping operations based on a set of manufacturing rules. These two graphs are called: operation precedence graph and operation adjacency graph. In the next step, a topological sorting algorithm clusters the operations into partially ordered sets. Then, a graph coloring algorithm clusters the partially ordered operations sets into final sequence of operations. The graph-theoretic technique has been implemented on a part currently manufactured by laser cutting process technology in some Egyptian factory in Cairo. This study indicated that the graph-theoretic technique offers several advantages including the ease of programming and transparency in understanding the obtained strip layout design. This is besides being a systematic and logically approach to obtain an optimized strip layout design. In general, the progressive die manufacturing can increase productivity of sheet metal works in Egypt, only in situations of mass production. The limitation is that it requires considerable skill level and training for labor to conduct die strip layout design.

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Aguirre-Jofré, H., M. Eyre, S. Valerio, and D. Vogt. "Low-cost internet of things (IoT) for monitoring and optimising mining small-scale trucks and surface mining shovels." Automation in Construction 131 (November 2021): 103918. http://dx.doi.org/10.1016/j.autcon.2021.103918.

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40

Niu, Jian-Wei, Meikang Qiu, Xiaofei Wang, Jiayin Li, Gang Wu, and Tianzhou Chen. "Cost Minimization with HPDFG and Data Mining for Heterogeneous DSP." Journal of Signal Processing Systems 67, no. 3 (October 7, 2010): 213–28. http://dx.doi.org/10.1007/s11265-010-0546-x.

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41

Lv, Zhi Jun, Qian Xiang, and Jian Guo Yang. "A Novel Data Mining Method on Quality Control within Spinning Process." Applied Mechanics and Materials 224 (November 2012): 87–92. http://dx.doi.org/10.4028/www.scientific.net/amm.224.87.

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Rough sets theory (RST) is a new data mining method that effectively deals with the problems with inexact, uncertain or vague knowledge in a complex information system. This paper investigates knowledge discovery methods from the textile industrial database, and then presents a RST-based intelligent control model (ICM) for spinning process. In order to analyze the yarn strength when the characteristics of fibers are given, a rule extraction method based on RST is researched. The logical rules extracted from the decision table indicate that the initial strength of fibers is a key factor influencing on the yarn strength. At the same time, the different values combination of the final reduced attributes also obviously influence on the yarn strength in different degree when the certain nominal yarn is being processed. Therefore, RST method can be taken into account for spinners to choose suitable fiber materials in order to ensure the quality and reduce cost.

42

Sun, Jie, Wen Peng, Jingguo Ding, Xu Li, and Dianhua Zhang. "Key Intelligent Technology of Steel Strip Production through Process." Metals 8, no. 8 (July 31, 2018): 597. http://dx.doi.org/10.3390/met8080597.

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Because of the complexity of procedure interface and working conditions, the further improvement of steel strip quality and production efficiency is limited. Realizing the optimization of product quality and production process in multi-process, system-level through intelligent key technology is one of the strategic directions in steel strip production. (1) Collaborative intelligent optimization and dynamic scheduling technology for steel manufacturing supply chain oriented to customized production, reducing the cost of raw material purchase and production operations and improving production efficiency and precision service ability; (2) Online monitoring, diagnosis and optimization technology of product quality. Getting through the process information flow of product, the correlation analysis of process quality parameters, the tracing of quality anomalies, the reverse optimization of process parameters and the optimization of process route will be realized; (3) Multi-process coordination optimization and quality control based on CPS architecture. The precise control technology of process quality parameters will be developed; the structure of multi-process coordination optimization system is established and optimization of key quality parameters in the through process will be realized; and (4) Microstructure and mechanical property optimization and surface quality intelligent control technology in the hot strip rolling process. Intelligent prediction of microstructure and mechanical properties, rapid dynamic design and steel grade merging technology will be formed and green process design technology of oxide scale will be developed.

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Lv, Wen Yu, and Zhi Hui Zhang. "Research on the Belt Loader Waste Rock Gravity Backfill Mining Technology." Applied Mechanics and Materials 253-255 (December 2012): 1036–39. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1036.

