Journal articles: 'Building Inspection System'

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Tsai, Meng-Han, Hao-Yung Chan, and Liang-Yuan Liu. "Conversation-Based School Building Inspection Support System." Applied Sciences 10, no. 11 (May 28, 2020): 3739. http://dx.doi.org/10.3390/app10113739.

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A conversation-based system is proposed for supporting assessors in performing existing school building inspections. School building safety is a pressing issue; however, some difficulties in the overall process require solutions or improvements, including the complexity of building inspection tasks, the restrictions posed by the paperwork process, and the ineffectiveness of the management of existing school building inspections. In this study, we developed a conversation-based building inspection support system to reduce such problems, with the proposed system notifying and guiding assessors to complete building inspections, combined with a dashboard for managers to consume reports to determine whether further assessments or retrofits are required. The process of school building inspections was digitalized, with a chatbot implemented that features notifications either according to a routine inspection schedule or postseismic events, a conversation-based interface for guiding nonprofessional assessors, the integration of intuitive activation of inspections after receiving notifications, the use of multimedia to show damage directly without the possibility of mistakes, and data visualization for supporting managerial decision-making to enhance the quality and accuracy of budget allocation.

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Pereira, Clara, Jorge de Brito, José D. Silvestre, and Inês Flores-Colen. "Atlas of Defects within a Global Building Inspection System." Applied Sciences 10, no. 17 (August 25, 2020): 5879. http://dx.doi.org/10.3390/app10175879.

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Building inspection systems are essential to optimise building maintenance. In the context of developing a global building inspection system, the lack of an expeditious tool to identify defects and their urgency of repair was detected. This study intends to propose an atlas of defects applicable to several types of building elements/materials, simplifying issues associated with the diagnosis of building pathology. A database was devised using previously developed components of the global inspection system: the classification list of defects and the urgency of repair parameters. Such a database was structured using several pages, each one with tables organised according to types of defects, building elements/materials and levels of urgency of repair (five-level scale—0–4). The atlas of defects has 38 pages in total, each for a different type of defect. The levels of urgency of repair are illustrated with photographs and described with concise classification criteria. Not all levels of urgency of repair apply to all defect–building element/material combinations; levels 1, 2 and 3 are those most often considered. The proposed atlas of defects is an innovative approach, useful to assist surveyors during technical inspections of buildings, whose concept may be adapted to other inspection systems.

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Borrmann, André, Katharina Lukas, Marc Zintel, Peter Schießl, and Michael Kluth. "BIM-Based Life-Cycle Management for Reinforced Concrete Buildings." International Journal of 3-D Information Modeling 1, no. 1 (January 2012): 1–24. http://dx.doi.org/10.4018/ij3dim.2012010101.

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This paper introduces the concept of a BIM-based life-cycle management system for reinforced concrete buildings. The system allows one to compute a prognosis of the building’s condition taking into account the material properties of individual components, the environmental load as well as measurement data from current inspections. This prognosis then forms foundations for scheduled maintenance and repair actions in an economically efficient way. A particularly important feature of the presented system is that all input data as well as the computational results are associated with a (full) 3D Building Information Model (BIM) of the construction. In this way, an easy localization of the information is achieved facilitating both the data collection and the estimation of the building condition for engineers involved in inspection planning, inspection or the scheduling of repair actions. To further facilitate data input and interpretation, a hierarchic level-of-detail approach is employed for structuring the building model, ranging from building level down to individual hot spots. Additionally, the integration of a meta-model allows the flexible adaption of the semantic data model to specific buildings types or the particular needs of the users.

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Tanaka, Satoshi, and Kishie Shigekawa. "Development of Training System for Building Damage Assessment Using Actual Buildings." Journal of Disaster Research 9, no. 2 (March 1, 2014): 188–97. http://dx.doi.org/10.20965/jdr.2014.p0188.

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Buildings are checked after disasters for such diverse factors as building safety, disaster victim relief application and insurance claim payment. Visual evaluation by different inspectors used in these types of inspection to ascertain and assess the extent of damage tends to lead to variations in results. Fairness is especially called for in the inspection of building damage for victim relief conducted by local government officials, because results are one criterion for providing access to relief programs for such victims. Japan’s revised Disaster Countermeasures Basic Act clearly stipulates that local governments must train inspectors in damage assessment during normal times, usually once a year at most. This training has consisted mainly of studying inspection criteria and procedures in the context of classroom lectures. Problems have been pointed out with this training, e.g., that trainees acquire knowledge on building damage inspection but have little opportunity for gaining practical learning experience. This paper describes the training system we developed based on learning experience in which the trainee experiences the procedural flow of assessing an entire actual building. As the first step, a detailed inspection was done on a house in Ojiya, Niigata prefecture, which was damaged in the 2004 Niigata Chuetsu earthquake. The condition of the house was checked and the records were incorporated into a database. Inspection records were then analyzed and assessed using assessment criteria for damage certification provided by the Japanese government’s Cabinet Office and established as detailed model solutions. Records of damage status and model solutions were input to tablet PCs and building damaged conditions reconstructed. In practical training sessions, trainees used these tablet PCs to inspect damage to different parts of the building, input results, and compared their own assessment results to model solutions. This system was used in training programs conducted for local government officials and its effectiveness discussed. The learning process involved in training was thus implemented so that trainees acquired knowledge, experienced the procedural flow of damage assessment using an actual building, and compared their results to detailed model solutions to identify their errors and examine causes.

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Mader, D., R. Blaskow, P. Westfeld, and C. Weller. "POTENTIAL OF UAV-BASED LASER SCANNER AND MULTISPECTRAL CAMERA DATA IN BUILDING INSPECTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 1135–42. http://dx.doi.org/10.5194/isprsarchives-xli-b1-1135-2016.

