Agricultural product live broadcast supply chain management system based on digital twinborn technology

Abstract

The invention relates to the technical field of live broadcast supply chain management, and discloses an agricultural product live broadcast supply chain management system based on a digital twin technology, which comprises a data acquisition module and a supply chain management module. According to the system, monitoring data of all links in an agricultural product supply chain, interaction data of a plurality of live broadcasting rooms and order data are acquired through a data acquisition module and are classified to form a data set, and a supply chain management module analyzes and generates a product score, a region score and a risk index; the supply chain management module is used for measuring the satisfaction degree of consumers to the quality of agricultural products and the regional agricultural product stock level, a supply chain is accurately optimized, and the satisfaction degree of the consumers is high; whether delay or unsalable sales exists in the supply chain, the satisfaction degree of consumers to the quality of agricultural products and the stock level of each provincial warehouse are judged, corresponding judgment results are generated and then transmitted to an enterprise information system, management strategies are dynamically adjusted, and the response speed is high.

Description

Technical Field

[0001] The present invention relates to the technical field of live broadcast supply chain management, and specifically to a live broadcast supply chain management system for agricultural products based on digital twin technology. Background Art

[0002] With the development of digital technology, agricultural product supply chain management is gradually transforming towards intelligence and precision. As an emerging agricultural product marketing channel, live streaming sales have put forward higher requirements for the responsiveness, transparency and flexibility of the supply chain. Digital twins consist of three parts: physical entities, digital models and data connections. Physical entities are entities in the real world, digital models are the core, and data connections are the technology that connects the two. Digital twins can monitor, predict and optimize the behavior and performance of physical entities in real time. For example, through remote monitoring and maintenance, equipment failures can be discovered and resolved in a timely manner to reduce production downtime. By integrating digital twin technology and intelligent algorithms, a comprehensive, efficient and transparent solution can be provided for the live streaming supply chain management of agricultural products. It can not only improve the operational efficiency of the supply chain, but also enhance consumer experience and promote the healthy development of live streaming sales of agricultural products.

[0003] At present, it is difficult for traditional agricultural product live broadcast supply chain management systems to explore the supply and demand relationship behind the live broadcast room traffic data. It is easy for some areas to have insufficient inventory and unsalable inventory in other areas, resulting in delayed delivery and agricultural product quality problems, and low consumer satisfaction. In addition, when dealing with unforeseen changes in the supply chain, it is difficult to promptly discover management loopholes in each link, and it is impossible to dynamically adjust the supply chain strategy, resulting in a slow response speed. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the existing technology, the present invention provides a live broadcast supply chain management system for agricultural products based on digital twin technology, which solves the problems of poor product quality stability, low consumer satisfaction, inability to dynamically adjust supply chain strategies, and slow response speed in traditional live broadcast supply chain management systems for agricultural products.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a live broadcast supply chain management system for agricultural products based on digital twin technology, comprising a data acquisition module and a supply chain management module;

[0008] The data acquisition module is composed of a supply data unit, a live broadcast data unit and a market data unit. The supply data unit is connected to the enterprise information system through the network to collect a supply data set, and the supply data set includes monitoring data of all links in the agricultural product supply chain. The live broadcast data unit is connected to the big data platform through the network to collect a live broadcast data set, and the live broadcast data set includes interactive data at all time points in multiple agricultural product live broadcast rooms. The market data unit is connected to the big data platform through the network to collect an order data set, and the order data set includes order data at all time points in the agricultural product live broadcast room. The data acquisition module transmits the supply data set, the live broadcast data set and the order data set to the supply chain management module through the network;

[0009] The supply chain management module consists of a product analysis unit, a market analysis unit and a risk management unit. The product analysis unit analyzes and generates a product score Ncpf based on the live broadcast data set and the order data set, which is used to measure consumer satisfaction with the quality of agricultural products and is transmitted to the risk management unit through the network. The market analysis unit analyzes and generates a regional score Dqpf based on the supply data set and the order data set, which is used to measure the regional inventory level of agricultural products and is transmitted to the risk management unit through the network. The risk management unit analyzes and generates a risk index Fxzs based on the supply data set, and then combines the product score Ncpf and the regional score Dqpf to judge the fluctuation state of each link in the agricultural product supply chain, and after generating the corresponding judgment result, transmits it to the enterprise information system through the network.

