Comprehensive evaluation method and system for treatment effect of saline-alkali soil

Abstract

The invention provides a comprehensive evaluation method and system for the treatment effect of saline-alkali soil, and the method comprises the steps: obtaining the treatment index of the saline-alkali soil, obtaining the evaluation index of the saline-alkali soil in the treatment period according to the evaluation index item of the saline-alkali soil, obtaining the evaluation index data and treatment index data of the saline-alkali soil before and after treatment, and obtaining the evaluation index data of the saline-alkali soil after treatment; judging whether the current state of the treated saline-alkali soil is qualified or not according to the evaluation index data; if the current state of the saline-alkali soil is unqualified, outputting an unqualified evaluation result, if the state is qualified, obtaining a change index of the saline-alkali soil after treatment relative to the change index before treatment, and determining the stability of the saline-alkali soil according to a matching relationship between the treatment index and the change index; if the saline-alkali soil has stability, the treatment effect is qualified, and if the saline-alkali soil does not have stability, the treatment effect is unqualified. According to the matching relationship between the change index and the governance index, the corresponding stability evaluation is performed, and the evaluation efficiency and the result accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive evaluation of the treatment effect of saline-alkali land, and specifically relates to a comprehensive evaluation method and system for the treatment effect of saline-alkali land. Background Art

[0002] Saline-alkali land is a specific type of soil characterized by excessive soluble salts. The formation of this type of soil is a complex natural process that usually occurs in arid or semi-arid regions. Due to the low precipitation and high evaporation in these areas, the salts in the groundwater easily rise to the surface through capillary action. When the water evaporates, the salts accumulate on the soil surface, thus forming saline-alkali land.

[0003] In the existing technology, the evaluation of the soil treatment effect is usually carried out by sampling and analyzing the soil to determine whether the data of its various indicators conform to the standard soil indicators. However, this evaluation method can only reflect the condition of the soil after artificial intervention treatment, and cannot ensure that the good treatment effect can still be maintained when the artificial intervention is reduced. Therefore, the accuracy of this evaluation method has limitations.

[0004] Therefore, the existing technology still needs to be further developed. Summary of the Invention

[0005] The purpose of the present invention is to overcome the above technical deficiencies and provide a comprehensive evaluation method and system for the treatment effect of saline-alkali land to solve the problems existing in the prior art.

[0006] To achieve the above technical purpose, according to the first aspect of the present invention, the present invention provides a comprehensive evaluation method for the treatment effect of saline-alkali land, including: S100. Obtain the treatment plan of the saline-alkali land, obtain the treatment indicators of the saline-alkali land according to the treatment plan, and obtain the evaluation indicators of the saline-alkali land during the treatment period according to the evaluation index items of the saline-alkali land. Obtain the evaluation index data and treatment index data of the saline-alkali land before and after treatment, and judge whether the current state of the saline-alkali land after treatment is qualified according to the evaluation index data; S200. If the current state of the saline-alkali land is unqualified, output an unqualified evaluation result. If the current state of the saline-alkali land is qualified, obtain the evaluation indicators whose evaluation index data of the saline-alkali land after treatment have changed compared with before treatment, which are recorded as variable indicators, and determine the stability of the saline-alkali land according to the matching relationship between the treatment indicators and the variable indicators; S300. If the saline-alkali land has stability, determine that the treatment effect of the saline-alkali land is qualified. If the saline-alkali land does not have stability, determine that the treatment effect of the saline-alkali land is unqualified.

[0007] Specifically, the judgment of whether the current state of the saline-alkali land is qualified according to the evaluation index data includes: Compare the evaluation index data of the saline-alkali land after treatment with the qualified data of the evaluation indexes of the saline-alkali land. If the evaluation index data of the saline-alkali land after treatment conforms to the qualified data of the evaluation indexes of the saline-alkali land, it is determined that the current state of the saline-alkali land after treatment is qualified; If the evaluation index data of the saline-alkali land after treatment does not conform to the qualified data of the evaluation indexes of the saline-alkali land, it is determined that the current state of the saline-alkali land after treatment is unqualified, and the unqualified evaluation result is output.

[0008] Specifically, the S200 includes: If the current state of the saline-alkali land is qualified, compare the evaluation index data of the saline-alkali land before treatment with the evaluation index data of the saline-alkali land after treatment, and record the evaluation index items with changed evaluation index data as changed indexes; Compare the treatment index with the changed index to determine the matching relationship between the treatment index and the changed index, and perform stability analysis on the treatment index or the changed index according to the matching relationship, so as to determine the stability of the saline-alkali land.

[0009] Specifically, the method for determining the matching relationship between the treatment index and the changed index includes: If all the index items included in the changed index match the index items included in the treatment index, that is, the treatment index includes the changed index, the matching relationship between the treatment index and the changed index is an inclusion relationship; If there is at least one index item in the changed index that does not match the index items included in the treatment index, and the remaining index items in the changed index are all consistent with the index items included in the treatment index, that is, the treatment index and the changed index have the same index items, the matching relationship between the treatment index and the changed index is an intersection relationship.

[0010] Specifically, the method for performing stability analysis on the treatment index or the changed index according to the matching relationship and then determining the stability of the saline-alkali land includes: If the matching relationship between the treatment index and the changed index is an inclusion relationship, perform stability analysis on the index data of the changed index, and use the stability result of the changed index as the stability result of the saline-alkali land; If the matching relationship between the treatment index and the changed index is an intersection relationship, mark the index items included in both the changed index and the treatment index as intersection indexes, perform stability analysis on the intersection indexes, and judge whether the saline-alkali land has stability according to the stability analysis result of the intersection indexes.

[0011] Specifically, the method for performing stability analysis on the intersection indexes and judging whether the saline-alkali land has stability according to the stability analysis result of the intersection indexes includes: If the intersection index is not stable, it is determined that the saline-alkali land is not stable; If the intersection index is stable, the index items that belong to the variable index but do not belong to the governance index are recorded as the difference set index, and the stability analysis is carried out on the difference set index to determine whether the difference set index is stable. If so, the saline-alkali land is stable; If not, the saline-alkali land is not stable.

