Food material supply chain digital management system based on big data

Abstract

The invention provides a food material supply chain digital management system based on big data, and the system comprises a supply management module which carries out the management of food material suppliers, and obtains the food material supply information through an information collection device; the collection center module obtains a target food material demand, performs selection bidding and tendering according to the target food material demand in combination with the food material supply information by adopting a big data analysis model, determines a target supplier, and determines a supply order based on the target supplier; the distribution service module performs quality control detection and visual supervision according to the supply order; and the financial management module performs settlement according to the supply order. According to the food material supply chain digital management system based on the big data, food material supply chain digital management is achieved in combination with the big data, smooth communication and efficient cooperation of information are improved, food material requirements are quickly responded, target suppliers are determined to conduct order transaction within a short time, meanwhile, the accuracy is high, and the user experience is improved. Order transaction can be completed with low cost.

Description

Technical Field

[0001] The present invention relates to the technical field of digital supply chain management, and in particular to a digital food supply chain management system based on big data. Background Art

[0002] Supply chain management refers to the comprehensive set of management methods and strategies employed by enterprises to maximize supply chain operational efficiency. With globalization and the continuous advancement of information technology, digital transformation has become a crucial path for various industries to improve operational efficiency, reduce costs, and strengthen competitiveness. Within supply chain management, particularly within procurement management, the practical application of digital transformation is gradually transforming traditional operating models. Supply chain procurement management serves as a critical bridge between enterprises and external suppliers, and is closely linked to numerous aspects such as product costs, delivery cycles, and quality control. Therefore, its digital transformation holds significant significance for improving supply chain efficiency and overall business operational efficiency.

[0003] At present, when conducting digital management of food supply chains, the response time to food demand is long, and the data analysis accuracy is poor, which can easily lead to high order transaction costs. Therefore, the present invention proposes a digital management system for food supply chains based on big data, which combines big data to realize digital management of food supply chains, improves the smooth exchange of information and efficient collaboration, and quickly responds to food demand, so that the target supplier can be determined in a shorter time for order transactions. At the same time, the accuracy is high, and order transactions can be completed at a lower cost. Summary of the Invention

[0004] The purpose of the present invention is to provide a digital food supply chain management system based on big data to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a digital food supply chain management system based on big data, comprising: a supply management module, a centralized procurement center module, a distribution service module and a financial management module;

[0006] The supply management module is used to manage food suppliers and obtain food supply information through the information collection device;

[0007] The centralized procurement center module is used to obtain target food demand, use big data analysis models to select and bid based on the target food demand and food supply information, determine the target supplier, and determine the supply order based on the target supplier;

[0008] The delivery service module is used to perform quality control inspection and visual supervision according to the supply order;

[0009] The financial management module is used to perform settlement according to the supply order.

[0010] Furthermore, the supply management module includes: a demand publishing unit, a user management unit, an information acquisition unit, a first analysis unit and a second analysis unit;

[0011] The demand publishing unit is used to publish food demand information;

[0012] The user management unit is used to register users for food suppliers based on food demand information and establish information trust relationships with food suppliers with whom users have successfully registered;

[0013] The information acquisition unit is used to acquire information from food suppliers based on the information trust relationship, obtain food supplier information, and store data for the food supplier information;

[0014] The first analysis unit is used to perform intelligent business analysis on food supplier information to obtain business information of food suppliers;

[0015] The second analysis unit is used to perform statistical analysis on the food supplier information to obtain a statistical report of the food supplier.

[0016] Furthermore, the centralized procurement center module includes: a demand acquisition unit, a big data analysis unit, and an order generation unit;

[0017] The demand acquisition unit is used to acquire food demand and determine target food demand;

[0018] The big data analysis unit is used to select and bid according to the target food demand and food supply information using a big data analysis model to determine the target supplier;

[0019] The order generating unit is used to determine the supply order based on the target supplier.

[0020] Furthermore, the big data analysis unit uses a big data analysis model to conduct selection and bidding based on target food demand and food supply information, including:

[0021] Determine the food suppliers participating in the selection and bidding, conduct preliminary screening of the food suppliers participating in the selection and bidding based on the target food demand, and determine the preliminary screening results;

[0022] Obtain bidding information of food suppliers based on the preliminary screening results;

[0023] Use big data analysis models to analyze supply plans and calculate prices based on food supplier bidding information and target food demand, and obtain food supplier bidding analysis data;

[0024] Conduct optimization analysis based on the bidding analysis data of food suppliers and determine the target suppliers.

[0025] Furthermore, a big data analysis model is used to analyze supply plans and calculate prices based on the bidding information of food suppliers and target food demand, including:

[0026] Analyze the bidding information of food suppliers, determine the food suppliers' food supply points, supply capacity of the supply points and food supply prices;

[0027] Analyze the best supply plan based on the supply capacity and target food demand of the supply point and determine the best supply plan for the food supplier;

[0028] The price is calculated according to the best supply plan of the food supplier and the food supply price to obtain the total price of the food supplier's order supply.

[0029] Furthermore, the delivery service module includes: a delivery management unit, a quality control and inspection unit, and a visual supervision unit;

[0030] The delivery management unit is used to perform delivery management for the supply order, including: matching food distributors according to target suppliers to determine the target food distributors; delivering the target food distributors in combination with the supply order to obtain the target food; and performing storage management for the target food.

