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Earthen site monitoring data correcting and fitting method based on spatial and temporal correlation

A spatiotemporal correlation, monitoring data technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as poor accuracy and low efficiency

Inactive Publication Date: 2016-07-20
NORTHWEST UNIV
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AI Technical Summary

Problems solved by technology

[0005] In view of the poor accuracy and low efficiency of the data noise correction method and the missing data fitting method in the protection of earthen sites, the purpose of the present invention is to provide a method for correcting and fitting earthen site monitoring data based on time-space correlation to solve the existing The method has the shortcomings of poor accuracy and low efficiency, which improves the quality of the monitoring data of the earthen site and provides a reliable scientific basis for early warning and effective management of the risk of the earthen site

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  • Earthen site monitoring data correcting and fitting method based on spatial and temporal correlation
  • Earthen site monitoring data correcting and fitting method based on spatial and temporal correlation
  • Earthen site monitoring data correcting and fitting method based on spatial and temporal correlation

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Embodiment Construction

[0044] In conjunction with the flow process of the inventive method figure 1 , the specific content of the inventive method is as follows:

[0045] A method for correcting and fitting earthen site monitoring data based on temporal-spatial correlation, comprising the following steps:

[0046] Step 1, extract the historical data of the monitoring data of the current node, and use the forecasting algorithm to calculate the current forecast value based on the historical data; the historical data here can be selected for a period of time according to the actual processing requirements. A specific implementation process includes:

[0047] Step S10, read historical data, and calculate the proportion of historical data in different periods in the exponential smoothing value, that is, the smoothing coefficient α. The calculation formula is:

[0048] α = 1 - exp [ ln ...

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Abstract

The invention discloses an earthen site monitoring data correcting and fitting method based on spatial and temporal correlation. Spatial and temporal correlation analysis is performed by using predicted values of historical data and current detection data, the correctness of the current data is further judged, noise data are corrected, and missing values are fitted. The method is applied to the field of earthen site protection, realizes intelligent state monitoring of earthen sites, can accurately find and correct noise data and fit missing data trends especially for mass environmental data and earthen site ontology data and provides the scientific basis for risk early-warning and effective management of earthen sites.

Description

technical field [0001] The invention belongs to the technical field of data mining, and specifically relates to a method for processing environmental data of earthen ruins based on time-space correlation in the field of protection of earthen ruins of the Great Wall, which can be applied to data noise removal and missing data fitting to achieve the purpose of accurately evaluating risk factors. Background technique [0002] In the field of earth relic protection, in order to monitor the environmental data and ontology data of the earth relics, a large number of sensor nodes are usually arranged on the surface of the earth relics, such as: rain sensor nodes, soil temperature and humidity sensor nodes, soil salinity sensor nodes, etc., due to the harsh environment Reasons such as man-made damage and the stability of the node itself will cause some noise data and missing data during the data collection phase. In addition, after the node collects the data, the gateway will transm...

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Application Information

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IPC IPC(8): G06F19/00G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/0635G16Z99/00
Inventor 肖云王磊许鹏飞王欣王选宏王薇房鼎益陈晓江章勇勤
Owner NORTHWEST UNIV
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