Mutton quality safety tracing system

Abstract

The invention discloses a mutton quality safety tracing system, and belongs to the technical field of meat quality tracing. The method is used for solving the technical problems of poor autonomous supervision analysis effect and poor autonomous quality safety management effect of different links of mutton quality safety tracing in an existing scheme. Data statistics and processing are carried out on services of different slaughtered sheep in the fasting and water-forbidding links, data analysis is carried out on service specifications corresponding to the different slaughtered sheep in the fasting and water-forbidding links, dynamic management is carried out on the service specifications of the slaughtered sheep in the fasting and water-forbidding links, and slaughtering information input and statistics are carried out before sheep slaughtering. The slaughtering quarantine state of the sheep to be slaughtered is actively supervised and analyzed, and the quarantine implementation and exception handling implementation of the existing slaughtering processing scheme are dynamically optimized and managed in a self-adaptive manner according to the supervision and analysis result, so that the targeted quality safety service supervision on the quarantine implementation link and the exception handling implementation link is realized.

Description

Technical Field

[0001] The invention relates to the technical field of meat quality tracing, and in particular to a mutton quality and safety tracing system. Background Art

[0002] The mutton quality and safety traceability system refers to the use of information technology to record and track relevant information on mutton products throughout the entire industrial chain from sheep breeding, slaughtering, processing to sales, so as to ensure product quality and safety, and to quickly locate the source of the problem and take corresponding measures when problems arise.

[0003] When implementing the existing mutton quality and safety traceability programs, most of them still remain at the stage of single data recording. There is no active quality and safety supervision and analysis of the different links involved in mutton quality, and no adaptive safety warning and optimization management based on the analysis results. There is a poor effect of autonomous supervision and analysis of different links in mutton quality and safety traceability, as well as poor effect of autonomous quality and safety management. Summary of the invention

[0004] The purpose of the present invention is to provide a mutton quality and safety traceability system, which is used to solve the technical problems of poor autonomous supervision and analysis effect and poor autonomous quality and safety management effect in different links of mutton quality and safety traceability in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A mutton quality and safety traceability system, comprising:

[0007] The mutton quality safety fasting and water restriction supervision and traceability module is used to collect data on and process the services provided by different slaughtered sheep during the fasting and water restriction phase, and to analyze the corresponding service specifications of different slaughtered sheep during the fasting and water restriction phase. Based on the analysis results, the service specifications of slaughtered sheep during the fasting and water restriction phase are adaptively and dynamically managed.

[0008] The first resting duration and the second resting duration obtained by processing different slaughtered sheep are obtained and analyzed to obtain service specifications, partial service specifications or non-standard services corresponding to different slaughtered sheep;

[0009] Collect and calculate the service standard data and service non-standard data corresponding to all slaughtered sheep, determine the service standard status corresponding to the fasting and water abstinence service and implement targeted fasting and water abstinence service management, including maintaining the existing fasting and water abstinence service, or implementing targeted fasting and water abstinence service optimization and adjustment for the fasting service and / or water abstinence service with abnormal service standard status;

[0010] The mutton quality safety slaughter quarantine supervision and traceability module is used to enter and count the slaughter information before slaughtering sheep, and actively conduct supervision and analysis on the slaughter quarantine status of the sheep to be slaughtered. According to the supervision and analysis results, the quarantine implementation and abnormal handling implementation of the existing slaughter processing plan are adaptively and dynamically optimized.

[0011] Preferably, the first resting time point at which fasting starts, the second resting time point at which water deprivation starts, and the slaughtering time point of different slaughtered sheep are obtained, and the first resting duration between the first resting time point and the slaughtering time point, and the second resting duration between the second resting time point and the slaughtering time point of different slaughtered sheep are calculated;

[0012] The first resting duration and the second resting duration obtained by the corresponding processing of different slaughtered sheep are analyzed through the fasting and water restriction service identification model, and the service specification value GFi corresponding to the different slaughtered sheep is output; where i is the number of the different slaughtered sheep, i=1, 2, 3, ..., n; n is a positive integer;

[0013] Among them, the expression of the fasting and water restriction service identification model is: Wherein, TY1i and TY2i are the first resting duration and the second resting duration corresponding to different slaughtered sheep respectively; U1 and U2 are the standard range of the first resting duration and the standard range of the second resting duration respectively.