[0012] Specifically, the method for performing stability analysis on the index data of the variable index includes: Periodically collect the index data of the saline-alkali land variable index, read the index data of the variable index in the time period from the start of saline-alkali land treatment to the current time, and obtain the index data change curve of the variable index; According to the change trend of the index data change curve of the variable index, the index data change curve of the variable index is divided into an ascending section, a stable section, and a descending section; If the index data of the currently collected variable index is in the ascending section or the descending section of the index data change curve of the variable index, it is determined that the index data of the current variable index is not stable; If the index data of the currently collected variable index is in the stable section of the index data change curve of the variable index, it is determined that the index data of the current variable index is stable.

[0013] Specifically, the method for performing stability analysis on the difference set index includes: According to the change trend of the difference set index data from before saline-alkali land treatment to the current after treatment, determine the actual change pattern of the difference set index data. Compare the difference set index data before saline-alkali land treatment with the qualified difference set index data to determine the qualified change pattern of the difference set index; If the actual change pattern of the difference set index is the same as the qualified change pattern, perform stability analysis on the difference set index; If the change patterns are different, mark the difference set index, and perform stability analysis on the index data of the difference set index during the next cycle of data sampling. Use the analysis result of stability as the stability result of the saline-alkali land to determine the stability of the saline-alkali land.

[0014] Specifically, the method for performing stability analysis on the index data of the difference set index during the next cycle of data sampling includes: Obtain the index data of the difference set index during the next cycle of data sampling, denoted as the sub-cycle index data. Based on the data change trend from the index data of the difference set index after treatment to the sub-cycle index data, obtain the continuous change pattern; If the continuous change pattern is the same as the qualified change pattern, it is determined that the difference set index has stability; if the continuous change pattern is different from the qualified change pattern, it is determined that the difference set index does not have stability.

[0015] According to a second aspect of the present invention, there is provided a comprehensive evaluation system for the treatment effect of saline-alkali land, comprising: A status judgment module: obtaining a treatment plan for saline-alkali land, obtaining treatment indicators of the saline-alkali land according to the treatment plan, and obtaining evaluation indicators of the saline-alkali land during the treatment period according to the evaluation index items of the saline-alkali land, obtaining evaluation index data and treatment index data of the saline-alkali land before and after treatment, and judging whether the current status of the saline-alkali land after treatment is qualified according to the evaluation index data; A data analysis module: if the current status of the saline-alkali land is unqualified, output an unqualified evaluation result; if the current status of the saline-alkali land is qualified, obtain the evaluation indicators that have changed in the evaluation index data of the saline-alkali land after treatment relative to before treatment, denoted as variable indicators, and determine the stability of the saline-alkali land according to the matching relationship between the treatment indicators and the variable indicators; A treatment evaluation module: if the saline-alkali land has stability, it is determined that the treatment effect of the saline-alkali land is qualified; if the saline-alkali land does not have stability, it is determined that the treatment effect of the saline-alkali land is unqualified.

[0016] Beneficial effects: 1. The present invention evaluates the qualification of the status of treated saline-alkali land. When it is confirmed that the saline-alkali land meets the qualified standard, its change indicators are determined and compared with the treatment indicators to clarify whether the treatment effect meets the expectations. In addition, according to the different comparison results, corresponding evaluation methods are adopted, further improving the accuracy of the evaluation results. By using the stability of the index data as the standard for evaluating the treatment effect of saline-alkali land, the accuracy of the comprehensive evaluation results is ensured, thus improving the accuracy of the evaluation results.

[0017] 2. According to the matching relationship between the variable indicators and the treatment indicators, different stability evaluation methods are adopted, greatly improving the evaluation efficiency and the accuracy of the results. If the matching relationship is an inclusion relationship, it indicates that the treatment effect of the saline-alkali land is consistent with the expected treatment strategy. At this time, a stability analysis of the variable indicators helps to reveal the stability status of the saline-alkali land and reduces the amount of data to be processed in the analysis, improving the analysis efficiency. If the matching relationship is an intersection relationship, it means that there are differences between the treatment effect of the saline-alkali land and the expected strategy. At this time, a preliminary analysis of the intersection indicators consistent with the treatment strategy is first carried out to quickly judge whether it is necessary to conduct an in-depth analysis of other variable indicators. If the intersection indicators show stability, a secondary analysis of the difference set indicators is further carried out to more accurately evaluate the stability status of the saline-alkali land, thereby improving the evaluation accuracy of the treatment effect of the saline-alkali land.

[0018] 3. By reading the historical acquisition data corresponding to the variable indicators, a curve of the change of the indicator data is depicted. According to the change curve, it is judged whether the variable indicators of the current saline-alkali land are stable, so as to evaluate the overall stability of the saline-alkali land, which greatly ensures the reliability and availability of the evaluation results. Brief Description of the Drawings

[0019] Figure 1 is a flowchart of the comprehensive evaluation method for the treatment effect of saline-alkali land provided in the specific embodiment of the present invention; Figure 2 is a schematic diagram of the system composition of the comprehensive evaluation system for the treatment effect of saline-alkali land provided in the specific embodiment of the present invention; Figure 3 is a step flowchart of the comprehensive evaluation method for the treatment effect of saline-alkali land provided in the specific embodiment of the present invention. Specific Embodiment

[0020] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the technical solutions of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Based on the embodiments in this application, other similar embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application. In addition, the directional terms mentioned in the following embodiments, such as "upper", "lower", "left", "right", etc., are only references to the directions of the drawings. Therefore, the directional terms used are for illustration rather than to limit the present invention.

[0021] The present invention will be further described below in conjunction with the drawings and preferred embodiments.

[0022] Please refer to Figure 1 , this embodiment provides a comprehensive evaluation method for the treatment effect of saline-alkali land, including: S100. Obtain the treatment plan of the saline-alkali land, obtain the treatment indicators of the saline-alkali land according to the treatment plan, and obtain the evaluation indicators of the saline-alkali land during the treatment period according to the evaluation index items of the saline-alkali land. Obtain the evaluation index data and treatment index data of the saline-alkali land before and after treatment, and judge whether the current state of the saline-alkali land after treatment is qualified according to the evaluation index data; In some specific embodiments, the treatment plan is manually formulated by professionals, that is, before land treatment, through data collection and discussion, a relatively complete treatment plan is obtained. Just like in construction, one needs existing drawings to start construction. The treatment plan will clearly indicate that one or several indicators are to be treated. The formulated plan can be used as text input into a machine learning model, and machine learning methods can be adopted to understand and extract the text content of the treatment plan. Or, specific treatment indicators can be directly input manually according to the indicators specified in the treatment plan to be treated. For example, if the treatment plan indicates that the plan is for treating soil salinity, the treatment indicators include soil salinity. If the treatment plan indicates that the plan is for treating soil salinity and pH value, the treatment indicators include soil salinity and pH value.

