基于云边协同的火电安全生产管控数字化平台

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“人工智能+”能源,江苏率先探路
Xin Hua Ri Bao· 2025-09-21 20:53
Core Insights - The National Development and Reform Commission and the National Energy Administration have issued implementation opinions to promote the integration of artificial intelligence (AI) and energy, aiming to establish an innovative integration system by 2027 [1] - Jiangsu province is leading in the integration of AI and energy, with initiatives in smart grid management and intelligent operation of new energy stations [1] Group 1: AI Integration in Energy Management - The AI platform developed by Langkun Smart Technology provides a digital management system for power plants, enhancing operational safety and efficiency through cloud-edge collaboration [2] - The platform has been implemented in 12 power plants, generating over 550,000 alerts with an accuracy rate exceeding 90%, leading to a reduction in coal consumption and unplanned outages [2] Group 2: Advanced Charging Solutions - Jiangsu's first "megawatt-level flexible shared supercharging" station has been launched, significantly reducing charging times for electric vehicles [3] - The AI-driven operation system at the charging station can identify various risk scenarios in under 30 seconds, ensuring rapid response and maintenance [3] Group 3: Renewable Energy and Smart Charging Stations - The AI smart control system at the Nanjing Green Energy Station optimizes energy usage by predicting solar output and adjusting charging loads, achieving a solar utilization rate increase from 96.0% to 99.7% [4] - The station's annual power generation exceeds 350,000 kWh, contributing to a significant reduction in carbon emissions [4] Group 4: Regional Initiatives and Policy Support - Various cities in Jiangsu are leveraging their unique resources to foster AI and energy innovation, with Nanjing focusing on AI infrastructure and project investments [5] - Suzhou is providing financial incentives for AI computing power procurement, while Wuxi is promoting a zero-carbon system with rewards for park development [5][6] - Nantong is exploring the use of marine resources for AI and renewable energy integration, while Xuzhou is enhancing manufacturing intelligence as part of its industrial transformation [6]
“央地”协同 在南京鼓楼创造新机遇
Yang Zi Wan Bao Wang· 2025-09-11 15:06
Group 1 - The "Ning Gong Pin Tui" event focused on building a bridge for cooperation between central enterprises and local companies in the smart grid industry, emphasizing resources such as technology, talent, scenarios, and finance [1][2] - The event highlighted the development environment for green low-carbon (smart grid) industries in Gulou District, with central enterprises sharing their development plans and local private companies presenting new technologies and products [2][3] - The event served as a timely opportunity for companies to connect with central enterprises, facilitating business expansion and collaboration in the energy sector [3][4] Group 2 - Gulou District has gathered 15 energy companies and 43 secondary and tertiary companies, with 40 key enterprises in the smart grid sector, aiming to create a hub for green low-carbon (smart grid) industry development [4] - The "Ning Gong Pin Tui" platform has successfully hosted over 100 events this year, covering more than 2,000 companies, focusing on practical and systematic approaches to enhance the integration of the industrial chain [5] - The district plans to establish a regular communication mechanism between central and local enterprises to deepen technical cooperation and talent exchange, thereby enhancing the overall development level of the industry [5]
科技赋能能源保供 南京鼓楼企业朗坤智慧打造“AI+能源”新标杆
Yang Zi Wan Bao Wang· 2025-08-29 12:33
Core Viewpoint - The implementation of a cloud-edge collaborative digital platform for thermal power safety production by Nanjing Gulou Enterprise and Langkun Smart Technology is enhancing the operational efficiency and stability of Guodian Power Development Co., Ltd during the critical summer energy supply period [1][2]. Group 1: Technology and Innovation - The AI platform has successfully prevented an unplanned load drop event by providing timely fault diagnosis and operational suggestions [2]. - The platform employs a "big model + small model" collaborative approach, enhancing operational safety and economic optimization by combining deep analysis with rapid diagnostics [4]. - The platform has achieved a significant reduction in coal consumption by 0.45 grams per kilowatt-hour and a 38% decrease in non-stop occurrences since its launch [4]. Group 2: Organizational Impact - The platform breaks down traditional management barriers in power plants, achieving a digital control goal of "five increases and one decrease" in reliability, operational levels, safety management, technical control, and production cost management while reducing labor intensity [4]. - Langkun Smart Technology is fostering a culture of innovation and AI capability enhancement through monthly competitions and specialized training for all employees [5]. Group 3: Future Development - The platform is evolving towards a "cloud-edge-end integrated" architecture to achieve deeper production automation, allowing for real-time command delivery to equipment [5]. - The success of Langkun Smart Technology exemplifies the ongoing optimization of the innovation ecosystem in the Gulou District, aiming to support technology companies in overcoming key technological challenges [5][6].
AI作“参谋”,3分钟内挽救80万元
Zhong Guo Dian Li Bao· 2025-08-27 09:01
Core Viewpoint - The article discusses the transformation of Guodian Power's production management through the implementation of a cloud-edge collaborative digital platform, enhancing safety and operational efficiency in thermal power generation [1][2][3]. Group 1: Cloud-Edge Collaboration - Guodian Power has developed a digital platform that integrates real-time data from 12 domestic and international power plants, allowing for centralized monitoring and management [2]. - The new management model retains the stability of traditional thermal power systems while introducing flexibility to adapt to the new energy system [2]. - This collaborative approach combines cloud computing for global optimization with edge computing for real-time responses, meeting the dual demands for safety and speed in the energy sector [2][3]. Group 2: Digital Transformation - In August 2023, Guodian Power prioritized digital transformation as its top project, forming a specialized team to create a comprehensive safety management system for thermal power [3]. - The platform features a multi-layered structure with one platform, two levels of control, five responsibility tiers, eight applications, and six warning centers, achieving full-chain digital penetration from headquarters to power plants [3][4]. - The system has integrated over 50,000 intelligent warning models and accumulated 550,000 warning cases, enhancing its predictive capabilities [3][4]. Group 3: Empowerment and Efficiency - The platform not only provides timely alerts but also offers precise handling suggestions by referencing similar equipment failure cases across the company [4]. - This unified management model promotes knowledge sharing and best practices among the 12 regional power plants, transitioning decision-making from experience-driven to data-driven [4][5]. - The platform aims to achieve a "five increases and one decrease" goal, enhancing equipment reliability, operational levels, safety management, technical control, and production cost management while reducing labor intensity [4]. Group 4: AI Integration - The integration of large and small models is a key technological breakthrough, allowing for intelligent decision-making and precise execution [5][6]. - The platform has issued over 550,000 warning messages since its launch, with an accuracy rate exceeding 90%, leading to a reduction in coal consumption and non-stop incidents [7][8]. - The collaboration between large and small models enhances the system's intelligence, enabling proactive maintenance and operational efficiency [6][7]. Group 5: Talent Development and Ecosystem - Guodian Power emphasizes the importance of building a skilled workforce that understands both business and technology to sustain its digital transformation [8][9]. - Regular model competitions and training sessions are held to enhance AI literacy among employees, fostering a culture of innovation [8][9]. - The company aims to evolve its platform towards a fully integrated cloud-edge-end architecture, facilitating rapid decision-making and reducing manual labor [9][10]. Group 6: Industry Impact - Guodian Power's cloud-edge collaborative model is positioned as a replicable solution for digital transformation in the process industry, potentially influencing broader sectors [9][10]. - The company is leading the way in integrating AI with energy production, setting a precedent for new industrial development paths [10].