Puffed food production line real-time monitoring management system based on big data

Abstract

The invention discloses a puffed food production line real-time monitoring management system based on big data, which comprises a data acquisition module, a production line analysis module, a debris prediction module and an adjustment control module, and is characterized in that the data acquisition module is used for systematically collecting related information of production equipment; the production line analysis module is used for analyzing a production line of the transmitted product; the chipping prediction module is used for evaluating the product crushing probability; the adjustment control module is used for adjusting the production line; according to the invention, real-time monitoring is carried out on the transportation process of the puffed food production line, the collision force generated by the products on the conveyor belt is analyzed, and the safety degree of the target products in the production line is judged; the probability that products are broken in the conveying process of the conveying belt is monitored, production line parameters are adjusted through the adjusting control module, the problem that the product word-of-mouth declines due to the fact that the product breakage rate is too high is solved to a great extent, and the device has the advantages of being high in product quality and high in monitoring precision.

Description

Technical Field

[0001] The present invention relates to the technical field of production line management, and in particular to a real-time monitoring and management system for a puffed food production line based on big data. Background Art

[0002] In today's industrial production, electricity consumption accounts for one of the main costs. In order to achieve efficient energy management, reduce operating costs, and improve production safety, factories need to build a comprehensive real-time monitoring and management system for production lines. Through the real-time monitoring and management system set up in the production line, not only can detailed operation data of the production line be obtained at any time to optimize production plans, but also production efficiency and machine effectiveness can be improved, electricity costs can be reduced, and accurate data support can be provided.

[0003] In the production line of puffed food, there are many types of food, complex ingredients, and many production and manufacturing links. Especially in the peak season when there are many food orderers, the production company has sales requirements for the products, and the production line runs at a fast speed. Even companies like Lay's with very mature production technology will inevitably have food stacking and squeezing during the production process, which makes it inevitable that some foods will be broken, which can easily reduce the reputation of the brand. In the existing technology, the production line monitoring system still lacks effective detection means to regulate and control the problem of puffed food breakage during the rapid production and transmission of the production line. Therefore, it is very necessary to design a real-time monitoring and management system for puffed food production lines based on big data with high product quality and high monitoring accuracy. Summary of the invention

[0004] The purpose of the present invention is to provide a real-time monitoring and management system for a puffed food production line based on big data to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a real-time monitoring and management system for a puffed food production line based on big data, comprising a data acquisition module, a production line analysis module, a debris prediction module and an adjustment control module, wherein the data acquisition module is used to systematically collect relevant information of production equipment; the production line analysis module is used to analyze the production line of the transmission product; the debris prediction module is used to evaluate the probability of product breakage; and the adjustment control module is used to adjust the production line;

[0006] The production line analysis module includes a conveyor belt analysis module, which analyzes the collision force of the target product on the conveyor belt of the production equipment transmission pipeline;

[0007] The debris prediction module includes: a compression force analysis module and a collision force analysis module. The compression force analysis module is used to estimate the probability of target product crushing caused by compression force; the collision force analysis module is used to analyze whether collision between target products may cause target products to crush;

[0008] The compression force analysis module includes: a stacking analysis submodule and an extrusion analysis submodule. The stacking analysis submodule estimates the probability of a target product being broken due to stacking of multiple target products; the extrusion analysis submodule estimates the probability of a target product being broken due to mutual extrusion of target products.

[0009] According to the above technical solution, the data acquisition module includes a product data collection module and an equipment data collection module. The product data collection module is used to obtain the vulnerability of the target product; the equipment data collection module is used to obtain relevant parameters of the production equipment. The equipment data collection module includes a transmission data submodule and a pipeline data submodule. The transmission data submodule is used to obtain relevant information of the conveyor belt of the production line; the pipeline data submodule is used to obtain parameters of the pipeline of the production equipment.

[0010] According to the above technical solution, the production line analysis module also includes a pause time analysis module and a camera module. The pause time analysis module is used to analyze the flow of the target product in the transmission process; the camera module is used to photograph the transmission pipeline of the production equipment.

[0011] According to the above technical solution, the adjustment control module includes a production line adjustment module and a product transmission volume control module. The production line diagram adjustment module is used to adjust the transmission speed of the production line in real time; the product transmission volume control module is used to control the number of target products transmitted by the output pipeline.

