Soil data analysis system for waste salt pan reclamation area monitoring

Abstract

The invention relates to the technical field of soil data analysis, in particular to a soil data analysis system for waste salt pan reclamation area monitoring. The system comprises a result analysis model simulation module and a sampling item rule processing module. A result analysis model simulation module is combined with monitoring data, a monitoring data analysis model is established, a sampling project change simulation diagram of a to-be-monitored area of a waste salt pan reclamation area is obtained, and a sampling project rule processing module is combined with the sampling project change simulation diagram to obtain a sampling project rule. The change rule of each sampling item in the to-be-monitored area of the waste salt pan reclamation area is obtained, the monitoring area is separated, zoning positioning monitoring processing is carried out, the accuracy of monitoring data is improved, the soil data change rule of the to-be-monitored area is finely simulated, and a reference basis is provided for later targeted processing.

Description

Technical Field

[0001] The invention relates to the technical field of soil data analysis, and in particular to a soil data analysis system for monitoring abandoned salt pan reclamation areas. Background Art

[0002] Abandoned salt pan reclamation areas refer to salt pans that were once used for salt production but were abandoned due to various reasons (such as economic system transformation, resource depletion, etc.), and then transformed into areas that can be used for agriculture, ecology or other purposes through a series of engineering measures and technical means. This reclamation behavior can not only effectively utilize land resources, but also improve the ecological environment and promote local economic development.

[0003] Before reclaiming abandoned salt pans, it is necessary to collect soil data on the abandoned salt pans, such as the acidity and alkalinity of the soil and the degree of fertility, etc. These will serve as a reference for the subsequent reclamation treatment. By analyzing the changing status of soil data in different regions, corresponding response strategies can be formulated for centralized reclamation treatment.

[0004] Traditional soil data monitoring for abandoned salt pan reclamation areas is mainly carried out through random sampling, that is, using sampling equipment to randomly extract samples in the monitored area, and after subsequent monitoring and analysis, predicting the soil monitoring results of the current area. However, due to the different environmental conditions in different monitored areas, the random sampling method is prone to monitoring errors. This is due to the different geomorphic environments of the monitoring areas. Due to the different terrain heights in some areas, the monitored objects are gathered in low-lying areas. For example, the salt content of the soil will have a larger concentration than that in the raised areas. Due to the random sampling location, if the collected results are not analyzed in advance and the data that affects the monitoring result errors are eliminated, the subsequent monitoring results will not be able to accurately describe the actual situation of the abandoned salt pan reclamation area, affecting the subsequent processing work.

[0005] In order to address the above problems, there is an urgent need for a soil data analysis system for monitoring abandoned salt pan reclamation areas. Summary of the invention

[0006] The purpose of the present invention is to provide a soil data analysis system for monitoring abandoned salt pan reclamation areas to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above purpose, a soil data analysis system for monitoring abandoned salt pan reclamation areas is provided, including a reclamation area sampling platform, a sampling result preprocessing module, a result analysis model simulation module, a sampling item rule processing module, and a monitoring data summary output module; The reclamation area sampling platform is used to obtain the location of the area to be monitored in the abandoned salt pan reclamation area, and to deploy sampling equipment for sampling. The sampling equipment is located by the configured positioning equipment to obtain the monitoring data of each sampling item; The sampling result preprocessing module removes the monitoring data of the monitoring area where the environment is deviated in combination with the environmental status of the location of the monitored area in the abandoned salt pan reclamation area; The result analysis model simulation module is used to establish a monitoring data analysis model in combination with monitoring data, and obtain a simulation diagram of sampling item changes in the area to be monitored in the abandoned salt pan reclamation area; The sampling item rule processing module combines the sampling item change simulation diagram to obtain the change rule of each sampling item in the abandoned salt pan reclamation area to be monitored; The monitoring data summary output module summarizes the sampling item change simulation diagram and the change rules of each sampling item, and outputs them in an integrated manner.

[0008] As a further improvement of the technical solution, the reclamation area sampling platform includes a sampling area division module and a reclamation area positioning sampling module; The sampling area division module captures the location of the area to be monitored through a satellite positioning system, generates a simulation map of the area to be monitored, and performs regional division according to the simulation map of the area to be monitored; The reclamation area positioning sampling module combines the divided simulated map of the monitored area to perform sampling positioning simulation, obtain the actual sampling path of the sampling equipment, deploy the sampling equipment according to the sampling path, and configure the positioning equipment to actually locate the position of each sampling equipment as an identification mark to distinguish the sampled samples.

