Method for evaluating slow release property of polyurethane coated urea based on infrared spectroscopic analysis

Abstract

The invention relates to a method for evaluating the slow release property of polyurethane coated urea based on infrared spectroscopic analysis, which comprises the following steps: acquiring relative relationship data among characteristic functional groups of a slow release fertilizer coating in infrared spectroscopic data based on the characteristic functional groups of the slow release fertilizer coating, and the relative relationship data and the slow release property of the slow release fertilizer have an association relationship; and determining the slow release performance of the slow release fertilizer based on the association relationship and a preset relationship between the relative relationship data and the slow release performance. Characteristic functional groups of the coating are subjected to qualitative recognition and semi-quantitative analysis through infrared spectroscopy, the proportion of hydrophilic and hydrophobic groups of the coating is indirectly obtained, and the slow release property of the coated slow release fertilizer is rapidly screened and evaluated in combination with slow release fertilizer release experiment verification. According to the method, complex sample pretreatment is not needed, the hydrophobicity of the coating can be preliminarily judged according to the peak intensity ratio of hydrophilic and hydrophobic groups, then the slow release performance is correlated, the evaluation period is shortened, the detection cost is reduced, and the method is suitable for mass production quality control and slow release effect pre-judgment of the slow release fertilizer.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of slow-release fertilizer performance detection, and relates to a method for analyzing and evaluating the slow-release property of polyurethane coated urea based on infrared spectroscopy, in particular to a slow-release fertilizer slow-release property prediction method, system, device and storage medium. BACKGROUND

[0002] Polyurethane coated urea is a typical slow-release fertilizer, and its core principle is to hinder water molecule penetration through polyurethane coating, slow down the dissolution and release rate of urea, prolong the fertilizer effect period, and reduce nutrient loss. At present, the conventional method for evaluating the slow-release property of polyurethane coated urea mainly relies on "water dissolution experiment" or "soil incubation experiment", and the urea release amount needs to be determined for a long time (usually 7-30 days), which has the problems of long detection period, complicated operation and difficulty in meeting the real-time quality control demand of batch production. Moreover, the coating structure is destroyed, and it is impossible to realize rapid and non-destructive online detection or rapid screening of batch products. SUMMARY

[0003] In order to solve the above technical problems, the purpose of the present application is to provide a slow-release fertilizer slow-release property prediction method, system, device and storage medium.

[0004] According to one aspect of the present application, a slow-release fertilizer slow-release property prediction method is provided, comprising the following steps: preprocessing the slow-release fertilizer to obtain infrared spectrum data of the slow-release fertilizer coating after preprocessing; determining characteristic functional groups of the slow-release fertilizer coating in the infrared spectrum data based on the infrared spectrum data and the composition structure of the slow-release fertilizer coating; obtaining relative relationship data between the characteristic functional groups of the slow-release fertilizer coating in the infrared spectrum data based on the characteristic functional groups of the slow-release fertilizer coating, wherein the relative relationship data between the characteristic functional groups is used to represent the hydrophilic and hydrophobic characteristics of the slow-release fertilizer coating, and the relative relationship data and the slow-release property of the slow-release fertilizer have an associated relationship; determining the slow-release property of the slow-release fertilizer based on the associated relationship and a preset relationship between the relative relationship data and the slow-release property of the slow-release fertilizer.

[0005] Further, the relative relationship data and the slow-release property of the slow-release fertilizer have an associated relationship, which includes: The relative relationship data directly affects the penetration ability of water molecules to the slow-release fertilizer coating, and further correlates the slow-release property of the slow-release fertilizer, so that the relative relationship data, the penetration ability of water molecules to the slow-release fertilizer coating and the slow-release property of the slow-release fertilizer have an associated relationship, thereby making the relative relationship data and the slow-release property of the slow-release fertilizer have an associated relationship.

[0006] Further, the characteristic functional groups include hydrophilic characteristic functional groups and hydrophobic characteristic functional groups, the relative relationship data between the characteristic functional groups is relative content data of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups, and the preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer is an inverse relationship, that is, the relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer presents an opposite change trend.

