29-03 2026
Core Technologies of Intelligent Low-Voltage Switchgear: Applications of Internet of Things (IoT) and Edge Computing
Core Technologies of Intelligent Low-Voltage Switchgear: Applications of Internet of Things (IoT) and Edge Computing
With the rapid development of the new power system and the in-depth advancement of digital transformation in various industries, intelligent low-voltage switchgear has gradually replaced traditional switchgear and become the core equipment of the low-voltage power distribution system. Different from the traditional low-voltage switchgear which only has basic functions such as power distribution and fault protection, the intelligent low-voltage switchgear integrates advanced technologies such as Internet of Things (IoT), edge computing, intelligent sensing and data communication, realizing the transformation from "passive operation" to "active perception, intelligent decision-making and efficient operation". Among them, IoT and edge computing are the core driving forces for the intelligence of low-voltage switchgear, which jointly build the digital and intelligent foundation of the switchgear, significantly improving the reliability, efficiency and safety of the power distribution system. This article systematically elaborates on the application principles, implementation methods and practical value of IoT and edge computing in intelligent low-voltage switchgear, combines the latest industry technologies and application cases, provides a comprehensive technical guide, with a total word count of about 1500 words, suitable for engineering and technical personnel engaged in power distribution equipment design, intelligent transformation and operation and maintenance.
1. Overview of Intelligent Low-Voltage Switchgear
Intelligent low-voltage switchgear is a new type of power distribution equipment that integrates power distribution, control, protection, monitoring and communication functions. It takes the traditional low-voltage switchgear as the carrier, and realizes the full life cycle management of the switchgear by integrating intelligent sensing components, IoT communication modules and edge computing units. Its core characteristics are digitization, networking and intelligence: digitization means that all operating parameters of the switchgear can be collected and converted into digital signals for storage and analysis; networking means that the switchgear can realize data interaction with the upper monitoring system, cloud platform and other equipment through the IoT network; intelligence means that the switchgear can independently complete state monitoring, fault diagnosis, load optimization and other functions through data analysis and intelligent decision-making.
In the context of the new power system, the intelligent low-voltage switchgear is not only a power distribution node, but also an important part of the smart grid and industrial Internet. It is widely used in industrial parks, high-rise buildings, data centers, new energy power stations and other scenarios, undertaking the important task of ensuring the safe and efficient operation of the low-voltage power distribution system. According to the latest industry report, more than 93% of the mainstream intelligent low-voltage switchgear products have integrated IoT and edge computing capabilities, and the fault early warning accuracy has been improved to more than 87%, which has significantly reduced the operation and maintenance cost and unplanned power outage time of the power distribution system.
2. Application of Internet of Things (IoT) in Intelligent Low-Voltage Switchgear
The Internet of Things (IoT) is the foundation of the intelligent transformation of low-voltage switchgear, which realizes the "perception" and "connection" capabilities of the switchgear by deploying a large number of intelligent sensing devices and communication modules. Its core function is to collect real-time operating data of the switchgear, transmit the data to the edge computing unit or cloud platform through the network, and lay the foundation for subsequent data analysis and intelligent decision-making. The application of IoT in intelligent low-voltage switchgear is mainly reflected in three aspects: sensing layer deployment, communication layer construction and data collection and transmission.
2.1 Sensing Layer Deployment
The sensing layer is the "nerve ending" of the IoT system, responsible for collecting various operating parameters of the intelligent low-voltage switchgear. A variety of high-precision sensors are deployed inside and outside the switchgear, covering electrical parameters, environmental parameters and mechanical parameters. Electrical parameters include three-phase voltage, current, power factor, harmonic content, leakage current and other indicators, which are collected by voltage sensors, current sensors and power sensors with millisecond-level sampling accuracy; environmental parameters include temperature, humidity, dust concentration and corrosive gas content inside the cabinet, which are collected by temperature and humidity sensors, dust sensors and gas sensors; mechanical parameters include the opening and closing state of the circuit breaker, contact wear, mechanical vibration and other indicators, which are collected by position sensors, vibration sensors and infrared temperature measurement probes.
At present, more than 55% of the new intelligent low-voltage switchgear is equipped with infrared temperature measurement probes and partial discharge detection devices, and some high-end models have introduced optical fiber temperature measurement and AI sound wave recognition technology to identify potential hidden dangers such as loose connections and insulation aging in advance. These sensors are integrated with the switchgear body, with small size, high reliability and strong anti-interference ability, which can work stably in harsh environments such as high temperature, high humidity and strong electromagnetic interference, ensuring the accuracy and real-time performance of data collection.
2.2 Communication Layer Construction
The communication layer is the "information channel" of the IoT system, responsible for transmitting the data collected by the sensing layer to the edge computing unit or cloud platform. The communication module of the intelligent low-voltage switchgear usually supports multiple communication protocols and network modes to adapt to different application scenarios. Wired communication modes include Ethernet, RS485 and CAN bus, which have the advantages of stable transmission and high bandwidth, and are suitable for fixed scenarios such as industrial parks and data centers; wireless communication modes include 4G/5G, Wi-Fi, LoRa and NB-IoT, which have the advantages of flexible deployment and no wiring, and are suitable for mobile scenarios or scenarios where wiring is difficult.