[0009] As a further improvement of the technical solution, the sampling items in the reclamation area sampling platform include soil salinization degree, soil fertility degree and soil water content; Wherein, the soil salinization degree refers to the soil salt content of the abandoned salt pan; The soil fertility level refers to the nutrients contained in the soil of the abandoned salt pan; The soil water content refers to the water content contained in the soil of the abandoned salt pan.

[0010] As a further improvement of the technical solution, the method for obtaining the actual sampling path of the sampling device in the reclamation area positioning sampling module comprises the following steps: S1. According to the positioning information provided by the satellite positioning system, obtain the reduction ratio between the simulated map of the area to be monitored and the actual area to be monitored; S2. Combine the sampling scope of the sampling equipment and formulate the unit sampling equipment quantity. , according to the unit sampling equipment quantity Divide the unit monitoring area in the simulation map of the area to be monitored , locate the location of each sampling device in the actual area to be monitored according to the reduction ratio; S3. Acquire the actual sampling path of the sampling device according to the location of each sampling device in the actual monitored area.

[0011] As a further improvement of the technical solution, the method for establishing a monitoring data analysis model in the result analysis model simulation module comprises the following steps: S10. Collect data from each unit’s monitoring area The sample data of the corresponding sampling equipment is used to obtain the soil salinization degree, soil fertility degree and soil water content in the corresponding unit monitoring area. The value of S20. Use regionalized stratified marking to distinguish the values ​​of different sampling items; S30, follow the sampling route to conduct unit monitoring area Fill, which represents the unit monitoring area by filling the area The values ​​of different sampling items.

[0012] As a further improvement of this technical solution, the S10 collects the monitoring areas of each unit The method for sampling the sample data of the corresponding sampling device comprises the following steps: S11. Obtain monitoring area of ​​constituent units Unit sampling equipment quantity within ; S12. Combine the geographical environment factors of the monitored area to formulate the numerical difference threshold of the sampling items ; S13. Obtain unit monitoring area The values ​​of the same sampling items obtained by different sampling devices are calculated, and the difference between the values ​​obtained by the two sampling devices is calculated. ; S14, comparison of numerical differences Difference threshold with sampled item value ; When the same unit monitors the area The difference between the comparison values ​​of two sampling devices for the same sampling item ≤ Sampling item value difference threshold When , the corresponding two values ​​are marked as normal statistical values; When the same unit monitors the area The difference between the comparison values ​​of two sampling devices for the same sampling item > Sampling item value difference threshold When , it is marked as a value to be eliminated, and the difference between the above two values ​​to be eliminated and the marked normal statistical value is compared as a secondary difference; When the secondary difference is less than or equal to the sampling item value difference threshold When , the compared value to be eliminated is marked as a normal statistical value; When the secondary difference value is greater than the sampling item value difference threshold When , it is marked as a discarded value; S15. Get unit monitoring area The final normal statistical values ​​for the same sampling items within the unit monitoring area are averaged as the current unit monitoring area. Simulated values ​​of sampled items.

[0013] As a further improvement of the technical solution, the method for obtaining the change rules of various sampling items in the abandoned salt pan reclamation area to be monitored in the sampling item rule processing module includes the following steps: S100, obtaining changes in each filling area in different sampling paths; S200, predicting the change trend of each sampling path for different sampling items according to the change of the filling area; S300, obtaining an evolution model of the entire area to be monitored according to the change trend.

