Production management control method and system based on walnut milk powder

Abstract

The invention discloses a production management control method and system based on walnut milk powder, and the method comprises the steps: S1, screening and rejecting mildewed and worm-eaten walnuts to obtain third screened qualified walnuts, and shelling each of the third screened qualified walnuts to obtain a first type of effective walnut kernels; s2, detecting the fresh fullness degree of the first type of effective walnut kernels, analyzing the effective utilization rate of the walnut kernels, and screening the first type of effective walnut kernels based on the effective utilization rate of the walnut kernels to obtain second type of effective walnut kernels; s3, relevant parameters of the second type of effective walnut kernels are detected to obtain walnut kernel parameter information, the second type of effective walnut kernels are divided into skin-free walnut kernels, half-skin walnut kernels and full-skin walnut kernels, and the peeling baking time and the peeling baking temperature when the half-skin walnut kernels and the full-skin walnut kernels are peeled are judged; and peeling the half-skin walnut kernels and the full-skin walnut kernels based on the peeling baking time and the peeling baking temperature. The method has the effect of improving the production management efficiency of the walnut milk powder.

Description

Technical Field

[0001] The present application relates to the technical field of walnut milk powder production, and in particular to a production management and control method and system based on walnut milk powder. Background Art

[0002] Walnut milk powder is a solid beverage made from walnut kernels, white sugar, and whole milk powder through a series of processes, including soaking, grinding, pulp-residue separation, fishy smell removal, blending, homogenization, concentration and sterilization, and spray drying. It boasts a smooth and delicate taste, rich aroma, and is nutritious. Moderate consumption offers numerous health benefits, including nourishing the body, enhancing brain function, combating aging, and enhancing complexion and hair. However, the complex production process of walnut milk powder makes it crucial to maintain effective production management.

[0003] In the existing production management and control method of walnut milk powder, for raw material processing, impurities in walnut kernels are removed by manual or mechanical sorting methods, and then the walnut kernels are peeled and de-astringent by chemical soaking or high-temperature baking, and then the raw materials are stored. However, in the existing production management and control method of walnut milk powder, the machine or manual sorting and identification accuracy is insufficient, the chemical soaking in the peeling and de-astringent process is prone to residual chemical reagents affecting product safety, high-temperature baking may destroy nutritional components, and the walnut kernels are easily oxidized and deteriorated during the storage of raw materials, resulting in unstable raw material quality after raw material processing in the production management and control method of walnut milk powder, that is, low raw material processing efficiency, which in turn leads to low production management efficiency of walnut milk powder, and there is room for improvement. Summary of the Invention

[0004] In order to improve the production management efficiency of walnut milk powder, the present application provides a production management control method and system based on walnut milk powder.

[0005] In the first aspect, the present application provides a production management and control method based on walnut milk powder, which adopts the following technical solutions:

[0006] A production management and control method based on walnut milk powder comprises the following steps:

[0007] S1, screening and removing walnuts that are moldy or worm-eaten to obtain third-screen qualified walnuts, and shelling each of the third-screened qualified walnuts to obtain first-class valid walnut kernels;

[0008] S2, detecting the freshness and fullness of the first type of effective walnut kernels and analyzing the effective utilization rate of the walnut kernels, and screening the first type of effective walnut kernels to obtain the second type of effective walnut kernels based on the effective utilization rate of the walnut kernels;

[0009] S3, detecting relevant parameters of the second category of valid walnut kernels to obtain walnut kernel parameter information, dividing the second category of valid walnut kernels into skinless walnut kernels, half-skin walnut kernels, and whole-skin walnut kernels according to the walnut kernel parameter information, determining the peeling and baking time and peeling and baking temperature of the half-skin walnut kernels and the whole-skin walnut kernels when peeling based on the walnut kernel parameter information, peeling the half-skin walnut kernels and the whole-skin walnut kernels based on the peeling and baking time and the peeling and baking temperature to obtain peeled walnut kernel raw materials, and outputting a peeling completion result after the peeling is completed;

[0010] S4, storing the peeled walnut kernel raw material and monitoring the storage environment of the peeled walnut kernel raw material in real time, judging whether the storage environment of the peeled walnut kernel raw material needs to be regulated, and if necessary, performing real-time regulation.

