An integrated production management system for meat processing

Abstract

The present invention relates to the technical field of food processing, and in particular to an integrated production management system for meat processing. It comprises: a data acquisition module for respectively acquiring meat processing data and primary characteristic data of meat processing; a verification module for verifying the meat processing data; a data processing module for outputting secondary characteristic data of meat processing by performing data processing on the primary characteristic data of meat processing; and a control module for determining the corresponding verification method of the verification module according to the proportion of the number of unqualified meat products, or determining the corresponding collection parameters of the data acquisition module according to the increasing number of quality problem types of meat products. The present invention achieves an improvement in the accuracy of meat processing quality.

Description

Technical Field

[0001] The present invention relates to the technical field of food processing, and in particular to an integrated production management system for meat processing. Background Art

[0002] Meat processing management system is a management system used in meat processing enterprises. The system usually covers the entire meat processing process from raw material procurement, processing, packaging to sales, and ensures traceability and quality control of the entire process.

[0003] Chinese Patent Publication No. CN116777041A discloses a digital twin-based fresh meat proportioning process management method and system, which includes: analyzing the nutritional needs of target pet types to obtain the necessary nutrient sets for the pets; selecting fresh meat types based on the target pet types and a set of meat materials to obtain suitable fresh meat; selecting ingredient types based on the target pet types and a set of non-meat materials to obtain suitable ingredients; inputting the suitable fresh meat and ingredients into a pet food production twin model according to multiple preset proportions to perform production simulation, thereby obtaining multiple simulated pet foods; and performing multi-index analysis on the multiple simulated pet foods to obtain an optimized proportioning solution based on the analysis results. This method can address the problem of low compatibility between pet foods and the pet's current state, improve the compatibility between pet foods and pet types, and meet the nutritional needs of pets. This digital twin-based fresh meat proportioning process management method and system suffers from issues such as excessive data format mismatches due to the data acquisition module collecting too many data formats, resulting in lengthy verification time between production plan data and inventory raw materials, an increase in the number of unqualified meat products, and a consequent decrease in the accuracy of meat processing quality. Summary of the Invention

[0004] To this end, the present invention provides an integrated production management system for meat processing, which is used to overcome the problem in the prior art that due to the excessive number of data format types collected by the data acquisition module, the format mismatch leads to a long time for checking the production plan data and the inventory of raw materials, resulting in an increase in the number of unqualified meat products, and further resulting in a decrease in the accuracy of meat processing quality.

[0005] To achieve the above-mentioned objectives, the present invention provides an integrated production management system for meat processing, comprising: a data acquisition module for respectively acquiring meat processing data and primary meat processing characteristic data; a verification module connected to the data acquisition module for verifying the meat processing data; a data processing module connected to the data acquisition module for processing the primary meat processing characteristic data to output secondary meat processing characteristic data, wherein the secondary meat processing characteristic data includes the percentage of unqualified meat products, the increasing number of quality problem types of meat products, and the average interval time between detection and vacuum filling of meat products; and a control module connected to the data acquisition module, the verification module, and the data processing module for determining a corresponding verification method of the verification module based on the percentage of unqualified meat products, or determining corresponding collection parameters of the data acquisition module based on the percentage of unqualified meat products and the increasing number of quality problem types of meat products, determining corresponding verification parameters of the corresponding verification method based on the number of meat products with production plan errors, and determining a vacuum filling rate based on the average interval time between detection and vacuum filling of meat products.

[0006] Furthermore, the first-level characteristic data of meat processing include the number of unqualified meat products in a unit production cycle, the total production quantity of meat products in a unit production cycle, the number of types of quality problems of meat products in a single cycle, the number of meat products with production plan errors, and the interval time from detection to vacuum filling for several meat products.

[0007] Furthermore, the data acquisition module obtains the number of unqualified meat products in the unit production cycle and the total production quantity of meat products in the unit production cycle, and the data processing module calculates the proportion of the number of unqualified meat products.

