Risk management system and method based on food supply chain

Abstract

The invention discloses a risk management system and method based on a food supply chain, and relates to the technical field of food supply chain risk management. The risk management system based on the food supply chain comprises a food transfer and delay monitoring module; a food waste risk assessment module; and a carbon footprint information updating accuracy monitoring module. According to the invention, food transfer and delay monitoring is carried out through the obtained food transfer delay parameters, whether food transfer delay optimization is carried out or not is judged, and if food transfer delay optimization is not carried out, food waste risk level assessment is carried out; and finally, carbon footprint information updating accuracy monitoring is performed through the obtained carbon footprint information updating parameters, and whether food carbon footprint information updating optimization is performed or not is judged, so that the effect of improving the risk management accuracy of the food supply chain based on carbon footprint detection is achieved. The problem of low accuracy of risk management data of a food supply chain based on carbon footprint detection in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of food supply chain risk management, and particularly to a risk management system and method based on the food supply chain. Background Art

[0002] Food supply chain risk management refers to the process of identifying, assessing, controlling, and mitigating potential risks in the food supply chain through systematic methods to ensure food safety, supply stability, and sustainability. With the increasing global attention to carbon emission reduction, carbon footprint management in the food supply chain has become an important issue. By optimizing the risk management of the food supply chain, the environmental impact can be reduced, and carbon emissions can be lowered. In the risk management of the food supply chain, carbon footprint is an important consideration factor. By reducing the carbon footprint, environmental risks can be reduced, and the sustainability of the supply chain can be improved.

[0003] Existing systems mainly rely on blockchain to ensure the transparency and immutability of carbon emission data in the food supply chain. The carbon emission information at each stage can be recorded in the blockchain, so that in case of transportation delays or other problems, the carbon emission situation of each link can be traced. The side chain technology is used to transfer part of the data from the main chain to the side chain for processing to relieve the burden on the main chain.

[0004] For example, a food quality management and safety risk pre-screening model disclosed in the invention patent announcement with the publication number of CN113592338B includes: (1) text data acquisition and preprocessing; the text data is online review text; (2) encoding and vectorizing the preprocessed text data; (3) judging the degree of food safety hazards through the attention score mechanism in supervised deep learning; a new food text mining technology based on the associated attention mechanism, using the mutual information between each word in the consumer reviews and the unsafety label, calculates the association score between each word and food safety hazards, and further mines the potential interaction between consumers and dangerous foods in combination with the attention score in supervised deep learning.

[0005] For example, a product full-life-cycle carbon emission tracking method disclosed in the invention patent application with the publication number of CN119443491A includes: S1. formulating the product definition boundary and truncation standard based on the carbon emission calculation formula; S2. completing data acquisition and accounting according to local conditions, and conducting real-time monitoring and data collection for each link in the product production process.

[0006] However, in the process of implementing the technical solutions of the present invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems: In the prior art, in the food supply chain, material waste and carbon emissions are often closely related. During the transportation of food, due to transportation losses, carbon emissions may be indirectly increased. For foods that are transshipped multiple times (such as fresh foods), the risk of material waste can be evaluated by detecting the carbon footprint. However, during multiple transportation processes, due to transportation delays, the tracking and updating of carbon emission information may be untimely, resulting in the problem of low accuracy of risk management data for the food supply chain based on carbon footprint detection. Summary of the Invention

[0007] Embodiments of the present application provide a risk management system and method based on the food supply chain, which solve the problem of low accuracy of risk management data for the food supply chain based on carbon footprint detection in the prior art, and achieve an improvement in the accuracy of risk management for the food supply chain based on carbon footprint detection.

[0008] Embodiments of the present application provide a risk management system based on the food supply chain, including a food transshipment and delay monitoring module, a food waste risk assessment module, and a carbon footprint information update accuracy monitoring module: Among them, the food transshipment and delay monitoring module is used to monitor food transshipment and delays based on the obtained food transshipment delay parameters, and determine whether to optimize food transshipment delays; the food waste risk assessment module is used to evaluate the food waste risk level if food transshipment delays are not optimized; the carbon footprint information update accuracy monitoring module is used to monitor the accuracy of carbon footprint information update based on the obtained carbon footprint information update parameters, and determine whether to optimize the food carbon footprint information update.

[0009] Embodiments of the present application provide a risk management method based on the food supply chain, including the following steps: S1, monitor food transshipment and delays based on the obtained food transshipment delay parameters, and determine whether to optimize food transshipment delays; S2, if food transshipment delays are not optimized, then evaluate the food waste risk level; S3, monitor the accuracy of carbon footprint information update based on the obtained carbon footprint information update parameters, and determine whether to optimize the food carbon footprint information update.

[0010] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By monitoring food transportation and delays using the obtained food transportation delay parameters, and determining whether to optimize food transportation delays. If no optimization is performed, a food waste risk level assessment is carried out. Finally, by using the obtained carbon footprint information update parameters, the accuracy monitoring of carbon footprint information update is carried out and it is determined whether to optimize the food carbon footprint information update, thus improving the accuracy of food waste risk level assessment and carbon footprint information update, and further improving the accuracy of risk management of the food supply chain based on carbon footprint detection, effectively solving the problem of low data accuracy in risk management of the food supply chain based on carbon footprint detection in the prior art.

[0011] 2. By monitoring the food spoilage rate within a preset time period, then classifying the food information corresponding to when the food spoilage rate is greater than the preset food spoilage rate as the first-level risk of food waste, and finally carrying out the accuracy monitoring of carbon footprint information update for the food information within the first-level risk of food waste, thus improving the effectiveness of food waste risk level assessment, and further improving the effectiveness of carbon footprint information update ability assessment.

