Control method and system for chocolate walnut kernel food production process

Abstract

The invention discloses a control method and system for a chocolate and walnut kernel food production process, and belongs to the technical field of production process optimizing.The control method comprises the steps that coating state data of chocolate liquid and the appearance flatness of walnut kernels are obtained; generating a coating health prediction index according to the coating state data; according to the health prediction index of the coating, analyzing whether the coating on the walnut kernel has an unqualified risk or not; state data of the chocolate liquid are obtained, and chocolate liquid evaluation indexes are generated; according to the coating health prediction index and the chocolate liquid evaluation index, a chocolate liquid production temperature adjustment value is generated, and the working temperature of chocolate liquid production equipment is adjusted; according to the method, the coating health prediction index and raw material evaluation system is constructed by obtaining the multi-dimensional data such as the coating thickness, the flowing speed and the appearance characteristics in real time, closed-loop intelligent regulation and control of the chocolate coating process are achieved, raw material waste and equipment energy consumption are reduced, the coating uniformity and the appearance quality are improved, and therefore the product quality is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of production process optimization, and particularly relates to a control method and system for the production process of chocolate walnut foods. Background Art

[0002] With the improvement of people's living standards and the enhancement of health awareness, chocolate walnuts, as a nutritious and uniquely flavored snack food, have gradually gained the favor of consumers. This food not only combines the sweetness of chocolate and the crispness of walnuts but also is rich in various nutrients beneficial to the human body, such as unsaturated fatty acids, proteins, minerals, and vitamins. Therefore, its market demand continues to grow.

[0003] In the production process of chocolate walnut foods, the coating of chocolate liquid is a key link. Traditional production processes mainly rely on manual operations and simple mechanical assistance, lacking precise control and real-time feedback mechanisms for the coating state; specifically, key parameters such as coating thickness, coating appearance characteristics, and coating flow rate are often difficult to accurately control, resulting in unstable product quality and low qualification rates. In addition, there are also no effective means to monitor and adjust the state of the chocolate liquid itself (such as viscosity value and agglomerate volume), further affecting the final quality of the product. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a control method and system for the production process of chocolate walnut foods, which solve the above problems.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A control method for the production process of chocolate walnut foods includes the following steps:

[0006] Obtain the coating state data of the chocolate liquid on the walnuts and the surface flatness of the walnuts; wherein, the coating state data includes coating thickness, coating appearance characteristics, and coating flow rate; the coating appearance characteristics include surface smoothness and surface glossiness;

[0007] According to the coating state data, establish a coating analysis model and generate a coating health prediction index;

[0008] According to the coating health prediction index, analyze whether there is a risk of unqualified coating on the walnuts;

[0009] If there is a risk of unqualified coating on the walnuts, obtain the state data of the chocolate liquid, establish a coating raw material analysis model, and generate a chocolate liquid evaluation index; wherein, the state data of the chocolate liquid includes viscosity value and agglomerate volume;

[0010] Based on the coating health prediction index and the chocolate liquid evaluation index, establish a coating raw material adjustment model to generate the adjusted value of the production temperature of the chocolate liquid;

[0011] Adjust the working temperature of the chocolate liquid production equipment according to the adjusted value of the production temperature of the chocolate liquid.

[0012] On the basis of the above technical solutions, the present invention also provides the following alternative technical solutions:

[0013] Further technical solution: The specific generation method of the coating health prediction index specifically includes the following steps:

[0014] Generate a coating thickness aggregation index according to the coating thickness;

[0015] Generate a coating appearance evaluation index according to the surface smoothness and surface glossiness;

[0016] Generate a coating flow velocity evaluation index according to the coating flow velocity;

[0017] Establish a coating analysis model according to the walnut appearance flatness, the coating thickness aggregation index, the coating appearance evaluation index and the coating flow velocity evaluation index to generate the coating health prediction index.

[0018] Further technical solution: The specific generation method of the coating thickness aggregation index is as follows:

[0019] Generate a thickness deviation value according to the coating thickness and the thickness standard range; wherein, the thickness deviation value refers to the difference between the coating thickness and the near endpoint of the thickness standard range; the coating thickness refers to the average thickness of the coating on the walnut;

[0020] Generate a coating thickness aggregation index according to the thickness deviation value and the thickness standard range; wherein, the coating thickness aggregation index refers to the ratio between the thickness deviation value and the near endpoint of the thickness standard range.

[0021] Further technical solution: The specific generation method of the coating appearance evaluation index is as follows:

[0022] Generate a smoothness evaluation index according to the surface smoothness and the smoothness threshold; wherein, the smoothness evaluation index refers to the ratio between the surface smoothness and the smoothness threshold; the smoothness threshold refers to the lowest smoothness of the coating surface in the production requirements;

[0023] Generate a glossiness evaluation index according to the surface glossiness and the glossiness threshold; wherein, the glossiness evaluation index refers to the ratio between the surface glossiness and the glossiness threshold; the glossiness threshold refers to the lowest glossiness of the coating surface in the production requirements;

[0024] The smoothness evaluation index and the glossiness evaluation index are weighted to generate a coating appearance evaluation index.

