CN116715560B - Intelligent preparation method and system of controlled release fertilizer - Google Patents
Intelligent preparation method and system of controlled release fertilizer Download PDFInfo
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- CN116715560B CN116715560B CN202311006088.3A CN202311006088A CN116715560B CN 116715560 B CN116715560 B CN 116715560B CN 202311006088 A CN202311006088 A CN 202311006088A CN 116715560 B CN116715560 B CN 116715560B
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- 239000003337 fertilizer Substances 0.000 title claims abstract description 266
- 238000013270 controlled release Methods 0.000 title claims abstract description 211
- 238000002360 preparation method Methods 0.000 title claims abstract description 37
- 238000000576 coating method Methods 0.000 claims abstract description 150
- 239000011248 coating agent Substances 0.000 claims abstract description 145
- 239000007788 liquid Substances 0.000 claims abstract description 64
- 239000004814 polyurethane Substances 0.000 claims abstract description 47
- 229920002635 polyurethane Polymers 0.000 claims abstract description 47
- 239000002245 particle Substances 0.000 claims abstract description 38
- 238000006243 chemical reaction Methods 0.000 claims abstract description 35
- CSCPPACGZOOCGX-UHFFFAOYSA-N Acetone Chemical compound CC(C)=O CSCPPACGZOOCGX-UHFFFAOYSA-N 0.000 claims abstract description 32
- 239000004372 Polyvinyl alcohol Substances 0.000 claims abstract description 25
- 238000000889 atomisation Methods 0.000 claims abstract description 25
- 229920002451 polyvinyl alcohol Polymers 0.000 claims abstract description 25
- 241000779819 Syncarpia glomulifera Species 0.000 claims abstract description 24
- 239000001739 pinus spp. Substances 0.000 claims abstract description 24
- 229940036248 turpentine Drugs 0.000 claims abstract description 24
- 238000005507 spraying Methods 0.000 claims abstract description 20
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- 238000003756 stirring Methods 0.000 claims abstract description 15
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- LYCAIKOWRPUZTN-UHFFFAOYSA-N Ethylene glycol Chemical compound OCCO LYCAIKOWRPUZTN-UHFFFAOYSA-N 0.000 description 6
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- UPMLOUAZCHDJJD-UHFFFAOYSA-N 4,4'-Diphenylmethane Diisocyanate Chemical compound C1=CC(N=C=O)=CC=C1CC1=CC=C(N=C=O)C=C1 UPMLOUAZCHDJJD-UHFFFAOYSA-N 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 2
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- 229920000909 polytetrahydrofuran Polymers 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- KMBMQZQZBOLJHN-UHFFFAOYSA-N 2-methyloxirane;oxolane Chemical compound CC1CO1.C1CCOC1 KMBMQZQZBOLJHN-UHFFFAOYSA-N 0.000 description 1
- RRGWGGMLRQFLIG-UHFFFAOYSA-N N#[C-].N#[C-].C1(=CC=CC=C1)C Chemical compound N#[C-].N#[C-].C1(=CC=CC=C1)C RRGWGGMLRQFLIG-UHFFFAOYSA-N 0.000 description 1
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Classifications
-
- C—CHEMISTRY; METALLURGY
- C05—FERTILISERS; MANUFACTURE THEREOF
- C05G—MIXTURES OF FERTILISERS COVERED INDIVIDUALLY BY DIFFERENT SUBCLASSES OF CLASS C05; MIXTURES OF ONE OR MORE FERTILISERS WITH MATERIALS NOT HAVING A SPECIFIC FERTILISING ACTIVITY, e.g. PESTICIDES, SOIL-CONDITIONERS, WETTING AGENTS; FERTILISERS CHARACTERISED BY THEIR FORM
- C05G5/00—Fertilisers characterised by their form
- C05G5/30—Layered or coated, e.g. dust-preventing coatings
- C05G5/37—Layered or coated, e.g. dust-preventing coatings layered or coated with a polymer
-
- C—CHEMISTRY; METALLURGY
- C05—FERTILISERS; MANUFACTURE THEREOF
- C05G—MIXTURES OF FERTILISERS COVERED INDIVIDUALLY BY DIFFERENT SUBCLASSES OF CLASS C05; MIXTURES OF ONE OR MORE FERTILISERS WITH MATERIALS NOT HAVING A SPECIFIC FERTILISING ACTIVITY, e.g. PESTICIDES, SOIL-CONDITIONERS, WETTING AGENTS; FERTILISERS CHARACTERISED BY THEIR FORM
- C05G3/00—Mixtures of one or more fertilisers with additives not having a specially fertilising activity
- C05G3/40—Mixtures of one or more fertilisers with additives not having a specially fertilising activity for affecting fertiliser dosage or release rate; for affecting solubility
-
- C—CHEMISTRY; METALLURGY
- C05—FERTILISERS; MANUFACTURE THEREOF
- C05G—MIXTURES OF FERTILISERS COVERED INDIVIDUALLY BY DIFFERENT SUBCLASSES OF CLASS C05; MIXTURES OF ONE OR MORE FERTILISERS WITH MATERIALS NOT HAVING A SPECIFIC FERTILISING ACTIVITY, e.g. PESTICIDES, SOIL-CONDITIONERS, WETTING AGENTS; FERTILISERS CHARACTERISED BY THEIR FORM
- C05G5/00—Fertilisers characterised by their form
- C05G5/10—Solid or semi-solid fertilisers, e.g. powders
- C05G5/12—Granules or flakes
-
- C—CHEMISTRY; METALLURGY
- C05—FERTILISERS; MANUFACTURE THEREOF
- C05G—MIXTURES OF FERTILISERS COVERED INDIVIDUALLY BY DIFFERENT SUBCLASSES OF CLASS C05; MIXTURES OF ONE OR MORE FERTILISERS WITH MATERIALS NOT HAVING A SPECIFIC FERTILISING ACTIVITY, e.g. PESTICIDES, SOIL-CONDITIONERS, WETTING AGENTS; FERTILISERS CHARACTERISED BY THEIR FORM
- C05G5/00—Fertilisers characterised by their form
- C05G5/30—Layered or coated, e.g. dust-preventing coatings
- C05G5/38—Layered or coated, e.g. dust-preventing coatings layered or coated with wax or resins
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P60/00—Technologies relating to agriculture, livestock or agroalimentary industries
- Y02P60/20—Reduction of greenhouse gas [GHG] emissions in agriculture, e.g. CO2
- Y02P60/21—Dinitrogen oxide [N2O], e.g. using aquaponics, hydroponics or efficiency measures
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Pest Control & Pesticides (AREA)
- Chemical & Material Sciences (AREA)
- Organic Chemistry (AREA)
- Fertilizers (AREA)
Abstract
The application discloses an intelligent preparation method and system of a controlled release fertilizer, and relates to the technical field of intelligent preparation, wherein polyisocyanate and polyalcohol are mixed and then react with an acetone solvent to obtain water-soluble polyurethane; placing the water-soluble polyurethane, turpentine and polyvinyl alcohol into a reaction kettle for stirring reaction to form a coating liquid, and carrying out atomization treatment on the coating liquid under the action of a pressure pump to obtain an atomized coating liquid; and spraying the atomized coating liquid on the surface of the preheated fertilizer particles to obtain the coated controlled release fertilizer. After the coating process, the prefabricated coated controlled release fertilizer is visually detected to judge whether the surface coating is complete, so that the quality and efficiency of the coating are improved.