[0007] The infrared spectrum (IR) technology can reflect the molecular structure information through the characteristic functional group absorption peaks of a substance, the hydrophilic and hydrophobic properties of the slow-release fertilizer coating are determined by the relative contents of the hydrophilic characteristic functional groups, that is, the hydrophilic groups, and the hydrophobic characteristic functional groups, that is, the hydrophobic groups in the molecules, and the hydrophilic and hydrophobic properties directly affect the permeability of water molecules to the coating, thereby relating to the slow-release performance. In the prior art, the infrared spectrum is mainly used for the qualitative structure of the slow-release fertilizer coating, and there is no method for combining the infrared spectrum with the hydrophilic and hydrophobic ratio to quickly evaluate the slow-release performance of the slow-release fertilizer, and therefore, it is urgent to develop an efficient and convenient correlation evaluation technology.

[0008] The slow-release performance index is a nutrient release period or a cumulative nutrient release rate at a specific time point.

[0009] Further, the relative content data of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups is a ratio of characteristic peak areas of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups, and when the slow-release performance of the slow-release fertilizer includes a release period of the slow-release fertilizer, the preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer includes: y = a - k × R, wherein y is the release period, a and k are fitting coefficients, R is a ratio of characteristic peak areas of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups, the larger the R value is, the stronger the hydrophilicity is, the faster the release is, and therefore the shorter the release period y is, Further, determining the slow-release performance of the slow-release fertilizer based on the correlation relationship and the preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer includes: preprocessing a known slow-release fertilizer, and determining characteristic functional groups of a coating of the known slow-release fertilizer in historical infrared spectrum data of the coating based on the historical infrared spectrum data of the coating after the preprocessing; obtaining relative relationship historical data between the characteristic functional groups of the coating of the known slow-release fertilizer in the historical infrared spectrum data of the coating of the known slow-release fertilizer based on the characteristic functional groups of the coating of the known slow-release fertilizer, constructing a prediction evaluation model by using a mathematical statistical method based on the relative relationship historical data between the characteristic functional groups, a correlation relationship between the relative relationship historical data and the slow-release performance of the known slow-release fertilizer, the prediction evaluation model corresponding to the correlation relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer and the preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer, and determining the slow-release performance of the slow-release fertilizer based on the prediction evaluation model. The relative relationship data of the slow-release fertilizer is input into the prediction evaluation model to obtain the slow-release performance of the slow-release fertilizer.

[0010] Further, the hydrophilic characteristic functional group includes O-H and / or N-H and / or -COO- characteristic functional group, and the hydrophobic characteristic functional group includes C-F and / or C-H characteristic functional group.

[0011] Further, the ratio of the characteristic peak areas of the hydrophilic characteristic functional group and the hydrophobic characteristic functional group is the ratio of the stretching vibration peak areas of the hydrophilic characteristic functional group and the hydrophobic characteristic functional group.

[0012] wherein, The O-H characteristic functional group stretching vibration peak and / or the N-H characteristic functional group stretching vibration peak is located in the wave number range of 3600-3200 cm -1 The C-H characteristic functional group stretching vibration peak is located in the wave number range of 3000-2800 cm -1 .

[0013] The slow-release fertilizer can be polyurethane coated urea, and the above slow-release performance prediction method specifically relates to a method for non-destructive and rapid determination of the proportion of hydrophilic and hydrophobic groups of a polyurethane coating film by using infrared spectrum (FT-IR) analysis technology, and a model is established based on the proportion to predict and evaluate the slow-release performance of the coated urea. The hydrophilicity and hydrophobicity of polyurethane are determined by the relative content of hydrophilic groups (such as -NH-, -COO-) and hydrophobic groups (such as -CH2-) in the molecule, and the hydrophilicity and hydrophobicity directly affect the permeability of water molecules to the coating, and then are related to the slow-release performance.