[0011] Preferably, the walnuts are immersed in salt water, and the walnuts floating on the surface of the salt water with serious mildew or serious insect damage are screened and removed to obtain the first screening qualified walnuts;

[0012] Using near-infrared spectroscopy technology, the metabolites produced by mold in each walnut among the qualified walnuts in the first screening are identified, and then the moldy walnuts are identified and screened out to obtain the qualified walnuts in the second screening;

[0013] Using X-ray imaging technology, each walnut among the second-screened qualified walnuts is photographed to obtain an X-ray image, and based on the X-ray image, the internal insect infestation of each walnut among the second-screened qualified walnuts is identified and the walnuts are screened and removed to obtain the third-screened qualified walnuts;

[0014] Each walnut among the qualified walnuts screened in the third step is shelled to obtain the first type of effective walnut kernels.

[0015] Preferably, the fullness of the first type of effective walnut kernels is detected to obtain the walnut kernel fullness;

[0016] Detecting the freshness of the first type of effective walnut kernels to obtain the walnut kernel freshness;

[0017] Determining the effective utilization rate of each walnut kernel in the first category of effective walnut kernels based on the fullness and freshness of each walnut kernel in the first category of effective walnut kernels;

[0018] The first category of effective walnut kernels are screened according to the effective utilization rate of each walnut kernel in the first category of effective walnut kernels to obtain the second category of effective walnut kernels.

[0019] Preferably, the walnut kernel parameter information includes walnut kernel surface color information and walnut kernel size information;

[0020] Based on the surface color information of the walnut kernel, it is determined whether there is a difference in the surface color of the walnut kernel. If there is a difference, it is determined that the walnut kernel has a thin skin on the surface but only a part of the thin skin exists. The walnut kernels with different surface colors are screened and marked as half-skin walnut kernels;

[0021] The surface smoothness of the walnut kernels other than the half-skin walnut kernels in the second category of valid walnut kernels is detected, and the walnut kernels whose surface smoothness is greater than the preset surface smoothness threshold are marked as skinless walnut kernels, and the walnut kernels whose surface smoothness is greater than the preset surface smoothness threshold are marked as full-skin walnut kernels.

[0022] Preferably, the whole-shell walnut kernels and the half-shell walnut kernels are marked as walnut kernels to be peeled;

[0023] Creating a three-dimensional rectangular coordinate system, aligning the walnut kernels to be peeled based on the three-dimensional rectangular coordinate system, and dividing each peeled walnut kernel into six surfaces to obtain a determination result of the surface to be peeled;

[0024] Based on the walnut kernel size information of each walnut kernel in the walnut kernel to be peeled, the size of each surface of each walnut kernel is determined to obtain the peeling surface size information;

[0025] Based on the surface color information of each walnut kernel in the walnut kernel to be peeled, the area size of the thin skin on each surface of each walnut kernel is determined to obtain the thin skin size information of the peeled surface;

[0026] The ratio of the thin skin size information of the peeling treatment surface to the size information of the peeling treatment surface is calculated to obtain the thin skin ratio information of the peeling treatment surface.

[0027] Preferably, the baking calorie index of each surface in the result of determining the surface to be peeled of each walnut kernel in the walnut kernel to be peeled is determined according to the walnut kernel size information and the thin skin ratio information of the peeled surface;

[0028] Determine the temperature of high-temperature baking of the peeled walnut kernel according to the peeling surface size information to obtain the peeling and baking temperature of each surface;

[0029] Determining the peeling and baking time of each face of each walnut kernel in the peeled walnut kernel according to the baking heat index of each face and the peeling and baking temperature of each face of each walnut kernel in the peeled walnut kernel, wherein the peeling and baking temperature and the peeling and baking time are combined to form the baking heat index;

[0030] Based on the peeling and baking temperature and peeling and baking time of each side of each walnut kernel in the walnut kernel to be peeled, each side of the walnut kernel in the peeled walnut kernel is subjected to high-temperature baking in a zoned manner, and the peeling processing completion result is output after the peeling processing operation of the walnut kernel to be peeled is completed.

[0031] Preferably, the size of the peeled walnut kernel raw material after the peeling process is detected to obtain the peeled walnut kernel size information, the peeled walnut kernel raw material is classified according to the peeled walnut kernel size information to obtain the peeled walnut kernel classification result, and the peeled walnut kernel is stored in different areas based on the classification result;

[0032] Based on the partitioned storage of the classification results of the peeled walnut kernels, the storage environment of each type of peeled walnut kernel raw materials is detected, and the standard storage environment of each type of walnut kernel is pre-set according to the size information of the peeled walnut kernels. The storage environment of each type of peeled walnut kernel raw materials is compared with the preset standard storage environment to determine whether the storage environment of the peeled walnut kernel raw materials needs to be adjusted. If adjustment is required, it is adjusted to the standard storage environment.

