Carbon dioxide concentration measuring system based on ecological system carbon reserves

Abstract

The invention discloses a carbon dioxide concentration measurement system based on ecological system carbon reserves, and relates to the technical field of environmental monitoring, and the carbon dioxide concentration measurement system based on ecological system carbon reserves comprises a compensation module used for performing intervention modification on carbon dioxide concentration monitoring data. The environment temperature is collected through the temperature collection module and transmitted into the data analysis module for data extraction, and the linear compensation module calculates the influence of the environment temperature on the carbon dioxide concentration through a formula. Environmental atmospheric pressure data can be acquired and transmitted into the polynomial regression module for calculation through the pressure data acquisition module, and the influence of atmospheric pressure on the carbon dioxide concentration is calculated through a formula. And the modification module, the automatic compensation unit and the pressure compensation module are matched for use, so that the carbon dioxide concentration data monitored by the system can be automatically compensated and modified.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and in particular to a carbon dioxide concentration measurement system based on ecosystem carbon reserves. Background Art

[0002] There is an indirect relationship between ecosystem carbon storage and climate change. Changes in carbon storage affect ecosystem services, including the ability to regulate climate. If the carbon cycle undergoes major changes, it may reduce the earth's natural carbon absorption capacity, affecting climate stability and biodiversity. When conducting scientific monitoring of the ecological environment, it is necessary to use a carbon dioxide concentration measurement system to conduct scientific monitoring of the carbon storage of the ecological environment.

[0003] A carbon dioxide concentration measurement system is needed for scientific monitoring of the ecological environment. Among them, the "A large-scale carbon dioxide monitoring system based on wireless sensor networks" disclosed in the publication number "CN101881762B" has solved the current problems of carbon dioxide content monitoring in complex environments, such as forests, pastures, parks, etc., which generally use special instruments and are carried out manually point by point, and cannot perform large-scale, real-time, and continuous measurements. The measurement has low accuracy, small range, and poor timeliness.

[0004] However, there are still many defects in the actual use of carbon dioxide concentration measurement systems with similar structures. For example, the existing technology is not convenient for accurate carbon dioxide concentration measurement under different environments, which makes the carbon dioxide concentration measurement system easily restricted by temperature and pressure environment, narrowing the scope of application of the system and reducing the measurement accuracy of the system. Therefore, it is necessary to design a carbon dioxide concentration measurement system based on ecosystem carbon reserves. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides a carbon dioxide concentration measurement system based on ecosystem carbon reserves to solve the above problems.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A carbon dioxide concentration measurement system based on ecosystem carbon storage includes:

[0007] A data processing center for calculating carbon dioxide concentration monitoring data;

[0008] A compensation module for intervening and modifying carbon dioxide concentration monitoring data;

[0009] An evaluation module for statistics and calculation of carbon dioxide concentration monitoring data;

[0010] The output processing center is connected to an installation module for encrypting data sent during system operation.

[0011] Preferably, the data processing center is connected to an NDIR sensor for monitoring the carbon dioxide concentration of the ecosystem, and the NDIR sensor is connected to a communication module for transmitting information.

[0012] Preferably, the data processing center includes a central processing unit for performing computational processing on system internal data, and the central processing unit is connected to a collaborative module for collaboratively controlling the operation of internal system equipment, a database for storing data generated by the system operation, and a data transceiver unit for receiving and sending data and logs generated by the system operation.

[0013] Preferably, the compensation module includes a temperature acquisition module for collecting temperature data around the ecological environment, and a pressure data acquisition module for collecting atmospheric pressure data around the ecological environment. The temperature acquisition module is connected to a data analysis module for calculating and collating the collected temperature data. The data analysis module is connected to a linear compensation module for calculating the collected temperature data. The linear compensation module is connected to an automatic compensation unit to fuse the calculated temperature data with the carbon dioxide concentration. The pressure data acquisition module is connected to a polynomial regression module to calculate the carbon dioxide concentration under different atmospheric pressure data. The polynomial regression module is connected to a pressure compensation module for fusing and collating the carbon dioxide concentration with different atmospheric pressure data. The pressure compensation module and the automatic compensation unit are connected to a modification module to compensate and modify the carbon dioxide concentration monitored by the system under different environments.

