Method and system for detecting ice, snow and water permeability coefficient of root-soil complex

Abstract

The invention discloses a root-soil complex ice-snow-water permeability coefficient detection method and system, and the detection method comprises the steps: obtaining a root-soil complex sample, and placing the sample in a sample barrel; setting an environment temperature for the sample barrel, and obtaining a temperature environment of the test soil; acquiring soil data of test soil based on a sensor; and based on the soil data, obtaining the ice, snow and water permeability coefficient of the root-soil complex sample. The problems that the influence of solid-liquid phase change and temperature gradient on soil water transportation in the simulated snow melting process is difficult to analyze due to the fact that a penetration test is carried out mostly based on a rainfall or normal temperature state in the prior art, and real-time and accurate determination cannot be carried out in the ice and snow water penetration coefficient detection are solved. Therefore, the real situation is comprehensively simulated based on the arrangement of the test soil and the ice and snow layer and the maintenance of the environment, the real-time acquisition of the ice and snow water permeability coefficient is realized, and the acquisition precision of the permeability coefficient is improved.

Description

Technical Field

[0001] This application belongs to the technical field of intelligent agriculture. Specifically, it relates to a method and system for detecting the snow and ice water permeability coefficient of a root-soil complex. Background Art

[0002] Snowmelt water is an important source of water resources in cold regions in spring, but its infiltration process is significantly affected by temperature, snow cover morphology, and soil structure. The amount of snowmelt infiltration can be measured by the permeability coefficient of the soil. Accurately measuring the permeability coefficient under snowmelt conditions is of great significance for flood warning, agricultural soil moisture conservation, and slope stability assessment.

[0003] However, traditional geotechnical permeability tests mostly focus on measurements under rainfall or normal temperature conditions, and it is difficult to simulate the influence of the solid-liquid phase change and temperature gradient on soil water migration during the snowmelt process. Even under negative temperature conditions, existing research mostly uses nuclear magnetic resonance technology to measure the water content change of frozen soil, but this method has deficiencies such as limited specimen size, expensive equipment, and complex operation. In addition, existing tests generally do not consider the interaction between plant roots and soil and the influence of snow and ice cover, and the influence mechanism of roots on soil permeability is extremely complex. The presence of roots will not only change the soil structure but also change the soil matrix suction by absorbing soil water, thereby further affecting the soil permeability. As the temperature rises, the snowmelt process is gradual and the temperature change range is large, which makes it difficult to accurately estimate the influence on soil permeability. Therefore, existing permeation devices are difficult to meet the high-precision scientific research needs, and the consideration of the permeability coefficient in engineering applications is also relatively limited. Therefore, how to achieve accurate and real-time detection of the snow and ice water permeability coefficient of the root-soil complex is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0004] In order to achieve real-time and accurate detection of the snow and ice water permeability coefficient of the root-soil complex, this application discloses a method and system for detecting the snow and ice water permeability coefficient of the root-soil complex, so as to obtain the snow and ice water permeability coefficient based on the creation of the environment and the real-time and accurate collection of soil data. Specifically: First aspect: A method for detecting the snow and ice water permeability coefficient of a root-soil complex, the detection method includes: Obtain a root-soil complex sample and place it into a sample bucket; Set the environmental temperature for the sample bucket to obtain the soil temperature environment for the test; Obtain the soil data of the soil for the test based on a sensor; Based on the soil data, obtain the snow and ice water permeability coefficient of the root-soil complex sample.

[0005] Optionally, the obtaining a root-soil complex sample and placing it into a sample bucket includes: A filter layer is arranged in the sample bucket, and the filter layer is composed of permeable stone and filter paper; Test soil is arranged on the filter layer; An ice and snow layer is arranged on the test soil.