Description
Technical Field
The application relates to the technical field of intelligent preparation, in particular to an intelligent preparation method and system of a controlled release fertilizer.
Background
The controlled release fertilizer is a novel fertilizer with controllable and high technical content, and the nutrient release speed can be regulated and controlled by physical, chemical and biotechnology means, so that the bidirectional regulation of the release promotion or the slow release is realized, the supply of nutrient elements in the fertilizer is basically synchronous with the nutrient requirements of crops, and the dynamic balance is realized, thereby improving the nutrient utilization rate and reducing the waste of the fertilizer.
In the preparation process of the controlled release fertilizer, the quality, especially the integrity of the coating is an important index. Incomplete coating can lead to premature release of nutrients by the fertilizer, and the controlled release effect is reduced. Therefore, in the preparation process of the controlled release fertilizer, the quality of the fertilizer coating is very important to detect. However, in the conventional coating scheme, after the fertilizer is subjected to multiple coating treatments, the quality of the fertilizer is detected by analyzing the photographed image by a detector. This approach is subject to experience and subjectivity of the inspector, and different inspectors may have different criteria, resulting in inconsistent results. Moreover, the manual detection needs to consume a great deal of time and manpower resources, and especially has lower efficiency for large-scale fertilizer coating production. Meanwhile, the manual detection is often difficult to detect for tiny coating defects, and some tiny but important defects are easily ignored, so that the coating quality is affected.
Thus, an optimized intelligent preparation scheme of controlled release fertilizers is desired.
Disclosure of Invention
The embodiment of the application provides an intelligent preparation method and a system of a controlled release fertilizer, wherein polyisocyanate and polyalcohol are mixed and then react with an acetone solvent to obtain water-soluble polyurethane; placing the water-soluble polyurethane, turpentine and polyvinyl alcohol into a reaction kettle for stirring reaction to form a coating liquid, and carrying out atomization treatment on the coating liquid under the action of a pressure pump to obtain an atomized coating liquid; and spraying the atomized coating liquid on the surface of the preheated fertilizer particles to obtain the coated controlled release fertilizer. After the coating process, the prefabricated coated controlled release fertilizer is visually detected to judge whether the surface coating is complete, so that the quality and efficiency of the coating are improved.
The embodiment of the application also provides an intelligent preparation method of the controlled release fertilizer, which comprises the following steps:
mixing polyisocyanate and polyol, and then reacting with an acetone solvent to obtain water-soluble polyurethane;
placing the water-soluble polyurethane, turpentine and polyvinyl alcohol into a reaction kettle for stirring reaction to form a coating liquid, and carrying out atomization treatment on the coating liquid under the action of a pressure pump to obtain an atomized coating liquid;
and spraying the atomized coating liquid on the surface of the preheated fertilizer particles to obtain the coated controlled release fertilizer.
The embodiment of the application also provides an intelligent preparation system of the controlled release fertilizer, which comprises the following steps:
the solution reaction module is used for mixing polyisocyanate and polyol and then reacting with an acetone solvent to obtain water-soluble polyurethane;
the atomization treatment module is used for placing the water-soluble polyurethane, turpentine and polyvinyl alcohol into a reaction kettle for stirring reaction to form a coating liquid, and carrying out atomization treatment on the coating liquid under the action of a pressure pump to obtain an atomized coating liquid;
and the spraying module is used for spraying the atomized coating liquid on the surfaces of the preheated fertilizer particles to obtain the coated controlled-release fertilizer.
Compared with the prior art, the intelligent preparation method and the system of the controlled release fertilizer provided by the embodiment of the application have the advantages that polyisocyanate and polyol are mixed and then react with acetone solvent to obtain water-soluble polyurethane; placing the water-soluble polyurethane, turpentine and polyvinyl alcohol into a reaction kettle for stirring reaction to form a coating liquid, and carrying out atomization treatment on the coating liquid under the action of a pressure pump to obtain an atomized coating liquid; and spraying the atomized coating liquid on the surface of the preheated fertilizer particles to obtain the coated controlled release fertilizer. After the coating process, the prefabricated coated controlled release fertilizer is visually detected to judge whether the surface coating is complete, so that the quality and efficiency of the coating are improved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. In the drawings:
fig. 1 is a flowchart of an intelligent preparation method of a controlled release fertilizer provided in an embodiment of the present application.
Fig. 2 is a schematic diagram of a system architecture of an intelligent preparation method of a controlled release fertilizer according to an embodiment of the present application.
Fig. 3 is a flowchart showing the substeps of step 130 in the method for intelligently preparing a controlled release fertilizer according to an embodiment of the present application.
Fig. 4 is a block diagram of an intelligent preparation system for a controlled release fertilizer according to an embodiment of the present application.
Fig. 5 is an application scenario diagram of an intelligent preparation method of a controlled release fertilizer provided in an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings. The exemplary embodiments of the present application and their descriptions herein are for the purpose of explaining the present application, but are not to be construed as limiting the application.
Unless defined otherwise, all technical and scientific terms used in the embodiments of the application have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the present application is for the purpose of describing particular embodiments only and is not intended to limit the scope of the present application.
In describing embodiments of the present application, unless otherwise indicated and limited thereto, the term "connected" should be construed broadly, for example, it may be an electrical connection, or may be a communication between two elements, or may be a direct connection, or may be an indirect connection via an intermediate medium, and it will be understood by those skilled in the art that the specific meaning of the term may be interpreted according to circumstances.