[0033] In the second aspect, the present application provides a production management and control system based on walnut milk powder, which adopts the following technical solutions:

[0034] A production management and control system based on walnut milk powder, comprising:

[0035] The first category walnut kernel selection module is configured to screen and remove walnuts that are moldy and worm-eaten to obtain third-screen qualified walnuts, and shell each walnut among the third-screened qualified walnuts to obtain first category valid walnut kernels;

[0036] The second category walnut kernel selection module is configured to detect the freshness and fullness of the first category of valid walnut kernels and analyze the effective utilization rate of the walnut kernels, and screen the first category of valid walnut kernels based on the effective utilization rate of the walnut kernels to obtain the second category of valid walnut kernels;

[0037] a walnut kernel peeling processing module configured to detect relevant parameters of the second category of valid walnut kernels to obtain walnut kernel parameter information, divide the second category of valid walnut kernels into skinless walnut kernels, half-skin walnut kernels and whole-skin walnut kernels according to the walnut kernel parameter information, determine the peeling and baking time and peeling and baking temperature of the half-skin walnut kernels and the whole-skin walnut kernels when peeling based on the walnut kernel parameter information, peel the half-skin walnut kernels and the whole-skin walnut kernels based on the peeling and baking time and the peeling and baking temperature to obtain peeled walnut kernel raw materials, and output a peeling completion result after the peeling is completed;

[0038] The storage environment monitoring module is configured to store the peeled walnut kernel raw materials and monitor the storage environment of the peeled walnut kernel raw materials in real time, determine whether the storage environment of the peeled walnut kernel raw materials needs to be regulated, and perform real-time regulation if necessary.

[0039] In summary, this application includes at least one of the following beneficial technical effects:

[0040] Walnuts with mildew and insect infestation are screened and eliminated multiple times to obtain qualified walnuts for the third screening, which are then shelled to obtain the first type of effective walnut kernels. The effective utilization rate of the walnut kernels is analyzed according to the freshness and fullness of the first type of effective walnut kernels, and the second type of effective walnut kernels are screened again to obtain the second type of effective walnut kernels. The quality of the walnut kernel raw materials for making walnut milk powder is improved through multi-layer screening, thereby improving the production management efficiency of walnut milk powder. The second type of effective walnut kernels are divided into skinless walnut kernels, half-skin walnut kernels and full-skin walnut kernels according to the proportion of thin skin on the surface of each walnut kernel in the second type of effective walnut kernels. The peeling and baking time and peeling and baking temperature of the half-skin walnut kernels and the full-skin walnut kernels during peeling are determined according to the parameter information of the walnut kernels to be tested, thereby reducing the loss of nutrients in the walnut kernel raw materials caused by over-baking of the walnut kernels during the peeling operation, further improving the quality of the walnut kernel raw materials for making walnut milk powder, thereby further improving the production management efficiency of walnut milk powder, and real-time monitoring of the storage environment of the peeled walnut kernel raw materials further improving the production management efficiency of walnut milk powder. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This embodiment mainly embodies the flow chart of the production management and control method based on walnut milk powder;

[0042] Figure 2 This is a module diagram mainly embodied in the present embodiment of the production management and control system based on walnut milk powder.

[0043] Figure numerals: 1. First category walnut kernel selection module; 2. Second category walnut kernel selection module; 3. Walnut kernel peeling processing module; 4. Storage environment monitoring module. DETAILED DESCRIPTION

[0044] The present application is further described in detail below with reference to the accompanying drawings.

[0045] The embodiment of the present application discloses a production management and control method based on walnut milk powder.

[0046] A production management and control method based on walnut milk powder comprises the following steps:

[0047] Reference Figure 1 In step S1, walnuts that are moldy or worm-eaten are screened and removed to obtain third-screened qualified walnuts, and each of the third-screened qualified walnuts is shelled to obtain first-class effective walnut kernels. Step S1 specifically includes:

[0048] Step S11, immersing the walnuts in salt water, screening and removing the walnuts that are floating on the surface of the salt water and are severely moldy or seriously worm-eaten, to obtain the first screened qualified walnuts.

