Smart power plants enable intelligent control of the power generation process, encompassing automatic prediction, decision-making, and self-evolution. By collecting real-time data on production and operational risks, they leverage artificial intelligence algorithms and models to assess risks and generate automated solutions.
These plants aim to build modern facilities that are efficient, energy-saving, green, environmentally friendly, safe, and reliable. They implement end-to-end detection and alarm mechanisms—from monitoring pollutant levels in coal to real-time combustion tracking—with all data uploaded and publicly accessible, ensuring transparent emission reporting.
Smart power plants are designed with integrated intelligent capabilities, providing managers with timely access to historical and real-time data while forecasting future trends to guide operational strategies.
Through the construction of a big data integration platform, new production and business operations are established, breaking down information silos and enabling seamless coordination and efficiency between production, business processes, and internal organizations (headquarters and sites). This creates a novel smart power management model.
Using the platform, smart power plants adopt a hybrid model of virtual "centers" and physical organizations, along with digital transformation frameworks. Six key centers are established—Standard System, Production Monitoring and Scheduling, Safety Production Early Warning, Comprehensive Planning, Performance Evaluation, and Decision Support—to facilitate centralized energy management and large-scale development.
Smart power plants enable intelligent equipment O&M, including real-time condition monitoring, fault diagnosis and early warning, and smart inspection and maintenance. IoT technology enables real-time data collection and transmission from equipment, providing O&M personnel (maintenance staff) with accurate status information.
By applying big data and AI, in-depth analysis of equipment data predicts lifecycle patterns and potential failure points, offering scientific foundations for preventive maintenance.
Smart power plants provide scientific support for enterprise decisions through big data analysis and AI. By mining and analyzing vast datasets, they uncover correlations and patterns to inform strategic planning, production scheduling, marketing, and other critical areas.
They also feature intelligent early warning and emergency response systems. When equipment malfunctions or anomalies occur, automated alerts trigger immediate development of emergency plans, ensuring safe and stable operations.
Smart power plants can offer users smarter and more convenient services. Through the Internet of Things (IoT) and big data technologies, real-time monitoring and analysis of users' electricity consumption data can be achieved, providing users with personalized electricity usage suggestions and energy-saving solutions.
By engaging in two-way communication with users and promptly addressing their needs and feedback, these plants enhance user satisfaction and loyalty.