[0008] If the proportion of unqualified meat products is greater than a preset first proportion, the control module determines that the accuracy of meat processing quality is lower than the allowable range, wherein,

[0009] If the proportion of the number of unqualified meat products is greater than the preset first proportion and less than or equal to the preset second proportion, the control module controls the verification module to verify the meat processing data in a corresponding verification manner.

[0010] Furthermore, the corresponding verification method of the verification module is to change the traversal method to using H00K hooks to verify the meat processing data.

[0011] Furthermore, if the proportion of the number of unqualified meat products is greater than the preset second proportion, the control module preliminarily determines that the comprehensiveness of data collection is lower than the allowable range, and controls the data collection module to obtain the number of quality problem types of meat products in the single cycle, and the data processing module calculates the growth number of quality problem types of meat products.

[0012] If the growth number of the quality problem types of the meat products is greater than the preset growth number, the control module will make a second determination that the comprehensiveness of data collection is lower than the allowable range, and control the data collection module to use the corresponding collection parameters to collect meat processing data and meat processing primary feature data respectively.

[0013] Furthermore, the corresponding acquisition parameter is the number of detection types after slaughter, wherein the number of detection types after slaughter is determined by the difference between the increase number of quality problem types of the meat product and the preset increase number.

[0014] Furthermore, when the checking module checks the meat processing data in a corresponding checking manner, the control module obtains the quantity of meat products with production plan errors.

[0015] If the number of meat products with production plan errors is greater than a preset number, the control module determines that the system safety risk is lower than the allowable range, and controls the verification module to verify the meat processing data with corresponding verification parameters of the corresponding verification method.

[0016] Furthermore, the corresponding verification parameter of the corresponding verification method is the number of triggering conditions of H00K linkage, wherein the number of triggering conditions of H00K linkage is determined by the difference between the number of meat products with production plan errors and the preset number.

[0017] Furthermore, when the data acquisition module uses corresponding acquisition parameters to respectively acquire the meat processing data and the meat processing primary characteristic data, the control module acquires the interval time from the detection to the vacuum filling step for a plurality of meat products, and the data processing module calculates the average interval time from the detection to the vacuum filling step for the meat products.

[0018] If the average interval time of the vacuum filling process detected by the meat product is greater than the preset time, the control module determines that the risk of deterioration is lower than the allowable range and determines the vacuum filling rate.

[0019] Furthermore, the vacuum filling rate is determined by the difference between the average interval duration of the vacuum filling links detected for the meat product and the preset duration.

[0020] Compared with the prior art, the beneficial effects of the present invention are that the management system of the present invention adjusts the screening method according to the proportion of unqualified meat products by setting a data acquisition module, a verification module, a data processing module and a control module, thereby reducing the time required for verification of production plan data and inventory raw materials due to format mismatch, thereby reducing the impact on the accuracy of meat processing quality; adjusting the number of post-slaughter inspection types according to the increasing number of quality problem types of meat products, thereby reducing the loss of meat caused by the slaughtering and cutting process, making meat quality more prone to problems, and thus affecting the comprehensiveness of data collection; adjusting the number of H00K hooks according to the number of meat products with errors in the production plan, thereby reducing the system security risk that does not meet the requirements due to virus intrusion, and further achieving the improvement of the accuracy of meat processing quality.

[0021] Furthermore, the management system of the present invention sets a preset first ratio and a preset second ratio, and adjusts the screening method according to the ratio of the number of unqualified meat products, thereby reducing the time required to verify production plan data and inventory raw materials due to format mismatch, resulting in a decrease in the accuracy of meat processing quality, and further achieving an improvement in the accuracy of meat processing quality.

[0022] Furthermore, the management system of the present invention sets a preset growth number and adjusts the number of post-slaughter inspection types according to the growth number of quality problem types of meat products, thereby reducing the loss of meat or partial changes in performance due to the slaughtering and cutting process, making meat more susceptible to quality problems, and thus reducing the impact on the comprehensiveness of data collection, thereby further improving the accuracy of meat processing quality.

