Water-saving irrigation system, method and equipment based on concealed pipe drainage

Abstract

The invention relates to the technical field of monitoring and adjusting, and particularly discloses a water-saving irrigation system, method and equipment based on concealed pipe drainage. The system comprises a farmland irrigation water quality reference evaluation value comparison module, a farmland irrigation water quality compensation evaluation value comparison module, a farmland irrigation water quality real-time monitoring module, a farmland irrigation water quality compensation scheme comparison module and a farmland water-saving adjustment module, the problems that the prior art bureau is limited to directly monitor the water quality discharged from each water seepage underground pipe water outlet to a water well, and the influence of the use state of each water seepage underground pipe on water quality monitoring and water saving is neglected are solved; the influence of the amount of water, which is monitored by a flow meter and flows out of a water outlet of each water seepage concealed pipe to a water well, on the adjustment of unqualified farmland irrigation water quality and water saving is not considered, so that better irrigation management service can be provided for the farmland, and the unqualified water quality can be adjusted in a targeted manner; and the water-saving regulation and management level of farmland irrigation water quality is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring and regulation, and particularly to a water-saving irrigation system, method and device based on subsurface drainage. Background Art

[0002] Subsurface drainage technology is a kind of farmland drainage technology introduced into China in the 1870s. The initial purpose of the introduction was to control waterlogging and soil salinization by installing a subsurface pipe system. Over the past forty or fifty years, through the research and improvement of Chinese scientific research and engineering and technical personnel, a complete set of engineering technologies suitable for the improvement of saline-alkali land in China has gradually taken shape and has been applied on a large scale in areas such as Xinjiang, Ningxia and the Yellow River Delta. After the implementation of the subsurface pipe alkali improvement project, the salts in the soil dissolve in the infiltrating water and are discharged through the subsurface pipes. The soil salt content is significantly reduced, and the groundwater level is also lowered through the subsurface pipes to inhibit the return of alkali, thus fundamentally solving the problem of soil salinity hazards. With the development of agricultural modernization, precision agriculture has become the trend of agricultural development. The water-saving irrigation system based on subsurface drainage can realize the real-time monitoring and regulation of irrigation water quality, provide accurate irrigation water quality for crops, and improve the production efficiency of farmland. With the continuous progress of information technology and sensing technology, intelligent agricultural technology has been widely applied. The water-saving irrigation system based on subsurface drainage can combine sensors, data acquisition systems and intelligent control algorithms to realize the intelligent monitoring and water-saving regulation of irrigation water quality.

[0003] For example, the invention patent with the publication number of CN112946227B discloses a water quality monitoring system and a water quality monitoring method. The water quality monitoring system includes: a meteorological parameter acquisition module, a water quality parameter acquisition module, a data storage module, a main control module and a data analysis module; the meteorological parameter acquisition module is used to acquire meteorological parameters and store the acquired meteorological parameters in the data storage module; the water quality parameter acquisition module is used to acquire water quality parameters and store the acquired water quality parameters in the data storage module; the data storage module outputs the meteorological parameters and the water quality parameters to the main control module; the main control module judges whether the water quality parameters are abnormal according to the water quality parameters and the preset water quality parameters, and outputs the meteorological parameters corresponding to the current water quality parameters to the data analysis module when the water quality parameters are abnormal; the data analysis module judges the reason for the water quality abnormality according to the meteorological parameters output by the main control module and the meteorological parameters stored in the data storage module. This water quality monitoring system can improve the accuracy of the water quality monitoring system.

[0004] At present, there are still some deficiencies in the research on a water-saving irrigation system, method and equipment based on subsurface pipe drainage. Specifically, the existing technology is limited to directly monitoring the water quality flowing out of each subsurface pipe drainage outlet to the well for discharge, ignoring the impact of the usage status of each subsurface pipe in the farmland on water quality monitoring, and not considering the impact of the water volume flowing out of each subsurface pipe drainage outlet to the well monitored by the flowmeter on the adjustment of unqualified farmland irrigation water quality. If there are problems such as water leakage, seepage or pipeline aging inside the farmland, it will lead to changes in irrigation water quality, affecting the growth of crops and the health of the soil. The water volume flowing out of each subsurface pipe drainage outlet to the well monitored by the flowmeter is an important reference index for adjusting irrigation water quality, but this factor is often not considered in the existing technology. If the unqualified irrigation water volume is too much or too little, it will have an adverse impact on farmland irrigation water quality, affecting the growth and yield of crops and unable to achieve the effect of water conservation. Summary of the Invention

[0005] Aiming at the deficiencies of the existing technology, the present invention provides a water-saving irrigation system, method and equipment based on subsurface pipe drainage, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: In the first aspect of the present invention, a water-saving irrigation system based on subsurface pipe drainage is provided, including a farmland irrigation water quality reference evaluation value comparison module, a farmland irrigation water quality compensation evaluation value comparison module, a farmland irrigation water quality real-time monitoring module, a farmland irrigation water quality compensation plan comparison module and a farmland water-saving adjustment module. Among them: The farmland irrigation water quality reference evaluation value comparison module is used to obtain the type of crops cultivated in the farmland and compare to obtain the farmland irrigation water quality reference evaluation value corresponding to the type of crops cultivated in the farmland; The farmland irrigation water quality compensation evaluation value comparison module is used to obtain the dataset of the usage status of each subsurface pipe in the farmland, and based on the obtained dataset of the usage status of each subsurface pipe in the farmland, compare to obtain the farmland irrigation water quality compensation evaluation value; The farmland irrigation water quality real-time monitoring module is used to obtain the dataset of the status of farmland irrigation water quality element indicators, and based on the obtained dataset of the status of farmland irrigation water quality element indicators, combine the farmland irrigation water quality compensation evaluation value and the farmland irrigation water quality reference evaluation value to conduct real-time evaluation of the farmland irrigation water quality and issue a reminder for the screened unqualified farmland irrigation water quality; The farmland irrigation water quality compensation plan comparison module is used to monitor the water volume flowing out of each subsurface pipe drainage outlet to the well through a flowmeter, and compare to obtain the adjustment frequency and compensation plan for unqualified farmland irrigation water quality; The farmland water-saving adjustment module is used to couple meteorological data, soil moisture and crop water demand characteristics with the water volume flowing out of each subsurface pipe drainage outlet to the well to achieve farmland water-saving adjustment.

[0007] As a further method, obtain the crop types cultivated in the farmland, and compare to obtain the reference evaluation value of the farmland irrigation water quality corresponding to the crop types cultivated in the farmland. The specific analysis process is as follows: Obtain the crop types cultivated in the farmland, set the crop types cultivated in the farmland as specified labels, compare the specified labels with the reference evaluation values of the farmland irrigation water quality corresponding to each specified label stored in the database, and obtain the reference evaluation value of the farmland irrigation water quality corresponding to the crop types cultivated in the farmland. The reference evaluation value of the farmland irrigation water quality is used as the analysis basis for real-time evaluation of the farmland irrigation water quality.

[0008] As a further method, obtain the dataset of the usage status of each seepage pipe in the farmland. Based on the obtained dataset of the usage status of each seepage pipe in the farmland, compare to obtain the compensation evaluation value of the farmland irrigation water quality. The specific analysis process is as follows: Obtain the dataset of the usage status of each seepage pipe in the farmland. The dataset of the usage status of each seepage pipe in the farmland specifically includes the service life of each seepage pipe in the farmland, the maximum thickness of the water scale on the wall of each seepage pipe in the farmland, and the proportion of the defective area of each seepage pipe in the farmland. Based on the obtained dataset of the usage status of each seepage pipe in the farmland, comprehensively analyze to obtain the evaluation value of the usage status of the farmland seepage pipe. The evaluation value of the usage status of the farmland seepage pipe is used as the analysis basis for comparing to obtain the compensation evaluation value of the farmland irrigation water quality. Compare the evaluation value of the usage status of the farmland seepage pipe with the compensation evaluation value of the farmland irrigation water quality corresponding to each evaluation value of the usage status of the farmland seepage pipe stored in the database, and obtain the compensation evaluation value of the farmland irrigation water quality corresponding to the evaluation value of the usage status of the farmland seepage pipe.

