DT enables the integration of IT and OT, injecting the soul of “number intelligence” into traditional applications

Over the years, the industry has been committed to promoting the deep integration of OT and IT, achieving hardware and software decoupling, improving the accessibility of OT industrial equipment and data, and optimizing business processes from an overall perspective. However, the direct development of functional technologies such as OT and IT can make traditional applications run some functions successfully, but they do not have the characteristics of digitalization and intelligence. The addition of DT gives the “soul” of digital intelligence to traditional applications, so as to dig deep the value of big data, support intelligent decision-making, and finally realize the comprehensive scheduling and intelligent control of resources, production processes and events.

IS200AEADH4ADA For example, production planning is an important part of the entire manufacturing process. In the face of personalized market needs, factories have more and more orders of various varieties and small batches, coupled with the expansion of the supply chain and the increasingly complex product production process, the production planning and scheduling challenges faced by manufacturing enterprises are becoming more and more prominent. Innovation program of “Integrated intelligent Supply chain planning and scheduling optimization System”, combining advanced planning and scheduling system APS with manufacturing execution system MES, adding AI optimization algorithm of machine learning on the basis of integration of IT and OT, namely DT technology, comprehensively enabling intelligent production of enterprises: When the capacity is insufficient, the system will calculate the capacity gap and realize automatic adjustment; When the plan changes, the system can quickly give the latest plan; When the inventory material is insufficient, the system will give the corresponding material purchase quantity according to the gap… In addition, the system can track the production progress of the whole process from planning to material preparation to production completion, and provide timely warning for orders at risk of delivery delays. This will help enterprises to develop accurate production plans to ensure timely delivery of products.

As a key element of manufacturing, continuous operation ability of industrial equipment is closely related to maintenance strategy. Nowadays, data-driven predictive maintenance has gradually become the mainstream intelligent equipment operation and maintenance method in modern industry. Through real-time monitoring of the operating status of equipment, it can prevent problems before they occur, and plays an important role in application scenarios such as extreme environments and key equipment in processes. In this regard, the Win plan “Predictive Maintenance Consultant PMA solution” is based on the integration of big data +AI technology, and the use of equipment technology + mathematical + mechanism model drive, with DT technology to further promote IT, OT integration, data access, data collection, quality monitoring and so on. By predicting and diagnosing fault types, the scheme can help enterprises reduce the number of unexpected downtime, increase the utilization rate of various equipment such as fans, motors, and inverters, reduce equipment maintenance costs, and enable inspection personnel to achieve cost reduction and efficiency increase.

IS200AEADH4ADA Not only production and operation and maintenance, the integration of DT, IT and OT is also enabling more segmented scenarios. With the development of social economy and the increase of commodity consumption, the output of municipal solid waste has increased rapidly. Compared with traditional methods such as sanitary landfill and high temperature composting, domestic waste incineration power generation with increasingly mature technology and more environmentally friendly process has become one of the most important ways of urban domestic waste treatment in China. However, due to the complex composition and uneven calorific value of waste, the boiler of waste incineration power plant often deviates from the optimal combustion condition. How to ensure the stability of combustion and improve the automation and intelligent control level of boilers has become one of the key factors that directly affect the economic benefits of waste incineration power plants.

The “Waste incineration Power plant combustion parameter optimization solution” combines advanced process control APC algorithm with high-precision visual recognition technology, and empowers OT with DT to realize closed-loop control optimization of key combustion parameters. Specifically, the video is captured by a camera installed near the furnace and sent to an image processing and analysis processor, which then processes the video data and sends the measurement results (fireline position and furnace temperature) to the APC, which in turn optimizes the closed-loop control of the combustion parameters. The scheme can fully adapt to the complex conditions of the waste incineration scene, significantly improve the waste burnout rate, power generation, boiler efficiency and automation level, and achieve the goal of less or even no one on duty.