[0006] Optionally, setting the ambient temperature of the sample bucket to obtain the temperature environment of the test soil includes: Based on a walk-in incubator, adjusting the internal temperature of the sample bucket, and the internal temperature of the sample bucket is the ambient temperature; Based on the heat preservation layer of the sample bucket, maintaining the ambient temperature; The ambient temperature is obtained based on the ambient temperature of the test soil in the natural state.

[0007] Optionally, obtaining the soil data of the test soil based on the sensor includes: Multiple pairs of sensors are arranged from top to bottom in the test soil, and multiple groups of soil data are obtained based on the multiple pairs of sensors; The multiple groups of soil data are sent to a data collector; The data collector sends the multiple groups of soil data to a workstation to obtain the ice and snow water permeability coefficient; The paired sensors include a matric suction sensor and a water and heat sensor; The soil data includes the matric suction, moisture and soil temperature of the test soil.

[0008] Optionally, obtaining the ice and snow water permeability coefficient of the root-soil complex sample based on the soil data includes: Based on the soil data and the ice and snow water permeability coefficient equation, obtaining the ice and snow water permeability coefficient, and the ice and snow water permeability coefficient equation is: ; Wherein, represents the ice and snow water permeability coefficient when the water content of the test soil is unsaturated; A represents the change rate of the water content of the test soil with time; B represents the change rate of the matric suction of the test soil with depth; C represents the change rate of the water content of the test soil with depth; represents the saturated permeability coefficient of the test soil; represents the saturated water content of the test soil.

[0009] Second aspect: A detection system for the ice-snow water permeability coefficient of a root-soil complex, which is used to execute the detection method for the ice-snow water permeability coefficient of the root-soil complex disclosed in the first aspect. It is characterized in that the detection system includes: a walk-in thermostat, a specimen barrel, a filter layer, a base, a drainage device, a pair of configured sensors, and an intelligent monitoring system; The specimen barrel and the walk-in thermostat are placed on the base, which is used to support the specimen barrel and the walk-in thermostat; The specimen barrel is arranged inside the walk-in thermostat, which is used to maintain the environmental temperature of the space where the specimen barrel is located; A filter layer is arranged inside the specimen barrel, and test soil and an ice-snow layer are arranged, which is used to obtain an ice-snow water penetration sample; The pair of configured sensors are also arranged inside the specimen barrel, and the pair of configured sensors are used to obtain the soil data of the test soil; The pair of configured sensors are connected to the intelligent monitoring system, and the intelligent monitoring system is used to obtain the ice-snow water permeability coefficient of the root-soil complex; The specimen barrel is also connected to the drainage device, and the drainage device is used to obtain the volume of water discharged from the test soil;

[0010] Optionally, the filter layer includes: permeable stone and filter paper; The permeable stone is arranged under the filter paper, and the filter paper is used to prevent the test soil from entering the space of the permeable stone; The permeable stone is used to drain the ice-snow water permeated by the test soil; It also includes: The test soil is arranged on the filter layer, and the ice-snow layer is arranged on the test soil.

[0011] Optionally, the specimen barrel includes: Sensor insertion holes are arranged in pairs in the test soil area, which are used to arrange the pair of configured sensors; Fixing holes are also arranged on the specimen barrel, and the fixing holes are used to be fixedly connected to the base; Drainage holes are also arranged on the specimen barrel, and the drainage holes are used to drain the ice-snow water permeated by the test soil from the specimen barrel.

[0012] Optionally, the intelligent monitoring system includes: a data collector and a workstation; The data collector is connected to the pair of configured sensors, which is used to obtain the soil data of the test soil; The workstation is connected to the data collector, which is used to obtain the ice-snow water permeability coefficient of the root-soil complex based on the soil data of the test soil.

[0013] Optionally, the drainage device includes a hose and a water collector; One end of the hose is connected to the drainage hole of the sample bucket for leading out the ice and snow water of the test soil from the sample bucket; The other end of the hose is connected to the water collector, and the water collector is used for storing the ice and snow water of the test soil discharged from the sample bucket; The hose is provided with scales for measuring the volume of the ice and snow water of the test soil discharged from the sample bucket.