[0023] Furthermore, the management system of the present invention reduces the impact of system security risks caused by virus intrusion or malicious use by setting a preset number and adjusting the number of trigger conditions for H00K linkage according to the number of meat products with production plan errors, thereby further improving the accuracy of meat processing quality.

[0024] Furthermore, the management system of the present invention sets a preset time length and adjusts the vacuum filling rate according to the average interval time from detection to vacuum filling of meat products, thereby reducing the risk of meat spoilage caused by increased detection time due to an increase in the number of detection types, and further reducing the impact on the risk of spoilage, thereby further improving the accuracy of meat processing quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a block diagram of the overall structure of an integrated production management system for meat processing according to an embodiment of the present invention;

[0026] Figure 2 This is a specific structural block diagram of a data acquisition module for an integrated production management system for meat processing according to an embodiment of the present invention;

[0027] Figure 3 A logic block diagram for determining corresponding verification parameters of a corresponding verification method of an integrated production management system for meat processing according to an embodiment of the present invention;

[0028] Figure 4 This is a logic block diagram for determining corresponding acquisition parameters of a data acquisition module in an integrated production management system for meat processing according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0030] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0031] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediary; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0032] It should be noted that the data in this embodiment are all obtained by the integrated production management system for meat processing of the present invention based on historical test data and data statistics during the corresponding test process, preparation experiments, and comprehensive analysis based on experimental results before this use; the integrated production management system for meat processing of the present invention is based on the percentage of unqualified meat products, the increase in the number of quality problem types of meat products, the number of meat products with production plan errors, and the average interval time between detection and vacuum filling of meat products, which were accumulated, tested, and calculated within 90 days before the current preparation, and comprehensively determines the values ​​of various preset parameter standards for the integrated production management system for meat processing. It will be understood by those skilled in the art that the integrated production management system for meat processing of the present invention can select the value with the highest proportion as the preset standard parameter based on the data distribution, as long as the preparation method of the present invention can clearly define different specific situations in the single determination process through the obtained values.

[0033] See also Figure 1 、 Figure 2 、 Figure 3 as well as Figure 4 As shown, they are respectively an overall structural block diagram of an integrated production management system for meat processing, a specific structural block diagram of a data acquisition module, a logical block diagram for determining corresponding verification parameters of a corresponding verification method, and a logical block diagram for determining corresponding acquisition parameters of a data acquisition module. The present invention provides an integrated production management system for meat processing, comprising:

[0034] A data acquisition module, for respectively collecting meat processing data and meat processing primary characteristic data;

[0035] a verification module connected to the data acquisition module and used to verify the meat processing data;

[0036] a data processing module connected to the data acquisition module, which processes the meat processing primary characteristic data to output meat processing secondary characteristic data, wherein the meat processing secondary characteristic data includes the percentage of unqualified meat products, the increase in the number of quality problem types of meat products, and the average interval time between the detection and vacuum filling stages of meat products;

[0037] A control module is respectively connected to the data acquisition module, the verification module and the data processing module, and is used to determine the corresponding verification method of the verification module according to the proportion of the number of unqualified meat products, or to determine the corresponding collection parameters of the data acquisition module according to the proportion of the number of unqualified meat products and the increasing number of quality problem types of the meat products, and to determine the corresponding verification parameters of the corresponding verification method according to the number of meat products with production plan errors, and to determine the vacuum filling rate according to the average interval time from the detection of the vacuum filling link for the meat products.

[0038] Specifically, the formula for calculating the proportion of unqualified meat products is:

[0039]

[0040] Among them, E is the proportion of unqualified meat products, B1 is the number of unqualified meat products in a unit production cycle, and B2 is the total production quantity of meat products in a unit production cycle.

[0041] Specifically, the growth number of quality problem types for meat products is calculated as follows:

[0042] S=|A n -A n-1 |

[0043] Among them, S is the growth number of quality problem types of meat products, A n is the number of quality problem types of meat products in the nth cycle, A n-1 is the number of quality problem types of meat products in the n-1th cycle, where n is a natural number greater than or equal to 2.