[0025] Further technical solution: The specific generation method of the coating flow velocity evaluation index is as follows:

[0026] Based on the coating flow velocity and the near-end point of the standard flow velocity range, a coating flow velocity deviation value is generated; the standard flow velocity range refers to the flow velocity range when the chocolate liquid wraps around the walnut kernel under standard working conditions;

[0027] Based on the coating flow velocity deviation value and the near-end point of the flow velocity range, a coating flow velocity evaluation index is generated.

[0028] Further technical solution: The expression of the coating analysis model is:

[0029] ;

[0030] In the expression, K represents the coating health prediction index, represents the coating thickness aggregation index, represents the coating flow velocity evaluation index, represents the coating appearance evaluation index, represents the surface flatness of the walnut kernel, and α and β are both weight coefficients, and α + β = 1.

[0031] Further technical solution: The specific generation method of the surface flatness of the walnut kernel is as follows:

[0032] The surface of the walnut kernel is scanned to generate a three-dimensional surface scan model of the walnut kernel;

[0033] Based on the three-dimensional surface scan model of the walnut kernel, the peak height on one side of the gully on the surface of the walnut kernel is obtained;

[0034] Based on the peak heights on both sides of the gully on the surface of the walnut kernel, an average height is generated; among them, the average height refers to the average value of the peak heights on both sides of all the gullies on the surface of the walnut kernel;

[0035] Based on the peak height on one side of the gully on the surface of the walnut kernel and the average height, a protrusion height is generated; among them, the protrusion height refers to the difference between the peak heights on both sides of the gully on the surface of the walnut kernel and the average height;

[0036] Based on the protrusion height and the middle value of the standard coating thickness range, a surface protrusion evaluation value is generated; among them, the surface protrusion evaluation value refers to the difference between the abnormal protrusion height and the middle value of the standard coating thickness range;

[0037] The protrusion height is compared with the middle value of the standard coating thickness range;

[0038] If the height of the protrusion is less than or equal to the median value of the standard coating thickness range, indicating that the protrusion can be covered by the coating, then mark this place as a normal protrusion;

[0039] If the height of the protrusion is greater than the median value of the standard coating thickness range, indicating that the protrusion cannot be covered by the coating, then mark this place as an abnormal protrusion;

[0040] Obtain the area occupied by the abnormal protrusions, and generate the appearance flatness of the walnut kernel based on the area occupied by the abnormal protrusions and the total surface area of the walnut kernel; wherein, the appearance flatness of the walnut kernel refers to the ratio of the difference between the area occupied by the abnormal protrusions and the total surface area of the walnut kernel to the total surface area of the walnut kernel.

[0041] Further technical solution: The specific method for generating the chocolate liquid evaluation index includes the following steps:

[0042] Divide the chocolate liquid into a used area and an area to be used;

[0043] Obtain the viscosity value and the caking volume of the chocolate liquid in the used area, and generate the raw material evaluation value of the used area;

[0044] Obtain the viscosity value and the caking volume of the chocolate liquid in the area to be used, and generate the raw material evaluation value of the area to be used;

[0045] Establish a coating raw material analysis model based on the raw material evaluation value of the used area and the raw material evaluation value of the area to be used, and generate the chocolate liquid evaluation index;

[0046] Among them, the specific method for generating the raw material evaluation value of the used area is as follows:

[0047] Generate the chocolate liquid viscosity evaluation index of the used area according to the viscosity value of the chocolate liquid in the used area; wherein, the chocolate liquid viscosity evaluation index of the used area refers to the ratio of the viscosity value of the chocolate liquid in the used area to the viscosity threshold;

[0048] Generate the chocolate liquid caking evaluation index of the used area according to the caking volume of the chocolate liquid in the used area; wherein, the chocolate liquid caking evaluation index of the used area refers to the ratio of the caking volume of the chocolate liquid in the used area to the volume of the chocolate liquid in the used area;

[0049] Perform weighted processing on the chocolate liquid viscosity evaluation index of the used area and the chocolate liquid caking evaluation index of the used area to generate the raw material evaluation value of the used area;

[0050] Among them, the specific method for generating the raw material evaluation value of the area to be used is as follows:

[0051] Generate a viscosity evaluation index for the chocolate liquid in the area to be used according to the viscosity value of the chocolate liquid in the area to be used; wherein, the viscosity evaluation index of the chocolate liquid in the area to be used refers to the ratio between the viscosity value of the chocolate liquid in the area to be used and the viscosity threshold value;

