Precision control system and method for trace elements in nutrient solution based on chromatographic data analysis

Abstract

The present invention discloses a precise control system and method for trace elements in nutrient solution based on chromatographic data analysis, which relates to the technical field of element control systems. It monitors multiple data of each trace element delivery component in real time, predicts the health status of the delivery component based on multiple data, and analyzes whether the delivery component supports use. If supported, the influence coefficient of each trace element is calculated according to the expected concentration and the actual concentration. After combining the influence coefficient with the health status analysis result of the delivery component, the delivery component is controlled to supplement the trace elements to the nutrient solution according to the dynamically corrected trace element supplement concentration. The control system analyzes the health status of the delivery component. First, it can identify the delivery component that does not support use and remind the management personnel to replace it. Second, it can dynamically correct the trace element supplement concentration of the delivery component when the health status of the delivery component decreases slightly, thereby improving the production efficiency of the nutrient solution.

Description

Technical Field

[0001] The present invention relates to the technical field of element control systems, and in particular to a precise control system and method for trace elements in a nutrient solution based on chromatographic data analysis. Background Art

[0002] Plant growth requires various nutrients, especially nitrogen, phosphorus, potassium, calcium, magnesium and trace elements (such as iron, manganese, zinc, copper, etc.). In hydroponics or other controlled environments, the trace elements in the nutrient solution must be maintained in an appropriate concentration range. Excess or deficiency may have an adverse effect on plant growth. However, due to environmental changes, the demand for trace elements will fluctuate, so accurate nutrient solution formulation and real-time monitoring become particularly important. The control system is designed to achieve precise control of trace elements by real-time monitoring and analysis of the nutrient solution components in the plant growth environment, thereby optimizing the nutrient supply of the plant and ensuring its healthy growth.

[0003] The prior art has the following defects:

[0004] Nutrient solution is usually obtained by mixing multiple trace elements. In order to facilitate the delivery of different types of trace elements, multiple delivery components are usually set up to deliver different trace elements. However, in actual applications, when the health status of the delivery component declines, the trace element concentration in the nutrient solution may decrease. In the prior art, when the trace element concentration in the nutrient solution decreases, the trace element concentration that needs to be supplemented is usually obtained by calculating through the delivery component. However, due to the decline in the health status of the delivery component, multiple supplements may be required (that is, the trace element concentration of each supplement is lower than the ideal trace element concentration), thereby reducing the production efficiency of the nutrient solution.

[0005] Based on this, the present invention proposes a precise control system and method for trace elements in nutrient solution based on chromatographic data analysis. By analyzing the health status of the conveying components, it can, firstly, identify the conveying components that are not supported for use and remind the management personnel to replace them; secondly, it can dynamically correct the trace element supplement concentration of the conveying components when the health status of the conveying components decreases slightly, thereby improving the production efficiency of the nutrient solution. Summary of the invention

[0006] The purpose of the present invention is to provide a precise control system and method for trace elements in nutrient solution based on chromatographic data analysis to overcome the shortcomings of the background technology.

[0007] In order to achieve the above object, the present invention provides the following technical solution: a method for accurately controlling trace elements in nutrient solution based on chromatographic data analysis, the control method comprising the following steps:

[0008] The control system obtains the trace element information contained in the nutrient solution and the information of each trace element delivery component, and after initially marking different trace element delivery components, establishes a component list;

[0009] Before mixing the nutrient solution, monitor multiple data of each trace element delivery component in real time, predict the health status of the delivery component based on multiple data, and analyze whether the delivery component can be used;

[0010] If supported, the trace elements are transported to the mixing device through the transport component. After all the trace elements are transported to the mixing device, the nutrient solution in the mixing device is sampled by a chromatograph to obtain chromatographic data, the actual concentration of each trace element is calculated using the chromatographic data, and the influence coefficient of each trace element is calculated based on the expected concentration and the actual concentration;

[0011] After combining the influence coefficient with the health status analysis result of the conveying component, the trace element supplementation concentration of the conveying component is dynamically corrected, and the control system controls the conveying component to supplement the trace elements to the nutrient solution according to the dynamically corrected trace element supplementation concentration.

[0012] In a preferred embodiment, before the nutrient solution is mixed, multiple data of each trace element delivery component are monitored in real time, including the following steps:

[0013] Real-time monitoring of multiple data of each trace element delivery component, including multi-component response speed deviation index, sensor offset and pipeline flow attenuation index.