In terms of communication protocols, the intelligent low-voltage switchgear mainly adopts international standard protocols such as Modbus-TCP, IEC 61850 and MQTT. Among them, IEC 61850 protocol is widely used in smart grid projects, realizing the seamless connection between low-voltage switchgear and upper monitoring systems; MQTT protocol is suitable for low-power and low-bandwidth scenarios, which is widely used in the remote monitoring of low-voltage switchgear in residential areas and small commercial buildings. The application of these standard protocols ensures the interoperability and compatibility of the switchgear, and realizes the unified management of multi-brand and multi-type switchgear.
2.3 Data Collection and Transmission
The IoT system of the intelligent low-voltage switchgear realizes real-time, continuous and comprehensive data collection and transmission. The sensing devices collect data at a fixed frequency (usually 100ms to 1s), and the communication module transmits the data to the edge computing unit in real time. For key parameters such as short-circuit current and leakage current, the data collection frequency can be increased to millisecond level to ensure that the fault can be detected in time. At the same time, the IoT system has data encryption and anti-interference functions, which can prevent data loss, tampering and leakage during transmission, ensuring the security and reliability of data transmission.
Taking ABB Ability™ low-voltage switchgear as an example, its IoT system can connect intelligent devices and sensors to the ABB Ability™ platform, realize real-time data transmission and storage, and provide users with real-time data display, alarm monitoring and status monitoring functions, laying the foundation for predictive maintenance and safe operation.
3. Application of Edge Computing in Intelligent Low-Voltage Switchgear
Edge computing is a key technology to solve the problems of high latency, large bandwidth consumption and poor real-time performance of cloud computing in the intelligent low-voltage switchgear system. It deploys computing resources at the "edge" of the network (i.e., the switchgear itself or the nearby control cabinet), realizes local data processing, analysis and decision-making, and avoids the need to transmit all data to the cloud platform, which greatly improves the real-time performance and reliability of the system. The application of edge computing in intelligent low-voltage switchgear is mainly reflected in local data processing, real-time fault diagnosis, load optimization control and cloud-edge collaboration.
3.1 Local Data Processing
The intelligent low-voltage switchgear generates a large amount of operating data every day, including real-time monitoring data, fault records and operation logs. If all these data are transmitted to the cloud platform for processing, it will not only consume a lot of network bandwidth, but also cause significant data transmission latency. Edge computing units deployed in the switchgear can process the collected data locally: filter out invalid data and noise, extract key data and characteristic parameters, and convert the original data into useful information. For example, the edge computing unit can calculate the power consumption, load rate and other indicators of the switchgear in real time, and judge whether the operating state of the switchgear is normal according to the preset threshold.
At present, most intelligent low-voltage switchgear is equipped with edge computing units based on ARM Cortex-A series processors, which can realize the local processing of no less than 15 electrical parameters, and ensure the efficiency and real-time performance of data processing. This local data processing mode not only reduces the pressure on the cloud platform and network bandwidth, but also ensures that the system can work normally even when the network is disconnected.
3.2 Real-Time Fault Diagnosis
Real-time fault diagnosis is one of the core applications of edge computing in intelligent low-voltage switchgear. The edge computing unit stores the fault diagnosis model and threshold parameters locally, and compares the real-time data collected by the IoT sensing layer with the preset threshold and fault characteristic model in real time to realize rapid fault diagnosis and early warning. For common faults such as overload, short circuit, leakage, contact overheating and insulation aging, the edge computing unit can quickly identify the fault type, location and severity, and send fault alarm signals to the on-site operator and upper monitoring system in real time.
Some advanced edge computing units also integrate deep learning algorithms, which can continuously learn the operating data of the switchgear, optimize the fault diagnosis model, and improve the accuracy of fault diagnosis. For example, the "Dianzhiliao" AI diagnosis system jointly developed by Chint and Alibaba Cloud can realize early warning of common faults such as overload and phase loss 48 hours in advance, with an accuracy rate of 89.3%. This real-time fault diagnosis capability can help operators deal with faults in a timely manner, reduce the impact of faults on the power distribution system, and avoid serious accidents such as equipment damage and power outages.
3.3 Load Optimization Control
Edge computing can also realize load optimization control of the intelligent low-voltage switchgear, improve the operating efficiency of the power distribution system and reduce energy consumption. The edge computing unit collects the load data of each loop of the switchgear in real time, analyzes the load change law and peak-valley characteristics, and optimizes the load distribution according to the preset control strategy. For example, in the peak period of power consumption, the edge computing unit can automatically cut off non-critical loads to ensure the stable operation of critical loads; in the low period of power consumption, it can adjust the load distribution to improve the load rate of the switchgear and reduce energy loss.