[0031] The quality control detection unit is used to perform quality control detection on the target food and obtain the quality control detection result of the target food;

[0032] The visual supervision unit is used to collect relevant information on the supply order and present it in a visual window.

[0033] Furthermore, the quality control detection unit performs quality control detection on the target food, including:

[0034] Conduct preliminary testing on the target food, obtain basic information of the target food through the image acquisition device and basic measurement device, and analyze whether the basic information of the target food meets the preliminary testing standards to obtain preliminary test results;

[0035] When the target food is tested normal according to the preliminary test results, test samples are obtained for the target food according to the first quality control test rule and the second quality control test rule, respectively, to obtain a first test sample and a second test sample;

[0036] Performing a chemical test on the first test sample to determine the food type of the first test sample, determining a target test item based on the food type of the first test sample, performing a nutrient component and drug residue test analysis on the first test sample based on the target test item, and determining whether the first test sample meets the chemical test standard for the target food, thereby obtaining a first analysis result;

[0037] performing a microbial test on the second test sample to determine the food type of the second test sample, determining a target test item based on the food type of the second test sample, performing a microbial content test and analysis on the second test sample based on the target test item, and determining whether the microbial content of the second test sample exceeds a standard, thereby obtaining a second analysis result;

[0038] The quality control test results of the target food are obtained by combining the preliminary test results, the first analysis results and the second analysis results.

[0039] Furthermore, the visual supervision unit collects related information for the supply order and presents it in a visual window, including:

[0040] Monitor supply orders and analyze whether complete supply orders appear;

[0041] When a complete supply order appears, a supervisory presentation template of the supply order is created in a visualization window for the supply order;

[0042] Collect related information based on the supply order, retrieve target supplier information based on the supply order, and obtain first supervision presentation information; at the same time, track the progress of the supply order, obtain the execution progress information of the supply order, and obtain second supervision presentation information;

[0043] The first supervision presentation information and the second supervision presentation information are respectively combined with the supervision presentation template of the supply order to perform information processing to obtain third supervision presentation information and fourth supervision presentation information;

[0044] The supervision presentation information presentation is updated in the supervision presentation template of the supply order according to the third supervision presentation information and the fourth supervision presentation information.

[0045] Furthermore, the financial management module performs settlement according to the supply order, including:

[0046] Verify and confirm the supply order and obtain the verification and confirmation result;

[0047] Retrieve the execution progress information of the supply order based on the verification and confirmation results, match the approval nodes based on the execution progress information of the supply order, and determine the target approval node;

[0048] Through the target approval node, settlement review is performed on the supply order based on the execution progress information of the supply order and the settlement rules to obtain the settlement review result;

[0049] When the settlement review result is approved, the settlement amount is determined by combining the supply order execution progress information with the settlement rules to obtain the target settlement amount.

[0050] Determine the target settlement method based on the target settlement amount, and conduct settlement transactions in accordance with the target settlement method.

[0051] Furthermore, when verifying and confirming the supply order, the financial management module also performs risk analysis on the supply order, including:

[0052] Identify target suppliers for supply orders;

[0053] Obtaining food supplier information of the target supplier;

[0054] Conduct risk analysis on target suppliers based on their food supplier information and obtain risk estimation data for target suppliers;

[0055] Provide risk control prompts based on the target supplier's risk assessment data, conduct credit analysis based on the target supplier's risk assessment data, determine the target supplier's credit rating, and conduct credit management for the target supplier.

[0056] The present invention combines big data to realize digital management of food supply chain, which not only provides core technical support and realizes integrated management of food supply, ensuring smooth information exchange and efficient collaboration, but also can quickly respond to food demand, so that target suppliers can be determined in a relatively short time for order transactions, and transparent supervision of suppliers can be achieved to ensure the quality and safety of the supplied food.

[0057] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained through the structures specifically pointed out in the application documents.

[0058] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0060] Figure 1This is a schematic diagram of the digital food supply chain management system of the present invention;

[0061] Figure 2 This is a schematic diagram of the centralized procurement center module in the digital food supply chain management system of the present invention;

[0062] Figure 3 This is a schematic diagram of the steps of the big data analysis unit of the centralized procurement center module in the digital management system for food supply chains of the present invention;

[0063] Figure 4 This is a schematic diagram of the steps of the quality control inspection unit of the distribution service module in the digital management system of the food supply chain of the present invention;

[0064] Figure 5 This is a schematic diagram of the steps of the visual supervision unit of the distribution service module in the digital management system of the food supply chain of the present invention;

[0065] Figure 6 This is a schematic diagram of the steps of the financial management module in the digital food supply chain management system of the present invention. DETAILED DESCRIPTION

[0066] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0067] like Figure 1 As shown, the embodiment of the present invention provides a digital management system for food supply chain based on big data, including: a supply management module, a centralized procurement center module, a distribution service module and a financial management module;

[0068] The supply management module is used to manage food suppliers and obtain food supply information through the information collection device;

[0069] The centralized procurement center module is used to obtain target food demand, use big data analysis models to select and bid based on the target food demand and food supply information, determine the target supplier, and determine the supply order based on the target supplier;

[0070] The delivery service module is used to perform quality control inspection and visual supervision according to the supply order;

[0071] The financial management module is used to perform settlement according to the supply order.

