A traceability method for agricultural and sideline products processing based on full-process production monitoring

Abstract

The present invention relates to the technical field of product process traceability, and in particular to a method for tracing the processing of agricultural and sideline products based on full-process monitoring of production. The method comprises: obtaining environmental data, duration, and shelf life of each batch of products in different links; analyzing the losses caused by environmental impacts in the links to obtain environmental loss evaluation indicators; determining the risk-gain coefficient according to the changes in the shelf life of the links; and determining the cumulative loss rate of the product in the whole process; determining sensitive batches according to the cumulative loss rate of the products; determining the sensitive index of any link according to the distribution of sensitive batches in any link and the change in the cumulative loss rate of sensitive batches in any link compared with the previous link; determining the positioning priority according to the cumulative loss rate and sensitive index of the whole process of the spoiled product, and performing positioning monitoring on the production link according to the positioning priority. The present invention can quickly and accurately locate and trace the quality problems of agricultural and sideline product processing.

Description

Technical Field

[0001] The present invention relates to the technical field of product process traceability, and in particular to a method for tracing the processing of agricultural and sideline products based on full-production process monitoring. Background Art

[0002] Ensuring the food safety of agricultural and sideline products is a key application scenario for traceability. For example, agricultural and sideline products like meat and dairy products are prone to bacterial growth during transportation and storage. Tracing each stage of their transportation and storage helps control food safety risks. Full-process production monitoring involves real-time monitoring of the entire agricultural and sideline product production process, from raw material collection to finished product shipment. Product processing traceability refers to the ability to trace every step of a product's production. Traceability technology can effectively enhance product transparency and credibility.

[0003] When tracing the origin of agricultural and sideline products, existing methods often track the entire batch process of spoiled products. For example, if spoilage occurs during a transportation link, the entire process of the batch is marked and multiple batches are traced in order from the last batch to the previous one. This traceability method requires complex analysis of multiple batches and processes, and the link with the greatest impact of spoilage is not necessarily the last link. Therefore, directly tracing the origin based on the process sequence can lead to inaccuracies and low traceability efficiency. Summary of the Invention

[0004] In order to solve the technical problems in related technologies that direct traceability based on process sequence may lead to inaccuracy and low traceability efficiency, the present invention provides a traceability method for agricultural and sideline products processing based on full production process monitoring. The technical solutions adopted are as follows:

[0005] The present invention proposes a method for tracing the origin of agricultural and sideline products based on full-process monitoring of production, the method comprising:

[0006] Obtain environmental data, duration, and shelf life of each batch of products at different stages of the process;

[0007] Based on the environmental data, duration and shelf life of each link, the losses caused by environmental impact in the link are analyzed to obtain the environmental loss evaluation index of the link;

[0008] Determine the risk-gain coefficient of the product at the current stage based on the changes in the shelf life of the product in each stage before the current stage; determine the cumulative loss rate of the product in the entire process by combining the environmental loss evaluation indicators and risk-gain coefficient of each stage before the current stage;

[0009] Sensitive batches are identified based on the cumulative loss rate of each batch of products; sensitive indicators of any link are determined based on the distribution of sensitive batches at any link and the change in the cumulative loss rate of sensitive batches at any link compared to the previous link;

[0010] According to the cumulative loss rate and sensitive indicators of each link in the entire process of the spoiled product, the positioning priority of each link is determined, and the production link is positioned and monitored according to the positioning priority.

[0011] Furthermore, the environmental data is a temperature value. According to the environmental data, duration, and shelf life of each link, the loss caused by the environmental impact in the link is analyzed to obtain the environmental loss evaluation index of the link, including:

[0012] At different sampling moments in each link, obtain the product temperature value and the preset maximum temperature of the product in the link;

[0013] The variance of the temperature values ​​at all sampling moments is taken as the temperature dispersion coefficient;

[0014] According to the difference between the preset maximum temperature and the temperature value at each sampling moment, the temperature control preservation in the link is analyzed to determine the preservation normal coefficient;

[0015] Normalize the difference between the temperature dispersion coefficient and the stored normal coefficient to obtain the environmental impact coefficient of the link;

[0016] Based on the difference between the duration of the link and the shelf life of the link and the environmental impact coefficient, the environmental loss evaluation index of the link is determined.