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Conventional building inspection of bridges, dams or large constructions in general is rather time consuming and often cost expensive due to traffic closures and the need of special heavy vehicles such as under-bridge inspection units or other large lifting platforms. In consideration that, an unmanned aerial vehicle (UAV) will be more reliable and efficient as well as less expensive and simpler to operate. The utilisation of UAVs as an assisting tool in building inspections is obviously. Furthermore, light-weight special sensors such as infrared and thermal cameras as well as laser scanner are available and predestined for usage on unmanned aircraft systems. Such a flexible low-cost system is realized in the ADFEX project with the goal of time-efficient object exploration, monitoring and damage detection. For this purpose, a fleet of UAVs, equipped with several sensors for navigation, obstacle avoidance and 3D object-data acquisition, has been developed and constructed. This contribution deals with the potential of UAV-based data in building inspection. Therefore, an overview of the ADFEX project, sensor specifications and requirements of building inspections in general are given. On the basis of results achieved in practical studies, the applicability and potential of the UAV system in building inspection will be presented and discussed.

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Mader, D., R. Blaskow, P. Westfeld, and C. Weller. "POTENTIAL OF UAV-BASED LASER SCANNER AND MULTISPECTRAL CAMERA DATA IN BUILDING INSPECTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 1135–42. http://dx.doi.org/10.5194/isprs-archives-xli-b1-1135-2016.

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Conventional building inspection of bridges, dams or large constructions in general is rather time consuming and often cost expensive due to traffic closures and the need of special heavy vehicles such as under-bridge inspection units or other large lifting platforms. In consideration that, an unmanned aerial vehicle (UAV) will be more reliable and efficient as well as less expensive and simpler to operate. The utilisation of UAVs as an assisting tool in building inspections is obviously. Furthermore, light-weight special sensors such as infrared and thermal cameras as well as laser scanner are available and predestined for usage on unmanned aircraft systems. Such a flexible low-cost system is realized in the ADFEX project with the goal of time-efficient object exploration, monitoring and damage detection. For this purpose, a fleet of UAVs, equipped with several sensors for navigation, obstacle avoidance and 3D object-data acquisition, has been developed and constructed. This contribution deals with the potential of UAV-based data in building inspection. Therefore, an overview of the ADFEX project, sensor specifications and requirements of building inspections in general are given. On the basis of results achieved in practical studies, the applicability and potential of the UAV system in building inspection will be presented and discussed.

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Kimura, Takahiro, Tao Zhang, and Hiroatsu Fukuda. "A Proposal for the Development of a Building Management System for Extending the Lifespan of Housing Complexes in Japan." Sustainability 11, no. 20 (October 12, 2019): 5622. http://dx.doi.org/10.3390/su11205622.

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A modified periodic inspection reporting system based on Article 12 of the Building Standards Act was enforced on 1 April 2008 in Japan. The Periodic Inspection Reporting System based on the article entered its 11th year since its enforcement in 2019. We investigated more than 100 residential building inspection reports based on this article in Kitakyushu of Japan and found what kind of defects can be reported in this investigation system. In this paper, we show the typical defects and related problems of Japanese residential buildings. According to the data, we scrutinized existing building inspection and maintenance procedures defining the problematic areas of older housing complexes and outlined some deterioration trends. We analyzed, in particular, the state of building foundations, exterior and interior walls, roofs, evacuation passages, facilities, and the state of exterior tiles in the function of solar orientation, and quantified the number of problems correlated to the age of the buildings. In parallel, we reviewed the current state of the laws and policies applied to building quality and management in Japan. We analyzed the whole building inspection process, identifying some flaws that limit its effectiveness and reach, due mostly to miscommunications between the property owners, local government, and the contractors. Based on that, we proposed an alternative and improved building management system.

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Zhang, Daxin, Jinyue Zhang, Haiming Xiong, Zhiming Cui, and Dan Lu. "Taking Advantage of Collective Intelligence and BIM-Based Virtual Reality in Fire Safety Inspection for Commercial and Public Buildings." Applied Sciences 9, no. 23 (November 24, 2019): 5068. http://dx.doi.org/10.3390/app9235068.

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Commercial and public buildings are more vulnerable to fires because of their complex use functions, large number of centralized occupants, and the dynamic nature of the use of space. Due to the large number of these types of buildings and the limited availability of manpower, annual fire inspections cannot ensure the continuous compliance of fire codes. A crowdsourcing application, iInspect, is proposed in this paper to harvest collective intelligence in order to conduct mass inspection tasks. This approach is supported by building information modeling (BIM) based virtual reality (VR) and an indoor real-time localization system. Based on the International Fire Code and 27 fire inspection checklists compiled by various local authorities, a generic list of inspection items suitable for iInspect is proposed, along with a reputation-based monetary incentive model. A prototype of iInspect was created for Android mobile phones, and a case study was performed in an office building in Tianjin, China, for verification of this crowdsourcing inspection approach.

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Liao, Chu Tsen, Chia Liang Weng, and Yang Sheng Fang. "A Study on the Regulations for Inspection Method of High-Rise Building Exterior Wall Tile in Taiwan and Japan." Advanced Materials Research 1079-1080 (December 2014): 183–86. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.183.

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Tile is one of the most popular materials for high-rise building exterior wall construction in Taiwan. High-rise buildings in Taiwan were first built approximately 35 years ago. Wall tiles of these buildings currently are deteriorated facing the need of repair. In recent years, subject of exterior wall tile inspection at high-rise building have gained considerable attention. Taiwan government enacted the regulations on fire evacuation and equipment inspection for building safety. And attempt to add the article of exterior wall inspection for building safety. In other ways, high-rise buildings were first built approximately 50 years ago in Japan. Inspection and repair work for high-rise buildings plays an important role in the building construction market in Japan. Jurisdiction of Ministry of Land, Infrastructure, Transport and Tourism legislate the regulations “Periodic Report System”. Exterior wall inspection methods were regulated under these regulations. In order to sustain safety quality environment within existent high-rise buildings, it is necessary for Taiwan government to legislate on exterior wall inspection today. The purpose of this study is to compare the regulations for inspection method of high-rise building exterior wall tile in Taiwan and Japan. We hope the conclusion of this study could give a significant suggestion to Taiwan building inspection method in the future.

