On September 4, the 9th China Third Party Testing Laboratory Development Forum and Exhibition hosted by the Chinese Academy of Inspection and Quarantine was opened.
"Internet + Inspection and Detection Intelligence" Forum
The theme of this forum is “Internet+inspection and detection intelligenceâ€, explore the Internet+new models, new methods and new carriers, how to deepen the deep integration and development of inspection and certification and modern industrial system, and better serve the Internet + Development of quality assurance and security services.
Li Xinshi, head of the China Academy of Inspection and Quarantine, pointed out that the third-party testing market has a vast blue ocean, and he believes that relying on "Internet+inspection and detection intelligence," and make full use of mature technologies and models such as cloud computing and big data to manage the massive amount of storage. Professional data for deep cleaning, analysis, and mining.
Li Xinshi believes that the inspection and detection technology is integrated into the "Internet +" era background wall, integrated into the wave of artificial intelligence, to achieve the organic integration of the three, to derive new values, burst out new vitality, and promote the inspection and inspection industry. longterm development.
First, it is necessary to take advantage of the situation and use "Internet +" and "intelligence" to lead the development of third-party testing. At present, many third-party testing companies are actively integrating artificial intelligence and "Internet +" trends. However, the understanding of "Internet +" and "intelligence of inspection and inspection" is still generally biased.
Most agencies simply regard “Internet Plus†as a tool and means to improve management and service, stagnate at the low-level physical integration of “test and detection+Internetâ€, or regard artificial intelligence as improving efficiency. The expedient and technical means did not really put "Internet +" and artificial intelligence in their main positions and included them in the long-term development of inspection and testing.
In this age of interconnectedness and intelligence, artificial intelligence and “Internet Plus†will further liberate mankind from heavy, dangerous and repetitive labor, drive the transformation of various traditional industries, and promote the adjustment of industrial models. Greatly affect the future development of inspection and testing. It is expected that companies can combine inspection and inspection work practices to conduct in-depth discussions and exchanges, clarify the direction of development, and achieve a new leap from traditional inspection and inspection to “Internet +†and “intelligenceâ€.
The second is to take advantage of the trend and use “Internet +†and “intelligence†to enhance third-party testing and supply. Inspection and inspection cover a wide range of systems and complex systems. There are many fields with high risk and high risk, such as water rule inspection, radioactive material detection, nuclear and biochemical testing, and special equipment testing. We are delighted to see that in related fields, there have been many explorations using robots, drones, iron ore testing, hazardous chemicals inspections, etc., which not only improve the accuracy of inspection and inspection, but also strengthen the The protection effectively avoids the occurrence of danger and reflects the concern for human nature.
The third is to take advantage of the situation and use "Internet +" and "intelligent" to accelerate the integration of third-party testing resources. The integration of inspection, certification and certification institutions is a major reform task determined by the State Council, and it is also the only way for the inspection and inspection service industry to become bigger and stronger. "Internet +" and "intelligent" provide us with a way of thinking. With the characteristics of the openness and neutrality of the Internet, through the mining of big data, the status of the third party inspection industry is presented to the society objectively and completely. It provides a platform for the integration of existing third-party testing resources, such as interconnection, cooperation, and cooperation.
Fourth, it is necessary to generate momentum and use "Internet +" and "intelligence" to extend the third-party inspection value chain. The core of artificial intelligence is massive data mining. Inspection and inspection agencies have accumulated a large amount of professional inspection data in their hands. Today, “data is kingâ€, this is undoubtedly a valuable asset. Relying on “Internet +†and “intelligentâ€, we have fully utilized mature technologies and models such as cloud computing and big data to deeply clean, analyze, and excavate the massive professional data stored and stored. This is a third-party test that is driven from element-driven development to innovation. A once-in-a-lifetime opportunity for development transformation. Providing first-hand information for decision-making in relevant industries will become the key driver for extending the third-party testing value chain and promoting the third-party testing industry's transformation.
Xie Jun, Director of the Measurement Department of the General Administration of Quality Supervision, Inspection and Quarantine, pointed out in the report “Measurement Values ​​Define the World to Accurately Change the Future — Using Accurate Measurement Values ​​to Promote Quality Improvement.†All the work of inspection and inspection agencies can not be separated from the help of the value. The existence of a metrology system enables the legality and accuracy of reports issued by all institutions to be guaranteed. Measurements and inspections are inextricably linked. In the future, regardless of whether they are engaged in inspection and testing, certification services, or market-assisted services, they must all be aware of the legislation. At the same time, all measurement standards should be in line with international standards, and the measurement must be traceable and uniform. In addition, attention to value traceability. The traceability of the value is an important basis for the validation of the test report. Traceability is an important basis for linking the value to international standards.
