611 results about "Logistic distribution" patented technology

This method relates to the generation of manipulation requests of an initialization and administration database of a server cluster comprising several nodes interconnected between each other by at least one data transmission network. It comprises steps of generating from a logical distribution of the nodes of the cluster, from a geographical distribution and from a hardware definition of the nodes of the cluster at least one set of profiles of the nodes and of the data transmission network; defining an addressing policy of the nodes of the cluster; allocating from the set of profiles and according to the addressing policy, at least one address to each node of the server cluster and generating a set of parameters of the cluster; and generating from the set of parameters of the cluster and of the addresses of its nodes, at least one file of manipulation requests of the database.

A logistics distribution control method with soft time windows includes the following steps: (A1) a network model is built, cost resistances are assigned to roads to which network data are concentrated, and taking road nodes into consideration, toll weights are assigned to road traffic light intersections and toll stations; (A2) an optimized vehicle routing model with soft time windows (VRPTW) is built, a target function is established with lowest transportation costs, and the transportation costs are respectively composed of fixed distribution vehicle cost, transportation cost, vehicle waiting cost and delay cost; (A3) a fuzzy clustering analysis algorithm is designed, and a method based on the integration of quantitative analysis and qualitative analysis is adopted for clustering; (A4) a heuristic optimized vehicle routing algorithm is designed, the optimized vehicle routing algorithm is adopted for distribution target nodes in each class, and thereby a distribution result can be obtained. The logistics distribution control method with soft time windows adopts the distances of actual delivery road network routes between distribution nodes as a calculation basis and also takes the actual traffic capacities of roads, large network node number and transportation time needed by distribution nodes into consideration.

The invention discloses a mobile phone-based method for realizing logistics distribution, which comprises the following steps that: an owner of goods registers in a logistics management system on a logistics management website and releases goods source information; a vehicle owner uses a mobile phone terminal to release vehicle information including the vehicle position information uploaded by a positioning module of a global positioning system (GPS) to the logistics management system through a general packet radio service (GPRS) wireless network; the logistics management system automatically matches the goods source and the vehicle source according to the goods position registered by the owner of goods and the vehicle position information uploaded by the vehicle owner through the GPS positioning module of the mobile phone and recommends the optimal goods source or vehicle source to the vehicle owner or owner of goods. According to the method, the logistics distribution is realized by using the GPRS module and GPS module of the mobile phone, and restrictions of the conventional network are avoided and the successful rate and effectiveness of goods source matching is improved, so that a true 'mobile logistics' is realized in a true sense. The invention also discloses a mobile phone-based logistics distribution management system.

The invention relates to a system and a method for intelligently monitoring and managing the logistics of dangerous articles on the basis of radio frequency identification in the technical field of logistics monitor. The invention comprising the steps of installing a system for monitoring the state of dangerous article packing box within the dangerous article packing box, collecting in real time the physical state of the dangerous articles and writing onto a RFID label outside a container; using a dangerous article vehicle monitoring system, each monitoring station and checking stations on the way to read and write in real time the information of the RFID label in the entire process of logistics, and dynamically exchanging for dangerous article logistics information, state information, safety information and vehicle driving state information with a dangerous article logistics integrated monitor and management platform; adopting the dangerous article logistics integrated monitor and management platform to realize the integrated monitor and management in the process of logistics and to provide the real-time inquiry for the remote users, which forms the intelligent monitor of the dangerous article logistics with the functions of article multilevel real time monitor, synchronous in-time alarm, malfunction automatic treatment and unified logic distribution, thus integrally accomplishing the distribution multilevel monitor, process real-time follow, automatic error processing and remote real-time inquiry in the process of dangerous article logistics.

The invention relates to a method for planning a logistics distribution path and discloses a method for selecting a multi-user and multi-warehouse logistics distribution path. The method comprises the main steps of initializing an ant colony optimization method, setting up the path, updating information elements, initializing a taboo search optimization method, setting up a neighborhood path set, evaluating the neighborhood path set, updating the path, and updating a taboo list. According to the method, firstly the ant colony optimization method is utilized for obtaining the alternative scheme of the distribution path, then the distribution path is used as the initial path of the taboo search to conduct further optimization, the ant colony optimization technology is one of colony intelligent optimization technologies, a person is good at finding the area where the optimal path possibly exists, the taboo search technology belongs to a locus method, two processing technologies are mixed, therefore, respective advantages can be fully utilized, and the search performance of the method is improved. The method for selecting the multi-user and multi-warehouse logistics distribution path overcomes the defects in an existing path distribution optimization method and is more suitable to path optimization processing of multi-user and multi-warehouse logistics distribution.

Stochastic models of aircraft flight paths and a method for deriving such models from recorded air traffic data. Each stochastic model involves identifying the flight plan for one or more aircraft; identifying important parameters from each flight plan, such as aircraft type, cruise altitude, and airspeed; optionally identifying flight plan amendments for each flight; representing each route of flight as a series of navigational fixes; representing at least one aircraft flight parameter probabilistically; modeling realistic differences in at least one dimension between each planned route of flight and the flight path as it might actually be flown; and communicating the modeled deviations or simulated flight paths to the user. At least one aircraft flight parameter is represented as a random variable with a particular statistical distribution, such as a normal (Gaussian), Laplacian, or logistic distribution; or with a more complex algorithm containing one or more random elements. The modeled flight parameters may be any of lateral position, longitudinal position, climb altitude, descent altitude, climb airspeed, descent airspeed, cruise airspeed, cruise altitude transition, or response time to a flight plan amendment.

