An intelligent monitoring and traceability management system for cattle and sheep slaughtering process

Abstract

This invention provides an intelligent monitoring and traceability management system for cattle and sheep slaughtering processes, comprising: a data acquisition and preprocessing module for collecting the center temperature and spatial coordinate data of each cattle and sheep carcass in the aging storage area; a temperature drop deviation index calculation module for calculating the temperature drop deviation index of each carcass; an anomaly identification and type determination module for determining the temperature drop deviation state by calculating the temperature drop deviation trend coefficient, and classifying abnormal carcasses as either regionally related or isolated anomalies by combining the temperature drop deviation index and spatial coordinate data; and an early warning response module for generating differentiated early warning signals based on the anomaly type and deviation state and matching them with control commands. This invention effectively identifies abnormal carcasses by introducing the temperature drop deviation index and trend coefficient, and distinguishes the root cause of the anomaly as environmental problems or individual quality differences by combining spatial clustering, achieving a rapid closed loop from anomaly detection to cause diagnosis, significantly improving the stability of the aging process and the traceability of meat products.

Description

Technical Field

[0001] This invention relates to the field of food processing monitoring technology, specifically to an intelligent monitoring and traceability management system for cattle and sheep slaughtering processes. Background Technology

[0002] In the slaughtering and processing of cattle and sheep, the aging process is a crucial step affecting meat quality. Scientifically controlling the temperature within the aging chamber allows the carcasses to complete the normal biochemical reactions of muscle tissue after slaughter, effectively improving meat tenderness and flavor. During aging, the rate of temperature decrease at the carcass's center is a core indicator of its effectiveness. Too rapid a temperature drop can lead to cold contraction, making the meat tough; too slow a temperature drop may trigger growth and reproduction, increasing food safety risks. Therefore, precise monitoring and anomaly identification of the center temperature of each carcass within the aging chamber are of great significance for ensuring meat quality and reducing losses.

[0003] In the prior art, CN103279815A discloses a slaughter information traceability system and method, which includes: inputting quarantine data, acid removal data, deboning data, quick-freezing data, and refrigeration data; conducting video monitoring of the factory environment and production process; querying the input quarantine data, acid removal data, deboning data, quick-freezing data, and refrigeration data; and providing early warning information and handling for environmental hygiene, shelf life, production and storage time, etc., that may occur in each process.

[0004] However, the existing technologies mentioned above only monitor the temperature inside the acid removal chamber, which cannot accurately identify abnormal carcasses and distinguish the root cause of the abnormality. When the temperature drop deviates, it is difficult for managers to determine whether it is caused by equipment or environmental failure in the acid removal chamber or by the quality problem of the carcass itself. This leads to low investigation efficiency, the root cause of the problem is often confused, and it is impossible to achieve targeted control and individual traceability, which affects the stability of the acid removal process and the controllability of product quality.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide an intelligent monitoring and traceability management system for cattle and sheep slaughtering processes to solve the problems mentioned in the background art. This invention accurately identifies abnormal carcasses by collecting carcass center temperature data and calculating the temperature drop deviation index and temperature drop deviation trend coefficient. Furthermore, based on spatial coordinate clustering analysis, it quickly distinguishes between regionally related anomalies and isolated anomalies, pointing the root cause to either environmental issues in the aging storage area or differences in the quality of the carcasses themselves. Based on this, environmental control strategies are optimized accordingly, and abnormal individuals are marked and tracked, achieving full-process traceability management and significantly improving the efficiency of anomaly diagnosis and the stability of the aging process.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] An intelligent monitoring and traceability management system for cattle and sheep slaughtering processes includes the following modules:

[0009] The data acquisition and preprocessing module collects the center temperature data of each cattle and sheep carcass in the aging storage at fixed time intervals. The center temperature data is the temperature data inside the muscle tissue of the cattle and sheep carcass. The module also obtains the spatial coordinate data of the cattle and sheep carcass in the aging storage and preprocesses the collected center temperature data.

[0010] The temperature drop deviation index calculation module calculates the average temperature and temperature standard deviation of each carcass in the pre-processed aging storage room based on the center temperature data of each carcass in the aging storage room. Based on the center temperature data of each carcass in the aging storage room and the average temperature and temperature standard deviation of each carcass in the aging storage room, it calculates the temperature drop deviation index of each carcass.

