Intelligent manufacturing solutions for machining
In order to further improve the level of intelligent manufacturing, it is necessary to constantly improve and optimize the integration of mechanics, sensor technology, industrial intelligent robot, NUMERICAL control, automatic production line, flexible manufacturing and other intelligent manufacturing technology.

With the rapid development of industry, intelligent manufacturing has become the main mode of production and information core. The realization of high-quality unmanned production can effectively improve the efficiency of production, improve the quality of products, reduce production costs, and improve the economic benefits of production enterprises. In order to further improve the level of intelligent manufacturing, it is necessary to constantly improve and optimize the integration of mechanics, sensor technology, industrial intelligent robot, NUMERICAL control, automatic production line, flexible manufacturing and other intelligent manufacturing technology.

Applications of intelligent manufacturing in machining:

· Mechanics and intelligent manufacturing;

· Application of sensor detection technology in intelligent manufacturing;

· Application of industrial intelligent robot in intelligent manufacturing;

· Application of electronic NUMERICAL control technology in intelligent manufacturing;

· Application of flexible manufacturing in intelligent manufacturing.


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· Mechatronics and intelligent manufacturing

  Mechatronics including mechanical components, control components, information processing components, executive components, power supply components five parts;

  Manage and control equipment and system to optimize system resource allocation and improve operation efficiency.

· Sensors in intelligent manufacturing applications

  Collect information and monitor production in complex environment to replace people;

  The accuracy and automation degree of information collection are required to give full play to the advantages of sensors and intelligent manufacturing;

  Combine computer technology and standardized interface technology to integrate sensor detection system into intelligent manufacturing;

  Share data in intelligent workshop, management platform and data center via Internet to provide reliable basis for production monitoring and decision-making;

  Improve the efficiency of product management, ensure the accuracy of information resources, improve resource efficiency, and liberate labor in harsh working environment.

· Application of NUMERICAL control technology in intelligent manufacturing

  The whole manufacturing process can be modeled in equal proportion.

  Realize synchronous integration of model building and intelligent manufacturing management system;

  Through numerical control and intelligent manufacturing platform for the production of real-time monitoring and timely control.

· Application of automatic production line in intelligent manufacturing

  Automated production line includes operating platform, monitor, control system;

  All work can realize automatic control, production, alarm and fault warning, etc.

  Set parameters of each module in the production process;

  Improve the automation level of production;

  Improve the safety and stability of production.


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· Application of flexible manufacturing in intelligent manufacturing

  Highly integrated digital control, information control and material storage and transportation systems;

  Automated switching according to processed objects;

  Choose reasonable processing equipment, tools and intelligent logistics system to achieve automatic control according to the process and technology of product production;

  Mechanical equipment can be controlled by intelligent platform;

  Through modeling and platform analysis, reasonable arrangement of similar processing technology, NUMERICAL control equipment, batch centralized production, improve production efficiency;

  Through the intelligent manufacturing management platform to realize information monitoring of the production process, and providing  decision-making basis through data collection, process modeling, production process control, finished product data analysis, for enterprise analysis, decision-making and prediction, resource scheduling etc.


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