[0017] Furthermore, based on the difference between the preset maximum temperature and the temperature value at each sampling moment, the temperature control preservation in the link is analyzed to determine the preservation normality coefficient, including:

[0018] The difference between the preset maximum temperature and the temperature value at each sampling moment is taken as the maximum temperature difference at the corresponding sampling moment;

[0019] Calculate the sum of the maximum temperature differences at all sampling moments as the preservation normal coefficient.

[0020] Furthermore, based on the difference between the duration of each link and its shelf life and the environmental impact coefficient, the environmental loss evaluation index of each link is determined, including:

[0021] Determine the safe shelf life based on the link shelf life, where the safe shelf life is half of the link shelf life;

[0022] The difference between the duration of the link and the safety and quality assurance period is used as the duration analysis indicator;

[0023] Calculate the product of the duration analysis index and the environmental impact coefficient, and use the ReLU function to map the product value to obtain the environmental loss evaluation index.

[0024] Furthermore, based on the changes in the shelf life of the product in each link before the current link, the risk-benefit coefficient of the product in the current link is determined, including:

[0025] Calculate the difference in shelf life between the current link and the previous link to obtain the shelf life difference of the current link, and perform maximum and minimum normalization on the shelf life difference of the current link as the shelf life change indicator;

[0026] The number of links before the current link whose shelf life difference is less than 0 is used as the first coefficient indicator;

[0027] The difference between the first coefficient index and the shelf life change index is normalized to the maximum and minimum values ​​to obtain the risk gain coefficient of the current link.

[0028] Furthermore, the cumulative loss rate of the product in the entire process is determined by combining the environmental loss evaluation indicators and risk-benefit coefficients of each link before the current link, including:

[0029] The product of the environmental loss evaluation index and the risk gain coefficient of each link is used as the loss gain factor;

[0030] Calculate the sum of the loss gain factors of all links before the current link and normalize them as the cumulative loss rate.

[0031] Furthermore, sensitive batches are determined based on the cumulative loss rate of each batch of products, including:

[0032] Batches whose cumulative loss rate is greater than a preset loss threshold are regarded as sensitive batches.

[0033] Furthermore, based on the distribution of sensitive batches at any link and the cumulative loss rate change of sensitive batches at any link compared with the previous link, the sensitive indicators of any link are determined, including:

[0034] Take any link as the analysis link, calculate the proportion of sensitive batches in the analysis link to all batches under the analysis link, and obtain the sensitive proportion;

[0035] Calculate the difference between the cumulative loss rate of the same batch in the analysis link and the cumulative loss rate of the previous link as the loss difference of the corresponding batch, and take the average of the loss differences of all batches in the analysis link as the loss sensitivity coefficient;

[0036] The product of the sensitivity ratio and the loss sensitivity coefficient is normalized to obtain the sensitivity index.

[0037] Furthermore, based on the cumulative loss rate and sensitivity indicators of each link in the entire process of spoiled products, the positioning priority of each link is determined, including:

[0038] The stage when the spoiled product is detected to be spoiled is regarded as the spoilage stage;

[0039] The cumulative loss rate and value of all links from the initial link to the deterioration link are taken as the deterioration loss rate;

[0040] The ratio of the cumulative loss rate of spoiled products in each link to the spoilage loss rate is used as the loss concern level;

[0041] From the initial stage to the deterioration stage, the product value of the loss concern and sensitivity index of the same stage is calculated as the positioning priority of the corresponding stage.

[0042] Furthermore, positioning monitoring of the production process is performed according to the positioning priority, including:

[0043] Each link from the initial link to the metamorphic link is sorted in descending order of the positioning priority, and positioning analysis is performed according to the sorting order.

