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Intelligent pressure big data detection system based on Internet of Things

An intelligent detection and big data technology, applied in biological neural network models, force/torque/work measuring instruments, measuring devices, etc., can solve the problems affecting the accurate detection and reliable management of multi-point pressure, reduce mutual interference, high Prediction accuracy, the effect of reducing non-stationarity

Active Publication Date: 2022-04-15
HUAIYIN INSTITUTE OF TECHNOLOGY
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Problems solved by technology

[0003] The present invention provides a pressure big data intelligent detection system based on the Internet of Things. The present invention effectively solves the strong interference that the existing pressure detection is not based on multi-point pressure detection , large lag, and nonlinear uncertain systems have an impact on multi-point pressure detection, which greatly affects the accurate detection and reliable management of multi-point pressure

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  • Intelligent pressure big data detection system based on Internet of Things
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  • Intelligent pressure big data detection system based on Internet of Things

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Embodiment Construction

[0023] combined with Figure 1-5 , further describe the technical solution of the present invention:

[0024] 1. Design of the overall function of the system

[0025] The invention realizes the detection and prediction of pressure parameters, and the system consists of two parts: a parameter acquisition platform and a pressure big data processing subsystem. The parameter acquisition platform consists of a pressure parameter detection node, a gateway node, a field monitoring terminal, a cloud platform and a mobile app. The wireless communication between the detection node and the gateway node is realized by building a LoRa communication network between the detection node and the gateway node; The detection node sends the detected pressure parameters to the on-site monitoring terminal through the RS232 interface of the gateway node and processes the sensor data and predicts the pressure; the gateway node communicates with the cloud platform through NB-IoT and the cloud platform t...

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Abstract

The invention discloses a pressure big data intelligent detection system based on the Internet of Things, and the system is characterized in that the system comprises a parameter collection platform and a pressure big data processing subsystem, the system achieves the pressure detection and intelligent prediction, and improves the reliability and accuracy of pressure detection and prediction; according to the invention, the problem that accurate detection and reliable management of multi-point pressure are greatly influenced due to the fact that existing pressure detection is not influenced by an uncertain system which is strong in interference, large in lag and nonlinear according to multi-point pressure detection is effectively solved.

Description

technical field [0001] The invention relates to the technical field of automatic control equipment for pressure detection, in particular to a pressure big data intelligent detection system based on the Internet of Things. Background technique [0002] Pressure is an important parameter in control systems such as industry, agriculture and construction industries. The correct measurement and control of pressure is one of the necessary conditions to ensure the normal operation of the control system. The pressure measurement system is mainly composed of pressure transmitters, data collectors, signal processing systems, and terminal displays. It is a very important automatic on-site measurement system. It can convert pressure variables into standardized output signals that can be transmitted. Whether its measurement accuracy, performance and other indicators meet the requirements, whether it can accurately measure the pressure parameters of the equipment and reflect them in the c...

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Application Information

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IPC IPC(8): G06N3/04G16Y40/10G01L5/00
CPCY02P90/30
Inventor 宋佳文李吉祥陈天旭胡英凯王智贤吴佩师马从国丁晓红陈亚娟王建国周恒瑞周大森秦小芹张月红叶文芊金德飞
Owner HUAIYIN INSTITUTE OF TECHNOLOGY
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