en.Wedoany.com Reported - At the 2026 China Power Enterprise Digital Intelligence Conference and AI-Empowered New Power System Construction Innovation Forum, Zhongneng Shibei Technology Co., Ltd. released a full-domain industrial AI digital employee solution for power generation and grid enterprises. Li Daquan, the company's solution director, pointed out in his speech that the digital intelligence transformation of the power sector faces four major challenges: data silos, insufficient adaptation of general large models to industrial sites, lack of explainability in AI applications, and difficulty in quantifying the value of investment. The industry needs to move from point-based AI assistance to full-domain AI-driven operations.
Zhongneng Shibei has built the technical foundation for digital employees based on a fully independently controllable domestic industrial intelligent technology system. This system includes the CyberwIIOS industrial intelligent operating system, which breaks down data barriers across multiple business systems in power plants; the proprietary SDKIP industrial intelligence methodology, covering everything from signal digitization to intent concretization; and the CyberwIME industrial model engine, which integrates industrial knowledge graphs with power-specific large models. The supporting product matrix includes CyberwPHM for fault prediction and health management, CyberwEAM for enterprise asset management, and CyberwICS for industrial control systems, complemented by a four-tier progressive XaaS cloud service.
The company has introduced an overall architecture of "1 Cloud Intelligence Base + N Types of Business Agents + 3 Layers of Digital Employee Capabilities." The three types of digital employees are: advisory digital employees for management, which integrate full-domain data for analysis and strategy simulation; execution-oriented digital employees for production sites, which enable round-the-clock equipment monitoring and handling; and assistant digital employees for frontline personnel, providing comprehensive support such as task reminders and intelligent data queries. This solution adopts a "ontology model + knowledge graph + agent application" three-in-one technical architecture, equipping digital employees with logical reasoning capabilities to achieve a full process of perception, analysis, handling, and review.
Currently, this solution has been applied in hydropower, thermal power, wind power, photovoltaic, energy storage, power grids, and integrated energy fields, yielding replicable results in scenarios such as cascade basin coordinated dispatch, predictive maintenance of wind turbines, new energy power optimization, and substation remote reduced-attendance operation. Founded in 2005, Zhongneng Shibei is a national-level specialized and new "Little Giant" key enterprise and a pilot demonstration unit for the Ministry of Industry and Information Technology's Industrial Internet initiative. It has long been deeply engaged in the field of industrial intelligence, and its independently developed Shibei brand products empower asset-intensive enterprises through the "Shibei+" model.
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