[0009] As a further method, for the evaluation value of the usage status of the farmland seepage pipe, the specific analysis process is as follows:

[0010]

[0011] In the formula, δ is the evaluation value of the usage status of the farmland seepage pipe, NX j is the service life of each seepage pipe in the farmland, GH j is the maximum thickness of the water scale on the wall of each seepage pipe in the farmland, QB j is the proportion of the defective area of each seepage pipe in the farmland, QB0 is the defined defective area proportion of the farmland seepage pipe stored in the database, j is the number of each seepage pipe in the farmland, j = 1, 2, 3,..., q, and q is the total number of seepage pipes in the farmland.

[0012] As a further method, the dataset of the status of the elemental indicators of the farmland irrigation water quality specifically includes the status data of the chemical elemental indicators of the farmland irrigation water quality and the status data of the biological elemental indicators of the farmland irrigation water quality. Among them, the status data of the chemical elemental indicators of the farmland irrigation water quality includes the pH value of the farmland irrigation water quality, the chloride content of the farmland irrigation water quality, and the total salt content of the farmland irrigation water quality. The status data of the biological elemental indicators of the farmland irrigation water quality includes the number of fecal coliforms in the farmland irrigation water quality and the number of Ascaris eggs in the farmland irrigation water quality.

[0013] As a further method, based on the obtained dataset of the status of farmland irrigation water quality element indicators, combining the compensation evaluation value and the reference evaluation value of farmland irrigation water quality, the farmland irrigation water quality is evaluated in real time, and a reminder is sent for the screened unqualified farmland irrigation water quality. The specific analysis process is as follows: Based on the obtained status data of chemical element indicators of farmland irrigation water quality, status data of biological element indicators of farmland irrigation water quality, and the compensation evaluation value of farmland irrigation water quality, the evaluation value of farmland irrigation water quality is comprehensively analyzed. The evaluation value of farmland irrigation water quality serves as the analysis basis for the real-time evaluation of farmland irrigation water quality;

[0014] The evaluation value of farmland irrigation water quality, the specific analysis process is as follows:

[0015]

[0016] In the formula, ω is the evaluation value of farmland irrigation water quality, ω1 is the evaluation value of the status of chemical element indicators of farmland irrigation water quality, ω2 is the evaluation value of the status of biological element indicators of farmland irrigation water quality, μ1 is the compensation factor for the evaluation value of the status of chemical element indicators of farmland irrigation water quality, μ2 is the compensation factor for the evaluation value of the status of biological element indicators of farmland irrigation water quality, PB is the compensation evaluation value of farmland irrigation water quality, and e is the natural constant;

[0017] The evaluation value of farmland irrigation water quality is compared with the reference evaluation value of farmland irrigation water quality to evaluate the farmland irrigation water quality in real time and screen out unqualified farmland irrigation water quality; if the evaluation value of farmland irrigation water quality is higher than or equal to the reference evaluation value of farmland irrigation water quality, the farmland irrigation water quality corresponding to this evaluation value of farmland irrigation water quality is marked as qualified farmland irrigation water quality; if the evaluation value of farmland irrigation water quality is lower than the reference evaluation value of farmland irrigation water quality, the farmland irrigation water quality corresponding to this evaluation value of farmland irrigation water quality is marked as unqualified farmland irrigation water quality, and an unqualified reminder is sent for the unqualified farmland irrigation water quality.

[0018] As a further method, the water volume flowing out from each seepage drain outlet to the well for discharge is monitored by a flowmeter, and the adjustment frequency and compensation plan for unqualified farmland irrigation water quality are obtained through comparison. The specific analysis process is as follows: The water volume flowing out from each seepage drain outlet to the well for discharge is monitored by a flowmeter to obtain the water volume flowing out from each seepage drain outlet to the well for discharge, and the water volume flowing out from each seepage drain outlet corresponding to the unqualified farmland irrigation water quality and the farmland irrigation water quality evaluation value corresponding to the unqualified farmland irrigation water quality are extracted; The water volume flowing out from each seepage drain outlet corresponding to the unqualified farmland irrigation water quality and the farmland irrigation water quality evaluation value corresponding to the unqualified farmland irrigation water quality are set as designated labels, and the designated labels are compared with the adjustment frequency and compensation plan for unqualified farmland irrigation water quality corresponding to each designated label stored in the database to obtain the adjustment frequency and compensation plan for unqualified farmland irrigation water quality corresponding to the unqualified farmland irrigation water quality, and the unqualified farmland irrigation water quality is adjusted based on the obtained adjustment frequency and compensation plan for unqualified farmland irrigation water quality corresponding to the unqualified farmland irrigation water quality.

[0019] As a further method, coupling meteorological data, soil moisture conditions and crop water demand characteristics with the water volume flowing out from each seepage drain outlet to the well for discharge to achieve farmland water-saving adjustment. The specific analysis process is as follows: Collect the predicted value of farmland rainfall, the current soil moisture content in the root layer and the actual evapotranspiration of crops; Obtain the benchmark water volume for farmland irrigation; Combine the water volume flowing out from each seepage drain outlet to the well for discharge to establish a multi-factor collaborative water-saving model:

[0020]

[0021] In the formula, I new is the multi-factor collaborative water-saving signal, Q opt is the water volume flowing out from each seepage drain outlet to the well for discharge, R per is the predicted value of farmland rainfall, cuur is the current soil moisture content in the root layer, and ET is the actual evapotranspiration of crops;

[0022] Set the multi-factor collaborative water-saving signal and the farmland irrigation water quality evaluation value as designated labels, search for the mapping set of designated label - farmland water-saving adjustment plan stored in the database, and based on the designated labels, find the matching farmland water-saving adjustment plan; Based on the matching farmland water-saving adjustment plan, achieve farmland water-saving adjustment.

[0023] The second aspect of the present invention provides a water-saving irrigation method based on subsurface pipe drainage, comprising the following steps: obtaining the type of crops cultivated in the farmland, and comparing to obtain the reference evaluation value of the irrigation water quality corresponding to the type of crops cultivated in the farmland; obtaining the dataset of the usage status of each subsurface pipe in the farmland, and comparing based on the obtained dataset of the usage status of each subsurface pipe in the farmland to obtain the compensation evaluation value of the irrigation water quality; obtaining the dataset of the status of the elemental indicators of the irrigation water quality, and based on the obtained dataset of the status of the elemental indicators of the irrigation water quality, combining the compensation evaluation value of the irrigation water quality and the reference evaluation value of the irrigation water quality, conducting real-time evaluation of the irrigation water quality, and sending a reminder for the unqualified irrigation water quality screened out; monitoring the water volume flowing out from the drainage outlets of each subsurface pipe to the water well through a flowmeter, and comparing to obtain the adjustment frequency and compensation plan for the unqualified irrigation water quality; coupling meteorological data, soil moisture and crop water demand characteristics with the water volume flowing out from the drainage outlets of each subsurface pipe to the water well to achieve water-saving adjustment of the farmland.

[0024] The third aspect of the present invention provides a water-saving irrigation device based on subsurface pipe drainage, comprising a processor, a memory and a network interface connected to the processor. The network interface is connected to the non-volatile memory in the server. When running, the processor retrieves a computer program from the non-volatile memory through the network interface and runs the computer program through the memory.

[0025] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) By providing a water-saving irrigation system, method and device based on subsurface pipe drainage, considering the influence of the usage status of each subsurface pipe in the farmland on water quality monitoring, the stability and quality of irrigation water are ensured. By considering the influence of the usage status of each subsurface pipe in the farmland, the system can more comprehensively monitor the irrigation water quality, accurately grasp the changes in the irrigation water quality, and provide more accurate water quality monitoring and adjustment services for the farmland. Combining the usage status information of each subsurface pipe in the farmland, the system can formulate a more scientific and reasonable irrigation adjustment strategy, timely adjust the unqualified farmland irrigation according to the actual situation, ensure the normal growth and yield of crops, can more comprehensively monitor and adjust the farmland irrigation, improve the efficiency and reliability of the system, and provide better irrigation management services for the farmland.