[0072] In the above technical solution, the food supply information includes: food supplier information, supplied food sales information, supplied food delivery information, etc.

[0073] In the above technical solution, the centralized procurement center module, the distribution service module and the financial management module are all connected to the supply management module, and the distribution service module and the financial management module are also respectively connected to the centralized procurement center module.

[0074] In the above technical solution, the information collection device includes: a direct collection unit and an indirect collection unit. When obtaining food supply information through the information collection device, data information can be input through the direct collection unit to obtain food supply information, or external data connection can be made through the indirect collection unit to import food supply information.

[0075] The above technical solution combines big data to realize digital management of food supply chain, which not only provides core technical support, realizes integrated management of food supply, ensures smooth information exchange and efficient collaboration, but also can quickly respond to food demand, so that target suppliers can be determined in a relatively short time to conduct order transactions, and transparent supervision of suppliers can be achieved to ensure the quality and safety of the supplied food. The supply management module is used to manage food suppliers, providing reliable food supply information to the centralized procurement center module. In the centralized procurement center module, the big data analysis module is used in combination with food demand to conduct efficient selection and bidding, so that target suppliers can be determined in a relatively short time, and then supply orders can be obtained. The distribution service module is used to perform quality control inspection and visual supervision according to the supply order, making the supply and distribution of the food transparent and ensuring the safety and reliability of the supplied food. In addition, the financial management module is used to settle the supply order according to the supply order, so that the supply of food can be settled in a timely manner.

[0076] In one embodiment provided by the present invention, the supply management module includes: a demand publishing unit, a user management unit, an information acquisition unit, a first analysis unit and a second analysis unit;

[0077] The demand publishing unit is used to publish food demand information;

[0078] The user management unit is used to register users for food suppliers based on food demand information and establish information trust relationships with food suppliers with whom users have successfully registered;

[0079] The information acquisition unit is used to acquire information from food suppliers based on the information trust relationship, obtain food supplier information, and store data for the food supplier information;

[0080] The first analysis unit is used to perform intelligent business analysis on food supplier information to obtain business information of food suppliers;

[0081] The second analysis unit is used to perform statistical analysis on the food supplier information to obtain a statistical report of the food supplier.

[0082] In the above technical solution, the demand publishing unit publishes the food demand information, so that the food supplier can register as a user in the user management unit according to the food demand.

[0083] In the above technical solution, the food demand information refers to the information of all food that can be used for food supply and demand in the food supply chain digital management system.

[0084] In the above technical solution, when the information acquisition unit acquires information from the food supplier based on the information trust relationship, it determines the food supplier information that needs to be acquired, performs preliminary verification on the information trust relationship, acquires the information management characteristics of the food supplier, and determines the relationship verification result. When determining the relationship verification result, if the information management characteristics of the food supplier can be successfully acquired, the relationship verification result passes; if the information management characteristics of the food supplier cannot be successfully acquired, the relationship verification result fails. The information management characteristics of the food supplier refer to the food supplier's management of the food supplier information, such as the supply of food sales information being controlled by the financial department, the food supervision information being controlled by the supervision department, and so on. When the relationship verification result passes, the food supplier information that needs to be acquired is combined with the information management characteristics of the food supplier to generate an information acquisition instruction, and the information acquisition instruction is transmitted to the corresponding department for information access based on the information trust relationship to acquire the target food supplier information, thereby obtaining the food supplier information.

[0085] In the above technical solution, when the information acquisition unit stores data for food supplier information, it stores the information according to the food supplier, and at the same time establishes a supervision mechanism for the food supplier based on the information trust relationship. When the food supplier information of the food supplier changes or adjusts, the stored information of the food supplier is updated through the supervision mechanism.

[0086] In the above technical solution, when the user management unit registers a food supplier based on the food demand information, it analyzes whether the food supplier meets the requirements based on the food demand. If so, the food supplier can successfully register as a user and an information trust relationship with the corresponding food supplier can be established, allowing the information acquisition unit to obtain information from the food supplier. If not, the food supplier cannot successfully register as a user.

[0087] In the above technical solution, the food supplier information includes: basic information of the food supplier, food distributor, supplied food information, supplied food sales information, food supervision information, etc. Among them, the basic information of the food supplier includes: food supplier address, business model, etc.

[0088] In the above technical solution, when the second analysis unit performs statistical analysis on the food supplier information, it performs information statistics and report generation according to the food distributor, supplied food information, and supplied food sales information to obtain a statistical report of the food supplier.

[0089] The above technical solution realizes intelligent management of food suppliers through the supply management module. Not only can the food demand information be released through the demand release unit so that food suppliers can clarify the food demand and realize preliminary analysis and judgment of their own operations, but also the user management unit can be used to register users for food suppliers in combination with the food demand information to realize preliminary screening of food suppliers, so that the food suppliers with successful user registration meet the food demand, reduce the interference of irrelevant food suppliers, provide effective data support for the centralized procurement center module, ensure the data analysis efficiency of the centralized procurement center module, and obtain information from the food suppliers based on the information trust relationship through the information acquisition unit to obtain food supplier information, provide security and reliability of information acquisition, and ensure the security of food supplier information. In addition, the data analysis of the food supplier information by the first analysis unit and the second analysis unit makes the food supplier information more concise and clear, providing guarantee for subsequent data.