[0052] Generate a caking evaluation index for the chocolate liquid in the area to be used according to the caking volume of the chocolate liquid in the area to be used; wherein, the caking evaluation index of the chocolate liquid in the area to be used refers to the ratio between the caking volume of the chocolate liquid in the area to be used and the volume of the chocolate liquid in the area to be used;

[0053] Perform weighted processing on the viscosity evaluation index of the chocolate liquid in the area to be used and the caking evaluation index of the chocolate liquid in the area to be used to generate a raw material evaluation value for the area to be used;

[0054] Among them, the expression of the coating raw material analysis model is specifically:

[0055] ;

[0056] In the expression, represents the chocolate liquid evaluation index, represents the raw material evaluation value of the used area, represents the raw material evaluation value of the area to be used, represents the volume of the chocolate liquid in the area to be used, represents the volume of the chocolate liquid in the used area.

[0057] Further technical solution: The expression of the coating raw material adjustment model is specifically:

[0058] ;

[0059] In the expression, represents the adjustment value of the chocolate liquid production temperature, represents the current chocolate liquid production temperature value, K represents the coating health prediction index, represents the chocolate liquid evaluation index.

[0060] A control system for a chocolate walnut food production process, the system includes:

[0061] A data acquisition module, configured to acquire the coating state data of the chocolate liquid on the walnuts and the appearance flatness of the walnuts; wherein, the coating state data includes the coating thickness, the coating appearance characteristics and the coating flow rate; the coating appearance characteristics include the surface smoothness and the surface glossiness;

[0062] A coating health analysis unit, configured to establish a coating analysis model according to the coating state data and generate a coating health prediction index;

[0063] A coating health judgment module, which is used to analyze whether there is a risk of non - compliance of the coating on the walnut kernel according to the coating health prediction index;

[0064] A raw material analysis unit. If there is a risk of non - compliance of the coating on the walnut kernel, the raw material analysis unit is used to obtain the state data of the chocolate liquid, establish a coating raw material analysis model, and generate a chocolate liquid evaluation index; wherein, the state data of the chocolate liquid includes the viscosity value and the caking volume;

[0065] An adjustment analysis module, which is used to establish a coating raw material adjustment model according to the coating health prediction index and the chocolate liquid evaluation index, and generate a chocolate liquid production temperature adjustment value;

[0066] An adjustment control module, which is used to adjust the working temperature of the chocolate liquid production equipment according to the chocolate liquid production temperature adjustment value.

[0067] The present invention provides a control method and system for a chocolate - coated walnut food production process, which has the following beneficial effects compared with the prior art:

[0068] By obtaining multi - dimensional data such as coating thickness, flow velocity, and appearance characteristics in real time, the present invention constructs a coating health prediction index and a raw material evaluation system, realizing the closed - loop intelligent regulation of the chocolate coating process. It not only reduces raw material waste and equipment energy consumption, but also improves the coating uniformity and appearance quality, thus improving the product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] [[ID=No.22]] Figure 1 It is a flowchart of a control method for a chocolate - coated walnut food production process provided by an embodiment of the present invention.

[0070] Figure 2 [[ID=2 No.7]]It is a flowchart of step S20 provided by an embodiment of the present invention.

[0071] Figure 3 It is a flowchart of a method for obtaining the appearance flatness of a walnut kernel provided by an embodiment of the present invention.

[0072] Figure 4 It is a flowchart of step S30 provided by an embodiment of the present invention.

[0073] Figure 5 It is a flowchart of step S40 provided by an embodiment of the present invention.

[0074] Figure 6 It is a schematic structural diagram of a control system for a chocolate - coated walnut food production process provided by an embodiment of the present invention.

[0075] Figure 7It is a block diagram of the coating health analysis unit provided by an embodiment of the present invention.

[0076] Figure 8 It is a block diagram of the raw material analysis unit provided by an embodiment of the present invention. Detailed implementation manners

[0077] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0078] The following describes the specific implementation of the present invention in detail with reference to specific embodiments.

[0079] Please refer to Figure 1 , which is a control method for the production process of a chocolate walnut food provided by an embodiment of the present invention, including the following steps:

[0080] Step S10: Obtain the coating state data of the chocolate liquid on the walnuts and the appearance flatness of the walnuts; wherein, the coating state data includes the coating thickness, the coating appearance characteristics and the coating flow rate; the coating appearance characteristics include the surface smoothness and the surface glossiness;

[0081] Step S20: Establish a coating analysis model based on the coating state data and generate a coating health prediction index;

[0082] Step S30: Analyze whether there is a risk of non-conformity in the coating on the walnuts according to the coating health prediction index;

[0083] Step S40: If there is a risk of non-conformity in the coating on the walnuts, obtain the state data of the chocolate liquid, establish a coating raw material analysis model, and generate a chocolate liquid evaluation index; wherein, the state data of the chocolate liquid includes the viscosity value and the caking volume;

[0084] Step S50: Establish a coating raw material adjustment model according to the coating health prediction index and the chocolate liquid evaluation index, and generate a chocolate liquid production temperature adjustment value;

[0085] Step S60: Adjust the working temperature of the chocolate liquid production equipment according to the chocolate liquid production temperature adjustment value.