[0014] Preferably, the security module includes a feature extraction unit for extracting data packet information, the feature extraction unit is connected to an authentication module for encrypting and verifying the data packet, the authentication module is connected to a data encapsulation module for secondary encapsulation of the authenticated data packet, and the data encapsulation module is connected to a message transmission unit for data transmission.

[0015] Preferably, the evaluation module includes a data collection unit for acquiring carbon dioxide concentration data for different time periods, the data collection unit is connected to a networked time unit for using network time and calibrating the internal time of the system, the networked time unit is connected to a weighting unit for calculating carbon dioxide concentration data for different time periods, and the weighting unit is connected to a graphic output module for outputting tabular information.

[0016] Preferably, the linear compensation module adopts a linear temperature compensation formula, specifically: the uncompensated carbon dioxide concentration measurement value is C uncorrected , the temperature is T, the compensated carbon dioxide concentration is C corrected , the linear compensation formula can be expressed as C corrected =aT+bCuncorrected +C, where a, b, and c are coefficients to be determined, expressed as:

[0017] Preferably, the polynomial regression module uses a polynomial regression model to calculate a more complex nonlinear relationship using a polynomial regression model: the relationship between the carbon dioxide concentration measurement value N and the pressure P can be expressed as: N = bP 2 +nP+m.

[0018] Preferably, the weighting unit calculates the average value of the carbon dioxide concentration in the environment in different time periods, and sets the CO 2 The concentrations are Rppm, Oppm, Pppm, Mppm, and the average Weighted Average: Beneficial Effects

[0019] The present invention provides a carbon dioxide concentration measurement system based on ecosystem carbon storage. Compared with the prior art, it has the following beneficial effects:

[0020] 1. The carbon dioxide concentration measurement system based on ecosystem carbon storage provided by the present invention monitors the ambient temperature in real time through the temperature acquisition module and transmits it to the data analysis module. The data analysis module can extract the ambient carbon dioxide concentration and ambient temperature data and transmit them to the linear compensation module for calculation. corrected =aT+bC uncorrected +C formula calculates the effect of ambient temperature on carbon dioxide concentration. The pressure data acquisition module can collect ambient atmospheric pressure data and transmit it to the polynomial regression module for calculation, and N=bP 2 +nP+m formula is used to calculate the influence of atmospheric pressure on carbon dioxide concentration. The modification module, automatic compensation unit and pressure compensation module can be used together to automatically compensate and modify the carbon dioxide concentration data monitored by the system, thereby realizing the function of improving the accuracy of carbon dioxide concentration monitoring and avoiding the problem of inaccurate carbon dioxide concentration monitoring data caused by the device being easily restricted by ambient temperature, atmospheric pressure, etc., thereby improving the reliability of the system and expanding the scope of application of the system.

[0021] 2. The carbon dioxide concentration measurement system based on ecosystem carbon storage provided by the present invention can collect environmental carbon dioxide concentration and time through the data acquisition unit, and can call the carbon dioxide concentration data of a specified time period through the network time unit, and then adopt the weighting unit to The formula can carry out real-time monitoring of the average carbon dioxide concentration over a wide range of dates and the carbon dioxide concentration in a specified time period, thereby improving the intelligent effect of the system and making it easier to call the carbon dioxide concentration value in a specified time period according to usage needs.

[0022] 3. The carbon dioxide concentration measurement system based on ecosystem carbon reserves provided by the present invention can extract the header label of the system transmission data packet through the feature extraction module and transmit it to the authentication module, authenticate the data packet through the Advanced Encryption Standard symmetric encryption algorithm embedded in the authentication module, and perform secondary packaging operations on the data packet in conjunction with the data encapsulation module, and transmit the encrypted data packet through the message transmission unit, thereby realizing the function of security protection for device communication, avoiding device communication data leakage, and ensuring the reliable effect of using the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic diagram of the system principle of the present invention;

[0024] Figure 2 It is a schematic diagram of a data processing center of the present invention;

[0025] Figure 3 is a schematic diagram of an evaluation module of the present invention;

[0026] Figure 4 is a schematic diagram of a compensation module of the present invention;

[0027] Figure 5 It is a schematic diagram of the security module of the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] See also Figure 1-Figure 4 , providing two technical solutions:

[0030] First implementation method: A carbon dioxide concentration measurement system based on ecosystem carbon storage includes:

[0031] A data processing center for calculating carbon dioxide concentration monitoring data;

[0032] A compensation module for intervening and modifying carbon dioxide concentration monitoring data;

[0033] An evaluation module for statistics and calculation of carbon dioxide concentration monitoring data;

[0034] The output processing center is connected to an installation module for encrypting the data sent by the system operation.

