Smart factory operation and maintenance

  "Smart Factory" implementing technology

    Artificial Intelligence In 1956, John McCarthy first proposed the new concept of Artificial Intelligence artificial intelligence at the Dartmouth Dartmouth Conference in the United States.

 

1 The evolution of artificial intelligence (industrial manufacturing development)

    In the field of industrial manufacturing development, artificial intelligence was once narrowly called machine intelligence, because it has long been used to simulate human thoughts and behaviors through machines through various system calculations. Enable machines to replace labor or help humans in industrial production, inspection, maintenance, investigation, and detection under dangerous and harsh conditions to solve some things that people are inconvenient to solve or cannot be solved in real time, including repeated complex calculations. Since the birth of artificial intelligence, the development of theory and technology has become more and more mature. And with the rapid development of science and technology, artificial intelligence has been continuously combined and developed into various fields, and research results have gradually penetrated into various aspects. Different from the development process of the industrial revolution, the theory and technological development of artificial intelligence has its own set of evolutionary processes. Since the concept was put forward, it can be roughly divided into three periods:

Early stage of development:

    In the 1940s and 1950s, there was a lot of engineering practice in control theory, and the development of linear complete automation began to sprout. Some progress has been made in exploring the sensory and thinking mechanisms of organisms and humans and using machines for simulation, such as self-organizing systems, neuron models, neuron network brain models, etc., which have enlightened the development of automation technology. Due to the needs of new application technologies, new control problems raised by high-speed flights, nuclear reactors, large power grids, and large chemical plants have prompted some scientists to study nonlinear systems, relay systems, time-delay systems, time-varying systems, distributed parameter systems, and stochastic systems. The control problem of the input system has been studied in depth. The method of classical control theory can basically meet the needs of military technology in the Second World War and the needs of industrial development after the war. The general system theory, dissipative structure theory, synergy and hypercycle theory developed in the same period also provided new theories and new methods for the development of automation technology. Because robots have shown great superiority in improving productivity, replacing people from dangerous and harsh working conditions, and expanding the scope of human activities, they have attracted people’s attention. Robot technology has developed rapidly and is gaining more and more attention. The more widely used it is, and the more it can be used in industrial production, nuclear power plant equipment inspection, maintenance, ocean survey, underwater oil exploration, space exploration, etc., military robots under research also have greater potential application value. Regarding the design of robots, The technology of manufacturing and application forms robotics.

 

 

Mid-term development:

    The rapid development of microelectronics technology and microprocessors since the 1970s has combined artificial intelligence and computer technology. On the one hand, the results of artificial intelligence are widely used in the design of high-level computers, and on the other hand, supermicrocomputers are used to realize artificial intelligence, which greatly accelerates the research and application of artificial intelligence. Artificial intelligence has developed into a frontier field of systems and control research. The foundation is knowledge acquisition, representation technology and reasoning technology. The research fields involve natural language understanding, natural language generation, machine vision, machine theorem proving, automatic programming, expert systems, and intelligent robots. Since then, the research and application of artificial intelligence has gotten rid of After the past haze, the vigorous development can be seen in general.

    Although most early developments failed to make breakthroughs in both computer hardware and software technologies, related applications have always been unable to achieve the expected results, and the mid-term development cannot support large-scale commercial applications. It has experienced two climaxes. After the trough, it fell silent, but during the period there was no lack of symbolic statistical mathematical algorithms that had a significant impact on the future.

 

Recent development:

    After two ups and downs, nowadays, due to the rapid progress of algorithms, the substantial increase in computing power and the widespread application of big data, it has entered a new stage of development. Moreover, its momentum of development, rapid progress, and great influence are unprecedented. Artificial intelligence is a multi-disciplinary comprehensive discipline, mainly involving computer science, control science, electronics and other disciplines. With continuous development, it also integrates mathematics, biology, psychology, sociology and other disciplines. Recently, 4G and 5G information sciences are advancing by leaps and bounds. Artificial intelligence is a practical subject. It is human beings' continuous cognition and comprehensive understanding of their own activities and thinking. Therefore, artificial intelligence is advancing in continuous exploration and practice, and its reliability is verified in practical applications. Human-computer interaction and collaboration can lead to the emergence of human-computer fusion intelligent forms, especially in terms of text, image, voice and other multiple information to achieve multimedia and cross-media interactive collaboration. Artificial intelligence can evolve from simple computing tools to the indispensable importance of human intelligence. partner.