Intelligent detection 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 an extremely 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 product design, production, use, maintenance, etc., and play an important role in improving product performance and productivity, reducing production costs and the entire production cycle cost.
1, the concept and composition of intelligent detection system
Intelligent detection technology
Intelligent detection technology is a kind of detection technology that minimizes the manual labor required. It is an integrated technology that depends on instrumentation and involves various disciplines such as physics and electronics. It can reduce people's intentional or unintentional interference with the test results and reduce the work pressure of the personnel, thus ensuring the reliability of the tested objects. The automatic detection technology mainly has two duties. On the one hand, through the automatic detection technology, the value of the detected object and its change trend can be directly obtained; on the other hand, the information of the detected object directly measured by the automatic detection technology is included. Consider the scope to make relevant decisions.
Testing and inspection is one of the most basic activities in the manufacturing process. Through inspection and inspection activities to provide product and manufacturing process quality information, in accordance with these information to modify the product manufacturing process, so that the rate of waste defective and anti-repair products to a minimum, to ensure the stability of the product quality formation process and output Product consistency.
Intelligent detection is based on a variety of advanced sensor technologies and is easy to integrate with computer systems. With appropriate software support, data acquisition, processing, feature extraction and identification, and multiple analysis and calculations are automatically completed. And to achieve the purpose of testing the system performance and fault diagnosis. It is the result of the detection device mimicking human intelligence. It is a detection technology developed by combining computer technology, information technology, and artificial intelligence.
Intelligent detection system
Intelligent detection system refers to a system that can automatically complete measurement, data processing, and display (output) test results. He is based on the combination of standard measurement and control system bus and instrument bus, and uses computer and microprocessor as controllers to complete performance data collection, transformation, processing, display and other operating procedures through test software, with high speed, Multi-functional, multi-parameter and other features.
(1) The 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 within the allowable range of distortion or distortion.
(2) Structure of Intelligent Detection System
Intelligent detection system consists of hardware and software.
1) Intelligent detection system hardware structure
2) The composition of intelligent detection system software
Contains main program and application function programs.
(3) The main theory of intelligent detection
1) Hierarchical Hierarchical Intelligence Theory Based on Information Theory
The three-level hierarchical intelligent control system is G. N. Saridis proposed in 1977. The system consists of an organization level, a coordination level, and an execution level, and follows the principle of “increasing accuracy with decreasing intelligenceâ€.
Organization level plays a leading role, involves the representation and processing of knowledge, and mainly applies artificial intelligence; the coordination level plays a connecting role between organizational level and executive level, involves decision-making methods and representations, uses artificial intelligence and operations research to achieve control; implementation level is The bottom layer, with high control accuracy, using conventional automatic control.
2) Fuzzy System Theory
Human beings' initial understanding of things is qualitative, vague and inaccurate. Therefore, it is of practical significance to introduce fuzzy information into intelligent detection and 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 expert on a specific controlled object or process into a series of control rules expressed in the form of “IF (condition) THEN (action)â€. Through fuzzy reasoning, the control function set is obtained. Control object or process.
3) Neural network theory based on brain model
The artificial neural network uses bionic viewpoints and methods to study advanced information processing in the human brain and intelligent systems.
4) Expert System Based on Knowledge Engineering
The expert detection control can be defined as: the function of fuzzy expert intelligence, using the method of expert system technology combined with control theory to design the detection control system.
5) Rule-based humanoid intelligent detection control
The core idea of ​​humanoid intelligent detection and control is to use the computer to simulate the human behavior in the process of detection and control, to identify and utilize the feature information provided by the dynamic process of the control system to the maximum, and to perform heuristic and intuitional reasoning so as to achieve lack of precision. The object of the model is effectively controlled. The basic principle is to imitate the human heuristic intuition reasoning logic, that is, to judge the current status of the system through feature identification, determine the control strategy, and perform multi-modal control.
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 extensive application of detection testing technology in high-tech fields has formed a modern detection technology with intelligent features. With the continuous growth of intelligent detection technologies in high-tech fields, networked, integrated, and intelligent will become the development direction of detection and testing technologies.
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