Logistics management method and device based on commodity orders

Abstract

The invention discloses a logistics management method and device based on commodity orders. The method belongs to the technical field of commodity logistics, and comprises the following operation steps: when a new order is reported to a transportation device, analyzing a historical order based on an obtained merchant data source message to obtain a first attribute feature of the new order, generating first biological information, and performing fuzzy verification; a real-time verification logistics track is generated through real-time synchronous verification of the relation; the new order checks the watermark key compliance of the identity information based on the historical order and consumer characteristic credit assessment, outputs a check order in a selected check logistics track to carry out identity secondary check and credit assessment weighted synchronization on the new order, and obtains a server check response and target area credit assessment; and the key order checks target area credit assessment and watermark key compliance of the new order based on the real-time check relationship. The method does not need to depend on early-stage calculation of a transportation supervisor, accurately and objectively judges the later-stage accurate safety condition of the merchant, and has a good effect of maintaining the viscosity of the user after the event.

Description

Technical Field

[0001] The invention belongs to the technical field of commodity logistics, and relates to a commodity order-based logistics management method and device. Background Art

[0002] With the continuous development of Internet technology, more and more platforms are entering the logistics business. At the same time, bidders can also undertake the logistics business of multiple platforms. At present, the same logistics can also undertake other orders on other platforms during a single order process to obtain more benefits. However, this phenomenon will not only lead to a decrease in the timeliness of the current order and a poor order experience, but will also cause losses to the platform where the current order is located.

[0003] However, the demand for related materials during the transportation process generally relies solely on the preliminary calculations of transportation supervisors and other personnel, and cannot accurately and objectively judge the accurate safety situation for merchants in the later stage, especially for maintaining user stickiness afterwards; therefore, a logistics management solution based on commodity orders is urgently needed. Summary of the invention

[0004] In view of the above problems, the present invention aims to propose a logistics management method and device based on commodity orders.

[0005] The technical solution of the present invention is: a logistics management method based on commodity orders described in the present invention, the operation steps of which are as follows:

[0006] Step (1): when a new order is reported to the transport device, the historical order is analyzed based on the merchant data source message to obtain the first attribute feature of the new order, generate the first biometric information and perform fuzzy verification;

[0007] Step (2): Based on the fuzzy verification response of the first biometric information, the verification relationship is synchronized in real time to generate a real-time verification logistics track;

[0008] Step (3): Based on the real-time verification of the logistics track, the new order is verified based on the watermark key compliance of the identity information and the credit assessment of the consumer user characteristics based on the historical orders, and the client verification response is output;

[0009] Step (4): According to the client verification response, select the verification order in the verification logistics track to perform secondary identity verification and credit assessment weighted synchronization on the new order, and obtain the server verification response and target area credit assessment;

[0010] Step (5): Based on the verification response from the server, the key order verifies the target region credit assessment and watermark key compliance of the new order based on the real-time verification relationship, and synchronizes and monitors the risk of the real-time relationship;

[0011] Furthermore, the operation steps of step (1) are as follows:

[0012] Step (1.1): The new order reports the transportation demand information to the historical order broadcast based on the broadcast;

[0013] Step (1.2): Historical orders are based on detecting the merchant data source message sent by the new order, analyzing the logistics route status information and detecting the merchant inventory obtained by the merchant data source message of the new order;

[0014] Step (1.3): Combine the analyzed logistics route status information and the acquired merchant inventory to generate the first biological information of the new order;

[0015] Step (1.4): The historical order matches the generated first biometric information of the new order with the first biometric information database of the compliant order stored locally, and the expression is as follows:

[0016]

[0017] In the formula, S(P new ,P i ) represents the matching score between the new order biological information and the i-th biological information in the biological information database, P new Indicates new order biological information, P i represents the i-th biological information in the biological information database, i represents the biological information identifier in the biological information database, k represents the key point identifier, m represents the number of key points, P new [k] represents the kth key point of the new order biological information, P i [k] represents the kth key point of the i-th biological information in the biological information database;

[0018] Step (1.5): Set a matching pass line, compare the matching score with the matching pass line, and determine whether the biometric information match is valid.

