A guiding system and method for electric power civil engineering foundation acceptance based on the Internet of Things

Abstract

The invention belongs to the technical field of Internet of Things and discloses a guiding system and method for electric power civil engineering foundation acceptance based on the Internet of Things.The geographic and meteorological information is collected by using a data layer, and a disaster analysis model and historical disaster information are inquired and sent to a basic service layer, sothat the meteorological monitoring and disaster analysis are completed, the information is automatically pushed. A business system layer monitors weather in real time, analyzes the disaster and givesan early warning, so that a user can check the meteorological disaster information at any time. The system is maintained by professionals through the Internet in real time, and the stability of the system is ensured. According to the present invention, the structure is reasonable, and the meteorological disasters can be effectively prevented.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things, and in particular relates to a guidance system and method for acceptance of electric power civil engineering foundations based on the Internet of Things. Background technique [0002] At present, the existing technology commonly used in the industry is as follows: natural disasters in some areas have been formed under the long-term effects of two factors, climate and geological structure, with many types of disasters, high frequency of occurrence, high activity intensity, and wide distribution. The level of economic development and social harmony and progress. However, the unique complex geographical environment has resulted in low accuracy of geological disaster investigation, narrow coverage of monitoring and early warning, and large blank areas. In the face of particularly serious disasters, such as earthquakes, heavy rains, floods, mudslides and other high-hazardous geological...

AI Technical Summary

Problems solved by technology

[0005] (1) The existing guidance system for the acceptance of electric power civil engineering foundation cannot achieve real-time and effective disaster warning

[0006] (2) In the process of classifying and storing text data in the prior art, the traditional classification algorithm ignores semantic analysis in classification training, which reduces the good classification performance in spam text filtering

[0007] (3) In the prior art, traditional algorithms are used to perform full-text search based on user-input search statements, which reduces time complexity, efficiency and precision, and reduces application performance

[0008] (4) In the process of matching and classifying using existing word segmentation algorithms in the prior art, the number of comparisons cannot be reduced as much as possible in the matching process, which reduces the efficiency of word segmentation

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