Carbon dioxide concentration measuring system based on ecological system carbon reserves
The carbon dioxide concentration measurement system, which utilizes multiple modules working in tandem, addresses the impact of environmental factors on measurement accuracy, achieving stable and precise measurements in complex ecosystems and enhancing the system's adaptability and measurement precision.
Patent Information
- Application Number
- CN202511873748.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-12
- Publication Date
- 2026-02-27
AI Technical Summary
Existing carbon dioxide concentration measurement systems are susceptible to interference from environmental factors, such as changes in temperature and air pressure, which affect measurement accuracy. Furthermore, they are difficult to operate stably and accurately in complex and diverse ecosystems.
It employs a data acquisition module, an environmental parameter acquisition module, an intelligent control module, a safety protection module, a remote monitoring and control module, and a CO2 concentration closed-loop control module. Combining the principles of non-dispersive infrared and data compensation algorithms, it corrects carbon dioxide concentration data in real time. It is equipped with anti-corrosion and moisture-proof layers to enhance system adaptability, and achieves dynamic adjustment through the remote monitoring and control module.
It effectively eliminates the influence of temperature and air pressure changes on measurement accuracy, enhances the system's adaptability and stability in harsh environments, and enables long-term, accurate carbon dioxide concentration measurement.
Smart Images
Figure CN121577835A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of environmental monitoring, specifically to a carbon dioxide concentration measurement system based on ecosystem carbon storage. Background Technology
[0002] In the context of global climate change, research on ecosystem carbon storage is crucial for understanding Earth's ecological balance and addressing climate change. As a major greenhouse gas, carbon dioxide's concentration changes in the atmosphere and various ecosystems profoundly impact global climate and the ecological environment. Accurate measurement of carbon dioxide concentration has become a key link in understanding the dynamics of ecosystem carbon cycles and assessing trends in carbon storage changes. Currently, various carbon dioxide concentration measurement technologies have emerged. Non-dispersive infrared (NDIR) technology is widely used, its principle being based on the absorption characteristics of carbon dioxide in specific infrared bands.
[0003] Within the scope of ecosystem carbon storage research, existing carbon dioxide concentration measurement systems are susceptible to interference from environmental factors. For example, changes in temperature and air pressure can significantly affect measurement accuracy. Fluctuations in ambient temperature can alter the thermal motion state of gas molecules, affecting their infrared absorption characteristics, thus leading to errors in measurement systems based on the principle of infrared absorption. Changes in air pressure can also alter gas density, similarly interfering with measurement results. Furthermore, different ecosystem environments are complex and diverse, ranging from hot and humid tropical rainforests to cold and dry alpine meadows, and then to high-salt and highly corrosive wetland environments. Existing measurement systems struggle to operate stably and accurately under various harsh environments. Therefore, this invention provides a carbon dioxide concentration measurement system based on ecosystem carbon storage. Summary of the Invention
[0004] To address the shortcomings of existing technologies, this invention provides a carbon dioxide concentration measurement system based on ecosystem carbon storage. This system solves the problem that existing carbon dioxide concentration measurement systems are susceptible to interference from environmental factors. For example, changes in temperature and air pressure significantly affect measurement accuracy. Fluctuations in ambient temperature alter the thermal motion of gas molecules, affecting their infrared absorption characteristics and leading to errors in measurement systems based on infrared absorption principles. Changes in air pressure also alter gas density, similarly interfering with measurement results. Furthermore, different ecosystems present complex and diverse environments, ranging from hot and humid tropical rainforests to cold and dry alpine meadows and high-salt and highly corrosive wetland environments. Existing measurement systems struggle to operate stably and accurately in various harsh environments.