[0019] Furthermore, the operation steps of step (2) are as follows:

[0020] Step (2.1): After the transport device control center obtains the new order sent by the historical order, it registers the new order in the order set in the real-time relationship;

[0021] Step (2.2): According to the historical order set of the new order, add log records of the new order and the historical orders, and calculate the priority value of each log record; its expression is as follows:

[0022] w a,b =α·C a,b +β·(1-T a,b )

[0023] In the formula, w a,bIndicates the priority value between the first order a and the most recent order b, where a represents the first order, b represents the most recent order, and C a,b represents the verification resource requirement between the first order a and the most recent order b, α represents the priority value coefficient of the verification resource requirement, β represents the priority value coefficient of the credit assessment, T a ,b represents the credit evaluation between the first order a and the most recent order b;

[0024] Step (2.3): Based on the real-time relationship and the calculated log record priority value, the shortest logistics trajectory algorithm is used to generate the verification logistics trajectory from the new order to the key order in the target area, which is expressed as follows:

[0025] M new = arg min∑ (a,b)∈M w a,b ,

[0026] Where M new It represents the initial verification logistics track of the new order, and M represents a logistics track in the real-time verification relationship.

[0027] Furthermore, the operation steps of step (3) are as follows:

[0028] Step (3.1): The new order sends a verification transport demand message to its historical orders based on the verification logistics track information provided in the real-time verification relationship;

[0029] Step (3.2): After the historical order obtains the verification transport demand message of the new order, it uses the public key of the transport device control center to verify the identity information and watermark key of the new order;

[0030] Step (3.3): Based on the watermark key verification response, the consumer of the new order is monitored in real time;

[0031] Step (3.4): Historical orders compare these consumer users with the historical safe consumer user model and calculate the consumer user deviation assessment;

[0032] Step (3.5): The credit evaluation of new orders is synchronized based on the identity verification response and consumer user deviation evaluation of historical orders;

[0033] Step (3.6): Set the credit qualification line, compare the credit assessment of the synchronized new order with the credit qualification line, and output the client verification response.

[0034] Furthermore, the operation steps of step (4) are as follows:

[0035] Step (4.1): The transport device control center obtains the connection relationship between the new order and the historical order and the log record priority value according to the real-time verification relationship;

[0036] Step (4.2): According to the shortest logistics trajectory algorithm of real-time relationship, select the historical order set with the lowest verification resource requirement as the verification order set;

[0037] Step (4.3): The new order sends a verification transport requirement message to each verified order based on the information in the verified order set;

[0038] Step (4.4): Each verification order performs a second verification on the compliance of the identity information and watermark key of the new order;

[0039] Step (4.5): Based on the secondary verification response and the client's credit assessment, combined with its own credit assessment, the credit assessment of the new order is weighted and synchronized to obtain the credit assessment of the target area;

[0040] Step (4.6): Set the credit qualification line of the transport device layer, compare the credit assessment of the target area with the credit qualification line of the transport device layer, and obtain the server verification response.

[0041] Further, in step (5), according to the verification response of the server, the specific operation steps of the key order checking the target area credit assessment and watermark key compliance of the new order based on the real-time verification relationship are as follows:

[0042] Step (5.1): The transport device control center broadcasts the server verification response to the transport device layer key order set;

[0043] Step (5.2): The key order obtains the target area connection relationship and target area credit assessment of the new order from the real-time verification relationship;

[0044] Step (5.3): Based on the safety plan of the transport device layer, the key order determines whether the target area credit assessment of the new order meets the safety qualification line of the transport device layer;

[0045] Step (5.4): When the target area credit assessment of the new order is less than the safety qualification line, the key order performs a watermark check of the high inventory volume and requires the new order to send multiple signatures;

[0046] Specifically: 1. Key orders check the first signature and the second signature sent for new orders in turn;

[0047] Second, the key order queries the first biometric information in the real-time verification relationship and compares it with the biometric information data sent by the new order in the client and server verification to obtain a second verification response for the first biometric information;

[0048] 3. Key orders verify the completeness and uniformity of logistics tracks in real time on the service side;

[0049] Step (5.5): The key order combines the response of the target area credit assessment, multi-signature verification, first biometric information secondary verification and real-time verification logistics track verification to determine whether the transportation device layer verification has passed.

[0050] Furthermore, in step (5), the specific operation steps of synchronizing and monitoring the risk of the real-time relationship according to the target area credit assessment and watermark key compliance check response of the new order are as follows:

[0051] After the transport device layer verification is passed, the transport device control center broadcasts the verification response and credit evaluation of the new order to the target area, notifies all orders of the verification response, and synchronizes the real-time verification relationship of the formal registration of the new order;

[0052] From the synchronized real-time verification relationship, the credit assessment update frequency, order placement frequency, log record weight re-update frequency, and verification logistics track update frequency related to the order are analyzed;

[0053] According to the analyzed data, configure the risk monitoring pass line of credit assessment update frequency, order placement frequency, log record priority value update frequency, and logistics track verification update frequency;

[0054] Compare the analyzed data with the corresponding risk monitoring qualified line. When the order meets any risk condition, it is determined to be a risky order.

