A farmland irrigation water quality monitoring system

Abstract

The present invention provides a water quality monitoring system for farmland irrigation, belonging to the technical field of water quality monitoring and analysis, including: an environmental acquisition module: collecting environmental parameters of a farmland irrigation canal based on a preset sensor group to determine the time interval for collecting irrigation water samples; a water sample collection module: collecting irrigation water samples, and then obtaining a number of basic water samples and performing pre-treatment; a preliminary detection module: a multi-parameter preliminary detection step: performing a preliminary detection on the pre-treated water samples based on a preset water quality sensor; a targeted detection module: screening out possible characteristic pollutants based on the preliminary detection data and performing targeted detection; a water quality evaluation module: establishing a water quality evaluation model based on a preset algorithm, comprehensively evaluating the water quality of the irrigation water according to the model, judging whether the water quality meets the farmland irrigation standard and generating a water quality evaluation result. It reduces the workload of manual monitoring and improves the safety and sustainability of farmland irrigation.

Description

Technical Field

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

[0002] With the increasing importance of animal experiments in the fields of biology, medicine, etc., the demand for real-time data collection and monitoring during the experimental process has gradually increased. Traditional animal experiment data collection usually relies on fixed monitoring devices, which are 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 schemes based on sensor networks can achieve a certain degree of data collection and transmission, but usually the device deployment is not flexible enough, and the selection of observation points lacks optimization, resulting in the integrity and reliability of experimental data being affected. In addition, the processing and interaction of the collected data in the existing schemes are also relatively lagging, restricting the real-time performance and dynamic adjustment ability of experimental monitoring. Based on the above-mentioned prior art schemes, the current monitoring system has the following technical defects: it is difficult to dynamically optimize the layout of observation points according to experimental requirements, unable to achieve the efficient deployment and connection of mobile observation networks, and the efficiency of data processing and transmission is relatively low, unable to meet the monitoring requirements of complex animal experiments.

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

[0005] The present invention provides a water quality monitoring system for farmland irrigation water, which is used to reasonably determine the sampling time interval by using an environmental collection module and a water sample collection module, and perform multi-parameter detection by combining preset sensors and historical water quality data, improving the accuracy of data and the efficiency of monitoring. Through a targeted detection module, characteristic pollutants can be effectively identified and screened out, 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 standard, thereby providing accurate water quality guarantee for agricultural production, reducing the workload of manual monitoring, and improving the safety and sustainability of farmland irrigation.

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

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

[0008] A water sample collection module: deploying a plurality of water sample collection devices at key positions of the farmland irrigation canal, collecting irrigation water samples based on the time interval for collecting irrigation water samples, and then obtaining a plurality of basic water samples and performing pretreatment;

[0009] Preliminary detection module: Multi-parameter preliminary detection step: Based on a preset water quality sensor, perform a preliminary detection on the pretreated water sample;

[0010] Targeted detection module: Based on the preliminary detection data, combined with the historical water quality data of local farmland irrigation water and common pollutant information, screen out the possible characteristic pollutants and conduct targeted detections;

[0011] Water quality evaluation module: After fusing the preliminary detection data and the targeted detection data, further establish a water quality evaluation model based on a preset algorithm, comprehensively evaluate the water quality of the irrigation water according to the model, and determine whether the water quality meets the farmland irrigation standard and generate a water quality evaluation result.

[0012] The present invention provides a farmland irrigation water quality monitoring system, and an environmental acquisition module, including:

[0013] Parameter acquisition unit: According to a preset time frequency, start a preset sensor group to acquire the environmental parameters of the farmland irrigation canal;

[0014] Data processing unit: Obtain the 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: Based on the standardized environmental parameters of the farmland irrigation canal and the relevant parameters of the water sample collection device, determine the time interval for collecting the irrigation water sample:

[0016]

[0017] Wherein, P flow is the irrigation water flow rate, S capacity is the capacity of the water sample collection device, S rate is the sampling rate, P pH is the pH value of the water, P temp is the water temperature, P conductivity is the conductivity of the water, P env1 is the average change rate of the environmental temperature, P env2 is the soil humidity, 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, and a preset sensor group, including: a temperature sensor, a humidity sensor, and a light sensor for measuring the light intensity.