[0023] In some specific embodiments, the evaluation index data and treatment index data of saline-alkali land before and after treatment are obtained manually, that is, samples of the soil before and after treatment are collected and detected artificially, and the corresponding detection results are input into the evaluation system. Then, according to the detection results, it is determined whether the state of the soil after treatment is qualified.

[0024] Specifically, determining whether the current state of the saline-alkali land is qualified according to the evaluation index data includes: Comparing the evaluation index data of the saline-alkali land after treatment with the qualified evaluation index data of the saline-alkali land. If the evaluation index data of the saline-alkali land after treatment conforms to the qualified evaluation index data of the saline-alkali land, it is determined that the current state of the saline-alkali land after treatment is qualified; If the evaluation index data of the saline-alkali land after treatment does not conform to the qualified evaluation index data of the saline-alkali land, it is determined that the current state of the saline-alkali land after treatment is unqualified, and an unqualified evaluation result is output.

[0025] It can be understood that by comparing the current evaluation index data after treatment with the evaluation index data in the qualified state (qualified evaluation index data), it can be quickly, accurately, and effectively determined whether the current saline-alkali land after treatment is qualified. If the index data of the saline-alkali land under artificial treatment is in an unqualified state, an evaluation result of unqualified saline-alkali land state is directly output, and there is no need to carry out the subsequent treatment effect evaluation process, further improving the judgment speed.

[0026] In some specific embodiments, the evaluation indicators of saline-alkali land include soil salinity, pH value, microbial content, etc. Among them, the evaluation indicators of saline-alkali land can be set artificially, that is, input by the user, or fixed according to soil properties. The present invention does not further limit this.

[0027] In some specific embodiments, taking the soil salt content as an example of the evaluation index for saline-alkali land, the salt content of normal soil is <10, that is, the qualified data range of the soil salt content is less than 10. If the currently collected soil salt content of the saline-alkali land is 50 (greater than 10), it is determined that the current state of the treated saline-alkali land is unqualified. On the contrary, if the currently collected soil content of the saline-alkali land is 8 (less than 10), it is determined that the current state of the treated saline-alkali land is qualified.

[0028] S200: If the current state of the saline-alkali land is unqualified, output an unqualified evaluation result. If the current state of the saline-alkali land is qualified, obtain the evaluation index that has changed in the evaluation index data of the treated saline-alkali land compared with before treatment, denoted as the changed index. According to the matching relationship between the treatment index and the changed index, determine the stability of the saline-alkali land. Furthermore, when it is determined that the evaluation index of the saline-alkali land is in a qualified state in the current state, by analyzing the index items whose evaluation index data has changed in the saline-alkali land, it is further determined whether the treated saline-alkali land has stability, and then the treatment effect of the saline-alkali land can be evaluated more accurately.

[0029] Specifically, the S200 includes: If the current state of the saline-alkali land is qualified, compare the evaluation index data of the saline-alkali land before treatment with the evaluation index data of the saline-alkali land after treatment, and denote the evaluation index items with changed evaluation index data as the changed index. Compare the treatment index and the changed index to determine the matching relationship between the treatment index and the changed index. According to the matching relationship, conduct a stability analysis on the treatment index or the changed index, and then determine the stability of the saline-alkali land.

[0030] It can be understood that by comparing the treatment index and the changed index, it is determined whether the data change of the saline-alkali land is within the prediction of the treatment plan, and then it is further determined whether the state of the saline-alkali land is within the controllable range. If it is not within the controllable range, further in-depth analysis is required to ensure the accuracy of the evaluation of the treatment effect of the saline-alkali land.

[0031] Specifically, the method for determining the matching relationship between the treatment index and the changed index includes: If all the index items included in the changed index match the index items included in the treatment index, that is, the treatment index includes the changed index, the matching relationship between the treatment index and the changed index is an inclusion relationship. If there is at least one index item in the change index that does not match the index items included in the governance index, and the remaining index items in the change index are all consistent with the index items included in the governance index, that is, the governance index and the change index have the same index items, then the matching relationship between the governance index and the change index is an intersection relationship.

[0032] It should be further noted that the inclusion relationship means that the change index is a subset of the governance index, and the governance index completely covers the change index. The intersection relationship means that the change index and the governance index have partial overlap, but there are new or uncovered index items.

[0033] Specifically, the method for performing stability analysis on the governance index or the change index according to the matching relationship and then determining the stability of the saline-alkali land includes: If the matching relationship between the governance index and the change index is an inclusion relationship, perform stability analysis on the index data of the change index, and use the stability result of the change index as the stability result of the saline-alkali land; If the matching relationship between the governance index and the change index is an intersection relationship, mark the index items included in both the change index and the governance index as intersection indexes, perform stability analysis on the intersection indexes, and judge whether the saline-alkali land has stability according to the stability analysis result of the intersection indexes.

[0034] Here it should be noted that when the matching relationship is an inclusion relationship, it indicates that the governance result of the saline-alkali land is the same as the orientation of the governance plan, that is, the governance result is known and controllable. Therefore, only the stability analysis of the change index needs to be performed to judge the governance effect of the saline-alkali land, reducing the amount of data to be analyzed and improving the analysis efficiency. If the matching relationship is an intersection relationship, it indicates that there is a deviation between the governance result of the saline-alkali land and the orientation of the governance plan, that is, the governance result is unknown and uncontrollable. Therefore, it is necessary to analyze and judge the evaluation index data of multiple saline-alkali lands to ensure the accuracy of the finally judged result. The present invention adopts different evaluation methods according to different matching relationships, making the evaluation result more accurate and greatly improving the stability of the evaluation result.

[0035] Specifically, the method for performing stability analysis on the intersection indexes and judging whether the saline-alkali land has stability according to the stability analysis result of the intersection indexes includes: If the intersection indexes do not have stability, it is determined that the saline-alkali land does not have stability; If the intersection indexes have stability, mark the index items that belong to the change index but do not belong to the governance index as difference set indexes, perform stability analysis on the difference set indexes, and judge whether the difference set indexes have stability. If so, the saline-alkali land has stability; If not, the saline-alkali land does not have stability.