2 The role of artificial intelligence in intelligent manufacturing

Speaking of artificial intelligence, what kind of impact will intelligent manufacturing have?

    The introduction of artificial intelligence can be deployed directly on a large number of equipment in the manufacturing industry or in a production workshop to reduce transmission time and improve work efficiency, and it will be truly integrated with a large number of equipment. Artificial intelligence helps the manufacturing industry develop from a small number of discrete smart device applications to an integrated smart manufacturing system. In the manufacturing industry, communication capabilities between devices are usually required to be high. Before artificial intelligence merges with 5G, the efficiency of device data transmission is low, and more is to transmit device data to the cloud for processing. The current industrial Internet is changing from Industry 3.0 turns to Industry 4.0, and the connection of all things is the basis for the intelligent upgrade of the manufacturing industry. In the era of 5G and artificial intelligence, smart devices can use nearby computing to directly perform artificial intelligence calculations on the device side. Data that cannot be processed in time can also be quickly transmitted to the cloud using the 5G high-speed network, facilitating the collaboration between smart devices and the cloud and performing manual operations together. Intelligent processing. The interconnection and intercommunication of a large number of smart devices will be realized, and the devices will be connected to each other in a wired or wireless manner to form an internal information interconnection network in the manufacturing industry. Interconnection, the depth and breadth of connections have increased substantially. The integration of artificial intelligence with 5G's three major characteristics of high reliability, low latency, and high bandwidth is conducive to optimizing the manufacturing process of industrial control, information collection, operation and maintenance management and other production processes, and is conducive to the realization of the production requirements of intelligent manufacturing. Sensor data real-time acquisition and low-latency wireless transmission, production line full life cycle management and control, workshop and workshop full connection, automatic inspection of the quality of parts and products in the factory. The integration of artificial intelligence and 5G edge computing can realize the isolation and protection of intelligent manufacturing with multiple business scenarios, multiple service quality, multiple users and multiple industries, and the two are indispensable for synergy.

    Artificial intelligence is changing the manufacturing industry in various ways. In the smart factory in the era of artificial intelligence fusion 5G, people, equipment, and factories can perceive and connect with each other; a large amount of data generated by countless sensors will be smoothly transmitted to the edge cloud or core cloud in real time to make the data intelligent Processing and rapid delivery; a large number of new technologies will be applied in smart factories through artificial intelligence fusion 5G networks, bringing new vitality to smart manufacturing. At present, the country is vigorously supporting the development of the manufacturing industry and promoting the transformation of traditional manufacturing to intelligent manufacturing. Artificial intelligence and 5G technology will provide kinetic energy to the manufacturing industry in terms of equipment connection, data transmission, and service delivery, so as to improve production efficiency and satisfy The demand for intelligent production promotes the intelligent transformation and development of the manufacturing industry. The collaboration of artificial intelligence and 5G has helped the manufacturing industry develop from a small number of discrete smart device applications into an integrated smart manufacturing system, and has a large number of application scenarios in general life.

    Accelerate the intelligent transmission of data

    The current Industrial Internet is shifting from Industry 3.0 to Industry 4.0. The connection of all things with the collaboration of artificial intelligence and 5G is the basis for the intelligent upgrade of the manufacturing industry. The manufacturing industry will realize the interconnection and intercommunication of a large number of smart devices. The devices will be wired or wirelessly connected to each other or connected to the Internet, forming an internal information interconnection network in the manufacturing industry, realizing between smart devices and devices, and between devices and people. , The interconnection between the equipment and the factory, the depth and breadth of the connection have increased significantly. Before 5G, the efficiency of data transmission of artificial intelligence devices was low, and the device data was more transmitted to the cloud for processing. Timely processed data can also be quickly transmitted to the cloud using the 5G high-speed network, facilitating the collaboration between smart devices and the cloud to perform artificial intelligence processing together.