[0014] The present application has the following beneficial effects: 1. Improve the rationality of sample collection. In the technical solution of the present application, it is possible to support the use of relatively large soil column sizes, overcoming the influence between the acquisition ranges of sensors. In addition, for the samples used, in the setting of the ice and snow layer, it can also be set based on actual requirements, thus fully broadening the setting requirement interval for the samples and improving the rationality of sample collection.

[0015] 2. Improve the accuracy of data collection. In the technical solution of the present application, by using the soil column between sensors at different levels as the sample unit, the uncertainty of using the test range of a single sensor as the test unit is overcome. At the same time, the sensors are arranged in groups to achieve the simultaneous collection of different types of data, and based on multiple data, the calculation accuracy of the permeability coefficient is improved.

[0016] 3. Improve the test efficiency. By using a walk-in incubator to achieve rapid heating and cooling of the environment, the experimental time can be saved and the influence of the experimental environment temperature on the experimental results can be eliminated.

[0017] 4. Improve the calculation rationality. The analytical expression of the unsaturated permeability coefficient derived by oneself is used for calculation, which improves the result accuracy and also improves the test efficiency.

[0018] 5. Realize automatic detection. Through the combined application of a workstation, a walk-in incubator, a hydrothermal sensor, a matrix suction sensor, and a data acquisition device, a highly automated function of controlling the test environment and collecting data for the permeability coefficient test is realized. Description of the Drawings

[0019] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required for use in the embodiments of the present application or the prior art. Obviously, only some embodiments of the present application are described below. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings. The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification, and are used together with the following specific embodiments to explain the present disclosure, but do not constitute a limitation to the present disclosure. In the accompanying drawings: Figure 1 It is a flowchart of a detection method for the ice, snow, and water penetration system of a root-soil complex provided by an embodiment of the present application; Figure 2 It is a schematic diagram of a detection system for the ice, snow, and water penetration coefficient of a root-soil complex provided by an embodiment of the present application; Figure 3 It is a top view of the sample bucket of a detection system for the ice, snow, and water penetration coefficient of a root-soil complex provided by an embodiment of the present application; Figure 4 It is a front view of the sample bucket of a detection system for the ice, snow, and water penetration coefficient of a root-soil complex provided by an embodiment of the present application; Figure 5 It is a schematic diagram of the base structure of a detection system for the ice, snow, and water penetration coefficient of a root-soil complex provided by an embodiment of the present application.

[0020] In the accompanying drawings: 1. Walk-in constant temperature chamber, 2. Sample bucket, 2-1 to 2-10. Sensor insertion holes, 2-11. Drain hole, 3. Matrix suction sensor, 4. Hydrothermal sensor, 5. Ice and snow layer, 6. Test soil, 6-1 to 6-4. Test soil unit bodies, 7. Root system, 8. Filter paper, 9. Permeable stone, 10. Hose, 11. Base, 12. Water collector, 13. Data collector, 14. Workstation, 11-1 to 11-14. Bolts, 11-5 to 11-8. Nuts, 11-9. Tray, 15. Wire, 16. Thermal insulation layer. Detailed implementation manners

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application. Additionally, in the embodiments of the present application, "first", "second", etc. are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence.

[0022] In the current process of detecting and determining the ice-snow water permeability coefficient of the root-soil complex, the main method used is to directly conduct on-site tests, insert sensors in a large area of soil, and then obtain data results. The main problems with this method are as follows: on the one hand, it can only obtain soil parameters in relatively shallow areas, and then determine the ice-snow water permeability coefficient of the shallow layer based on the obtained soil parameters, resulting in poor determination of the ice-snow water permeability coefficient of the deep layer. On the other hand, for the obtained sample area, it is difficult to achieve real-time measurement and tracking of soil data during the ice-snow water infiltration process. Therefore, in the determination of the ice-snow water permeability coefficient, only discrete data can be obtained, and it is difficult to complete the tracking analysis of the ice-snow water permeability coefficient at different time nodes, resulting in insufficient analysis accuracy of the ice-snow water permeability coefficient.

