High-efficiency intelligent supply chain system and method based on RFID

Abstract

The invention relates to the technical field of supply chain management, in particular to a high-efficiency intelligent supply chain system and method based on RFID. The system comprises a goods label distribution unit used for obtaining the importance degree of goods according to the sales price, the supply amount and the vulnerability degree of the goods, and performing RFID label distribution according to the importance degree; the cargo information matching unit is used for obtaining a cargo information matching degree according to the information matching values calculated in different transportation states; combining the cargo information matching degree with a cargo information matching threshold to obtain a cargo information matching result; the cargo transportation monitoring unit is used for managing the RFID tag abnormal state and the cargo state in the transportation process according to the RFID tag abnormal value and the transportation state monitoring value; and the cargo transportation path optimization unit is used for obtaining an optimal transportation path by using a multi-target cargo transportation path optimization model in combination with the importance degree and the historical cargo information matching degree and the historical transportation state monitoring value of the transportation path between the supply chain nodes.

Description

Technical Field

[0001] The present invention relates to the technical field of supply chain management, and in particular to a high-efficiency intelligent supply chain system and method based on RFID. Background Art

[0002] Compared with traditional supply chain systems, RFID-based supply chain systems have significantly improved the efficiency and reliability of supply chain management by virtue of advantages such as automatic identification and tracking, high transparency, less manual intervention, optimized inventory management, and high logistics efficiency. These advantages make RFID technology an important tool in modern supply chain management.

[0003] At present, the existing technology still has shortcomings in the security management of cargo information and RFID abnormal management during transportation for the RFID-based supply chain system; on the one hand, the existing technology does not manage the cargo information safely according to different logistics status; on the other hand, the existing technology only considers the sudden abnormal problems in the cargo transportation process, but does not consider the abnormal problems of RFID tags during transportation, so that the transportation status of the cargo cannot be obtained in real time, thereby reducing the efficiency and reliability of the supply chain system.

[0004] Therefore, a high-efficiency intelligent supply chain system and method based on RFID is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a high-efficiency intelligent supply chain system and method based on RFID. Specifically, it includes: a cargo label allocation unit is used to obtain the importance of the cargo according to the sales price, supply volume and fragility of the cargo, and allocate RFID labels according to the importance; a cargo information matching unit is used to obtain the cargo information matching degree according to the information matching value calculated under different transportation states; the cargo information matching degree is combined with the cargo information matching threshold to obtain the cargo information matching result; the cargo transportation monitoring unit is used to manage the abnormal state of the RFID tag and the cargo state during transportation according to the abnormal value of the RFID tag and the transportation state monitoring value; the cargo transportation path optimization unit is used to combine the importance and the historical cargo information matching degree and historical transportation state monitoring value of the transportation route between supply chain nodes, and use the multi-objective cargo transportation path optimization model to obtain the optimal transportation path.

[0006] To achieve the above object, the present invention provides the following technical solutions: An efficient intelligent supply chain system based on RFID, including: A cargo label allocation unit is used to allocate corresponding RFID labels to cargoes; obtain the importance of cargoes according to the sales price, supply quantity and fragility of cargoes, and allocate RFID labels according to the importance; The cargo information matching unit is used to match and proofread the cargo information; specifically, the first information matching value of the current supply chain node, the second information matching value at fixed intervals during transportation, and the third information matching value between the current supply chain node and the next node are combined to obtain the cargo information matching degree; the cargo information matching degree is combined with the cargo information matching threshold to obtain the cargo information matching result; The cargo transportation monitoring unit is used to manage the abnormal state of the RFID tag and the cargo state during transportation; obtain the abnormal value of the RFID tag according to the reading state of the RFID reader, the reading delay time and the comparison of the reading information; obtain the transportation state monitoring value according to the comparison result between the abnormal value of the RFID tag and the abnormal threshold of the tag; obtain the cargo state information according to the transportation state monitoring value; The cargo transportation path optimization unit is used to optimize the cargo transportation path; combining the importance and the historical cargo information matching degree and historical transportation status monitoring value of the transportation routes between supply chain nodes, the multi-objective cargo transportation path optimization model is used to optimize the current transportation path to obtain the optimal transportation path.

[0007] Furthermore, the specific process of the cargo label allocation unit allocating RFID labels according to the importance of the cargo includes: The vulnerability of the goods is obtained according to the proportion of the damaged goods in the transported goods; Evaluate the sales price, supply volume and vulnerability of the goods to obtain the importance of the goods; In combination with the importance of the goods, corresponding RFID tags are allocated to the goods on the basis of frequency selection, capacity selection and security selection.