[0014] According to another aspect of the present application, a slow-release fertilizer slow-release performance prediction system is provided, comprising: a collection unit: pre-treating the slow-release fertilizer to obtain infrared spectrum data of the coating of the slow-release fertilizer after pre-treatment; a characteristic functional group confirmation unit: used for determining the characteristic functional groups of the coating of the slow-release fertilizer in the infrared spectrum data based on the infrared spectrum data and the composition structure of the coating of the slow-release fertilizer; a data processing unit: used for obtaining the relative relationship data between the characteristic functional groups of the coating of the slow-release fertilizer in the infrared spectrum data based on the characteristic functional groups of the coating of the slow-release fertilizer, wherein the relative relationship data between the characteristic functional groups is used to characterize the hydrophilic and hydrophobic properties of the coating of the slow-release fertilizer, and the relative relationship data and the slow-release performance of the slow-release fertilizer have a correlation relationship; a prediction evaluation unit: used for determining the slow-release performance of the slow-release fertilizer based on the correlation relationship and a preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer.

[0015] The system also comprises a feedback unit: by monitoring the hydrophilic-hydrophobic proportion of the slow-release fertilizer coating material in real time, instant feedback can be provided for the adjustment of coating process parameters, production can be optimized, and product consistency can be improved.

[0016] Fast and efficient: the entire analysis process can be completed in a few minutes, much faster than the traditional water soaking method which takes dozens of days.

[0017] Non-destructive testing: will not damage the sample itself, can be used for online quality monitoring in the production process and rapid sampling inspection of finished products.

[0018] Accurate prediction: by establishing a mathematical model, quantitative or semi-quantitative prediction of slow-release performance can be achieved, with high correlation.

[0019] Guide production: by monitoring the hydrophilic-hydrophobic proportion of the coating material in real time, instant feedback can be provided for the adjustment of coating process parameters, production can be optimized, and product consistency can be improved.

[0020] According to another aspect of the present application, a device is provided, the device comprising: one or more processors; a memory for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors perform the method as claimed in any one of the above.

[0021] According to another aspect of the present application, a computer readable storage medium storing a computer program is provided, the program being executed by a processor to implement the method as claimed in any one of the above.

[0022] Compared with the prior art, the present application has the following beneficial effects: 1、The slow-release fertilizer slow-release performance prediction method of the present application qualitatively identifies and semi-quantitatively analyzes the characteristic functional groups of the slow-release fertilizer coating through infrared spectroscopy (IR), indirectly obtains the hydrophilic-hydrophobic group proportion of the slow-release fertilizer coating, and realizes rapid screening and evaluation of the slow-release performance of the coated slow-release fertilizer by combining with slow-release fertilizer release experiment verification. The present application does not require complex sample pretreatment, can preliminarily judge the strength of the hydrophilic-hydrophobic group peak to preliminarily judge the strength of the hydrophobicity of the coating, and then correlate the slow-release performance, shorten the evaluation period, reduce the detection cost, and be suitable for batch production quality control and slow-release effect prediction of slow-release fertilizer.

[0023] 2、The slow-release fertilizer slow-release performance prediction system of the present application is simple in composition, and can quickly realize prediction and evaluation of the slow-release performance of the slow-release fertilizer through mutual cooperation between each component system and unit. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 is a flowchart of the slow-release fertilizer slow-release performance prediction method of the present application. DETAILED DESCRIPTION

[0025] In order to better understand the technical solutions of the present application, the present application will be further described below in conjunction with specific examples and the accompanying drawings.

