China Power's Xin Yuan Zhi Chu (New Source Smart Storage): Open Energy Intelligence Computing Center Leads Intelligent Transformation of the Energy Industry
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China Power's Xin Yuan Zhi Chu (New Source Smart Storage): Open Energy Intelligence Computing Center Leads Intelligent Transformation of the Energy IndustryChina Power's subsidiary, Xin Yuan Zhi Chu, recently announced the successful integration of its independently developed open energy intelligence computing center with multiple domestic large-language models (LLMs), including DeepSeek, Tencent Yuanbao, and Alibaba Tongyi. This marks a new stage in the intelligent transformation of China's energy industry and demonstrates Xin Yuan Zhi Chu's technological responsibility and industry leadership as a state-owned enterprise in implementing the national "dual-carbon" strategy and new energy security mission
China Power's Xin Yuan Zhi Chu (New Source Smart Storage): Open Energy Intelligence Computing Center Leads Intelligent Transformation of the Energy Industry
China Power's subsidiary, Xin Yuan Zhi Chu, recently announced the successful integration of its independently developed open energy intelligence computing center with multiple domestic large-language models (LLMs), including DeepSeek, Tencent Yuanbao, and Alibaba Tongyi. This marks a new stage in the intelligent transformation of China's energy industry and demonstrates Xin Yuan Zhi Chu's technological responsibility and industry leadership as a state-owned enterprise in implementing the national "dual-carbon" strategy and new energy security mission. The intelligence computing center not only builds an AI ecosystem covering natural language processing, multi-modal interaction, and scenario-based decision-making, but also creates the industry's first "domestic large model + vertical scenario" fusion innovation platform, setting a benchmark for state-owned enterprises in the intelligent transformation of the energy industry.
Open Technology Foundation: Leading the Development of a Domestic Ecosystem
Based on the national energy strategy and grounded in technological self-innovation as a state-owned enterprise, Xin Yuan Zhi Chu has built a multi-modal large model collaborative framework, achieving deep adaptation and capability integration of domestic LLM clusters. Through API interfaces, the platform connects natural language processing, knowledge graph reasoning, and scenario decision-making across the entire chain, and builds an open AI ecosystem with a 100% domestic technology stack, filling the gap in intelligent infrastructure in China's energy storage sector.
As a model of technological innovation for state-owned enterprises, Xin Yuan Zhi Chu has pioneered breakthroughs in core technical challenges such as multi-model dynamic load balancing and algorithm co-evolution. The company empowers industry partners with standardized development toolchains, encourages the co-construction of intelligent ecosystems, and promotes the popularization of industry technologies through an open ecosystem model, providing a solid foundation for the digital innovation of the energy storage industry. This open and collaborative approach not only accelerates technological innovation but also promotes the common progress of the entire industry, providing convenient conditions for more enterprises to participate in the intelligent transformation of the energy sector. By openly sharing technological resources, Xin Yuan Zhi Chu effectively lowers the technical barriers, promoting the popularization and application of energy storage technologies.
Six Intelligent Entity Clusters: Core Innovation of New Productive Forces
Upholding the mission of a state-owned enterprise to "serve national strategies and lead industry transformation," Xin Yuan Zhi Chu leverages billions of industry data points and its intelligence computing center to create six intelligent entity technology matrices covering the entire chain of safety, operation, assets, and investment. These intelligent entities reshape industry standards through cutting-edge technologies, with many achievements reaching internationally leading levels, significantly improving the efficiency and safety of the energy storage industry.
1. Electrochemical Safety Monitoring Intelligent Entity: This entity integrates multi-modal deep learning and causal reasoning engines to achieve millisecond-level identification of abnormal battery behavior and over 95% warning accuracy, systematically reducing the risk of thermal runaway and effectively ensuring the safe and stable operation of the energy storage system. The millisecond response speed and high-accuracy warning function provide sufficient time to take safety measures, minimizing the probability of accidents.
2. Power Trading Decision-Making Intelligent Entity: Through deep reinforcement learning and dynamic game algorithms, this entity optimizes charge and discharge strategy combinations, helping enterprises increase operating income by 10%-20%. This not only improves corporate economic benefits but also provides strong support for more efficient resource allocation in the energy industry.
3. Equipment Fault Analysis Intelligent Entity: This entity has built the industry's most comprehensive expert library for equipment faults. Through fault mode recognition and root cause analysis technology, it provides high-value data services such as material performance optimization and reliability verification to upstream equipment manufacturers, promoting the advancement of equipment manufacturing technology.
4. Emergency Firefighting Linkage Intelligent Entity: Integrating edge computing and real-time reasoning technology, this entity has built a proactive defense system with a second-level response, improving accident handling efficiency by 300%. The second-level response speed can quickly react in emergencies, effectively reducing accident losses and improving emergency handling efficiency.
5. Asset Lifecycle Management Intelligent Entity: Based on time series prediction and knowledge graph technology, this entity accurately assesses asset value with an error rate of less than 5%, promoting a 25% increase in asset utilization. Accurate asset assessment and improved utilization help companies better manage assets and improve their return on investment.
6. Multi-Scenario Investment Decision-Making Intelligent Entity: This entity pioneers a fusion algorithm of Monte Carlo simulation and dynamic market prediction, quantifying investment risks and generating optimal return models, providing a scientific basis for investment decisions, reducing investment risks, and improving investment returns.
Ecosystem Value Extension: Mission-Driven Industrial Leap
Relying on the industry's largest energy storage equipment operation database and real-time scene data stream, Xin Yuan Zhi Chu is accelerating the integration of the "equipment-system-industry" data loop. In the future, the company will output industrial-grade data assets such as fault mode libraries and material performance maps to upstream companies through a full ecosystem empowerment plan, helping equipment manufacturers achieve product reliability iteration and core technology breakthroughs. This strategic layout will drive the energy storage industry from point-to-point intelligence to systemic intelligence, building a new ecosystem paradigm of "AI decision-making center + industrial synergy network" and achieving overall upgrading of the energy industry. By sharing data resources, Xin Yuan Zhi Chu effectively promotes the collaborative development of upstream and downstream industries, jointly driving the progress of the energy storage industry.
Xin Yuan Zhi Chu's open energy storage intelligence computing center is not just a technology platform, but an ecosystem. It will continue to support the intelligent transformation of China's energy industry and make greater contributions to achieving the "dual-carbon" goals and energy security. Through continuous innovation and open collaboration, Xin Yuan Zhi Chu will continue to lead the development of the energy storage industry and contribute to building a clean, efficient, and safe energy system. Its exploration in the application of domestic large language models and the intelligent transformation of the energy industry provides valuable experience and reference for other industries, and provides strong support for China's technological innovation and industrial upgrading.
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Tag: Energy China Power Xin Yuan Zhi Chu New Source
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