[0010] Preferably, the agricultural product supply chain includes production, processing, storage, sales and transportation, and the supply data set is expressed as {G sc , G jg , G cu , G ys}, G sc represents the monitoring data of the production link in the agricultural product supply chain. The monitoring data of the production link is the production cycle. jg G represents the monitoring data of the processing link in the agricultural product supply chain. The monitoring data of the processing link is the processing cycle. cu G represents the monitoring data of the storage link in the agricultural product supply chain. The monitoring data of the storage link includes warehouse location and inventory. ys It represents the monitoring data of the transportation link in the agricultural product supply chain. The monitoring data of the transportation link is the transportation cycle.

[0011] Preferably, the expression of the live broadcast data set is {Z1 s 、Z2 s 、Z3 s 、...、Zh s}, Z1 s To Zh sThe interactive data at all time points in each agricultural product live broadcast room correspond to each other. The interactive data include the number of comments and the total after-sales score. s represents the interaction duration of a single agricultural product live broadcast room, and 1 to h means that there are h live broadcast rooms selling agricultural products.

[0012] Preferably, the expression of the order data set is {D1 t 、D2 t 、D3 t ,...,Dh t}, D1 t To Dn t The order data at all time points in each agricultural product live broadcast room correspond in turn. The order data includes the purchase quantity and delivery address. t represents the time point when a single agricultural product live broadcast room generates order data. 1 to h represent that there are h live broadcast rooms selling agricultural products.

[0013] Preferably, the product score Ncpf calculation process is as follows:

[0014] Extract the interactive data of all time points in the i-th agricultural product live broadcast room in the live broadcast dataset and mark it as Zi s , and then Zi s The number of comments in the Zi s The total after-sales rating in is marked as

[0015] According to Zi s The interaction time s of the live broadcast room in the order dataset corresponds to the order data of the same time point in the i-th agricultural product live broadcast room in the order dataset, and is marked as Di t , and then Di t The purchase quantity in

[0016]

[0017] In the formula, Ncpf represents the product rating, represents the number of comments in the i-th agricultural product live broadcast room divided by the interaction time of the live broadcast room, and the interaction frequency per minute is obtained. α represents the weight of the interaction frequency per minute in the product rating calculation formula. represents the ratio of the purchase quantity in the i-th agricultural product live broadcast room to the total after-sales score of the live broadcast room, β represents the weight of the ratio of the purchase quantity in the live broadcast room to the total after-sales score in the product score calculation formula, α and β are both constants, and α+β=1, It means that the product score of the i-th agricultural product live broadcast room is calculated according to the α and β weights, taking into account the ratio of the interaction frequency and purchase quantity per minute in the live broadcast room and the total after-sales score.

[0018] Preferably, the calculation process of the regional score Dqpf is as follows:

[0019] According to the order data set, the order data of all agricultural product live broadcast rooms are counted, and the purchase quantity of all orders is marked as Mark all orders with the delivery address

[0020] Based on the supply dataset, the monitoring data of the storage link in the agricultural product supply chain is collected and all warehouse locations are marked as Mark the inventory levels in all warehouses as

[0021] Based on the purchase quantity of all orders The purchase quantity of extracted city j is marked as

[0022] According to the purchase quantity of city j Extract inventory from all warehouses The corresponding inventory of province k is marked as Among them, the orders from city j belong to the warehouse in province k for shipment and transportation;

[0023]

[0024] In the formula, Dqpf represents the regional score, represents the ratio of the purchase quantity of city j to the inventory of province k, γ represents the weight of the ratio of the purchase quantity of city j to the inventory of province k in the regional score calculation formula, represents the ratio of the inventory of province k to the inventory of all warehouses, μ represents the weight of the ratio of the inventory of province k to the inventory of all warehouses in the regional score calculation formula, γ and μ are both constants, and γ+μ=1, It means that the regional score of province k is calculated according to the weights of γ and μ, the ratio of the city's purchase quantity to the province's inventory and the ratio of the province's inventory to the inventory of all warehouses.

