A dissolution effect evaluation method and system for preparing nutrient solution for trees

Abstract

The present invention discloses a dissolution effect evaluation method and system for the preparation of tree nutrient solution, and relates to the technical field of forest planting. The dissolution effect evaluation method for the preparation of tree nutrient solution to be tested comprises the following steps: S1, data preprocessing; S2, stability evaluation; S3, environmental testing; S4, dissolution effect evaluation. The present invention obtains nutrient solution data of the tree nutrient solution to be tested, and then obtains a stability coefficient based on the nutrient solution data and its corresponding nutrient solution standard data, and finally obtains a dissolution evaluation value in combination with the environmental impact coefficient obtained through environmental testing, thereby achieving a more accurate effect of evaluating the dissolution effect of the tree nutrient solution, and solves the problem in the prior art that the dissolution effect evaluation is not sufficiently associated with the environment when preparing the tree nutrient solution.

Description

Technical Field

[0001] The present invention relates to the technical field of tree planting, and in particular to a dissolution effect evaluation method and system for preparing tree nutrient solution. Background Art

[0002] During their growth, trees require sufficient water and a variety of nutrients, such as nitrogen, phosphorus, and potassium. Modern planting industry prefers to adopt a precision fertilization method that integrates water and fertilizer, and fertilizes the roots by preparing nutrient solution to improve absorption rate and cost control. However, in actual application, the actual application environment is often different from the nutrient solution preparation environment, which directly affects the solubility and stability of the tree nutrient solution. In particular, when the solute and solvent interact adversely during the dissolution process, it may cause crystal precipitation or the formation of precipitates, thereby affecting the absorption efficiency of the tree for nutrients. Through effective dissolution effect evaluation methods and systems, the dissolution stability of the nutrient solution can be improved.

[0003] In the prior art, various performance indicators of the dissolved nutrient solution are detected in real time by using sensors, and the dissolution effect is evaluated based on the detection data to achieve real-time monitoring and precise control of the dissolution process.

[0004] For example, the invention patent with announcement number: CN102531749B discloses a nutrient solution for hydroponic rice seedlings and a preparation method thereof, comprising: firstly dissolving the compounds of each element in water respectively, then mixing them evenly, fixing the volume, and obtaining a nutrient solution mother solution; then, mixing 5 to 5.5 parts of the nutrient solution mother solution and 94.5 to 95 parts of water evenly by volume, and adjusting the pH value of the nutrient solution for hydroponic rice seedlings to 4.5 to 5.5.

[0005] For example, the variable fertilization method and device for hydroponic lettuce announced in the invention patent with announcement number: CN117223589A includes: step 101: conducting experiments based on nutrient solutions with different compound concentrations to determine the algorithm of the hydroponic lettuce nutrient solution prediction model and the nutrient solution detection index value, the nutrient solution detection index value includes pH and EC; step 102: establishing a hydroponic lettuce nutrient solution prediction model by dividing the data set into a training set and a test set: step 103: obtaining the nutrient solution detection index value required for the growth of hydroponic lettuce; step 104: based on the hydroponic lettuce nutrient solution prediction model, according to the nutrient solution detection index value required for the growth of hydroponic lettuce, determining the adjustment amount of each compound required for the growth of hydroponic lettuce; step 105: adjusting the supply of each compound according to the adjustment amount of each compound to provide the corresponding nutrient solution.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] Existing evaluation methods often focus on one aspect of the evaluation indicators, which makes it difficult to fully reflect the dissolution effect. In addition, the tree nutrient solution to be tested may face various environmental conditions during actual application. There is a problem of insufficient correlation between the dissolution effect evaluation and the environment during the preparation of the tree nutrient solution. Summary of the invention

[0008] The present application solves the problem of insufficient correlation between dissolution effect evaluation and the environment during the preparation of tree nutrient solution in the prior art by providing a dissolution effect evaluation method and system for the preparation of tree nutrient solution, thereby achieving more accurate dissolution effect evaluation of tree nutrient solution.

[0009] The present application provides a method for evaluating the dissolution effect of tree nutrient solution preparation, comprising the following steps: S1, collecting nutrient solution data of the tree nutrient solution to be tested through a data acquisition device, wherein the nutrient solution data includes concentration, pH value and volume; S2, evaluating the dissolution performance of the tree nutrient solution to be tested according to the nutrient solution data and its corresponding nutrient solution standard data in a preset environment to obtain a stability coefficient, and judging whether the stability coefficient is less than a preset stability threshold value; if the stability coefficient is not less than the preset stability threshold value, executing S3, otherwise prompting a preset personnel to adjust the formula of the tree nutrient solution to be tested, wherein the stability coefficient represents the stability of the dissolution effect of the tree nutrient solution to be tested; S3, evaluating the dissolution performance of the tree nutrient solution to be tested according to the nutrient solution data and its corresponding nutrient solution standard data in a preset environment to obtain a stability coefficient, and judging whether the stability coefficient is less than a preset stability threshold value; if the stability coefficient is not less than the preset stability threshold value, executing S3, otherwise prompting a preset personnel to adjust the formula of the tree nutrient solution to be tested, wherein the stability coefficient represents the stability of the dissolution effect of the tree nutrient solution to be tested; S4, evaluating the nutrient solution of the tree to be tested according to the environmental impact coefficient and the stability coefficient of the nutrient solution of the tree to be tested to obtain a dissolution evaluation value of the nutrient solution of the tree to be tested, and judging whether to prompt the preset personnel to adjust the formula of the nutrient solution of the tree to be tested according to the environmental impact coefficient and the stability coefficient of the nutrient solution of the tree to be tested and based on the dissolution evaluation value of the nutrient solution of the tree to be tested and the preset dissolution evaluation threshold, wherein the dissolution evaluation value is used to measure the dissolution effect of the nutrient solution of the tree to be tested.

[0010] Furthermore, before the dissolution performance of the nutrient solution of the tree to be detected is evaluated according to the nutrient solution data and its corresponding nutrient solution standard data in a preset environment to obtain the stability coefficient, the method also includes obtaining a concentration uniformity evaluation value of the nutrient solution of the tree to be detected; the specific steps for obtaining the concentration uniformity evaluation value of the nutrient solution of the tree to be detected are as follows: measuring the peak area of ​​the nutrient solution of the tree to be detected at a preset position point within a preset position range by a chromatograph at a preset time point within a preset time period; performing a ratio operation on the peak area of ​​the nutrient solution of the tree to be detected and the calibration coefficient to obtain the concentration of the nutrient solution of the tree to be detected, and obtaining the concentration of the nutrient solution of the tree to be detected based on this. The method comprises the following steps: calculating the average value and standard deviation of the concentration of the nutrient solution of the tree to be tested; performing a square operation on the difference between the concentration of the nutrient solution of the tree to be tested at each position point and the mean value of the concentration to obtain the square difference of the concentration of all the position points of the nutrient solution of the tree to be tested; performing a square root operation on the average value of the square difference of the concentration of all the position points of the nutrient solution of the tree to be tested to obtain the standard deviation of the concentration of all the position points of the nutrient solution of the tree to be tested; performing an exponential operation on the ratio of the standard deviation of the concentration of all the position points of the nutrient solution of the tree to be tested to the average value of the concentration of the nutrient solution of the tree to be tested to obtain the concentration uniformity evaluation value of the nutrient solution of the tree to be tested, and the concentration uniformity evaluation value is used to quantify the concentration uniformity of the nutrient solution of the tree to be tested.

[0011] Furthermore, the calibration coefficient is specifically obtained as follows: the peak area corresponding to the standard solution at a preset concentration point within a preset concentration range is measured by a chromatograph; the difference in the peak area of ​​the preset concentration solution is compared with the difference in the corresponding concentration and then the calibration coefficient is obtained by averaging; the calibration coefficient represents the degree of change in peak area caused by a unit concentration change.

[0012] Furthermore, the specific steps of evaluating the solubility performance of the nutrient solution of the tree to be tested in a preset environment according to the nutrient solution data and its corresponding nutrient solution standard data to obtain the stability coefficient are as follows: measure the nutrient solution data of the tree to be tested in a preset environment by a data acquisition device at a preset time point within a preset time period; obtain the corresponding nutrient solution standard data according to the nutrient solution data of the tree to be tested, and the nutrient solution standard data include the pH value standard deviation and the turbidity standard deviation; arrange the pH value and turbidity in the nutrient solution data in order to obtain the pH extreme value and turbidity extreme value of the tree to be tested nutrient solution, the pH extreme value includes the maximum pH value and the minimum pH value, and the turbidity extreme value includes the maximum turbidity and the minimum turbidity; perform exponential operation on the difference between the pH extreme values ​​and the difference between the turbidity extreme values, and combine them with the average value of the concentration uniformity evaluation value to obtain the stability coefficient of the tree nutrient solution to be tested, the difference between the pH extreme values ​​represents the difference between the maximum pH value and the minimum pH value, and the difference between the turbidity extreme values ​​represents the difference between the maximum turbidity and the minimum turbidity.

[0013] Furthermore, the environmental detection includes temperature detection, humidity detection and pressure detection, and the specific process of the temperature detection is as follows: measuring the first nutrient solution data of the nutrient solution of the tree to be detected in the first simulated environment through a data acquisition device at a preset time point within a preset time period, and integrating the first nutrient solution data with the corresponding timestamp to obtain a first nutrient solution sequence; the first nutrient solution data includes a first pH value, a first peak area and a first turbidity; the first nutrient solution sequence represents a collection of the first nutrient solution data of the nutrient solution of the tree to be detected under temperature detection; the first simulated environment is used to simulate the temperature detection of the dissolution stability of the nutrient solution of the tree to be detected within different temperature ranges under a preset humidity and a preset pressure.

[0014] Furthermore, the specific process of the humidity detection is as follows: at a preset time point within a preset time period, second nutrient solution data of the nutrient solution of the tree to be detected in the second simulated environment is measured by a data acquisition device, and the second nutrient solution data is integrated with the corresponding timestamp to obtain a second nutrient solution sequence; the second nutrient solution data includes a second pH value, a second peak area and a second turbidity; the second nutrient solution sequence represents a collection of second nutrient solution data of the nutrient solution of the tree to be detected under humidity detection; the second simulated environment is used to simulate the humidity detection of the dissolution stability of the nutrient solution of the tree to be detected within different humidity ranges at a preset temperature and a preset pressure.

[0015] Furthermore, the specific process of the pressure detection is as follows: at a preset time point within a preset time period, the third nutrient solution data of the nutrient solution of the tree to be detected in the third simulation environment is measured by a data acquisition device, and the third nutrient solution data is integrated with the corresponding timestamp to obtain a third nutrient solution sequence; the third nutrient solution data includes a third pH value, a third peak area and a third turbidity; the third nutrient solution sequence represents a collection of the third nutrient solution data of the nutrient solution of the tree to be detected under pressure detection; the third simulation environment is used to simulate the pressure detection of the dissolution stability of the nutrient solution of the tree to be detected within different pressure ranges at a preset temperature and a preset humidity.