[0014] In a preferred embodiment, after predicting the health status of the delivery component based on multiple data, analyzing whether the delivery component supports use includes the following steps:

[0015] The obtained multi-component response speed deviation index, sensor offset and pipeline flow attenuation index are comprehensively calculated to obtain the abnormal coefficient of the conveying component;

[0016] Compare the acquired abnormal coefficient with a preset first coefficient threshold and a second coefficient threshold, wherein the first coefficient threshold is used to analyze whether there is an abnormality in the conveying component, and the second coefficient threshold is used to analyze the severity of the abnormality in the conveying component;

[0017] If the abnormal coefficient is less than or equal to the first coefficient threshold, it is analyzed that there is no abnormality in the conveying component;

[0018] If the abnormal coefficient is greater than the first coefficient threshold, and if the abnormal coefficient is less than or equal to the second coefficient threshold, it is analyzed that there is a slight abnormality in the conveying component;

[0019] If the abnormal coefficient is greater than the second coefficient threshold, it is analyzed that there is a serious abnormality in the conveying component;

[0020] When it is analyzed that there is no abnormality or a slight abnormality in the conveying component, it is determined that the conveying component can be used; when it is analyzed that there is a serious abnormality in the conveying component, it is determined that the conveying component cannot be used.

[0021] In a preferred embodiment, the acquired multi-component response speed deviation index, sensor offset and pipeline flow attenuation index are comprehensively calculated to obtain the abnormal coefficient of the conveying component, and the expression is: , where is the abnormal coefficient, is the multi-component response speed deviation index, is the sensor offset, is the pipeline flow attenuation index, , , are the adjustment coefficients of the multi-component response speed deviation index, sensor offset, and pipeline flow attenuation index, respectively, and , , Both are greater than 0.

[0022] In a preferred embodiment, the influence coefficient of each trace element is calculated according to the expected concentration and the actual concentration, comprising the following steps:

[0023] After obtaining the actual concentration and expected concentration of trace elements, the influence coefficient of the conveying component is calculated, and the expression is: , where is the influence coefficient, is the actual concentration, is the expected concentration.

[0024] In a preferred embodiment, after combining the influence coefficient with the health status analysis result of the conveying component, dynamically correcting the trace element supplementation concentration of the conveying component includes the following steps:

[0025] Obtain the abnormal coefficient of the conveying component with slight abnormality. The larger the abnormal coefficient, the worse the health status of the conveying component, and the faster the concentration of trace elements conveyed by the conveying component decreases;

[0026] After combining the influence coefficient with the health status analysis results of the conveying component, the trace element supplement concentration of the conveying component is dynamically corrected, and the expression is: , where The concentration of trace elements supplemented after dynamic correction, is the trace element supplement concentration before dynamic correction, is the abnormal coefficient, is the influence coefficient.

[0027] In a preferred embodiment, the calculation logic of the multi-component response speed deviation index is as follows: obtaining the number of components that need to be electrically controlled in the conveying assembly, obtaining the actual response speed of each component, subtracting the actual response speed from the standard response speed of the component to obtain the response speed deviation, and summing the response speed deviations of multiple components to obtain the multi-component response speed deviation index;

[0028] The calculation logic of the sensor offset is: obtain the actual flow value detected by the sensor, and obtain the standard flow value through the standard device detection, and subtract the actual flow value from the standard flow value to obtain the sensor offset;

[0029] The calculation logic of the pipeline flow attenuation index is: the trace element flow at the feed end and the discharge end of the conveying pipeline is obtained through a pressure sensor, and the pipeline flow attenuation index is obtained by subtracting the trace element flow at the discharge end from the trace element flow at the feed end.

[0030] A precise control system for trace elements in nutrient solution based on chromatographic data analysis, including a component list building module, a health status analysis module, a chromatographic detection module, and a dynamic correction module;

[0031] Component list building module: obtains the trace element information contained in the nutrient solution and the information of each trace element delivery component, initially marks different trace element delivery components, and then builds a component list;

[0032] Health status analysis module: Before mixing the nutrient solution, multiple data of each trace element delivery component are monitored in real time. After predicting the health status of the delivery component based on multiple data, the delivery component is analyzed to see whether it can be used. The analysis results are sent to the chromatographic detection module.