[0049] In actual use, due to the high density of salt water, when walnuts are immersed in salt water, those that are severely infested with insects or mold will float up due to the reduced density. The buoyancy can be used to preliminarily select the walnuts that are severely infested with insects or mold.

[0050] Specifically, complete walnuts in shells are selected and classified according to the size of the complete walnuts in shells to obtain the classification results of complete walnuts in shells, incomplete walnuts in shells are selected and classified according to the size of the incomplete walnuts in shells to obtain the classification results of incomplete walnuts in shells, incomplete walnuts without shells, i.e. walnut pulp, are selected and classified according to the size of the walnut pulp to obtain the classification results of walnut pulp, and different concentrations of screening salt water are prepared based on the classification results of complete walnuts in shells, the classification results of incomplete walnuts in shells and the classification results of walnut pulp, and each type of walnut in the classification results of complete walnuts in shells, the classification results of incomplete walnuts in shells and the classification results of walnut pulp are completely immersed in the screening salt water of corresponding concentrations, and after waiting for a set time, the walnuts floating on the surface of the salt water are walnuts with severe mildew or severe insect infestation, which are screened and discarded to obtain the first screening qualified walnuts.

[0051] Step S12, based on near-infrared spectroscopy technology, identifies the metabolites produced by mildew inside each walnut in the first screening of qualified walnuts, and then identifies the mildewed walnuts and screens them out to obtain the second screening of qualified walnuts.

[0052] Specifically, by analyzing the absorption and reflection spectra of near-infrared light of each walnut in the first screened qualified walnuts, the metabolites produced by mold in each walnut in the first screened qualified walnuts are identified to obtain the moldy metabolite content, such as aflatoxin. The moldy metabolite content threshold is pre-set based on the size of the walnut, wherein the larger the walnut size, the higher the moldy metabolite content threshold is allowed. The moldy metabolite content is compared with the preset moldy metabolite content threshold, and walnuts with moldy metabolite content greater than or equal to the preset moldy metabolite content threshold are screened and eliminated to obtain the second screened qualified walnuts.

[0053] In step S13, each of the walnuts in the second screening is photographed using X-ray imaging technology to obtain an X-ray image. Based on the X-ray image, the internal insect infestation of each of the walnuts in the second screening is identified, and the walnuts are screened and removed to obtain the third screening of qualified walnuts. Specifically, X-rays are used to penetrate the walnuts, and density difference imaging is used to identify insect-infested cavities or internal structural abnormalities.

[0054] Step S14: shelling each walnut among the third screened qualified walnuts to obtain first-class effective walnut kernels.

[0055] Reference Figure 1Step S2: detecting the freshness and fullness of the first type of effective walnut kernels and analyzing the effective utilization rate of the walnut kernels. Based on the effective utilization rate of the walnut kernels, the first type of effective walnut kernels are screened to obtain the second type of effective walnut kernels. Step S2 specifically includes:

[0056] Step S21, detecting the fullness of the first type of effective walnut kernels to obtain the walnut kernel fullness.

[0057] Specifically, a walnut kernel sample database is obtained, which includes a large number of plump walnut kernel image samples. Based on the large number of plump walnut kernel image samples in the walnut kernel sample database, the benchmarking convexity and benchmarking concavity of different parts of the walnut kernel are analyzed, wherein the benchmarking convexity includes the maximum benchmarking convexity and the minimum benchmarking convexity, and the benchmarking concavity includes the maximum benchmarking concavity and the minimum benchmarking concavity.

[0058] The X-ray images of the first type of valid walnut kernels are used to judge the characteristic protrusion degree and characteristic depression degree of different parts of each walnut in the first type of valid walnut kernels.

[0059] The characteristic convexity is compared with the benchmark convexity. If the characteristic convexity is between the maximum benchmark convexity and the minimum benchmark convexity, a normal convexity result is output; if the characteristic convexity is not between the maximum benchmark convexity and the minimum benchmark convexity, an abnormal convexity result is output. Based on the difference between the characteristic convexity and the benchmark convexity, the fullness of the raised part of each walnut kernel in the first category of valid walnut kernels is judged to obtain the fullness of the first walnut kernel, that is, when the characteristic convexity is greater than the maximum benchmark convexity, the difference between the characteristic convexity and the maximum benchmark convexity, or when the characteristic convexity is less than the minimum benchmark convexity, the difference between the characteristic convexity and the minimum benchmark convexity.