[0026] (2) Through the dataset of the elemental index status of farmland irrigation water quality, by combining the compensation evaluation value and the reference evaluation value of farmland irrigation water quality, the present invention can conduct real-time evaluation of farmland irrigation water quality and issue a reminder for the screened unqualified farmland irrigation water quality. By combining various elemental index status datasets of water quality, the system can monitor and evaluate the situation of farmland irrigation water quality in real time. By setting the compensation evaluation value and the reference evaluation value, the system can improve the accuracy and precision of irrigation water quality management. The system can screen out unqualified farmland irrigation water quality according to the real-time evaluation results and issue a reminder in a timely manner to notify the relevant responsible personnel for handling, avoiding adverse effects of unqualified water quality on crop growth and soil health, and improving the efficiency of farmland irrigation water quality management and timely handling of unqualified water quality problems.

[0027] (3) By considering the impact of the water volume flowing out from each seepage drain outlet monitored by the flowmeter to the well discharge on the regulation of unqualified farmland irrigation water quality, the present invention can monitor the discharge situation of irrigation water quality in real time, helping the system understand the actual situation of farmland irrigation. According to the data monitored by the flowmeter, the system can regulate unqualified farmland irrigation water quality. By monitoring the discharge volume, the system can more accurately understand the actual situation of farmland irrigation, regulate the water quality targetedly and achieve water conservation in farmland irrigation, improving the accuracy and effectiveness of regulation and the level of farmland irrigation management. Description of the Drawings

[0028] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention.

[0029] Figure 2 It is a schematic diagram of the flow of the method steps of the present invention.

[0030] Figure 3 It is an image of the evaluation value of the biological elemental index status of farmland irrigation water quality changing with the number of fecal coliforms in farmland irrigation water quality. Detailed Embodiments

[0031] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0032] Referring to Figure 1 As shown, the first aspect of the present invention provides a water-saving irrigation system based on subsurface drainage, including a comparison module for the reference evaluation value of farmland irrigation water quality, a comparison module for the compensation evaluation value of farmland irrigation water quality, a real-time monitoring module for farmland irrigation water quality, a comparison module for the compensation scheme of farmland irrigation water quality, and a farmland water-saving regulation module.

[0033] The farmland irrigation water quality reference evaluation value comparison module is used to obtain the types of crops cultivated in the farmland and compare to obtain the farmland irrigation water quality reference evaluation value corresponding to the types of crops cultivated in the farmland.

[0034] Specifically, to obtain the types of crops cultivated in the farmland and compare to obtain the farmland irrigation water quality reference evaluation value corresponding to the types of crops cultivated in the farmland, the specific analysis process is as follows: Obtain the types of crops cultivated in the farmland, set the types of crops cultivated in the farmland as designated labels, and compare the designated labels with the farmland irrigation water quality reference evaluation values corresponding to each designated label stored in the database to obtain the farmland irrigation water quality reference evaluation value corresponding to the types of crops cultivated in the farmland. The farmland irrigation water quality reference evaluation value serves as the analysis basis for real-time evaluation of the farmland irrigation water quality.

[0035] In a specific embodiment, different types of crops have different requirements for irrigation water quality. By comparing the types of crops cultivated in the farmland with the corresponding reference evaluation values, personalized evaluation can be achieved, ensuring that the irrigation water quality meets the needs of specific crops, and adjusting and managing it targeted. Through the farmland irrigation water quality reference evaluation value obtained by comparison, the system can more accurately evaluate the current farmland irrigation water quality situation, compare it with the standard value, promptly discover unqualified water quality and take corresponding measures, improving the accuracy of evaluation. By setting the types of crops cultivated in the farmland and obtaining the corresponding reference evaluation values, the system can automatically conduct comparative analysis, reducing manual intervention and misjudgment, improving management efficiency, ensuring the timeliness and accuracy of farmland irrigation water quality management. According to the requirements of different crop types, the system can formulate corresponding irrigation water quality management strategies based on the reference evaluation values, adjust the parameters of the irrigation water quality, optimize the irrigation plan, and improve the yield and quality of farmland crops.

[0036] The farmland irrigation water quality compensation evaluation value comparison module is used to obtain the dataset of the usage status of each seepage pipe in the farmland and, based on the obtained dataset of the usage status of each seepage pipe in the farmland, compare to obtain the farmland irrigation water quality compensation evaluation value.

[0037] Furthermore, obtain the dataset of the usage status of each seepage pipe in the farmland. Based on the obtained dataset of the usage status of each seepage pipe in the farmland, compare and obtain the evaluation value of the farmland irrigation water quality compensation. The specific analysis process is as follows: Obtain the dataset of the usage status of each seepage pipe in the farmland. The dataset of the usage status of each seepage pipe in the farmland specifically includes the service life of each seepage pipe in the farmland, the maximum thickness of the water scale on the wall of each seepage pipe in the farmland, and the proportion of the defective area of each seepage pipe in the farmland. The service life of each seepage pipe in the farmland refers to the length of time the seepage pipe is used in the farmland irrigation system. This parameter can be used to evaluate the aging degree and service life of the seepage pipe, and understand when replacement or repair is needed to ensure the normal operation and efficiency of the system. The maximum thickness of the water scale on the wall of each seepage pipe in the farmland refers to the maximum thickness of the water scale on the wall of the seepage pipe. The water scale refers to the hard water scale or other impurities deposited on the pipe wall, which will affect the water flow and penetration performance. Monitoring the water scale thickness can help evaluate the cleanliness and operation status of the pipeline, and clean or handle the water scale problem in time. The proportion of the defective area of each seepage pipe in the farmland refers to the ratio of the area with defects or damages on the surface of the seepage pipe to the total area. This parameter can be used to evaluate the integrity and damage degree of the seepage pipe, understand the health status of the pipeline system, and repair or replace the problematic parts in time to ensure the normal operation of the irrigation system and the water quality. Based on the obtained dataset of the usage status of each seepage pipe in the farmland, comprehensively analyze to obtain the evaluation value of the usage status of the farmland seepage pipe. The evaluation value of the usage status of the farmland seepage pipe is used as the analysis basis for comparing and obtaining the evaluation value of the farmland irrigation water quality compensation. Compare the evaluation value of the usage status of the farmland seepage pipe with the evaluation value of the farmland irrigation water quality compensation corresponding to the evaluation value of the usage status of each farmland seepage pipe stored in the database to obtain the evaluation value of the farmland irrigation water quality compensation corresponding to the evaluation value of the usage status of the farmland seepage pipe.

[0038] In a specific embodiment, as the service life of the seepage pipe increases, scale will gradually accumulate inside the pipe, and the thickness of the scale on the pipe wall may gradually increase. Long-term use will cause the pipeline material to age, increasing the possibility of pipeline defects, thus gradually increasing the proportion of the defective area. The presence of scale will increase the frictional resistance inside the pipeline, reduce the water flow efficiency, and make the pipeline more vulnerable to damage. The increase in the thickness of the scale may lead to an increase in the internal pressure of the pipeline, exacerbating the damage to the pipeline, thereby increasing the proportion of the defective area. As the service life increases and the scale on the pipe wall accumulates, the health status of the pipeline may gradually deteriorate, resulting in an increase in the proportion of the defective area. Monitoring and evaluating the changing trends of these three parameters can help detect pipeline problems in a timely manner, take maintenance and repair measures, extend the service life of the pipeline, and ensure the normal operation of the irrigation system.

[0039] In a specific embodiment, the evaluation value obtained through comprehensive analysis can more accurately reflect the actual usage status of the seepage pipe, which helps to promptly detect problems and take corresponding measures. The obtained irrigation water quality compensation evaluation value can assist farm managers in optimizing decisions, adjusting irrigation water quality compensation measures according to the pipeline status, improving irrigation efficiency and water quality. By promptly maintaining and replacing problematic seepage pipes, resource waste can be reduced, the service life of the system can be extended, and the sustainability and benefits of the farm irrigation system can be improved.

[0040] In a specific embodiment, by considering the influence of the usage status of each seepage pipe in the farmland on water quality monitoring, the stability and quality of irrigation water quality are ensured. By considering the influence of the usage status of each seepage pipe in the farmland, the system can more comprehensively monitor irrigation water quality, accurately grasp the changes in irrigation water quality, and provide more accurate water quality monitoring and adjustment services for the farmland. Combining the usage status information of each seepage pipe in the farmland, the system can formulate a more scientific and reasonable irrigation water quality adjustment strategy, promptly adjust unqualified irrigation water quality according to the actual situation, ensure the normal growth and yield of crops, can more comprehensively monitor and adjust irrigation water quality, improve the efficiency and reliability of the system, and provide better irrigation water quality management services for the farmland.