[0055] For the monitored risky orders, temporarily mark the orders and their related log records from the verification relationship, and perform the re-verification step;

[0056] When no risk orders are monitored, the verification step ends and the real-time verification relationship enters a stable operating state.

[0057] Furthermore, a logistics management device based on commodity orders includes:

[0058] Fuzzy verification unit: when a new order is reported to the transport device, the historical order is analyzed based on the merchant data source message to obtain the first attribute feature of the new order, generate the first biometric information and perform fuzzy verification;

[0059] Relationship synchronization unit: according to the first fuzzy verification response, synchronizes the verification relationship in real time and generates a real-time verification logistics track;

[0060] Equipment verification unit: Based on the real-time verification of logistics tracks, new orders are verified based on the watermark key compliance of identity information and credit assessment of consumer user characteristics based on historical orders, and the client verification response is output;

[0061] History verification unit: According to the verification response of the client, select the verification order in the logistics track to perform secondary identity verification and credit assessment weighted synchronization on the new order, and obtain the verification response of the server and the credit assessment of the target area;

[0062] The risk monitoring unit: according to the verification response of the service end, the key order checks the target area credit assessment and watermark key compliance of the new order based on the real-time verification relationship, and synchronizes and monitors the risk of the real-time relationship.

[0063] The beneficial effects of the present invention are as follows: the present invention obtains the first biometric information of the new order based on historical order analysis and performs fuzzy verification, which effectively avoids the security risks caused by forged identity information in traditional identity verification, and at the same time improves the reliability of verification by utilizing the first attribute feature; generates a verification logistics track according to the real-time verification relationship, so that the verification process can adapt in real time with the topology changes of the transportation device, significantly improves the verification efficiency and reduces the verification resource requirements; the real-time verification relationship is also based on the real-time adjustment of the log record priority value, comprehensively considers the verification resource requirements and credit evaluation, and ensures the optimality of the verification logistics track; based on watermark key verification and consumer user feature credit evaluation, the new order verification is enhanced to resist quantum computing attacks and malicious order disguises; the risk monitoring mechanism of the real-time verification relationship can monitor order consumer users in real time, quickly mark risky orders and execute re-verification steps, thereby improving the robustness of the verification device and the overall safety of the transportation device; in addition, the present invention does not need to rely on the preliminary calculations of transportation supervision personnel, and can accurately and objectively judge the accurate safety situation of the merchant in the later stage, which has a good effect on maintaining user stickiness afterwards. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a work flow chart of the present invention. DETAILED DESCRIPTION

[0065] The specific technical scheme of the present invention is further described in detail below with reference to specific examples.

[0066] As shown in the figure, the present invention provides a logistics management method based on commodity orders, and its operation steps are as follows:

[0067] S1. When a new order is reported to the transport device, the historical order is analyzed based on the merchant data source message to obtain the first attribute feature of the new order, generate the first biometric information and perform fuzzy verification. The operation steps are as follows:

[0068] S1.1. New orders report transportation demand information to historical orders based on broadcast;

[0069] S1.2, historical orders are based on detecting the merchant data source message sent by the new order, analyzing to obtain the logistics route status information and detecting the merchant inventory obtained by the merchant data source message of the new order;

[0070] Specifically, the expression for obtaining the merchant's inventory is as follows:

[0071] R=P t -L(d);

[0072] In the formula, R represents the merchant inventory, which is used to infer the authenticity of the physical location of the new order, and P t represents the generation efficiency value of new orders at time t, d represents the physical distance between new orders and historical orders. The longer the distance, the greater the merchant stickiness. L(d) represents the logistics route and logistics trajectory loss. The power stickiness caused by distance and environmental factors in the process of merchants propagating from new orders to historical orders is calculated based on the distance and logistics trajectory loss index.

[0073] S1.3, combining the analyzed logistics route status information and the acquired merchant inventory to generate the first biological information of the new order;

[0074] S1.4. Historical orders match the generated first biometric information of new orders with the first biometric information database of compliant orders stored locally. The expression is as follows:

[0075]

[0076] In the formula, S(P new ,P i ) represents the matching score between the new order biological information and the i-th biological information in the biological information database, P new Indicates new order biological information, P i represents the i-th biological information in the biological information database, i represents the biological information identifier in the biological information database, k represents the key point identifier, m represents the number of key points, P new [k] represents the kth key point of the new order biological information, P i [k] represents the kth key point of the i-th biological information in the biological information database;

[0077] S1.5. Set a matching pass line. When the matching score exceeds the matching pass line, the biometric information matching is valid.