It should be noted that, the term "first\second\third" related to the embodiment of the present application is merely to distinguish similar objects, and does not represent a specific order for the objects, it is to be understood that "first\second\third" may interchange a specific order or sequence where allowed. It is to be understood that the "first\second\third" distinguishing objects may be interchanged where appropriate such that embodiments of the application described herein may be practiced in sequences other than those illustrated or described herein.
In one embodiment of the present application, fig. 1 is a flowchart of an intelligent preparation method of a controlled release fertilizer provided in the embodiment of the present application. As shown in fig. 1, an intelligent preparation method 100 of a controlled release fertilizer according to an embodiment of the present application includes: 110, mixing polyisocyanate and polyol, and then reacting with an acetone solvent to obtain water-soluble polyurethane; 120, placing the water-soluble polyurethane, turpentine and polyvinyl alcohol into a reaction kettle for stirring reaction to form a coating liquid, and carrying out atomization treatment on the coating liquid under the action of a pressure pump to obtain an atomized coating liquid; and 130, spraying the atomized coating liquid on the surface of the preheated fertilizer particles to obtain the coated controlled release fertilizer.
Wherein the polyisocyanate is one of toluene diisonitrile, diphenylmethane diisocyanate and polymethylene polyphenyl diisocyanate. The polyol is one of polyoxypropylene glycol, polytetrahydrofuran glycol and tetrahydrofuran-propylene oxide copolyglycol.
In one embodiment of the application, the polyisocyanate and the polyol are mixed according to the proportion of 0.9-1.5:1, and the mixture reacts with acetone as a solvent to produce water-soluble polyurethane; 5-20 parts of turpentine and 0.5-2 parts of polyvinyl alcohol are placed in a reaction kettle to be stirred and reacted for 1h at 50 ℃ to form coating liquid, fertilizer particles are sent into a fluidized bed to be preheated at 60 ℃ and fall under the action of gravity to form jet flow, the coating liquid is sprayed on the surfaces of the fertilizer particles, and primary coating is completed through hot air drying at 70-90 ℃; continuously coating the fertilizer in a circulating fluidized bed for 2-4 hours to form a coated controlled release fertilizer; and recycling the coating liquid steam into the reaction kettle through a condensation recovery device for repeated dissolution and utilization.
The average polymerization degree of the polyvinyl alcohol is 1000-1200.
The application is described in detail below with reference to specific examples.
Example 1:
(1) Preparing water-soluble polyurethane, mixing toluene diisonitrile ester and polyoxypropylene glycol according to the ratio of 0.9:1, and reacting with acetone as a solvent to obtain the water-soluble polyurethane;
(2) Taking 100 parts of water-soluble polyurethane obtained in the step (1), 5 parts of turpentine and 0.5 part of polyvinyl alcohol, placing the water-soluble polyurethane, the turpentine and the polyvinyl alcohol in a reaction kettle, stirring and reacting for 1h at 50 ℃ to form a coating liquid, and under the action of a pressure pump, enabling the atomization pressure of the coating liquid to reach 0.05Mpa; the atomization speed is 5mL/min;
(3) 1000 parts of fertilizer particles are sent into a fluidized bed through a conveyor belt to be preheated at 60 ℃, the gravity is utilized to drop to form jet flow, the coating liquid obtained in the step (2) is sprayed on the surfaces of the fertilizer particles through a spraying device, and the fertilizer particles are dried through hot air at 80 ℃ to complete primary coating; the fertilizer particles subjected to primary coating enter a circulating fluidized bed for continuous coating, and the coating is finished within 2 hours to form coated controlled release fertilizer;
(4) And (3) recycling the coating liquid steam into the reaction kettle of the step (2) through a condensation recovery device for repeated dissolution and utilization.
Example 2:
(1) Preparing water-soluble polyurethane, mixing toluene diisonitrile ester and polyoxypropylene glycol according to the ratio of 0.9:1, and reacting with acetone as a solvent to obtain the water-soluble polyurethane;
(2) Taking 100 parts of water-soluble polyurethane obtained in the step (1), 5 parts of turpentine and 0.5 part of polyvinyl alcohol, placing the water-soluble polyurethane, the turpentine and the polyvinyl alcohol in a reaction kettle, stirring and reacting for 1h at 50 ℃ to form a coating liquid, and under the action of a pressure pump, enabling the atomization pressure of the coating liquid to reach 0.1Mpa; the atomization speed is 5mL/min;
(3) 1000 parts of fertilizer particles are sent into a fluidized bed through a conveyor belt to be preheated at 60 ℃, the gravity is utilized to drop to form jet flow, the coating liquid obtained in the step (2) is sprayed on the surfaces of the fertilizer particles through a spraying device, and the fertilizer particles are dried through hot air at 80 ℃ to complete primary coating; the fertilizer particles subjected to primary coating enter a circulating fluidized bed for continuous coating, and the coating is finished within 2 hours to form coated controlled release fertilizer;
(4) And (3) recycling the coating liquid steam into the reaction kettle of the step (2) through a condensation recovery device for repeated dissolution and utilization.
Example 3:
(1) Preparing water-soluble polyurethane, mixing toluene diisonitrile ester and polyoxypropylene glycol according to the ratio of 1:1, and reacting with acetone as a solvent to obtain the water-soluble polyurethane;
(2) Taking 100 parts of water-soluble polyurethane obtained in the step (1), 10 parts of turpentine and 1 part of polyvinyl alcohol, placing the water-soluble polyurethane, 10 parts of turpentine and 1 part of polyvinyl alcohol into a reaction kettle, stirring and reacting for 1h at 50 ℃ to form a coating liquid, and under the action of a pressure pump, enabling the atomization pressure of the coating liquid to reach 0.2Mpa; the atomization speed is 10mL/min;
(3) 3000 parts of fertilizer particles are sent into a fluidized bed through a conveyor belt to be preheated at 60 ℃, gravity is utilized to drop to form jet flow, the coating liquid obtained in the step (2) is sprayed on the surfaces of the fertilizer particles through a spraying device, and the fertilizer particles are dried through hot air at 70 ℃ to complete primary coating; the fertilizer particles subjected to primary coating enter a circulating fluidized bed for continuous coating, and the coating is finished within 3 hours to form coated controlled release fertilizer;
(4) And (3) recycling the coating liquid steam into the reaction kettle of the step (2) through a condensation recovery device for repeated dissolution and utilization.
