Intelligent control method and system for automatic production of feed

Abstract

The invention relates to the technical field of production intelligent control, and discloses a feed automatic production intelligent control method and system, and the method comprises the steps: collecting image data information before feed raw materials are received and humidity data information SD of the feed raw materials, carrying out the graying processing of the image data information, generating a gray value HD, calculating a first judgment value P1 through employing the gray value HD, and carrying out the calculation of a second judgment value P1; when the first judgment value P1 is 1, the raw material receiving work is normally carried out, when the judgment value is 0 or-1, the raw material receiving work is paused, a second judgment value P2 is calculated through humidity data information SD, when the second judgment value P2 is 1, the raw material receiving work is normally carried out, and when the second judgment value P2 is 0 or-1, the raw material is dried again. And the conditions in the raw materials can be judged, when unqualified raw materials appear, the unqualified raw materials can be found in time, and the raw materials with high humidity are dried, so that the raw materials are prevented from being rotten.

Description

Technical Field

[0001] The present invention relates to the technical field of production intelligent control, and more particularly to an intelligent control method and system for automated feed production. Background Art

[0002] Feed is the general term for the food of all animals raised. More narrowly, generally, feed mainly refers to the food of animals raised in agriculture or animal husbandry. Feed includes more than a dozen varieties of feed raw materials such as soybeans, soybean meal, corn, fish meal, amino acids, miscellaneous meal, whey powder, oils and fats, meat and bone meal, grains, feed additives, etc. Generally, only plant feed is called feed, and these feeds include grass, various grains, tubers, roots, etc.;

[0003] The automated production process of the feed production line has gradually replaced the traditional manual production method, bringing more efficient and accurate production effects to the feed industry. In the automated production process of the feed production line, raw material receiving and storage is the first key link. Automated equipment can quickly and accurately sort, measure, and store raw materials to ensure the safe and stable supply of raw materials. Raw material processing and mixing is the core link of the feed production line. Automated equipment can adopt different processing methods according to different raw material characteristics. In the feed processing link, automated equipment can achieve precise operations such as splitting, crushing, mixing, and pressing of raw materials, and finally conduct finished product grading and packaging of the feed to complete feed production;

[0004] When the current feed is being produced, first, it cannot timely detect various non-conforming raw material particles in the feed raw materials during the receiving work, and it cannot control the humidity in the raw material particles. Secondly, during the crushing of the raw material particles, the current crushing work cannot be intelligently adjusted according to the situation of the raw materials themselves. Finally, it cannot accurately control the proportion of different raw materials in the feed raw materials. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide an intelligent control method and system for automated feed production to solve the technical problems proposed in the background art.

[0006] To achieve the above object, the present invention provides the following technical solution: An intelligent control method for automated feed production, including the following steps:

[0007] Step S1, collect the image data information before the receipt of feed raw materials and the humidity data information SD of the feed raw materials, and perform grayscale processing on the image data information to generate a grayscale value HD;

[0008] Step S2: Calculate the first determination value P1 using the grayscale value HD. When the first determination value P1 is 1, the raw material receiving work is carried out normally. When the determination value is 0 or -1, the raw material receiving work is suspended;

[0009] Step S3: Calculate the second determination value P2 using the humidity data information SD. When the second determination value P2 is 1, the raw material receiving work is carried out normally. When the second determination value P2 is 0 or -1, the raw material is dried again until the calculated second determination value P2 is 1;

[0010] Step S4: Coarsely crush the feed raw materials with the maximum power. After coarse crushing, fine crushing is carried out. During fine crushing, collect the granularity data information KL, dustiness data information HC, and temperature-time information WD during fine crushing of the feed and calculate the crushing value FS;

[0011] Step S5: When the crushing value FS < the first crushing threshold FY1, increase the output power during fine crushing. When the first crushing threshold FY1 ≤ crushing value FS ≤ the second crushing threshold FY2, maintain the original power. When the crushing value FS > the second crushing threshold FY2, reduce the output power;

[0012] Step S6: Mix the crushed feed raw materials in proportion, pelletize the mixed raw materials, and package and store the pelletized feed.