[0026] Embodiment 1 The embodiment provides a slow-release fertilizer slow-release performance prediction method, including the following steps: The slow-release fertilizer is pretreated to obtain infrared spectrum data of the slow-release fertilizer coating after pretreatment, wherein the pretreatment refers to appropriate treatment (such as slight crushing to expose the inner coating or making a simulated film) of the coated slow-release fertilizer; Based on the infrared spectrum data and the composition structure of the slow-release fertilizer coating, the characteristic functional groups of the slow-release fertilizer coating in the infrared spectrum data are determined, including hydrophilic characteristic functional groups and hydrophobic characteristic functional groups; Based on the characteristic functional groups of the slow-release fertilizer coating, relative relationship data between the characteristic functional groups of the slow-release fertilizer coating in the infrared spectrum data are obtained, which are relative content data of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups, wherein the relative relationship data between the characteristic functional groups are used to represent the hydrophilic and hydrophobic properties of the slow-release fertilizer coating, and there is an associated relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer. There is an associated relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer, including: the relative relationship data directly affects the penetration ability of water molecules to the slow-release fertilizer coating, and then correlates the slow-release performance of the slow-release fertilizer, so that there is an associated relationship between the relative relationship data, the penetration ability of water molecules to the slow-release fertilizer coating and the slow-release performance of the slow-release fertilizer, thereby making the relative relationship data and the slow-release performance of the slow-release fertilizer have an associated relationship; Based on the associated relationship and the preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer, the slow-release performance of the slow-release fertilizer is determined. Further, the preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer is an inverse relationship, that is, the relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer presents an opposite change trend.

[0027] Further, the relative content data of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups is the ratio of the characteristic peak area of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups, and the slow-release performance of the slow-release fertilizer includes the release period of the slow-release fertilizer, and the preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer includes: y = a - k x R, wherein y is the release period, a and k are fitting coefficients, R is a ratio of characteristic peak areas of the hydrophilic characteristic functional group and the hydrophobic characteristic functional group, the larger the R value, the stronger the hydrophilicity, the faster the release, and thus the shorter the release period y, Further, determining the slow-release performance of the slow-release fertilizer based on the preset relationship between the correlation and the relative relationship data and the slow-release performance of the slow-release fertilizer, comprising: Pre-treating the known slow-release fertilizer, and determining the characteristic functional groups of the coating of the known slow-release fertilizer in the historical infrared spectrum data based on the historical infrared spectrum data of the coating of the known slow-release fertilizer after pre-treatment; Obtaining the relative relationship historical data between the characteristic functional groups of the coating of the known slow-release fertilizer in the historical infrared spectrum data based on the characteristic functional groups of the coating of the known slow-release fertilizer, and constructing a prediction evaluation model based on the relative relationship historical data between the characteristic functional groups, the correlation between the relative relationship historical data and the slow-release performance of the known slow-release fertilizer, and a mathematical statistical method, wherein the prediction evaluation model corresponds to the correlation between the relative relationship data and the slow-release performance of the slow-release fertilizer and the preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer; Inputting the relative relationship data of the slow-release fertilizer into the prediction evaluation model to obtain the slow-release performance of the slow-release fertilizer.

[0028] The infrared spectrum (IR) technology can reflect the molecular structure information through the characteristic functional group absorption peaks of a substance, and the hydrophilic and hydrophobic properties of the coating of the slow-release fertilizer are determined by the relative contents of the hydrophilic characteristic functional group, i.e., the hydrophilic group, and the hydrophobic characteristic functional group, i.e., the hydrophobic group in the molecule of the slow-release fertilizer, and the hydrophilic and hydrophobic properties directly affect the penetration ability of water molecules to the coating, and further affect the slow-release performance. In the prior art, the infrared spectrum is mainly used for the qualitative structure of the coating of the slow-release fertilizer, and there is no method for combining the infrared spectrum with the hydrophilic and hydrophobic ratio to quickly evaluate the slow-release performance of the slow-release fertilizer, and therefore there is an urgent need to develop an efficient and convenient correlation evaluation technology.

[0029] Further, the hydrophilic characteristic functional group includes O-H and / or N-H and / or -COO- characteristic functional group, and the hydrophobic characteristic functional group includes C-F and / or C-H characteristic functional group.

[0030] Further, the ratio of the characteristic peak areas of the hydrophilic characteristic functional group and the hydrophobic characteristic functional group is the ratio of the stretching vibration peak areas of the hydrophilic characteristic functional group and the hydrophobic characteristic functional group.

[0031] wherein, the O-H characteristic functional group stretching vibration peak and / or the N-H characteristic functional group stretching vibration peak is located in the range of 3600-3200 cm -1 The C-F characteristic functional group stretching vibration peak is located in the range of 1250-1140 cm-1 C-H characteristic functional group stretching vibration peaks are located in the range of 3000-2800 cm -1 .

