Intelligent fault diagnosis and self-recovery method for long-distance water transportation and transfer project

Abstract

The invention discloses an intelligent fault diagnosis and self-recovery method for a long-distance water transmission and transfer project, and relates to the technical field of water conservancy and hydropower, and the method comprises the steps: carrying out the fault detection of an equipment state, a power supply state and a communication state based on an Internet of Things control box through an intelligent operation and maintenance unit in the control box, and recording a health state; when the intelligent operation and maintenance unit detects that a fault exists, alarm information is sent; based on the alarm information, calling a restart instruction of the equipment or performing initiative power-off / power-on on the current power supply line through an RTU operation relay, and performing self-recovery operation; and verifying the repair condition of the Internet of Things control box after the self-recovery operation is completed, verifying the restart effect and forming a closed loop, and constructing a diagnosis map under the intelligent fault diagnosis and self-recovery model. According to the method, closed operation of diagnosis, processing, recovery and verification is followed, fault diagnosis and self-recovery are performed through self-closed loop of the intelligent operation and maintenance unit, and a fault map is constructed, so that operation and maintenance support is provided for business operation and maintenance personnel.

Description

technical field [0001] The invention relates to the technical field of water conservancy and hydropower, and more specifically relates to an intelligent fault diagnosis and self-recovery method for long-distance water transfer projects. Background technique [0002] In order to better effectively manage long-distance channels, irrigation canals, pipelines, and water transfer projects, we have designed an IoT control box that integrates DC power supply and monitoring. The control box integrates many devices, but many The models, specifications, power supply, communication and other requirements of the equipment are not the same, and the function of the equipment is mainly data collection. It is only when the data or data is abnormal that we will notice that there is a problem with the equipment, and then send maintenance personnel to the site to investigate and solve it. However, the reliability and accuracy of the data collected in such an environment are difficult to guaran...

AI Technical Summary

Problems solved by technology

[0003] In addition, although abnormalities or faults in the equipment can be found through the collected data, and the equipment itself may also have alarms or indicator lights, it is difficult for off-site operation and maintenance personnel to troubleshoot and recover in time when they arrive at the site, and equipment maintenance is easily delayed. , which is a test for the stability and disaster tolerance of the equipment

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