Fire-fighting material system based on big data mining

Abstract

The invention discloses a fire-fighting material system based on big data mining. The fire-fighting material system based on big data mining comprises data collection equipment which is used for collecting basic data of fire-fighting materials, a data processing center which is used for processing the data of the fire-fighting materials, and a wireless communication network which is used for connecting the data collection equipment with the data processing center. The system is based on a big data mining technology. Fire-fighting material equipment management is digitalized, visualized and intelligent, real-time monitoring and analysis are performed on human, vehicle and object states and equipment data in each period before, in the middle and after fire rescue. Different fire-fighting material matching models are established for a complex and changeable fire-fighting environment, so that refined management of fire-fighting material logistics is realized, the guarantee level of rescuematerial allocation during battle is improved, the commanding and dispatching capability of fire-fighting materials is improved, the rescue efficiency of fire-fighting operation is improved, and morelives and properties are saved.

Description

technical field [0001] The present invention relates to the field of intelligentization of big data information, mainly to the field of intelligent fire-fighting supplies and equipment, specifically a fire-fighting supplies system based on big data mining. Background technique [0002] The situation faced by my country's firefighting work is becoming more and more complex. The diversity of disaster accident types and the complexity of the disaster site environment have posed severe challenges to firefighting work. As an important part of firefighting situation support, firefighting equipment management is related to The efficiency of rescue operations is even more related to the safety of firefighters and soldiers. At present, the management methods of firefighting equipment are relatively backward, and most of them are still based on manual statistics, manual records, and paper archives, which seriously affects the efficiency of equipment management and deployment, and is no...

AI Technical Summary

Problems solved by technology

Migrate the original manual operation form to an electronic, networked, and process-based office platform to avoid errors and omissions that often occur in the manual operation mode, but the function is single, and only manual statistics, manual records, Compared with the manual operation mode in the past, the digitalization of paper archives only reduces the probability of errors and omissions, and does not maximize the functions of the digital platform. However, it can realize the refined management of fire-fighting supplies and logistics, and improve the deployment of rescue supplies during combat. there are still a lot of deficiencies

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