[0014] Preferably, a partial service specification corresponding to the slaughtered sheep is generated according to a service specification value of 1; a non-standard service corresponding to the slaughtered sheep is generated according to a service specification value of 2;

[0015] Count the service part standard data and service non-standard data corresponding to all slaughtered sheep, and use the formula GTk = e N1k+N2k-NXk Calculate and obtain the service standard value GTk corresponding to the fasting and water prohibition service; where k=1, 2, respectively, are the fasting service and water prohibition service; N1k is N11, N12, respectively, the total number of standard fasting service parts and the total number of non-standard fasting service parts; N2k is N21, N22, respectively, the total number of standard water prohibition service parts and the total number of non-standard water prohibition service parts; NXk is NX1, NX2, respectively, the water prohibition service standard limit value and the water prohibition service limit value; e is a mathematical constant.

[0016] Preferably, data analysis is performed on the service standard value to determine the service standard status corresponding to the fasting and water abstinence service and implement targeted fasting and water abstinence service management;

[0017] If the service standard value is less than or equal to e, the service standard status corresponding to the fasting and water restriction service is determined to be normal, and the existing fasting and water restriction service is maintained;

[0018] Otherwise, it is determined that the service specifications corresponding to the fasting service and / or the abstinence from water service are abnormal, and targeted fasting and abstinence from water service optimization and adjustment are implemented for the fasting service and / or abstinence from water service with abnormal service specification status.

[0019] Preferably, the identity number corresponding to the slaughtered sheep is obtained, and the identity number is input into the quarantine database for retrieval to obtain the quarantine information corresponding to the slaughtered sheep, and the quarantine item data in the quarantine information is analyzed through the slaughter quarantine identification model, and the slaughter quarantine status value ZTi of the slaughtered sheep is output;

[0020] Among them, the expression of the slaughter quarantine identification model is:

[0021] According to the slaughter quarantine status value of 0, the slaughtered sheep are associated with a reliable slaughter quarantine status;

[0022] It is unreliable to associate the slaughter quarantine status with the slaughter sheep according to the slaughter quarantine status value of 1.

[0023] Preferably, the abnormal quarantine items corresponding to all slaughtered sheep in the unreliable slaughter state and the abnormal quarantine treatment measures corresponding to different abnormal quarantine items are obtained, and the abnormal quarantine treatment measures corresponding to the abnormal quarantine items are subjected to data analysis through the processing quarantine identification model, and the abnormal treatment values ​​YCj corresponding to the different abnormal quarantine items are output; j is a different abnormal quarantine item, j=1, 2, 3, ..., m; m is a positive integer;

[0024] Among them, the expression of the quarantine identification model is In the formula, CCj is the abnormal quarantine treatment measures corresponding to different abnormal quarantine items; Uj is the abnormal quarantine treatment standard measure set corresponding to different abnormal quarantine items;

[0025] According to the abnormal processing value of 0, the abnormal quarantine item is associated with the abnormal quarantine processing state as normal; according to the abnormal processing value of -1, the abnormal quarantine item is associated with the abnormal quarantine processing state as abnormal.

[0026] Preferably, the total number of first abnormalities of all slaughter quarantine status being unreliable and the total number of second abnormalities of all abnormal quarantine processing status being abnormal are counted, and the formula Calculate and obtain the slaughter quarantine standard value JG of all slaughtered sheep in the early stage of slaughter; where BJ and BC are the slaughter quarantine design value and quarantine treatment design value respectively; a and b are different error correction factors, and both are positive integers, a>b; is the floor function.