[0016] Furthermore, the environmental impact coefficient includes a temperature impact coefficient, a humidity impact coefficient and a pressure impact coefficient; the specific steps for obtaining the temperature impact coefficient are: the pH value and turbidity in the first nutrient solution sequence of the tree nutrient solution to be tested are respectively arranged in order to obtain the corresponding first pH extreme value and the first turbidity extreme value; the difference between the first pH extreme value and the first turbidity extreme value is subjected to exponential operation, and the temperature impact coefficient is obtained after the hyperbolic tangent function operation is performed after the average value of the inverse of the concentration uniformity evaluation value is added; the corresponding first nutrient solution standard data is obtained according to the first nutrient solution sequence of the tree nutrient solution to be tested, and the first nutrient solution standard data includes a first pH value standard deviation and a first turbidity standard deviation; the first pH extreme value is subjected to exponential operation, and the difference between the first pH extreme value and the first turbidity extreme value is subjected to exponential operation, and the temperature impact coefficient is obtained after the hyperbolic tangent function operation is performed. The value includes a first maximum pH value and a first minimum pH value, and the difference of the first pH extreme value represents the difference between the first maximum pH value and the first minimum pH value; the first turbidity extreme value includes a first maximum turbidity and a first minimum turbidity, and the difference of the first turbidity extreme value represents the difference between the first maximum turbidity and the first minimum turbidity; the specific steps for obtaining the humidity influence coefficient are: the pH value and turbidity in the second nutrient solution sequence of the tree nutrient solution to be tested are arranged in order to obtain the corresponding second pH extreme value and second turbidity extreme value; the difference of the second pH extreme value and the difference of the second turbidity extreme value are exponentially calculated, and the hyperbolic tangent function is calculated after adding the average value of the inverse of the concentration uniformity evaluation value to obtain the humidity influence coefficient; according to The second nutrient solution sequence of the tree nutrient solution to be detected obtains the corresponding second nutrient solution standard data, and the second nutrient solution standard data includes a second pH value standard deviation and a second turbidity standard deviation; the second pH extreme value includes a second maximum pH value and a second minimum pH value, and the difference of the second pH extreme value represents the difference between the second maximum pH value and the second minimum pH value; the second turbidity extreme value includes a second maximum turbidity and a second minimum turbidity, and the difference of the second turbidity extreme value represents the difference between the second maximum turbidity and the second minimum turbidity; the specific step of obtaining the pressure influence coefficient is: the pH value and turbidity in the third nutrient solution sequence of the tree nutrient solution to be detected are respectively arranged in order to obtain the corresponding third pH extreme value and third turbidity extreme value ; Perform an exponential operation on the difference between the third pH extreme values ​​and the third turbidity extreme values, and add the average value of the inverse of the concentration uniformity evaluation value and then perform a hyperbolic tangent function operation to obtain the pressure influence coefficient; obtain the corresponding third nutrient solution standard data according to the third nutrient solution sequence of the tree nutrient solution to be tested, and the third nutrient solution standard data includes a third pH value standard deviation and a third turbidity standard deviation; the third pH extreme values ​​include a third maximum pH value and a third minimum pH value, and the difference between the third pH extreme values ​​represents the difference between the third maximum pH value and the third minimum pH value; the third turbidity extreme values ​​include a third maximum turbidity and a third minimum turbidity, and the difference between the third turbidity extreme values ​​represents the difference between the third maximum turbidity and the third minimum turbidity.

[0017] Furthermore, the specific steps of judging whether to prompt a preset personnel to adjust the formula of the nutrient solution of the tree to be tested according to the environmental impact coefficient based on the dissolution evaluation value of the nutrient solution of the tree to be tested and the preset dissolution evaluation threshold value are as follows: A1, performing a hyperbolic cosine function operation on the ratio of the stability coefficient of the nutrient solution of the tree to be tested and the environmental impact coefficient to obtain a hyperbolic cosine term, and performing a natural logarithm function operation on the average value of the hyperbolic cosine term to obtain a dissolution evaluation value of the nutrient solution of the tree to be tested; A2, judging whether the dissolution evaluation value of the nutrient solution of the tree to be tested is less than the preset dissolution evaluation threshold value; if the dissolution evaluation value of the nutrient solution of the tree to be tested is not less than the preset dissolution evaluation threshold value, no adjustment is made; otherwise, executing A3; A3, judging the temperature influence coefficient of the nutrient solution of the tree to be tested The number is smaller than the preset temperature influence threshold. If the temperature influence coefficient of the nutrient solution of the tree to be tested is smaller than the preset temperature influence threshold, execute A4; otherwise, prompt the preset personnel to select the solvent type; A4, judge whether the humidity influence coefficient of the nutrient solution of the tree to be tested is smaller than the preset humidity influence threshold. If the humidity influence coefficient of the nutrient solution of the tree to be tested is smaller than the preset humidity influence threshold, execute A5; otherwise, prompt the preset personnel to use a stabilizer, which is used to prevent the components in the nutrient solution from being affected by humidity; A5, judge whether the pressure influence coefficient of the nutrient solution of the tree to be tested is smaller than the preset pressure influence threshold. If the pressure influence coefficient of the nutrient solution of the tree to be tested is smaller than the preset pressure influence threshold, no adjustment is made; otherwise, prompt the preset personnel to use a mixed solvent.

[0018] The present application also provides a dissolution effect evaluation system for the preparation of nutrient solution for trees to be tested, comprising: a data preprocessing module, a stability evaluation module, an environmental detection module and a dissolution effect evaluation module; wherein the data preprocessing module is used to collect nutrient solution data of the nutrient solution for trees to be tested through a data acquisition device, wherein the nutrient solution data comprises concentration, pH value and volume; the stability evaluation module is used to evaluate the dissolution performance of the nutrient solution for trees to be tested in a preset environment according to the nutrient solution data and its corresponding nutrient solution standard data to obtain a stability coefficient, and to determine whether the stability coefficient is less than a preset stability threshold value; if the stability coefficient is not less than the preset stability threshold value, the environmental detection module is run, otherwise the preset personnel are prompted to adjust the formula of the nutrient solution for trees to be tested, and the stability coefficient represents the stability of the nutrient solution for trees to be tested. Stability of dissolution effect; the environmental detection module is used to perform environmental detection on the nutrient solution of the tree to be detected to obtain a nutrient solution sequence, and perform environmental impact assessment on the nutrient solution of the tree to be detected according to the nutrient solution sequence and the corresponding nutrient solution standard data to obtain an environmental impact coefficient, and the environmental impact coefficient is used to measure the dissolution effect of the nutrient solution of the tree to be detected in different environmental factors; the dissolution effect evaluation module is used to evaluate the nutrient solution of the tree to be detected according to the environmental impact coefficient and stability coefficient of the nutrient solution of the tree to be detected to obtain a dissolution evaluation value of the nutrient solution of the tree to be detected, and based on the dissolution evaluation value of the nutrient solution of the tree to be detected and the preset dissolution evaluation threshold, it is determined whether to prompt the preset personnel to adjust the formula of the nutrient solution of the tree to be detected according to the environmental impact coefficient, and the dissolution evaluation value is used to measure the dissolution effect of the nutrient solution of the tree to be detected.

[0019] One or more technical solutions provided by this application have at least the following technical effects or advantages:

[0020] By obtaining the nutrient solution data of the tree nutrient solution to be tested, the stability coefficient is obtained based on the nutrient solution data and the corresponding nutrient solution standard data, and then the nutrient solution sequence is obtained through environmental testing, and the environmental impact coefficient is obtained in combination with the corresponding nutrient solution standard data. Finally, the environmental impact coefficient and the stability coefficient are combined to obtain the dissolution evaluation value, thereby obtaining the stability of the tree nutrient solution to be tested under different environments, thereby achieving a more accurate evaluation of the dissolution effect of the tree nutrient solution, and effectively solving the problem of insufficient correlation between the dissolution effect evaluation and the environment when preparing the tree nutrient solution in the prior art.

[0021] The peak area of ​​the nutrient solution of the tree to be tested at a preset position point within a preset position range is measured by a chromatograph, and then the concentration of the nutrient solution of the tree to be tested is obtained in combination with the calibration coefficient, and the concentration average and standard deviation are obtained based on this. Finally, the concentration uniformity evaluation value is obtained based on the concentration average and standard deviation, thereby obtaining the concentration distribution of the nutrient solution of the tree to be tested at different times and positions, thereby achieving an effective evaluation of the uniformity of the nutrient solution concentration of the tree to be tested.

[0022] The nutrient solution data of the nutrient solution of the tree to be tested in a preset environment is measured by a data acquisition device at a preset time point within a preset time period, and then the corresponding nutrient solution standard data is obtained based on the nutrient solution data. Finally, the pH value and turbidity in the nutrient solution data are arranged in order to obtain the pH extreme value and the turbidity extreme value, and combined with the corresponding nutrient solution standard data to obtain the stability coefficient, thereby realizing comprehensive quantification of nutrient solution data in different aspects, and then realizing effective evaluation of the dissolution stability of the nutrient solution of the tree to be tested. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A flow chart of a method for evaluating the dissolution effect of preparing a nutrient solution for trees provided in an embodiment of the present application;

[0024] Figure 2 A schematic diagram of the change of the stability coefficient provided in the embodiment of the present application;

[0025] Figure 3 A schematic diagram of the structure of a dissolution effect evaluation system for preparing tree nutrient solution provided in an embodiment of the present application;

[0026] Figure 4 A statistical table of changes in concentration uniformity evaluation values ​​provided in the embodiments of the present application. DETAILED DESCRIPTION

[0027] The embodiments of the present application solve the problem of insufficient correlation between dissolution effect evaluation and environment in the preparation of tree nutrient solution in the prior art by providing a dissolution effect evaluation method and system for tree nutrient solution preparation. By acquiring nutrient solution data of the tree nutrient solution to be tested, a stability coefficient is obtained in a preset environment based on the nutrient solution data and its corresponding nutrient solution standard data, and then a nutrient solution sequence is obtained through environmental testing. Finally, the nutrient solution sequence and its corresponding nutrient solution standard data are combined to obtain an environmental impact coefficient. The environmental impact coefficient and the stability coefficient are combined to obtain a dissolution evaluation value, thereby achieving a more accurate evaluation of the dissolution effect of the tree nutrient solution.

