A greenhouse gas collection system for all components of an ecosystem

Abstract

The present invention relates to the technical field of greenhouse gas monitoring, and specifically to a system for collecting greenhouse gases of all components of an ecosystem, wherein the system for collecting greenhouse gases of all components of the ecosystem comprises: a gas collection subsystem, a gas measurement subsystem, a gas composition detection subsystem and an intelligent communication subsystem; the gas collection subsystem is used to collect greenhouse gases of all components of the ecosystem to obtain greenhouse gas collection samples; the gas measurement subsystem receives the greenhouse gas collection samples, analyzes them and obtains the total income and expenditure of greenhouse gases of the ecosystem, and the gas composition detection subsystem is connected to the gas collection subsystem and the gas measurement subsystem respectively; the gas composition detection subsystem detects the greenhouse gas composition of the ecosystem according to the total income and expenditure and the greenhouse gas collection samples, and obtains the composition detection results of the greenhouse gases of the ecosystem; the intelligent communication subsystem displays the greenhouse gas information of all components of the ecosystem according to the total income and expenditure and the detection results.

Description

Technical Field

[0001] The present invention relates to the technical field of greenhouse gas monitoring, and in particular to a system for collecting greenhouse gases of all components in an ecosystem. Background Art

[0002] The existing greenhouse gas collection and analysis system lacks comprehensiveness and integration. When monitoring the greenhouse gas flux of the entire ecosystem, key components such as plants, soil, and water bodies are not fully considered, resulting in incomplete and inaccurate assessment results of the total greenhouse gas balance of the ecosystem. The current system is mainly limited to analyzing a single component of the ecosystem and cannot provide a comprehensive assessment of the greenhouse gas flux of the entire ecosystem. Therefore, the total greenhouse gas balance is often biased.

[0003] In addition, faced with different types of ecosystems and complex and changeable field environments, existing greenhouse gas collection systems face huge challenges and find it difficult to adapt to highly heterogeneous environmental conditions, such as rapid changes in microtopography, dry-wet alternations and other factors, which affects the accuracy and credibility of the assessment results. This not only reduces the effectiveness and reliability of the collection system in practical applications, but also affects the in-depth understanding of the changing characteristics and driving mechanisms of greenhouse gas fluxes in ecosystems.

[0004] Existing greenhouse gas collection and analysis systems generally lack intelligent algorithms for data collection and analysis. When processing and analyzing gas information, it is difficult to provide comprehensive and accurate ecosystem greenhouse gas balance data and gas analysis results. In order to overcome the above problems, it is necessary to develop more advanced and intelligent greenhouse gas collection and analysis systems to more accurately assess the greenhouse gas flux of all components of the ecosystem and provide strong scientific support for addressing climate change. Summary of the invention

[0005] In view of the shortcomings of existing methods and the needs of practical applications, in order to improve the data collection and analysis performance of greenhouse gases of all components of the ecosystem, the existing gas collection and analysis system has been upgraded. The system of the present invention has the ability to comprehensively collect and analyze greenhouse gases in the ecosystem, ensuring the integrity of the assessment of the total amount of greenhouse gas balances, and can more deeply analyze the concentration, proportion and changing trend of greenhouse gases, which helps to more accurately grasp the composition and dynamic changing trends of greenhouse gases in the ecosystem, and provide a more scientific and accurate decision-making basis for environmental protection and climate change response. On the one hand, the present invention provides a greenhouse gas collection system for all components of an ecosystem, and the system includes: a gas collection subsystem, a gas measurement subsystem, a gas composition detection subsystem, and an intelligent communication subsystem; the gas collection subsystem is used to collect greenhouse gases of all components of the ecosystem to obtain greenhouse gas collection samples; the gas measurement subsystem receives the greenhouse gas collection samples, analyzes the greenhouse gas collection samples, and obtains the total income and expenditure of greenhouse gases in the ecosystem, and the gas composition detection subsystem is connected to the gas collection subsystem and the gas measurement subsystem respectively; the gas composition detection subsystem detects the greenhouse gas components of the ecosystem according to the total income and expenditure and the greenhouse gas collection samples, and obtains the component detection results of the greenhouse gases in the ecosystem; the intelligent communication subsystem displays the greenhouse gas information of all components of the ecosystem according to the total income and expenditure and the component detection results. The present invention combines different subsystems to form a greenhouse gas collection system for all components of the ecosystem, which can provide comprehensive, accurate, and real-time greenhouse gas monitoring and analysis information, and provide strong data support for environmental protection and climate change.

[0006] Optionally, using the gas collection subsystem to collect greenhouse gases of all components of the ecosystem to obtain greenhouse gas collection samples includes: setting a floating box, a static box and a plant gas chamber in the gas collection subsystem; collecting greenhouse gases of all components of the ecosystem according to the floating box, the static box and the plant gas chamber to obtain greenhouse gas collection samples. The present invention uses floating boxes, static boxes and plant gas chambers to collect greenhouse gas samples of all components, and has the characteristics of diverse collection, in-situ collection, real-time, accuracy and flexibility, so that the system of the present invention can more accurately evaluate the total amount of income and expenditure and component composition of greenhouse gases in the ecosystem.

[0007] Optionally, the gas measurement subsystem receives the greenhouse gas collection sample including: the gas measurement subsystem is connected to the gas collection subsystem via a multi-channel pipeline converter; the input end of the gas measurement subsystem is connected to the multi-channel pipeline converter; the output end of the gas measurement subsystem is connected to the gas composition detection subsystem and the intelligent communication subsystem respectively. The gas measurement subsystem of the present invention is connected to the gas collection subsystem via a multi-channel pipeline converter, which can improve data collection efficiency, ensure data integrity and improve system reliability, and provide technical support for the monitoring and analysis of greenhouse gases in ecosystems.

[0008] Optionally, the gas measurement subsystem receives the greenhouse gas collection samples, analyzes the greenhouse gas collection samples, and obtains the total income and expenditure of the ecosystem greenhouse gas, including: configuring a greenhouse gas analyzer in the gas measurement subsystem; the greenhouse gas analyzer analyzes the greenhouse gas collection samples to obtain the greenhouse gas fluxes of different components in the ecosystem; and obtains the total income and expenditure of the ecosystem greenhouse gas according to the greenhouse gas fluxes of the different components. The present invention is equipped with a greenhouse gas analyzer for receiving and analyzing greenhouse gas collection samples, and then obtaining the greenhouse gas flux and total income and expenditure of different components in the ecosystem, so that the system can more accurately evaluate the greenhouse gas emissions and absorption of the ecosystem. Optionally, the greenhouse gas fluxes of different components satisfy the following relationship:

[0009]

[0010] Among them, F represents the greenhouse gas flux of different components, 𝜌 represents the gas density, V represents the volume of the top box, and A represents the bottom area of ​​the top box. Indicates the change of gas concentration in the box over time;

[0011] The total amount of greenhouse gas balance in the ecosystem satisfies the following relationship:

[0012]

[0013] Wherein, E represents the total amount of greenhouse gas revenue and expenditure of all components of the ecosystem, F1 represents the greenhouse gas flux of component 1, S1 represents the area of ​​component 1, F2 represents the greenhouse gas flux of component 2, S2 represents the area of ​​component 2, Fn represents the greenhouse gas flux of component n, Sn represents the area of ​​component n, and T represents a period of time. The present invention sets a relevant mathematical model to calculate the greenhouse gas flux and total revenue and expenditure of different components of the ecosystem, which helps to more accurately understand the interaction between the ecosystem and greenhouse gases, and provides a scientific basis for formulating emission reduction strategies.

