Instrument intelligence

In the control system, instrumentation as its constituent elements, its technical progress is to follow the development of control system technology and development. At present, the control theory has developed to a new stage of intelligent control, and the intelligence of automatic instruments and meters has become inevitable.

The intelligence of instrumentation is mainly attributed to the development and application of microprocessor and artificial intelligence technology. For example, intelligent technologies such as neural networks, genetic algorithms, evolutionary computing and chaos control are used to achieve high speed, high efficiency, multi-function, high mobility and flexibility.

Another example is to use fuzzy reasoning technology of fuzzy rules to make various types of fuzzy decisions for various fuzzy relations of things.

WESDAC-D20ME At present, China’s intelligent field is the weakest, the most need to develop instruments, meters, sensors and other basic industries. With the rapid development of science and technology and the continuous improvement of the degree of automation, China’s instrument industry will also undergo new changes and obtain new development. The high-tech and especially intelligent instrumentation products will become the mainstream of the development of instrumentation technology and industry in the future.

Based on the theory of intelligent control, intelligent instrumentation has roughly made progress in the following aspects:

Expert controller

expertcontrolsystem (ECS) is a typical knowledge-based controlsystem, which is a program system with a lot of specialized knowledge and experience. It uses artificial intelligence technology and computer technology to reason and judge according to the knowledge and experience provided by one or more experts in a certain field, simulates the decision-making process of human experts, and solves complex problems that require human experts to solve well.

Fuzzy controller

Fuzzy Controller (FC-Fuzzy Controller), also known as Fuzzy Logic Controller (FLC-Fuzzy Logic controller). Because fuzzy control technology has the ability to deal with uncertainty, imprecision and fuzzy information, it can effectively control the controlled process that cannot be built mathematical model, and can solve some problems that cannot be solved by conventional control methods, so fuzzy control has been widely used in the field of industrial control.

WESDAC-D20ME Neural network controller

The application of neural network in industrial control system improves the information processing ability of the system and improves the intelligence level of the system. The so-called neural network control, referred to as neural control, it refers to the use of neural network this technology to model complex nonlinear objects, or to act as a controller, or optimization calculation, or inference, or fault diagnosis and other work.

It should be noted that in the field of intelligent instrumentation, whether it is neuron network, fuzzy control or chaos control, although many articles have been published by Chinese scholars, there are not many rigorous and meticulous work and results of independent innovation. Some high-end instruments still need to be imported from abroad.