[0028] The technical solution in the embodiment of the present application is to solve the problem that the dissolution effect evaluation is not sufficiently associated with the environment during the preparation of the above-mentioned tree nutrient solution. The overall idea is as follows:

[0029] The stability coefficient is obtained by combining the nutrient solution data with its corresponding nutrient solution standard data, and the dissolution assessment value is obtained by combining the environmental impact coefficient obtained through environmental testing, thereby achieving a more accurate evaluation of the dissolution effect of the tree nutrient solution.

[0030] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0031] like Figure 1 As shown, it is a flow chart of a method for evaluating the dissolution effect of tree nutrient solution preparation provided by an embodiment of the present application, the method comprising the following steps: S1, collecting nutrient solution data of the tree nutrient solution to be tested through a data acquisition device, the nutrient solution data including concentration, pH value and volume; S2, evaluating the dissolution performance of the tree nutrient solution to be tested according to the nutrient solution data and its corresponding nutrient solution standard data in a preset environment to obtain a stability coefficient, and judging whether the stability coefficient is less than a preset stability threshold value, if the stability coefficient is not less than the preset stability threshold value, executing S3, otherwise prompting the preset personnel to adjust the formula of the tree nutrient solution to be tested, the stability coefficient indicating the stability of the dissolution effect of the tree nutrient solution to be tested; S3, Perform environmental testing on the nutrient solution of the tree to be tested to obtain a nutrient solution sequence, perform environmental impact assessment on the nutrient solution of the tree to be tested according to the nutrient solution sequence and its corresponding nutrient solution standard data to obtain an environmental impact coefficient, and the environmental impact coefficient is used to measure the dissolution effect of the nutrient solution of the tree to be tested in different environmental factors; S4, evaluate the nutrient solution of the tree to be tested according to the environmental impact coefficient and the stability coefficient of the nutrient solution of the tree to be tested to obtain a dissolution evaluation value of the nutrient solution of the tree to be tested, and judge whether to prompt the preset personnel to adjust the formula of the nutrient solution of the tree to be tested according to the environmental impact coefficient based on the dissolution evaluation value of the nutrient solution of the tree to be tested and a preset dissolution evaluation threshold value, and the dissolution evaluation value is used to measure the dissolution effect of the nutrient solution of the tree to be tested.

[0032] In this embodiment, concentration represents the content of solute in the nutrient solution, usually expressed in mg / L; pH value represents the acidity or alkalinity of the nutrient solution, which represents the concentration of hydrogen ions in the solution; volume represents the total volume of the nutrient solution, usually in liters (L); in a preset environment, the collected nutrient solution data is compared with the standard data to evaluate its dissolution stability performance; the purpose of this step is to determine the stability of the dissolution effect of the nutrient solution under preset conditions; the preset stability threshold is obtained from the preset database and is expressed by the average value of the historical stability coefficient; the adjustment of the tree nutrient solution formula includes adjusting the solvent, adding co-solvent and adjusting pH value; Environmental testing measures and records the nutrient solution data of the tree nutrient solution to be tested under different environmental conditions to evaluate the impact of environmental factors on the dissolution stability effect; Environmental factors include temperature, humidity and pressure, because temperature, humidity and pressure directly affect the interaction between solute and solvent during the dissolution process, and other environmental factors have no significant physical and chemical effects on the solubility of the nutrient solution, or the effects are very small and cannot affect the dissolution equilibrium or the final dissolution effect. For example, light mainly affects certain photosensitive chemical reactions, and solutes require photolysis reactions to dissolve, but the chemical components in most tree nutrient solutions are not photosensitive substances, and trees The dissolution of wood nutrient solution is generally a physical process rather than a chemical photoreaction, so light has no direct effect on its solubility. For most solid substances, rising temperature increases solubility, and when the temperature decreases, the solubility usually decreases. High temperature accelerates the evaporation of water, causing the water in the nutrient solution to be lost rapidly, thereby increasing the concentration of the nutrient solution. An increase in pressure increases the solubility of gas in the nutrient solution. In the pressure range of 0.102MPa-5MPa, the evaporation rate of water in the air slows down, and the water in the nutrient solution can be better retained, avoiding excessive concentration caused by rapid evaporation. In the pressure range of 0MPa-0.100MPa, the evaporation rate of water in the air slows down, and the water in the nutrient solution can be better retained, avoiding excessive concentration caused by rapid evaporation. Within the pressure range, the evaporation rate of water is accelerated, resulting in rapid loss of water in the nutrient solution and increased concentration; the nutrient solution sequence represents the data sequence of the nutrient solution of the tree to be tested under different environmental conditions recorded during the environmental testing process; the first nutrient solution sequence represents the data sequence of the nutrient solution at different temperatures; the second nutrient solution sequence represents the data sequence of the nutrient solution at different humidity; the third nutrient solution sequence represents the data sequence of the nutrient solution at different pressures; through the above steps, the effective quantification of the influence of different environmental factors on the dissolution stability of the tree nutrient solution is achieved, thereby achieving a more accurate evaluation of the dissolution effect of the tree nutrient solution.

[0033] Furthermore, in a preset environment, the solubility performance of the nutrient solution of the tree to be tested is evaluated according to the nutrient solution data and its corresponding nutrient solution standard data to obtain a stability coefficient, which also includes obtaining a concentration uniformity evaluation value of the nutrient solution of the tree to be tested; the specific steps for obtaining the concentration uniformity evaluation value of the nutrient solution of the tree to be tested are as follows: at a preset time point within a preset time period, the peak area of ​​the nutrient solution of the tree to be tested at a preset position point within a preset position range is measured by a chromatograph; the peak area of ​​the nutrient solution of the tree to be tested is ratioed with the calibration coefficient to obtain the concentration of the nutrient solution of the tree to be tested, and the average concentration of the nutrient solution of the tree to be tested is obtained accordingly. and standard deviation; square the difference between the concentration of the nutrient solution of the tree to be tested at each position point and the mean concentration to obtain the square difference of the concentration of all position points of the nutrient solution of the tree to be tested; perform square root operation on the average of the square differences of the concentration of all position points of the nutrient solution of the tree to be tested to obtain the standard deviation of the concentration of all position points of the nutrient solution of the tree to be tested; perform exponential operation on the ratio of the standard deviation of the concentration of all position points of the nutrient solution of the tree to be tested to the mean concentration of the nutrient solution of the tree to be tested to obtain the concentration uniformity evaluation value of the nutrient solution of the tree to be tested, and the concentration uniformity evaluation value is used to quantify the concentration uniformity of the nutrient solution of the tree to be tested.

[0034] In this embodiment, the preset environment represents the tree nutrient solution preparation environment; the preset environment is used to simulate the concentration uniformity of the tree nutrient solution to be tested under the preset temperature, preset humidity and preset pressure; the preset temperature, preset humidity and preset pressure are obtained from the preset database, and the preset humidity is generally 30%-70% of the indoor environment humidity; the preset pressure is generally 0.1MPa of the normal pressure environment pressure; the preset temperature is generally 20℃-25℃ of the indoor environment temperature; the preset time period and the preset time point are obtained from the preset database, and the preset time period is generally represented by 9 o'clock to 18 o'clock, and the preset time point is generally represented by measuring once every 1 hour; the preset position range The preset position points are obtained from a preset database. The preset position range is generally set according to the container volume and the nutrient solution volume. The preset position points are generally represented by measuring once every one-tenth of the height within the preset position range; the concentration uniformity evaluation value is used to measure the uniformity of the concentration distribution of the nutrient solution of the tree to be tested within the preset position range within a preset time period; the higher the concentration uniformity evaluation value, the more uniform the concentration; the peak area represents the response value in the chromatographic analysis, usually expressed as the area of ​​the peak shape; the above steps realize an effective evaluation of the concentration uniformity of the nutrient solution of the tree to be tested, thereby avoiding the differences caused by the low accuracy of the concentration uniformity evaluation value.

[0035] Specifically, the concentration uniformity evaluation value is calculated by the following formula:

[0036] ;

[0037] In the formula, t represents the number of the preset time point, , T represents the total number of preset time points, n represents the number of preset position points, , N represents the total number of preset position points, represents the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t-th preset time point, represents the concentration of the nutrient solution of the tree to be tested at the nth preset position at the tth preset time point, represents the peak area of ​​the nutrient solution of the tree to be tested at the nth preset position at the tth preset time point, Indicates the calibration factor.

[0038] Assuming the total number of preset position points is 3 and the calibration coefficient is 1.84, define ,in, is the average concentration, and is defined as ,in, Taking the concentration standard deviation as an example, the statistical table of changes in concentration uniformity evaluation values ​​is as follows: Figure 4 As shown:

[0039] It can be seen from the table that when the average concentration value remains unchanged, the larger the concentration standard deviation, the smaller the concentration uniformity evaluation value; when the concentration standard deviation remains unchanged, the larger the concentration average value, the larger the concentration uniformity evaluation value; therefore, the concentration uniformity evaluation value is inversely proportional to the concentration standard deviation and directly proportional to the concentration average value.

[0040] Specifically, the concentration uniformity evaluation algorithm combines the "average concentration of the nutrient solution of the tree to be tested at the tth preset time point" " and "Standard deviation of the concentration of the nutrient solution of the tree to be tested at the tth preset time point ", comprehensive analysis to obtain "the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t-th preset time point ", and each parameter is related to each other, not independent, it is a whole, for example, in this formula, "the average concentration of the nutrient solution of the tree to be tested at the tth preset time point " may result in the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t-th preset time point "Decrease, through quantitative way, the correlation and mutual influence between variables are taken into account. Generally speaking, a larger standard deviation means that the data point is far away from the mean value, and a smaller standard deviation means that the data point is close to the mean value; when the concentration standard deviation of the nutrient solution of the tree to be tested remains unchanged, the average concentration value of the nutrient solution of the tree to be tested increases, then the concentration uniformity evaluation value of the nutrient solution of the tree to be tested increases, indicating that the concentration uniformity of the nutrient solution of the tree to be tested is high; when the average concentration value of the nutrient solution of the tree to be tested remains unchanged, the concentration standard deviation of the nutrient solution of the tree to be tested increases, then the concentration uniformity evaluation value of the nutrient solution of the tree to be tested decreases, indicating that the concentration uniformity of the nutrient solution of the tree to be tested is low. The algorithm obtained by comprehensive analysis can accurately and quantitatively analyze the concentration uniformity of the nutrient solution of the tree to be tested, which shows the effect of accurately evaluating the concentration uniformity evaluation value of the nutrient solution of the tree to be tested. Therefore, accurate analysis is carried out by establishing mathematical form.

[0041] Furthermore, the specific method of obtaining the calibration coefficient is as follows: measure the peak area corresponding to the standard solution at a preset concentration point within a preset concentration range through a chromatograph; perform a ratio operation on the difference in the peak area of ​​the preset concentration solution and the difference in the corresponding concentration, and then average them to obtain the calibration coefficient; the calibration coefficient represents the degree of change in peak area caused by a unit concentration change.

