A Correction Method for Data Abnormality in Atmospheric Monitoring System

A technology for atmospheric monitoring and data anomalies, applied in relational databases, database models, structured data retrieval, etc., can solve the problems of high communication system overhead and high error rate of collected data, and achieve improved efficiency, reduced performance consumption, and reduced resource consumption Effect

Pending Publication Date: 2020-03-20
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0005] Purpose of the invention: In view of the relatively high error rate of collected data of the environmental monitoring system in the above-mentioned prior art and

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  • A Correction Method for Data Abnormality in Atmospheric Monitoring System
  • A Correction Method for Data Abnormality in Atmospheric Monitoring System
  • A Correction Method for Data Abnormality in Atmospheric Monitoring System

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Embodiment Construction

[0051] In order to describe the technical solutions disclosed in the present invention in detail, further elaboration will be made below in conjunction with the accompanying drawings and specific embodiments of the description.

[0052] For the data obtained by the monitoring system of meteorological data and environmental data, there are generally the following characteristics:

[0053] (1) Outlier data mainly refers to the fact that there is a large deviation between the actual monitoring data and the average value of all monitoring data. Such data cannot correctly feed back the degree of environmental pollution and the actual situation of pollution. Therefore, in the environmental monitoring work judged to be abnormal data. In the current environmental monitoring work, the outlier data is mainly discriminated through data analysis and manual methods, and then it is dealt with by preliminary data verification or supplementary monitoring. As for whether the outlier data is in...

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Abstract

The invention discloses a data anomaly correction method in an atmospheric monitoring system. The method uses a minimum-maximum normalization method to preprocess feature data, and then combines the historical data of the node with the first-level anomaly detection algorithm based on information entropy to calculate The abnormal probability of the sensor node is obtained. When the abnormal probability of the node is higher than the threshold, the second level of abnormal detection algorithm based on K-means is executed to obtain the feature vector of the adjacent nodes of the node, and the clustering of the node and the adjacent nodes is performed. , calculate the distance between the node feature vector and the cluster center based on the clustering results, and judge whether the sensor node is normal or not. The method of the invention can detect the data collected by the sensor, and can also detect the abnormality occurring in the data transmission path of the atmospheric monitoring system, and can improve the data accuracy of the atmospheric monitoring system.

Description

technical field [0001] The invention belongs to atmospheric environment monitoring technology, in particular to a correction method for abnormal data in an atmospheric monitoring system. Background technique [0002] With the development and progress of social economy, environmental protection issues have gradually attracted people's attention. In order to improve the scientific nature of environmental protection work, environmental monitoring has become an important tool for environmental protection work and has made important contributions to environmental protection work. However, in the current environmental monitoring work in our country, it is difficult to avoid the occurrence of abnormal data. The existence of these data has caused certain obstacles to the improvement of the quality of environmental monitoring work. There are mainly three kinds of abnormal data in environmental monitoring, which are outlier data, unreasonable data, and data with large jumps. [0003]...

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Application Information

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IPC IPC(8): G06F16/215G06F16/28G06K9/62
CPCG06F16/215G06F16/285G06F18/23213
Inventor 叶小岭范瑜轩
Owner NANJING UNIV OF INFORMATION SCI & TECH
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