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29 April 2022 Design of visual management system for underground cable pipeline based on GIS
Zhe Song, Min Wang
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Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 122471G (2022) https://doi.org/10.1117/12.2636804
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China
Abstract
The conventional underground cable pipeline visual management system has problems such as too small signal coverage, resulting in too long system response time. A visual management system for underground cable pipeline based on GIS is designed. The Visual DSP++ environment linker is utilized to access source files. And then the characteristics of underground cable piping is extracted. The temperature control equation of heat source area is calculated and the signal coverage by GIS is adjusted. Through reading the layer vector data and different laying legend, different laying modes of cables are displayed. Finally, the visual management function of system software is designed. The experiments show that the average response time of the underground cable pipeline visual management system in this paper is 5.475s, 8.027s and 7.938s, respectively. Compared with the other two types of underground cable pipeline visual management systems, it takes less time, which proves that the underground cable pipeline visual management system integrated with GIS technology is more reliable.
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Zhe Song and Min Wang "Design of visual management system for underground cable pipeline based on GIS", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 122471G (29 April 2022); https://doi.org/10.1117/12.2636804
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KEYWORDS
Visualization
Geographic information systems
Digital signal processing
Field programmable gate arrays
3D modeling
Data storage
Visual process modeling
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