[0014] Optionally, the ecosystem full-component greenhouse gas collection system further includes: installing a gas sample preliminary inspection device and a gas concentration detection device in the gas composition detection subsystem. The gas sample preliminary inspection device of the present invention can perform preliminary screening of greenhouse gas samples to ensure the quality of subsequent gas samples, help reduce analysis errors caused by sample problems, and help accurately evaluate the total amount and composition of greenhouse gases in the ecosystem.

[0015] Optionally, the gas composition detection subsystem detects the greenhouse gas composition of the ecosystem according to the total amount of income and expenditure and the greenhouse gas collection sample, and obtains the composition detection result of the greenhouse gas of the ecosystem, including: the gas composition detection subsystem is connected to the gas collection subsystem, the gas measurement subsystem and the intelligent communication subsystem respectively; the gas composition detection subsystem uses the gas sample preliminary inspection equipment to screen the greenhouse gas collection sample to obtain the optimal greenhouse gas sample; the gas composition detection subsystem uses the gas concentration detection equipment to detect the optimal greenhouse gas sample, and obtains the composition detection result of the greenhouse gas of the ecosystem. The gas composition detection subsystem of the present invention can screen, process and detect the greenhouse gas collection samples, improve the quality and feasibility of the gas samples, and can ensure the reliability and credibility of the system analysis results.

[0016] Optionally, the gas composition detection subsystem uses the gas sample preliminary inspection device to screen the greenhouse gas collection samples to obtain the optimal greenhouse gas sample, which includes: setting a gas quality analysis model in the gas sample preliminary inspection device; the gas sample preliminary inspection device uses the gas quality analysis model to obtain the quality status of different component gases; based on the quality status, the greenhouse gas collection samples are screened to obtain the optimal greenhouse gas sample;

[0017] The gas quality analysis model satisfies the following relationship:

[0018]

[0019] in, represents the signal-to-noise ratio of infrared spectrum, represents the total greenhouse gas balance of all components of the ecosystem, Indicates the measurement time, Indicates spectral resolution. The present invention screens greenhouse gas samples to obtain the best greenhouse gas samples, which can improve data quality, optimize analysis efficiency, and enhance system intelligence, so that the system can more accurately assess the greenhouse gas composition and changes in the ecosystem, providing strong support for environmental protection and climate change response.

[0020] Optionally, the gas composition detection subsystem uses the gas concentration detection device to detect the optimal greenhouse gas sample, and obtains the composition detection result of the greenhouse gas in the ecosystem, including: setting a gas composition fitting model in the gas concentration detection device; the gas concentration detection device uses infrared spectroscopy technology to analyze the optimal greenhouse gas sample; the gas concentration detection device combines the analysis result of the optimal greenhouse gas sample and the gas composition fitting model to obtain the composition detection result of the greenhouse gas in the ecosystem. The gas concentration detection device of the present invention uses infrared spectroscopy technology, which has high selectivity and sensitivity, can accurately measure the concentration of different greenhouse gas components, further improve the detection accuracy, and ensure the accuracy of the composition detection results.

[0021] Optionally, the intelligent communication subsystem displays the greenhouse gas information of all components of the ecosystem based on the total amount of income and expenditure and the component detection results, including: setting an information visualization device and a remote communication device in the intelligent communication subsystem; the input end of the intelligent communication subsystem is connected to the gas measurement subsystem and the gas component detection subsystem respectively; the information visualization device and the remote communication device present the total amount of income and expenditure and the component detection results in a visual form. The present invention can convert complex greenhouse gas data into intuitive and easy-to-understand forms such as tables, images or animations, which can quickly understand the greenhouse gas status of the ecosystem, keep abreast of the latest developments of the ecosystem, and make scientific and reasonable decisions to address climate change issues. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A flow chart of the greenhouse gas collection system for all components of an ecosystem according to the present invention;

[0023] Figure 2 This is a schematic diagram of the greenhouse gas collection subsystem for all components of the ecosystem of the present invention;

[0024] Figure 3 It is a schematic diagram of the structure of the floating box and the static box in the ecosystem full-component greenhouse gas collection system of the present invention;

[0025] Figure 4 A schematic diagram of infrared spectra of methane and water vapor, the optimal greenhouse gas samples in the ecosystem full-component greenhouse gas collection system of the present invention;

[0026] Figure 5 It is a schematic diagram of infrared spectrum of carbon dioxide, the optimal greenhouse gas sample in the ecosystem full-component greenhouse gas collection system of the present invention;

[0027] Figure 6 A schematic diagram of the infrared spectrum of nitrous oxide in the optimal greenhouse gas sample in the ecosystem full-component greenhouse gas collection system of the present invention;

[0028] Figure 7 This is a structural diagram of the ecosystem full-component greenhouse gas collection system of the present invention. DETAILED DESCRIPTION

[0029] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0030] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0031] See also Figure 1 In order to enhance the data collection accuracy and intelligent analysis level of greenhouse gases of all components in the ecosystem, the present invention will comprehensively collect and analyze various types of greenhouse gases in the ecosystem, ensure the comprehensiveness and accuracy of the total amount of greenhouse gas revenue and expenditure and the analysis results, and analyze the greenhouse gas concentration at the same time, so as to more accurately grasp the composition and change trend of greenhouse gases in the ecosystem, and provide a decision-making basis for the formulation of environmental protection and climate change response strategies. The present invention provides a greenhouse gas collection system for all components of the ecosystem, and the implementation content of the greenhouse gas collection system for all components of the ecosystem is as follows:

[0032] The ecosystem full-component greenhouse gas collection system is equipped with: gas collection subsystem, gas measurement subsystem, gas composition detection subsystem and intelligent communication subsystem.

[0033] S1. Use the gas collection subsystem to collect greenhouse gases from all components of the ecosystem to obtain greenhouse gas collection samples. The specific steps and implementation contents are as follows:

[0034] In this embodiment, a floating box, a static box and a plant gas chamber are set in the gas collection subsystem, and greenhouse gases of all components of the ecosystem are collected based on the floating box, the static box and the plant gas chamber to obtain greenhouse gas collection samples.

[0035] The gas collection device in the gas collection subsystem can be found in Figure 2 , wherein 1 represents a top box, 1-1 represents a fan, 2 represents a base, 3 represents a floating ring, 4 represents a small air chamber, 5 represents a gas duct, 6 represents a multi-channel pipeline converter, 7 represents a three-way valve, and 8 represents a gas measurement subsystem.

[0036] In an optional embodiment, a gas collection subsystem is used to monitor greenhouse gases of all components of the ecosystem, wherein the collection device mainly includes a floating box, a static box and a plant gas chamber, which can ensure the comprehensiveness and accuracy of the collected data. Figure 2 The floating box C1 is used to collect greenhouse gases from water bodies, the static box C2 is used to collect greenhouse gases from bare soil without vegetation, and the static box C3 is used to collect greenhouse gases produced by plants and soil, which also includes soil covered with vegetation. For the collection of greenhouse gases inside plants, the gas collection subsystem is equipped with three types of plant gas chambers. The plant gas chamber C4 is used for greenhouse gases from roots, the plant gas chamber C5 is used for trunks, and the plant gas chamber C6 is used for collecting greenhouse gases from leaves. Based on the above collection devices, greenhouse gas collection samples of specific ecosystems are obtained.

