Soil science exhibition and interactive experience integrated system

Abstract

The invention relates to the technical field of man-machine interaction, in particular to a soil science exhibition and interactive experience integrated system which comprises the steps that a dynamic change curve of the carbon release rate of a soil sample is captured; detecting the dynamic change of the isotope in the decomposition process through a mass spectrometer, and generating carbon decomposition path data; adopting a machine learning algorithm to construct a soil carbon sink prediction model of the soil carbon sink capacity; a user is supported to input different environmental parameters to predict carbon fixation and carbon release of soil in future time; the whole process from plant residue decomposition to carbon storage to carbon release is displayed; through a visual interface, a user is supported to adjust environmental parameters through gesture interaction, and dynamic changes of carbon circulation under different environmental conditions are observed; according to the invention, layered dynamic display and interactive dynamic response of soil carbon circulation are realized, a complex carbon circulation process is concrete, and a brand new mode is provided for scientific exhibition, education and scientific research application of soil.

Description

Technical Field

[0001] The present invention relates to the field of human-computer interaction technology, and in particular to a soil science exhibition and interactive experience integrated system. Background Art

[0002] Soil carbon sink refers to the process by which soil plays a key role in the global carbon cycle by absorbing and storing carbon. As an important component of terrestrial ecosystems, soil carbon sink is of great significance in mitigating climate change, improving agricultural productivity and improving the ecological environment. However, the soil carbon cycle process is complex, involving multiple links such as the decomposition of plant residues, the transformation of organic matter, and the release of carbon dioxide and methane. This makes accurate monitoring and prediction of its dynamic changes a difficult point in research.

[0003] In soil carbon sink monitoring and analysis, existing technologies mainly use static observation and analysis methods based on empirical models. Dynamic monitoring is insufficient and mostly relies on discrete sampling and single analysis. It is difficult to capture the real-time dynamic changes of soil carbon release rate and decomposition path. Existing soil carbon cycle research is mostly displayed in two-dimensional charts, which cannot intuitively present the multi-level dynamic changes of the carbon cycle process, which is not conducive to popular science, education and research applications. Summary of the invention

[0004] The present invention provides a soil science exhibition and interactive experience integrated system.

[0005] The integrated soil science exhibition and interactive experience system includes: Soil respiration monitoring and carbon release sensing module: real-time monitoring of carbon dioxide (CO) released during soil sample respiration through a gas sensor array 2 and methane CH 4 The concentration changes, combined with the microclimate control device to adjust the environmental parameters of the soil samples, capture the dynamic change curve of the carbon release rate; Organic carbon decomposition path tracking module: Use stable isotope labeling technology to label organic matter in the soil, detect the dynamic changes of isotopes during the decomposition process through a mass spectrometer, generate carbon decomposition path data, and analyze the process of organic matter converting into carbon dioxide and methane; Soil carbon sink dynamic model construction module: Based on the collected dynamic change curve of carbon release rate and carbon decomposition path data, a soil carbon sink prediction model of soil carbon sink capacity is constructed using machine learning algorithms; users are supported to input different environmental parameters (water content, temperature changes and oxygen concentration) to predict soil carbon fixation and carbon release in the future; Carbon cycle panoramic visualization module: Combined with the soil carbon sink prediction model, the carbon cycle dynamic process is superimposed on the soil sample using augmented reality technology to show the entire process from plant residue decomposition to carbon storage and then to carbon release. The visualization interface supports users to adjust environmental parameters through gesture interaction and observe the dynamic changes of the carbon cycle under different environmental conditions.

[0006] Optionally, the gas sensor array comprises: Infrared gas analysis sensor: used to detect the concentration of carbon dioxide released by soil samples in real time; Semiconductor gas sensor: used to detect methane concentration in the range of 0-1000 ppm.