Example 4:
(1) Preparing water-soluble polyurethane, mixing toluene diisonitrile ester and polyoxypropylene glycol according to the ratio of 1.2:1, and reacting with acetone as a solvent to obtain the water-soluble polyurethane;
(2) Taking 100 parts of water-soluble polyurethane obtained in the step (1), 10 parts of turpentine and 1 part of polyvinyl alcohol, placing the water-soluble polyurethane, 10 parts of turpentine and 1 part of polyvinyl alcohol into a reaction kettle, stirring and reacting for 1h at 50 ℃ to form a coating liquid, and under the action of a pressure pump, enabling the atomization pressure of the coating liquid to reach 0.2Mpa; the atomization speed is 10mL/min;
(3) 3000 parts of fertilizer particles are sent into a fluidized bed through a conveyor belt to be preheated at 60 ℃, gravity is utilized to drop to form jet flow, the coating liquid obtained in the step (2) is sprayed on the surfaces of the fertilizer particles through a spraying device, and the fertilizer particles are dried through hot air at 90 ℃ to complete primary coating; continuously coating the fertilizer particles subjected to primary coating in a circulating fluidized bed within 3 hours to form coated controlled release fertilizer;
(4) And (3) recycling the coating liquid steam into the reaction kettle of the step (2) through a condensation recovery device for repeated dissolution and utilization.
Example 5:
(1) Preparing water-soluble polyurethane, mixing toluene diisonitrile ester and polyoxypropylene glycol according to the ratio of 1.5:1, and reacting with acetone as a solvent to obtain the water-soluble polyurethane;
(2) Taking 100 parts of water-soluble polyurethane obtained in the step (1), 20 parts of turpentine and 2 parts of polyvinyl alcohol, placing the water-soluble polyurethane, the turpentine and the 2 parts of polyvinyl alcohol into a reaction kettle, stirring and reacting for 1h at 50 ℃ to form a coating liquid, and under the action of a pressure pump, enabling the atomization pressure of the coating liquid to reach 0.3Mpa; the atomization speed is 20mL/min;
(3) 5000 parts of fertilizer particles are sent into a fluidized bed through a conveyor belt to be preheated at 60 ℃, gravity is utilized to drop to form jet flow, the coating liquid obtained in the step (2) is sprayed on the surfaces of the fertilizer particles through a spraying device, and the fertilizer particles are dried through hot air at 70 ℃ to complete primary coating; the fertilizer particles subjected to primary coating enter a circulating fluidized bed for continuous coating, and the coating is finished within 4 hours to form coated controlled release fertilizer;
(4) And (3) recycling the coating liquid steam into the reaction kettle of the step (2) through a condensation recovery device for repeated dissolution and utilization.
Example 6:
(1) Preparing water-soluble polyurethane, mixing diphenylmethane diisocyanate and polytetrahydrofuran glycol according to the ratio of 0.9:1, and reacting with acetone as a solvent to obtain the water-soluble polyurethane;
(2) Taking 100 parts of water-soluble polyurethane obtained in the step (1), 5 parts of turpentine and 0.5 part of polyvinyl alcohol, placing the water-soluble polyurethane, the turpentine and the polyvinyl alcohol in a reaction kettle, stirring and reacting for 1h at 50 ℃ to form a coating liquid, and under the action of a pressure pump, enabling the atomization pressure of the coating liquid to reach 0.1Mpa; the atomization speed is 5mL/min;
(3) 1000 parts of fertilizer particles are sent into a fluidized bed through a conveyor belt to be preheated at 60 ℃, the gravity is utilized to drop to form jet flow, the coating liquid obtained in the step (2) is sprayed on the surfaces of the fertilizer particles through a spraying device, and the fertilizer particles are dried through hot air at 80 ℃ to complete primary coating; the fertilizer particles subjected to primary coating enter a circulating fluidized bed for continuous coating, and the coating is finished within 2 hours to form coated controlled release fertilizer;
(4) And (3) recycling the coating liquid steam into the reaction kettle of the step (2) through a condensation recovery device for repeated dissolution and utilization.
Example 7:
(1) Preparing water-soluble polyurethane, namely mixing polymethylene polyphenyl diisocyanate with tetrahydrofuran-propylene oxide copolymer glycol according to the ratio of 1:1, and reacting with acetone serving as a solvent to obtain the water-soluble polyurethane; a step of
(2) Taking 100 parts of water-soluble polyurethane obtained in the step (1), 10 parts of turpentine and 1 part of polyvinyl alcohol, placing the water-soluble polyurethane, 10 parts of turpentine and 1 part of polyvinyl alcohol into a reaction kettle, stirring and reacting for 1h at 50 ℃ to form a coating liquid, and under the action of a pressure pump, enabling the atomization pressure of the coating liquid to reach 0.2Mpa; the atomization speed is 10mL/min;
(3) 3000 parts of fertilizer particles are sent into a fluidized bed through a conveyor belt to be preheated at 60 ℃, gravity is utilized to drop to form jet flow, the coating liquid obtained in the step (2) is sprayed on the surfaces of the fertilizer particles through a spraying device, and the fertilizer particles are dried through hot air at 70 ℃ to complete primary coating; the fertilizer particles subjected to primary coating enter a circulating fluidized bed for continuous coating, and the coating is finished within 3 hours to form coated controlled release fertilizer;
(4) And (3) recycling the coating liquid steam into the reaction kettle of the step (2) through a condensation recovery device for repeated dissolution and utilization.
In the application, the porosity of polyurethane can be regulated by regulating the ratio of polyisocyanate to polyol, and the dissolution rate of the coated fertilizer is controlled; the release speed is regulated by regulating the proportion of polyvinyl alcohol and polyurethane and the spraying time. The turpentine is used as a film forming auxiliary agent, so that the produced coated fertilizer has strong mechanical damage resistance and reduces the drop of the controlled release rate caused by the mechanical damage resistance.
Accordingly, it is considered that in the preparation process of the coated controlled release fertilizer, although the quality of the coating, especially the integrity of the coating, can be improved by coating a plurality of times, in the actual preparation process, the condition of incomplete coating still exists. Aiming at the technical problems, the technical conception of the application is that after the coating process, the prefabricated coated controlled release fertilizer is visually detected to judge whether the surface coating is complete, so as to improve the quality and efficiency of the coating. By the method, subjective errors of detection personnel can be avoided, so that the integrity of the coated controlled release fertilizer can be automatically detected, and the controlled release effect and stability of the coated fertilizer are ensured.