[0037] Furthermore, in order to ensure the reliability of the collected information, this embodiment optimizes the static box and the floating box. For details, please refer to Figure 3 , where 1 represents the top box, 2 represents the base, 3 represents the floating ring and 1-1 represents the fan.

[0038] Figure 3 The schematic diagram of the structure of the static box and the floating box is shown, where the static box is mainly composed of two parts: a top box 1 and a base 2. This design is suitable for greenhouse gas monitoring in a terrestrial environment. The top box 1 is equipped with a fan 1-1, whose main function is to ensure that the gas inside the box can be evenly mixed, thereby providing more accurate monitoring data.

[0039] The floating box is a monitoring tool customized for the water surface environment. It is mainly composed of a top box 1, a base 2 and a floating ring 3. The base 2 is fixed on the floating ring 3 so that the entire floating box can float stably on the water surface. A fan 1-1 is also installed inside the top box 1 to ensure that the gas inside the box is evenly mixed, providing accurate data support for surface greenhouse gas monitoring.

[0040] The above-mentioned greenhouse gas collection equipment not only takes into account the differences between land and water environments, but also ensures the accuracy and reliability of monitoring data, providing a tool basis for the greenhouse gas collection system of all components of the ecosystem.

[0041] The gas collection subsystem has good flexibility and can adapt to the needs of different ecosystem types. In another optional embodiment, data is collected for forest ecosystems. Since forest ecosystems mainly focus on greenhouse gas emissions from soil and plants, static box C2 can be selected for soil, static box C3 for plants and soil, plant air chamber C5 for tree trunks and plant air chamber C6 for leaves, without the need for floating box C1 for water bodies; in swamp wetland ecosystems, due to the interactive relationship between water bodies, plants and soil interfaces in swamp wetland ecosystems, floating box C1 can be selected for water bodies, static box C2 for soil and static box C3 for plants and soil, and no plant air chamber is required for roots, trunks and leaves.

[0042] The gas collection subsystem of the present invention can be applied to different types of ecosystems and can cover the collection of all components of greenhouse gases. It breaks through the defects of traditional technology in the collection of single ecosystems and single components of greenhouse gases. Through innovative box combinations and multi-channel pipeline integration technology, it realizes the comprehensive monitoring of all components of greenhouse gases in a specific ecosystem, thereby realizing comprehensive monitoring of all components of greenhouse gases and ensuring the integrity and accuracy of the data. While ensuring the monitoring accuracy, it also significantly improves the collection efficiency and monitoring range of the ecosystem, providing strong technical support for environmental protection and climate change prediction.

[0043] In order to further illustrate the feasibility of collecting greenhouse gas samples by the gas collection subsystem of the present invention, in another optional embodiment, a coastal wetland is taken as an example for detailed description, and other ecosystems can make appropriate adjustments to the gas collection subsystem according to their own characteristics.

[0044] For the collection of greenhouse gases on the surface of the water body, a floating box C1 is used in the embodiment. The floating box C1 consists of three main parts: a top box 1, a base 2 and a floating ring 3. The top box 1 can be cylindrical or other shapes. A small fan 1-1 is built into the top box to ensure uniform mixing of the gas in the box. The height of the top box is set to 20 cm and the diameter is set to 30 cm according to the actual situation of the ecosystem. The above dimensions are convenient for operation and take into account the efficiency of gas collection to ensure the best collection effect of gas.

[0045] The base 2 serves as the supporting structure of the floating box C1, and it is closely matched with the top box. The upper end of the base is provided with a groove, and the size of the groove is carefully calculated to ensure that the top box can be firmly placed in the groove. The outer diameter of the groove is slightly larger than the top box, while the inner diameter is slightly smaller than the top box. Based on this, the stability of the top box is ensured, and the air leakage problem caused by inappropriate size is avoided.

[0046] The floating ring 3 is the key to ensure that the floating box C1 floats stably on the water surface. By binding to the groove of the base, it provides buoyancy for the entire floating box, so that the floating box C1 can be easily deployed in various water environments, providing convenience for the collection of greenhouse gases on the water surface.

[0047] In order to collect soil greenhouse gases from bare land without vegetation coverage, a static box C2 is used in the embodiment. The static box C2 is mainly composed of a top box 1 and a base 2. A small fan 1-1 is provided inside the top box 1 to ensure uniform mixing of the gas in the box, thereby ensuring that the collected gas sample is representative.

[0048] Based on the needs of ecosystem gas collection and the actual collection situation, the height of the top box 1 is set to 20 cm. The upper end of the base 2 is provided with a groove, the size of which matches the top box to ensure that the top box can be firmly placed in the groove. The lower end of the base is buried underground and the burial depth is set to 15 cm. The above depth can be adjusted according to actual conditions. During gas collection, the base will remain fixed and will not move.

[0049] In order to collect soil-plant greenhouse gases in plant communities with low plants growing, the embodiment is equipped with a static box C3. The static box C3 is mainly composed of a top box 1 and a base 2, wherein the top box 1 is equipped with a small fan 1-1. Compared with the static box C2, the static box C3 is basically the same in structure, but the height of the top box is specially designed. Since the static box C3 needs to completely cover the plants, its height needs to be customized and adjusted according to the characteristics of different plant communities. For example, in the Suaeda salsa community, the height of the static box C3 can be set to 50 cm, while for the taller reed community, its height may be as high as 2 m, so as to accurately collect the emission of soil-plant greenhouse gases.

[0050] Since tall trees cannot be covered by a single static box, a more flexible and targeted method is adopted, that is, multiple small air chambers C4, C5, and C6 are used to collect greenhouse gas emission information from exposed roots, trunks, and leaves. Each small air chamber fully considers the experimental needs and plant growth needs. The length, width, and height of the plant air chamber in the embodiment are 20 cm × 10 cm × 10 cm, respectively. In order to facilitate the collection and measurement of greenhouse gases, one side of the gas conduit is designed to be an openable door. When it is not necessary to collect greenhouse gases, the door can be opened to ensure that the air chamber does not hinder the normal growth of trees.

[0051] For tree trunks, the plant air chamber C5 is directly set on the surface of the trunk in a sticky manner, which not only ensures a close fit between the air chamber and the trunk, but also avoids damage to the tree due to the movement of the air chamber; for exposed roots and leaves, a wrapping method is adopted. The plant air chambers C4 and C6 completely cover a section of exposed roots or a certain number of leaves respectively, which can ensure that while collecting greenhouse gases, interference with plant growth is reduced.

[0052] Each gas collection box is connected to the multi-channel pipeline converter through an air duct. The multi-channel pipeline converter can centrally control all the intake ducts and discharge the gas through a single exhaust duct. A three-way valve is installed at the end of the exhaust duct to flexibly control the opening or closing of the duct.

[0053] Furthermore, when the floating box C1 is used for greenhouse gas collection, an appropriate amount of water needs to be added to the groove of the base 2 to ensure that the top box 1 can be firmly placed on the base 2 through the floating ring 3, thereby forming a closed collection environment. Next, the gas conduit connected to the floating box C1 can be opened through the multi-channel pipeline converter 6 to connect it to the exhaust conduit.

[0054] Based on the greenhouse gas detection needs, the exhaust duct is connected to the gas measurement subsystem. The duration of gas collection is 2 minutes, during which data is recorded every 10 seconds, so that the changes in greenhouse gas concentrations can be quickly and continuously fed back, based on which real-time monitoring of greenhouse gases is achieved and greenhouse gas collection samples are obtained.