[0005] To achieve the above objectives, the present invention provides the following technical solution: a carbon dioxide concentration measurement system based on ecosystem carbon storage, comprising a data acquisition module, an environmental parameter acquisition module, an intelligent control module, a safety protection module, a remote monitoring and control module, a CO2 concentration closed-loop control module, and a temperature model establishment module; the data acquisition module is used to collect carbon dioxide concentration data, the environmental parameter acquisition module is used to collect environmental parameters such as temperature, humidity, air pressure, and light intensity in real time, the intelligent control module is connected to both the data acquisition module and the environmental parameter acquisition module, and can compensate and correct the carbon dioxide concentration data collected by the data acquisition module in real time based on the parameters obtained by the environmental parameter acquisition module, the safety protection module is used to protect the system to adapt to different harsh ecological environments, and the remote monitoring and control module is connected to the intelligent control module, enabling remote monitoring and parameter control of the measurement system.
[0006] Preferably, the data acquisition module includes a carbon dioxide concentration sensor, which measures carbon dioxide concentration using the principle of non-dispersive infrared.
[0007] Preferably, the environmental parameter acquisition module includes a temperature sensor, a humidity sensor, a barometric pressure sensor, and a light sensor, each used to acquire corresponding environmental parameters.
[0008] Preferably, the intelligent control module is equipped with a data compensation algorithm, which can correct the carbon dioxide concentration data by combining temperature and air pressure parameters, so as to eliminate the influence of temperature and air pressure changes on measurement accuracy.
[0009] Preferably, the safety protection module includes an anti-corrosion layer and a moisture-proof layer, the anti-corrosion layer covering the surface of the metal components of the system, and the moisture-proof layer being disposed on the outside of the optical element.
[0010] Preferably, the remote monitoring and control module includes a cloud server and a client module. The cloud server is used to store measurement data, and the client module is connected to the cloud server through network communication technology to view and process the data.
[0011] Preferably, the CO2 concentration closed-loop control module is connected to the intelligent control module and can perform corresponding control and adjustment based on the corrected carbon dioxide concentration data.
[0012] Preferably, the temperature model building module is connected to the environmental parameter acquisition module and the intelligent control module, and can build a temperature influence model based on the historical and real-time temperature data obtained by the environmental parameter acquisition module.
[0013] Beneficial effects This invention provides a carbon dioxide concentration measurement system based on ecosystem carbon storage. Compared with existing technologies, it has the following advantages: (1) The carbon dioxide concentration measurement system based on ecosystem carbon storage, by setting up an intelligent control module and an environmental parameter acquisition module, uses a data compensation algorithm combined with parameters such as temperature and air pressure to correct carbon dioxide concentration data in real time, effectively eliminating the influence of temperature and air pressure changes on measurement accuracy; at the same time, the temperature model building module constructs a temperature influence model based on historical and real-time temperature data, further optimizing the data compensation algorithm, improving the measurement accuracy under different ecosystem temperature dynamic changes, and solving the problem that the existing system is easily affected by environmental factors.
[0014] (2) The carbon dioxide concentration measurement system based on ecosystem carbon storage includes a safety protection module, which protects metal parts and optical elements with anti-corrosion and moisture-proof layers, respectively, thereby enhancing the system's adaptability in harsh ecological environments such as high temperature and humidity, high salt and high corrosion. The remote monitoring and control module realizes remote monitoring and parameter control of the measurement system. Combined with the CO2 concentration closed-loop control module, it adjusts the system according to the corrected data, ensuring that the system can work stably and accurately for a long time in complex and diverse ecological environments, overcoming the shortcomings of poor environmental adaptability of existing systems. Attached Figure Description
[0015] Figure 1 This is a block diagram illustrating the main principle of the measurement system of the present invention; Figure 2 This is a block diagram illustrating the principle of the intelligent control module of the present invention; Figure 3 This is a block diagram illustrating the principle of the environmental parameter acquisition module of the present invention. Figure 4 This is a block diagram illustrating the principle of the safety protection module of the present invention; Figure 5 This is a block diagram illustrating the principle of the remote monitoring and control module of the present invention. Detailed Implementation
[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0017] Please see Figures 1-5This invention provides a technical solution: a carbon dioxide concentration measurement system based on ecosystem carbon storage, comprising a data acquisition module, an environmental parameter acquisition module, an intelligent control module, a safety protection module, a remote monitoring and control module, a CO2 concentration closed-loop control module, and a temperature model establishment module; the data acquisition module is used to collect carbon dioxide concentration data, the environmental parameter acquisition module is used to collect environmental parameters such as temperature, humidity, air pressure, and light intensity in real time, the intelligent control module is connected to both the data acquisition module and the environmental parameter acquisition module, and can compensate and correct the carbon dioxide concentration data collected by the data acquisition module in real time based on the parameters obtained by the environmental parameter acquisition module, the safety protection module is used to protect the system to adapt to different harsh ecological environments, and the remote monitoring and control module is connected to the intelligent control module, enabling remote monitoring and parameter control of the measurement system.