[0014] Compared with the prior art, the present invention has the following beneficial effects: In the soil data analysis system for monitoring abandoned salt pan reclamation areas, a monitoring data analysis model is established through the combination of the result analysis model simulation module and the monitoring data, and a sampling item change simulation diagram of the abandoned salt pan reclamation area to be monitored is obtained. The sampling item rule processing module is combined with the sampling item change simulation diagram to obtain the change rules of various sampling items in the abandoned salt pan reclamation area to be monitored, separate the monitoring areas, conduct zoned positioning monitoring and processing, pre-process the monitoring data, eliminate the data that affects the monitoring results, broadly reflect the actual monitoring situation of the entire monitoring location, improve the accuracy of the monitoring data, and finely simulate the soil data change rules of the area to be monitored, providing a reference basis for later targeted processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is the overall system structure block diagram of the present invention; Figure 2 A simulation diagram of the positioning of the sampling device of the present invention; Figure 3 This is a simplified simulation diagram of soil salinization of the present invention; Figure 4 It is a soil fertility single simulation diagram of the present invention; Figure 5 This is a soil water simplification simulation diagram of the present invention; Figure 6 The whole simulation diagram of the sampling project of the present invention; Figure 7 A flow chart of a method for obtaining an actual sampling path of a sampling device according to the present invention; Figure 8 A flow chart of the method for establishing a monitoring data analysis model of the present invention; Fig. 9 A flow chart of a method for collecting sample data of sampling devices corresponding to each unit monitoring area of ​​the present invention; Fig.10 The present invention is a flow chart of a method for obtaining the changing rules of various sampling items in the area to be monitored in the abandoned salt pan reclamation area.

[0016] The meaning of each number in the figure is: 10. Sampling site area division module; 20. Reclamation area positioning sampling module; 30. Sampling result preprocessing module; 40. Result analysis model simulation module; 50. Sampling item regularity processing module; 60. Monitoring data summary output module. DETAILED DESCRIPTION

[0017] The following will be combined with the accompanying drawings in the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 As shown, a soil data analysis system for monitoring abandoned salt pan reclamation areas is provided, including a reclamation area sampling platform, a sampling result preprocessing module 30, a result analysis model simulation module 40, a sampling item rule processing module 50 and a monitoring data summary output module 60; The reclamation area sampling platform is used to obtain the location of the area to be monitored in the abandoned salt pan reclamation area, and to deploy sampling equipment for sampling. The sampling equipment is located by the configured positioning equipment to obtain the monitoring data of each sampling item; The sampling result preprocessing module 30 removes the monitoring data of the monitoring area where the environment is deviated in combination with the environmental status of the location of the monitoring area in the abandoned salt pan reclamation area; The result analysis model simulation module 40 is used to combine the monitoring data, establish a monitoring data analysis model, and obtain a simulation diagram of the sampling project changes in the area to be monitored in the abandoned salt pan reclamation area; The sampling item rule processing module 50 combines the sampling item change simulation diagram to obtain the change rule of each sampling item in the monitoring area of ​​the abandoned salt pan reclamation area; The monitoring data summary output module 60 summarizes the sampling item change simulation diagram and the change rules of each sampling item, and outputs them in an integrated manner.

[0019] When used specifically, during the early monitoring and analysis of abandoned salt pan reclamation, due to the different locations of the monitored areas, it is necessary to obtain the location of the monitored area in the abandoned salt pan reclamation area through the reclamation area sampling platform in advance, and deploy sampling equipment for sampling. The sampling equipment is located through the configured positioning equipment to obtain the monitoring data of each sampling item, such as salinity; After completing the collection of monitoring data, due to the environmental differences in the location of the monitored area in the abandoned salt pan reclamation area, for example, a certain area is sunken or convex, which will cause the monitoring data of its sampling items to be greatly different from other areas. It is worth noting that the major difference pointed out here is beyond the range of variation of the flat area, that is, in the historical sampling process, the sampling results in the flat area are used to obtain the sampling data variation range in the area. In order to avoid the above situation and improve the accuracy of the later monitoring data, the sampling result preprocessing module 30 is combined with the environmental status of the location of the monitored area in the abandoned salt pan reclamation area to eliminate the monitoring data of the monitoring area where the environment has deviations; In order to further intuitively obtain the changes in monitoring data of the monitored area in the abandoned salt pan reclamation area, the monitoring data analysis model is established through the result analysis model simulation module 40 in combination with the monitoring data, and a sampling item change simulation diagram of the monitored area in the abandoned salt pan reclamation area is obtained. The sampling item rule processing module 50 combines the sampling item change simulation diagram to obtain the change rules of various sampling items in the monitored area in the abandoned salt pan reclamation area, such as determining the state of water loss and locating the source of loss. Finally, the sampling item change simulation diagram and the change rules of various sampling items are summarized and outputted by the monitoring data summary output module 60, thereby avoiding the influence of irrelevant environmental factors on the monitoring data, improving the accuracy of the monitoring data, and finely simulating the change rules of soil data in the monitored area, providing a reference basis for targeted processing in the later stage.