[0008] Furthermore, the process of the cargo information matching unit obtaining the cargo information matching result includes: Obtaining a first information matching value according to the product information at the input end and the output end of the current supply chain node; Obtaining a second information matching value according to the product information at fixed intervals during transportation and the product information before transportation; Obtaining a third information matching value according to the product information at the output end of the current supply chain node and the input end of the next node; Combine the first information matching value, the second information matching value and the third information matching value to obtain the cargo information matching degree. The calculation formula of the cargo information matching degree is: ; in, is the matching degree of the cargo information; is the first information matching weight value; is the first information matching value; Matching weight value for the second information; is the second information matching value; A weight value for matching the third information; is the third information matching value; The cargo information matching degree is compared with a cargo information matching threshold to obtain a cargo information matching result.

[0009] Furthermore, the process of obtaining the transport status monitoring value by the cargo transport monitoring unit includes: Acquire the reading status, the reading delay time and the reading information of the RFID reader during cargo transportation; According to the read state, the read position information in the read information, and the read cargo information, respectively obtain a read state weight, a position information matching value, and the second information matching value; The reading state weight, the position information matching value and the second information matching value are evaluated to obtain the RFID tag abnormal value; the calculation formula of the RFID tag abnormal value is: ; in, is the abnormal value of the RFID tag; is the read state weight; is an exponential function; To read the delay time weight value; is the read latency threshold; is the read delay time; Matching weight value for location information; is the location information matching value; Matching weight value for cargo information; is the second information matching value; The RFID tag abnormal value is compared with the tag abnormal threshold. If it does not exceed the tag abnormal threshold, the positioning cargo data during transportation is feature matched with the cargo data before transportation to obtain the transportation status monitoring value; otherwise, the transportation status monitoring value is obtained according to the RFID tag abnormal value and abnormal information is fed back.

[0010] Furthermore, the process of the cargo transportation path optimization unit obtaining the optimal transportation path by using the multi-objective cargo transportation path optimization model includes: Obtaining the importance of the cargo and the historical cargo information matching degree and historical transportation status monitoring value of the transportation route; Constructing the multi-objective cargo transportation path optimization model, taking minimizing transportation cost and minimizing transportation time as optimization objectives, and combining the importance, the historical cargo information matching degree and the historical transportation status monitoring value to obtain the comprehensive objective function of the multi-objective cargo transportation path optimization model; The comprehensive objective function is expressed as: ; in, is the comprehensive objective function; To minimize operations; is the comprehensive objective function expression; is the importance of the cargo g; is the matching degree of the historical cargo information of cargo g from node i to node j; is the historical transportation status monitoring value of cargo g from node i to node j; is the transportation cost from node i to node j; is the transportation time from node i to node j; According to the comprehensive objective function, the optimal transportation path is solved.

[0011] An efficient intelligent supply chain method based on RFID, including: Obtaining the sales price, supply and fragility of the goods, and combining them with a calculation formula of the importance, to obtain the importance of the goods; assigning different RFID tags to the goods according to the importance; Obtaining a cargo information matching degree according to a first information matching value of a current supply chain node, a second information matching value calculated at fixed intervals during transportation, and a third information matching value between the current supply chain node and the next node; and obtaining a cargo information matching result by combining the cargo information matching degree with a cargo information matching threshold; According to the reading state, reading delay time and reading information comparison of the RFID reader, an RFID tag abnormal value is obtained; according to the comparison result between the RFID tag abnormal value and the tag abnormal threshold, a transportation status monitoring value is obtained; according to the transportation status monitoring value, cargo status information is obtained; Combining the importance and the historical cargo information matching degree and historical transportation status monitoring value of the transportation routes between supply chain nodes, a multi-objective cargo transportation path optimization model is used to optimize the current transportation path to obtain the optimal transportation path.

[0012] Furthermore, the specific process of obtaining the cargo information matching result by combining the cargo information matching degree and the cargo information matching threshold includes: Obtaining a first information matching value according to the product information at the input end and the output end of the current supply chain node; Obtaining a second information matching value according to the product information at fixed intervals during transportation and the product information before transportation; Obtaining a third information matching value according to the product information at the output end of the current supply chain node and the input end of the next node; Combine the first information matching value, the second information matching value and the third information matching value to obtain the cargo information matching degree. The calculation formula of the cargo information matching degree is: ; in, is the matching degree of the cargo information; is the first information matching weight value; is the first information matching value; Matching weight value for the second information; is the second information matching value; A weight value for matching the third information; is the third information matching value; The cargo information matching degree is compared with a cargo information matching threshold to obtain a cargo information matching result.

[0013] Further, according to the reading state, reading delay time and reading information comparison of the RFID reader, an RFID tag abnormal value is obtained; according to the comparison result between the RFID tag abnormal value and the tag abnormal threshold, the process of obtaining the transport state monitoring value includes: Acquire the reading status, the reading delay time and the reading information of the RFID reader during cargo transportation; According to the read state, the read position information in the read information, and the read cargo information, respectively obtain a read state weight, a position information matching value, and the second information matching value; The reading state weight, the position information matching value and the second information matching value are evaluated to obtain the RFID tag abnormal value; the calculation formula of the RFID tag abnormal value is: ; in, is the abnormal value of the RFID tag; is the read state weight; is an exponential function; To read the delay time weight value; is the read latency threshold; is the read delay time; Matching weight value for location information; is the location information matching value; Matching weight value for cargo information; is the second information matching value; The RFID tag abnormal value is compared with the tag abnormal threshold. If it does not exceed the tag abnormal threshold, the positioning cargo data during transportation is feature matched with the cargo data before transportation to obtain the transportation status monitoring value; otherwise, the transportation status monitoring value is obtained according to the RFID tag abnormal value and abnormal information is fed back.