[0033] Chromatographic detection module: If supported, the trace elements are transported to the mixing device through the transport component. After all the trace elements are transported to the mixing device, the nutrient solution in the mixing device is sampled by the chromatograph to obtain chromatographic data, and the actual concentration of each trace element is calculated using the chromatographic data. The influence coefficient of each trace element is calculated based on the expected concentration and the actual concentration;

[0034] Dynamic correction module: after combining the influence coefficient with the health status analysis result of the conveying component, dynamically correct the trace element supplementation concentration of the conveying component, and control the conveying component to supplement the trace elements to the nutrient solution according to the dynamically corrected trace element supplementation concentration.

[0035] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0036] The present invention monitors multiple data of each trace element delivery component in real time, predicts the health status of the delivery component based on the multiple data, and analyzes whether the delivery component supports use. If it supports, the trace element is delivered to the mixing device through the delivery component, and the influence coefficient of each trace element is calculated according to the expected concentration and the actual concentration. After combining the influence coefficient with the health status analysis result of the delivery component, the trace element supplement concentration of the delivery component is dynamically corrected, and the control system controls the delivery component to supplement the trace elements to the nutrient solution according to the dynamically corrected trace element supplement concentration. By analyzing the health status of the delivery component, the control system can firstly identify the delivery component that is not supported for use and remind the management personnel to replace it, and secondly, it can dynamically correct the trace element supplement concentration of the delivery component when the health status of the delivery component decreases slightly, thereby improving the production efficiency of the nutrient solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0038] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments 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.

[0040] Example 1: Please refer to Figure 1 As shown, the method for accurately controlling trace elements in nutrient solution based on chromatographic data analysis described in this embodiment includes the following steps:

[0041] The control system obtains information about trace elements contained in the nutrient solution and information about each trace element delivery component, initially marks different trace element delivery components, and then creates a component list. Before mixing the nutrient solution, it monitors multiple data of each trace element delivery component in real time, predicts the health status of the delivery component based on multiple data, and then analyzes whether the delivery component supports use. If supported, the trace elements are delivered to the mixing device through the delivery component. After all trace elements are delivered to the mixing device, the nutrient solution in the mixing device is sampled by a chromatograph to obtain chromatographic data, and the actual concentration of each trace element is calculated using the chromatographic data. The influence coefficient of each trace element is calculated based on the expected concentration and the actual concentration. After combining the influence coefficient with the health status analysis result of the delivery component, the trace element supplementation concentration of the delivery component is dynamically corrected. The control system controls the delivery component to supplement the nutrient solution with trace elements based on the dynamically corrected trace element supplementation concentration.

[0042] The application scenarios of this application are as follows:

[0043] 1) Greenhouse crop cultivation in modern agriculture

[0044] Application scenarios: The demand for trace elements of crops such as tomatoes and cucumbers grown in greenhouses is precise and changes dynamically.

[0045] Implementation process:

[0046] The system monitors the growth stage of crops in real time and adjusts the ratio of trace elements in the nutrient solution (such as iron, zinc, calcium, etc.).

[0047] If the health status of a conveying component declines (such as abnormal pump pressure), the system dynamically corrects the ratio and replenishes the required trace elements.

[0048] Use a chromatograph to regularly test the concentration of the nutrient solution to ensure that it meets the needs of the crops at different stages.

[0049] Benefits: Improve crop quality, reduce fertilizer waste, and achieve precise fertilization.

[0050] 2) Nutrient solution management for hydroponic systems

[0051] Application scenario: Growing crops such as lettuce and strawberries in a hydroponic system requires the concentration of trace elements in the nutrient solution to be stable over a long period of time.

[0052] Implementation process:

[0053] The system monitors the trace element consumption of the hydroponic tank and dynamically adjusts the concentration output of the delivery components based on real-time data.

[0054] The chromatograph detects the actual concentration of trace elements in the water and combines it with the health status of the components to avoid insufficient or excessive delivery.

[0055] Benefits: Extend the service life of the hydroponic system and avoid water quality problems caused by excessive trace elements.

[0056] 3) Cultivation of special plants in the industrial field

[0057] Application scenarios: Medicinal plants (such as ginseng and Panax notoginseng) have high and time-sensitive demands for specific trace elements (such as selenium and manganese).

[0058] Implementation process:

[0059] Accurately proportion the concentration of trace elements according to the growth cycle of medicinal plants.

[0060] If the chromatographic analysis shows that the concentration of an element is low, the system automatically optimizes the replenishment of the conveying component.