[0090] In one embodiment provided by the present invention, Figure 2 As shown, the centralized procurement center module includes: a demand acquisition unit, a big data analysis unit and an order generation unit;

[0091] The demand acquisition unit is used to acquire food demand and determine target food demand;

[0092] The big data analysis unit is used to select and bid according to the target food demand and food supply information using a big data analysis model to determine the target supplier;

[0093] The order generating unit is used to determine the supply order based on the target supplier.

[0094] In the above technical solution, the target ingredient demand includes: target ingredient and the demand quantity of the target ingredient.

[0095] In the above technical solution, the target food material can be single or multiple.

[0096] In the above technical solution, when the order generation unit determines the supply order based on the target supplier, it determines the big data analysis information, and retrieves the food supplier information based on the target supplier, and then extracts and fills the target information according to the supply order based on the big data analysis information and the food supplier information to obtain a complete supply order.

[0097] The above technical solution can perform food analysis on demand through the demand acquisition unit, so that only the target food demand is analyzed, which improves the flexibility of the centralized procurement center module in centralized procurement analysis. In addition, the big data analysis unit adopts a big data analysis model to conduct selection and bidding, which can not only efficiently perform effective data analysis on a large amount of data information, but also has high accuracy, improves the accuracy of big data analysis information, and thus protects the rights and interests of the target food demander. In addition, the order generation unit can directly determine the supply order based on the target supplier, strengthen the collaboration between modules, make it possible to directly realize the transaction of the supply order, improve the response efficiency of the target food demand, and provide convenience for the completion of the supply order.

[0098] In one embodiment provided by the present invention, Figure 3 As shown, the big data analysis unit uses a big data analysis model to select and bid based on target food demand and food supply information, including:

[0099] A1. Determine the food suppliers participating in the selection and bidding process, conduct a preliminary screening of the participating food suppliers based on the target food demand, and determine the preliminary screening results;

[0100] A2. Obtain bidding information from food suppliers based on the preliminary screening results;

[0101] A3. Use a big data analysis model to analyze supply plans and calculate prices based on bidding information and target ingredient demand, obtaining bidding analysis data from ingredient suppliers.

[0102] A4. Conduct optimization analysis based on the bidding data of food suppliers and determine the target suppliers.

[0103] In the above technical solution, when conducting a preliminary screening of the food suppliers participating in the selection and bidding based on the demand for target ingredients, it is analyzed and determined whether the food suppliers participating in the selection and bidding have the target ingredients, and the food suppliers participating in the selection and bidding that have the target ingredients are analyzed based on the demand for the target ingredients to determine whether the food suppliers can meet the demand for the target ingredients, thereby screening out the food suppliers that can meet the demand for the target ingredients and obtaining a preliminary screening result.

[0104] In the above technical solution, the number of food suppliers participating in the selection and bidding in the preliminary screening results is multiple.

[0105] In the above technical solution, when obtaining the bidding information of the food suppliers based on the preliminary screening results, the bidding information of the food suppliers in the preliminary screening results is obtained.

[0106] The above technical solution can effectively reduce the workload of big data analysis by conducting preliminary screening of food suppliers participating in the selection and bidding in combination with the target food demand, so that the big data analysis model does not need to process information for food suppliers that obviously do not meet the target food demand, thereby improving the data analysis efficiency of the big data analysis model, completing the selection and bidding in a shorter time, and maximizing the interests of the target food demanders through optimization analysis.

[0107] In one embodiment provided by the present invention, a big data analysis model is used to analyze supply plans and calculate prices based on bidding information of food suppliers and target food demand, including:

[0108] Analyze the bidding information of food suppliers, determine the food suppliers' food supply points, supply capacity of the supply points and food supply prices;

[0109] Analyze the best supply plan based on the supply capacity and target food demand of the supply point and determine the best supply plan for the food supplier;

[0110] The price is calculated according to the best supply plan of the food supplier and the food supply price to obtain the total price of the food supplier's order supply.

[0111] In the above technical solution, the bidding analysis data of the food supplier includes: the best supply plan of the food supplier and the total supply price of the order of the food supplier.

[0112] The above technical solution adopts a big data analysis model to analyze supply plans and calculate prices based on the bidding information of food suppliers and the target food demand. It can not only efficiently realize the effective analysis of the bidding information of a large number of food suppliers and improve the efficiency and accuracy of obtaining bidding analysis data of food suppliers, but also realize the determination of the best supply plan of food suppliers, so that the target food demand can be better met, reduce the cost consumption of the target food demander, and make the total order supply price of the food supplier clearer, providing data reference for optimization analysis.

[0113] In one embodiment provided by the present invention, the delivery service module includes: a delivery management unit, a quality control inspection unit and a visual supervision unit;

[0114] The delivery management unit is used to perform delivery management for the supply order, including: matching food distributors according to target suppliers to determine the target food distributors; delivering the target food distributors in combination with the supply order to obtain the target food; and performing storage management for the target food.

