A multi-party collaborative freight method based on smart logistics

Abstract

The present invention discloses a multi-party collaborative freight method based on smart logistics, which relates to the field of smart logistics and includes the following steps: building a logistics information platform and generating corresponding order data based on the corresponding logistics information platform; performing transportation analysis based on the obtained order data to obtain corresponding cargo transportation configuration; performing path analysis based on the cargo transportation configuration to obtain corresponding optimal freight path; generating and executing corresponding cargo transportation plans based on the optimal freight path, and monitoring the execution process of the corresponding cargo transportation plans at the same time; the present invention realizes real-time interaction and information sharing among buyers, sellers and carriers.

Description

Technical Field

[0001] The present invention relates to the field of smart logistics, and in particular to a multi-party collaborative freight method based on smart logistics. Background Art

[0002] With the rapid development of network information technology and the widespread adoption of the internet, a growing number of shippers in the traditional logistics industry are transporting their goods through online logistics platforms. However, since shippers are not always professional logistics practitioners (hereinafter referred to as "professional users"), and since transportation distances, restricted areas, and cargo loading are specialized knowledge within various logistics industries, the learning curve for shippers is extremely high. Failure to accurately and reasonably meet shippers' transportation needs will inevitably impact the freight industry, reducing efficiency and resulting in wasted resources.

[0003] Compared with existing technologies, traditional linked freight processes have difficulties in information sharing and the information asymmetry between the parties easily leads to incomplete and inaccurate information, which affects the efficiency and accuracy of freight. It also requires repeated telephone or face-to-face communication between multiple parties, which is inefficient and the information is not transmitted in a timely manner. These are the problems we need to solve. To this end, we provide a multi-party collaborative linked freight method based on smart logistics. Summary of the Invention

[0004] The purpose of the present invention is to provide a multi-party collaborative freight method based on smart logistics.

[0005] The purpose of the present invention can be achieved through the following technical solution: a multi-party collaborative freight method based on smart logistics, comprising the following steps:

[0006] Step 1: Build a logistics information platform and generate corresponding order data based on the corresponding logistics information platform;

[0007] Step 2: Conduct transportation analysis based on the obtained order data and obtain the corresponding cargo transportation configuration;

[0008] Step 3: Perform path analysis based on the cargo transportation configuration to obtain the corresponding optimal freight route;

[0009] Step 4: Generate and execute a corresponding cargo transportation plan based on the optimal freight route, and monitor the execution process of the corresponding cargo transportation plan.

[0010] Furthermore, a logistics information platform is constructed, in which a plurality of information terminals are provided. The information terminals are used for different users in the corresponding logistics process to upload corresponding user information, and the users include buyer users, seller users and carrier users; the information terminals include buying and selling information terminals and carrier information terminals.

[0011] Furthermore, the process of generating corresponding order data based on the corresponding logistics information platform includes:

[0012] The seller user uploads the sold goods information to the logistics information platform through the corresponding trading information terminal, and the logistics information platform displays it to the buyer user;

[0013] Buyer users log in to the logistics information platform through the buying and selling information terminal to query and select the information of the goods being sold;

[0014] After the buyer selects the information goods, the seller is contacted based on the trading information terminal to inquire about the goods. After the consultation is completed, the buyer and seller upload the transaction content to the blockchain in the logistics information platform based on the consultation results. The blockchain verifies the transaction content of the buyer and seller based on the smart contract. If the verification fails, a transaction failure notification is fed back to the buyer and seller, and the buyer and seller continue to negotiate. If the verification succeeds, the corresponding order data is left based on the transaction content of the buyer and seller and stored in the corresponding blockchain.

[0015] Furthermore, the process of performing transportation analysis based on the obtained order data and obtaining the corresponding cargo transportation configuration includes:

[0016] Based on user needs, the carrier information in the corresponding logistics information platform is traversed to obtain the corresponding freight users; the carrier information corresponding to the corresponding freight users is obtained, and the corresponding freight transportation needs are generated in combination with the obtained order data;

[0017] Build a cargo constraint model based on big data technology, input the corresponding cargo transportation demand into the cargo constraint model, and obtain the corresponding cargo restriction conditions;

[0018] A corresponding cargo transportation configuration is generated based on the cargo restriction conditions and the carrier information of the freight user.

