Farmland irrigation water quality monitoring system

Abstract

The invention provides a farmland irrigation water quality monitoring system, and belongs to the technical field of water quality monitoring and analysis, and the system comprises an environment collection module which collects environment parameters of a farmland irrigation canal based on a preset sensor group, and determines a time interval of collection of an irrigation water sample; the water sample collection module is used for collecting an irrigation water sample, and then obtaining a plurality of basic water samples and carrying out pretreatment; a preliminary detection module: a multi-parameter preliminary detection step: performing preliminary detection on the pretreated water sample based on a preset water quality sensor; the detection module is used for screening out possible specific pollutants based on the preliminary detection data and carrying out targeted detection; and the water quality evaluation module establishes a water quality evaluation model based on a preset algorithm, comprehensively evaluates the water quality of the irrigation water according to the model, judges whether the water quality meets a farmland irrigation standard and generates a water quality evaluation result. The workload of manual monitoring is reduced, and the safety and sustainability of farmland irrigation are improved.

Description

Technical Field

[0001] The invention relates to the technical field of water quality monitoring and analysis, and in particular to a farmland irrigation water quality monitoring system. Background Art

[0002] As animal experiments become increasingly important in biology, medicine and other fields, the demand for real-time data collection and monitoring during the experiment is gradually increasing. Traditional animal experiment data collection usually relies on fixed monitoring equipment, which is difficult to cover the entire experimental area and cannot adapt to the free movement of animals during the experiment.

[0003] In the prior art, some monitoring solutions based on sensor networks can achieve a certain degree of data collection and transmission, but the equipment deployment is usually not flexible enough, and the selection of observation points lacks optimization, which affects the integrity and reliability of experimental data. In addition, the processing and interaction of collected data in the existing solutions are also relatively lagging, which limits the real-time and dynamic adjustment capabilities of experimental monitoring. Based on the above-mentioned prior art solutions, the current monitoring system has the following technical defects: it is difficult to dynamically optimize the layout of observation points according to experimental requirements, it is impossible to achieve efficient deployment and connection of mobile observation networks, and the efficiency of data processing and transmission is low, which cannot meet the monitoring needs of complex animal experiments.

[0004] Therefore, the present invention provides a farmland irrigation water quality monitoring system. Summary of the invention

[0005] The present invention provides a farmland irrigation water quality monitoring system, which is used to reasonably determine the sampling time interval by using an environment acquisition module and a water sample acquisition module, and to perform multi-parameter detection in combination with preset sensors and historical water quality data, thereby improving the accuracy of data and the efficiency of monitoring. Through the targeted detection module, characteristic pollutants can be effectively identified and screened, reducing the risk of false detection and missed detection. The water quality evaluation module comprehensively analyzes the detection results and can evaluate in real time whether the water quality meets the irrigation standards, thereby providing accurate water quality assurance for agricultural production, reducing the workload of manual monitoring, and improving the safety and sustainability of farmland irrigation.

[0006] The present invention provides a farmland irrigation water quality monitoring system, comprising:

[0007] Environmental collection module: collects environmental parameters of farmland irrigation canals based on a preset sensor group, and then determines the time interval for collecting irrigation water samples in combination with relevant parameters of the water sample collection device;

[0008] Water sample collection module: deploy several water sample collection devices at key locations of farmland irrigation canals to collect irrigation water samples based on the time intervals for collecting irrigation water samples, and then obtain several basic water samples and perform pre-processing;

[0009] Preliminary detection module: Multi-parameter preliminary detection step: Preliminary detection of pretreated water samples based on preset water quality sensors;

[0010] Targeted detection module: Based on the preliminary detection data, combined with the historical water quality data of local farmland irrigation water and information on common pollutants, possible characteristic pollutants are screened out and targeted detection is carried out;

[0011] Water quality evaluation module: The preliminary test data and targeted test data are integrated and processed, and then a water quality evaluation model is established based on the preset algorithm. The water quality of irrigation water is comprehensively evaluated according to the model to determine whether the water quality meets the farmland irrigation standards and generate water quality evaluation results.