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Bortolini, Rafaela, and Núria Forcada. "Building Inspection System for Evaluating the Technical Performance of Existing Buildings." Journal of Performance of Constructed Facilities 32, no. 5 (October 2018): 04018073. http://dx.doi.org/10.1061/(asce)cf.1943-5509.0001220.

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Sun, Shi Yu. "Reflections on Environmental Inspection Culture Building." Applied Mechanics and Materials 253-255 (December 2012): 1024–27. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1024.

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This paper analyzed the importance and necessity of building environmental inspection culture system, then system framework has been constructed by referencing that established in labor security supervision department and disciplinary department. Six cultures in the system are: philosophy culture, responsibility culture, organization culture, behavior culture, system culture and incorruptibility culture. By discussing content of each culture, several recommendations have been made including people-oriented philosophy culture abstraction, high-efficient responsibility culture highlight, distinctive organization culture improvement, internal and external behavior culture enhancement, orderly system culture and complete incorruptibility culture construction.

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Che-Ani, Adi Irfan, Ishan Ismail, Suhana Johar, Mohd Zulhanif Abd-Razak, and Noraini Hamzah. "Condition Survey Protocol: A System for Building Condition Assessment." Applied Mechanics and Materials 747 (March 2015): 347–50. http://dx.doi.org/10.4028/www.scientific.net/amm.747.347.

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Building inspection is an important tool in determining building condition by detecting defects and their symptoms. A quick and practical approach is needed to perform periodic building inspection, as a screening process before conducting a more detailed inspection for severe defects. Based on previous research, it is important to establish a screening tool based on building rating. Hence, we developed Condition Survey Protocol (CSP) matrix as a standard for visual building inspection which based on two assessment; Condition Assessment and Priority Assessment. Later, an online system developed for analysis and reporting purposes. The system proved to be able to facilitate and accelerate the process of data analysis as well as to avoid any errors. Besides, the features of the systems are easy to access, flexible, user-friendly and systematic. However, some amendment should be made to improve the existing system in terms of matrix scale. The amendment should be helpful to identify the actual building condition in more details.

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Takada, Yogo, Yuhei Tokura, Yodai Matsumura, Takahiro Tanaka, and Tatsuki Kanada. "Wall Inspection Robot with Maneuvering Assist Control System Against Crosswind." Journal of Robotics and Mechatronics 30, no. 3 (June 20, 2018): 416–25. http://dx.doi.org/10.20965/jrm.2018.p0416.

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Many social infrastructures and buildings are aging. Therefore, inspections to find deteriorated parts to prevent accidents are important. However, significant costs and inspection time are required for the current technologies. Therefore, inspection methods using robots are attracting attention. As the most appropriate option to traverse freely on concrete bridges and building walls is by traversing with lift force from propellers, a robot called HORNET has been developed that can run along a wall with two rotors. However, the floating-type robot with propellers could drop from a wall if hit by strong wind. Therefore, a gyro sensor was installed in the robot to detect its posture and adopted a simple maneuvering assist control to reduce the above-mentioned issue. In this study, the motion of HORNET was analyzed and a simple control system was designed to realize the maneuvering assist control. It was confirmed that the resistance of HORNET to the crosswind was improved by adding the control system.

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Jean, Jong Hann, Chia Hong Chen, Tyng Bin Huang, and Sheng Hong Tsai. "Development of an Automatic Optical Inspection System and its Application to Defect Examination." Applied Mechanics and Materials 479-480 (December 2013): 636–40. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.636.

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In this paper, we have designed and integrated an automatic optical inspection system, emphasizing on software implementation of the image processing, measurement and analysis utilities. As for the hardware equipments, we design an LED illumination unit and the custom-tailored machinery. By comparing the support functions of several main import brands of the optical inspection machine, we propose an optical inspecting procedure. By using the Windows-based user interface, we implement nine inspecting software tools, namely, the average gray level tool, the thresholding tool, the positioning tool, the edge detection tool, the binary large object (BLOB) tool, the template building tool, the smart matching tool, the inspection sequence tool, and the platform operation tool. All these tools can be used in an inspection with single operation and can also be arranged in a proper sequence of operations to fulfill a complicated inspection procedure. We use several part sample images with defects provided by the supplier to verify our fulfilled system.

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Kim, Seong Kweon, Kyung Ryang Lee, Jae Sang Cha, Kyoung Kun Lee, and Seong Jong Kim. "Implementation of battery inspection system for building energy management system." International Journal of Security and Networks 9, no. 4 (2014): 197. http://dx.doi.org/10.1504/ijsn.2014.066180.

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Ming Lo, Siu. "A building safety inspection system for fire safety issues in existing buildings." Structural Survey 16, no. 4 (December 1998): 209–17. http://dx.doi.org/10.1108/02630809810243220.

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Alfianzi, Dodiek, Ikhwan Syahtaria, Udisubakti Cipto Mulyono, and I. Made Jiwa Astika. "ANALYSIS OF SAFETY SYSTEM RELIABILITY KI HADJAR DEWANTARA MAKO KODICLATAL BUILDING TOWARDS FIRE HAZARDS PREVENTION." JOURNAL ASRO 12, no. 02 (April 19, 2021): 10. http://dx.doi.org/10.37875/asro.v12i02.397.

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Designing a fire prevention inspection system in buildings is very necessary, to determine the level of reliability. The fire prevention management system uses the following criteria: precautionary measures and preventive supervision against fire hazards. The assessment of the system design is carried out by means of a questionnaire for respondents who understand / are experts in fire problems, and the application of the system design uses direct surveys and questionnaires to the building manager. The assessment is carried out at the smallest level. Analysis of the building reliability inspection system in fire prevention using the Analytical Hierarchy Process (AHP) method, the criteria used are: prevention, limitation and extinguishing against fire. The fire prevention management system uses the following criteria: precautionary measures and preventive supervision against fire hazards. The results of the reliability inspection of the Ki Hadjar Dewantara Mako Kodiklatal building in Surabaya with a value of 94.06% indicated that the reliability system was in the "Less Reliable" category for fire hazard prevention. Keywords: Inspection, fire prevention, reliability.