[0044] The present invention has the following beneficial effects:

[0045] In an embodiment of the present invention, multi-dimensional data analysis is performed through environmental data, duration, and the shelf life of each link product, so that the traceability of spoiled products can be achieved quickly and efficiently. First, the environmental loss evaluation index caused by environmental impact is determined in combination with the objective conditions of environmental data, duration, and link shelf life. Secondly, the risk gain coefficient is determined according to the change of the link shelf life in the process, and the cumulative loss rate is further determined. The cumulative loss in the process can be analyzed from multiple dimensions, and sensitive batches can be further determined. The sensitive indicators of the link are determined by the proportion of sensitive batches and the change of the cumulative loss rate, and the positioning priority calculation is realized. The production link is positioned and monitored according to the positioning priority. Therefore, in an embodiment of the present invention, through positioning priority analysis, the problems of inaccuracy and low traceability efficiency caused by tracing directly according to the process sequence can be avoided. In combination with the environmental loss characteristics and shelf life of different links themselves, more objective and reliable link analysis can be achieved, and the quality problems of agricultural and sideline product processing can be quickly and accurately located and traced. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0047] Figure 1 A flowchart of a method for tracing the origin of agricultural and sideline products based on full-process monitoring of production provided by one embodiment of the present invention;

[0048] Figure 2 A schematic diagram of the distribution of sensitive batch links provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation method, structure, features and effects of a method for tracing the source of agricultural and sideline products based on full-process production monitoring proposed by the present invention. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics of one or more embodiments may be combined in any suitable form.

[0050] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0051] The following describes in detail a specific scheme of a method for tracing the source of agricultural and sideline products based on full-process monitoring of production provided by the present invention with reference to the accompanying drawings.

[0052] See also Figure 1 , which shows a flow chart of a method for tracing the origin of agricultural and sideline products based on full-process monitoring of production, provided by one embodiment of the present invention. The method includes:

[0053] S101: Obtain the environmental data, duration and shelf life of each batch of products in different links.

[0054] Ensuring the food safety of agricultural and sideline products is a key application scenario for traceability. For example, agricultural and sideline products like meat and dairy products are prone to bacterial growth during transportation and storage. Tracing each stage of their transportation and storage helps control food safety risks. Full-process production monitoring involves real-time monitoring of the entire agricultural and sideline product production process, from raw material collection to finished product shipment. Product processing traceability refers to the ability to trace every step of a product's production. Traceability technology can effectively enhance product transparency and credibility.

[0055] When it comes to agricultural and sideline product processing traceability, existing methods often track spoiled products throughout their entire batch process. For example, if spoilage occurs during transportation, the entire batch of products is marked and traced back to the previous batch. This traceability method involves complex analysis of multiple batches and processes, leading to inaccurate analysis.

[0056] For example, a batch of products may deteriorate rapidly due to an unsuitable environment in the previous process, but deteriorate after two processes. In this case, traceability starts from the last process, which will make it impossible to immediately determine the real abnormal link, resulting in inaccurate and untimely analysis and low efficiency. A reliable and efficient traceability analysis method is urgently needed.

[0057] In an embodiment of the present invention, by analyzing the risks of each link in the production process of batch products and the risk accumulation in the entire process, the sensitivity of each link in the product production process is obtained, and then rapid location and traceability can be achieved when spoiled products appear.

[0058] Since the primary factors affecting the deterioration of agricultural and sideline products are environment and time, first of all, the environmental data and duration of different links of different batches of products are obtained, and the shelf life of each product in each link is determined. The shelf life of this link is the shelf life specified under the corresponding link.

[0059] It should be noted that product degradation rates vary depending on storage conditions. For example, high temperatures can accelerate bacterial growth, leading to faster product degradation in high-temperature environments. Given the same amount of time, the worse the storage environment, the faster the product will degrade.

[0060] Therefore, in different links, corresponding sensors can be used directly to obtain environmental data such as temperature and humidity, and further determine the duration of the link and the shelf life of the products in each link.

[0061] For example, a storage warehouse is used as a storage link, and the product is apples. This batch of apples is stored in the warehouse for 3 days. The average temperature in the warehouse is 25 degrees Celsius. The flavor shelf life of the warehouse at 25 degrees Celsius is 7 days. The corresponding environmental data can be obtained as 25 degrees Celsius, duration is 3 days, and link shelf life is 7 days.

[0062] It should be noted that in the embodiments of the present invention, to facilitate computational analysis, all indicator data involved in the calculations are preprocessed to eliminate dimension effects. Specific means for eliminating dimension effects are well known to those skilled in the art and are not limited here.

[0063] S102: Analyze the losses caused by environmental impact in each link based on the environmental data, duration, and shelf life of the link to obtain an environmental loss evaluation index for the link.

