Speaking of artificial intelligence, the earliest contact of the industrial control small editor was the first film "Iron Man" in 2008. As a new star in the future industrial area, in the film "Jarvis" is the most intuitive interpretation of the artificial intelligence system, by combining AR technology and artificial intelligent voice and other advanced artificial intelligence system, predictive maintenance analysis, data visualization in the iron man before battle, and in the process of fighting self diagnosis.

 Since the "thought machine" was born in 1950s, artificial intelligence has been unable to achieve breakthrough progress. Up to the last 10 years, with the rapid development of science and technology, the original "Jarvis", which was only fictitious in the film, has quietly entered the life of people. There is no doubt that artificial intelligence is setting off a new wave of digital revolution in both industrial and civil fields.
      What can artificial intelligence do in the end?
      Nowadays, artificial intelligence technology has developed rapidly in various fields. Referring to artificial intelligence in industrial field, you will be an industrial robot. In the civil field, it belongs to Iphone's SIRI artificial intelligence speech function. Its appearance has brought great changes to human life.
      The industrial control small editor focuses on the application of artificial intelligence in the industrial field, which can be divided into the following three categories:
      The first is the application of data visualization analysis is relatively simple: in addition to the artificial intelligence data to collect equipment (such as temperature, speed, energy consumption, productivity, etc.) and to store the data for the two analysis, energy saving optimization on the production line, to detect whether the abnormal operation of equipment, and reduce energy consumption the measures.

The second class is to allow the machine to realize self diagnosis. For example, a production line suddenly issued a fault alarm, the machine to its own diagnosis, to find where the problem, what is the reason, can also according to the historical records maintenance or maintenance standards, tell us how to solve the problem, and even allow the machine to solve problems by themselves, self recovery.

 Of course, we do not want to fail too much, so third kinds of applications and predictive maintenance can be realized by artificial intelligence technology. If the industrial production line or equipment has a sudden problem, the loss is very huge. So we use the artificial intelligence technology to let the machine feel or analyze the possible problems before the problem occurs. For example, CNC machine tool factory after running for a period of time the tool needs to be replaced, by operating the data analysis of history, the machine can know ahead of time which may damage the tool, ready replacement parts, and arranged in a recent maintenance replacement tool.
      Artificial intelligence has quietly settled in the industrial field
      In 2017, in BAT and AMG, Ali ET industrial brain was the first artificial intelligence to go down to the workshop. Photovoltaic materials manufacturer GCL as the first use of Ali cloud computing service provided by the manufacturer, its yield increased by 1%, annual savings of hundreds of millions of cost. GCL and aliyun cooperation is China industrial manufacturing innovation demonstration, the first thing Ali cloud in the manufacturer workshop, the production line of all the data port on the cloud, and then mobilized thousands of servers is, within a short period of time from thousands of variables found that affect the yield 60. These variables are then monitored and controlled in real time by artificial intelligence, and the production line is just "ordered".
      In fact, in the field of industrial enterprises landing quietly layout of artificial intelligence has already appeared, as a pioneer of automation industry development, thoughtful bigwigs saw the advantages of digital transformation, have embarked on artificial intelligence platform layout industry.
      SIEMENS SIEMENS Central Academy has demonstrated part of the dual arm robot in Munich recently. With the highly automation of AI, the robot can work autonomously and collaborate without any programming to create products. "We just have to tell the robot to install a part on the guide, and it will do it," said Dr. Kai Wurm, a SIEMENS Central Research Institute. As a simplified example, this task describes the connotation of "single - piece customization production". It involves the processing or assembly of a variety of products containing different parts. The robot gets information about the manufacturing product from the associated software model. The traditional robot can't understand the CAD/CAM (computer aided design and manufacture) model, but the new robot prototype can do it. In a sense, it's like robots can understand different languages, so they don't have to program their movements and processes.

GE -- recently, GE has announced many years of agreements with many electric companies, and has made extensive agreements with New York Electric Power Administration (NYPA), aiming to become the world's first fully digital power company. Today, the integrated intelligent operation center of GE forecast analysis software is open, a sophisticated asset monitoring and diagnosis center. Among them, asset performance management will deploy and optimize the GE GE and Enel (APM) software, the software industry in the network GE (IIoT) on the Predix platform to run, monitoring, forecasting and improve the reliability of 13 gas-fired power plants and 1 coal-fired power plants, the 14 power plants are using turbines and generators general electrical or Alston. General Electric CEO Russell Stokes (RussellStokes) said, "in the future, GE will improve operation efficiency and create more revenue for enterprise factories through digitalization transformation".
      Rockwell automation: not long ago, Rockwell also revealed its automation to occupy a space for one person in the field of artificial intelligence industry ambitions, announced the investment of a company called The Hive of the Silicon Valley innovation fund and create a studio in       November 3, 2017, the ecological environment by leveraging innovation group and high tech start-ups composition, committed to artificial intelligence (AI) applied to the field of industrial automation. Rockwell automation, senior vice president of corporate development Elik Fooks said, "we continue to build partnerships with leading innovation groups, such as our The and Hive cooperation, to further promote the implementation of Internet business vision, namely through the factory and enterprise integration will be the industry productivity to a new height of hitherto unknown." The purpose of Rockwell automation is to create solutions to customer problems, speed up innovation and discover new technologies, and help manufacturing customers eliminate barriers between the grass-roots and higher level information systems, thereby improving business performance.
      From "artificial intelligence" to "industrial intelligence"
      From the intelligent technology of the computer and the Internet industry background, is irresistible momentum swept the world in various fields. The combination of intelligence and industry has attracted worldwide attention. From Germany's industry 4 to the US industrial Internet, from GE's Predix to IBM's PMQ, we can see that the combination of industry and intelligent technology will also be the next outlet.
      The core of intelligence is decision making and execution, and the core of decision is perception and judgment. In the industrial system, IoT technology, sensor technology, data transmission, data management and other continuous development provide reliable perception foundation for the implementation of intelligent technology. But most of the industry is at the core of people's decision-making and feedback, which leads to a large portion of the value of the system and has not been released. The more complex the system is, the slower the learning curve will be, and when the human learning curve is slower than the technological progress, people will become the bottleneck that restricts the progress and application of technology. The first revolutionary change brought by AI for industry is to get rid of the limitation of human cognition and knowledge boundary, and provide quantitative basis for decision support and collaborative optimization.
      Industrial control Xiaobian: AI will become one of the most popular keywords in the 2018. For the future of AI, we have announced one or two in many sci-fi movies. But so far, the application of artificial intelligence in the industrial field is not as mature as the Internet, and further cultivation is needed in the future. By using artificial intelligence to fully realize the intelligentized operation of the factory operation, the operators can reduce manpower to the greatest extent and improve the quality of manufacturing.
      I wonder what you think about the development of artificial intelligence in the industrial field. You are welcome to conduct brainstorming with the industrial control little Editor under the review!