[0018] Specifically, after the system starts up, the data acquisition module collects raw carbon dioxide concentration data in real time; the environmental parameter acquisition module simultaneously collects environmental parameters such as temperature, humidity, air pressure, and light intensity, and transmits the data to the intelligent control module; after receiving the two types of data, the intelligent control module uses a built-in algorithm to compensate and correct the carbon dioxide concentration data in real time, eliminating environmental parameter interference; the safety protection module protects system components to operate normally in harsh environments through physical protection structures such as anti-corrosion and moisture-proof layers; the remote monitoring and control module receives the data processed by the intelligent control module in real time, realizing remote monitoring and parameter adjustment; the CO2 concentration closed-loop control module dynamically adjusts based on the corrected data; the temperature model building module builds a model based on historical and real-time temperature data and optimizes the compensation algorithm. Through the collaborative work of multiple modules, a complete closed loop is formed from data acquisition, environmental compensation, protection adaptation to remote control, which not only solves the accuracy problem of existing systems being affected by temperature and air pressure interference, but also improves the stability in complex ecological environments, realizing accurate measurement of carbon dioxide concentration in all scenarios.
[0019] In a preferred embodiment, the data acquisition module includes a carbon dioxide concentration sensor. The carbon dioxide concentration sensor measures carbon dioxide concentration using the non-dispersive infrared (NDIR) principle. The carbon dioxide concentration sensor in the data acquisition module works based on the NDIR principle, emitting infrared light of a specific wavelength that passes through the gas to be measured. The sensor detects the change in light intensity after the infrared light is absorbed by carbon dioxide, calculates the original carbon dioxide concentration data based on the absorption amount, and transmits the data to the intelligent control module. The use of NDIR technology ensures the basic sensitivity and stability of the concentration measurement. Compared with electrochemical and other technologies, it has the advantages of long lifespan and strong anti-interference ability, providing a reliable source of original data for subsequent data compensation.
[0020] In a preferred embodiment, the environmental parameter acquisition module includes a temperature sensor, a humidity sensor, a barometric pressure sensor, and a light sensor, each used to acquire corresponding environmental parameters. The temperature sensor, humidity sensor, barometric pressure sensor, and light sensor in the environmental parameter acquisition module acquire corresponding environmental parameters in real time: the temperature sensor monitors changes in ambient temperature, the humidity sensor records air humidity, the barometric pressure sensor captures air pressure fluctuations, and the light sensor acquires light intensity. All parameters are synchronously transmitted to the intelligent control module and the temperature model building module. By comprehensively acquiring multi-dimensional environmental parameters, a complete input is provided for the compensation algorithm of the intelligent control module, ensuring that the algorithm can specifically eliminate interference from key factors such as temperature and barometric pressure. Simultaneously, it provides a data foundation for the temperature model building module, solving the compensation deviation problem caused by incomplete environmental parameter acquisition in existing systems.
[0021] In a preferred embodiment, the intelligent control module is equipped with a data compensation algorithm. This algorithm can correct carbon dioxide concentration data by combining temperature and air pressure parameters to eliminate the impact of temperature and air pressure changes on measurement accuracy. After receiving the raw concentration data from the data acquisition module and the temperature and air pressure data from the environmental parameter acquisition module, the intelligent control module starts the built-in data compensation algorithm: it corrects the infrared absorption deviation caused by temperature fluctuations through a preset temperature-concentration influence formula, and corrects the error caused by gas density changes through the air pressure-density relationship. Finally, it outputs the corrected and accurate carbon dioxide concentration data. By dynamically compensating for and eliminating errors through the algorithm, the measurement results are not affected by environmental fluctuations, significantly improving data accuracy and meeting the high-precision requirements of long-term ecosystem monitoring.