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Ahmed, Mohammed, Markus Eich, and Felix Bernhard. "Design and Control of MIRA: A Lightweight Climbing Robot for Ship Inspection." International Letters of Chemistry, Physics and Astronomy 55 (July 2015): 128–35. http://dx.doi.org/10.18052/www.scipress.com/ilcpa.55.128.

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The inspection of marine vessels is currently per-formed manually. Inspectors use tools (e.g. cameras and devices for non-destructive testing) to detect damaged areas, cracks, and corrosion in large cargo holds, tanks, and other parts of a ship. Due to the size and complex geometry of most ships, ship inspection is time-consuming and expensive. The EU-funded project INCASS develops concepts for a marine inspection robotic assistant system to improve and automate ship inspections. In this paper, we introduce our magnetic wall–climbing robot: Marine Inspection Robotic Assistant (MIRA). This semi-autonomous lightweight system is able to climb a vessels steel frame to deliver on-line visual inspection data. In addition, we describe the design of the robot and its building subsystems as well as its hardware and software components.

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Cho, Hae-Chang, Hyunjin Ju, Jae-Yuel Oh, Kyung Jin Lee, Kyung Won Hahm, and Kang Su Kim. "Estimation of Concrete Carbonation Depth Considering Multiple Influencing Factors on the Deterioration of Durability for Reinforced Concrete Structures." Advances in Materials Science and Engineering 2016 (2016): 1–18. http://dx.doi.org/10.1155/2016/4814609.

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While the durability of concrete structures is greatly influenced by many factors, previous studies typically considered only a single durability deterioration factor. In addition, these studies mostly conducted their experiments inside the laboratory, and it is extremely hard to find any case in which data were obtained from field inspection. Accordingly, this study proposed an Adaptive Neurofuzzy Inference System (ANFIS) algorithm that can estimate the carbonation depth of a reinforced concrete member, in which combined deterioration has been reflected based on the data obtained from field inspections of 9 buildings. The proposed ANFIS algorithm closely estimated the carbonation depths, and it is considered that, with further inspection data, a higher accuracy would be achieved. Thus, it is expected to be used very effectively for durability estimation of a building of which the inspection is performed periodically.

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Najah, Ahmed, Faiz F. Mustafa, and Wisam S. Hacham. "Building a High Accuracy Transfer Learning-Based Quality Inspection System at Low Costs." Al-Khwarizmi Engineering Journal 17, no. 1 (March 1, 2021): 1–12. http://dx.doi.org/10.22153/kej.2021.12.001.

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Products’ quality inspection is an important stage in every production route, in which the quality of the produced goods is estimated and compared with the desired specifications. With traditional inspection, the process rely on manual methods that generates various costs and large time consumption. On the contrary, today’s inspection systems that use modern techniques like computer vision, are more accurate and efficient. However, the amount of work needed to build a computer vision system based on classic techniques is relatively large, due to the issue of manually selecting and extracting features from digital images, which also produces labor costs for the system engineers. In this research, we present an adopted approach based on convolutional neural networks to design a system for quality inspection with high level of accuracy and low cost. The system is designed using transfer learning to transfer layers from a previously trained model and a fully connected neural network to classify the product’s condition into healthy or damaged. Helical gears were used as the inspected object and three cameras with differing resolutions were used to evaluate the system with colored and grayscale images. Experimental results showed high accuracy levels with colored images and even higher accuracies with grayscale images at every resolution, emphasizing the ability to build an inspection system at low costs, ease of construction and automatic extraction of image features.

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Bruce, Lorne. "An Inspector Calls." Ontario History 106, no. 1 (July 30, 2018): 77–99. http://dx.doi.org/10.7202/1050722ar.

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Angus McGill Mowat was an inspirational voice for public library work during the Great Depression. In 1937, after he became Inspector of Public Libraries in the Ontario Department of Education, he helped revive spirits and raise service ambitions in smaller rural libraries. Building on the “modern library” concept popularized after the First World War, he re-energized trustees, librarians, and library workers with hundreds of visits to promote local efforts before 1939. His inspections encompassed the advisement of trustees on management and financial processes; the promotion of librarianship and staff training; the improvement of collections and services for adults and children; the reorganization of functional building space; the formation of county systems; and support for new public school curriculum reading reforms. Although warfare interrupted his work, Mowat’s wide-ranging inspection method brought renewed optimism and laid the groundwork for genuine progress in the provincial public library system after 1945.

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Kryl, Martin, Lukas Danys, Rene Jaros, Radek Martinek, Pavel Kodytek, and Petr Bilik. "Wood Recognition and Quality Imaging Inspection Systems." Journal of Sensors 2020 (September 17, 2020): 1–19. http://dx.doi.org/10.1155/2020/3217126.

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Forestry is an undoubtedly crucial part of today’s industry; thus, automation of certain visual tasks could lead to a significant increase in productivity and reduction of labor costs. Eye fatigue or lack of attention during manual visual inspections can lead to falsely categorized wood, thus leading to major loss of earnings. These mistakes could be eliminated using automated vision inspection systems. This article focuses on the comparison of researched methodologies related to wood type classification and wood defect detection/identification; hence, readers with an intention of building a similar vision-based system have summarized review to build upon.

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Barry, Fetzer. "Automated Robotic Systems for Nondestructive Testing of Aerospace Composite Structures." Materials Evaluation 79, no. 7 (July 1, 2021): 678–86. http://dx.doi.org/10.32548/2021.me-04224.

