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Advancing AI Models in Energy and Power Applications

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In a significant development for the energy and power sectors in China, Zhongneng Shibei has launched its cutting-edge industrial model product, CyberwILM, which has seamlessly integrated with two other platforms, DeepSeek-V3 and DeepSeek-R1. This integration provides a robust foundation for enhanced smart services, specifically tailored to the most critical operational aspects of the energy sector, including infrastructure engineering, production management, and enterprise operations. The result is an advanced level of intelligence, enabling client companies to leverage more innovative and adaptable AI-driven applications and services through the CyberwILM platform.

CyberwILM stands at the forefront of artificial intelligence, emerging as a pivotal force in transforming the operational landscape of the energy and power industries. Liu Yong, co-founder and CTO of Zhongneng Shibei, emphasized the groundbreaking capabilities of DeepSeek, a domestically developed large language model, particularly its superior natural language processing skills. This model has distinguished itself across various fields with its impressive logical reasoning abilities and cost-effectiveness, which are crucial for the targeted use in industrial verticals.

By aligning CyberwILM closely with the DeepSeek framework, a new synergy emerges, fostering advancements in AI applications tailored for the energy sector. The collaborative efforts symbolize a notable "Made in China" achievement in industrial intelligence, showcasing a formidable capacity for self-governance and independence in technological innovation. This partnership not only equips industrial enterprises with tangible benefits but also ensures that technology is both visible and effectively applied in practical situations.

Moreover, the integration is mutually beneficial. DeepSeek taps into the wealth of operational data and practical insights provided by Zhongneng Shibei's expertise in energy digitization. This cooperation allows CyberwILM to exploit high-quality datasets that meet the rigorous demands associated with industrial applications, which, in return, catalyzes the rapid evolution of the DeepSeek model itself.

Liu Yong noted that CyberwILM's open architecture facilitates integration with a variety of mainstream models as well as industry-specific models, particularly those that operate within the energy sector. The incorporation of DeepSeek into CyberwILM establishes it as a recommended solution within a broader application system for users, empowering them to select the model that best suits their unique operational contexts and requirements.

Furthermore, as an advocate for the AI plus industrial framework, Zhongneng Shibei has committed to maintaining a full-stack, self-sufficient technological pathway whilst cultivating its proprietary AI large model expertise. Post-integration, the CyberwILM product is anticipated to deliver robust capabilities across an array of applications, significantly reducing deployment costs while enhancing functionality and intelligent operational support for enterprises in the power generation sector. The company has already provided tailored large models and intelligent applications for various energy enterprises, illustrating its influence in the market.

From a commercial perspective, CyberwILM has consistently led the industry by bridging advanced technology applications with the intricate demands of energy enterprises. Several leading companies in the power sector are already benefiting from these innovations. In a rapidly evolving technological landscape, traditional energy companies are increasingly seeking digital transformations to elevate their operational efficiencies and management practices. This shift is epitomized by a leading hydropower firm that has partnered with Zhongneng Shibei. By employing the state-of-the-art CyberwILM technology, the firm has successfully developed intelligent inspection and operational models, which mark a substantial leap toward cultivating 'smart power plants'. This achievement underscores the profound impact of AI technology within the hydropower realm.

At this hydropower enterprise, the intelligent inspection model has demonstrated exceptional capabilities. By utilizing multi-source data for real-time analysis of equipment conditions and environmental factors, it can accurately schedule inspection tasks. For instance, the model assesses the importance and failure rates of equipment across different zones, thereby optimizing inspection priorities and intervals to ensure timely monitoring of pivotal assets.

The intelligent inspection model further coordinates with production area cameras, utilizing over 30 AI-driven visual algorithms to conduct automation of comprehensive inspections. Devices are strategically placed throughout the plant, allowing rapid identification of anomalies, such as overheating, loose components, or liquid leaks. If abnormalities are detected, the system issues immediate alarms and logs relevant data and imagery. Additionally, the model provides business personnel with fast access to inspection procedures, results, and warning images via conversational interfaces. This allows staff to obtain needed information through simple voice commands, significantly enhancing overall work efficiency by eliminating the need to sift through cumbersome documentation and datasets. The model autonomously analyzes and synthesizes inspection data, generating comprehensive reports that lend vital support for equipment maintenance and management decisions, ultimately reducing the human investment required for the inspection process.

The intelligent operational model plays an equally pivotal role, consolidating data from power generation, transmission, and transformation segments. By employing big data analytics and optimization algorithms, it achieves holistic monitoring and intelligent optimization of power plant operations. During the power generation phase, the model dynamically adjusts turbine parameters based on real-time data such as water levels, flow rates, and load conditions, ensuring optimal generation efficiency. In the transmission and transformation stages, it continuously monitors key metrics like voltage, current, and power factor in real-time, swiftly identifying potential safety risks and executing timely remedial actions to guarantee safe and stable power delivery.

The construction of these dual models is indicative of a significant upgrade towards intelligent operations at the hydropower enterprise, enhancing equipment reliability and safety, minimizing operational costs, and providing valuable models for the digital transformation across the hydropower industry. As AI technology continues to advance and integrate, smart power plants are poised to play a more substantial role in the evolving energy landscape.

Looking ahead, with the backing of the CyberwILM industrial model product and a series of intelligent application solutions, Zhongneng Shibei aims to drive successful digital transformations in a broader range of energy enterprises, ensuring that AI contributes meaningful value to intelligent operations across the sector.

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