[0044] Specifically, the quantity of meat products with production planning errors means the difference between the total output quantity of meat products in a single production cycle and the standard planned production quantity in a single production cycle.

[0045] Meat processing data include processing speed, processing quantity, and processing type.

[0046] Specifically, the types of quality issues of meat products include the freshness of meat products, the microbial content of meat products, and the additive content of processed meat foods.

[0047] Specifically, the formula for calculating the average interval time between detection and vacuum filling of meat products is:

[0048]

[0049] Among them, T is the average interval time from detection to vacuum filling of meat products, C xis the interval between the detection and vacuum filling of the Xth meat product, y is the number of meat products, and y is a natural number greater than or equal to 1.

[0050] Specifically, the traversal method is to access the meat processing data and meat processing primary feature data collected by the data collection module according to the set rules and sequence.

[0051] Specifically, the use of H00K hooks to verify data is to intercept and process the data collected by the data acquisition module to achieve accurate verification of data in each processing link.

[0052] Specifically, the triggering conditions of the linkage include: when the proportion of unqualified meat products is 0.3, the H00K linkage is triggered and the data is verified; when the difference between the quantity of raw materials in stock and the actual raw materials is 20, the H00K linkage is triggered and the data is verified; when the number of data leaks reaches 20, the H00K linkage is triggered and the data is verified.

[0053] Specifically, the types of post-slaughter testing include the density of the meat, the chemical composition of the meat, the microbial content of the meat, and the presence of parasites in the meat.

[0054] Specifically, meat processing data and meat processing primary feature data are collected through several types of sensors, including but not limited to the following sensor types, which are only given as preferred embodiments of the present invention: temperature sensors for monitoring the temperature during meat processing, humidity sensors for monitoring the humidity of the processing environment, 3D vision sensors for identifying and locating meat pieces, and food metal detectors for monitoring whether meat contains metal impurities.

[0055] Please continue reading Figure 1 As shown, the first-level characteristic data of meat processing include the number of unqualified meat products in a unit production cycle, the total production quantity of meat products in a unit production cycle, the number of types of quality problems of meat products in a single cycle, the number of meat products with production plan errors, and the interval time from detection to vacuum filling for several meat products.

[0056] The management system of the present invention is provided with a data acquisition module, a verification module, a data processing module and a control module, and adjusts the screening method according to the proportion of unqualified meat products, thereby reducing the time required to verify production plan data and inventory raw materials due to format mismatch, thereby reducing the impact on the accuracy of meat processing quality; according to the increasing number of quality problem types of meat products, the number of post-slaughter inspection types is adjusted, thereby reducing the loss of meat caused by the slaughtering and cutting process, making meat quality more susceptible to problems, and thus affecting the comprehensiveness of data collection; according to the number of meat products with errors in the production plan, the number of H00K links is adjusted, thereby reducing the system security risk caused by virus intrusion and meeting the requirements, and further achieving the improvement of the accuracy of meat processing quality.

[0057] See also Figure 4 As shown, the data acquisition module obtains the number of unqualified meat products in the unit production cycle and the total production quantity of meat products in the unit production cycle, and the data processing module calculates the proportion of the number of unqualified meat products.

[0058] If the proportion of unqualified meat products is greater than a preset first proportion, the control module determines that the accuracy of meat processing quality is lower than the allowable range, wherein,

[0059] If the proportion of the number of unqualified meat products is greater than the preset first proportion and less than or equal to the preset second proportion, the control module controls the verification module to verify the meat processing data in a corresponding verification manner.

[0060] See also Figure 4 As shown, the corresponding verification method of the verification module is to change the traversal method to using H00K hooks to verify the meat processing data.

[0061] The management system of the present invention sets a preset first ratio and a preset second ratio, and adjusts the screening method according to the ratio of the number of unqualified meat products, thereby reducing the time required to verify production plan data and inventory raw materials due to format mismatch, resulting in a decrease in the accuracy of meat processing quality, and further achieving an improvement in the accuracy of meat processing quality.