[0007] Optionally, the environmental parameters include temperature , water content The microclimate control device is used to simulate and adjust the environmental parameters of the soil sample, including: Temperature control unit: adopts heating and cooling system, supports temperature adjustment in the range of -10-50°C; Humidity adjustment unit: Dynamic adjustment of soil sample moisture content is achieved through ultrasonic atomizer and dehumidification system.

[0008] Optionally, the soil respiration monitoring and carbon release sensing module further includes: Data acquisition unit: integrates the measurement signals of the gas sensor array and records the concentration change data at a frequency of 1 Hz. The concentration change is expressed as: ,in, The carbon dioxide or methane released by the soil at any time The concentration of yes The gas concentration at the time, is the gas concentration at the current time point, is the sampling time interval, is the instantaneous rate of change of gas concentration; The carbon release rate is calculated as: ,in, is the carbon release rate, including the carbon dioxide release rate and the methane release rate, is the concentration change, , is the sampling volume, is the exposed area of ​​the soil sample; Correlation analysis unit: The calculated carbon release rate is recorded synchronously with the temperature and water content, the relationship between the carbon release rate, temperature and water content is analyzed, and the following linear model is constructed through regression analysis: ,in, is the carbon release rate, is the temperature of the soil sample, is the water content of the soil sample, is the intercept, which represents the basic release rate without the influence of temperature and moisture, is the temperature coefficient, which reflects the influence of temperature on the carbon release rate. is the moisture content coefficient, which reflects the influence of moisture content on the carbon release rate.

[0009] Optionally, the organic carbon decomposition path tracking module specifically includes: Stable isotope labeling: using Isotope labeling technology is used to label target organic matter in soil, including humus, plant residues and root secretions. Labeled compounds (such as Labeled glucose or amino acids) are evenly applied to the soil sample, allowing it to penetrate into different layers of the soil sample and mix with natural organic matter; Dynamic collection of isotope decomposition: The labeled soil samples are placed in a sealed air chamber, and the carbon dioxide and methane released in the air chamber are detected in real time by a mass spectrometer. Isotope signal, the mass spectrometer uses gas chromatography-mass spectrometry to separate and analyze the isotope ratio of the gas sample (such as ratio) to capture the decomposition process of marker organic matter and calculate the decomposition rate: ,in, is the decomposition rate of organic matter, In unit time The concentration change, is the sampling time interval, is the soil sample mass; Carbon decomposition pathway data generation: by comparing the released The distribution ratio of isotope concentrations in carbon dioxide and methane, and the analysis of the decomposition pathways of different organic substances, including: the decomposition pathway and contribution rate of organic substances into carbon dioxide, the decomposition pathway and contribution rate of organic substances into methane; Calculate the decomposition rate of carbon dioxide separately and the decomposition rate of methane , the total rate is the sum of the decomposition rates of carbon dioxide and methane: ; Calculate the carbon dioxide and methane isotope contributions: Contribution of carbon dioxide: ; Contribution of methane: ; The decomposition path diagram is dynamically generated to intuitively present the complete process from labeling organic matter to final gas release.

[0010] Optionally, the soil carbon sink dynamic model construction module includes constructing a time series input data set, each time step including: ,in, It's time The water content, It's time The temperature, It's time The carbon dioxide release rate, It's time The methane release rate; Output targets include: Carbon fixation : Total amount of carbon fixation per unit time; Carbon release : Total amount of carbon released per unit time; Time window: To capture dynamic changes, the input data is windowed in time. For units; The soil carbon sink dynamic model construction module constructs a soil carbon sink prediction model based on the long short-term memory network. The input is , the output is carbon fixation and carbon release, based on the trained soil carbon sink prediction model, input future time series ; Use the trained soil carbon sink prediction model to recursively predict: ; It is predicted The amount of carbon fixed at the time, is the model parameter weight, obtained through training optimization; ; It is predicted The amount of carbon released at a given time, is the model parameter bias term, obtained through training optimization; In the forecast time range Calculate the cumulative carbon fixation and carbon release : ; .

