The following is an analysis of optimization solutions for the operation and maintenance of medium and high voltage Lightning Arresters, combined with technical comparisons, cost calculations, and empirical cases, proposing feasible "cost saving" strategies:
1、 Comparison between traditional power outage pre testing and online monitoring technology
Dimension | Traditional power outage pre-test | Online monitoring technology (infrared+resistive current) |
Detection frequency | Once a year (fixed cycle) | Real time monitoring (data collection per second) |
Power outage duration | 8 hours per incident (including operation recovery time) | 0 hours (no power outage required) |
Detection range | Single time point data | Full lifecycle data trend |
Hidden costs | Production stoppage losses+manual scheduling costs | Only equipment operation and maintenance costs |
Fault detection rate | ≤ 70% (random missed detection) | >95% (automatic abnormal warning) |
2、 Optimization plan: 3-year online monitoring+1 power outage sampling inspection
Implementation Path
1. Monitoring technology combination
-Infrared thermal imaging: Real time scanning of abnormal surface temperature of lightning arresters (warning if temperature difference>2 ℃)
-Resistive current monitoring: Capture changes in full current/resistive component through high-frequency sensors (triggering an alarm when exceeding the limit by 5%)
2. Cycle optimization
```mermaid
timeline
Title: 4-Year Operation and Maintenance Cycle Arrangement
2025: Deploy online monitoring system → real-time data collection
2026: Continuous monitoring+annual data analysis
2027: Continuous monitoring+fault warning and disposal
2028: Power outage sampling (20% equipment sampling test)
```
3. Cost saving logic
Example (taking 10 sets of lightning arresters as an example):
-Traditional mode: 4 years x (8 hours x $500/hour power outage loss+$2000 labor)=$96000
-Optimization plan: ($3000/year monitoring fee x 3 years)+($4000 sampling fee)=$13000
→ Cost reduction of 86.5%
3、 Empirical case: Implementation scenario of 60% cost reduction in a certain industrial park
background
High voltage lightning arrester compression molding video
-Three 220kV substations with 35 sets of lightning arresters
-Original mode: Annual power outage pre-test+sudden fault maintenance
Implementation effect
Indicator | Traditional model (3-year average) | Optimization plan (after implementation) | Change rate |
Annual power outage time | 32 hours | 2 hours (sampling) | ↓ 93.8% |
Fault misjudgment frequency | 4 times/year | 0 times | 100% elimination |
Total operation and maintenance cost | $280000/year | $112000/year | ↓ 60% |
Equipment lifespan | 8-10 years | Estimated extension to 12 years | +25% |
Key Actions
1. Monitoring threshold setting:
-Resistive current>25% of total current → Level 1 alarm
-Temperature gradient>3 ℃/m → Level 2 alarm
2. Sampling strategy:
-Priority detection: devices with historical data fluctuations greater than 10%
-Exemption condition: Stable data for 3 consecutive years (fluctuation<2%)
4、 Implementation suggestions
1. Technical selection
-Select monitoring Terminals that support the IEC 61850 protocol (compatible with power grid dispatch systems)
-Require cloud platforms to have AI trend analysis capabilities (such as predicting 3-year degradation curves based on historical data)
2. Risk control
-Retain last mile power outage verification: conduct targeted tests on warning equipment
-Establish dual redundant monitoring: Install 2 sets of independent sensors at key nodes
>Experience summary: The practice of a provincial power grid company has shown that after adopting this hybrid mode, unplanned power outages caused by lightning arrester failures have decreased by 72%, and every 10000 yuan of operation and maintenance investment has generated a comprehensive benefit of 230000 yuan (including reducing production losses, extending equipment life, etc.).
This scheme is particularly suitable for continuous production industrial scenarios (chemical/semiconductor/data center) and requires calibration in accordance with the "Q/GDW 11020-2013 Technical Specification for Surge Arrester Online Monitoring Device".
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