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2019

01/16

What is the development direction of detection and testing technology?

With the rapid development of industrial automation technology, intelligent detection technology is widely used in industrial automation, chemical, military, aerospace, communications, medical, electronics and other industries, is a particularly important branch of automation science and technology. As we all know, intelligent detection technology is a comprehensive technology developed on the basis of the use, development and production of instrumentation.


Intelligent detection systems are widely used in various stages of design, production, use and maintenance of various products, and play an important role in improving product performance and productivity, reducing production costs and overall production cycle costs.


1. The concept and composition of intelligent detection system

Intelligent detection technology

Intelligent detection is based on a variety of advanced sensor technologies, and is easy to integrate with computer systems, automatically complete data acquisition, processing, feature extraction and recognition, and a variety of analysis and calculations with the support of appropriate software. And to achieve the purpose of testing and troubleshooting the system performance. It is the result of the detection device mimicking human intelligence. It is a detection technology that combines computer technology, information technology and artificial intelligence.

Intelligent detection system

The intelligent detection system is a general term for a system that can automatically complete measurement, data processing, and display (output) test results. He is combined on the basis of the standard measurement and control system bus and instrument bus. The computer and the microprocessor are used as controllers to complete the operation procedures of collecting, transforming, processing and displaying performance data through test software. Multi-function, multi-parameter and other characteristics.


(1) Principle of intelligent detection system

The intelligent detection system has two information flows, one is the measured information flow, and the other is the internal control information flow. The transmission of the measured information flow in the system is not distorted or the distortion is within the allowable range.

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(2) Structure of intelligent detection system

The intelligent detection system consists of two major parts: hardware and software.

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1) Intelligent detection system hardware structure

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2) Intelligent detection system software composition

Contains main program and application function programs

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(3) The main theory of intelligent detection

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1) Hierarchical intelligent theory based on information theory

The three-level hierarchical hierarchical intelligent control system is operated by G. N. Saridis was proposed in 1977. The system consists of an organization level, a coordination level, and an execution level, following the principle of "increasing precision with intelligent decrement."

The organization level plays a leading role, involving the representation and processing of knowledge, mainly applying artificial intelligence; the coordination level plays a role between the organization level and the execution level, involving decision-making methods and their representation, using artificial intelligence and operations research to achieve control; The bottom layer has high control precision and uses conventional automatic control.

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2) Fuzzy system theory

Human beings are qualitative, fuzzy and inaccurate in their initial understanding of things. Therefore, it is of practical significance to introduce fuzzy information into intelligent detection control. The application of fuzzy logic in the field of control is called fuzzy control.

Its basic idea is to summarize the control strategy of a human subject to a specific controlled object or process into a series of control rules expressed in the form of "IF (condition) THEN", and obtain a control set through fuzzy reasoning, acting on the Control object or process.

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3) Neural network theory based on brain model

Artificial neural networks use bionics perspectives and methods to study advanced information processing in human brains and intelligent systems.

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4) Expert system based on knowledge engineering

Expert detection control can be defined as: the function of fuzzy expert intelligence, using the combination of expert system technology and control theory to design the detection control system.

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5) Rule-based human-like intelligent detection control

The core idea of human-like intelligent detection control is to use the computer to simulate human behavior in the process of detection and control, to maximize the identification and utilization of the feature information provided by the dynamic process of the control system, and to perform heuristic and intuitive reasoning, thus achieving the lack of precision. The objects of the model are effectively controlled. The basic principle is to imitate human heuristic intuitionistic logic, that is, to judge the current state of the system by feature identification, determine the control strategy, and perform multi-modal control.

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6) Comprehensive integration of various methods

Fuzzy neural network detection and control technology

Fuzzy expert detection control technology

Fuzzy PID detection and control technology

Neural network robust detection and control technology

Neural network adaptive detection and control technology

Multi-information fusion technology

Data search and mining technology

The wide application of detection and testing technology in high-tech fields has formed intelligent detection technology with modern characteristics. With the continuous growth of intelligent detection technology in high-tech fields, network, integration and intelligence will become the development direction of detection and testing technology.