Meteorological disaster plan intelligent configuration method and system based on disaster census result

By receiving and analyzing disaster information from multiple data sources, building a material allocation environment, and generating rescue dispatch plans, the problem of insufficient timeliness and targeted meteorological disaster plans in the existing technology is solved, and the efficiency and accuracy of emergency response are improved.

CN119721678AActive Publication Date: 2025-03-28BEIJING TEN RING TECH CO LTD
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Patent Information

Application Number
CN202411702524.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-26
Publication Date
2025-03-28
Estimated Expiration
2044-11-26

AI Technical Summary

Technical Problem

The existing meteorological disaster plans are inadequate in terms of timeliness and targetedness, making it difficult to quickly generate effective emergency response plans after disasters, resulting in lag in rescue operations and waste of resources.

Method used

By receiving and analyzing disaster data from sensor networks, meteorological monitoring stations and manual reports, obtaining disaster basic parameters and disaster-affected points status requirements data, and combining reinforcement data, a material allocation environment is built to generate a rescue dispatch plan.

Benefits of technology

It improves the timeliness and pertinence of emergency responses, ensures that rescue resources can reach demand points directly according to priority and urgency, dynamically adjust rescue operations, and improve the efficiency and accuracy of rescue operations.

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Abstract

The invention discloses a meteorological disaster plan intelligent configuration method and system based on a disaster census result, and relates to the field of meteorological disaster plan intelligentization, and the method comprises the following steps: receiving and analyzing a disaster data set, and obtaining a disaster basic parameter set; receiving the disaster condition data set, and analyzing to obtain a disaster point state demand data set and a disaster assessment result; a set of reinforcement data is received. The system mainly has the following beneficial effects: by receiving disaster data from a sensor network, a meteorological monitoring station and an artificial report and analyzing disaster situation data, the specific position, the damage type and the damage degree of a disaster site and information such as required relief supplies, personnel and medical equipment are mastered in detail; according to the method, disaster basic parameters and disaster-affected point state requirements are rapidly extracted, accurate data support is provided for subsequent material allocation, rescue path planning and rescue task distribution, and the timeliness and pertinence of emergency response are improved.
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