[0012] The present invention provides a farmland irrigation water quality monitoring system and an environment collection module, comprising:

[0013] Parameter collection unit: starts the preset sensor group to collect the environmental parameters of the farmland irrigation canal according to the preset time frequency;

[0014] Data processing unit: obtain relevant parameters of the water sample collection device, and standardize the environmental parameters of the farmland irrigation canal and the relevant parameters of the water sample collection device respectively;

[0015] Interval determination unit: Determines the time interval for collecting irrigation water samples based on the standardized environmental parameters of the farmland irrigation canal and the relevant parameters of the water sample collection device:

[0016]

[0017] Among them, P flow is the irrigation water flow, S capacity is the capacity of the water sample collection device, S rate is the sampling rate, P pH is the pH value of water, P temp is water temperature, P conductivity is the electrical conductivity of water, P env1 is the average rate of change of ambient temperature, P env2 is soil moisture, G stage is the preset crop growth stage coefficient, P env2 is the light intensity.

[0018] The present invention provides a farmland irrigation water quality monitoring system, which has a preset sensor group, including: a temperature sensor, a humidity sensor for measuring, and a light sensor for measuring light intensity.

[0019] The present invention provides a farmland irrigation water quality monitoring system and a water sample collection module, comprising:

[0020] Location determination unit: Determine several key locations based on the layout of farm irrigation canals, water flow characteristics and historical water quality;

[0021] Water sampling unit: several water sampling devices are installed at certain key locations to collect irrigation water samples at time intervals;

[0022] Water sample collection unit: Based on the water sample collection device, the collected irrigation water samples are collected into a number of sample containers with labels corresponding to each water sample collection device, thereby obtaining a number of basic water samples, wherein each sample container corresponds to a collection position and a collection time;

[0023] Water sample filtration unit: preliminarily filter the collected basic water samples to remove large particle impurities and suspended matter in the basic water samples;

[0024] Water sample pretreatment unit: Add a preset buffer to the water sample after preliminary filtration, adjust the pH value of the water sample to an appropriate range, and then complete the pretreatment of the water sample.

[0025] The present invention provides a farmland irrigation water quality monitoring system, a position determination unit, comprising:

[0026] Historical analysis subunit: obtain historical water quality monitoring reports, analyze historical water quality data, and identify locations where historical water quality exceeds standards and changes abnormally as historical key locations;

[0027] Layout analysis subunit: obtain the canal layout data and analyze it, and then determine the location of the canal inlet and outlet, as well as all the turns and branch outlets for farmland irrigation, and determine the location of the canal inlet and outlet, as well as all the turns and branch outlets for farmland irrigation as key locations of the layout;

[0028] Flow velocity analysis subunit: Based on the flow meter equipment, the water velocity and water level changes at different positions of the canal are measured, and then the canal is divided into several flow velocity areas, and the connection points of each adjacent flow velocity area are determined as the key flow velocity positions;

[0029] Water flow analysis subunit: based on the form of water flow in the canal, the position of special water flow is determined, and the position of special water flow is determined as a special key position;

[0030] Position determination subunit: historical key positions, layout key positions, flow rate key positions and special key positions are determined as key positions.

[0031] The present invention provides a farmland irrigation water quality monitoring system, which includes:

[0032] Abnormal acquisition unit: compares the preliminary test data with the historical water quality data and common pollutant information of local farmland irrigation water, analyzes the differences between the parameters in the preliminary test data and the historical data, and then determines the abnormal parameters in the preliminary test data;

[0033] Pollution screening unit: based on the abnormal parameters and common pollutant information in the preliminary detection data, screen out possible characteristic pollutants;

[0034] Pollution detection unit: Use preset detection equipment to conduct targeted detection on water samples based on the screened characteristic pollutants.

[0035] The present invention provides a farmland irrigation water quality monitoring system, a pollution screening unit, comprising:

[0036] Correlation analysis subunit: Based on the information of common pollutants, establish the correlation model between abnormal parameters and possible pollutants, and conduct correlation analysis;

[0037] Result screening unit subunit: Based on the results of the association analysis, possible characteristic pollutants related to abnormal parameters are screened out from the list of common pollutants.

[0038] The present invention provides a farmland irrigation water quality monitoring system and a water quality evaluation module, comprising:

[0039] Data integration unit: Integrate and process the preliminary test data and targeted test data based on a preset method, and then determine a complete data set including preliminary test and targeted test;

[0040] Model building unit: Establish a water quality assessment model based on a complete data set including preliminary and targeted tests and a preset algorithm;

[0041] Water quality evaluation unit: obtain the water sample data to be evaluated and input it into the water quality evaluation model, conduct a comprehensive evaluation of the irrigation water quality based on the output results of the model, and then determine the comprehensive evaluation results of the irrigation water quality;

