Method for detecting urban infrastructure emergencies based on clusters

Abstract

The invention discloses a method for detecting urban infrastructure emergencies based on clusters. The method includes the steps that firstly, calls of citizens for reflecting urban infrastructure problems are answered and recorded in a work order database; after the database is screened, semantic keywords are extracted for screened-out work orders through the Chinese word segmentation technology, the causal relationships between the semantic keywords are sorted, and then address keywords of the work orders are extracted; semantic clustering is conducted on the work orders; spatial clustering is conducted on each cluster on the semantic level; time clustering is conducted on each cluster on the spatial level, accordingly clusters on the time level are acquired and identified as the urban infrastructure emergencies, and distribution of the urban infrastructure emergencies is displayed on a map through a visual design scheme of root nodes of the urban infrastructure emergencies; thus, the urban infrastructure emergencies are detected, and users can more quickly and sensibly make decisions so as to solve the problems in urban infrastructure.

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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