[0011] The anomaly identification and type determination module calculates the temperature drop deviation trend coefficient of each cattle and sheep carcass based on the temperature drop deviation index of each carcass, and determines the temperature drop deviation state of each carcass based on the temperature drop deviation coefficient. Based on the temperature drop deviation index and temperature drop deviation state of each carcass, it identifies carcasses with abnormal temperature drop, and determines the anomaly type of each carcass in the acid removal warehouse based on the spatial coordinate data of the carcasses with abnormal temperature drop.

[0012] The early warning response module generates corresponding early warning signals based on the abnormal types and temperature drop deviations of each cattle and sheep carcass in the acid removal warehouse, and matches differentiated control commands based on the early warning signals.

[0013] Furthermore, the method for preprocessing the collected center temperature data is as follows:

[0014] The preprocessing includes data cleaning and time-series alignment;

[0015] The data cleaning includes the identification and removal of outliers and duplicate data, and the handling of missing values. Statistical methods are used to identify outliers and duplicate data in the center temperature data, delete outliers and duplicate data in the center temperature data, and fill missing values ​​in the center temperature data with the historical mean, median, or mode of the center temperature data.

[0016] The time alignment method is as follows: using the sampling time corresponding to a fixed time interval as the reference time point, an equally spaced reference time axis is formed, and the center temperature data of each cattle and sheep carcass is matched with the reference time axis according to the original timestamp to form a center temperature data sequence.

[0017] Furthermore, the formula used to calculate the average temperature and temperature standard deviation of each cattle and sheep carcass in the aging storage is as follows:

[0018]

[0019] in, for The average temperature of each cattle and sheep carcass in the acidification storage room at all times;

[0020] This is the current sampling time;

[0021] This refers to the total number of cattle and sheep carcasses in the aging storage facility;

[0022] For summation index;

[0023] for Time of the first The core temperature of a cow or sheep carcass;

[0024]

[0025] in, for The temperature standard deviation of each cattle and sheep carcass in the acidification storage is monitored at all times.

[0026] Furthermore, the formula used to calculate the temperature drop deviation index of each cattle and sheep carcass is as follows:

[0027]

[0028] in, for Time of the first Temperature drop deviation index of individual cattle and sheep carcasses;

[0029] It is a preset, extremely small positive number used to prevent the denominator from being zero.

[0030] Furthermore, the formula used to calculate the temperature drop deviation trend coefficient of each cattle and sheep carcass is as follows:

[0031]

[0032] in, for Time of the first Temperature drop deviation trend coefficient of individual cattle and sheep carcasses;

[0033] for Time of the first Temperature drop deviation index of individual cattle and sheep carcasses;

[0034] This is a preset, fixed time interval.

[0035] Furthermore, the logic for determining the deviation of the carcass temperature drop in each cattle and sheep is as follows:

[0036] A sliding window for the temperature drop deviation trend coefficient of each cattle and sheep carcass is constructed. The sliding window for the temperature drop deviation trend coefficient takes the current time as the end point and extracts the temperature drop deviation trend coefficient corresponding to M consecutive sampling times.

[0037] When the temperature drop deviates from the trend coefficient for L or more consecutive sampling times within the sliding window, the following conditions are met. When >0, determine the first The carcasses of cattle and sheep are in a state of accelerated temperature drop;

[0038] When the temperature drop deviates from the trend coefficient for L or more consecutive sampling times within the sliding window, the following conditions are met. When <0, determine the first The carcasses of cattle and sheep are in a state of temperature drop and relief.

[0039] The temperature drop deviation trend coefficient does not satisfy L or more consecutive sampling times within the sliding window. >0 and When <0, determine the first The carcasses of cattle and sheep are in a state of temperature drop, deviating from a stable state;

[0040] in, For the first A cow or sheep carcass in Before the moment Temperature drop deviation trend coefficient at each sampling time;

[0041] M is the total number of consecutive sampling times included in the sliding window of the temperature drop deviation trend coefficient. M is a preset positive integer, and M≥5.

[0042] L is a preset continuous judgment threshold, and 3 < L < M;

[0043] For the summation index, The value range is (0, M-1).