[0060] The characteristic concavity is compared with the benchmark concavity. If the characteristic concavity is between the maximum and minimum benchmark concavity, a normal concavity result is output; if the characteristic concavity is not between the maximum and minimum benchmark concavity, an abnormal concavity result is output. Based on the difference between the characteristic concavity and the benchmark concavity, the fullness of the concave part of each walnut kernel in the first category of valid walnut kernels is judged to obtain the fullness of the second walnut kernel, that is, when the characteristic concavity is greater than the maximum benchmark concavity, the difference between the characteristic concavity and the maximum benchmark concavity, or when the characteristic concavity is less than the minimum benchmark concavity, the difference between the characteristic concavity and the minimum benchmark concavity.

[0061] The walnut kernel fullness of each walnut kernel in the first category of valid walnut kernels is obtained by calculating the mean of the first walnut kernel fullness and the second walnut kernel fullness of each walnut kernel in the first category of valid walnut kernels.

[0062] Step S22: detecting the freshness of the first type of effective walnut kernels to obtain the freshness of the walnut kernels.

[0063] Specifically, the surface of each walnut kernel in the first category of effective walnut kernels is tested to see whether it emits a pungent gas. If no pungent gas is emitted, the walnut kernel is judged to be relatively fresh. If pungent gas is emitted, the degree of pungent gas is judged. The higher the degree of pungent gas, the lower the freshness of the walnut kernel.

[0064] Step S23: determining the effective utilization rate of each walnut kernel in the first category of effective walnut kernels based on the walnut kernel plumpness and walnut kernel freshness of each walnut kernel in the first category of effective walnut kernels, wherein the walnut kernel plumpness is positively correlated with the effective utilization rate of the walnut kernel, and the walnut kernel freshness is positively correlated with the effective utilization rate of the walnut kernel.

[0065] Step S24: Screening the first category of valid walnut kernels according to the effective utilization rate of each walnut kernel in the first category to obtain the second category of valid walnut kernels. Specifically, the effective utilization rate of each walnut kernel in the first category of valid walnut kernels is compared with a preset threshold value of effective utilization rate of walnut kernels. If the effective utilization rate of each walnut kernel in the first category of valid walnut kernels is less than the preset threshold value of effective utilization rate of walnut kernels, the kernels are screened and eliminated. If the effective utilization rate of each walnut kernel is greater than or equal to the preset threshold value of effective utilization rate of walnut kernels, the kernels are screened and retained to obtain the second category of valid walnut kernels.

[0066] Reference Figure 1 In step S3, relevant parameters of the second type of valid walnut kernels are detected to obtain walnut kernel parameter information, and the second type of valid walnut kernels are divided into skinless walnut kernels, half-skin walnut kernels, and whole-skin walnut kernels according to the walnut kernel parameter information. The peeling and baking time and peeling and baking temperature of the half-skin walnut kernels and the whole-skin walnut kernels during the peeling process are determined based on the walnut kernel parameter information. The half-skin walnut kernels and the whole-skin walnut kernels are peeled based on the peeling and baking time and the peeling and baking temperature to obtain peeled walnut kernel raw materials. After the peeling process is completed, the peeling process completion result is output. Step S3 specifically includes:

[0067] Step SA1: walnut kernel parameter information includes walnut kernel surface color information and walnut kernel size information.

[0068] Step SA2: determine whether there is a difference in the surface color of the walnut kernel based on the surface color information of the walnut kernel. If there is a difference, it is determined that there is a thin skin on the surface of the walnut kernel but only a part of the thin skin exists. The walnut kernels with different surface colors are screened and marked as half-skin walnut kernels.

[0069] Step SA3, detect the surface smoothness of the walnut kernels in the second category of valid walnut kernels except for the half-skin walnut kernels, mark the walnut kernels whose surface smoothness is greater than the preset surface smoothness threshold as skinless walnut kernels, and mark the walnut kernels whose surface smoothness is greater than the preset surface smoothness threshold as full-skin walnut kernels.

[0070] Step S3 further includes:

[0071] Step SB1, marking the whole-skin walnut kernels and half-skin walnut kernels as walnut kernels to be peeled.

[0072] Step SB2: Create a three-dimensional rectangular coordinate system, use the three-dimensional rectangular coordinate system to align the walnut kernels to be peeled, and divide each peeled walnut kernel into six faces to obtain a result of determining the face to be peeled. Each face in the result of determining the face to be peeled is combined to form a peeling cube, which is precisely sized to enclose the walnut kernels to be peeled.