[0011] Optionally, the model structure of the soil carbon sink prediction model includes: Input layer: Input feature time series: ,in, is the time window length, is the feature dimension at each time step (e.g. ); The short-term and long-term dependencies of time series are captured by LSTM units in the long short-term memory network. LSTM units include: Forget Gate: ;in, It is the output of the forget gate, which is used to control which information in the memory unit needs to be forgotten. is the weight matrix of the forget gate, is the hidden state at the previous moment and the current input The splicing, is the bias term of the forget gate, It is the Sigmoid activation function, which is used to compress the output value to the range of 0-1; Input Gate: ;in, Is the output of the input gate, which is used to control which information in the current input needs to be added to the memory unit. is the weight matrix of the input gate, is the bias term of the input gate; Candidate memory cell update: ;in, is the value of the candidate memory cell, used to update the memory cell, is the weight matrix of the candidate memory unit, is the bias term of the candidate memory unit, and tanh is the hyperbolic tangent activation function (output range: -1-1); Output Gate: ;in, is the output of the output gate, which is used to control the output of the hidden state. is the weight matrix of the output gate, is the bias term of the output gate; Memory unit update: ;in, is the memory cell value at the current moment, The memory cell value at the previous moment, , , The outputs from the forget gate, input gate, and candidate memory unit respectively; Hide status updates: ;in, is the hidden state at the current moment, is the output of the output gate, is the value of the current memory cell; Fully connected layer: maps the output of the LSTM layer to the target variable space: ,in, is a predicted value, including carbon fixation , Carbon release , are the weights and biases of the fully connected layer, is the hidden state at the current moment.

[0012] Optionally, the carbon dioxide release rate ; The methane release rate .

[0013] Optionally, the carbon cycle panoramic visualization module specifically includes: Model data acquisition and dynamic rendering: Based on the dynamic data of carbon fixation and carbon release calculated by the soil carbon sink prediction model, the carbon cycle process is rendered into a visual three-dimensional dynamic image using augmented reality technology. The three-dimensional dynamic image includes the release path of carbon dioxide and methane generated from the decomposition of plant residues, the spatial distribution of carbon storage in the soil, and the dynamic process of soil-atmosphere carbon exchange; Hierarchical visualization of decomposition pathways: By marking the carbon decomposition pathway data, the process of converting organic matter into carbon dioxide and methane is visualized as streamlines of different colors, and the hierarchical dynamic structure of the carbon cycle is superimposed around the soil sample, including plant residues, humus, soil microbial activity, and gas exchange layers.

[0014] Optionally, the carbon cycle panoramic visualization module further includes interactive adjustment of environmental parameters: Provides an interactive visual interface, allowing users to adjust environmental variables through gesture control or touch screen, including: Adjustment range of water content H (0-100%); Adjustment range of temperature T (-10°C to 50°C); After the user makes adjustments, the soil carbon sink prediction model is called in real time to recalculate carbon fixation and carbon release, and update the visualized carbon cycle dynamic effects.

[0015] Beneficial effects of the present invention: The present invention, by constructing a soil carbon sink prediction model based on long short-term memory network, can accurately capture the dynamic change trend of carbon release rate, and comprehensively analyze the influence of environmental parameters such as water content and temperature on carbon fixation and carbon release. Through the model prediction results, users can intuitively understand the dynamic process of soil carbon cycle under different environmental conditions, and provide a scientific basis for optimizing soil management, improving carbon sink capacity and reducing greenhouse gas emissions. Compared with the existing technology, the combination of time series analysis and carbon decomposition path contribution rate calculation significantly improves the accuracy and applicability of soil carbon cycle prediction.

[0016] The present invention uses augmented reality technology to superimpose the dynamic process of the carbon cycle on real soil samples, and displays the entire process from plant residue decomposition to carbon storage and then to gas release in a three-dimensional visual form. Users can adjust environmental parameters (such as water content and temperature) through gesture interaction, and observe the dynamic changes of the carbon cycle and its impact on carbon fixation and release in real time. The layered dynamic display and interactive dynamic response of the soil carbon cycle are realized, which makes the complex carbon cycle process concrete, and provides a new model for soil science exhibitions, education and scientific research applications.