[0014] Furthermore, the implementation process of obtaining the optimal transportation path using the multi-objective cargo transportation path optimization model includes: Obtaining the importance of the cargo and the historical cargo information matching degree and historical transportation status monitoring value of the transportation route; The multi-objective cargo transportation path optimization model is constructed, with minimizing transportation cost and minimizing transportation time as optimization objectives, and the importance, the historical cargo information matching degree and the historical transportation status monitoring value are combined to obtain the comprehensive objective function of the multi-objective cargo transportation path optimization model; the comprehensive objective function is expressed as: ; in, is the comprehensive objective function; To minimize operations; is the comprehensive objective function expression; is the importance of the cargo g; is the matching degree of the historical cargo information of cargo g from node i to node j; is the historical transportation status monitoring value of cargo g from node i to node j; is the transportation cost from node i to node j; is the transportation time from node i to node j; According to the comprehensive objective function, the optimal transportation path is solved.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention proposes a cargo information matching function for ensuring the information security of cargo under different logistics conditions; the function divides cargo information into three stages: before, during and after transportation; through cargo information collection and comparison at different stages, a first information matching value, a second information matching value and a third information matching value are obtained; the information matching values ​​at three different stages are weighted and summed to obtain a cargo information matching value; the function can use the cargo information matching value to comprehensively measure the information integrity under the cargo logistics state, thereby improving the efficiency and reliability of the supply chain system.

[0016] 2. The present invention proposes a transportation status monitoring function for monitoring abnormal conditions of RFID tags and cargo status; this function first collects the reading status, reading delay time and reading information of the RFID reader, compares the evaluated RFID tag abnormal value with the tag abnormal threshold, and performs feature matching on the cargo data in transportation and the cargo data before transportation according to the comparison result to obtain the transportation status monitoring value; this function can take into account both RFID tag status monitoring and cargo status monitoring, effectively solve the cause screening of abnormal cargo status, and effectively improve the efficiency and reliability of the supply chain system.

[0017] 3. The present invention proposes a multi-objective cargo transportation path optimization model for obtaining the optimal transportation path; the model combines the importance of the cargo, the cargo information matching value of the transportation route and the transportation status monitoring value, and takes the transportation cost and transportation time as the optimization objectives to obtain the optimal solution, thereby determining the optimal transportation path; the model takes into account multiple factors such as the importance of the cargo, the security of cargo information and the transportation status of the cargo, and conducts a more comprehensive transportation path selection, thereby improving the efficiency and reliability of the supply chain system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a structural schematic diagram of a high-efficiency intelligent supply chain system based on RFID of the present invention; Figure 2 It is a schematic diagram of the process of obtaining the transport status monitoring value of the present invention; Figure 3 The figure is a flow chart of a high-efficiency intelligent supply chain method based on RFID of the present invention. DETAILED DESCRIPTION

[0019] 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.

[0020] The following will specifically describe an RFID-based high-efficiency intelligent supply chain system and method proposed by the present invention in combination with Embodiment 1 and Embodiment 2.

[0021] Embodiment 1 In order to improve the efficiency and intelligence of the clothing supply chain, a clothing brand manufacturer can timely feedback abnormal situations in transportation and intelligently optimize transportation routes. The invention introduces a high-efficiency intelligent supply chain system based on RFID. The structure of the system is as follows: Figure 1 The specific implementation process is as follows: The cargo label allocation unit is used to allocate corresponding RFID labels to the cargo; the importance of the cargo is obtained according to the sales price, supply quantity and vulnerability of the cargo, and the RFID labels are allocated according to the importance; Furthermore, the specific process of the cargo label allocation unit allocating RFID labels according to the importance of the cargo includes: The vulnerability of the goods is obtained based on the proportion of damaged goods in the transported goods. Evaluate the sales price, supply and vulnerability of the goods to obtain the importance of the goods; Furthermore, parameters related to the vulnerability of goods need to be retrieved from historical transportation data of similar types of goods; Furthermore, the calculation formula for the importance of goods is: ; in, is the importance of the goods. The larger the value, the more important the goods are. is the inverse tangent function; is the sales price weight factor; is the sales price; is the standard value of sales price; is the supply weight factor; for the supply; is the standard value of supply; is the vulnerability weight factor; is the damage quantity; The quantity of goods transported; Furthermore, the sales price weight factor, supply quantity weight factor and vulnerability weight factor are set to 0.35, 0.3 and 0.35 respectively; the setting of the sales price standard value and supply quantity standard value is related to factors such as the type of goods and production specifications, and needs to be adjusted according to actual conditions; According to the importance of the goods, corresponding RFID tags are assigned to the goods based on frequency selection, capacity selection and security selection.