[0012] According to the above technical solution, the operation method of the production line real-time monitoring and management system mainly includes the following steps:

[0013] Step S1: The data acquisition module obtains the relevant information of the food production line, the product data collection module obtains the product information produced on the day, and the limit value of the target products not being broken when they collide with each other is M; the equipment data collection module obtains the conveyor belt speed of the production equipment as V and the safe speed of the conveyor belt as E through the transmission data submodule, and obtains the parameters of the pipeline of the production equipment through the pipeline data submodule;

[0014] Step S2: The production line analysis module uses the production line related information stored in the data acquisition module, and the camera module captures the scene of the target product transportation in the transmission process, and obtains the angle between the production equipment transmission process pipeline and the plane as X°; the pause time analysis module analyzes the number of target products input from the conveyor belt entrance within the interval time through the transportation picture;

[0015] Step S3: The conveyor belt analysis module obtains the conveyor belt information of the transmission process pipeline of the production equipment, and analyzes the collision force of the target product in the transmission pipeline affected by the conveyor belt speed;

[0016] Step S4: The debris prediction module extracts parameter information of the production equipment in the production line analysis module and analyzes the possibility of the target product being broken during the conveyor belt transportation time;

[0017] Step S5: the compression force analysis module estimates the compression force of the target product, leading to an estimated probability of breakage of the target product, and transmits the breakage ratio information to the adjustment control module;

[0018] Step S6: The collision force analysis module estimates the probability of target products being broken due to collision between each other, and transmits the breakage ratio information to the adjustment control module;

[0019] Step S7: The adjustment control module receives the crushing ratio information sent by the compression force analysis module and the collision force analysis module respectively, and adjusts the operation rate of the production line through the production line adjustment module; at the same time, the product transmission volume control module outputs information to the system to reduce the transportation volume of the product through the pipeline.

[0020] According to the above technical solution, in step S2, the pause time analysis submodule obtains that after the conveyor belt of the pipeline conveys the target product for A seconds, the system controls the conveyor belt to stop advancing for B seconds, wherein A>B, the target product is in the normal transmission stage within A seconds, and stacking and squeezing occur within B seconds after the baffle is erected; at the same time, the camera module analyzes that the target product amount transmitted from the conveyor belt entrance per second is K, and the target product amount transmitted following the conveyor belt per second is Z 1 .

[0021] According to the above technical solution, in step S3, the additional collision force generated by the conveyor belt Where m is the mass of a single target product and g is the acceleration of gravity.

[0022] According to the above technical solution, in step S5, if the conveyor belt speed V of the equipment is lower than the safe conveyor belt speed E, the pressure of the target product on the baffle by the target product on the rear conveyor belt can be ignored, so only the pressure on the target product under the stacking is considered; the stacking analysis submodule calculates the pressure on the target product at the bottom layer of the stacking. When the target products on the conveyor belt are stacked, the number of target products stacked per unit area at the end of the conveyor belt is Where μ is the target product stacking index, δ is the unit conversion parameter, and the calculated result of Z is rounded to an integer. Then, the probability of the nth layer of target products being squeezed and broken from top to bottom in the stacked target products is Where n is a positive integer and n≤Z, λ 1 It is a superposition parameter, and its value is determined by the flexibility of the target product, 0<λ 1 <1, the probability of target product being broken at the nth layer η(n)=L(n), if the result is less than or equal to (1-target product integrity qualified rate Ω), the production line speed is determined to be qualified; if the result is greater than (1-target product integrity qualified rate Ω), the production line speed is determined to be unqualified, and the information is transmitted to the regulation control module;

[0023] If the conveyor belt speed V of the equipment is higher than the conveyor belt safety speed E, the pressure of the target product of the rear conveyor belt on the target product at the baffle should also be considered. The extrusion analysis submodule calculates the pressure of the target product of the rear conveyor belt on the target product at the baffle. When the baffle is erected, the target product of the rear conveyor belt squeezes the target product at the baffle. Through data analysis, the number of target products per unit area of ​​the baffle is Q, and Q is a positive integer. Then, among the squeezed target products, the probability of the i-th target product being squeezed and broken from the conveyor belt entrance to the conveyor belt end is Where i is a positive integer and i≤Q, λ 2 is the extrusion parameter, the value is determined by the flexibility of the target product, 0<λ 2 <0.2, the probability of the target product in the nth layer and the i-th piece being broken is If the result is less than or equal to (1-target product integrity qualified rate Ω), the production line speed is determined to be qualified; if the result is greater than (1-target product integrity qualified rate Ω), the production line speed is determined to be unqualified and the information is transmitted to the adjustment control module.

