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What are the application areas of intelligent manufacturing

Date:10-21  Hits:745  Belong to:Technology
  & nbsp; Intelligent manufacturing refers to the organic connection of intelligent equipment through communication technology by Baidu in the production process, achieving automation of the production process; And collect various data during the production process through various perception technologies, upload it to industrial servers through communication methods such as industrial Ethernet, and perform data processing and analysis under the management of industrial software systems. Combined with enterprise resource management software, provide optimized production solutions or customized production, and ultimately achieve intelligent production. Applied in many fields& ensp;

  & nbsp; Intelligent manufacturing technology originates from artificial intelligence research and covers both intelligent manufacturing technology and intelligent manufacturing systems. It is a manufacturing technology that simulates human intelligence systems for practical operations. It is an interpersonal integrated intelligent system composed of humans, intelligent machines, and authoritative knowledge in related fields& ensp;

In order to meet market demand, the product update process is faster and the variety is becoming increasingly diverse. However, traditional automated production systems with large-scale output and detailed division of labor are gradually struggling to meet market demand. In this regard, the research and development of intelligent manufacturing technology provides an effective solution: using industrial robots as the core of intelligent systems, supplemented by necessary computer technology, to form a new type of flexible manufacturing system, breaking the traditional manual operation mode and maximizing the role of intelligent machinery in practical operation. This greatly solves the difficulties in manual operation and the force majeure factors that occur during the manual operation process, achieving automation of the production process. At present, the development speed of industrial control systems is increasing day by day, which is both an opportunity and a challenge for the manufacturing industry. Enterprise managers who want to keep up with the industrial development in the new era and achieve industrial control automation and the full application of intelligent manufacturing technology are inevitably the best choice& ensp;

  & nbsp; Intelligent manufacturing technology includes four levels: automation, informatization, Internet and intellectualization. The industrial chain covers intelligent equipment (robots, CNC machine tools, service robots, other automation equipment), industrial Internet (machine vision, sensors, RFID, industrial Ethernet), industrial software (ERP/MES/DCS, etc.), 3D printing, and automation system integration and production line integration that organically combine the above links& ensp;

  & nbsp; At present, many industries rely on intelligent manufacturing, such as factories and enterprises that require automated production lines: electronic assembly, tobacco, chemical, pharmaceutical, food and beverage, chip processing and manufacturing, automotive and parts manufacturing, and so on. And these industries achieve automated processing, assembly, and testing& ensp;

  & nbsp; In industries such as home appliances, rail transit, and electronic devices, there is also a strong demand for production, assembly, and intelligent transformation. Many companies use robots to manually operate key workstations and high pollution, high-risk workstations& ensp;

  & nbsp; In addition, as we enter the 21st century, enterprises have increasingly strict and refined requirements for personnel management. So many enterprises are introducing ERP systems to help them with production management work, and even now ERP systems are still the foundation for enterprises to achieve modern management. Production based on sales is the most fundamental idea of ERP, and MRP (Material Requirements Planning) is the core of ERP.
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