[0044] Furthermore, the logic for determining the abnormal temperature drop in the carcass is as follows:

[0045] when ≥ And the first When a cattle or sheep carcass is in a state of accelerated temperature drop, determine the first... The carcasses of cattle and sheep exhibited abnormal temperature drops;

[0046] when ≥ And the first When the temperature of a cattle or sheep carcass deviates from a stable state, determine the first... The carcasses of cattle and sheep exhibited abnormal temperature drops;

[0047] when < And the first When a cattle or sheep carcass is in a state of accelerated temperature drop, determine the first... The carcasses of cattle and sheep exhibited abnormal temperature drops;

[0048] in, This is the preset temperature drop deviation index threshold.

[0049] Furthermore, the logic for determining the abnormal type of each cattle and sheep carcass in the acid removal warehouse is as follows:

[0050] Based on the spatial coordinate data of the abnormal carcass, a set of abnormal carcass coordinates is constructed;

[0051] When the abnormal carcass coordinate set is within the preset spatial distance threshold Within the range, there exists When there are one or more carcasses with abnormal temperature drop, the abnormality type of each cattle and sheep carcass in the acid removal warehouse is determined to be a regional correlation type abnormality;

[0052] When the preset spatial distance threshold Within the range, there is no When there are one or more carcasses with abnormal temperature drop, the abnormality type of each cattle and sheep carcass in the acid removal warehouse is determined to be an isolated abnormality;

[0053] Among them, the preset spatial distance threshold The calibration was performed based on the spacing between the carcasses of cattle and sheep in the aging storage facility;

[0054] This is the preset minimum cluster size threshold, and ≥3.

[0055] Furthermore, the triggering logic for generating the corresponding early warning signal is as follows:

[0056] When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is a regionally correlated abnormality, and at least one cattle or sheep carcass is in a state of aggravated temperature drop deviation, a regional diffusion warning signal is generated.

[0057] When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is a regionally correlated abnormality, and each cattle and sheep carcass is in a state of mitigation of temperature drop deviation or a state of stable temperature drop deviation, a regional continuous early warning signal is generated.

[0058] When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is an isolated abnormality, and at least one cattle and sheep carcass is in a state of aggravated temperature drop, an individual deterioration warning signal is generated;

[0059] When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is an isolated abnormality, and each cattle and sheep carcass is in a state of relief from temperature drop deviation or a state of stable temperature drop deviation, an individual abnormality warning signal is generated.

[0060] Furthermore, the execution logic for matching differentiated control commands based on early warning signals is as follows:

[0061] When the warning signal is a regional diffusion warning signal, it is matched with regional environmental emergency control and source tracing and investigation control instructions;

[0062] When the warning signal is a regional continuous warning signal, match the regional cooling optimization and batch tracking instructions;

[0063] When the warning signal is an individual deterioration warning signal, it is matched with the individual source tracing instruction;

[0064] When the warning signal is an individual abnormality warning signal, the individual source tracing record instruction is matched.

[0065] Compared with the prior art, the beneficial effects of the present invention are:

[0066] This invention monitors the core temperature data of cattle and sheep carcasses, combining it with temperature drop deviation index, temperature drop deviation trend coefficient, and spatial coordinate clustering to achieve accurate identification and rapid location of abnormal states during the aging process. This improves the accuracy and anti-interference capability of anomaly detection, avoiding false alarms and missed alarms. By distinguishing between regionally related anomalies and isolated anomalies, the system can quickly pinpoint the root cause of the problem to equipment or environmental malfunctions in the aging storage facility, or focus on individual carcass quality differences. This significantly reduces the time management personnel spend investigating, achieving an efficient closed loop from anomaly discovery to cause diagnosis. Simultaneously, the system matches differentiated early warning and control commands based on the anomaly type and temperature drop deviation state, and marks, tracks, and records abnormal individuals, achieving full-process traceability management. This provides a reliable basis for subsequent quality inspection and process improvement, enhancing the intelligent monitoring level, management efficiency, and product quality traceability of the cattle and sheep slaughtering process, ensuring the stability of the aging process and meat safety. Attached Figure Description

[0067] Figure 1 A block diagram of an intelligent monitoring and traceability management system for cattle and sheep slaughtering processes;

[0068] Figure 2 This is a schematic diagram of the operation process of an intelligent monitoring and traceability management system for cattle and sheep slaughtering. Detailed Implementation