[0025] Preferably, the risk index Fxzs calculation process is as follows:

[0026]

[0027] In the formula, Fxzs represents the risk index, B sc The fixed parameter representing the risk index calculation formula to measure whether the production cycle is delayed is the standard growth cycle. The ratio of the production cycle monitored in the agricultural product supply chain to the standard growth cycle is the production risk index, B jg The risk index calculation formula measures whether the processing cycle is delayed by a fixed parameter, which is the standard processing cycle. The ratio of the monitored processing cycle to the standard processing cycle in the agricultural product supply chain is the processing risk index. The risk index calculation formula measures whether all warehouse inventories are unsalable with fixed parameters, which is the standard inventory. It represents the ratio of all warehouse inventory monitored in the agricultural product supply chain to the standard inventory, which is the storage risk index. ys The risk index calculation formula measures whether the transportation cycle is delayed by a fixed parameter, which is the standard transportation cycle. The ratio of the monitored transportation cycle in the agricultural product supply chain to the standard transportation cycle is the transportation risk index.

[0028] Preferably, when the production risk index in the risk index Fxzs is greater than 1, it indicates that delays have occurred in the production link in the agricultural product supply chain; when the processing risk index in the risk index Fxzs is greater than 1, it indicates that delays have occurred in the processing link in the agricultural product supply chain; when the storage risk index in the risk index Fxzs is greater than 1, it indicates that the storage link in the agricultural product supply chain has become unsalable; when the transportation risk index in the risk index Fxzs is greater than 1, it indicates that delays have occurred in the transportation link in the agricultural product supply chain.

[0029] Preferably, the risk management unit is provided with a standard score CBF for agricultural products, and the product scores Ncpf of all live broadcast rooms are compared with the standard score CBF for agricultural products in turn. If the product score Ncpf of a single live broadcast room is lower than the standard score CBF for agricultural products, it indicates that the consumers in the live broadcast room are less satisfied with the quality of agricultural products.

[0030] Preferably, the risk management unit is provided with a standard regional score BDF, and the regional scores Dqpf of all provinces are compared with the standard regional score BDF in turn. If the regional score Dqpf of a single province is lower than the standard regional score BDF, it indicates that the inventory level of agricultural products in the province is poor.

[0031] Compared with the prior art, the present invention provides a live broadcast supply chain management system for agricultural products based on digital twin technology, which has the following beneficial effects:

[0032] 1. The present invention connects the enterprise information system and the big data platform through a data acquisition module network, obtains monitoring data of all links in the agricultural product supply chain, interactive data and order data in multiple agricultural product live broadcast rooms, and classifies them into supply data sets, live broadcast data sets and order data sets. The supply chain management module analyzes and generates a product score Ncpf based on the live broadcast data set and the order data set, which is used to measure consumer satisfaction with the quality of agricultural products. The supply chain management module analyzes and generates a regional score Dqpf based on the supply data set and the order data set, which is used to measure the regional inventory level of agricultural products. The supply chain management module analyzes and generates a risk index Fxzs based on the supply data set, perceives the dynamic changes of each link in real time, and promptly discovers management loopholes in some links, providing intuitive indicators for enterprise managers, accurately optimizing the supply chain, and achieving high consumer satisfaction.

[0033] 2. The present invention uses the supply chain management module to judge whether there is a delay or unsalable phenomenon in the agricultural product supply chain according to the production risk index, processing risk index, storage risk index and transportation risk index in the risk index Fxzs, and then judges the satisfaction of consumers in each live broadcast room with the quality of agricultural products and the inventory level of agricultural products in warehouses in each province according to the agricultural product standard score CBF and the standard area score BDF, so as to keenly perceive the supply and demand relationship behind the data, avoid delayed delivery and agricultural product quality problems, generate corresponding judgment results, and transmit them to the enterprise information system through the network, dynamically adjust the management strategy, and respond quickly. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Since traditional agricultural product live broadcast supply chain management systems are difficult to mine the supply and demand relationship behind the live broadcast room traffic data, it is easy for some regions to have insufficient inventory and other regions to have unsalable inventory, which leads to delayed delivery and agricultural product quality problems, and low consumer satisfaction. In addition, in response to unforeseen changes in the supply chain, it is difficult to timely discover management loopholes in each link, and it is impossible to dynamically adjust the supply chain strategy, and the response speed is slow. Therefore, an agricultural product live broadcast supply chain management system based on digital twin technology is provided. Please refer to Figure 1 ,The system includes a data acquisition module and a supply chain management module.

