How the hottest industrial Internet platform makes

2022-09-26
  • Detail

How can industrial interconnection platforms make factories intelligent?

at present, Chinese manufacturing enterprises are facing great transformation pressure. On the one hand, factors such as the rapid rise of labor costs, overcapacity, fierce competition, and the growing personalized needs of customers have forced manufacturing enterprises to shift from low-cost competitive strategies to the establishment of differentiated competitive advantages. At the factory level, manufacturing enterprises are facing great pressure from recruitment difficulties and the lack of professional technicians. They must reduce staff and increase efficiency, and there is an urgent need to promote the construction of intelligent factories. On the other hand, the rapid rise of emerging technologies such as IOT, collaborative robots, additive manufacturing, predictive maintenance, machine vision and so on, with the start and development of industrial interconnection, has provided good technical support for manufacturing enterprises to promote the construction of intelligent factories. Coupled with the strong support of the state and local governments, more and more large and medium-sized enterprises in various industries have embarked on the journey of building smart factories that are generally verified by laboratory machine manufacturers as superior to national standards

intelligent factory is an important carrier to realize intelligent manufacturing. It mainly realizes the intellectualization of production process by building intelligent production system and networking distributed production facilities. Smart factory has the independent ability to collect and analyze star high-tech: gb/t 12444 ⑵ 006 "wear test methods for metallic materials - test ring - test block sliding wear test"; Gb/t396083 "test method for sliding friction coefficient of plastics", judgment and planning; Reasoning and prediction are carried out through the overall visual technology, and the design and manufacturing process is expanded and displayed by using simulation and multimedia technology. Each component of the system can form the best system structure by itself, which has the characteristics of coordination, reorganization and expansion. The system has the ability of self-learning and self-maintenance. Therefore, intelligent factory realizes the coordination and cooperation between human and machine, and its essence is human-computer interaction

social needs need to build intelligent manufacturing based on the industrial interconnection platform, but the foundation of intelligent manufacturing and industrial interconnection is manufacturing. Therefore, based on the three hard parts of manufacturing: equipment, tools and materials, plus the three soft parts: industrial software, industrial big data and industrial artificial intelligence, the overall architecture of intelligent manufacturing is formed, and the industrial interconnection platform is constructed at the same time

intelligent manufacturing has achieved its roles and goals in all aspects on the industrial Internet platform. Based on the manufacturing experience accumulated in the past decades, it has developed professional clouds, such as precision tool cloud, CNC processing cloud, SMT precision cloud, assembly cloud, sensor, robot. These professional clouds will support industrial clouds in the future, such as household appliances, car service, and big health industry, Through this framework system, we can realize the transformation of manufacturing forms and the optimal allocation of resources

another is to realize cross domain and cross industry empowerment through our intelligent manufacturing and industrial interconnection platform, so as to provide the foundation of manufacturing industrial interconnection platform for more industries

I. main construction modes of smart factory

due to different production processes in various industries and different intellectualization conditions in various industries, smart factory has the following different construction modes

the first mode is from digitalization of production process to intelligent factory

in petrochemical, iron and steel, metallurgy, building materials, textile, papermaking, medicine, food and other process manufacturing fields

the driving force for enterprises to develop intelligent manufacturing: product quality is controllable

method route: the construction of production digitalization starts, and based on the needs of quality control, it changes from product end control to whole process control

the construction mode of intelligent factory of process factory is:

first, promote the digitalization of production process, build a dynamic, transparent and traceable system covering the whole process, and realize cross department collaborative control of the whole process of product production based on a unified visual platform

second, promote the integration of production management and promote the integration and sharing of internal resources and information

third, promote the co assimilation of supply chain and improve the operation efficiency of supply chain inside and outside the factory

fourth, build a big data intelligent factory as a whole, promote end-to-end integration, and carry out personalized customization business

the second mode is from intelligent manufacturing production unit (equipment and products) to intelligent factory