[0022] In this embodiment, the importance of the goods is obtained by comprehensively evaluating the sales price, supply volume and fragility of the goods; and corresponding RFID tags are assigned to the goods according to their importance, so that the goods can be effectively classified and managed, thereby improving the efficiency and reliability of supply chain management.

[0023] The cargo information matching unit is used to match and proofread the cargo information; specifically: combining the first information matching value of the current supply chain node, the second information matching value at fixed intervals during transportation, and the third information matching value between the current supply chain node and the next node to obtain the cargo information matching degree; combining the cargo information matching degree and the cargo information matching threshold to obtain the cargo information matching result; Furthermore, the process of the cargo information matching unit obtaining the cargo information matching result includes: Obtaining a first information matching value according to the product information at the input end and the output end of the current supply chain node; Obtaining a second information matching value according to the product information at fixed intervals during transportation and the product information before transportation; Obtaining a third information matching value according to the product information at the output end of the current supply chain node and the input end of the next node; Combine the first information matching value, the second information matching value and the third information matching value to obtain the cargo information matching degree. The calculation formula of the cargo information matching degree is: ; in, The matching degree of cargo information; is the first information matching weight value; is the first information matching value; Matching weight value for the second information; is the second information matching value; A weight value for matching the third information; is the third information matching value; Furthermore, the information of the supply chain nodes and the goods in the transportation process is obtained by reading and parsing the RFID tag data; the first information matching weight value, the second information matching weight value and the third information matching weight value are set to 0.35, 0.3 and 0.35 respectively; the fixed time can be flexibly set according to the actual situation; Furthermore, the first information matching value, the second information matching value and the third information matching value can be expressed as: ; in, , and are respectively a first information matching value, a second information matching value and a third information matching value; is the number of matches; It is the minimum value of the data quantity in the cargo information; is the intersection operation; N is the number of times the goods information is collected during the transportation process; and They are the product information at the input and output ends of the current supply chain node respectively; and They are the i-th cargo information collected during transportation and the cargo information before transportation; The product information for the next node input; The cargo information matching degree is compared with the cargo information matching threshold to obtain the cargo information matching result.

[0024] In order to illustrate the cargo information matching strategy proposed in the present invention, three different cargoes are randomly selected for cargo information matching tests, which are respectively recorded as test one, test two and test three; cargo information of each cargo is collected before, during and after transportation, wherein the number of times cargo information is collected during transportation is set to 20; the cargo information matching degree of each cargo is obtained by combining the calculation formula of the first information matching value, the second information matching value, the third information matching value and the cargo information matching degree; at the same time, the cargo information matching threshold is set to 0.9, and the cargo information matching test results are shown in Table 1.

[0025] Table 1. Cargo information matching test results

[0026] By collecting and comparing cargo information at different transportation stages, the first information matching value, the second information matching value and the third information matching value are obtained; the information matching values ​​of the three different stages are weighted and summed to obtain the cargo information matching value; the cargo information matching value can be used to comprehensively measure the information integrity under the cargo logistics status, thereby improving the efficiency and reliability of the supply chain system.

[0027] The cargo transportation monitoring unit is used to manage the abnormal state of the RFID tag and the cargo state during transportation; obtain the abnormal value of the RFID tag according to the reading state of the RFID reader, the reading delay time and the reading information comparison; obtain the transportation state monitoring value according to the comparison result between the abnormal value of the RFID tag and the abnormal threshold of the tag; obtain the cargo state information according to the transportation state monitoring value; Further, the process of obtaining the transport status monitoring value can refer to Figure 2 , the specific process is as follows: Obtain the reading status, reading delay time and reading information of the RFID reader during cargo transportation; According to the read status, the read position information in the read information, and the read cargo information, the read status weight, the position information matching value, and the second information matching value are obtained respectively; the read status weight and the position information matching value can be expressed as: ; in, is the read state weight; is the location information matching value; To read the position vector; is the actual position vector, and the position information is obtained through the GPS on the truck; represents the vector inner product; The reading state weight, reading delay time, location information matching value and second information matching value are evaluated to obtain the RFID tag abnormal value; the calculation formula of the RFID tag abnormal value is: ; in, is the RFID tag outlier; is an exponential function; is the read state weight; To read the delay time weight value; is the read latency threshold; is the read delay time; Matching weight value for location information; is the location information matching value; Matching weight value for cargo information; is the second information matching value; Furthermore, the reading delay time weight value, the location information matching weight value, and the cargo information matching weight value are set to 0.35, 0.3, and 0.35, respectively; the setting of the reading delay time threshold value is related to the RFID tag type and usage time, and needs to be adjusted according to actual conditions; The RFID tag abnormal value is compared with the tag abnormal threshold. If it does not exceed the tag abnormal threshold, the positioning cargo data during transportation is feature matched with the cargo data before transportation to obtain the transportation status monitoring value; otherwise, the transportation status monitoring value is obtained according to the RFID tag abnormal value and the abnormal information is fed back.