[0055] Furthermore, the way in which the gas collection subsystem in this embodiment obtains greenhouse gas collection samples is only an optional condition of the present invention. One or some other embodiments can be adjusted according to the actual situation of the ecosystem and the data collection requirements, which can better adapt to the characteristics and distribution patterns of greenhouse gases in different ecosystems, ensure that the collected samples are representative and accurate, and help improve the accuracy and reliability of data information.

[0056] S2. The gas measurement subsystem receives greenhouse gas samples, analyzes the greenhouse gas samples, and obtains the total amount of greenhouse gas revenue and expenditure of the ecosystem. In the embodiment, the gas composition detection subsystem is connected to the gas collection subsystem and the gas measurement subsystem, respectively. The specific steps and implementation contents are as follows:

[0057] In this embodiment, the input end of the gas measurement subsystem is connected to the multi-channel pipeline converter; the output end of the gas measurement subsystem is connected to the gas composition detection subsystem and the intelligent communication subsystem respectively.

[0058] The multi-channel pipeline converter allows gas to flow from the gas collection subsystem to the gas measurement subsystem and the gas composition detection subsystem to ensure the smoothness and accuracy of the gas flow. The multi-channel design converter can process gas samples from different collection points at the same time, which improves the overall efficiency and flexibility of the system. In the embodiment, different channels can independently transport gas, reducing the problem of inaccurate data caused by sample cross-contamination or accumulation of measurement errors. In addition, the connection between the gas composition detection subsystem and the intelligent communication subsystem promotes the information integration of the entire gas monitoring system, allowing the subsystems to work together to complete the gas monitoring task. Through the intelligent communication subsystem, the gas measurement subsystem can exchange real-time data with other systems or remote monitoring centers to realize remote monitoring, fault diagnosis and early warning functions, and improve the intelligence level of the system.

[0059] In an optional embodiment, the output end of the gas collection subsystem is connected to the port of the multi-channel pipeline converter, the gas collection subsystem sends the collected gas samples into the converter, and then the converter distributes the greenhouse gas collection samples to the corresponding channels. At the same time, the input end of the gas measurement subsystem is connected to the port of the multi-channel pipeline converter, and the gas samples are transported to the gas measurement subsystem through the specific channels of the converter.

[0060] Multiple channels can process multiple gas samples at the same time, thereby significantly improving the efficiency of gas collection and processing. The converter can ensure that the gas samples are not contaminated or interfered by external factors during the transmission process, thereby ensuring the accuracy of the gas collection results. In addition, by adjusting the channel configuration in the converter, it can adapt to the gas collection and transportation requirements of different ecosystems or different monitoring needs, thereby providing an efficient, accurate and flexible gas collection solution for the greenhouse gas collection system of all components of the ecosystem.

[0061] A greenhouse gas analyzer is configured in the gas measurement subsystem. The greenhouse gas analyzer analyzes the greenhouse gas samples collected to obtain the greenhouse gas flux of different components in the ecosystem. Then, the total greenhouse gas income and expenditure of the ecosystem is obtained according to the greenhouse gas flux of different components. The specific implementation contents are as follows:

[0062] The gas measurement subsystem collects greenhouse gas samples, extracts the rate of change of gas concentration over time, the volume and area of ​​the box, and then obtains the gas exchange flux per unit time and per unit area of ​​different components in the ecosystem. The greenhouse gas flux of the above different components satisfies the following relationship:

[0063]

[0064] Among them, F represents the greenhouse gas flux of different components, 𝜌 represents the gas density, V represents the volume of the top box, and A represents the bottom area of ​​the top box. Indicates the change of gas concentration in the box over time.

[0065] In the embodiment, the change value of the gas concentration in the box over time refers to the change in the concentration of greenhouse gases over time in a closed box, such as static boxes C2, C3 or gas chambers C4, C5, C6, and can be used to evaluate the emission, absorption or stability characteristics of greenhouse gases of different components.

[0066] The change of the gas concentration in the above box over time satisfies the following relationship:

[0067]

[0068] in, is the change of gas concentration in the box over time, is the change in gas concentration in the box, To measure time.

[0069] Based on the greenhouse gas flux information of different components in the ecosystem, including but not limited to the gas information of soil, plant roots, trunks, and leaves, and combined with the distribution area of ​​each component in the ecosystem, the total greenhouse gas balance of each component is analyzed. Finally, the total greenhouse gas balance of different components is summed up to obtain the total greenhouse gas balance of the entire ecosystem.

[0070] The total amount of greenhouse gas balance in the above ecosystems satisfies the following relationship:

[0071]

[0072] Among them, E represents the total greenhouse gas balance of all components of the ecosystem, F1 represents the greenhouse gas flux of component 1, S1 represents the area of ​​component 1, F2 represents the greenhouse gas flux of component 2, S2 represents the area of ​​component 2, Fn represents the greenhouse gas flux of component n, Sn represents the area of ​​component n, and T represents a period of time.

[0073] Compared with the traditional single-component greenhouse gas collection system, the present invention can realize the simultaneous collection and analysis of multiple components of greenhouse gases in the ecosystem, greatly improving the accuracy of the total amount of greenhouse gas balance in the ecosystem. It not only provides strong technical support for ecological research, but also provides more accurate and comprehensive data support for the monitoring and management of greenhouse gas emissions and carbon cycles.

[0074] Furthermore, the analysis method and equipment for ecosystem greenhouse gases in this embodiment are merely an optional condition of the present invention, and may be replaced in one or some other embodiments according to the ecosystem status and data requirements. Different ecosystems have different characteristics and complexities, and selecting or adjusting the analysis method and equipment can ensure the accuracy of the data and the reliability of the analysis results.

[0075] S3. The gas composition detection subsystem detects the greenhouse gas composition of the ecosystem based on the total amount of income and expenditure and the greenhouse gas collection samples, and obtains the composition detection results of the greenhouse gas of the ecosystem. The specific steps and implementation contents are as follows:

[0076] Firstly, the gas composition detection subsystem introduces Fourier transform infrared spectroscopy technology to process the greenhouse gas samples.

[0077] Fourier transform infrared spectroscopy technology has extremely high sensitivity and can accurately measure greenhouse gases of various concentration levels in the atmosphere, accurately detect and evaluate the composition of greenhouse gases in ecosystems. Through precise spectral analysis and data processing, it can also accurately identify and quantify the composition information of different gases in greenhouse gases. In addition, the instrument design and application of Fourier transform infrared spectroscopy technology are relatively simple, easy to operate and maintain, and can be widely used in different environments of various ecosystems. It has the ability to detect greenhouse gases in real time, providing strong support for real-time monitoring and detection of greenhouse gas emissions.

[0078] In this embodiment, Fourier transform infrared spectroscopy technology can be mainly divided into two types: active technology and passive technology. The active technology uses artificial light sources to emit infrared radiation and analyzes greenhouse gas samples by measuring reflection or transmission spectra; while the passive technology directly detects infrared radiation in the surrounding environment without artificial light sources. In this embodiment, active technology is selected to analyze greenhouse gas samples based on the application scenario and actual needs of the ecosystem.