[0062] Please continue reading Figure 4 As shown, if the proportion of the number of unqualified meat products is greater than the preset second proportion, the control module preliminarily determines that the comprehensiveness of data collection is lower than the allowable range, and controls the data collection module to obtain the number of quality problem types of meat products in the single cycle, and the data processing module calculates the growth number of quality problem types of meat products.

[0063] If the growth number of the quality problem types of the meat products is greater than the preset growth number, the control module will make a second determination that the comprehensiveness of data collection is lower than the allowable range, and control the data collection module to use the corresponding collection parameters to collect meat processing data and meat processing primary feature data respectively.

[0064] Please continue reading Figure 4 As shown, the corresponding acquisition parameter is the number of detection types after slaughter, wherein the number of detection types after slaughter is determined by the difference between the growth number of quality problem types of the meat product and the preset growth number.

[0065] Specifically, if the increasing number of the quality problem types of the meat products is less than or equal to the preset increasing number, the control module determines that the data acquisition module uses standard acquisition parameters to respectively acquire meat processing data and meat processing primary characteristic data.

[0066] Specifically, the process for determining the number of post-slaughter testing types is as follows:

[0067] If ΔS≤ΔS0, the control module adjusts the number of the detection type after slaughter to the first detection type number using the preset first detection type number adjustment coefficient;

[0068] If ΔS>ΔS0, the control module adjusts the number of the detection type after slaughter to the second detection type number using the preset second detection type number adjustment coefficient;

[0069] Specifically, the increasing number of quality problem types of meat products is recorded as S, the preset increasing number is recorded as S0, S0=10, the difference between the increasing number of quality problem types of meat products and the preset increasing number is recorded as △S, △S=S-S0 is set, △S0 is the preset increasing number difference, △S0=5, the preset first detection type quantity adjustment coefficient is recorded as β1, the preset second detection type quantity adjustment coefficient is recorded as β2, wherein 1<β1<β2, β1=1.2, β2=1.4, the number of detection types after slaughter is recorded as D, the adjusted number of detection types after slaughter is recorded as D', and D'=D×(1+βk) / 2 is set, wherein βk is the preset kth detection type quantity adjustment coefficient, and k=1,2.

[0070] The management system of the present invention sets a preset growth number and adjusts the number of post-slaughter inspection types according to the growth number of quality problem types of meat products, thereby reducing the loss of meat or partial changes in performance that may occur during the slaughtering and cutting process, making meat more susceptible to quality problems, and thus reducing the impact on the comprehensiveness of data collection, thereby further improving the accuracy of meat processing quality.

[0071] Please continue reading Figure 1 As shown, when the verification module verifies the meat processing data in a corresponding verification manner, the control module obtains the quantity of meat products with production plan errors.

[0072] If the number of meat products with production plan errors is greater than a preset number, the control module determines that the system safety risk is lower than the allowable range, and controls the verification module to verify the meat processing data with corresponding verification parameters of the corresponding verification method.

[0073] Please continue reading Figure 1 As shown, the corresponding verification parameter of the corresponding verification method is the number of triggering conditions of the H00K link, wherein the number of triggering conditions of the H00K link is determined by the difference between the number of meat products with production plan errors and the preset number.

[0074] Specifically, if the quantity of meat products with production plan errors is less than or equal to a preset quantity, the control module determines that the verification module verifies the meat processing data using standard verification parameters corresponding to the verification method.

[0075] Specifically, the specific process for determining the number of trigger conditions for H00K peg is as follows:

[0076] If △R≤△R0, the control module uses a preset first quantity adjustment coefficient to adjust the quantity of the trigger conditions of the H00K hook to a first quantity;

[0077] If △R>△R0, the control module adjusts the number of trigger conditions of the H00K hook to the second number using the preset second number adjustment coefficient;

[0078] Specifically, the number of meat products with production plan errors is recorded as R, the preset number is recorded as R0, R0=50, the difference between the number of meat products with production plan errors and the preset number is recorded as △R0, setting △R=R-R0, △R0 is the preset quantity difference, △R0=20, the preset first quantity adjustment coefficient is recorded as γ1, the preset second quantity adjustment coefficient is recorded as γ2, wherein 1<γ1<γ2, γ1=1.1, γ2=1.2, the number of triggering conditions of H00K hook is recorded as T, the number of triggering conditions of H00K hook after adjustment is recorded as T', set T'=T×γP, wherein γP is the preset pth quantity adjustment coefficient, and set p=1,2.