Fig. 2 is a schematic diagram of a system architecture of an intelligent preparation method of a controlled release fertilizer according to an embodiment of the present application. Fig. 3 is a flowchart showing the substeps of step 130 in the method for intelligently preparing a controlled release fertilizer according to an embodiment of the present application. As shown in fig. 2 and 3, the atomized coating liquid is sprayed on the surface of the preheated fertilizer granules to obtain a coated controlled release fertilizer, which comprises: 131, collecting a plurality of visual angle images of the coated controlled release fertilizer through a camera; 132, performing correlation analysis on the multiple visual angle images to obtain surface characteristics of the coated controlled release fertilizer; and, 133, determining whether the surface coating of the coated controlled release fertilizer is complete based on the surface characteristics of the coated controlled release fertilizer.
In the step 131, the position and the angle of the camera can fully capture the surface of the coated controlled release fertilizer, and the resolution of the camera is high enough to obtain a clear image. By acquiring images with multiple visual angles, the surface information of the coated controlled release fertilizer can be acquired more comprehensively and accurately, and the images with the multiple visual angles can provide more characteristic information, so that the subsequent correlation analysis and the determination of the surface coating integrity are facilitated.
In the step 132, the image is preprocessed, including denoising, contrast enhancement, etc., to improve accuracy of subsequent analysis, and feature information of the surface of the coated controlled release fertilizer may be extracted by using an image processing algorithm, such as edge detection, texture analysis, etc. The correlation analysis can integrate images with multiple visual angles to obtain more comprehensive and more accurate surface characteristics of the coated controlled release fertilizer. The extracted surface features can be used for subsequent film coating integrity judgment, and are beneficial to improving the judgment accuracy.
In the step 133, a machine learning algorithm, such as a classifier or a neural network, may be used to train based on known complete and incomplete sample data of the envelope to build an envelope integrity judgment model, where appropriate judgment thresholds need to be set, and the judgment is performed according to the magnitude of the feature values or the probability of the model output. The method has the advantages that the film coating integrity is judged based on the surface characteristics, the influence of artificial subjective factors can be reduced, the objectivity and the accuracy of judgment are improved, the working efficiency can be improved through automatic film coating integrity detection, the labor cost is reduced, and the quality and the stability of the film coating controlled release fertilizer are ensured.
Specifically, in the step 131, a plurality of visual angle images of the coated controlled release fertilizer are acquired by a camera. Specifically, in the technical scheme of the application, firstly, a plurality of visual angle images of the coated controlled release fertilizer acquired by a camera are acquired.
The method has the advantages that the images with multiple visual angles are collected to play an important role in determining whether the surface coating of the coated controlled release fertilizer is complete, and the surface condition of the coated controlled release fertilizer can be observed from different angles through the images with multiple visual angles, so that more comprehensive information is provided.
The images can be subjected to correlation analysis through a computer vision technology, and the characteristics of the surface of the coated controlled release fertilizer are extracted, for example, the characteristics of the color, texture, shape and the like of the coating can be detected. The integrity of the envelope can be judged by comparing the characteristic differences between different images. If the envelope is complete, then the images from different perspectives should exhibit consistent characteristics, and if the envelope is defective or incomplete, then the images from different perspectives may exhibit inconsistent characteristics, such as color changes or shape distortions, etc.
By collecting images of multiple visual angles and performing correlation analysis, the quality and efficiency of coating can be improved, subjective errors are avoided, and the controlled release effect and stability of the coated fertilizer are ensured. However, the steps of image acquisition, preprocessing, feature extraction, model training and the like all require expertise and technical support.
Specifically, in the step 132, the plurality of view images are subjected to a correlation analysis to obtain the surface characteristics of the coated controlled release fertilizer. Comprising the following steps: splicing the multiple visual angle images to obtain a coated controlled release fertilizer panoramic image; performing feature extraction on the coated controlled release fertilizer panoramic image through a multi-scale surface feature extractor of a deep neural network model to obtain a coated controlled release fertilizer surface shallow feature map, a coated controlled release fertilizer surface middle layer feature map and a coated controlled release fertilizer surface deep layer feature map; using an adaptive fusion module to fuse the superficial characteristic map of the coated controlled release fertilizer, the superficial middle layer characteristic map of the coated controlled release fertilizer and the superficial deep characteristic map of the coated controlled release fertilizer so as to obtain a multi-scale characteristic map of the surface of the coated controlled release fertilizer; and carrying out image characteristic enhancement on the multi-scale characteristic map on the surface of the coated controlled release fertilizer to obtain a multi-scale characteristic map on the surface of the channel reinforced coated controlled release fertilizer as the surface characteristic of the coated controlled release fertilizer.
And the panoramic images of the coated controlled release fertilizer are obtained by splicing the plurality of visual angle images, so that more comprehensive surface information can be provided. The shallow layer characteristic map, the middle layer characteristic map and the deep layer characteristic map of the surface of the coated controlled release fertilizer can be extracted from the panoramic image through the multi-scale surface characteristic extractor of the deep neural network model, and the characteristic maps can capture characteristic information of different layers, so that the surface of the coated controlled release fertilizer can be carefully analyzed.
To fuse these multi-scale feature maps, an adaptive fusion module may be used. The module can fuse the shallow layer, middle layer and deep layer characteristic images according to the weight and importance of the characteristic images to obtain a multi-scale characteristic image of the surface of the coated controlled release fertilizer, and the fusion can fully utilize characteristic information of different layers to improve the characteristic expression capability.
In order to enhance the image characteristics, the image characteristics of the multi-scale characteristic map of the surface of the coated controlled release fertilizer can be enhanced. This may include a series of image processing techniques such as filtering, enhancement, edge detection, etc. to highlight features and reduce noise, and the enhanced profile may better characterize the coated controlled release fertilizer surface.
Through the steps, the multi-scale characteristic map of the surface of the channel-reinforced coated controlled-release fertilizer can be obtained and used as the characteristic of the surface of the coated controlled-release fertilizer, and the characteristic can be used for subsequent coating integrity judgment, quality assessment or other analysis tasks, thereby being beneficial to improving the production efficiency and quality of the coated controlled-release fertilizer.