[0012] 3. After coupling and processing the food carbon footprint information update data, a weighted operation is performed in combination with the preset carbon emission delay weight to obtain the food and carbon emission update delay value, thus realizing the accurate assessment of the food carbon footprint information update ability, and further improving the reliability of assessing the food carbon footprint information update ability. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic structural diagram of a risk management system based on the food supply chain provided by an embodiment of the present application; Figure 2 It is a flowchart of a risk management method based on the food supply chain provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] In an embodiment of the present application, by providing a risk management system and method based on the food supply chain, the problem of low data accuracy in risk management of the food supply chain based on carbon footprint detection in the prior art is solved. By monitoring food transportation and delays using the obtained food transportation delay parameters, when the food transportation delay impact evaluation value is greater than the preset transportation delay impact threshold, food transportation delay optimization is carried out. When the food transportation delay impact evaluation value is not greater than the preset transportation delay impact threshold, no food transportation delay optimization is carried out; if no food transportation delay optimization is carried out, a food waste risk level assessment is carried out. Finally, by using the obtained carbon footprint information update parameters, the accuracy monitoring of carbon footprint information update is carried out and it is determined whether to optimize the food carbon footprint information update, realizing the improvement of the accuracy of risk management of the food supply chain based on carbon footprint detection.

[0015] The technical solution in the embodiment of the present application aims to solve the problem of low data accuracy in the risk management of the food supply chain based on carbon footprint detection. The general idea is as follows: Food transportation and delay monitoring are carried out based on the obtained food transportation delay parameters, and it is judged whether to optimize food transportation delay. If food transportation delay optimization is not carried out, the food waste risk level assessment is carried out. Finally, the accuracy monitoring of carbon footprint information update is carried out by updating the parameters with the obtained carbon footprint information, and it is judged whether to optimize the food carbon footprint information update, achieving the effect of improving the risk management accuracy of the food supply chain based on carbon footprint detection.

[0016] To better understand the above technical solution, the above technical solution will be described in detail below in combination with the accompanying drawings of the specification and specific implementation manners.

[0017] As Figure 1 shown, it is a schematic structural diagram of a risk management system based on the food supply chain provided by the embodiment of the present application, including a food transportation and delay monitoring module, a food waste risk assessment module, and a carbon footprint information update accuracy monitoring module: Among them, the food transportation and delay monitoring module is used to monitor food transportation and delay based on the obtained food transportation delay parameters, and judge whether to optimize food transportation delay; the food waste risk assessment module is used to carry out food waste risk level assessment if food transportation delay optimization is not carried out; the carbon footprint information update accuracy monitoring module is used to monitor the accuracy of carbon footprint information update based on the obtained carbon footprint information update parameters, and judge whether to optimize the food carbon footprint information update.

[0018] In this embodiment, the food transportation delay impact evaluation value is obtained by the food transportation and delay monitoring module monitoring the food transportation delay parameters. When the food transportation delay impact evaluation value is greater than the preset transportation delay impact threshold, food transportation delay optimization is carried out; when the food transportation delay impact evaluation value is not greater than the preset transportation delay impact threshold, the food waste risk level assessment is carried out by the food waste risk assessment module. By monitoring the food spoilage rate, the food information corresponding to the food spoilage rate greater than the preset food spoilage rate is classified as the first-level risk of food waste, and the accuracy monitoring of carbon footprint information update is carried out by the carbon footprint information update accuracy monitoring module. When the monitored food and carbon emission update delay value is greater than the preset carbon emission update delay threshold, the food carbon footprint information update is optimized, otherwise the corresponding food information is updated to the preset data center; the food transportation and delay monitoring module, the food waste risk assessment module, and the carbon footprint information update accuracy monitoring module cooperate with each other and jointly affect, which helps to improve the accuracy of food waste risk level assessment and carbon footprint information update, and thus realizes the improvement of the risk management accuracy of the food supply chain based on carbon footprint detection.

[0019] In foods that are transported multiple times (such as fresh foods), the accurate tracking and timely updating of carbon footprint information are crucial for assessing the risk of material waste and formulating emission reduction strategies. Through the collaboration of the food transportation and delay monitoring module, the food waste risk assessment module, and the carbon footprint information update accuracy monitoring module, which jointly act on the food supply chain, it helps to improve the accuracy of carbon footprint information update and the precision of food waste risk assessment, providing support for the risk management of the food supply chain.

[0020] Furthermore, the food transportation delay parameters include the average transportation delay time at transportation points, the number of food transports, the average food transportation duration, the average distance between transportation points, and the food shelf life; the food transportation delay parameters are used to jointly act on the food transportation delay data with the preset food transportation delay parameters obtained from the database; the average transportation delay time at transportation points is represented by the difference between the average food transportation duration between adjacent transportation stations within a preset time period and the preset average food transportation duration; the preset food transportation delay parameters include the preset average transportation delay time, the preset number of food transports, the preset average food transportation duration, the preset average distance between transportation points, the preset food shelf life, the preset comprehensive delay impact weight, and the preset food delay and impact weight group; the preset food delay and impact weight group is used to reflect the influence degree of the food transportation delay parameters on the food transportation delay data, specifically including the preset first transportation delay impact weight, the preset second transportation delay impact weight, the preset third transportation delay impact weight, and the preset fourth transportation delay impact weight; the preset comprehensive delay impact weight is used to reflect the influence degree of the food transportation delay data on the food transportation delay impact evaluation value.

[0021] Among them, the difference between the average food transportation duration between adjacent transportation stations within a preset time period and the preset average food transportation duration is monitored by a timer as the average transportation delay time at transportation points; the number of food transports within a preset time period is monitored by a counter as the number of food transports; the average transportation time to reach a transportation point is monitored by a timer as the average food transportation duration; the average value of the distances between transportation points within a preset time period is monitored by GIS (Geographic Information System) technology as the average distance between transportation points; the shelf life on the food packaging is used as the food shelf life.