[0061] At the same time, health status prediction reduces production interruptions that may be caused by failure of conveyor components.

[0062] Benefits: Increase the content of active ingredients in medicinal plants and increase their economic value.

[0063] 4) Vertical farming system for urban greening

[0064] Application scenario: Growing vegetables, herbs and other crops in urban vertical farms requires saving resources and space.

[0065] Implementation process:

[0066] The system monitors the flow status of nutrient solution on each layer of the multi-layer planting rack, detects and dynamically adjusts the concentration of trace elements.

[0067] The health status analysis results are used to promptly warn of maintenance needs for delivery components to avoid paralysis of the entire implant system.

[0068] Benefits: Reduce maintenance costs and improve resource utilization.

[0069] 5) Research-based planting platform in biological laboratories

[0070] Application scenario: Plant growth experiments in the laboratory require precise control of the proportion of trace elements in the nutrient solution.

[0071] Implementation process:

[0072] The system sets the target concentration according to the experimental objectives and achieves precise trace element delivery through real-time monitoring and dynamic compensation.

[0073] The chromatographic data were used to compare the differences in nutrient solutions between the experimental and control groups and to further optimize the experimental conditions.

[0074] Benefits: Ensure the accuracy and repeatability of experimental data.

[0075] This application monitors multiple data of each trace element delivery component in real time, predicts the health status of the delivery component based on multiple data, and analyzes whether the delivery component supports use. If it does, the trace elements are delivered to the mixing device through the delivery component, and the influence coefficient of each trace element is calculated based on the expected concentration and the actual concentration. After combining the influence coefficient with the health status analysis results of the delivery component, the trace element supplement concentration of the delivery component is dynamically corrected, and the control system controls the delivery component to supplement the nutrient solution with trace elements based on the dynamically corrected trace element supplement concentration. By analyzing the health status of the delivery component, the control system can firstly identify the delivery component that is not supported for use and remind the management personnel to replace it, and secondly, it can dynamically correct the trace element supplement concentration of the delivery component when the health status of the delivery component decreases slightly, thereby improving the production efficiency of the nutrient solution.

[0076] Embodiment 2: The control system obtains the trace element information contained in the nutrient solution and obtains the information of each trace element delivery component, and after initially marking different trace element delivery components, establishes a component list, including the following steps:

[0077] Delivery component identification: Based on the system configuration, the control system identifies the delivery components for each trace element. These components can be pipes, pumps, valves, sensors, etc., used to deliver specific trace elements to the nutrient solution.

[0078] Component parameter records: record the key parameters of each conveying component, including its type, capacity, flow range, response speed, maintenance cycle, etc. Ensure that each component can meet the precise control requirements of trace elements.

[0079] Component labeling and classification: Assign a unique identifier or label (such as ID) to each trace element delivery component and classify them according to their function or characteristics. For example, some components are specifically used to deliver nitrogen fertilizers, while others are used to deliver potassium fertilizers or trace elements.

[0080] Tag information storage: The tag information of each conveying component is associated with the trace element to which it belongs and stored in the system database. Each trace element corresponds to one or more conveying components, and the system can quickly find and access relevant information.

[0081] Component information integration: After acquiring and marking the transport components of each trace element, the control system integrates the information of all components to form a complete component list. The list contains the information of each trace element and its corresponding transport component.

[0082] List format design: The component list should include the following information:

[0083] Names of trace elements (such as iron, zinc, copper, etc.).

[0084] Unique identifier (ID) of the conveyor component.

[0085] Type and size of conveying components (e.g. pumps, valves, sensors, etc.).

[0086] Technical parameters of the components (such as flow range, response time, operating pressure, etc.).

[0087] Component status information (such as working status, fault information, etc.).

[0088] List storage and update: The component list is stored in the control system database and updated in real time during actual operation. Whenever a new component is added or an existing component is maintained / replaced, the list is automatically updated.

[0089] Verify information accuracy: The system verifies that the marking is correct by actually testing and comparing the marked components, ensuring that each trace element delivery component functions properly and can provide the predetermined flow and concentration control.

[0090] Adjustment and optimization: Based on the data monitored by the system, if it is found that the performance of certain conveying components is insufficient or cannot meet the needs, the component markings can be adjusted or the equipment can be upgraded to ensure precise control.

[0091] Dynamically update the component list: As the system runs, equipment failures, replacements, or optimizations may occur, and the component list should be dynamically updated. The system can automatically record any component changes and maintain the latest conveyor component configuration.