[0017] The present invention captures the dynamic changes of carbon decomposition path data and carbon release rate through the combination of stable isotope labeling technology and high-precision gas sensors, and establishes a soil carbon sink capacity prediction model through a machine learning algorithm, combining the decomposition path with the carbon release prediction, intuitively presenting the decomposition path, and helping to quickly understand the soil carbon exchange process. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A schematic diagram of system function modules according to an embodiment of the present invention; Figure 2 Schematic diagram of calculating carbon dioxide and methane release rates according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0021] It should be noted that the references to "one embodiment", "embodiment", "exemplary embodiments", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0022] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0023] like Figure 1-Figure 2 As shown in the figure, the soil science exhibition and interactive experience integrated system includes: Soil respiration monitoring and carbon release sensing module: Real-time monitoring of carbon dioxide (CO) released during soil sample respiration through a gas sensor array 2 ) and methane (CH 4 ) concentration changes, combined with a microclimate control device to adjust the environmental parameters of the soil samples (such as temperature and water content) to capture the dynamic change curve of the carbon release rate; Organic carbon decomposition path tracking module: Use stable isotope labeling technology (13C labeling) to label organic matter in the soil (such as humus and plant residues), detect the dynamic changes of isotopes during the decomposition process through a mass spectrometer, generate carbon decomposition path data, and analyze the process of organic matter converting into carbon dioxide and methane; Soil carbon sink dynamic model construction module: Based on the collected dynamic change curve of carbon release rate and carbon decomposition path data, a soil carbon sink prediction model of soil carbon sink capacity is constructed using machine learning algorithms; users are supported to input different environmental parameters (water content, temperature changes and oxygen concentration) to predict soil carbon fixation and carbon release in the future; Carbon cycle panoramic visualization module: Combined with the soil carbon sink prediction model, the carbon cycle dynamic process is superimposed on the soil sample using augmented reality technology to show the entire process from plant residue decomposition to carbon storage and then to carbon release. The visualization interface supports users to adjust environmental parameters through gesture interaction and observe the dynamic changes of the carbon cycle under different environmental conditions.

[0024] The gas sensor array includes: Infrared gas analysis sensor: used to detect the concentration of carbon dioxide released by soil samples in real time with an accuracy of ±0.1ppm; Semiconductor gas sensor: used to detect methane concentration, the range is 0-1000 ppm, and the detection sensitivity is 1ppm.

[0025] Environmental parameters include temperature , water content , the microclimate control device is used to simulate and adjust the environmental parameters of the soil samples, including: Temperature control unit: adopts heating and cooling system, supports temperature adjustment in the range of -10-50°C with an accuracy of ±0.1°C; Humidity adjustment unit: Through the ultrasonic atomizer and dehumidification system, the moisture content of the soil sample can be dynamically adjusted in the range of 0-100% relative humidity with an accuracy of ±1%.

[0026] The soil respiration monitoring and carbon release sensing module also includes: Data acquisition unit: integrates the measurement signals of the gas sensor array and records the concentration change data at a frequency of 1 Hz. The concentration change is expressed as: ,in, The carbon dioxide or methane released by the soil at any time The concentration of yes The gas concentration at the time, is the gas concentration at the current time point, is the sampling time interval, is the instantaneous rate of change of gas concentration; The carbon release rate is calculated as: ,in, is the carbon release rate, including the carbon dioxide release rate and the methane release rate, is the concentration change, , is the sampling volume, is the exposed area of ​​the soil sample; Correlation analysis unit: The calculated carbon release rate is recorded synchronously with the temperature and water content, the relationship between the carbon release rate, temperature and water content is analyzed, and the following linear model is constructed through regression analysis: ,in, is the carbon release rate, is the temperature of the soil sample, is the water content of the soil sample, is the intercept, which represents the basic release rate without the influence of temperature and moisture, is the temperature coefficient, which reflects the influence of temperature on the carbon release rate. is the moisture content coefficient, which reflects the influence of moisture content on the carbon release rate.