[0086] Please refer to Figure 2 , as a preferred embodiment of the present invention, the specific manner of generating the coating health prediction index specifically includes the following steps:

[0087] S21: Generate a coating thickness aggregation index according to the coating thickness;

[0088] S22: Generate a coating appearance evaluation index based on surface smoothness and surface glossiness;

[0089] S23: Generate a coating flow velocity evaluation index based on the coating flow velocity;

[0090] S24: Establish a coating analysis model based on the walnut kernel appearance flatness, coating thickness aggregation index, coating appearance evaluation index, and coating flow velocity evaluation index, and generate a coating health prediction index.

[0091] As a preferred embodiment of the present invention, the specific method for generating the coating thickness aggregation index is as follows:

[0092] Generate a thickness deviation value based on the coating thickness and the thickness standard range; wherein, the thickness deviation value refers to the difference between the coating thickness and the near endpoint of the thickness standard range; the coating thickness refers to the average thickness of the coating on the walnut kernel;

[0093] In this embodiment, by evenly dividing the coating on the walnut kernel into several regions, the average thickness of the coating on the walnut kernel can be obtained according to the coating thickness of each region;

[0094] The thickness standard range refers to the thickness of the chocolate liquid wrapped on the walnut kernel in the standard production formula; the thickness of the chocolate liquid wrapped on the walnut kernel has an important impact on the taste, appearance, and shelf life of the final product. Both too large or too small coating thickness will affect its overall quality; for example, too thick a chocolate layer will make the taste too sweet or greasy, resulting in the fragrance of the walnut kernel being covered by the chocolate taste, making the overall product taste unbalanced, and at the same time increasing production costs; on the contrary, too thin a coating will result in the chocolate taste not being prominent enough, and the fragrance of the walnut kernel may be too dominant, lacking the richness of chocolate, the overall taste may seem single, affecting the taste balance, and too thin a coating will also cause the chocolate layer to be not strong enough, easy to fall off or be crushed; at the same time, too thin a coating cannot effectively protect the nuts from oxidation, moisture, etc., which may cause the nuts to deteriorate or become damp;

[0095] Generate a coating thickness aggregation index based on the thickness deviation value and the thickness standard range; wherein, the coating thickness aggregation index refers to the ratio between the thickness deviation value and the near endpoint of the thickness standard range.

[0096] As a preferred embodiment of the present invention, the specific method for generating the coating appearance evaluation index is as follows:

[0097] Generate a smoothness evaluation index based on the surface smoothness and the smoothness threshold; wherein, the smoothness evaluation index refers to the ratio between the surface smoothness and the smoothness threshold; the smoothness threshold refers to the minimum smoothness of the coating surface in the production requirements;

[0098] Generate a glossiness evaluation index based on the surface glossiness and the glossiness threshold; wherein, the glossiness evaluation index refers to the ratio between the surface glossiness and the glossiness threshold; the glossiness threshold refers to the minimum glossiness of the coating surface in the production requirements;

[0099] Perform a weighted process on the smoothness evaluation index and the glossiness evaluation index to generate a coating appearance evaluation index.

[0100] As a preferred embodiment of the present invention, the specific method for generating the coating flow velocity evaluation index is as follows:

[0101] Generate a coating flow velocity deviation value based on the coating flow velocity and the near-end point of the standard flow velocity range; the standard flow velocity range refers to the flow velocity range when the chocolate liquid wraps around the walnut kernel under standard working conditions;

[0102] It should be noted that among the two end points of the standard flow velocity range, the end point with a smaller absolute difference from the coating flow velocity;

[0103] Generate a coating flow velocity evaluation index based on the coating flow velocity deviation value and the near-end point of the flow velocity range.

[0104] As a preferred embodiment of the present invention, the expression of the coating analysis model is:

[0105] ;

[0106] In the expression, K represents the coating health prediction index, represents the coating thickness aggregation index, represents the coating flow velocity evaluation index, represents the coating appearance evaluation index, represents the surface flatness of the walnut kernel, and α and β are both weight coefficients, and α + β = 1;

[0107] It should be noted that the values of α and β are set by relevant personnel in the field themselves, and the ways of their values include but are not limited to experimental calibration method, expert consultation method, etc.