[0079] Based on the principle of Fourier transform infrared spectroscopy, when infrared radiation passes through greenhouse gas samples, infrared light of a specific frequency will be absorbed by the molecules in the greenhouse gas samples. The above absorption is caused by changes in the vibration and rotational motion states of the molecules, but not all molecules will absorb infrared light. Only molecules with dipole moments, such as polyatomic molecules, will absorb under the influence of infrared light. Monatomic molecules and monopolar diatomic molecules, such as He, Ne, Ar, H2, N2, O2, etc., do not absorb infrared light due to the lack of dipole moments.

[0080] Since each molecule has a unique infrared spectrum absorption characteristic, different molecules will only absorb infrared light at a specific frequency. The Fourier transform infrared spectroscopy technology introduced in the embodiment can identify the molecular type, properties and quantity of different gases. The frequency and intensity of the absorption band in the infrared spectrum directly reflect the chemical composition of the greenhouse gas sample. Since the more molecules of the same type there are, the more infrared light is absorbed at a specific frequency. Therefore, the Fourier transform infrared spectroscopy technology can be used to analyze the composition of different greenhouse gas samples, thereby achieving accurate qualitative and quantitative analysis of greenhouse gases in the ecosystem.

[0081] The Fourier transform infrared spectroscopy technology in the embodiment has the advantages of high sensitivity, high accuracy, ease of use and real-time measurement, and has broad practical application prospects. The ecosystem full-component greenhouse gas collection system combined with this technology can better understand the distribution and change patterns of different components of greenhouse gases in different ecosystems.

[0082] Then, it is necessary to install gas sample preliminary inspection equipment and gas concentration detection equipment in the gas composition detection subsystem. The specific implementation contents are as follows:

[0083] High-precision gas sample preliminary inspection equipment is installed on the transmission path of greenhouse gas collection samples to reduce the interference of other forms of contamination or external factors during the flow of collected samples. At the same time, the preliminary inspection equipment is installed at the input port of greenhouse gas collection samples to ensure unbiased inspection and analysis of the input greenhouse gas samples, thereby ensuring that the most representative samples are screened for subsequent research and analysis.

[0084] Based on the infrared spectrum analysis information of different greenhouse gas samples, a gas quality analysis model is set in the gas sample preliminary inspection equipment to obtain the signal-to-noise ratio of the infrared spectrum of different greenhouse gas samples.

[0085] The gas composition detection subsystem introduces infrared spectroscopy technology to collect infrared spectral data of components such as carbon dioxide, methane, and nitrous oxide in different greenhouse gas samples. The above data will serve as the basis for establishing a gas quality analysis model. In order to ensure the accuracy of the data, the collected infrared spectral data is preprocessed, including but not limited to noise removal, baseline correction, spectral smoothing and other steps to improve data quality.

[0086] A gas quality analysis model is established based on the preprocessed infrared spectral data. This model can be constructed using machine learning algorithms such as support vector machines, neural networks, etc., or traditional spectral analysis methods such as multivariate linear regression, principal component analysis, etc. The signal-to-noise ratio of different gas samples is obtained based on the gas quality analysis model. The signal-to-noise ratio will be used as an indicator to measure the quality of the gas sample, which represents the ratio between the signal and the noise of the gas sample. The signal intensity is usually taken within a specific wavelength range in the spectrum, that is, the average intensity or peak intensity corresponding to the characteristic absorption peak of the greenhouse gas, while the noise intensity is taken from the signal-free area in the spectrum, that is, the average intensity or standard deviation of the background noise.

[0087] In this embodiment, in order to obtain infrared spectra of different greenhouse gas samples, a program is written in the gas composition detection subsystem, which can automatically read the spectral data, calculate related data and output the results to the system file or database.

[0088] The above gas quality analysis model satisfies the following relationship:

[0089]

[0090] in, represents the signal-to-noise ratio of infrared spectrum, represents the total greenhouse gas balance of each component of the ecosystem,

[0091] E represents the total greenhouse gas balance of all components of the ecosystem, Indicates the measurement time, Indicates spectral resolution.

[0092] The spectral resolution refers to the minimum wavelength interval that the gas composition detection subsystem can distinguish when receiving the target radiation spectrum. It can also be called the band width, which reflects the recording width of the gas composition detection subsystem in the wavelength direction. For a specific wavelength range value in the recorded electromagnetic spectrum, the wider the wavelength range value, the lower the spectral resolution. In addition, the higher the spectral resolution, the stronger the system's ability to distinguish between two adjacent wavelengths, thereby enabling more accurate analysis of the composition and structure of the gas sample.

[0093] The gas sample preliminary inspection equipment uses the gas quality analysis model to obtain the quality status of different component gases, and screens the greenhouse gas collection samples based on the quality status to obtain the optimal greenhouse gas sample.

[0094] In the ecosystem of the embodiment, the total amount of income and expenditure, time and infrared spectrum data corresponding to different greenhouse gas samples are input into the gas quality analysis model to obtain the infrared spectrum signal-to-noise ratio of different greenhouse gas samples, so as to analyze the quality status of different component gases.

[0095] In this embodiment, the above measurement time refers to the total time required to collect data points of different gas samples. Since the measurement time is directly related to the number of scans, the spectrum signal-to-noise ratio is usually proportional to the square root of the number of scans, which means that by increasing the number of scans, the spectrum signal-to-noise ratio can be improved. The increase in the number of scans can average out random noise, thereby improving the quality of the signal. However, when the number of scans increases to a certain extent, the effect of improving the signal-to-noise ratio will gradually weaken, because increasing the number of scans mainly affects high-frequency noise, while the impact on low-frequency noise such as baseline drift is relatively limited.

[0096] When the number of scans increases, if the system scan speed remains unchanged, the time resolution of the entire analysis process will decrease because the total measurement time is spread over more scans, resulting in a longer time interval between each scan.

[0097] In practical applications, the measurement time also reflects the scanning speed of the system equipment, which will also affect the signal-to-noise ratio. The slower scanning speed of the system means that each scan takes longer, so the number of scans will be reduced accordingly within the same measurement time. Therefore, when the system selects the scanning speed and the number of scans, it is necessary to weigh the relationship between the improvement of the signal-to-noise ratio and the reduction of the time resolution.

[0098] In the embodiment, the greenhouse gas samples are screened by combining the infrared spectrum signal-to-noise ratio, the infrared spectrum preset standard and the actual situation of the ecosystem to obtain the optimal greenhouse gas samples.

[0099] A reasonable SNR threshold is set. The above threshold needs to be determined in combination with the system research purpose, system instrument performance and ecosystem characteristics. The higher the above SNR threshold, the better the quality of the screened samples. When screening greenhouse gas samples, the actual environmental conditions of the ecosystem also need to be considered, including but not limited to geographical location, climatic conditions and vegetation types. These factors will affect the emission and absorption of greenhouse gases, and thus affect the quality and representativeness of greenhouse gas samples.

[0100] Combined with the infrared spectrum signal-to-noise ratio and the actual situation of the ecosystem, the greenhouse gas samples are comprehensively evaluated, and gas samples with SNR higher than the threshold and good representativeness are preferentially selected as the optimal greenhouse gas samples. In the embodiment, the greenhouse gas collection samples are screened by combining the infrared spectrum signal-to-noise ratio, the infrared spectrum preset standard and the actual situation of the ecosystem, so that the optimal greenhouse gas sample can be obtained. Based on this, the spectral quality of the sample is taken into account, and the actual situation and representativeness of the ecosystem are also taken into account, which helps to improve the accuracy and reliability of the subsequent analysis and research results of the system.