[0022] In a preferred embodiment, the safety protection module includes an anti-corrosion layer and a moisture-proof layer. The anti-corrosion layer covers the surface of the system's metal components, and the moisture-proof layer is disposed on the outside of the optical elements. The anti-corrosion layer of the safety protection module covers the surface of the system's metal components, such as the sensor housing and connection interface, forming a physical barrier to resist corrosion in high-salt environments such as wetlands. The moisture-proof layer is attached to the outside of the optical elements (such as the infrared lens of an NDIR sensor), isolating water vapor in high-temperature and high-humidity environments and preventing optical performance degradation. Through targeted protection design, the system solves the problem of failure caused by corrosion and moisture in harsh environments such as tropical rainforests and wetlands, extends equipment life, and ensures long-term stable operation of the system in high-temperature, high-humidity, high-salt, and high-corrosion scenarios.
[0023] In a preferred embodiment, the remote monitoring and control module includes a cloud server and a client module. The cloud server stores measurement data, and the client module connects to the cloud server via network communication technology to view and process the data. The cloud server of the remote monitoring and control module receives and stores the corrected data transmitted by the intelligent control module, forming a historical database. The client module accesses the cloud server via network communication technologies such as WiFi, allowing users to view concentration data, historical trends, and equipment status in real time. Users can also remotely adjust sensor sampling frequency, compensation algorithm parameters, etc. Instructions are fed back to the intelligent control module via the cloud, realizing remote acquisition of measurement data and remote control of system parameters without on-site operation, thus reducing maintenance costs in complex ecological environments such as alpine meadows and tropical rainforests.
[0024] In a preferred embodiment, the CO2 concentration closed-loop control module is connected to the intelligent control module and can perform corresponding control adjustments based on the corrected carbon dioxide concentration data. The CO2 concentration closed-loop control module and the intelligent control module communicate in real time to receive the corrected carbon dioxide concentration data. When the data exceeds a preset threshold, the module activates the adjustment mechanism to dynamically balance the measurement environment, ensuring that the concentration is within a stable monitoring range, and feeds back the adjustment result to the intelligent control module. Through closed-loop control, dynamic optimization of "measurement-adjustment-remeasurement" is achieved, avoiding measurement deviations caused by drastic concentration fluctuations.
[0025] In a preferred embodiment, the temperature model building module is connected to the environmental parameter acquisition module and the intelligent control module. It can construct a temperature impact model based on historical and real-time temperature data acquired by the environmental parameter acquisition module. The temperature model building module obtains historical and real-time temperature data from the environmental parameter acquisition module and constructs a temperature impact model using machine learning or statistical methods to quantify the specific impact of different temperature ranges on carbon dioxide concentration measurement. The model is output to the intelligent control module, which optimizes the temperature correction coefficient of its data compensation algorithm, making the algorithm more adaptable to the temperature change patterns of specific ecosystems. For the temperature dynamic characteristics of different ecosystems, the model optimizes the compensation algorithm, making the correction process more scenario-specific. This solves the problem of existing system algorithms having strong versatility but poor adaptability, further improving measurement accuracy in complex environments.
[0026] Based on the above, the carbon dioxide concentration measurement system for ecosystem carbon storage has formed a complete technical solution of "collection-compensation-protection-regulation-optimization". Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.