[0064] The analysis of the above steps, combined with real-world conditions, shows that conditions such as temperature and humidity affect product quality at every stage. The specific conditions need to be determined based on the specific product's storage environment requirements. Temperature is used as an example for analysis here. The higher the temperature, the higher the risk of spoilage for agricultural and sideline products. At every stage of the product's lifecycle, there is a certain amount of product loss. This loss is objectively caused by factors such as temperature and shelf life. This aspect requires analysis to determine the environmental loss evaluation indicators caused by environmental influences.

[0065] Furthermore, in some embodiments of the present invention, based on the environmental data, duration and shelf life of each link, the loss caused by environmental impact in the link is analyzed to obtain the environmental loss evaluation index of the link, including: obtaining the temperature value of the product and the preset maximum temperature of the product in the link at different sampling moments in each link; taking the variance of the temperature values ​​at all sampling moments as the temperature dispersion coefficient; analyzing the temperature control preservation in the link based on the difference between the preset maximum temperature and the temperature value at each sampling moment to determine the normal preservation coefficient; normalizing the difference between the temperature dispersion coefficient and the normal preservation coefficient as the environmental impact coefficient of the link; determining the environmental loss evaluation index of the link based on the difference between the duration of the link and the shelf life of the link and the environmental impact coefficient.

[0066] Among them, the preset maximum temperature is the temperature indicator of the link process. Since the product has a corresponding optimal environment in different links, a preset maximum temperature is set for each link. That is, if the temperature is exceeded, it indicates that the environment in the link is abnormal. For example, cold chain transportation requires the temperature to be below -18°C. At this time, the preset maximum temperature of the link corresponding to the cold chain transportation is -18°C.

[0067] In the embodiment of the present invention, the temperature dispersion coefficient represents the discrete index of the temperature distribution. It can be understood that the larger the value of the temperature dispersion coefficient at all sampling moments, the more drastic the corresponding temperature change, and the more uneven the temperature distribution in the entire link. Uneven temperature changes will make the state of the agricultural and sideline products themselves unstable and more likely to cause deterioration.

[0068] Among them, the closer the temperature value at each sampling moment is to the preset maximum temperature, the higher the preservation risk of agricultural and sideline products at the corresponding temperature value. Therefore, the temperature difference between the preset maximum temperature and the temperature value at each sampling moment is combined to realize the calculation of the preservation normal coefficient.

[0069] Furthermore, in some embodiments of the present invention, the temperature control preservation in the link is analyzed based on the difference between the preset maximum temperature and the temperature value at each sampling moment to determine the preservation normal coefficient, including: taking the difference between the preset maximum temperature and the temperature value at each sampling moment as the maximum temperature difference at the corresponding sampling moment; calculating the sum of the maximum temperature differences at all sampling moments as the preservation normal coefficient.

[0070] Among them, analysis is performed through the temperature value difference, that is, the smaller the maximum temperature difference, the larger the temperature value at the corresponding sampling moment, that is, the greater the preservation is affected, and the larger the maximum temperature difference, the smaller the temperature value at the corresponding sampling moment, and the lower the preservation environment temperature value. For agricultural and sideline products, the more normal the preservation conditions are, and the greater the preservation normality coefficient.

[0071] In an embodiment of the present invention, the difference between the temperature dispersion coefficient and the preserved normal coefficient is normalized and used as the environmental impact coefficient of the link. Therefore, the environmental impact coefficient represents the abnormal impact of the environment itself. The larger the value of the environmental impact coefficient, the less suitable the environment is for the link requirements of the agricultural and sideline products themselves.

[0072] Furthermore, in some embodiments of the present invention, the environmental loss evaluation index of the link is determined based on the difference between the duration of the link and the shelf life of the link and the environmental impact coefficient, including: determining the safe shelf life based on the shelf life of the link, wherein the safe shelf life is half of the shelf life of the link; taking the difference between the duration of the link and the safe shelf life as the duration analysis index; calculating the product value of the duration analysis index and the environmental impact coefficient, and using the ReLU function to map the product value to obtain the environmental loss evaluation index.