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

[0020] Location determination unit: Determine a number of key locations based on the layout of the farmland irrigation canal, the characteristics of the water flow, and the historical water quality situation;

[0021] Water sample collection unit: Install a number of water sample collection devices at the determined key locations and collect irrigation water samples at time intervals;

[0022] Water sample collection unit: Based on the water sample collection device, collect the collected irrigation water samples into a number of labeled sample containers corresponding to each water sample collection device, thereby obtaining a number of basic water samples. Among them, each sample container corresponds to a collection location and a collection time;

[0023] Water sample filtration unit: Conduct preliminary filtration on the collected basic water samples to remove large particle impurities and suspended substances in the basic water samples;

[0024] Water sample pretreatment unit: Add a preset buffer to the preliminarily filtered water sample to adjust the pH value of the water sample to an appropriate range, thereby completing the pretreatment of the water sample.

[0025] The present invention provides a farmland irrigation water quality monitoring system. The location determination unit includes:

[0026] Historical analysis subunit: Obtain the historical water quality monitoring report, analyze the historical water quality data, and determine the locations with historical water quality exceeding the standard and abnormal changes as historical key locations;

[0027] Layout analysis subunit: Obtain the canal layout data and conduct analysis, determine the locations of the canal inlet and outlet, all turning points, and farmland irrigation branch outlets, and determine the locations of the canal inlet and outlet, all turning points, and farmland irrigation branch outlets as layout key locations;

[0028] Flow velocity analysis subunit: Based on the flow velocity measuring device, measure the water flow velocity and water level change at different locations of the canal, divide the canal into several flow velocity regions, and determine the connection points of each adjacent flow velocity region as flow velocity key locations;

[0029] Water flow analysis subunit: Based on the form of the water flow in the canal, determine the location of the special water flow, and determine the location of the special water flow as the special key location;

[0030] Location determination subunit: Determine the historical key locations, layout key locations, flow velocity key locations, and special key locations as key locations.

[0031] The present invention provides a farmland irrigation water quality monitoring system. For the detection module, it includes:

[0032] Abnormal parameter acquisition unit: Compare the preliminary detection data with the historical water quality data of local farmland irrigation water and common pollutant information, analyze the differences between the parameters in the preliminary detection data and the historical data, and then determine the abnormal parameters in the preliminary detection data;

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

[0034] Pollution detection unit: For the screened characteristic pollutants, use preset detection equipment to conduct targeted detection on the water sample.

[0035] The present invention provides a water quality monitoring system for farmland irrigation water. The pollution screening unit includes:

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

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

[0038] The present invention provides a water quality monitoring system for farmland irrigation water. The water quality evaluation module includes:

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

[0040] Model construction unit: Based on the complete data set including the preliminary detection and the targeted detection and a preset algorithm, establish a water quality evaluation model;

[0041] Water quality evaluation unit: Obtain the water sample data to be evaluated and input it into the water quality evaluation model, and comprehensively evaluate the water quality of the irrigation water according to the output result of the model, and then determine the comprehensive water quality evaluation result of the irrigation water;

[0042] Report generation unit: Generate a water quality evaluation report based on the comprehensive water quality evaluation result.

[0043] Compared with the prior art, the beneficial effects of the present application are as follows:

[0044] By reasonably determining the sampling time interval by using the environmental acquisition module and the water sample acquisition module, and performing multi-parameter detection in combination with the preset sensors and historical water quality data, the accuracy of the data and the efficiency of the monitoring are improved. Through the targeted detection module, characteristic pollutants can be effectively identified and screened out, reducing the risks 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 guarantee for agricultural production, reducing the workload of manual monitoring, and enhancing 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 will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

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

[0047] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention in conjunction with the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0048] Embodiment 1:

[0049] An embodiment of the present invention provides a farmland irrigation water quality monitoring system, as Figure 1 shown, including:

