Environmental protection facility state monitoring and diagnosing method and system based on vibration and infrared detection

By combining vibration and infrared sensor data, the space-time convolution network and the adaptive feature transformation network are used to fusion data, and combined with abnormal detection and fault diagnosis models, emergency treatment strategies are generated, which solves the shortcomings in the status monitoring of environmental protection facilities and equipment in the existing technology, and achieves efficient and accurate fault diagnosis and emergency treatment.

CN119714407AInactive Publication Date: 2025-03-28ANHUI ENVIRONMENTAL INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202411770668.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-04
Publication Date
2025-03-28
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing environmental protection facilities equipment status monitoring methods have problems such as incomplete data collection, unstable data quality, insufficient fault diagnosis capabilities, lack of adaptive update mechanisms and lagging responses to control strategies, and it is difficult to meet the needs of efficient, accurate, real-time fault diagnosis and emergency response.

Method used

The environmental protection facility status monitoring and diagnosis method based on vibration and infrared detection is adopted. By combining the data of vibration sensors and infrared temperature sensors, the multi-dimensional characteristics of the equipment are extracted using the spatiotemporal convolution network, and data fusion is achieved through the adaptive feature transformation network, and an abnormality detection algorithm and fault diagnosis model are combined to generate appropriate emergency treatment strategies.

Benefits of technology

It realizes more accurate monitoring of the operating status of environmental protection facilities and equipment, improves the accuracy and response efficiency of fault diagnosis, reduces human intervention, and ensures the safe operation of the equipment.

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Abstract

The invention discloses an environmental protection facility state monitoring and diagnosing method and system based on vibration and infrared detection, and the method comprises the following steps: collecting vibration and temperature data of environmental protection facility equipment, removing noise and environment interference through a filtering algorithm, and carrying out the standardization processing; extracting features of the data through a space-time convolutional network; performing deep fusion on the features by using an adaptive feature transformation network; performing abnormal mode detection; analyzing potential reasons of the abnormal mode by using a causal inference model, and generating a fault diagnosis report; a real-time processing strategy is generated, and the operation state of the environmental protection facility equipment is controlled in real time; and the fault diagnosis result and the instant processing strategy are uploaded to a cloud management platform, a notification is sent to related maintenance personnel, and remote monitoring and collaborative maintenance are realized. According to the method, the space-time convolutional network and the causal inference model are adopted, the faults of the environmental protection facility equipment are effectively identified, a proper emergency processing strategy is generated according to the real-time monitoring data, and the accuracy and response efficiency of equipment fault diagnosis are improved.
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