[0073] Among them, the safe shelf life is the optimal shelf life of agricultural and sideline products. It is understandable that the link shelf life is the maximum shelf life of agricultural and sideline products within the link. However, since agricultural and sideline products require a certain degree of freshness redundancy in the future to cope with sudden environmental changes and transportation anomalies, as well as the impact of subsequent links, the safe shelf life is obtained by shortening the link shelf life by half. The difference between the duration of the link and the safe shelf life is used as the duration analysis index. If the value of the duration analysis index is less than 0, it means that the corresponding duration is less than the safe shelf life, and if the value of the duration analysis index is greater than 0, it means that the corresponding duration is greater than the safe shelf life. The larger the value of the duration analysis index, the greater the overall environmental loss.

[0074] Therefore, the product of the duration analysis index and the environmental impact coefficient is calculated, and the ReLU function is used to map the product value to obtain the environmental loss evaluation index. Since when the duration analysis index is less than 0, it means that it is within the safe shelf life, the ReLU function maps the parameter less than 0 to 0, indicating that the environmental loss evaluation index is 0. If the value of the duration analysis index is greater than 0, the value mapped by the corresponding ReLU function to the product value increases as the value of the duration analysis index increases. Therefore, the environmental loss evaluation index represents the loss evaluation of each link. By analyzing each link separately according to its shelf life and loss, the environmental loss evaluation index of each link is obtained, which reflects the risk of deterioration caused by natural consumption of the product under different storage environments in each link.

[0075] S103: Determine the risk-gain coefficient of the product at the current stage based on the changes in the shelf life of the product in each stage before the current stage; determine the cumulative loss rate of the product in the entire process by combining the environmental loss evaluation indicators and risk-gain coefficient of each stage before the current stage.

[0076] During the production and processing of products, changes in the state of the product may lead to changes in its own storage period. For example, the shelf life of freshly harvested, unprocessed milk in refrigerated state is 1-2 days, while the shelf life can be extended to 1-2 weeks after pasteurization. If it is dried and processed into milk powder, the shelf life can be extended to half a year to one year. Conversely, there is also the case of a shortened shelf life after processing. For example, the shelf life of fresh vegetables in refrigerated state is about one week, but the shelf life will be shortened to 1-2 days when processed into vegetable juice (without preservatives).

[0077] Environmental loss assessment indicators are based directly on the risk of deterioration derived from the product's storage environment. However, the properties of the product itself can change between different stages of the production process. The production processes are interconnected, and risks in earlier stages can impact subsequent stages. When the shelf life between stages remains unchanged, the impact can be considered linear. However, when the shelf life, which serves as the basis for measuring loss, changes, the impact between stages requires analysis based on the specific shelf life changes.

[0078] Furthermore, in some embodiments of the present invention, the risk-gain coefficient of the product in the current link is determined based on the change in the shelf life of the product in each link before the current link, including: calculating the difference in shelf life between the current link and the previous link to obtain the shelf life difference of the current link, normalizing the shelf life difference of the current link to the maximum and minimum values ​​as a shelf life change indicator; taking the number of shelf life differences of all links before the current link that are less than 0 as the first coefficient indicator; and normalizing the difference between the first coefficient indicator and the shelf life change indicator to the maximum and minimum values ​​to obtain the risk-gain coefficient of the current link.

[0079] Among them, the difference in shelf life between the current link and the previous link is calculated to obtain the shelf life difference of the current link. If the shelf life difference is less than 0, it means that the shelf life of the product becomes shorter after processing, which means that its storage conditions become more stringent. Therefore, if the loss evaluation of all links before the shelf life becomes shorter is greater, the impact on the link with a shorter shelf life will be greater.

[0080] That is, the larger the value of the first coefficient index is, the larger the number of links before the current link whose shelf life has shortened is, that is, the more obvious the effect of the current link itself becoming unstable is. Therefore, the shelf life difference of the current link is normalized to the maximum and minimum values ​​as the shelf life change index. The smaller the value of the shelf life change index is, the shorter the shelf life of the current link is, the more unstable the effect is, and the gain needs to be increased.

[0081] The difference between the first coefficient index and the shelf life change index is normalized to its maximum and minimum values ​​to obtain the risk gain coefficient of the current link. The risk gain coefficient represents the risk gain coefficient calculated by combining the shelf life change of the entire process and the shelf life change characteristics of the current link itself.

