Automatic flow checking device based on Internet of Things and steady-state curve algorithm and application thereof

An automatic inspection and Internet of Things technology, applied in the direction of testing/calibrating volume flow, etc., to achieve high data continuity, reduce errors and labor costs, and high compatibility

Pending Publication Date: 2022-05-03
SUNCERE INFORMATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0022] The present invention aims at the problem that the current air quality monitoring station must rely on manual inspection of a number of historical data to determine whether the operation of the station and the operation status of the equipment are abnormal, and provides a data quality assurance system based on the operation environment of the station and the operation status of the equipment. method, it is convenient to monitor the temperature, humidity and atmospheric pressure of the station, and can send an alarm in time to remind the relevant person in charge to carry out corresponding processing to ensure the quality of monitoring data

Method used

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  • Automatic flow checking device based on Internet of Things and steady-state curve algorithm and application thereof
  • Automatic flow checking device based on Internet of Things and steady-state curve algorithm and application thereof
  • Automatic flow checking device based on Internet of Things and steady-state curve algorithm and application thereof

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Embodiment

[0073] see Figure 1-9 Based on the flow automatic inspection and calibration device and system thereof based on the Internet of Things, the basic flow of the present invention is as follows figure 1 shown in the following steps:

[0074] (1) Selection of flowmeter type: Before checking the quality control of the particle flow, the operation and maintenance staff first opens the particle material control interface of the data acquisition terminal, and selects the type of flowmeter to match the flowmeter.

[0075] (2) WiFi device protocol matching: connect to the WiFi device, insert the slave into the flow meter, and connect the host to the data acquisition terminal. After the slave machine is connected, the device ID of the flowmeter can be displayed, indicating that the master-slave machine is ready for connection.

[0076] (3) Flow meter information check: Check the flow meter information at the data acquisition terminal to confirm that the information of each parameter is...

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Abstract

The invention relates to the technical field of flow checking and calibration of particulate matter measuring instruments, in particular to an automatic flow checking device based on the Internet of Things and a steady-state curve algorithm and application of the automatic flow checking device based on the Internet of Things. And continuously sliding values to calculate the standard deviation of each group of flow check data, determining a stable flow data group, and obtaining a flow check true value from the stable flow data group. The method is short in detection time, and can complete flow calibration and issue an inspection report by collecting data for three minutes.

Description

technical field [0001] The invention relates to the technical field of flow inspection and calibration of particle measuring instruments, in particular to an Internet of Things-based automatic flow inspection device and its steady-state curve algorithm and application. Background technique [0002] The particle monitor is an instrument used to measure the mass concentration of particulate matter suspended in the air. It can usually measure TSP, PM2.5, and PM10. It has been widely used in the monitoring of particle concentration in air environment quality, workplaces and vehicles. The accuracy of the monitoring results is greatly affected by the accuracy of the flow measurement. According to the test by the atmospheric monitoring laboratory of China Environmental Monitoring Station, when the sampling flow rate during monitoring is 5% lower than the set point flow rate, the monitoring results are 21.9% higher on average; When the sampling flow rate is 5% higher than the set po...

Claims

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Application Information

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IPC IPC(8): G01F25/10
Inventor 徐伟嘉卢志想王秀湉王美胡金强何赛
Owner SUNCERE INFORMATION TECH
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