Promote the application of VR/AR in manufacturing

    The transmission speed of artificial intelligence fusion 5G network can reach billions of bytes per second, and the ultra-fast transmission speed can ensure the smooth and real-time playback of VR/AR videos. The integration of 5G and artificial intelligence will effectively promote the promotion and application of VR/AR in the manufacturing industry. VR/AR will promote the digital and intelligent transformation and upgrading of the manufacturing industry with a new information transmission method, drive industrial development, and create social value. VR/AR combines 5G and artificial intelligence technology throughout the entire manufacturing process. In the product planning stage, enterprises use VR technology to visually manage products. 5G network provides engineers with smooth VR video delivery so that engineers can have a more intuitive understanding of products. At the same time, the data generated by VR can be used as machine learning data. Source, processing data through artificial intelligence algorithms to optimize and upgrade product performance. In the product production stage, companies use the data in the 5G terminal to virtually demonstrate the state of the factory, and can perform remote operation of industrial equipment in real time in response to state changes. In the product inspection stage, companies can establish virtual workshops for simulation maintenance operations, and use artificial intelligence technology to automatically generate maintenance plans to save costs. In the product sales stage, companies use VR to display products in an intelligent panoramic view. Customers can understand a series of content such as product appearance, functional configuration, and production process anytime and anywhere, and have a deeper understanding of the product. In the product after-sales stage, after-sales engineers use VR technology to remotely solve product faults in real time, thereby reducing the pressure of after-sales. 5G and artificial intelligence jointly promote the application and promotion of VR/AR technology in the manufacturing industry, and promote the intelligent transformation of the manufacturing industry.

Multifunctional video surveillance interactive scene

    Artificial intelligence and 5G networks can effectively improve the functions and performance of video surveillance services. Companies can use a variety of artificial intelligence applications (such as face recognition, object recognition, natural language processing, etc.) to extract key information such as faces, license plates, and text from the monitoring system to reduce monitoring costs and improve monitoring efficiency. The high bandwidth and low latency of 5G can deliver clearer videos at a faster speed, improve data transmission efficiency, and can introduce more security monitoring equipment, expand the monitoring range, and obtain more monitoring data. A large amount of surveillance data and 5G high-speed network provide conditions for intelligent surveillance. At the same time, the integration of 5G and artificial intelligence can also effectively improve the data utilization rate and the accuracy and efficiency of video analysis in video surveillance services, and promote equipment energy consumption management , Equipment parameter optimization, data processing automation and resource scheduling, provide more accurate and reliable services for intelligent chemical factories. For example, intelligent monitoring equipment can automatically identify unknown intruders in the workshop, trigger access control and alarm devices in real time, and maintain production safety in the workshop; in addition, intelligent monitoring equipment can also monitor the use of raw materials in the workshop in real time, and pass the data through the 5G network Real-time delivery to factory management personnel, assisting management personnel in effective resource scheduling.

Remote real-time control and decision-making

    Artificial intelligence fusion 5G network can promote the remote real-time control of machinery in industrial production. Production managers can use the 5G network to remotely monitor equipment status information in real time, use artificial intelligence technology to analyze the status information, and automatically generate corresponding decisions and control instructions. The equipment receives the control instruction sent by the worker, completes the corresponding action, and realizes remote real-time control. In remote real-time control, low latency is particularly important. The 5G network helps equipment and production managers to maintain a real-time and reliable connection, so as to make the most correct decisions in a timely and stable manner. Remote real-time control is widely used. For example, for some dangerous equipment, remote operation can reduce a lot of risks and save manpower; in some harsh environments, remote operation can improve work safety and work efficiency; remote real-time control technology can also build unmanned factories Or unmanned laboratories to reduce labor costs in manufacturing.

Concluding remarks

    Artificial intelligence in the field of industrial manufacturing development to help realize smart factory intelligent manufacturing has risen to the national strategic height, and the manufacturing industry will undergo fundamental changes in the next few years. The manufacturing industry makes good use of and actively innovates and develops artificial intelligence applications, and is moving towards the construction of a smart factory with the basic framework of industrial Internet information communication technology and information integration platform and the core goal of smart research and development, smart manufacturing, smart management and smart services. The inevitable trend of global manufacturing development.