[0082] Furthermore, in some embodiments of the present invention, the environmental loss evaluation index and risk gain coefficient of each link before the current link are combined to determine the cumulative loss rate of the product in the entire process, including: taking the product of the environmental loss evaluation index and the risk gain coefficient of each link as the loss gain factor; calculating the sum of the loss gain factors of all links before the current link, and normalizing them as the cumulative loss rate.

[0083] Through the environmental loss evaluation indicators and risk-gain coefficients of the entire process, environmental loss analysis and shelf life risk-gain analysis are carried out, and the cumulative loss rate is calculated cumulatively. This can analyze the cumulative loss characteristics of the entire process. Compared with the loss analysis obtained directly based on the environmental data in the storage environment, it takes into account the impact of shelf life changes between links, and the results are more in line with the actual situation.

[0084] S104: Determine sensitive batches based on the cumulative loss rate of each batch of products; determine the sensitive indicators of any link based on the distribution of sensitive batches in any link and the change in the cumulative loss rate of sensitive batches in any link compared with the previous link.

[0085] Furthermore, in some embodiments of the present invention, sensitive batches are determined based on the cumulative loss rate of each batch of products, including: batches with a cumulative loss rate greater than a preset loss threshold are regarded as sensitive batches.

[0086] Among them, the preset loss threshold is the threshold value of the cumulative loss rate. The preset loss threshold in the embodiment of the present invention can be specifically 0.4, for example. That is to say, batches with a cumulative loss rate greater than 0.4 are regarded as sensitive batches.

[0087] The sensitive batches in the embodiment of the present invention correspond to sensitive product batch information caused by environmental and process losses. Abnormal analysis of links is performed through sensitive batches, making the analysis more convenient.

[0088] The number of sensitive batches and loss variations in different stages of a process enable objective sensitivity analysis of the stages themselves. This objective sensitivity analysis can characterize the abnormal effects of a stage, thus avoiding the inaccurate impact of abnormality analysis based solely on environmental factors.

[0089] Since the links of different batches of products may be different, the link sensitivity index analysis can be carried out by combining the processes of all sensitive batches in the link, see Figure 2 , Figure 2 A schematic diagram of the distribution of sensitive batch links provided by an embodiment of the present invention.

[0090] Furthermore, in some embodiments of the present invention, the sensitive index of any link is determined based on the distribution of sensitive batches in any link and the change in the cumulative loss rate of sensitive batches in any link and the previous link, including: taking any link as an analysis link; calculating the proportion of sensitive batches in the analysis link in all batches in the analysis link to obtain the sensitive proportion; calculating the difference between the cumulative loss rate of the same batch in the analysis link and the cumulative loss rate of the previous link as the loss difference of the corresponding batch, and taking the average of the loss differences of all batches in the analysis link as the loss sensitivity coefficient; normalizing the product value of the sensitive proportion and the loss sensitivity coefficient to obtain the sensitive index.

[0091] Among them, the proportion of sensitive batches in the analysis link among all batches in the analysis link is calculated to obtain the sensitive proportion. The higher the value of the sensitive proportion, the greater the weight of the sensitive batch in the analysis link. At this time, the abnormal effect of the analysis link itself is more obvious. The abnormal effect may be the abnormal influence of the analysis link itself, or it may be the influence of the previous link in the process. Therefore, the analysis is performed through the loss sensitivity coefficient.

[0092] The difference between the cumulative loss rate of the same batch in the analysis phase and the cumulative loss rate of the previous phase is calculated as the loss difference for that batch. The average of the loss differences for all batches in the analysis phase is used as the loss sensitivity coefficient. The loss difference represents the loss impact of the analysis phase remaining after eliminating the influence of the previous phases. The loss sensitivity coefficient is then averaged across all batches of products in the analysis phase. This loss sensitivity coefficient is an objective sensitivity analysis indicator for the analysis phase. The loss sensitivity coefficient can be used to analyze anomalies at different phases.

[0093] S105: Determine the positioning priority of each link based on the cumulative loss rate and sensitive indicators of each link in the entire process of the spoiled product, and conduct positioning monitoring of the production link based on the positioning priority.