Then, considering that the quality characteristic information about the fertilizer coating exists in all the plurality of view images, if the integrity of the fertilizer coating is to be effectively detected, the integrity evaluation of the fertilizer coating needs to be comprehensively carried out by utilizing the association relation between the image characteristics in the plurality of view images. Therefore, in the technical scheme of the application, the multiple visual angle images are required to be spliced to obtain the coated controlled release fertilizer panoramic image, so that quality information about fertilizer coating in the multiple visual angle images is spliced, and further subsequent coating integrity detection is facilitated.
The deep neural network model is a pyramid network.
Then, feature mining of the coated controlled release fertilizer panoramic image is performed using a convolutional neural network model having excellent performance in terms of implicit feature extraction of the image, particularly considering that the surface of the coated controlled release fertilizer may have features of different scales, such as fine textures, wide range of color changes, etc., when performing integrity detection of fertilizer coating. Therefore, not only is the deep abstract hidden semantic feature focused on the panoramic image of the coated controlled release fertilizer needed, but also feature information such as color, texture and the like focused on the shallow layer and the middle layer of the coated controlled release fertilizer is needed. The pyramid network mainly solves the multi-scale problem in target detection, and can simultaneously utilize the high resolution of low-layer features and the high semantic information of high-layer features to achieve a good effect by fusing the features of different layers.
Based on the above, in the technical scheme of the application, the coated controlled release fertilizer panoramic image is passed through a pyramid network-based multi-scale surface feature extractor to obtain a coated controlled release fertilizer surface shallow layer feature map, a coated controlled release fertilizer surface middle layer feature map and a coated controlled release fertilizer surface deep layer feature map. That is, the pyramid network is used as an image feature extractor to perform coding processing on the coated controlled release fertilizer panoramic image, so that the deep abstract implicit semantic feature information about the coated controlled release fertilizer in the coated controlled release fertilizer panoramic image is extracted, and meanwhile, the feature information such as the texture and the edge of a shallow layer and the feature information such as the color and the shape of a middle layer are reserved, and further, the accuracy of detecting the surface coating integrity of the coated controlled release fertilizer is improved in the follow-up classification. It should be understood that the pyramid network mainly solves the multi-scale problem in target detection, and can independently predict on different feature layers under the condition of basically not increasing the calculation amount of the original model by simply changing network connection, thereby greatly improving the performance and the accuracy of envelope integrity detection.
A Pyramid Network (Pyramid Network) is a deep neural Network structure for image processing and computer vision tasks, whose design inspiration derives from the shape of the Pyramid, capturing multi-scale information of an image by extracting features on different scales. Pyramid networks are typically composed of multiple parallel sub-networks, each of which is responsible for extracting features on different scales, which may share parameters to reduce the number of parameters of the model and improve computational efficiency.
In the panoramic image of the coated controlled release fertilizer, the pyramid network can extract the surface features on different scales through multi-level convolution operation. Specifically, the pyramid network can construct a multi-level feature pyramid by downsampling and upsampling images at different scales. At each scale, the pyramid network can use the operations of a convolution layer, a pooling layer, an activation function and the like to extract the characteristics, and can acquire rich and multi-scale surface characteristic information through fusion and integration of characteristic graphs of a plurality of scales.
The surface shallow layer characteristic diagram, the middle layer characteristic diagram and the deep layer characteristic diagram of the coated controlled release fertilizer can be obtained through a multi-scale surface characteristic extractor based on a pyramid network, and the characteristic diagrams can be used for further analysis and judgment so as to improve the coating quality and effect of the coated controlled release fertilizer.
Notably, the design and training of pyramid networks requires a significant amount of image data and computational resources, and requires adjustment and optimization for specific tasks and data sets. Meanwhile, the pyramid network can be used in combination with other deep learning technologies and algorithms to further improve the performance of feature extraction and analysis.
Further, after the shallow layer characteristic, the middle layer characteristic and the deep layer characteristic information about the quality of the coated controlled release fertilizer in the coated controlled release fertilizer panoramic image are obtained respectively, the shallow layer characteristic image, the middle layer characteristic image and the Chinese medicine deep layer characteristic image of the quality of the coated controlled release fertilizer are required to be fused so as to preserve multi-level information in the image to detect and evaluate the integrity of the coating. In particular, in order to not excessively increase the parameter number of the model and keep the channel number unchanged, in the technical scheme of the application, an adaptive fusion module is further used for fusing the superficial characteristic map of the coated controlled release fertilizer, the middle layer characteristic map of the surface of the coated controlled release fertilizer and the deep layer characteristic map of the surface of the coated controlled release fertilizer so as to obtain a multi-scale characteristic map of the surface of the coated controlled release fertilizer. Therefore, the original channel number can be kept unchanged under the condition of not increasing excessive parameters, multi-level characteristic fusion can be carried out, multi-level information related to the coated controlled release fertilizer in the image is fully utilized, and the accuracy of detecting the integrity of the coated fertilizer is further improved.
Further, performing image feature enhancement on the surface multi-scale feature map of the coated controlled release fertilizer to obtain a channel-enhanced surface multi-scale feature map of the coated controlled release fertilizer as the surface feature of the coated controlled release fertilizer, including: and passing the multi-scale characteristic map of the surface of the coated controlled release fertilizer through a channel attention module to obtain the multi-scale characteristic map of the surface of the channel reinforced coated controlled release fertilizer.
Then, in consideration of the fact that when the integrity detection of the coated controlled release fertilizer is actually carried out, as more interference features irrelevant to the coated quality detection exist in the image, in the technical scheme of the application, the multi-scale feature map of the surface of the coated controlled release fertilizer is further processed through a channel attention module to obtain the multi-scale feature map of the surface of the channel-enhanced coated controlled release fertilizer. It should be understood that the channel attention module processes the multi-scale feature map of the surface of the coated controlled release fertilizer, so that key feature information of the surface of the coated controlled release fertilizer, such as feature information of integrity, defects and the like of the coating, can be highlighted, so that the model focuses on features useful for quality inspection tasks, and focuses on irrelevant features. That is, by such a treatment mode, the minor defects or problems of the controlled release fertilizer coating can be more easily detected, and measures can be timely taken to repair or adjust the controlled release fertilizer coating, thereby improving the accuracy of quality inspection.
