On January 29, the Ministry of Industry and Information Technology released the “Industrialization and Integration of Advanced Materials Industry (2015-2018)â€, which will further promote the use of petrochemicals, iron and steel, non-ferrous metals, building materials, gold, and rare earths. Fusion.
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In order to speed up the process of the integration of the raw materials industry in China, the "plan" put forward six projects to comprehensively deepen the integration of the raw material industry. Among them, the smart factory has become the biggest bright spot, which will help the non-ferrous industry to fully deepen the integration of the two. According to the "plan" requirements, by the end of 2018, cultivate and build 15 to 20 benchmarking smart factories, the penetration rate of digital design tools for large and medium-sized raw material enterprises exceeds 85%, the numerical control rate of key process exceeds 80%, and the rate of advanced process control investment exceeds 60%, 5,000 robots in key positions were promoted.
The Nonferrous Metals Smart Factory Demonstration Project “Plan†proposes to strengthen the research and design of professional intelligent factory software, and carry out intelligent application around six aspects including production control, equipment management, safety and environmental protection, energy management, supply chain management, and auxiliary decision-making. In the non-ferrous industry, three to four advanced companies in the aluminum and copper industries are selected to establish a production information service cloud architecture based on big data and industrial networks, and to form data and computing support capabilities for information, knowledge, and intelligent decision-making. Intelligent Internet of Things tracked to realize identification, traceability and composition of important materials, develop highly efficient energy-saving control technology based on advanced production process conditions, establish a three-dimensional visual simulation system for production process, and finally realize intelligent control, decision-making and management of production processes And services, to establish the entire process of energy efficiency optimization of intelligent production and management decision-making system.
The key project robot replacement project encourages robot R&D units and raw material companies to work together to develop and apply a number of special industrial robots. By 2018, it will cumulatively add 5,000 new robot applications. In industrial furnaces, loading and loading of vehicles and other hazards to the health and hazardous operating environment, the basic realization of robots to replace manual operations; in the aluminum ingots handling, zinc ingot palletizing packaging, zinc stripping units and other heavy labor jobs, to promote the popularization of robot operations; Focusing on improving production efficiency and reducing maintenance costs, we have developed and promoted automatic temperature-sampling robots, continuous casting robots for automatic slag blasting, automatic slab cleaning robots, robots for ingot casting and slag removal, anode operation robots, and surface treatment and polishing of copper and aluminum plates. Robots, raw material sorting robots, cutting robots, spray paint (oil) robots, etc.; focus on improving product quality and process accuracy, promote the use of robots for surface defect determination, automatic product identification, image automatic recognition, etc.; to improve the mechanism of mining robots Reliability, obstacle avoidance design, communication capability, and explosion-proof design are the key technologies for the development. In complex mineral deposit mining and other aspects, R&D and promotion of intelligent robots such as underground metal mining and emergency rescue are being promoted.
Digital mine demonstration project metal digital mine. Representatives of iron ore, copper ore and gold mines will build 3 to 4 smart mining demonstration projects. Accelerate the integration of information and communication technology (ICT) and mining, combine downhole trackless vehicles, large-scale mining and selection equipment with advanced information networking technologies such as advanced Internet of things, pattern recognition, predictive maintenance, and machine learning, and promote the digitalization of key process control in the mining industry; Continue to promote the six major systems of mine safety and safety monitoring and monitoring, downhole personnel positioning, underground emergency shelters, underground pressure rescue, water rescue and communication, etc.; establish a hybrid intelligent production Internet of things, application data coordination, numerical simulation and Technology such as dimensional code identification, build a network system with automatic identification, information sharing, spontaneous collaboration, and intensive scheduling of personnel, equipment, processes, materials, energy, etc., to achieve dynamic and controllable mining process, and enhance the company's ore properties. The ability to respond to changes and changes in external markets meets the requirements of refined production management. The integrated logistics information system is constructed to take advantage of the scattered and remote distribution of mines, and the use of upstream and downstream supply and demand information to achieve efficient economic cooperation.
Rare earth digital mine. Relying on a large-scale rare earth group, it will build 2 to 3 rare earth digital mine demonstration projects in key mines such as Zhangzhou and Fujian. Utilizing modern information technologies such as database technology, dynamic storage technology, and three-dimensional digital modeling of mines to establish three-dimensional visualization models for reserves and production processes of rare earth mines to realize dynamic management of rare earth reserves, intelligent control of production, and monitoring of geological hazards, and improve the use of rare earth resources. Rate and enterprise intelligence management level.
Digital service platform. Relying on large-scale mining and metallurgy research institutes in China, it established communication technology standards, data standards, information security standards and service standards for mine cloud systems, and built data centers, computing centers, business centers, and network front desks of cloud service platforms. Integrate mass production data from typical mining groups such as gold, copper, lead, zinc and nickel, develop intelligent operation decision system for mining and metallurgy, and form long-distance industrial service capabilities such as remote online maintenance of production equipment, intelligent diagnosis of process faults, and automatic calibration and maintenance of analytical instruments. , It is planned to promote and apply it in 3~5 large-scale mining groups in China by 2018.
Digital Design Tool Development Application Engineering Development of digital design tools such as product formulation modeling, product performance analysis, virtual production manufacturing, and process flow design that meets the characteristics of the raw material industry. By 2018, the penetration rate of digital design tools for large and medium-sized non-ferrous enterprises reached 85%. The non-ferrous industry has focused on the development of modeling and research of crushing, sorting, separation, and smelting equipment based on Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) technologies to achieve three-dimensional visualization of process and plant simulation design and optimization of process parameters. The development of ball mills, flotation machines, smelting furnaces, electrolyzers, and other virtual prototypes for the selection and smelting of key process equipment have led to the development of numerical simulation design capabilities for the process and dispatch of the main metallurgical industry. Establish digital models of non-ferrous metal processing machine tools, components, raw materials, and environment, and perform parameterized expressions on microscopic and macroscopic processes such as workpiece cutting and forging, and realize rapid evaluation of machining effects and tool wear.
The key technological process numerical control project popularizes and popularizes the basic automation technology and system such as programmable logic control (PLC), distributed control system (DCS), transforms and promotes the raw material industrial production device and the production line, basically realizes the full coverage of the production process automation. By 2018, the key process flow rate for the major non-ferrous metals smelting, processing, and processing will exceed 75%. The non-ferrous metals industry focuses on the promotion of vibration mill load detection systems, particle size analyzers, and mineral processing image analyzers, etc. Intelligent online inspection and analysis equipment for metallurgical industry, intelligent optimization control technology for alumina production process, copper-enriched oxygen smelting control system, and rough Lead-enriched oxygen enhanced smelting control system, aluminum electrolytic high-efficiency energy-saving control system, wet zinc smelting optimization control technology, high-performance copper (aluminum) sheet rolling digital control molding technology.
Supply Chain Collaboration Management Promotes Engineering Encourage qualified companies to form networked enterprise clusters through networked manufacturing systems. Develop new manufacturing models such as Internet-based personalized customization, network crowdsourcing, and cloud manufacturing. In the non-ferrous industry, 2 to 3 large-scale copper, aluminum and zinc enterprise groups are involved in the construction of an upstream and downstream collaborative production and collaboration management system. Data coordination, numerical simulation and two-dimensional code identification technologies are applied to establish automatic identification, information sharing, and intensive scheduling. The network system platform realizes the coordination of personnel, equipment, technology, materials, energy, and finance in all links of the entire industry chain of non-ferrous metals, eliminates management bottlenecks such as task waiting and backlog, delay and distortion of information transmission, and promotes upstream and downstream collaborative management of the industrial chain. .