System composition:
The system equipment is deployed in two layers, namely the front-end lightning arrester monitoring device and the back-end lightning arrester monitoring management device.
The lightning arrester monitoring device is deployed near the lower part of the lightning arrester body to complete signal acquisition, processing, and calculation. At the same time, real-time monitoring data and transient waveform data recorded during the action of the lightning arrester are uploaded to the back-end monitoring management device through a communication interface.
The lightning arrester monitoring and management device is deployed in the electrical cabinet of the carriage, completing the collection, caching, analysis, evaluation, and primary diagnosis of monitoring data. The alarm information, status evaluation information, and real-time monitoring data output by the monitoring and management device are displayed on the built-in display screen, providing technical support for vehicle operation and maintenance personnel.
All cached data and analysis result data of the monitoring and management device can be backed up through the USB interface of the device, achieving big data accumulation and trend analysis of operating status.
System functions:
Real time monitoring of operational data
The lightning arrester monitoring system collects the following parameters every minute:
Operating environment parameters |
temperature |
humidity | |
Quality parameters of contact network power supply |
voltage |
frequency | |
1-20th harmonic voltage value | |
Total Harmonic Distortion (THD) of Voltage | |
Operating parameters of lightning arrester |
Full current |
resistive current | |
capacitative current | |
Resistance capacitance ratio | |
number of actions | |
Action time of lightning arrester |
2. Transient process recording and analysis of actions
The system automatically records the waveform data of the network voltage (sampling rate of 200KSPS), impulse current (sampling rate of 4MSPS), and full current (sampling rate of 200KSPS) before and after the action of the lightning arrester (20ms before and 20ms after the action). When conducting cause analysis after an accident, the system provides recorded waveforms and network voltage analysis data (including voltage frequency, peak value, 1-20th harmonic voltage values, and total harmonic distortion THD value) to support manual analysis.
3 Risk Warning
Based on the operating parameters of lightning arresters, threshold comparison method and trend analysis method are used to evaluate the current operating risks of lightning arresters and output warning information, so as to detect and solve safety hazards of lightning arresters early and prevent operational accidents from occurring.
4. Evaluation of operating status
Comprehensively analyze the operating characteristic parameter values of lightning arresters (full current, resistive current, resistance to capacitance ratio), environmental parameters (temperature, humidity), refer to relevant specifications of the State Grid, and combine our company's experience in the maintenance process of lightning arresters to conduct real-time evaluation of the operating status of lightning arresters. The evaluation of the operation status of lightning arresters is divided into four levels: normal, attentive, abnormal, and severe.
5 Primary Fault Diagnosis
When warning information appears, combined with status evaluation information, the primary fault diagnosis module provides biased diagnostic opinions and suggested focus points. Due to the lack of online monitoring data accumulation and sample data of faulty lightning arresters, as well as the absence of mature diagnostic models in the industry, this system establishes a primary diagnostic model by mining lightning arrester maintenance data and combining it with industry standards. Under the condition of limited fault samples during the initial operation of the system, the primary diagnostic model has certain guiding significance for the maintenance of lightning arresters; After the later model is perfected, the diagnostic results can guide the maintenance of lightning arresters and achieve the goal of intelligent operation and maintenance.
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