[0078] The historical order binds the first biological information of the new order with its reported transportation demand information, and sends the matching response to the transportation device control center; when the matching score is lower than the matching qualification line, the transportation demand is rejected and the step ends;

[0079] S2. According to the fuzzy verification response of the first biometric information, the real-time synchronous verification relationship is generated to generate a real-time verification logistics track. The operation steps are as follows:

[0080] S2.1, after the transport device control center obtains the new order sent by the historical order, it registers the new order in the order set in the real-time relationship;

[0081] S2.2. According to the historical order set of the new order, add log records of the new order and the historical order, and calculate the priority value of each log record; the expression is as follows:

[0082] w a,b =α·C a,b +β·(1-T a,b );

[0083] In the formula, w a,b Indicates the priority value between the first order a and the most recent order b, where a represents the first order, b represents the most recent order, and C a,b represents the verification resource requirement between the first order a and the most recent order b, α represents the priority value coefficient of the verification resource requirement, β represents the priority value coefficient of the credit assessment, T a,b represents the credit evaluation between the first order a and the most recent order b;

[0084] Specifically, the expression for verifying resource requirements is as follows:

[0085] C a,b =D a,b +O a,b ;

[0086] Where D a,b represents the order delay between the first order a and the latest order b, O a,b Represents the computational cost between the first order a and the most recent order b;

[0087] The expression of credit evaluation is as follows:

[0088] T a,b =γ·T n +(1-γ)·T init ;

[0089] Where, T a,b represents the credit evaluation between the first order a and the most recent order b, γ represents the priority value coefficient of the credit evaluation feedback, T n It represents the credit evaluation of the new order by the historical order, and provides the subjective evaluation of the credit of the new order by the historical order. init Indicates the default initial credit assessment for new orders, ensuring that new orders can still obtain basic credit values ​​when there is no historical assessment feedback;

[0090] S2.3. Based on the real-time relationship and the calculated log record priority value, the shortest logistics trajectory algorithm is used to generate the verification logistics trajectory from the new order to the key order in the target area, and its expression is as follows:

[0091] M new = arg min∑ (a,b)∈M w a,b ;

[0092] Where M new represents the initial verification logistics track of a new order, and M represents a logistics track in the real-time verification relationship;

[0093] S3. Based on the real-time verification of the logistics track, the new order verifies the watermark key compliance of the identity information based on the historical order and the credit assessment of the consumer user characteristics, and outputs the client verification response. The operation steps are as follows:

[0094] S3.1. The new order sends a verification transport demand message to its historical orders based on the verification logistics track information provided in the real-time verification relationship;

[0095] S3.2, after the historical order obtains the verification transport demand message of the new order, it uses the public key of the transport device control center to verify the identity information of the new order; when the verification fails, it means that the identity information is invalid, and the historical order refuses to verify the transport demand; when the verification is valid, the historical order uses the public key of the new order to verify the watermark key in the message;

[0096] S3.3, based on the watermark key verification response, real-time monitoring of the consumer of the new order;

[0097] S3.4, historical orders compare these consumer users with the historical safe consumer user model and calculate the consumer user deviation assessment;

[0098] Specifically, the expression for consumer user deviation evaluation is as follows:

[0099]

[0100] Where R represents the consumer user deviation assessment, F[k] represents the kth consumer user key point currently monitored, and N[k] represents the kth key point of the safe consumer user model;

[0101] S3.5. Synchronize the credit assessment of new orders based on the identity verification response and consumer user deviation assessment for historical orders;

[0102] S3.6. Set the credit qualification line, compare the credit assessment of the synchronized new order with the credit qualification line, and determine the client verification response;

[0103] When the credit evaluation of the synchronized new order is greater than the credit qualification line, the client verification is based on the historical order and the response is sent to the transport device control center; when the credit evaluation of the synchronized new order is less than the credit qualification line, the client verification fails, the verification of the transportation demand is rejected and the risk consumption user is recorded;

[0104] Specifically, based on the identity verification response and the consumer user deviation evaluation, the expression for synchronizing the credit evaluation of the new order is as follows:

[0105] T l =E1·T a,b +E2·H+E3·(1-R);

[0106] Where, T l represents the credit evaluation of the new order after synchronization, E1 represents the priority value parameter of the credit evaluation between the first order a and the latest order b, H represents the identity verification evaluation, E2 represents the priority value parameter of the identity verification evaluation, and E3 represents the priority value parameter of the consumer user deviation evaluation;

[0107] S4. According to the client verification response, select the verification order in the logistics track to perform secondary identity verification and credit assessment weighted synchronization on the new order, and obtain the server verification response and target area credit assessment. The operation steps are as follows:

[0108] S4.1. The transport device control center obtains the connection relationship between the new order and the historical order and the log record priority value according to the real-time verification relationship;

[0109] S4.2. According to the shortest logistics trajectory algorithm of the real-time relationship, the historical order set with the lowest verification resource requirement is selected as the verification order set;