[0115] The quality control detection unit is used to perform quality control detection on the target food and obtain the quality control detection result of the target food;

[0116] The visual supervision unit is used to collect relevant information on the supply order and present it in a visual window.

[0117] In the above technical solution, when the distribution management unit matches food distributors according to the target supplier, it searches and matches food distributors according to the target supplier in the food supplier's statistical report to determine the target food distributor.

[0118] In the above technical solution, when performing storage management for target ingredients, the storage management is performed in combination with the characteristics of the target ingredients.

[0119] In the above technical solution, when the quality control inspection unit performs quality control inspection on the target food, it performs quality control inspection on the target food in accordance with the quality control inspection rules.

[0120] In the above technical solution, the associated information includes: target supplier information, delivery service information of the supply order, settlement information of the supply order, etc.

[0121] The above technical solution realizes the distribution management of supply orders through the distribution management unit. It can not only distribute the target ingredients according to the ingredient distributor corresponding to the target supplier, but also perform warehousing management for the target ingredients to ensure the freshness of the target ingredients and avoid food waste due to improper storage after obtaining the target ingredients. In addition, the quality control inspection unit is used to implement quality control inspection of the target ingredients, timely discover the poor quality of the target ingredients, reduce the loss of the target ingredient demanders, and ensure the quality of the target ingredients. The visual supervision unit is used to realize the visual presentation of the supply order, so that relevant personnel can understand the details of the supply order more clearly.

[0122] In one embodiment provided by the present invention, Figure 4 As shown, the quality control detection unit performs quality control detection on the target food, including:

[0123] S1. Perform preliminary testing on the target food, obtain basic information of the target food through an image acquisition device and a basic measurement device, and analyze whether the basic information of the target food meets the preliminary testing standards to obtain preliminary test results;

[0124] S2. When the basic information of the target food meets the preliminary testing criteria according to the preliminary test results, obtain test samples for the target food according to the first quality control test rule and the second quality control test rule, respectively, to obtain a first test sample and a second test sample;

[0125] S3. Performing a chemical test on the first test sample to determine the food type of the first test sample, determining a target test item based on the food type of the first test sample, performing nutrient component and drug residue testing and analysis on the first test sample based on the target test items, and determining whether the first test sample meets the chemical testing standards for the target food, thereby obtaining a first analysis result;

[0126] S4. Performing microbial testing on the second test sample to determine the food type of the second test sample, determining a target test item based on the food type of the second test sample, performing microbial content testing and analysis on the second test sample based on the target test item, and determining whether the microbial content of the second test sample exceeds the standard, thereby obtaining a second analysis result;

[0127] S5. Comprehensively combine the preliminary test results, the first analysis results, and the second analysis results to obtain the target food quality control test results.

[0128] In the above technical solution, the basic information of the target ingredient includes: appearance, weight, odor, temperature, hardness, etc. Appearance information includes: color, size, shape, etc. Basic measurement devices include: electronic scales, electronic noses, thermometers, hardness testers, etc. To obtain basic information, the image acquisition device captures an image of the target ingredient, then performs recognition and analysis on the captured image to obtain the appearance information of the target ingredient. The basic measurement device then uses the electronic scale, electronic nose, thermometer, and hardness tester to obtain weight, odor, temperature, and hardness information, respectively.

[0129] In the above technical solution, the nutrient component and drug residue detection and analysis include: nutrient component analysis and drug residue analysis, among which, the Kjeldahl method is used to determine the protein content, the Soxhlet extraction method is used to determine the fat content, and the high performance liquid chromatography (HPLC) is used to determine the vitamin content, etc. When analyzing the original drug residues, the drug residue analysis is performed according to the type of target food. For example, for aquatic products, vegetables, grains and other food materials, atomic absorption spectrometry (AAS), inductively coupled plasma mass spectrometry (ICP-MS) and other technologies are used for heavy metal detection and analysis; for meat, eggs, milk and other food materials, high performance liquid chromatography (HPLC), liquid chromatography-mass spectrometry (LC-MS) and other technologies are used for veterinary drug residue analysis; for fresh vegetables, fruits and other food materials, gas chromatography (GC), liquid chromatography (HPLC), gas chromatography-mass spectrometry (GC-MS) and other technologies are used for pesticide residue analysis.

[0130] In the above technical solution, when the target detection item is determined according to the food type of the second test sample, the detection method is determined according to the food type, for example: for aquatic products, fruits, vegetables and other food ingredients, polymerase chain reaction (PCR) technology, real-time fluorescence quantitative PCR technology, etc. are used for virus detection; for grains, dried fruits, fermented foods and other food ingredients, plate culture method, microscopy method and other technologies are used for mold and yeast detection and analysis; for meat, eggs, milk, vegetables and other food ingredients, plate counting method, microscopy method, enzyme-linked immunosorbent assay (ELISA) and other technologies are used for bacterial detection and analysis.

[0131] In the above technical solution, when determining the preliminary test results, the first analysis results and the second analysis results, if there is data information that does not meet the standards in the test of this item, the result is an abnormal food detection.

[0132] In the above technical solution, the first test sample and the second test sample are not completely the same.

