Why Switchgear Needs Continuous Monitoring
In modern power systems, switchgear plays a critical role in distributing and protecting electrical energy.
The insulation condition of switchgear directly affects the safety and stability of the entire power network.
However, due to insulation aging, humidity, or poor installation, partial discharge (PD) may occur inside the cabinet.
These micro discharges are early signs of insulation degradation that can eventually cause major equipment failures if left undetected.
System Overview of the Switchgear Partial Discharge Online Monitoring System
The switchgear partial discharge online monitoring system integrates
multi-sensor detection, wireless communication, and AI-based analytics.
It shifts equipment maintenance from passive inspection to proactive prevention, ensuring stable and safe operation.
Core Functional Modules
1. Intelligent Partial Discharge Detection
– Smart 3-in-1 Sensor: Combines Transient Earth Voltage (TEV), Ultrasonic (AA), and
temperature-humidity sensing for multi-dimensional PD detection.
– Intelligent UHF Sensor: Operates within 300 MHz–3 GHz, offering high sensitivity and strong anti-interference performance.
– Intelligent Spatial UHF Sensor: Uses a 3D array structure for accurate PD source localization.
All sensors transmit data wirelessly via LoRa communication. The collected data are analyzed in a
cloud-based monitoring platform and displayed on both PC and mobile dashboards.
2. Wireless Temperature Monitoring
In addition to PD detection, the system integrates passive wireless temperature sensors
to continuously monitor critical points such as contacts and joints.
These sensors operate with self-powered design, no external power required, and provide ±1°C accuracy with multiple mounting options
including tie, clamp, and screw fixing.
Temperature data are transmitted via RS485 or wireless networks and combined with PD information for
dual-dimensional electrical and thermal diagnostics.
Smart Diagnostics and Predictive Maintenance
The built-in AI diagnostic algorithms analyze multi-source data to assess insulation health
and predict potential risks. The system automatically classifies PD types such as corona, surface, or internal discharge,
provides multi-level alarms and trend forecasting, and integrates with
SCADA or other automation platforms for centralized control.
When abnormal PD activity is detected, alerts are instantly sent to maintenance personnel for timely action,
greatly improving fault prediction accuracy and system reliability.
Applications and Key Benefits
Typical Application Scenarios
- Substations and distribution rooms – Real-time condition monitoring of critical assets
- Data centers and industrial facilities – Ensuring continuous and safe power supply
- Renewable energy and rail transit – Supporting intelligent and unattended maintenance
Benefits
- Early fault detection and prevention
- Reduced downtime and maintenance cost
- Extended equipment lifespan
- Improved operational safety and reliability
Conclusion
The reliable operation of switchgear depends on precise, continuous condition monitoring.
Leveraging years of expertise in power diagnostics,
Zhuhai Huawang Technology has developed an advanced
partial discharge and temperature online monitoring solution that combines
high-sensitivity sensors, intelligent algorithms, and wireless communication.
This innovative system empowers utilities and industries to achieve
visualized, intelligent, and remote operation & maintenance,
ensuring a smarter, safer, and more resilient power network.