[0037] The data collection module consists of a supply data unit, a live broadcast data unit, and a market data unit. The supply data unit collects supply data sets through a network connection to the enterprise information system. The supply data set includes monitoring data of all links in the agricultural product supply chain, including production, processing, storage, sales, and transportation. The expression of the supply data set is {G sc , G jg , G cu , G ys}, G sc G represents the monitoring data of the production link in the agricultural product supply chain. The monitoring data of the production link is the production cycle. The production cycle refers to the total time from sowing to maturity of crops. jg G represents the monitoring data of the processing link in the agricultural product supply chain. The monitoring data of the processing link is the processing cycle. The processing cycle refers to the total time it takes for crops to be peeled, cleaned and processed into agricultural products. cu Represents the monitoring data of the storage link in the agricultural product supply chain. The monitoring data of the storage link includes warehouse locations and inventory. The warehouse locations are stored in the form of a list. ys It represents the monitoring data of the transportation link in the agricultural product supply chain. The monitoring data of the transportation link is the transportation cycle. The transportation cycle refers to the average transportation time of agricultural products under normal logistics conditions. The live broadcast data set and the market data set belong to the sales link in the agricultural product supply chain. Collecting real-time monitoring data of the production, processing, storage, sales and transportation links in the agricultural product supply chain is conducive to real-time perception of the dynamic changes of each link, timely discovery of management loopholes in some links, and avoidance of supply chain disruptions.

[0038] The live broadcast data unit collects live broadcast data sets through the network connection to the big data platform. The live broadcast data set includes the interactive data of all time points in multiple agricultural product live broadcast rooms. The expression of the live broadcast data set is [Z1 s 、Z2 s 、Z3 s 、...、Zh s}, Z1 s To Zh s The interactive data corresponding to all time points in each agricultural product live broadcast room include the number of comments and the total after-sales score. For example, the full score of the after-sales score mechanism is 5 points, 1 point is very dissatisfied, 2 points are dissatisfied, 3 points are average, 4 points are satisfied, and 5 points are very satisfied. s represents the interaction time of a single agricultural product live broadcast room, and the interaction time is the live broadcast time. 1 to h means that there are h live broadcast rooms selling agricultural products.

[0039] The market data unit collects the order data set through the network connection big data platform. The order data set includes the order data at all time points in the agricultural product live broadcast room. The expression of the order data set is {D1t 、D2 t 、D3 t ,...,Dh t}, D1 t To Dn t The order data at all time points in each agricultural product live broadcast room correspond in sequence. The order data includes the purchase quantity and delivery address. The delivery address is stored in the form of a list. t represents the time point when a single agricultural product live broadcast room generates order data. 1 to h represent that there are h live broadcast rooms selling agricultural products.

[0040] The data collection module transmits the supply data set, live broadcast data set and order data set to the supply chain management module through the network. The supply chain management module consists of a product analysis unit, a market analysis unit and a risk management unit. The product analysis unit analyzes and generates a product score Ncpf based on the live broadcast data set and the order data set. The calculation process is as follows:

[0041] Extract the interactive data of all time points in the i-th agricultural product live broadcast room in the live broadcast dataset and mark it as Zi s , and then Zi s The number of comments in the Zi s The total after-sales rating in is marked as That is, the total after-sales rating of all consumers in the i-th agricultural product live broadcast room;

[0042] According to Zi s The interaction time s of the live broadcast room in the order dataset corresponds to the order data of the same time point in the i-th agricultural product live broadcast room in the order dataset, and is marked as Di t , and then Di t The purchase quantity in is marked as