[0069] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0070] It should be noted that, unless otherwise defined, the technical or scientific terms used in this invention should have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0071] Example:

[0072] Please see Figures 1-2 The present invention provides a technical solution:

[0073] An intelligent monitoring and traceability management system for cattle and sheep slaughtering processes includes the following modules:

[0074] The data acquisition and preprocessing module collects the core temperature data of each cattle and sheep carcass in the aging storage at fixed time intervals. The core temperature data is the temperature data inside the muscle tissue of the cattle and sheep carcass, ensuring that the core temperature data of each cattle and sheep carcass can be obtained in real time, thereby reflecting the actual cooling state of the carcass during the aging process. The module also obtains the spatial coordinate data of the cattle and sheep carcasses in the aging storage to clarify the specific location distribution of each cattle and sheep carcass in the storage. Furthermore, the module preprocesses the collected core temperature data to improve the integrity and consistency of the data, providing a reliable basis for subsequent analysis.

[0075] The method for preprocessing the collected center temperature data is as follows:

[0076] The preprocessing includes data cleaning and time-series alignment;

[0077] The data cleaning process includes identifying and removing outliers and duplicate data, and handling missing values. Statistical methods are used to analyze the collected center temperature data, identifying values ​​that deviate significantly from the overall data distribution as outliers. Duplicate records caused by sensor misreading or transmission errors are detected and removed to ensure that each sampling moment corresponds to a unique and valid temperature data point. After removing outliers and duplicate data, missing values ​​are further processed. Considering the time-series characteristics of the data, the historical mean, median, or mode of the center temperature data are used to fill in the missing parts, maintaining the continuity and integrity of the data and providing a reliable data foundation for subsequent analysis.

[0078] The time alignment method is as follows: using the sampling time corresponding to a fixed time interval as the reference time point, an equally spaced reference time axis is constructed. The system matches the original core temperature data of each cattle and sheep carcass with the corresponding time on the reference time axis according to its original timestamp. For each reference time, if there are one or more original sampling points closest to that time, the original temperature data closest to that reference time is selected as the representative value of that time; if there are no valid data points near a certain reference time, interpolation is performed based on the valid temperature values ​​of the preceding and following times to ensure that each carcass has corresponding core temperature data at each reference time.

[0079] The temperature drop deviation index calculation module calculates the average temperature and temperature standard deviation of each carcass in the pre-processed aging storage room based on the center temperature data of each carcass. Based on the center temperature data and the average temperature and temperature standard deviation of each carcass in the aging storage room, it calculates the temperature drop deviation index of each carcass. This temperature drop deviation index normalizes the degree of deviation of the individual temperature from the overall average level relative to the overall fluctuation range, thereby quantifying the degree of deviation of each carcass from the overall temperature drop process at the current moment, providing a basis for subsequent anomaly identification.

[0080] The formula used to calculate the average temperature and standard deviation of each cattle and sheep carcass in the aging storage is as follows:

[0081]

[0082] in, for The average temperature of each cattle and sheep carcass in the acidification storage room at all times;

[0083] This is the current sampling time;

[0084] This refers to the total number of cattle and sheep carcasses in the aging storage facility;

[0085] For summation index;

[0086] for Time of the first The core temperature of a cow or sheep carcass;

[0087]

[0088] in, for The temperature standard deviation of each cattle and sheep carcass in the acidification storage room at all times;

[0089] when The larger the value, the more significant the temperature difference between the various cattle and sheep carcasses, and the worse the overall temperature drop process consistency, which may indicate local environmental inhomogeneity or individual differences; when The smaller the value, the more synchronized the temperature drop process of each cattle or sheep carcass, indicating a good overall temperature control effect.

[0090] The formula used to calculate the temperature drop deviation index of each cattle and sheep carcass is as follows:

[0091]

[0092] in, for Time of the first Temperature drop deviation index of individual cattle and sheep carcasses;

[0093] It is a preset, extremely small positive number used to prevent the denominator from being zero;

[0094] When the value is large, it indicates that the first The core temperature of individual cattle and sheep carcasses deviated significantly from the overall average level, and vice versa. When the value is small, it indicates that the first The core temperature of each cattle or sheep carcass is consistent with the overall temperature, indicating a normal condition.