[0092] Historical data archiving: The system should retain the historical records of each component marking, adjustment or update to facilitate later analysis and tracing.

[0093] By acquiring the trace element information in the nutrient solution and initially marking each trace element delivery component, the control system can accurately establish and manage a component list. This list provides a solid foundation for subsequent precise control and real-time adjustment, and provides support for efficient operation, fault warning, maintenance and optimization of the system.

[0094] Before mixing the nutrient solution, multiple data of each trace element delivery component are monitored in real time, including the following steps:

[0095] Real-time monitoring of multiple data of each trace element delivery component, including multi-component response speed deviation index, sensor offset and pipeline flow attenuation index;

[0096] The calculation logic of the multi-component response speed deviation index is as follows: obtain the number of components that need to be electrically controlled in the conveying assembly, obtain the actual response speed of each component, subtract the actual response speed from the standard response speed of the component to obtain the response speed deviation, and sum the response speed deviations of multiple components to obtain the multi-component response speed deviation index.

[0097] Relationship with the health status of conveying components:

[0098] The larger the deviation index is, the more significant the difference between the response speed of each component in the conveying assembly and the standard value is, which may indicate:

[0099] Aging components or mechanical failures lead to slow response.

[0100] Control signal delay or electronic control system abnormality.

[0101] Deterioration in health status: When the deviation index is large, it means that the overall operating efficiency and coordination of the conveying components are affected and the health status is deteriorating.

[0102] Relationship with the decrease in trace element concentration:

[0103] The larger the deviation index is, the lower the accuracy of trace element delivery may be, as shown in the following:

[0104] The delivery flow rate is not adjusted in time, and the concentration of trace elements cannot be accurately adjusted as needed.

[0105] The system responds slowly, resulting in concentration fluctuations or instability, and ultimately insufficient supply of trace elements.

[0106] The calculation logic of the sensor offset is: obtain the actual flow value detected by the sensor, and obtain the standard flow value through the standard device detection, and subtract the actual flow value from the standard flow value to obtain the sensor offset;

[0107] Relationship with the health status of conveying components:

[0108] The larger the offset, the more the sensor value deviates from the actual value. This may indicate:

[0109] The sensor is aged, damaged, or poorly calibrated.

[0110] Sensors are affected by environmental disturbances (such as temperature, humidity, vibration, etc.).

[0111] Degraded health: Reduced sensor accuracy can lead to erroneous data inputs, which can affect control decisions and operating efficiency of conveying components.

[0112] Relationship with the decrease in trace element concentration:

[0113] Larger offsets may result in:

[0114] The system regulates delivery based on erroneous detection values, resulting in insufficient concentration of trace elements.

[0115] Long-term deviations may cumulatively affect plant nutrient absorption, leading to reduced crop growth.

[0116] The calculation logic of pipeline flow attenuation index is as follows: obtain the trace element flow at the feed end and the discharge end of the conveying pipeline through the pressure sensor, and subtract the trace element flow at the discharge end from the trace element flow at the feed end to obtain the pipeline flow attenuation index. The larger the pipeline flow attenuation index, the more serious the blockage or leakage of the conveying pipeline.

[0117] Relationship with the health status of conveying components:

[0118] The larger the attenuation index is, the greater the difference between the feed flow rate and the discharge flow rate of the conveying pipeline is, which may reflect:

[0119] The pipe is blocked (such as by sediment, scaling or foreign matter).

[0120] Pipeline leaks (such as cracks due to aging or loose connections).

[0121] Degraded health: Pipeline problems can directly lead to reduced efficiency in the delivery of trace elements, compromising the overall performance of the component.

[0122] Relationship with the decrease in trace element concentration:

[0123] The larger the decay exponent, the more likely it is that:

[0124] The flow rate of trace elements is reduced during the transportation process, resulting in insufficient concentration.

[0125] In severe cases, it may even cause system operation to be interrupted and unable to meet plant needs.

[0126] After predicting the health status of the conveyor component based on multiple data, analyzing whether the conveyor component is supportable for use includes the following steps:

[0127] The obtained multi-component response speed deviation index, sensor offset and pipeline flow attenuation index are comprehensively calculated to obtain the abnormal coefficient of the conveying component, and the expression is:

[0128] , where is the abnormal coefficient, is the multi-component response speed deviation index, is the sensor offset, is the pipeline flow attenuation index, , , are the adjustment coefficients of the multi-component response speed deviation index, sensor offset, and pipeline flow attenuation index, respectively, and , , All are greater than 0;

[0129] The larger the abnormal coefficient is, the worse the health status of the conveying component is. The acquired abnormal coefficient is compared with the preset first coefficient threshold and second coefficient threshold. The first coefficient threshold is used to analyze whether there is an abnormality in the conveying component, and the second coefficient threshold is used to analyze the severity of the abnormality of the conveying component.