[0043]

[0044] In the formula, Ncpf represents the product rating, represents the number of comments in the i-th agricultural product live broadcast room divided by the interaction time of the live broadcast room, and the interaction frequency per minute is obtained. α represents the weight of the interaction frequency per minute in the product rating calculation formula. represents the ratio of the purchase quantity in the i-th agricultural product live broadcast room to the total after-sales score of the live broadcast room, β represents the weight of the ratio of the purchase quantity in the live broadcast room to the total after-sales score in the product score calculation formula, α and β are both constants, and α+β=1, It means that according to the α and β weights, the ratio of the interaction frequency per minute and the purchase quantity in the live broadcast room to the total after-sales score is calculated to get the product score of the ith agricultural product live broadcast room. Similarly, the product scores Ncpf of multiple live broadcast rooms are calculated, which can digitally measure consumers' satisfaction with the quality of agricultural products.

[0045] The market analysis unit analyzes and generates the regional score Dqpf based on the supply data set and the order data set. The calculation process is as follows:

[0046] According to the order data set, the order data of all agricultural product live broadcast rooms are counted, and the purchase quantity of all orders is marked as Mark all orders with the delivery address Stored in list form, not involved in calculation;

[0047] Based on the supply dataset, the monitoring data of the storage link in the agricultural product supply chain is collected and all warehouse locations are marked as Stored in list form, not involved in calculations, and mark the inventory of all warehouses as

[0048] Based on the purchase quantity of all orders The purchase quantity of extracted city j is marked as

[0049] According to the purchase quantity of city j Extract inventory from all warehouses The corresponding inventory of province k is marked as Among them, the orders from city j belong to the warehouse in province k for shipment and transportation;

[0050]

[0051] In the formula, Dqpf represents the regional score, represents the ratio of the purchase quantity of city j to the inventory quantity of province k, γ represents the weight of the ratio of the purchase quantity of city to the inventory quantity of province in the regional score calculation formula, represents the ratio of the inventory of province k to the inventory of all warehouses, μ represents the weight of the ratio of the inventory of province k to the inventory of all warehouses in the regional score calculation formula, γ and μ are both constants, and γ+μ=1, It means that according to the weights of γ and μ, the ratio of the city's purchase quantity to the provincial inventory quantity and the ratio of the provincial inventory to the inventory of all warehouses are comprehensively calculated to get the regional score of province k. And so on, the regional score of each provincial warehouse is calculated. Digitally measuring regional agricultural product inventory levels is more intuitive.

[0052] The risk management unit analyzes and generates the risk index Fxzs based on the supply data set. The calculation process is as follows:

[0053]

[0054] In the formula, Fxzs represents the risk index, B sc The fixed parameter representing the risk index calculation formula to measure whether the production cycle is delayed is the standard growth cycle. The ratio of the production cycle monitored in the agricultural product supply chain to the standard growth cycle is the production risk index, B jg The risk index calculation formula measures whether the processing cycle is delayed by a fixed parameter, which is the standard processing cycle. The ratio of the monitored processing cycle to the standard processing cycle in the agricultural product supply chain is the processing risk index. The risk index calculation formula measures whether all warehouse inventories are unsalable with fixed parameters, which is the standard inventory. It represents the ratio of all warehouse inventory monitored in the agricultural product supply chain to the standard inventory, which is the storage risk index. ys The risk index calculation formula measures whether the transportation cycle is delayed by a fixed parameter, which is the standard transportation cycle. The transportation risk index is the ratio of the monitored transportation cycle in the agricultural product supply chain to the standard transportation cycle. The risk index includes production risk index, processing risk index, storage risk index and transportation risk index, which provides intuitive indicators for enterprise managers, helps to accurately optimize the supply chain and improve consumer satisfaction.

[0055] The risk management unit determines the fluctuation status of each link in the agricultural product supply chain based on the risk index Fxzs, product score Ncpf and regional score Dqpf, keenly perceives the supply and demand relationship behind the data, avoids delayed delivery and agricultural product quality problems, generates corresponding judgment results and transmits them to the enterprise information system through the network.