[0101] Furthermore, the method for obtaining the optimal greenhouse gas sample in the present embodiment is only an optional condition of the present invention. In one or some other embodiments, the method for obtaining the gas sample can be flexibly adjusted according to the greenhouse gas monitoring requirements of the actual situation of the ecosystem. The greenhouse gas emissions and distribution characteristics of different ecosystems are different. Adjusting the sample acquisition method according to the specific situation can ensure the accuracy and reliability of the greenhouse gas analysis results, thereby better reflecting the greenhouse gas emission status of the ecosystem.

[0102] In an optional embodiment, the specific content of obtaining the optimal greenhouse gas sample is as follows:

[0103] The gas composition detection subsystem uses Fourier transform infrared spectroscopy to perform mass analysis on different gas samples. When selecting the characteristic absorption spectrum corresponding to different gas samples, in addition to following the key principles of minimum interference between different gas samples and moderate absorption intensity, the following factors need to be further considered:

[0104] The selected characteristic absorption spectrum should have sufficient separation, that is, the characteristic absorption peaks of the gas sample should not overlap as much as possible to reduce cross-interference, to ensure that during the analysis process, the mutual influence between different gas components is minimized, and to improve the accuracy of gas quantitative analysis.

[0105] Selecting a spectrum with moderate characteristic absorption intensity helps optimize the signal-to-noise ratio. Weaker absorption peaks are easily submerged by noise, resulting in unstable analysis results. On the contrary, overly strong absorption peaks will saturate at high concentrations and lose quantitative analysis capabilities. Therefore, it is necessary to select an absorption peak with moderate intensity that can maintain a stable signal-to-noise ratio within different concentration ranges and improve the reliability and accuracy of the analysis.

[0106] In practical applications, gas concentrations may vary over a wide range. Therefore, when selecting characteristic absorption spectra, it is necessary to consider the dynamic range of the gas sample, that is, whether the selected characteristic absorption spectra can cover the possible concentration variation range to ensure effective quantitative analysis under different greenhouse gas concentrations.

[0107] Spectral resolution refers to the ability of a spectrometer to distinguish adjacent spectral lines. When selecting a characteristic absorption spectrum, the influence of spectral resolution needs to be considered. If the spectral resolution of the selected spectrum is insufficient, it will cause overlapping or confusion of adjacent spectral lines, affecting the accuracy of quantitative analysis results.

[0108] In addition, different models of spectrometers have different performance characteristics and limitations. When selecting characteristic absorption spectrum, it is necessary to consider the characteristics of the instrument used in the gas composition detection subsystem, such as spectral range, resolution, sensitivity, etc., to ensure that the selected spectrum is within the performance range of the instrument, so as to fully utilize the advantages of the instrument and avoid its limitations.

[0109] When the gas composition detection subsystem uses Fourier transform infrared spectroscopy technology to perform quantitative analysis on different gas samples, the selection of characteristic absorption spectrum bands needs to comprehensively consider factors such as spectral separability, signal-to-noise ratio optimization, dynamic range, spectral resolution, and instrument characteristics and limitations in order to minimize interference and improve signal-to-noise ratio and dynamic range.

[0110] In this embodiment, an FTIR spectrometer with a resolution of 1 cm is used in the gas composition detection subsystem, and an optical path range of 30 to 50 m is maintained. Multiple tests and data comparisons are carried out in combination with equipment performance and ecosystem environment to ensure the reliability of the optimal greenhouse gas sample. Furthermore, when multiple groups of gas samples are compared and analyzed simultaneously, it is necessary to select characteristic absorption peaks of two or more gas samples for comprehensive comparison. When selecting the absorption peak of the gas sample, it is first necessary to ensure that the gas sample is within the measured concentration range and has a similar intensity magnitude to improve the reliability of the comparison result, thereby selecting the optimal greenhouse gas sample for subsequent quantitative analysis.

[0111] The gas composition detection subsystem uses gas concentration detection equipment to detect the optimal greenhouse gas samples and obtain the composition detection results of the ecosystem greenhouse gases. The specific implementation contents are as follows:

[0112] The optimal greenhouse gas sample obtained by screening based on the above selection principle has the most suitable spectral band to ensure that the selected band can reflect the specific information of greenhouse gases to the greatest extent and reduce the interference of other gases in the ecosystem. In this embodiment, the gas composition detection subsystem uses the above Fourier transform infrared spectroscopy technology to detect and analyze the optimal greenhouse gas sample. For specific infrared spectral information of the optimal greenhouse gas sample, please refer to Figure 4 , Figure 5 and Figure 6 .

[0113] In order to further demonstrate the results of the detection of greenhouse gas components in the ecosystem, combined with the schematic diagram Figure 4 , 5, 6 information and infrared spectrum data to obtain the key data of greenhouse gases, which mainly include greenhouse gas components such as water vapor, carbon dioxide, methane and nitrous oxide. Please see Table 1 for details.

[0114] Table 1 Information table of key components of greenhouse gases

[0115]

[0116] The absorption intensity levels of greenhouse gas components in Table 1 are I, II, and III, which represent primary, secondary, and tertiary levels respectively, and the absorption levels increase in sequence. Level I (I) indicates that the greenhouse gas component has a lower absorption intensity; Level II (II) indicates that the absorption intensity of the greenhouse gas component is moderate, higher than Level I; Level III (III) indicates that the greenhouse gas component has the highest absorption intensity, which is much higher than Level I and Level II, and has the strongest absorption capacity.

[0117] Among them, water vapor (H2O) is the most abundant greenhouse gas in the atmosphere. The change in its content is affected by many factors such as surface temperature, humidity and atmospheric circulation. Although the life cycle of water vapor in the atmosphere is relatively short, its contribution to the greenhouse effect is very significant.

[0118] Carbon dioxide (CO2) is mainly produced by human activities and natural processes. Its concentration in the atmosphere continues to rise and is one of the main factors causing global warming.

[0119] Methane (CH4) is a potent greenhouse gas with a greenhouse effect that is approximately 28 times that of carbon dioxide. Calculated by unit mass in the examples, methane is mainly produced by methanogens in anoxic environments and is also closely related to human activities, such as livestock and poultry farming, fishery farming, sewage treatment, etc.

[0120] Nitrous oxide (N2O) is a relatively minor greenhouse gas with a high greenhouse effect potential, about 265 times that of carbon dioxide. It is mainly produced by agricultural activities such as the use of nitrogen fertilizers and animal manure management, and certain industrial processes.

[0121] In the embodiment, a gas composition fitting model is set in the gas concentration detection device based on the infrared spectrum information of the optimal greenhouse gas sample. In the embodiment, the gas concentration detection device uses infrared spectrum technology to analyze the optimal greenhouse gas sample. The gas concentration detection device combines the analysis results of the optimal greenhouse gas sample and the gas composition fitting model to obtain the composition detection results of the greenhouse gas in the ecosystem.

[0122] Firstly, the spectral data of the optimal greenhouse gas samples are preprocessed using existing data preprocessing techniques to eliminate noise, perform baseline correction, smoothing or normalization, etc., which helps to improve the accuracy of subsequent analysis results. Then, key features are extracted from the preprocessed spectral data. The above features are related to the composition and concentration of the gas samples, including but not limited to characteristic information such as the derivative, peak value, valley value, and area of ​​the spectrum.

[0123] In the embodiment, the extracted features and known greenhouse gas composition and concentration data are used to establish a gas composition fitting model. In addition, multiple linear regression, principal component regression, partial least squares regression, and machine learning algorithms can be used to fit relevant data.

