Cluster-Based Detection Method of Urban Infrastructure Emergencies

Abstract

The invention discloses a cluster-based detection method for urban infrastructure emergencies. Firstly, calls from citizens reflecting urban infrastructure problems are received and recorded in a work order database; after the database is screened, Chinese word segmentation technology is used to Extract semantic keywords from the selected work orders, organize the causal relationship between semantic keywords, and then extract the address keywords of the work orders; perform semantic clustering on work orders; perform spatial clustering on each cluster on the semantic level class; do time clustering for each cluster on the spatial level, so as to obtain the clusters on the time level, and identify the clusters on the time level as urban infrastructure emergencies, and use the root node of urban infrastructure emergencies The visual design scheme of the company shows the distribution of these urban infrastructure emergencies on the map, thereby detecting urban infrastructure emergencies, allowing users to make faster and more informed decisions to solve urban infrastructure problems.

Description

technical field [0001] The invention relates to a clustering algorithm considering three dimensions of time, space and semantics to detect emergencies from urban infrastructure demands and support decision-making. Background technique [0002] Now, the development of urban infrastructure is very important for a country or people. More and more managers are paying attention to the development of urban infrastructure. In this regard, people pay the most attention to the aspects of water supply, electricity, gas, drainage, and transportation in daily life. People in the north also pay attention to the issue of heating. The development and management of these industries are closely related to people's living conditions and the development and operation of cities. In different countries and different cities, various city management service systems or institutions have begun to emerge, such as the 311 system in the United States, the 101 system in the United Kingdom, and the 123...

AI Technical Summary

Problems solved by technology

Clustering has been widely used as a data mining method, but most clustering algorithms only deal with time or space, and there are also some specialized text clustering algorithms, and few clusters that simultaneously time, space and semantics

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