Project Background
As a core backbone enterprise ensuring regional power supply, State Grid is responsible for the operation and maintenance (O&M) management of a large number of power facilities such as distribution rooms and substations. With the transformation of the power system towards the “Three Types and Two Networks” strategy, the traditional O&M mode is facing numerous challenges: first, power facilities are widely distributed, and some stations are located in remote mountainous areas or complex urban environments, resulting in low efficiency of manual inspections and potential safety blind spots; second, it is difficult to real-time monitor environmental parameters such as temperature and humidity, SF6 gas concentration, water immersion, and smoke in key locations like distribution rooms, which may easily cause equipment failures; third, the lack of accurate monitoring of the operating status of power supply equipment makes it impossible to timely warn of problems such as abnormal current and overload, which may lead to equipment damage or even electrical fires; fourth, data from various stations is scattered, making it difficult to achieve centralized management and control as well as intelligent analysis and decision-making. To address these issues, State Grid has collaborated with Yuzan Tech., leveraging its core technologies and patent reserves in the field of power intelligence to tailor-make a Power Environment Monitoring System and a Power Management System suitable for complex grid scenarios, accurately meeting the needs of O&M upgrading.
Core Project Requirements
Based on the O&M pain points of State Grid, this project has clarified the requirements for two core systems, forming a comprehensive “environment + power supply” guarantee system:
(I) Requirements for the Power Environment Monitoring System
1.Full-parameter monitoring: Realize real-time collection of environmental parameters such as temperature and humidity, SF6/O2 concentration, smoke, dust, water leakage, and cable trench water level in distribution rooms, substations, and other places, while covering the monitoring of power equipment status parameters such as switchgear busbar temperature measurement and partial discharge monitoring.
2.Intelligent early warning and linkage: When monitored parameters exceed safety thresholds, the system shall quickly issue multi-channel early warnings such as audio-visual alarms and SMS notifications, and automatically link with equipment such as air conditioners, dehumidifiers, fans, and water pumps for precise regulation, avoiding equipment failures caused by environmental out-of-control.
3.Centralized visual management: Support data aggregation from multiple stations, realize visual display of environmental status and equipment operation through the monitoring platform, and support remote viewing, historical data query, and report generation to assist O&M decision-making.
(II) Requirements for the Power Management System
1.Full-link safety monitoring: Conduct real-time monitoring of power supply parameters such as incoming line voltage, load current, and storage battery status of power facilities, and accurately identify potential safety hazards such as excessive current and unstable voltage.
2.Intelligent protection and control: When power supply abnormalities are detected, the system shall respond quickly, automatically issue interrupt commands, and implement precise power cuts when necessary to avoid equipment damage and the expansion of safety accidents.
3.Automated and low-cost O&M: Reduce manual intervention, realize automated recording and management of the operating status of power supply equipment, lower the cost of manual inspections, and provide data support for the preventive maintenance of power supply equipment.
Solution: Dual-System Collaborative Architecture
Relying on its independently developed core patent technologies such as edge computing gateways and cross-system collaborative scheduling algorithms, and combined with State Grid’s construction requirements of “edge IoT + centralized management and control”, Yuzan Tech and State Grid have jointly built a linked, efficient, independent, and controllable Power Environment Monitoring System and Power Management System. The overall system adopts a three-layer architecture of “on-site equipment layer – network communication layer – master station monitoring layer”, balancing real-time performance, security, and scalability:
(I) Power Environment Monitoring System
1.On-site equipment layer: Deploy various intelligent terminals such as temperature and humidity sensors, SF6/O2 dual-gas detectors, water immersion sensors, smoke sensors, busbar temperature measurement sensors, high-definition cameras, and biometric access control to achieve comprehensive perception of environmental, power, and security parameters. All sensors adopt industrial-grade design, adapting to the complex operating environment of power facilities and ensuring the stability and accuracy of data collection.
2.Network communication layer: Adopt the customized and optimized wireless multi-hop ad hoc network technology of Yuzan Tech, combined with industrial Ethernet switches to build a highly reliable communication network. It can adapt to the transformation of old distribution rooms and the coverage of remote stations without complex wiring. The core highlight is the integration of the company’s independently developed edge computing module, which can realize local data filtering, analysis, and abnormal prediction, control the response delay at the millisecond level, and greatly reduce the data transmission pressure of the master station; at the same time, it supports the network disconnection continuous control function. Even if the communication with the master station is interrupted, the edge side can independently complete the real-time monitoring and basic regulation of on-site equipment, ensuring the continuity of O&M.
