CN-121997518-A - Carbon dioxide monitoring distribution optimizing method and device based on optical fiber sensing technology

CN121997518ACN 121997518 ACN121997518 ACN 121997518ACN-121997518-A

Abstract

The application provides a carbon dioxide monitoring distribution optimizing method and device based on an optical fiber sensing technology, which relate to the field of carbon dioxide monitoring and comprise the steps of acquiring carbon dioxide monitoring data in a monitoring range; and carrying out point setting simulation measurement and calculation according to the optimal point setting position to obtain a point setting optimization scheme, and carrying out monitoring point setting optimization. The application can analyze the current monitoring data and the historical monitoring data of the carbon dioxide, determine the optimal point distribution position of the optical fiber sensor and feed back the optimal point distribution position to the terminal of monitoring personnel.

Inventors

XIAO JINGWEN
WU XIAO
LIU RUNCHANG
LIU YANGCHI
HUANG LINGLING

Assignees

中国石油天然气股份有限公司

Dates

Publication Date: 20260508
Application Date: 20241105

Claims (17)

1. The carbon dioxide monitoring distribution optimizing method based on the optical fiber sensing technology is characterized by comprising the following steps of: Acquiring carbon dioxide monitoring data in a monitoring range; carrying out statistical analysis on the monitoring data to determine the optimal distribution point position of carbon dioxide monitoring; And carrying out point distribution simulation measurement and calculation according to the optimal point distribution position to obtain a point distribution optimization scheme, and carrying out monitoring point distribution optimization.
2. The method for optimizing carbon dioxide monitoring distribution point based on the optical fiber sensing technology according to claim 1, wherein the carbon dioxide monitoring data comprises current monitoring data, and the acquiring the carbon dioxide monitoring data in the monitoring range comprises the following steps: determining the monitoring range according to the initial point distribution position of the optical fiber sensor; And sensing the air environment in the monitoring range in real time through the optical fiber sensor to obtain the current monitoring data.
3. The method for optimizing carbon dioxide monitoring distribution point based on the optical fiber sensing technology according to claim 1, wherein the carbon dioxide monitoring data comprises current monitoring data and historical monitoring data, and after the carbon dioxide monitoring data in the monitoring range is obtained, the method comprises the following steps: Preprocessing the current monitoring data and the historical monitoring data, wherein the preprocessing comprises data cleaning, outlier processing, missing value processing and data conversion; and storing the preprocessed current monitoring data and the preprocessed historical monitoring data.
4. The method for optimizing carbon dioxide monitoring and distribution based on optical fiber sensing technology according to claim 3, wherein the step of performing statistical analysis on the monitoring data to determine an optimal distribution position for carbon dioxide monitoring comprises the steps of: performing point aggregation analysis on the current monitoring data to obtain the optimal point distribution position, or And carrying out characteristic analysis on the historical monitoring data to obtain the optimal point distribution position.
5. The method for optimizing carbon dioxide monitoring and distribution based on optical fiber sensing technology according to claim 4, wherein the performing the point aggregation analysis on the current monitoring data to obtain the optimal distribution position comprises: Performing point aggregation analysis on the current monitoring data to obtain a maximum value and a minimum value in the current monitoring data, wherein the maximum value corresponds to an optimal point, and the minimum value corresponds to a worst point; And constructing a standard element matrix according to the optimal point, the worst point and the expected point, drawing a point aggregation diagram, and determining the optimal point distribution position in the point aggregation diagram.
6. The method for optimizing carbon dioxide monitoring and distribution point based on optical fiber sensing technology according to claim 4, wherein the performing characteristic analysis on the historical monitoring data to obtain the optimal and distribution point position comprises: Analyzing the relevance, regularity and trending among the historical monitoring data; and determining the optimal point distribution position according to the relevance, regularity and tendency.
7. The carbon dioxide monitoring and point setting optimization method based on the optical fiber sensing technology according to claim 1, wherein the performing point setting simulation measurement according to the optimal point setting position to obtain a point setting optimization scheme, and performing monitoring and point setting optimization comprises the following steps: Performing point setting simulation on the optimal point setting position, analyzing the monitoring effect of carbon dioxide monitoring point setting after executing the current point setting optimization scheme, and determining the point setting optimization scheme; And feeding back the monitoring effect and the point distribution optimization scheme to a monitoring terminal so as to adjust the initial point distribution position of the optical fiber sensor.