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Automated robotic systems are becoming prevalent in many aerospace manufacturing applications, such as laser ablation, sanding, drilling, final assembly, and painting. There are significant advantages to using automated robotic systems for inspection purposes as well: versatility, speed, and repeatability, to name a few. This paper explores using an automated robotic system for the nondestructive testing (NDT) of composite parts. It has a focus on phased array ultrasonic testing (PAUT) but highlights modularity principles in the system that are not coupled to a single inspection method. Because of the articulation inherent in multi-axis robots, inspections of contoured structures become straightforward if the system modules are designed correctly. Examples of such modules, and their advantages when interfaced to an automated robotic system, are included in this paper. It is the author’s intent to show how these system modules might maximize robot capabilities for a broad range of aerospace inspections while keeping a simplistic design that is modular, fast, and straightforward to use. When compared to other aerospace manufacturing processes already using automated robotic systems, the use of robots for NDT seems not only prudent but a favorable goal. This paper offers practical building blocks for achieving this goal.

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Qidwai, Uvais, Muhammad Akbar, Muhammad Maqbool, and Mohammed Jahanshahi. "Hierarchical Inspection System Using Visual and MFL Probe Robots." IAES International Journal of Robotics and Automation (IJRA) 7, no. 4 (December 1, 2018): 283. http://dx.doi.org/10.11591/ijra.v7i4.pp283-296.

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<p>Structural Health Monitoring (SHM) represents a critical appurtenance to modern engineering that amalgamates the skills and techniques from various disciplines of engineering and computational science. Modern civil architectures, involving high-rise buildings, complex structural designs, and innovative shapes, on one hand represent the urban development, but at the same time is a challenge from sustainability perspective. In order to ensure the tenability of such structures, advanced SHM procedures need to be developed. The presented work in this paper is an effort on these lines. The wear and tear in the buildings related to weather, as well as other natural disasters, needs to be monitored regularly and systematically in order to prevent any serious structural damage. In current SHM practices, human experts are deployed at various structurally critical places on these buildings to perform specific measurements and analyze them to decide on the structural health condition. This simple approach is becoming more and more complicated as well as perilous for the human personnel involved, due to the modern architecture that involves greater heights, and complex structures. The proposed system utilizes flying and crawling/roving robots for this purpose. The flying robots, first, scan the surface of the building to any height needed, and then the custom-designed algorithms analyze the images from these scans in order to discern the possible defects/anomalies in the structure. Using these defect pointers, the custom-designed rover robot on top of the structure lowers a robotic probe that scans only those areas for substantiating the anomalies and the degree of defects present.</p>

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Kim, Tae-Hyun, Hye-Rin Kim, and Yeong-Jun Cho. "Product Inspection Methodology via Deep Learning: An Overview." Sensors 21, no. 15 (July 25, 2021): 5039. http://dx.doi.org/10.3390/s21155039.

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In this study, we present a framework for product quality inspection based on deep learning techniques. First, we categorize several deep learning models that can be applied to product inspection systems. In addition, we explain the steps for building a deep-learning-based inspection system in detail. Second, we address connection schemes that efficiently link deep learning models to product inspection systems. Finally, we propose an effective method that can maintain and enhance a product inspection system according to improvement goals of the existing product inspection systems. The proposed system is observed to possess good system maintenance and stability owing to the proposed methods. All the proposed methods are integrated into a unified framework and we provide detailed explanations of each proposed method. In order to verify the effectiveness of the proposed system, we compare and analyze the performance of the methods in various test scenarios. We expect that our study will provide useful guidelines to readers who desire to implement deep-learning-based systems for product inspection.

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Wiyanto, Henny. "Application of Soft System Methodology to Visual Assessment Method of Concrete Damage." MEDIA KOMUNIKASI TEKNIK SIPIL 26, no. 1 (July 30, 2020): 52–60. http://dx.doi.org/10.14710/mkts.v26i1.21371.

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Concrete damage on buildings can be interpreted as the presence of a change in the physical state of concrete. Damage can be in the form of change on the concrete surface or loss of concrete quality. To be able to identify the concrete damage condition on a building, inspection and assessment is required. Visual assessment is a method that can be a good first step to identifying the concrete damage condition on a building structure. Visual assessment is limited to concrete surface that can be accessed with visual senses. The goal of the research is to develop the concrete damage assessment method on a building visually that can be accepted by construction industry users in Indonesia with the Soft System Methodology (SSM) approach. Application of the SSM approach in this research uses the Root Definition component, CATWOE analysis, Rich Picture, and Conceptual Model. Result that is obtained from research, is the development concept for a visual method of building damage assessment, based on the seven steps according to SSM. Research results are in the form of a method that can identify and assess concrete damage while determining the concrete damage level on a building visually.

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Sriravindrarajah, Rasiah, and Elizebeth Tran. "Waterproofing practices in Australia for building construction." MATEC Web of Conferences 195 (2018): 01002. http://dx.doi.org/10.1051/matecconf/201819501002.

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Waterproofing is an essential component in building construction to maintain the integrity of buildings with reduced maintenance cost. A comprehensive waterproofing system is an integrated combination of factors, and includes product selection, membrane detail, substrate preparation, design, installation and maintenance. It is designed to work under different environmental conditions, substrates and applications. Proper understanding of the issues related to waterproofing membrane systems is important to minimise the waterproofing failures in both commercial and residential buildings. This paper aims to discuss Standards and Codes; membrane systems and performance, waterproofing practices, design and installation techniques, inspection and testing and quality assurance adopted by the waterproofing industry in Australia.

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Zhou, Shi, and Masoud Gheisari. "Unmanned aerial system applications in construction: a systematic review." Construction Innovation 18, no. 4 (October 1, 2018): 453–68. http://dx.doi.org/10.1108/ci-02-2018-0010.