[0020] In addition, the reclamation area sampling platform includes a sampling area division module 10 and a reclamation area positioning sampling module 20; The sampling area division module 10 captures the location of the area to be monitored through a satellite positioning system, generates a simulation map of the area to be monitored, and performs regional division according to the simulation map of the area to be monitored; The reclamation area positioning sampling module 20 performs sampling positioning simulation in combination with the divided simulated map of the monitored area, obtains the actual sampling path of the sampling equipment, deploys the sampling equipment according to the sampling path, and configures the positioning equipment to actually locate the position of each sampling equipment as an identification mark to distinguish the sampled samples.

[0021] Furthermore, the sampling items in the sampling platform of the reclamation area include soil salinization degree, soil fertility degree and soil water content; Among them, the degree of soil salinization refers to the salt content of the soil in the abandoned salt pan, which can be monitored by multispectral remote sensing methods. Multispectral remote sensing data has multiple bands, and soils with different salinity levels have different spectral characteristics. For example, salinized soils usually have higher reflectivity in the visible and near-infrared bands. By analyzing the data in these bands, indicators related to soil salinization can be extracted, such as the normalized vegetation index, salt index, etc. Soil fertility refers to the nutrients contained in the soil of abandoned salt pans, including organic matter content, available phosphorus content, total nitrogen content, cation exchange capacity, and trace elements; The soil water content is the water content of the soil in the abandoned salt pan.

[0022] Furthermore, if Figure 7 As shown, the method for obtaining the actual sampling path of the sampling device in the reclamation area positioning sampling module 20 includes the following steps: S1. According to the positioning information provided by the satellite positioning system, obtain the reduction ratio between the simulated map of the area to be monitored and the actual area to be monitored; S2. Combine the sampling scope of the sampling equipment and formulate the unit sampling equipment quantity. , according to the unit sampling equipment quantity Divide the unit monitoring area in the simulation map of the area to be monitored , locate the location of each sampling device in the actual area to be monitored according to the reduction ratio; S3. Acquire the actual sampling path of the sampling device according to the location of each sampling device in the actual monitored area.

[0023] When used specifically, in the process of positioning the area to be monitored, in order to improve the positioning accuracy of the monitoring area, the sampling area division module 10 captures the location of the area to be monitored through the satellite positioning system, generates a simulation map of the area to be monitored, and performs regional division according to the simulation map of the area to be monitored, that is, according to the positioning information provided by the satellite positioning system, obtains the reduced ratio of the simulation map of the area to be monitored and the actual area to be monitored, divides the area in the simulation map of the area to be monitored, and then determines the actual division area of ​​the area to be monitored by proportional conversion; After completing the positioning work of the simulated map of the monitored area, in order to avoid the overlap of the sampling range of the sampling equipment and affect the sampling effect of the sampling equipment, it is necessary to use the reclamation area positioning sampling module 20 in combination with the divided simulated map of the monitored area to perform sampling positioning simulation, that is, the area range that the sampling equipment can represent after obtaining the sample. Therefore, in order to match the sampling equipment, the simulated map of the monitored area is divided, and the unit sampling equipment quantity is formulated. , according to the unit sampling equipment quantity Divide the unit monitoring area in the simulation map of the area to be monitored , according to the reduction ratio, locate the location of each sampling device in the actual monitored area. For example, the sampling range of the sampling device is , corresponding to the unit sampling equipment quantity is 10, and the final unit monitoring area is The range is 10 At this time, the entire monitoring area needs to be divided into multiple ranges of 10 The monitoring area is obtained to obtain the actual sampling path of the sampling equipment, such as Figure 2 As shown, , , , , , , , , , as well as The unit monitoring area after division , each unit monitoring area It consists of 4 sampling devices, and its coverage is just enough to cover the entire unit monitoring area , and form 4 sampling paths, namely - - , - - , - - as well as - - , where the blank area N is the unsampled area, i.e., the location of each sampling device; Finally, the sampling equipment is deployed according to the sampling path, and the positioning equipment is configured to actually locate the position of each sampling equipment as an identification mark to distinguish the sampled samples.