[0095] The anomaly identification and type determination module calculates the temperature drop deviation trend coefficient of each cattle and sheep carcass based on the temperature drop deviation index of each carcass. This temperature drop deviation trend coefficient reflects the direction and magnitude of the temperature drop deviation index over time. Based on the temperature drop deviation trend coefficient, the module determines the temperature drop deviation status of each cattle and sheep carcass. Based on the temperature drop deviation index and the temperature drop deviation status of each cattle and sheep carcass, the module identifies carcasses with abnormal temperature drops. Based on the spatial coordinate data of the carcasses with abnormal temperature drops, the module determines the anomaly type of each cattle and sheep carcass in the acid removal warehouse.

[0096] The formula used to calculate the temperature drop deviation trend coefficient of each cattle and sheep carcass is as follows:

[0097]

[0098] in, for Time of the first Temperature drop deviation trend coefficient of individual cattle and sheep carcasses;

[0099] for Time of the first Temperature drop deviation index of individual cattle and sheep carcasses;

[0100] This is a preset, fixed time interval.

[0101] The logic for determining the deviation of the carcass temperature drop in each cattle and sheep is as follows:

[0102] A sliding window for the temperature drop deviation trend coefficient of each cattle and sheep carcass is constructed. The sliding window for the temperature drop deviation trend coefficient takes the current time as the end point and extracts the temperature drop deviation trend coefficient corresponding to M consecutive sampling times.

[0103] When the temperature drop deviates from the trend coefficient for L or more consecutive sampling times within the sliding window, the following conditions are met. When >0, it indicates that the first Over a prolonged period, the temperature drop deviation of the cattle and sheep carcasses continued to widen, and the trend of deviating from the normal temperature drop trajectory continued to strengthen. Therefore, it was determined that... The carcasses of cattle and sheep are in a state of accelerated temperature drop;

[0104] When the temperature drop deviates from the trend coefficient for L or more consecutive sampling times within the sliding window, the following conditions are met. When <0, it indicates that the first The temperature drop deviation of the cattle and sheep carcasses continued to decrease over multiple consecutive sampling periods, gradually returning to the normal temperature drop trajectory. This indicates that the... The carcasses of cattle and sheep are in a state of temperature drop and relief.

[0105] The temperature drop deviation trend coefficient does not satisfy L or more consecutive sampling times within the sliding window. >0 and When <0, it indicates that the first The deviation in the carcass temperature of cattle and sheep did not show a sustained increasing or decreasing trend in the time series, and the fluctuation direction frequently alternated or had no significant directionality. Therefore, the first... The carcasses of cattle and sheep are in a state of temperature drop, deviating from a stable state;

[0106] in, For the first A cow or sheep carcass in Before the moment Temperature drop deviation trend coefficient at each sampling time;

[0107] M is the total number of consecutive sampling times included in the sliding window of the temperature drop deviation trend coefficient. M is a preset positive integer, and M≥5.

[0108] L is a preset continuous judgment threshold, and 3 < L < M;

[0109] For the summation index, The value range is (0, M-1).

[0110] The logic for identifying a carcass with abnormal temperature drop is as follows:

[0111] when ≥ And the first When a cattle or sheep carcass is in a state of accelerated temperature drop, it indicates that the temperature at its center has deviated significantly from the overall average level, and this deviation trend continues to widen. This indicates that the temperature at the center of the carcass is significantly below the average level. The carcasses of cattle and sheep exhibited abnormal temperature drops;

[0112] when ≥ And the first When the temperature drop of a cattle or sheep carcass deviates from a stable state, it indicates that the current degree of deviation is relatively high, but the deviation trend has not worsened further, thus determining the first... The carcasses of cattle and sheep exhibited abnormal temperature drops;

[0113] when < And the first When a cattle or sheep carcass is in a state of escalating temperature deviation, it indicates that the current deviation level has not yet reached the threshold, but the deviation trend is rapidly increasing, posing a potential risk of developing into a significant anomaly. This indicates that the first... The carcasses of cattle and sheep exhibited abnormal temperature drops;

[0114] in, The preset temperature drop deviation threshold is used. The setting was based on the statistical distribution characteristics of the temperature drop deviation index of each carcass during the historical normal acid excretion process.

