Logistics allocation route planning method and device, equipment and storage medium

Abstract

The invention relates to the technical field of information processing, in particular to a logistics distribution route planning method, device and equipment and a storage medium, and aims to automatically select straightening distribution or collection distribution according to the weight of goods by acquiring the weight information of logistics goods sent by a network terminal and selecting a distribution scheme according to the weight information. According to the invention, unnecessary transfer links are reduced, the time of cargo transportation is shortened, routing planning is carried out on logistics cargos which are distributed in a collection manner according to an allocation scheme to obtain a first route, actual transportation condition information of a transportation vehicle is obtained in real time, feedback adjustment is carried out on the first route according to the actual transportation condition information and a stowage strategy to obtain a second route, and the logistics cargos are distributed in the distribution scheme. The system can track and manage the vehicles in the transportation process, improves the intelligent degree, reasonably plans the transportation route, improves the overall efficiency of logistics distribution, reduces the vehicle no-load rate, saves the transportation cost, and improves the customer satisfaction.

Description

Technical Field

[0001] The present invention relates to the field of information processing technology, and in particular to a logistics distribution route planning method, device, equipment and storage medium. Background Art

[0002] In the modern logistics industry, with the rapid development of e-commerce, the demand for logistics distribution has increased dramatically. How to efficiently and reasonably sort, distribute and transport goods has become one of the key issues in logistics management. Straightening distribution in logistics refers to the direct distribution of goods along the preset route to reduce the transit links, while collective distribution refers to the concentration of goods at a designated location for merging, and then unified distribution after reaching a certain quantity. The traditional logistics distribution method usually relies on manual experience for decision-making. This method is not only inefficient, but also prone to errors, resulting in waste of resources and reduced service quality. In the distribution process, it cannot automatically select straightening distribution or collective distribution according to the weight of the goods, which adds unnecessary transit links, prolongs the time of goods transportation, and reduces customer satisfaction. In addition, it cannot track and manage vehicles during transportation, reducing the degree of intelligence, and the transportation route planning is unreasonable, which reduces the overall efficiency of logistics distribution, increases the empty rate of vehicles, and causes a waste of transportation costs. Summary of the invention

[0003] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide a logistics distribution route planning method, device, equipment and storage medium that can automatically select straightening distribution or collective distribution according to the weight of the goods, reduce unnecessary transit links, shorten the time of goods transportation, and track and manage vehicles during transportation, improve the degree of intelligence, reasonably plan transportation routes, improve the overall efficiency of logistics distribution, reduce vehicle empty load rate, save transportation costs, and improve customer satisfaction.

[0004] The first aspect of the present invention provides a logistics distribution route planning method, comprising: obtaining weight information of logistics goods sent by an outlet terminal, selecting a distribution plan according to the weight information, the distribution plan being straight distribution or collective distribution; performing route planning for the logistics goods whose distribution plan is collective distribution to obtain a first route, and marking the transport vehicles in the first route; obtaining actual transportation status information of the transport vehicles in real time, and querying the loading strategy of the transport vehicles; performing feedback adjustment on the first route according to the actual transportation status information and the loading strategy to obtain a second route, and sending the second route to the outlet terminal; when the logistics goods complete transportation according to the second route, recording the transportation details of the logistics goods, and storing the transportation details in a logistics database.

[0005] Optionally, in a first implementation method of the first aspect of the present invention, the weight information of the logistics goods sent by the outlet terminal is obtained, and a distribution plan is selected according to the weight information, and the distribution plan is straight distribution or collective distribution, including: obtaining the weight information of the logistics goods sent by the outlet terminal; identifying the weight value in the weight information, and comparing the weight value with a preset weight threshold to obtain a comparison result; determining the distribution plan according to the comparison result, and the distribution plan is straight distribution or collective distribution.

[0006] Optionally, in a second implementation of the first aspect of the present invention, the routing planning is performed on the logistics goods whose distribution scheme is collective distribution to obtain a first route, and the transport vehicles in the first route are marked, including: screening out the logistics goods whose distribution scheme is collective distribution to obtain collective goods; obtaining the shipping information of the collective goods, wherein the shipping information includes a departure place, a destination and a mode of transport; calling a preset routing planning model, and inputting the departure place, the destination and the mode of transport into the routing planning model for routing planning to obtain a first route; traversing all logistics vehicles corresponding to the first routing route, and matching the optimal logistics vehicle as a transport vehicle according to the vehicle loading situation; and marking the transport vehicle.

[0007] Optionally, in a third implementation method of the first aspect of the present invention, the real-time acquisition of actual transportation condition information of the transport vehicle and querying the loading strategy of the transport vehicle include: creating a vehicle information listener, and using the vehicle information listener to listen to the actual transportation condition information of the transport vehicle; when the actual transportation condition information is listened to, receiving the current actual transportation condition information; and querying the loading strategy of the transport vehicle.

[0008] Optionally, in a fourth implementation method of the first aspect of the present invention, the first route is feedback-adjusted according to the actual transportation situation information and the loading strategy to obtain a second route, and the second route is sent to the network terminal, including: parsing the actual transportation situation information to obtain vehicle number information, vehicle current position information, vehicle driving speed information, vehicle estimated arrival time information and vehicle path planning status information; real-time monitoring of the traffic conditions of the vehicle current position information, analyzing the traffic conditions and the vehicle driving speed information to obtain a first analysis result; judging whether the transport vehicle encounters traffic congestion or failure according to the first analysis result; if so, feedback-adjusting the first route according to the actual transportation situation information and the loading strategy to obtain a second route; and sending the second route to the network terminal.

