(一)工业互联网与数字化车间优化

　　1.定义：

　　通过工业互联网技术实现数字化车间的智能化、自动化和高效化运行，提升生产效率和产品质量。本赛道特别面向全球征集数字化创新创意项目，旨在挖掘具有前瞻性和创新性的数字化车间解决方案。包括但不限于以下创新方向：

　　·利用5G、物联网、大数据、网络安全、人工智能技术，实现数字化车间的实时监控与优化。

　　·通过数字化双胞胎技术，对生产过程进行虚拟仿真与验证，既可以离线仿真所有生产流程，也可实时动画显示现场设备的运行状态和订单数据，提高生产效率和产品质量。

　　·开发面向数字化车间的智能调度系统，实现生产资源的优化配置。

　　2.具体要求：

　　从创新性及技术水平、生产效率提升、产品质量保障及全球影响力四个维度进行阐述。参赛项目应具有显著的创新性和前瞻性，并已在全球范围内取得实际应用和良好经济效益。同时需满足以下条件：

　　·成果应用后显著提升数字化车间的生产效率和产品质量。

　　·成果应用后能够为工业企业带来明显的经济效益或社会效益提升。

　　·成果取得国内领先的技术突破，具有自主知识产权5项及以上(已授权的实用新型专利、版权或已受理的发明专利)。

　　(二)工业互联网网络运维

　　1.定义：

　　针对工业设备网络的数据采集、监控、优化及故障预测等方面的创新解决方案。参赛项目应聚焦于数据采集技术的创新应用，以及工业设备网络的高效运维策略。包含但不限于以下方向：

　　·数据采集技术创新：利用先进的物联网技术和传感器，实现对工业设备实时、准确的数据采集;开发高效的数据处理算法，对采集到的数据进行清洗、整合和分析，为设备监控和运维提供有力支持。

　　·工业设备网络监控与优化：构建基于云计算或边缘计算的网络监控平台，实现对工业设备网络状态的实时监控和预警;采用人工智能和机器学习技术，对网络数据进行智能分析，提前预测并解决潜在的网络故障;优化网络拓扑结构，提高数据传输效率和可靠性，降低网络延迟和丢包率。

　　·故障预测与快速响应：利用大数据分析技术，建立设备故障预测模型，实现对设备故障的提前预警和快速定位;开发智能运维工具，提供自动化的故障处理流程，降低运维人员的工作负担;建立应急响应机制，确保在网络故障发生时能够迅速恢复网络运行，减少生产中断时间。

　　2.具体要求：

　　参赛成果应体现创新性、实用性和经济性，从数据采集技术的先进性、网络运维的智能化程度、故障预测的准确率以及实际应用效果等方面进行综合评估。参赛作品需详细阐述其技术方案、实施步骤、预期效果以及实际应用案例。同时，参赛成果还需满足以下条件：

　　·成果应用后应显著提升工业设备网络的运维效率，降低运维成本。

　　·成果需在技术上取得国内领先的突破。

　　(三)工业智能体应用开发创新

　　1.定义：

　　以大模型为基础，基于智能体开发平台，开发出具有实际应用价值的工业智能体。推动工业智能体技术的创新和应用，提升工业自动化和智能化水平。包括但不限于以下方向：

　　·知识库应用：需充分利用平台提供的知识库，包括但不限于工业数据、算法模型、行业最佳实践等，以确保智能体的决策和执行基于可靠的数据和知识。

　　·工具集成：需展示如何将平台提供的工具集成到智能体中，以实现特定的功能和流程。

　　·工作流设计：需设计合理的工作流，确保智能体能够按照既定的逻辑和顺序执行任务。

　　2.具体要求：

　　参赛作品需结合具体的工业应用场景，如生产监控、质量控制、设备维护、供应链管理等，开发出具有实际价值的智能体，同时符合以下条件：

　　·智能体应能够解决实际问题，提升生产效率，降低成本，或改善产品质量。

　　·智能体应具有创新性，能够展示智能体技术的新应用或新解决方案。

　　·智能体应具有实用性，能够为工业企业带来明显的经济效益或社会效益提升。

　　 Industrial Internet Track

　　1. Optimization of Industrial Internet and Digital Workshop

　　a. Definition: Through industrial Internet technology, the intelligent, automated and efficient operation of digital workshops can be achieved, enhancing production efficiency and product quality. This track specifically solicits digital innovation and creativity projects from around the world, aiming to discover forward-looking and innovative digital workshop solutions. Including but not limited to the following innovative directions:

　　Through 5G, Internet of Things, big data, cyber security and AI technologies, real-time monitoring and optimization of digital workshops can be achieved.

