Regional high temperature heat damage monitoring and evaluation method and system based on clustering processing

Abstract

The application discloses a regional high-temperature heat disaster monitoring and evaluation method and system based on clustering processing, and the method comprises data acquisition, heat disaster correlation domain construction, heat disaster real distance calculation, heat disaster core area strength calculation, heat disaster core automatic identification, heat disaster area division and regional high-temperature heat disaster monitoring and evaluation. The application belongs to the field of data processing, and particularly relates to a regional high-temperature heat disaster monitoring and evaluation method and system based on clustering processing. In the scheme, heat disaster correlation domain construction is performed through heat field mutual influence iteration, and the main body and the edge are accurately distinguished. The grid topology network is constructed, and the surface transmittance coefficient is introduced to perform heat disaster real distance calculation, so that the actual heat disaster propagation is fitted. The heat disaster strength of each grid point is calculated, and the high-temperature heat disaster monitoring and evaluation precision is improved. Based on the identified heat disaster core, the similarity of the sub-areas is quantified, and the regional heat disaster sub-areas are adaptively generated, so that the spatial distribution structure of the disaster is truly reflected. Furthermore, the final high-temperature heat disaster monitoring and evaluation effect is improved.

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