[0022] The unit of both the average transportation delay time at transportation points and the preset average transportation delay time is seconds; the unit of both the average food transportation duration and the preset average food transportation duration is hours; the unit of both the number of food transports and the preset number of food transports is times; the unit of both the average distance between transportation points and the preset average distance between transportation points is kilometers; the unit of both the food shelf life and the preset food shelf life is months (if the unit is not months, unit conversion is required).

[0023] The carbon footprint information update parameters include the average carbon emission update delay duration, the average carbon emission increase rate, the average transfer delay time at the transportation point, and the food spoilage rate; the carbon footprint information update parameters are used to jointly act on the food carbon footprint information update data together with the preset carbon footprint information update parameters obtained from the database; the average carbon emission update delay duration is represented by the difference between the food carbon footprint information update duration corresponding to the transportation site in the qualified preset time period and the preset food carbon footprint information update duration; the average carbon emission increase rate is represented by the average value of the ratio of the carbon emission increment corresponding to the transportation site in the qualified preset time period to the carbon emission duration; the preset carbon footprint information update parameters include the preset average carbon emission update delay duration, the preset average carbon emission increase rate, the preset average transfer delay time, the preset food spoilage rate, the preset carbon emission delay weight, and the preset carbon emission delay weight group; the preset carbon emission delay weight group includes the preset first carbon emission delay weight, the preset second carbon emission delay weight, and the preset third carbon emission delay weight, which are used to reflect the influence degree of the carbon footprint information update parameters in the qualified preset time period on the food carbon footprint information update data; the preset carbon emission delay weight is used to reflect the influence degree of the food carbon footprint information update data in the qualified preset time period on the food and carbon emission update delay value.

[0024] Among them, the difference between the food carbon footprint information update duration corresponding to the transportation site in the qualified preset time period and the preset food carbon footprint information update duration monitored by a timer is used as the average carbon emission update delay duration; the average value of the ratio of the carbon emission increment corresponding to the transportation site in the qualified preset time period to the carbon emission duration monitored by a greenhouse gas emission monitor is used as the average carbon emission increase rate; the ratio of the number of spoiled foods to the total number of foods in the qualified preset time period monitored by a counter is used as the food spoilage rate.

[0025] The units of the average carbon emission update delay duration and the preset average carbon emission update delay duration are both seconds; the units of the average carbon emission increase rate and the preset average carbon emission increase rate are both kilograms of carbon dioxide per hour; both the food spoilage rate and the preset food spoilage rate have no unit.

[0026] In this embodiment, the aforementioned database is a database for storing various types of set data in the risk management system for food supply chain provided by the embodiments of the present application. The database includes, but is not limited to, preset average transfer delay time, preset food transfer times, preset average food transportation duration, etc. Various values therein are directly set by technicians. For example, the preset food supply risk parameter is represented by the average value of the food supply risk parameters in the corresponding historical time period in the database; the preset food supply risk parameter includes preset average transfer delay time, preset food transfer times, preset average food transportation duration, preset average transportation point distance, preset food shelf life duration, preset average carbon emission update delay duration, preset average carbon emission increase rate, preset food spoilage rate; the food supply risk parameter includes average transfer delay time of transportation points, food transfer times, average food transportation duration, average transportation point distance, food shelf life duration, average carbon emission update delay duration, average carbon emission increase rate, food spoilage rate; both the food transfer delay data and the food carbon footprint information update data are greater than 0; by monitoring the food transfer delay parameter and the carbon footprint information update parameter, the accuracy of evaluating the food transportation delay data update ability and the food carbon footprint information update ability is improved, and further the accuracy of risk management of the food supply chain based on carbon footprint detection is improved.

[0027] It should be added that two mapping groups each containing a mapping set are obtained from the database. The mapping sets are respectively used to reflect the mapping relationship between the food transfer delay parameter and the corresponding preset food delay and influence weight group, and the mapping relationship between the food transfer delay data and the corresponding preset comprehensive delay influence weight; the mapping relationship in the mapping set can be a one-to-one or many-to-one relationship; by inputting the real-time food transfer delay parameter and food transfer delay data into the corresponding mapping group, the corresponding preset food delay and influence weight group and the preset comprehensive delay influence weight can be obtained; for example, the value range of the weight is 0-1.

[0028] Two mapping groups each containing a mapping set are obtained from the database. The mapping sets are respectively used to reflect the mapping relationship between the carbon footprint information update parameter and the corresponding preset carbon emission delay weight group, and the mapping relationship between the food carbon footprint information update data and the corresponding preset carbon emission delay weight; the mapping relationship in the mapping set can be a one-to-one or many-to-one relationship; by inputting the real-time carbon footprint information update parameter and the food carbon footprint information update data into the corresponding mapping group, the corresponding preset carbon emission delay weight group and the preset carbon emission delay weight can be obtained; for example, the value range of the weight is 0-1.

