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Changes in the instrumentation industry under big data

Changes in the instrumentation industry under big data

  • March 11,2022.

In recent years, the concepts of "big data" and "cloud service" have been heated up in all walks of life, but in the most concentrated instrument industry is slightly quiet, so what changes can the concept of "big data" bring to the instrument industry?

In today's rapid development of the Internet of Things technology, a considerable part of people's activities are carried out through the Internet, from shopping to travel, from catering to entertainment. The biggest feature of the Internet is that all the activities of people on the Internet can be recorded.With the progress of computer and Internet technology, more and more things can be digitized.For example, the probes throughout every corner of the city street are the initial access point of the original behavior data, through a large amount of data collection and analysis, precautions can be proposed before the event, or improve the road design.So for the instrument industry with a small output value than the traditional industry, how to use big data is a problem worth thinking about.

1.Software is an instrument

Software is not new to replace hardware, for example, many optical microscopes, electron microscopes no longer have an eye piece, instead of looking directly on computer display devices.WIFI, 4G / 5G and other signal transmission mode replaces the traditional wired transmission mode, digital oscilloscope, power sensor, spectrum analyzer, voltage data recorder and other more and more hardware equipment is replaced by software and USB instruments.

Virtual instrument technology, Internet, Internet of Things, cloud computing and other high-end technologies are integrated into the instrument to form a cloud intelligent analysis and test system, and software manufacturing will replace the hardware manufacturing of large components.The future project of "Industry 4.0" is to control all processes from consumer demand to manufacturing through the deep application of ICT (information and communication technology) to achieve efficient production management.

2. Life cycle of instruments and equipment

Usually sell equipment, unless in the warranty period, otherwise beyond the warranty period is usually unknown, or only some big customers can get high frequency care, many products its health information even lifetime effective record and feedback, even have recorded its data is often not continuous.An important reason for such problems is that the information communication channels are not smooth, resulting in the high cost of information communication, users usually use the "endure" method to continue to use, or turn to buy products from other manufacturers.As for the problem of unimpeded information communication channels, due to the high development of Internet technology, it is receiving increasing attention and improvement.Internet technology can allow users to save a lot of intermediate links and direct feedback information to instrument research and development personnel.

Internet

3. More intelligent solutions to solve user application problems

In terms of instrument application, many users first need to be, " Do I want to solve the XXX problem?Is it reliable to help me solve this problem?"Instead of" professional questions about what indicators I want to measure, what standards to use, and what instruments to use."In particular, the production line testing instruments, import and export products, etc., the required testing results are often "yes" or "no", or "qualified", "or" unqualified ", which requires translating the needs of the previous users into solutions that can be connected in the testing field.Behind this result are a large number of resources to be integrated, such as standardized interpretation of massive standards, testing methods, testing institution qualifications and other information embedded into the software to give intelligent judgment on the test results.

in a word.In the background ofcloud computing and Internet technology, the data that it was difficult for the industry to collect and use has become easy to obtain. The strategic significance of big data technology is to professionally process these data after mastering huge data information, and realize the "value-added" of data after processing.

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