Large-scale amusement facility operation monitoring method, device, electronic equipment and storage medium

By building a dynamic health management indicator system and intelligent analysis technology, the problem of incomplete monitoring of amusement facilities has been solved, and comprehensive monitoring of the facility's operating status and safety improvement have been achieved.

CN119990790BActive Publication Date: 2025-09-05SHENZHEN EXCELLENCE INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202510483197.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-17
Publication Date
2025-09-05
Estimated Expiration
2045-04-17

AI Technical Summary

Technical Problem

The existing amusement facility operation monitoring system is not comprehensive enough and inefficient, resulting in frequent safety accidents.

Method used

Build a dynamic health management indicator system, combine multiple advanced technologies for data collection, fusion and intelligent analysis, use deep learning and big data analysis for fault diagnosis, prediction and remaining life assessment, including obtaining facility three-dimensional data, historical data, deploying smart sensors, using smart inspection robots or drones for inspection, and performing intelligent analysis through deep learning models and expert systems.

Benefits of technology

It has achieved comprehensive monitoring and quantitative evaluation of the operating status of large-scale amusement facilities, significantly improving the safe operation level and maintenance efficiency of the equipment.

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Abstract

The present invention proposes a method, device, electronic device, and storage medium for monitoring the operation of large-scale amusement facilities, including: constructing a three-dimensional model of the facility; establishing a basic failure model for the amusement facility; identifying key risk areas based on the model and the three-dimensional model; generating a multi-dimensional health assessment framework; testing key risk areas and monitoring operating parameters and structural health status; conducting automatic inspections of the amusement facility and collecting video images; deeply fusing non-destructive testing data, operating parameters, structural health data, and video images to obtain monitoring data; analyzing the monitoring data to automatically identify, diagnose, and predict faults; assessing the remaining service life of key risk areas of the amusement facility and conducting trend analysis in combination with historical data; quantitatively evaluating the health status of the facility, generating dynamic risk warnings and repair recommendations, and formulating a maintenance plan. The solution of the present invention significantly improves the safety and maintenance efficiency of the equipment.
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