The application of artificial intelligence in electrical automation
The total use of artificial intelligence technology in electrical automation control can not only improve the level of automation control but also effectively reduce the production costs 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 development of electronic automation by leaps and bounds, as well as innovation and leaps in science and technology.
1 artificial intelligence technology connotation
Artificial intelligence technology belongs to the category of computer technology. The main purpose is to master the inherent nature of human intelligence during the simulation of human intelligence, thus giving rise to intelligent machines. Artificial intelligence technology has taken various fields, such as robotics and expert systems, as its main research objects while involving psychology, logic, linguistics, and many other disciplines, but the computer discipline has been its core content. Generally speaking, effective research into artificial intelligence technology is complex and requires intelligent machines to solve these complex tasks. The human brain is the most sophisticated machine, and the thinking process of the human brain can be simulated. In essence, intelligent machines are based on the simulation of the human brain, and through the effective study of the actual information obtained and based on this, to achieve feedback. Therefore, in the current industries to strengthen the main way to achieve the goal of automation is the simulation of the human brain.
2 artificial intelligence in the application of electrical engineering automation advantages
Since complexity and systemic nature are the main characteristics of electrical equipment design, the designers of electrical equipment must have complete knowledge of the theory, and the practical effectiveness of their design work must be strong. After the application of artificial intelligence technology in electrical engineering automation, it has many advantages, and the following four aspects are its main manifestation:
(1) The collection and processing of data can be completed by artificial intelligence techniques because of this function, so that all kinds of data of electrical equipment can be collected, and the relevant data can be processed and saved in time so that the actual control efficiency of electrical automation can be greatly improved.
(2) Artificial intelligence technology can complete the monitoring of the system and make the necessary alarms. Artificial intelligence technology can monitor the analog data values of the main equipment in the electrical system in real-time.
(3) Artificial intelligence control has good operational control functions. The mouse and keyboard can be used to carry out automatic control of electrical equipment, as the use of control procedures can be completed at the same time as the grid with load operation, which not only can significantly reduce the work intensity of the operator but also can make the control efficiency is greatly improved, which is in line with the actual needs of the current industrial development.
(4) artificial intelligence control with fault recording function, but also because of this function artificial intelligence technology, intelligent capture fault recording, which makes the actual operation of electrical equipment efficiency and operational safety have been greatly improved.
3 artificial intelligence technology in the application of electrical automation analysis
3.1 Artificial intelligence technology in the application of electrical automation equipment
As there is often a great complexity in the electrical automation system, it often involves a lot of professional knowledge, so relative to the electrical automation equipment operators, it needs to have good personal qualities, but also need to have a thorough understanding of the relevant professional knowledge. Because of the complexity of electrical automation systems, the effectiveness of their actual operation has to be strong so that improper operation can be minimized, leading to abnormal shutdowns and even safety accidents. This pair of related problems can usually be used to achieve the application of artificial intelligence technology, as opposed to artificial intelligence technology; its main core is computer theory in the practical application of the relevant programming, which can be under computer control to achieve intelligent control of electrical automation. In a certain sense, the intelligence of electrical equipment is mainly to replace the actual human labor operations with intelligent equipment, which can improve the actual production efficiency, but also, to a certain extent, enhance the reduction of costs. The automation of electrical engineering for the application of artificial intelligence can make the electrical automation equipment in the actual operation of the scientific nature to be improved, and the operating environment of the equipment can also be optimized.
3.2 Application in electrical control work
In the electrical field, the control of electrical equipment is a very important part of the automation equipment is the main development direction of the current electrical industry, in the control of equipment also gradually achieves intelligence, can greatly enhance efficiency, reduce capital costs, and reduce the labor intensity of practitioners. For example, artificial intelligence technology in fuzzy control, neural network control, expert systems, etc., are more advanced control technology, can achieve effective control of a variety of equipment, and the effect of control is very good, resulting in less error. For example, in fuzzy control, the more commonly used fuzzy control methods are Sugeno and Mamdani two techniques; the latter is mainly applied to the control of the speed regulation of the equipment; fuzzy control methods can be a higher efficiency in dealing with the problems related to AC drive control so that the quality of work of electrical equipment and work efficiency has been greatly improved.
3.3 Application in the daily operation of electrical equipment
The electrical industry and people's lives and production have a certain connection due to the complexity of electrical equipment and the daily control of very tedious performance. The traditional daily operation of operation is also more complex, and the control time of the electrical system will effectively increase, reducing the control efficiency. Therefore, it is necessary to strengthen the effective application of artificial intelligence in the actual operation in daily operation; artificial intelligence can be used to carry out some basic control algorithms of effective equipment, the complex operation process will be simplified, and only a computer can achieve effective control of these operations, and most importantly, through the deepening of artificial intelligence technology, but also to achieve remote control. The operating interface can be simplified, and important data can be processed and saved in time for future reference and application. In the daily operation process, for many data to be recorded, such as the loss of electrical equipment, electricity, etc., if the manual record, there will be a huge workload, but also prone to error, but the application of artificial intelligence technology to compile the corresponding forms and data collection system, you can achieve the collection of data and effective preservation, reducing the work intensity, while improving efficiency.
3.4 Application in the fault diagnosis process
Artificial intelligence fault diagnosis technology covers fuzzy theory, neural networks, and expert systems, which can accurately diagnose electrical accidents and their faults. In practice, due to the influence of various factors, a variety of hidden faults usually occur in the electrical industry, which can lead to serious losses if the faults present are not diagnosed in a timely and effective manner. The fault diagnosis methods used in the past were cumbersome and less accurate. In the case of transformers, for example, the common fault diagnosis method used in the past was to collect all the gases decomposed in the transformer oil and then analyze the collected gases to determine if there were any hidden faults. This approach was time-consuming, required a lot of effort, and had a low diagnostic accuracy rate. In addition to this, the troubleshooting methods used in the past have been very complex. Therefore, these inefficient fault diagnosis methods and solutions should be discarded. The organic combination of fuzzy theory, neural networks, and expert systems solves these problems and also ensures the accuracy of fault diagnosis and the efficiency of work is improved.
3.5 The control process of electrical automation is simplified
The actual operation of electrical engineering automation is very complex, and there are strict step-by-step requirements in operation, which may bring great harm to the machinery and equipment if a little problem arises. Therefore, how to ensure the normal vámonos of electrical equipment while making the operation as simple and procedural as possible is a problem that researchers need to pay attention to. With the application of artificial intelligence in electrical engineering automation, these problems can be achieved to a certain extent, which allows for the storage and effective analysis of daily data and the timely adoption of measures to ensure the normal operation of the machine after it has failed. In addition, the application of artificial intelligence in the automation of electrical engineering can also achieve remote operation of electrical equipment, strengthening the simplicity of the control process and the procedure for the relevant technical personnel in the inspection and maintenance of electrical equipment to provide a certain degree of convenience, which not only saves time but also effectively increases the operating costs of electrical automation.
4 Conclusion
Artificial intelligence technology is the product of the current development of science and technology, and is the product of the rapid development of the social economy, in the automation of electrical engineering for the application of artificial intelligence, in a certain sense, can promote the restructuring of the industry, can provide fresh blood for the development of electrical engineering automation technology. Therefore, in the future development of electrical engineering automation, we need to continuously strengthen the effective research on artificial intelligence technology so that our production and life become more intelligent.