[0019] Furthermore, the process of performing route analysis based on cargo transportation configuration includes:

[0020] Obtain the freight warehouse information of both the buyer and seller, and mark them as shipping nodes and receiving nodes respectively; obtain all possible logistics paths from the corresponding shipping nodes to the receiving nodes; and build the corresponding freight map based on them;

[0021] Preview the obtained freight map, extract the path nodes and path boundary nodes in the corresponding freight map, and mark the nodes in the corresponding freight map.

[0022] After marking is completed, the path nodes in the corresponding freight map are removed based on the freight transportation configuration to obtain the corresponding freight road network.

[0023] Furthermore, the process of obtaining the corresponding optimal freight route includes:

[0024] Read user needs, obtain the buyer's preferences for the transportation time and transportation cost of the freight logistics process based on the user needs, and set the corresponding cost preference weight and time cost weight accordingly;

[0025] Obtain vehicle information of the corresponding freight vehicle, construct a corresponding vehicle particle based on the obtained vehicle information, and deploy it to the delivery node; then, the vehicle particle traverses the corresponding freight road network with the freight transportation configuration to perform node matching and obtain the corresponding optimal node;

[0026] Count all the optimal nodes, obtain the corresponding freight path, and verify it based on user needs. If the verification fails, re-plan the path. If the verification passes, the corresponding freight path will be output as the optimal freight path.

[0027] Furthermore, the process of constructing and executing a cargo transportation plan based on the obtained optimal cargo route includes:

[0028] Divide the obtained optimal freight route to obtain corresponding transport sections;

[0029] Mark the starting node and the final node in the corresponding transport section as transport node a and transport node b respectively;

[0030] Formulate a corresponding cargo transportation plan for the corresponding transportation section based on the cargo transportation configuration, wherein the cargo transportation plan includes scheduling tasks, loading and unloading tasks, transportation tasks, and time limits for each task;

[0031] The obtained cargo transportation plan is uploaded to the blockchain for storage and the corresponding user is reminded, and then the corresponding user performs the corresponding task according to the reminder content.

[0032] Furthermore, the process of monitoring the execution of the corresponding cargo transportation plan includes:

[0033] A monitoring node is set up and deployed on the body surface of the freight vehicle to obtain road surface data during actual driving, and analyze the corresponding road surface data to determine whether there are any abnormal conditions in the corresponding road surface conditions. If there are any abnormal conditions, the real-time position of the corresponding freight vehicle is used as the shipping node, and the path planning is re-performed to update the current optimal freight path; the freight process is completed; if there are no abnormalities, no other operations are performed.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. By building a logistics information platform, centralized management and real-time updates of logistics information are achieved. This enables all parties to obtain the required information more quickly, reducing the time for information communication and transmission. It also makes the transportation process of goods more transparent and controllable, thereby improving overall logistics efficiency and achieving effective collaboration among different participants.

[0036] 2. By using big data technology and smart contracts to verify transaction content, the security and effectiveness of transactions are ensured. At the same time, the use of blockchain to store order data improves the transparency and traceability of data processing and increases the speed with which all parties can obtain freight-related information.

