(一)智能制造装备创新

　　1.定义：

　　通过集成先进的信息技术、智能技术和制造技术，如：应用物联网、云计算、大数据、人工智能和机器学习等技术，对传统制造装备进行升级和改造，使其具备感知、分析、推理、智能控制、自主决策和学习、智能调优等智能化能力的套系方案或应用场景创新。包含但不限于以下方向：

　　·应用大数据技术，应用各类型算法模型，预测制造环节状态，为制造活动提供优化和决策支持;对数据分析模型实时优化，实现基于模型的精准执行。

　　·智能装备应具有预测性维护功能;具备远程监测和诊断能力，可实现故障远程修复;实时运行参数与装备三维模型集成，实现装备与模型间的信息实时互联;实现基于工业数据分析的自适应、自优化、自控制等，并与其他系统实时数据分享及联动。

　　·基于人工智能、大数据等技术，实现装备加工过程非预见性异常的智能调整。

　　·采用机器学习、神经网络等，实现装备运行模型的自学习、自优化。

　　2.具体要求：

　　从科技水平、经济效益、创新对提高竞争能力的作用、支撑产业长期发展的作用和影响四个维度进行阐述。套系方案或应用场景应具有一定新颖性或者独创性、创造性，并满足下列条件：

　　·成果应用后具有实用性，能够为工业企业带来明显的经济效益或社会效益提升。

　　·未完全商业化的装备创新方案，应具备市场应用前景。

　　·参赛项目应具有原创性，不侵犯他人知识产权。

　　(二)软件系统和平台创新

　　1.定义：

　　面向制造领域，对生产制造系统的系统结构、系统流程以及系统与环境之间的关系进行动态的、全面的组织过程，通过一系列系统集合或软件集合，在平台上实现系统间的交互，从而促进单个软件系统和平台的功能不断升级和优化。如：针对制造业供应链管理的云协同平台、生产过程实时优化软件工具包等。不仅包括对现有软件系统和平台的改进，也涉及引入新的技术、工具或方法，以达到提升系统的性能和用户体验的解决方案创新。包含但不限于以下方向：

　　·提供创新资源：包括专利、科技文献、人才、技术等，为企业提供创新资源支持。

　　·提供创新工具：如创新方案设计、软件开发工具等，帮助企业快速实现创新想法。

　　·提供创新咨询服务：包括创新战略制定、创新组织架构设计、创新流程优化等，帮助企业建立创新思维模式和决策机制，提高创新能力和成功率。

　　·建立创新生态系统平台：包括合作伙伴关系、创新生态建设等，促进企业之间的合作和创新。

　　2.具体要求

　　：从创造性及研发难度、技术水平、科技成果、支撑产业长期发展的作用和影响四个维度进行阐述。应具有一定新颖性或者独创性、创造性，并满足下列条件：

　　·成果应用后具有实用性，能够为工业企业带来明显的经济效益或社会效益提升。

　　·未完全商业化的软件系统和平台创新方案，应具备市场应用前景。

　　·参赛项目应具有原创性，不侵犯他人知识产权。

　　(三)系统集成解决方案创新

　　1.定义：

　　将各种独立的信息系统、应用程序和技术平台进行整合创新来满足特定需求，实现了系统层级间(设备层、单元层、车间层、企业层和协同层)的数据共享、流程自动化和业务智能化、跨企业间业务协同等方面的综合解决方案创新。包含但不限于以下方向：

　　·通过新工艺、新装备、新软件、新流程、新技术(智能化控制、机器人、机器视觉、数据库等)的集成和融合，形成具有行业特色的产线/车间/工厂等级别的智能制造系统集成解决方案。

　　·用数字化方法设计智能工厂和智能产线，通过建立工厂/产线的3D数字双胞胎(三维数字孪生系统)，进行虚拟调试、仿真与验证，并实现虚实联动。

　　·采用先进的集成技术和工具，如：区块链、云集成平台、API集成等，实现跨系统、跨企业间的数据共享、流程自动化和业务智能化、跨企业间业务协同等方面的综合解决方案。

　　2.具体要求

　　：从创新性及技术水平、前瞻性、自主知识产权、支撑产业长期发展的作用和影响四个维度进行阐述。应具有一定新颖性或者独创性、创造性，并满足下列条件：

　　·成果应用后具有实用性，能够为工业企业带来明显的经济效益或社会效益提升。

　　·未完全商业化的解决方案，应具备市场应用前景。

　　·参赛项目应具有原创性，不侵犯他人知识产权。

　　I.Intellectual Manufacturing Track

　　1. Intelligent Manufacturing Equipment Innovation

　　a.Definition: A series of solutions or innovative application scenarios that upgrade and transform traditional manufacturing equipment by integrating advanced information technology, intelligent technology, and manufacturing technology, such as applying Internet of Things, cloud computing, big data, artificial intelligence, and machine learning technologies, to endow it with intelligent capabilities such as perception, analysis, reasoning, intelligent control, autonomous decision-making and learning, and intelligent optimization. Including but not limited to the following directions:

　　By applying big data technology and various types of algorithm models, the status of manufacturing processes can be predicted, providing optimization and decision support for manufacturing activities. Make real-time optimization of the data analysis model to achieve precise execution based on the model.