[0013] An intelligent control system for automatic feed production, including a raw material receiving unit, a raw material crushing unit, a batching unit, a pelletizing unit, a packaging unit, a collection unit, a processing unit, and a central unit. The raw material receiving unit is used for the receiving work of feed raw materials. The raw material crushing unit crushes the received feed to a preset particle size. The batching unit mixes the crushed raw materials in proportion. The pelletizing unit pelletizes the batched raw materials. The packaging unit packages and stores the pelletized feed. The collection unit collects data during feed processing and production. The processing unit processes the collected data. The central unit receives the processed data and controls all production units;

[0014] The collection unit collects the image data information before receiving the feed raw materials and the humidity data information SD of the feed raw materials. And the collection unit sends the collected image data information to the processing unit. The processing unit receives the image data information and performs grayscale processing to generate the grayscale value HD. The central unit receives the grayscale value HD and calculates the first determination value P1. The calculation formula of the first determination value P1 is , where sgn is the rounding function, BZ1 is the standard grayscale value of the feed raw materials, and CE1 is the allowable deviation value of the grayscale value.

[0015] In a preferred embodiment, the calculation formula for the gray value within the processing unit is , where HD is the calculated grayscale value, R is the red pixel in the image, G is the green pixel in the image, and B is the blue pixel in the image. The processing unit sends the calculated gray value HD to the central unit. When the first determination value P1 calculated by the central unit is 1, the central unit controls the raw material receiving unit to normally carry out the raw material receiving work. When the first determination value P1 calculated by the central unit is 0 or -1, the central unit sends a non-conforming instruction to the raw material receiving unit, and the raw material receiving unit receives the non-conforming instruction and suspends the raw material receiving work.

[0016] In a preferred embodiment, the acquisition unit sends the collected feed raw material humidity data information SD to the central unit. The central unit receives the humidity data information SD and calculates the second determination value P2. The calculation formula for the second determination value P2 is , where BZ2 is the standard humidity value of the feed raw material, and CE2 is the allowable deviation value of the humidity value. When the second determination value P2 calculated by the central unit is 1, the central unit controls the raw material receiving unit to normally carry out the raw material receiving work. When the second determination value P2 calculated by the central unit is 0 or -1, the central unit sends a drying instruction to the raw material receiving unit, and the raw material receiving unit receives the drying instruction and dries the raw material again until the calculated second determination value P2 is 1.

[0017] In a preferred embodiment, the raw material crushing unit includes a coarse crushing module and a fine crushing module. The coarse crushing module performs the primary crushing of the feed raw material. When the coarse crushing module is working, it directly uses the maximum power for coarse crushing processing. After the feed raw material is coarsely crushed, the raw material that passes through the coarse crushing filter screen is sent to the fine crushing module, and the raw material that does not pass through the coarse crushing filter screen after being coarsely crushed needs to be coarsely crushed again.

[0018] In a preferred embodiment, when the feed raw material is finely crushed in the fine crushing module, the acquisition unit acquires the particle size data information KL, the dustiness data information HC, and the temperature-time information WD during fine crushing of the feed. The acquisition unit sends all the acquired data to the central unit. The central unit receives the data acquired by the acquisition unit and calculates the crushing value FS. The calculation formula for the crushing value FS is , where k1 and k2 are both weights, and 0 ≤ k1 ≤ 1, 0 ≤ k2 ≤ 1.

[0019] In a preferred embodiment, the central unit compares the calculated crushing value FS with a first crushing threshold FY1 and a second crushing threshold FY2 inside it, and the first crushing threshold FY1 < the second crushing threshold FY2. When the crushing value FS < the first crushing threshold FY1, the central unit controls the fine crushing module to increase the output power during fine crushing. When the first crushing threshold FY1 ≤ the crushing value FS ≤ the second crushing threshold FY2, the central unit controls the fine crushing module to maintain the original output power. When the crushing value FS > the second crushing threshold FY2, the central unit controls the fine crushing module to reduce the output power.