[0036] Furthermore, during the treatment of saline-alkali land, the total evaluation indicators that have changed are the variable indicators, which are further divided into two parts: the intersection indicators and the difference set indicators. Only when both the intersection indicators and the difference set indicators are stable can it be concluded that the saline-alkali land is stable, and then it can be concluded that the treatment effect of the saline-alkali land is qualified. Since the intersection indicators are the indicator items clearly defined by the treatment plan, that is, the treatment indicators, the stability of the intersection indicators is judged first to clarify whether it is necessary to analyze other subsequent indicators. When the treatment indicators, that is, the indicator items clearly defined by the treatment plan, are not stable, it can directly indicate that the treatment effect of this treatment plan is poor. Therefore, the saline-alkali land is not stable, and the comprehensive evaluation result of unqualified treatment effect of the saline-alkali land can be directly output, reducing the amount of data in one analysis and improving the analysis efficiency of the treatment effect of the saline-alkali land. If the intersection indicators are stable, the indicator items not included in the treatment indicators in the variable indicators are marked as the difference set indicators. When the intersection indicators are stable, it indicates that the intersection indicators are within the controllable range of the treatment plan. Therefore, it is necessary to analyze the remaining variable indicator items to ensure that the final judgment result is more accurate. Only when both the intersection indicators and the difference set indicators meet the stability requirements can the stability of the saline-alkali land be ensured, and then the stability of the treatment effect of the saline-alkali land can be confirmed.

[0037] Specifically, the method for analyzing the stability of the indicator data of the variable indicators includes: Periodically collect the indicator data of the variable indicators of the saline-alkali land, read the indicator data of the variable indicators in the time period from the start of the saline-alkali land treatment to the current time, and obtain the change curve of the indicator data of the variable indicators; According to the change trend of the change curve of the indicator data of the variable indicators, divide the change curve of the indicator data of the variable indicators into an ascending section, a stable section, and a descending section; Among them, when judging the change trend of the change curve, by obtaining the difference between the maximum value and the minimum value and the corresponding time span difference, the fluctuation interval of the change curve is determined. Based on the time span and the fluctuation interval, the part within the fluctuation interval is marked as the stable section, and vice versa is marked as the ascending section or the descending section. Based on the change trend data, the change curve of the indicator data is divided into an ascending section, a stable section, and a descending section. The specific division process is as follows: 1. Data collection and curve generation Periodic collection: Measure the evaluation indicator data of the saline-alkali land (such as soil salt content, pH value, conductivity, vegetation coverage, etc.) at fixed time intervals (such as weekly / monthly) from the start of the saline-alkali land treatment to form a time series data set; Draw a change curve: Connect the data points in chronological order to generate a change curve of the indicator over time (e.g., the X-axis is time and the Y-axis is the pH value); In some specific examples, after the governance starts, the soil salt content can be measured monthly for 3 consecutive years, and a salt content change curve can be plotted. The core logic for dividing the change trend is as follows: (1) Set the threshold for the fluctuation range: If the actual fluctuation amplitude ≤ the threshold for the fluctuation range, it is regarded as a stable section; otherwise, it is an ascending / descending section.

[0038] (2) Segmentation rules Stable section: The index fluctuates within the threshold range, and there is no significant trend change.

[0039] Judgment condition: The range of consecutive data points ≤ the threshold for the fluctuation range, and the slope is close to 0 (for example, the absolute value of the slope can be set <0.1); Ascending / descending section: The index continuously increases or decreases, and the fluctuation amplitude exceeds the threshold for the fluctuation range; Judgment condition: The range of consecutive data points > the threshold for the fluctuation range (ascending) or the range of consecutive data points < the threshold for the fluctuation range (descending).

[0040] If the index data of the currently collected variable index is in the ascending or descending section of the index data change curve of the variable index, it is determined that the index data of the currently collected variable index does not have stability; If the index data of the currently collected variable index is in the stable section of the index data change curve of the variable index, it is determined that the index data of the currently collected variable index has stability.

[0041] It is understandable that the time data at the last collection is obtained, and the position of the index data corresponding to the time data at the last collection in the change trend data is determined according to the change curve segment. Among them, the time data at the last collection is the current time data (if collection is performed at the current time point, the index data collected at the current time point shall prevail; if collection is not performed at the current time point, the index data at the time point of the last collection closest to the current time point shall prevail). That is, if the index data corresponding to the time data at the last collection is located in the stable segment of the change curve segment, it is determined that the index data of the variable index has stability; if the index data corresponding to the time data at the last collection is located in the rising segment or the falling segment of the change curve segment, it is determined that the index data of the variable index does not have stability. In this embodiment, since when the saline-alkali land is in a stable state, the corresponding indicators are also in a stable state, the current state of the variable index is judged, so as to effectively judge whether the variable index is in a stable state. For example, before treatment, the index data corresponding to the variable index is unqualified data. After treatment, the index data of the variable index changes from unqualified data to qualified data, and then it will be in an upward or downward change trend. When the variable index is in a qualified state, its index data does not change significantly. Therefore, by judging the index data of the variable index collected last time, the stability of the variable index is effectively judged.

[0042] Specifically, the method for analyzing the stability of the difference set index includes: According to the change trend of the difference set index data from before the saline-alkali land treatment to the current after-treatment, the actual change mode of the difference set index data is determined, and according to the comparison between the difference set index data before the saline-alkali land treatment and the qualified data of the difference set index, the qualified change mode of the difference set index is determined; If the actual change mode of the difference set index is the same as the change mode of the qualified change mode, the stability analysis of the difference set index is carried out; If the change modes are different, the difference set index is marked, and when sampling data in the next cycle, the stability analysis of the index data of the difference set index is carried out, and the analysis result of the stability is used as the stability result of the saline-alkali land to determine the stability of the saline-alkali land.

[0043] Furthermore, the change modes here include tending to rise, tending to fall, and tending to be stable. For example, if the data change of the difference set index before and after treatment is increased from 50 to 100, the change of this value is the actual change mode, and this actual change mode tends to rise; theoretically, the difference set index should be decreased from 50 to 10 to meet the treatment of the soil saline-alkali land, and the change of this value is the qualified change mode, and this qualified change mode is tending to fall, that is, it means that the change modes of the actual change mode and the qualified change mode are different.