[0108] Please refer to Figure 3 , as a preferred embodiment of the present invention, the specific method for generating the surface flatness of the walnut kernel is as follows:

[0109] S11: Scan the surface of the walnut kernel to generate a three-dimensional model of the scanned surface of the walnut kernel;

[0110] It should be noted that the three-dimensional model of the scanned surface of the walnut kernel is generated by scanning the walnut kernel with a laser scanner;

[0111] S12: Obtain the peak height on one side of the groove on the surface of the walnut kernel according to the scanned three-dimensional model of the walnut kernel surface;

[0112] It should be noted that the peak height on one side of the groove on the surface of the walnut kernel refers to the maximum value of the height of one of the two protrusions that form the groove;

[0113] S13: Generate an average height according to the peak heights on both sides of the groove on the surface of the walnut kernel; wherein, the average height refers to the average value of the peak heights on both sides of all the grooves on the surface of the walnut kernel;

[0114] Generate a protrusion height according to the peak height on one side of the groove on the surface of the walnut kernel and the average height; wherein, the protrusion height refers to the difference between the peak heights on both sides of the groove on the surface of the walnut kernel and the average height;

[0115] S14: Generate a surface protrusion evaluation value according to the protrusion height and the middle value of the standard coating thickness range; wherein, the surface protrusion evaluation value refers to the difference between the abnormal protrusion height and the middle value of the standard coating thickness range;

[0116] S15: Compare the protrusion height with the middle value of the standard coating thickness range to classify the protrusion height; wherein, the classification types include normal protrusions and abnormal protrusions;

[0117] Specifically, if the protrusion height is less than or equal to the middle value of the standard coating thickness range, indicating that the protrusion can be covered by the coating, then mark this place as a normal protrusion;

[0118] If the protrusion height is greater than the middle value of the standard coating thickness range, indicating that the protrusion cannot be covered by the coating, then mark this place as an abnormal protrusion;

[0119] S16: Obtain the area occupied by the abnormal protrusions, and generate the surface flatness of the walnut kernel according to the area occupied by the abnormal protrusions and the total surface area of the walnut kernel; wherein, the surface flatness of the walnut kernel refers to the ratio of the difference between the area occupied by the abnormal protrusions and the total surface area of the walnut kernel to the total surface area of the walnut kernel.

[0120] Please refer to Figure 4 , as a preferred embodiment of the present invention, the step S30 specifically includes:

[0121] Compare the coating health prediction index with the coating health prediction index threshold;

[0122] It should be noted that the coating health prediction index threshold is a set value, and its value is set by relevant personnel in the field;

[0123] When the coating health prediction index is less than or equal to the coating health prediction index threshold, it is determined that the coating on the walnut kernel does not have the risk of being unqualified; at this time, the smaller the coating health prediction index, the lower the risk of the coating on the walnut kernel being unqualified.

[0124] When the coating health prediction index is greater than the coating health prediction index threshold, it is determined that the coating on the walnut kernel has the risk of being unqualified; at this time, the larger the coating health prediction index, the higher the risk of the coating on the walnut kernel being unqualified.

[0125] Please refer to Figure 5 , as a preferred embodiment of the present invention, the generation method of the chocolate liquid evaluation index specifically includes the following steps:

[0126] S41: Divide the chocolate liquid into a used area and an area to be used;

[0127] It should be explained that the area division of the chocolate liquid is carried out according to the depth at which the walnut kernel is placed in the chocolate liquid; for example, if the total depth of the chocolate liquid is n and the depth at which the walnut kernel is placed in the chocolate liquid is x, then the depth range of the used area is 0 - x (that is, the depth from the surface of the chocolate liquid to x), and the depth range of the area to be used is x - n;

[0128] S42: Obtain the viscosity value and caking volume of the chocolate liquid in the used area, and generate a raw material evaluation value for the used area;

[0129] S43: Obtain the viscosity value and caking volume of the chocolate liquid in the area to be used, and generate a raw material evaluation value for the area to be used;

[0130] S44: According to the raw material evaluation value of the used area and the raw material evaluation value of the area to be used, establish a coating raw material analysis model and generate a chocolate liquid evaluation index.

[0131] As a preferred embodiment of the present invention, the generation method of the raw material evaluation value of the used area is specifically:

[0132] Generate a chocolate liquid viscosity evaluation index for the used area according to the viscosity value of the chocolate liquid in the used area; wherein, the chocolate liquid viscosity evaluation index of the used area refers to the ratio between the viscosity value of the chocolate liquid in the used area and the viscosity threshold;

[0133] Generate a chocolate liquid caking evaluation index for the used area according to the caking volume of the chocolate liquid in the used area; wherein, the chocolate liquid caking evaluation index of the used area refers to the ratio between the caking volume of the chocolate liquid in the used area and the volume of the chocolate liquid in the used area;

[0134] The viscosity evaluation index of the chocolate liquid in the usage area and the caking evaluation index of the chocolate liquid in the usage area are weighted to generate the raw material evaluation value of the usage area;

[0135] In this embodiment, the caking volume of the chocolate liquid in the usage area can be obtained through the acoustic wave sensor.