[0035] The data processing center is connected to an NDIR sensor for monitoring the carbon dioxide concentration of the ecosystem, and the NDIR sensor is connected to a communication module for transmitting information;

[0036] The communication module can be used to transmit the NDIR sensor monitoring data to the data processing center for calculation and processing;

[0037] The data processing center includes a central processing unit for computing and processing the system's internal data, the central processing unit is connected to a collaborative module for collaboratively controlling the operation of the system's internal devices, a database for storing data generated by the system's operation, and a data transceiver unit for receiving and sending data and logs generated by the system's operation;

[0038] The high computing power of the central processing unit can facilitate the calculation of the data generated by the system operation, the collaborative module can facilitate the operation of the internal modules of the control system, the database can facilitate the storage and backup of the data generated by the system operation, and the data transceiver unit can facilitate the data transmission between the data processing center and the external communication equipment;

[0039] The compensation module includes a temperature acquisition module for collecting temperature data around the ecological environment, and a pressure data acquisition module for collecting atmospheric pressure data around the ecological environment. The temperature acquisition module is connected to a data analysis module for calculating and arranging the collected temperature data. The data analysis module is connected to a linear compensation module for calculating the collected temperature data. The linear compensation module is connected to an automatic compensation unit to fuse the calculated temperature data with the carbon dioxide concentration. The pressure data acquisition module is connected to a polynomial regression module to calculate the carbon dioxide concentration under different atmospheric pressure data. The polynomial regression module is connected to a pressure compensation module for fusing and arranging the carbon dioxide concentration with different atmospheric pressure data. The pressure compensation module and the automatic compensation unit are connected to a modification module to compensate and modify the carbon dioxide concentration monitored by the system under different environments.

[0040] The ambient temperature is monitored in real time through the temperature acquisition module and transmitted to the data analysis module. The ambient carbon dioxide concentration and ambient temperature data can be extracted through the data analysis module and transmitted to the linear compensation module for calculation. The ambient atmospheric pressure data can be collected through the pressure data acquisition module and transmitted to the polynomial regression module to deduce the influence of atmospheric pressure on carbon dioxide concentration. The system can automatically compensate and modify the carbon dioxide concentration data monitored by the modification module, automatic compensation unit and pressure compensation module, thus realizing the function of improving the accuracy of carbon dioxide concentration monitoring.

[0041] The evaluation module includes a data collection unit for obtaining carbon dioxide concentration data for different time periods, the data collection unit is connected to a network time unit for using network time and calibrating the internal time of the system, the network time unit is connected to a weighting unit for calculating carbon dioxide concentration data for different time periods, and the weighting unit is connected to a graphic output module for outputting table information;

[0042] The data collection unit can collect the environmental carbon dioxide concentration and time, and the network time unit can call the carbon dioxide concentration data of the specified time period, and then the weighted average can be used through the weighting unit: Among them, e 1 , e 2 , e 3 , e 4 , which are the lengths of four time periods respectively. Through weighted averaging, the average carbon dioxide concentration over a wide range of dates and the carbon dioxide concentration in a specified time period can be monitored in real time, thus improving the intelligent effect of the system and facilitating the calling of the carbon dioxide concentration value in a specified time period according to usage requirements.

[0043] The linear compensation module uses a linear temperature compensation formula, specifically: the uncompensated carbon dioxide concentration measurement value is C uncorrected , the temperature is T, the compensated carbon dioxide concentration is C corrected , the linear compensation formula can be expressed as C corrected =aT+bC uncorrected +C, where a, b, and c are the coefficients to be determined. The coefficients a, b, and c in the compensation formula are determined using the least squares method through experimental data at different temperatures. The goal of the least squares method is to minimize the sum of squares of the difference (error) between the actual concentration of all data points and the compensated concentration calculated by these coefficients, expressed as:

[0044] The polynomial regression module uses a polynomial regression model to deduce more complex nonlinear relationships: the relationship between the measured value of carbon dioxide concentration N and pressure P can be expressed as: N = bP2 +nP+m, b, n, m are coefficients of each polynomial determined according to experimental data, and each polynomial coefficient is determined according to experimental data;