[0044] In this embodiment, since the difference set index may be in a qualified state or an unqualified state before the saline-alkali land treatment, when judging the state of the saline-alkali land, if the saline-alkali land is in a qualified state, the difference set index is in a qualified state under the current state. Therefore, if the difference set index is in a qualified state before the treatment, the change pattern of the difference set index will not change. However, if the difference set index is in an unqualified state before the treatment, the change pattern of the difference set index will change. Therefore, further analysis is required. When judging the stability of the difference set index, by determining the actual change pattern of the difference set index during the treatment process and the change pattern in the ideal state, that is, the qualified change pattern, and comparing the actual change pattern with the qualified change pattern, the true change situation of the difference set index can be determined. When the change patterns of the difference set index are the same, it indicates that the difference set index has been associated with the treatment orientation of the treatment plan during the treatment process, that is, the treatment result is within the controllable range. Then, the stability analysis of the variable index is carried out to finally determine the stability of the saline-alkali land. When the change patterns of the difference set index are different, it indicates that the change of the difference set index during the treatment process is not related to the treatment orientation of the treatment plan, that is, the treatment result is out of the controllable range. Therefore, in-depth analysis of the abnormal difference set index is required to further clarify the stability of the saline-alkali land, making the evaluation result of the saline-alkali land treatment effect more accurate.

[0045] Specifically, the method for analyzing the stability of the index data of the difference set index during the next cycle of data sampling includes: Obtain the index data of the difference set index during the next cycle of data sampling, denoted as the sub-cycle index data, and obtain the continuous change pattern based on the data change trend from the index data of the current difference set index after the treatment to the sub-cycle index data; If the continuous change pattern is the same as the qualified change pattern, it is determined that the difference set index has stability. If the continuous change pattern is different from the qualified change pattern, it is determined that the difference set index does not have stability.

[0046] It should be noted here that since it is an extension based on the different change patterns in the previous step, when the actual change pattern is different from the qualified change pattern, it is impossible to determine whether the difference set index is stable at one time. Therefore, it is necessary to wait for the next data collection to comprehensively judge the stability of the soil, making the judgment result more reliable and effective. Therefore, the continuous change pattern is the data change from the current time point to the data at the next sampling.

[0047] In this embodiment, taking the last sampling (i.e., the current state) as a reference, the index data obtained from the next sampling is marked as sub-cycle index data. Since the current state of the saline-alkali land is in a qualified state, the index data corresponding to the current difference set index is also in a qualified state. When the next cycle of collection is performed, if the sub-cycle index data of the next cycle is in a qualified state, the continuous change pattern tends to be stable. Similarly, the qualified change pattern of the index data of the current difference set index and the qualified data of the evaluation index is also a stable segment. Therefore, when the continuous change pattern is in a stable segment, it indicates that the index data of the difference set index has stability, and further indicates that the saline-alkali land has stability. If the continuous change pattern is different from the qualified change pattern, it is determined that the difference set index does not have stability, ensuring the accuracy of the evaluation of the treatment effect of the saline-alkali land.

[0048] Furthermore, if it is determined that the difference set index does not have stability, obtain the interaction relationship between the difference set index and other index items in the treatment index (i.e., the index items included in the treatment index but not included in the variable index); among them, this interaction relationship can be obtained from the experimental reports of this industry, or can be obtained by judging the data changes between each index before and after treatment. Based on the index data, interaction relationship, and index qualified data of each currently collected index item, determine the influence of other index items on the index data of the difference set index within the change range of the index qualified data, specifically including: Suppose the difference set index contains index a, and other index items contain index b. The difference set index a is affected by index b, and the interaction relationship is: for every 2 data that b approaches the index qualified data, the difference set index approaches the qualified data by 1 data. If the current value of index b is 20 and the index qualified data is 10, the influence on the difference set index is: (20 - 10) ÷ 2 = 5. Therefore, when index b is adjusted to the qualified data, the difference set index a is adjusted by 5 data values, and 5 is the influence of this index on the difference set index.

[0049] Furthermore, compare the influence of other index items on the difference set index with the actual change trend of the difference set index to screen out the index items whose influence on the difference set index is opposite to the actual change trend of the difference set index, and mark the screened index items as adjustable index items; For example, there is an indicator b that approaches the qualified data by 2 each time, and the difference set indicator a approaches the qualified data by 1. For indicator c that approaches the qualified data by 2 each time, the difference set indicator a moves away from the qualified data by 1. For indicator d that approaches the qualified data by 2 each time, the difference set indicator approaches the qualified data by 1. Currently, the collected indicator b is qualified data, indicator c is unqualified data, and indicator d is unqualified data. Then it is determined that only indicator c and indicator d have an impact on the difference set indicator a. Since the difference set indicator a is not stable, it indicates that the difference set indicator a is moving away from the qualified data. The impact of indicator d on the difference set indicator a is opposite to the actual change trend of the difference set indicator. Therefore, it is necessary to adjust indicator d so that the difference set indicator a can approach the qualified data, that is, indicator d is an adjustable indicator item.

[0050] The above-mentioned approach or departure is only a generalization. The actual situation is that for every increase of 2 in indicator b, the difference set indicator a increases by 1, and the actual indicator b needs to increase by 10 to reach the qualified data, while the difference set indicator a needs to decrease by 3 to reach the qualified data; or indicator b needs to decrease by 10 to reach the qualified data, and indicator a needs to decrease by 3 to reach the qualified data, etc.

[0051] Furthermore, output the adjustable indicator item, the relationship of action, and the difference set indicator that is not stable.

[0052] In this embodiment, when it is determined that the difference set indicator is not stable, through the interaction relationship between the difference set indicator and other indicators, the adjustable indicator item is screened out. Then, the screened adjustable indicator item, the relationship of action, and the difference set indicator that is not stable are output to help relevant staff adjust the treatment of saline-alkali land and help the saline-alkali land restore stability.

[0053] S300: If the saline-alkali land is stable, it is determined that the treatment effect of the saline-alkali land is qualified; if the saline-alkali land is not stable, it is determined that the treatment effect of the saline-alkali land is unqualified.

[0054] It can be understood that according to the stability of the changes of each indicator of the saline-alkali land, the stability of the saline-alkali land is determined. Then, the stability result of the saline-alkali land is used as the judgment of the treatment effect of the saline-alkali land, making the judgment result more credible. For example, when a patient goes to the hospital to see a doctor, where the patient is compared to the saline-alkali land, getting well represents the qualified state of the saline-alkali land, and treatment means making modifications to the treatment plan based on the evaluation index data of the saline-alkali land. If the patient repeatedly goes to the hospital to see a doctor, it represents the volatility of the evaluation indicators of the saline-alkali land, indicating that the patient's condition recurs and the treatment effect is not good. When the patient can maintain the stability of the condition without recurrence, it indicates that the treatment effect is good, that is, the treatment result of the saline-alkali land is qualified.