[0056] When the production risk index in the risk index Fxzs is greater than 1, it means that the production link in the agricultural product supply chain has been delayed. When the processing risk index in the risk index Fxzs is greater than 1, it means that the processing link in the agricultural product supply chain has been delayed. When the storage risk index in the risk index Fxzs is greater than 1, it means that the storage link in the agricultural product supply chain has been unsalable. When the transportation risk index in the risk index Fxzs is greater than 1, it means that the transportation link in the agricultural product supply chain has been delayed.

[0057] The risk management unit is set up with the agricultural product standard score CBF, and compares the product scores Ncpf of all live broadcast rooms with the agricultural product standard score CBF in turn. If the product score Ncpf of a single live broadcast room is lower than the agricultural product standard score CBF, it means that the consumers in this live broadcast room are less satisfied with the quality of agricultural products.

[0058] The risk management unit is set up with a standard regional score BDF, and compares the regional scores Dqpf of all provinces with the standard regional score BDF in turn. If the regional score Dqpf of a single province is lower than the standard regional score BDF, it means that the agricultural product inventory level in the province is poor, and the management strategy is adjusted dynamically with a fast response speed.

[0059] Example 1: In this experiment, fresh corn was selected as the experimental object. The agricultural product was sold only through the live broadcast room. According to statistics, the live broadcast room was broadcast for 2 hours on May 1, 2024, and a total of 110 kilograms of fresh corn were sold. The number of comments in the live broadcast room within 2 hours was 638, and the total after-sales score within 2 hours was 324 points. The product score Ncpf calculation formula of the live broadcast room is as follows:

[0060]

[0061] In the formula, Ncpf represents the product rating, represents the number of comments in the i-th agricultural product live broadcast room divided by the interaction time of the live broadcast room, and the interaction frequency per minute is about 5 per minute. 0.4 represents the weight of the interaction frequency per minute in the product rating calculation formula. It represents the ratio of the purchase quantity in the ith agricultural product live broadcast room to the total after-sales score of the live broadcast room. 0.6 represents the weight of the ratio of the purchase quantity in the live broadcast room to the total after-sales score in the product score calculation formula. α and β are both constants, and 0.4+0.6=1. According to the weights of α and β, the interaction frequency per minute in the live broadcast room and the ratio of the purchase quantity to the total after-sales score are comprehensively considered, and the product score of the agricultural product live broadcast room is calculated to be approximately 2.3 points.

[0062] Example 2: In this experiment, the warehouse in the Yangtze River Delta region was selected as the experimental object, and fresh lotus root was selected as the sales product of the live broadcast room. According to statistics, the purchase quantity of all fresh lotus root orders in the live broadcast room was 8799 kg, of which 590 kg were purchased in Hangzhou. The inventory of fresh lotus root in the warehouse in the Yangtze River Delta region was 10,000 kg, and the inventory of fresh lotus root in all warehouses across the country was 16,200 kg. The orders in Hangzhou were shipped by the warehouse in the Yangtze River Delta region. The regional score Dqpf calculation formula of the warehouse in the Yangtze River Delta region is as follows:

[0063]

[0064] In the formula, Dqpf represents the regional score, It represents the ratio of the purchase quantity in Hangzhou to the warehouse inventory in the Yangtze River Delta region. 0.7 represents the weight of the ratio of the purchase quantity in a city to the inventory in a province in the regional score calculation formula. It represents the ratio of the inventory of warehouses in the Yangtze River Delta region to the inventory of fresh lotus roots in all warehouses across the country. 0.3 represents the weight of the ratio of the inventory of a province to the inventory of all warehouses in the regional score calculation formula. γ and μ are both constants, and 0.7+0.3=1. According to the weights of γ and μ, the ratio of the city's purchase quantity to the provincial inventory and the ratio of the provincial inventory to the inventory of all warehouses are comprehensively considered. It is calculated that the regional score of the warehouse in the Yangtze River Delta region is approximately 0.23 points.