Specifically, in the step 133, it is determined whether the surface coating of the coated controlled release fertilizer is complete based on the surface characteristics of the coated controlled release fertilizer. Comprising the following steps: performing characteristic distribution optimization on the channel enhanced coated controlled release fertilizer surface multi-scale characteristic map to obtain an optimized channel enhanced coated controlled release fertilizer surface multi-scale characteristic map; and the optimized channel reinforced coated controlled release fertilizer surface multi-scale feature map is passed through a classifier to obtain a classification result, wherein the classification result is used for indicating whether the surface coating of the coated controlled release fertilizer is complete or not.
Further, performing feature distribution optimization on the channel-enhanced coated controlled release fertilizer surface multi-scale feature map to obtain an optimized channel-enhanced coated controlled release fertilizer surface multi-scale feature map, including: self-tuning structural calculation compensation feature vectors based on directional partial conductance constraint of static scene expression of the multi-scale feature map of the surface of the reinforced coated controlled release fertilizer through the channel; and carrying out weighted optimization on each characteristic matrix of the channel-enhanced coated controlled release fertilizer surface multi-scale characteristic map along the channel dimension by using the compensation characteristic vector to obtain the optimized channel-enhanced coated controlled release fertilizer surface multi-scale characteristic map.
Particularly, in the technical scheme of the application, as the superficial layer characteristic map of the coated controlled release fertilizer, the middle layer characteristic map of the coated controlled release fertilizer and the deep layer characteristic map of the coated controlled release fertilizer respectively express the locally associated image semantic characteristics based on the scale of the pyramid network under different depths of the panoramic image of the coated controlled release fertilizer, after the superficial layer characteristic map of the coated controlled release fertilizer, the middle layer characteristic map of the coated controlled release fertilizer and the deep layer characteristic map of the coated controlled release fertilizer are fused by using the self-adaptive fusion module, the distribution difference caused by the characteristic representation under different depths exists among the characteristic matrixes of the multi-scale characteristic map of the surface of the coated controlled release fertilizer.
And after the multi-scale feature map on the surface of the coated controlled release fertilizer passes through the channel attention module, the channel attention module integrally weights the feature matrix of the multi-scale feature map on the surface of the coated controlled release fertilizer, so that the distribution difference among the feature matrices of the multi-scale feature map on the surface of the channel reinforced coated controlled release fertilizer is further increased under the condition that the overall feature distribution of the feature matrix at certain channel positions is enhanced, and the overall association expression of the multi-scale feature map on the surface of the channel reinforced coated controlled release fertilizer is poor.
Based on this, the applicant of the present application performs the compensation of the global feature distribution association of the channel-enhanced coated controlled release fertilizer surface multiscale feature map by weighting the respective feature matrices of the channel-enhanced coated controlled release fertilizer surface multiscale feature map along a channel, wherein the compensation feature vector is performed by self-tuning structuring of the channel-enhanced coated controlled release fertilizer surface multiscale feature map based on directional partial conductance constraints of static scene expressions, in particular: performing channel linear transformation on each characteristic matrix of the multi-scale characteristic map on the surface of the channel-enhanced coated controlled release fertilizer to convert the characteristic matrix into a square matrix so as to obtain a converted characteristic map; based on the converted characteristic diagram, the self-tuning structure of the directional partial conductance constraint based on the static scene expression of the multi-scale characteristic diagram of the surface of the channel reinforced coated controlled release fertilizer calculates the compensation characteristic vector according to the following optimization formula; wherein, the optimization formula is:
；
wherein,is the +.sup.th of the transformed feature map along the channel dimension>Characteristic matrix->Is the vector obtained by global pooling of the transformed feature map along each feature matrix of the channel dimension,/v>Is the +.sup.th of the transformed feature map along the channel dimension>First->Characteristic value of the location->、/>And->Representing addition, subtraction and multiplication by position, respectively,/->Is the compensation feature vector.
That is, when weighting each feature matrix of the channel-enhanced coated controlled release fertilizer surface multiscale feature map with the compensation feature vector, each static scene matrix along the channel dimension of the channel-enhanced coated controlled release fertilizer surface multiscale feature map may be obtained by the channelRelative to channel control vector->Supporting self-tuning of static feature scenes using directional bias vectors for expressing channel dimension associations, thereby structuring the high-dimensional feature manifold based on a specific convex polyhedron family (convex polytopes family) of the high-dimensional feature manifold set of the channel-enhanced coated controlled release fertilizer surface multi-dimensional feature map corresponding to the feature scenes expressed by the respective feature matrices to promote explicit associations between the image semantic expressions of the scenes of the respective feature matrices and the model feature extraction expressions of the channel dimensions, thereby promoting the sameGlobal characteristic distribution association of a multi-scale characteristic map of the surface of the channel reinforced coated controlled release fertilizer. Therefore, the prefabricated coated controlled release fertilizer can be automatically detected to judge whether the surface coating is complete, so that the quality and efficiency of the controlled release fertilizer coating are improved, and the controlled release effect and stability of the coated fertilizer are ensured.
And then, the multi-scale characteristic map of the surface of the channel reinforced coated controlled release fertilizer passes through a classifier to obtain a classification result, wherein the classification result is used for indicating whether the surface coating of the coated controlled release fertilizer is complete or not. That is, the quality characteristics of the coating of the controlled release fertilizer after characteristic enhancement are used for classification treatment, so that the surface coating integrity of the coated controlled release fertilizer is detected, the influence of human subjective factors on quality inspection results is reduced, and the efficiency and accuracy of detecting the integrity of the coating of the fertilizer are improved.
In summary, the intelligent preparation method 100 of the controlled release fertilizer according to the embodiment of the present application is illustrated, and after the coating process, visual inspection is performed on the prefabricated coated controlled release fertilizer to determine whether the surface coating is complete, so as to improve the quality and efficiency of the coating. By the method, subjective errors of detection personnel can be avoided, so that the integrity of the coated controlled release fertilizer can be automatically detected, and the controlled release effect and stability of the coated fertilizer are ensured.
Fig. 4 is a block diagram of an intelligent preparation system for a controlled release fertilizer according to an embodiment of the present application. As shown in fig. 4, the intelligent preparation system of the controlled release fertilizer comprises: a solution reaction module 210 for mixing the polyisocyanate and the polyol and then reacting with an acetone solvent to obtain water-soluble polyurethane; the atomization processing module 220 is configured to put the water-soluble polyurethane, turpentine and polyvinyl alcohol into a reaction kettle for stirring reaction to form a coating liquid, and perform atomization processing on the coating liquid under the action of a pressure pump to obtain an atomized coating liquid; and a spraying module 230 for spraying the atomized coating liquid on the surface of the preheated fertilizer particles to obtain the coated controlled release fertilizer.