[0023] To solve the problems existing in the prior art, as Figure 1 shown, the following is a flowchart of a detection method for the ice-snow water infiltration system of the root-soil complex provided by an embodiment of the present application. Specifically: S110. Obtain a root-soil complex sample and place it in a sample bucket.

[0024] S120. Set the environmental temperature of the sample bucket to obtain the temperature environment of the soil for the test.

[0025] S130. Obtain soil data of the soil for the test based on sensors.

[0026] S140. Obtain the ice-snow water permeability coefficient of the root-soil complex sample based on the soil data.

[0027] The purpose of all the above steps is to accurately and real-time obtain the ice-snow water permeability coefficient by constructing the setting between the soil for the test and the ice-snow layer to simulate the real environment, setting the environmental temperature, and based on the sensors set, and the obtained soil data, in the detection of the ice-snow water permeability coefficient of the root-soil complex.

[0028] Next, all the technical features in the above steps will be described separately. Specifically: As described in step S110, the purpose of this step is to set the soil for the test and the ice-snow layer according to the real situation in the detection of the ice-snow water permeability coefficient of the root-soil complex, and then a simulation environment can be established based on this setting scheme. Specifically: Set a filter layer in the sample bucket, and the filter layer is composed of permeable stone and filter paper; Set the soil for the test on the filter layer; Set an ice-snow layer on the soil for the test.

[0029] Among them, for the test soil, it is necessary to ensure that it can cover the uppermost opening of the paired openings of the sample bucket, so that all sensors can penetrate into the test soil.

[0030] Among them, for the set ice and snow layer, it can be set based on the common ice and snow layer depth in this area to better conform to the existing situation of the local ice and snow layer.

[0031] Among them, for the filter layer, it can isolate the test soil in the sample bucket, and the generated ice and snow water can be discharged from the sample bucket.

[0032] As described in step S120, the purpose of this step is to configure the environment where the test soil is located based on the common temperature in this area, so as to determine the specific determination of the ice and snow water permeability coefficient under the condition of simulating the local temperature environment. Specifically: Based on the walk-in incubator, adjust the internal temperature of the sample bucket, and the internal temperature of the sample bucket is the ambient temperature; Based on the heat preservation layer of the sample bucket, maintain the ambient temperature; The ambient temperature is obtained based on the ambient temperature of the test soil in its natural state.

[0033] Among them, based on the walk-in incubator, directly determine the ambient temperature where the sample bucket is located, so as to obtain the ambient temperature of the test soil in the sample bucket.

[0034] Among them, a heat preservation layer is arranged outside the sample bucket. Based on this heat preservation layer, the ambient temperature where the test soil is located can be maintained, so that the temperature environment of the test soil can be maintained.

[0035] Among them, for the set ambient temperature, the ambient temperature of the soil in this area can be determined according to the location where the test soil is located, so as to realize the simulation of the ambient temperature of the test soil.

[0036] As described in step S130, the purpose of this step is to obtain the soil data during the test, and then the ice and snow water permeability coefficient can be calculated according to this soil data. Specifically: Set multiple pairs of sensors from top to bottom in the test soil, and obtain multiple groups of soil data based on the multiple pairs of sensors; Send the multiple groups of soil data to the data collector; The data collector sends the multiple groups of soil data to the workstation to obtain the ice and snow water permeability coefficient; The paired sensors include a matric suction sensor and a water and heat sensor; The soil data includes the matric suction, moisture and soil temperature of the test soil.

[0037] Among them, for the paired sensors, they are directly inserted into the sensor insertion holes of the sample bucket, so as to measure the parameters of the test soil in the sample bucket and obtain soil data.

