In the context of the accelerated construction of the global energy Internet, the operation safety and efficiency of power transmission and transformation equipment become the key to the stability of the power system. As the core sensing unit of the power IoT, the power transmission and transformation IoT sensor realizes the real-time monitoring and intelligent management of equipment status by integrating advanced sensing technology, wireless communication and edge computing capabilities, and provides the power system with“Passive maintenance”to, toward, at, facing“Proactive operation and maintenance”The transformation provides technical support.

1、 Technical advantage: Multi dimensional perception and efficient transmission

1. Total factor status monitoring

Sensors can synchronously collect multidimensional parameters such as current, voltage, temperature, vibration, and partial discharge of devices. For example, lightning arresters use wireless intelligent state sensors to monitor leakage current, which can accurately capture the initial characteristics of insulation degradation and shorten the fault warning time from several hours in traditional methods to minutes.

2. Wireless ad hoc network communication

adoptLoRaLow power wide area network technology allows sensors to independently build wireless local area networks without the need for complex communication lines. In35kV~500kVIn the substation, the communication distance of a single node reaches1000Rice (open environment), and supports100+Node concurrent transmission, data transmission latency lower than500ms.

3. Passive power supply design

Special sensors for lightning arresters extract weak energy from leakage current（≥0.1mA）Realize self powering and eliminate dependence on battery replacement and external power sources. After actual testing, the equipment can still operate stably in continuous rainy weather180Over days, operation and maintenance costs are reduced70%.

4. Edge intelligent processing

The built-in edge computing module can preprocess the original data and transmit only valid characteristic values. For example, by using a longitudinal comparison method to analyze the trend of continuous current changes in lightning arresters, a health score can be automatically generated（0-100Divide), reduce30%Invalid data upload.

2、 Typical application scenario analysis

1. Online monitoring of lightning arrester status

The sensor collects real-time full current, number of actions, and initial operating current, and displays key parameters on the large LCD screen. some500kVAfter the application of the substation, a successful warning was issued3Aging fault of lightning arrester valve plate to avoid equipment damage accidents caused by lightning overvoltage.

2. Comprehensive monitoring of transformers

A monitoring terminal integrating temperature, dissolved gas in oil, and partial discharge sensors can be used to construct a transformer health status assessment model. In ultra-high voltage direct current engineering, the system is advanced45Tian discovered multiple grounding hazards in the iron core, providing a basis for planned maintenance.

3. Perception of transmission line environment

The temperature, sag, and wind deviation sensors of the wire are linked with the micro meteorological station to dynamically calculate the current carrying capacity of the line. During the peak summer season, the system adjusts the transmission limit based on real-time environmental data to improve the utilization rate of the transmission line15%.

3、 Industry Value and Future Evolution

Transmission and transformation IoT sensors“perception-transmission-decision”Closed loop has promoted the innovation of power equipment operation and maintenance mode. The combination with digital twin technology is building a device lifecycle management platform. In the future, with5G+The breakthrough of quantum sensing technology will enable sensors to achieve nanosecond level fault location and sub millimeter level deformation monitoring, laying a perceptual foundation for building a smart grid with self-healing capabilities. According to predictions, to2030In the year, the market size of IoT sensors for power transmission and transformation will break through200Billion yuan has become the core driving force for the digital transformation of the power industry.