[0032] The slow-release fertilizer in the embodiment can be polyurethane coated urea. The slow-release performance prediction method of the slow-release fertilizer specifically relates to a method for nondestructive and rapid determination of the proportion of hydrophilic and hydrophobic groups of a polyurethane coating film by using an infrared spectroscopy (FT-IR) analysis technology, and a model is established based on the proportion to predict and evaluate the slow-release performance of the coated urea. The hydrophilicity and hydrophobicity of the polyurethane are determined by the relative content of the hydrophilic groups (such as -NH-, -COO-) and the hydrophobic groups (such as -CH2-) in the molecules of the polyurethane, and the hydrophilicity and hydrophobicity directly affect the penetration ability of water molecules to the coating, and then are related to the slow-release performance. Specifically, the method comprises the following steps: 1) Sample preparation and spectrum collection: After the polyurethane coated urea sample is appropriately treated, that is, pretreated (such as slightly broken to expose the inner film or made into a simulated film), the infrared spectrum of the sample is collected by using a Fourier transform infrared spectrometer.

[0033] 2) Characteristic peak identification and area calculation: Hydrophobic characteristic peak: the characteristic absorption peak related to the hydrophobic performance of the polyurethane coated urea sample is selected, for example: C-H characteristic functional group stretching vibration peak (especially -CH2-, -CH3): in the range of 3000-2800 cm -1 .

[0034] Hydrophilic characteristic peak: the characteristic absorption peak related to the hydrophilic performance is selected, for example: O-H characteristic functional group stretching vibration peak: usually in the range of 3600-3200 cm -1 .

[0035] N-H characteristic functional group stretching vibration peak: usually in the range of 3500-3300 cm -1 .

[0036] The integral areas (A_hydrophobic and A_hydrophilic) of the characteristic peaks are calculated.

[0037] 3) Calculation of the proportion of hydrophilicity and hydrophobicity: the ratio of the area of the hydrophilic peak to the area of the hydrophobic peak of the coating (R = A_hydrophilic / A_hydrophobic) is calculated. The ratio R can be used as an index for characterizing the hydrophilicity and hydrophobicity of the film.

[0038] 4) Establishment of a prediction model: Model establishment: Linear regression fitting of R value and corresponding nutrient release period to obtain the correction curve equation: y = a - k x R (where y is the release period, a and k are fitting coefficients, the larger the expected R value, the stronger the hydrophilicity, the faster the release, and the shorter the release period y). Specifically, a series of polyurethane coated urea samples with different known hydrophilic-hydrophobic ratios (R value) are prepared.

[0039] The nutrient release period (such as the time required for the cumulative release rate to reach 80%) or the cumulative release rate at a specific time point of these standard samples is accurately determined by the traditional water soaking method (such as the national standard method).

[0040] A correlation model between the infrared characteristic peak area ratio (R) and the slow-release performance (such as the release period), i.e., a prediction and evaluation model, is established using mathematical statistical methods (such as linear regression, multiple linear regression, machine learning algorithms, etc.).

[0041] 5) Performance evaluation and application: For unknown polyurethane coated urea products, only the infrared spectrum needs to be determined and the R value is calculated, and the established model is substituted to quickly predict the slow-release performance.

[0042] The principle of the method is that the hydrophilic-hydrophobicity of the polyurethane coating is determined by the relative content of hydrophilic groups (-NH-, -COO-) and hydrophobic groups (-CH2-): the stronger the hydrophobicity, the more difficult the water molecules penetrate, the slower the release of urea, and the better the slow-release performance; otherwise, the slow-release performance is poor. By identifying the characteristic peaks of the two types of groups through infrared spectroscopy, calculating the peak intensity ratio (R = hydrophilic peak intensity / hydrophobic peak intensity), the hydrophilic-hydrophobic ratio can be indirectly reflected; and the cumulative release rate is verified by the dissolution experiment in water, the slow-release performance is accurately evaluated.