[0079] The management system of the present invention adjusts the number of trigger conditions for H00K linkage by setting a preset number and according to the number of meat products with production plan errors, thereby reducing the impact of system security risks caused by virus intrusion or malicious use, and further improving the accuracy of meat processing quality.

[0080] Please continue reading Figure 1 As shown, when the data acquisition module uses the corresponding acquisition parameters to respectively collect the meat processing data and the meat processing primary characteristic data, the control module obtains the interval time from the detection to the vacuum filling link of several meat products, and the data processing module calculates the average interval time from the detection to the vacuum filling link of the meat products.

[0081] If the average interval time of the vacuum filling process detected by the meat product is greater than the preset time, the control module determines that the risk of deterioration is lower than the allowable range and determines the vacuum filling rate.

[0082] Please continue reading Figure 1 As shown, the vacuum filling rate is determined by the difference between the average interval duration of the vacuum filling links detected for the meat product and the preset duration.

[0083] Specifically, the specific process of determining the vacuum filling rate is:

[0084] If ΔT≤ΔT0, the control module adjusts the vacuum filling rate to the first duration using a preset second rate adjustment coefficient;

[0085] If ΔT>ΔT0, the control module uses a preset first rate adjustment coefficient to adjust the vacuum filling rate to a second duration.

[0086] Specifically, the average interval time from detection to vacuum filling of meat products is recorded as T, the preset time is recorded as T0, T=5min, the difference between the average interval time from detection to vacuum filling of meat products and the preset time is recorded as △T, △T=T-T0 is set, △T0 is the preset time difference, △T0=2min, the preset first rate adjustment coefficient is recorded as α1, the preset second rate adjustment coefficient is recorded as α2, wherein 0<α1<α2<1, α1=0.8, α2=0.9, the vacuum filling rate is recorded as E, the adjusted vacuum filling rate is recorded as E', set E'=E×αj, wherein αj is the preset j-th rate adjustment coefficient, set j=1,2.

[0087] The management system of the present invention sets a preset time length and adjusts the vacuum filling rate according to the average interval time from detection to vacuum filling of meat products, thereby reducing the risk of meat deterioration caused by an increase in detection time due to an increase in the number of detection types, thereby reducing the impact on the deterioration risk and further improving the accuracy of meat processing quality.

[0088] Example 1

[0089] In this embodiment 1, when T>T0, the control module adjusts the number of detection types after slaughter, which is recorded as D, based on the difference between the growth number of quality problem types of meat products and the preset growth number, which is recorded as △S. The growth number of quality problem types of meat products is recorded as S, the preset growth number is recorded as S0, and the difference between the growth number of quality problem types of meat products and the preset growth number is recorded as △S. Set △S=S-S0, △S0 is the preset growth number difference, △S0=5, the preset first detection type number adjustment coefficient is recorded as β1, and the preset second detection type number adjustment coefficient is recorded as β2, wherein 1<β1<β2, the number of detection types after slaughter is recorded as D, and the adjusted number of detection types after slaughter is recorded as D', S0=10, β1=1.2, β2=1.4, △S0=5, D=10, and S=16 in this embodiment 1.

[0090] In this embodiment 1, △S=16-10=6 is obtained. The control module determines that △S>△S0 and uses the preset first detection type quantity adjustment coefficient β1 to adjust the number of detection types after slaughter to the first detection type quantity D', and calculates D'=10×(1+1.2)=11.