[0042] In this embodiment, the preset concentration range and preset concentration points are obtained from a preset database. The preset concentration range is generally represented by 0 mg / L to 5 mg / L, and the preset concentration points are generally represented by 0.1 mg / L, 0.5 mg / L, 1 mg / L, 2 mg / L and 5 mg / L; each preset concentration point has a corresponding number; through the calibration coefficient, the concentration of the corresponding nutrient solution of the tree to be tested can be calculated according to the peak area, thereby realizing the accurate acquisition of the concentration of the nutrient solution of the tree to be tested.

[0043] Specifically, the calibration coefficient is calculated by the following formula:

[0044] ;

[0045] In the formula, m represents the number of the preset concentration point, , M represents the total number of preset concentration points, represents the calibration coefficient, Indicates the concentration of the standard solution at the m-1th preset concentration point, Indicates the concentration of the standard solution at the mth preset concentration point, Represents the peak area of ​​the m-1th preset concentration point, Indicates the peak area corresponding to the mth preset concentration point.

[0046] Furthermore, the specific steps for evaluating the solubility performance of the nutrient solution of the tree to be tested in a preset environment according to the nutrient solution data and its corresponding nutrient solution standard data to obtain the stability coefficient are as follows: measure the nutrient solution data of the tree to be tested in a preset environment at a preset time point within a preset time period through a data acquisition device, the data acquisition device including a chromatograph, a turbidity meter and a pH meter; obtain the corresponding nutrient solution standard data according to the nutrient solution data of the tree to be tested, the nutrient solution standard data including the pH value standard deviation and the turbidity standard deviation; arrange the pH value and turbidity in the nutrient solution data in order to obtain the pH extreme value and turbidity extreme value of the tree to be tested nutrient solution, the pH extreme value including the maximum pH value and the minimum pH value, and the turbidity extreme value including the maximum turbidity and the minimum turbidity; perform exponential operation on the difference between the pH extreme value and the difference between the turbidity extreme value, and perform hyperbolic tangent function operation after adding the average value of the concentration uniformity evaluation value to obtain the stability coefficient of the tree nutrient solution to be tested, the difference between the pH extreme value represents the difference between the maximum pH value and the minimum pH value, and the difference between the turbidity extreme value represents the difference between the maximum turbidity and the minimum turbidity.

[0047] In this embodiment, the turbidity meter is an instrument for measuring the concentration of suspended particles in a liquid, and the turbidity reflects the clarity or turbidity of the liquid; the pH meter is an instrument for measuring the acidity and alkalinity of a liquid, and the pH value is an important parameter reflecting the acidity and alkalinity of the nutrient solution; the pH value standard deviation represents the deviation range of the pH value, indicating the volatility of the pH value; the turbidity standard deviation represents the deviation range of the turbidity, indicating the volatility of the turbidity; the ordered arrangement means arranging the measured pH value and turbidity in order of size, thereby obtaining the pH extreme value and the turbidity extreme value; the stability coefficient is used to measure the dissolution stability of the nutrient solution of the tree to be tested; through the above steps, an effective evaluation of the stability performance of the nutrient solution of the tree to be tested in a preset environment is achieved, thereby avoiding the differences caused by the low accuracy of the stability coefficient evaluation.

[0048] Specifically, the stability coefficient is calculated by the following formula:

[0049] ;

[0050] In the formula, WD represents the stability coefficient of the nutrient solution of the tree to be tested, Indicates the maximum pH value of the nutrient solution of the tree to be tested, Indicates the minimum pH value of the nutrient solution of the tree to be tested. represents the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t-th preset time point, Indicates the maximum turbidity of the nutrient solution of the tree to be tested, Indicates the minimum turbidity of the nutrient solution of the tree to be tested. represents the standard deviation of pH value, Indicates the standard deviation of turbidity.

[0051] The standard deviation of pH is 0.5, the standard deviation of turbidity is 1 (NTU), and the total number of preset time points is 10. ,in, The pH value of the nutrient solution of the tree to be tested is extremely poor, defined as ,in, is the turbidity extreme of the tree nutrient solution to be tested, defined as ,in, is the average value of the concentration uniformity evaluation of the nutrient solution of the tree to be tested, and the pH value is the range. The range is 0-5, the turbidity is very poor The range is 0NTU-5NTU, and the average value of the concentration uniformity evaluation value Taking 0.5 as an example, Figure 2 As shown, it is a schematic diagram of the change of the stability coefficient provided in the embodiment of the present application. It can be seen from the figure that when the turbidity range remains unchanged, the larger the pH value range is, the smaller the stability coefficient is, so the stability coefficient is inversely proportional to the pH value range; when the pH value range is unchanged, the larger the turbidity range is, the smaller the stability coefficient is, so the stability coefficient is inversely proportional to the turbidity range.

[0052] Specifically, the stability coefficient algorithm is combined with the "extreme range of pH value of the nutrient solution of the tree to be tested" ", "The average value of the concentration uniformity evaluation value of the nutrient solution of the tree to be tested ” and “the range of turbidity of the nutrient solution of the tree to be tested ", comprehensive analysis to obtain the "stability coefficient WD of the nutrient solution of the tree to be tested", and the various parameters are related, not independent, it is a whole, it is not through a simple combination and addition can get the "stability coefficient WD of the nutrient solution of the tree to be tested", for example, in this formula "the range of pH value of the nutrient solution of the tree to be tested " may lead to a decrease in the "stability coefficient WD of the nutrient solution of the tree to be tested", which does not necessarily mean that the "stability coefficient WD of the nutrient solution of the tree to be tested" is large. At this time, it is also necessary to consider the "average value of the concentration uniformity evaluation value of the nutrient solution of the tree to be tested ” and “the range of turbidity of the nutrient solution of the tree to be tested " can also determine the stability coefficient WD of the nutrient solution of the tree to be tested at the next moment, and take into account the "extreme difference in pH value of the nutrient solution of the tree to be tested" in a quantitative way. ", "The average value of the concentration uniformity evaluation value of the nutrient solution of the tree to be tested ", "Detect the extreme difference of turbidity of the nutrient solution of the tree to be tested " and "stability coefficient WD of the nutrient solution of the tree to be tested". Generally speaking, when the range of pH value of the nutrient solution of the tree to be tested increases, the stability coefficient decreases, indicating that the stability performance of the nutrient solution of the tree to be tested is worse; when the average value of the concentration uniformity evaluation value of the nutrient solution of the tree to be tested is larger, the stability coefficient increases, indicating that the stability performance of the nutrient solution of the tree to be tested is better; when the range of turbidity of the nutrient solution of the tree to be tested increases, the stability coefficient decreases, indicating that the stability performance of the nutrient solution of the tree to be tested is worse. The algorithm obtained by comprehensive analysis can accurately and quantitatively analyze the stability performance of the nutrient solution of the tree to be tested, which shows the effect of accurately evaluating the stability coefficient of the nutrient solution of the tree to be tested. Therefore, accurate analysis is carried out by establishing mathematical form.

[0053] Furthermore, environmental detection includes temperature detection, humidity detection and pressure detection. The specific process of temperature detection is as follows: first nutrient solution data of the nutrient solution of the tree to be detected in the first simulated environment is measured by a data acquisition device at a preset time point within a preset time period, and the first nutrient solution data is integrated with the corresponding timestamp to obtain a first nutrient solution sequence; the first nutrient solution data includes a first pH value, a first peak area and a first turbidity; the first nutrient solution sequence represents a collection of first nutrient solution data of the nutrient solution of the tree to be detected under temperature detection; the first simulated environment is used to simulate the temperature detection of the dissolution stability of the nutrient solution of the tree to be detected within different temperature ranges under a preset humidity and a preset pressure.

[0054] In this embodiment, environmental testing is used to detect the dissolution stability of the nutrient solution of the tree to be tested under different environments; temperature determines the movement rate of molecules and ions in the solution. As the temperature rises, the molecular movement intensifies, causing the solute to dissolve faster, and the solubility will usually increase. For example, the solubility of potassium ions usually increases when the temperature rises. However, within the temperature range of 50°C-100°C, the solubility of certain elements may decrease, such as phosphorus, calcium, magnesium, etc., increasing the hydrogen ion concentration, resulting in a decrease in pH value, and a decrease in the water content of the solution, thereby increasing the relative concentration of the solution, and the pH The pH value may increase, the concentration decreases, and the turbidity increases. In the temperature range of -80℃-10℃, the solubility of most elements in the nutrient solution will decrease, such as phosphates and calcium, which are easy to form insoluble precipitates. The pH value may increase, the concentration decreases, and the turbidity increases. When the temperature rises, the evaporation of water in the air is accelerated, and the humidity may decrease, resulting in water loss in the solution and concentration changes. In addition, the temperature increase will also cause the vapor pressure to increase, accelerating the volatilization of the liquid. According to the ideal gas law, when the temperature rises, the volume of the gas increases, resulting in changes in the air pressure, and the pressure change will also affect the solubility of the gas. When the humidity is high, the partial pressure of water vapor in the air increases, and the total air pressure may also increase. Pressure changes will affect the dissolved state of the gas in the liquid. Temperature, humidity and pressure are the three key environmental factors that affect the solubility and stability of tree nutrient solutions. Temperature, humidity and pressure are interrelated and jointly affect the chemical equilibrium and physical state of the solution. By simultaneously monitoring the three environmental factors of temperature, humidity and pressure, we can better understand the performance of tree nutrient solutions under various environmental conditions and ensure that plants obtain the best nutrient absorption conditions.

[0055] Temperature detection is used to detect the dissolution stability of the nutrient solution of the tree to be tested under different temperature conditions; the first nutrient solution data represents the nutrient solution data obtained in the temperature detection; the first pH value represents the pH value obtained in the temperature detection; the first peak area represents the peak area obtained in the temperature detection; the first turbidity represents the turbidity obtained in the temperature detection; the turbidity changes with the change of pH value. For example, changes in acid-base conditions may cause certain substances to form precipitation, increase turbidity, and when the concentration is close to saturation, the turbidity may also increase, indicating that the dissolution stability is reduced; pH value, concentration, turbidity and the dissolution stability of the nutrient solution of the tree to be tested are interrelated and closely affect the chemical balance and physical state of the solution. The pH value determines The solubility state and concentration of the solute determine the amount of solute in the solution, and turbidity is the external manifestation of solubility stability. The solubility performance and long-term stability of the nutrient solution of the tree to be tested can be effectively quantified according to the pH value, concentration and turbidity of the nutrient solution of the tree to be tested; the timestamp represents the time record associated with each second nutrient solution data point, which is used to indicate when the data was collected; the preset humidity, preset pressure and temperature range are obtained from the preset database; the preset humidity is generally represented by 55% indoor ambient humidity; the preset pressure is generally represented by 0.1MPa normal pressure ambient pressure; the temperature range is generally -80℃-100℃; through the above steps, the evaluation of the solubility stability of the nutrient solution at different temperatures is realized.