[0024] According to the above technical solution, in step S6, the collision force analysis module calculates the probability of the target product being broken by the collision. Since the transmission speed of the target product following the conveyor belt is different from the actual speed of the target product flying out, the flying target product will exert a collision force of f on the target product following the conveyor belt. 1 , then the single collision force f on a target product is u =fe +f 1 , the total collision force received by all target products If the total collision force F>M, it is determined that the collision force received by the target product is too large; if the total collision force F≤M, it is determined that the collision force received by the target product is normal.

[0025] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, through the real-time monitoring and management system of the production line, performs real-time monitoring on the transportation process of the puffed food production line, analyzes the collision force generated by the product on the conveyor belt through the production line analysis module, and judges the safety of the target product in the production line through the collision force analysis module; at the same time, the stacking analysis submodule and the extrusion analysis submodule monitor the probability of the product being broken during conveyor belt transportation, and adjusts the production line parameters through the adjustment control module, which greatly avoids the problem of the product reputation declining due to the high product breakage rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0027] In the attached picture:

[0028] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] See also Figure 1 The present invention provides a technical solution: a real-time monitoring and management system for a puffed food production line based on big data, comprising:

[0031] Data acquisition module, production line analysis module, debris prediction module and adjustment control module. The data acquisition module is used to systematically collect relevant information of production equipment; the production line analysis module is used to analyze the production line of the transmission product; the debris prediction module is used to evaluate the probability of product breakage; and the adjustment control module is used to adjust the production line;

[0032] The production line analysis module includes a conveyor belt analysis module, which analyzes the collision force of the target product on the conveyor belt of the production equipment transmission pipeline;

[0033] The debris prediction module includes: a compression force analysis module and a collision force analysis module. The compression force analysis module is used to estimate the probability of target product breakage caused by compression force on the target product; the collision force analysis module is used to analyze whether collision between target products may cause target products to break;

[0034] The compression force analysis module includes: a stacking analysis submodule and an extrusion analysis submodule. The stacking analysis submodule estimates the probability of a target product being broken due to stacking of multiple target products; the extrusion analysis submodule estimates the probability of a target product being broken due to mutual extrusion of target products.

[0035] The present invention monitors the transportation process of the puffed food production line in real time through the real-time monitoring and management system of the production line, analyzes the collision force generated by the product on the conveyor belt through the production line analysis module, and judges the safety of the target product in the production line through the collision force analysis module; at the same time, the stacking analysis submodule and the extrusion analysis submodule monitor the probability of the product being broken during the conveyor belt transportation, and adjusts the production line parameters through the adjustment control module, which greatly avoids the problem of the product reputation declining due to the high product breakage rate.

[0036] The data acquisition module includes a product data collection module and an equipment data collection module. The product data collection module is used to obtain the fragility of the target product and the amount of force required to break it. The equipment data collection module is used to obtain relevant parameters of the production equipment. The equipment data collection module includes a transmission data submodule and a pipeline data submodule. The transmission data submodule is used to obtain relevant information about the conveyor belt of the production line. The pipeline data submodule is used to obtain parameters of the pipeline of the production equipment.

[0037] The production line analysis module also includes a pause time analysis module and a camera module. The pause time analysis module is used to analyze the flow of target products in the transmission process; the camera module is used to shoot the transmission pipeline of the production equipment.

[0038] The regulation control module includes a production line regulation module and a product transmission volume control module. The production line diagram adjustment module is used to adjust the transmission speed of the production line in real time; the product transmission volume control module is used to control the number of target products transmitted by the output pipeline.