[0110] S4.3, the new order sends a verification transport demand message to each verified order based on the information in the verified order set;

[0111] S4.4. Each verification order performs a second verification on the compliance of the identity information and watermark key of the new order;

[0112] S4.5. Based on the secondary verification response and the client's credit assessment, combined with its own credit assessment, the credit assessment of the new order is weighted and synchronized to obtain the credit assessment of the target area;

[0113] S4.6. Set the credit qualification line of the transport device layer, compare the credit assessment of the target area with the credit qualification line of the transport device layer, and obtain a verification response from the server;

[0114] Specifically, when the target area credit assessment is greater than the credit qualification line of the transport device layer, the service end verification passes; when the target area credit assessment is less than the credit qualification line of the transport device layer, the service end verification fails, refuses to verify the transportation demand and records the risky consumer user;

[0115] S5. According to the verification response from the server, the key order verifies the target area credit assessment and watermark key compliance of the new order based on the real-time verification relationship, and synchronizes and monitors the risk of the real-time relationship. The operation steps are as follows:

[0116] S5.1. After the server completes the verification, the transport device control center broadcasts the server verification response to the transport device layer key order set;

[0117] S5.2, key orders obtain the target area connection relationship and target area credit assessment of new orders from the real-time verification relationship;

[0118] S5.3. Based on the safety plan of the transport device layer, the key order determines whether the target area credit assessment of the new order meets the safety qualification line of the transport device layer;

[0119] S5.4. When the target area credit assessment of a new order is greater than the safety qualification line, the target area credit assessment verification is passed; when the target area credit assessment of a new order is less than the safety qualification line, the key order performs a high inventory watermark verification and requires the new order to send multiple signatures;

[0120] Specifically, 1. The key order checks the first signature and the second signature sent by the new order in turn;

[0121] Second, the key order queries the first biometric information in the real-time verification relationship and compares it with the biometric information data sent by the new order in the client and server verification to obtain a second verification response for the first biometric information;

[0122] 3. Key orders verify the completeness and uniformity of logistics tracks in real time on the service side;

[0123] S5.5. Key orders are combined with the responses of the target area credit assessment, multi-signature verification, primary biometric information secondary verification and real-time verification of logistics track verification to determine whether the transport device layer verification has passed.

[0124] When all checks are passed, the transport device layer verification is valid; when any check fails, the transport device layer verification fails and the new order is rejected and reported;

[0125] In step S5, the steps of synchronizing and monitoring risks of real-time relationships are as follows:

[0126] After the transport device layer verification is passed, the transport device control center broadcasts the verification response and credit evaluation of the new order to the target area, notifies all orders of the verification response, and synchronizes the real-time verification relationship of the formal registration of the new order;

[0127] From the synchronized real-time verification relationship, the credit assessment update frequency, order placement frequency, log record weight re-update frequency, and verification logistics track update frequency related to the order are analyzed;

[0128] Specifically, the expression of credit assessment update frequency is as follows:

[0129]

[0130] Where ΔT(v) represents the credit assessment update frequency, T cur (v) represents the credit evaluation of the current order v, T pre (v) represents the credit evaluation of order v at the last moment, represents an order in a real-time verification relationship, and represents a device or entity in a transportation device;

[0131] The expression of order frequency is as follows:

[0132]

[0133] Where A(v) represents the order frequency of order v, Δt represents the time interval, and N mes (v) represents the total number of messages sent by order v;

[0134] The expression for the update frequency of the logging priority value is as follows:

[0135]

[0136] Where Δw(a,b) represents the priority value update frequency between the first order a and the most recent order b, and w cur (a,b) represents the priority value between the first order a and the most recent order b at the current moment, w prev (a,b) represents the priority value between the first order a and the most recent order b at the previous moment;

[0137] The expression for verifying the update frequency of logistics trajectory is as follows:

[0138]

[0139] Where ΔM(v) represents the update frequency of the verification logistics trajectory of order v, M cur (v) represents the current verification logistics trajectory set of order v, M prev (v) represents the set of verified logistics trajectories of order v at the last moment;

[0140] According to the analyzed data, configure the risk monitoring pass line of credit assessment update frequency, order placement frequency, log record priority value update frequency, and logistics track verification update frequency;

[0141] Compare the analyzed data with the corresponding risk monitoring qualified line. When the order meets any risk condition, it is determined to be a risky order.