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PurposeOver the past decade, researchers have used unmanned aerial systems (UASs) in construction industry for various applications from site inspection to safety monitoring or building maintenance. This paper aims to assort academic studies on construction UAS applications, summarize logics behind using UAS in each application and extend understanding of current state of UAS research in the construction setting.Design/methodology/approachThis research follows a systematic literature assessment methodology to summarize the results of 54 research papers over the past ten years and outlines the research trends for applying UASs in construction.FindingsUASs are used in building inspection, damage assessment, site surveying, safety inspection, progress monitoring, building maintenance and other construction applications. Cost saving, time efficiency and improved accessibility are the primary reasons for choosing UAS in construction applications. Rotary-wing UASs are the most common types of UASs being used in construction. Cameras, LiDAR and Kinect are the most common onboard sensors integrated in construction UAS applications. The control styles used are manual, semi-autonomous and autonomous.Originality/valueThis paper contributes to classification of UAS applications in construction research and identification of UAS hardware and sensor types as well as their flying control systems in construction literature.

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TSUESAKI, Juri, Kozo MASADA, and Naoshi KAKITSUBA. "EVALUATION OF QUALITY OF JANITOR SERVICES BASE ON BUILDING INSPECTION SYSTEM." AIJ Journal of Technology and Design 26, no. 64 (October 20, 2020): 1043–48. http://dx.doi.org/10.3130/aijt.26.1043.

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Silvestre, J. Dinis, and J. de Brito. "Inspection and Repair of Ceramic Tiling within a Building Management System." Journal of Materials in Civil Engineering 22, no. 1 (January 2010): 39–48. http://dx.doi.org/10.1061/(asce)0899-1561(2010)22:1(39).

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Kang, Seung-Hyun, and Jong-Min Lee. "Study on Levee Visual Inspection Information System Building Using Mobile Technology." Journal of the Korea Society of Computer and Information 21, no. 6 (June 30, 2016): 71–76. http://dx.doi.org/10.9708/jksci.2016.21.6.071.

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Tatar, Mihai Olimpiu, Adrian Alutei, and Claudiu Cirebea. "Modular Robotic System for Moving Inside of Pipelines - Part 1." Solid State Phenomena 166-167 (September 2010): 403–8. http://dx.doi.org/10.4028/www.scientific.net/ssp.166-167.403.

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In this paper, the authors present an in-pipe modular robotic system for inspection inside pipes with diameters ranged between 140 and 200 mm. The paper describes the components used for building the modules and the actuating systems.

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Pang, Lili, Junxiu Liu, Jim Harkin, George Martin, Malachy McElholm, Aqib Javed, and Liam McDaid. "Case Study—Spiking Neural Network Hardware System for Structural Health Monitoring." Sensors 20, no. 18 (September 8, 2020): 5126. http://dx.doi.org/10.3390/s20185126.

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This case study provides feasibility analysis of adapting Spiking Neural Networks (SNN) based Structural Health Monitoring (SHM) system to explore low-cost solution for inspection of structural health of damaged buildings which survived after natural disaster that is, earthquakes or similar activities. Various techniques are used to detect the structural health status of a building for performance benchmarking, including different feature extraction methods and classification techniques (e.g., SNN, K-means and artificial neural network etc.). The SNN is utilized to process the sensory data generated from full-scale seven-story reinforced concrete building to verify the classification performances. Results show that the proposed SNN hardware has high classification accuracy, reliability, longevity and low hardware area overhead.

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LIN, Yu-Cheng, Jun-Xiong CHANG, and Yu-Chih SU. "DEVELOPING CONSTRUCTION DEFECT MANAGEMENT SYSTEM USING BIM TECHNOLOGY IN QUALITY INSPECTION." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 22, no. 7 (July 12, 2016): 903–14. http://dx.doi.org/10.3846/13923730.2014.928362.

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Defect management (DM) for quality inspection (QI) is a major strategy employed by general contractors to enhance construction management of building projects. However, there are significant issues in construction DM in standard practice that affects quality inspection, including protracted procedures, data entry redundancies, confusion, and inefficient information management. Recognition of these construction DM issues, this paper proposes a new and practical approach that applies Building Information Modeling (BIM) technology to quality inspection and defect management. Specifically, BIM digitally contains precise geometry and relevant data needed to support building structures to describe 3D object-oriented CAD. Using BIM technology, this study proposes a BIM-based Defect Management (BIMDM) system by on-site quality managers during the construction phase. The intended approach integrates web and BIM technologies in the BIMDM system to illustrate and analyze defect information at the jobsite in real time. The anticipated result is the effectively managed status and results of the corrective works performed. The BIMDM system is applied in a selected case study of a building project in Taiwan to verify the proposed approach and demonstrate the effectiveness of defect management practice. Utilizing the BIMDM system, on-site quality managers are better able to track and manage defects with BIM models through accurate records and photos. The combined results of the study demonstrate that a BIMDM-like system can be an effective visual defect management platform when integrating BIM and web technologies. The advantage of the BIMDM system lies not only in improving defect management efficiency for on-site quality engineers and managers, but also in facilitating easy quality inspection while identifying and communicating in the 3D BIM environment. As such, authors expect that effective use of the proposed BIMDM would significantly assist on-site quality engineers and managers to systematically handle defect management work using BIM technologies in future construction projects.

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Pereira, Clara, Jorge de Brito, and José D. Silvestre. "Harmonised Classification of the Causes of Defects in a Global Inspection System: Proposed Methodology and Analysis of Fieldwork Data." Sustainability 12, no. 14 (July 10, 2020): 5564. http://dx.doi.org/10.3390/su12145564.

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This research results from the development of a global inspection system based on previous studies about individual expert inspection systems for 12 types of elements/materials of the envelopes of current buildings. The research focuses on the rational harmonisation of the causes of defects in a global classification list, established from 12 individual lists. The process considers predetermined criteria, including guidelines for merging, splitting and combining causes to reach a comprehensive and simple list. The frequency of the prescription of causes of defects is analysed and the causes “C-D12 Dampening of the cladding system” in painted façades and “C-B7 Use of unprescribed, inadequate, incompatible, low-quality, non-certified and/or non-approved materials” in natural stone claddings stand out. Additionally, when analysing the relationship of causes with defects, some causes are highlighted because they are considered direct causes of defects in a broad range of building elements/materials, namely: “C-C9 Accidental collisions with the cladding”, “C-C7 Intentional collisions/vandalism”, “C-D2 Excessive, insufficient or differentiated solar radiation”, “C-D8 Presence of rainwater or snow” and “C-D12 Dampening of the cladding system”. The proposed list of causes successfully gathers causal knowledge on the pathology of the non-structural building envelope in a single component, homogenising the vocabulary used for several building elements/materials.