8. Carbon dioxide monitoring distribution optimizing device based on optical fiber sensing technology, characterized by comprising: the monitoring data acquisition unit is used for acquiring carbon dioxide monitoring data in a monitoring range; The point distribution analysis unit is used for carrying out statistical analysis on the monitoring data and determining the optimal point distribution position of carbon dioxide monitoring; and the point distribution optimizing unit is used for carrying out point distribution simulation measurement and calculation according to the optimal point distribution position to obtain a point distribution optimizing scheme and carrying out monitoring point distribution optimization.
9. The carbon dioxide monitoring and distribution optimizing device based on the optical fiber sensing technology according to claim 8, wherein the carbon dioxide monitoring data comprises current monitoring data, and the monitoring data acquisition unit comprises: The monitoring range determining module is used for determining the monitoring range according to the initial point distribution position of the optical fiber sensor; and the monitoring data acquisition module is used for sensing the air environment in the monitoring range in real time through the optical fiber sensor to obtain the current monitoring data.
10. The carbon dioxide monitoring and distribution optimizing device based on the optical fiber sensing technology according to claim 8, wherein the carbon dioxide monitoring data comprises current monitoring data and historical monitoring data, the monitoring data acquisition unit further comprises: the preprocessing module is used for preprocessing the current monitoring data and the historical monitoring data, wherein the preprocessing operation comprises data cleaning, outlier processing, missing value processing and data conversion; And the monitoring data storage module is used for storing the current monitoring data and the historical monitoring data after the pretreatment.
11. The carbon dioxide monitoring and point distribution optimizing device based on the optical fiber sensing technology according to claim 10, wherein the point distribution analyzing unit comprises: A point aggregation analysis module for performing point aggregation analysis on the current monitoring data to obtain the optimal point distribution position, or And the association analysis module is used for carrying out characteristic analysis on the historical monitoring data to obtain the optimal point distribution position.
12. The carbon dioxide monitoring and distribution optimizing device based on the optical fiber sensing technology according to claim 11, wherein the point aggregation analysis module comprises: The system comprises a current monitoring data acquisition module, a maximum value analysis module and a comparison module, wherein the current monitoring data is subjected to point aggregation analysis to obtain a maximum value and a minimum value in the current monitoring data, the maximum value corresponds to an optimal point, the minimum value corresponds to a worst point, and the average value of the maximum value and the minimum value corresponds to an expected point; And the first optimal point distribution generating module is used for constructing a standard element matrix according to the optimal point, the worst point and the expected point, drawing a point aggregation diagram, and determining the optimal point distribution position in the point aggregation diagram.
13. The carbon dioxide monitoring and distribution optimizing device based on the optical fiber sensing technology according to claim 11, wherein the association analysis module comprises: The property analysis module is used for analyzing the relevance, regularity and trending among the historical monitoring data; And the second optimal point setting generation module is used for determining the optimal point setting position according to the relevance, the regularity and the trend.
14. The carbon dioxide monitoring and point distribution optimizing device based on the optical fiber sensing technology according to claim 8, wherein the point distribution optimizing unit comprises: The monitoring effect analysis module is used for carrying out point setting simulation on the optimal point setting position, analyzing the monitoring effect of carbon dioxide monitoring point setting after the current point setting optimization scheme is executed, and determining the point setting optimization scheme; And the monitoring point distribution optimizing module is used for feeding back the monitoring effect and the point distribution optimizing scheme to the monitoring terminal so as to adjust the initial point distribution position of the optical fiber sensor.
15. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the carbon dioxide monitoring and point distribution optimization method based on the optical fiber sensing technology as claimed in any one of claims 1 to 7 when executing the program.
16. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor implements the steps of the carbon dioxide monitoring and spot-optimizing method based on the optical fiber sensing technology as claimed in any one of claims 1 to 7.
17. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the carbon dioxide monitoring and point distribution optimization method based on the fiber optic sensing technology as claimed in any one of claims 1 to 7.