[0041] It should be noted that the above-mentioned evaluation value of the usage status of the farmland seepage pipe can not only be further analyzed through a machine learning integration model. Using a random forest, the prediction results of multiple basic models are combined to obtain a more accurate evaluation value of the usage status of the farmland seepage pipe, but also can be calculated through the following method. The calculation formula for the evaluation value of the usage status of the farmland seepage pipe is:

[0042]

[0043] In the formula, δ is the evaluation value of the usage status of the farmland seepage pipe, NX j is the service life of each seepage pipe in the farmland, GH j is the maximum thickness of the water scale on the pipe wall of each seepage pipe in the farmland, QB j is the proportion of the defective area of each seepage pipe in the farmland, QB0 is the defined defective area proportion of the farmland seepage pipe stored in the database, j is the number of each seepage pipe in the farmland, j = 1, 2, 3,..., q, and q is the total number of seepage pipes in the farmland.

[0044] It should be noted that the above evaluation value of the usage status of the subsurface drainage pipes in farmland is calculated based on the service life of each subsurface drainage pipe in the farmland, the maximum thickness of the water scale on the pipe wall of each subsurface drainage pipe in the farmland, and the proportion of the defective area of each subsurface drainage pipe in the farmland. By comprehensively considering factors such as the service life of each subsurface drainage pipe in the farmland, the maximum thickness of the water scale on the pipe wall of each subsurface drainage pipe in the farmland, and the proportion of the defective area of each subsurface drainage pipe in the farmland, the usage status of the subsurface drainage pipes can be evaluated more comprehensively. Such a comprehensive evaluation can more accurately reflect the actual condition of the pipes, which helps to detect problems in a timely manner. The comprehensive consideration of different factors can improve the early warning ability of the pipe status. For example, even if the service life of a certain pipe may not be very long, but if there is serious water scale or a large area of defects, it may also affect the seepage effect or cause the pipe to burst. Therefore, the comprehensive consideration of multiple factors can help to detect problems more timely, take corresponding maintenance or replacement measures. Understanding the overall condition of the pipes can help to formulate a reasonable maintenance plan. Different problems may require different treatment methods and time arrangements. The comprehensive consideration of multiple factors can arrange the maintenance work more effectively and improve the maintenance efficiency. By comprehensively evaluating the pipe status, it is possible to more accurately determine which pipes need to be repaired or replaced, avoiding unnecessary investment in pipes that do not need to be repaired, thus saving resources and funds. Timely detection of pipe problems and maintenance can effectively extend the service life of the pipes, reduce the frequent replacement and repair caused by pipe aging or damage, and improve the reliability and stability of the farmland subsurface drainage system. The service life can be obtained by recording the installation date of each subsurface drainage pipe and the regular maintenance records. According to the installation date and maintenance situation, the service life of each subsurface drainage pipe can be calculated. The maximum thickness of the water scale on the pipe wall usually requires regular inspection and cleaning. Professional equipment is used to measure the thickness of the water scale on the pipe wall and record the data of the maximum thickness. The proportion of the defective area can be obtained by regularly inspecting the condition of the subsurface drainage pipes. Each subsurface drainage pipe is inspected, the area of the defective part is recorded, and its proportion to the overall pipe surface is calculated. Information such as the defined proportion of the defective area of the subsurface drainage pipes in the farmland can be recorded and stored through a dedicated database management system. Corresponding fields are established in the database to record data such as the service life of each subsurface drainage pipe, the maximum thickness of the water scale on the pipe wall, and the proportion of the defective area.

[0045] The real-time monitoring module for farmland irrigation water quality is used to obtain the dataset of the status of farmland irrigation water quality element indicators. Based on the obtained dataset of the status of farmland irrigation water quality element indicators, combined with the farmland irrigation water quality compensation evaluation value and the farmland irrigation water quality reference evaluation value, the farmland irrigation water quality is evaluated in real time, and a reminder is issued for the screened unqualified farmland irrigation water quality.

[0046] Specifically, the dataset of the elemental index status of farmland irrigation water quality specifically includes the status data of chemical elemental indicators and biological elemental indicators of farmland irrigation water quality. Among them, the status data of chemical elemental indicators of farmland irrigation water quality includes the pH value of farmland irrigation water, the chloride content of farmland irrigation water, and the total salt content of farmland irrigation water. The pH value is an indicator used to represent the acidity and alkalinity of water bodies, usually within the range of 0-14. 7 indicates neutrality, less than 7 is acidic, and greater than 7 is alkaline. For irrigation water quality, changes in the pH value will affect the acidity and alkalinity of the soil, and thus affect the growth of plants and their ability to absorb nutrients. Chloride is a common inorganic salt, and its content will directly affect the salinity of irrigation water quality and the concentration of dissolved substances. Irrigation water with a high chloride content may have a negative impact on plant growth. Therefore, it is necessary to control the chloride content within an appropriate range. The total salt content refers to the total amount of all inorganic salts dissolved in water. High-salt water will cause soil salinization, affecting the growth and development of plants. Therefore, it is necessary to control the total salt content of irrigation water and keep it within the range acceptable to plants. The status data of biological elemental indicators of farmland irrigation water quality includes the number of fecal coliforms in farmland irrigation water and the number of Ascaris eggs in farmland irrigation water. The number of fecal coliforms refers to the number of bacteria of fecal origin present in a certain volume of water sample. These bacteria usually come from human or animal feces. A high number of fecal coliforms may indicate fecal contamination in the water quality and the risk of pathogenic bacteria. The number of Ascaris eggs refers to the number of Ascaris eggs present in a certain volume of water sample. A high number of Ascaris eggs may indicate the presence of Ascaris eggs in the water quality, which may pose a hazard to human or animal health, especially in drinking water or irrigation water.

[0047] It should be explained that water with a low pH value is more likely to dissolve chloride. Therefore, the chloride content may be relatively high in acidic water quality. Water with a high chloride content may cause soil salinization, and then affect the pH value of the soil, making it acidic. Therefore, controlling the chloride content helps to maintain the pH value of irrigation water quality within an appropriate range. There is also a certain relationship between the pH value and the total salt content. High-salt water quality usually causes soil salinization, affecting the pH value of the soil and making it acidic. On the contrary, the salt content in the soil will also affect the pH value of the soil, making it acidic. Therefore, controlling the total salt content of irrigation water quality helps to maintain the pH value of the soil within an appropriate range. There is also a connection between the chloride content and the total salt content. Chloride is a component of the total salt content. Therefore, water with a high chloride content usually also has a high total salt content. High-salt water quality will affect the degree of soil salinization and the growth and development of plants. Therefore, controlling the chloride content in irrigation water quality helps to control the total salt content and maintain the appropriate state of the soil.

[0048] It should be noted that the above fecal coliform count and Ascaris egg count are both indicators used to evaluate whether there is fecal contamination and pathogenic parasite eggs in water quality. Generally, a high fecal coliform count may be accompanied by a high Ascaris egg count because both bacteria and parasite eggs may be present in water sources contaminated by feces. Therefore, monitoring the fecal coliform count and Ascaris egg count in farmland irrigation water quality can help evaluate the hygienic status of water quality and take timely measures to purify the water quality to ensure the safety of irrigation water for plants and the environment.