[0042] Report generation unit: Generates water quality evaluation report based on comprehensive water quality evaluation results.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] By using the environmental acquisition module and the water sample acquisition module to reasonably determine the sampling time interval, and combining the preset sensors and historical water quality data for multi-parameter detection, the accuracy of the data and the efficiency of monitoring are improved. Through the targeted detection module, characteristic pollutants can be effectively identified and screened, reducing the risk of false detection and missed detection. The water quality evaluation module comprehensively analyzes the test results and can evaluate in real time whether the water quality meets the irrigation standards, thereby providing accurate water quality assurance for agricultural production, reducing the workload of manual monitoring, and improving the safety and sustainability of farmland irrigation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 It is a structural schematic diagram of a farmland irrigation water quality monitoring system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] Embodiment 1:

[0049] The embodiment of the present invention provides a system for monitoring the quality of farmland irrigation water. Figure 1 As shown, including:

[0050] A farmland irrigation water quality monitoring system, characterized by comprising:

[0051] Environmental collection module: collects environmental parameters of farmland irrigation canals based on a preset sensor group, and then determines the time interval for collecting irrigation water samples in combination with relevant parameters of the water sample collection device;

[0052] Water sample collection module: deploy several water sample collection devices at key locations of farmland irrigation canals to collect irrigation water samples based on the time intervals for collecting irrigation water samples, and then obtain several basic water samples and perform pre-processing;

[0053] Preliminary detection module: Multi-parameter preliminary detection step: Preliminary detection of pretreated water samples based on preset water quality sensors;

[0054] Targeted detection module: Based on the preliminary detection data, combined with the historical water quality data of local farmland irrigation water and information on common pollutants, possible characteristic pollutants are screened out and targeted detection is carried out;

[0055] Water quality evaluation module: The preliminary test data and targeted test data are integrated and processed, and then a water quality evaluation model is established based on the preset algorithm. The water quality of irrigation water is comprehensively evaluated according to the model to determine whether the water quality meets the farmland irrigation standards and generate water quality evaluation results.

[0056] In this embodiment, the water sample collection device, each collection device is equipped with unique identification information;

[0057] In this embodiment, the preliminary detection data simultaneously detects multiple data such as acidity (pH value), dissolved oxygen (DO), electrical conductivity (EC) and temperature (T).

[0058] In this embodiment, characteristic pollutants are such as heavy metals, pesticide residues, ammonia nitrogen, etc. The screened characteristic pollutants provide a direction for subsequent targeted detection.

[0059] The beneficial effects of the above technical solution are: by using the environment acquisition module and the water sample acquisition module to reasonably determine the sampling time interval, and combining the preset sensors and historical water quality data for multi-parameter detection, the accuracy of the data and the efficiency of monitoring are improved. Through the targeted detection module, characteristic pollutants can be effectively identified and screened, reducing the risk of false detection and missed detection. The water quality evaluation module comprehensively analyzes the test results and can evaluate in real time whether the water quality meets the irrigation standards, thereby providing accurate water quality assurance for agricultural production, reducing the workload of manual monitoring, and improving the safety and sustainability of farmland irrigation.

[0060] Embodiment 2:

[0061] The embodiment of the present invention provides a farmland irrigation water quality monitoring system, an environment collection module, including:

[0062] Parameter collection unit: starts the preset sensor group to collect the environmental parameters of the farmland irrigation canal according to the preset time frequency;

[0063] Data processing unit: obtain relevant parameters of the water sample collection device, and standardize the environmental parameters of the farmland irrigation canal and the relevant parameters of the water sample collection device respectively;

[0064] Interval determination unit: Determines the time interval for collecting irrigation water samples based on the standardized environmental parameters of the farmland irrigation canal and the relevant parameters of the water sample collection device:

[0065]

[0066] Among them, P flow is the irrigation water flow, S capacity is the capacity of the water sample collection device, S rate is the sampling rate, P pH is the pH value of water, P temp is water temperature, P conductivity is the electrical conductivity of water, P env1 is the average rate of change of ambient temperature, P env2 is soil moisture, G stage is the preset crop growth stage coefficient, P env2 is the light intensity.

[0067] In this embodiment, the calculation logic is: if the flow rate is large or the device capacity is large, and the sampling rate is low, a longer time interval may be required to complete the sampling. Conversely, if the sampling rate is fast, the time interval can be shortened. The influence of these environmental factors is reflected through an inverse relationship. If the environment changes drastically (for example, heavy rainfall, drastic changes in temperature, etc.), the sampling time interval should be shortened. If the environment is relatively stable, the sampling time interval can be appropriately extended. When the water quality changes greatly (for example, the pH changes greatly, the conductivity is high, etc.), it means that the water quality changes more drastically and the sampling interval should be shortened. When the water quality is relatively stable, the value of this item is small and the sampling interval can be longer.