[0038] Among them, each pair of sensors includes a matric suction sensor and a water-heat sensor, and these two types of sensors can be used to obtain soil data.

[0039] Among them, for the paired sensors, they should be arranged in the test soil in the order from top to bottom, so that the soil data generated in the test soil at different depths can be obtained, and then the snow and ice water infiltration coefficients at different depths can be calculated.

[0040] Among them, the obtained soil data is directly sent to the data collector. The data collector can obtain the soil data of the paired sensors at different depths, and then calculate the snow and ice water infiltration coefficients at different depths based on this data.

[0041] Among them, the data collector also needs to establish the corresponding relationship between the soil data and the depth of the test soil.

[0042] Among them, the data collector also sends the generated soil data to the workstation, and the workstation obtains the snow and ice water infiltration coefficients of the test soil at different depths.

[0043] As described in step S140, the purpose of this step is to calculate the snow and ice water infiltration coefficients at different depths based on the obtained equation after obtaining the soil data, so as to determine the infiltration coefficient. Specifically: Based on the soil data and the snow and ice water infiltration coefficient equation, the snow and ice water infiltration coefficient is obtained. The snow and ice water infiltration coefficient equation is: ; Among them, represents the snow and ice water infiltration coefficient when the water content of the test soil is unsaturated; A represents the change rate of the water content of the test soil with time; B represents the change rate of the matric suction of the test soil with depth; C represents the change rate of the water content of the test soil with depth; represents the saturated infiltration coefficient of the test soil; represents the saturated water content of the test soil.

[0044] Among them, for the above equation, its specific determination process is: In the set sensor insertion holes, multiple rows of insertion holes can be set. Taking 4 rows of paired sensors as an example, there are 4 snow and ice water infiltration coefficients, which are respectively: 、 、 and 。

[0045] Among them, for the ice and snow water permeability coefficient, its determination equation is: ; Among them, represents the soil moisture content; represents the change rate of soil moisture content with time; z represents the soil depth; h represents the matric suction, represents the change rate of matric suction with depth.

[0046] Among them, from the start to the end of the ice and snow melting, by applying the change value of the moisture content of the unit body monitored by the soil column, the change value of the matric suction, and the melting time t, and can be obtained. In a test unit within a certain time period, = constant A, = constant B. At this time, equation (1) becomes: ; Among them, can be expressed as . According to the test, within the test time period in a test unit body, = constant C. At this time, equation (2) becomes: ; Integrate equation (3) for derivation and calculation, and at the same time consider the boundary conditions: when the soil is saturated, that is, when the soil moisture content = saturated moisture content , (saturated permeability coefficient). According to the above derivation, the change rate of moisture content with time is constant A, the change rate of matric suction with depth is constant B, and the change rate of moisture content with depth is constant C. The analytical expression of the unsaturated permeability coefficient is in a linear form, and the equation is obtained: ; In the formula: A, B, C, KS, , can be obtained through tests, is the average moisture content of the test unit body. Therefore, the smaller the size of the test unit body is, the easier it is to obtain accurate results.

[0047] Regarding the obtained equation (4), it is the calculation equation of the ice and snow water permeability coefficient in this application.

[0048] In addition, the present application also discloses a detection system for the ice-snow-water permeability coefficient of a root-soil complex, as Figure 2 shown, which is a schematic diagram of a detection system for the ice-snow-water permeability coefficient of a root-soil complex provided by an embodiment of the present application. The detection system includes: a walk-in constant temperature chamber, a specimen bucket, a filter layer, a base, a drainage device, a pair of configured sensors, and an intelligent monitoring system; The specimen bucket and the walk-in constant temperature chamber are placed on the base, which is used to support the specimen bucket and the walk-in constant temperature chamber; The specimen bucket is arranged inside the walk-in constant temperature chamber, which is used to maintain the environmental temperature of the space where the specimen bucket is located; A filter layer is arranged inside the specimen bucket, and test soil and an ice-snow layer are arranged, which is used to obtain an ice-snow-water infiltration sample; The pair of configured sensors are also arranged inside the specimen bucket, and the pair of configured sensors are used to obtain soil data of the test soil; The pair of configured sensors are connected to the intelligent monitoring system, and the intelligent monitoring system is used to obtain the ice-snow-water permeability coefficient of the root-soil complex; The specimen bucket is also connected to the drainage device, and the drainage device is used to obtain the volume of water discharged from the test soil.