[0115] The logic for determining the abnormality type of each cattle and sheep carcass in the acid removal warehouse is as follows:

[0116] Based on the spatial coordinate data of the abnormal carcass, a set of abnormal carcass coordinates is constructed;

[0117] When the abnormal carcass coordinate set is within the preset spatial distance threshold Within the range, there exists When there are one or more carcasses with abnormal temperature drops, it indicates that multiple carcasses in the area are experiencing abnormal temperature drops simultaneously, and the abnormal carcasses exhibit a clustered distribution in spatial location. This spatial clustering phenomenon reflects that the abnormality is not caused by the internal factors of a single carcass, but is closely related to the overall environmental conditions of the area. The abnormality type of each cattle and sheep carcass in the acid removal warehouse is determined to be a regionally related abnormality.

[0118] When the preset spatial distance threshold Within the range, there is no When there are one or more abnormal carcasses, it indicates that the abnormal carcasses are spatially dispersed, far apart from each other, and have not formed clusters. This reflects that the abnormal temperature drop is not caused by local environmental factors, but by differences in the quality of the carcasses themselves or problems in the individual processing. The abnormality type of each cattle and sheep carcass in the acid removal warehouse is determined to be an isolated abnormality.

[0119] Among them, the preset spatial distance threshold The calibration was performed based on the spacing between the carcasses of cattle and sheep in the aging storage facility;

[0120] This is the preset minimum cluster size threshold, and ≥3.

[0121] The early warning response module generates corresponding early warning signals based on the abnormal types and temperature drop deviations of each cattle and sheep carcass in the acid removal warehouse, and matches differentiated control instructions based on the early warning signals.

[0122] The logic for generating the corresponding early warning signal is as follows:

[0123] When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is a regionally related abnormality, and at least one cattle or sheep carcass is in a state of aggravated temperature drop deviation, a regional diffusion warning signal is generated, indicating that the abnormality is spreading in the region, the temperature drop deviation problem has a risk of spreading, and it is necessary to pay attention to the stability of the overall temperature control environment in the region to prevent the abnormality range from expanding further.

[0124] When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is a regionally related abnormality, and each cattle and sheep carcass is in a state of relief or stability of temperature drop deviation, a regional continuous early warning signal is generated. This indicates that although the abnormal temperature drop phenomenon in the region has not been completely eliminated, the overall trend has become stable or is improving. This suggests that the abnormal state in the region has been controlled to a certain extent, and the current monitoring and adjustment measures should be maintained to prevent the abnormality from recurring.

[0125] When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is an isolated abnormality, and at least one cattle and sheep carcass is in a state of aggravated temperature drop, an individual deterioration warning signal is generated, indicating that the temperature drop problem of the abnormal individual is getting worse, and its changing trend needs to be monitored to prevent the individual's condition from further deteriorating and affecting the final quality.

[0126] When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is an isolated abnormality, and each cattle and sheep carcass is in a state of mitigation of temperature drop deviation or a state of stable temperature drop deviation, an individual abnormality warning signal is generated. This indicates that although the abnormal individual still has a temperature drop deviation, there are no signs of deterioration, and the overall state is relatively stable. It suggests that its changes need to be continuously observed to ensure that its temperature drop process is within a controllable range.

[0127] The execution logic for the differentiated control command based on the early warning signal is as follows:

[0128] When the warning signal is a regional spread warning signal, the regional environmental emergency control and source tracing control instructions are matched to intervene and adjust the overall environmental parameters of the region. At the same time, personnel are organized to conduct a comprehensive investigation of the airflow organization, cargo placement and potential interference factors in the region in order to block the abnormal spread and pinpoint the root cause.

[0129] When the warning signal is a continuous warning signal for the region, the region's cooling optimization and batch tracking instructions are matched, and the cooling operation strategy for the region is finely adjusted to ensure that the environmental conditions gradually return to normal. The entire process of the carcasses of the batch in that region is tracked and recorded to accumulate data for subsequent process verification and quality analysis.

[0130] When the warning signal is an individual deterioration warning signal, the individual source tracing instruction is matched to trace the complete production information of the individual, including the source, processing process and historical monitoring data, in order to find out the underlying cause of the individual's abnormality and take targeted measures accordingly.