[0136] As a preferred embodiment of the present invention, the generation method of the raw material evaluation value of the area to be used is specifically as follows:

[0137] According to the viscosity value of the chocolate liquid in the area to be used, a viscosity evaluation index of the chocolate liquid in the area to be used is generated; wherein, the viscosity evaluation index of the chocolate liquid in the area to be used refers to the ratio between the viscosity value of the chocolate liquid in the area to be used and the viscosity threshold value;

[0138] According to the caking volume of the chocolate liquid in the area to be used, a caking evaluation index of the chocolate liquid in the area to be used is generated; wherein, the caking evaluation index of the chocolate liquid in the area to be used refers to the ratio between the caking volume of the chocolate liquid in the area to be used and the volume of the chocolate liquid in the area to be used;

[0139] The viscosity evaluation index of the chocolate liquid in the area to be used and the caking evaluation index of the chocolate liquid in the area to be used are weighted to generate the raw material evaluation value of the area to be used.

[0140] As a preferred embodiment of the present invention, the expression of the coating raw material analysis model is specifically as follows:

[0141] ;

[0142] In the expression, represents the chocolate liquid evaluation index, represents the raw material evaluation value of the usage area, represents the raw material evaluation value of the area to be used, represents the volume of the chocolate liquid in the area to be used, represents the volume of the chocolate liquid in the usage area.

[0143] As a preferred embodiment of the present invention, the expression of the coating raw material adjustment model is specifically as follows:

[0144] ;

[0145] In the expression, represents the adjustment value of the chocolate liquid production temperature, represents the current chocolate liquid production temperature value, and K represents the coating health prediction index, represents the chocolate liquid evaluation index.

[0146] Please refer to Figure 6 , the present invention also provides a control system for a chocolate walnut food production process, and the system includes:

[0147] A data acquisition module 10, configured to acquire the coating state data of the chocolate liquid on the walnuts and the appearance flatness of the walnuts; wherein, the coating state data includes the coating thickness, the coating appearance characteristics, and the coating flow rate; the coating appearance characteristics include the surface smoothness and the surface gloss;

[0148] A coating health analysis unit 20, configured to establish a coating analysis model and generate a coating health prediction index according to the coating state data;

[0149] A coating health judgment module 30, configured to analyze whether there is a risk of non-compliance of the coating on the walnuts according to the coating health prediction index;

[0150] A raw material analysis unit 40, if the coating on the walnuts has a risk of non-compliance, the raw material analysis unit 40 is configured to acquire the state data of the chocolate liquid, establish a coating raw material analysis model, and generate a chocolate liquid evaluation index; wherein, the state data of the chocolate liquid includes the viscosity value and the caking volume;

[0151] An adjustment analysis module 50, configured to establish a coating raw material adjustment model and generate a chocolate liquid production temperature adjustment value according to the coating health prediction index and the chocolate liquid evaluation index;

[0152] An adjustment control module 60, configured to adjust the working temperature of the chocolate liquid production equipment according to the chocolate liquid production temperature adjustment value.

[0153] Please refer to Figure 7 , as a preferred embodiment of the present invention, the coating health analysis unit specifically includes:

[0154] A thickness analysis module 21, configured to generate a coating thickness aggregation index according to the coating thickness;

[0155] An appearance analysis module 22, configured to generate a coating appearance evaluation index according to the surface smoothness and the surface gloss;

[0156] A flow rate analysis module 23, configured to generate a coating flow rate evaluation index according to the coating flow rate;

[0157] A result output module 24, configured to establish a coating analysis model and generate a coating health prediction index according to the walnut appearance flatness, the coating thickness aggregation index, the coating appearance evaluation index, and the coating flow rate evaluation index.

[0158] Please refer to Figure 8, as a preferred embodiment of the present invention, the raw material analysis unit specifically includes:

[0159] The area division module 41 is used to divide the chocolate liquid into an area in use and an area to be used;

[0160] The area-in-use analysis module 42 is used to obtain the viscosity value and the agglomerate volume of the chocolate liquid in the area in use, and generate a raw material evaluation value for the area in use;

[0161] The area-to-be-used analysis module 43 is used to obtain the viscosity value and the agglomerate volume of the chocolate liquid in the area to be used, and generate a raw material evaluation value for the area to be used;

[0162] The evaluation module 44 is used to establish a coating raw material analysis model according to the raw material evaluation value of the area in use and the raw material evaluation value of the area to be used, and generate a chocolate liquid evaluation index.