[0142] For the monitored risky orders, the orders and their related log records are temporarily marked from the verification relationship, and the re-verification step is performed; when no risky orders are monitored, the verification step ends, and the real-time verification relationship enters a stable operation state;

[0143] Specifically, the risk monitoring qualification line of the credit assessment update frequency is set as θ T , the risk monitoring qualification line of order frequency is θ A , the risk monitoring qualification line of the update frequency of the log record priority value is θ w , the risk monitoring qualification line for verifying the update frequency of logistics trajectory is θ M ;

[0144] Credit rating drops sharply monitoring: when ΔT(v)≤θ T When , judge the credit assessment risk of order v;

[0145] Order frequency risk monitoring: When A(v)≥θ A When , determine the order frequency risk of order v;

[0146] Logging priority value fluctuation monitoring: When Δw(a,b)≥θ w When , determine the risk of log record (a, b);

[0147] Verify logistics trajectory change risk monitoring: when ΔM(v)≤θ M When , it is determined that the verification logistics track of order v has a risk;

[0148] The risk order resends the verification transportation requirements and rechecks them according to the verification steps at the client, server and transportation device levels;

[0149] If the revalidation fails, the order is permanently marked;

[0150] If the re-verification is valid, the order will be restored to the verification relationship and the priority value of the relevant log records will be synchronized.

[0151] Furthermore, a logistics management device based on commodity orders includes:

[0152] A fuzzy verification unit, when a new order is reported to the transport device, obtains a first attribute feature of the new order based on the historical order analysis of the merchant data source message, generates first biometric information and performs fuzzy verification;

[0153] A relationship synchronization unit, which synchronizes and verifies the relationship in real time according to the first fuzzy verification response, and generates a real-time verification logistics track;

[0154] The device verification unit verifies the logistics track in real time, verifies the watermark key compliance of the identity information of the new order based on the historical order and the credit assessment of the consumer user characteristics, and outputs the client verification response;

[0155] The historical verification unit, based on the verification response from the client, selects the verification order in the verification logistics track to perform secondary identity verification and credit assessment weighted synchronization on the new order, and obtains the verification response from the server and the credit assessment of the target area;

[0156] The risk monitoring unit, based on the verification response from the server, checks the target area credit assessment and watermark key compliance of new orders based on the real-time verification relationship for key orders, and synchronizes and monitors the real-time relationship for risks.

[0157] Example

[0158] The present invention provides experimental simulation data of a logistics management method based on commodity orders: a small-scale Internet of Things transportation device experimental environment is constructed; the experimental transportation device contains 1 key order, 10 historical orders and 10 newly reported orders; the key order is responsible for the management and synchronization of real-time verification relationships, the historical order is responsible for the first biometric information collection and client verification, and the newly reported order simulates the terminal device in the actual environment; the experiment adopts a real merchant data source message transmission environment, in which the logistics route status information and the merchant inventory are used as the feature data of the first biometric information; the watermark key adopts a scheme based on the lattice password, and the consumer user feature credit evaluation is calculated based on the device's historical order consumer user data;

[0159] The experimental process includes the following steps:

[0160] First, the bioinformatics analysis was performed and the fuzzy check was performed:

[0161] Each newly reported order broadcasts the merchant data source message to the surrounding historical orders. The historical orders detect the acquired merchants, analyze the CSI and RSSI data, and combine them to generate the first biometric information. Subsequently, the historical orders match the first biometric information with the stored compliant biometric information database, setting the matching pass line to 0.9. The matching of valid orders is based on fuzzy verification.

[0162] Real-time verification relationship synchronization and logistics track generation:

[0163] After the fuzzy verification is effective, the key order registers the new order in the real-time relation order set, and generates a log record priority value based on the verification response of the historical order, which is calculated in turn based on the feedback of the historical order; the key order uses the shortest logistics trajectory algorithm to generate the optimal verification logistics trajectory from each new order to the key order;

[0164] Client verification:

[0165] New orders send verification transport requirements based on historical orders in the verification logistics track. Historical orders check their watermark keys and monitor their consumer user characteristics. Consumer user deviation assessment is based on comparing the current consumer user of the new order with the historical security consumer user model. If the credit assessment is higher than the set qualified line (0.75), the client verification passes.

[0166] Server verification and credit assessment synchronization:

[0167] The key order selects the verification order set based on the client verification response, and the verification order performs a second verification on the identity information of the new order, and synchronizes the response with its own credit assessment weight to calculate the credit assessment of the target area;

[0168] Transport device level verification and risk monitoring:

[0169] Key orders evaluate the target region credit assessment for new orders. If the assessment is lower than 0.7, a high inventory check is performed, including multi-signature verification and secondary verification of the first biometric information. After the verification is completed, key orders synchronize real-time relationships and monitor risky orders in real time.

