A dynamic calibration method for spatially distributed air quality navigation monitoring sensors

Abstract

The present invention relates to a dynamic calibration method of a space-distributed air quality navigation monitoring sensor, which is used to ensure the reliability of monitoring data, comprising the following steps: S1: selecting a primary fixed calibration reference point, and setting an appropriate calibration according to the monitored data Area range and time span; S2: Use the primary calibration reference point as the standard to calibrate the data of the navigation sensor that meets the requirements; S3: Mark the calibrated navigation sensor as the secondary mobile calibration reference point; S4: Use the secondary calibration reference point Move the calibration reference point as the standard, and dynamically search for nearby navigation sensors that meet the requirements for data calibration; S5: Repeat or repeat steps S2, S3, and S4 in the entire city until all navigation sensors are calibrated to complete a calibration process. Regular and sustainable calibration of the navigation sensor is carried out at a fixed calibration cycle. Compared with the prior art, the present invention has the advantages of less investment, time-saving and labor-saving calibration process, and high precision.

Description

technical field [0001] The invention relates to the field of urban air environment quality monitoring, in particular to a dynamic calibration method for spatially distributed air quality navigation monitoring sensors. Background technique [0002] The degree of air pollution directly determines the air quality, and the monitoring value of the concentration of pollutants in the air is an important basis for the evaluation index of air quality. Air pollution is a complex phenomenon, and the concentration of air pollutants at a specific time and place is affected by many factors. The emission of man-made pollutants from stationary and mobile pollution sources is one of the most important factors affecting air quality, including vehicle, ship, and aircraft exhaust, industrial pollution, residential living and heating, and garbage incineration. Urban development density, topography and weather are also important factors affecting air quality. [0003] Environmental monitoring t...

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Problems solved by technology

[0003] Environmental monitoring technology based on the advantages of fast response and low cost of sensors has developed rapidly and entered the stage of engineering application. However, the data accuracy and reliability of sensors are the bottlenecks that seriously restrict the development of this technology.

[0004] The Chinese patent with the application number CN201710127292.9 discloses a navigation monitoring system for spatially distributed urban air environment quality, which mentions a sensor calibration method. Although this method can achieve sensor calibration, this method only uses urban The fixed standard station (the setting location generally deviates from the road) is used as the reference point reference value, which cannot accurately reflect the actual situation of the calibrated point as the navigation monitoring on the urban road network, and the uniform correction method lacks individual considerations for different sensors, and cannot Realize dynamic correction and repeated verification, it is difficult to ensure data reliability

[0005] CN108414682A, CN110426493A etc. in the application have also proposed the calibration method based on the standard site, but they are all aimed at the fixed calibrated site as the object, without considering the particularity and applicable method of the mobile navigation monitoring point

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