[0009] Optionally, in a fifth implementation method of the first aspect of the present invention, when the logistics goods are transported according to the second route, the transportation details of the logistics goods are recorded, and the transportation details are stored in a logistics database, including: when the logistics goods are transported according to the second route, the transportation details of the logistics goods are recorded, and the transportation details include departure time, arrival time, loading and unloading time, path usage and any abnormal conditions; the transportation details are stored in the logistics database, and the transportation details are encrypted to obtain encrypted information; the encrypted information is uploaded to the blockchain.

[0010] Optionally, in a sixth implementation method of the first aspect of the present invention, when the logistics goods are transported according to the second route, the transportation details of the logistics goods are recorded, and after the transportation details are stored in the logistics database, it also includes: performing data analysis on the transportation details to obtain a second analysis result; iteratively optimizing the route planning model according to the second analysis result to obtain an optimized route planning model; and deploying the optimized route planning model.

[0011] The second aspect of the present invention provides a logistics distribution route planning device, including: an acquisition and selection module, used to acquire weight information of logistics goods sent by an outlet terminal, and select a distribution plan according to the weight information, wherein the distribution plan is straight distribution or collective distribution; a planning and marking module, used to perform route planning for the logistics goods whose distribution plan is collective distribution, obtain a first route, and mark the transport vehicles in the first route; an acquisition and query module, used to acquire actual transportation status information of the transport vehicles in real time, and query the loading strategy of the transport vehicles; an adjustment and sending module, used to perform feedback adjustment on the first route according to the actual transportation status information and the loading strategy, obtain a second route, and send the second route to the outlet terminal; a record storage module, used to record the transportation details of the logistics goods when the logistics goods complete the transportation according to the second route, and store the transportation details in a logistics database.

[0012] Optionally, in a first implementation method of the second aspect of the present invention, the acquisition and selection module includes: a first acquisition unit, used to acquire weight information of logistics goods sent by the outlet terminal; an identification and comparison unit, used to identify the weight value in the weight information, and compare the weight value with a preset weight threshold to obtain a comparison result; a determination unit, used to determine a distribution plan based on the comparison result, and the distribution plan is straight distribution or collective distribution.

[0013] Optionally, in a second implementation of the second aspect of the present invention, the planning and marking module includes: a screening unit, used to screen out the logistics goods whose distribution plan is collective distribution, and obtain the collective goods; a second acquisition unit, used to obtain the shipping information of the collective goods, and the shipping information includes the departure place, the destination and the transportation method; a calling planning unit, used to call a preset routing planning model, and input the departure place, the destination and the transportation method into the routing planning model for routing planning, and obtain a first route; a traversal matching unit, used to traverse all logistics vehicles corresponding to the first routing route, and match the optimal logistics vehicle as the transportation vehicle according to the vehicle loading situation; a marking unit, used to mark the transportation vehicle.

[0014] Optionally, in a third implementation method of the second aspect of the present invention, the query acquisition module includes: creating a monitoring unit, used to create a vehicle information listener, and using the vehicle information listener to monitor the actual transportation condition information of the transport vehicle; a receiving unit, used to receive the current actual transportation condition information when the actual transportation condition information is monitored; and a query unit, used to query the loading strategy of the transport vehicle.

[0015] Optionally, in a fourth implementation method of the second aspect of the present invention, the adjustment and sending module includes: a parsing unit, used to parse the actual transportation situation information to obtain vehicle number information, vehicle current position information, vehicle driving speed information, vehicle estimated arrival time information and vehicle path planning status information; a monitoring and analysis unit, used to monitor the traffic conditions of the vehicle current position information in real time, analyze the traffic conditions and the vehicle driving speed information, and obtain a first analysis result; a judgment unit, used to judge whether the transport vehicle encounters traffic congestion or failure according to the first analysis result; an adjustment unit, used to, if so, feedback adjust the first route according to the actual transportation situation information and the loading strategy to obtain a second route; and a sending unit, used to send the second route to the network terminal.

[0016] Optionally, in a fifth implementation of the second aspect of the present invention, the record storage module includes: a recording unit, used to record detailed transportation information of the logistics goods when the logistics goods are transported according to the second route, the transportation details including departure time, arrival time, loading and unloading time, path usage and any abnormal conditions; a storage encryption unit, used to store the transportation details in a logistics database, and encrypt the transportation details to obtain encrypted information; an upload encryption unit, used to upload the encrypted information to the blockchain.

[0017] Optionally, in a sixth implementation method of the second aspect of the present invention, it also includes: an analysis module, used to perform data analysis on the transportation details to obtain a second analysis result; an optimization module, used to iteratively optimize the routing planning model according to the second analysis result to obtain an optimized routing planning model; and a deployment module, used to deploy the optimized routing planning model.

[0018] The third aspect of the present invention provides a logistics distribution route planning device, which includes: a memory and at least one processor, wherein the memory stores instructions; at least one of the processors calls the instructions in the memory so that the logistics distribution route planning device executes each step of the logistics distribution route planning method described in any one of the above items.

[0019] A fourth aspect of the present invention provides a computer-readable storage medium having instructions stored thereon, and when the instructions are executed by a processor, the various steps of any of the above-mentioned logistics distribution route planning methods are implemented.