[0029] Further, the specific process of food transportation and delay monitoring based on the obtained food transportation delay parameters is as follows: Food transportation delay data is obtained by processing food transportation delay parameters and preset food transportation delay parameters retrieved from the database; it is determined whether the average transfer delay time at the transportation point is greater than 0. When the average transfer delay time at the transportation point is not greater than 0, food transportation and delay monitoring are not carried out, and the corresponding food information (such as food shelf life, food name, etc.) is updated to the preset data center; when the average transfer delay time at the transportation point is greater than 0, through combining the preset comprehensive delay impact weight and the result of analyzing the proportion degree of the average transfer delay time at the transportation point and the preset average transfer delay time, a superposition weighting operation is performed on the food transportation delay data after coupling processing to obtain a food transportation delay impact evaluation value; Food transportation delay data processing includes food delay and transfer processing, food delay and transportation duration processing, food delay and transportation distance processing, and food delay and food shelf life processing; Food delay and transfer processing is used to analyze the proportion degree of the food transfer times and the preset food transfer times, and then perform a weighting operation in combination with the preset first transfer delay impact weight to obtain a food delay and transfer processing value, which is used to reflect the effect of food transfer times on the update ability of food transportation delay data (such as transportation delay duration, transportation delay times, etc.); Food delay and transportation duration processing is used to analyze the proportion degree of the average food transportation duration and the preset average food transportation duration, and then perform a weighting operation in combination with the preset second transfer delay impact weight to obtain a food delay and transportation duration processing value, which is used to reflect the effect of the average food transportation duration on the update ability of food transportation delay data; Food delay and transportation distance processing is used to analyze the proportion degree of the average transportation point distance and the preset average transportation point distance, and then perform a weighting operation in combination with the preset third transfer delay impact weight to obtain a food delay and transportation distance processing value, which is used to reflect the effect of the average transportation point distance on the update ability of food transportation delay data; Food delay and food shelf life processing is used to analyze the proportion degree of the preset food shelf life and the food shelf life, and then perform a weighting operation in combination with the preset fourth transfer delay impact weight to obtain a food delay and food shelf life processing value, which is used to reflect the effect of food shelf life on the update ability of food transportation delay data; Food transportation delay data includes food delay and transfer processing value, food delay and transportation duration processing value, food delay and transportation distance processing value, and food delay and food shelf life processing value; The food transportation delay impact evaluation value is used to reflect the combined effect of the food transportation delay parameters and the preset food transportation delay parameters on the update ability of food transportation delay data during the preset time period.

[0030] Among them, the food transportation delay impact evaluation value is obtained through the following method: ; In the formula, represents the evaluation value of the impact of food transfer delay in the Z-th preset time period, , Z represents the number of the preset time period, and P represents the total number of the preset time periods, represents the average transfer delay time of the transportation point in the Z-th preset time period, represents the food delay and transfer processing value in the Z-th preset time period, represents the food delay and transportation duration processing value in the Z-th preset time period, represents the food delay and transportation distance processing value in the Z-th preset time period, represents the food delay and food quality preservation processing value in the Z-th preset time period, represents the preset average transfer delay time, represents the preset comprehensive delay impact weight.

[0031] Specifically, , in the formula represents the preset first transfer delay impact weight, represents the number of food transfers in the Z-th preset time period, represents the preset number of food transfers.

[0032] , in the formula represents the preset second transfer delay impact weight, represents the average food transportation duration in the Z-th preset time period, represents the preset average food transportation duration.

[0033] , in the formula represents the preset third transfer delay impact weight, represents the average distance of the transportation point in the Z-th preset time period, represents the preset average distance of the transportation point.

[0034] , in the formula represents the food quality preservation duration in the Z-th preset time period, represents the preset fourth transfer delay impact weight, represents the preset food quality preservation duration.

[0035] In this embodiment, the food transfer delay impact assessment value is obtained by analyzing the food transfer delay data. The larger the food delay and transfer processing value is, the stronger the effect of the food transfer times on the food transportation delay data update ability, resulting in a larger food transfer delay impact assessment value; the larger the food delay and transportation duration processing value is, the stronger the effect of the average food transportation duration on the food transportation delay data update ability, resulting in a larger food transfer delay impact assessment value; the larger the food delay and transportation distance processing value is, the stronger the effect of the average transportation point distance on the food transportation delay data update ability, resulting in a larger food transfer delay impact assessment value; the larger the food delay and food preservation processing value is, the stronger the effect of the food preservation duration on the food transportation delay data update ability, resulting in a larger food transfer delay impact assessment value; in summary, there is a positive correlation between the food transfer delay data and the food transfer delay impact assessment value.

[0036] In this embodiment, the food transfer delay parameters do not exist independently and are interrelated, and comprehensive analysis is required. The more food transfer times there are, the more transfer points the food needs to pass through during transportation, which increases the possibility of encountering delays and may lead to an increase in the average transfer delay time at the transportation points; the increase in transfer times may lead to an extension of the transportation path, and then an increase in the average food transportation duration; the shorter the food preservation duration is, the faster the food needs to be transported to reduce delays, which may lead to a decrease in the average food transportation duration; the larger the average transportation point distance is, the more time and resources are required to complete the transfer, which may lead to an increase in the average food transportation duration and the food transfer times. By analyzing the comprehensive influence between the parameters, the accurate assessment of the food transportation delay data update ability is achieved, and the effect of improving the risk management accuracy of the food supply chain based on carbon footprint detection is achieved.

[0037] Further, the specific process of determining whether to optimize food transfer delays is as follows: Compare the food transfer delay impact assessment value with the preset transfer delay impact threshold obtained from the database; when the food transfer delay impact assessment value is greater than the preset transfer delay impact threshold, mark the corresponding food information as delayed food information and perform food transfer delay optimization; when the food transfer delay impact assessment value is not greater than the preset transfer delay impact threshold, do not perform food transfer delay optimization and conduct a food waste risk level assessment; The specific steps of food transfer delay optimization are as follows: First, send a delayed food information transfer prompt, which indicates prompting a preset person to transfer the delayed food information from the main chain to the first side chain through a side chain method, and the first side chain is used to process the food transport delay data corresponding to the delayed food information; Second, set the number of first side chain nodes, which means setting the number of standby computing nodes on the first side chain at a preset ratio; Third, set the first side chain update frequency. When the monitored food transfer delay impact assessment value is not greater than the preset transfer delay impact threshold, stop the operation. The first side chain update frequency setting means setting the update frequency of the delayed food information on the first side chain at a preset ratio; Food transfer delay optimization is used to improve the update ability of food transport delay data in a preset time period.