[0056] Furthermore, the specific process of humidity detection is as follows: at a preset time point within a preset time period, the second nutrient solution data of the nutrient solution of the tree to be detected in the second simulation environment is measured by a data acquisition device, and the second nutrient solution data is integrated with the corresponding timestamp to obtain a second nutrient solution sequence; the second nutrient solution data includes a second pH value, a second peak area and a second turbidity; the second nutrient solution sequence represents a collection of the second nutrient solution data of the nutrient solution of the tree to be detected under humidity detection; the second simulation environment is used to simulate the humidity detection of the dissolution stability of the nutrient solution of the tree to be detected within different humidity ranges at a preset temperature and a preset pressure.

[0057] In this embodiment, humidity detection is used to detect the dissolution stability of the nutrient solution of the tree to be tested under different humidity conditions; humidity is closely related to the evaporation and absorption of the solvent. When the humidity is in the range of 0%-40%, the water evaporates quickly, which may cause the solution concentration to increase and affect the dissolution process. Due to the evaporation of water, the solute concentration in the solution increases relatively, which may cause the pH value to change and the concentration to increase. Especially when the saturated solubility of the solute is reached, part of the solute may precipitate out to form precipitation or particles, thereby increasing the turbidity of the solution; when the humidity is in the range of 60%-100%, the moisture is more stable, ensuring that the dissolution effect will not change due to water loss, but high humidity may cause water vapor in the air. Condensation causes the dilution of the nutrient solution, which in turn affects the concentration and pH value of the nutrients. When the concentration of the solution decreases, the solubility of the solute increases, thereby reducing the turbidity of the solution; the second nutrient solution data represents the nutrient solution data obtained in the humidity detection; the second pH value represents the pH value obtained in the humidity detection; the second peak area represents the peak area obtained in the humidity detection; the second turbidity represents the turbidity obtained in the humidity detection; the preset temperature, preset pressure and humidity range are obtained from the preset database; the preset temperature is generally represented by the indoor ambient temperature of 25°C; the humidity range is generally 0%-100%; through the above steps, the evaluation of the dissolution stability of the nutrient solution at different humidity is realized.

[0058] Furthermore, the specific process of pressure detection is as follows: at a preset time point within a preset time period, the third nutrient solution data of the nutrient solution of the tree to be tested in the third simulation environment is measured by a data acquisition device, and the third nutrient solution data is integrated with the corresponding timestamp to obtain a third nutrient solution sequence; the third nutrient solution data includes a third pH value, a third peak area and a third turbidity; the third nutrient solution sequence represents a collection of the third nutrient solution data of the nutrient solution of the tree to be tested under pressure detection; the third simulation environment is used to simulate the pressure detection of the dissolution stability of the nutrient solution of the tree to be tested within different pressure ranges at a preset temperature and a preset humidity.

[0059] In this embodiment, pressure detection is used to detect the dissolution stability performance of the tree nutrient solution to be tested under different pressure conditions; according to Henry's law, gas solubility is positively correlated with pressure. In the pressure range of 0MPa-0.100MPa, the gas remains dissolved in the solution, and as the pressure increases, the gas solubility also increases. For example, if the dissolved gas is acidic (such as carbon dioxide), increasing the pressure will cause the gas solubility to increase, so that more carbonic acid is formed in the solution, thereby lowering the pH value; as the gas solubility increases, the concentration of dissolved gas in the solution increases accordingly; if no obvious particles or colloids are produced after the gas is dissolved, the turbidity usually does not change, however, a small amount of bubbles may be introduced during the gas dissolution process, increasing the turbidity; within the pressure range of 0.102MPa-5MPa, gas escape may cause the dissolved gas in the solution to The content changes, thereby affecting the dissolution stability. For example, the dissolved gas is an acidic gas, and its escape will cause the acidity to decrease and the pH value of the solution to increase. The gas escape means that the dissolved gas in the solution decreases, thereby causing the total concentration in the solution to decrease. The gas escape causes bubble formation, especially when the gas is released quickly from the liquid, bubbles will appear in the solution, increasing the turbidity; the third nutrient solution data represents the nutrient solution data obtained in the pressure detection; the third pH value represents the pH value obtained in the pressure detection; the third peak area represents the peak area obtained in the pressure detection; the third turbidity represents the turbidity obtained in the pressure detection; the preset temperature, preset humidity and pressure range are obtained from the preset database; the pressure range is generally represented by 0MPa-5MPa; through the above steps, the evaluation of the dissolution stability of the nutrient solution under different pressures is achieved.

[0060] Furthermore, the environmental impact coefficient includes a temperature impact coefficient, a humidity impact coefficient and a pressure impact coefficient; the specific steps for obtaining the temperature impact coefficient are: the pH value and the turbidity in the first nutrient solution sequence of the tree nutrient solution to be tested are respectively arranged in order to obtain the corresponding first pH extreme value and the first turbidity extreme value; the difference between the first pH extreme value and the first turbidity extreme value is subjected to exponential operation, and the temperature impact coefficient is obtained after the hyperbolic tangent function operation is performed after the average value of the inverse of the concentration uniformity evaluation value is added; the corresponding first nutrient solution standard data is obtained according to the first nutrient solution sequence of the tree nutrient solution to be tested, and the first nutrient solution standard data includes a first pH value standard deviation and a first turbidity standard deviation; the first pH The extreme value includes a first maximum pH value and a first minimum pH value, and the difference of the first pH extreme value represents the difference between the first maximum pH value and the first minimum pH value; the first turbidity extreme value includes a first maximum turbidity and a first minimum turbidity, and the difference of the first turbidity extreme value represents the difference between the first maximum turbidity and the first minimum turbidity; the specific steps for obtaining the humidity influence coefficient are: the pH value and the turbidity in the second nutrient solution sequence of the tree nutrient solution to be tested are arranged in order to obtain the corresponding second pH extreme value and the second turbidity extreme value; the difference of the second pH extreme value and the difference of the second turbidity extreme value are exponentially calculated, and the hyperbolic tangent function is calculated after adding the average value of the inverse of the concentration uniformity evaluation value to obtain the humidity influence coefficient ; According to the second nutrient solution sequence of the tree nutrient solution to be tested, the corresponding second nutrient solution standard data is obtained, and the second nutrient solution standard data includes a second pH value standard deviation and a second turbidity standard deviation; the second pH extreme value includes a second maximum pH value and a second minimum pH value, and the difference between the second pH extreme values ​​represents the difference between the second maximum pH value and the second minimum pH value; the second turbidity extreme value includes a second maximum turbidity and a second minimum turbidity, and the difference between the second turbidity extreme values ​​represents the difference between the second maximum turbidity and the second minimum turbidity; the specific steps for obtaining the pressure influence coefficient are: the pH values ​​and turbidities in the third nutrient solution sequence of the tree nutrient solution to be tested are arranged in order to obtain the corresponding third pH extreme value and third turbidity extreme value ; Perform an exponential operation on the difference between the third pH extreme values ​​and the third turbidity extreme values, and add the average value of the inverse of the concentration uniformity evaluation value and then perform a hyperbolic tangent function operation to obtain the pressure influence coefficient; obtain the corresponding third nutrient solution standard data according to the third nutrient solution sequence of the tree nutrient solution to be tested, and the third nutrient solution standard data includes the third pH value standard deviation and the third turbidity standard deviation; the third pH extreme values ​​include the third maximum pH value and the third minimum pH value, and the difference between the third pH extreme values ​​represents the difference between the third maximum pH value and the third minimum pH value; the third turbidity extreme values ​​include the third maximum turbidity and the third minimum turbidity, and the difference between the third turbidity extreme values ​​represents the difference between the third maximum turbidity and the third minimum turbidity.

[0061] In this embodiment, the temperature influence coefficient indicates the influence of temperature on the dissolution stability performance of the nutrient solution of the tree to be tested; the humidity influence coefficient indicates the influence of humidity on the dissolution stability performance of the nutrient solution of the tree to be tested; the pressure influence coefficient indicates the influence of pressure on the dissolution stability performance of the nutrient solution of the tree to be tested; the first pH extreme value indicates the maximum and minimum values ​​of the pH value in temperature detection; the first turbidity extreme value indicates the maximum and minimum values ​​of the turbidity in temperature detection; the first nutrient solution standard data indicates the nutrient solution standard data in temperature detection; the first pH value standard deviation indicates the pH value standard deviation in temperature detection; the first turbidity standard deviation indicates the turbidity standard deviation in temperature detection; the second pH extreme value indicates the maximum and minimum values ​​of the pH value in humidity detection; the second turbidity extreme value indicates the maximum value of the turbidity in humidity detection and minimum value; the second nutrient solution standard data represents the nutrient solution standard data in humidity detection; the second pH value standard deviation represents the pH value standard deviation in humidity detection; the second turbidity standard deviation represents the turbidity standard deviation in humidity detection; the third pH extreme value represents the maximum and minimum values ​​of the pH value in pressure detection; the third turbidity extreme value represents the maximum and minimum values ​​of the turbidity in pressure detection; the third nutrient solution standard data represents the nutrient solution standard data in pressure detection; the third pH value standard deviation represents the pH value standard deviation in pressure detection; the third turbidity standard deviation represents the turbidity standard deviation in pressure detection; through the above steps, an accurate assessment of the degree of influence of different environmental factors on the dissolution stability performance of the nutrient solution of the tree to be tested is achieved, thereby avoiding the difference in dissolution stability performance caused by the low accuracy of the environmental impact coefficient assessment.

[0062] Specifically, the environmental impact coefficient is calculated using the following formula:

[0063] ;

[0064] In the formula, q represents the number of environmental detection, , Indicates temperature detection, Indicates humidity detection, Indicates pressure detection, represents the environmental impact coefficient of the nutrient solution of the tree to be tested in the qth environmental test, represents the maximum pH value of the nutrient solution of the tree to be tested in the qth environmental test, represents the minimum pH value of the nutrient solution of the tree to be tested in the qth environmental test, represents the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t-th preset time point in the q-th environmental test, represents the maximum turbidity of the nutrient solution of the tree to be tested in the qth environmental test, represents the minimum turbidity of the nutrient solution of the tree to be tested in the qth environmental test, represents the standard deviation of the pH value of the nutrient solution of the tree to be tested in the qth environmental test, It represents the standard deviation of turbidity of the nutrient solution of the tree to be tested in the qth environmental test.

