Smart Grid Online Monitoring System

Online monitoring for smart grids is a key technology for adapting to the new‑generation power system. Leveraging sensors, the Internet of Things, and AI algorithms, it enables 24/7 data collection, transmission, and analysis of critical equipment such as transmission lines, transformers, and switchgear. This capability allows for real‑time detection of equipment anomalies—such as line icing, insulation aging, and localized overheating—providing early fault warnings to mitigate the risk of outages. At the same time, it dynamically assesses equipment health, supporting the development of precise maintenance plans and reducing unplanned downtime. Furthermore, it supplies real‑time data to grid dispatch operations, facilitating the efficient integration of renewable energy sources and enhancing the overall efficiency and stability of the power grid.

Fluorescent Fiber Optic Temperature Measurement System

The fluorescent fiber‑optic temperature measurement system is specifically designed to predict faults and fires caused by insulation aging or poor contact in high‑voltage switchgear, disconnect switches, cable joints, transformers, and similar equipment. These devices operate in harsh electrical environments with strong electromagnetic interference, whereas optical fibers offer electrical insulation, intrinsic safety, and immunity to electromagnetic disturbances. The sensor probe can be mounted in direct contact with the measurement point, enabling "zero‑distance" monitoring of temperature anomalies to prevent equipment failures and electrical fires.

Online Power Monitoring

High-voltage switchgear is widely used but suffers from a high accident rate, with insulation failures being particularly common and often leading to severe consequences—especially in drawer-type switchgear, which can easily propagate damage to adjacent cabinets. Consequently, online monitoring is essential to enable condition-based maintenance, thereby minimizing power outages and accidents. Insulation faults manifest in various forms, and partial discharge represents the stage preceding dielectric breakdown, providing valuable insights into insulation condition; thus, online partial‑discharge monitoring is an effective approach. An online monitoring system for partial discharge and temperature rise in high‑voltage switchgear can detect electromagnetic‑wave emissions from partial discharge and measure joint temperatures, scan internal electromagnetic fields to identify optimal detection frequencies, and then upload the data to the cloud.