[0049] In addition, a heat preservation layer is also arranged outside the walk-in constant temperature chamber, so that by using this heat preservation layer structure, the internal environmental temperature of the walk-in constant temperature chamber can be ensured to remain stable under the action of the heat preservation layer.

[0050] Among them, for the configured structures such as sensors and filter layers, they are configured according to the above description. At the same time, for the covering depth of the test soil and the setting scheme of the ice-snow layer, it is necessary to ensure that all sensors can be buried and covered by the test soil layer.

[0051] The filter layer includes: permeable stones and filter paper; The permeable stones are arranged under the filter paper layer, and the filter paper is used to prevent the test soil from entering the space of the permeable stones; The permeable stones are used to discharge the ice-snow water infiltrated by the test soil; It also includes: The test soil is arranged on the filter layer, and the ice-snow layer is arranged on the test soil.

[0052] Among them, for the setting work of the filter layer, it is necessary to ensure that the permeable stones are at the bottom layer of the specimen bucket, and the filter paper is arranged on the permeable stone layer to realize the support of the test soil and prevent the test soil from flowing out through the drainage holes.

[0053] The specimen bucket, as Figure 3 and Figure 4As shown, they are respectively the top view and the front view of a sample bucket of a detection system for the ice-snow-water permeability coefficient of a root-soil complex provided by an embodiment of the present application, including: Sensor insertion holes are arranged in pairs within the test soil area for arranging the paired sensors. Fixing holes are also provided on the sample bucket, and the fixing holes are used for fixedly connecting with the base. Drainage holes are also provided on the sample bucket, and the drainage holes are used for discharging the ice-snow-water permeated by the test soil from the sample bucket.

[0054] Among them, sensor insertion holes need to be arranged in pairs and in an up-and-down arrangement scheme within the sample bucket, so as to facilitate the paired arrangement of sensors to be inserted into the sample bucket, thereby obtaining soil data at different depths.

[0055] Among them, fixing holes connected to the fixed base are also provided for fixedly connecting the sample bucket and the base. For the structure of the base, as Figure 5 shown, it is a schematic structural diagram of the base of a detection system for the ice-snow-water permeability coefficient of a root-soil complex provided by an embodiment of the present application. The base is composed of a nut, a bracket, and a tray. The base is used for placing the sample bucket, and both the sample bucket and the base are placed in a walk-in constant temperature chamber.

[0056] The intelligent monitoring system includes: a data collector and a workstation; The data collector is connected to the paired sensors for obtaining the soil data of the test soil; The workstation is connected to the data collector for obtaining the ice-snow-water permeability coefficient of the root-soil complex based on the soil data of the test soil.

[0057] Among them, the data collector also establishes an association relationship between the depth of the test soil and the soil data obtained by the paired sensors, thereby laying a foundation for the subsequent calculation process of the ice-snow-water permeability coefficient.

[0058] In some embodiments, the intelligent monitoring system includes 4 matrix suction sensors, 4 hydrothermal sensors, wires, a data collector, and a workstation. The sensors divide the experimental soil layer into 6 layers. Each soil layer sandwiched between every two sensors in the vertical direction is a test unit body, and there are a total of four test unit bodies. That is to say, the sensors and the wires to be used are also regarded as part of the intelligent monitoring system.

