Smart Factory becomes the highlight of the raw materials industry integration plan

On January 29, the Ministry of Industry and Information Technology released the "Industrialization and Integration of Advanced Materials Industry (2015-2018)", which will be used in the petrochemical industry, steel, non-ferrous metals, building materials, gold, rare earths and other raw material industries. Deepen the integration of the two.

Among them, the "plan" proposes that by 2018, the penetration rate of digital design tools for large and medium-sized nonferrous metals enterprises will reach 85% ; the digital design tools for nonferrous metals industry should focus on the development of crushers based on computational fluid dynamics (CFD) and discrete element method (DEM) technologies. , Selection, separation, smelting equipment modeling research, to achieve three-dimensional visualization process and device 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 process flow rate for the major non-ferrous metals smelting, processing, and processing is more than 75% . Non-ferrous industry key process numerical control to promote the vibration mill load detection system, particle size analyzer, mineral processing image analyzer, etc. Metallurgical industry online intelligent detection and analysis equipment , alumina production process intelligent optimization control technology, copper enriched oxygen smelting Control system, crude lead and oxygen-enriched 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, etc.

In addition, in order to speed up the integration process of the raw materials industry in China, the "plan" also put forward specific requirements for the different characteristics of petrochemical, steel, non-ferrous metals, rare earths, building materials and other industries. Among them, the smarter factories, robots, and digital mines will be featured in three highlights, which will help the non-ferrous industry to fully deepen the integration of the two.

     Non-ferrous intelligent factory demonstration project

Select aluminum, copper industry three to four advanced enterprise, big data and industrial network was established based on production information service cloud architecture, form data and calculation information, knowledge, intelligent decision support capabilities, using material associated with tracking Smart Internet of Things, realizes identification, traceability, and configuration of important materials , develops highly efficient energy-saving control technology based on advanced production process conditions , establishes a three-dimensional visual simulation system for production processes , and finally realizes intelligent control, decision-making, management, and service of production processes. Establish an intelligent production and management decision system for energy efficiency optimization throughout the entire process .

Key station robot replacement project

Encourage robot R&D companies and raw material companies to cooperate and develop and apply a batch of special industrial robots. By 2018, 5,000 new robot applications will be added.

In industrial furnaces, loading and loading of vehicles and other hazards to the health and hazardous operating environment, the basic realization of robot replacement manual operations ; in the aluminum ingots handling, zinc ingot palletizing packaging, zinc stripping unit 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, automatic slab cleaning robots, ingot casting slag robots, 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 links, 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. Taking iron ore, copper ore and gold as its representative, build 3 to 4 smart mining demonstration projects. Speed up information and communication technology (ICT) integration with the mining industry, the underground trackless vehicles, large-scale mining equipment and advanced networking, pattern recognition, predictive maintenance, machine learning and other next-generation information technologies, promote mining critical process control digital; 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 and communication ; establish a hybrid intelligent production Internet of things, application data coordination, numerical simulation and dimensional code recognition technology, structures with automatic identification, information sharing element personnel, equipment, processes, materials, energy, spontaneous cooperation and intensive scheduling network system, dynamically adjustable controllable mining process, enhance the nature of the ore enterprise changes in external market changes and resilience to meet the requirements of lean production management; more dispersed and remote distribution for the mining, construction of integrated logistics information system, using the effective coordination of supply and demand information downstream, achieve economic inventory.

Rare earth digital mine. Relying on a large rare earth group, it will construct 2- or 3 rare earth digital mine demonstration projects in key rare earth mines such as Zhangzhou and Fujian. Utilize modern information technologies such as database technology, dynamic storage technology, and 3D digital modeling of mines to establish a three-dimensional visualization model 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 systems for mining and metallurgy, and form remote industrial service capabilities such as remote online maintenance of production equipment, intelligent diagnosis of process faults, and automatic calibration and maintenance of analytical instruments. plans to 2018 in the country three to five large-scale mining group application. (Zhao Tianning)

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