[0028] Furthermore, when the RFID tag abnormal value does not exceed the tag abnormal threshold, the cargo data to be matched is located through the RFID tag, and then the located cargo data and the cargo data before transportation are input into the pre-trained VGG19 model to obtain their respective features and calculate the transportation status monitoring value; the transportation status monitoring value can be expressed as: ; in, is the transport status monitoring value; M is the number of characteristic samples; is the L2 norm; is the data feature of the cargo in transit of the jth sample; is the pre-transportation cargo data feature of the jth sample; Further, when the RFID tag abnormal value exceeds the tag abnormal threshold, the complement of the RFID tag abnormal value with respect to 1 is used as the transportation state monitoring value; Furthermore, the transport state monitoring value is compared with the transport state monitoring threshold to obtain the transport state monitoring result; the transport state monitoring threshold is set to 0.7.

[0029] In order to illustrate the effectiveness of the transportation status monitoring proposed in the present invention, three different goods in the transportation process are randomly selected for transportation status monitoring, and the goods are on different trucks, which are recorded as test sample 1, test sample 2 and test sample 3; the reading status, reading delay time and reading information of the RFID reader under different samples are collected, and the RFID tag abnormal value of each sample is obtained by combining the calculation formula of the RFID tag abnormal value; the tag abnormal threshold is set to 0.68, and the respective transportation status monitoring values ​​are obtained according to the comparison result of the RFID tag abnormal value and the tag abnormal threshold; the transportation status monitoring test results are shown in Table 2.

[0030] Table 2. Transport status monitoring test results

[0031] In this embodiment, the RFID tag abnormality value obtained by evaluating the reading status, reading delay time and reading information of the RFID reader is compared with the tag abnormality threshold, and the feature matching of the cargo data during and before transportation is performed according to the comparison result to obtain the transportation status monitoring value; in this way, RFID tag status monitoring and cargo status monitoring can be taken into account at the same time, and the cause screening of abnormal cargo status can be effectively solved, which effectively improves the efficiency and reliability of the supply chain system.

[0032] The cargo transportation path optimization unit is used to optimize the cargo transportation path; it combines the importance and the historical cargo information matching degree of the transportation routes between supply chain nodes and the historical transportation status monitoring values, and uses the multi-objective cargo transportation path optimization model to optimize the current transportation path to obtain the optimal transportation path.

[0033] Furthermore, the process of obtaining the optimal transportation path by the cargo transportation path optimization unit using the multi-objective cargo transportation path optimization model includes: Obtain the importance of the goods, the matching degree of historical goods information of the transportation route, and the historical transportation status monitoring value; Construct a multi-objective cargo transportation path optimization model, with minimizing transportation cost and minimizing transportation time as the optimization objectives, and combine importance, historical cargo information matching degree and historical transportation status monitoring value to obtain the comprehensive objective function of the multi-objective cargo transportation path optimization model; The comprehensive objective function is expressed as: ; in, is the comprehensive objective function; To minimize operations; is the comprehensive objective function expression; is the importance of the cargo g; is the matching degree of historical cargo information of cargo g from node i to node j; is the historical transportation status monitoring value of cargo g from node i to node j; is the transportation cost from node i to node j; is the transportation time from node i to node j; , and The objective functions are , objective function And the objective function The weight of Further, , and Set to 0.3, 0.35 and 0.35 respectively; Furthermore, the objective function , objective function And the objective function The expressions are: ; in, To collect goods; Assemble for transport routes; is the transportation cost from node i to node j; is a decision variable, if goods Transportation route , then the value is 1, otherwise it is 0; is the transportation time from node i to node j; is the importance weight factor; For goods The importance of is the cargo information weight factor; is the matching degree of historical cargo information of cargo g from node i to node j; is the transport status weight factor; is the historical transportation status monitoring value of cargo g from node i to node j; Furthermore, the importance weight factor, cargo information weight factor, and transportation status weight factor are set to 0.3, 0.35, and 0.35, respectively.

[0034] The multi-objective cargo transportation path optimization model in this embodiment combines the importance of cargo, the cargo information matching value of the transportation route and the transportation status monitoring value, and takes the transportation cost and transportation time as the optimization objectives to obtain the optimal solution, thereby determining the optimal transportation path; the model takes into account multiple factors such as the importance of cargo, cargo information security and cargo transportation status, and selects the transportation path more comprehensively, thereby improving the efficiency and reliability of the supply chain system.

[0035] According to the comprehensive objective function, the optimal transportation path is solved.