[0038] In this embodiment, the preset transfer delay impact threshold is represented by the average value of the food transfer delay impact assessment values in the historical time period; when the food information is marked as delayed food information, the delayed food information is transferred from the main chain to the first side chain (such as a consortium chain) through side chain technology. According to the proportional relationship between the food transfer delay impact assessment value and the preset transfer delay impact threshold, the number of standby computing nodes on the first side chain is gradually increased at the corresponding preset ratio, and the update frequency of the delayed food information on the first side chain is gradually increased at the corresponding preset ratio; For example, the real-time location, temperature, and humidity data of fresh food transportation are independently stored through the side chain, which not only ensures data integrity but also reduces the main chain calculation pressure; Independently processing the food transport delay data corresponding to the delayed food information through the first side chain helps to reduce the main chain calculation pressure, thereby improving the update ability of food transport delay data, and further achieving the effect of improving the risk management accuracy of the food supply chain based on carbon footprint detection.

[0039] Further, the specific process of food waste risk level assessment is as follows: Monitor the food spoilage rate within a preset time period, which is obtained by analyzing the proportion of the number of spoiled foods to the total number of transported foods within the preset time period; Compare the difference between the food spoilage rate and the preset food spoilage rate obtained from the database; When the monitored food spoilage rate is greater than the preset food spoilage rate, classify the corresponding food information as a first-level food waste risk; Monitor the accuracy of carbon footprint information update for the food information within the first-level food waste risk; When the monitored food spoilage rate is not greater than the preset food spoilage rate, classify the corresponding food information as a second-level food waste risk and do not monitor the accuracy of carbon footprint information update.

[0040] The specific process of monitoring the accuracy of carbon footprint information update based on the updated parameters of carbon footprint information obtained is as follows: Determine whether the average carbon emission update delay duration is greater than 0. When the average carbon emission update delay duration is not greater than 0, do not monitor the accuracy of carbon footprint information update, and update the corresponding food information to the preset data center; when the average carbon emission update delay duration is greater than 0, obtain the carbon emission update delay impact value through the analysis of the proportion of the average carbon emission update delay duration and the preset average carbon emission update delay duration; after analyzing the proportion of the average carbon emission increase rate and the preset average carbon emission increase rate, combine the preset first carbon emission delay weight and the carbon emission update delay impact value to perform a weighted operation to obtain the carbon emission delay - increase rate analysis value, which is used to reflect the comprehensive impact of the average carbon emission update delay duration and the average carbon emission increase rate in the qualified preset time period on the update ability of food carbon footprint information (such as, total greenhouse gas emissions, transportation duration of food, etc.); after analyzing the proportion of the average transfer delay time at the transportation point in the qualified preset time period and the preset average transfer delay time, combine the preset second carbon emission delay weight and the carbon emission update delay impact value to perform a weighted operation to obtain the carbon emission delay - transfer delay analysis value, which is used to reflect the comprehensive impact of the average carbon emission update delay duration and the average transfer delay time at the transportation point in the qualified preset time period on the update ability of food carbon footprint information; after analyzing the proportion of the food spoilage rate and the preset food spoilage rate, combine the preset third carbon emission delay weight and the carbon emission update delay impact value to perform a weighted operation to obtain the carbon emission delay - increased food spoilage analysis value, which is used to reflect the comprehensive impact of the average carbon emission update delay duration and the food spoilage rate in the qualified preset time period on the update ability of food carbon footprint information; after performing coupling processing on the food carbon footprint information update data, combine the preset carbon emission delay weight to perform a weighted operation to obtain the food - carbon emission update delay value; the food - carbon emission update delay value is used to reflect the joint action of the carbon footprint information update parameters in the qualified preset time period and the preset carbon footprint information update parameters on the update ability of food carbon footprint information; the food carbon footprint information update data includes the carbon emission delay - increase rate analysis value, the carbon emission delay - transfer delay analysis value, and the carbon emission delay - increased food spoilage analysis value; the qualified preset time period represents the preset time period corresponding to the food transfer delay impact assessment value not being greater than the preset transfer delay impact threshold.

[0041] Among them, the food - carbon emission update delay value is obtained through the following method: ; In the formula, represents the food - carbon emission update delay value in the Y - th qualified preset time period, , Y represents the number of the qualified preset time period, H represents the total number of the qualified preset time periods, Represents the carbon emission delay - increase rate analysis value for the Y - th qualified preset time period, Represents the carbon emission delay - transfer delay analysis value for the Y - th qualified preset time period, Represents the carbon emission delay - food spoilage analysis value for the Y - th qualified preset time period, Represents the average carbon emission update delay duration for the Y - th qualified preset time period, Represents the preset carbon emission delay weight.

[0042] Specifically, , where Represents the preset first carbon emission delay weight, Represents the average carbon emission increase rate for the Y - th qualified preset time period, Represents the preset average carbon emission increase rate.

[0043] , where Represents the preset second carbon emission delay weight, Represents the average transfer delay time at the transportation point for the Y - th qualified preset time period, Represents the preset average transfer delay time.

[0044] , where Represents the preset third carbon emission delay weight, Represents the food spoilage rate for the Y - th qualified preset time period, Represents the preset food spoilage rate.

[0045] , where Represents the carbon emission update delay impact value for the Y - th qualified preset time period, Represents the preset average carbon emission update delay duration.

[0046] In this embodiment, the food information corresponding to a food spoilage rate greater than the preset food spoilage rate is classified as a first - level risk of food waste, and the accuracy monitoring of carbon footprint information update is carried out. The impact of the first - level risk of food waste on the food carbon footprint information update ability may be greater, which helps to more accurately track the carbon footprint corresponding to the food and effectively identify and manage the food waste risk.