In a new smart community demonstration project in Foshan, Guangdong, the intelligent low-voltage switchgear equipped with edge computing units can realize load prediction and priority control, reducing the maximum load rate of the transformer in the station area by 14.8 percentage points and increasing the voltage qualification rate from 92.3% to 98.6%. This load optimization control capability not only improves the reliability of the power distribution system, but also achieves the effect of energy saving and emission reduction.
3.4 Cloud-Edge Collaboration
Edge computing does not replace cloud computing, but forms a complementary cloud-edge collaboration mode with cloud computing. The edge computing unit is responsible for local real-time data processing, fault diagnosis and load control, and transmits the processed key data (such as fault records, operating status reports and energy consumption data) to the cloud platform regularly. The cloud platform is responsible for large-scale data storage, overall analysis and long-term trend prediction, and issues control instructions to the edge computing unit according to the overall operation status of the power distribution system, realizing the coordinated operation of the edge and the cloud.
For example, the cloud platform can analyze the operating data of multiple intelligent low-voltage switchgears in a region, find the common problems and weak links of the power distribution system, and formulate targeted maintenance plans and optimization strategies; the edge computing unit executes the control instructions issued by the cloud platform, adjusts the operating parameters of the switchgear, and realizes the overall optimization of the power distribution system. This cloud-edge collaboration mode combines the real-time performance of edge computing and the large-scale data processing capability of cloud computing, maximizing the intelligence level of the intelligent low-voltage switchgear.
4. Practical Application Effects and Technical Advantages
The application of IoT and edge computing in intelligent low-voltage switchgear has brought significant technical advantages and practical application effects, which have been widely verified in various industries. First, it improves the reliability of the power distribution system: through real-time state monitoring and fault early warning, the fault can be detected and handled in the early stage, reducing the unplanned power outage time. According to the test data of Jiangsu Electric Power Research Institute of State Grid, the average fault discovery time of intelligent low-voltage switchgear equipped with IoT and edge computing systems is shortened from 72 hours to 4.2 hours, and the number of unplanned power outages is reduced by 61% year-on-year. Second, it reduces operation and maintenance costs: the intelligent low-voltage switchgear can realize predictive maintenance, avoiding blind maintenance and over-maintenance, and reducing the labor intensity of operators and the cost of spare parts. Third, it improves energy efficiency: through load optimization control and energy consumption monitoring, the energy loss of the power distribution system is reduced. Relevant data show that the intelligent low-voltage switchgear integrated with IoT and edge computing can help users reduce the loss of the power distribution link by an average of 8.4%. Fourth, it supports the digital transformation of the power distribution system: the data collected by the IoT and edge computing systems provides a data foundation for the digital management of the power distribution system, realizing the full life cycle management of the switchgear.
5. Key Technical Points and Application Notes
In the process of applying IoT and edge computing in intelligent low-voltage switchgear, the following key technical points and application notes should be paid attention to to ensure the stability and reliability of the system. First, the selection of sensing devices and communication modules should be based on the actual application scenario, ensuring high precision, high reliability and strong anti-interference ability. For harsh industrial environments, sensors and communication modules with IP54 or above protection level should be selected to adapt to the working environment of high temperature, high humidity and strong electromagnetic interference. Second, the edge computing unit should be selected according to the data processing requirements, ensuring sufficient computing power and storage capacity, and supporting the expansion of functions. Third, attention should be paid to data security and privacy protection, and data encryption and access control technologies should be adopted to prevent data leakage and tampering. Fourth, the compatibility and interoperability of the system should be considered, and standard communication protocols and interfaces should be adopted to realize the connection with the upper monitoring system, cloud platform and other equipment. Fifth, the system should be regularly maintained and upgraded, including the calibration of sensing devices, the update of edge computing algorithms and the optimization of communication modules, to ensure the long-term stable operation of the system.
6. Conclusion
IoT and edge computing are the core technologies of intelligent low-voltage switchgear, which jointly promote the transformation of low-voltage switchgear from traditional power distribution equipment to intelligent, digital and networked equipment. The IoT technology realizes the full perception and connection of the switchgear, providing a data foundation for intelligence; edge computing technology realizes local data processing and real-time decision-making, solving the problems of high latency and large bandwidth consumption of cloud computing, and improving the real-time performance and reliability of the system. The combination of the two technologies not only improves the operating efficiency, reliability and safety of the low-voltage power distribution system, but also reduces operation and maintenance costs and energy consumption, providing strong support for the construction of the new power system and the digital transformation of various industries.
With the continuous development of IoT and edge computing technologies, the intelligent low-voltage switchgear will develop in the direction of higher intelligence, more reliable performance and more perfect functions. In the future, it will further integrate with technologies such as artificial intelligence, big data and digital twins, realize more accurate fault prediction, more intelligent load control and more efficient operation and maintenance, and make greater contributions to the safe, stable and efficient operation of the power distribution system.