3.Master station monitoring layer: Build a centralized monitoring platform based on Yuzan Tech’s independent and controllable domestic IoT platform, integrating full-function modules such as data collection, intelligent analysis, visual display, multi-channel early warning, and remote control. The platform is equipped with the company’s exclusively optimized algorithms, supporting multi-source data fusion analysis and trend prediction, and can automatically generate customized daily and monthly reports; it adopts a full Chinese interface and a hierarchical permission management system to adapt to the operating habits of grid O&M personnel. At the same time, it supports algorithm containerized deployment to achieve zero-downtime system iteration and upgrading, opening up the “last mile” for the implementation of intelligent algorithms.
(II) Power Management System
1.Core hardware modules: Deeply integrate Yuzan Tech’s power digital management and control technology, and deploy customized electronic tags, high-sensitivity information collection modules, and intelligent processors. The electronic tags have anti-electromagnetic interference capabilities, adapting to the complex electromagnetic environment of the power grid; the information collection module optimizes and upgrades the ModBus-RTU communication protocol to realize high-speed aggregation and accurate transmission of power supply data, with the collection error controlled within ±0.1%; the intelligent processor has a built-in redundant backup unit to ensure stable operation of the equipment in extreme scenarios, building a solid power supply monitoring line of defense at the hardware level.
2.Intelligent analysis and control: Relying on Yuzan Tech’s core algorithm capabilities, the processor can conduct multi-dimensional in-depth analysis of power supply data, accurately identify potential hazards such as excessive current, unstable voltage, and storage battery aging, with an early warning accuracy rate of over 98%. When abnormalities are detected, the system can automatically determine the fault level through algorithms and trigger hierarchical responses, quickly issue interrupt commands, and link with on-site control modules to implement precise power cuts to avoid the expansion of accidents; for key equipment such as storage batteries, exclusive monitoring algorithms are used to real-time track the single-cell voltage and overall performance, warning of aging and undercharging problems 3-6 months in advance, providing accurate data support for preventive maintenance.
3.System collaborative linkage: The Power Digital Management and Control System and the Power Environment Monitoring System realize data intercommunication. When the power supply system detects abnormalities, it can synchronously trigger functions such as video focusing and access control management of the environment monitoring system to help O&M personnel quickly locate fault points; at the same time, when environmental parameters are abnormal, the power supply system can give priority to ensuring the power supply of key monitoring equipment.
Project Implementation Effects
After the two systems were put into application in multiple distribution rooms and substations of State Grid, an all-round upgrade of the O&M of power facilities was achieved, with the core effects as follows:
1.Significantly improved O&M efficiency: Realized remote centralized monitoring and unattended operation of power facilities. The frequency of manual inspections has been reduced by 70%, the fault response time has been shortened from an average of 2 hours to less than 15 minutes, and the work efficiency of O&M personnel has increased by more than 80%.
2.Strengthened safety guarantee capabilities: The 24/7 monitoring of environmental parameters and power supply status, combined with multi-channel early warning and intelligent linkage control, has effectively avoided equipment failures and safety accidents caused by excessive temperature and humidity, gas leakage, water immersion, power supply overload, etc. The equipment failure rate of the stations covered by the project has decreased by 65%, and no electrical safety accidents have occurred.
3.Remarkably reduced O&M costs: Automated monitoring has reduced the labor cost of manual inspections, and intelligent linkage control has reduced the invalid operation of equipment such as air conditioners and fans, achieving 18% energy saving; at the same time, preventive maintenance has reduced equipment repair and replacement costs, saving over one million yuan in annual O&M costs.
4.Scientific data support for decision-making: The massive environmental and power supply operation data accumulated by the system forms trend reports through the platform’s analysis function, providing accurate data support for the upgrading and transformation of power facilities and the optimization of O&M strategies, and helping State Grid promote the implementation of the “Three Types and Two Networks” construction.
Yuzan Tech partial cases：
State Grid Corporation of China (Xidan)
State Grid Corporation of China Advanced Training Center
State Grid Zhejiang Electric Power Co., Ltd. 1000kV Liandu Substation
State Grid Ningxia Electric Power Co., Ltd. 750kV Tiandushan Substation
Jilin Fengman Power Plant