[0039] In a preferred embodiment, the operation method of the production line real-time monitoring and management system mainly includes the following steps:

[0040] Step S1: The data acquisition module obtains the relevant information of the food production line and the quantity of products that need to be produced on the day. The product data collection module obtains the product information produced on the day. The limit value of the target products that do not break when they collide with each other is M; the equipment data collection module obtains the conveyor belt speed of the production equipment as V and the safe speed of the conveyor belt as E through the transmission data submodule, and obtains the parameters of the pipeline of the production equipment through the pipeline data submodule;

[0041] Step S2: The production line analysis module uses the production line related information stored in the data acquisition module, and the camera module captures the scene of the target product transportation in the transmission process, and obtains the angle between the production equipment transmission process pipeline and the plane as X°; the pause time analysis module analyzes the number of target products input from the conveyor belt entrance within the interval time through the transportation picture;

[0042] Step S3: The conveyor belt analysis module obtains the conveyor belt information of the transmission process pipeline of the production equipment, and analyzes the collision force of the target product in the transmission pipeline affected by the conveyor belt speed;

[0043] Step S4: The debris prediction module extracts parameter information of the production equipment in the production line analysis module, and analyzes the possibility of the target product being broken during the conveyor belt transportation time; the force sources that cause the target product to be broken are divided into compression force and collision force.

[0044] Step S5: the compression force analysis module estimates the compression force of the target product, leading to an estimated probability of breakage of the target product, and transmits the breakage ratio information to the adjustment control module;

[0045] Step S6: The collision force analysis module estimates the probability of target products being broken due to collision between each other, and transmits the breakage ratio information to the adjustment control module;

[0046] Step S7: The adjustment control module receives the crushing ratio information sent by the compression force analysis module and the collision force analysis module respectively, and adjusts the operation rate of the production line through the production line adjustment module; at the same time, the product transmission volume control module outputs information to the system to reduce the transportation volume of the product through the pipeline.

[0047] In step S2 of the present embodiment, the pause time analysis submodule obtains that after the conveyor belt of the pipeline conveys the target product for A seconds, the system controls the conveyor belt to stop advancing for B seconds, wherein A>B, the target product in the conveyor belt will not be accumulated when the conveyor belt is working, the conveyor belt transport pipeline of the production equipment is inclined, and a baffle is provided at the end of the conveyor belt, the target product is in a normal transmission stage within A seconds, and stacking and squeezing occur within B seconds after the baffle is erected; at the same time, the camera module analyzes that the amount of target product transmitted from the conveyor belt entrance per second is K, and the amount of target product transmitted following the conveyor belt per second is Z 1 .

[0048] In step S3 of this embodiment, the additional collision force generated by the conveyor belt Where m is the mass of a single target product, g is the acceleration of gravity. The range of slope X is 0°≤X≤30°. mgsinX is the gravity component of a single target product on the conveying slope, It is the acceleration ratio of the additional collision force. The faster the conveyor belt speed is, the greater the additional collision force is; the slower the conveyor belt speed is, the smaller the additional collision force is.

[0049] In step S5 of this embodiment, if the conveyor belt speed V of the equipment is lower than the conveyor belt safety speed E, the pressure of the target product on the baffle by the target product on the rear conveyor belt can be ignored, so only the pressure on the target product under the stack is considered; the stacking analysis submodule calculates the pressure on the target product at the bottom of the stack. When the target products on the conveyor belt are stacked, the number of target products stacked per unit area at the end of the conveyor belt is Where μ is the target product stacking index and δ is the unit conversion parameter. is the target amount of products flying out per unit area of ​​the conveyor belt per second, It is the total amount of target products that fly out within B seconds when the conveyor stops at the end of the conveyor per unit area.

[0050] From a macroscopic perspective, the flying target products fall almost evenly onto the target products following the conveyor belt, and move forward in a decreasing order under the vibration of the conveyor belt. The power function can represent the trend of the number of target products decreasing with the operation of the conveyor belt. To represent the number of target products that fly out after the conveyor belt stops for B seconds per unit area. The calculated result of Z is rounded to an integer, and the probability of the nth layer of target products being squeezed and broken from top to bottom in the stack of target products is Where n is a positive integer and n≤Z, λ 1 It is a superposition parameter, and its value is determined by the flexibility of the target product, 0<λ 1 <1, the probability of the target product on the nth layer being broken η(n)=L(n), if the result is less than or equal to (1-target product integrity qualified rate Ω), the production line speed is determined to be qualified; if the result is greater than (1-target product integrity qualified rate Ω), the production line speed is determined to be unqualified, and the information is transmitted to the adjustment control module; when n=1, the target product on the top layer of the conveyor belt is not squeezed, and the probability of breaking is 0; when n=2, the target product on the second layer of the conveyor belt is squeezed with the least force, at this time When n = Z, the target product at the bottom of the conveyor belt is squeezed with the greatest force and has the greatest probability of breaking. At this time, L(Z) = λ 1 ;