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Zhan, Jian, Xin Janet Ge, Shoudong Huang, Liang Zhao, Johnny Kwok Wai Wong, and Sean XiangJian He. "Improvement of the inspection-repair process with building information modelling and image classification." Facilities 37, no. 7/8 (May 7, 2019): 395–414. http://dx.doi.org/10.1108/f-01-2018-0005.

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Purpose Automated technologies have been applied to facility management (FM) practices to address labour demands of, and time consumed by, inputting and processing manual data. Less attention has been focussed on automation of visual information, such as images, when improving timely maintenance decisions. This study aims to develop image classification algorithms to improve information flow in the inspection-repair process through building information modelling (BIM). Design/methodology/approach To improve and automate the inspection-repair process, image classification algorithms were used to connect images with a corresponding image database in a BIM knowledge repository. Quick response (QR) code decoding and Bag of Words were chosen to classify images in the system. Graphical user interfaces (GUIs) were developed to facilitate activity collaboration and communication. A pilot case study in an inspection-repair process was applied to demonstrate the applications of this system. Findings The system developed in this study associates the inspection-repair process with a digital three-dimensional (3D) model, GUIs, a BIM knowledge repository and image classification algorithms. By implementing the proposed application in a case study, the authors found that improvement of the inspection-repair process and automated image classification with a BIM knowledge repository (such as the one developed in this study) can enhance FM practices by increasing productivity and reducing time and costs associated with ecision-making. Originality/value This study introduces an innovative approach that applies image classification and leverages a BIM knowledge repository to enhance the inspection-repair process in FM practice. The system designed provides automated image-classifying data from a smart phone, eliminates time required to input image data manually and improves communication and collaboration between FM personnel for maintenance in the decision-making process.

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TSUJIMOTO, Makoto, Takahiro KAZATO, Hideyo YOSHIDA, Yuta KODAMA, and Moyu SEIKE. "ANALYSIS OF THE RELIABILITY OF BUILDING EQUIPMENT USING PERIODIC INSPECTION REPORTING SYSTEM." AIJ Journal of Technology and Design 24, no. 56 (2018): 217–22. http://dx.doi.org/10.3130/aijt.24.217.

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Ju Kang, Soon, and Yong Rae Kwon. "Hybrid knowledge-based architecture for building an intelligent nondestructive signal inspection system." Knowledge-Based Systems 8, no. 1 (February 1995): 21–31. http://dx.doi.org/10.1016/0950-7051(94)00297-v.

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Park, Hayong, and Waonho Yi. "Proposed Improvements to the Safety Inspection System: An Analysis of the Current Status of Building Disaster Accidents and Safety Inspection Systems." Journal of the Korean Society of Hazard Mitigation 19, no. 5 (October 31, 2019): 11–21. http://dx.doi.org/10.9798/kosham.2019.19.5.11.

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Xiao, Peng, Li Xin Yu, Shao Hong Chen, Hai Peng Wang, and Bin Hai Wang. "Design of a Laser Navigation System for Substation Inspection Robot Based on Map Matching." Applied Mechanics and Materials 713-715 (January 2015): 711–14. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.711.

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Aimed at the deficiency of the magnetic guide and RFID parking system used by substation inspection robot now, a laser navigation system is designed, and the system structure, the method of map building and positioning are all introduced. The system performance is tested in a 500kV substation, and the result show that the repetitive precision of navigation system is precise enough to help the robot fulfill inspection tasks.

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Malakhova, Anna. "Estimation of cracking of reinforced concrete load-bearing construction structures at the stage of their technical inspection." MATEC Web of Conferences 251 (2018): 02040. http://dx.doi.org/10.1051/matecconf/201825102040.

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The article describes the process and causes of cracking of bearing reinforced concrete structures, revealed during the inspection of the technical condition of structural elements of buildings at the stage of their erection, at the stage of suspended construction and in the operational stage. The reasons for the appearance of cracks in reinforced concrete structures under force loads and climatic influences are analyzed. Possible reasons for the appearance of cracks in a monolithic reinforced concrete beam ceiling of a multi-storey building of a column structural system and in monolithic walls of an underground cylindrical reservoir, identified by the author of the article when inspecting the technical condition of these structures, are given. The relationship between the appearance of destructive cracks and the design errors of a monolithic reinforced concrete beam ceiling is shown. The complex nature of the causes of the appearance of cracks in the monolithic walls of the underground reservoir is revealed. The article describes the capabilities of the LIRA-CAD software package for determining the pattern and parameters of fracture-formation of reinforced concrete structures for subsequent comparison with the results of an inspection of the technical condition of structural elements of buildings and structures.

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Afanasiev, Georgij. "Analysis of the organization of operation of engineering systems of residential buildings based on a queuing model with interruptions and close-downs." Construction and Architecture 8, no. 4 (October 15, 2020): 77–82. http://dx.doi.org/10.29039/2308-0191-2020-8-4-77-82.