[0043] Advantages of the present application: Fast and efficient: the entire analysis process can be completed in 3-10 minutes, which is much faster than the traditional water soaking method which takes dozens of days.

[0044] Non-destructive testing: will not damage the sample itself, can be used for online quality monitoring and rapid sampling of finished products during production.

[0045] Precise prediction: by establishing a mathematical model, the slow-release performance can be quantitatively or semi-quantitatively predicted, with high correlation.

[0046] Guiding production: by monitoring the hydrophilic-hydrophobic ratio of the coating material in real time, immediate feedback can be provided for adjusting the coating process parameters, optimizing production, and improving product consistency.

[0047] According to another aspect of the present application, the embodiment provides a slow-release fertilizer slow-release performance prediction system, comprising: The collection unit is used for pre-treating the slow-release fertilizer to obtain infrared spectrum data of the pre-treated slow-release fertilizer coating; The characteristic functional group confirmation unit is used for determining the characteristic functional groups of the slow-release fertilizer coating in the infrared spectrum data based on the infrared spectrum data and the composition structure of the slow-release fertilizer coating; The data processing unit is used for obtaining relative relationship data between the characteristic functional groups of the slow-release fertilizer coating in the infrared spectrum data based on the characteristic functional groups of the slow-release fertilizer coating, wherein the relative relationship data between the characteristic functional groups is used for characterizing the hydrophilic-hydrophobic property of the slow-release fertilizer coating, and the relative relationship data and the slow-release performance of the slow-release fertilizer have a correlation relationship; The prediction evaluation unit is used for determining the slow-release performance of the slow-release fertilizer based on the correlation relationship and a preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer.

[0048] The feedback unit is further included, which is used for providing instant feedback for the adjustment of the coating process parameters by monitoring the hydrophilic-hydrophobic proportion of the slow-release fertilizer coating material in real time, optimizing production, and improving product consistency.

[0049] It should be understood that the subsystems or units described in the slow-release fertilizer slow-release performance prediction system correspond to the steps described in the slow-release fertilizer slow-release performance prediction method. Therefore, the operations and features described above for the method are also applicable to the subsystems of the slow-release fertilizer slow-release performance prediction system and the units included therein, and will not be described here again.

[0050] As another aspect, the embodiments also provide a device suitable for implementing the embodiments of the present application, which includes a computer system including a central processing unit (CPU) that can perform various appropriate actions and processes according to corresponding programs stored in a read-only memory (ROM) for performing the steps of the slow-release fertilizer slow-release performance prediction method or programs loaded from a storage part into a random access memory (RAM) for performing the steps of the slow-release fertilizer slow-release performance prediction method. In the RAM, various programs and data required for system operation are also stored. The CPU, the ROM, and the RAM are connected to each other through a bus. An input / output (I / O) interface is also connected to the bus.

[0051] The following components are connected to the I / O interface: an input part including a keyboard, a mouse, etc.; an output part including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage part including a hard disk, etc.; and a communication part including a network interface card such as a LAN card, a modem, etc. The communication part performs communication processing via a network such as the Internet. A drive is also connected to the I / O interface as necessary. A removable medium such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is attached to the drive as necessary, so that a computer program read out therefrom is installed in the storage part as necessary.

[0052] In particular, according to embodiments of the present disclosure, the processes described in the steps of the above-described slow-release fertilizer slow-release performance prediction method can be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program containing program code for executing the above-described slow-release fertilizer slow-release performance prediction method. In such embodiments, the computer program can be downloaded and installed from a network via the communication part, and / or installed from a removable medium.

[0053] The flow diagrams in the drawings illustrate the architecture, functionality, and operations of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flow diagrams can represent a module, a segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently or the blocks may

[0054] The units or modules involved in the embodiments described in the present application can be implemented in the form of software, or can be implemented in the form of hardware. The described units or modules can also be arranged in a processor. The names of these units or modules do not constitute a limitation on the units or modules themselves in some cases.

[0055] As another aspect, the embodiment also provides a computer readable storage medium, which can be the computer readable storage medium contained in the system described in the above embodiment; or can exist independently and not be assembled into the device. The computer readable storage medium stores one or more programs used by one or more processors to execute the method for predicting the slow-release performance of slow-release fertilizer.