[0020] In the technical solution of the present invention, by acquiring the weight information of the logistics goods sent by the network terminal, the distribution plan is selected according to the weight information, and the straight distribution or the collective distribution can be automatically selected according to the weight of the goods, thereby reducing unnecessary transit links and shortening the time of goods transportation. The route planning is carried out for the logistics goods whose distribution plan is collective distribution to obtain the first route, and the actual transportation situation information of the transport vehicle is obtained in real time. According to the actual transportation situation information and the loading strategy, the first route is feedback-adjusted to obtain the second route, and the vehicles in the transportation process can be tracked and managed, the degree of intelligence is improved, the transportation route is reasonably planned, the overall efficiency of logistics distribution is improved, the empty load rate of vehicles is reduced, the transportation cost is saved, and the customer satisfaction is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A first flow chart of a logistics distribution route planning method provided by an embodiment of the present invention;

[0022] Figure 2 A second flow chart of the logistics distribution route planning method provided by an embodiment of the present invention;

[0023] Figure 3 A third flow chart of the logistics distribution route planning method provided by an embodiment of the present invention;

[0024] Figure 4 A fourth flow chart of the logistics distribution route planning method provided by an embodiment of the present invention;

[0025] Figure 5A schematic diagram of the structure of a logistics distribution route planning device provided by an embodiment of the present invention;

[0026] Figure 6 Another structural schematic diagram of the logistics distribution route planning device provided by an embodiment of the present invention;

[0027] Figure 7 A schematic diagram of the structure of a logistics distribution route planning device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The present invention provides a logistics distribution route planning method, device, equipment and storage medium, which can automatically select straightening distribution or collective distribution according to the weight of the goods, reduce unnecessary transit links, shorten the time of goods transportation, and can track and manage vehicles in the transportation process, improve the degree of intelligence, reasonably plan transportation routes, improve the overall efficiency of logistics distribution, reduce the empty load rate of vehicles, save transportation costs, and improve customer satisfaction.

[0029] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 , an embodiment of the logistics distribution route planning method in the embodiment of the present invention includes:

[0031] 101. Obtain the weight information of the logistics goods sent by the outlet terminal, and select a distribution plan based on the weight information. The distribution plan is straight distribution or collective distribution;

[0032] In this embodiment, the weight information of logistics goods is entered by each network terminal through the electronic system. The weight information should include units (such as kilograms, tons) and possible additional information (such as the number of packages, volume, etc.). The received weight information is verified to ensure that there are no errors or abnormal values. For example, a reasonable weight range is set for verification. According to business needs and transportation capacity, one or more weight thresholds are set as the basis for selecting a distribution plan. Straight delivery is suitable for goods with lighter weight and higher frequency of delivery, which are delivered directly from the departure point to the destination. Collective delivery is suitable for goods with heavier weight or large batches, which are first concentrated at a designated location and then uniformly distributed to the final destination. The system compares the weight information with the set threshold and generates a corresponding distribution plan. For example, if the weight is less than a certain threshold, straight delivery is selected; if the weight is greater than the threshold, collective delivery is selected.

[0033] 102. Perform route planning for the logistics goods whose distribution plan is collective distribution, obtain a first route, and mark the transport vehicles in the first route;

[0034] In this embodiment, all information on goods that need to be collected and distributed is collected, including the starting point, end point, weight, volume, time requirements, etc. of the goods. According to the starting point and end point, the optimal route is selected using a map and a logistics management system (such as GIS). The initially selected route is optimized using an algorithm (such as Dijkstra, A* algorithm) to ensure the timeliness and economy of the route. A detailed route map is made, marking each stop and its sequence so that the driver can clearly understand the transportation route. By simulating the transportation process, the feasibility of the first route is evaluated to ensure that the task can be completed on time in actual operation. Suitable transportation vehicles are selected according to the characteristics of the goods (such as weight, volume, and transportation requirements). For example, heavy goods require heavy trucks, while light goods can use small trucks. According to the company's vehicle management system, the selected transportation vehicles are numbered and marked, and the marking information is entered into the logistics management system to ensure that the status of each vehicle can be monitored in real time during transportation, including location, estimated arrival time, etc.

[0035] 103. Obtain the actual transportation information of the transport vehicle in real time and query the loading strategy of the transport vehicle;

[0036] In this embodiment, a GPS device is installed on each transport vehicle to track the vehicle position in real time. Through satellite signals, the current position, driving speed and route of the vehicle can be accurately obtained. The vehicle status (such as fuel consumption, temperature, load condition, etc.) is monitored by on-board sensors, and the surrounding environment is observed through monitoring cameras. The real-time data of the vehicle is transmitted to the logistics management system through the 4G / 5G or WIFI network for real-time monitoring in the background. A data integration platform is established to aggregate information from different vehicles and query the loading strategy of the transport vehicle. The loading strategy is to use a loading optimization algorithm (such as a greedy algorithm, dynamic programming, etc.) to calculate the optimal loading plan, maximize the loading capacity and reduce the empty load rate, and classify the goods according to their characteristics (such as weight, volume, properties, etc.) to ensure reasonable loading and improve the space utilization of the vehicle.

[0037] 104. Feedback and adjust the first route according to the actual transportation situation information and the loading strategy to obtain a second route, and send the second route to the network point terminal;

[0038] In this embodiment, the transportation status of the first route is monitored in real time by the GPS positioning system, including vehicle location, driving speed, traffic conditions, etc. The real-time monitoring system is used to identify abnormal events in the transportation process, such as delays, traffic congestion or other unexpected situations, and the actual transportation conditions collected are compared with the predetermined plan to evaluate the efficiency and accuracy of the first route, and determine the factors causing transportation delays or inefficiencies, for example, whether it is due to traffic congestion, weather effects or unreasonable loading. The loading optimization algorithm is applied to recalculate the loading plan of the second route to improve transportation efficiency and reduce empty load rate. Based on the analysis results and the new loading strategy, the second route is generated by the intelligent scheduling system, and the second route information is sent to the relevant network terminals through the wireless network to ensure that all relevant personnel obtain the latest transportation instructions in a timely manner.

[0039] 105. When the logistics goods are transported according to the second route, the transportation details of the logistics goods are recorded and stored in the logistics database;

[0040] In this embodiment, during the transportation process, key data and any abnormal situations that occur during the transportation process are recorded. The key data include the starting point, destination, transportation time, transportation status, vehicle information and cargo information, etc. Abnormal situations include delay reasons, accident information, cargo damage, etc. Ensure that all recorded data follows a unified format, select a suitable database type according to business needs, and design a suitable database table structure, including a transportation record table, a vehicle information table and a cargo information table. The transportation record table contains fields such as transportation ID, starting point, destination, transportation time, status, etc. The vehicle information table records vehicle-related information for associated queries, and the cargo information table records detailed information on each cargo. Use a database operating language (such as SQL) to insert the recorded transportation details into the corresponding database table.