[0049] Furthermore, based on the obtained dataset of the status of farmland irrigation water quality element indicators, combined with the compensation evaluation value and reference evaluation value of farmland irrigation water quality, the farmland irrigation water quality is evaluated in real time, and a reminder is issued for the screened unqualified farmland irrigation water quality. The specific analysis process is as follows: Based on the obtained status data of chemical element indicators, biological element indicators of farmland irrigation water quality, and the compensation evaluation value of farmland irrigation water quality, the evaluation value of farmland irrigation water quality is comprehensively analyzed. The evaluation value of farmland irrigation water quality serves as the analysis basis for real-time evaluation of farmland irrigation water quality; the evaluation value of farmland irrigation water quality is compared with the reference evaluation value of farmland irrigation water quality to conduct real-time evaluation of farmland irrigation water quality and screen out unqualified farmland irrigation water quality; if the evaluation value of farmland irrigation water quality is higher than or equal to the reference evaluation value of farmland irrigation water quality, the farmland irrigation water quality corresponding to this evaluation value of farmland irrigation water quality is marked as qualified farmland irrigation water quality; if the evaluation value of farmland irrigation water quality is lower than the reference evaluation value of farmland irrigation water quality, the farmland irrigation water quality corresponding to this evaluation value of farmland irrigation water quality is marked as unqualified farmland irrigation water quality, and an unqualified reminder is issued for the unqualified farmland irrigation water quality.

[0050] It should be noted that based on the status data of chemical element indicators and biological element indicators of farmland irrigation water quality, combined with the compensation evaluation value of farmland irrigation water quality, the evaluation value of farmland irrigation water quality can be comprehensively analyzed. This evaluation value can reflect the comprehensive status of the current water quality, including indicators in multiple aspects such as chemical elements and biological elements. Issuing an unqualified reminder can help farmland managers timely understand the situation of unqualified irrigation water quality, avoid using unqualified water quality to damage crops, which helps ensure the growth and yield of crops, and at the same time reduces the negative impact on the environment. By reminding of unqualified farmland irrigation water quality, it can prompt farmland managers to take corresponding measures, such as finding other water sources, improving water quality, etc., to ensure the healthy growth of crops, thereby improving the efficiency and quality of agricultural production.

[0051] It should be noted that the above real-time assessment of farmland irrigation water quality is carried out by combining the state dataset of water quality element indicators for farmland irrigation, the compensation evaluation value of farmland irrigation water quality and the reference evaluation value of farmland irrigation water quality, and a reminder is issued for the screened unqualified farmland irrigation water quality. By combining various state datasets of water quality element indicators, the system can monitor and evaluate the situation of farmland irrigation water quality in real time. By setting the compensation evaluation value and the reference evaluation value, the system can improve the accuracy and precision of irrigation water quality management. The system can screen out unqualified farmland irrigation water quality according to the real-time evaluation results and issue a reminder in a timely manner to notify the relevant responsible personnel for handling, avoiding adverse effects of unqualified water quality on crop growth and soil health, and improving the efficiency of farmland irrigation water quality management and timely handling of unqualified water quality problems.

[0052] It should be noted that the above evaluation value of farmland irrigation water quality can not only be further analyzed through a machine learning integration model. By using integration methods such as Gradient Boosting Machine or random forest, the prediction results of multiple basic models are combined to obtain a more accurate evaluation value of farmland irrigation water quality. It can also be calculated in the following way. The calculation formula for the evaluation value of farmland irrigation water quality is:

[0053]

[0054] In the formula, ω is the evaluation value of farmland irrigation water quality, ω1 is the evaluation value of the state of chemical element indicators of farmland irrigation water quality, ω2 is the evaluation value of the state of biological element indicators of farmland irrigation water quality, μ1 is the compensation factor for the evaluation value of the state of chemical element indicators of farmland irrigation water quality set, μ2 is the compensation factor for the evaluation value of the state of biological element indicators of farmland irrigation water quality set, PB is the compensation evaluation value of farmland irrigation water quality, and e is the natural constant.

[0055] It should be noted that the above evaluation value of farmland irrigation water quality is calculated through the evaluation value of the chemical element index state of farmland irrigation water quality and the evaluation value of the biological element index state of farmland irrigation water quality. By comprehensively considering the chemical element index and the biological element index state of the water quality, the situation of farmland irrigation water quality can be evaluated more comprehensively. The chemical element index mainly reflects the chemical components in the water quality, while the biological element index reflects the impact of the water body on organisms. Comprehensive consideration can help to understand the water quality situation more comprehensively. The comprehensive evaluation value of the chemical element and biological element index states can more accurately reflect the impact of farmland irrigation water quality on crop growth and soil environment. Comprehensive evaluation can help to understand the impact degree of water quality on the farmland ecosystem more comprehensively. Through the comprehensive evaluation value, more targeted measures can be formulated to improve farmland irrigation water quality. Based on the comprehensive evaluation value of the chemical element and biological element index states, appropriate water quality treatment methods and management measures can be selected targeted. The comprehensive evaluation value provides scientific decision-making support for farmland managers. Based on the comprehensive evaluation value, managers can formulate reasonable irrigation plans, water quality management measures and farmland management strategies, which helps to achieve sustainable agricultural production.

[0056] It should be noted that the above evaluation value of the chemical element index state of farmland irrigation water quality can not only be further analyzed through a machine learning integrated model, using random forest or LightGBM to combine the prediction results of multiple basic models to obtain a more accurate evaluation value of the chemical element index state of farmland irrigation water quality, but also be calculated through the following method. The calculation formula for the evaluation value of the chemical element index state of farmland irrigation water quality is:

[0057]

[0058] In the formula, ω1 is the evaluation value of the chemical element index state of farmland irrigation water quality, PH is the PH value of farmland irrigation water quality, LH is the chloride content of farmland irrigation water quality, QY is the total salt content of farmland irrigation water quality, PH0 is the reference PH value of farmland irrigation water quality stored in the database, LH0 is the reference chloride content of farmland irrigation water quality stored in the database, QY0 is the reference total salt content of farmland irrigation water quality stored in the database, σ1 is the compensation factor for the PH value of farmland irrigation water quality set, σ2 is the compensation factor for the chloride content of farmland irrigation water quality set, and σ3 is the compensation factor for the total salt content of farmland irrigation water quality set.

[0059] It should be noted that the above evaluation values of the chemical element index status of farmland irrigation water quality are calculated from the pH value of farmland irrigation water quality, the chloride content of farmland irrigation water quality, and the total salt content of farmland irrigation water quality. The reference pH value of farmland irrigation water quality, the reference chloride content of farmland irrigation water quality, and the reference total salt content of farmland irrigation water quality stored in the database are the reference values for the crop types cultivated in this farmland. By considering the pH value, the impact of the acidity and alkalinity of the water quality on crop growth and soil environment can be evaluated, which helps to adjust the irrigation water quality in a timely manner. High contents of chloride and salt will have negative impacts on the soil and crops, including problems such as soil salinization and restricted plant growth. By considering these two indicators, the salinity and alkalinity of the water quality can be evaluated and measures can be taken for adjustment in a timely manner. Through the comprehensive evaluation of factors such as pH value, chloride content, and total salt content, the water quality treatment work can be guided. According to different evaluation values of the index status, appropriate water quality treatment methods can be selected, such as acid-base adjustment and salt removal, to improve the farmland irrigation water quality. By evaluating the chemical element index status of the water quality, water quality problems can be discovered in a timely manner and corresponding measures can be taken, which helps to improve the quality and stability of the farmland irrigation water quality. Improving the water quality can increase the absorption efficiency of crops, increase the yield, and at the same time reduce soil pollution and environmental risks, and can effectively protect the soil and environment. Reasonably controlling the salinity and acidity / alkalinity in the water quality can reduce the risk of soil salinization and protect the health of the soil ecosystem. The pH value is an indicator to measure the acidity and alkalinity of the water quality and can be directly measured at the sampling point by a water quality monitoring instrument such as a pH meter. Chloride is a common chemical substance in water and can be determined by a water quality monitoring instrument or a chemical analysis method. Usually, an ion chromatograph and other instruments can be used for the analysis of the chloride content. The total salt content is the content of total dissolved solids in water, including inorganic salts, organic substances, etc. The total salt content can be determined by an electrical conductivity instrument or a gravimetric method, etc. The electrical conductivity instrument can quickly measure the electrical conductivity of the water sample, and then the total salt content can be calculated through relevant formulas. The reference values of farmland irrigation water quality are usually determined according to relevant standards or guidelines. These standards or guidelines may be national or regional water quality standards, including requirements for parameters such as pH value, chloride content, and total salt content. Local water quality standard documents or relevant research materials can be referred to determine the reference values of farmland irrigation water quality. The compensation factors of farmland irrigation water quality are usually set to consider the impacts under different water quality conditions. The compensation factors can be determined according to the actual situation and expert experience, or obtained through field investigations and experiments. Generally speaking, the compensation factors can be set according to factors such as the characteristics of farmland irrigation water quality, soil conditions, and crop requirements.