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Backfill mining is an important technology of surface subsidence control and green mining. This paper analyzes the application condition and filling effect of waste rock gravity backfill mining, it also introduces a new waste rock gravity backfill mining technology which utilizes belt loader to transport waste rock to goaf. Belt loader waste rock gravity backfill mining can consume waste rock and achieve environmental protection, it also has the advantages of low filling cost, simple filling system, low labor intensity and safety, etc, so it can be promoted and applied in collieries widely.

44

Grimble, M. J. "Multichannel Optimal Linear Deconvolution Filters and Strip Thickness Estimation From Gauge Measurements." Journal of Dynamic Systems, Measurement, and Control 117, no. 2 (June 1, 1995): 165–74. http://dx.doi.org/10.1115/1.2835176.

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A solution is presented to the H2 optimal deconvolution filtering, smoothing and prediction problems for multivariable, discrete, linear signal processing problems. A weighted H2 cost-function is minimized where the dynamic weighting function can be chosen for robustness improvement. The signal and noise sources can be correlated and signal channel dynamics can be included in the system model. The estimation of the thickness of steel strip given X-ray gauge measurements is then considered. The deconvolution problem arises because the thickness at the roll gap is required for control purposes whereas the measurement occurs some time later when the strip reaches the X-ray gauge.

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Williams, Trefor P., and Jie Gong. "Predicting construction cost overruns using text mining, numerical data and ensemble classifiers." Automation in Construction 43 (July 2014): 23–29. http://dx.doi.org/10.1016/j.autcon.2014.02.014.

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46

Xiang, Qian, Zhi Jun Lv, Jian Guo Yang, and Xiang Gang Yin. "Mining Rule of Quality Control for Spinning Process with Rough Set Theory." Applied Mechanics and Materials 80-81 (July 2011): 1021–26. http://dx.doi.org/10.4028/www.scientific.net/amm.80-81.1021.

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Due to absence of an integral mathematical model, quality control in spinning process has been hard problem for a long time. Rough sets theory (RST) is a methodology that effectively deals with the problems with inexact, uncertain or vague knowledge in a complex information system. Considering a mass of data from spinning process and inspection, as well as the variety of knowledge and experience from domain experts, an RST-based intelligent control model for spinning process is presented in this paper. In order to analyze the yarn strength when the characteristics of fibers are given, a rule extraction method based on RST is researched. The logical rules extracted from the decision table indicate that the initial strength of fibers is a key factor influencing on the yarn strength. At the same time, the different values combination of the final reduced attributes also obviously influence on the yarn strength in different degree when the certain nominal yarn is being processed. Therefore, RST method can be taken into account for spinners to choose suitable fiber materials in order to ensure the quality and reduce cost.

47

Zheng, Qi, Huihuang Wu, Haiyan Jiang, Jiejie Yang, and Yueming Gao. "Development of a Smartphone-Based Fluorescent Immunochromatographic Assay Strip Reader." Sensors 20, no. 16 (August 13, 2020): 4521. http://dx.doi.org/10.3390/s20164521.

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Fluorescence immunochromatographic assay (FICA) is a rapid immunoassay technique that has the characteristics of high precision and sensitivity. Although image FICA strip readers have the advantages of high portability and easy operation, the use of high-precision complementary metal oxide semiconductor (CMOS) image sensors leads to an increase in overall cost. Considering the popularity of CMOS image sensors in smartphones and their powerful processing functions, this work developed a smartphone-based FICA strip reader. An optical module suitable for the test strips with different fluorescent markers was designed by replacing the excitation light source and the light filter. An android smartphone was used for image acquisition and image denoising. Then, the test and control lines of the test strip image were recognized by the sliding window algorithm. Finally, the characteristic value of the strip image was calculated. A linear detection range from 10 to 5000 mIU/mL (R2 = 0.95) was obtained for human chorionic gonadotrophin with the maximum relative error less than 9.41%, and a linear detection range from 5 to 4000 pg/mL (R2 = 0.99) was obtained for aflatoxin B1, with the maximum relative error less than 12.71%. Therefore, the smartphone-based FICA strip reader had high portability, versatility, and accuracy.