[0036] In this embodiment, a high-efficiency intelligent supply chain system based on RFID is proposed, and the system includes: a cargo label allocation unit is used to obtain the importance of the cargo according to the sales price, supply volume and vulnerability of the cargo, and allocate RFID labels according to the importance; a cargo information matching unit is used to obtain the cargo information matching degree according to the information matching value calculated under different transportation states; the cargo information matching degree is combined with the cargo information matching threshold to obtain the cargo information matching result; the cargo transportation monitoring unit is used to manage the RFID tag abnormal state and the cargo state during transportation according to the RFID tag abnormal value and the transportation state monitoring value; the cargo transportation path optimization unit is used to combine the importance and the historical cargo information matching degree and the historical transportation state monitoring value of the transportation route between the supply chain nodes, and obtain the optimal transportation path by using a multi-objective cargo transportation path optimization model; the system can effectively improve the efficiency and reliability of supply chain management.

[0037] Embodiment 2 The present invention also provides a high-efficiency intelligent supply chain method based on RFID. The process of the method can be referred to Figure 3 ,include: S10. Obtain the sales price, supply and fragility of the goods, and combine them with the calculation formula of importance to obtain the importance of the goods; assign different RFID tags to the goods according to the importance; Furthermore, the specific process of the cargo label allocation unit allocating RFID labels according to the importance of the cargo includes: The vulnerability of the goods is obtained based on the proportion of damaged goods in the transported goods. Evaluate the sales price, supply and vulnerability of the goods to obtain the importance of the goods; The calculation formula for the importance of goods is: ; in, is the importance of the goods. The larger the value, the more important the goods are. is the inverse tangent function; is the sales price weight factor; is the sales price; is the standard value of sales price; is the supply weight factor; for the supply; is the standard value of supply; is the vulnerability weight factor; is the damage quantity; The quantity of goods transported; According to the importance of the goods, corresponding RFID tags are assigned to the goods based on frequency selection, capacity selection and security selection.

[0038] In order to illustrate the process of allocating RFID tags according to the importance of goods in the present invention, three different types of goods data are randomly selected for label allocation test, which are respectively recorded as test data one, test data two and test data three; according to the type and production specifications of each goods, the standard value of the sales price and the standard value of the supply quantity are set, and the importance of each goods is obtained according to the proportion of the damaged quantity, the sales price and the supply quantity in each goods data; the importance threshold is set to 0.8, and a suitable RFID tag is selected for each goods according to the importance threshold. The label allocation test results are shown in Table 3.

[0039] S20. Obtain the cargo information matching degree according to the first information matching value of the current supply chain node, the second information matching value calculated at fixed intervals during transportation, and the third information matching value between the current supply chain node and the next node; and obtain the cargo information matching result by combining the cargo information matching degree with the cargo information matching threshold; Furthermore, combining the cargo information matching degree and the cargo information matching threshold, the specific process of obtaining the cargo information matching result includes: Obtaining a first information matching value according to the product information at the input end and the output end of the current supply chain node; Obtaining a second information matching value according to the product information at fixed intervals during transportation and the product information before transportation; Obtaining a third information matching value according to the product information of the output end in the current supply chain node and the input end in the next node; Table 3. Label allocation test results

[0040] Combine the first information matching value, the second information matching value and the third information matching value to obtain the cargo information matching degree. The calculation formula of the cargo information matching degree is: ; in, The matching degree of cargo information; is the first information matching weight value; is the first information matching value; Matching weight value for the second information; is the second information matching value; A weight value for matching the third information; is the third information matching value; The cargo information matching degree is compared with the cargo information matching threshold to obtain the cargo information matching result.

[0041] S30. According to the reading status, reading delay time and reading information comparison of the RFID reader, the RFID tag abnormal value is obtained; according to the comparison result between the RFID tag abnormal value and the tag abnormal threshold, the transport status monitoring value is obtained; according to the transport status monitoring value, the cargo status information is obtained; Further, according to the reading state, reading delay time and reading information comparison of the RFID reader, the RFID tag abnormal value is obtained; according to the comparison result between the RFID tag abnormal value and the tag abnormal threshold, the process of obtaining the transportation state monitoring value includes: Obtain the reading status, reading delay time and reading information of the RFID reader during cargo transportation; According to the reading state, the reading position information in the reading information, and the reading cargo information, respectively obtain the reading state weight, the position information matching value, and the second information matching value; The reading state weight, the position information matching value, and the second information matching value are evaluated to obtain the RFID tag abnormal value; the calculation formula of the RFID tag abnormal value is: ; in, is the RFID tag outlier; is an exponential function; is the read state weight; To read the delay time weight value; is the read latency threshold; is the read delay time; Matching weight value for location information; is the location information matching value; Matching weight value for cargo information; is the second information matching value; The RFID tag abnormal value is compared with the tag abnormal threshold. If it does not exceed the tag abnormal threshold, the positioning cargo data during transportation is feature matched with the cargo data before transportation to obtain the transportation status monitoring value; otherwise, the transportation status monitoring value is obtained according to the RFID tag abnormal value and the abnormal information is fed back.

[0042] S40. Combined with the importance and the historical cargo information matching degree of the transportation routes between supply chain nodes and the historical transportation status monitoring value, the multi-objective cargo transportation path optimization model is used to optimize the current transportation path to obtain the optimal transportation path.

