Big data-based instant food production line real-time monitoring management system

Abstract

The application discloses a kind of based on big data's puffed food production line real-time monitoring management system, including data acquisition module, production line analysis module, scrap prediction module and adjustment control module, data acquisition module is used for system to collect the relevant information of production equipment;Production line analysis module is used to analyze the production line of transmission product;Scrap prediction module is used to evaluate the probability of product breaking;Adjustment control module is used to adjust production line;The application is monitored in real time by the production line transportation process of puffed food, the collision force generated by product on conveyor belt is analyzed, and the safety degree of target product in production line is judged;The probability of product breaking in conveyor belt transportation is monitored, and the production line parameters are adjusted by adjustment control module, greatly avoid the problem that product reputation declines due to too high product breaking rate.The application has the characteristics of high product quality and high monitoring accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of production line management, in particular to a puffing food production line real-time monitoring management system based on big data. BACKGROUND

[0002] In today's industrial production, power consumption accounts for one of the main costs, in order to achieve efficient energy management, reduce operating costs, improve production safety, the factory needs to build a comprehensive production line real-time monitoring management system. Through the real-time monitoring management system set in the production line, not only can the detailed running data of the production line be obtained at any time, the production plan can be optimized, the production efficiency and machine performance can be improved, the power cost can be reduced, and accurate data support can be provided.

[0003] In the production line of making puffing food, the production types of food are various, the ingredients are complex, and the production and manufacturing links are numerous, especially in the peak season when there are many food ordering customers, because the production company has the sales volume requirement of products, the running speed of the production line is fast, even for a company like Lekker whose production technology is very mature, it is difficult to avoid the situation of food stacking and extrusion in the production running process, which leads to the problem that a part of the food is broken and cannot be avoided, which easily makes the reputation of the brand decline. In the prior art, the production line monitoring system still lacks effective detection means for adjusting and controlling the puffing food breaking problem in the fast production and transmission process of the production line. Therefore, it is necessary to design a puffing food production line real-time monitoring management system based on big data, which has high product quality and high monitoring accuracy. SUMMARY

[0004] The purpose of the present application is to provide a puffing food production line real-time monitoring management system based on big data to solve the problems raised in the background art.

[0005] In order to solve the above technical problems, the present application provides the following technical scheme: a puffing food production line real-time monitoring management system based on big data, comprising a data acquisition module, a production line analysis module, a debris prediction module and an adjusting and controlling module, the data acquisition module is used for the system to collect relevant information of production equipment; the production line analysis module is used for analyzing the production line of the transmission product; the debris prediction module is used for evaluating the probability of product breaking; the adjusting and controlling module is used for adjusting the production line;

[0006] The production line analysis module comprises 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 comprises a compression force analysis module and a collision force analysis module, the compression force analysis module is used for estimating the probability of the estimated target product breaking caused by the compression force of the target product; and the collision force analysis module is used for analyzing whether the collision between the target products can cause the target products to break.

[0008] The compression force analysis module comprises a stacking analysis submodule and a squeezing analysis submodule, the stacking analysis submodule estimates the probability of the estimated target product breaking caused by the stacking of the target products; and the squeezing analysis submodule estimates the probability of the target product breaking caused by the squeezing between the target products.

[0009] According to the above technical solution, the data acquisition module comprises a product data collection module and an equipment data collection module, the product data collection module is used for obtaining the brittleness of the target product; and the equipment data collection module is used for obtaining the related parameters of the production equipment, the equipment data collection module comprises a transmission data submodule and a pipeline data submodule, the transmission data submodule is used for obtaining the related information of the conveying belt of the production line; and the pipeline data submodule is used for obtaining the parameters of the pipeline of the production equipment.

[0010] According to the above technical solution, the production line analysis module further comprises a pause time analysis module and a camera module, the pause time analysis module is used for analyzing the flow of the target product in the transmission process; and the camera module is used for photographing the transmission pipeline of the production equipment.