[0065] Specific, definition ,in, is the pH value extreme of the nutrient solution of the tree to be tested in the qth environmental test, defined as ,in, is the average value of the concentration uniformity evaluation value of the nutrient solution of the tree to be tested in the qth environmental test, and is defined as ,in, is the extreme turbidity of the nutrient solution of the tree to be tested in the qth environmental test. The algorithm of the environmental impact coefficient is combined with the extreme pH value of the nutrient solution of the tree to be tested in the qth environmental test. ","The average value of the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t preset time point in the qth environmental test " and "the range of turbidity of the nutrient solution of the tree to be tested in the qth environmental test ”, comprehensive analysis yields the “environmental impact coefficient of the nutrient solution of the tree to be tested in the qth environmental test” ", and each parameter is related to each other, not independent, it is a whole, and it is not possible to obtain the "environmental impact coefficient of the nutrient solution of the tree to be tested in the qth environmental test" by simply combining and adding them. ”, for example, in this formula, “the range of pH value of the nutrient solution of the tree to be tested in the qth environmental test is " may lead to the increase of "the environmental impact coefficient of the nutrient solution of the tree to be tested in the qth environmental test "Increase does not necessarily mean that the environmental impact coefficient of the nutrient solution of the tree to be tested in the qth environmental test " is large, and at this time, it is also necessary to consider "the average value of the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t preset time point in the qth environmental test " and "the range of turbidity of the nutrient solution of the tree to be tested in the qth environmental test "It can also determine the dissolution stability of the nutrient solution of the tree to be tested under different environmental factors at the next moment. By quantitatively considering the "extreme difference in pH value of the nutrient solution of the tree to be tested in the qth environmental test" ","The average value of the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t preset time point in the qth environmental test ","The extreme difference of turbidity of the nutrient solution of the tree to be tested in the qth environmental test ” and “Environmental impact coefficient of the nutrient solution of the tree to be tested in the qth environmental test "The correlation and mutual influence between them. Generally speaking, when the range of pH value of the nutrient solution of the tree to be tested increases, it indicates that the stability performance of the nutrient solution of the tree to be tested is worse, and the environmental impact coefficient increases accordingly; when the average value of the concentration uniformity evaluation value of the nutrient solution of the tree to be tested is larger, it indicates that the stability performance of the nutrient solution of the tree to be tested is better, and the environmental impact coefficient decreases accordingly; when the range of turbidity of the nutrient solution of the tree to be tested increases, it indicates that the stability performance of the nutrient solution of the tree to be tested is worse, and the environmental impact coefficient increases accordingly. The algorithm obtained by comprehensive analysis can accurately and quantitatively analyze the influence of different environmental factors on the dissolution stability performance of the nutrient solution of the tree to be tested, which shows the effect of accurately evaluating the environmental impact coefficient. Therefore, accurate analysis is carried out by establishing mathematical forms.

[0066] Specifically, the temperature influence coefficient corresponding to the temperature detection is calculated by the following formula:

[0067] ;

[0068] In the formula, t represents the number of the preset time point, , T represents the total number of preset time points, It represents the temperature influence coefficient of the nutrient solution of the tree to be tested, Indicates the maximum pH value of the nutrient solution of the tree to be tested, Indicates the minimum pH value of the nutrient solution of the tree to be tested. represents the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t-th preset time point, Indicates the maximum turbidity of the nutrient solution of the tree to be tested, Indicates the minimum turbidity of the nutrient solution of the tree to be tested. It represents the standard deviation of pH value of the nutrient solution of the tree to be tested. It represents the standard deviation of turbidity of the nutrient solution of the tree to be tested, and the data involved are all derived from temperature detection;

[0069] The humidity influence coefficient corresponding to humidity detection is calculated by the following formula:

[0070] ;

[0071] In the formula, It represents the humidity influence coefficient of the nutrient solution of the tree to be tested, Indicates the maximum pH value of the nutrient solution of the tree to be tested, Indicates the minimum pH value of the nutrient solution of the tree to be tested. represents the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t-th preset time point, Indicates the maximum turbidity of the nutrient solution of the tree to be tested, Indicates the minimum turbidity of the nutrient solution of the tree to be tested. It represents the standard deviation of pH value of the nutrient solution of the tree to be tested. It represents the standard deviation of turbidity of the nutrient solution of the tree to be tested, and the data involved are all derived from humidity testing;

[0072] The pressure influence coefficient corresponding to the pressure detection is calculated by the following formula:

[0073] ;

[0074] In the formula, It represents the pressure influence coefficient of the nutrient solution of the tree to be tested, Indicates the maximum pH value of the nutrient solution of the tree to be tested, Indicates the minimum pH value of the nutrient solution of the tree to be tested. represents the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t-th preset time point, Indicates the maximum turbidity of the nutrient solution of the tree to be tested, Indicates the minimum turbidity of the nutrient solution of the tree to be tested. It represents the standard deviation of pH value of the nutrient solution of the tree to be tested. It represents the standard deviation of turbidity of the nutrient solution of the tree to be tested, and the data involved are all derived from pressure testing.

[0075] Furthermore, the specific steps of judging whether to prompt the preset personnel to adjust the formula of the nutrient solution of the tree to be tested according to the environmental impact coefficient based on the dissolution evaluation value of the nutrient solution of the tree to be tested and the preset dissolution evaluation threshold value are as follows: A1, performing a hyperbolic cosine function operation on the ratio of the stability coefficient and the environmental impact coefficient of the nutrient solution of the tree to be tested to obtain a hyperbolic cosine term, and performing a natural logarithm function operation on the average value of the hyperbolic cosine term to obtain a dissolution evaluation value of the nutrient solution of the tree to be tested; A2, judging whether the dissolution evaluation value of the nutrient solution of the tree to be tested is less than the preset dissolution evaluation threshold value; if the dissolution evaluation value of the nutrient solution of the tree to be tested is not less than the preset dissolution evaluation threshold value, no adjustment is made; otherwise, executing A3; A3, judging whether the temperature influence coefficient of the nutrient solution of the tree to be tested is less than the preset temperature influence threshold value; if the temperature influence coefficient of the nutrient solution of the tree to be tested is less than the preset temperature influence threshold value, If the temperature influence coefficient of the nutrient solution is less than the preset temperature influence threshold, execute A4, otherwise the preset personnel is prompted to select the solvent type, and the solvent is used to maintain stable solubility under different temperature conditions; A4, judge whether the humidity influence coefficient of the nutrient solution of the tree to be tested is less than the preset humidity influence threshold. If the humidity influence coefficient of the nutrient solution of the tree to be tested is less than the preset humidity influence threshold, execute A5, otherwise the preset personnel is prompted to use a stabilizer, and the stabilizer is used to prevent the components in the nutrient solution from being affected by humidity; A5, judge whether the pressure influence coefficient of the nutrient solution of the tree to be tested is less than the preset pressure influence threshold. If the pressure influence coefficient of the nutrient solution of the tree to be tested is less than the preset pressure influence threshold, no adjustment is made, otherwise the preset personnel is prompted to use a mixed solvent, and the mixed solvent is used to maintain the stability of the liquid under different pressure conditions.

[0076] In this embodiment, the dissolution evaluation value is used to reflect whether the nutrient solution of the tree to be tested can maintain a stable dissolved state under different environmental conditions; the preset dissolution evaluation threshold, the preset temperature influence threshold, the preset humidity influence threshold and the preset pressure influence threshold are obtained from a preset database, the preset temperature influence threshold is set to the average value of the temperature influence coefficient when the historical tree nutrient solution begins to precipitate, the preset humidity influence threshold is set to the average value of the humidity influence coefficient when the historical tree nutrient solution begins to precipitate, and the preset pressure influence threshold is set to the average value of the pressure influence coefficient when the historical tree nutrient solution begins to precipitate. The preset stability threshold, the preset temperature influence threshold, the preset humidity influence threshold and the preset pressure influence threshold are input into the algorithm of the dissolution evaluation value to obtain the preset dissolution evaluation threshold; the preset personnel represent the staff who prepares the tree nutrient solution; the larger the temperature influence coefficient, the more susceptible the nutrient solution is to temperature fluctuations. If the temperature influence coefficient is greater than the preset temperature influence threshold, the preset personnel are reminded to select a solution type that is a solvent with low temperature sensitivity, such as organic solution ethanol; in addition, a co-solvent can be added, which can help the solute maintain good solubility in a wide temperature range, such as ethylene glycol or glycerol, and the acidity and alkalinity of the solution can also be adjusted. degree, some solutes can be ionized, for example, acidic solutes are generally more soluble under alkaline conditions; the larger the humidity influence coefficient, the more susceptible the nutrient solution is to humidity fluctuations. If the humidity influence coefficient is greater than the preset humidity influence threshold, stabilizers such as vitamin E or ascorbic acid can be used; in addition, ingredients with dual effects can be used. For example, using glycerol as a base solvent can prevent excessive water loss and inhibit water absorption of the solution when the humidity is in the range of 60%-100%; the larger the pressure influence coefficient, the more susceptible the nutrient solution is to pressure fluctuations. If the pressure influence coefficient is greater than the preset The pressure affects the threshold value. By using a mixture of solvents with different vapor pressures, the effect of pressure changes on the volume of the solution can be balanced. For example, ethanol and propylene glycol can be mixed to ensure that pressure changes will not affect the volume of the liquid and the dissolution of active ingredients. In addition, anti-foaming agents can be added to the tree nutrient solution. For example, silicone oil anti-foaming agents can prevent gas precipitation and formation of foam when the pressure changes by removing dissolved gases in the solution. Through the above steps, the formula of the tree nutrient solution is systematically analyzed and adjusted to ensure that the tree nutrient solution has stable solubility and effectiveness under different environmental conditions.