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

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

[0052] A water sample collection module: deploying a plurality of water sample collection devices at key positions of the farmland irrigation canal, collecting irrigation water samples based on the time interval for collecting irrigation water samples, and then obtaining a plurality of basic water samples and performing pretreatment;

[0053] Preliminary detection module: Multi-parameter preliminary detection steps: Based on a preset water quality sensor, perform preliminary detection on the pretreated water sample;

[0054] Targeted detection module: Based on the preliminary detection data, combined with the historical water quality data of local farm irrigation water and common pollutant information, screen out the possible characteristic pollutants and conduct targeted detection;

[0055] Water quality evaluation module: After fusing the preliminary detection data and the targeted detection data, establish a water quality evaluation model based on a preset algorithm, comprehensively evaluate the water quality of the irrigation water according to the model, judge whether the water quality meets the farm irrigation standard, and generate a water quality evaluation result.

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

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

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

[0059] Advantages of the above technical solution: By using the environmental collection module and the water sample collection module to reasonably determine the sampling time interval, combined with the preset sensor 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, the characteristic pollutants can be effectively identified and screened out, reducing the risk of misdetection and missed detection. The water quality evaluation module comprehensively analyzes the detection results, can evaluate in real time whether the water quality meets the irrigation standard, thus providing accurate water quality guarantee for agricultural production, reducing the workload of manual monitoring, and improving the safety and sustainability of farm irrigation.

[0060] Embodiment 2:

[0061] The embodiment of the present invention provides a farm irrigation water quality monitoring system, and the environmental collection module includes:

[0062] Parameter collection unit: According to the preset time frequency, start the preset sensor group to collect the environmental parameters of the farm irrigation canal;

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

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

[0065]

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

[0067] In this embodiment, the calculation logic is as follows: 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 violently (e.g., heavy rainfall, rapid temperature change, 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 (e.g., large pH change, high conductivity, etc.), it means that the water quality changes relatively violently, 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, for the growth stage coefficient, the water quality requirements are different in different growth stages. For example, it is 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: By combining various environmental parameters (such as water flow rate, soil humidity, light intensity, etc.) with the relevant parameters of the water sample collection device, after standardization processing, the sampling interval is scientifically set to ensure that the time interval of water sample collection matches the environmental changes, thereby improving the timeliness and accuracy of monitoring. This method effectively reduces the error of manual operation, improves the 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 farmland irrigation water quality monitoring system with a preset sensor group, including: a temperature sensor, a humidity sensor, and a light sensor for measuring the light intensity.

[0072] Beneficial effects of the above technical solution: Through the diversified configuration of the preset sensor group, the impact of environmental factors on water quality can be comprehensively monitored. Compared with the prior art, 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. Monitoring of temperature and humidity can reflect the possible physical changes in water quality, and light intensity helps analyze biological factors such as algal growth in water bodies. The design of this combined sensor improves the comprehensive monitoring ability of the system, 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] Example 4:

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

[0075] Position determination unit: Based on the layout of the farmland irrigation canal, water flow characteristics, and historical water quality conditions, determine several key positions;

[0076] Water sample collection unit: Install several water sample collection devices at the determined key positions and collect irrigation water samples at time intervals.

[0077] Water sample collection unit: Based on the water sample collection device, collect the collected irrigation water samples into several labeled sample containers corresponding to each water sample collection device, thereby obtaining several basic water samples. Among them, each sample container corresponds to a collection position and collection time;

[0078] Water sample filtration unit: Conduct preliminary filtration on the collected basic water samples to remove large particle impurities and suspended solids in the basic water samples;

[0079] Water sample pretreatment unit: Add a preset buffer to the preliminarily filtered water sample to adjust the pH value of the water sample to an appropriate range, thereby completing the pretreatment of the water sample.

[0080] In this embodiment, based on the water sample collection device, the collected irrigation water samples are collected into several labeled sample containers corresponding to each water sample collection device, thereby obtaining several basic water samples, including: Container preparation: Prepare several labeled sample containers, and the label includes the corresponding water sample collection device number. Device deployment: Deploy the water sample collection device at the key position of the irrigation canal. Time setting: Determine the collection time interval according to environmental parameters, etc. Water sample collection: When the set time arrives, the water sample collection device is started to collect irrigation water from the canal. Water sample collection: Collect the collected water samples into the corresponding labeled sample containers, and one container corresponds to one collection position and collection time. Information recording: Record the collection position and time corresponding to each sample container for subsequent analysis.