It will be appreciated by those skilled in the art that the specific operations of the respective steps in the above-described intelligent preparation system of a controlled release fertilizer have been described in detail in the above description of the intelligent preparation method of a controlled release fertilizer with reference to fig. 1 to 3, and thus, repetitive descriptions thereof will be omitted.
As described above, the intelligent preparation system 100 of a controlled release fertilizer according to an embodiment of the present application may be implemented in various terminal devices, such as a server for intelligent preparation of a controlled release fertilizer, etc. In one example, the intelligent preparation system 100 of controlled release fertilizer according to an embodiment of the present application may be integrated into the terminal device as one software module and/or hardware module. For example, the intelligent preparation system 100 of controlled release fertilizer may be a software module in the operating system of the terminal device, or may be an application developed for the terminal device; of course, the intelligent manufacturing system 100 of the controlled release fertilizer can also be one of the numerous hardware modules of the terminal device.
Alternatively, in another example, the intelligent preparation system 100 of the controlled release fertilizer and the terminal device may be separate devices, and the intelligent preparation system 100 of the controlled release fertilizer may be connected to the terminal device through a wired and/or wireless network and transmit interactive information in a agreed data format.
Fig. 5 is an application scenario diagram of an intelligent preparation method of a controlled release fertilizer provided in an embodiment of the present application. As shown in fig. 5, in this application scenario, first, a plurality of view images of the coated controlled release fertilizer are acquired by a camera (e.g., C as illustrated in fig. 5); the acquired multiple view images are then input into a server (e.g., S as illustrated in fig. 5) deployed with an intelligent preparation algorithm for the controlled release fertilizer, wherein the server is capable of processing the multiple view images based on the intelligent preparation algorithm for the controlled release fertilizer to determine whether the surface coating of the coated controlled release fertilizer is complete.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the application, and is not meant to limit the scope of the application, but to limit the application to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (1)
1. An intelligent preparation system of a controlled release fertilizer, comprising:
the solution reaction module is used for mixing polyisocyanate and polyol and then reacting with an acetone solvent to obtain water-soluble polyurethane;
the atomization treatment module is used for placing the water-soluble polyurethane, turpentine and polyvinyl alcohol into a reaction kettle for stirring reaction to form a coating liquid, and carrying out atomization treatment on the coating liquid under the action of a pressure pump to obtain an atomized coating liquid;
the spraying module is used for spraying the atomized coating liquid on the surfaces of the preheated fertilizer particles to obtain coated controlled-release fertilizer;
wherein, the spraying module includes:
collecting a plurality of visual angle images of the coated controlled release fertilizer through a camera;
performing correlation analysis on the multiple visual angle images to obtain surface characteristics of the coated controlled release fertilizer;
and determining whether the surface coating of the coated controlled release fertilizer is complete based on the surface characteristics of the coated controlled release fertilizer;
wherein, carry on the correlation analysis to the said multiple visual angle picture in order to obtain the surface characteristic of the coated controlled release fertilizer, including:
splicing the multiple visual angle images to obtain a coated controlled release fertilizer panoramic image;
performing feature extraction on the coated controlled release fertilizer panoramic image through a multi-scale surface feature extractor of a deep neural network model to obtain a coated controlled release fertilizer surface shallow feature map, a coated controlled release fertilizer surface middle layer feature map and a coated controlled release fertilizer surface deep layer feature map;
using an adaptive fusion module to fuse the superficial characteristic map of the coated controlled release fertilizer, the superficial middle layer characteristic map of the coated controlled release fertilizer and the superficial deep characteristic map of the coated controlled release fertilizer so as to obtain a multi-scale characteristic map of the surface of the coated controlled release fertilizer;
image characteristic enhancement is carried out on the multi-scale characteristic map on the surface of the coated controlled release fertilizer to obtain a multi-scale characteristic map on the surface of the channel reinforced coated controlled release fertilizer, and the multi-scale characteristic map is used as the surface characteristic of the coated controlled release fertilizer;
based on the surface characteristics of the coated controlled release fertilizer, determining whether the surface coating of the coated controlled release fertilizer is complete comprises the following steps:
performing characteristic distribution optimization on the channel enhanced coated controlled release fertilizer surface multi-scale characteristic map to obtain an optimized channel enhanced coated controlled release fertilizer surface multi-scale characteristic map;
the optimized channel reinforced coated controlled release fertilizer surface multi-scale feature map is passed through a classifier to obtain a classification result, wherein the classification result is used for indicating whether the surface coating of the coated controlled release fertilizer is complete or not;
the method for optimizing the characteristic distribution of the channel-enhanced coated controlled release fertilizer surface multi-scale characteristic map to obtain the optimized channel-enhanced coated controlled release fertilizer surface multi-scale characteristic map comprises the following steps:
self-tuning structural calculation compensation feature vectors based on directional partial conductance constraint of static scene expression of the multi-scale feature map of the surface of the reinforced coated controlled release fertilizer through the channel;
and carrying out weighted optimization on each characteristic matrix of the channel-enhanced coated controlled release fertilizer surface multi-scale characteristic map along the channel dimension by using the compensation characteristic vector to obtain the optimized channel-enhanced coated controlled release fertilizer surface multi-scale characteristic map;
the self-tuning structured calculation compensation feature vector based on the directional partial conductance constraint of the static scene expression of the channel reinforced coated controlled release fertilizer surface multi-scale feature map comprises the following components:
performing channel linear transformation on each characteristic matrix of the multi-scale characteristic map on the surface of the channel-enhanced coated controlled release fertilizer to convert the characteristic matrix into a square matrix so as to obtain a converted characteristic map;
based on the converted characteristic diagram, the self-tuning structure of the directional partial conductance constraint based on the static scene expression of the multi-scale characteristic diagram of the surface of the channel reinforced coated controlled release fertilizer calculates the compensation characteristic vector according to the following optimization formula;
wherein, the optimization formula is:
；
wherein,is the +.sup.th of the transformed feature map along the channel dimension>Characteristic matrix->Is the vector obtained by global pooling of the transformed feature map along each feature matrix of the channel dimension,/v>Is the +.sup.th of the transformed feature map along the channel dimension>First->Characteristic value of the location->、/>And->Representing addition, subtraction and multiplication by position, respectively,/->Is the compensation feature vector.
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