[0027] According to the above model, the dynamic change curve of carbon release rate is generated and plotted respectively: Follow The change curve (fixed ); Follow The change curve (fixed ).

[0028] Represented as a two-dimensional curve: .

[0029] The organic carbon decomposition path tracking module specifically includes: Stable isotope labeling: using Isotope labeling technology is used to label target organic matter in soil, including humus, plant residues and root secretions. Labeled compounds (such as Labeled glucose or amino acids) are evenly applied to the soil sample, allowing it to penetrate into different layers of the soil sample and mix with natural organic matter; Dynamic collection of isotope decomposition: The labeled soil samples are placed in a sealed air chamber, and the carbon dioxide and methane released in the air chamber are detected in real time by a mass spectrometer. Isotope signal, the mass spectrometer uses gas chromatography-mass spectrometry to separate and analyze the isotope ratio of gas samples (such as ratio) to capture the decomposition process of marker organic matter and calculate the decomposition rate: ,in, is the decomposition rate of organic matter, In unit time The concentration change, is the sampling time interval, is the soil sample mass; Quantify the dynamic process of organic matter conversion into carbon dioxide and methane, and calculate the decomposition rate directly for dynamic recording The intensity of isotope conversion during the decomposition process is the core basis of pathway data. It clarifies the rate at which labeled organic matter is converted into carbon dioxide and methane per unit time. The decomposition rate is used to compare the rates at which different organic matter (such as humus and plant residues) decompose into carbon dioxide and methane, helping to determine their contribution to the carbon cycle. Carbon decomposition pathway data generation: by comparing the released The distribution ratio of isotope concentrations in carbon dioxide and methane, and the analysis of the decomposition pathways of different organic substances, including: the decomposition pathway and contribution rate of organic substances into carbon dioxide, the decomposition pathway and contribution rate of organic substances into methane; Detect the released gas composition (CO 2 and CH 4 )of The isotope concentration is used to calculate the ratio of the isotope concentration to the total decomposition rate using a mass spectrometer to calculate the decomposition rate of carbon dioxide. and the decomposition rate of methane , the total rate is the sum of the decomposition rates of carbon dioxide and methane: ; Calculate the carbon dioxide and methane isotope contributions: Contribution of carbon dioxide: ; Contribution of methane: ; The decomposition path diagram is dynamically generated to intuitively present the complete process from labeling organic matter to final gas release.

[0030] Combined with decomposition path data, a dynamic visualization of the carbon decomposition path is generated, including: Comparative curves of decomposition rates of different types of organic matter; Dynamic distribution diagrams in carbon dioxide and methane; Users can select a specific time period or specific organic matter through the interactive interface and observe its decomposition dynamics in real time.

[0031] The soil carbon sink dynamic model building module includes building a time series input data set, each time step includes: ,in, It's time The water content, It's time The temperature, It's time The carbon dioxide release rate, It's time The methane release rate; Output targets include: Carbon fixation : Total amount of carbon fixation per unit time; Carbon release : Total amount of carbon released per unit time; Time window: To capture dynamic changes, the input data is windowed in time. For units; For example: the window length is 5 time steps, and each window is a sample: ; The soil carbon sink dynamic model construction module builds a soil carbon sink prediction model based on the long short-term memory network. The input is , the output is carbon fixation and carbon release, based on the trained soil carbon sink prediction model, input future time series ; Use the trained soil carbon sink prediction model to recursively predict: ; It is predicted The amount of carbon fixed at the time, is the model parameter weight, obtained through training optimization; ; It is predicted The amount of carbon released at a given time, is the model parameter bias term, obtained through training optimization; In the forecast time range Calculate the cumulative carbon fixation and carbon release : ; ; Carbon fixation trend curve: Changes over time.