[0065] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Agricultural product live broadcast supply chain management system based on digital twin technology, characterized by: Including data collection module and supply chain management module; The data acquisition module is composed of a supply data unit, a live broadcast data unit and a market data unit. The supply data unit is connected to the enterprise information system through the network to collect a supply data set, and the supply data set includes monitoring data of all links in the agricultural product supply chain. The live broadcast data unit is connected to the big data platform through the network to collect a live broadcast data set, and the live broadcast data set includes interactive data at all time points in multiple agricultural product live broadcast rooms. The market data unit is connected to the big data platform through the network to collect an order data set, and the order data set includes order data at all time points in the agricultural product live broadcast room. The data acquisition module transmits the supply data set, the live broadcast data set and the order data set to the supply chain management module through the network; The supply chain management module consists of a product analysis unit, a market analysis unit and a risk management unit. The product analysis unit analyzes and generates a product score Ncpf based on the live broadcast data set and the order data set, which is used to measure consumer satisfaction with the quality of agricultural products and is transmitted to the risk management unit through the network. The market analysis unit analyzes and generates a regional score Dqpf based on the supply data set and the order data set, which is used to measure the regional inventory level of agricultural products and is transmitted to the risk management unit through the network. The risk management unit analyzes and generates a risk index Fxzs based on the supply data set, and then combines the product score Ncpf and the regional score Dqpf to judge the fluctuation state of each link in the agricultural product supply chain, and after generating the corresponding judgment result, transmits it to the enterprise information system through the network.

2. The agricultural product live broadcast supply chain management system based on digital twin technology according to claim 1 is characterized by: The agricultural product supply chain includes production, processing, storage, sales and transportation. The supply data set is expressed as {G sc , G jg , G cu , G ys }, G sc represents the monitoring data of the production link in the agricultural product supply chain. The monitoring data of the production link is the production cycle. jg G represents the monitoring data of the processing link in the agricultural product supply chain. The monitoring data of the processing link is the processing cycle. cu G represents the monitoring data of the storage link in the agricultural product supply chain. The monitoring data of the storage link includes warehouse location and inventory. ys It represents the monitoring data of the transportation link in the agricultural product supply chain. The monitoring data of the transportation link is the transportation cycle.

3. The agricultural product live broadcast supply chain management system based on digital twin technology according to claim 2 is characterized by: The expression of the live broadcast data set is {Z1 s 、Z2 s 、Z3 s 、...、Zh s }, Z1 s To Zh s The interactive data at all time points in each agricultural product live broadcast room correspond to each other. The interactive data include the number of comments and the total after-sales score. s represents the interaction duration of a single agricultural product live broadcast room, and 1 to h means that there are h live broadcast rooms selling agricultural products.

4. The agricultural product live broadcast supply chain management system based on digital twin technology according to claim 3 is characterized by: The expression of the order data set is {D1 t 、D2 t 、D3 t ,...,Dh t }, D1 t To Dn t The order data at all time points in each agricultural product live broadcast room correspond in turn. The order data includes the purchase quantity and delivery address. t represents the time point when a single agricultural product live broadcast room generates order data. 1 to h represent that there are h live broadcast rooms selling agricultural products.

5. The agricultural product live broadcast supply chain management system based on digital twin technology according to claim 4 is characterized by: The product score Ncpf calculation process is as follows: Extract the interactive data of all time points in the i-th agricultural product live broadcast room in the live broadcast dataset and mark it as Zi s , and then Zi s The number of comments in the Zi s The total after-sales rating in is marked as According to Zi s The interaction time s of the live broadcast room in the order dataset corresponds to the order data of the same time point in the i-th agricultural product live broadcast room in the order dataset, and is marked as Di t , and then Di t The purchase quantity in In the formula, Ncpf represents the product rating, represents the number of comments in the i-th agricultural product live broadcast room divided by the interaction time of the live broadcast room, and the interaction frequency per minute is obtained. α represents the weight of the interaction frequency per minute in the product rating calculation formula. represents the ratio of the purchase quantity in the i-th agricultural product live broadcast room to the total after-sales score of the live broadcast room, β represents the weight of the ratio of the purchase quantity in the live broadcast room to the total after-sales score in the product score calculation formula, α and β are both constants, and α+β=1, It means that the product score of the i-th agricultural product live broadcast room is calculated according to the α and β weights, taking into account the ratio of the interaction frequency and purchase quantity per minute in the live broadcast room and the total after-sales score.