[0124] An independent validation data set is used to evaluate the performance of the gas composition fitting model. The accuracy of the model is evaluated by calculating prediction errors such as mean square error, relative error, and statistical indicators such as determination coefficient and F statistic. The model is then optimized based on the validation results, including but not limited to adjusting model parameters and selecting a more appropriate algorithm.

[0125] The above gas composition fitting model satisfies the following relationship:

[0126]

[0127] in, Indicates the concentration values ​​of different components in greenhouse gases. Indicates the total number of data points within the fitting band. Indicates The calculation data of each point, Indicates The measurement data of each point.

[0128] The gas composition fitting model is applied to the gas concentration detection equipment to predict the gas composition of the optimal greenhouse gas sample. The equipment predicts the different components in the gas sample through the infrared spectrum, extracted features and related data of the optimal greenhouse gas sample, thereby obtaining the gas composition and concentration estimates of the optimal greenhouse gas sample.

[0129] In the ecosystem full-component greenhouse gas collection system, since there is no fixed greenhouse gas sample in the ecosystem, it is not feasible to directly analyze and calibrate the gas spectrum through the same instrument device. The traditional calibration method mainly relies on the reference spectrum provided by the existing spectral library for information calibration. Since the reference spectrum and the actual measured spectrum are obtained under different environmental conditions and instrument parameters, there are many restrictions and limitations.

[0130] In order to overcome the limitations of the inherent calibration method, the present invention establishes a gas composition fitting model to calibrate the spectrum. The model established with reference to the existing database can comprehensively consider the influence of environmental factors, such as air pressure, temperature, path length and instrument parameters such as resolution, field of view and toe-cutting, thereby generating a calibration spectrum that matches the measured spectrum in linear resolution and wavenumber offset.

[0131] During the quantitative analysis stage of the optimal greenhouse gas sample, the measured spectrum of the gas sample will be fitted. The above fitting process includes but is not limited to the nonlinear least squares algorithm. The spectrum fitting is continuously optimized through iterative calculation until the residual between the calculated spectrum and the measured spectrum reaches an acceptable minimum value. Based on this, accurate information about the different components in the optimal greenhouse gas sample can be obtained.

[0132] Furthermore, the method of obtaining gas sample information through a gas composition fitting model in this embodiment is only an optional condition of the present invention. In one or some other embodiments, the method for obtaining gas sample information can be adjusted according to the greenhouse gas detection requirements and the ecosystem conditions. There are differences in greenhouse gas emissions and ecosystem conditions in different regions and time periods. Adjusting the method for obtaining gas sample information according to different conditions can ensure the accuracy and reliability of the greenhouse gas analysis results.

[0133] The greenhouse gas collection system for all components of the ecosystem also includes a gas composition detection subsystem that evaluates the analysis results of the greenhouse gas composition of the ecosystem.

[0134] In this system, the root mean square error is used to evaluate the spectral fitting results of the ecosystem. The root mean square error value of the data is obtained based on the predicted value and the true value of the ecosystem to quickly measure the degree of difference between the analysis results and the actual measurement data.

[0135] The above root mean square error satisfies the following relationship:

[0136]

[0137] in, represents the root mean square error of the greenhouse gas spectrum fitting results, Represents the total number of data points within the fitting band. Indicates The measurement data of each point, Indicates The fitting data of the points.

[0138] In the gas composition detection subsystem, the root mean square error ( ) can be used as a key indicator to quantify the difference between the analysis results and the observed data. A smaller RMS error value indicates a higher consistency between the analysis results and the observed data, that is, the accuracy of the analysis results is higher. On the contrary, a larger RMS error value indicates that the analysis results have a large error and need further processing or optimization.

[0139] In order to ensure the reliability and accuracy of the analysis results, a reasonable Thresholds,The above thresholds should be determined comprehensively based on historical data, expert knowledge, system requirements and other factors.

[0140] In an optional embodiment, the root mean square error value is lower than the set If the RMS error is higher than the threshold, it indicates that the analysis result is acceptable and can accurately reflect the greenhouse gas composition and concentration information of the ecosystem. The analysis result can be used for subsequent data analysis and decision support. When the threshold is exceeded, it means that there is a large error in the current analysis result and further fitting and data detection are needed, including but not limited to adjusting the parameters of the gas composition fitting model, adding more gas sample detection data, and gradually reducing the root mean square error value through continuous iteration and optimization to improve the accuracy and reliability of the analysis results.

[0141] In the greenhouse gas collection system for all components of the ecosystem, the root mean square error is used to evaluate the analysis results, and the analysis results are further processed through reasonable thresholds to ensure the accuracy and reliability of the analysis results, providing strong support for ecosystem greenhouse gas monitoring and management.

[0142] S4. The intelligent communication subsystem displays the greenhouse gas information of all components of the ecosystem based on the total amount of income and expenditure and the results of component detection. The specific steps and implementation contents are as follows:

[0143] An information visualization device and a remote communication device are installed in the intelligent communication subsystem. The information visualization device and the remote communication device will receive the total amount of income and expenditure and the component detection results, and then present the greenhouse gas collection and analysis information of all components of the ecosystem in a visual form.

[0144] The intelligent communication subsystem is equipped with information visualization devices and remote communication devices, which can improve the information transmission efficiency and intelligence level of the system. The information visualization device can convert complex data in the system into intuitive and easy-to-understand visualization graphics.

[0145] In an optional embodiment, the input end of the intelligent communication subsystem is connected to the gas measurement subsystem and the gas composition detection subsystem respectively, so that the intelligent communication subsystem can receive data from the gas measurement subsystem and the gas composition detection subsystem in real time and accurately, ensuring the timeliness of monitoring, and concentrating all received data in the intelligent communication subsystem for display and analysis, which helps to quickly understand the current gas status and composition changes.

[0146] First, the intelligent communication subsystem integrates data from different data sources, including but not limited to real-time data, historical data, statistical data, etc. of greenhouse gases of all components of the ecosystem. The above data are the basis of information visualization: Then, according to the specific needs of the system and the characteristics of the data, appropriate visualization tools are selected, including but not limited to bar charts, line charts, pie charts, and heat maps, to intuitively display the data characteristics and trends of greenhouse gases of all components of the ecosystem.

[0147] In addition, before the data is presented as a visual graphic, the information visualization device performs necessary processing and cleaning on the data to eliminate noise data such as outliers and duplicate values ​​and improve data quality. At the same time, in order to improve system performance, the information visualization device should have an interactive design, allowing data to be explored, filtered or other customized operations through clicks, drags and other operations. In addition, for real-time data on greenhouse gases, the information visualization device has the ability to update in real time to ensure that relevant personnel can obtain the latest data and information.

[0148] The remote communication device is an important device for realizing remote communication and data transmission of the intelligent communication subsystem. When setting up the remote communication device, the specific contents are as follows;

[0149] In another optional embodiment, according to the application scenario of the ecosystem and the gas monitoring requirements, the remote communication device selects a suitable communication protocol, such as TCP / IP, HTTP, MQTT, etc., which can meet different data transmission requirements and system performance requirements; at the same time, according to the communication protocol and data transmission volume, select suitable hardware equipment, including but not limited to modems, routers, switches, so as to ensure stable transmission and efficient processing of system data.

