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Miniature air station self-calibration method based on big data

A big data, self-calibration technology, applied in air quality improvement, standard gas analyzer, analysis of gas mixture, etc., can solve problems such as undescribed meteorological parameters, achieve easy programming, avoid irreversible recovery, and strong learning ability

Pending Publication Date: 2022-01-18
NAT INST OF METROLOGY CHINA +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The patent "air quality monitoring data calibration method, device, equipment and storage medium" (CN 110426493 A) proposes that when the meteorological data meets the steady-state requirements, air micro-station data calibration can be performed, but the patent does not describe detailed meteorological parameters

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  • Miniature air station self-calibration method based on big data
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  • Miniature air station self-calibration method based on big data

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Embodiment Construction

[0022] In order to facilitate the understanding of the present invention, the embodiments of the present invention will be described below in conjunction with the accompanying drawings. Those skilled in the art should understand that the following description is only for the convenience of explaining the present invention, not as a specific limitation on its scope.

[0023] image 3 Schematic diagram for the storage and calculation of ambient air monitoring data. In the self-calibration method of the present invention, after the data collection module collects data, it uploads to the big data platform through the communication module, and the data processing module runs on the big data platform.

[0024] The data acquisition module includes at least one high-precision device and several air micro-stations, and the at least one high-precision device is preferably a national control station or a provincial control station air monitoring device, and the at least one high-precisio...

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Abstract

The invention relates to a miniature air station self-calibration method based on big data. The method comprises the steps of: enabling a data processing module to carry out the judgment of the data, wind speed and the like of at least one set of high-precision equipment and a plurality of air micro stations, carrying out the condition judgment in sequence, and acquiring a data stream after the same environment gas condition is met; carrying out data preprocessing on the data stream by the data processing module; carrying out effective data judgment on the data stream by the data processing module; establishing a training model for an effective data sequence; establishing an evaluation model according to calibration parameters obtained by the training model; and selecting a calibration parameter from the evaluation model for result output, and correcting a monitoring value of an air micro-station by using the calibration coefficient to complete calibration and correction by the data processing module. According to the miniature air station self-calibration method, the calibration efficiency is improved, the calibration cost is saved, a method of storing multiple groups of calibration parameters is adopted, calibration errors caused by difference data are overcome, and the data reliability of model self-calibration is improved.

Description

technical field [0001] The invention belongs to the field of environmental protection, and in particular relates to a self-calibration method of a miniature air station based on big data. Background technique [0002] Environmental pollution, especially air pollution, not only brings serious ecological damage, but also threatens human life and health. At present, the established ambient air quality monitoring network mainly consists of national automatic monitoring stations for ambient air quality (referred to as "national control stations") and provincial automatic monitoring stations for ambient air quality (referred to as "provincial control stations"). The monitoring station (referred to as "air micro-station") is supplemented; the application of information technology such as the Internet of Things and big data can detect pollution sources in a timely manner and provide fast and effective decision-making support for fine-grained prevention and control of environmental p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00G01N15/06G01D21/02G06F30/27
CPCG01N33/0006G01N15/06G01D21/02G06F30/27Y02A50/20
Inventor 宋海宾吴丽马若梦林鸿马路遥
Owner NAT INST OF METROLOGY CHINA
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