On April 26th, the fourth quarter of the “Green Intelligent Manufacturing Winning Plan” jointly organized by the International Economic and Technological Cooperation Center of the Ministry of Industry and Information Technology and Schneider Electric officially kicked off. This year’s “Green Intelligent Manufacturing Winning Plan” is driven by industry demand and guided by technological trends, forming a new industry scenario setting of “5+1+4″ under the “dual business” model. It provides a joint innovation platform for small and medium-sized enterprises with technical expertise and development potential, incubating and implementing more joint innovation solutions, continuously activating more diverse industrial scenarios, and promoting high-quality industrial development.

The 14th Five Year Plan period is an important stage for China to transition from an industrial powerhouse to an industrial powerhouse. Accelerating the creation of a digital innovation ecosystem that deeply integrates digital technology with the real economy, scientific research with industry, and the integration and development of large and small enterprises is an important way to enhance industrial competitiveness and development level. In this process, large enterprises should drive and lead small and medium-sized enterprises to release their potential, combine new technologies with new scenarios and new needs, constantly deepen the industrialization process of integration and innovation, and promote the Digital transformation of industrial enterprises to go deep into reality with technology integration and innovation.

At present, a new round of technological revolution and industrial transformation is deepening, and the global industrial structure and layout are deeply adjusted. It is imperative to promote new industrialization and focus on developing the real economy. “Li Yikai, Deputy Director of the International Economic and Technological Cooperation Center of the Ministry of Industry and Information Technology, pointed out, “After three years of exploration, the ‘Green Intelligent Manufacturing Winning Plan’ has achieved positive results in integrating ecological leading technology capabilities, accelerating breakthroughs in key pain points in the industrial scene and other aspects around the needs of low-carbon and Digital transformation. As the winning plan enters the fourth quarter, the next step should rely on the core capabilities of all parties, work together to optimize the industrial ecology, and jointly promote the digital and green transformation of the industry.”

Senior Vice President, Schneider Electric Pang Xingjian, the head of industrial automation business in China, said: Industry is an important battlefield for technological innovation. The innovation model in the industrial field is shifting from individual combat to the integrated development of ecosystems. Schneider Electric has launched the ‘Green Intelligent Manufacturing Win Plan’ through joint production, education, research, and utilization, and established a multi-party cooperation mechanism for technological innovation and implementation. It is precisely to jointly build a green intelligent manufacturing innovation ecosystem, and promote industrial digitization and low-carbon transformation through technological integration and innovation, Jointly moving towards a sustainable future in industry

Since its launch in 2020, the “Green Intelligent Manufacturing Win Win Plan” has attracted more than 350 small and medium-sized enterprises to participate, witnessing the acceleration and growth of nearly 40 enterprises, and ultimately outputting digital solutions covering 20 industrial scenarios. In addition to achieving digital innovation from 0 to 1 for enterprises and customers, it has also completed the replication of some excellent joint innovation solutions from 1 to small-scale, and then to comprehensive marketization promotion.

From exploration leading to deepening promotion, a new “5+1+4″ scenario is released

Technology is rapidly iterating, new scenarios are constantly emerging, and demand is continuously upgrading. To truly implement technology and innovation, it is first necessary to integrate technology with scenarios and requirements. This is also the original intention of Schneider Electric’s “dual business” model – “acceleration camp” and “growth camp”: with “acceleration camp” as the gathering base, it will gather small and medium-sized enterprises with high potential, based on real industrial scenario applications, quickly capture terminal customers and market demands, and provide direction and strategic guidance, technology and resource support, from 0 to 1 joint innovation; Taking the “Growth Camp” as a deepening platform, we will select a complete joint innovation solution that has been recognized by the market and customers from previous PoC achievements, and has application prospects and potential for implementation. We will make targeted improvements and optimizations to promote rapid implementation and replicate and promote it throughout the industry.

Accelerated Camp -5 Major Industrial Scenarios+1 Green Smart Supply Chain Race Track

Predicting urban water supply through artificial intelligence technology and guiding energy-saving pumping in water supply networks: In terms of the integration of AI technology and municipal management, in response to the pain points of the high proportion of energy consumption in the water industry and water supply networks, AI technology is used to develop urban water supply prediction and pumping energy-saving solutions. The pump station is optimized and controlled in the water supply process, achieving a reduction of energy consumption by more than 5% and reducing pump wear and tear under the premise of meeting both water supply volume and pressure standards, Extend the service life of pumps, supporting motors, frequency converters, and other equipment.

Application of digital twin software in logistics projects: In response to the application requirements of digital twin technology in logistics scenarios, a logistics specific EcoStruxure machine expert digital twin (EMET) software model library is constructed that is easy for process engineers, mechanical engineers, and electrical engineers to control. At the same time, digital signage models can be added to simulation scenarios and the functionality of simulation scenarios can be improved.

Optimization of combustion parameters for garbage incinerators: Targeting the application needs of AI technology in the power industry, by accurately identifying and calculating important combustion parameters of garbage incinerators, it achieves over 90% of high-precision working condition practicality and real-time data connection with APC or ACC.

Integrated solution for automated inventory management and control based on IEC61499: In response to the application requirements of low code technology in the logistics industry, the control and management software for automated inventory is developed on the EcoStruxure open automation platform of Schneider Electric based on the IEC61499 standard. The basic functions of WCS and MMS are implemented, ensuring that the canvas menu structure is reasonable, concise, and in line with the operating habits of ordinary users, and the CAT input and output interfaces are clear, Variable naming standards.

Exploration of Industrial Zero Trust: In response to the urgent demand for information security protection in various industrial fields such as processes, mixing, and discretization, zero trust technologies such as software definition boundaries, enhanced identity governance, and micro isolation are used to construct an industrial zero trust protection architecture and scenario applications, achieving moderate, effective, and targeted information security protection for industrial applications.

Application exploration of AIGC in the field of green and smart supply chain: In response to the application needs of AI technology in the field of green and smart supply chain, develop an intelligent auxiliary system that utilizes AI technology to quickly learn, summarize, and summarize private domain data. Use customized intelligent assistants to provide employees with the necessary knowledge and support, while meeting the characteristics of speed, accuracy, customization, and security.

 
At the same time, the “Growth Camp” will focus on the four high potential co creation projects of “virtual maintenance system of key industrial equipment”, “traffic scheduling and warehouse management experts”, “sewage treatment optimization control system”, “clinker petrographic intelligent analysis and quality control system”, integrate into the OEM/metallurgy, municipal, building materials, chemical and other real industrial scenarios, and further optimize, and finally complete the implementation and large-scale replication of the scheme.