[0130] If the abnormal coefficient is less than or equal to the first coefficient threshold, it is analyzed that there is no abnormality in the conveying component;

[0131] If the abnormal coefficient is greater than the first coefficient threshold, and if the abnormal coefficient is less than or equal to the second coefficient threshold, it is analyzed that there is a slight abnormality in the conveying component;

[0132] If the abnormal coefficient is greater than the second coefficient threshold, it is analyzed that there is a serious abnormality in the conveying component;

[0133] When it is analyzed that there is no abnormality or a slight abnormality in the conveying component, it is determined that the conveying component can be used; when it is analyzed that there is a serious abnormality in the conveying component, it is determined that the conveying component cannot be used.

[0134] If supported, the trace elements are transported to the mixing device through the transport component. After all the trace elements are transported to the mixing device, the nutrient solution in the mixing device is sampled by a chromatograph to obtain chromatographic data, and the actual concentration of each trace element is calculated using the chromatographic data. The influence coefficient of each trace element is calculated based on the expected concentration and the actual concentration, including the following steps:

[0135] Trace element delivery: The control system starts the delivery component to deliver different types of trace elements to the mixing equipment at the set flow rate, speed and time. The delivery component includes:

[0136] The flow control device (pump or valve) adjusts the delivery flow of each trace element.

[0137] Pressure sensors and flow sensors monitor the delivery status in real time.

[0138] Real-time monitoring and adjustment: According to the feedback from the sensor, the working parameters of each component are dynamically adjusted to ensure that the delivery of all trace elements meets the expectations. If an abnormality is detected (such as insufficient flow or blockage), the system will promptly alarm and automatically correct it.

[0139] Flow stability check: Confirms that the flow of all trace elements reaches steady state and is delivered to the mixing equipment for a specified period of time.

[0140] Termination signal for conveying: When the conveying of all trace elements is completed, the control system sends a stop command to the conveying component to ensure that there is no excess conveying.

[0141] Mixing start: The mixing equipment starts the stirring system to fully mix the different trace elements. The stirring speed and time are set by the control system to ensure mixing uniformity.

[0142] Uniformity detection: The system uses the sampling port or built-in sensor in the mixing device to preliminarily detect the uniformity of the nutrient solution. If the concentration difference is large, adjust the mixing parameters and extend the mixing time.

[0143] Nutrient solution sampling: After mixing is completed, extract the nutrient solution sample through the sampling interface of the mixing equipment to ensure that the sampling volume meets the chromatograph analysis requirements.

[0144] Chromatographic analysis: The sampled nutrient solution is injected into the chromatograph, which performs the following steps:

[0145] Separation: The chromatograph separates the different trace elements in the mixed sample to form chromatographic peaks.

[0146] Detection: Record the signal intensity and retention time of each chromatographic peak through a detector (such as UV, mass spectrometry, etc.).

[0147] Generate data: The chromatograph outputs the analysis results, including raw data such as peak area and retention time of each trace element.

[0148] Calibration curve comparison: Using the established standard calibration curve, match the peak area in the chromatographic data with the calibration curve and calculate the actual concentration of each trace element. The expression is:

[0149] , where is the actual concentration, is the concentration conversion factor of the calibration curve, is the area of ​​the chromatographic peak.

[0150] After obtaining the actual concentration and expected concentration of trace elements, the influence coefficient of the conveying component is calculated, and the expression is: , where is the influence coefficient, is the actual concentration, is the expected concentration. The larger the influence coefficient is, the smaller the actual concentration of the trace element is and the further it deviates from the expected concentration.