[0056] Embodiment 2 The same features of this embodiment as those of Embodiment 1 will not be described again. The different features of this embodiment from those of Embodiment 1 are as follows: Sample preparation: a batch of polyurethane coated urea samples produced by different formulations were selected.

[0057] Standard release performance determination: according to the method of GB / T 34763-2017, the nutrient release period of the sample was determined to be 30 days.

[0058] Infrared spectrum acquisition: a small amount of the above sample was taken, slightly crushed to expose the inner surface, and the infrared spectrum data of each sample was collected using a Bruker MPAII Fourier transform near-infrared spectrometer.

[0059] Characteristic peak analysis and R value calculation: for each spectrum, the peak area integration was performed at 3600-3200 cm -1 (O-H and / or N-H, hydrophilic region) and 3000-2800 cm -1 (-CH2-hydrophobic region), and the R value was calculated to be 0.36.

[0060] Model establishment: the R value and the corresponding nutrient release period were linearly regressed to fit the calibration curve equation: y = 73.9 - 37.5 x R (where y is the release period, 73.9 and 37.5 are fitting coefficients, the larger the expected R value, the stronger the hydrophilicity, the faster the release, and therefore the shorter the release period y).

[0061] Embodiment 3 The same features of this embodiment as those of Embodiment 1 will not be described again. The different features of this embodiment from those of Embodiment 1 are as follows: Standard release performance determination: according to the method of GB / T 34763-2017, the nutrient release period of the sample was determined to be 60 days.

[0062] Infrared spectrum acquisition: a small amount of the above sample was taken, slightly crushed to expose the inner surface, and the infrared spectrum of each sample was collected using a Bruker MPAII Fourier transform near-infrared spectrometer.

[0063] Characteristic peak analysis and R value calculation: for each spectrum, the peak area integration was performed at 3600-3200 cm -1(OH / NH, hydrophilic zone) and 1250-1140 cm -1 The peak area integral (CF, hydrophobic region) is calculated to yield an R value of 0.28.

[0064] Model establishment: The R value and the corresponding nutrient release period were fitted by linear regression to obtain the calibration curve equation: y = 73.9 - 37.5 × R (where y is the release period, 73.9 and 37.5 are the fitting coefficients. It is expected that the larger the R value, the stronger the hydrophilicity, and the faster the release may be, so the release period y is shorter).

[0065] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to the technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, the above-described features have similar functions to (but are not limited to) those disclosed in this application.

Claims

1. A method for predicting the slow release property of a slow release fertilizer, characterized by, The method comprises the following steps: The slow-release fertilizer is pretreated to obtain infrared spectrum data of the slow-release fertilizer coating after pretreatment; Based on the infrared spectrum data and the composition structure of the slow-release fertilizer coating, characteristic functional groups of the slow-release fertilizer coating in the infrared spectrum data are determined; Based on the characteristic functional groups of the slow-release fertilizer coating, relative relationship data between the characteristic functional groups of the slow-release fertilizer coating in the infrared spectrum data are obtained, wherein the relative relationship data between the characteristic functional groups are used to characterize the hydrophilic and hydrophobic properties of the slow-release fertilizer coating, and the relative relationship data are associated with the slow-release performance of the slow-release fertilizer; Based on the association relationship and a preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer, the slow-release performance of the slow-release fertilizer is determined.

2. The method for predicting slow-release properties of slow-release fertilizer according to claim 1, characterized by, The association relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer includes: The relative relationship data directly affect the penetration ability of water molecules to the slow-release fertilizer coating, and then associate the slow-release performance of the slow-release fertilizer, so that the association relationship exists among the relative relationship data, the penetration ability of water molecules to the slow-release fertilizer coating and the slow-release performance of the slow-release fertilizer, thereby the association relationship exists between the relative relationship data and the slow-release performance of the slow-release fertilizer.

