Making full use of artificial intelligence technology in electrical automation control can not only improve the level of automation control, but also effectively reduce the production cost of electrical automation. The application of artificial intelligence technology in electrical automation control is an effective integration of artificial intelligence technology and electrical automation technology, which can promote the rapid development of electronic automation, and is also an innovation and leap in science and technology.
1. The content of artificial intelligence technology
Artificial intelligence technology belongs to the category of computer technology. The main purpose is to master the inherent essence of human intelligence, and at the same time simulate human intelligence, thus generating intelligent machines. Artificial intelligence technology has taken various fields such as robots and expert systems as the main research objects, and involves many disciplines such as psychology, logic, and linguistics, but computer science has always been its core content. In general, effective research on artificial intelligence technology has certain complexity, so intelligent machines are needed to solve these complex tasks. The human brain is the most sophisticated machine, and the process of thinking about the human brain can be simulated. In essence, the intelligent machine is realized on the basis of the simulation of the human brain, and through effective research on the actual information obtained and Implement feedback based on this. Therefore, the main way to strengthen the realization of automation goals in the current industry is the simulation of the human brain.
2. Application advantages of artificial intelligence in electrical engineering automation
Since complexity and systemicity are the main features of electrical equipment design, the relevant designers who design electrical equipment must have a complete knowledge theory, and the practical effectiveness of their design work must be strong. After applying artificial intelligence technology in electrical engineering automation, it has many advantages. The following four aspects are its main manifestations:
(1) Data acquisition and processing can be completed by artificial intelligence technology. With this function, various data of electrical equipment can be collected, and relevant data can be processed and saved in time, which can make electrical automation The actual control efficiency has been greatly improved.
(2) Artificial intelligence technology can complete the system monitoring and perform necessary alarms. Artificial intelligence technology monitors the analog data values ​​of the main equipment in the electrical system in real time.
(3) The operation control function of artificial intelligence control is better. The mouse and keyboard can be used to automatically control the electrical equipment. Since the control program can complete the synchronous grid-connected operation, the operation intensity of the operator can be greatly reduced, and the control efficiency can be greatly improved. The actual needs of current industrial development are very consistent.
(4) The artificial intelligence control has the function of fault recording. It is also because of this function artificial intelligence technology that intelligently captures the fault recording, which greatly improves the actual operating efficiency and operational safety of the electrical equipment.
3. Application analysis of artificial intelligence technology in electrical automation
3.1 Application of artificial intelligence technology in electrical automation equipment
Because electrical automation systems often have great complexity, they often involve a lot of professional knowledge. Therefore, compared with electrical automation equipment operators, they need to have good personal qualities, and also need relevant professional knowledge. Thorough understanding. Because the electrical automation system is more complicated, the actual operation is more effective, so as to minimize the abnormal operation, resulting in abnormal shutdown, and even cause safety accidents. The related problems generated by this pair can usually be realized by the application of artificial intelligence technology. Compared with artificial intelligence technology, the main core is computer theory. In the actual application, the related programs are compiled and can be realized under computer control. Intelligent control of electrical automation. In a certain sense, the intelligence of electrical equipment is mainly to replace the actual labor operation of people with intelligent equipment, so that in addition to improving the actual production efficiency, it can also enhance the cost reduction to a certain extent. The application of artificial intelligence in electrical engineering automation can improve the scientific nature of electrical automation equipment in actual operation, and can also optimize the operating environment of the equipment.
3.2 Application in electrical control work
In the electrical field, the control of electrical equipment is a very important part. Automation equipment is the main development direction of the current electrical industry. In the control of equipment, it is also necessary to gradually realize intelligence, which can greatly enhance work efficiency and reduce Capital costs and reduce the labor intensity of practitioners. For example, fuzzy control, neural network control, and expert systems in artificial intelligence technology are relatively advanced control technologies, which can achieve effective control of various devices, and the control effect is good, and the generated errors are small. For example, in fuzzy control, the more commonly used fuzzy control methods are Sugeno and Mamdani. The latter is mainly applied to the control of the speed adjustment of the device. The fuzzy control method can handle the communication with a higher efficiency. The problems related to the transmission control, so that the working quality and working efficiency of the electrical equipment are greatly improved.
3.3 Application in the daily operation of electrical equipment
The electrical industry has a certain connection with people's lives and production, and it is very cumbersome due to the complexity of electrical equipment and its daily control. In the traditional daily operation, the operation mode is also complicated, and the control time of the electrical system is also effectively increased, thus reducing the control efficiency. Therefore, it is necessary to strengthen the effective application of artificial intelligence in actual operations, and in the daily operation, artificial intelligence can be used to carry out some basic control algorithm effective devices, simplify these complicated operation procedures, and only need A computer can effectively control these operations. Most importantly, through the deepening of artificial intelligence technology, remote control can be realized. The operation interface can be simplified, and relevant important data can be processed and saved in time for future search. Convenient with the application. In the daily operation process, a lot of data should be recorded, such as the loss of electrical equipment, power, etc. If manual recording is used, there will be a huge workload and error, but the corresponding form is compiled using artificial intelligence technology. And the data acquisition system can realize the collection and effective preservation of data, reduce the work intensity and improve the work efficiency.
3.4 Application in the process of fault diagnosis
Artificial intelligence fault diagnosis technology covers fuzzy theory, neural network, and expert system, which can accurately diagnose electrical accidents and their faults. In practice, due to various factors, various faults often occur in the electrical industry. If the faults are not diagnosed in time and effectively, serious losses will occur. The fault diagnosis method used in the past is cumbersome and the accuracy is low. Taking a transformer as an example, the commonly used fault diagnosis method in the past is to comprehensively collect all the gases decomposed in the transformer oil, and then analyze the collected gas to determine whether there is a hidden danger. This method takes a long time, requires a lot of effort, and has a low diagnostic accuracy. In addition, the troubleshooting methods used in the past are also very complicated. Therefore, these inefficient troubleshooting methods and solutions should be discarded. The combination of fuzzy theory, neural network and expert system solves the above problems, and also ensures the accuracy of fault diagnosis and improves work efficiency.
3.5 Simplified electrical automation control process
The electrical engineering automation process is very complicated in the actual operation, and there are strict step requirements in the operation. If it causes a little problem, it may bring great harm to the machine equipment. Therefore, how to ensure the normal operation of electrical equipment, while at the same time simplification and programming as much as possible, is a problem that current researchers need to pay attention to. With the application of artificial intelligence in electrical engineering automation, these problems can be realized to a certain extent. After storing and analyzing the daily data, it is possible to take timely measures to ensure that it is normal after the machine fails. run. In addition, the application of artificial intelligence in electrical engineering automation can also realize remote operation of electrical equipment, strengthen the simplification and programming of control processes, and provide inspection and maintenance of electrical equipment for relevant technicians. A certain convenience, which not only saves time, but also effectively increases the operating cost of electrical automation.
4, the conclusion
The product of the current scientific and technological development of artificial intelligence technology is the product of the rapid development of social economy. The application of artificial intelligence in electrical engineering automation can promote the structural adjustment of the industry in a certain sense and provide the development of electrical engineering automation technology. Fresh blood. Therefore, in the future development of electrical engineering automation, we need to continuously strengthen the effective research on artificial intelligence technology, making our production and life more intelligent.
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