[0027] Preferably, the slaughter quarantine standard values ​​are analyzed to determine the slaughter processing status corresponding to all slaughtered sheep and implement targeted safety management;

[0028] If the slaughter quarantine standard value is a, the slaughter processing status quarantine of all slaughtered sheep is determined to be abnormal, and the existing slaughter processing plan is optimized for quarantine implementation;

[0029] If the slaughter quarantine standard value is b, then the slaughter processing status corresponding to all slaughtered sheep is determined to be abnormal, and the existing slaughter processing plan is optimized for abnormal processing implementation;

[0030] If the slaughter quarantine standard value is greater than or equal to a+b, it is determined that the slaughter processing status corresponding to all slaughtered sheep is abnormal, and the existing slaughter processing plan is optimized for quarantine implementation and abnormal processing implementation.

[0031] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0032] The present invention realizes active quality and safety supervision analysis and dynamic management of different aspects related to the quality of mutton in the pre-slaughter stage by performing data statistics and processing on the services provided by different slaughtered sheep in the fasting and water-banning stages, performing data analysis on the service specifications corresponding to different slaughtered sheep in the fasting and water-banning stages, and dynamically managing the service specifications of slaughtered sheep in the fasting and water-banning stages, thereby improving the autonomous supervision and analysis effect and the autonomous quality and safety management effect in the fasting and water-banning stages in the pre-slaughter stage.

[0033] The present invention inputs and counts slaughter information of sheep before slaughter, and actively conducts supervision and analysis on the slaughter quarantine status of the sheep to be slaughtered. According to the supervision and analysis results, the quarantine implementation and abnormal handling implementation of the existing slaughter processing plan are adaptively dynamically optimized and managed, thereby realizing targeted quality and safety service supervision of the quarantine implementation link and the abnormal handling implementation link, and improving the diversity and reliability of autonomous supervision and analysis and autonomous quality and safety management of different links in the quality and safety traceability of mutton slaughtering. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] Figure 1 The present invention provides a module block diagram of a mutton quality and safety traceability system.

[0036] Figure 2 The present invention is a flowchart of the steps of operating a mutton quality and safety traceability system.

[0037] Figure 3 The present invention is a flowchart for data analysis and dynamic optimization management of slaughter quarantine standard values. DETAILED DESCRIPTION

[0038] 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.

[0039] like Figure 1 to Figure 2 As shown, the present invention is a mutton quality safety traceability system, including a mutton quality safety fasting and water prohibition supervision traceability module and a mutton quality safety slaughter quarantine supervision traceability module;

[0040] The mutton quality safety fasting and water restriction supervision and traceability module is used to collect data on and process the services of different slaughtered sheep in the fasting and water restriction process, and to analyze the corresponding service specifications of different slaughtered sheep in the fasting and water restriction process. According to the analysis results, the service specifications of slaughtered sheep in the fasting and water restriction process are dynamically managed adaptively; including:

[0041] Obtain the first resting time point at which fasting begins, the second resting time point at which water deprivation begins, and the slaughtering time point of different slaughtered sheep, and calculate the first resting duration between the first resting time point and the slaughtering time point, and the second resting duration between the second resting time point and the slaughtering time point of different slaughtered sheep;

[0042] The units of different time points are all accurate to minutes; the units of duration are also accurate to minutes; in addition, the application scenario of the embodiment of the present invention can be specifically a slaughterhouse for large-scale slaughter;

[0043] It should be noted that fasting service means that the sheep are fasted 12 to 24 hours before slaughter. This period of time helps to empty the gastrointestinal contents, reduce the risk of carcass contamination due to stomach contents during slaughter, and is conducive to the effect of bleeding;

[0044] Water deprivation service means that the sheep are kept in a quiet and comfortable environment for 6 to 12 hours before slaughter, which helps to reduce the sheep's stress response and improve the quality of meat.

[0045] Different from the existing technical solutions, which do not conduct different aspects of supervision and data analysis on the fasting and water-abstinence services before slaughtering sheep, and cannot dynamically optimize the management of the existing fasting and water-abstinence services; in the embodiments of the invention, by conducting different aspects of supervision and data processing on the fasting and water-abstinence services before slaughtering sheep, reliable multi-dimensional service supervision data support can be provided for the subsequent analysis of the dynamic optimization management of the existing fasting and water-abstinence services.