6. The agricultural product live broadcast supply chain management system based on digital twin technology according to claim 5 is characterized by: The calculation process of the regional score Dqpf is as follows: According to the order data set, the order data of all agricultural product live broadcast rooms are counted, and the purchase quantity of all orders is marked as Mark all orders with the delivery address Based on the supply dataset, the monitoring data of the storage link in the agricultural product supply chain is collected and all warehouse locations are marked as Mark the inventory levels in all warehouses as Based on the purchase quantity of all orders The purchase quantity of extracted city j is marked as According to the purchase quantity of city j Extract inventory from all warehouses The corresponding inventory of province k is marked as Among them, the orders from city j belong to the warehouse in province k for shipment and transportation; In the formula, Dqpf represents the regional score, represents the ratio of the purchase quantity of city j to the inventory quantity of province k, γ represents the weight of the ratio of the purchase quantity of city to the inventory quantity of province in the regional score calculation formula, represents the ratio of the inventory of province k to the inventory of all warehouses, μ represents the weight of the ratio of the inventory of province k to the inventory of all warehouses in the regional score calculation formula, γ and μ are both constants, and γ+μ=1, It means that the regional score of province k is calculated according to the weights of γ and μ, the ratio of the city's purchase quantity to the province's inventory quantity and the ratio of the province's inventory quantity to the inventory quantity of all warehouses.

7. The agricultural product live broadcast supply chain management system based on digital twin technology according to claim 6 is characterized by: The calculation process of the risk index Fxzs is as follows: In the formula, Fxzs represents the risk index, B sc The fixed parameter representing the risk index calculation formula to measure whether the production cycle is delayed is the standard growth cycle. The ratio of the production cycle monitored in the agricultural product supply chain to the standard growth cycle is the production risk index, B jg The risk index calculation formula measures whether the processing cycle is delayed by a fixed parameter, which is the standard processing cycle. The ratio of the monitored processing cycle to the standard processing cycle in the agricultural product supply chain is the processing risk index. The risk index calculation formula measures whether all warehouse inventories are unsalable with fixed parameters, which is the standard inventory. It represents the ratio of all warehouse inventory monitored in the agricultural product supply chain to the standard inventory, which is the storage risk index. ys The risk index calculation formula measures whether the transportation cycle is delayed by a fixed parameter, which is the standard transportation cycle. The ratio of the monitored transportation cycle in the agricultural product supply chain to the standard transportation cycle is the transportation risk index.

8. The agricultural product live broadcast supply chain management system based on digital twin technology according to claim 7 is characterized by: When the production risk index in the risk index Fxzs is greater than 1, it means that the production link in the agricultural product supply chain has been delayed. When the processing risk index in the risk index Fxzs is greater than 1, it means that the processing link in the agricultural product supply chain has been delayed. When the storage risk index in the risk index Fxzs is greater than 1, it means that the storage link in the agricultural product supply chain has been unsalable. When the transportation risk index in the risk index Fxzs is greater than 1, it means that the transportation link in the agricultural product supply chain has been delayed.

9. The agricultural product live broadcast supply chain management system based on digital twin technology according to claim 8 is characterized by: The risk management unit is provided with a standard score CBF for agricultural products, and compares the product scores Ncpf of all live broadcast rooms with the standard score CBF for agricultural products in turn. If the product score Ncpf of a single live broadcast room is lower than the standard score CBF for agricultural products, it indicates that the consumers in the live broadcast room are less satisfied with the quality of agricultural products.

10. The agricultural product live broadcast supply chain management system based on digital twin technology according to claim 9 is characterized by: The risk management unit is provided with a standard regional score BDF, and compares the regional scores Dqpf of all provinces with the standard regional score BDF in turn. If the regional score Dqpf of a single province is lower than the standard regional score BDF, it indicates that the inventory level of agricultural products in the province is poor.

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