Code assigning method and system based on urban infrastructure

By building a multi-level coding structure and IoT sensor combined with AI analysis module, the coding fragmentation and data island problems in urban infrastructure management are solved, and the intelligent management and efficient operation and maintenance of facilities are realized.

CN120471076APending Publication Date: 2025-08-12浪潮智慧城市科技有限公司 +1
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Patent Information

Application Number
CN202510536700.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-27
Publication Date
2025-08-12

AI Technical Summary

Technical Problem

There are problems in traditional urban infrastructure management with fragmentation of coding standards, lagging static identification information and data islands, resulting in difficulty in cross-department data sharing, poor real-time facility status, and low operation and maintenance efficiency.

Method used

Build a multi-level coding structure, combine the Internet of Things sensor to collect facility status data, use anti-metal QR codes, RFID tags or laser etch codes for identification and deployment, and implement fault prediction and intelligent decision-making through deep coding integration and AI analysis modules, and combine blockchain evidence storage and urban information model for data fusion.

Benefits of technology

It improves the efficiency of facility positioning, reduces operation and maintenance costs, realizes intelligent management of the entire life cycle of the facility, and improves management efficiency and data credibility.

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Abstract

The invention discloses a coding and tagging method and system based on urban infrastructures, and belongs to the technical field of unified identification code coding, the realization of the method comprises the following steps: constructing a multi-level coding structure which comprises administrative division codes, facility type codes, unique serial numbers and dynamic attribute extension segments; acquiring real-time state data of the facility through an Internet of Things sensor, and writing key parameters into the dynamic attribute extension section; selecting an adaptive code identification mode according to a facility physical environment to carry out identification deployment; binding the codes with the three-dimensional coordinates of the urban information model to realize digital twinborn mapping; and fault prediction and intelligent decision making are realized through a coding depth integration and AI analysis module. According to the method, the problems of fragmentation, static identification information lag and data islanding of a traditional coding system are solved, the facility positioning efficiency is improved, the operation and maintenance cost is reduced, and reliable support is provided for intelligent management of the whole life cycle of urban infrastructures.
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