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Power intelligent instrument industry for high - quality development into new power

Power intelligent instrument industry for high - quality development into new power

  • September 30,2019.

【 introduction 】 recently, in the second annual summit on the BBS, digital China baidu founder robin li said, the future no one enterprise can claim that has nothing to do with artificial intelligence, so every industry, an entrepreneur, to consider what is the most effective way, promote technology innovation ability, the artificial intelligence into a "food".Otherwise, you risk missing an era.The same is true for the instrumentation industry, which is an important part of manufacturing.

At present, many domestic and foreign manufacturers pay more and more attention to the development of intelligent instruments, set up automatic production lines, and to miniaturization, multi-function, artificial intelligence, virtualization and other directions to develop product technology.In terms of production mode, quanzhou has built 130 digital production lines, completed the production and sales of 1,160 domestic robots, promoted the application of 5,340 domestic numerical control systems, and created automatic feeding and unloading of jiahua robots and 3C drilling and tapping center production lines, as well as 3 intelligent manufacturing demonstration production lines.Zhejiang electric power science research institute of state grid power company has successfully developed an intelligent verification system for electricity meters. After the implementation of the project, the verification efficiency of electricity meters has been improved 58 times, the verification personnel has been reduced by more than 90%, and the operating cost has been reduced by 50%.Emerson has introduced a new version of smart meter self-calibration software for coriolis and electromagnetic flowmeters.The software provides flowmeter calibration on demand, enabling process engineers, technicians, and operators to focus on matters beyond the meter and make real-time decisions based on current industry advances in instrumentation and process diagnostics.

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