[0046] The first resting duration and the second resting duration obtained from the corresponding processing of different slaughtered sheep are analyzed through the fasting and water restriction service identification model, and the service specification value GFi corresponding to the different slaughtered sheep is output; where i is the number of the different slaughtered sheep, i=1, 2, 3, ..., n; n is a positive integer, representing the total number of all slaughtered sheep;

[0047] Among them, the expression of the fasting and water restriction service identification model is: In the formula, TY1i and TY2i are the first resting duration and the second resting duration corresponding to different slaughtered sheep respectively; U1 and U2 are the standard range of the first resting duration and the standard range of the second resting duration respectively, which are determined according to the existing industry slaughter resting standard data;

[0048] The service specification value contains a numeric value of 0, 1, or 2;

[0049] Generate the service specification corresponding to the slaughtered sheep according to the service specification value with a value of 0;

[0050] Generate a service part specification corresponding to the slaughtered sheep according to the service specification value with a value of 1, including a fasting service part specification or a water fasting service part specification, and determine it according to the calculation data type to which the service specification value with a value of 1 belongs;

[0051] Generate the service irregularity corresponding to the slaughtered sheep according to the service standard value of 2;

[0052] Count the service part standard data and service non-standard data corresponding to all slaughtered sheep, and use the formula GTk = e N1k+N2k-NXk Calculate and obtain the service standard value GTk corresponding to the fasting and water prohibition service; where k = 1, 2, fasting service and water prohibition service, respectively; N1k is N11, N12, respectively the total number of partial standardization of fasting service and the total number of non-standardization of fasting service; N2k is N21, N22, respectively the total number of partial standardization of water prohibition service and the total number of non-standardization of water prohibition service; NXk is NX1, NX2, respectively the water prohibition service standard limit value and water prohibition service limit value, which can be determined by the existing slaughter fasting and water prohibition service requirement data, or can be determined according to the preliminary test data of the actual application scenario; e is a mathematical constant;

[0053] It should be noted that the service specification value is used to integrate and calculate the individual service specification supervision data of the fasting and water-restricting services corresponding to different slaughtered sheep, so as to digitally represent the service specification status corresponding to the fasting and water-restricting services;

[0054] Conduct data analysis on the service standard values, determine the service standard status corresponding to the fasting and water abstinence service, and implement targeted fasting and water abstinence service management;

[0055] If the service standard value is less than or equal to e, the service standard status corresponding to the fasting and water restriction service is determined to be normal, and the existing fasting and water restriction service is maintained;

[0056] Otherwise, it is determined that the service specifications of the fasting service and / or the abstinence service are abnormal, and targeted optimization and adjustment of the fasting and abstinence service are implemented for the fasting service and / or abstinence service with abnormal service specifications;

[0057] Among them, targeted optimization and adjustment of fasting and water-abstinence services are implemented for fasting and water-abstinence services with abnormal service standard status. Specifically, the fasting and water-abstinence services of subsequent slaughtered sheep can be regulated within the existing standard requirements;

[0058] In the embodiment of the present invention, by performing data statistics and processing on the services provided by different slaughtered sheep in the fasting and water-banning stages, performing data analysis on the service specifications corresponding to different slaughtered sheep in the fasting and water-banning stages, and dynamically managing the service specifications of slaughtered sheep in the fasting and water-banning stages, active quality and safety supervision analysis and dynamic management of different aspects related to the quality of mutton in the pre-slaughter stage are achieved, thereby improving the autonomous supervision and analysis effect and autonomous quality and safety management effect in the fasting and water-banning stages in the pre-slaughter stage.