[0051] If the conveyor belt speed V of the equipment is higher than the conveyor belt safety speed E, the pressure of the target product of the rear conveyor belt on the target product at the baffle should also be considered. The extrusion analysis submodule calculates the pressure of the target product of the rear conveyor belt on the target product at the baffle. When the baffle is erected, the target product of the rear conveyor belt squeezes the target product at the baffle. Through data analysis and statistics, the number of target products per unit area of ​​the baffle is Q, Q is a positive integer, then the probability of the i-th target product being squeezed and broken from the conveyor belt entrance to the conveyor belt end among the squeezed target products is P(i)= Where i is a positive integer and i≤Q, λ 2 is the extrusion parameter, the value is determined by the flexibility of the target product, 0<λ 2 <0.2, the value of P(i) is also affected by the speed of the conveyor belt. The higher the speed V of the conveyor belt, the greater the probability of breakage. to represent the influence index of conveyor belt speed on P(i); when i=1, the target product at the conveyor belt inlet is not squeezed and the probability of breakage is 0; when i=2, the target product on the second layer of the conveyor belt inlet is squeezed with the least force. When i=Q, the target product at the bottom of the conveyor belt is squeezed with the greatest force and has the greatest probability of breaking. The probability of the target product in the nth layer and the i-th piece being broken is not simply a linear superposition of the probability of breaking. Specifically, If the result is less than or equal to (1-target product integrity qualified rate Ω), the production line speed is determined to be qualified; if the result is greater than (1-target product integrity qualified rate Ω), the production line speed is determined to be unqualified and the information is transmitted to the adjustment control module.

[0052] It takes a certain amount of time to package the target product under the conveyor belt device, so it is necessary to have a certain pause interval when the conveyor belt conveys the target product; but on the other hand, the target product is prone to stacking and squeezing when the conveyor belt of the production equipment stops transmitting. The longer the stacking and squeezing time, the greater the possibility of the target product being broken, while the target product is less likely to be broken when running on the conveyor belt. The target product in the conveyor belt should be allowed to enter the packaging device as soon as possible while ensuring the normal progress of the packaging procedure, so as to effectively reduce the debris of the target product.

[0053] In step S6 of this embodiment, the collision force analysis module calculates the probability of the target product being broken by the collision. Since the transmission speed of the target product following the conveyor belt is different from the actual speed of the target product flying out, the flying target product will exert a collision force of f on the target product following the conveyor belt. 1 , then the single collision force f on a target product is u =f e +f 1, f u The collision force of the u-th target product on another target product, the total collision force received by all target products If the total collision force F>M, it is determined that the collision force received by the target product is too large; if the total collision force F≤M, it is determined that the collision force received by the target product is normal.