[0043] Furthermore, the implementation process of obtaining the optimal transportation path using the multi-objective cargo transportation path optimization model includes: Obtain the importance of the goods, the matching degree of historical goods information of the transportation route, and the historical transportation status monitoring value; A multi-objective cargo transportation path optimization model is constructed, with minimizing transportation cost and minimizing transportation time as the optimization objectives. The comprehensive objective function of the multi-objective cargo transportation path optimization model is obtained by combining importance, historical cargo information matching degree and historical transportation status monitoring value. The comprehensive objective function is expressed as: ; in, is the comprehensive objective function; To minimize operations; is the comprehensive objective function expression; is the importance of the cargo g; is the matching degree of historical cargo information of cargo g from node i to node j; is the historical transportation status monitoring value of cargo g from node i to node j; is the transportation cost from node i to node j; is the transportation time from node i to node j; According to the comprehensive objective function, the optimal transportation path is solved.

[0044] 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. A high-efficiency intelligent supply chain system based on RFID, characterized in that: include: A cargo label allocation unit is used to allocate corresponding RFID labels to cargoes; obtain the importance of cargoes according to the sales price, supply quantity and fragility of cargoes, and allocate RFID labels according to the importance; The cargo information matching unit is used to match and proofread the cargo information; specifically, the first information matching value of the current supply chain node, the second information matching value at fixed intervals during transportation, and the third information matching value between the current supply chain node and the next node are combined to obtain the cargo information matching degree; the cargo information matching degree is combined with the cargo information matching threshold to obtain the cargo information matching result; The cargo transportation monitoring unit is used to manage the abnormal state of the RFID tag and the cargo state during transportation; obtain the abnormal value of the RFID tag according to the reading state, reading delay time and reading information of the RFID reader; obtain the transportation state monitoring value according to the abnormal value of the RFID tag and the abnormal threshold of the tag; obtain the cargo state information according to the transportation state monitoring value; The cargo transportation path optimization unit is used to optimize the cargo transportation path; combining the importance and the historical cargo information matching degree and historical transportation status monitoring value of the transportation routes between supply chain nodes, the multi-objective cargo transportation path optimization model is used to optimize the current transportation path to obtain the optimal transportation path.

2. According to claim 1, a high-efficiency intelligent supply chain system based on RFID is characterized in that: The specific process of the cargo label allocation unit allocating RFID labels according to the importance of the cargo includes: The vulnerability of the goods is obtained according to the proportion of the damaged goods in the transported goods; Evaluate the sales price, supply volume and vulnerability of the goods to obtain the importance of the goods; In combination with the importance of the goods, corresponding RFID tags are allocated to the goods on the basis of frequency selection, capacity selection and security selection.

3. The high-efficiency intelligent supply chain system based on RFID according to claim 1 is characterized in that: The process of the cargo information matching unit obtaining the cargo information matching result includes: Obtaining a first information matching value according to the product information at the input end and the output end of the current supply chain node; Obtaining a second information matching value according to the product information at fixed intervals during transportation and the product information before transportation; Obtaining a third information matching value according to the product information at the output end of the current supply chain node and the input end of the next node; Combine the first information matching value, the second information matching value and the third information matching value to obtain the cargo information matching degree. The calculation formula of the cargo information matching degree is: ； in, is the matching degree of the cargo information; is the first information matching weight value; is the first information matching value; Matching weight value for the second information; is the second information matching value; A weight value for matching the third information; is the third information matching value; The cargo information matching degree is compared with a cargo information matching threshold to obtain a cargo information matching result.

4. The high-efficiency intelligent supply chain system based on RFID according to claim 1 is characterized in that: The process of implementing the cargo transportation monitoring unit to obtain the transportation status monitoring value includes: Acquire the reading status, the reading delay time and the reading information of the RFID reader during cargo transportation; According to the read state, the read position information in the read information, and the read cargo information, respectively obtain a read state weight, a position information matching value, and the second information matching value; The reading state weight, the reading delay time, the position information matching value and the second information matching value are evaluated to obtain the RFID tag abnormal value; the calculation formula of the RFID tag abnormal value is: ； in, is the abnormal value of the RFID tag; is the read state weight; is an exponential function; To read the delay time weight value; is the read latency threshold; is the read delay time; Matching weight value for location information; is the location information matching value; Matching weight value for cargo information; is the second information matching value; The RFID tag abnormal value is compared with the tag abnormal threshold. If it does not exceed the tag abnormal threshold, the positioning cargo data during transportation is feature matched with the cargo data before transportation to obtain the transportation status monitoring value; otherwise, the transportation status monitoring value is obtained according to the RFID tag abnormal value and abnormal information is fed back.