[0041] In the embodiment of the present invention, by acquiring the weight information of the logistics goods sent by the outlet terminal and selecting the distribution plan according to the weight information, it is possible to automatically select straight distribution or collective distribution according to the weight of the goods, thereby reducing unnecessary transit links and shortening the time of goods transportation. Routing planning is performed for the logistics goods whose distribution plan is collective distribution to obtain a first route, and the actual transportation situation information of the transport vehicle is acquired in real time. According to the actual transportation situation information and the loading strategy, the first route is feedback-adjusted to obtain a second route, and the vehicles in the transportation process can be tracked and managed, the degree of intelligence is improved, the transportation route is reasonably planned, the overall efficiency of logistics distribution is improved, the empty load rate of vehicles is reduced, the transportation cost is saved, and the customer satisfaction is improved.

[0042] See also Figure 2 The second embodiment of the logistics distribution route planning method in the embodiment of the present invention includes:

[0043] 201. Obtaining the weight information of the logistics goods sent by the outlet terminal;

[0044] In this embodiment, when the goods arrive at the outlet, the operator needs to use an electronic scale to weigh them and record the weight information of each item. The weighing equipment is integrated with the logistics management system to realize automatic data collection. When recording the weight information, the corresponding fields are designed, for example, a number that uniquely identifies the goods, records the actual weight of the goods, and the unit of measurement of the weight. A corresponding table is created in the logistics database to store the weight information, and the obtained weight information is inserted into the weight table using a database operating language (such as SQL).

[0045] 202. Identify the weight value in the weight information, compare the weight value with a preset weight threshold, and obtain a comparison result;

[0046] In this embodiment, weight-related fields are extracted from the input data, such as the "weight" field in the cargo record, and the numerical part is extracted from the record using regular expressions or other string processing methods. If the weight units are inconsistent (such as kilograms and pounds), unit conversion is required. According to business needs, a reasonable weight threshold is set, and the threshold is stored in a database or configuration file. A conditional statement is used to compare the extracted weight value to determine whether it is within a preset range to obtain a comparison result.

[0047] 203. Determine the distribution plan based on the comparison results. The distribution plan is straight distribution or collective distribution.

[0048] In this embodiment, the distribution plan is determined according to the comparison result. For example, if the weight value is lower than the weight threshold, the collection distribution plan is adopted, and if the weight value is higher than the weight threshold, the straightening distribution plan is adopted.

[0049] 204. Filter out the logistics goods whose distribution plan is collective distribution, and obtain the collective goods;

[0050] In this embodiment, all relevant logistics data are prepared, including the weight, volume, shipping place and receiving place information of each piece of goods, all goods data are traversed, the weight of each piece of goods is checked, and the logistics goods with the distribution plan of collective distribution are screened out, and the goods that meet the collective distribution conditions are recorded in a new list.

[0051] 205. Obtain the shipping information of the collected goods, including the departure place, destination and transportation method;

[0052] In this embodiment, the list of goods marked as collected is traversed to extract the shipping information of each piece of goods, the shipping information including the departure place, destination and transportation method, and the departure place, destination and transportation method of each piece of goods are recorded in a new list.

[0053] 206. Calling a preset route planning model, and inputting the departure place, the destination, and the mode of transportation into the route planning model to perform route planning, thereby obtaining a first route;

[0054] In this embodiment, an API or a modular method is used to call the routing planning model, and the data required to be input into the routing planning model is prepared from the previously obtained shipping information to ensure that the routing planning model has been successfully loaded and can accept the input data. According to the requirements, the departure place, destination and mode of transportation are encapsulated as input parameters and passed in a dictionary or JSON format. The constructed input parameters are passed to the routing planning model, the routing planning function is executed, and the first route is generated. The routing planning model will return the information of the first route, which includes the specific driving path or route, the time required to complete the transportation, the total distance from the departure place to the destination, and the cost estimate based on the mode of transportation.

[0055] 207. Traverse all logistics vehicles corresponding to the first routing route, and match the best logistics vehicle as a transport vehicle according to the vehicle loading conditions;

[0056] In this embodiment, after obtaining the first routing information, the main goal is to traverse all logistics vehicles corresponding to the route, evaluate the loading status of each vehicle, and select the optimal transport vehicle, ensuring that the first routing information and logistics vehicle information are available, and write code logic to traverse all vehicles and check the loading status of each vehicle. According to the information of the first route and the remaining load of each vehicle, determine the matching vehicles to ensure that the remaining load of the vehicle can meet the weight requirements of the goods. If necessary, consider the degree of matching between the vehicle's driving efficiency and the route. After completing the traversal, check whether a suitable optimal vehicle is found. Finally, return the information of the optimal transport vehicle to the calling program for subsequent arrangements and scheduling.

[0057] 208. Marking of transport vehicles;

[0058] In this embodiment, after selecting the optimal transport vehicle, in order to better track and dispatch these vehicles, they are marked. Through the marking information, the corresponding transport vehicles are quickly screened in the dispatching system, and the vehicle status is updated regularly, for example, it is marked as "completed" after the transportation is completed.

[0059] In the embodiment of the present invention, by acquiring and analyzing weight information, the entire process relies on data support, making decisions more scientific and accurate. According to the comparison results of weight thresholds, different distribution plans can be flexibly used to improve the efficiency and adaptability of transportation. By screening and collecting goods and calling the routing planning model, efficient utilization of resources is ensured, the empty load rate is reduced, and costs are saved. Each step is linked together to form a systematic operation process, which reduces human intervention and errors and improves overall work efficiency. Through reasonable route planning and optimal vehicle matching, the transportation time can be significantly shortened and the overall logistics efficiency can be improved. Finally, the transportation vehicles are marked, which is helpful for subsequent transportation monitoring and management, and improves service quality and customer satisfaction.

