Under the trend of intelligent operation and maintenance of power equipment, the lightning arrester online monitoring system effectively solves the lag problem of traditional offline detection by real-time sensing of equipment status. withJC-OM200Taking the online monitoring device of lightning arrester as an example, this article systematically elaborates on its application scenarios, maintenance points, and typical cases.

1、 Core application scenarios

1. Ultra high voltage direct current engineering protection

In±800kVIn the Wudongde DC transmission project, the system implements full lifecycle monitoring of the lightning arrester at the converter station. By continuously collecting the fundamental component of resistive current, a successful warning was issued3The early aging of the valve plate of the lightning arrester prevented a DC blocking accident caused by the failure of the lightning arrester. Data shows that the monitoring system has reduced the rate of sudden equipment failures76%.

2. Optimization of lightning protection for new energy stations

At the photovoltaic base in Hainan Prefecture, Qinghai Province, the system targets220kVConduct lightning characteristic analysis on the surge arrester of the booster station. By recording the waveform parameters of lightning strikes (peak value)210kA, Energy125kJ）Building a lightning hazard risk map based on meteorological data to guide station optimization of lightning arrester layout and reduce equipment lightning damage rate42%.

3. Intelligent operation and maintenance of urban power grid

In the application of Shanghai Pudong power grid, the system andPMS3.0Deep integration of the system to achieve86Visualization of lightning arrester status in the substation. By setting a three-level warning threshold (attention value)120%Abnormal values150%Fault value200%）Automatically trigger work order push, enabling lightning arrester defect handling time to be improved72Shorten hours to4hour

2、 Key maintenance techniques

1. Sensor accuracy calibration

Annual calibration: adoptedFLUKE 8508AStandard source, perform three-point calibration on the current sensor（50μAThe5mAThe500mA）

Phase correction: usingOmicron CPC 100Tester, adjust voltage current phase difference≤0.5°

Environmental compensation: Verify the accuracy of temperature and humidity sensors every quarter（±0.3℃/±3%RH）

2. Communication link guarantee

Wired maintenance: inspectionRS485Bus terminal resistance（120Ω）Measure line attenuation（≤0.5dB/100m）

Wireless optimization: adjustmentLoRaModule transmission power (maximum)20dBm）Test the transmission distance in an open environment（≥2.8km）

Anti interference processing: Install magnetic ring filters in the strong electromagnetic field area of the substation to reduce common mode interference35dB

3. Software system upgrade

Algorithm iteration: Update the resistive current separation algorithm every six months to improve the analysis accuracy under nonlinear load conditions

Database maintenance: Cleaning up over3Annual historical data, optimizedOracleDatabase index

Security reinforcement: UpgradeHTTPSAgreement toTLS1.3Prevent network attacks

3、 Typical fault handling

1. Abnormal fluctuations in data

Phenomenon: The daily fluctuation of resistive current exceeds30%

Solution: Check if the sensor wiring is loose and verify the sampling waveform distortion rate with an oscilloscope (should be<5%）

Case: A certain500kVThe substation experienced data jump due to poor contact, but returned to normal after tightening the wiring terminals

2. Communication interruption

Phenomenon: Continuous backend30No data received in minutes

Solution: Check the output of the power module（DC24V±5%）, Testing4GModule signal strength（RSRP≥-105dBm）

Case: A certain wind farmSIMCard arrears result in disconnection, and the system automatically recovers after recharging

3. false alarm

Phenomenon: Continuous issuance of Level 3 warning but normal on-site inspection

Processing: Clock synchronization of calibration monitoring device（NTPTiming error<1ms）Adjust the warning threshold coefficient

Case: A chemical plant caused false alarms due to harmonic interference, which were eliminated after installing filtering devices

4、 Suggested Maintenance Cycle Table

The practice of this system in East China, Northwest China and other regions has shown that strict adherence to maintenance standards can increase equipment availability to99.6%The data accuracy has reached98.3%With the integration and application of digital twin technology, the online monitoring of lightning arresters in the future will achieve three-dimensional model visualization and fault prediction, promoting the transformation of power equipment operation and maintenance to predictive maintenance mode.