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Energy station equipment types are numerous, and distribution lines are complex. The lack of automated equipment monitoring systems and environmental online monitoring systems makes it difficult to control equipment and operating environment conditions in a timely manner, making it challenging to ensure safety and reliability.
Traditional manual inspection and data recording cannot monitor the comprehensive and detailed energy consumption and carbon emissions data of energy stations, making it difficult to conduct quantitative analysis and diagnosis. It fails to support energy station efficiency optimization, energy saving, and carbon reduction.
New energy power generation is affected by external environmental factors, leading to instability and intermittency in output power. The lack of a distributed energy monitoring and control system impacts the safe and stable operation of the grid.
Disconnector operations, power outage maintenance, station room access, and other O&M activities in energy stations rely on human experience, lacking mandatory safety measures and scientific management methods, making it prone to unsafe operations or misoperations.
The comprehensive energy O&M system for industrial enterprises works collaboratively from both the energy supply and consumption sides. It achieves comprehensive energy dispatching of various distributed energy stations in industrial parks, enabling intelligent operation, monitoring, maintenance, complementarity, optimization, coordinated management, and control across the entire process and life cycle of energy generation (production), supply (transmission), transformation (conversion), distribution (allocation), and consumption (utilization). This supports industrial parks in taking the lead in achieving "carbon peaking and carbon neutrality."
Distributed energy centralized monitoring
Integrates four endpoints—source, grid, load, and storage, connects energy devices such as electricity, wind, solar, storage, charging, cooling, heating, steam, and gas, collects information, controls status, and realizes integrated energy monitoring and control for the campus.
Intelligent inspection management
Using inspection point identification tags, the system supports manual inspection management via a mobile app and integrates with drones, robots, and video systems for intelligent online inspections of edge devices and systems, achieving system integration and business fusion.
Operation process safety management and control
Safety management/locking/isolation during O&M processes includes operation tickets, work tickets, intelligent anti-misoperation, maintenance locking, energy isolation, personnel positioning, intelligent grounding, and safety tool management.
Intelligent lock control and safety
The system uses intelligent locks for access control and integrates with the safety facilities of various energy stations, achieving intelligent safety system integration and business fusion.
Online monitoring of equipment environment
The temperature, partial discharge, leakage, pressure, and other conditions of energy equipment, as well as the environments of various stations and pipe corridors in energy production, transmission and distribution, storage, transformation, and consumption areas, are monitored through video surveillance and intelligent analysis. Additionally, AI-driven diagnostics and analysis are used for status monitoring.
Operational statistics, analysis, and evaluation
Provides intelligent diagnosis and hidden risk warnings for energy equipment status and system stability and safety; Simulates operations optimization, plans technical upgrades, and evaluates management improvement potential, generating strategy recommendations.
Standardized closed-loop O&M management
It generates O&M strategies and plans through diagnostic analysis, tracks work orders, manages processes and safety, and updates equipment status and drawings, creating a closed-loop system for feedback and tracking.
Energy efficiency and carbon emission analysis
Provides interactive energy efficiency statistics and analysis;Gathers information on comprehensive energy production, operation, and consumption in the campus, as well as energy carbon emission data and compliance data;Performs predictive analysis on the carbon neutrality process by using big data analysis technology.
The intelligent energy O&M control system is primarily designed for supply-side energy users, including photovoltaic stations, wind turbines, energy storage stations, charging stations, integrated energy stations, and multi-energy integration stations. It facilitates intelligent O&M and monitoring across these scenarios, enabling intelligent energy O&M on the regional energy production and supply side.
The campus energy efficiency management system utilizes digital IoT and other intelligent power technologies to provide comprehensive monitoring and management of power distribution, distributed energy equipment, personnel, and environments for users such as enterprises, factories, hospitals, campuses, and buildings. It enables operational monitoring, energy efficiency management, intelligent O&M energy coordination, transfer supply operations, and full lifecycle management of equipment assets. The system also meets the requirements of government and power regulatory authorities for online energy consumption monitoring and demand-side management, contributing to the goals of "carbon peaking and carbon neutrality."
The system collects, identifies, monitors and controls the status information of infrastructure, environment, buildings, safety and other aspects of the campus through the perception and control of equipment and the IoT sensor network. Integrate and interactively manage video surveillance, access control, intelligent lighting, and intrusion safety through the three-dimensional IBMS platform. By establishing end-to-end integration of spatiotemporal access and business/process permissions, the system enables intelligent interaction and control between people, between people and objects, and between objects in specific scenarios, which enhances campus management efficiency and improves the overall environmental experience.
The industrial enterprise power distribution and O&M control system adopts intelligent power technologies such as digital IoT to provide comprehensive monitoring and management of the user-side power distribution equipment, personnel, and environment. It enables operational monitoring, energy efficiency management, intelligent O&M, sub-supply operation, and full lifecycle management of equipment assets. Additionally, it meets the requirements of government and power regulatory authorities for online energy consumption monitoring and demand-side management for energy users.
The solution utilizes intelligent microgrid coordination control devices, integrating renewable energy equipment such as solar, energy storage, and charging systems, as well as various intelligent load devices or systems. It enables coordinated and optimized operation, along with safe and stable control of distributed power sources, energy storage, and loads. This ensures the microgrid remains balanced, stable, and operates efficiently and economically, and facilitates large-scale integration and utilization of distributed renewable energy, thereby contributing to the goals of "carbon peaking and carbon neutrality."