[0163] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A control method for the production process of a chocolate walnut food, characterized in that, It includes the following steps: Obtain the coating state data of the chocolate liquid on the walnut kernels and the appearance flatness of the walnut kernels; among them, the coating state data includes the coating thickness, the coating appearance characteristics, and the coating flow rate; the coating appearance characteristics include the surface smoothness and the surface glossiness; According to the coating state data, establish a coating analysis model and generate a coating health prediction index; According to the coating health prediction index, analyze whether there is a risk of non - compliance for the coating on the walnut kernels; If there is a risk of non - compliance for the coating on the walnut kernels, obtain the state data of the chocolate liquid, establish a coating raw material analysis model, and generate a chocolate liquid evaluation index; among them, the state data of the chocolate liquid includes the viscosity value and the caking volume; According to the coating health prediction index and the chocolate liquid evaluation index, establish a coating raw material adjustment model and generate a chocolate liquid production temperature adjustment value; According to the chocolate liquid production temperature adjustment value, adjust the working temperature of the chocolate liquid production equipment.

2. The control method of a chocolate walnut food production process according to claim 1, characterized in that, The specific method for generating the coating health prediction index includes the following steps: Generate a coating thickness aggregation index according to the coating thickness; Generate a coating appearance evaluation index according to the surface smoothness and the surface glossiness; Generate a coating flow rate evaluation index according to the coating flow rate; According to the appearance flatness of the walnut kernels, the coating thickness aggregation index, the coating appearance evaluation index, and the coating flow rate evaluation index, establish a coating analysis model and generate a coating health prediction index.

3. The control method of a chocolate walnut food production process according to claim 2, characterized in that, The specific method for generating the coating thickness aggregation index is as follows: Generate a thickness deviation value according to the coating thickness and the thickness standard range; among them, the thickness deviation value refers to the difference between the coating thickness and the nearer endpoint of the thickness standard range; the coating thickness refers to the average thickness of the coating on the walnut kernels; Generate a coating thickness aggregation index according to the thickness deviation value and the thickness standard range; among them, the coating thickness aggregation index refers to the ratio of the thickness deviation value to the nearer endpoint of the thickness standard range.

4. The control method of a chocolate walnut food production process according to claim 2, characterized in that, The specific method for generating the coating appearance evaluation index is as follows: Generate a smoothness evaluation index according to the surface smoothness and the smoothness threshold; among them, the smooth evaluation index refers to the ratio of the surface smoothness to the smoothness threshold; the smoothness threshold refers to the minimum smoothness of the coating surface in the production requirements; Generate a glossiness evaluation index according to the surface glossiness and the glossiness threshold; among them, the glossiness evaluation index refers to the ratio of the surface glossiness to the glossiness threshold; the glossiness threshold refers to the minimum glossiness of the coating surface in the production requirements; Perform a weighted process on the smoothness evaluation index and the glossiness evaluation index to generate a coating appearance evaluation index.

5. The control method of a chocolate walnut food production process according to claim 2, characterized in that, The specific method for generating the coating flow rate evaluation index is as follows: Generate a coating flow rate deviation value according to the coating flow rate and the nearer endpoint of the standard flow rate range; the standard flow rate range refers to the flow rate range when the chocolate liquid wraps the walnut kernels under standard working conditions; Generate a coating flow rate evaluation index according to the coating flow rate deviation value and the nearer endpoint of the flow rate range.

6. The control method of a chocolate walnut food production process according to claim 2, characterized in that, The expression of the coating analysis model is: ； In the expression, K represents the coating health prediction index, represents the coating thickness aggregation index, represents the coating flow velocity evaluation index, represents the coating appearance evaluation index, represents the walnut kernel appearance flatness, where α and β are both weight coefficients and α + β = 1.

7. A control method for the production process of a chocolate walnut food according to claim 2, characterized in that, The specific method for generating the appearance flatness of the walnut kernels is as follows: Scan the surface of the walnut kernels to generate a three - dimensional model of the scanned surface of the walnut kernels; Based on the three-dimensional scanned model of the walnut kernel surface, obtain the peak height on one side of the groove on the walnut kernel surface; Generate an average height based on the peak heights on both sides of the groove on the walnut kernel surface; wherein, the average height refers to the average value of the peak heights on both sides of all the grooves on the walnut kernel surface; Generate a protrusion height based on the peak height on one side of the groove on the walnut kernel surface and the average height; wherein, the protrusion height refers to the difference between the peak heights on both sides of the groove on the walnut kernel surface and the average height; Generate a surface protrusion evaluation value based on the protrusion height and the median value of the standard coating thickness range; wherein, the surface protrusion evaluation value refers to the difference between the abnormal protrusion height and the median value of the standard coating thickness range; Compare the protrusion height with the median value of the standard coating thickness range; If the protrusion height is less than or equal to the median value of the standard coating thickness range, indicating that the protrusion can be covered by the coating, mark this place as a normal protrusion; If the protrusion height is greater than the median value of the standard coating thickness range, indicating that the protrusion cannot be covered by the coating, mark this place as an abnormal protrusion; Obtain the area occupied by the abnormal protrusions, and generate the appearance flatness of the walnut kernel based on the area occupied by the abnormal protrusions and the total surface area of the walnut kernel; wherein, the appearance flatness of the walnut kernel refers to the ratio of the difference between the area occupied by the abnormal protrusions and the total surface area of the walnut kernel to the total surface area of the walnut kernel.