[0081] In this embodiment, the preset buffer agents include: For general acid-base adjustment: Phosphate buffer solution, Composition: Usually prepared by mixing potassium dihydrogen phosphate and disodium hydrogen phosphate in different proportions. Applicable situation: It can buffer the pH value of the water sample in the nearly neutral range of 6.0 - 8.0, and is applicable to most conventional water quality detection items. Since the growth of most microorganisms and most chemical reactions are relatively stable in a nearly neutral environment, when subsequent detection of indicators such as the number of microorganisms in water and the concentration of common cations and anions is required, phosphate buffer solution is a good choice. Borate buffer solution, Composition: Consists of boric acid and borax. Applicable situation: It can maintain the pH of the water sample in the weakly alkaline range of 7.4 - 9.0. If the subsequent detection focuses on substances that stably exist or react under weakly alkaline conditions, such as certain heavy metal ions are more likely to form specific complexes for detection in a weakly alkaline environment, borate buffer solution can be selected. For special detection requirements: Acetic acid - sodium acetate buffer solution, Composition: Consists of acetic acid and sodium acetate. Applicable situation: Its buffer range is in the weakly acidic range of 4.0 - 5.5. When the detection item involves substances that are stable or have specific reactions in a weakly acidic environment, such as detecting certain organic acids and performing specific enzyme activity assays (some enzymes have the best activity under weakly acidic conditions), this buffer solution is more suitable. Tris - HCl buffer solution, Composition: Prepared with tris(hydroxymethyl)aminomethane (Tris) and hydrochloric acid (HCl). Applicable situation: It can provide good buffering capacity in the pH range of 7.0 - 9.2. When conducting some detections with high requirements for ionic strength and buffering capacity, such as molecular biology - related detections (detecting viral nucleic acids in water), Tris - HCl buffer solution can meet the strict requirements of the detection system for pH stability.

[0082] Beneficial effects of the above technical solution: Through the position determination unit combined with the layout of farmland water channels and historical water quality data, the selection of sampling points is optimized to ensure that key positions are fully monitored. The water sample filtration unit and the pretreatment unit further improve the quality of the water sample, remove large - particle impurities and suspended substances, and adjust the acidity and alkalinity by adding buffer agents, making the detection results of the water sample more stable and accurate. Each water sample corresponds to a clear collection position and time, improving the traceability of the data. This series of optimization measures effectively reduce the errors in the water sample treatment process, enhance the scientificity and practicality of the monitoring system, and provide stronger support for the comprehensive assessment of farmland water quality.

[0083] Example 5:

[0084] An embodiment of the present invention provides a monitoring system for the water quality of farmland irrigation water. The position determination unit includes:

[0085] Historical analysis subunit: Obtain historical water quality monitoring reports, and then analyze historical water quality data to determine the locations of historical water quality exceeding the standard and abnormal changes as historical key locations;

[0086] Layout analysis subunit: Obtain and analyze the canal layout data, and then determine the locations of the canal inlet and outlet, as well as all the turning points and the branch points for farmland irrigation, and determine the locations of the canal inlet and outlet, all the turning points and the branch points for farmland irrigation as layout key locations;

[0087] Flow velocity analysis subunit: Based on the current meter equipment, measure the water flow velocity and water level changes at different locations of the canal, and then divide the canal into several flow velocity regions, and determine the connection points of each adjacent flow velocity region as flow velocity key locations;

[0088] Water flow analysis subunit: Based on the water flow pattern in the canal, determine the locations of special water flows, and determine the locations of special water flows as special key locations;

[0089] Location determination subunit: Determine the historical key locations, layout key locations, flow velocity key locations and special key locations as key locations.