[0055] Please refer to Figure 3 , the working principle of the present invention will be described below through specific examples: Step 1: Obtain the treatment plan. The treatment plan is a series of treatment processes for indicators a and b. Determine the treatment indicators a and b for saline-alkali land according to the treatment plan. Step 2: Obtain the data before saline-alkali land treatment and the treatment indicator data after treatment, and determine the evaluation indicator data of the saline-alkali land during the treatment period as a, b, c, and d according to the evaluation indicator items (a, b, c, d) of the saline-alkali land. Step 3: During the time span from before soil treatment to the current time point, statistically summarize the results of soil collection and analysis according to the corresponding evaluation indicator items to obtain the evaluation indicator data of the corresponding indicator items. When evaluating the treatment effect, first compare the treatment result at the current time point with the data in the qualified state. For example, if the indicator data of the current evaluation indicator item are all 50, and the corresponding qualified data are also all 50, then it is determined that the current state of the soil is in a qualified state. Step 4: If there are indicator data of the current evaluation indicator item that are not 50, then the current state result of the saline-alkali land is an unqualified state, and an unqualified evaluation result is output. Step 5: If the current state result of the saline-alkali land is a qualified state, then further judge the stability of the soil state. Compare the evaluation indicator data before treatment with the evaluation indicator data after treatment, and mark the indicator items with changed evaluation indicator data as changed indicators. For example, if the evaluation indicator items a and b are both 100 before treatment, c is 50 before treatment, and d is 10 before treatment, and the data after treatment are a, b, c, and d are all 50, then the changed indicators are a, b, and d, that is, a, b, and d are changed indicators. Step 6: Match the changed indicators a, b, and d with the treatment indicators a and b to determine the corresponding relationship. At this time, since the treatment indicators do not include indicator d, the matching relationship is determined to be an intersection relationship. Conversely, if the changed indicators are a and b, the relationship is determined to be an inclusion relationship. Step 7: Conduct a stability analysis on the treatment indicators or changed indicators based on the matching relationship to determine the stability of the saline-alkali land. In Step 7, conduct a stability analysis on the treatment indicators or changed indicators based on the matching relationship data to determine the stability of the saline-alkali land, including the following steps: S710, if the matching relationship is an inclusion relationship, that is, the changed indicators are a and b, then conduct a stability analysis on the indicator data of a and b, and use the stability result of the changed indicators as the stability result of the saline-alkali land to determine the stability of the saline-alkali land. In Step S710, conducting a stability analysis on the indicator data of a and b includes the following steps: S711, read the historical collection data based on the changed indicators a and b to obtain the historical data set. S712. Statistically analyze the historical data set based on the time data to obtain the index data change curves of the change indexes a and b. S713. Judge the change trend of the index data change curve to obtain the change trend data. Among them, when judging the change trend of the change curve, determine the fluctuation interval of the change curve, mark the section within the fluctuation interval as the stable section, and vice versa mark it as the rising section or the falling section.

[0056] S714. Divide the index data change curve based on the change trend data to obtain the change curve segments. The change curve segments include the rising section, the stable section, and the falling section.

[0057] S715. Obtain the time data at the last collection, and determine the position of the index data corresponding to the time data at the last collection in the change trend data according to the change curve segments. Among them, the time data at the last collection is the current time data.

[0058] S716. If the index data corresponding to the time data at the last collection is located in the stable section of the change curve segment, it is determined that the index data of the change index has stability. S717. If the index data corresponding to the time data at the last collection is located in the rising section or the falling section of the change curve segment, it is determined that the index data of the change index does not have stability. S718. Use the stability results of the change indexes a and b as the stability results of the saline-alkali land to determine the stability of the saline-alkali land.

[0059] S720. If the relationship data is an intersection relationship, the index items included in both the change indexes a, b, d and the governance indexes a, b are marked as the intersection indexes a, b. S730. Conduct a stability analysis on the intersection indexes a, b to determine whether the index data corresponding to the intersection indexes a, b has stability. Among them, the stability analysis of the intersection indexes a, b is the same as that of the change indexes.

[0060] S740. If the intersection indexes a, b do not have stability, it is determined that the saline-alkali land does not have stability. Among them, the intersection indexes a, b are the index items clearly governed by the governance plan, so by first judging the stability of the intersection indexes, it is clear whether it is necessary to analyze other subsequent indexes. S750. If the intersection indexes a, b have stability, according to the index items included in the change indexes and the index items included in the governance indexes, the index items not included in the governance indexes among the change indexes are marked as the difference set indexes d. When the intersection indexes a, b have stability, it indicates that the intersection indexes a, b are within the controllable range of the governance plan, so it is necessary to analyze the remaining variable index items to ensure the accuracy of the final judgment result. In S760, perform a stability analysis on the difference set index d, and use the analysis result of the stability as the stability result of the saline-alkali land to determine the stability of the saline-alkali land.

[0061] In step S760, performing a stability analysis on the difference set index d includes the following steps: S761, Based on the difference set index, compare the index data of the difference set index d before treatment with the index data after treatment to determine the actual change pattern of the difference set index d; S762, Compare the index data of the difference set index d before treatment with the qualified index data to determine the qualified change pattern of the difference set index d; S763, Compare the actual change pattern with the qualified change pattern. If the change patterns are the same, perform a stability analysis on the index data of the difference set index d, and use the stability result of the difference set index d as the stability result of the saline-alkali land to determine the stability of the saline-alkali land; S764, If the change patterns are different, mark the difference set index d, and perform a stability analysis on the index data of the difference set index d during the next cycle of data sampling, and use the analysis result of the stability as the stability result of the saline-alkali land to determine the stability of the saline-alkali land; In step S764, if the change patterns are different, marking the difference set index d includes the following steps: S7641, Obtain the index data of the difference set index d during the next cycle of data sampling, and mark this index data as the sub-cycle index data; S7642, Based on the difference set index d, determine the numerical change between the index data in the current state and the sub-cycle index data to obtain the continuous change pattern; S7643, Compare the continuous change pattern with the qualified change pattern. If the continuous change pattern is the same as the qualified change pattern, it is determined that the difference set index d has stability; Since the current state of the saline-alkali land is in a qualified state, the index data corresponding to the current difference set index d is also in a qualified state. When the next cycle of data collection is performed, if the sub-cycle index data of the next cycle is in a qualified state, the continuous change pattern is a stable segment. Similarly, the qualified change pattern of the index data of the current difference set index d and the qualified index data is also a stable segment. Therefore, when the continuous change pattern is in a stable segment, it indicates that the index data of the difference set index d has stability, and further indicates that the saline-alkali land has stability.