[0037] 3. Carry out transportation analysis based on user needs, and intelligently match the most suitable transportation method and carrier according to factors such as the type, quantity, and transportation time of the goods; this helps to optimize the allocation of logistics resources, reduce unnecessary transportation costs and waste, and improve the utilization efficiency of logistics resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0039] like Figure 1 As shown, a multi-party collaborative freight method based on smart logistics includes the following steps:

[0040] Step 1: Build a logistics information platform and generate corresponding order data based on the corresponding logistics information platform;

[0041] Step 2: Conduct transportation analysis based on the obtained order data and obtain the corresponding cargo transportation configuration;

[0042] Step 3: Perform path analysis based on the cargo transportation configuration to obtain the corresponding optimal freight route;

[0043] Step 4: Generate and execute a corresponding freight transportation plan based on the optimal freight route, and monitor the execution process of the corresponding freight transportation plan;

[0044] It should be further explained that, in the specific implementation process, the process of building a logistics information platform and generating corresponding order data based on the corresponding logistics information platform includes:

[0045] Constructing a logistics information platform, wherein the logistics information platform is provided with a plurality of information terminals, wherein the information terminals are used for different users in the corresponding logistics process to upload corresponding user information, wherein the users include buyer users, seller users, and carrier users; the information terminals include a buying and selling information terminal and a carrier information terminal;

[0046] The carrier user uploads the corresponding carrier information to the logistics information platform based on the carrier information terminal; the carrier information includes transportation mode, vehicle information, road condition information, etc.

[0047] The transportation mode includes at least one of automobile transportation, railway transportation, sea transportation and air transportation;

[0048] The seller user uploads the sold goods information to the logistics information platform through the corresponding trading information terminal, and the logistics information platform displays it to the buyer user; the goods information includes the type, quantity, weight, volume and other goods parameters;

[0049] Buyer users log in to the logistics information platform through the buying and selling information terminal to query and select the information of the goods being sold;

[0050] After the buyer selects the goods, the buyer contacts the seller through the trading information terminal and inquires about the goods. After the consultation is completed, the buyer can choose whether to place an order. If not, the process ends. If an order is placed, the buyer and seller upload the transaction details to the blockchain within the logistics information platform based on the consultation results. The blockchain verifies the transaction details of the buyer and seller based on the smart contract. If the verification fails, a transaction failure notification is fed back to the buyer and seller, and the buyer and seller continue negotiations. If the verification succeeds, the corresponding order data is left based on the transaction details of the buyer and seller and stored in the corresponding blockchain. The order data includes user requirements, goods transportation information, and freight warehouse information.

[0051] Among them, the user demand refers to the buyer's user's requirements for transportation time, transportation cost, transportation method and other transportation parameters; the cargo transportation information refers to the cargo information involved in the transaction between the corresponding buyer and seller, and the freight warehouse information includes the remaining warehouse capacity of the corresponding freight warehouse and the cargo information of the stored goods.

[0052] It should be further explained that, in the specific implementation process, transportation analysis is performed based on the obtained order data to obtain the corresponding cargo transportation configuration;

[0053] Based on user needs, the carrier information in the corresponding logistics information platform is traversed, a carrier user that can meet the corresponding user needs is selected, and a corresponding carrier list is obtained, wherein the carrier list includes the carrier information and historical freight evaluation of the corresponding carrier user; the buyer selects a preferred carrier user based on the carrier list and marks the selected preferred carrier user as a freight user;

[0054] Then, the carrier information corresponding to the corresponding cargo user is obtained, and the corresponding cargo transportation requirements are generated in combination with the obtained order data. The cargo transportation requirements include but are not limited to cargo transportation information, cargo transportation method, cargo transportation time, cargo transportation cost, and storage capacity requirements;

[0055] Build a cargo constraint model based on big data technology, input the corresponding cargo transportation demand into the cargo constraint model, and obtain the corresponding cargo restriction conditions;

[0056] In one embodiment of the present invention, if the buyer user specifies the mode of transportation and the time of transportation in the user requirements, the corresponding mode of transportation and the time of transportation can be used as the cargo restriction conditions;

[0057] Furthermore, a corresponding cargo transportation configuration is generated based on the cargo restriction conditions and the freight user's carrier information; the cargo transportation configuration includes vehicle information corresponding to the freight vehicle, the cargo transportation method, and the number of freight vehicles participating in the cargo transportation under the corresponding cargo transportation method, etc.; the freight vehicles in the present invention include freight cars, freight trains, freight ships and cargo planes.