[0060] See also Figure 3 The third embodiment of the logistics distribution route planning method in the embodiment of the present invention includes:

[0061] 301. Create a vehicle information listener, and use the vehicle information listener to monitor the actual transportation information of the transport vehicle;

[0062] In this embodiment, a suitable listener data structure is designed to continuously track the vehicle information of the transport vehicle, and logic is implemented in the listener to monitor changes in the vehicle status. After the listener captures the changes in the vehicle status, these changes need to be processed.

[0063] 302. When monitoring actual transportation information, receiving current actual transportation information;

[0064] In this embodiment, when the actual transportation situation information is monitored, the actual transportation situation information of the transportation vehicle is captured and transmitted in real time, the received information is parsed, and the parsed information is temporarily stored.

[0065] 303. Query the loading strategy of transport vehicles;

[0066] In this embodiment, the loading strategies of the transport vehicles in the loading strategy database are accessed, including historical data and currently valid loading plans, and the loading strategies are classified according to different dimensions, such as cargo type, distance, transportation mode, etc. The applicability of the queried loading strategies is evaluated to ensure that they meet the needs of the current transportation task.

[0067] 304. Analyze the actual transportation information to obtain vehicle number information, vehicle current location information, vehicle speed information, vehicle estimated arrival time information, and vehicle path planning status information;

[0068] In this embodiment, the actual transportation situation information is parsed to obtain vehicle number information, vehicle current position information, vehicle driving speed information, vehicle estimated arrival time information and vehicle path planning status information, and the collected vehicle number information, vehicle current position information, vehicle driving speed information, vehicle estimated arrival time information and vehicle path planning status information are sorted to form a structured data table.

[0069] 305. Real-time monitoring of the traffic condition of the current position information of the vehicle, analyzing the traffic condition and the vehicle driving speed information, and obtaining a first analysis result;

[0070] In this embodiment, the real-time location information of each vehicle, that is, the current location information of the vehicle, is obtained, and then the traffic conditions at the location are queried. Specifically, a third-party traffic API (such as Google Maps, Baidu Maps, etc.) is used to obtain real-time traffic data. After collecting the vehicle's driving speed information and traffic conditions, a comprehensive analysis is performed to obtain a first analysis result.

[0071] 306. Determine whether the transport vehicle encounters traffic congestion or failure according to the first analysis result;

[0072] In this embodiment, it is determined whether the vehicle encounters traffic congestion or a breakdown based on the key indicators of the first analysis result.

[0073] 307. If yes, feedback adjustment is performed on the first route according to the actual transportation situation information and the loading strategy to obtain a second route;

[0074] In this embodiment, if the transport vehicle encounters traffic congestion or failure, the real-time location information, driving speed, estimated arrival time and other data of the first route are obtained from the transportation management system, and the traffic conditions along the way are estimated, including road congestion, accident reports and weather impacts, etc. The loading strategy is clearly defined, including load requirements, loading and unloading efficiency and cargo priority, etc. The actual transportation situation is compared with the established loading strategy, and the mismatched parts are identified, such as whether the actual load meets expectations, whether the loading and unloading time is reasonable, etc. For the problems found in the first route (such as delays, deviations from the route, overloading, etc.), a detailed analysis is conducted to find out the causes of these problems. According to the actual information, the driving path of the first route is adjusted, including selecting a more unobstructed road or avoiding high-risk areas, while ensuring compliance with the loading strategy. The driving route and estimated arrival time of the second route are recalculated using the optimized path information and loading strategy, and the driving situation of the second route is simulated in the system to ensure that the new route is superior to the first route in terms of availability and efficiency.

[0075] 308. Send the second route to the network point terminal;

[0076] In this embodiment, the second route is applied to actual transportation. According to the communication protocol supported by the outlet terminal (such as HTTP, MQTT, FTP, etc.), the second route information is encrypted using encryption technology (such as TLS / SSL), and a suitable sending method is selected to send the encrypted second route to the outlet terminal, and relevant personnel are notified to update the transportation plan.

[0077] In the embodiment of the present invention, the status of the transport vehicle is monitored in real time through the vehicle information listener and real-time data reception, which greatly improves the response capability to dynamic situations. The actual transport situation and loading strategy are comprehensively analyzed so that the transport management can make rapid adjustments and optimize the transport route when encountering traffic congestion or failure. Through real-time traffic condition monitoring and analysis, delays can be effectively avoided to ensure a smoother transport process, thereby shortening the overall transport time. The route is adjusted according to the real-time data and loading strategy to ensure that the vehicle's carrying capacity and driving efficiency are maximized. Traffic problems or vehicle failures are identified in time, and measures can be taken quickly to reduce accident risks and ensure transport safety. Through precise route adjustment and information feedback, customer experience is enhanced and the transparency and controllability of the transport process are improved.

[0078] See also Figure 4 The fourth embodiment of the logistics distribution route planning method in the embodiment of the present invention includes:

[0079] 401. When the logistics goods are transported according to the second route, the detailed transportation information of the logistics goods is recorded, and the detailed transportation information includes the departure time, arrival time, loading and unloading time, route usage and any abnormal situation;

[0080] In this embodiment, when the logistics goods are transported according to the second route, the transportation details of the logistics goods are recorded. The transportation details are integrated by the departure time, arrival time, loading and unloading time, route usage and any abnormal situation.