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Xu, Yujun, Liqiang Ma, and Yihe Yu. "Water Preservation and Conservation above Coal Mines Using an Innovative Approach: A Case Study." Energies 13, no. 11 (June 2, 2020): 2818. http://dx.doi.org/10.3390/en13112818.

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To better protect the ecological environment during large scale underground coal mining operations in the northwest of China, the authors have proposed a water-conservation coal mining (WCCM) method. This case study demonstrated the successful application of WCCM in the Yu-Shen mining area. Firstly, by using the analytic hierarchy process (AHP), the influencing factors of WCCM were identified and the identification model with a multilevel structure was developed, to determine the weight of each influencing factor. Based on this, the five maps: overburden thickness contour, stratigraphic structure map, water-rich zoning map of aquifers, aquiclude thickness contour and coal seam thickness contour, were analyzed and determined. This formed the basis for studying WCCM in the mining area. Using the geological conditions of the Yu-Shen mining area, the features of caved zone, water conductive fractured zone (WCFZ) and protective zone were studied. The equations for calculating the height of the “three zones” were proposed. Considering the hydrogeological condition of Yu-Shen mining area, the criteria were put forward to evaluate the impact of coal mining on groundwater, which were then used to determine the distribution of different impact levels. Using strata control theory, the mechanism and applicability of WCCM methods, including height-restricted mining, (partial) backfill mining and narrow strip mining, together with the applicable zone of these methods, were analyzed and identified. Under the guidance of “two zoning” (zoning based on coal mining’s impact level on groundwater and zoning based on applicability of WCCM methods), the WCCM practice was carried out in Yu-Shen mining area. The research findings will provide theoretical and practical instruction for the WCCM in the northwest mining area of China, which is important to reduce the impact of mining on surface and groundwater.

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Zhang, Jing, Na Li, Jie Yang, and Na Lv. "The Application of OLAP in Logistics System of Steel-Production." Applied Mechanics and Materials 577 (July 2014): 1296–99. http://dx.doi.org/10.4028/www.scientific.net/amm.577.1296.

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The cost control of Enterprises, logistics cost has become one of the important components. In this paper, based on SQL Server2000 database steel production logistics information multi-dimensional data set is established based on the on-line analytical processing (OLAP) base. The production logistics information data of steelmaking workshop in the data mining process come true, which will help enterpriser to make decisions.

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Akanwe Asiwe, Joseph Nwafor. "Yield and Economic Assessments of Five Cowpea Varieties in Cowpea-Maize Strip Intercropping in Limpopo Province, South Africa." International Journal of Agriculture and Biology 25, no. 01 (January 1, 2021): 27–32. http://dx.doi.org/10.17957/ijab/15.1634.

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Farmers‟ traditional cropping practice in Limpopo Province is to mix and broadcast crops at planting without definite row arrangement. Although this practice is very easy and cost-saving, it leads to low plant density, hinders farm input application, and results in low crop yields and poor return on investment. Strip intercropping, where crops are planted with definite row arrangement, reduces inter-species competition, optimises plant population, and increases crop yield. Five cowpea varieties i.e. „TVu 13464‟, „IT86D-1010‟, „Glenda‟, „IT82E-16‟ and „IT87K-499-35‟ and maize was grown under strip intercropping, monocropping, and mixed intercropping as a control during two seasons. During both years, significant interactions were obtained between the cowpea varieties and the cropping systems in most of the variables measured. Cowpea sown in the strip intercropping performed better compared those sown in mixed intercropping. Cowpea varieties „IT86D-1010‟, „IT82E-16‟ and „IT87K-499-35‟ harvested more grain yield under monocropping and strip intercropping than under mixed intercropping. The land equivalent ratio (LER) of strip intercropping during the two seasons ranged between 1.25 and 2.29 and was higher compared to mixed intercropping, which ranged between 0.50 and 1.32. In conclusion, cowpea varieties „IT86D-1010‟, „IT82E-16‟ and „IT87K-499-35‟ sown with maize as strip intercropping resulted more profits under intercropping systems and were recommended for cultivation by farmers in the Limpopo region with low rainfall. Moreover, grain yield, LER, and net profit achieved by strip intercropping was three-fold more than mixed intercropping. © 2021 Friends Science Publishers

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