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Intelligent automation technology in the application of the instrument and measurement

by:Sincerity     2020-11-14
Abstract: the intelligent automation technology in the application of instrumentation and measurement information produced by excellent flow meter, flow meter manufacturer to offer you the quotation. The application of intelligent automation technology is a comprehensive seep into the instrument and meter industry. 1, in the instrument structure and performance improvement first of all, the application of intelligent automation technology for the application of instrumentation and measurement of related fields opened up a broad prospect. Use the think tank. More flow meter manufacturers choose model price quote you are welcome to inquire, here is a smart automation technology in the application of instrumentation and measurement, the article details. The application of intelligent automation technology is a comprehensive seep into the instrument and meter industry. 1, in the instrument structure and performance improvement first of all, the application of intelligent automation technology for the application of instrumentation and measurement of related fields opened up a broad prospect. Using intelligent software and hardware, make each instrument or instrument can accurately analyze, deal with the current and previous data information, properly from high, medium and low different level to the abstract of measurement process, in order to improve the performance and efficiency of the existing measurement system, extend the functionality of the traditional measurement system, such as using neural network, genetic algorithms, evolutionary computation and chaos control, intelligent technology, make the instrument to achieve high speed, high efficiency, multi-function, high flexible performance, etc. Second, also can be in the dispersed system of different instrument adopts microchip technology such as microprocessor, microcontroller, the design of fuzzy control procedure, set up the critical value of various measurement data, the fuzzy rules of fuzzy reasoning technology, various of things fuzzy relation between various kinds of fuzzy decision. Its advantage is not set up the mathematical model of controlled object, also do not need a lot of testing data, only according to experience, summed up a suitable control rules, the application of chip offline calculation, on-site commissioning, according to our needs and produce accurate precision analysis and the control action on time. Especially in the sensor, the application of intelligent automation technology is more extensive. Use software to realize signal filtering, such as fast Fourier transform, short-time Fourier transform, wavelet transform technology, is to simplify the hardware, improve signal-to-noise ratio, the effective ways to improve the dynamic characteristics of sensor, but need to determine the dynamic mathematical model of sensor, poor real-time performance and high order filter. Using the neural network technology, which can realize high-performance autocorrelation filtering and adaptive filtering. Make full use of the technique of artificial neural network is a strong ability of self-learning, adaptive, self-organizing, lenovo, memory function and the nonlinear complex relationship between the input and output of the black box of mapping features, whether in the applicability and rapid real time and so on various aspects will be considerably more than complex functional, can make full use of multi-sensor resources, integrated to obtain a more accurate, more reliable conclusions. With real-time and non real-time, fast and slow, fuzzy and uncertainty of data information, can support each other, also may contradict each other, at this point, the object feature extraction and fusion, until zui final decision, make the right judgment, will be difficult. Then the neural network and fuzzy logic will become zui to choose the method. Gas sensor array is used in the mixed gas recognition, for example, in the signal processing methods can use self-organizing mapping network and BP network, the combination of classification, first to identify components, the traditional method of fitting into piecewise fitting all the way, to reduce the complexity of the algorithm, improve the recognition rate. As another example, the difficulty of signal detection and identification of food taste, was once the main impediment to research and development unit. Now can use wavelet transform to data compression and feature extraction, and then the data input of the fuzzy neural network can be trained using genetic algorithm, has greatly improved the recognition rate of simple compound flavor. Again, such as, in the evaluation of cloth fabric quality, flexible manipulator to touch signal processing, machine fault diagnosis field, intelligent automation technology have made a lot of successful examples. 2, in the application of virtual instrument structure design of the combination of instruments and measurement technology and computer technology, not only greatly improve the measurement accuracy and automation level, especially in computer hardware to soften and software modular of the rapid development of virtual instrument, the unification of the resources and the network system program and optimize the distribution of performance, for the rapid improvement in the level of intelligent instruments and meters, created more and more advantageous conditions. In the instrument structure design, the instrument manufacturers in the past are in source code form to provide customers with intelligent virtual instrument is an instrument driver, plug and play in order to simplify the zui end user's operation and development process, constantly improve the operation efficiency, and quality of the programming and programming flexibility, related instrument manufacturer in VXI plug and play bus standard drive instrument made on the basis of a new intelligent instrument driver software specification, on the structure and performance of virtual instruments for the following improvement in many aspects.
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