[0077] Specifically, the dissolution evaluation value is calculated by the following formula:

[0078] ;

[0079] In the formula, RJ represents the dissolution evaluation value of the nutrient solution of the tree to be tested, and WD represents the stability coefficient of the nutrient solution of the tree to be tested; in detail, ; The algorithm of dissolution evaluation value is combined with the "environmental impact coefficient of the nutrient solution of the tree to be tested in the qth environmental test" " and "stability coefficient WD of the nutrient solution of the tree to be tested", comprehensive analysis is used to obtain the "dissolution evaluation value RJ of the nutrient solution of the tree to be tested", and each parameter is related to each other, not independent, it is a whole, and it is not possible to obtain the "dissolution evaluation value RJ of the nutrient solution of the tree to be tested" by simple combination and addition. For example, in this formula, "the environmental impact coefficient of the nutrient solution of the tree to be tested in the qth environmental test " may lead to an increase in the "dissolution evaluation value RJ of the nutrient solution of the tree to be tested", which does not necessarily mean that the "dissolution evaluation value RJ of the nutrient solution of the tree to be tested" is large. At this time, it is also necessary to consider the "stability coefficient WD of the nutrient solution of the tree to be tested". It can also determine the environmental adaptability of the nutrient solution of the tree to be tested at the next moment. In a quantitative way, the "environmental impact coefficient of the nutrient solution of the tree to be tested in the qth environmental test" is considered. ”, “the correlation and mutual influence between the stability coefficient WD of the nutrient solution of the tree to be tested” and the dissolution evaluation value RJ of the nutrient solution of the tree to be tested”. Generally speaking, when the environmental impact coefficient of the nutrient solution of the tree to be tested remains unchanged, the larger the stability coefficient of the nutrient solution of the tree to be tested, the larger the dissolution evaluation value, indicating that the dissolution stability effect of the nutrient solution of the tree to be tested under different environments is better; when the stability coefficient of the nutrient solution of the tree to be tested remains unchanged, the larger the environmental impact coefficient of the nutrient solution of the tree to be tested, the smaller the dissolution evaluation value, indicating that the dissolution stability effect of the nutrient solution of the tree to be tested under different environments is worse. The algorithm obtained by comprehensive analysis can accurately and quantitatively analyze the environmental adaptability of the nutrient solution of the tree to be tested, indicating the effect of accurately evaluating the dissolution evaluation value. Therefore, accurate analysis is carried out by establishing mathematical forms; the dissolution stability performance of the nutrient solution of the tree can be accurately evaluated during the preparation process, thereby avoiding the difference in dissolution stability performance caused by low evaluation accuracy.

[0080] like Figure 3As shown, it is a structural schematic diagram of a dissolution effect evaluation system for preparing a nutrient solution for a tree to be tested provided in an embodiment of the present application. A dissolution effect evaluation system for preparing a nutrient solution for a tree to be tested provided in an embodiment of the present application includes: a data preprocessing module, a stability evaluation module, an environmental detection module and a dissolution effect evaluation module; wherein the data preprocessing module is used to collect nutrient solution data of the nutrient solution for the tree to be tested through a data acquisition device, and the nutrient solution data includes concentration, pH value and volume; the stability evaluation module is used to evaluate the dissolution performance of the nutrient solution for the tree to be tested in a preset environment according to the nutrient solution data and its corresponding nutrient solution standard data to obtain a stability coefficient, and determine whether the stability coefficient is less than a preset stability threshold value. If the stability coefficient is not less than the preset stability threshold value, the environmental detection module is run, otherwise the preset personnel are prompted to prepare the nutrient solution for the tree to be tested. The stability coefficient represents the stability of the dissolution effect of the nutrient solution of the tree to be tested; the environmental detection module is used to perform environmental detection on the nutrient solution of the tree to be tested to obtain a nutrient solution sequence, and perform environmental impact assessment on the nutrient solution of the tree to be tested according to the nutrient solution sequence and the corresponding nutrient solution standard data to obtain an environmental impact coefficient, and the environmental impact coefficient is used to measure the dissolution effect of the nutrient solution of the tree to be tested in different environmental factors; the dissolution effect evaluation module is used to evaluate the nutrient solution of the tree to be tested according to the environmental impact coefficient and the stability coefficient of the nutrient solution of the tree to be tested to obtain a dissolution evaluation value of the nutrient solution of the tree to be tested, and judge whether to prompt the preset personnel to adjust the formula of the nutrient solution of the tree to be tested according to the environmental impact coefficient based on the dissolution evaluation value of the nutrient solution of the tree to be tested and the preset dissolution evaluation threshold value, and the dissolution evaluation value is used to measure the dissolution effect of the nutrient solution of the tree to be tested.

[0081] In this embodiment, the data preprocessing module represents obtaining nutrient solution data from data acquisition equipment (chromatograph, turbidity meter and pH meter); the stability evaluation module represents comparing the nutrient solution data with the standard data in a preset environment, evaluating the dissolution stability of the nutrient solution of the tree to be tested in the preset environment (standard experimental environment), and calculating the stability coefficient; the environmental detection module is used to simulate real-time monitoring of different environmental conditions (such as temperature, humidity and pressure) of the nutrient solution to be tested, record the state changes of the nutrient solution of the tree to be tested under these environmental conditions, form a nutrient solution sequence, and then compare these nutrient solution sequences with the standard data, evaluate the influence of different environmental factors on the dissolution stability effect of the nutrient solution of the tree to be tested, and calculate the environmental impact coefficient; the dissolution effect evaluation module comprehensively evaluates the stability coefficient and the environmental impact coefficient to obtain the dissolution evaluation value of the nutrient solution of the tree to be tested; a comprehensive evaluation of the dissolution stability effect of the tree nutrient solution is achieved, thereby avoiding the difference in the dissolution stability effect of the tree nutrient solution due to the low accuracy of the dissolution evaluation value.

[0082] To summarize, the embodiment of the present application obtains nutrient solution data of the tree nutrient solution to be tested, and then obtains a stability coefficient based on the nutrient solution data and its corresponding nutrient solution standard data, then obtains a nutrient solution sequence through environmental testing, and obtains an environmental impact coefficient in combination with the corresponding nutrient solution standard data, and finally combines the environmental impact coefficient and the stability coefficient to obtain a dissolution evaluation value, thereby obtaining the stability of the tree nutrient solution to be tested under different environments, thereby achieving a more accurate evaluation of the dissolution effect of the tree nutrient solution, and effectively solving the problem of insufficient correlation between the dissolution effect evaluation and the environment when preparing the tree nutrient solution in the prior art.

[0083] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0084] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0085] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0087] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0088] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for evaluating the dissolution effect of tree nutrient solution preparation, characterized in that: The following steps are involved: S1, collecting nutrient solution data of the nutrient solution of the tree to be tested by a data acquisition device, wherein the nutrient solution data includes concentration, pH value and volume; S2, in a preset environment, evaluating the dissolution performance of the nutrient solution for the tree to be tested according to the nutrient solution data and its corresponding nutrient solution standard data to obtain a stability coefficient, and judging whether the stability coefficient is less than a preset stability threshold value, if the stability coefficient is not less than the preset stability threshold value, executing S3, otherwise prompting the preset personnel to adjust the formula of the nutrient solution for the tree to be tested, and the stability coefficient represents the stability of the dissolution effect of the nutrient solution for the tree to be tested; S3, performing environmental testing on the nutrient solution of the tree to be tested to obtain a nutrient solution sequence, and performing environmental impact assessment on the nutrient solution of the tree to be tested according to the nutrient solution sequence and its corresponding nutrient solution standard data to obtain an environmental impact coefficient, wherein the environmental impact coefficient is used to measure the dissolution effect of the nutrient solution of the tree to be tested in different environmental factors; S4, evaluating the nutrient solution of the tree to be tested according to the environmental impact coefficient and the stability coefficient of the nutrient solution of the tree to be tested to obtain a dissolution evaluation value of the nutrient solution of the tree to be tested, and judging whether to prompt the preset personnel to adjust the formula of the nutrient solution of the tree to be tested according to the environmental impact coefficient based on the dissolution evaluation value of the nutrient solution of the tree to be tested and the preset dissolution evaluation threshold value, wherein the dissolution evaluation value is used to measure the dissolution effect of the nutrient solution of the tree to be tested; The standard data of the nutrient solution include a pH value standard deviation and a turbidity standard deviation; the pH value standard deviation indicates the deviation range of the pH value, indicating the volatility of the pH value; the turbidity standard deviation indicates the deviation range of the turbidity, indicating the volatility of the turbidity; The specific steps of evaluating the dissolution performance of the tree nutrient solution to be tested according to the nutrient solution data and the corresponding nutrient solution standard data in the preset environment to obtain the stability coefficient are as follows: At a preset time point within a preset time period, the nutrient solution data of the nutrient solution of the tree to be tested in a preset environment is measured by a data acquisition device; Obtaining corresponding nutrient solution standard data according to the nutrient solution data of the tree nutrient solution to be tested, wherein the nutrient solution standard data includes a pH value standard deviation and a turbidity standard deviation; The pH value and turbidity in the nutrient solution data are respectively arranged in order to obtain the pH extreme value and turbidity extreme value of the nutrient solution of the tree to be tested, wherein the pH extreme value includes the maximum pH value and the minimum pH value, and the turbidity extreme value includes the maximum turbidity and the minimum turbidity; The difference of the pH extreme values ​​and the difference of the turbidity extreme values ​​are subjected to exponential operation, and the stability coefficient of the nutrient solution of the tree to be tested is obtained by combining the average value of the concentration uniformity evaluation value, wherein the difference of the pH extreme values ​​represents the difference between the maximum pH value and the minimum pH value, and the difference of the turbidity extreme values ​​represents the difference between the maximum turbidity and the minimum turbidity; The stability factor is calculated by the following formula: ； In the formula, WD represents the stability coefficient of the nutrient solution of the tree to be tested, Indicates the maximum pH value of the nutrient solution of the tree to be tested, Indicates the minimum pH value of the nutrient solution of the tree to be tested. represents the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t-th preset time point, Indicates the maximum turbidity of the nutrient solution of the tree to be tested, Indicates the minimum turbidity of the nutrient solution of the tree to be tested. represents the standard deviation of pH value, represents the standard deviation of turbidity; The nutrient solution sequence represents a data sequence of the nutrient solution of the tree to be tested under different environmental conditions recorded during the environmental testing process; The first nutrient solution sequence represents a set of first nutrient solution data of the tree nutrient solution to be tested under temperature detection; The second nutrient solution sequence represents a set of second nutrient solution data of the tree nutrient solution to be tested under humidity detection; The third nutrient solution sequence represents a set of third nutrient solution data of the tree nutrient solution to be tested under pressure testing; The environmental influence coefficients include temperature influence coefficient, humidity influence coefficient and pressure influence coefficient; The specific steps for obtaining the temperature influence coefficient are: The pH values ​​and turbidities in the first nutrient solution sequence of the tree nutrient solution to be tested are respectively arranged in order to obtain the corresponding first pH extreme value and first turbidity extreme value; The difference between the first pH extreme value and the first turbidity extreme value are subjected to exponential operation, and the temperature influence coefficient is obtained by adding the average value of the reciprocal of the concentration uniformity evaluation value and performing a hyperbolic tangent function operation; Obtain corresponding first nutrient solution standard data according to the first nutrient solution sequence of the tree nutrient solution to be tested, wherein the first nutrient solution standard data includes a first pH value standard deviation and a first turbidity standard deviation; The first pH extremes include a first maximum pH value and a first minimum pH value, and the difference between the first pH extremes represents the difference between the first maximum pH value and the first minimum pH value; The first turbidity extremes include a first maximum turbidity and a first minimum turbidity, and the difference of the first turbidity extremes represents the difference between the first maximum turbidity and the first minimum turbidity; The specific steps for obtaining the humidity influence coefficient are: The pH values ​​and turbidities in the second nutrient solution sequence of the tree nutrient solution to be tested are respectively arranged in order to obtain the corresponding second pH extreme value and second turbidity extreme value; The difference between the second pH extreme value and the second turbidity extreme value are subjected to exponential operation, and the humidity influence coefficient is obtained by adding the average value of the reciprocal of the concentration uniformity evaluation value and performing a hyperbolic tangent function operation; Obtain corresponding second nutrient solution standard data according to the second nutrient solution sequence of the tree nutrient solution to be tested, wherein the second nutrient solution standard data includes a second pH value standard deviation and a second turbidity standard deviation; The second pH extremes include a second maximum pH value and a second minimum pH value, and the difference between the second pH extremes represents the difference between the second maximum pH value and the second minimum pH value; The second turbidity extremes include a second maximum turbidity and a second minimum turbidity, and the difference between the second turbidity extremes represents the difference between the second maximum turbidity and the second minimum turbidity; The specific steps for obtaining the pressure influence coefficient are: The pH values ​​and turbidities in the third nutrient solution sequence of the tree nutrient solution to be tested are respectively arranged in order to obtain the corresponding third pH extreme value and third turbidity extreme value; The difference between the third pH extreme value and the difference between the third turbidity extreme value are subjected to exponential operation, and the pressure influence coefficient is obtained by adding the average value of the reciprocal of the concentration uniformity evaluation value and performing a hyperbolic tangent function operation; Obtain corresponding third nutrient solution standard data according to the third nutrient solution sequence of the tree nutrient solution to be tested, wherein the third nutrient solution standard data includes a third pH value standard deviation and a third turbidity standard deviation; The third pH extremes include a third maximum pH value and a third minimum pH value, and the difference of the third pH extremes represents the difference between the third maximum pH value and the third minimum pH value; The third turbidity extreme values ​​include a third maximum turbidity and a third minimum turbidity, and the difference of the third turbidity extreme values ​​represents the difference between the third maximum turbidity and the third minimum turbidity; The environmental impact coefficient is calculated by the following formula: ； In the formula, q represents the number of environmental detection, , Indicates temperature detection, Indicates humidity detection, Indicates pressure detection, represents the environmental impact coefficient of the nutrient solution of the tree to be tested in the qth environmental test, represents the maximum pH value of the nutrient solution of the tree to be tested in the qth environmental test, represents the minimum pH value of the nutrient solution of the tree to be tested in the qth environmental test, represents the concentration uniformity evaluation value of the nutrient solution of the tree to be tested at the t-th preset time point in the q-th environmental test, represents the maximum turbidity of the nutrient solution of the tree to be tested in the qth environmental test, represents the minimum turbidity of the nutrient solution of the tree to be tested in the qth environmental test, represents the standard deviation of the pH value of the nutrient solution of the tree to be tested in the qth environmental test, It represents the standard deviation of turbidity of the nutrient solution of the tree to be tested in the qth environmental test; The specific steps of judging whether to prompt the preset personnel to adjust the formula of the nutrient solution of the tree to be tested based on the dissolution evaluation value of the nutrient solution of the tree to be tested and the preset dissolution evaluation threshold value are as follows: A1, performing a hyperbolic cosine function operation on the ratio of the stability coefficient and the environmental impact coefficient of the tree nutrient solution to be tested to obtain a hyperbolic cosine term, and performing a natural logarithm function operation on the average value of the hyperbolic cosine term to obtain a dissolution evaluation value of the tree nutrient solution to be tested; A2, judging whether the dissolution evaluation value of the nutrient solution of the tree to be tested is less than a preset dissolution evaluation threshold value, if the dissolution evaluation value of the nutrient solution of the tree to be tested is not less than the preset dissolution evaluation threshold value, then no adjustment is made, otherwise, executing A3; A3, judging whether the temperature influence coefficient of the nutrient solution of the tree to be tested is less than the preset temperature influence threshold value, if the temperature influence coefficient of the nutrient solution of the tree to be tested is less than the preset temperature influence threshold value, executing A4, otherwise prompting the preset personnel to select the solvent type; A4, judging whether the humidity influence coefficient of the nutrient solution of the tree to be detected is less than the preset humidity influence threshold value, if the humidity influence coefficient of the nutrient solution of the tree to be detected is less than the preset humidity influence threshold value, executing A5, otherwise prompting the preset personnel to use a stabilizer, the stabilizer is used to prevent the components in the nutrient solution from being affected by humidity; A5, judging whether the pressure influence coefficient of the nutrient solution of the tree to be tested is less than the preset pressure influence threshold value, if the pressure influence coefficient of the nutrient solution of the tree to be tested is less than the preset pressure influence threshold value, no adjustment is made, otherwise the preset personnel is prompted to use a mixed solvent; The dissolution evaluation value is calculated by the following formula: ； In the formula, RJ represents the dissolution evaluation value of the nutrient solution of the tree to be tested, WD represents the stability coefficient of the nutrient solution of the tree to be tested, It represents the environmental impact coefficient of the nutrient solution of the tree to be tested in the qth environmental test.