8. A control method for the production process of a chocolate walnut food according to claim 1, characterized in that, The generation method of the chocolate liquid evaluation index specifically includes the following steps: Divide the chocolate liquid into a used area and an area to be used; Obtain the viscosity value and the caking volume of the chocolate liquid in the used area, and generate a raw material evaluation value for the used area; Obtain the viscosity value and the caking volume of the chocolate liquid in the area to be used, and generate a raw material evaluation value for the area to be used; Establish a coating raw material analysis model based on the raw material evaluation value of the used area and the raw material evaluation value of the area to be used, and generate a chocolate liquid evaluation index; Among them, the generation method of the raw material evaluation value of the used area is specifically as follows: Generate a chocolate liquid viscosity evaluation index for the used area based on the viscosity value of the chocolate liquid in the used area; wherein, the chocolate liquid viscosity evaluation index for the used area refers to the ratio of the viscosity value of the chocolate liquid in the used area to the viscosity threshold; Generate a chocolate liquid caking evaluation index for the used area based on the caking volume of the chocolate liquid in the used area; wherein, the chocolate liquid caking evaluation index for the used area refers to the ratio of the caking volume of the chocolate liquid in the used area to the volume of the chocolate liquid in the used area; Perform a weighted process on the chocolate liquid viscosity evaluation index of the used area and the chocolate liquid caking evaluation index of the used area to generate a raw material evaluation value for the used area; Among them, the generation method of the raw material evaluation value of the area to be used is specifically as follows: Generate a chocolate liquid viscosity evaluation index for the area to be used based on the viscosity value of the chocolate liquid in the area to be used; wherein, the chocolate liquid viscosity evaluation index for the area to be used refers to the ratio of the viscosity value of the chocolate liquid in the area to be used to the viscosity threshold; Generate a caking evaluation index for the chocolate liquid in the area to be used according to the caking volume of the chocolate liquid in the area to be used; wherein, the caking evaluation index of the chocolate liquid in the area to be used refers to the ratio between the caking volume of the chocolate liquid in the area to be used and the volume of the chocolate liquid in the area to be used; Perform a weighted process on the viscosity evaluation index of the chocolate liquid in the area to be used and the caking evaluation index of the chocolate liquid in the area to be used to generate a raw material evaluation value for the area to be used; Among them, the expression of the coating raw material analysis model is specifically: ； In the expression, represents the chocolate liquor evaluation index, represents the raw material evaluation value of the used area, represents the raw material evaluation value of the area to be used, represents the volume of chocolate liquor in the area to be used, represents the volume of chocolate liquor in the used area.

9. The control method of a chocolate walnut food production process according to claim 1, characterized in that, The expression of the coating raw material adjustment model is specifically: ； In the expression, represents the adjusted value of the production temperature of the chocolate liquid, represents the current production temperature value of the chocolate liquid, and K represents the coating health prediction index, represents the chocolate liquid evaluation index.

10. A control system for the production process of a chocolate walnut food, characterized in that, This system is used to execute the control method of the chocolate walnut food production process described in any one of claims 1-9. This system includes: A data acquisition module, configured to acquire the coating state data of the chocolate liquid on the walnuts and the appearance flatness of the walnuts; wherein, the coating state data includes the coating thickness, the coating appearance characteristics, and the coating flow rate; the coating appearance characteristics include the surface smoothness and the surface gloss; A coating health analysis unit, configured to establish a coating analysis model and generate a coating health prediction index according to the coating state data; A coating health judgment module, configured to analyze whether there is a risk of non-conformity in the coating on the walnuts according to the coating health prediction index; A raw material analysis unit. If there is a risk of non-conformity in the coating on the walnuts, the raw material analysis unit is configured to acquire the state data of the chocolate liquid, establish a coating raw material analysis model, and generate a chocolate liquid evaluation index; wherein, the state data of the chocolate liquid includes the viscosity value and the caking volume; An adjustment analysis module, configured to establish a coating raw material adjustment model and generate a chocolate liquid production temperature adjustment value according to the coating health prediction index and the chocolate liquid evaluation index; An adjustment control module, configured to adjust the working temperature of the chocolate liquid production equipment according to the chocolate liquid production temperature adjustment value.

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