[0047] In this embodiment, the data analysis of food carbon footprint information update is combined to obtain the impact value of carbon emission update delay. The larger the carbon emission delay - increase rate analysis value is, it means that the comprehensive impact of the average carbon emission update delay duration and the average increase rate of carbon emissions on the food carbon footprint information update ability is stronger, resulting in a larger carbon emission update delay impact value; the larger the carbon emission delay - transfer delay analysis value is, it means that the comprehensive impact of the average carbon emission update delay duration and the average transfer delay time at the transportation point on the food carbon footprint information update ability is stronger, resulting in a larger carbon emission update delay impact value; the larger the carbon emission delay - food spoilage analysis value is, it means that the comprehensive impact of the average carbon emission update delay duration and the food spoilage rate on the food carbon footprint information update ability is stronger, resulting in a larger carbon emission update delay impact value; in summary, the food carbon footprint information update data is directly proportional to the carbon emission update delay impact value.

[0048] In this embodiment, the carbon footprint information update parameters do not exist independently and are interrelated, and need to be comprehensively analyzed. The average increase rate of carbon emissions means that carbon emission data needs to be updated more frequently to maintain the accuracy and timeliness of information, but frequent updates may cause an increase in the average carbon emission update delay duration, thus unable to reflect the actual changes in carbon emissions in a timely manner; the larger the average transfer delay time at the transportation point is, it may mean that the residence time of food during transportation is prolonged, resulting in an increase in the carbon emissions of food, and then may lead to an increase in the average increase rate of carbon emissions; the food spoilage rate reflects the quality loss situation of food during transportation and storage. The larger the food spoilage rate is, it may mean that the food is more likely to deteriorate during transportation, thus increasing carbon emissions, and then leading to an increase in the average transfer delay time at the transportation point and the average carbon emission update delay duration. By analyzing the comprehensive impact between parameters, the accurate assessment of the food transportation delay data update ability is realized, and further the accuracy of risk management of the food supply chain based on carbon footprint detection is improved.

[0049] Furthermore, the specific process of determining whether to optimize the food carbon footprint information update is as follows: Compare the difference between the food and the carbon emission update delay value and the preset carbon emission update delay threshold obtained from the database; when the food and the carbon emission update delay value is greater than the preset carbon emission update delay threshold, optimize the food carbon footprint information update and mark the corresponding food information as the food information to be optimized; when the food and the carbon emission update delay value is not greater than the preset carbon emission update delay threshold, do not optimize the food carbon footprint information update and update the corresponding food information to the preset data center; the food carbon footprint information update optimization is used to improve the food carbon footprint information update ability within a qualified preset time period.

[0050] It should be added that the specific process of updating and optimizing food carbon footprint information is as follows: Monitor the carbon emission increment deviation in a qualified preset time period, and determine whether the carbon emission increment deviation meets the increment qualification condition; when the carbon emission increment deviation meets the increment qualification condition, update the corresponding food information to the preset data center; when the carbon emission increment deviation does not meet the increment qualification condition, perform a second side-chain transfer optimization; the second side-chain transfer optimization is used to improve the update ability of the food transportation delay data corresponding to the food information to be optimized on the second side-chain; the increment qualification condition means that the carbon emission increment deviation is not greater than 0; the carbon emission increment deviation is obtained by performing a difference operation on the carbon emission increase amount in the qualified preset time period and the preset increase amount threshold.

[0051] In this embodiment, the preset carbon emission update delay threshold is represented by the average value of the food and carbon emission update delay values in the historical time period, and the preset increase amount threshold is represented by the average value of the carbon emission increase amounts in the historical time period; when the food and carbon emission update delay value is greater than the preset carbon emission update delay threshold, mark the corresponding food information as the food information to be optimized and perform the update and optimization of the food carbon footprint information; by transferring the food transportation delay data corresponding to the food information whose carbon emission increment deviation does not meet the increment qualification condition to the second side-chain, the update ability of the food transportation delay data on the second side-chain is improved, and at the same time, the burden of main-chain data processing is reduced, which helps the system to quickly respond and update the food information to ensure the accuracy and timeliness of the carbon footprint data, and thus achieves the effect of improving the risk management accuracy of the food supply chain based on carbon footprint detection.

[0052] Furthermore, the specific process of performing the second side-chain transfer optimization is as follows: W1, send a transfer prompt for the food information to be optimized, and the transfer prompt for the food information to be optimized means prompting the preset personnel to transfer the food information to be optimized from the main chain to the second side-chain by the side-chain method; W2, perform the second side-chain node quantity setting, and the second side-chain node quantity setting means setting the number of standby computing nodes on the second side-chain at a preset ratio; W3, perform the second side-chain update frequency setting, and when the monitored food and carbon emission update delay value is not greater than the preset carbon emission update delay threshold, stop the operation, and the second side-chain update frequency setting means setting the update frequency of the food information to be optimized on the second side-chain at a preset ratio; the second side-chain is used to process the food transportation delay data corresponding to the food information to be optimized.

[0053] Such as Figure 2As shown in the figure, it is a flowchart of the risk management method based on the food supply chain provided by the embodiment of the present application. The embodiment of the present application provides a risk management method based on the food supply chain, including the following steps: S1, food transportation and delay monitoring: Based on the obtained food transportation delay parameters, conduct food transportation and delay monitoring, and determine whether to optimize food transportation delays; S2, food waste risk assessment: If food transportation delay optimization is not performed, then conduct food waste risk level assessment; S3, carbon footprint information update accuracy monitoring: Based on the obtained carbon footprint information update parameters, conduct carbon footprint information update accuracy monitoring, and determine whether to optimize food carbon footprint information update.