[0150] On the other hand, in order to ensure the security of system data during remote communication, necessary security measures need to be taken, such as data encryption and identity authentication, to ensure that data is not leaked or tampered with during transmission. In addition, as the system data increases, the remote communication device also needs to have good scalability to support more equipment and information access.

[0151] The intelligent communication subsystem can also support remote data transmission functions, which is helpful for remote monitoring and management of gas measurement and component detection subsystems, improving the flexibility and convenience of the ecosystem full-component greenhouse gas collection system and related analysis methods of the present invention. The intelligent communication subsystem can dynamically adjust the allocation and use of communication resources according to the actual needs of each subsystem, thereby optimizing resource allocation and reducing communication costs.

[0152] The intelligent communication subsystem connects the input end to the gas measurement subsystem and the gas composition detection subsystem respectively, which can realize real-time transmission and monitoring of data, improve the reliability and stability of the system, facilitate system expansion and maintenance, and support remote monitoring and intelligent management, which jointly improves the efficiency of the entire ecosystem full-component greenhouse gas collection system and contributes to the practical application of the ecosystem full-component greenhouse gas collection system.

[0153] Embodiment: Arranging an information visualization device and a remote communication device in the intelligent communication subsystem can enhance the intelligence level of the greenhouse gas collection system of all components of the ecosystem, and improve the efficiency, stability and safety of the system.

[0154] Furthermore, the main component equipment of the intelligent communication subsystem in this embodiment is only an optional condition of the present invention. In one or some other embodiments, the specific equipment of the intelligent communication subsystem can be adjusted and replaced according to the greenhouse gas analysis requirements and the intelligence level. The corresponding equipment can be flexibly selected and configured according to the greenhouse gases of different ecosystems to ensure the intelligence level of the greenhouse gas collection system for all components of the ecosystem.

[0155] See also Figure 7 The ecosystem full-component greenhouse gas collection system of the present invention has a complete structure, objective stability, and can efficiently execute the specific implementation steps and contents involved in the present invention, thereby improving the overall applicability and practical application capabilities of the present invention.

[0156] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. An ecosystem full-component greenhouse gas collection system, characterized in that: The ecosystem full-component greenhouse gas collection system includes: a gas collection subsystem, a gas measurement subsystem, a gas composition detection subsystem and an intelligent communication subsystem; The gas collection subsystem is used to collect greenhouse gases from all components of the ecosystem to obtain greenhouse gas collection samples; The gas measurement subsystem receives the greenhouse gas collection samples, analyzes the greenhouse gas collection samples, and obtains the total amount of greenhouse gas revenue and expenditure of the ecosystem, and the gas composition detection subsystem is connected to the gas collection subsystem and the gas measurement subsystem respectively; The gas composition detection subsystem detects the greenhouse gas composition of the ecosystem according to the total amount of income and expenditure and the greenhouse gas collection samples, and obtains the composition detection result of the greenhouse gas of the ecosystem; The intelligent communication subsystem displays the greenhouse gas information of all components of the ecosystem according to the total amount of income and expenditure and the component detection results; The gas measurement subsystem receiving the greenhouse gas collection sample includes: The gas measurement subsystem is connected to the gas collection subsystem via a multi-channel pipeline converter; The input end of the gas measurement subsystem is connected to the multi-channel pipeline converter; The output end of the gas measurement subsystem is connected to the gas composition detection subsystem and the intelligent communication subsystem respectively; The gas measurement subsystem receives the greenhouse gas samples, analyzes the greenhouse gas samples, and obtains the total amount of greenhouse gas revenue and expenditure of the ecosystem, including: configuring a greenhouse gas analyzer in the gas measurement subsystem; The greenhouse gas analyzer analyzes the greenhouse gas samples to obtain greenhouse gas fluxes of different components in the ecosystem; Obtaining the total amount of greenhouse gas balance of the ecosystem according to the greenhouse gas fluxes of the different components; The greenhouse gas fluxes of the different components satisfy the following relationship: ， Where F represents the greenhouse gas flux of different components, represents the gas density, V represents the volume of the top box, A represents the bottom area of ​​the top box, Indicates the change of gas concentration in the box over time; The total amount of greenhouse gas balance in the ecosystem satisfies the following relationship: ， Among them, E represents the total greenhouse gas balance of all components of the ecosystem, F1 represents the greenhouse gas flux of component 1, S1 represents the area of ​​component 1, F2 represents the greenhouse gas flux of component 2, S2 represents the area of ​​component 2, Fn represents the greenhouse gas flux of component n, Sn represents the area of ​​component n, and T represents a period of time; The ecosystem-wide greenhouse gas collection system also includes: Installing gas sample preliminary inspection equipment and gas concentration detection equipment in the gas composition detection subsystem; The gas composition detection subsystem detects the greenhouse gas composition of the ecosystem according to the total amount of income and expenditure and the greenhouse gas collection sample, and obtains the composition detection results of the greenhouse gas of the ecosystem, including: The gas composition detection subsystem is respectively connected to the gas collection subsystem, the gas measurement subsystem and the intelligent communication subsystem; The gas composition detection subsystem uses the gas sample preliminary inspection equipment to screen the greenhouse gas collection samples to obtain the optimal greenhouse gas samples; The gas composition detection subsystem detects the optimal greenhouse gas sample using the gas concentration detection device and obtains the composition detection result of the greenhouse gas of the ecosystem; The gas composition detection subsystem uses the gas sample preliminary inspection device to screen the greenhouse gas collection samples to obtain the optimal greenhouse gas samples, including: Setting a gas quality analysis model in the gas sample preliminary inspection device; The gas sample preliminary inspection equipment uses the gas quality analysis model to obtain the quality status of gases of different components; Screening the greenhouse gas samples based on the quality conditions to obtain the best greenhouse gas samples; The gas quality analysis model satisfies the following relationship: ， in, represents the signal-to-noise ratio of infrared spectrum, represents the total greenhouse gas balance of all components of the ecosystem, Indicates the measurement time, Indicates spectral resolution.

2. The ecosystem full-component greenhouse gas collection system according to claim 1, characterized in that: The gas collection subsystem is used to collect greenhouse gases from all components of the ecosystem to obtain greenhouse gas collection samples including: A floating box, a static box and a plant gas chamber are provided in the gas collection subsystem; Greenhouse gases of all components of the ecosystem are collected based on the floating box, the static box and the plant gas chamber to obtain greenhouse gas collection samples.

3. The ecosystem full-component greenhouse gas collection system according to claim 1, characterized in that: The gas composition detection subsystem detects the optimal greenhouse gas sample using the gas concentration detection device, and obtains the composition detection results of the ecosystem greenhouse gas, including: Setting a gas composition fitting model in the gas concentration detection device; The gas concentration detection equipment uses infrared spectroscopy technology to analyze the optimal greenhouse gas samples; The gas concentration detection device combines the analysis results of the optimal greenhouse gas sample and the gas composition fitting model to obtain the composition detection results of the greenhouse gas in the ecosystem.

4. The ecosystem full-component greenhouse gas collection system according to claim 1, characterized in that: The intelligent communication subsystem displays the greenhouse gas information of all components of the ecosystem according to the total amount of income and expenditure and the component detection results, including: An information visualization device and a remote communication device are provided in the intelligent communication subsystem; The input end of the intelligent communication subsystem is connected to the gas measurement subsystem and the gas composition detection subsystem respectively; The information visualization device and the remote communication device present the total amount of income and expenditure and the component detection results in a visualized form.

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