[0081] 402. Store the detailed information of the transport in a logistics database, and encrypt the detailed information of the transport to obtain encrypted information;

[0082] In this embodiment, the transport details are organized into a format suitable for storage (such as JSON, XML or table form), the type and length of each field are clearly defined, so as to create a corresponding table structure in the database, the database type to be used is confirmed according to specific needs, a database connection library (such as JDBC, SQLAlchemy, etc.) is used to establish a connection with the database, a suitable data table is created in the database, the transport details and related metadata are inserted into the database, a suitable encryption algorithm (such as AES, RSA, etc.) is selected according to the sensitivity of the data and performance requirements, an encryption key is securely generated and stored in a secure location (such as a key management system) to protect the encryption process, the transport details are encrypted using the selected algorithm and key, and encrypted information is generated.

[0083] 403. Upload the encrypted information to the blockchain;

[0084] In this embodiment, a suitable blockchain platform (such as Ethereum, Hyperledger, Polygon, etc.) is selected according to project requirements, a developer account and wallet are created on the selected blockchain platform to facilitate transactions and contract deployment, the functions of the smart contract are clarified, such as storing encrypted information, querying information, updating information, etc., the data structure in the contract is defined, including fields for storing encrypted information, timestamps, identity identifiers, etc., the smart contract is written using Solidity (or other contract programming languages), the smart contract is compiled using a blockchain development environment (such as Remix, Truffle, etc.), bytecode is generated, the compiled smart contract is deployed to the blockchain, and the address of the smart contract is recorded. address for subsequent calls, construct the encrypted shipping information into a suitable format (such as JSON) and prepare it to be sent to the smart contract method, use the wallet to create a transaction, call the smart contract's storage method, pass the encrypted information as a parameter, sign the transaction using the private key in the wallet to verify identity and authorization, broadcast the signed transaction to the blockchain network, wait for confirmation and package it into a block, use a blockchain browser (such as Etherscan) to monitor the transaction status and confirm whether the transaction has been successfully packaged, record the transaction hash for future query and verification, retrieve the stored encrypted information through the smart contract's query method to ensure data integrity, and compare the data on the blockchain with the original encrypted information to confirm consistency.

[0085] 404. Perform data analysis on the detailed transportation information to obtain a second analysis result.

[0086] In this embodiment, missing values ​​in the transportation details are checked and supplemented or deleted to ensure data integrity, unify date formats, place naming, etc., ensure data consistency, eliminate duplicate records, ensure data uniqueness, calculate basic statistics of transportation data, such as mean, median, standard deviation, etc., obtain a preliminary understanding of the data, use charts (such as bar charts, line charts, scatter plots, etc.) to display transportation trends, timeliness, cost distribution and other information to help identify patterns and anomalies, extract meaningful features from the original data, such as the difference between actual transportation time and expected transportation time, the ratio of path length to transportation time, and the classification of reasons for failure to deliver on time, analyze the changing trend of transportation time, identify seasonal and cyclical patterns, establish a model to predict transportation costs, timeliness, etc., find out the weights of influencing factors (such as weather, traffic conditions), cluster transportation routes, customer needs, etc., identify similar patterns to optimize resource allocation, use cross-validation and other methods to evaluate the accuracy of the model used, organize the key factors and patterns found in the analysis process, form conclusions, and obtain the second analysis results.

[0087] 405. Iteratively optimize the routing planning model according to the second analysis result to obtain an optimized routing planning model;

[0088] In this embodiment, the main indicators affecting routing efficiency, such as transportation time, cost, full load rate, etc., are identified from the second analysis results. According to the analysis, the goals to be optimized are clarified, such as shortening transportation time, reducing transportation costs, or improving customer satisfaction. The results of the second analysis are integrated into the original data set to ensure that the model uses the latest transportation data and features. The feature set required for the model is reconstructed in combination with new features (such as path efficiency, transportation time difference, etc.). According to the analysis objectives, a suitable routing planning algorithm is selected, and a preliminary routing planning model is constructed based on the updated data and features. The optimization objectives and constraints, such as maximum carrying capacity, minimum cost, etc., are clarified. The selected algorithm is run to optimize the route to obtain a preliminary optimized route. The effect of the optimized model is evaluated using evaluation indicators (such as transportation time, cost-benefit analysis, etc.), and the optimized model is compared with the unoptimized model to observe the degree of improvement.

[0089] 406. Deploy the optimized routing planning model;

[0090] In this embodiment, each part of the optimized routing planning model is tested separately to test the coordination working ability of the whole system. After the test is completed, the optimized routing planning model is deployed to the server, the performance of the routing planning model is continuously monitored, and regular evaluation is performed. Logs and monitoring tools are used to track the operation of the routing planning model and transportation efficiency in real time.

[0091] In the embodiment of the present invention, by recording and encrypting detailed transportation information and uploading it to the blockchain, the security and non-tamperability of the data are ensured, the transparency of the logistics process is improved, and a closed-loop mechanism is formed through analysis and feedback of transportation data, which can continuously iterate and optimize the route planning model, thereby improving future transportation efficiency. Detailed recording and analysis of abnormal situations help to identify and solve potential problems in a timely manner, enhance the reliability and resilience of the overall transportation system, and the data analysis results provide a scientific basis for route planning, ensure more accurate decision-making, reduce transportation costs and time, and transparent data recording and the application of blockchain technology enhance customers' trust in logistics services and help establish long-term cooperative relationships.

[0092] The above describes the logistics distribution route planning method in the embodiment of the present invention. The following describes the logistics distribution route planning device in the embodiment of the present invention. Figure 5 In one embodiment of the present invention, a logistics distribution route planning device includes:

[0093] The acquisition and selection module 501 is used to acquire the weight information of the logistics goods sent by the outlet terminal, and select a distribution plan according to the weight information, and the distribution plan is straight distribution or collective distribution;

[0094] The planning and marking module 502 is used to perform route planning for the logistics goods whose distribution plan is collective distribution, obtain a first route, and mark the transport vehicles in the first route;

[0095] The acquisition query module 503 is used to obtain the actual transportation information of the transport vehicle in real time and query the loading strategy of the transport vehicle;

[0096] An adjustment and sending module 504 is used to feedback and adjust the first route according to the actual transportation situation information and the loading strategy to obtain a second route, and send the second route to the network point terminal;

[0097] The record storage module 505 is used to record the detailed transportation information of the logistics goods when the logistics goods are transported according to the second route, and store the detailed transportation information in the logistics database.