[0059] The sheep quality safety slaughter quarantine supervision and traceability module is used to input and count the slaughter information before slaughtering sheep, and actively conduct supervision and analysis on the slaughter quarantine status of the slaughtered sheep. According to the supervision and analysis results, the quarantine implementation and abnormal handling implementation of the existing slaughter treatment plan are adaptively and dynamically optimized; including:

[0060] Obtain the identity number corresponding to the slaughtered sheep, which can be customized according to the application rules of the actual application scenario, and enter the identity number into the quarantine database for retrieval to obtain the quarantine information corresponding to the slaughtered sheep, and perform data analysis on the quarantine item data in the quarantine information through the slaughter quarantine identification model, and output the slaughter quarantine status value ZTi of the slaughtered sheep;

[0061] Among them, the expression of the slaughter quarantine identification model is:

[0062] The slaughter quarantine status value contains a value of 0 or 1;

[0063] Quarantine items include but are not limited to group observation, individual clinical examination, temperature detection, specific pathogen screening, etc., which can be added, deleted, or modified according to the application requirements of the actual application scenario;

[0064] According to the slaughter quarantine status value of 0, the slaughtered sheep are associated with a reliable slaughter quarantine status;

[0065] According to the slaughter quarantine status value of 1, it is unreliable to associate the slaughtered sheep with the slaughter quarantine status;

[0066] It should be noted that the slaughter quarantine status value is used to process, analyze and integrate the quarantine information corresponding to different slaughtered sheep to digitally represent the slaughter quarantine status corresponding to different slaughtered sheep;

[0067] By processing and analyzing the quarantine information corresponding to different slaughtered sheep, the slaughter quarantine status corresponding to different slaughtered sheep can be obtained. At the same time, it can also provide reliable individual quarantine supervision data support for the subsequent evaluation and optimization management of different abnormal quarantine items.

[0068] And, obtain the abnormal quarantine items corresponding to all slaughtered sheep in the unreliable slaughter state, and the abnormal quarantine treatment measures corresponding to different abnormal quarantine items, and perform data analysis on the abnormal quarantine treatment measures corresponding to the abnormal quarantine items through the quarantine identification model, and output the abnormal treatment values ​​YCj corresponding to the different abnormal quarantine items; j is a different abnormal quarantine item, j=1, 2, 3, ..., m; m is a positive integer, representing the total number of all abnormal inspection items;

[0069] Among them, the expression of the quarantine identification model is In the formula, CCj is the abnormal quarantine treatment measures corresponding to different abnormal quarantine items; Uj is the abnormal quarantine treatment standard measure set corresponding to different abnormal quarantine items, which is determined according to the existing industry quarantine treatment specification data;

[0070] Exception handling values ​​contain values ​​of 0 or -1;

[0071] According to the abnormal processing value of 0, the abnormal quarantine item is associated with the abnormal quarantine processing state as normal; according to the abnormal processing value of -1, the abnormal quarantine item is associated with the abnormal quarantine processing state as abnormal;

[0072] Count the total number of first anomalies with unreliable slaughter quarantine status and the total number of second anomalies with abnormal quarantine treatment status, and use the formula Calculate and obtain the slaughter quarantine standard value JG of all slaughtered sheep in the early stage of slaughter; where BJ and BC are the slaughter quarantine design value and quarantine treatment design value respectively, which can be determined by the existing industry quarantine treatment standard data or by the early test data of the actual application scenario; a and b are different error correction factors, and both are positive integers, a>b, a can be 4, and b can be 2; is the floor rounding function;

[0073] It should be noted that the slaughter quarantine standard value is used to integrate and calculate the slaughter quarantine abnormal data and slaughter quarantine treatment abnormal data of different aspects to digitally represent the slaughter treatment status corresponding to all slaughtered sheep;

[0074] like Figure 3 As shown, when data analysis is performed on the slaughter quarantine standard values, the corresponding slaughter processing status of all slaughtered sheep is determined and targeted safety management is implemented;

[0075] If the slaughter quarantine standard value is 0, the slaughter processing status of all slaughtered sheep is determined to be normal, and the existing slaughter processing plan is maintained;

[0076] If the slaughter quarantine standard value is a, the slaughter processing status quarantine of all slaughtered sheep is determined to be abnormal, and the existing slaughter processing plan is optimized for quarantine implementation. Specifically, the existing quarantine implementation specifications can be modified and supplemented;