[0068] In this embodiment, the growth stage coefficient has different water quality requirements at different growth stages, such as 0.8 at the seedling stage, 1.2 at the growth stage, and 1.5 at the flowering stage.

[0069] The beneficial effects of the above technical solution are: by combining multiple environmental parameters (such as water flow, soil moisture, light intensity, etc.) with relevant parameters of the water sample collection device, after standardization, the sampling interval is scientifically set to ensure that the time interval for water sample collection matches environmental changes, thereby improving the timeliness and accuracy of monitoring. This method effectively reduces errors caused by human operation, improves monitoring efficiency and the reliability of water quality data, and provides a more scientific and efficient means for agricultural irrigation water quality management.

[0070] Embodiment 3:

[0071] The embodiment of the present invention provides a system for monitoring the quality of farmland irrigation water, with a preset sensor group including: a temperature sensor, a humidity sensor for measuring, and a light sensor for measuring light intensity.

[0072] The beneficial effects of the above technical solution are as follows: through the diversified configuration of the preset sensor group, the impact of environmental factors on water quality can be fully monitored. Compared with the existing technology, the combination of temperature sensors, humidity sensors and light sensors enables the system to obtain real-time information on changes in the farmland environment and accurately judge the potential impact of the environment on water quality. The monitoring of temperature and humidity can reflect the physical changes that may occur in water quality, and the light intensity helps to analyze biological factors such as algae growth in the water body. The design of this combined sensor enhances the comprehensive monitoring capabilities of the system and can more accurately guide water sample collection and water quality assessment, thereby improving the accuracy and efficiency of farmland irrigation water quality monitoring and providing stronger support for agricultural production.

[0073] Embodiment 4:

[0074] The embodiment of the present invention provides a farmland irrigation water quality monitoring system, a water sample collection module, including:

[0075] Location determination unit: Determine several key locations based on the layout of farm irrigation canals, water flow characteristics and historical water quality;

[0076] Water sampling unit: several water sampling devices are installed at certain key locations to collect irrigation water samples at time intervals;

[0077] Water sample collection unit: Based on the water sample collection device, the collected irrigation water samples are collected into a number of sample containers with labels corresponding to each water sample collection device, thereby obtaining a number of basic water samples, wherein each sample container corresponds to a collection position and a collection time;

[0078] Water sample filtration unit: preliminarily filter the collected basic water samples to remove large particle impurities and suspended matter in the basic water samples;

[0079] Water sample pretreatment unit: Add a preset buffer to the water sample after preliminary filtration, adjust the pH value of the water sample to an appropriate range, and then complete the pretreatment of the water sample.

[0080] In this embodiment, the collected irrigation water samples are collected into several labeled sample containers corresponding to each water sample collection device based on the water sample collection device, and then several basic water samples are obtained, including: container preparation: preparing several labeled sample containers, the labels include the corresponding water sample collection device numbers, device deployment: deploying the water sample collection devices at key positions of irrigation canals, time setting: determining the collection time interval based on environmental parameters, etc., water sample collection: at the set time, the water sample collection device is started to collect irrigation water from the canal, water sample collection: collecting the collected water samples into corresponding labeled sample containers, one container corresponds to one collection position and collection time, information recording: recording the collection position and time corresponding to each sample container for subsequent analysis.

[0081] In this embodiment, the preset buffer includes: for general acid-base adjustment: phosphate buffer, composition: usually prepared by mixing potassium dihydrogen phosphate and disodium hydrogen phosphate in different proportions, applicable situation: can buffer the pH value of water sample in the near-neutral range of 6.0-8.0, suitable for most conventional water quality detection projects. Because the growth of most microorganisms and most chemical reactions are relatively stable in a near-neutral environment, phosphate buffer is a good choice when the number of microorganisms in water, common anion and cation concentrations and other indicators are to be tested later. Borate buffer, composition: composed of boric acid and borax, applicable situation: can maintain the pH of water sample in the weak alkaline range of 7.4-9.0. If the subsequent detection focuses on substances that are stable or react under weak alkaline conditions, such as certain heavy metal ions that are easier to form specific complexes in a weak alkaline environment for easy detection, borate buffer can be used. For special detection needs: acetic acid-sodium acetate buffer, composition: composed of acetic acid and sodium acetate, applicable situation: its buffer range is in the weakly acidic range of 4.0-5.5. When the test items involve substances that are stable or have specific reactions in a weakly acidic environment, such as testing certain organic acids and conducting specific enzyme activity assays (some enzymes are most active under weakly acidic conditions), this buffer is more suitable. Tris-HCl buffer, composition: prepared with tris (hydroxymethyl) aminomethane (Tris) and hydrochloric acid (HCl), applicable conditions: can provide good buffering capacity in the pH range of 7.0-9.2. When conducting some tests that require high ionic strength and buffering capacity, such as molecular biology-related tests (testing viral nucleic acids in water, etc.), Tris-HCl buffer can meet the strict requirements of the detection system for pH stability.