[0131] When the warning signal is an individual abnormality warning signal, the individual traceability record instruction is matched to mark the abnormal status of the individual and associate it with its unique identifier to ensure that it is given special attention in subsequent processes. At the same time, the abnormal information is updated in the traceability record of the individual to facilitate subsequent quality traceability and statistical analysis.

[0132] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0133] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution.

[0134] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0135] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. An intelligent monitoring and traceability management system for cattle and sheep slaughtering processes, characterized in that, Includes the following modules: The data acquisition and preprocessing module collects the center temperature data of each cattle and sheep carcass in the aging storage at fixed time intervals. The center temperature data is the temperature data inside the muscle tissue of the cattle and sheep carcass. The module also obtains the spatial coordinate data of the cattle and sheep carcass in the aging storage and preprocesses the collected center temperature data. The temperature drop deviation index calculation module calculates the average temperature and temperature standard deviation of each carcass in the pre-processed aging storage room based on the center temperature data of each carcass in the aging storage room. Based on the center temperature data of each carcass in the aging storage room and the average temperature and temperature standard deviation of each carcass in the aging storage room, it calculates the temperature drop deviation index of each carcass. The anomaly identification and type determination module calculates the temperature drop deviation trend coefficient of each cattle and sheep carcass based on the temperature drop deviation index of each carcass, and determines the temperature drop deviation state of each carcass based on the temperature drop deviation coefficient. Based on the temperature drop deviation index and temperature drop deviation state of each carcass, it identifies carcasses with abnormal temperature drop, and determines the anomaly type of each carcass in the acid removal warehouse based on the spatial coordinate data of the carcasses with abnormal temperature drop. The early warning response module generates corresponding early warning signals based on the abnormal types and temperature drop deviations of each cattle and sheep carcass in the acid removal warehouse, and matches differentiated control commands based on the early warning signals.

2. The intelligent monitoring and traceability management system for cattle and sheep slaughtering process according to claim 1, characterized in that: The method for preprocessing the collected center temperature data is as follows: The preprocessing includes data cleaning and time-series alignment; The data cleaning includes the identification and removal of outliers and duplicate data, and the handling of missing values. Statistical methods are used to identify outliers and duplicate data in the center temperature data, delete outliers and duplicate data in the center temperature data, and fill missing values ​​in the center temperature data with the historical mean, median, or mode of the center temperature data. The time alignment method is as follows: using the sampling time corresponding to a fixed time interval as the reference time point, an equally spaced reference time axis is formed, and the center temperature data of each cattle and sheep carcass is matched with the reference time axis according to the original timestamp to form a center temperature data sequence.

3. The intelligent monitoring and traceability management system for cattle and sheep slaughtering process according to claim 1, characterized in that: The formula used to calculate the average temperature and standard deviation of each cattle and sheep carcass in the aging storage is as follows: in, for The average temperature of each cattle and sheep carcass in the acidification storage room at all times; This is the current sampling time; This refers to the total number of cattle and sheep carcasses in the aging storage facility; For summation index; for Time of the first The core temperature of a cow or sheep carcass; in, for The temperature standard deviation of each cattle and sheep carcass in the acidification storage is monitored at all times.

4. The intelligent monitoring and traceability management system for cattle and sheep slaughtering process according to claim 3, characterized in that: The formula used to calculate the temperature drop deviation index of each cattle and sheep carcass is as follows: in, for Time of the first Temperature drop deviation index of individual cattle and sheep carcasses; It is a preset, extremely small positive number used to prevent the denominator from being zero.

5. The intelligent monitoring and traceability management system for cattle and sheep slaughtering process according to claim 1, characterized in that: The formula used to calculate the temperature drop deviation trend coefficient of each cattle and sheep carcass is as follows: in, for Time of the first Temperature drop deviation trend coefficient of individual cattle and sheep carcasses; for Time of the first Temperature drop deviation index of individual cattle and sheep carcasses; This is a preset, fixed time interval.