[0094] During the entire process, if feedback about a product deterioration is received (quality inspection feedback or customer feedback during the production process), and the product is identified as deteriorating, the priority analysis of different links can be performed based on the cumulative loss rate and sensitivity indicators of each link in the entire process of the deteriorated product.

[0095] Based on the cumulative loss rate and sensitive indicators of each link in the entire process of the deteriorated product, the positioning priority of each link is determined, including: the link when the deteriorated product is detected as the deterioration link; the cumulative loss rate and value of all links from the initial link to the deterioration link are used as the deterioration loss rate; the ratio of the cumulative loss rate of the deteriorated product in each link to the deterioration loss rate is used as the loss concern; from the initial link to the deterioration link, the product value of the loss concern and the sensitive indicator of the same link is calculated as the positioning priority of the corresponding link.

[0096] Among them, the positioning priority is the preference degree of link positioning in the traceability process. The larger the positioning priority value is, the higher the priority of abnormality analysis is in the corresponding link when performing spoilage traceability positioning. Therefore, in the embodiment of the present invention, the proportion of the cumulative loss rate of spoiled products in each link is determined as the loss attention degree. The higher the loss attention degree is, the more obvious the abnormality of the corresponding link is. The product value of the sensitivity index of the link itself is used as the positioning priority of the corresponding link.

[0097] Production links are monitored based on location priority, including sorting each link from the initial stage to the spoilage stage in descending order of location priority and performing location analysis based on the sorted order. This means arranging each link from highest to lowest location priority, enabling traceability of agricultural and sideline product processing based on full-process monitoring.

[0098] In an embodiment of the present invention, multi-dimensional data analysis is performed through environmental data, duration, and the shelf life of each link product, so that the traceability of spoiled products can be achieved quickly and efficiently. First, the environmental loss evaluation index caused by environmental impact is determined in combination with the objective conditions of environmental data, duration, and link shelf life. Secondly, the risk gain coefficient is determined according to the change of the link shelf life in the process, and the cumulative loss rate is further determined. The cumulative loss in the process can be analyzed from multiple dimensions, and sensitive batches can be further determined. The sensitive indicators of the link are determined by the proportion of sensitive batches and the change of the cumulative loss rate, and the positioning priority calculation is realized. The production link is positioned and monitored according to the positioning priority. Therefore, in an embodiment of the present invention, through positioning priority analysis, the problems of inaccuracy and low traceability efficiency caused by tracing directly according to the process sequence can be avoided. In combination with the environmental loss characteristics and shelf life of different links themselves, more objective and reliable link analysis can be achieved, and the quality problems of agricultural and sideline product processing can be quickly and accurately located and traced.

[0099] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0100] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A method for tracing the origin of agricultural and sideline products based on full-process monitoring of production, characterized in that: The method comprises: Obtain environmental data, duration, and shelf life of each batch of products at different stages of the process; Based on the environmental data, duration and shelf life of each link, the losses caused by environmental impact in the link are analyzed to obtain the environmental loss evaluation index of the link; Determine the risk-gain coefficient of the product at the current stage based on the changes in the shelf life of the product in each stage before the current stage; determine the cumulative loss rate of the product in the entire process by combining the environmental loss evaluation indicators and risk-gain coefficient of each stage before the current stage; Sensitive batches are identified based on the cumulative loss rate of each batch of products; sensitive indicators of any link are determined based on the distribution of sensitive batches at any link and the change in the cumulative loss rate of sensitive batches at any link compared to the previous link; Determine the positioning priority of each link based on the cumulative loss rate and sensitive indicators of each link in the entire process of the spoiled product, and conduct positioning monitoring of the production link based on the positioning priority; Based on the distribution of sensitive batches at any link and the change in the cumulative loss rate of sensitive batches at any link compared to the previous link, the sensitive indicators of any link are determined, including: Take any link as the analysis link, calculate the proportion of sensitive batches in the analysis link to all batches under the analysis link, and obtain the sensitive proportion; Calculate the difference between the cumulative loss rate of the same batch in the analysis link and the cumulative loss rate of the previous link as the loss difference of the corresponding batch, and take the average of the loss differences of all batches in the analysis link as the loss sensitivity coefficient; Normalize the product of the sensitivity ratio and the loss sensitivity coefficient to obtain the sensitivity index; Based on the cumulative loss rate and sensitivity indicators of each link in the entire process of spoiled products, determine the positioning priority of each link, including: The stage when the spoiled product is detected to be spoiled is regarded as the spoilage stage; The cumulative loss rate and value of all links from the initial link to the deterioration link are taken as the deterioration loss rate; The ratio of the cumulative loss rate of spoiled products in each link to the spoilage loss rate is used as the loss concern level; From the initial stage to the deterioration stage, the product value of the loss concern and sensitivity index of the same stage is calculated as the positioning priority of the corresponding stage.