[0082] The beneficial effects of the above technical solution are as follows: by combining the location determination unit with the layout of farmland water channels and historical water quality data, the selection of sampling points is optimized to ensure that key locations are fully monitored. The water sample filtration unit and pretreatment unit further improve the quality of water samples, remove large particle impurities and suspended matter, and adjust the pH by adding buffers, making the test results of water samples more stable and accurate. Each water sample corresponds to a clear collection location and time, which improves the traceability of the data. This series of optimization measures effectively reduces errors in the water sample processing process, enhances the scientificity and practicality of the monitoring system, and provides stronger support for the comprehensive assessment of farmland water quality.

[0083] Embodiment 5:

[0084] The embodiment of the present invention provides a farmland irrigation water quality monitoring system, a position determination unit, comprising:

[0085] Historical analysis subunit: obtain historical water quality monitoring reports, analyze historical water quality data, and identify locations where historical water quality exceeds standards and changes abnormally as historical key locations;

[0086] Layout analysis subunit: obtain the canal layout data and analyze it, and then determine the location of the canal inlet and outlet, as well as all the turns and branch outlets for farmland irrigation, and determine the location of the canal inlet and outlet, as well as all the turns and branch outlets for farmland irrigation as key locations of the layout;

[0087] Flow velocity analysis subunit: Based on the flow meter equipment, the water velocity and water level changes at different positions of the canal are measured, and then the canal is divided into several flow velocity areas, and the connection points of each adjacent flow velocity area are determined as the key flow velocity positions;

[0088] Water flow analysis subunit: based on the form of water flow in the canal, the position of special water flow is determined, and the position of special water flow is determined as a special key position;

[0089] Position determination subunit: historical key positions, layout key positions, flow rate key positions and special key positions are determined as key positions.

[0090] In this embodiment, the flow velocity area includes: a high-speed area, a medium-speed area, and a low-speed area. The water flow in the high-speed area is conducive to the dilution and diffusion of pollutants, while the low-speed area may lead to the accumulation of pollutants. For areas where the flow velocity changes significantly, such as entering a narrow canal from a wide canal, where there are obstacles that block the water flow, etc., positions that can represent different water flow speed states are selected in these areas as potential key positions. At the same time, avoid setting sampling points at locations where the water flow speed is too fast or too slow to accurately collect water samples.

[0091] In this embodiment, the location of special water flow is determined as a special key location: for locations with special water flow phenomena such as vortexes and backflows, local accumulation or uneven mixing of pollutants may occur due to the complex water flow in these areas. Sampling points are set near these locations to monitor changes in water quality under special water flow conditions. For areas with stagnant or slow flow, such as dead water areas and slow flow zones at the edge of canals, these areas are prone to form anaerobic environments, which promote the growth and reproduction of microorganisms and lead to deterioration of water quality. Representative locations are selected in these areas as potential key locations.

[0092] The beneficial effects of the above technical solutions: The selection of water sample collection locations is optimized through multi-dimensional analysis methods, which improves the accuracy and comprehensiveness of monitoring. Compared with the existing technology, the historical analysis subunit ensures priority monitoring of areas with frequent water quality problems by analyzing historical water quality data. The layout analysis subunit combines the canal layout to ensure comprehensive monitoring of key locations such as canal inlets, outlets, bends and branches. The flow rate analysis subunit divides the flow rate area according to the water flow velocity and water level changes, and effectively determines the areas with large flow rate changes for key monitoring. The water flow analysis subunit identifies areas with special water flow patterns, further improving the pertinence of monitoring. The comprehensive positioning of key locations based on multiple factors makes water quality monitoring more comprehensive and scientific, ensuring the representativeness of water sample collection and the reliability of data.