[0032] Carbon release trend curve: Changes over time.

[0033] The mean square error (MSE) is used as the objective function to optimize the prediction results, and the model parameters are updated using back propagation and the Adam optimizer.

[0034] The model structure of the soil carbon sequestration prediction model includes: Input layer: Input feature time series: ,in, is the time window length, is the feature dimension at each time step (e.g. ); The short-term and long-term dependencies of time series are captured by LSTM units in the long short-term memory network. LSTM units include: Forget Gate: ;in, It is the output of the forget gate, which is used to control which information in the memory unit needs to be forgotten. is the weight matrix of the forget gate, is the hidden state at the previous moment and the current input The splicing, is the bias term of the forget gate, It is the Sigmoid activation function, which is used to compress the output value to the range of 0-1; Input Gate: ;in, Is the output of the input gate, which is used to control which information in the current input needs to be added to the memory unit. is the weight matrix of the input gate, is the bias term of the input gate; Candidate memory cell update: ;in, is the value of the candidate memory cell, used to update the memory cell, is the weight matrix of the candidate memory unit, is the bias term of the candidate memory unit, and tanh is the hyperbolic tangent activation function (output range: -1-1); Output Gate: ;in, is the output of the output gate, which is used to control the output of the hidden state. is the weight matrix of the output gate, is the bias term of the output gate; Memory unit update: ;in, is the memory cell value at the current moment, The memory cell value at the previous moment, , , The outputs from the forget gate, input gate, and candidate memory unit respectively; Hide status updates: ;in, is the hidden state at the current moment, is the output of the output gate, is the value of the current memory cell; Fully connected layer: maps the output of the LSTM layer to the target variable space: ,in, is a predicted value, including carbon fixation , Carbon release , are the weights and biases of the fully connected layer, is the hidden state at the current moment.

[0035] Carbon dioxide release rate ; Methane release rate .

[0036] The carbon cycle panoramic visualization module specifically includes: Model data acquisition and dynamic rendering: Based on the dynamic data of carbon fixation and carbon release calculated by the soil carbon sink prediction model, the carbon cycle process is rendered into a visual three-dimensional dynamic image using augmented reality technology. The three-dimensional dynamic image includes the release path of carbon dioxide and methane generated from the decomposition of plant residues, the spatial distribution of carbon storage in the soil, and the dynamic process of soil-atmosphere carbon exchange; Hierarchical visualization of decomposition pathways: By marking the carbon decomposition pathway data, the process of converting organic matter into carbon dioxide and methane is visualized as streamlines of different colors, and the hierarchical dynamic structure of the carbon cycle is superimposed around the soil sample, including plant residues, humus, soil microbial activity, and gas exchange layers.

[0037] The Carbon Cycle Panorama Visualization module also includes interactive adjustment of environmental parameters: Provides an interactive visual interface, allowing users to adjust environmental variables through gesture control or touch screen, including: Adjustment range of water content H (0-100%); Adjustment range of temperature T (-10°C to 50°C); After the user makes adjustments, the soil carbon sink prediction model is called in real time to recalculate carbon fixation and carbon release, and update the visualized carbon cycle dynamic effects.

[0038] Based on the environmental variables adjusted by the user, the dynamic changes of the carbon cycle are displayed in the augmented reality interface in real time, for example: Streamline changes showing increased carbon dioxide release rates as water content increases; Visualization showing the increase in carbon fixation as the temperature decreases.

[0039] Multi-angle visualization of the entire carbon cycle process: Allows users to rotate and zoom the augmented reality interface through gestures to observe different stages of the carbon cycle, including: from plant residues to organic matter decomposition; From soil carbon storage to release of carbon dioxide and methane.

[0040] Showing the temporal changes in soil carbon sequestration capacity from different perspectives.