[0024] Specifically, Figure 8 As shown, the method for establishing a monitoring data analysis model in the result analysis model simulation module 40 includes the following steps: S10. Collect data from each unit’s monitoring area The sample data of the corresponding sampling equipment is used to obtain the soil salinization degree, soil fertility degree and soil water content in the corresponding unit monitoring area. The value of S20. Use regionalized stratified marking to distinguish the values ​​of different sampling items; S30, follow the sampling route to conduct unit monitoring area Fill, which represents the unit monitoring area by filling the area The values ​​of different sampling items.

[0025] In addition, if Fig. 9 As shown, in S10, each unit monitoring area is collected The method for sampling the sample data of the corresponding sampling device comprises the following steps: S11. Obtain monitoring area of ​​constituent units Unit sampling equipment quantity within ; S12. Combine the geographical environment factors of the monitored area to formulate the numerical difference threshold of the sampling items ; S13. Obtain unit monitoring area The values ​​of the same sampling items obtained by different sampling devices are calculated, and the difference between the values ​​obtained by the two sampling devices is calculated. ; S14, comparison of numerical differences Difference threshold with sampled item value ; When the same unit monitors the area The difference between the comparison values ​​of two sampling devices for the same sampling item ≤ Sampling item value difference threshold When , the corresponding two values ​​are marked as normal statistical values; When the same unit monitors the area The difference between the comparison values ​​of two sampling devices for the same sampling item > Sampling item value difference threshold When , it is marked as a value to be eliminated, and the difference between the above two values ​​to be eliminated and the marked normal statistical value is compared as a secondary difference; When the secondary difference is less than or equal to the sampling item value difference threshold When , the compared value to be eliminated is marked as a normal statistical value; When the secondary difference value is greater than the sampling item value difference threshold When , it is marked as a discarded value; S15. Get unit monitoring area The final normal statistical values ​​for the same sampling items within the unit monitoring area are averaged as the current unit monitoring area. Simulated values ​​of sampled items.

[0026] Further, such as Fig.10 As shown, the method for obtaining the change rules of various sampling items in the abandoned salt pan reclamation area to be monitored in the sampling item rule processing module 50 includes the following steps: S100, obtaining changes in each filling area in different sampling paths; S200, predicting the change trend of each sampling path for different sampling items according to the change of the filling area; S300, obtaining an evolution model of the entire area to be monitored according to the change trend.

[0027] In specific use, when establishing a simulation map of the area to be monitored, since the area to be monitored consists of multiple monitoring areas, Each unit monitoring area Corresponding sampling equipment is also set up. In order to further intuitively obtain the numerical variation law of each sampling item as a basis for subsequent targeted processing, it is necessary to establish a monitoring data analysis model. First, collect the data of each unit monitoring area. The sample data of the corresponding sampling equipment is used to obtain the soil salinization degree, soil fertility degree and soil water content in the corresponding unit monitoring area. The values ​​of the sampling items are divided into different levels and marked by regionalization, and the values ​​of different sampling items are distinguished. Finally, the unit monitoring area is divided according to the sampling path. Fill, which represents the unit monitoring area by filling the area The values ​​of different sampling items in Figure 3-6 As shown in the figure, three different bars are filled in each sampling path. As can be seen from the label in the upper right corner, the first bar represents the degree of soil salinization, the second bar represents the degree of soil fertility, and the third bar represents the soil water content. The corresponding bar area represents the unit monitoring area. The actual monitoring value of In the unit monitoring area In order to improve the accuracy of the actual monitoring values ​​and reduce the errors caused by irrelevant factors, it is necessary to obtain the monitoring area of ​​the constituent units. Unit sampling equipment quantity within , and combined with the geographical environment factors of the monitored area, formulate the numerical difference threshold of the sampling items , that is, for the unit monitoring area The difference between the two sampling devices for the same sampling item is within the normal range. Since the two sampling items are not far apart, if the difference between the two sampling items for the same sampling item exceeds the sampling item value difference threshold When , it means that the unit monitors the area There are deviations in the internal environment; It is worth noting that the monitoring area eliminated in the sampling result preprocessing module 30 is a monitoring area with a larger range, and the unit monitoring area The actual area is small, so it is not possible to select and eliminate them intuitively, and it needs to be processed through actual monitoring data; Therefore, in response to the above problems, in the specific simulation process, the unit monitoring area is obtained The values ​​of the same sampling items obtained by different sampling devices are calculated, and the difference between the values ​​obtained by the two sampling devices is calculated. , and compare the logarithmic difference Difference threshold with sampled item value ; When the same unit monitors the area The difference between the comparison values ​​of two sampling devices for the same sampling item ≤ Sampling item value difference threshold When , the corresponding two values ​​are marked as normal statistical values; When the same unit monitors the area The difference between the comparison values ​​of two sampling devices for the same sampling item > Sampling item value difference threshold When , it is marked as a value to be eliminated, and the difference between the above two values ​​to be eliminated and the marked normal statistical value is compared as a secondary difference; When the secondary difference is less than or equal to the sampling item value difference threshold When , the compared value to be eliminated is marked as a normal statistical value; When the secondary difference value is greater than the sampling item value difference threshold When , it is marked as a discarded value; It is worth noting that when the difference between the two pairs of values After the second comparison, the value difference threshold of the sampling item is still not met When, for example, Unit monitoring area There are four sampling devices in the , , as well as , after monitoring, The degree of soil salinization is , The degree of soil salinization is , The degree of soil salinization is , The degree of soil salinization is ,at this time and The numerical difference ,and ≤ Sampling item value difference threshold ,at the same time and The numerical difference , a second comparison is required to obtain and The numerical difference , if the corresponding numerical difference , then the soil salinization values ​​obtained by the four sampling devices are all normal statistical values, and their average values ​​are obtained later as the current unit monitoring area The final value of soil salinity is obtained; Another situation is when and The numerical difference ,and > Sampling item value difference threshold ,at the same time and The numerical difference , then it is necessary to compare the numerical differences in sequence, that is, to obtain and , and , and , and , and as well as and , and the corresponding numerical difference and Compare until the numerical difference is satisfied ≤ Sampling item value difference threshold , select the value corresponding to the corresponding sampling device as the normal statistical value.