[0059] The drainage device includes: a hose and a water collector; One end of the hose is connected to the drainage hole of the sample bucket for leading out the ice-snow-water of the test soil from the sample bucket; The other end of the hose is connected to the water collector, and the water collector is used for storing the ice-snow-water of the test soil discharged from the sample bucket. A scale is provided on the hose for measuring the volume of ice and snow water of the test soil discharged from the sample bucket.

[0060] Wherein, the drainage device includes a hose with a scale and a water collector. One end of the hose is connected to the drainage port, and the other end is connected to the water collector. Based on this structure, the permeated water discharged from the test soil can be collected, and the volume of the discharged water body can be obtained.

[0061] The present application has the following beneficial effects: 1. Improve the rationality of sample collection. In the technical solution of the present application, a relatively large soil column size can be supported, overcoming the influence between the acquisition ranges of sensors. In addition, for the samples used, in the setting of the ice and snow layer, it can also be set based on actual requirements, thus fully broadening the setting requirement range for samples and improving the rationality of sample collection.

[0062] 2. Improve the accuracy of data collection. In the technical solution of the present application, by using the soil column between sensors at different levels as the sample unit, the uncertainty of using the test range of a single sensor as the test unit is overcome. At the same time, the sensors are arranged in groups to achieve simultaneous collection of different types of data, and based on multiple data, the calculation accuracy of the permeability coefficient is improved.

[0063] 3. Improve the test efficiency. By using a walk-in incubator to achieve rapid heating and cooling of the environment, the experimental time can be saved and the influence of the experimental environment temperature on the experimental results can be eliminated.

[0064] 4. Improve the calculation rationality. The analytical expression of the unsaturated permeability coefficient derived by oneself is used for calculation, which not only improves the result accuracy but also improves the test efficiency.

[0065] 5. Realize automatic detection. Through the combined application of a workstation, a walk-in incubator, a hydrothermal sensor, a matrix suction sensor, and a data acquisition device, a highly automated function for controlling the test environment and collecting data for the permeability coefficient test is realized.

[0066] Those of ordinary skill in the art will understand that all or part of the steps to implement the above method embodiments can be completed by hardware related to computer program instructions. The aforementioned computer program can be stored in a non-volatile storage medium. When the computer program is executed, it performs the steps including those of the above method embodiments. Alternatively, if the above integrated units of the present invention are implemented in the form of software function modules and sold or used as independent products, they can also be stored in a non-volatile storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a non-volatile storage medium and includes several instructions for causing an electronic device (which can be a personal computer, a server, a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention.

[0067] As described above, the above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention.

Claims

1. A method for detecting the ice-snow-water permeability coefficient of a root-soil complex, characterized in that, The detection method includes: Obtain a root-soil complex sample and place it in a sample barrel; Set the environmental temperature of the sample barrel to obtain the temperature environment of the test soil; Obtain the soil data of the test soil based on sensors; Based on the soil data, obtain the snow and ice water infiltration coefficient of the root-soil complex sample.

2. The method for detecting the ice, snow and water permeability coefficient of the root-soil complex according to claim 1, characterized in that, The step of obtaining a root-soil complex sample and placing it in a sample barrel includes: Set a filter layer in the sample barrel, and the filter layer is composed of permeable stone and filter paper; Set the test soil on the filter layer; Set a snow and ice layer on the test soil.

3. The method for detecting the ice, snow and water permeability coefficient of the root-soil complex according to claim 1, characterized in that The step of setting the environmental temperature of the sample barrel to obtain the temperature environment of the test soil includes: Based on a walk-in incubator, adjust the internal temperature of the sample barrel, and the internal temperature of the sample barrel is the environmental temperature; Based on the heat preservation layer of the sample barrel, maintain the environmental temperature; The environmental temperature is obtained based on the environmental temperature of the test soil in its natural state.