in discrete manufacturing fields such as machinery, automobile, aviation, shipbuilding, light industry, household appliances and electronic information

the driving force for enterprises to develop intelligent manufacturing is to expand the product value space

method route: start with the automation of a single device and the intellectualization of products, and realize value growth based on the improvement of production efficiency and product efficiency

therefore, the construction mode of its intelligent factory is:

first, promote the intellectualization of production equipment (production line)

establish a workshop level intelligent production unit based on CPS system by introducing all kinds of intelligent equipment that meet the needs of production, so as to improve the ability of precision manufacturing and agile manufacturing

second, expand value-added services based on intelligent products

realize interconnection with CPS system by using intelligent devices of products, and support services such as remote fault diagnosis and real-time diagnosis of products

Third, promote the integration of workshop level and enterprise level systems

realize the seamless integration of production and operation and the information sharing between upstream and downstream enterprises, and carry out collaborative innovation based on horizontal value networks

Fourth, promote the integration of production and service

realize service-oriented transformation based on smart factories, and improve industrial efficiency and core competitiveness

the third mode is from personalized customization to Internet factory

in household appliances, clothing, home furnishings and other areas, the skills of the electronic tensile testing machine for cast aluminum rods are now very sophisticated. The nearest consumer goods manufacturing field for users

the driving force for enterprises to develop intelligent manufacturing is to fully meet the diversified needs of consumers and achieve economies of scale production at the same time

method route: carry out mass customization mode innovation through the Internet platform

therefore, its intelligent factory construction mode is:

first, promote personalized customized production, introduce flexible production lines, build an Internet platform, promote deep interaction between enterprises and users, widely collect needs, and carry out lean production based on the demand data model

second, promote design virtualization. According to 2, connect the design, production and service data chain in the same banetto interconnection and reverse integration design link, and adopt virtual simulation technology to optimize the production process

third, promote manufacturing network collaboration, change the traditional vertical organization mode, take the flat and virtualized new manufacturing platform as the link, gather upstream and downstream resources of the industrial chain, and develop a new network collaborative manufacturing mode of remote customization, remote design and local production

about the stage and implementation prerequisites of industry 4.0, Professor Liu Qiang of Beijing Airlines said a very classic "three don't principles":

first, don't do automation without mature technology. If the technology is not mature, it's best to do production lines first, which is the problem solved by industry 2.0

second, don't do informatization when management is immature. This is a problem solved by industry 3.0

third, don't be intelligent when you don't have the foundation of networking and digitalization. This is a problem solved by industry 4.0

Professor Liu's "three don't principles" have not been fully implemented for various reasons. Chinese manufacturing enterprises still have many problems and misunderstandings in promoting the construction of intelligent factories:

blindly buying automatic equipment and automatic production lines

the automatic collection of equipment data and workshop connection have not been realized

the factory operation layer is still a black box

equipment performance is not high

there are still a large number of information islands and automation islands

the reason is that intelligent manufacturing and intelligent factory cover many fields, the system is extremely complex, and enterprises still lack a deep understanding. Under such circumstances, manufacturing enterprises should not rush forward and carry out the "great leap forward" in order to avoid causing the investment of enterprises to drift

we should rely on consulting service institutions with practical experience, combined with the internal it, automation and lean teams of the enterprise, with the active participation of senior management, and do a good job of demand analysis and overall planning according to the products and production processes of the enterprise. Only on this basis can we achieve practical results

whether it is industrial interconnection, industry 4.0, or intelligent manufacturing, their starting points, perspectives of thinking and application fields of concern differ, but they all share a core idea, that is, to apply the core technology of Interconnection - Computing and communication network technology more widely and deeply in industrial systems and infrastructure, so as to realize the deep integration of information technology and production and operation technology; They all want to achieve a common goal, that is, through the real-time perception of the state and environment of physical entities, make the best decisions through computing in the information space, and dynamically optimize the use of physical resources

Copyright © 2011 JIN SHI