[0090] In this embodiment, the flow velocity regions include: high-speed region, medium-speed region and low-speed region. The water flow in the high-speed region is conducive to the dilution and diffusion of pollutants, while the low-speed region may lead to the accumulation of pollutants. For regions with obvious changes in flow velocity, such as the place where the wide canal enters the narrow canal, the place where the water flow is blocked by obstacles, etc., select locations that can represent different water flow velocity states in these regions as potential key locations. At the same time, avoid setting sampling points at locations where the water flow velocity is too fast or too slow to accurately collect water samples.

[0091] In this embodiment, the locations of special water flows are determined as special key locations: For locations with special water flow phenomena such as vortices and backflows, since the water flow in these regions is relatively complex, it may lead to local accumulation or uneven mixing of pollutants. Set sampling points near these locations to monitor the water quality changes under special water flow conditions. For water flow stagnation or slow flow regions, such as dead water regions, slow flow zones at the edge of the canal, etc., these regions are prone to form anaerobic environments, promoting the growth and reproduction of microorganisms and resulting in water quality deterioration. Select representative locations in these regions as potential key locations.

[0092] Advantages of the above technical solution: The selection of water sample collection locations is optimized through a multi-dimensional analysis method, improving the accuracy and comprehensiveness of monitoring. Compared with the prior art, the historical analysis subunit ensures priority monitoring of areas with frequent water quality problems through the analysis of historical water quality data. The layout analysis subunit combines the canal layout to ensure comprehensive monitoring of key positions such as canal inlets and outlets, turning points, and branch points. The flow velocity analysis subunit divides the flow velocity regions based on the water flow velocity and water level changes, effectively determining the regions with large flow velocity changes for key monitoring. The water flow analysis subunit identifies regions with special water flow patterns, further enhancing the pertinence of monitoring. By comprehensively considering multiple factors to locate key positions, water quality monitoring becomes more comprehensive and scientific, ensuring the representativeness of water sample collection and the reliability of data.

[0093] Example 6:

[0094] An embodiment of the present invention provides a farmland irrigation water quality monitoring system. For the detection module, it includes:

[0095] Abnormal parameter acquisition unit: Compare the preliminary detection data with the historical water quality data of local farmland irrigation water and common pollutant information, analyze the differences between the parameters in the preliminary detection data and the historical data, and then determine the abnormal parameters in the preliminary detection data;

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

[0097] Pollution detection unit: For the screened characteristic pollutants, use preset detection equipment to conduct targeted detection on the water sample.

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

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

[0100] In this embodiment, targeted detection is carried out to obtain the 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 prior art, 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 detection and improving the detection efficiency. The pollution detection unit conducts in-depth analysis of characteristic pollutants in a targeted manner to ensure the 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] An embodiment of the present invention provides a farmland irrigation water quality monitoring system. The pollution screening unit includes:

[0104] The correlation analysis subunit: Based on common pollutant information, establish a correlation model between abnormal parameters and possible pollutants, and conduct correlation analysis;

[0105] The result screening subunit: Based on the results of the correlation analysis, screen out possible characteristic pollutants related to the abnormal parameters from the list of common pollutants.

[0106] In this embodiment, an association model is established: The association analysis is based on existing common pollutant data and environmental factors (such as water flow rate, water temperature, soil humidity, etc.). Through mathematical models or statistical methods, the detected abnormal water quality parameters (such as pH value, conductivity, turbidity, etc.) are associated with possible pollutants. Association rule mining: By analyzing historical water quality data, it is possible to discover which pollutants will cause changes in specific parameters. For example, when the pH value of the water quality in a certain area is found to be abnormal, it may be associated with specific types of pollutants (such as pesticides, heavy metals, etc.). Example: Suppose 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 farm irrigation water contains a relatively high concentration of nitrides or pesticides. Through association analysis, the system will infer that these two pollutants may be the reasons for the decrease in pH value and the increase in conductivity. The specific steps are as follows: The system discovers through historical data that nitrides are often associated with a decrease in pH value. At the same time, historical data shows that the presence of pesticides will also cause an increase in conductivity. Through association analysis, the system can infer that these two pollutants are the possible reasons for the abnormal water quality. Finally, the result screening unit, based on this analysis result, screens out nitrides and pesticides from the list of common pollutants and preferentially conducts subsequent detections on these two pollutants, avoiding comprehensive detections of all pollutants, saving time and cost, and at the same time improving the detection accuracy.