[0170] Assumptions:

[0171] New order P new :5;

[0172] Compliance Biobank P i :i=1,2,3;

[0173] Matching pass line: 0.9;

[0174] Each biometric key point: 4 (i.e. m = 4);

[0175] Based on the above data, a risk monitoring response is obtained;

[0176] Credit assessment update frequency Risk monitoring pass line: θ T =0.1, order frequency update frequency risk monitoring qualified line: θ A =0.2, log record priority value update frequency risk monitoring pass line: θ w =0.15, verify the logistics track update frequency risk monitoring qualified line: θ M =0.1;

[0177] Compare the calculated data with the risk monitoring qualified line to obtain the risk response;

[0178] P new _1 and P new _5 The risk order is determined to be a risky order because the update frequency of its verification logistics track does not meet the qualified line. The risky order is removed. new _1 and P new _5. Synchronize logs to record priority values ​​and verify logistics track sets to ensure the safety and stability of transportation devices.

Claims

1. A logistics management method based on commodity orders, characterized in that: The operation steps are as follows: Step (1): when a new order is reported to the transport device, the historical order is analyzed based on the merchant data source message to obtain the first attribute feature of the new order, generate the first biometric information and perform fuzzy verification; Step (2): Based on the fuzzy verification response of the first biometric information, the verification relationship is synchronized in real time to generate a real-time verification logistics track; Step (3): Based on the real-time verification of the logistics track, the new order is verified based on the watermark key compliance of the identity information and the credit assessment of the consumer user characteristics based on the historical orders, and the client verification response is output; Step (4): According to the client verification response, select the verification order in the verification logistics track to perform secondary identity verification and credit assessment weighted synchronization on the new order, and obtain the server verification response and target area credit assessment; Step (5): Based on the verification response from the server, the key order verifies the target area credit assessment and watermark key compliance of the new order based on the real-time verification relationship, and synchronizes and monitors the risk of the real-time relationship.

2. A method for logistics management based on commodity orders according to claim 1, characterized in that: The operation steps of step (1) are as follows: Step (1.1): The new order reports the transportation demand information to the historical order broadcast based on the broadcast; Step (1.2): Historical orders are based on detecting the merchant data source message sent by the new order, analyzing the logistics route status information and detecting the merchant inventory obtained by the merchant data source message of the new order; Step (1.3): Combine the analyzed logistics route status information and the acquired merchant inventory to generate the first biological information of the new order; Step (1.4): The historical order matches the generated first biometric information of the new order with the first biometric information database of the compliant order stored locally, and the expression is as follows: In the formula, S(P new ,P i ) represents the matching score between the new order biological information and the i-th biological information in the biological information database, P new Indicates new order biological information, P i represents the i-th biological information in the biological information database, i represents the biological information identifier in the biological information database, k represents the key point identifier, m represents the number of key points, P new [k] represents the kth key point of the new order biological information, P i [k] represents the kth key point of the i-th biological information in the biological information database; Step (1.5): Set a matching pass line, compare the matching score with the matching pass line, and determine whether the biometric information match is valid.

3. A method for logistics management based on commodity orders according to claim 1, characterized in that: The operation steps of step (2) are as follows: Step (2.1): After the transport device control center obtains the new order sent by the historical order, it registers the new order in the order set in the real-time relationship; Step (2.2): According to the historical order set of the new order, add log records of the new order and the historical orders, and calculate the priority value of each log record; Its expression is as follows: w a,b =α·C a,b +β·(1-T a,b ) In the formula, w a,b Indicates the priority value between the first order a and the most recent order b, where a represents the first order, b represents the most recent order, and C a,b represents the verification resource requirement between the first order a and the most recent order b, α represents the priority value coefficient of the verification resource requirement, β represents the priority value coefficient of the credit assessment, T a,b represents the credit evaluation between the first order a and the most recent order b; Step (2.3): Based on the real-time relationship and the calculated log record priority value, the shortest logistics trajectory algorithm is used to generate the verification logistics trajectory from the new order to the key order in the target area, which is expressed as follows: M new =arg min∑( a，b)∈M In a，b , Where M new It represents the initial verification logistics track of the new order, and M represents a logistics track in the real-time verification relationship.

4. The method for logistics management based on commodity orders according to claim 1, characterized in that: The operation steps of step (3) are as follows: Step (3.1): The new order sends a verification transport demand message to its historical orders based on the verification logistics track information provided in the real-time verification relationship; Step (3.2): After the historical order obtains the verification transport demand message of the new order, it uses the public key of the transport device control center to verify the identity information and watermark key of the new order; Step (3.3): Based on the watermark key verification response, the consumer of the new order is monitored in real time; Step (3.4): Historical orders compare these consumer users with the historical safe consumer user model and calculate the consumer user deviation assessment; Step (3.5): The credit evaluation of new orders is synchronized based on the identity verification response and consumer user deviation evaluation of historical orders; Step (3.6): Set the credit qualification line, compare the credit assessment of the synchronized new order with the credit qualification line, and output the client verification response.