[0041] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0042] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. The integrated soil science exhibition and interactive experience system is characterized by: include: Soil respiration monitoring and carbon release sensing module: The gas sensor array is used to monitor the changes in the concentration of carbon dioxide and methane released during the respiration of soil samples in real time. The environmental parameters of the soil samples are adjusted in combination with the microclimate control device to capture the dynamic change curve of the carbon release rate. Organic carbon decomposition path tracking module: Use stable isotope labeling technology to label organic matter in the soil, detect the dynamic changes of isotopes during the decomposition process through a mass spectrometer, generate carbon decomposition path data, and analyze the process of organic matter converting into carbon dioxide and methane; Soil carbon sink dynamic model construction module: Based on the collected dynamic change curve of carbon release rate and carbon decomposition path data, a soil carbon sink prediction model of soil carbon sink capacity is constructed using machine learning algorithm; it supports users to input different environmental parameters to predict soil carbon fixation and carbon release in the future; Carbon cycle panoramic visualization module: Combined with the soil carbon sink prediction model, the carbon cycle dynamic process is superimposed on the soil sample using augmented reality technology to show the entire process from plant residue decomposition to carbon storage and then to carbon release; The visual interface supports users to adjust environmental parameters through gesture interaction and observe the dynamic changes of carbon cycle under different environmental conditions.

2. The soil science exhibition and interactive experience integrated system according to claim 1 is characterized in that: The gas sensor array comprises: Infrared gas analysis sensor: used to detect the concentration of carbon dioxide released by soil samples in real time; Semiconductor gas sensor: used to detect methane concentration.

3. The soil science exhibition and interactive experience integrated system according to claim 2 is characterized in that: The environmental parameters include temperature , water content The microclimate control device is used to simulate and adjust the environmental parameters of the soil sample, including: Temperature control unit: adopts heating and cooling system, supports temperature adjustment in the range of -10-50°C; Humidity adjustment unit: Dynamic adjustment of soil sample moisture content is achieved through ultrasonic atomizer and dehumidification system.

4. The soil science exhibition and interactive experience integrated system according to claim 3 is characterized in that: The soil respiration monitoring and carbon release sensing module also includes: Data acquisition unit: integrates the measurement signals of the gas sensor array and records the concentration change data at a frequency of 1 Hz. The concentration change is expressed as: ,in, The carbon dioxide or methane released by the soil at any time The concentration of yes The gas concentration at the time, is the gas concentration at the current time point, is the sampling time interval, is the instantaneous rate of change of gas concentration; The carbon release rate is calculated as: ,in, is the carbon release rate, including the carbon dioxide release rate and the methane release rate, is the concentration change, , is the sampling volume, is the exposed area of ​​the soil sample; Correlation analysis unit: The calculated carbon release rate is recorded synchronously with the temperature and water content, the relationship between the carbon release rate, temperature and water content is analyzed, and the following linear model is constructed through regression analysis: ,in, is the carbon release rate, is the temperature of the soil sample, is the water content of the soil sample, is the intercept, which represents the basic release rate without the influence of temperature and moisture, is the temperature coefficient, which reflects the influence of temperature on the carbon release rate. is the moisture content coefficient, which reflects the influence of moisture content on the carbon release rate.

5. The soil science exhibition and interactive experience integrated system according to claim 4 is characterized in that: The organic carbon decomposition path tracking module specifically includes: Stable isotope labeling: using Isotope labeling technology is used to label target organic matter in soil, including humus, plant residues and root secretions. The labeled compound is applied evenly to the soil sample, allowing it to penetrate into different layers of the soil sample and mix with natural organic matter; Dynamic collection of isotope decomposition: The labeled soil samples are placed in a sealed air chamber, and the carbon dioxide and methane released in the air chamber are detected in real time by a mass spectrometer. Isotope signal: The mass spectrometer uses gas chromatography-mass spectrometry to separate and analyze the isotope ratio of the gas sample to capture the decomposition process of the labeled organic matter and calculate the decomposition rate: ,in, is the decomposition rate of organic matter, Is the unit time The concentration change, is the sampling time interval, is the soil sample mass; Carbon decomposition pathway data generation: by comparing the released The distribution ratio of isotope concentrations in carbon dioxide and methane, and the analysis of the decomposition pathways of different organic substances, including: the decomposition pathway and contribution rate of organic substances into carbon dioxide, the decomposition pathway and contribution rate of organic substances into methane; Calculate the decomposition rate of carbon dioxide separately and the decomposition rate of methane , the total rate is the sum of the decomposition rates of carbon dioxide and methane: ; Calculate the carbon dioxide and methane isotope contributions: Contribution of carbon dioxide: ; Contribution of methane: ; The decomposition path diagram is dynamically generated to intuitively present the complete process from labeling organic matter to final gas release.

