In the face of the huge number of pictures of electrical UAV patrol electrical equipment, the efficiency of human eye recognition is low, and it is impossible to quickly locate the high temperature defects of electrical equipment. Therefore, this paper proposes a screening method for high temperature defect images of electrical equipment. Firstly, the target data set is constructed, and the target sample is enhanced for the problem of unbalanced target samples. Then, the network training of improved YOLOv5 is completed, and compared with YOLOv5, YOLOv4 and other methods. The experimental results show that the proposed method can effectively improve the detection ability of the network to the target, and realize the recognition of electrical high temperature defects in the case of too many infrared interference factors.
To solve the problems of a large number of parameters, low detection accuracy, slow detection speed of human flow target detection model, this paper proposes a YOLOv5 human flow target detection model based on GhostNetv2. The convolution in the first layer of CBS is retained to replace the remaining convolutions with Ghost Conv, and the C3Ghostv2 module is constructed to replace the original CSP structure, reducing the number of parameters, reducing the calculation cost and improving the calculation speed. Finally, the Deep-Sort algorithm tracks and realizes real-time statistics of people flow. The experimental results indicate that the accuracy of the improved YOLOv5 model is 2.4 percentage points higher than that of the original algorithm, the parameter quantity is compressed by 28 %, and the detection speed has also increased.
KEYWORDS: 3D modeling, Visual process modeling, Visualization, Data modeling, Geographic information systems, Cesium, Systems modeling, Process modeling, Matrices, Binary data
Building Information Model ( BIM ) can describe the information of buildings finely and professionally, while Geographic Information System ( GIS ) describes the macro three-dimensional scene. Integrating BIM and GIS, two complementary fields, has gradually become a research trend in recent years. In this paper, the BIM model IFC format source file is exported, the helpful information in the source file is extracted, the file is lightweight, and the file is converted into 3DTiles format. Finally, the BIM model is converted into a WebGIS model based on the Cesium engine to achieve better visualization.
KEYWORDS: Data modeling, Buildings, Safety, Computer simulations, Carbon monoxide, Raster graphics, Visibility, Detection and tracking algorithms, 3D modeling, Temperature metrology
Aiming at the safety and efficiency of evacuation in fire environment, a 3d dynamic evacuation path planing method based on BIM techmnology and improved ant colony algorithm was proposed. Using BIM technology to build a parameterized model, as well as using fire dynamics software to simulate the model of the fire scene, and re-planning the evacuation path To solve the problem of insuficent inial pheromone of ant colony agorithm, the heuristic function was improved and the end point expectation was introduced.The experimental results show that this method can effectively improve the safety, ameliorate the initial path search efficiency of ant colony algorithmn,optimize the path length and make the fire evacuation path more intuitve,realize the three-dimensional dynamic evacuation path guidance of buildings, and ensure the safety of personnel.
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