　　Through digital twin technology, the production process can be virtually simulated and verified. It can not only simulate all production processes offline but also display the operation status of on-site equipment and order data in real time through animation, thereby enhancing production efficiency and product quality.

　　Develop an intelligent dispatching system for digital workshops to achieve the optimal allocation of production resources.

　　b. Specific Requirements: Elaborated from four dimensions: innovation and technological level, improvement of production efficiency, quality assurance of products, and global influence. The participating projects should be highly innovative and forward-looking, and have achieved practical application and good economic benefits on a global scale. At the same time, the following conditions must be met

　　The application of the achievements has significantly enhanced the production efficiency and product quality of the digital workshop.

　　The application of the achievements can bring obvious economic or social benefits to industrial enterprises.

　　The achievements have made leading technological breakthroughs in China and possess five or more independent intellectual property rights (including authorized utility model patents, Copyrights or invention patents under review).

　　2. Industrial Internet Operation

　　a. Definition: Innovative solutions for data collection, monitoring, optimization and fault prediction of industrial equipment networks. The participating projects should focus on the innovative application of data collection technology and efficient operation and maintenance strategies for industrial equipment networks. Including but not limited to the following directions:

　　Innovation in data collection technology: Use advanced Internet of Things (IoT) technology and sensors to achieve real-time and accurate data collection of industrial equipment. Develop efficient data processing algorithms to clean, integrate and analyze the collected data, providing strong support for equipment monitoring and operation and maintenance.

　　Industrial equipment network monitoring and optimization: Build a network monitoring platform based on cloud computing or edge computing to achieve real-time monitoring and early warning of the network status of industrial equipment. By applying artificial intelligence and machine learning technologies, intelligent analysis of network data is conducted to predict and resolve potential network failures in advance. Optimize the network topology structure, enhance the efficiency and reliability of data transmission, and reduce network latency and packet loss rate.

　　Fault prediction and rapid response: Use big data analysis technology to establish equipment fault prediction models, achieving early warning and rapid location of equipment faults. Develop intelligent operation and maintenance tools, provide automated fault handling processes, and reduce the workload of operation and maintenance personnel. Establish an emergency response mechanism to ensure that network operation can be quickly restored in the event of a network failure and reduce production interruption time.

　　b. Specific Requirements: The entries should demonstrate innovation, practicality and economy. A comprehensive assessment should be conducted from aspects such as the advancement of data collection technology, the intelligence level of network operation and maintenance, the accuracy of fault prediction, and the practical application effect. Entries should provide detailed explanations of their technical solutions, implementation steps, expected effects and practical application cases. At the same time, the competition results must also meet the following conditions:

　　After the application of the achievements, the operation and maintenance efficiency of the industrial equipment network should be significantly improved and the operation and maintenance costs should be reduced.

　　The achievements need to make breakthroughs that are leading domestically in technology

　　3. Development & Innovation of Industrial Agent Applications

　　a. Definition: Develop industrial intelligent agents with practical application value on the basis of large models and the intelligent agent development platform. Promote the innovation and application of industrial agent technology to enhance the development of industrial automation and intelligence. Including but not limited to the following directions:

　　Knowledge base application: It is necessary to fully utilize the knowledge base provided by the platform, including but not limited to industrial data, algorithm models, industry best practices, etc., to ensure that the decision-making and execution of the agent are based on reliable data and knowledge.

　　Tool Integration: It is necessary to demonstrate how to integrate the tools provided by the platform into the agent to achieve specific functions and processes.

　　Workflow design: It is necessary to design a reasonable workflow to ensure that the agent can perform tasks in accordance with the established logic and sequence.

　　a. Specific Requirements: Entries should be developed into intelligent agents with practical value in combination with specific industrial application scenarios, such as production monitoring, quality control, equipment maintenance, supply chain management, etc. At the same time, entries should meet the following conditions:

　　The agent should be capable of solving practical problems, enhancing production efficiency, reducing costs, or improving product quality.

　　The agent should be innovative and capable of demonstrating new applications or solutions of agent technology.

　　The agent should be practical and capable of bringing significant economic or social benefits to industrial enterprises.