[0020] In a preferred embodiment, the batching unit includes a proportioning module and a mixing module. When the proportioning module receives the crushed raw materials, the acquisition unit acquires the proportion of each raw material inside the batching unit, and the acquisition unit sends the acquired proportion of the raw materials to the central unit. The central unit detects the difference between the proportion of each raw material and the standard proportion. When the central unit detects that there is a difference between the proportion of a certain raw material and the standard proportion, the central unit extracts the difference time when the difference exists for this raw material and the value of the difference in the proportion of the raw material.

[0021] In a preferred embodiment, the central unit control unit controls the proportion of each raw material in the proportioning module, and makes up the difference for the raw material with the difference. If the proportion of the raw material is lower than the standard proportion of the raw material, the difference is added. If the proportion of the raw material is higher than the standard proportion of the raw material, the difference is subtracted. And the central unit controls the difference making-up time of the proportioning module to be the difference time. The mixing module mixes the raw materials proportioned in the proportioning module.

[0022] Technical effects and advantages of the present invention:

[0023] 1. By collecting the image data information before the raw materials are received and calculating the first determination value P1, the present invention can judge the situation inside the raw materials at this time. When unqualified raw materials appear, they can be discovered in time, and the raw materials with higher humidity can be dried to avoid the raw materials from rotting. The raw materials are crushed in two steps: coarse crushing and fine crushing, so as to ensure that the particles after the raw materials are crushed are relatively uniform, and the crushed feed raw materials are proportioned and mixed according to the ratio.

[0024] 2. When the present invention performs fine crushing, it collects the granularity data information KL, dustiness data information HC, and temperature-time information WD during the fine crushing of the feed. The calculated crushing value FS can accurately express the crushing situation of the feed raw materials. When the crushing value FS is larger, the particles of the feed raw materials after crushing are smaller. Therefore, when the crushing value FS < the first crushing threshold FY1, the particles are larger at this time and the power needs to be increased. When the crushing value FS > the second crushing threshold FY2, the particles are too small and the particles need to be reduced, maintaining dynamic adjustment of the power to make the crushed particles more uniform.

[0025] 3. When the present invention performs proportioning, it makes each raw material itself in a dynamic adjustment state during feeding. Finally, after mixing, the proportion between each raw material meets the expected proportion, thereby ensuring the quality of the feed. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic flow chart of an intelligent control method for automatic production of the present invention.

[0027] Figure 2 It is a schematic structural diagram of an intelligent control system for automatic production of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0028] The following will clearly and completely describe the technical solutions in the present invention with reference to the accompanying drawings in the present invention. In addition, the forms of each structure described in the following embodiments are only examples. An intelligent control method and system for automatic production of feed related to the present invention are not limited to the structures described in the following embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0029] Referring to Figure 1 , the present invention provides an intelligent control method for automatic production of feed, including the following steps:

[0030] Step S1: Collect the image data information before receiving the feed raw materials and the humidity data information SD of the feed raw materials, and perform gray-scale processing on the image data information to generate a gray-scale value HD;

[0031] Step S2: Calculate the first determination value P1 using the gray-scale value HD. When the first determination value P1 is 1, the raw material receiving work is carried out normally. When the determination value is 0 or -1, the raw material receiving work is suspended;

[0032] Step S3: Calculate the second determination value P2 using the humidity data information SD. When the second determination value P2 is 1, the raw material receiving work is carried out normally. When the second determination value P2 is 0 or -1, the raw material is dried again until the calculated second determination value P2 is 1;

[0033] Step S4: Coarsely crush the feed raw materials at the maximum power. After coarse crushing, perform fine crushing. When performing fine crushing, collect the particle size data information KL, dustiness data information HC, and temperature-time information WD during fine crushing of the feed, and calculate the crushing value FS.

[0034] Step S5: When the crushing value FS < the first crushing threshold FY1, increase the output power during fine crushing. When the first crushing threshold FY1 ≤ crushing value FS ≤ the second crushing threshold FY2, maintain the original power. When the crushing value FS > the second crushing threshold FY2, reduce the output power.

[0035] Step S6: Mix the crushed feed raw materials according to a ratio. The mixed raw materials are pelletized, and the pelletized feed is packaged and stored.