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In resent years has been increasing interest for application of probabilistic methods, in particular queueing theory for estimation of activities of managing companies of residential buildings. Maintenance of residential buildings is a set of measures that ensure the highest reliability of all elements and systems of a building. The main element of the technical operation of residential buildings is a system of scheduled prophylactic inspections and repairs. However even with its rational organization, there is always a positive probability of failure of building elements, which depends not only on the aging factors of the structure. The goal of the managing company is, on the one hand, to prevent the formation of a too long queue of emergency calls, and on the other, to complete all planned prophylactic maintenance work. As a mathematical model we consider a single-server queue with vacations and close-down periods. The service team can start a scheduled preventive repair only when all request for sudden mailfunctions are satisfied. This period we call vacation. There is a close-down period before vacation. This time period is required for preparation and organization of the prophylactic and inspection work. Based on the methods of the queuing theory, the system’s characteristics that determine the quality of its work, as well as the boundaries of the change of parameters at which the system copes with the work from the standpoint of a particular criterion are defined.

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Delgado, A., J. de Brito, and J. D. Silvestre. "Inspection and Diagnosis System for Wood Flooring." Journal of Performance of Constructed Facilities 27, no. 5 (October 2013): 564–74. http://dx.doi.org/10.1061/(asce)cf.1943-5509.0000342.

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Liu, Fei, Torsten Jonsson, and Stefan Seipel. "Evaluation of Augmented Reality-Based Building Diagnostics Using Third Person Perspective." ISPRS International Journal of Geo-Information 9, no. 1 (January 16, 2020): 53. http://dx.doi.org/10.3390/ijgi9010053.

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Comprehensive user evaluations of outdoor augmented reality (AR) applications in the architecture, engineering, construction and facilities management (AEC/FM) industry are rarely reported in the literature. This paper presents an AR prototype system for infrared thermographic façade inspection and its evaluation. The system employs markerless tracking based on image registration using natural features and a third person perspective (TPP) augmented view displayed on a hand-held smart device. We focus on evaluating the system in user experiments with the task of designating positions of heat spots on an actual façade as if acquired through thermographic inspection. User and system performance were both assessed with respect to target designation errors. The main findings of this study show that positioning accuracy using this system is adequate for objects of the size of one decimeter. After ruling out the system inherent errors, which mainly stem from our application-specific image registration procedure, we find that errors due to a human’s limited visual-motoric and cognitive performance, which have a more general implication for using TPP AR for target designation, are only a few centimeters.

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Silvestre, J. D., and J. de Brito. "Ceramic tiling in building façades: Inspection and pathological characterization using an expert system." Construction and Building Materials 25, no. 4 (April 2011): 1560–71. http://dx.doi.org/10.1016/j.conbuildmat.2010.09.039.

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Han, Ling Yan, Guang He Cheng, Xiao Shi Zheng, Rang Yong Zhang, Feng Qi Hao, Lu Yue Han, Xiang Sun, et al. "A System of Energy Consumption Based on Infrared Images in Building and Environmental Detection." Advanced Materials Research 1092-1093 (March 2015): 545–49. http://dx.doi.org/10.4028/www.scientific.net/amr.1092-1093.545.

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This paper shows a multifunctional and real-time control system of environment and building. It includes wireless data acquisition terminal, wireless ad-hot network module, inspection device, data acquisition gateway, software of energy consumption analysis, system of infrared thermal imaging analysis.

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Ham, S., Y. Oh, K. Choi, and I. Lee. "SEMANTIC SEGMENTATION AND UNREGISTERED BUILDING DETECTION FROM UAV IMAGES USING A DECONVOLUTIONAL NETWORK." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 419–24. http://dx.doi.org/10.5194/isprs-archives-xlii-2-419-2018.

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Detecting unregistered buildings from aerial images is an important task for urban management such as inspection of illegal buildings in green belt or update of GIS database. Moreover, the data acquisition platform of photogrammetry is evolving from manned aircraft to UAVs (Unmanned Aerial Vehicles). However, it is very costly and time-consuming to detect unregistered buildings from UAV images since the interpretation of aerial images still relies on manual efforts. To overcome this problem, we propose a system which automatically detects unregistered buildings from UAV images based on deep learning methods. Specifically, we train a deconvolutional network with publicly opened geospatial data, semantically segment a given UAV image into a building probability map and compare the building map with existing GIS data. Through this procedure, we could detect unregistered buildings from UAV images automatically and efficiently. We expect that the proposed system can be applied for various urban management tasks such as monitoring illegal buildings or illegal land-use change.

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Buzalo, Nina, Maksim Klimenko, and Roman Ponomarev. "ANALYSIS OF CHARACTERISTIC DAMAGES OF BEARING AND FENCING STRUCTURES IDENTIFIED DURING INSPECTION OF SCHOOL BUILDINGS IN THE ROSTOV REGION." Construction and Architecture 9, no. 2 (June 2, 2021): 1–5. http://dx.doi.org/10.29039/2308-0191-2021-9-2-1-5.

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The article considers and analyzes the parameters of physical wear and tear of building structures of school buildings, built over the past 50-70 years. The main content of the research is the analysis of materials from surveys of municipal institutions of secondary education in the Rostov region. The paper describes the most common structural schemes of buildings and features of supporting structures. The characteristic deformations and damages of the bearing and enclosing building structures of school buildings are considered and methods for their elimination are proposed. The significant social role of the safety of school buildings and their technical condition for the secondary education system and, as a consequence, the stability of society is noted.

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Wang, Ying, Rong Shi, and Wen Juan Lu. "Flexible Packaging Liquid Milk Quality Testing Instrument Based on Virtual Instrument." Applied Mechanics and Materials 229-231 (November 2012): 1300–1303. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1300.

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Base on the concept of virtual instrument, an inspection system for quality of flexible packaging UHT liquid milk was developed, which do not open the package of UHT. The system has functions building a product prescription, quality inspection, forming a experiment report. A Personalized instrument can de designed according to user requirements. Experimental results show that compared with conventional method the non-destructive detector has a highly precision .The results are consistent with the test of titratable acidity, which provide new avenues for non-destructive quality inspection of soft drinks.

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Hugenschmidt, J. "Concrete bridge inspection with a mobile GPR system." Construction and Building Materials 16, no. 3 (April 2002): 147–54. http://dx.doi.org/10.1016/s0950-0618(02)00015-6.

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Journal articles on the topic 'Building Inspection System'

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