[0093] Embodiment 6:

[0094] The embodiment of the present invention provides a farmland irrigation water quality monitoring system, which includes a detection module:

[0095] Abnormal acquisition unit: compares the preliminary test data with the historical water quality data and common pollutant information of local farmland irrigation water, analyzes the differences between the parameters in the preliminary test data and the historical data, and then determines the abnormal parameters in the preliminary test data;

[0096] Pollution screening unit: based on the abnormal parameters and common pollutant information in the preliminary detection data, screen out possible characteristic pollutants;

[0097] Pollution detection unit: Use preset detection equipment to conduct targeted detection on water samples based on the screened characteristic pollutants.

[0098] In this embodiment, based on abnormal parameters and common pollutant information in the preliminary detection data, possible characteristic pollutants are screened out. For example, if parameters related to heavy metal content in the preliminary detection data are abnormal, and heavy metal pollution has occurred in the local history, the heavy metal will be listed as a characteristic pollutant.

[0099] In this embodiment, the detection equipment is preset, and the appropriate preset detection equipment is selected according to the list of characteristic pollutants screened out. Different pollutants require different detection methods and equipment. For example, atomic absorption spectrometers and inductively coupled plasma mass spectrometers (ICP-MS) can be used to detect heavy metals; gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), etc. can be used to detect pesticide residues. Equipment calibration and debugging: Before using the detection equipment, calibrate and debug the equipment to ensure the accuracy and reliability of the equipment. Use standard substances to calibrate the equipment and check whether the various performance indicators of the equipment meet the requirements.

[0100] In this embodiment, targeted detection is performed to obtain content data of characteristic pollutants.

[0101] The beneficial effects of the above technical solution: Through precise anomaly analysis and pollution screening, the sensitivity and accuracy of water quality monitoring are greatly improved. Compared with the existing technology, the anomaly acquisition unit combines historical water quality data and common pollutant information to effectively identify abnormal parameters in the preliminary detection data and quickly discover potential water quality problems. The pollution screening unit further screens out possible characteristic pollutants, avoiding unnecessary comprehensive testing and improving detection efficiency. The pollution detection unit conducts targeted in-depth analysis of characteristic pollutants to ensure accurate detection and positioning of pollutants. Through the collaborative work of this series of modules, the system can identify water quality anomalies more quickly and accurately, provide more targeted solutions, and enhance the effectiveness of agricultural water quality management.

[0102] Embodiment 7:

[0103] The embodiment of the present invention provides a farmland irrigation water quality monitoring system, a pollution screening unit, comprising:

[0104] Correlation analysis subunit: Based on the information of common pollutants, establish the correlation model between abnormal parameters and possible pollutants, and conduct correlation analysis;

[0105] Result screening unit subunit: Based on the results of the association analysis, possible characteristic pollutants related to abnormal parameters are screened out from the list of common pollutants.

[0106] In this embodiment, an association model is established: the association analysis is based on the existing common pollutant data and environmental factors (such as water flow rate, water temperature, soil moisture, etc.), and the detected abnormal water quality parameters (such as pH value, conductivity, turbidity, etc.) are associated with possible pollutants through mathematical models or statistical methods. Association rule mining: By analyzing historical water quality data, it is possible to mine which pollutants will cause changes in specific parameters. For example, when the pH value of water quality in a certain area is found to be abnormal, it may be associated with a specific type of pollutant (such as pesticides, heavy metals, etc.). Example: Assume that in the monitoring data, the pH value suddenly decreases and the conductivity increases. In the historical data and common pollutant information, it may be found that when the pH value decreases, the farmland irrigation water contains a higher concentration of nitrogen compounds or pesticides. Through association analysis, the system will infer that these two pollutants may be the cause of the decrease in pH value and the increase in conductivity. The specific steps are as follows: The system finds through historical data that nitrogen compounds are often associated with a decrease in pH value. At the same time, historical data show that the presence of pesticides can also cause an increase in conductivity. Through association analysis, the system can infer that these two pollutants are possible causes of abnormal water quality. Ultimately, based on this analysis, the result screening unit screened out nitrogen compounds and pesticides from the list of common pollutants, and prioritized these two pollutants for subsequent testing, avoiding comprehensive testing of all pollutants, saving time and costs, and improving detection accuracy.

[0107] The beneficial effects of the above technical solution: Through association analysis and result screening, the accuracy and efficiency of pollutant identification are improved. Compared with the existing technology, the association analysis subunit uses common pollutant information to establish an association model between abnormal parameters and potential pollutants, which can accurately identify pollutants related to abnormal data. This model effectively reduces the detection range, avoids redundant screening of all pollutants, and significantly improves monitoring efficiency. Based on the results of association analysis, the result screening unit accurately screens out possible characteristic pollutants, reducing the risk of false detection and missed detection. This refined pollution screening method makes agricultural irrigation water quality monitoring more targeted and scientific, and improves the system's response speed and accuracy to water quality problems.