[0073] Step SB3, based on the walnut kernel size information of each walnut kernel in the walnut kernel to be peeled, determine the size of each surface in the result of the peeled surface determination of each walnut kernel to obtain the peeled surface size information.

[0074] Step SB4, based on the walnut kernel surface color information of each walnut kernel in the walnut kernel to be peeled, determine the area size of the thin skin on each surface in the determination result of the peeled surface of each walnut kernel to obtain the thin skin size information of the peeled surface.

[0075] Step SB5, calculate the ratio of the thin skin size information of the peeled surface to the peeled surface size information, that is, the thin skin ratio of each surface in the determined results of the peeled surface of each walnut kernel in the peeled walnut kernel, and obtain the thin skin ratio information of the peeled surface.

[0076] Step S3 further includes:

[0077] Step SC1: Determine the roasting calorie index of each surface of the walnut kernels to be peeled, based on the walnut kernel size information and the thin-skin ratio of the peeled surface. The walnut kernel size information is positively correlated with the roasting calorie index, and the thin-skin ratio of the peeled surface is positively correlated with the roasting parameter index. Specifically, larger walnut kernels in the walnut kernel size information are associated with larger roasting calorie index values.

[0078] Step SC2, determining the temperature for high-temperature baking of the peeled walnut kernels according to the peeling surface size information to obtain the peeling and baking temperature of each surface.

[0079] Step SC3, according to the baking heat index and peeling baking temperature of each surface in the result of determining the surface to be peeled of each walnut kernel in the peeled walnut kernel, determine the peeling baking time of each surface in the result of determining the surface to be peeled of each walnut kernel in the peeled walnut kernel, and the peeling baking temperature and the peeling baking time are combined to form the baking heat index.

[0080] Step SC4, based on the peeling processing surface of each walnut kernel in the walnut kernel to be peeled, determine the peeling baking temperature and peeling baking time of each surface in the result, perform high-temperature baking on each surface of the walnut kernel in the walnut kernel to be peeled to make the thin skin on the surface of the walnut kernel to be peeled fall off, and output the peeling completion result after completing the peeling processing operation of the walnut kernel to be peeled.

[0081] Reference Figure 1 In step S4, the peeled walnut kernel raw material is stored and the storage environment of the peeled walnut kernel raw material is monitored in real time to determine whether the storage environment of the peeled walnut kernel raw material needs to be regulated. If necessary, the storage environment of the peeled walnut kernel raw material is regulated in real time. Step S4 specifically includes:

[0082] Step S41, detecting the size of the peeled walnut kernel raw material after the peeling process to obtain the peeled walnut kernel size information, classifying the peeled walnut kernel raw material according to the peeled walnut kernel size information to obtain the peeled walnut kernel classification result, and partitioning and storing the peeled walnut kernel based on the peeled walnut kernel classification result.

[0083] Step S42, based on the partitioned storage of the peeled walnut kernel classification results, detect the storage environment of each type of peeled walnut kernel raw materials, specifically, the storage environment includes storage temperature, storage humidity, storage light intensity, and pre-set the standard storage environment of each type of walnut kernel according to the size information of the peeled walnut kernel. Specifically, the standard storage environment includes standard storage temperature, standard storage humidity and standard storage light intensity. Compare the storage environment of each type of peeled walnut kernel raw materials with the preset standard storage environment to determine whether the storage environment of the peeled walnut kernel raw materials needs to be regulated. If regulation is required, regulate it to the standard storage environment.

[0084] The embodiment of the present application also discloses a production management and control system based on walnut milk powder.

[0085] Reference Figure 2 , a production management and control system based on walnut milk powder includes:

[0086] The first category walnut kernel selection module is configured to screen and remove walnuts that are moldy and worm-eaten to obtain third-screened qualified walnuts, and shell each walnut in the third-screened qualified walnuts to obtain first-category effective walnut kernels.

[0087] The second category walnut kernel selection module is configured to detect the freshness and fullness of the first category effective walnut kernels and analyze the effective utilization rate of the walnut kernels. Based on the effective utilization rate of the walnut kernels, the first category effective walnut kernels are screened to obtain the second category effective walnut kernels.