[0060] It should be noted that the above-mentioned evaluation value of the biological element index of farmland irrigation water quality can not only be further analyzed through a machine learning integrated model. By using LightGBM, the prediction results of multiple basic models are combined to obtain a more accurate evaluation value of the biological element index of farmland irrigation water quality. It can also be calculated through the following method. The calculation formula for the evaluation value of the biological element index of farmland irrigation water quality is:

[0061]

[0062] In the formula, ω2 is the evaluation value of the biological element index of farmland irrigation water quality, QJN is the number of fecal coliforms in farmland irrigation water quality, HC is the number of Ascaris eggs in farmland irrigation water quality, τ1 is the compensation factor for the number of fecal coliforms in farmland irrigation water quality set, and τ2 is the compensation factor for the number of Ascaris eggs in farmland irrigation water quality set.

[0063] It should be noted that the above-mentioned evaluation value of the biological element index of farmland irrigation water quality is calculated through the number of fecal coliforms and the number of Ascaris eggs in farmland irrigation water quality. By comprehensively considering factors such as the number of fecal coliforms and the number of Ascaris eggs in farmland irrigation water quality, the impact of irrigation water quality on the farmland ecological environment and human health can be evaluated more comprehensively. This helps to timely discover potential health risks and ensure the health and safety of farmland crop growth. By comprehensively considering biological element indexes, the impact of farmland irrigation water quality on the surrounding environment can be better monitored. High levels of fecal coliforms and Ascaris eggs may lead to soil and water source pollution, thus affecting the balance and stability of the ecosystem. Timely discovery and solution of these problems are crucial for environmental protection. The quality of irrigation water directly affects the quality and yield of farmland production. By comprehensively considering biological element indexes, the applicability and safety of irrigation water quality can be better evaluated, ensuring the growth and development of farmland crops, improving yield and quality. Multiple biological element indexes can provide a scientific decision-making basis for farmland management departments and farmers. Based on the comprehensive water quality evaluation results, corresponding management measures and agricultural production plans can be formulated to ensure the farmland ecological environment and the quality of agricultural products. The monitoring of the number of fecal coliforms and Ascaris eggs also helps to prevent waterborne diseases. By comprehensively considering these indexes, measures can be taken in a timely manner to avoid water source pollution and reduce the risk of disease transmission caused by irrigation water quality problems. Rapid detection kits or portable detection devices can be used to quickly measure the concentration of microbial pollutants in water samples, including the number of fecal coliforms and Ascaris eggs. Experts can evaluate and adjust the compensation factor for the number of fecal coliforms in farmland irrigation water quality and the compensation factor for the number of Ascaris eggs in farmland irrigation water quality according to their experience and professional knowledge, especially for the setting of water quality standards and the determination of compensation factors under specific environmental conditions.

[0064] Such as Figure 3As shown, it is an image of the evaluation value of the biological element index of farmland irrigation water quality changing with the number of fecal coliforms in farmland irrigation water quality. The x-axis represents the number of fecal coliforms in farmland irrigation water quality, and the y-axis represents the evaluation value of the biological element index of farmland irrigation water quality, which can help intuitively understand how the number of fecal coliforms in farmland irrigation water quality affects the evaluation value of the biological element index of farmland irrigation water quality. The larger the number of fecal coliforms in farmland irrigation water quality, the smaller the evaluation value of the biological element index of farmland irrigation water quality, indicating that the state of the biological element index of farmland irrigation water quality is worse. Set the number of ascaris eggs in farmland irrigation water quality to remain unchanged at 15, the compensation factor of the number of fecal coliforms in farmland irrigation water quality to remain unchanged at 0.5, and the compensation factor of the number of ascaris eggs in farmland irrigation water quality to remain unchanged at 0.4. Only change the size of the number of fecal coliforms in farmland irrigation water quality. The example values of the number of fecal coliforms in farmland irrigation water quality are as follows:

[0065] Table 1: Example values of the number of fecal coliforms in farmland irrigation water quality in the evaluation value of the biological element index of farmland irrigation water quality

[0066] QJN (pcs) HC (pcs) <![CDATA[τ1]]> <![CDATA[τ2]]> <![CDATA[ω2]]> 15 15 0.5 0.4 0.2995 20 15 0.5 0.4 0.2971 25 15 0.5 0.4 0.2957

[0067] It should be noted that the larger the number of ascaris eggs in farmland irrigation water quality, the smaller the evaluation value of the biological element index of farmland irrigation water quality, indicating that the state of the biological element index of farmland irrigation water quality is worse. Set the number of fecal coliforms in farmland irrigation water quality to remain unchanged at 20, the compensation factor of the number of fecal coliforms in farmland irrigation water quality to remain unchanged at 0.5, and the compensation factor of the number of ascaris eggs in farmland irrigation water quality to remain unchanged at 0.4. Only change the size of the number of ascaris eggs in farmland irrigation water quality. The example values of the number of ascaris eggs in farmland irrigation water quality are as follows:

[0068] Table 1: Example values of the number of ascaris eggs in farmland irrigation water quality in the evaluation value of the biological element index of farmland irrigation water quality

[0069]

[0070]

[0071] The farmland irrigation water quality compensation plan comparison module is used to monitor the water volume flowing out from each seepage drain outlet to the well through a flowmeter, and compare to obtain the unqualified farmland irrigation water quality adjustment frequency and compensation plan.

[0072] Specifically, the water volume flowing out from each seepage drain outlet to the well for discharge is monitored by a flowmeter, and the adjustment frequency and compensation plan for unqualified farmland irrigation water quality are obtained through comparison. The specific analysis process is as follows: The water volume flowing out from each seepage drain outlet to the well for discharge is monitored by a flowmeter to obtain the water volume flowing out from each seepage drain outlet to the well for discharge. The water volume flowing out from each seepage drain outlet to the well for discharge corresponding to the unqualified farmland irrigation water quality and the farmland irrigation water quality evaluation value corresponding to the unqualified farmland irrigation water quality are extracted. The water volume flowing out from each seepage drain outlet to the well for discharge corresponding to the unqualified farmland irrigation water quality and the farmland irrigation water quality evaluation value corresponding to the unqualified farmland irrigation water quality are set as designated labels, and the designated labels are compared with the adjustment frequency and compensation plan for unqualified farmland irrigation water quality corresponding to each designated label stored in the database to obtain the adjustment frequency and compensation plan for unqualified farmland irrigation water quality corresponding to the unqualified farmland irrigation water quality. Based on the obtained adjustment frequency and compensation plan for unqualified farmland irrigation water quality corresponding to the unqualified farmland irrigation water quality, the unqualified farmland irrigation water quality is adjusted.

[0073] In a specific embodiment, by monitoring the water volume flowing out from each seepage drain outlet to the well for discharge through a flowmeter, accurate monitoring of the water volume can be achieved, ensuring the accuracy and reliability of the data. By comparing the water volume and evaluation value corresponding to the unqualified farmland irrigation water quality, areas or drain pipes with problems can be quickly identified and adjusted targeted. Setting the data corresponding to the unqualified water quality as designated labels is conducive to subsequent data processing and management, improving the operability and traceability of the data. Comparing the designated labels with the adjustment frequency and compensation plan stored in the database can intelligently select the most suitable adjustment plan, improving the efficiency and accuracy of the adjustment. Through the above steps, real-time monitoring and adjustment of the unqualified farmland irrigation water quality can be achieved, timely solving water quality problems, ensuring the stability and controllability of the farmland irrigation water quality. By precisely adjusting the water quality, unnecessary water resource waste can be reduced, improving the utilization efficiency of water resources, which is conducive to achieving sustainable development. Optimizing the farmland irrigation water quality can reduce pollution to the soil and ecological environment, protect the health of the ecosystem, and at the same time help improve the yield and quality of crops, promoting the sustainable development of agricultural production.