[0036] In the embodiment of the present application, when the present application performs automated production of raw materials, first collect the image data information before receiving the raw materials, and perform grayscale processing to calculate the first determination value P1. At this time, the situation inside the raw materials can be judged. When unqualified raw materials appear, they can be discovered in time, and the raw materials with higher humidity are dried to avoid rotting of the raw materials. The raw materials are crushed in two steps of coarse crushing and fine crushing, thereby ensuring that the particles after raw material crushing are relatively uniform. The crushed feed raw materials are mixed according to a ratio to ensure the quality of the final feed.

[0037] Refer to Figure 2 , an intelligent control system for automated feed production, including a raw material receiving unit, a raw material crushing unit, a batching unit, a pelletizing unit, a packaging unit, a collection unit, a processing unit, and a central unit. The raw material receiving unit is used for receiving feed raw materials. The raw material crushing unit crushes the received feed to a preset particle size. The batching unit mixes the crushed raw materials according to a ratio. The pelletizing unit pelletizes the batched raw materials. The packaging unit packages and stores the pelletized feed. The collection unit collects data during feed processing and production. The processing unit processes the collected data. The central unit receives the processed data and controls all production units.

[0038] Refer to Figure 2 , the collection unit collects the image data information before receiving the feed raw materials and the humidity data information SD of the feed raw materials, and the collection unit sends the collected image data information to the processing unit. The processing unit receives the image data information and performs grayscale processing to generate a grayscale value HD. The central unit receives the grayscale value HD and calculates the first determination value P1. The calculation formula for the first determination value P1 is , where sgn is the rounding function, BZ1 is the standard grayscale value of the feed raw material, CE1 is the allowable deviation value of the grayscale value, and the calculation formula for the grayscale value in the processing unit is , where HD is the calculated grayscale value, R is the red pixel in the image, G is the green pixel in the image, and B is the blue pixel in the image. The processing unit sends the calculated grayscale value HD to the central unit. When the first determination value P1 calculated by the central unit is 1, the central unit controls the raw material receiving unit to normally carry out the raw material receiving work. When the first determination value P1 calculated by the central unit is 0 or -1, the central unit sends a non-conforming instruction to the raw material receiving unit, and the raw material receiving unit receives the non-conforming instruction and suspends the raw material receiving work.

[0039] In the embodiment of the present application, first, the image data information during the reception of the feed raw material is grayscale processed. After grayscale processing, the data for image processing is improved. After grayscale processing, the raw material image can be represented in a numerical manner. At this time, when using the first determination value P1 for determination, sgn is the rounding function. Therefore, when its input is a positive number, it outputs 1, when the input is 0, it outputs 0, and when the input is a negative number, it outputs a negative number. At this time, the grayscale value used to generate the grayscale value HD is subtracted from the standard grayscale value and then compared with the standard grayscale value. For example, the grayscale value of corn feed is generally between 128 and 255. At this time, the standard grayscale value of corn can be set to an integer of 192 first, and the allowable deviation value CE1 is the maximum value obtained by subtracting the absolute value of the standard grayscale value from the upper and lower limits of the grayscale value and then comparing with the grayscale value and adding 5%. The calculation formula for the allowable deviation value CE1 of corn feed is: , when the calculated allowable deviation value CE1 is 40% and the calculated first determination value P1 is 1, then the absolute value of the ratio between the grayscale value used to generate the grayscale value HD minus the standard grayscale value and the standard grayscale value is less than the allowable deviation value CE1. At this time, the corn feed raw material is okay. When it is greater than the allowable deviation value CE1, it means there is a problem with the corn raw material. A non-conforming instruction is sent, the raw material reception is suspended, and the raw material is detected to avoid mixing non-conforming raw materials into the feed. The present application is faster and more accurate during raw material detection, ensuring that the raw materials used for feed production are all qualified raw materials.