3. The method for predicting the slow-release property of the slow-release fertilizer according to claim 2, characterized by, The characteristic functional groups include hydrophilic characteristic functional groups and hydrophobic characteristic functional groups, the relative relationship data between the characteristic functional groups are relative content data of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups, and the preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer is an inverse relationship, that is, the relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer presents an opposite change trend.

4. The method of claim 3 for predicting the slow release property of the slow release fertilizer, The relative content data of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups are a ratio of characteristic peak areas of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups, the slow-release performance of the slow-release fertilizer includes a release period of the slow-release fertilizer, and the preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer includes: y = a - k × R, wherein y is the release period, a and k are fitting coefficients, R is the ratio of the characteristic peak areas of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups, the larger the R value is, the stronger the hydrophilicity is, the faster the release is, and therefore the shorter the release period y is, Based on the association relationship and the preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer, the slow-release performance of the slow-release fertilizer is determined, which includes: The known slow-release fertilizer is pretreated, and based on infrared spectrum historical data of the known slow-release fertilizer coating after pretreatment, characteristic functional groups of the known slow-release fertilizer coating in the infrared spectrum historical data are determined; The relative relationship historical data between the characteristic functional groups of the known slow-release fertilizer coating is obtained based on the characteristic functional groups of the known slow-release fertilizer coating, and a prediction evaluation model is constructed by using a mathematical statistical method based on the relative relationship historical data and the correlation between the relative relationship historical data and the slow-release performance of the known slow-release fertilizer, and the prediction evaluation model corresponds to the correlation between the relative relationship data and the slow-release performance of the slow-release fertilizer and a preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer; The slow-release performance of the slow-release fertilizer is obtained by inputting the relative relationship data of the slow-release fertilizer into the prediction evaluation model.

5. The method for predicting the slow-release property of the slow-release fertilizer according to claim 3 or 4, characterized by, The hydrophilic characteristic functional groups include O-H and / or N-H and / or -COO- characteristic functional groups, and the hydrophobic characteristic functional groups include C-H characteristic functional groups.

6. The slow-release performance prediction method of the slow-release fertilizer according to claim 5, characterized in that, The ratio of the characteristic peak areas of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups is the ratio of the stretching vibration peak areas of the hydrophilic characteristic functional groups and the hydrophobic characteristic functional groups.

7. The slow-release performance prediction method of the slow-release fertilizer according to claim 6, characterized in that, the O-H characteristic functional group stretching vibration peak and / or the N-H characteristic functional group stretching vibration peak is located in the range of 3600-3200 cm -1 the C-F characteristic functional group stretching vibration peak is located in the range of 1250-1140 cm -1 the C-H characteristic functional group stretching vibration peak is located in the range of 3000-2800 cm -1 the C-H characteristic functional group stretching vibration peak is located in the range of 3000-2800 cm 8. A slow-release fertilizer slow-release property prediction system characterized by, The device comprises: a collecting unit for pre-treating the slow-release fertilizer and obtaining infrared spectrum data of the slow-release fertilizer coating after the pre-treatment; a characteristic functional group confirming unit for determining characteristic functional groups of the slow-release fertilizer coating in the infrared spectrum data based on the infrared spectrum data and the composition structure of the slow-release fertilizer coating; a data processing unit for obtaining relative relationship data between the characteristic functional groups of the slow-release fertilizer coating in the infrared spectrum data based on the characteristic functional groups of the slow-release fertilizer coating, wherein the relative relationship data between the characteristic functional groups is used to represent the hydrophilic and hydrophobic properties of the slow-release fertilizer coating, and the relative relationship data and the slow-release performance of the slow-release fertilizer have a correlation relationship; a prediction evaluation unit for determining the slow-release performance of the slow-release fertilizer based on the correlation relationship and a preset relationship between the relative relationship data and the slow-release performance of the slow-release fertilizer.

9. An apparatus, characterized by The device comprises: one or more processors; a memory for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors perform the method of any one of claims 1-7.

10. A computer readable storage medium storing a computer program, characterized in that, The program is executed by the processor to implement the method of any one of claims 1-7. The program is executed by the processor to implement the method of any one of claims 1-7.

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