[0045] The weighted unit calculates the average value of the carbon dioxide concentration in the environment in different time periods and sets the CO 2 The concentrations are Rppm, Oppm, Pppm, Mppm, and the average

[0046] The second implementation mode is mainly different from the first implementation mode in that: the security module includes a feature extraction unit for extracting data packet information, the feature extraction unit is connected to an authentication module for encrypting and verifying the data packet, the authentication module is connected to a data encapsulation module for secondary encapsulation of the authenticated data packet, and the data encapsulation module is connected to a message transmission unit for data transmission.

[0047] The feature extraction module can be used to extract the header label of the system data packet and transmit it to the authentication module. The data packet can be authenticated through the Advanced Encryption Standard symmetric encryption algorithm embedded in the authentication module. The data packet can be re-encapsulated in conjunction with the data encapsulation module and the encrypted data packet can be transmitted through the message transmission unit, thus realizing the function of security protection for device communications.

[0048] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0049] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A carbon dioxide concentration measurement system based on ecosystem carbon storage, characterized in that: include: A data processing center for calculating carbon dioxide concentration monitoring data; A compensation module for intervening and modifying carbon dioxide concentration monitoring data; An evaluation module for statistics and calculation of carbon dioxide concentration monitoring data; The output processing center is connected to an installation module for encrypting data sent during system operation.

2. A carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1, characterized in that: The data processing center is connected to an NDIR sensor for monitoring the carbon dioxide concentration of the ecosystem, and the NDIR sensor is connected to a communication module for transmitting information.

3. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1 is characterized in that: The data processing center includes a central processing unit for performing calculations and processing on system internal data, the central processing unit is connected to a collaborative module for collaboratively controlling the operation of internal system equipment, a database for storing data generated by system operation, and a data transceiver unit for receiving and sending data and logs generated by system operation.

4. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1 is characterized by: The compensation module includes a temperature acquisition module for collecting temperature data around the ecological environment, and a pressure data acquisition module for collecting atmospheric pressure data around the ecological environment. The temperature acquisition module is connected to a data analysis module for calculating and collating the collected temperature data. The data analysis module is connected to a linear compensation module for calculating the collected temperature data. The linear compensation module is connected to an automatic compensation unit to fuse the calculated temperature data with the carbon dioxide concentration. The pressure data acquisition module is connected to a polynomial regression module to calculate the carbon dioxide concentration under different atmospheric pressure data. The polynomial regression module is connected to a pressure compensation module for fusing and collating the carbon dioxide concentration with different atmospheric pressure data. The pressure compensation module and the automatic compensation unit are connected to a modification module to compensate and modify the carbon dioxide concentration monitored by the system under different environments.

5. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1 is characterized by: The security module includes a feature extraction unit for extracting data packet information, the feature extraction unit is connected to an authentication module for encrypting and verifying the data packet, the authentication module is connected to a data encapsulation module for performing secondary encapsulation processing on the authenticated data packet, and the data encapsulation module is connected to a message transmission unit for data transmission.

6. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1 is characterized by: The evaluation module includes a data collection unit for acquiring carbon dioxide concentration data for different time periods, the data collection unit is connected to a network time unit for using network time and calibrating the internal time of the system, the network time unit is connected to a weighting unit for calculating carbon dioxide concentration data for different time periods, and the weighting unit is connected to a graphic output module for outputting table information.

7. A carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 4, characterized in that: The linear compensation module adopts a linear temperature compensation formula, specifically: the uncompensated carbon dioxide concentration measurement value is C uncorrected , the temperature is T, the compensated carbon dioxide concentration is C corrected , the linear compensation formula can be expressed as C corrected =aT+bC uncorrected +C, where a, b, and c are coefficients to be determined, expressed as:

8. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 4 is characterized by: The polynomial regression module uses a polynomial regression model to calculate more complex nonlinear relationships: the relationship between the carbon dioxide concentration measurement value N and the pressure P can be expressed as: N = bP 2 +nP+m.

9. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 6, characterized in that: The weighting unit calculates the average value of the carbon dioxide concentration in the environment in different time periods, and sets the CO2 concentrations of the four time periods to Rppm, Oppm, Pppm, and Mppm respectively. Weighted Average:

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