[0074] In a specific embodiment, by considering the impact of the water volume flowing out from each seepage drain outlet monitored by the flowmeter and discharged into the well on the adjustment of unqualified farmland irrigation water quality, the discharge situation of irrigation water quality can be monitored in real time, helping the system understand the actual situation of farmland irrigation water quality. According to the data monitored by the flowmeter, the system can adjust the unqualified farmland irrigation water quality. By monitoring the discharged water volume, the system can more accurately understand the actual situation of farmland irrigation water quality, targetedly adjust the unqualified water quality, improve the accuracy and effectiveness of the adjustment, and can also analyze the change trend of farmland irrigation water quality in different time periods, optimize the irrigation water quality management strategy, formulate a more scientific and reasonable adjustment plan, and improve the level of farmland irrigation water quality management.

[0075] Coupling meteorological data, soil moisture content, and crop water demand characteristics with the water volume flowing out from each seepage drain outlet and discharged into the well to achieve farmland water-saving adjustment. The specific analysis process is as follows: Collect the predicted value of farmland rainfall, the current soil moisture content in the root layer, and the actual evapotranspiration of the crop; Obtain the benchmark water volume for farmland irrigation; Combine the water volume flowing out from each seepage drain outlet and discharged into the well to establish a multi-factor collaborative water-saving model:

[0076]

[0077] In the formula, I new is the multi-factor collaborative water-saving signal, Q opt is the water volume flowing out from each seepage drain outlet and discharged into the well, R per is the predicted value of farmland rainfall, cuur is the current soil moisture content in the root layer, and ET is the actual evapotranspiration of the crop;

[0078] Set the multi-factor collaborative water-saving signal and the evaluation value of farmland irrigation water quality as specified tags, search for the mapping set of specified tag - farmland water-saving adjustment plan stored in the database, and based on the specified tags, find the matching farmland water-saving adjustment plan; Based on the matching farmland water-saving adjustment plan, achieve farmland water-saving adjustment.

[0079] In a specific embodiment, by coupling multi-factors such as meteorological data, soil moisture content, crop water demand characteristics, and drainage water volume to establish a model, it is possible to accurately adjust the irrigation water volume according to the actual needs of the farmland. This avoids the situation of over-irrigation or under-irrigation that may occur in traditional irrigation, thereby realizing the efficient utilization of water resources and achieving the purpose of saving water.

[0080] This method fully considers the water demand characteristics of the crop and can provide appropriate water supply according to the actual needs at different growth stages of the crop. This helps the growth and development of the crop roots, improves the crop's ability to absorb nutrients, thereby promoting the growth of the crop and improving the yield and quality of the crop.

[0081] Reasonable water-saving regulation can avoid soil nutrient loss and soil structure damage caused by over-irrigation. At the same time, appropriate soil moisture content helps to maintain the activity of microorganisms in the soil, promotes the decomposition of organic matter and the transformation of nutrients in the soil, thereby protecting the soil structure and fertility and realizing the sustainable use of farmland.

[0082] Through precise irrigation, unnecessary irrigation water is reduced, and the energy consumption and equipment operation cost during irrigation are lowered. At the same time, due to the good growth of crops, the losses caused by crop yield reduction and quality decline due to water shortage or improper irrigation are reduced.

[0083] Refer to Figure 2 As shown, the second aspect of the present invention provides a water-saving irrigation method based on subsurface drainage, including the following steps: obtaining the types of crops cultivated in the farmland, and comparing to obtain the reference evaluation value of the irrigation water quality corresponding to the types of crops cultivated in the farmland; obtaining the dataset of the usage status of each subsurface drainage pipe in the farmland, and based on the obtained dataset of the usage status of each subsurface drainage pipe in the farmland, comparing to obtain the compensation evaluation value of the irrigation water quality of the farmland; obtaining the dataset of the status of the elemental indicators of the irrigation water quality of the farmland, and based on the obtained dataset of the status of the elemental indicators of the irrigation water quality of the farmland, combining the compensation evaluation value of the irrigation water quality of the farmland with the reference evaluation value of the irrigation water quality of the farmland, conducting real-time evaluation of the irrigation water quality of the farmland, and sending a reminder for the screened unqualified irrigation water quality of the farmland; monitoring the water volume flowing out from the drainage outlets of each subsurface drainage pipe to the well through a flow meter, and comparing to obtain the adjustment frequency and compensation plan for the unqualified irrigation water quality of the farmland; coupling meteorological data, soil moisture and crop water demand characteristics with the water volume flowing out from the drainage outlets of each subsurface drainage pipe to the well to achieve water-saving regulation of the farmland.

[0084] The third aspect of the present invention provides a water-saving irrigation device based on subsurface drainage, including a processor, a memory and a network interface connected to the processor. The network interface is connected to the non-volatile memory in the server. When running, the processor retrieves a computer program from the non-volatile memory through the network interface and runs the computer program through the memory.

[0085] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of this technology make various modifications or supplements to the described specific embodiments or use similar methods for substitution. As long as they do not deviate from the structure of the invention or exceed the scope defined by this claim book, they should all fall within the protection scope of the present invention.

Claims

1. A water-saving irrigation system based on subsurface pipe drainage, characterized in that, It includes a comparison module for reference evaluation values of farmland irrigation water quality, a comparison module for compensation evaluation values of farmland irrigation water quality, a real-time monitoring module for farmland irrigation water quality, a comparison module for farmland irrigation water quality compensation schemes, and a farmland water-saving regulation module, where: The comparison module for reference evaluation values of farmland irrigation water quality is used to obtain the types of crops cultivated in the farmland and compare to obtain the reference evaluation values of farmland irrigation water quality corresponding to the types of crops cultivated in the farmland; The comparison module for compensation evaluation values of farmland irrigation water quality is used to obtain the dataset of the usage status of each seepage pipe in the farmland and, based on the obtained dataset of the usage status of each seepage pipe in the farmland, compare to obtain the compensation evaluation values of farmland irrigation water quality; The real-time monitoring module for farmland irrigation water quality is used to obtain the dataset of the status of farmland irrigation water quality element indicators, and based on the obtained dataset of the status of farmland irrigation water quality element indicators, combine the compensation evaluation values and reference evaluation values of farmland irrigation water quality to conduct a real-time evaluation of farmland irrigation water quality and send a reminder for the screened unqualified farmland irrigation water quality; The comparison module for farmland irrigation water quality compensation schemes is used to monitor the water volume flowing out from the drainage outlets of each seepage pipe to the wells through a flowmeter and compare to obtain the regulation frequency and compensation scheme for unqualified farmland irrigation water quality; The farmland water-saving regulation module is used to couple meteorological data, soil moisture, and crop water demand characteristics with the water volume flowing out from the drainage outlets of each seepage pipe to the wells to achieve farmland water-saving regulation.

2. The water-saving irrigation system based on subsurface pipe drainage according to claim 1, characterized in that: The process of obtaining the types of crops cultivated in the farmland and comparing to obtain the reference evaluation values of farmland irrigation water quality corresponding to the types of crops cultivated in the farmland is as follows: Obtain the types of crops cultivated in the farmland, set the types of crops cultivated in the farmland as designated labels, compare the designated labels with the reference evaluation values of farmland irrigation water quality corresponding to each designated label stored in the database, and obtain the reference evaluation values of farmland irrigation water quality corresponding to the types of crops cultivated in the farmland. The reference evaluation values of farmland irrigation water quality are used as the analysis basis for the real-time evaluation of farmland irrigation water quality.

3. The water-saving irrigation system based on subsurface pipe drainage according to claim 1, characterized in that: The process of obtaining the dataset of the usage status of each seepage pipe in the farmland and, based on the obtained dataset of the usage status of each seepage pipe in the farmland, comparing to obtain the compensation evaluation values of farmland irrigation water quality is as follows: Obtain the dataset of the usage status of each seepage pipe in the farmland. The dataset of the usage status of each seepage pipe in the farmland specifically includes the service life of each seepage pipe in the farmland, the maximum thickness of the water scale on the pipe wall of each seepage pipe in the farmland, and the proportion of the defective area of each seepage pipe in the farmland; Based on the obtained dataset of the usage status of each seepage pipe in the farmland, comprehensively analyze to obtain the evaluation value of the usage status of the farmland seepage pipes. The evaluation value of the usage status of the farmland seepage pipes is used as the analysis basis for comparing to obtain the compensation evaluation values of farmland irrigation water quality; Compare the evaluation value of the usage status of the farmland seepage pipes with the compensation evaluation values of farmland irrigation water quality corresponding to each evaluation value of the usage status of the farmland seepage pipes stored in the database to obtain the compensation evaluation values of farmland irrigation water quality corresponding to the evaluation value of the usage status of the farmland seepage pipes.