2. A dissolution effect evaluation method for preparing tree nutrient solution according to claim 1, characterized in that: Before evaluating the dissolution performance of the nutrient solution of the tree to be tested according to the nutrient solution data and the corresponding nutrient solution standard data in the preset environment to obtain the stability coefficient, the method further includes obtaining a concentration uniformity evaluation value of the nutrient solution of the tree to be tested; The specific steps for obtaining the concentration uniformity evaluation value of the tree nutrient solution to be tested are as follows: At a preset time point within a preset time period, the peak area of ​​the nutrient solution of the tree to be tested at a preset position point within a preset position range is measured by a chromatograph; The peak area of ​​the nutrient solution of the tree to be tested is calculated by ratio with the calibration coefficient to obtain the concentration of the nutrient solution of the tree to be tested, and the average value and standard deviation of the concentration of the nutrient solution of the tree to be tested are obtained accordingly; The difference between the concentration of the nutrient solution of the tree to be tested at each location and the mean concentration is squared to obtain the square difference of the concentration of the nutrient solution of the tree to be tested at all locations; The square root of the average of the square differences of the concentrations of all the positions of the nutrient solution of the tree to be tested is calculated to obtain the standard deviation of the concentrations of all the positions of the nutrient solution of the tree to be tested; The ratio of the standard deviation of the concentration of all position points of the nutrient solution of the tree to be tested to the average concentration of the nutrient solution of the tree to be tested is subjected to exponential operation to obtain a concentration uniformity evaluation value of the nutrient solution of the tree to be tested, and the concentration uniformity evaluation value is used to quantify the concentration uniformity of the nutrient solution of the tree to be tested.

3. A dissolution effect evaluation method for preparing tree nutrient solution as claimed in claim 2, characterized in that: The specific method of obtaining the calibration coefficient is as follows: Measuring the peak area of ​​the standard solution at a preset concentration point within a preset concentration range by a chromatograph; The difference in peak area of ​​the preset concentration solution and the difference in corresponding concentration are calculated by ratio, and then averaged to obtain the calibration coefficient; The calibration coefficient represents the degree of change in peak area caused by a unit concentration change.

4. A dissolution effect evaluation method for preparing tree nutrient solution according to claim 1, characterized in that: The environmental detection includes temperature detection, humidity detection and pressure detection. The specific process of the temperature detection is as follows: At a preset time point within a preset time period, first nutrient solution data of the nutrient solution of the tree to be tested in the first simulation environment is measured by a data acquisition device, and the first nutrient solution data is integrated with a corresponding timestamp to obtain a first nutrient solution sequence; The first nutrient solution data includes a first pH value, a first peak area, and a first turbidity; The first simulation environment is used to simulate the temperature detection of the dissolution stability of the tree nutrient solution to be detected within different temperature ranges under a preset humidity and a preset pressure.

5. A dissolution effect evaluation method for preparing tree nutrient solution according to claim 4, characterized in that: The specific process of humidity detection is as follows: At a preset time point within a preset time period, second nutrient solution data of the nutrient solution of the tree to be tested in the second simulation environment is measured by a data acquisition device, and the second nutrient solution data is integrated with a corresponding timestamp to obtain a second nutrient solution sequence; The second nutrient solution data includes a second pH value, a second peak area, and a second turbidity; The second simulation environment is used to simulate the humidity detection of the dissolution stability of the tree nutrient solution to be detected within different humidity ranges at a preset temperature and a preset pressure.

6. A dissolution effect evaluation method for preparing tree nutrient solution according to claim 4, characterized in that: The specific process of the pressure detection is as follows: At a preset time point within a preset time period, third nutrient solution data of the nutrient solution of the tree to be tested in the third simulation environment is measured by a data acquisition device, and the third nutrient solution data is integrated with a corresponding timestamp to obtain a third nutrient solution sequence; The third nutrient solution data includes a third pH value, a third peak area and a third turbidity; The third simulation environment is used to simulate the pressure test of the dissolution stability of the tree nutrient solution to be tested within different pressure ranges at a preset temperature and a preset humidity.

7. A system using the dissolution effect evaluation method for preparing tree nutrient solution according to any one of claims 1 to 6, characterized in that: include: Data preprocessing module, stability assessment module, environmental detection module and dissolution effect assessment module; Wherein, the data preprocessing module is used to collect nutrient solution data of the nutrient solution of the tree to be tested through a data acquisition device, and the nutrient solution data includes concentration, pH value and volume; The stability evaluation module is used to evaluate the dissolution performance of the nutrient solution of the tree to be tested according to the nutrient solution data and the corresponding nutrient solution standard data in a preset environment to obtain a stability coefficient, and determine whether the stability coefficient is less than a preset stability threshold. If the stability coefficient is not less than the preset stability threshold, the environment detection module is operated, otherwise the preset personnel are prompted to adjust the formula of the nutrient solution of the tree to be tested, and the stability coefficient represents the stability of the dissolution effect of the nutrient solution of the tree to be tested; The environmental detection module is used to perform environmental detection on the nutrient solution of the tree to be detected to obtain a nutrient solution sequence, and to perform environmental impact assessment on the nutrient solution of the tree to be detected according to the nutrient solution sequence and the nutrient solution standard data corresponding to it to obtain an environmental impact coefficient, which is used to measure the dissolution effect of the nutrient solution of the tree to be detected in different environmental factors; The dissolution effect evaluation module is used to evaluate the nutrient solution of the tree to be tested according to the environmental impact coefficient and stability coefficient of the nutrient solution of the tree to be tested to obtain a dissolution evaluation value of the nutrient solution of the tree to be tested, and based on the dissolution evaluation value of the nutrient solution of the tree to be tested and a preset dissolution evaluation threshold, it is judged whether to prompt the preset personnel to adjust the formula of the nutrient solution of the tree to be tested according to the environmental impact coefficient. The dissolution evaluation value is used to measure the dissolution effect of the nutrient solution of the tree to be tested.

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