[0027] During operation, the carbon dioxide concentration sensor in the data acquisition module, based on the principle of non-dispersive infrared (NDIR), emits infrared light of a specific wavelength that passes through the gas being measured. By detecting the change in light intensity after the infrared light is absorbed by carbon dioxide, the sensor calculates and outputs the raw carbon dioxide concentration data. Simultaneously, the temperature, humidity, air pressure, and light intensity sensors in the environmental parameter acquisition module collect environmental parameters such as temperature, humidity, air pressure, and light intensity in real time. All data are synchronously transmitted to the intelligent control module and the temperature model building module. After receiving the raw concentration data and environmental parameters, the intelligent control module activates its built-in data compensation algorithm: it combines temperature parameters to correct the infrared absorption deviation caused by the thermal motion of gas molecules, and combines air pressure parameters to correct the error caused by changes in gas density, outputting the corrected and accurate carbon dioxide concentration data. The temperature model building module, based on the historical and real-time temperature data provided by the environmental parameter acquisition module, constructs a temperature influence model through machine learning or statistical methods, quantifies the specific impact of different temperature ranges on the measurement, outputs the model to the intelligent control module, optimizes the temperature correction coefficient of its compensation algorithm, and improves the algorithm's adaptability to the dynamic temperature changes of specific ecosystems. Finally, the safety protection module works simultaneously: the anti-corrosion layer on the surface of the metal components resists corrosion in the high-salt environment, and the moisture-proof layer on the outside of the optical elements isolates water vapor in the high-temperature and high-humidity environment, protecting the system components to operate normally in harsh environments. The corrected concentration data is transmitted to the remote monitoring and control module, where it is stored on the cloud server to form a historical database. The client module can view the data, monitor the equipment status, and remotely adjust the parameters through network communication technology. On the other hand, it is transmitted to the CO2 concentration closed-loop control module. When the concentration data exceeds the preset threshold, this module activates the adjustment mechanism to dynamically balance the measurement environment, ensuring that the concentration is within a stable monitoring range, and feeds back the adjustment results to the intelligent control module. Through the collaboration of the above multiple modules, the system achieves long-term, continuous, and high-precision measurement of carbon dioxide concentration in complex ecological environments, effectively solving the problems of environmental interference and poor adaptability of existing systems.
[0028] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.
[0029] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A carbon dioxide concentration measurement system based on ecosystem carbon storage, comprising a data acquisition module, an environmental parameter acquisition module, an intelligent control module, a safety protection module, a remote monitoring and control module, a CO2 concentration closed-loop control module, and a temperature model establishment module; the data acquisition module is used to collect carbon dioxide concentration data, the environmental parameter acquisition module is used to collect environmental parameters such as temperature, humidity, air pressure, and light intensity in real time, the intelligent control module is connected to both the data acquisition module and the environmental parameter acquisition module, and can perform real-time compensation and correction on the carbon dioxide concentration data collected by the data acquisition module based on the parameters obtained by the environmental parameter acquisition module, the safety protection module is used to protect the system to adapt to different harsh ecological environments, and the remote monitoring and control module is connected to the intelligent control module, enabling remote monitoring and parameter control of the measurement system.
2. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1, characterized in that: The data acquisition module includes a carbon dioxide concentration sensor, which uses the non-dispersive infrared principle to measure carbon dioxide concentration.
3. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1, characterized in that: The environmental parameter acquisition module includes a temperature sensor, a humidity sensor, a barometric pressure sensor, and a light sensor, which are used to acquire corresponding environmental parameters.
4. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1, characterized in that: The intelligent control module is equipped with a data compensation algorithm, which can correct the carbon dioxide concentration data by combining temperature and air pressure parameters, so as to eliminate the influence of temperature and air pressure changes on measurement accuracy.
5. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1, characterized in that: The safety protection module includes an anti-corrosion layer and a moisture-proof layer. The anti-corrosion layer covers the surface of the metal components of the system, and the moisture-proof layer is located on the outside of the optical element.
6. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1, characterized in that: The remote monitoring and control module includes a cloud server and a client module. The cloud server is used to store measurement data, and the client module connects to the cloud server through network communication technology to view and process the data.
7. The carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1, characterized in that: The CO2 concentration closed-loop control module is connected to the intelligent control module and can perform corresponding control and adjustment based on the corrected carbon dioxide concentration data.
8. A carbon dioxide concentration measurement system based on ecosystem carbon storage according to claim 1, characterized in that: The temperature model building module is connected to the environmental parameter acquisition module and the intelligent control module, and can build a temperature influence model based on the historical and real-time temperature data obtained by the environmental parameter acquisition module.