[0011] According to the above technical solution, the adjustment control module comprises a production line adjustment module and a product transmission amount control module, the production line adjustment module is used for adjusting the transmission speed of the production line in real time; and the product transmission amount control module is used for controlling 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 management system mainly comprises the following steps:

[0013] Step S1: the data acquisition module obtains the related information of the food production line, the product data collection module obtains the product information produced on the same day, the limit value of the target products not breaking caused by the collision between the target products is M; the equipment data collection module obtains the conveying belt speed V of the conveying belt of the production equipment and the safety speed E of the conveying belt 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 obtains the production line related information stored by the data acquisition module, the camera module shoots the scene of the target product transportation in the transmission process, and the angle between the production equipment transmission process pipeline and the plane is X°; the stop time analysis module analyzes the number of target products input from the conveyor belt inlet within the interval time through the transportation picture;

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

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

[0017] Step S5: the compression stress analysis module estimates the target product breakage probability caused by the compression stress, and transmits the breakage ratio information to the adjustment control module;

[0018] Step S6: the collision stress analysis module estimates the target product breakage probability caused by the collision between the target products, and transmits the breakage ratio information to the adjustment control module;

[0019] Step S7: the adjustment control module receives the breakage ratio information sent by the compression stress analysis module and the collision stress analysis module, adjusts the running rate of the production line through the production line adjustment module; at the same time, the product transmission quantity control module outputs the information of reducing the transportation quantity of the products through the pipeline to the system.

[0020] According to the above technical scheme, in step S2, after the stop time analysis submodule obtains that the conveyor belt of the pipeline conveys the target products for A seconds, the system controls the conveyor belt to stop advancing for B seconds, wherein A>B, the target products are in the normal transmission stage within A seconds, and the stacking and extrusion occur within B seconds after the baffle is erected; at the same time, the camera module analyzes that the amount of target products output from the conveyor belt inlet per second is K, and the amount of target products output following the conveyor belt per second is Z1.

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

[0022] According to the technical scheme, in step S5, if the device conveying belt speed V is lower than the conveying belt safety speed E, the pressure of the target product on the baffle from the rear conveying belt can be ignored, and thus only the pressure on the target product under the stack is considered; the stack analysis submodule calculates the pressure on the lowermost target product under the stack; when the target product on the conveying belt is stacked, the number of the stacked target product per unit area at the end of the conveying belt is wherein μ is a target product stacking index, δ is a unit conversion parameter, and the calculation result of Z is rounded, and the probability of the nth target product from top to bottom being crushed in the stacked target product is wherein n is a positive integer and n≤Z, λ1 is a stacking parameter, the value of which is determined according to the flexibility of the target product, 0<λ1<1, the probability of the nth target product being crushed is η(n)=L(n), if the result is less than or equal to (1-target product integrity qualified rate Ω), it is determined that the speed of the production line is qualified; if the result is greater than (1-target product integrity qualified rate Ω), it is determined that the speed of the production line is unqualified, and the information is transmitted to the adjustment control module;

[0023] If the device conveying belt speed V is higher than the conveying belt safety speed E, the pressure of the target product on the baffle from the rear conveying belt should also be considered additionally; the extrusion analysis submodule calculates the pressure of the target product on the baffle from the rear conveying belt; when the baffle is erected, the target product from the rear conveying belt extrudes the target product on the baffle, and the number of the target product per unit area on the baffle is Q, Q is a positive integer, and the probability of the ith target product from the conveying belt inlet to the end of the conveying belt being crushed in the extruded target product is wherein i is a positive integer and i≤Q, λ2 is an extrusion parameter, the value of which is determined according to the flexibility of the target product, 0<λ2<0.2, and the probability of the nth target product in the ith piece being crushed is If the result is less than or equal to (1-target product integrity qualified rate Ω), it is determined that the speed of the production line is qualified; if the result is greater than (1-target product integrity qualified rate Ω), it is determined that the speed of the production line is unqualified, and the information is transmitted to the adjustment control module.

[0024] According to the technical scheme, in step S6, the collision force analysis module calculates the probability of the target product being crushed due to collision; since the transmission speed of the target product following the conveying belt is different from the actual speed of the target product flying out, the flying target product will exert a collision force f1 on the target product following the conveying belt, and thus the single collision force f received by a target product is u =f e +f1, and the total collision force received by all target products is If the total collision force F>M, it is determined that the collision force on the target product is too large; if the total collision force F≤M, it is determined that the collision force on the target product is normal.