　　Intelligent equipment should have predictive maintenance functions and remote monitoring and diagnosis capabilities, and be able to achieve remote fault repair. Real-time operation parameters are integrated with the 3D model of the equipment to achieve real-time information interconnection between the equipment and the model. Realize self-adaptation, self-optimization, self-control and other functions based on industrial data analysis, and share and interact with other systems in real time.

　　Intelligent adjustment of non-predictable anomalies in the equipment processing process is achieved based on technologies such as artificial intelligence and big data.

　　By adopting machine learning, neural networks, etc., the self-learning and self-optimization of the equipment operation model are achieved.

　　b.Specific Requirements: Elaborates from four dimensions: technological level, economic benefits, the role of innovation in enhancing competitiveness, and the role and influence in supporting the long-term development of industries. The suite solution or application scenario should possess a certain degree of novelty, originality or creativity, and meet the following conditions:

　　The application of the achievements is practical and can bring significant economic or social benefits to industrial enterprises.

　　Innovative equipment solutions that have not been fully commercialized should have market application prospects.

　　The participating projects should be original and not infringe upon others' intellectual property rights.

　　2. Software Systems & Platform Innovation

　　a. Definition: For the manufacturing field, a dynamic and comprehensive organization process of the system structure, system process, and the relationship between the system and the environment of the production and manufacturing system is carried out. Through a series of system collections or software collections, the interaction between systems is realized on the platform, thereby promoting the continuous upgrading and optimization of the functions of individual software systems and platforms. For example: cloud collaboration platforms for manufacturing supply chain management, software toolkits for real-time optimization of production processes, etc. It not only involves the improvement of existing software systems and platforms, but also the introduction of new technologies, tools or methods to achieve solution innovation that enhances system performance and user experience. Including but not limited to the following directions:

　　Provide innovation resources: including patents, scientific and technological literature, talents, technologies, etc., to provide innovation resource support for enterprises.

　　Provide innovative tools  : such as innovative solution design, software development tools, etc., to help enterprises quickly realize innovative ideas.

　　Provide innovation consulting services: it includes the formulation of innovation strategies, the design of innovation organizational structures, the optimization of innovation processes, etc., to help enterprises establish innovative thinking patterns and decision-making mechanisms, and enhance innovation capabilities and success rates.

　　Establish an innovation ecosystem platform: it includes partnerships, innovation ecosystem construction, etc., to promote cooperation and innovation among enterprises.

　　b. Specific Requirements: Elaborate from four dimensions: creativity, R&D difficulty, technological level, scientific and technological achievements, and the role and influence in supporting the long-term development of the industry. It should have a certain degree of novelty or originality and creativity, and meet the following conditions:

　　The application of the achievements is practical and can bring significant economic or social benefits to industrial enterprises.

　　Innovative equipment solutions that have not been fully commercialized should have market application prospects.

　　The participating projects should be original and not infringe upon others' intellectual property rights.

　　3. System Integration Solutions Innovation

　　a. Definition: By integrating and innovating various independent information systems, applications and technical platforms to meet specific demands, comprehensive solution innovation has been achieved in aspects such as data sharing, process automation and business intelligence, and cross-enterprise business collaboration among system levels (device level, unit level, workshop level, enterprise level and collaboration level). Including but not limited to the following directions:

　　Through the integration and fusion of new processes, new equipment, new software, new procedures, and new technologies (such as intelligent control, robots, machine vision, databases, etc.), an industry-specific intelligent manufacturing system integration solution at the production line/workshop/factory level is formed.

　　Design smart factories and production lines with digital methods. By establishing 3D digital twins (three-dimensional digital twin systems) for factories/production lines, virtual debugging, simulation and verification are carried out, and the interaction between the virtual and the real is achieved.

　　Adopt advanced integration technologies and tools , such as blockchain, cloud integration platforms, API integration, etc., to achieve comprehensive solutions in aspects like data sharing across systems and enterprises, process automation and business intelligence, and business collaboration among enterprises.

　　b. Specific Requirements: Elaborate from four dimensions: innovation and technological level, forward-looking perspective, independent intellectual property rights, and the role and influence in supporting the long-term development of the industry. It should have a certain degree of novelty, originality and creativity, and meet the following conditions:

　　The application of the achievements is practical and can bring significant economic or social benefits to industrial enterprises.

　　Innovative equipment solutions that have not been fully commercialized should have market application prospects.

　　The participating projects should be original and not infringe upon others' intellectual property rights.