[0028] Complete monitoring areas for each unit After the corresponding normal statistical values ​​are calculated, the corresponding normal statistical values ​​are simulated through the corresponding bar column area, such as Figure 3 As shown in the figure, the simulation is a single simulation diagram of soil salinization, in which the soil fertility and soil water content remain unchanged, such as Figure 4 As shown in the figure, the simulation is a single soil fertility simulation diagram, in which the soil salinization degree and soil water content remain unchanged, such as Figure 5 As shown in the figure, the simulation is a single soil water simulation diagram, in which the degree of soil salinization and soil fertility remain unchanged. Figure 6 A simulation diagram showing the changes of all sampling items; In summary, the final trend change model of the sampling items in the monitored area is formed, in which Figure 3-5 The dotted arrows in the figure represent the diffusion rules of each sampling item, such as Figure 3 , among which the law of soil salinization change in the current abandoned salt pan reclamation area is to spread from the central area to the outside, such as Figure 4As shown in Figure 2, the soil fertility in the current abandoned salt pan reclamation area is changing from the edge area to the central area. Figure 5 As shown, the variation pattern of soil water content in the current abandoned salt pan reclamation area is that the central area diffuses outward, which is the predicted variation trend of different sampling items in the current area.

[0029] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A soil data analysis system for monitoring abandoned salt pan reclamation areas, characterized by: It includes a reclamation area sampling platform, a sampling result preprocessing module (30), a result analysis model simulation module (40), a sampling item rule processing module (50) and a monitoring data summary output module (60); The reclamation area sampling platform is used to obtain the location of the area to be monitored in the abandoned salt pan reclamation area, and to deploy sampling equipment for sampling. The sampling equipment is located by the configured positioning equipment to obtain the monitoring data of each sampling item; The sampling result preprocessing module (30) removes monitoring data of monitoring areas where environmental deviations exist, based on the environmental status of the location of the area to be monitored in the abandoned salt pan reclamation area; The result analysis model simulation module (40) is used to establish a monitoring data analysis model in combination with monitoring data, and obtain a simulation diagram of sampling item changes in the area to be monitored in the abandoned salt pan reclamation area; The sampling item rule processing module (50) combines the sampling item change simulation diagram to obtain the change rule of each sampling item in the abandoned salt pan reclamation area to be monitored; The monitoring data summary output module (60) summarizes the sampling item change simulation diagram and the change rules of each sampling item, and outputs them in an integrated manner.