[0025] Compared with the prior art, the present application has the beneficial effects that: the present application, through the production line real-time monitoring management system, monitors the production line transportation process of the expanded food in real time, analyzes the collision force generated by the product on the conveying belt through the production line analysis module, and judges the safety degree 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 product breakage in the conveying belt transportation, and adjust the production line parameters through the adjustment control module, which greatly avoids the problem of product reputation decline caused by too high product breakage rate. BRIEF DESCRIPTION OF DRAWINGS

[0026] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, which together with the embodiments of the present application, serve to explain the present application, and do not constitute a limitation on the present application.

[0027] In the drawings:

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

[0029] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0030] Please refer to Figure 1 The present application provides a technical solution: a real-time monitoring management system for an expanded food production line based on big data, comprising:

[0031] The data acquisition module is used for the system to collect relevant information of the production equipment; the production line analysis module is used for analyzing the production line of the transported product; the debris prediction module is used for evaluating the probability of product breakage; and the adjustment control module is used for adjusting the production line.

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

[0033] The debris prediction module comprises a compression force analysis module and a collision force analysis module, the compression force analysis module is used for estimating the probability of the estimated target product breaking caused by the compression force of the target product, and the collision force analysis module is used for analyzing whether the collision between the target products can cause the target products to break.

[0034] The compression force analysis module comprises a stacking analysis submodule and a squeezing analysis submodule, the stacking analysis submodule estimates the probability of the estimated target product breaking caused by the stacking of the plurality of target products, and the squeezing analysis submodule estimates the probability of the target product breaking caused by the squeezing between the target products.

[0035] The present application realizes real-time monitoring of the production line of the expanded food through the production line real-time monitoring management system, analyzes the collision force generated by the products on the conveying belt through the production line analysis module, judges the safety degree of the target products in the production line through the collision force analysis module, monitors the probability of the products breaking in the conveying process of the conveying belt through the stacking analysis submodule and the squeezing analysis submodule, and adjusts the parameters of the production line through the adjustment control module, so that the problem of the product reputation declining caused by the high product breaking rate is greatly avoided.

[0036] The data acquisition module comprises a product data collection module and a device data collection module, the product data collection module is used for acquiring the fragility of the target product and the probability of the target product breaking under the condition of applying a certain force, and the device data collection module is used for acquiring the related parameters of the production equipment, the device data collection module comprises a transmission data submodule and a pipeline data submodule, the transmission data submodule is used for acquiring the related information of the conveying belt of the production line, and the pipeline data submodule is used for acquiring the parameters of the pipeline of the production equipment.

[0037] The production line analysis module further comprises a stop time analysis module and a camera module, the stop time analysis module is used for analyzing the flow of the target products in the transmission process, and the camera module is used for shooting the transmission pipeline of the production equipment.

[0038] The adjustment control module comprises a production line adjustment module and a product transmission amount control module, the production line adjustment module is used for adjusting the transmission speed of the production line in real time, and the product transmission amount control module is used for controlling the number of target products transmitted by the output pipeline.

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

[0040] Step S1: the data acquisition module obtains the relevant information of the food production line, the product quantity information needed 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 product collision without breaking each other is M; the equipment data collection module obtains the conveying belt speed V of the conveying belt of the production equipment and the safety speed E of the conveying belt through the data transmission 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 obtains the relevant information of the production line stored by the data acquisition module, the camera module shoots the scene of the target product transportation in the transmission process, and obtains the angle X° between the pipeline and the plane of the production equipment transmission process; the stop time analysis module analyzes the quantity of target products input from the conveying belt inlet within the interval time through the transportation picture;

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

[0043] Step S4: the debris prediction module extracts the parameter information of the production equipment in the production line analysis module, analyzes the possibility of the target product breaking in the conveying time; the stress sources causing the target product to break are divided into compression stress and collision stress.