[0054] In this embodiment, when receiving the second side-chain transfer optimization prompt, by monitoring the proportional relationship between the increased carbon emissions and the preset increase threshold, the number of standby computing nodes on the second side-chain is increased step by step at the corresponding preset ratio; by monitoring the proportional relationship between the food and carbon emissions update delay value and the preset carbon emissions update delay threshold, the update frequency of the food information to be optimized on the second side-chain is increased step by step at the corresponding preset ratio; the second side-chain is specifically used to process the food transportation delay data corresponding to the food information to be optimized, which helps to separate the food transportation delay data from the main chain and ensure the stability and efficiency of the main chain; by increasing the number of nodes and adjusting the update frequency, the timeliness and accuracy of the food information to be optimized can be ensured, and thus the effect of improving the risk management accuracy of the food supply chain based on carbon footprint detection is achieved.

[0055] In summary, through the obtained food transportation delay parameters, conduct food transportation and delay monitoring, and determine whether to optimize food transportation delays. If food transportation delay optimization is not performed, then conduct food waste risk level assessment. Finally, through the obtained carbon footprint information update parameters, conduct carbon footprint information update accuracy monitoring and determine whether to optimize food carbon footprint information update, thereby realizing the improvement of the accuracy of food waste risk level assessment and carbon footprint information update, and further realizing the improvement of the risk management accuracy of the food supply chain based on carbon footprint detection, effectively solving the problem of low data accuracy in the risk management of the food supply chain based on carbon footprint detection in the prior art.

[0056] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0057] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and combinations of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce means for implementing the functions specified in the process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0058] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including instruction means that implement the functions specified in the process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0059] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in the process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0060] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0061] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A risk management system based on the food supply chain, characterized in that, It includes a food transportation and delay monitoring module, a food waste risk assessment module, and a carbon footprint information update accuracy monitoring module: Among them, the food transportation and delay monitoring module is used to monitor food transportation and delays based on the obtained food transportation delay parameters, and determine whether to optimize food transportation delays; The food waste risk assessment module is used to assess the food waste risk level if food transportation delays are not optimized; The carbon footprint information update accuracy monitoring module is used to monitor the accuracy of carbon footprint information updates based on the obtained carbon footprint information update parameters, and determine whether to optimize food carbon footprint information updates.

2. The risk management system based on the food supply chain according to claim 1, wherein The food transportation delay parameters include the average transfer delay time at transportation points, the number of food transfers, the average food transportation duration, the average distance between transportation points, and the food shelf life; The food transportation delay parameters are used to jointly act on food transportation delay data with preset food transportation delay parameters obtained from the database; The carbon footprint information update parameters include the average carbon emission update delay duration, the average increase rate of carbon emissions, the average transfer delay time at transportation points, and the food spoilage rate; The carbon footprint information update parameters are used to jointly act on food carbon footprint information update data with preset carbon footprint information update parameters obtained from the database.

3. The risk management system based on the food supply chain according to claim 2, characterized in that, The specific process of monitoring food transportation and delays based on the obtained food transportation delay parameters is as follows: Food transportation delay data is obtained by processing food transportation delay parameters and preset food transportation delay parameters obtained from the database; Judge whether the average transfer delay time at the transportation point is greater than 0. When the average transfer delay time at the transportation point is not greater than 0, food transportation and delay monitoring are not performed, and the corresponding food information is updated to the preset data center; When the average transfer delay time at the transportation point is greater than 0, a food transportation delay impact evaluation value is obtained by performing a superposition weighting operation on the coupled food transportation delay data through combining the preset comprehensive delay impact weight and the result of analyzing the proportion degree of the average transfer delay time at the transportation point and the preset average transfer delay time; The food transportation delay data processing includes food delay and transfer processing, food delay and transportation duration processing, food delay and transportation distance processing, and food delay and food shelf life processing; The food delay and transfer processing is used to perform a proportion degree analysis on the number of food transfers and the preset number of food transfers, and then perform a weighting operation by combining the preset first transfer delay impact weight to obtain a food delay and transfer processing value, which is used to reflect the effect of the number of food transfers on the food transportation delay data update ability; The food delay and transportation duration processing is used to perform a proportion degree analysis on the average food transportation duration and the preset average food transportation duration, and then perform a weighting operation by combining the preset second transfer delay impact weight to obtain a food delay and transportation duration processing value, which is used to reflect the effect of the average food transportation duration on the food transportation delay data update ability; The food delay and transportation distance processing is used to analyze the proportion degree of the average transportation point distance and the preset average transportation point distance, and then perform a weighted operation in combination with the preset third transfer delay impact weight to obtain the food delay and transportation distance processing value. The food delay and transportation distance processing value is used to reflect the effect of the average transportation point distance on the food transportation delay data update ability; The food delay and food quality preservation processing is used to analyze the proportion degree of the preset food quality preservation duration and the food quality preservation duration, and then perform a weighted operation in combination with the preset fourth transfer delay impact weight to obtain the food delay and food quality preservation processing value. The food delay and food quality preservation processing value is used to reflect the effect of the food quality preservation duration on the food transportation delay data update ability; The food transfer delay data includes the food delay and transfer processing value, the food delay and transportation duration processing value, the food delay and transportation distance processing value, and the food delay and food quality preservation processing value; The food transfer delay impact evaluation value is used to reflect the combined effect of the preset time period food transfer delay parameters and the preset food transfer delay parameters on the food transportation delay data update ability.

4. The risk management system based on the food supply chain according to claim 3, wherein, The specific process of determining whether to optimize the food transfer delay is as follows: When the food transfer delay impact evaluation value is greater than the preset transfer delay impact threshold, mark the corresponding food information as delayed food information and perform food transfer delay optimization; When the food transfer delay impact evaluation value is not greater than the preset transfer delay impact threshold, do not perform food transfer delay optimization and perform food waste risk level assessment; The specific steps of the food transfer delay optimization are as follows: First step, send a delayed food information transfer prompt. The delayed food information transfer prompt indicates prompting a preset person to transfer the delayed food information from the main chain to the first side chain through a side chain method. The first side chain is used to process the food transportation delay data corresponding to the delayed food information; Second step, perform the first side chain node quantity setting. The first side chain node quantity setting means setting the number of standby computing nodes on the first side chain at a preset ratio; Third step, perform the first side chain update frequency setting. When the monitored food transfer delay impact evaluation value is not greater than the preset transfer delay impact threshold, stop the operation. The first side chain update frequency setting means setting the update frequency of the delayed food information on the first side chain at a preset ratio; The food transfer delay optimization is used to improve the update ability of the food transportation delay data in a preset time period.