[0077] If the slaughter quarantine standard value is b, the slaughter processing status corresponding to all slaughtered sheep is determined to be abnormal, and the existing slaughter processing plan is optimized for abnormal processing implementation. Specifically, the existing abnormal quarantine processing measures can be modified and supplemented;

[0078] If the slaughter quarantine standard value is greater than or equal to a+b, it is determined that the slaughter processing status corresponding to all slaughtered sheep is abnormal, and the existing slaughter processing plan is optimized for quarantine implementation and abnormal processing implementation.

[0079] In the embodiment of the present invention, by entering and counting the slaughter information of sheep before slaughter, and actively conducting supervision and analysis on the slaughter quarantine status of the sheep to be slaughtered, the quarantine implementation and abnormal handling implementation of the existing slaughter processing plan are adaptively dynamically optimized and managed according to the supervision and analysis results, thereby achieving targeted quality and safety service supervision of the quarantine implementation link and the abnormal handling implementation link, and improving the diversity and reliability of autonomous supervision and analysis and autonomous quality and safety management of different links in the quality and safety traceability of mutton slaughtering.

[0080] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0081] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0082] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0083] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0084] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A mutton quality and safety traceability system, characterized in that: include: The mutton quality safety fasting and water restriction supervision and traceability module is used to collect data on and process the services provided by different slaughtered sheep during the fasting and water restriction phase, and to analyze the corresponding service specifications of different slaughtered sheep during the fasting and water restriction phase. Based on the analysis results, the service specifications of slaughtered sheep during the fasting and water restriction phase are adaptively and dynamically managed. The first resting duration and the second resting duration obtained by processing different slaughtered sheep are obtained and analyzed to obtain service specifications, partial service specifications or non-standard services corresponding to different slaughtered sheep; Collect and calculate the service standard data and service non-standard data corresponding to all slaughtered sheep, determine the service standard status corresponding to the fasting and water abstinence service and implement targeted fasting and water abstinence service management, including maintaining the existing fasting and water abstinence service, or implementing targeted fasting and water abstinence service optimization and adjustment for the fasting service and / or water abstinence service with abnormal service standard status; The mutton quality safety slaughter quarantine supervision and traceability module is used to enter and count the slaughter information before slaughtering sheep, and actively conduct supervision and analysis on the slaughter quarantine status of the sheep to be slaughtered. According to the supervision and analysis results, the quarantine implementation and abnormal handling implementation of the existing slaughter processing plan are adaptively and dynamically optimized.

2. A mutton quality and safety traceability system according to claim 1, characterized in that: Obtain the first resting time point at which fasting begins, the second resting time point at which water deprivation begins, and the slaughtering time point of different slaughtered sheep, and calculate the first resting duration between the first resting time point and the slaughtering time point, and the second resting duration between the second resting time point and the slaughtering time point of different slaughtered sheep; The first resting duration and the second resting duration obtained by the corresponding processing of different slaughtered sheep are analyzed through the fasting and water restriction service identification model, and the service specification value GFi corresponding to the different slaughtered sheep is output; where i is the number of the different slaughtered sheep, i=1, 2, 3, ..., n; n is a positive integer; Among them, the expression of the fasting and water restriction service identification model is: Wherein, TY1i and TY2i are the first resting duration and the second resting duration corresponding to different slaughtered sheep respectively; U1 and U2 are the standard range of the first resting duration and the standard range of the second resting duration respectively.

3. A mutton quality and safety traceability system according to claim 2, characterized in that: According to the service specification value of 1, the service partial specification corresponding to the slaughtered sheep is generated; according to the service specification value of 2, the service non-standard corresponding to the slaughtered sheep is generated; Count the service part standard data and service non-standard data corresponding to all slaughtered sheep, and use the formula GTk = e N1k +N2k-NXk Calculate and obtain the service standard value GTk corresponding to the fasting and water prohibition service; where k=1, 2, respectively, are the fasting service and water prohibition service; N1k is N11, N12, respectively, the total number of standard fasting service parts and the total number of non-standard fasting service parts; N2k is N21, N22, respectively, the total number of standard water prohibition service parts and the total number of non-standard water prohibition service parts; NXk is NX1, NX2, respectively, the water prohibition service standard limit value and the water prohibition service limit value; e is a mathematical constant.