[0044] Step S5: the compression stress analysis module estimates the target product breaking probability caused by compression stress, and transmits the breaking ratio information to the adjustment control module;

[0045] Step S6: the collision stress analysis module estimates the target product breaking probability caused by the collision between the target products, and transmits the breaking ratio information to the adjustment control module;

[0046] Step S7: the adjustment control module receives the breaking ratio information sent by the compression stress analysis module and the collision stress analysis module respectively, adjusts the running rate of the production line through the production line adjustment module; at the same time, the product transmission quantity control module outputs the information of reducing the transportation quantity of the products through the pipeline to the system.

[0047] In step S2 of the embodiment, after the stop time analysis submodule obtains that the target product is conveyed by the conveying belt for A seconds, the system controls the conveying belt to stop advancing for B seconds, wherein A>B, the target product in the conveying belt will not be accumulated when the conveying belt works, the conveying belt transportation pipeline of the production equipment is inclined, and a baffle is arranged at the end of the conveying belt, the target product is in the normal transmission stage within A seconds, and the stacking and extrusion occur within B seconds after the baffle is erected; at the same time, it is obtained through the camera module that the quantity of target products output from the conveying belt inlet per second is K, and the quantity of target products following the conveying belt per second is Z1.

[0048] In step S3 of the embodiment, 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. The slope X ranges from 0°≤X≤30°. mgsinX is the gravity component of a single target product on the conveying slope, is the acceleration ratio of the additional collision force. The faster the speed of the device conveyor belt, the greater the additional collision force; the slower the speed of the device conveyor belt, the smaller the additional collision force.

[0049] In step S5 of the embodiment, if the speed of the device conveyor belt V is lower than the safe speed E of the conveyor belt, the pressure of the target product on the rear conveyor belt on the target product at the baffle can be ignored, so only the pressure on the target product under the stack is considered; the stack analysis submodule calculates the pressure on the lowermost target product under the stack, and when the target product on the conveyor belt has a stacking condition, the number of stacked pieces of the target product in the 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 amount of target product flying out per second under the unit area of the conveyor belt, is the total amount of target product flying out within B seconds at the end of the conveyor belt under the unit area.

[0050] In a macroscopic perspective, the flying target product falls approximately uniformly on the target product following the conveyor belt, and under the vibration of the conveyor belt, it moves forward in a gradient reduction, and a power function can represent the trend of the target product quantity decreasing by gradient with the running of the conveyor belt, so to represent the number of stacked pieces of the target product flying out after B seconds at the end of the conveyor belt under the unit area. Taking the integer of the calculation result of Z, the probability of the nth layer of target product being crushed from top to bottom in the stacked target product is where n is a positive integer and n≤Z, λ1 is a stacking parameter, the value of which is determined according to the flexibility of the target product, 0<λ1<1, the probability of the nth layer of target product being crushed is η(n)=L(n), if the result is less than or equal to (1-target product integrity qualification rate Ω), it is determined that the speed of the production line is qualified; if the result is greater than (1-target product integrity qualification rate Ω), it is determined that the speed of the production line is unqualified, and the information is transmitted to the adjustment control module; when n=1, the uppermost target product on the conveyor belt is not subjected to extrusion, and the probability of being crushed is 0; when n=2, the second layer of target product on the conveyor belt is subjected to the smallest extrusion force, and at this time When n=Z, the lowermost target product on the conveyor belt is subjected to the largest extrusion force, and the probability of being crushed is also the largest, and at this time L(Z)=λ1;