[0098] In this embodiment, by obtaining the weight information of the logistics goods sent by the branch terminal, the distribution plan is selected according to the weight information, and the straight distribution or the collective distribution can be automatically selected according to the weight of the goods, thereby reducing unnecessary transit links and shortening the time of goods transportation. The route planning is carried out for the logistics goods whose distribution plan is collective distribution to obtain the first route, and the actual transportation situation information of the transport vehicle is obtained in real time. According to the actual transportation situation information and the loading strategy, the first route is feedback-adjusted to obtain the second route, which can track and manage the vehicles in the transportation process, improve the degree of intelligence, reasonably plan the transportation route, improve the overall efficiency of logistics distribution, reduce the empty load rate of vehicles, save transportation costs, and improve customer satisfaction.

[0099] See also Figure 6 Another embodiment of the logistics distribution route planning device in the embodiment of the present invention includes:

[0100] The acquisition and selection module 501 is used to acquire the weight information of the logistics goods sent by the outlet terminal, and select a distribution plan according to the weight information, and the distribution plan is straight distribution or collective distribution;

[0101] The planning and marking module 502 is used to perform route planning for the logistics goods whose distribution plan is collective distribution, obtain a first route, and mark the transport vehicles in the first route;

[0102] The acquisition query module 503 is used to obtain the actual transportation information of the transport vehicle in real time and query the loading strategy of the transport vehicle;

[0103] An adjustment and sending module 504 is used to feedback and adjust the first route according to the actual transportation situation information and the loading strategy to obtain a second route, and send the second route to the network point terminal;

[0104] The record storage module 505 is used to record the detailed transportation information of the logistics goods when the logistics goods are transported according to the second route, and store the detailed transportation information in the logistics database;

[0105] In this embodiment, the acquisition selection module 501 includes: a first acquisition unit 5011, used to obtain the weight information of the logistics goods sent by the outlet terminal; an identification and comparison unit 5012, used to identify the weight value in the weight information, and compare the weight value with a preset weight threshold to obtain a comparison result; a determination unit 5013, used to determine the distribution plan according to the comparison result, and the distribution plan is straight distribution or collective distribution.

[0106] In this embodiment, the planning and marking module 502 includes: a screening unit 5021, which is used to screen out logistics goods whose distribution plan is collective distribution, and obtain the collective goods; a second acquisition unit 5022, which is used to obtain the shipment information of the collective goods, and the shipment information includes the departure place, the destination and the transportation method; a calling planning unit 5023, which is used to call the preset route planning model, and input the departure place, the destination and the transportation method into the route planning model for route planning, and obtain the first route; a traversal matching unit 5024, which is used to traverse all logistics vehicles corresponding to the first route, and match the optimal logistics vehicle as the transportation vehicle according to the vehicle loading situation; a marking unit 5025, which is used to mark the transportation vehicle.

[0107] In this embodiment, the query module 503 includes: creating a monitoring unit 5031, which is used to create a vehicle information listener and use the vehicle information listener to monitor the actual transportation situation information of the transport vehicle; a receiving unit 5032, which is used to receive the current actual transportation situation information when the actual transportation situation information is monitored; and a query unit 5033, which is used to query the loading strategy of the transport vehicle.

[0108] In this embodiment, the adjustment and sending module 504 includes: a parsing unit 5041, which is used to parse the actual transportation situation information to obtain vehicle number information, vehicle current position information, vehicle speed information, vehicle estimated arrival time information and vehicle path planning status information; a monitoring and analysis unit 5042, which is used to monitor the traffic conditions of the vehicle current position information in real time, analyze the traffic conditions and vehicle speed information, and obtain a first analysis result; a judgment unit 5043, which is used to judge whether the transport vehicle encounters traffic congestion or failure according to the first analysis result; an adjustment unit 5044, which is used to feedback and adjust the first route according to the actual transportation situation information and the loading strategy to obtain a second route if so; and a sending unit 5045, which is used to send the second route to the network terminal.

[0109] In this embodiment, the record storage module 505 includes: a recording unit 5051, which is used to record the transportation details of the logistics goods when the logistics goods are transported according to the second route. The transportation details include departure time, arrival time, loading and unloading time, path usage and any abnormal conditions; a storage encryption unit 5052, which is used to store the transportation details in the logistics database and encrypt the transportation details to obtain encrypted information; an upload encryption unit 5053, which is used to upload the encrypted information to the blockchain.

[0110] In this embodiment, it also includes: an analysis module 506, which is used to perform data analysis on the transportation detailed information to obtain a second analysis result; an optimization module 507, which is used to iteratively optimize the route planning model according to the second analysis result to obtain an optimized route planning model; and a deployment module 508, which is used to deploy the optimized route planning model.

[0111] above Figure 5 and Figure 6 The logistics distribution route planning device in the embodiment of the present invention is described in detail from the perspective of modular functional entities. The logistics distribution route planning device in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0112] Figure 7 1 is a schematic diagram of the structure of a logistics distribution route planning device provided by an embodiment of the present invention. The logistics distribution route planning device 600 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 610 (for example, one or more processors) and a memory 620, and one or more storage media 630 (for example, one or more mass storage devices) storing application programs 633 or data 632. Among them, the memory 620 and the storage medium 630 can be short-term storage or permanent storage. The program stored in the storage medium 630 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the logistics distribution route planning device 600. Furthermore, the processor 610 can be configured to communicate with the storage medium 630, and execute a series of instruction operations in the storage medium 630 on the logistics distribution route planning device 600 to implement the steps of the logistics distribution route planning method provided by the above-mentioned method embodiments.