4. The method for detecting the ice, snow and water permeability coefficient of the root-soil complex according to claim 1, characterized in that, The step of obtaining the soil data of the test soil based on sensors includes: Set multiple pairs of sensors in the test soil from top to bottom, and obtain multiple sets of soil data based on the multiple pairs of sensors; Send the multiple sets of soil data to a data collector; The data collector sends the multiple sets of soil data to a workstation to obtain the snow and ice water infiltration coefficient; The paired sensors include a matric suction sensor and a water and heat sensor; The soil data includes the matric suction, moisture, and soil temperature of the test soil.

5. The method for detecting the ice-snow water permeability coefficient of the root-soil complex according to claim 1, characterized in that, The step of obtaining the snow and ice water infiltration coefficient of the root-soil complex sample based on the soil data includes: Based on the soil data and the snow and ice water infiltration coefficient equation, obtain the snow and ice water infiltration coefficient, and the snow and ice water infiltration coefficient equation is: ； Among them, represents the ice and snow water permeability coefficient when the water content of the test soil is unsaturated; A represents the change rate of the water content of the test soil with time; B represents the change rate of the matric suction of the test soil with depth; C represents the change rate of the water content of the test soil with depth; represents the saturated permeability coefficient of the test soil; represents the saturated water content of the test soil.

6. A detection system for the ice-snow-water permeability coefficient of a root-soil complex, which is used to execute the detection method for the ice-snow-water permeability coefficient of the root-soil complex according to any one of claims 1 to 5, characterized in that, The detection system includes: a walk-in incubator, a sample barrel, a filter layer, a base, a drainage device, paired sensors, and an intelligent monitoring system; Place the sample barrel and the walk-in incubator on the base to support the sample barrel and the walk-in incubator; Set the sample barrel in the walk-in incubator to maintain the environmental temperature of the space where the sample barrel is located; Set a filter layer in the sample barrel, and set the test soil and the snow and ice layer to obtain a snow and ice water infiltration sample; Also set the paired sensors in the sample barrel, and the paired sensors are used to obtain the soil data of the test soil; The paired sensors are connected to the intelligent monitoring system, and the intelligent monitoring system is used to obtain the snow and ice water infiltration coefficient of the root-soil complex; The sample barrel is also connected to the drainage device, and the drainage device is used to obtain the volume of water discharged from the test soil.

7. The root-soil complex ice-snow-water permeability coefficient detection system according to claim 6, characterized in that The filter layer includes: permeable stone and filter paper; The permeable stone is arranged under the filter paper, and the filter paper is used to prevent the test soil from entering the space of the permeable stone; The permeable stone is used to discharge the snow and ice water infiltrated by the test soil; Also included: Set the test soil on the filter layer, and set the snow and ice layer on the test soil.

8. The root-soil complex ice and snow water permeability coefficient detection system according to claim 6, characterized in that, The sample barrel includes: Sensor insertion holes are arranged in pairs in the test soil area for setting the paired sensors; A fixing hole is further provided on the sample bucket, and the fixing hole is used for fixedly connecting with the base; A drain hole is further provided on the sample bucket, and the drain hole is used for discharging the ice and snow water permeated by the test soil from the sample bucket.

9. The root-soil complex ice-snow-water permeability coefficient detection system according to claim 6, characterized in that The intelligent monitoring system includes: a data collector and a workstation; The data collector is connected to the paired configuration sensors and is used for acquiring the soil data of the test soil; The workstation is connected to the data collector and is used for acquiring the ice and snow water permeability coefficient of the root-soil complex based on the soil data of the test soil.

10. The root-soil complex ice and snow water permeability coefficient detection system according to claim 6, characterized in that, The drainage device includes: a hose and a water collector; One end of the hose is connected to the drain hole of the sample bucket and is used for leading out the ice and snow water of the test soil from the sample bucket; The other end of the hose is connected to the water collector, and the water collector is used for storing the ice and snow water of the test soil discharged from the sample bucket; A scale is provided on the hose and is used for measuring the volume of the ice and snow water of the test soil discharged from the sample bucket.

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