[0051] If the device conveyor belt speed V is higher than the conveyor belt safety speed E, the pressure of the target product on the rear conveyor belt on the baffle should also be considered. The extrusion analysis submodule calculates the pressure of the target product on the rear conveyor belt on the baffle. When the baffle is erected, the target product on the rear conveyor belt extrudes the target product on the baffle. Through data analysis and statistics, the number of target products in the unit area of the baffle is Q, which is a positive integer. Then the probability P(i) of the i-th target product being extruded and broken from the conveyor belt entrance to the end of the conveyor belt is where i is a positive integer and i≤Q, λ2 is an extrusion parameter, the value of which is determined according to the flexibility of the target product, 0<λ2<0.2, the value of P(i) is also affected by the speed of the conveyor belt. The higher the speed of the conveyor belt V, the greater the probability of breaking. The influence index of the speed of the conveyor belt on P(i) is represented by When i=1, the target product at the entrance of the conveyor belt is not extruded, and the probability of breaking is 0. When i=2, the target product at the second layer of the entrance of the conveyor belt is extruded with the smallest force, and When i=Q, the target product at the bottom layer of the conveyor belt is extruded with the largest force, and the probability of breaking is the largest, and The probability of breaking of the target product at the n-th layer and the i-th piece is not simply linearly superimposed, and is specifically If the result is less than or equal to (1-target product integrity qualification rate Ω), it is determined that the production line speed is qualified; if the result is greater than (1-target product integrity qualification rate Ω), it is determined that the production line speed is unqualified, and the information is transmitted to the adjustment control module.

[0052] The target product needs a certain time to be packaged below the conveyor belt device, so it is necessary to have a certain pause interval when the conveyor belt conveys the target product. On the other hand, the target product is prone to stacking and extrusion when the production equipment conveyor belt stops conveying. The longer the stacking and extrusion time, the greater the possibility of breaking of the target product. The possibility of breaking of the target product on the conveyor belt is small, and the target product should be conveyed into the packaging device as soon as possible under the condition of ensuring the normal operation of the packaging program, so as to effectively reduce the debris of the target product.

[0053] In step S6 of the embodiment, the collision force analysis module calculates the probability of breaking of the target product caused by collision. Since the transmission speed of the target product following the conveyor belt is different from the actual speed of the ejected target product, the ejected target product will exert a collision force f1 on the target product following the conveyor belt. Then the single collision force f u e +f1 of a target product is calculated, where f is the collision force of the u-th target product, and f u is the collision force of another target product on the u-th target product. The total collision force​ If the total collision force F>M, it is determined that the collision force on the target product is too large; if the total collision force F≤M, it is determined that the collision force on the target product is normal.