[0062] S7644, If the continuous change pattern is different from the qualified change pattern, it is determined that the difference set index d does not have stability.

[0063] In step S764, if the change patterns are different, the difference set indicators are marked, and the stability analysis is performed on the indicator data of the difference set indicator d during the next cycle data sampling. It further includes the following steps: S7645, if it is determined that the difference set indicator d is not stable, obtain the interaction relationship between the difference set indicator d and other indicator items; wherein, this interaction relationship can be obtained from the experimental reports of this industry and built into the system internally, or can be obtained by judging the data changes between each indicator before and after treatment; S7646, determine the influence of other indicator items on the indicator data of the difference set indicator d within the change range of the indicator qualified data based on the currently collected indicator data of each indicator item, the interaction relationship, and the indicator qualified data; S7647, compare the influence of other indicators on the difference set indicator d with the actual change trend of the difference set indicator d to screen out the indicator items whose influence on the difference set indicator is opposite to the actual change trend of the difference set indicator, and mark the screened indicator items as adjustable indicator items; S7648, output the adjustable indicator items, the interaction relationship, and the difference set indicator d that is not stable.

[0064] It should be noted here that this embodiment provides a comprehensive evaluation method for the treatment effect of saline-alkali land. It evaluates the status qualification of the treated saline-alkali land. When it is confirmed that the saline-alkali land meets the qualified standard, its change indicators are determined and compared with the treatment indicators for analysis to clarify whether the treatment effect meets the expectations. According to the different comparison results, corresponding evaluation methods are adopted, which further improves the accuracy of the evaluation results. By using the stability of the indicator data as the standard for evaluating the treatment effect of saline-alkali land, the accuracy of the comprehensive evaluation results is ensured, thereby improving the accuracy of the evaluation results. According to the matching relationship between the change indicators and the treatment indicators, different stability evaluation methods are adopted, which improves the evaluation efficiency and the accuracy of the results. If the matching relationship is an inclusion relationship, it indicates that the treatment effect of the saline-alkali land is consistent with the expected treatment strategy. Performing stability analysis on the change indicators helps to reveal the stability status of the saline-alkali land and at the same time reduces the amount of data to be processed in the analysis, improving the analysis efficiency; if the matching relationship is an intersection relationship, it means that there are differences between the treatment effect of the saline-alkali land and the expected strategy. Then, a preliminary analysis is first performed on the intersection indicators that are consistent with the treatment strategy to determine whether it is necessary to conduct an in-depth analysis of other change indicators. If the intersection indicators are stable, a secondary analysis is performed on the difference set indicators to more accurately evaluate the stability status of the saline-alkali land, thereby improving the evaluation accuracy of the treatment effect of the saline-alkali land. Judging whether the current change indicators of the saline-alkali land are stable according to the change curve of the change indicators, so as to evaluate the overall stability of the saline-alkali land, which largely ensures the reliability and usability of the evaluation results.

[0065] Please refer toFigure 2 , this embodiment provides a comprehensive evaluation system for the treatment effect of saline-alkali land. The system includes: Status judgment module 100: Obtain the treatment plan for the saline-alkali land, obtain the treatment indicators of the saline-alkali land according to the treatment plan, and obtain the judgment indicators of the saline-alkali land during the treatment period according to the judgment index items of the saline-alkali land. Obtain the judgment index data and treatment index data of the saline-alkali land before and after treatment, and judge whether the current status of the saline-alkali land after treatment is qualified according to the judgment index data; Data analysis module 200: If the current status of the saline-alkali land is unqualified, output an unqualified evaluation result. If the current status of the saline-alkali land is qualified, obtain the judgment indicators whose judgment index data of the saline-alkali land after treatment have changed compared with before treatment, which are recorded as variable indicators, and determine the stability of the saline-alkali land according to the matching relationship between the treatment indicators and the variable indicators; Treatment evaluation module 300: If the saline-alkali land has stability, determine that the treatment effect of the saline-alkali land is qualified. If the saline-alkali land does not have stability, determine that the treatment effect of the saline-alkali land is unqualified.

[0066] It should be noted here that this embodiment provides a comprehensive evaluation system for the treatment effect of saline-alkali land, which evaluates the qualification of the status of the treated saline-alkali land. When it is confirmed that the saline-alkali land meets the qualified standard, its change indicators are determined and compared and analyzed with the treatment indicators to clarify whether the treatment effect meets the expectations. According to the different comparison results, corresponding evaluation methods are adopted, which improves the accuracy of the evaluation results. By using the stability of the index data as the standard for evaluating the treatment effect of saline-alkali land, the accuracy of the comprehensive evaluation results is ensured, thereby improving the accuracy of the evaluation results and largely ensuring the reliability and usability of the evaluation results.

[0067] It should be noted that the terms "first", "second", etc. in the specification, claims and above-mentioned drawings of this application are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0068] The various technical features described above can be combined arbitrarily. Although not all possible combinations of these technical features are described, any combination of these technical features should be considered to be covered by this specification, as long as such a combination is not contradictory.

[0069] The specific embodiments of the present invention described above do not constitute a limitation on the protection scope of the present invention. Any other corresponding changes and deformations made according to the technical concept of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A comprehensive evaluation method for the treatment effect of saline-alkali land, characterized in that: include: S100, obtaining a treatment plan for saline-alkali land, obtaining treatment indicators for saline-alkali land according to the treatment plan, obtaining evaluation indicators for saline-alkali land during the treatment period according to evaluation indicator items for saline-alkali land, obtaining evaluation indicator data and treatment indicator data for saline-alkali land before and after treatment, and judging whether the current state of the saline-alkali land after treatment is qualified according to the evaluation indicator data; S200, if the current state of the saline-alkali land is unqualified, an unqualified evaluation result is output; if the current state of the saline-alkali land is qualified, the evaluation index data of the saline-alkali land after treatment is obtained, and the evaluation index that has changed relative to the evaluation index before treatment is recorded as a change index, and the stability of the saline-alkali land is determined according to the matching relationship between the treatment index and the change index; S300. If the saline-alkali land is stable, the treatment effect of the saline-alkali land is determined to be qualified; if the saline-alkali land is not stable, the treatment effect of the saline-alkali land is determined to be unqualified.