[0133] In the above technical solution, chemical testing on the first test sample and microbiological testing on the second test sample can be performed simultaneously.

[0134] In the above technical solution, when the target food quality control test result is obtained by comprehensively combining the preliminary test result, the first analysis result and the second analysis result, if the preliminary test result is that the target food test is abnormal, the target food quality control test result is directly determined to be unqualified. When the preliminary test result is that the target food test is normal, the target food quality control test result is directly determined to be unqualified based on the first analysis result and the second analysis result. If the first analysis result is that the chemical test standard of the target food is met and the second analysis result is that the microbial content of the target food does not exceed the standard, then the target food quality control test result is that the target food is qualified; otherwise, the target food quality control test result is that the target food is unqualified.

[0135] The above technical solution realizes comprehensive testing of the target food through the quality control detection unit, thereby ensuring the quality of the target food and ensuring the safety of the target food. Moreover, by conducting preliminary testing on the target food to perform relatively easy basic information testing, it is timely discovered that the basic information of the target food does not meet the preliminary testing standards. Moreover, the target food is tested according to the first quality control testing rule and the second quality control testing rule respectively, so that there are differences between the first test sample and the second test sample, thereby enabling more test samples to be tested during chemical testing and microbial testing, reducing the error of the quality control test results of the target food, making the quality control test results of the target food more accurate, and chemical testing and microbial testing can be carried out simultaneously, thereby improving the efficiency of obtaining the first analysis result and the second analysis result, so that the quality control test results of the target food can be determined in a shorter time.

[0136] In one embodiment provided by the present invention, Figure 5 As shown, the visual supervision unit collects related information for the supply order and presents it in the visual window, including:

[0137] B1. Monitor supply orders and analyze whether there are complete supply orders;

[0138] B2. When a complete supply order appears, a supervision presentation template for the supply order is created in a visualization window for the supply order;

[0139] B3. Collect related information based on the supply order, retrieve target supplier information based on the supply order, and obtain first supervisory presentation information. Simultaneously, track the progress of the supply order, obtain information on the execution of the supply order, and obtain second supervisory presentation information.

[0140] B4. Processing the first supervision presentation information and the second supervision presentation information in combination with the supervision presentation template of the supply order to obtain third supervision presentation information and fourth supervision presentation information;

[0141] B5. Update the supervision presentation information in the supervision presentation template of the supply order according to the third supervision presentation information and the fourth supervision presentation information.

[0142] In the above technical solution, the food supplier information includes: basic information of the food supplier, food distributor, supplied food information, supplied food sales information, food supervision information, etc. Among them, the basic information of the food supplier includes: food supplier address, business model, etc.

[0143] In the above technical solution, when a complete supply order does not appear, no response is required.

[0144] In the above technical solution, the third supervision presentation information is obtained by processing the first supervision presentation information in combination with the supervision presentation template of the supply order. The fourth supervision presentation information is obtained by processing the second supervision presentation information in combination with the supervision presentation template of the supply order.

[0145] In the above technical solution, information processing includes: target information identification and extraction, information format conversion, etc.

[0146] The above technical solution monitors supply orders so that related information is collected only when a complete supply order appears, thereby improving the effectiveness of supervision presentation in the visualization window and avoiding losses caused by invalid analysis based on incomplete supply orders. It also creates a supervision presentation template for supply orders in the visualization window for supply orders; it enables supervision presentation in the visualization window to present feedback in a unified mode, making it convenient for relevant personnel to view information through the visualization window, and by retrieving target supplier information according to the supply order, it is possible to understand not only the basic information of the food supplier in the visualization window, but also detailed information such as the food distributor, supply food information, supply food sales information, and food supervision information in the visualization window, making the detailed information transparent. At the same time, by tracking the progress of the supply order, the progress of the supply order can be clearly understood in the visualization window, so that relevant personnel can fully understand the various situations of the target food.

[0147] In one embodiment provided by the present invention, Figure 6 As shown, the financial management module performs settlement according to the supply order, including:

[0148] C1. Verify and confirm the supply order and obtain the verification and confirmation result;

[0149] C2. Retrieve the execution progress information of the supply order based on the verification and confirmation results, match the approval nodes based on the execution progress information of the supply order, and determine the target approval node;

[0150] C3. Perform settlement review on the supply order based on the target approval node, execution progress information of the supply order, and settlement rules to obtain the settlement review result.

[0151] C4. When the settlement review result is approved, the settlement amount is determined by combining the supply order execution progress information with the settlement rules to obtain the target settlement amount.

[0152] C5. Determine the target settlement method based on the target settlement amount and conduct settlement transactions in accordance with the target settlement method.

[0153] In the above technical solution, when performing settlement review on the supply order based on the execution progress information of the supply order in combination with the settlement rules, it is analyzed whether the execution progress of the supply order meets the settlement point in the settlement rules. If so, the settlement review result is passed; otherwise, the review fails.

[0154] In the above technical solution, the settlement methods include: account settlement and credit settlement.

[0155] In the above technical solution, the settlement rules include: one-time settlement, phased settlement, installment settlement, etc. The approval node is determined in advance according to the settlement rules. For example, when the settlement rule is one-time settlement, there is only one approval node; when the settlement rule is phased settlement, each stage corresponds to an approval node.

