Intelligent flood prevention on duty management method based on neural network algorithm

Abstract

The invention provides an intelligent flood prevention on duty management method based on a neural network algorithm. The goal of performing on duty operation, control and management by simulating the concept of flood prevention on duty personnel is achieved. When the on duty work starts, information support is provided for human thinking simulation by intelligently sensing the flood condition information, the early warning information, the network public sentiment, the disaster condition information and the personnel state; then, through an intelligent thinking sub system, the goals of intelligent analysis of handled events or events to be handled, flood prevention situation analysis, government opinion cognition, emergency response and work deployment on the basis of the neural network algorithm are realized; after the human brain thinking is simulated, the intelligent operation can also be performed, and the operation includes affair routing inspection, report generation, early warning response, information issuing and on duty handing-over. The method provided by the invention can assist flood prevention personnel to start the work in the flood period; the problems of complicated flood prevention on duty affairs and insufficient personnel are solved; the flood prevention work efficiency can be improved; the in-time high-efficiency intelligent and scientific handling of the flood prevention affairs can be guaranteed.

Description

technical field [0001] The invention belongs to the field of intelligent flood control, and in particular relates to an intelligent flood control duty management system based on a neural network algorithm. Background technique [0002] Being on duty during the flood season is the responsibility and obligation of water conservancy cadres and workers. Through being on duty, flood control personnel can accurately and timely grasp the water regime, rain and disaster situation, and ensure the orderly progress of all flood control and flood fighting work during the flood season. The traditional flood season duty is mainly through the flood control personnel to make detailed and clear records on duty, including all information such as fax, telephone, telegram, flood report, etc. When extreme weather comes, sometimes it is necessary to be on duty 24 hours a day in the duty room, because extreme weather may cause major disasters, so the on-duty affairs are more cumbersome, and the nu...

AI Technical Summary

Problems solved by technology

[0023] 1. The existing conventional on-duty management system is mainly data integration, content query, information display, information editing, information release, etc., covering the work content of flood control work on duty, including flood monitoring, situation reporting, and order issuance. When the information system appears When a fault occurs, because it is impossible to know which link has the problem in time, such as the actual situation of the data reported, the transmission status of the command, etc., if the problem cannot be found in time, it may be thought that the system is working normally. Mistakes in rescue deployment may result in accidents;

[0024] 2. The existing conventional on-duty management system cannot intelligently judge the status of on-duty affairs and the measures that should be taken. Manual operations are required to complete the on-duty transaction processing process. Therefore, compared with the traditional on-duty methods in the past, the on-duty management platform can improve work efficiency. , but it still needs to rely on the interactive use of flood control personnel on duty

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