5. The risk management system based on the food supply chain according to claim 1, wherein, The specific process of performing the food waste risk level assessment is as follows: Monitor the food spoilage rate within a preset time period. The food spoilage rate is obtained by analyzing the proportion degree of the number of spoiled foods and the total number of transported foods in the preset time period; When the monitored food spoilage rate is greater than the preset food spoilage rate, classify the corresponding food information as a first-level food waste risk; Monitor the accuracy of the carbon footprint information update for the food information within the first-level food waste risk; When the monitored food spoilage rate is not greater than the preset food spoilage rate, classify the corresponding food information as a second-level food waste risk and do not monitor the accuracy of the carbon footprint information update.

6. The risk management system based on the food supply chain according to claim 2, wherein The specific process of monitoring the accuracy of carbon footprint information update based on the updated parameters of the obtained carbon footprint information is as follows: Judge whether the average carbon emission update delay duration is greater than 0. When the average carbon emission update delay duration is not greater than 0, do not monitor the accuracy of carbon footprint information update, and update the corresponding food information to the preset data center; When the average carbon emission update delay duration is greater than 0, obtain the carbon emission update delay impact value by analyzing the proportion of the average carbon emission update delay duration and the preset average carbon emission update delay duration; After analyzing the proportion of the average carbon emission increase rate and the preset average carbon emission increase rate, combine the preset first carbon emission delay weight and the carbon emission update delay impact value to perform a weighted operation to obtain the carbon emission delay - increase rate analysis value, which is used to reflect the comprehensive impact of the average carbon emission update delay duration and the average carbon emission increase rate in the qualified preset time period on the food carbon footprint information update ability; After analyzing the proportion of the average transfer delay time of the transportation points in the qualified preset time period and the preset average transfer delay time, combine the preset second carbon emission delay weight and the carbon emission update delay impact value to perform a weighted operation to obtain the carbon emission delay - transfer delay analysis value, which is used to reflect the comprehensive impact of the average carbon emission update delay duration and the average transfer delay time of the transportation points in the qualified preset time period on the food carbon footprint information update ability; After analyzing the proportion of the food spoilage rate and the preset food spoilage rate, combine the preset third carbon emission delay weight and the carbon emission update delay impact value to perform a weighted operation to obtain the carbon emission delay - increased food spoilage analysis value, which is used to reflect the comprehensive impact of the average carbon emission update delay duration and the food spoilage rate in the qualified preset time period on the food carbon footprint information update ability; After coupling the food carbon footprint information update data, combine the preset carbon emission delay weight to perform a weighted operation to obtain the food - carbon emission update delay value; The food - carbon emission update delay value is used to reflect the joint action of the carbon footprint information update parameters in the qualified preset time period and the preset carbon footprint information update parameters on the food carbon footprint information update ability; The food carbon footprint information update data includes the carbon emission delay - increase rate analysis value, the carbon emission delay - transfer delay analysis value, and the carbon emission delay - increased food spoilage analysis value.

7. The risk management system based on the food supply chain according to claim 6, wherein The specific process of judging whether to optimize the food carbon footprint information update is as follows: When the food - carbon emission update delay value is greater than the preset carbon emission update delay threshold, optimize the food carbon footprint information update, and mark the corresponding food information as the food information to be optimized; When the food - carbon emission update delay value is not greater than the preset carbon emission update delay threshold, do not optimize the food carbon footprint information update, and update the corresponding food information to the preset data center; The food carbon footprint information update optimization is used to improve the food carbon footprint information update ability in the qualified preset time period.

8. The risk management system based on the food supply chain according to claim 1, wherein The specific process of performing the food carbon footprint information update optimization is as follows: Monitor the carbon emission increment deviation in the qualified preset time period, and judge whether the carbon emission increment deviation meets the increment qualification condition; When the carbon emission increment deviation meets the increment qualification condition, update the corresponding food information to the preset data center; When the carbon emission increment deviation does not meet the increment qualification condition, perform the second side-chain transfer optimization; The second side-chain transfer optimization is used to improve the update ability of the food transportation delay data corresponding to the food information to be optimized on the second side-chain; The increment qualification condition means that the carbon emission increment deviation is not greater than 0.

9. The risk management system based on the food supply chain according to claim 8, characterized in that, The specific process of performing the second side-chain transfer optimization is as follows: W1, send a transfer prompt for the food information to be optimized, and the transfer prompt for the food information to be optimized indicates prompting a preset person to transfer the food information to be optimized from the main chain to the second side-chain through the side-chain method; W2, set the number of second side-chain nodes, and the setting of the number of second side-chain nodes means setting the number of standby computing nodes on the second side-chain at a preset ratio; W3, set the second side-chain update frequency. When the food and carbon emission update delay value monitored is not greater than the preset carbon emission update delay threshold, stop the operation. The setting of the second side-chain update frequency means setting the update frequency of the food information to be optimized on the second side-chain at a preset ratio; The second side-chain is used to process the food transportation delay data corresponding to the food information to be optimized.

10. A risk management method based on the food supply chain, characterized in that It includes the following steps: S1, monitor food transfer and delay based on the obtained food transfer delay parameters, and determine whether to optimize food transfer delay; S2, if the food transfer delay is not optimized, then evaluate the food waste risk level; S3, monitor the update accuracy of the carbon footprint information based on the obtained carbon footprint information update parameters, and determine whether to optimize the food carbon footprint information update.

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