[0091] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. An integrated production management system for meat processing, characterized in that: include: A data collection module, used for collecting meat processing data and meat processing primary characteristic data respectively; A verification module, connected to the data acquisition module, for verifying the meat processing data; A data processing module, which is connected to the data acquisition module, processes the primary characteristic data of meat processing to output secondary characteristic data of meat processing, wherein the secondary characteristic data of meat processing includes the percentage of unqualified meat products, the increasing number of quality problem types of meat products, and the average interval time from detection to vacuum filling of meat products; a control module, which is connected to the data acquisition module, the verification module and the data processing module respectively, and is used to determine a corresponding verification method of the verification module according to the proportion of the number of unqualified meat products, determine corresponding collection parameters of the data acquisition module according to the proportion of the number of unqualified meat products and the increasing number of quality problem types of the meat products, and determine corresponding verification parameters of the corresponding verification method according to the number of meat products with production plan errors, and determine a vacuum filling rate according to the average interval time from the detection of the vacuum filling link of the meat products; The primary characteristic data of meat processing include the number of unqualified meat products in a unit production cycle, the total production quantity of meat products in a unit production cycle, the number of types of quality problems of meat products in a single cycle, the number of meat products with production plan errors, and the interval time from detection to vacuum filling of several meat products; The corresponding acquisition parameter is the number of detection types after slaughter; The corresponding verification parameter of the corresponding verification method is the number of triggering conditions of H00K hooking; The corresponding verification method of the verification module is to change the traversal method to use H00K hook to verify the meat processing data; The number of the post-slaughter detection types is determined by the difference between the increase number of the quality problem types of the meat products and the preset increase number; The number of triggering conditions for the H00K hook is determined by the difference between the number of meat products with production plan errors and the preset number.

2. The integrated production management system for meat processing according to claim 1, characterized in that: The data acquisition module acquires the number of unqualified meat products in the unit production cycle and the total production number of meat products in the unit production cycle, and the data processing module calculates the proportion of the number of unqualified meat products. If the proportion of the number of unqualified meat products is greater than the preset first proportion, the control module determines that the accuracy of the meat processing quality is lower than the allowable range, wherein: If the proportion of the number of unqualified meat products is greater than the preset first proportion and less than or equal to the preset second proportion, the control module controls the verification module to verify the meat processing data in a corresponding verification manner.

3. The integrated production management system for meat processing according to claim 2, characterized in that: If the proportion of the number of unqualified meat products is greater than the preset second proportion, the control module preliminarily determines that the comprehensiveness of data collection is lower than the allowable range, and controls the data collection module to obtain the number of quality problem types of meat products in the single cycle, and the data processing module calculates the growth number of quality problem types of meat products. If the growth number of the quality problem types of the meat products is greater than the preset growth number, the control module determines for the second time that the comprehensiveness of data collection is lower than the allowable range, and controls the data collection module to use the corresponding collection parameters to collect meat processing data and meat processing primary characteristic data respectively.

4. The integrated production management system for meat processing according to claim 3, characterized in that: When the checking module checks the meat processing data in a corresponding checking manner, the control module obtains the quantity of meat products with production plan errors. If the number of meat products with production plan errors is greater than a preset number, the control module determines that the safety risk of the system is lower than the allowable range, and controls the verification module to verify the meat processing data with corresponding verification parameters of the corresponding verification method.

5. The integrated production management system for meat processing according to claim 4, characterized in that: When the data acquisition module uses the corresponding acquisition parameters to respectively acquire the meat processing data and the meat processing primary characteristic data, the control module acquires the interval time from the detection to the vacuum filling link of several meat products, and the data processing module calculates the average interval time from the detection to the vacuum filling link of the meat products. If the average interval time between the vacuum filling steps detected for the meat product is greater than a preset time, the control module determines that the risk of spoilage is lower than an allowable range and determines the vacuum filling rate.

6. The integrated production management system for meat processing according to claim 5, characterized in that: The vacuum filling rate is determined by the difference between the average interval duration of the vacuum filling links detected in the meat product and the preset duration.

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