4. A mutton quality and safety traceability system according to claim 3, characterized in that: Conduct data analysis on the service standard values, determine the service standard status corresponding to the fasting and water abstinence service, and implement targeted fasting and water abstinence service management; If the service standard value is less than or equal to e, the service standard status corresponding to the fasting and water restriction service is determined to be normal, and the existing fasting and water restriction service is maintained; Otherwise, it is determined that the service specifications corresponding to the fasting service and / or the abstinence from water service are abnormal, and targeted fasting and abstinence from water service optimization and adjustment are implemented for the fasting service and / or abstinence from water service with abnormal service specification status.

5. The mutton quality and safety traceability system according to claim 1, characterized in that: Obtain the identity number corresponding to the slaughtered sheep, and input the identity number into the quarantine database for retrieval, obtain the quarantine information corresponding to the slaughtered sheep, and perform data analysis on the quarantine item data in the quarantine information through the slaughter quarantine identification model, and output the slaughter quarantine status value ZTi of the slaughtered sheep; Among them, the expression of the slaughter quarantine identification model is: According to the slaughter quarantine status value of 0, the slaughtered sheep are associated with a reliable slaughter quarantine status; It is unreliable to associate the slaughter quarantine status with the slaughter sheep according to the slaughter quarantine status value of 1.

6. A mutton quality and safety traceability system according to claim 5, characterized in that: Obtain the abnormal quarantine items corresponding to all slaughtered sheep in the unreliable slaughter state, as well as the abnormal quarantine treatment measures corresponding to different abnormal quarantine items, and perform data analysis on the abnormal quarantine treatment measures corresponding to the abnormal quarantine items through the quarantine identification model, and output the abnormal treatment values ​​YCj corresponding to different abnormal quarantine items; j is a different abnormal quarantine item, j = 1, 2, 3, ..., m; m is a positive integer; Among them, the expression of the quarantine identification model is In the formula, CCj is the abnormal quarantine treatment measures corresponding to different abnormal quarantine items; Uj is the abnormal quarantine treatment standard measure set corresponding to different abnormal quarantine items; According to the abnormal processing value of 0, the abnormal quarantine item is associated with the abnormal quarantine processing state as normal; according to the abnormal processing value of -1, the abnormal quarantine item is associated with the abnormal quarantine processing state as abnormal.

7. A mutton quality and safety traceability system according to claim 6, characterized in that: Count the total number of first anomalies with unreliable slaughter quarantine status and the total number of second anomalies with abnormal quarantine treatment status, and use the formula Calculate and obtain the slaughter quarantine standard value JG of all slaughtered sheep in the early stage of slaughter; where BJ and BC are the slaughter quarantine design value and quarantine treatment design value respectively; a and b are different error correction factors, and both are positive integers, a>b; is the floor function.

8. A mutton quality and safety traceability system according to claim 7, characterized in that: When conducting data analysis on slaughter quarantine standard values, determining the corresponding slaughter processing status of all slaughtered sheep and implementing targeted safety management; If the slaughter quarantine standard value is a, the slaughter processing status quarantine of all slaughtered sheep is determined to be abnormal, and the existing slaughter processing plan is optimized for quarantine implementation; If the slaughter quarantine standard value is b, then the slaughter processing status corresponding to all slaughtered sheep is determined to be abnormal, and the existing slaughter processing plan is optimized for abnormal processing implementation; If the slaughter quarantine standard value is greater than or equal to a+b, it is determined that the slaughter processing status corresponding to all slaughtered sheep is abnormal, and the existing slaughter processing plan is optimized for quarantine implementation and abnormal processing implementation.

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