[0054] It should be noted that the relational terms herein such as first and second and the like are used solely to distinguish one from another entity or action, without necessarily requiring or implying any actual relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0055] Finally, it should be noted that the above-described embodiments are merely possible implementations of the present application, but not to be taken to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, the technical solutions recorded in the foregoing embodiments can still be modified by those skilled in the art, or some technical features thereof can be replaced by equivalent replacements. Any modification, equivalent replacement, improvement, and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A big data-based extruded food production line real-time monitoring management system, characterized in that: Including data acquisition module, production line analysis module, debris prediction module and adjustment control module, the data acquisition module is used for system to collect the relevant information of production equipment;The production line analysis module is used for analyzing the production line of transmission product;The debris prediction module is used for evaluating the probability of product breakage;The adjustment control module is used for adjusting the production line; The production line analysis module includes a conveyor belt analysis module, which analyzes the collision force of target products on the conveyor belt of the production equipment transmission pipeline; The debris prediction module includes a compression stress analysis module and a collision stress analysis module, the compression stress analysis module is used to estimate the estimated target product breakage probability caused by target product compression stress;The collision stress analysis module is used to analyze whether the collision between target products can cause target product breakage; The compression stress analysis module includes a stacking analysis submodule and an extrusion analysis submodule, the stacking analysis submodule estimates the probability of estimated target product breakage caused by multiple target product stacking;The extrusion analysis submodule estimates the probability of target product breakage caused by extrusion between target products; The data acquisition module includes a product data collection module and a device data collection module, the product data collection module is used to obtain the fragility of target product;The device data collection module is used to obtain the relevant parameters of production equipment, the device data collection module includes a transmission data submodule and a pipeline data submodule, the transmission data submodule is used to obtain the relevant information of the production line conveyor belt;The pipeline data submodule is used to obtain the parameters of the production equipment pipeline; The production line analysis module further 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 production equipment transmission pipeline; The adjustment control module includes a production line adjustment module and a product transmission amount control module, the production line adjustment module is used to adjust the transmission speed of the production line in real time;The product transmission amount 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 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 same day, the limit value of the collision between target products without breakage is M;The device data collection module obtains the conveyor belt speed V of the production equipment through the transmission data submodule, the safety speed E of the conveyor belt, and obtains the parameters of the production equipment pipeline through the pipeline data submodule; Step S2: the production line analysis module obtains the relevant information of the production line stored by the data acquisition module, the camera module shoots the scene of target product transportation in the transmission process, and obtains the angle X° between the production equipment transmission process pipeline and the plane;The pause time analysis module analyzes the number of target products input from the conveyor belt inlet in the interval time through the transportation picture. Step S3: The conveyor belt analysis module acquires the conveyor belt information of the production equipment transmission flow process pipeline, and analyzes the collision force of the target product in the transmission pipeline affected by the conveyor belt speed; Step S4: The chip prediction module extracts the parameter information of the production equipment in the production line analysis module, analyzes the possibility of the target product being broken during the conveying time of the conveyor belt; Step S5: The compression stress analysis module estimates the target product breakage probability caused by compression stress, and transmits the breakage rate information to the adjustment control module; Step S6: The collision stress analysis module estimates the target product breakage probability caused by mutual collision between the target products, and transmits the breakage rate information to the adjustment control module; Step S7: The adjustment control module receives the problem information, adjusts the running speed of the production line through the production line adjustment module; at the same time, the product transmission amount control module outputs the information of reducing the transportation amount of the product through the pipeline to the system; In the step S2, after the pipeline conveyor belt conveys A seconds of target products, the system controls the conveyor belt to stop advancing for B seconds, wherein A>B, the target products are in the normal transmission stage within A seconds, and the stacking and extrusion occur within B seconds after the baffle is erected; at the same time, the camera module analyzes that the amount of target products conveyed per second from the conveyor belt inlet is K, and the amount of target products conveyed per second following the conveyor belt is Z1; In the step S5, if the device conveyor speed V is lower than the conveyor safety speed E, the pressure of the target product on the back conveyor target product against the baffle is negligible, so only the pressure of the target product under the stack is considered; the stack analysis submodule calculates the pressure of the target product under the lowest layer of the stack, when the target product on the conveyor has a stacking condition, the number of stacked pieces of the target product per unit area at the end of the conveyor is wherein μ is the target product stacking index, Z1 is the amount of target product following the conveyor per second, LH is the unit area of the conveyor, δ is the unit conversion parameter, and the calculation result of Z is rounded, so the probability of the nth layer of target product being crushed from top to bottom in the stacked target product is wherein n is a positive integer and n≤Z, λ1 is the stacking parameter, the value of which is determined according to the flexibility of the target product, 0<λ1<1, the probability of the nth layer of target product being crushed is η(n)=L(n), if the result is less than or equal to (1-target product integrity qualified rate Ω), it is determined that the speed of the production line is qualified; if the result is greater than (1-target product integrity qualified rate Ω), it is determined that the speed of the production line is unqualified, and the information is transmitted to the adjustment control module; If the device conveying belt speed V is higher than the conveying belt safety speed E, the pressure of the target product in the rear conveying belt on the target product at the baffle should also be considered additionally, the extrusion analysis submodule calculates the pressure of the target product in the rear conveying belt on the target product at the baffle, when the baffle stands up, the target product in the rear conveying belt extrudes the target product at the baffle, through data analysis and statistics, the number of pieces of the target product in the unit area of the baffle is Q, Q is a positive integer, then the probability that the i-th piece of the target product from the conveying belt inlet to the conveying belt end is extruded to cause breakage among the extruded target products Wherein i is a positive integer and i≤Q, λ2 is an extrusion parameter, the value of which is determined according to the flexibility of the target product, 0<λ2<0.2, the probability that the target product at the n-th layer and the i-th piece is broken is specifically If the result is less than or equal to (1-target product integrity qualified rate Ω), it is determined that the production line speed is qualified; if the result is greater than (1-target product integrity qualified rate Ω), it is determined that the production line speed is unqualified, and the information is transmitted to the adjustment control module.

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