A telemetry error compensation method for pollution emissions based on transfer entropy and adaptive fusion

A pollution emission and error compensation technology, which is applied in the direction of measuring devices, instruments, complex mathematical operations, etc., can solve the problem that the remote sensing measurement of mobile source exhaust gas is easily interfered by the external environment, and achieve the effect of improving the effect of error compensation

Active Publication Date: 2021-03-30
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0004] Aiming at the problem that the remote sensing measurement of mobile source exhaust gas is easily interfered by the external environment, the present invention proposes an error compensation method based on transfer entropy causal analysis and adaptive Kalman fusion estimation

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  • A telemetry error compensation method for pollution emissions based on transfer entropy and adaptive fusion
  • A telemetry error compensation method for pollution emissions based on transfer entropy and adaptive fusion
  • A telemetry error compensation method for pollution emissions based on transfer entropy and adaptive fusion

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Embodiment Construction

[0025] In order to make the technical innovations realized by the present invention easy to understand, the following combination figure 1 , the implementation of the present invention is further described in detail. The present invention aims to realize the measurement correction of the detection instrument under external multi-interference factors. According to the relevant theories of causal correlation analysis, adaptive fusion estimation and error modeling, the measurement results Carry out numerical analysis and optimal estimation, and then improve the validity of the measurement results of the remote sensing detection method under the interference of the external environment. The specific steps are as follows:

[0026] Step 1: Carry out correlation causality analysis on measurement sequence and interference sequence through transfer entropy.

[0027] Suppose Xn and Yn are two environmental disturbance change sequences and remote sensing measurement observation sequences...

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Abstract

The invention discloses an error compensation method for mobile source emission gas remote sensing measurement based on transfer entropy and adaptive fusion estimation. The error compensation method organically combines priori knowledge and an optimal estimation theory of a measured object and can obtain the optimal estimation of a true value from a noisy observation sequence. The error compensation method comprises the following steps: firstly, establishing a remote sensing measurement error prediction model under multiple interferences through an over-limit learning machine method; then, providing a virtual observation decomposition model and performing multi-sequence decomposition on the observation sequence by utilizing a virtual observation decomposition model; after that, transforming the actual measurement process into the multi-sensor virtual observation process and establishing a mathematical model for the multi-sensor virtual observation process; finally, performing fusion and reconstruction on multiple virtual observation sequences through introducing a transfer entropy and an adaptive Kalman filter to obtain the optimal estimation of a measurement sequence. The error compensation method disclosed by the invention can effectively compensate measurement errors caused by external environment interference and improve the environment applicability and the anti-interference ability of a remote sensing detection technology.

Description

technical field [0001] The invention relates to an error compensation method for remote sensing measurement of mobile source exhaust gas based on transfer entropy and adaptive fusion estimation, and belongs to the technical field of error compensation for gas remote sensing measuring instruments. Background technique [0002] Air pollution can be caused by stationary sources such as factory exhaust, or by mobile sources such as emissions from motor vehicles, mobile construction machinery, ships and aircraft. For stationary pollution source detection technology, biological methods can be used to reflect the degree of air pollution or chemical detection methods can be used to determine the concentration of pollutants, but these technologies are not directly applicable to mobile pollution sources. To address this challenge, remote sensing using optics has been proposed. This technique can retrieve the gas concentration based on the absorption characteristics of gas components ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/17G06F17/17
CPCG01N21/17G01N2021/1795G01N2201/12707G06F17/17
Inventor 蒋鹏华通席旭刚胡华佘青山刘俊许欢李添骄薛凌云林广任付越
Owner HANGZHOU DIANZI UNIV
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