5. The method for logistics management based on commodity orders according to claim 1, characterized in that: The operation steps of step (4) are as follows: Step (4.1): The transport device control center obtains the connection relationship between the new order and the historical order and the log record priority value according to the real-time verification relationship; Step (4.2): According to the shortest logistics trajectory algorithm of real-time relationship, select the historical order set with the lowest verification resource requirement as the verification order set; Step (4.3): The new order sends a verification transport requirement message to each verified order based on the information in the verified order set; Step (4.4): Each verification order performs a second verification on the compliance of the identity information and watermark key of the new order; Step (4.5): Based on the secondary verification response and the client's credit assessment, combined with its own credit assessment, the credit assessment of the new order is weighted and synchronized to obtain the credit assessment of the target area; Step (4.6): Set the credit qualification line of the transport device layer, compare the credit assessment of the target area with the credit qualification line of the transport device layer, and obtain the server verification response.

6. A method for logistics management based on commodity orders according to claim 1, characterized in that: In step (5), according to the verification response of the server, the key order checks the target area credit assessment and watermark key compliance of the new order based on the real-time verification relationship as follows: Step (5.1): The transport device control center broadcasts the server verification response to the transport device layer key order set; Step (5.2): The key order obtains the target area connection relationship and target area credit assessment of the new order from the real-time verification relationship; Step (5.3): Based on the safety plan of the transport device layer, the key order determines whether the target area credit assessment of the new order meets the safety qualification line of the transport device layer; Step (5.4): When the target area credit assessment of the new order is less than the safety qualification line, the key order performs a watermark check of the high inventory volume and requires the new order to send multiple signatures; Step (5.5): The key order combines the response of the target area credit assessment, multi-signature verification, first biometric information secondary verification and real-time verification logistics track verification to determine whether the transportation device layer verification has passed.

7. The method for logistics management based on commodity orders according to claim 1, characterized in that: The specific subsequent steps of step (5.4): (5.5.1): Critical orders check the first signature and second signature sent for new orders in turn; (5.5.2): The key order queries the first biometric information in the real-time verification relationship and compares it with the biometric information data sent by the new order in the client and server verification to obtain the second verification response of the first biometric information; (5.5.3): Critical orders verify the completeness and uniformity of the logistics track in real time on the server side.

8. The method for logistics management based on commodity orders according to claim 1, characterized in that: In step (5), the steps for synchronizing and risk monitoring real-time relationships are as follows: After the transport device layer verification is passed, the transport device control center broadcasts the verification response and credit evaluation of the new order to the target area, notifies all orders of the verification response, and synchronizes the real-time verification relationship of the formal registration of the new order; From the synchronized real-time verification relationship, the credit assessment update frequency, order placement frequency, log record weight re-update frequency, and verification logistics track update frequency related to the order are analyzed; According to the analyzed data, configure the risk monitoring pass line of credit assessment update frequency, order placement frequency, log record priority value update frequency, and logistics track verification update frequency; Compare the analyzed data with the corresponding risk monitoring qualified line. When the order meets any risk condition, it is determined to be a risky order. For the monitored risky orders, temporarily mark the orders and their related log records from the verification relationship, and perform the re-verification step; When no risk orders are monitored, the verification step ends and the real-time verification relationship enters a stable operating state.

9. A logistics management device based on commodity orders, comprising a logistics management method based on commodity orders as claimed in any one of claims 1 to 8, characterized in that: The device comprises a fuzzy verification unit, a relationship synchronization unit, an equipment verification unit, a history verification unit and a risk monitoring unit which are interconnected.

10. A commodity order-based logistics management device according to claim 9, characterized in that: The fuzzy verification unit: when a new order is reported to the transport device, the historical order is analyzed based on the merchant data source message to obtain the first attribute feature of the new order, generate the first biometric information and perform fuzzy verification; The relationship synchronization unit: synchronizes and verifies the relationship in real time according to the first fuzzy verification response, and generates a real-time verification logistics track; The device verification unit: based on real-time verification of logistics tracks, new orders are based on historical orders to check the watermark key compliance of identity information and consumer user feature credit assessment, and output client verification response; The history verification unit: according to the client verification response, selects the verification order in the verification logistics track to perform secondary identity verification and credit assessment weighted synchronization on the new order, and obtains the server verification response and the target area credit assessment; The risk monitoring unit: according to the verification response of the service end, the key order checks the target area credit assessment and watermark key compliance of the new order based on the real-time verification relationship, and synchronizes and monitors the risk of the real-time relationship.

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