[0088] The walnut kernel peeling processing module is configured to detect the relevant parameters of the second category of valid walnut kernels to obtain walnut kernel parameter information, divide the second category of valid walnut kernels into skinless walnut kernels, half-skin walnut kernels and full-skin walnut kernels according to the walnut kernel parameter information, judge the peeling and baking time and peeling and baking temperature of the half-skin walnut kernels and the full-skin walnut kernels during peeling based on the walnut kernel parameter information, peel the half-skin walnut kernels and the full-skin walnut kernels based on the peeling and baking time and the peeling and baking temperature to obtain peeled walnut kernel raw materials, and output the peeling completion result after the peeling process is completed.

[0089] The storage environment monitoring module is configured to store the peeled walnut kernel raw materials and monitor the storage environment of the peeled walnut kernel raw materials in real time, determine whether the storage environment of the peeled walnut kernel raw materials needs to be regulated, and perform real-time regulation if necessary.

[0090] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A production management and control method based on walnut milk powder, characterized in that, include: S1, screening and removing walnuts that are moldy or worm-eaten to obtain third-screen qualified walnuts, and shelling each of the third-screened qualified walnuts to obtain first-class valid walnut kernels; S2, detecting the freshness and fullness of the first type of effective walnut kernels and analyzing the effective utilization rate of the walnut kernels, and screening the first type of effective walnut kernels to obtain the second type of effective walnut kernels based on the effective utilization rate of the walnut kernels; S3, detecting relevant parameters of the second category of valid walnut kernels to obtain walnut kernel parameter information, dividing the second category of valid walnut kernels into skinless walnut kernels, half-skin walnut kernels, and whole-skin walnut kernels according to the walnut kernel parameter information, determining the peeling and baking time and peeling and baking temperature of the half-skin walnut kernels and the whole-skin walnut kernels when peeling based on the walnut kernel parameter information, peeling the half-skin walnut kernels and the whole-skin walnut kernels based on the peeling and baking time and the peeling and baking temperature to obtain peeled walnut kernel raw materials, and outputting a peeling completion result after the peeling is completed; S4, storing the peeled walnut kernel raw material and monitoring the storage environment of the peeled walnut kernel raw material in real time, judging whether the storage environment of the peeled walnut kernel raw material needs to be regulated, and if necessary, performing real-time regulation.

2. The production management and control method based on walnut milk powder according to claim 1 is characterized in that, Step S1 specifically includes: Immersing the walnuts in salt water, screening and removing the walnuts that are seriously moldy or seriously worm-eaten and floating on the surface of the salt water to obtain first-screened qualified walnuts; Using near-infrared spectroscopy technology, the metabolites produced by mold in each walnut among the qualified walnuts in the first screening are identified, and then the moldy walnuts are identified and screened out to obtain the qualified walnuts in the second screening; Using X-ray imaging technology, each walnut among the second-screened qualified walnuts is photographed to obtain an X-ray image, and based on the X-ray image, the internal insect infestation of each walnut among the second-screened qualified walnuts is identified and the walnuts are screened and removed to obtain the third-screened qualified walnuts; Each walnut among the qualified walnuts screened in the third step is shelled to obtain the first type of effective walnut kernels.

3. A production management and control method based on walnut milk powder according to claim 2, characterized in that, Step S2 specifically includes: Detecting the fullness of the first type of effective walnut kernels to obtain the walnut kernel fullness; Detecting the freshness of the first type of effective walnut kernels to obtain the walnut kernel freshness; Determining the effective utilization rate of each walnut kernel in the first category of effective walnut kernels based on the fullness and freshness of each walnut kernel in the first category of effective walnut kernels; The first category of effective walnut kernels are screened according to the effective utilization rate of each walnut kernel in the first category of effective walnut kernels to obtain the second category of effective walnut kernels.

4. A production management and control method based on walnut milk powder according to claim 3, characterized in that, Step S3 specifically includes: The walnut kernel parameter information includes walnut kernel surface color information and walnut kernel size information; Based on the surface color information of the walnut kernel, it is determined whether there is a difference in the surface color of the walnut kernel. If there is a difference, it is determined that the walnut kernel has a thin skin on the surface but only a part of the thin skin exists. The walnut kernels with different surface colors are screened and marked as half-skin walnut kernels; The surface smoothness of the walnut kernels other than the half-skin walnut kernels in the second category of valid walnut kernels is detected, and the walnut kernels whose surface smoothness is greater than the preset surface smoothness threshold are marked as skinless walnut kernels, and the walnut kernels whose surface smoothness is greater than the preset surface smoothness threshold are marked as full-skin walnut kernels.