[0151] After combining the influence coefficient with the health status analysis result of the conveying component, the trace element supplement concentration of the conveying component is dynamically corrected, and the control system controls the conveying component to supplement the trace elements to the nutrient solution according to the dynamically corrected trace element supplement concentration, including the following steps:

[0152] Obtain the abnormal coefficient of the conveying component with slight abnormality. The larger the abnormal coefficient, the worse the health status of the conveying component, and the faster the concentration of trace elements conveyed by the conveying component decreases;

[0153] After combining the influence coefficient with the health status analysis results of the conveying component, the trace element supplement concentration of the conveying component is dynamically corrected, and the expression is: , where The concentration of trace elements supplemented after dynamic correction, is the trace element supplement concentration before dynamic correction, is the abnormal coefficient, is the influence coefficient;

[0154] In the present application, the larger the abnormal coefficient is, the more the concentration of trace elements delivered by the delivery component decreases, therefore, the trace element supplementation concentration needs to be increased; the larger the influence coefficient is, the smaller the actual concentration of the trace elements is, and the greater the deviation from the expected concentration is, therefore, the trace element supplementation concentration needs to be increased.

[0155] The trace element supplementation concentration was obtained by subtracting the actual concentration from the expected concentration.

[0156] Embodiment 3: The nutrient solution trace element precision control system based on chromatographic data analysis described in this embodiment includes a component list establishment module, a health status analysis module, a chromatographic detection module, and a dynamic correction module;

[0157] Component list establishment module: obtains the trace element information contained in the nutrient solution and the information of each trace element delivery component, establishes a component list after initially marking different trace element delivery components, and sends the component list to the health status analysis module;

[0158] Health status analysis module: Before mixing the nutrient solution, multiple data of each trace element delivery component are monitored in real time. After predicting the health status of the delivery component based on multiple data, the delivery component is analyzed to see if it can be used. The analysis results are sent to the chromatographic detection module, and the health status is sent to the dynamic correction module.

[0159] Chromatographic detection module: If supported, the trace elements are transported to the mixing device through the transport component. After all the trace elements are transported to the mixing device, the nutrient solution in the mixing device is sampled by the chromatograph to obtain chromatographic data. The actual concentration of each trace element is calculated using the chromatographic data, and the influence coefficient of each trace element is calculated based on the expected concentration and the actual concentration. The influence coefficient is sent to the dynamic correction module;

[0160] Dynamic correction module: after combining the influence coefficient with the health status analysis result of the conveying component, dynamically correct the trace element supplementation concentration of the conveying component, and control the conveying component to supplement the trace elements to the nutrient solution according to the dynamically corrected trace element supplementation concentration.

[0161] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0162] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0163] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for accurately controlling trace elements in nutrient solution based on chromatographic data analysis, characterized in that: The control method comprises the following steps: The control system obtains the trace element information contained in the nutrient solution and the information of each trace element delivery component, and after initially marking different trace element delivery components, establishes a component list; Before mixing the nutrient solution, monitor multiple data of each trace element delivery component in real time, predict the health status of the delivery component based on multiple data, and analyze whether the delivery component can be used; If supported, the trace elements are transported to the mixing device through the transport component. After all the trace elements are transported to the mixing device, the nutrient solution in the mixing device is sampled by a chromatograph to obtain chromatographic data, the actual concentration of each trace element is calculated using the chromatographic data, and the influence coefficient of each trace element is calculated based on the expected concentration and the actual concentration; After combining the influence coefficient with the health status analysis result of the conveying component, the trace element supplementation concentration of the conveying component is dynamically corrected, and the control system controls the conveying component to supplement the trace elements to the nutrient solution according to the dynamically corrected trace element supplementation concentration.

2. The method for accurate control of trace elements in nutrient solution based on chromatographic data analysis according to claim 1, characterized in that: Before mixing the nutrient solution, multiple data of each trace element delivery component are monitored in real time, including the following steps: Real-time monitoring of multiple data of each trace element delivery component, including multi-component response speed deviation index, sensor offset and pipeline flow attenuation index.

3. The method for accurate control of trace elements in nutrient solution based on chromatographic data analysis according to claim 2, characterized in that: After predicting the health status of the conveyor component based on multiple data, analyzing whether the conveyor component is supportable for use includes the following steps: The obtained multi-component response speed deviation index, sensor offset and pipeline flow attenuation index are comprehensively calculated to obtain the abnormal coefficient of the conveying component; Compare the acquired abnormal coefficient with a preset first coefficient threshold and a second coefficient threshold, wherein the first coefficient threshold is used to analyze whether there is an abnormality in the conveying component, and the second coefficient threshold is used to analyze the severity of the abnormality in the conveying component; If the abnormal coefficient is less than or equal to the first coefficient threshold, it is analyzed that there is no abnormality in the conveying component; If the abnormal coefficient is greater than the first coefficient threshold, and if the abnormal coefficient is less than or equal to the second coefficient threshold, it is analyzed that there is a slight abnormality in the conveying component; If the abnormal coefficient is greater than the second coefficient threshold, it is analyzed that there is a serious abnormality in the conveying component; When it is analyzed that there is no abnormality or a slight abnormality in the conveying component, it is determined that the conveying component can be used; when it is analyzed that there is a serious abnormality in the conveying component, it is determined that the conveying component cannot be used.