[0113] The logistics distribution route planning device 600 may also include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input and output interfaces 660, and / or one or more operating systems 631, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will appreciate that Figure 7 The structure of the logistics distribution route planning device shown does not constitute a limitation on the logistics distribution route planning device, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0114] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the logistics distribution routing planning method.

[0115] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device, or unit can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0116] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program codes.

[0117] Finally, it should be noted that the above description is only a preferred example of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A logistics distribution route planning method, characterized in that: include: Obtaining the weight information of the logistics goods sent by the outlet terminal, and selecting a distribution plan according to the weight information, wherein the distribution plan is straight distribution or collective distribution; Performing route planning for the logistics goods whose distribution plan is collective distribution to obtain a first route, and marking the transport vehicles in the first route; Acquire the actual transportation status information of the transport vehicle in real time and query the loading strategy of the transport vehicle; Feedback adjustment is performed on the first route according to the actual transportation situation information and the loading strategy to obtain a second route, and the second route is sent to the network point terminal; When the logistics goods are transported according to the second route, the transportation details of the logistics goods are recorded and stored in the logistics database.

2. The logistics distribution route planning method according to claim 1 is characterized in that: The step of obtaining the weight information of the logistics goods sent by the network point terminal and selecting a distribution plan according to the weight information, wherein the distribution plan is straight distribution or collective distribution, includes: Obtain the weight information of logistics goods sent by the outlet terminal; Identifying a weight value in the weight information, comparing the weight value with a preset weight threshold, and obtaining a comparison result; A distribution plan is determined according to the comparison result, and the distribution plan is straight distribution or collective distribution.

3. The logistics distribution route planning method according to claim 1 is characterized in that: The step of performing route planning on the logistics goods whose distribution scheme is collective distribution to obtain a first route, and marking the transport vehicles in the first route includes: Filter out the logistics goods whose distribution plan is collective distribution, and obtain the collective goods; Obtaining the shipping information of the collected goods, wherein the shipping information includes the departure place, destination and transportation method; Calling a preset route planning model, and inputting the departure place, the destination, and the transportation mode into the route planning model to perform route planning, thereby obtaining a first route; Traversing all logistics vehicles corresponding to the first routing route, and matching the best logistics vehicle as a transport vehicle according to vehicle loading conditions; The transport vehicle is marked.

4. The logistics distribution route planning method according to claim 1 is characterized in that: The real-time acquisition of the actual transport situation information of the transport vehicle and querying the loading strategy of the transport vehicle include: Creating a vehicle information listener, and using the vehicle information listener to monitor the actual transportation situation information of the transportation vehicle; When the actual transportation situation information is monitored, the current actual transportation situation information is received; Query the loading strategy of the transport vehicle.

5. The logistics distribution route planning method according to claim 1 is characterized in that: The step of performing feedback adjustment on the first route according to the actual transportation situation information and the loading strategy to obtain a second route, and sending the second route to the network point terminal includes: The actual transportation situation information is parsed to obtain vehicle number information, vehicle current location information, vehicle speed information, vehicle estimated arrival time information and vehicle path planning status information; monitoring the traffic condition of the current position information of the vehicle in real time, analyzing the traffic condition and the driving speed information of the vehicle to obtain a first analysis result; Determining whether the transport vehicle encounters traffic congestion or breakdown according to the first analysis result; If yes, feedback adjustment is performed on the first route according to the actual transportation situation information and the loading strategy to obtain a second route; The second route is sent to the network point terminal.

6. The logistics distribution route planning method according to claim 1 is characterized in that: When the logistics goods are transported according to the second route, the transportation details of the logistics goods are recorded and stored in the logistics database, including: When the logistics goods are transported according to the second route, the transportation details of the logistics goods are recorded, and the transportation details include departure time, arrival time, loading and unloading time, route usage and any abnormal situation; The transport details are stored in a logistics database, and the transport details are encrypted to obtain encrypted information; The encrypted information is uploaded to the blockchain.

7. The logistics distribution route planning method according to claim 1 is characterized in that: When the logistics goods are transported according to the second route, the transportation details of the logistics goods are recorded and stored in the logistics database, and further includes: Performing data analysis on the transport detailed information to obtain a second analysis result; Iteratively optimize the routing planning model according to the second analysis result to obtain an optimized routing planning model; The optimized routing planning model is deployed.

8. A logistics distribution route planning device, characterized in that: include: An acquisition and selection module is used to acquire the weight information of the logistics goods sent by the outlet terminal, and select a distribution plan according to the weight information, wherein the distribution plan is straight distribution or collective distribution; A planning and marking module, used for performing route planning for the logistics goods whose distribution plan is collective distribution, obtaining a first route, and marking the transport vehicles in the first route; An acquisition query module is used to obtain the actual transportation information of the transport vehicle in real time and query the loading strategy of the transport vehicle; An adjustment and sending module, configured to perform feedback adjustment on the first route according to the actual transportation situation information and the loading strategy, obtain a second route, and send the second route to the network point terminal; The record storage module is used to record the transportation details of the logistics goods when the logistics goods are transported according to the second route, and store the transportation details in the logistics database.

9. A logistics distribution route planning device, characterized in that: The logistics distribution route planning device comprises: a memory and at least one processor, wherein instructions are stored in the memory; At least one of the processors calls the instructions in the memory so that the logistics distribution route planning device executes each step of the logistics distribution route planning method as described in any one of claims 1-7.

10. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the various steps of the logistics distribution route planning method as described in any one of claims 1-7 are implemented.

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