2. The agricultural and sideline products processing traceability method based on full-process production monitoring according to claim 1, characterized in that: The environmental data is a temperature value. According to the environmental data, duration and shelf life of each link, the loss caused by the environmental impact in the link is analyzed to obtain the environmental loss evaluation index of the link, including: At different sampling moments in each link, obtain the product temperature value and the preset maximum temperature of the product in the link; The variance of the temperature values ​​at all sampling moments is taken as the temperature dispersion coefficient; According to the difference between the preset maximum temperature and the temperature value at each sampling moment, the temperature control preservation in the link is analyzed to determine the preservation normal coefficient; Normalize the difference between the temperature dispersion coefficient and the stored normal coefficient to obtain the environmental impact coefficient of the link; Based on the difference between the duration of the link and the shelf life of the link and the environmental impact coefficient, the environmental loss evaluation index of the link is determined.

3. The agricultural and sideline products processing traceability method based on full production process monitoring according to claim 2, characterized in that: Based on the difference between the preset maximum temperature and the temperature value at each sampling moment, analyze the temperature control preservation in the link and determine the preservation normal coefficient, including: The difference between the preset maximum temperature and the temperature value at each sampling moment is taken as the maximum temperature difference at the corresponding sampling moment; Calculate the sum of the maximum temperature differences at all sampling moments as the preservation normal coefficient.

4. The agricultural and sideline products processing traceability method based on full-process production monitoring according to claim 2, characterized in that: Based on the difference between the duration of each link and its shelf life and the environmental impact coefficient, the environmental loss evaluation indicators of each link are determined, including: Determine the safe shelf life based on the link shelf life, where the safe shelf life is half of the link shelf life; The difference between the duration of the link and the safety and quality assurance period is used as the duration analysis indicator; Calculate the product of the duration analysis index and the environmental impact coefficient, and use the ReLU function to map the product value to obtain the environmental loss evaluation index.

5. The agricultural and sideline products processing traceability method based on full-process production monitoring according to claim 1, characterized in that: Determine the risk-benefit coefficient of the product at the current stage based on the changes in the shelf life of the product in each stage before the current stage, including: Calculate the difference in shelf life between the current link and the previous link to obtain the shelf life difference of the current link, and perform maximum and minimum normalization on the shelf life difference of the current link as the shelf life change indicator; The number of links before the current link whose shelf life difference is less than 0 is used as the first coefficient indicator; The difference between the first coefficient index and the shelf life change index is normalized to the maximum and minimum values ​​to obtain the risk gain coefficient of the current link.

6. The agricultural and sideline products processing traceability method based on full-process production monitoring according to claim 1, characterized in that: Combine the environmental loss evaluation indicators and risk-benefit coefficients of each link before the current link to determine the cumulative loss rate of the product in the entire process, including: The product of the environmental loss evaluation index and the risk gain coefficient of each link is used as the loss gain factor; Calculate the sum of the loss gain factors of all links before the current link and normalize them as the cumulative loss rate.

7. The agricultural and sideline products processing traceability method based on full-process production monitoring according to claim 1, characterized in that: Sensitive batches are determined based on the cumulative loss rate of each batch of products, including: Batches whose cumulative loss rate is greater than a preset loss threshold are regarded as sensitive batches.

8. The agricultural and sideline products processing traceability method based on full-process production monitoring according to claim 1, characterized in that: Positioning and monitoring of the production process is performed according to the positioning priority, including: Each link from the initial link to the metamorphic link is sorted in descending order of the positioning priority, and positioning analysis is performed according to the sorting order.

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