[0040] Refer to Figure 2 , the acquisition unit sends the collected humidity data information SD of the feed raw material to the central unit. The central unit receives the humidity data information SD and calculates the second determination value P2. The calculation formula for the second determination value P2 is , where BZ2 is the standard humidity value of the feed raw material, CE2 is the allowable deviation value of the humidity value. When the second determination value P2 calculated by the central unit is 1, the central unit controls the raw material receiving unit to normally carry out the raw material receiving work. When the second determination value P2 calculated by the central unit is 0 or -1, the central unit sends a drying instruction to the raw material receiving unit, and the raw material receiving unit receives the drying instruction and dries the raw material again until the calculated second determination value P2 is 1.

[0041] In the embodiment of the present application, when detecting the humidity of the feed raw material, if the humidity of the feed raw material is too high and the feed raw material is received at this time, it is easy for the feed to rot subsequently. Therefore, the second determination value P2 is calculated in the present application. When the second determination value P2 is 1, it means that the humidity at this time meets the requirements, and normal feed production work can be carried out. The calculation method of the allowable deviation value CE2 of the humidity value is the same as the principle of the allowable deviation value CE1, and is calculated by using the humidity data information SD of the feed raw material and BZ2 as the standard humidity value of the feed raw material.

[0042] Refer to Figure 2 , the raw material crushing unit includes a coarse crushing module and a fine crushing module. The coarse crushing module conducts the primary crushing of the feed raw material. When the coarse crushing module is working, it directly uses the maximum power for coarse crushing processing. After the feed raw material is coarsely crushed, the raw material passing through the coarse crushing filter screen is sent to the fine crushing module, and the raw material that has not passed through the coarse crushing filter screen after being coarsely crushed needs to be coarsely crushed again.

[0043] In the embodiment of the present application, the raw material is crushed in two steps: fine crushing and coarse crushing. The purpose of coarse crushing is to quickly reduce the diameter of the raw material particles. Therefore, the maximum power is used for coarse crushing processing to ensure the processing speed. After coarse crushing, the raw material that has not passed through the coarse crushing filter screen is coarsely crushed again to prevent the large size of the coarsely crushed particles from reducing the working efficiency of fine crushing.

[0044] Refer to Figure 2 , when the feed raw material is finely crushed in the fine crushing module, the acquisition unit acquires the particle size data information KL, dustiness data information HC, and temperature-time information WD during fine crushing of the feed. The acquisition unit sends all the acquired data to the central unit. The central unit receives the data acquired by the acquisition unit and calculates the crushing value FS. The calculation formula of the crushing value FS is , where both k1 and k2 are weights, and 0 ≤ k1 ≤ 1, 0 ≤ k2 ≤ 1. The central unit compares the calculated crushing value FS with the first crushing threshold FY1 and the second crushing threshold FY2 inside it, and the first crushing threshold FY1 < the second crushing threshold FY2. When the crushing value FS < the first crushing threshold FY1, the central unit controls the fine crushing module to increase the output power during fine crushing. When the first crushing threshold FY1 ≤ the crushing value FS ≤ the second crushing threshold FY2, the central unit controls the fine crushing module to maintain the original output power. When the crushing value FS > the second crushing threshold FY2, the central unit controls the fine crushing module to reduce the output power.

[0045] In the embodiment of the present application, during fine crushing, the granularity data information KL, the dustiness data information HC, and the temperature-time information WD during fine crushing of the feed are collected. The greater the dustiness during fine crushing, the smaller the particles crushed at this time, and the higher the temperature, the higher the power during crushing, and the smaller the granularity, the smaller the diameter of the particles after crushing. Therefore, the calculated crushing value FS of the present application can accurately express the crushing situation of the feed raw materials. When the crushing value FS is larger, the particles of the feed raw materials after crushing are smaller. Therefore, when the crushing value FS < the first crushing threshold FY1, the particles are larger at this time and the power needs to be increased. When the crushing value FS > the second crushing threshold FY2, the particles are too small and the power needs to be reduced to maintain dynamic adjustment of the power, making the particles after crushing more uniform.