4. The method for accurately controlling trace elements in nutrient solution based on chromatographic data analysis according to claim 3, characterized in that: The obtained multi-component response speed deviation index, sensor offset and pipeline flow attenuation index are comprehensively calculated to obtain the abnormal coefficient of the conveying component, and the expression is: , where is the abnormal coefficient, is the multi-component response speed deviation index, is the sensor offset, is the pipeline flow attenuation index, , , are the adjustment coefficients of the multi-component response speed deviation index, sensor offset, and pipeline flow attenuation index, respectively, and , , Both are greater than 0.

5. The method for accurate control of trace elements in nutrient solution based on chromatographic data analysis according to claim 4, characterized in that: The influence coefficient of each trace element is calculated based on the expected concentration and the actual concentration, including the following steps: After obtaining the actual concentration and expected concentration of trace elements, the influence coefficient of the conveying component is calculated, and the expression is: , where is the influence coefficient, is the actual concentration, is the expected concentration.

6. The method for accurate control of trace elements in nutrient solution based on chromatographic data analysis according to claim 5, characterized in that: After combining the influence coefficient with the health status analysis results of the conveying component, the trace element supplement concentration of the conveying component is dynamically corrected, including the following steps: Obtain the abnormal coefficient of the conveying component with slight abnormality. The larger the abnormal coefficient, the worse the health status of the conveying component, and the faster the concentration of trace elements conveyed by the conveying component decreases; After combining the influence coefficient with the health status analysis results of the conveying component, the trace element supplement concentration of the conveying component is dynamically corrected, and the expression is: , where The concentration of trace elements supplemented after dynamic correction, is the trace element supplement concentration before dynamic correction, is the abnormal coefficient, is the influence coefficient.

7. The method for accurate control of trace elements in nutrient solution based on chromatographic data analysis according to claim 2, characterized in that: The calculation logic of the multi-component response speed deviation index is as follows: obtaining the number of components that need to be electrically controlled in the conveying assembly, obtaining the actual response speed of each component, subtracting the actual response speed from the standard response speed of the component to obtain the response speed deviation, and summing the response speed deviations of multiple components to obtain the multi-component response speed deviation index; The calculation logic of the sensor offset is: obtain the actual flow value detected by the sensor, and obtain the standard flow value through the standard device detection, and subtract the actual flow value from the standard flow value to obtain the sensor offset; The calculation logic of the pipeline flow attenuation index is: the trace element flow at the feed end and the discharge end of the conveying pipeline is obtained through a pressure sensor, and the pipeline flow attenuation index is obtained by subtracting the trace element flow at the discharge end from the trace element flow at the feed end.

8. A precise control system for trace elements in nutrient solution based on chromatographic data analysis, used to implement the control method according to any one of claims 1 to 7, characterized in that: It includes component list building module, health status analysis module, chromatographic detection module and dynamic correction module; Component list building module: obtains the trace element information contained in the nutrient solution and the information of each trace element delivery component, initially marks different trace element delivery components, and then builds a component list; Health status analysis module: Before mixing the nutrient solution, multiple data of each trace element delivery component are monitored in real time. After predicting the health status of the delivery component based on multiple data, the delivery component is analyzed to see whether it can be used. The analysis results are sent to the chromatographic detection module. Chromatographic detection module: If supported, the trace elements are transported to the mixing device through the transport component. After all the trace elements are transported to the mixing device, the nutrient solution in the mixing device is sampled by the chromatograph to obtain chromatographic data, and the actual concentration of each trace element is calculated using the chromatographic data. The influence coefficient of each trace element is calculated based on the expected concentration and the actual concentration; Dynamic correction module: after combining the influence coefficient with the health status analysis result of the conveying component, dynamically correct the trace element supplementation concentration of the conveying component, and control the conveying component to supplement the trace elements to the nutrient solution according to the dynamically corrected trace element supplementation concentration.

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