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Abstract
A method for 3D monitoring over landslide geological disaster based on BIM is proposed. Firstly, the 3D geological model of the landslide is built by using CATIA software, and the 3D spatial point set and topological relation of the model are stored in the database. Then, the change of the monitoring data and the result of the finite element calculation are fed back to the model database on the basis of cloud computing framework. By the real time data iteration of geometric model database, incremental data processing and model reconstruction, the geological disasters of BIM model dynamic feedback mechanism is established, and the dynamic change and coordination of 3D landslide model is achieved.
... From the aspect of mudslides prevention, Chang et al. [175] proposed the BIM-based landslide monitoring and prevention model by integrating CATIA (computer-aided three-dimensional interactive application) application. Through this mudslide prevention method, the dynamically coordinated landslide simulation model can be generated by collecting and analyzing the mountains' 3D spatial point sets and topological relationships to predict the probability of landslide occurrence and the damage caused by the rural settlements [175]. ...
... From the aspect of mudslides prevention, Chang et al. [175] proposed the BIM-based landslide monitoring and prevention model by integrating CATIA (computer-aided three-dimensional interactive application) application. Through this mudslide prevention method, the dynamically coordinated landslide simulation model can be generated by collecting and analyzing the mountains' 3D spatial point sets and topological relationships to predict the probability of landslide occurrence and the damage caused by the rural settlements [175]. Furthermore, cyber-physical systems (CPS) can also provide significant contributions to BIM-based disaster prevention. ...
... From the perspective of 3D modeling, it requires knowledge functions to provide the building structure information, layout information, surrounding conditions and the necessary knowledge assistance in the model establishment process [30,51,[93][94][95][96]98,102,104,[106][107][108]132,133,[239][240][241][242]. This knowledge can be retrieved either by importing files, drawings, manually inputted data or through the integration of BIM with third-party devices and software (such as GIS, IoT, sensors, laser scanning, satellite photography, CATIA, Smart city, and so on) [94,98,99,[102][103][104][105][106][107][108]112,113,144,175]. Based on the research results in Section 3, it can be concluded that efficiency optimization and cost reduction are not mutually exclusive. ...
With rural revitalization being established as the national policy in China, the environmental quality and residential comfort of rural settlements has received widespread attention from the whole society in China. However, due to the over-exploitation of resources and the uneven development between urban and rural in China, the environmental conditions and residential experience in rural settlements in China are still relatively backward. To prompt the environmental quality and residential comfort of rural settlements in China, it is necessary to optimize the planning and design of rural settlements in China. As a multi-function method, Building Information Modeling (BIM) can significantly contribute to the planning and design of rural settlements in China. To optimize the environmental quality and residential experience in rural settlements in China, this study is developed to perform a systematic literature review of the BIM capabilities in the design and planning phase of rural settlements in China. To achieve this aim, the PRISMA protocol was used to perform this systematic review. The review and discussion of this study were conducted between June 2022 and September 2022. In this study, Web of Science (WoS) and Scopus were adopted as the main databases, and 189 articles were reviewed. Through this systematic review, it can be identified that BIM capabilities have significant advantages in the following aspects of the design and planning of rural settlements in China: Data storage and management; 3D modeling and visualization; Disaster prevention and environmental analysis; Cost estimation and optimization. Furthermore, through the discussion and analysis of research results, it can be concluded that BIM capabilities can perform their benefits in the rural settlements’ design and planning through their following characteristics: knowledge management, simulation, and modeling. Based on the research results, it can be identified that knowledge management capabilities in BIM can effectively provide information support and knowledge assistance throughout the design and planning phase of rural settlements in China. BIM’s simulation and modeling capabilities can simulate and demonstrate the rural environment and their internal structures in rural settlements’ design and planning phase to achieve their environmental optimization, residential comfort improvement, clash detection, disaster prevention, and expenditure reduction. Moreover, the challenge and future directions of BIM capabilities in the design and planning phase of rural settlements in China are discussed and analyzed. This study can effectively promote and optimize the BIM utilization in the design and planning phase of rural settlements in China, to better enhance their environmental quality and residential experience.
... ey access the early warning model service in WebGIS to realize disaster early warning [4]. Zhang et al. [5] provided a three-D monitoring model of geological disasters such as landslide based on BIM. ey used the real-time data iteration, incremental processing, and modeling reconstruction of geometric modeling database to form the BIM modeling dynamic response mechanism of geological hazards. ...
... ey also carried out the dynamic change and adjustment of 3D landslide modeling [5]. Huang et al. [6] chose nine kinds of risk factors, such as geomorphology, geology, natural calamity, weather and hydrology, and human life. ...
Mining excavation is often the main cause of geological disasters in people’s construction activities. The geological disasters have the characteristics of large destruction, wide range of harm, and large loss. In particular, the collapse and slide geological disasters caused by underground mining are particularly prominent, and they have triggered a number of major natural disaster events. Therefore, it is particularly important to assess the exposure to geological hazards in mines. The purpose of this article is to study and analyze the assessment and management of the risk of geological hazards in mines based on multisensor data integration. This paper first introduces the process of multisource information fusion, and in the process of information fusion, the sensor needs to collect signals first, then preprocesses the signals provided by the sensor, and then analyzes the fusion process of D-S evidence theory algorithm and BP neural network algorithm in multisensor. Finally, the deformers in the study area are investigated by multisensor data integration techniques, the deformation and damage features of the deformers in the study area are evaluated, and the risk assessment and vulnerability evaluation of the key slopes are carried out. The experimental results of this paper show that according to the statistics of the distribution of slope disaster points, the geological disasters are mainly concentrated in 10–25°, a total of 361, accounting for 58.1% of the total disaster points. From the point density distribution, geological disasters are most concentrated at 20–30°, and the point density is 35 places/100 km2. The results show that in areas with large slope and height difference, it is easy to form air surface, deformation, and damage, resulting in geological disasters.
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