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Method for quickly calibrating air quality monitoring data based on wireless sensor network

A wireless sensor and air quality technology, applied in the direction of services, instruments, and measuring devices based on specific environments, can solve problems such as system errors and achieve the effect of eliminating system errors

Inactive Publication Date: 2018-08-17
DONGGUAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, based on the multi-dimensional air quality data collected by sensor nodes, there are inevitably certain systematic errors.

Method used

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  • Method for quickly calibrating air quality monitoring data based on wireless sensor network
  • Method for quickly calibrating air quality monitoring data based on wireless sensor network
  • Method for quickly calibrating air quality monitoring data based on wireless sensor network

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Embodiment Construction

[0037] A fast calibration method for air quality monitoring data based on wireless sensor network includes two stages: calculation of calibration parameters and real-time online calibration.

[0038] Calculation of calibration parameters. In the system error calibration module of the system, before node deployment, all sensor nodes and standard high-precision air quality acquisition equipment are placed in the same environment at the same time for long-term synchronous air quality acquisition and data acquisition; then each sensor node The environmental perception data and the environmental perception data of the high-precision equipment are recorded separately; next, the measured value of the high-precision equipment is taken as the real value, and the measured value of each sensor node is fitted with the real value by the least squares polynomial, and each Calibration equation parameters of sensor nodes, and finally save the calibration parameters.

[0039] The following ar...

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Abstract

The invention relates to an air quality monitoring technology, and especially relates to a method for quickly calibrating air quality monitoring data based on a wireless sensor network. The method comprises the following steps: environmental sensing data of every sensor node and a standard high-precision air quality collecting device are acquired; the calibration equation parameter of every sensornode is obtained by using a big data analysis platform, and is stored; a real-time online calibration subsystem receives the air quality monitoring data uploaded by the sensor nodes and establishes an air quality data feature vector set; and the big data analysis platform calculates the real-time air quality data according to the air quality data feature vector set and the stored calibration equation parameter. The method maximally reduces the systematic error of the multi-dimensional air quality data collected by the sensor nodes to quickly provide accurate air quality data, and can be applied to systems for monitoring the air quality in a self-perceived environment, cared by people, in real time and predicating life and medical weather indexes.

Description

technical field [0001] The invention relates to air quality monitoring technology, in particular to a wireless sensor network-based rapid calibration method for air quality monitoring data. Background technique [0002] The air quality monitoring system based on wireless sensor network uses the low-cost nodes and large-scale node deployment technology of wireless sensor network to monitor the air quality in the self-perception environment that people care about (such as: urban roadside, residential area or designated area). Continuous monitoring of multi-dimensional information enables the accurate use of air quality information and weather change information, and provides people with high-quality air quality monitoring services. Services include: real-time monitoring of air quality, forecasting of living and medical meteorological indexes. Among them, real-time air quality monitoring: including real-time air quality data and change trends. The main parameters include AQI i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00H04W4/38
CPCG01N33/0006H04W4/38
Inventor 潘晓衡袁华强
Owner DONGGUAN UNIV OF TECH
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