[0058] It should be further explained that, in the specific implementation process, the process of performing path analysis based on the cargo transportation configuration and obtaining the corresponding optimal freight path includes:

[0059] Obtain the freight warehouse information of the buyer and seller, and mark them as shipping nodes and receiving nodes respectively;

[0060] Perform initial path planning based on the obtained shipping nodes and receiving nodes, obtain all available logistics paths from the corresponding shipping nodes to the receiving nodes, and build a corresponding freight map based on them;

[0061] Preview the obtained freight map, extract path nodes and path boundary nodes in the corresponding freight map, and mark the nodes in the corresponding freight map, wherein the path nodes include but are not limited to road intersections and transfer stations;

[0062] In one embodiment of the present invention, the path nodes include road turning intersections and freight transfer stations for changing transportation modes, that is, the path nodes include road nodes, waterway nodes, railway nodes, and aviation nodes;

[0063] After marking is completed, the path nodes in the corresponding freight map are removed based on the freight transportation configuration to obtain the corresponding freight road network; for example, if the freight transportation method does not include air transportation, the air nodes in the corresponding freight map are removed;

[0064] Read user needs, and obtain the buyer's preferences for the transportation time and transportation cost of the freight logistics process based on the user needs. Then set the corresponding cost preference weight and time cost weight based on them, and record them as λ1 and λ2 respectively. For example, if the buyer prefers transportation cost, then λ1>λ2; if the buyer prefers transportation time, then λ1<λ2; if the user has no preference, then λ1=λ2;

[0065] Obtain the vehicle information of the corresponding freight vehicle, construct the corresponding vehicle particle based on the obtained vehicle information, and deploy it to the shipping node;

[0066] Then, the vehicle particles traverse the corresponding freight road network with the freight transportation configuration to perform node matching and obtain the corresponding optimal freight route;

[0067] It should be further explained that, in the specific implementation process, the vehicle particles traverse the corresponding freight road network with the freight transportation configuration to match nodes, and the process of obtaining the corresponding optimal freight path includes:

[0068] Obtaining a path node connected to the corresponding shipping node according to the freight road network, marking the node as a first initial node, and numbering the obtained first initial node as j, where j=1, 2, ..., m, m>0 and m is an integer;

[0069] Construct the objective function, obtain the path coefficient between the corresponding shipping node and the first initial node j, and record it as SYj;

[0070] in, ;

[0071] Where 0 represents the shipping node; u1 and u2 represent the dispatch cost and transportation cost of transport mode I from 0 to j, respectively; L0j represents the distance between the shipping node and the first initial node j; VL represents the free flow speed of the corresponding transport mode L; LM0j represents the road condition score between the shipping node and the first initial node j; β1 and β2 are road resistance coefficients, both determined by the actual road condition data of the current section; k represents the number of freight vehicles involved in the freight transportation;

[0072] Based on the cargo transportation configuration, a corresponding weight selection coefficient is set for the corresponding transportation mode. All the first initial nodes are sorted by combining the obtained weight selection coefficient and path coefficient, and the path node with the highest ranking is selected as the optimal node and marked as the first node.

[0073] Then, the corresponding vehicle particle is updated to the first node, and the same method is used to perform node matching to obtain the corresponding second node, and so on until the corresponding tail node is obtained. The tail node refers to the optimal node connected to the corresponding harvested node;

[0074] Count all the optimal nodes and obtain the corresponding freight path, where the freight path is {shipping node, first node, ..., tail node, receiving node};

[0075] Based on the obtained path coefficient, the total transportation cost and transportation time corresponding to the corresponding freight path are obtained and compared with the user's needs. If it meets the user's needs, the corresponding freight path will be used as the optimal freight path and uploaded to the logistics information platform; if it does not meet the needs, the same method will be used to re-plan the path.

[0076] It should be further explained that, in the specific implementation process, since other modes of transportation except automobile transportation are equipped with fixed transportation time windows, the transportation time window needs to be added to the cargo transportation configuration during the transportation process of the corresponding optimal freight route. The transportation time window includes the latest departure time and the latest arrival time under the corresponding transportation mode.