[0108] Embodiment 8:

[0109] The embodiment of the present invention provides a farmland irrigation water quality monitoring system, a water quality evaluation module, including:

[0110] Data integration unit: Integrate and process the preliminary test data and targeted test data based on a preset method, and then determine a complete data set including preliminary test and targeted test;

[0111] Model building unit: Establish a water quality assessment model based on a complete data set including preliminary and targeted tests and a preset algorithm;

[0112] Water quality evaluation unit: obtain the water sample data to be evaluated and input it into the water quality evaluation model, conduct a comprehensive evaluation of the irrigation water quality based on the output results of the model, and then determine the comprehensive evaluation results of the irrigation water quality;

[0113] Report generation unit: Generates water quality evaluation report based on comprehensive water quality evaluation results.

[0114] In this embodiment, the processing is to clean the integrated data and remove outliers and erroneous data. For example, statistical analysis methods are used to determine whether the data is within a reasonable range, and the data that exceeds the range is corrected or eliminated. Result: A clean and accurate data set is obtained, which improves the accuracy of the water quality assessment model.

[0115] In this embodiment, the principle of the water quality evaluation model is: first, the system integrates the preliminary test data (such as pH value, conductivity, etc.) and the targeted test data (such as the content of pollutants such as pesticides and heavy metals) into a complete data set. These data provide a basis for subsequent modeling. Model construction: Based on the integrated data set, combined with the preset algorithm (such as weighted average method, multivariate regression analysis, machine learning algorithm, etc.), a water quality evaluation model is constructed. The model can comprehensively evaluate the quality of water according to the changes in different parameters. Water quality evaluation: After the water sample data to be evaluated is input into the model, the system outputs a comprehensive water quality evaluation result according to the preset evaluation criteria and algorithm, such as "qualified", "mildly polluted", "moderately polluted" or "severely polluted", etc. Example: Assume that during the monitoring of farmland irrigation water, the system collects the following data: Preliminary test data: pH value = 6.5 (normal range 6-8), conductivity = 1.5mS / cm (normal range 1-2mS / cm). Targeted test data: pesticide residue = 0.05mg / L (exceeding the safety standard of 0.01mg / L), nitrogen compound = 5mg / L (normal range 1-3mg / L). After these data are processed by the data integration unit, a complete data set is constructed. Next, through the water quality evaluation model analysis, the model will consider the degree of harm of different pollutants and their impact on water quality. For example, pesticide residue and nitrogen compound exceeding the standard may have a greater impact on water quality, so the model output result may be "moderate pollution".

[0116] Beneficial effects of the above technical solutions: The accuracy and reliability of water quality assessment are improved through the integration of multiple data sources and scientific modeling. Compared with the existing technology, the data integration unit combines preliminary test data with targeted test data to ensure comprehensive water quality analysis. The model building unit builds a more accurate water quality evaluation model based on the complete data set and preset algorithm, which can comprehensively consider the impact of multiple factors on water quality. The water quality evaluation unit provides accurate comprehensive water quality evaluation results based on the model, avoiding the limitations of a single parameter. The report generation unit generates a detailed water quality evaluation report based on the comprehensive results, providing strong decision-making support for farmland irrigation management. This system has greatly improved the scientificity, real-timeness and operability of water quality monitoring.

[0117] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A farmland irrigation water quality monitoring system, characterized in that: include: Environmental collection module: collects environmental parameters of farmland irrigation canals based on a preset sensor group, and then determines the time interval for collecting irrigation water samples in combination with relevant parameters of the water sample collection device; Water sample collection module: deploy several water sample collection devices at key locations of farmland irrigation canals to collect irrigation water samples based on the time intervals for collecting irrigation water samples, and then obtain several basic water samples and perform pre-processing; Preliminary detection module: Multi-parameter preliminary detection step: Preliminary detection of pretreated water samples based on preset water quality sensors; Targeted detection module: Based on the preliminary detection data, combined with the historical water quality data of local farmland irrigation water and information on common pollutants, possible characteristic pollutants are screened out and targeted detection is carried out; Water quality evaluation module: The preliminary test data and targeted test data are integrated and processed, and then a water quality evaluation model is established based on the preset algorithm. The water quality of irrigation water is comprehensively evaluated according to the model to determine whether the water quality meets the farmland irrigation standards and generate water quality evaluation results.