[0156] In the above technical solution, when the approval nodes are matched according to the settlement rules based on the verification and confirmation results, if the verification and confirmation result is that the supply order verification and confirmation is passed, the execution progress information of the supply order is retrieved; if the verification and confirmation result is that the supply order verification and confirmation is not passed, a supply order abnormality prompt is issued.

[0157] In the above technical solution, when the settlement audit result is that the audit has failed, the execution progress information of the supply order will continue to be retrieved, and the settlement audit will be performed on the supply order based on the latest execution progress information of the supply order combined with the settlement rules, until the latest execution progress of the supply order is the settlement point in the settlement rules, and the settlement audit result is determined to be that the audit has passed.

[0158] The above technical solution ensures the authenticity and reliability of supply orders by verifying and confirming supply orders, avoiding property losses caused by settlement of abnormal supply orders, and adopts approval nodes to conduct settlement review based on the execution progress information of supply orders, so that the approval nodes are specific and the security of settlement is improved. The target settlement amount is determined when the settlement review result is approved, so that it can be settled in time when the settlement rules require it in combination with the execution progress information of the supply order, avoiding the impact of untimely settlement on its own reputation. In addition, multiple settlement methods are used for settlement transactions to improve the flexibility of settlement transactions.

[0159] In one embodiment of the present invention, when verifying and confirming a supply order, the financial management module also performs a risk analysis on the supply order, including:

[0160] Identify target suppliers for supply orders;

[0161] Obtaining food supplier information of the target supplier;

[0162] Conduct risk analysis on target suppliers based on their food supplier information and obtain risk estimation data for target suppliers;

[0163] Provide risk control prompts based on the target supplier's risk assessment data, conduct credit analysis based on the target supplier's risk assessment data, determine the target supplier's credit rating, and conduct credit management for the target supplier.

[0164] In the above technical solution, a risk analysis is performed on the target supplier according to the food supplier information of the target supplier, including: identifying the target information in the food supplier information of the target supplier, and extracting the target information based on the identification result to obtain the business information of the food supplier; performing a first risk analysis based on the business information of the food supplier to determine the corporate risk of the target supplier and obtain first risk analysis data; performing a second risk prediction analysis based on the business information of the food supplier in combination with the supply order to determine the risk of the target supplier completing the supply order and obtain second risk analysis data; performing a risk control impact analysis on the corporate risk of the target supplier and the risk of the target supplier completing the supply order to determine the relative impact coefficients of the corporate risk of the target supplier and the risk of the target supplier completing the supply order and obtain a first impact coefficient and a second impact coefficient; and performing a comprehensive analysis on the first risk analysis data and the second risk analysis data in combination with the first impact coefficient and the second impact coefficient respectively to obtain target supplier risk estimation data.

[0165] In the above technical solution, when making risk control prompts based on the target supplier's risk estimation data, the risk control prompt standards are combined for analysis and judgment. If the target supplier's risk estimation data meets the risk control prompt standards, a risk control prompt is made. If the target supplier's risk estimation data does not meet the risk control prompt standards, a credit analysis is performed directly based on the target supplier's risk estimation data.

[0166] In the above technical solution, credit ratings are divided into three levels: high, medium, and low, and different levels correspond to different target supplier risk estimation data ranges.

[0167] In the above technical solution, when credit management is performed on a target supplier, the credit rating of the target supplier is combined with the bank risk analysis time and stored in a matching manner with the target supplier.

[0168] The above technical solution clarifies the risk situation of the target supplier by conducting risk analysis on the supply order, so that the abnormality of the target supplier can be discovered based on the target supplier's risk assessment data, reducing the losses caused by the supply order and providing guarantees for food procurement. At the same time, credit management of the target supplier is also carried out to provide a reference for subsequent cooperation, optimize subsequent cooperation, reduce disputes and reduce conflicts.

[0169] Those skilled in the art should understand that the first, second, third and fourth in the present invention merely refer to different application stages.

[0170] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow from the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the following claims.

[0171] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A digital food supply chain management system based on big data, characterized by: include: Supply management module, centralized procurement center module, distribution service module and financial management module; The supply management module is used to manage food suppliers and obtain food supply information through the information collection device; The centralized procurement center module is used to obtain target food demand, use big data analysis models to select and bid based on the target food demand and food supply information, determine the target supplier, and determine the supply order based on the target supplier; The delivery service module is used to perform quality control inspection and visual supervision according to the supply order; The financial management module is used to perform settlement according to the supply order.

2. The food supply chain digital management system according to claim 1, characterized in that: The supply management module includes: a demand publishing unit, a user management unit, an information acquisition unit, a first analysis unit and a second analysis unit; The demand publishing unit is used to publish food demand information; The user management unit is used to register users for food suppliers based on food demand information and establish information trust relationships with food suppliers with whom users have successfully registered; The information acquisition unit is used to acquire information from food suppliers based on the information trust relationship, obtain food supplier information, and store data for the food supplier information; The first analysis unit is used to perform intelligent business analysis on food supplier information to obtain business information of food suppliers; The second analysis unit is used to perform statistical analysis on the food supplier information to obtain a statistical report of the food supplier.