5. A production management and control method based on walnut milk powder according to claim 4, characterized in that, Step S3 further includes: Marking the whole-shell walnut kernels and the half-shell walnut kernels as walnut kernels to be peeled; Creating a three-dimensional rectangular coordinate system, aligning the walnut kernels to be peeled based on the three-dimensional rectangular coordinate system, and dividing each peeled walnut kernel into six surfaces to obtain a determination result of the surface to be peeled; Based on the walnut kernel size information of each walnut kernel in the walnut kernel to be peeled, the size of each surface of each walnut kernel is determined to obtain the peeling surface size information; Based on the surface color information of each walnut kernel in the walnut kernel to be peeled, the area size of the thin skin on each surface of each walnut kernel is determined to obtain the thin skin size information of the peeled surface; The ratio of the thin skin size information of the peeling treatment surface to the size information of the peeling treatment surface is calculated to obtain the thin skin ratio information of the peeling treatment surface.

6. A production management and control method based on walnut milk powder according to claim 5, characterized in that, Step S3 further includes: According to the walnut kernel size information and the thin skin ratio information of the peeled surface, the peeled surface of each walnut kernel in the peeled walnut kernel is determined, and the baking calorie index of each surface in the result is determined; Determine the temperature of high-temperature baking of the peeled walnut kernel according to the peeling surface size information to obtain the peeling and baking temperature of each surface; Determining the peeling and baking time of each face of each walnut kernel in the peeled walnut kernel according to the baking heat index of each face and the peeling and baking temperature of each face of each walnut kernel in the peeled walnut kernel, wherein the peeling and baking temperature and the peeling and baking time are combined to form the baking heat index; Based on the peeling and baking temperature and peeling and baking time of each side of each walnut kernel in the walnut kernel to be peeled, each side of the walnut kernel in the peeled walnut kernel is subjected to high-temperature baking in a zoned manner, and the peeling processing completion result is output after the peeling processing operation of the walnut kernel to be peeled is completed.

7. A production management and control method based on walnut milk powder according to claim 6, characterized in that: Step S4 specifically includes: Detecting the size of the peeled walnut kernel raw material after the peeling process to obtain the peeled walnut kernel size information, classifying the peeled walnut kernel raw material according to the peeled walnut kernel size information to obtain the peeled walnut kernel classification results, and partitioning and storing the peeled walnut kernels based on the peeled walnut kernel classification results; Based on the partitioned storage of the classification results of the peeled walnut kernels, the storage environment of each type of peeled walnut kernel raw materials is detected, and the standard storage environment of each type of walnut kernel is pre-set according to the size information of the peeled walnut kernels. The storage environment of each type of peeled walnut kernel raw materials is compared with the preset standard storage environment to determine whether the storage environment of the peeled walnut kernel raw materials needs to be adjusted. If adjustment is required, it is adjusted to the standard storage environment.

8. A production management and control system based on walnut milk powder, characterized in that: The walnut milk powder-based production management and control system is used to implement the walnut milk powder-based production management and control method according to any one of claims 1 to 7, comprising: The first category walnut kernel selection module is configured to screen and remove walnuts that are moldy and worm-eaten to obtain third-screen qualified walnuts, and shell each walnut among the third-screened qualified walnuts to obtain first category valid walnut kernels; The second category walnut kernel selection module is configured to detect the freshness and fullness of the first category of valid walnut kernels and analyze the effective utilization rate of the walnut kernels, and screen the first category of valid walnut kernels based on the effective utilization rate of the walnut kernels to obtain the second category of valid walnut kernels; a walnut kernel peeling processing module configured to detect relevant parameters of the second category of valid walnut kernels to obtain walnut kernel parameter information, divide the second category of valid walnut kernels into skinless walnut kernels, half-skin walnut kernels and whole-skin walnut kernels according to the walnut kernel parameter information, determine the peeling and baking time and peeling and baking temperature of the half-skin walnut kernels and the whole-skin walnut kernels when peeling based on the walnut kernel parameter information, peel the half-skin walnut kernels and the whole-skin walnut kernels based on the peeling and baking time and the peeling and baking temperature to obtain peeled walnut kernel raw materials, and output a peeling completion result after the peeling is completed; The storage environment monitoring module is configured to store the peeled walnut kernel raw materials and monitor the storage environment of the peeled walnut kernel raw materials in real time, determine whether the storage environment of the peeled walnut kernel raw materials needs to be regulated, and perform real-time regulation if necessary.

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