A pedestrian floor tile operation and maintenance management method and system based on big data analysis

By dividing the pedestrian network into monitoring zones and deploying vibration sensors to calculate the regional vibration activity and dispersion indicators, the problem of existing technologies being unable to identify large-scale roadbed erosion has been solved, enabling early warning of potential settlement risks and improving the intelligence and safety of operation and maintenance management.

CN121504443BActive Publication Date: 2026-06-09HANGZHOU LIHUAN ENVIRONMENT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HANGZHOU LIHUAN ENVIRONMENT TECH CO LTD
Filing Date
2026-01-13
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

The existing pedestrian pavement maintenance and management system cannot effectively detect large-scale, gradual roadbed erosion caused by underground hidden factors, resulting in the inability to detect potential settlement risks in a timely manner, easily missing the best intervention opportunity, and causing public safety accidents.

Method used

By dividing the pedestrian network into monitoring areas, deploying multiple vibration sensors to collect paving stone vibration data, calculating the regional vibration activity and dispersion indices, and using a dynamic time window analysis method to determine the long-term trend of regional vibration indices, settlement risk early warning information is generated.

Benefits of technology

It enables early and effective warning of potential road collapse risks, improving the level of intelligent operation and maintenance management of urban infrastructure and the ability to ensure public safety.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to a pedestrian floor tile operation and maintenance management method and system based on big data analysis. The pedestrian floor tile operation and maintenance management method comprises the following steps: dividing a pedestrian network into monitoring areas, and deploying a plurality of vibration sensors in each monitoring area according to a predetermined spatial distribution to collect vibration data of floor tiles under daily load; periodically comprehensively analyzing the vibration data in each monitoring area to calculate and obtain a regional vibration activity index and a regional vibration dispersion index of the monitoring area; long-term trend monitoring is performed on the regional vibration activity index and the regional vibration dispersion index of each monitoring area, and a dynamic time window analysis method is adopted to judge whether the regional vibration activity index presents a continuous downward trend and whether the regional vibration dispersion index presents a continuous downward trend or a consistent trend; when the continuous downward trend of the regional vibration activity index and the continuous downward trend or the consistent trend of the regional vibration dispersion index are simultaneously identified, it is judged that the monitoring area has a subsidence risk, and subsidence risk early warning information is generated and sent. The application realizes early and effective early warning of potential road subsidence risks.
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