[0077] It should be further explained that, in the specific implementation process, the process of generating and executing a corresponding freight transportation plan based on the optimal freight route and monitoring the execution of the corresponding freight transportation plan includes:

[0078] Dividing the obtained optimal freight route to obtain corresponding transport sections, wherein the transport sections include at least one of a road transport section, a railway transport section, a sea transport section, and an air transport section;

[0079] The starting node and the final node in the corresponding transport section are marked as transport node a and transport node b respectively, wherein both transport node a and transport node b belong to the optimal freight path;

[0080] Then, a corresponding cargo transportation plan is formulated for the corresponding transportation section based on the cargo transportation configuration, wherein the cargo transportation plan includes scheduling tasks, loading and unloading tasks, transportation tasks, and time limits for each task;

[0081] The obtained cargo transportation plan is uploaded to the blockchain for storage and the corresponding user is reminded, and then the corresponding user performs the corresponding task according to the reminder content;

[0082] In one embodiment of the present invention, when a freight user receives a dispatch task, the carrier information terminal obtains the corresponding freight transportation information and storage capacity requirements, and issues a vehicle dispatch notification based on the information. After receiving the vehicle dispatch notification, the corresponding freight vehicle proceeds to the transport node a within the corresponding time limit. At the same time, the vehicle information of the corresponding freight vehicle is uploaded to the corresponding blockchain.

[0083] When transport node a receives a loading or unloading task, it constructs a corresponding time window based on the time limit requirements and arranges several staff members to load and unload the cargo within the corresponding time window based on the cargo transportation information. It should be further noted that the above process also applies to transport node b.

[0084] After the freight vehicle goes to transport node a according to the scheduling task and completes the loading and unloading tasks, it performs the transportation task within the time limit requirements, that is, transports the goods from transport node a to transport node b within the specified time.

[0085] It should be further explained that, during the specific implementation process, the process of monitoring the execution of the corresponding cargo transportation plan includes:

[0086] Taking the transportation task as an example, the present invention sets up monitoring nodes, which are deployed on the surface of the freight vehicle body to obtain road surface data during the actual driving process, analyze the corresponding road surface data, and determine whether there are any abnormalities in the corresponding road conditions. If there are any abnormalities, the real-time position of the corresponding freight vehicle is used as the delivery node, and the path planning is re-performed to update the current optimal freight path; the freight process is completed; if there are no abnormalities, no other operations are performed;

[0087] It should be further explained that, in the specific implementation process, when there are abnormalities in the road conditions, the previous node closest to the current position of the freight vehicle is marked as a dead end node, or it is updated in real time based on the road condition data received by the logistics information platform. If a certain section of road cannot be passed due to traffic control, the path node corresponding to the corresponding section of road will be marked as a dead end node, and the logistics path associated with the corresponding dead end node will be deleted, and it will be determined whether the dead end node is in the current optimal freight path. If it is, the path planning will be re-performed with the current position of the corresponding transport vehicle as the starting point. If not, no other operations will be performed until the updated road condition data determines that it can participate in the path planning and the corresponding mark is cancelled.