[0046] Refer to Figure 2 , the batching unit includes a proportioning module and a mixing module. When the proportioning module receives the crushed raw materials, the acquisition unit acquires the proportion of each raw material in the batching unit, and the acquisition unit sends the acquired raw material proportion to the central unit. The central unit detects the difference between the proportion of each raw material and the standard proportion. When the central unit detects that there is a difference between the proportion of a certain raw material and the standard proportion, the central unit extracts the difference time of the raw material with the difference and the value of the raw material proportion difference. The control unit of the central unit controls the proportion of each raw material in the proportioning module to supplement the difference for the raw material with the difference. If the raw material proportion is lower than the standard raw material proportion, the difference is added, and if the raw material proportion is higher than the standard raw material proportion, the difference is subtracted. And the central unit controls the difference supplement time of the proportioning module to be the difference time. The mixing module mixes the raw materials proportioned in the proportioning module.

[0047] In the embodiments of the present application, the proportions of various raw materials in the acquisition and proportioning module are collected. When the proportion of a certain raw material becomes less, for example, there are three raw materials in total, the proportion of the first raw material is 5%, the proportion of the second raw material is 80%, and the proportion of the third raw material is 15%. At this time, it is detected that the proportion of the first raw material is 7%, the proportion of the second raw material is 79%, and the proportion of the third raw material is 14%, and feeding is carried out according to this proportion for five minutes. At this time, the proportion of the first raw material is adjusted to 3%, the proportion of the second raw material is adjusted to 81%, and the proportion of the third raw material is adjusted to 16%. After feeding for another five minutes, the feeding is continued in the way that the proportion of the first raw material is 5%, the proportion of the second raw material is 80%, and the proportion of the third raw material is 15%, so that the proportions of the various raw materials are in a dynamic adjustment state during feeding. Finally, after mixing, the proportions between the various raw materials meet the expected proportions, thereby ensuring the quality of the feed.

[0048] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The units and algorithm steps described in the embodiments can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0049] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0050] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present application, and all should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0051] Finally: The above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent control method for automated feed production, characterized in that: The following steps are involved: Step S1, collecting image data information before receiving the feed raw material and humidity data information SD of the feed raw material, graying the image data information to generate a gray value HD; Step S2, using the gray value HD to calculate a first judgment value P1, when the first judgment value P1 is 1, the raw material receiving work is carried out normally, and when the judgment value is 0 or -1, the raw material receiving work is suspended; Step S3, using the humidity data information SD to calculate a second determination value P2, when the second determination value P2 is 1, the raw material receiving work is carried out normally, when the second determination value P2 is 0 or -1, the raw material is dried again until the calculated second determination value P2 is 1; Step S4, using maximum power to perform coarse crushing of the feed raw materials, and then performing fine crushing after the coarse crushing. During the fine crushing, the particle size data information KL, dust content data information HC, and temperature and time information WD of the feed during fine crushing are collected, and the crushing value FS is calculated; Step S5, when the crushing value FS is less than the first crushing threshold FY1, the output power during fine crushing is increased; when the first crushing threshold FY1 ≤ crushing value FS ≤ second crushing threshold FY2, the original power is maintained; when the crushing value FS is greater than the second crushing threshold FY2, the output power is reduced; Step S6: Mix the crushed feed raw materials according to the proportion, granulate the mixed raw materials, and package and store the granulated feed.

2. An intelligent control system for automated feed production, using the intelligent control method for automated feed production as claimed in claim 1, characterized in that: It includes a raw material receiving unit, a raw material crushing unit, a batching unit, a granulating unit, a packaging unit, a collection unit, a processing unit and a central unit. The raw material receiving unit is used for receiving feed raw materials. The raw material crushing unit crushes the received feed into a preset particle size. The batching unit mixes the crushed raw materials according to a proportion. The granulating unit granulates the batched raw materials. The packaging unit packages and stores the granulated feed. The collection unit collects data during feed processing and production. The processing unit processes the collected data. The central unit receives the processed data and controls all production units. The acquisition unit acquires image data information before receiving the feed raw material and humidity data information SD of the feed raw material, and the acquisition unit sends the acquired image data information to the processing unit, the processing unit receives the image data information and performs grayscale processing to generate a grayscale value HD, the central unit receives the grayscale value HD and calculates a first judgment value P1, and the calculation formula of the first judgment value P1 is , where sgn is the rounding function, BZ1 is the standard gray value of the feed raw material, and CE1 is the allowable deviation of the gray value.

