Recently, the Intelligent Software R&D Basic Platform for Ultra-large Energy Groups, independently developed by Digital Tech Co.,Ltd., passed the achievement appraisal organized by the Chinese Society for Electrical Engineering. The appraisal experts unanimously concluded that the project has reached an internationally leading level overall.

The project closely addresses the core demand for efficiency in software research and development within the energy industry. It innovatively integrates intelligent technology to construct a full-process collaborative R&D system, connecting key stages such as requirement analysis, architecture design, development and testing, deployment, and operations and maintenance. Through a role-based expert intelligent cluster collaboration mechanism, it establishes a new model of fully automated R&D spanning from requirement input to system implementation. The project has achieved breakthroughs in four core technologies: innovative design significantly enhances the platform’s adaptability to heterogeneous scenarios and the efficiency of complex task scheduling; the development of a multi-expert intelligent engine with a reflective self-adaptive review mechanism greatly improves R&D process efficiency and outcome reliability; the establishment of an intelligent interface adaptation system based on the MCP semantic layer effectively strengthens external system integration scalability and multi-intelligence interaction evolution capabilities; and the construction of a dual-level caching and dynamic knowledge indexing architecture optimizes knowledge transfer timeliness and the success rate of complex task execution. Ultimately, this achieves a dual leap in both R&D efficiency and quality, providing core technical support and engineered solutions for the digital transformation of the energy industry.

Currently, the project’s outcomes have been implemented and applied at scale across multiple business segments of China Shenhua. Practical verification demonstrates that it significantly shortens software development cycles, enhances the efficiency of the entire R&D process, lowers the technical threshold for enterprises’ intelligent applications, and strongly promotes the leapfrog transformation of China Shenhua’s software R&D model from experience-driven to data-driven and intelligence-driven. It provides a replicable and scalable practical paradigm for the digital transformation of the energy industry.