5. The high-efficiency intelligent supply chain system based on RFID according to claim 1 is characterized in that: The process of obtaining the optimal transportation path by the cargo transportation path optimization unit using the multi-objective cargo transportation path optimization model includes: Obtaining the importance of the cargo and the historical cargo information matching degree and historical transportation status monitoring value of the transportation route; Constructing the multi-objective cargo transportation path optimization model, taking minimizing transportation cost and minimizing transportation time as optimization objectives, and combining the importance, the historical cargo information matching degree and the historical transportation status monitoring value to obtain the comprehensive objective function of the multi-objective cargo transportation path optimization model; The comprehensive objective function is expressed as: ； in, is the comprehensive objective function; To minimize operations; is the comprehensive objective function expression; is the importance of the cargo g; is the matching degree of the historical cargo information of cargo g from node i to node j; is the historical transportation status monitoring value of cargo g from node i to node j; is the transportation cost from node i to node j; is the transportation time from node i to node j; According to the comprehensive objective function, the optimal transportation path is solved.

6. A high-efficiency intelligent supply chain method based on RFID, characterized in that: include: Obtain the sales price, supply and fragility of the goods, and combine them with the calculation formula of importance to obtain the importance of the goods; assigning different RFID tags to the goods according to the importance; Obtaining a cargo information matching degree according to a first information matching value of a current supply chain node, a second information matching value calculated at fixed intervals during transportation, and a third information matching value between the current supply chain node and the next node; and obtaining a cargo information matching result by combining the cargo information matching degree with a cargo information matching threshold; According to the reading state, reading delay time and reading information comparison of the RFID reader, an RFID tag abnormal value is obtained; according to the comparison result between the RFID tag abnormal value and the tag abnormal threshold, a transportation status monitoring value is obtained; according to the transportation status monitoring value, cargo status information is obtained; Combining the importance and the historical cargo information matching degree and historical transportation status monitoring value of the transportation routes between supply chain nodes, a multi-objective cargo transportation path optimization model is used to optimize the current transportation path to obtain the optimal transportation path.

7. The high-efficiency intelligent supply chain method based on RFID according to claim 6 is characterized in that: The specific process of obtaining the cargo information matching result by combining the cargo information matching degree and the cargo information matching threshold includes: Obtaining a first information matching value according to the product information at the input end and the output end of the current supply chain node; Obtaining a second information matching value according to the product information at fixed intervals during transportation and the product information before transportation; Obtaining a third information matching value according to the product information at the output end of the current supply chain node and the input end of the next node; Combine the first information matching value, the second information matching value and the third information matching value to obtain the cargo information matching degree. The calculation formula of the cargo information matching degree is: ； in, is the matching degree of the cargo information; is the first information matching weight value; is the first information matching value; Matching weight value for the second information; is the second information matching value; A weight value for matching the third information; is the third information matching value; The cargo information matching degree is compared with a cargo information matching threshold to obtain a cargo information matching result.

8. The high-efficiency intelligent supply chain method based on RFID according to claim 6 is characterized in that: According to the reading status of the RFID reader, the reading delay time and the reading information comparison, the abnormal value of the RFID tag is obtained; The process of obtaining the transport status monitoring value according to the comparison result between the RFID tag abnormal value and the tag abnormal threshold value includes: Acquire the reading status, the reading delay time and the reading information of the RFID reader during cargo transportation; According to the read state, the read position information in the read information, and the read cargo information, respectively obtain a read state weight, a position information matching value, and the second information matching value; The reading state weight, the position information matching value and the second information matching value are evaluated to obtain the RFID tag abnormal value; the calculation formula of the RFID tag abnormal value is: ； in, is the abnormal value of the RFID tag; is the read state weight; is an exponential function; To read the delay time weight value; is the read latency threshold; is the read delay time; Matching weight value for location information; is the location information matching value; Matching weight value for cargo information; is the second information matching value; The RFID tag abnormal value is compared with the tag abnormal threshold. If it does not exceed the tag abnormal threshold, the positioning cargo data during transportation is feature matched with the cargo data before transportation to obtain the transportation status monitoring value; otherwise, the transportation status monitoring value is obtained according to the RFID tag abnormal value and abnormal information is fed back.

9. The high-efficiency intelligent supply chain method based on RFID according to claim 6, characterized in that: The implementation process of obtaining the optimal transportation path by using the multi-objective cargo transportation path optimization model includes: Obtaining the importance of the cargo and the historical cargo information matching degree and historical transportation status monitoring value of the transportation route; The multi-objective cargo transportation path optimization model is constructed, with minimizing transportation cost and minimizing transportation time as optimization objectives, and the importance, the historical cargo information matching degree and the historical transportation status monitoring value are combined to obtain the comprehensive objective function of the multi-objective cargo transportation path optimization model; the comprehensive objective function is expressed as: ； in, is the comprehensive objective function; To minimize operations; is the comprehensive objective function expression; is the importance of the cargo g; is the matching degree of the historical cargo information of cargo g from node i to node j; is the historical transportation status monitoring value of cargo g from node i to node j; is the transportation cost from node i to node j; is the transportation time from node i to node j; According to the comprehensive objective function, the optimal transportation path is solved.

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