Description

Carbon dioxide monitoring distribution optimizing method and device based on optical fiber sensing technology Technical Field The application relates to the field of carbon dioxide monitoring, in particular to a carbon dioxide monitoring distribution optimizing method and device based on an optical fiber sensing technology. Background The application of the optical fiber sensing technology in air monitoring is performed by setting monitoring points. The optical fiber sensor is utilized to sense and transmit environmental parameter data in real time, so that real-time on-line monitoring of air quality and tracking and early warning of potential danger can be realized. The application of the optical fiber sensing technology not only improves the precision and efficiency of environmental monitoring, but also is beneficial to timely taking measures to cope with the air pollution problem. However, the following problems still exist in the current monitoring of carbon dioxide in air by utilizing an optical fiber sensing technology, and the existing optical fiber sensor has unreasonable distribution points and uneven distribution points. These problems easily lead to inaccuracy in the monitoring data, and thus the air quality cannot be accurately monitored, and further an accurate and scientific basis cannot be provided for air treatment. This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section. Disclosure of Invention Aiming at the problems in the prior art, the application provides a carbon dioxide monitoring point distribution optimizing method and device based on an optical fiber sensing technology, which can analyze current monitoring data and historical monitoring data of carbon dioxide, determine the optimal point distribution position of an optical fiber sensor and feed back to the terminal of monitoring personnel. In order to solve the technical problems, the application provides the following technical scheme: In a first aspect, the present application provides a carbon dioxide monitoring and distribution optimization method based on an optical fiber sensing technology, including: Acquiring carbon dioxide monitoring data in a monitoring range; carrying out statistical analysis on the monitoring data to determine the optimal distribution point position of carbon dioxide monitoring; And carrying out point distribution simulation measurement and calculation according to the optimal point distribution position to obtain a point distribution optimization scheme, and carrying out monitoring point distribution optimization. Further, the carbon dioxide monitoring data comprises current monitoring data, and the acquiring of the carbon dioxide monitoring data in the monitoring range comprises the following steps: determining the monitoring range according to the initial point distribution position of the optical fiber sensor; And sensing the air environment in the monitoring range in real time through the optical fiber sensor to obtain the current monitoring data. Further, the carbon dioxide monitoring data comprises current monitoring data and historical monitoring data, and after the carbon dioxide monitoring data in the monitoring range is obtained, the monitoring data comprises: Preprocessing the current monitoring data and the historical monitoring data, wherein the preprocessing comprises data cleaning, outlier processing, missing value processing and data conversion; and storing the preprocessed current monitoring data and the preprocessed historical monitoring data. Further, the statistical analysis is performed on the monitoring data to determine an optimal point location for monitoring carbon dioxide, including: performing point aggregation analysis on the current monitoring data to obtain the optimal point distribution position, or And carrying out characteristic analysis on the historical monitoring data to obtain the optimal point distribution position. Further, the performing the point aggregation analysis on the current monitoring data to obtain the optimal point distribution position includes: Performing point aggregation analysis on the current monitoring data to obtain a maximum value and a minimum value in the current monitoring data, wherein the maximum value corresponds to an optimal point, and the minimum value corresponds to a worst point; And constructing a standard element matrix according to the optimal point, the worst point and the expected point, drawing a point aggregation diagram, and determining the optimal point distribution position in the point aggregation diagram. Further, the performing characteristic analysis on the historical monitoring data to obtain the optimal point distribution position includes: Analyzing the relevance, regularity and trending among the historical monitoring data; and determining the optimal point dist