[0107] 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 prior art, the association analysis subunit uses common pollutant information to establish an association model between abnormal parameters and potential pollutants, and can accurately identify the pollutants related to abnormal data. This model effectively reduces the detection range, avoids redundant screening of all pollutants, and significantly improves the monitoring efficiency. The result screening unit accurately screens out possible characteristic pollutants based on the association analysis result, reducing the risk of false detection and missed detection. This refined pollution screening method makes the water quality monitoring of farm irrigation water more targeted and scientific, and improves the response speed and accuracy of the system to water quality problems.

[0108] Embodiment 8:

[0109] An embodiment of the present invention provides a water quality monitoring system for farm irrigation water, and a water quality evaluation module, including:

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

[0111] Model construction unit: Establish a water quality evaluation model based on the complete data set including preliminary detection and targeted detection 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. Based on the output results of the model, comprehensively evaluate the water quality of the irrigation water, and then determine the comprehensive water quality evaluation result of the irrigation water;

[0113] Report generation unit: Generate a water quality evaluation report based on the comprehensive water quality evaluation result.

[0114] In this embodiment, the processing is to clean the integrated data, removing outliers and incorrect data. For example, by using statistical analysis methods to determine whether the data is within a reasonable range, and correcting or removing the data that exceeds the range. Result: Obtain a clean and accurate data set, improving the accuracy of the water quality evaluation model.

[0115] In this embodiment, the principle of the water quality evaluation model: First, the system integrates the preliminary detection data (such as pH value, conductivity, etc.) and the targeted detection 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 preset algorithms (such as weighted average method, multiple regression analysis, machine learning algorithms, etc.), construct a water quality evaluation model. This model can comprehensively evaluate the quality of water according to the changes of 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 algorithms, such as "qualified", "slightly polluted", "moderately polluted" or "severely polluted", etc. Example: Assume that during the monitoring of farmland irrigation water, the system collects the following data: Preliminary detection data: pH value = 6.5 (normal range 6 - 8), conductivity = 1.5 mS / cm (normal range 1 - 2 mS / cm). Targeted detection data: Pesticide residue = 0.05 mg / L (exceeding the safety standard of 0.01 mg / L), nitride = 5 mg / L (normal range 1 - 3 mg / L). After being processed by the data integration unit, these data construct a complete data set. Then, through the analysis of the water quality evaluation model, the model will consider the harm degree of different pollutants and their impact on water quality. For example, the excessive pesticide residue and nitride may have a greater impact on water quality, so the model output result may be "moderately polluted".

[0116] Advantages of the above technical solution: By integrating multiple data sources and scientific modeling, the accuracy and reliability of water quality assessment are improved. Compared with the prior art, the data integration unit combines the preliminary detection data and the targeted detection data to ensure comprehensive water quality analysis. The model construction unit constructs a more accurate water quality evaluation model based on the complete data set and the preset algorithm, which can comprehensively consider the influence of various factors on water quality. The water quality evaluation unit provides an accurate comprehensive water quality evaluation result based on this model, avoiding the limitations of single parameters. The report generation unit generates a detailed water quality evaluation report according to the comprehensive result, providing strong decision-making support for farmland irrigation management. This system greatly improves the scientificity, real-time performance 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 and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate 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: performs preliminary detection on 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; 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: ； in, is the irrigation water flow, is the capacity of the water sample collection device, is the sampling rate, is the pH value of water, For water temperature, is the electrical conductivity of water, is the average rate of change of ambient temperature, is soil moisture, is the preset crop growth stage coefficient, is the light intensity; 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 of the water sample to an appropriate range, and then complete the pretreatment of the water sample; 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.

2. 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.

3. A farmland irrigation water quality monitoring system according to claim 1, 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.

4. A farmland irrigation water quality monitoring system according to claim 1, 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 subunit: Based on the results of association analysis, possible characteristic pollutants related to abnormal parameters are screened out from the list of common pollutants.

5. 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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