[0054] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0055] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A real-time monitoring and management system for a puffed food production line based on big data, characterized in that: It includes a data acquisition module, a production line analysis module, a debris prediction module and an adjustment control module. The data acquisition module is used to systematically collect relevant information of production equipment; the production line analysis module is used to analyze the production line of the transmission product; the debris prediction module is used to evaluate the probability of product breakage; and the adjustment control module is used to adjust the production line; The production line analysis module includes a conveyor belt analysis module, which analyzes the collision force of the target product on the conveyor belt of the production equipment transmission pipeline; The debris prediction module includes: a compression force analysis module and a collision force analysis module. The compression force analysis module is used to estimate the probability of the target product being crushed due to the compression force; the collision force analysis module is used to analyze whether collision between target products may cause the target product to be crushed; The compression force analysis module includes: a stacking analysis submodule and an extrusion analysis submodule. The stacking analysis submodule estimates the probability of a target product being broken due to stacking of multiple target products; the extrusion analysis submodule estimates the probability of a target product being broken due to extrusion between target products. The data acquisition module includes a product data collection module and an equipment data collection module. The product data collection module is used to obtain the vulnerability of the target product; the equipment data collection module is used to obtain relevant parameters of the production equipment. The equipment data collection module includes a transmission data submodule and a pipeline data submodule. The transmission data submodule is used to obtain relevant information of the conveyor belt of the production line; the pipeline data submodule is used to obtain parameters of the pipeline of the production equipment; The production line analysis module also includes a pause time analysis module and a camera module. The pause time analysis module is used to analyze the flow of the target product in the transmission process; the camera module is used to photograph the transmission pipeline of the production equipment; The regulation control module includes a production line regulation module and a product transmission volume control module. The production line map adjustment module is used to adjust the transmission speed of the production line in real time; the product transmission volume control module is used to control the number of target products transmitted by the output pipeline; The operation method of the production line real-time monitoring and management system mainly includes the following steps: Step S1: The data acquisition module obtains the relevant information of the food production line, the product data collection module obtains the product information produced on the day, and the limit value of the target products not being broken when they collide with each other is M; the equipment data collection module obtains the conveyor belt speed of the production equipment as V and the safe speed of the conveyor belt as E through the transmission data submodule, and obtains the parameters of the pipeline of the production equipment through the pipeline data submodule; Step S2: The production line analysis module uses the production line related information stored in the data acquisition module, and the camera module captures the scene of the target product transportation in the transmission process, and obtains the angle between the production equipment transmission process pipeline and the plane as X°; the pause time analysis module analyzes the number of target products input from the conveyor belt entrance within the interval time through the transportation picture; Step S3: The conveyor belt analysis module obtains the conveyor belt information of the transmission process pipeline of the production equipment, and analyzes the collision force of the target product in the transmission pipeline affected by the conveyor belt speed; Step S4: The debris prediction module extracts parameter information of the production equipment in the production line analysis module and analyzes the possibility of the target product being broken during the conveyor belt transportation time; Step S5: the compression force analysis module estimates the compression force of the target product, leading to an estimated probability of breakage of the target product, and transmits the breakage ratio information to the adjustment control module; Step S6: The collision force analysis module estimates the probability of target products being broken due to collision between each other, and transmits the breakage ratio information to the adjustment control module; Step S7: the adjustment control module receives the problem information and adjusts the operation rate of the production line through the production line adjustment module; at the same time, the product transmission volume control module outputs information to the system to reduce the transportation volume of the product through the pipeline; In step S2, the pause time analysis submodule obtains that after the conveyor belt of the pipeline conveys the target product for A seconds, the system controls the conveyor belt to stop advancing for B seconds, wherein A>B, the target product is in the normal transmission stage within A seconds, and stacking and squeezing occur within B seconds after the baffle is erected; at the same time, the camera module analyzes that the target product amount transmitted from the conveyor belt entrance per second is K, and the target product amount transmitted following the conveyor belt per second is Z1; In step S5, if the conveyor belt speed V of the equipment is lower than the conveyor belt safety speed E, the pressure of the target product on the baffle by the target product on the rear conveyor belt can be ignored, so only the pressure on the target product under the stacking is considered; the stacking analysis submodule calculates the pressure on the target product at the bottom of the stacking. When the target products on the conveyor belt are stacked, the number of target products stacked per unit area at the end of the conveyor belt is Where μ is the target product stacking index, δ is the unit conversion parameter, and the calculated result of Z is rounded to an integer. Then, the probability of the nth layer of target products being squeezed and broken from top to bottom in the stacked target products is Where n is a positive integer and n≤Z, λ1 is a superposition parameter, the value of which is determined by the flexibility of the target product, 0<λ1<1, the probability of the target product in the nth layer being broken η(n)=L(n), if the result is less than or equal to (1-target product integrity qualified rate Ω), the production line speed is determined to be qualified; if the result is greater than (1-target product integrity qualified rate Ω), the production line speed is determined to be unqualified, and the information is transmitted to the adjustment control module; If the conveyor belt speed V of the equipment is higher than the conveyor belt safety speed E, the pressure of the target product of the rear conveyor belt on the target product at the baffle should also be considered. The extrusion analysis submodule calculates the pressure of the target product of the rear conveyor belt on the target product at the baffle. When the baffle is erected, the target product of the rear conveyor belt squeezes the target product at the baffle. Through data analysis, the number of target products per unit area of ​​the baffle is Q, and Q is a positive integer. Then, among the squeezed target products, the probability of the i-th target product being squeezed and broken from the conveyor belt entrance to the conveyor belt end is Where i is a positive integer and i≤Q, λ2 is an extrusion parameter whose value is determined by the flexibility of the target product, 0<λ2<0.2, and the probability of the target product in the nth layer and the i-th piece breaking is If the result is less than or equal to (1-target product integrity qualified rate Ω), the production line speed is determined to be qualified; if the result is greater than (1-target product integrity qualified rate Ω), the production line speed is determined to be unqualified and the information is transmitted to the adjustment control module.

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