[0088] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A multi-party collaborative freight method based on smart logistics, characterized by: The following steps are involved: Step 1: Build a logistics information platform and generate corresponding order data based on the corresponding logistics information platform; Step 2: Conduct transportation analysis based on the obtained order data and obtain the corresponding cargo transportation configuration; Step 3: Perform path analysis based on the cargo transportation configuration to obtain the corresponding optimal freight route; Step 4: Generate and execute a corresponding freight transportation plan based on the optimal freight route, and monitor the execution process of the corresponding freight transportation plan; Constructing a logistics information platform, wherein the logistics information platform is provided with multiple information terminals, wherein the information terminals are used for different users in the corresponding logistics process to upload corresponding user information, wherein the users include buyer users, seller users and carrier users; The information terminal includes a buying and selling information terminal and a carrier information terminal; The process of generating corresponding order data based on the corresponding logistics information platform includes: The seller user uploads the sold goods information to the logistics information platform through the corresponding trading information terminal, and the logistics information platform displays it to the buyer user; Buyer users log in to the logistics information platform through the buying and selling information terminal to query and select the information of the goods being sold; After the buyer selects the information goods, the buyer contacts the seller through the trading information terminal and inquires about the goods. After the consultation is completed, the buyer and seller upload the transaction details to the blockchain in the logistics information platform based on the consultation results. The blockchain verifies the transaction details of the buyer and seller based on the smart contract. If the verification fails, a transaction failure notification is fed back to the buyer and seller, and the buyer and seller continue to negotiate. If the verification succeeds, the corresponding order data is left based on the transaction details of the buyer and seller and stored in the corresponding blockchain. The process of performing transportation analysis based on the obtained order data and obtaining the corresponding cargo transportation configuration includes: Based on user needs, the carrier information in the corresponding logistics information platform is traversed to obtain the corresponding freight users; the carrier information corresponding to the corresponding freight users is obtained, and the corresponding freight transportation needs are generated in combination with the obtained order data; Build a cargo constraint model based on big data technology, input the corresponding cargo transportation demand into the cargo constraint model, and obtain the corresponding cargo restriction conditions; Generate corresponding cargo transportation configuration based on the cargo restriction conditions and the carrier information of the freight user; The process of performing path analysis based on cargo transportation configuration and obtaining the corresponding optimal freight path includes: Obtain the freight warehouse information of both the buyer and seller, and mark them as shipping nodes and receiving nodes respectively; obtain all possible logistics paths from the corresponding shipping nodes to the receiving nodes; and build the corresponding freight map based on them; Preview the obtained freight map, extract the path nodes and path boundary nodes in the corresponding freight map, and mark the nodes in the corresponding freight map. After marking is completed, the path nodes in the corresponding freight map are removed based on the freight transportation configuration to obtain the corresponding freight road network; The process of obtaining the corresponding optimal freight route includes: Read user needs, obtain the buyer's preferences for the transportation time and transportation cost of the freight logistics process based on the user needs, and set the corresponding cost preference weight and time cost weight accordingly; Obtain vehicle information of the corresponding freight vehicle, construct a corresponding vehicle particle based on the obtained vehicle information, and deploy it to the delivery node; then, the vehicle particle traverses the corresponding freight road network with the freight transportation configuration to perform node matching and obtain the corresponding optimal node; Count all the optimal nodes, obtain the corresponding freight path, and verify it based on user needs. If the verification fails, re-plan the path. If the verification passes, the corresponding freight path will be output as the optimal freight path.

2. The multi-party collaborative freight method based on smart logistics according to claim 1 is characterized in that: The process of constructing and executing a freight transportation plan based on the obtained optimal freight route includes: Divide the obtained optimal freight route to obtain corresponding transport sections; Mark the starting node and the final node in the corresponding transport section as transport node a and transport node b respectively; Formulate a corresponding cargo transportation plan for the corresponding transportation section based on the cargo transportation configuration, wherein the cargo transportation plan includes scheduling tasks, loading and unloading tasks, transportation tasks, and time limits for each task; The obtained cargo transportation plan is uploaded to the blockchain for storage and the corresponding user is reminded, and then the corresponding user performs the corresponding task according to the reminder content.

3. The multi-party collaborative freight method based on smart logistics according to claim 2 is characterized in that: The process of monitoring the execution of the corresponding cargo transportation plan includes: A monitoring node is set up and deployed on the body surface of the freight vehicle to obtain road surface data during actual driving, and analyze the corresponding road surface data to determine whether there are any abnormal conditions in the corresponding road surface conditions. If there are any abnormal conditions, the real-time position of the corresponding freight vehicle is used as the shipping node, and the path planning is re-performed, and the current optimal freight path is updated until the freight process is completed; if there are no abnormal conditions, no other operations are performed.

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