3. The feed automated production intelligent control system according to claim 2, characterized in that: The calculation formula of the gray value in the processing unit is: , where HD is the calculated grayscale value, R is the red pixel in the image, G is the green pixel in the image, and B is the blue pixel in the image. The processing unit sends the calculated grayscale value HD to the central unit. When the first judgment value P1 calculated by the central unit is 1, the central unit controls the raw material receiving unit to perform the raw material receiving work normally. When the first judgment value P1 calculated by the central unit is 0 or -1, the central unit sends an unqualified instruction to the raw material receiving unit, and the raw material receiving unit receives the unqualified instruction and suspends the raw material receiving work.

4. The feed automated production intelligent control system according to claim 2, characterized in that: The collecting unit sends the collected feed material humidity data information SD to the central unit, and the central unit receives the humidity data information SD and calculates the second judgment value P2. The calculation formula of the second judgment value P2 is: , where BZ2 is the standard humidity value of the feed raw material, CE2 is the allowable deviation value of the humidity value, when the second judgment value P2 calculated by the central unit is 1, the central unit controls the raw material receiving unit to perform the raw material receiving work normally, when the second judgment value P2 calculated by the central unit is 0 or -1, the central unit sends a drying instruction to the raw material receiving unit, and the raw material receiving unit receives the drying instruction and dries the raw material again until the calculated second judgment value P2 is 1.

5. The feed automated production intelligent control system according to claim 2, characterized in that: The raw material crushing unit includes a coarse crushing module and a fine crushing module. The coarse crushing module performs the initial crushing of the feed raw materials. When the coarse crushing module is working, it directly uses the maximum power for coarse crushing processing. The raw materials of the feed that have passed through the coarse crushing filter after coarse crushing are sent to the fine crushing module, and the raw materials of the feed that have not passed through the coarse crushing filter after coarse crushing need to be coarsely crushed again.

6. The feed automated production intelligent control system according to claim 5, characterized in that: When the feed raw material is finely ground in the fine grinding module, the collection unit collects the particle size data information KL, the dustiness data information HC and the temperature time information WD during the fine grinding of the feed, and the collection unit sends the collected data to the central unit, and the central unit receives the data collected by the collection unit and calculates the crushing value FS. The calculation formula of the crushing value FS is: , where k1 and k2 are weights, and 0≤k1≤1, 0≤k2≤1.

7. The feed automated production intelligent control system according to claim 6, characterized in that: The central unit compares the calculated crushing value FS with the first crushing threshold FY1 and the second crushing threshold FY2 therein, and the first crushing threshold FY1 < the second crushing threshold FY2. When the crushing value FS < the first crushing threshold FY1, the central unit controls the fine crushing module to increase the output power during fine crushing. When the first crushing threshold FY1 ≤ crushing value FS ≤ the second crushing threshold FY2, the central unit controls the fine crushing module to maintain the original output power. When the crushing value FS > the second crushing threshold FY2, the central unit controls the fine crushing module to reduce the output power.

8. The feed automated production intelligent control system according to claim 2, characterized in that: The batching unit includes a proportioning module and a mixing module. When the proportioning module receives the crushed raw materials, the collecting unit collects the proportion of each raw material in the batching unit, and the collecting unit sends the collected raw material proportions to the central unit. The central unit detects the difference between the proportion of each raw material and the standard proportion. When the central unit detects that there is a difference between the proportion of a certain raw material and the standard proportion, the central unit extracts the difference time of the difference in the raw material and the value of the difference in the raw material proportion.

9. The feed automated production intelligent control system according to claim 2, characterized in that: The central unit control unit controls the proportion of each raw material in the proportioning module, and supplements the raw materials with differences. If the raw material proportion is lower than the standard raw material proportion, the difference is added, and if the raw material proportion is higher than the standard raw material proportion, the difference is subtracted. The difference supplement time of the central unit controlling the proportioning module is the difference time, and the mixing module mixes the raw materials after proportioning in the proportioning module.

Images