Optimization of Electronic Data Investigation Mode Based on Intelligent Perception and Positioning Technology
Xin Zhang, Chao Cheng · Scientific Programming · 2022
The exploration reported here is aimed at obtaining the geographic information and ecological information of the user’s specific location to understand the real-time needs of the user and provide users with accurate and timely services. Firstly, intelligent sensing and positioning technology is introduced under the background of big data. Then, the Geographic Information Systems (GIS) and Location-Based Service (LBS) technology are sketched out. Besides, an environmental intelligent perception and positioning model is proposed based on the GIS technology, LBS technology, and visible light propagation model. Finally, the proposed model is verified by experiments. The research results demonstrate that the environmental intelligent perception and positioning model can improve the positioning ability and efficiency of the users’ location and significantly enhance the accuracy of the location of the target. The positioning accuracy of the positioning system based on GIS combined with LBS reaches more than 80%, meeting the positioning requirements in daily life. Therefore, the research reported here provides a new perspective and new method for intelligent perception, makes a guarantee for further improving the efficiency of user work and life, and sets an example for future research.