2. The comprehensive evaluation method for saline-alkali land management effect according to claim 1 is characterized in that: The step of judging whether the current state of the saline-alkali land is qualified according to the evaluation index data includes: The evaluation index data of the saline-alkali land after treatment is compared with the qualified evaluation index data of the saline-alkali land. If the evaluation index data of the saline-alkali land after treatment meets the qualified evaluation index data of the saline-alkali land, it is determined that the current state of the saline-alkali land after treatment is qualified; If the evaluation index data of the saline-alkali land after treatment does not meet the qualified evaluation index data of the saline-alkali land, it is determined that the current state of the saline-alkali land after treatment is unqualified, and an unqualified evaluation result is output.

3. The comprehensive evaluation method for saline-alkali land treatment effect according to claim 1 is characterized in that: The S200 includes: If the saline-alkali land is currently in a qualified state, the evaluation index data of the saline-alkali land before treatment is compared with the evaluation index data of the saline-alkali land after treatment, and the evaluation index items whose evaluation index data have changed are recorded as changed indicators; The control index and the change index are compared to determine the matching relationship between the control index and the change index, and the stability of the saline-alkali land is determined by performing stability analysis on the control index or the change index according to the matching relationship.

4. The comprehensive evaluation method for saline-alkali land treatment effect according to claim 3 is characterized in that: The method for determining the matching relationship between the governance indicator and the change indicator includes: If all the indicator items included in the change indicator match the indicator items included in the governance indicator, that is, the governance indicator includes the change indicator, then the matching relationship between the governance indicator and the change indicator is an inclusion relationship; If there is at least one indicator item in the change indicator that does not match the indicator item included in the governance indicator, and the remaining indicator items in the change indicator are consistent with the indicator items included in the governance indicator, that is, the governance indicator and the change indicator have the same indicator items, then the matching relationship between the governance indicator and the change indicator is an intersection relationship.

5. The comprehensive evaluation method for saline-alkali land treatment effect according to claim 4 is characterized in that: The method of performing stability analysis on the control index or change index according to the matching relationship to thereby determine the stability of the saline-alkali land comprises: If the matching relationship between the governance index and the change index is an inclusion relationship, stability analysis is performed on the index data of the change index, and the stability result of the change index is used as the stability result of the saline-alkali land; If the matching relationship between the governance indicator and the change indicator is an intersection relationship, the indicator items included in both the change indicator and the governance indicator are marked as intersection indicators, and a stability analysis is performed on the intersection indicators. The stability of the saline-alkali land is judged based on the stability analysis results of the intersection indicators.

6. The comprehensive evaluation method for saline-alkali land treatment effect according to claim 5 is characterized in that: The method of performing stability analysis on the intersection index and judging whether the saline-alkali land is stable according to the stability analysis result of the intersection index comprises: If the intersection index is not stable, it is determined that the saline-alkali land is not stable; If the intersection index is stable, the index items that belong to the variable index but not the governance index are recorded as difference indexes, and the stability analysis of the difference index is performed to determine whether the difference index is stable. If so, the saline-alkali land is stable; If not, the saline-alkali land is not stable.

7. The comprehensive evaluation method for saline-alkali land treatment effect according to claim 5 is characterized in that: The method for performing stability analysis on indicator data of a variable indicator comprises: Periodically collect the index data of the saline-alkali land change index, read the index data of the change index from the start of saline-alkali land management to the current time, and obtain the index data change curve of the change index; According to the change trend of the indicator data change curve of the change indicator, the indicator data change curve of the change indicator is divided into an ascending section, a stable section and a descending section; If the indicator data of the currently collected changing indicator is located in the rising section or the falling section in the indicator data change curve of the changing indicator, it is determined that the indicator data of the current changing indicator is not stable; If the indicator data of the currently collected changing indicator is located in a stable section in the indicator data change curve of the changing indicator, it is determined that the indicator data of the current changing indicator is stable.

8. The comprehensive evaluation method for saline-alkali land treatment effect according to claim 6 is characterized in that: The method for performing stability analysis on the difference set index comprises: According to the current trend of difference index data change from before to after saline-alkali land treatment, the actual change mode of difference index data is determined; according to the difference index data before saline-alkali land treatment and the qualified data of difference index, the qualified change mode of difference index is determined; If the actual change pattern of the difference set index is the same as the change pattern of the qualified change pattern, the stability analysis of the difference set index is performed; If the change patterns are different, the difference index will be marked, and the stability analysis will be performed on the index data of the difference index when sampling the next cycle data. The stability analysis result will be used as the stability result of the saline-alkali land to determine the stability of the saline-alkali land.

9. The comprehensive evaluation method for saline-alkali land treatment effect according to claim 8 is characterized in that: The method for performing stability analysis on the indicator data of the difference set indicator when sampling the next cycle data includes: Obtain the index data of the difference set index at the next period data sampling time, record it as the sub-period index data, and obtain the continuous change pattern based on the data change trend from the index data of the current difference set index to the sub-period index data after governance; If the continuous change pattern is the same as the qualified change pattern, then the difference set indicator is determined to be stable; if the continuous change pattern is different from the qualified change pattern, then the difference set indicator is determined to be unstable.

10. A comprehensive evaluation system for the treatment effect of saline-alkali land, characterized in that: include: A state judgment module (100): obtaining a treatment plan for saline-alkali land, obtaining treatment indicators for saline-alkali land according to the treatment plan, obtaining evaluation indicators for saline-alkali land during the treatment period according to evaluation indicators for saline-alkali land, obtaining evaluation indicator data and treatment indicator data for saline-alkali land before and after treatment, and judging whether the current state of the saline-alkali land after treatment is qualified according to the evaluation indicator data; Data analysis module (200): if the current state of the saline-alkali land is unqualified, an unqualified evaluation result is output; if the current state of the saline-alkali land is qualified, the evaluation index data of the saline-alkali land after treatment is obtained, and the evaluation index that has changed relative to the evaluation index before treatment is recorded as the change index; according to the matching relationship between the treatment index and the change index, the stability of the saline-alkali land is determined; Treatment evaluation module (300): If the saline-alkali land is stable, the treatment effect of the saline-alkali land is determined to be qualified; if the saline-alkali land is not stable, the treatment effect of the saline-alkali land is determined to be unqualified.

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