2. The soil data analysis system for monitoring abandoned salt pan reclamation areas according to claim 1 is characterized by: The reclamation area sampling platform comprises a sampling area division module (10) and a reclamation area positioning sampling module (20); The sampling area division module (10) captures the location of the area to be monitored through a satellite positioning system, generates a simulation map of the area to be monitored, and performs regional division according to the simulation map of the area to be monitored; The reclamation area positioning sampling module (20) performs sampling positioning simulation in combination with the divided simulated map of the area to be monitored, obtains the actual sampling path of the sampling equipment, arranges the sampling equipment according to the sampling path, and configures the positioning equipment to actually locate the position of each sampling equipment as an identification mark to distinguish the sampled samples.

3. The soil data analysis system for monitoring abandoned salt pan reclamation areas according to claim 2 is characterized by: The sampling items in the sampling platform of the reclamation area include soil salinization degree, soil fertility degree and soil water content; Wherein, the soil salinization degree refers to the soil salt content of the abandoned salt pan; The soil fertility level refers to the nutrients contained in the soil of the abandoned salt pan; The soil water content refers to the water content contained in the soil of the abandoned salt pan.

4. The soil data analysis system for monitoring abandoned salt pan reclamation areas according to claim 2 is characterized by: The method for obtaining the actual sampling path of the sampling equipment in the reclamation area positioning sampling module (20) comprises the following steps: S1. According to the positioning information provided by the satellite positioning system, obtain the reduction ratio between the simulated map of the area to be monitored and the actual area to be monitored; S2. Combine the sampling scope of the sampling equipment and formulate the unit sampling equipment quantity. , according to the unit sampling equipment quantity Divide the unit monitoring area in the simulation map of the area to be monitored , locate the location of each sampling device in the actual area to be monitored according to the reduction ratio; S3. Acquire the actual sampling path of the sampling device according to the location of each sampling device in the actual monitored area.

5. The soil data analysis system for monitoring abandoned salt pan reclamation areas according to claim 1 is characterized by: The method for establishing a monitoring data analysis model in the result analysis model simulation module (40) comprises the following steps: S10. Collect data from each unit’s monitoring area The sample data of the corresponding sampling equipment is used to obtain the soil salinization degree, soil fertility degree and soil water content in the corresponding unit monitoring area. The value of S20. Use regionalized stratified marking to distinguish the values ​​of different sampling items; S30, follow the sampling route to conduct unit monitoring area Fill, which represents the unit monitoring area by filling the area The values ​​of different sampling items.

6. The soil data analysis system for monitoring abandoned salt pan reclamation areas according to claim 5 is characterized by: In S10, each unit monitoring area is collected The method for sampling the sample data of the corresponding sampling device comprises the following steps: S11. Obtain monitoring area of ​​constituent units Unit sampling equipment quantity within ; S12. Combine the geographical environment factors of the monitored area to formulate the numerical difference threshold of the sampling items ; S13. Obtain unit monitoring area The values ​​of the same sampling items obtained by different sampling devices are calculated, and the difference between the values ​​obtained by the two sampling devices is calculated. ; S14, comparison of numerical differences Difference threshold with sampled item value ; When the same unit monitors the area The difference between the comparison values ​​of two sampling devices for the same sampling item ≤ Sampling item value difference threshold When , the corresponding two values ​​are marked as normal statistical values; When the same unit monitors the area The difference between the comparison values ​​of two sampling devices for the same sampling item > Sampling item value difference threshold When , it is marked as a value to be eliminated, and the difference between the above two values ​​to be eliminated and the marked normal statistical value is compared as a secondary difference; When the secondary difference is less than or equal to the sampling item value difference threshold When , the compared value to be eliminated is marked as a normal statistical value; When the secondary difference value is greater than the sampling item value difference threshold When , it is marked as a discarded value; S15. Get unit monitoring area The final normal statistical values ​​for the same sampling items within the unit monitoring area are averaged as the current unit monitoring area. Simulated values ​​of sampled items.

7. The soil data analysis system for monitoring abandoned salt pan reclamation areas according to claim 1 is characterized by: The method for obtaining the change rules of various sampling items in the abandoned salt pan reclamation area to be monitored in the sampling item rule processing module (50) comprises the following steps: S100, obtaining changes in each filling area in different sampling paths; S200, predicting the change trend of each sampling path for different sampling items according to the change of the filling area; S300, obtaining an evolution model of the entire area to be monitored according to the change trend.

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