6. The soil science exhibition and interactive experience integrated system according to claim 5, characterized in that: The soil carbon sink dynamic model building module includes building a time series input data set, each time step includes: ,in, It's time The water content, It's time The temperature, It's time The carbon dioxide release rate, It's time The methane release rate; Output targets include: Carbon fixation : Total amount of carbon fixation per unit time; Carbon release : Total carbon release per unit time; Time window: To capture dynamic changes, the input data is windowed in time. For units; The soil carbon sink dynamic model construction module constructs a soil carbon sink prediction model based on the long short-term memory network. The input is , the output is carbon fixation and carbon release, based on the trained soil carbon sink prediction model, input future time series ; Use the trained soil carbon sink prediction model to recursively predict: ; It is predicted The amount of carbon fixed at the time, is the model parameter weight, obtained through training optimization; ; It is predicted The amount of carbon released at a given time, is the model parameter bias term, obtained through training optimization; In the forecast time range Calculate the cumulative carbon fixation and carbon release : ； 。 7. The soil science exhibition and interactive experience integrated system according to claim 6, characterized in that: The model structure of the soil carbon sink prediction model includes: Input layer: Input feature time series: ,in, is the time window length, is the feature dimension at each time step; The short-term and long-term dependencies of time series are captured by LSTM units in the long short-term memory network. LSTM units include: Forget gate, input gate, candidate memory cell update, output gate, memory cell update, hidden state update, and fully connected layer, where the fully connected layer maps the output of the LSTM layer to the target variable space: ,in, is a predicted value, including carbon fixation , Carbon release , are the weights and biases of the fully connected layer, is the hidden state at the current moment.

8. The soil science exhibition and interactive experience integrated system according to claim 6, characterized in that: The carbon dioxide release rate ; The methane release rate .

9. The soil science exhibition and interactive experience integrated system according to claim 3, characterized in that: The carbon cycle panoramic visualization module specifically includes: Model data acquisition and dynamic rendering: Based on the dynamic data of carbon fixation and carbon release calculated by the soil carbon sink prediction model, the carbon cycle process is rendered into a visual three-dimensional dynamic image using augmented reality technology. The three-dimensional dynamic image includes the release path of carbon dioxide and methane generated from the decomposition of plant residues, the spatial distribution of carbon storage in the soil, and the dynamic process of soil-atmosphere carbon exchange; Hierarchical visualization of decomposition pathways: By marking the carbon decomposition pathway data, the process of converting organic matter into carbon dioxide and methane is visualized as streamlines of different colors, and the hierarchical dynamic structure of the carbon cycle is superimposed around the soil sample, including plant residues, humus, soil microbial activity, and gas exchange layers.

10. The soil science exhibition and interactive experience integrated system according to claim 9, characterized in that: The carbon cycle panoramic visualization module also includes interactive adjustment of environmental parameters: Provides an interactive visual interface, allowing users to adjust environmental variables through gesture control or touch screen, including: Adjustment range of water content H; Adjustment range of temperature T; After the user makes adjustments, the soil carbon sink prediction model is called in real time to recalculate carbon fixation and carbon release, and update the visualized carbon cycle dynamic effects.

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