4. The water-saving irrigation system based on subsurface pipe drainage according to claim 3, characterized in that: The specific analysis process of the evaluation value of the usage status of the farmland seepage pipes is as follows: where δ is the evaluation value of the usage status of the subsurface drain pipes in farmland, NX j is the service life of each subsurface drain pipe in the farmland, GH j is the maximum thickness of the water scale on the pipe wall of each subsurface drain pipe in the farmland, QB j is the proportion of the defective area of each subsurface drain pipe in the farmland, QB0 is the proportion of the defined defective area of the subsurface drain pipes in the farmland stored in the database, j is the number of each subsurface drain pipe in the farmland, j = 1, 2, 3,..., q, and q is the total number of subsurface drain pipes in the farmland.

5. The water-saving irrigation system based on subsurface pipe drainage according to claim 1, wherein: The dataset of the elemental index status of farmland irrigation water quality specifically includes the status data of chemical elemental indices of farmland irrigation water quality and the status data of biological elemental indices of farmland irrigation water quality. Among them, the status data of chemical elemental indices of farmland irrigation water quality includes the pH value of farmland irrigation water quality, the chloride content of farmland irrigation water quality, and the total salt content of farmland irrigation water quality. The status data of biological elemental indices of farmland irrigation water quality includes the number of fecal coliforms in farmland irrigation water quality and the number of Ascaris eggs in farmland irrigation water quality.

6. The water-saving irrigation system based on subsurface pipe drainage according to claim 5, characterized in that: Based on the obtained dataset of the elemental index status of farmland irrigation water quality, combined with the compensation evaluation value and the reference evaluation value of farmland irrigation water quality, the real-time evaluation of farmland irrigation water quality is carried out, and a reminder is sent for the screened unqualified farmland irrigation water quality. The specific analysis process is as follows: Based on the obtained status data of chemical elemental indices of farmland irrigation water quality, the status data of biological elemental indices of farmland irrigation water quality, and the compensation evaluation value of farmland irrigation water quality, the evaluation value of farmland irrigation water quality is comprehensively analyzed. The evaluation value of farmland irrigation water quality is used as the analysis basis for the real-time evaluation of farmland irrigation water quality; For the evaluation value of farmland irrigation water quality, the specific analysis process is as follows: In the formula, ω is the evaluation value of farmland irrigation water quality, ω1 is the evaluation value of the status of chemical elemental indices of farmland irrigation water quality, ω2 is the evaluation value of the status of biological elemental indices of farmland irrigation water quality, μ1 is the compensation factor for the evaluation value of the status of chemical elemental indices of farmland irrigation water quality set, μ2 is the compensation factor for the evaluation value of the status of biological elemental indices of farmland irrigation water quality set, PB is the compensation evaluation value of farmland irrigation water quality, and e is the natural constant; The evaluation value of farmland irrigation water quality is compared with the reference evaluation value of farmland irrigation water quality to conduct a real-time evaluation of farmland irrigation water quality and screen out unqualified farmland irrigation water quality; If the evaluation value of farmland irrigation water quality is higher than or equal to the reference evaluation value of farmland irrigation water quality, the farmland irrigation water quality corresponding to this evaluation value of farmland irrigation water quality is marked as qualified farmland irrigation water quality; If the evaluation value of farmland irrigation water quality is lower than the reference evaluation value of farmland irrigation water quality, the farmland irrigation water quality corresponding to this evaluation value of farmland irrigation water quality is marked as unqualified farmland irrigation water quality, and an unqualified reminder is sent for the unqualified farmland irrigation water quality.

7. The water-saving irrigation system based on subsurface pipe drainage according to claim 6, wherein: The water volume flowing out from each seepage drain outlet to the well is monitored by a flowmeter, and the adjustment frequency and compensation plan for unqualified farmland irrigation water quality are obtained through comparison. The specific analysis process is as follows: The water volume flowing out from each seepage drain outlet to the well is monitored by a flowmeter to obtain the water volume flowing out from each seepage drain outlet to the well, and the water volume flowing out from each seepage drain outlet corresponding to the unqualified farmland irrigation water quality and the evaluation value of the farmland irrigation water quality corresponding to the unqualified farmland irrigation water quality are extracted; Set the water volume flowing out from each seepage drain outlet to the well discharge corresponding to the unqualified farmland irrigation water quality and the farmland irrigation water quality evaluation value corresponding to the unqualified farmland irrigation water quality as designated tags, compare the designated tags with the unqualified farmland irrigation water quality adjustment frequencies and compensation schemes corresponding to each designated tag stored in the database, obtain the unqualified farmland irrigation water quality adjustment frequency and compensation scheme corresponding to the unqualified farmland irrigation water quality, and adjust the unqualified farmland irrigation water quality based on the obtained unqualified farmland irrigation water quality adjustment frequency and compensation scheme corresponding to the unqualified farmland irrigation water quality.

8. The water-saving irrigation system based on subsurface pipe drainage according to claim 1, characterized in that: Couple meteorological data, soil moisture conditions and crop water demand characteristics with the water volume flowing out from each seepage drain outlet to the well discharge to achieve farmland water-saving adjustment. The specific analysis process is as follows: Collect the predicted value of farmland rainfall, the current soil moisture content in the root layer and the actual evapotranspiration of crops; Obtain the benchmark water volume for farmland irrigation; Combine the water volume flowing out from each seepage drain outlet to the well discharge to establish a multi-factor collaborative water-saving model: In the formula, I new is the multi-factor collaborative water-saving signal, Q opt is the amount of water flowing out from each drainage outlet of the subsurface pipe and discharged into the well, R per is the predicted value of farmland rainfall, cuur is the current soil moisture content in the root layer, and ET is the actual evapotranspiration of the crop; Set the multi-factor collaborative water-saving signal and the farmland irrigation water quality evaluation value as designated tags, search for the designated tag - farmland water-saving adjustment scheme mapping set stored in the database, and based on the designated tags, find the matching farmland water-saving adjustment scheme; Based on the matching farmland water-saving adjustment scheme, achieve farmland water-saving adjustment.

9. A water-saving irrigation method based on subsurface pipe drainage, which is used for a water-saving irrigation system based on subsurface pipe drainage according to any one of claims 1-8, characterized in that, Including the following steps: Obtain the type of crops cultivated in the farmland, and compare to obtain the reference evaluation value of the farmland irrigation water quality corresponding to the type of crops cultivated in the farmland; Obtain the dataset of the usage status of each seepage drain in the farmland, and based on the obtained dataset of the usage status of each seepage drain in the farmland, compare to obtain the compensation evaluation value of the farmland irrigation water quality; Obtain the dataset of the status of the elemental indicators of the farmland irrigation water quality, and based on the obtained dataset of the status of the elemental indicators of the farmland irrigation water quality, combine the compensation evaluation value of the farmland irrigation water quality and the reference evaluation value of the farmland irrigation water quality to conduct real-time evaluation of the farmland irrigation water quality, and issue a reminder for the screened unqualified farmland irrigation water quality; Monitor the water volume flowing out from each seepage drain outlet to the well discharge through a flowmeter, and compare to obtain the adjustment frequency and compensation scheme for the unqualified farmland irrigation water quality; Couple meteorological data, soil moisture conditions and crop water demand characteristics with the water volume flowing out from each seepage drain outlet to the well discharge to achieve farmland water-saving adjustment.

10. A water-saving irrigation device based on subsurface pipe drainage, which is used for a water-saving irrigation system based on subsurface pipe drainage according to any one of claims 1-8, characterized in that, Including a processor and a memory and a network interface connected to the processor. The network interface is connected to the non-volatile memory in the server. When the processor is running, it retrieves the computer program from the non-volatile memory through the network interface and runs the computer program through the memory.

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