2. A farmland irrigation water quality monitoring system according to claim 1, characterized in that: Environmental collection module, including: Parameter collection unit: starts the preset sensor group to collect the environmental parameters of the farmland irrigation canal according to the preset time frequency; Data processing unit: obtain relevant parameters of the water sample collection device, and standardize the environmental parameters of the farmland irrigation canal and the relevant parameters of the water sample collection device respectively; Interval determination unit: Determines the time interval for collecting irrigation water samples based on the standardized environmental parameters of the farmland irrigation canal and the relevant parameters of the water sample collection device: Among them, P flow is the irrigation water flow, S capacity is the capacity of the water sample collection device, S rate is the sampling rate, P pH is the pH value of water, P temp is water temperature, P conductivity is the electrical conductivity of water, P env1 is the average rate of change of ambient temperature, P env2 is soil moisture, G stage is the preset crop growth stage coefficient, P env2 is the light intensity.

3. A farmland irrigation water quality monitoring system according to claim 1, characterized in that: The preset sensor group includes: temperature sensor, humidity sensor and light sensor to measure light intensity.

4. A farmland irrigation water quality monitoring system according to claim 1, characterized in that: Water sample collection module, including: Location determination unit: Determine several key locations based on the layout of farm irrigation canals, water flow characteristics and historical water quality; Water sampling unit: several water sampling devices are installed at certain key locations to collect irrigation water samples at time intervals; Water sample collection unit: Based on the water sample collection device, the collected irrigation water samples are collected into a number of sample containers with labels corresponding to each water sample collection device, thereby obtaining a number of basic water samples, wherein each sample container corresponds to a collection position and a collection time; Water sample filtration unit: preliminarily filter the collected basic water samples to remove large particle impurities and suspended matter in the basic water samples; Water sample pretreatment unit: Add a preset buffer to the water sample after preliminary filtration, adjust the pH value of the water sample to an appropriate range, and then complete the pretreatment of the water sample.

5. A farmland irrigation water quality monitoring system according to claim 4, characterized in that: A position determination unit comprising: Historical analysis subunit: obtain historical water quality monitoring reports, analyze historical water quality data, and identify locations where historical water quality exceeds standards and changes abnormally as historical key locations; Layout analysis subunit: obtain the canal layout data and analyze it, and then determine the location of the canal inlet and outlet, as well as all the turns and branch outlets for farmland irrigation, and determine the location of the canal inlet and outlet, as well as all the turns and branch outlets for farmland irrigation as key locations of the layout; Flow velocity analysis subunit: Based on the flow meter equipment, the water velocity and water level changes at different positions of the canal are measured, and then the canal is divided into several flow velocity areas, and the connection points of each adjacent flow velocity area are determined as the key flow velocity positions; Water flow analysis subunit: based on the form of water flow in the canal, the position of special water flow is determined, and the position of special water flow is determined as a special key position; Position determination subunit: historical key positions, layout key positions, flow rate key positions and special key positions are determined as key positions.

6. The farmland irrigation water quality monitoring system according to claim 1, characterized in that: For the detection module, including: Abnormal acquisition unit: compares the preliminary test data with the historical water quality data and common pollutant information of local farmland irrigation water, analyzes the differences between the parameters in the preliminary test data and the historical data, and then determines the abnormal parameters in the preliminary test data; Pollution screening unit: based on the abnormal parameters and common pollutant information in the preliminary detection data, screen out possible characteristic pollutants; Pollution detection unit: Use preset detection equipment to conduct targeted detection on water samples based on the screened characteristic pollutants.

7. A farmland irrigation water quality monitoring system according to claim 6, characterized in that: Contamination screening unit, including: Correlation analysis subunit: Based on the information of common pollutants, establish the correlation model between abnormal parameters and possible pollutants, and conduct correlation analysis; Result screening unit subunit: Based on the results of the association analysis, possible characteristic pollutants related to abnormal parameters are screened out from the list of common pollutants.

8. The farmland irrigation water quality monitoring system according to claim 1, characterized in that: Water quality assessment module, including: Data integration unit: Integrate and process the preliminary test data and targeted test data based on a preset method, and then determine a complete data set including preliminary test and targeted test; Model building unit: Establish a water quality assessment model based on a complete data set including preliminary and targeted tests and a preset algorithm; Water quality evaluation unit: obtain the water sample data to be evaluated and input it into the water quality evaluation model, conduct a comprehensive evaluation of the irrigation water quality based on the output results of the model, and then determine the comprehensive evaluation results of the irrigation water quality; Report generation unit: Generates water quality evaluation report based on comprehensive water quality evaluation results.

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