6. The intelligent monitoring and traceability management system for cattle and sheep slaughtering process according to claim 5, characterized in that: The logic for determining the deviation of the carcass temperature drop in each cattle and sheep is as follows: A sliding window for the temperature drop deviation trend coefficient of each cattle and sheep carcass is constructed. The sliding window for the temperature drop deviation trend coefficient takes the current time as the end point and extracts the temperature drop deviation trend coefficient corresponding to M consecutive sampling times. When the temperature drop deviates from the trend coefficient for L or more consecutive sampling times within the sliding window, the following conditions are met. When >0, determine the first The carcasses of cattle and sheep are in a state of accelerated temperature drop; When the temperature drop deviates from the trend coefficient for L or more consecutive sampling times within the sliding window, the following conditions are met. When <0, determine the first The carcasses of cattle and sheep are in a state of temperature drop and relief. The temperature drop deviation trend coefficient does not satisfy L or more consecutive sampling times within the sliding window. >0 and When <0, determine the first The carcasses of cattle and sheep are in a state of temperature drop, deviating from a stable state; in, For the first A cow or sheep carcass in Before the moment Temperature drop deviation trend coefficient at each sampling time; M is the total number of consecutive sampling times included in the sliding window of the temperature drop deviation trend coefficient. M is a preset positive integer, and M≥5. L is a preset continuous judgment threshold, and 3 < L < M; For the summation index, The value range is (0, M-1).

7. The intelligent monitoring and traceability management system for cattle and sheep slaughtering process according to claim 6, characterized in that: The logic for identifying a carcass with abnormal temperature drop is as follows: when ≥ And the first When a cattle or sheep carcass is in a state of accelerated temperature drop, determine the first... The carcasses of cattle and sheep exhibited abnormal temperature drops; when ≥ And the first When the temperature of a cattle or sheep carcass deviates from a stable state, determine the first... The carcasses of cattle and sheep exhibited abnormal temperature drops; when < And the first When a cattle or sheep carcass is in a state of accelerated temperature drop, determine the first... The carcasses of cattle and sheep exhibited abnormal temperature drops; in, This is the preset temperature drop deviation index threshold.

8. The intelligent monitoring and traceability management system for cattle and sheep slaughtering process according to claim 7, characterized in that: The logic for determining the abnormality type of each cattle and sheep carcass in the acid removal warehouse is as follows: Based on the spatial coordinate data of the abnormal carcass, a set of abnormal carcass coordinates is constructed; When the abnormal carcass coordinate set is within the preset spatial distance threshold Within the range, there exists When there are one or more carcasses with abnormal temperature drop, the abnormality type of each cattle and sheep carcass in the acid removal warehouse is determined to be a regional correlation type abnormality; When the preset spatial distance threshold Within the range, there is no When there are one or more carcasses with abnormal temperature drop, the abnormality type of each cattle and sheep carcass in the acid removal warehouse is determined to be an isolated abnormality; Among them, the preset spatial distance threshold The calibration was performed based on the spacing between the carcasses of cattle and sheep in the aging storage facility; This is the preset minimum cluster size threshold, and ≥3.

9. The intelligent monitoring and traceability management system for cattle and sheep slaughtering process according to claim 1, characterized in that: The logic for generating the corresponding early warning signal is as follows: When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is a regionally correlated abnormality, and at least one cattle or sheep carcass is in a state of aggravated temperature drop deviation, a regional diffusion warning signal is generated. When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is a regionally correlated abnormality, and each cattle and sheep carcass is in a state of mitigation of temperature drop deviation or a state of stable temperature drop deviation, a regional continuous early warning signal is generated. When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is an isolated abnormality, and at least one cattle and sheep carcass is in a state of aggravated temperature drop, an individual deterioration warning signal is generated; When the abnormality type of each cattle and sheep carcass in the acid removal warehouse is an isolated abnormality, and each cattle and sheep carcass is in a state of relief from temperature drop deviation or a state of stable temperature drop deviation, an individual abnormality warning signal is generated.

10. The intelligent monitoring and traceability management system for cattle and sheep slaughtering process according to claim 9, characterized in that: The execution logic for the differentiated control command based on the early warning signal is as follows: When the warning signal is a regional diffusion warning signal, it is matched with regional environmental emergency control and source tracing and investigation control instructions; When the warning signal is a regional continuous warning signal, match the regional cooling optimization and batch tracking instructions; When the warning signal is an individual deterioration warning signal, it is matched with the individual source tracing instruction; When the warning signal is an individual abnormality warning signal, the individual source tracing record instruction is matched.

Images