3. The food supply chain digital management system according to claim 2, characterized in that: The centralized procurement center module includes: a demand acquisition unit, a big data analysis unit, and an order generation unit; The demand acquisition unit is used to acquire food demand and determine target food demand; The big data analysis unit is used to use the big data analysis model to select and bid according to the target food demand and food supply information to determine the target supplier; The order generating unit is used to determine the supply order based on the target supplier.

4. The food supply chain digital management system according to claim 3, characterized in that: The big data analysis unit uses a big data analysis model to conduct selection and bidding based on target food demand and food supply information, including: Determine the food suppliers participating in the selection and bidding, conduct preliminary screening of the food suppliers participating in the selection and bidding based on the target food demand, and determine the preliminary screening results; Obtain bidding information of food suppliers based on the preliminary screening results; Use big data analysis models to analyze supply plans and calculate prices based on food supplier bidding information and target food demand, and obtain food supplier bidding analysis data; Conduct optimization analysis based on the bidding analysis data of food suppliers and determine the target suppliers.

5. The food supply chain digital management system according to claim 4, characterized in that: Use big data analysis models to analyze supply plans and calculate prices based on ingredient suppliers' bidding information and target ingredient demand, including: Analyze the bidding information of food suppliers, determine the food suppliers' food supply points, supply capacity of the supply points and food supply prices; Analyze the best supply plan based on the supply capacity and target food demand of the supply point and determine the best supply plan for the food supplier; The price is calculated according to the best supply plan of the food supplier and the food supply price to obtain the total price of the food supplier's order supply.

6. The food supply chain digital management system according to claim 1, characterized in that: The delivery service module includes: a delivery management unit, a quality control and inspection unit, and a visual supervision unit; The delivery management unit is used to perform delivery management for the supply order, including: matching food distributors according to target suppliers to determine the target food distributors; delivering the target food distributors in combination with the supply order to obtain the target food; and performing storage management for the target food. The quality control detection unit is used to perform quality control detection on the target food and obtain the quality control detection result of the target food; The visual supervision unit is used to collect relevant information on the supply order and present it in a visual window.

7. The food supply chain digital management system according to claim 6, characterized in that: The quality control detection unit performs quality control detection on the target food, including: Conduct preliminary testing on the target food, obtain basic information of the target food through the image acquisition device and basic measurement device, and analyze whether the basic information of the target food meets the preliminary testing standards to obtain preliminary test results; When the target food is tested normal according to the preliminary test results, test samples are obtained for the target food according to the first quality control test rule and the second quality control test rule, respectively, to obtain a first test sample and a second test sample; Performing a chemical test on the first test sample to determine the food type of the first test sample, determining a target test item based on the food type of the first test sample, performing a nutrient component and drug residue test analysis on the first test sample based on the target test item, and determining whether the first test sample meets the chemical test standard for the target food, thereby obtaining a first analysis result; performing a microbial test on the second test sample to determine the food type of the second test sample, determining a target test item based on the food type of the second test sample, performing a microbial content test and analysis on the second test sample based on the target test item, and determining whether the microbial content of the second test sample exceeds a standard, thereby obtaining a second analysis result; The quality control test results of the target food are obtained by combining the preliminary test results, the first analysis results and the second analysis results.

8. The food supply chain digital management system according to claim 6, characterized in that: The visual supervision unit collects relevant information about the supply order and presents it in a visual window, including: Monitor supply orders and analyze whether complete supply orders appear; When a complete supply order appears, a supervisory presentation template of the supply order is created in a visualization window for the supply order; Collect related information based on the supply order, retrieve target supplier information based on the supply order, and obtain first supervision presentation information; at the same time, track the progress of the supply order, obtain the execution progress information of the supply order, and obtain second supervision presentation information; The first supervision presentation information and the second supervision presentation information are respectively combined with the supervision presentation template of the supply order to perform information processing to obtain third supervision presentation information and fourth supervision presentation information; The supervision presentation information presentation is updated in the supervision presentation template of the supply order according to the third supervision presentation information and the fourth supervision presentation information.

9. The food supply chain digital management system according to claim 8, characterized in that: The financial management module performs settlement according to the supply order, including: Verify and confirm the supply order and obtain the verification and confirmation result; Retrieve the execution progress information of the supply order based on the verification and confirmation results, match the approval nodes based on the execution progress information of the supply order, and determine the target approval node; Through the target approval node, settlement review is performed on the supply order based on the execution progress information of the supply order and the settlement rules to obtain the settlement review result; When the settlement review result is approved, the settlement amount is determined by combining the supply order execution progress information with the settlement rules to obtain the target settlement amount. Determine the target settlement method based on the target settlement amount, and conduct settlement transactions in accordance with the target settlement method.

10. The food supply chain digital management system according to claim 9, characterized in that: When verifying and confirming a supply order, the financial management module also performs a risk analysis on the supply order, including: Identify target suppliers for supply orders; Obtaining food supplier information of the target supplier; Conduct risk analysis on target suppliers based on their food supplier information and obtain risk estimation data for target suppliers; Provide risk control prompts based on the target supplier's risk assessment data, conduct credit analysis based on the target supplier's risk assessment data, determine the target supplier's credit rating, and conduct credit management for the target supplier.

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