The invention discloses a logistics distribution system and method. The system disclosed by the invention comprises a user cell phone, a communication device, a customer service center and a logistics terminal distribution storage cabinet, wherein the user cell phone is used for sending authentication information; the communication device is used for receiving the authentication information sent by the user cell phone and sending the authentication information to the customer service center; the customer service center is used for judging whether a user has an authority limit for opening the logistics terminal distribution storage cabinet or not according to the authentication information; if so, an unlocking instruction is sent to the logistics terminal distribution storage cabinet; the logistics terminal distribution storage cabinet is used for storing logistics distribution cargos; and after the logistics terminal distribution storage cabinet receives the unlocking instruction, a door lock of a cabinet door is opened. The logistics distribution system and method, disclosed by the invention, are flexible, convenient and fast. According to the logistics distribution system and method, disclosed by the invention, a mobile communication method is used for carrying out data transmission so that the arrangement of the logistics terminal distribution storage cabinet is not limited by a network environment of a configuration place and the application range of an intelligent storage terminal is expanded. The logistics distribution system and method have the characteristics of low cost and high utilization rate.

The present invention discloses a logistics distribution path optimization method, apparatus and device, and relates to the technical field of logistics distribution. The logistics distribution path optimization method, apparatus and device consider time window factors of a distribution center and distribution points to obtain vehicle scheduling information which better meets actual logistics demands. The method comprises the steps of: obtaining user information of users to be distributed; according to the user information, determining receiving time, receiving addresses and cargo demand amounts corresponding to the users to be distributed; according to the receiving addresses, calculating transportation distances and transportation time between the users to be identified; and according tothe transportation distances and the transportation time, combining the receiving time, the cargo demand amounts and one predetermined truck cargo capacity of each truck, employing a preset vehicle scheduling algorithm, and calculating and obtaining vehicle scheduling information comprising logistics distribution paths. The logistics distribution path optimization method, apparatus and device aresuitable for optimization of the logistics distribution paths.

The invention provides a logistics distribution method which comprises three stages of unified cargo distribution, cargo distribution and cargo posting. An intelligent distribution base station can basically realize unmanned distribution through an unmanned aerial vehicle and an unmanned vehicle. The last mile of logistics distribution is efficient, convenient and safe. Personalized distribution of express is realized. Cargo can be conveniently and fast distributed to users at the right time. According to the method, the distribution efficiency is improved; the distribution time is flexible; the pollution of vehicles to the environment is reduced; and the pressure on urban traffic congestion is reduced.

The invention discloses a planning method for tobacco logistics distribution routes and belongs to the field of tobacco distribution. The planning method comprises the steps of: 1) clustering retailers in a district; 2) planning sites and service areas on the basis of discrete models; 3) determining optimal routes on the basis of distribution workload models; 4) planning purchase order dates. BY means of the planning method for the tobacco logistics distribution routes, optimal planning of the distribution routes of the whole district can be performed, on the one hand, the fixed input and operation costs can be reduced and the efficiency can be improved, on the other hand, the cooperation among manufacturers, the retailers and consumers can be enhanced and the supply chain management level can be improved.

The invention provides a logistics distribution management system and a logistics distribution management method. The system comprises a data server, a logistics distribution monitoring module and a plurality of intelligent mobile terminals, wherein the logistics distribution monitoring module is used for dividing a distribution area into a plurality of distribution grids, determining the distribution grids corresponding to the addresses of customer orders, generating and sending the logistics distribution information to the intelligent mobile terminals corresponding to the distribution grids; the intelligent mobile terminals are used for receiving the logistics distribution information, generating signing information and delivery information of goods, and sending the signing information and delivery information of goods to the data server; the data server is used for acquiring the signing information and delivery information of goods in the logistics distribution process. According to the logistics distribution management system and the logistics distribution management method provided by the invention, the distribution areas are divided based on a grid mode, and the logistics distribution in each distribution area is subjected to intelligent route optimization, so that the distribution is more flexible and varied, the unnecessary distribution cost is greatly reduced, the logistics distribution efficiency is improved, and the customer experience is greatly promoted.

The invention discloses an optimization method for solving an omni-channel logistics distribution problem. In a first stage, a Lagrange relaxation technology is used to solve a LAP (Location-allocation Problem) problem. In a second stage, adaptive large-scale neighborhood search is used for solving a multi-vehicle-type vehicle path problem, a feasible solution can be searched in a large range in a solution space through one group of simple destruction and reconstruction algorithms, and a situation of falling into local optimum can be effectively avoided. Meanwhile, a simulated annealing acceptance criteria realized in the adaptive large-scale neighborhood search can guarantee the quality of a solution and the convergence of the algorithm, a result is output after the algorithm is executed for an appointed iteration number, a time constraint requirement can be met, and a good vehicle distribution scheme is solved for enterprises in limiting time. The simpleness of the Lagrange relaxation technology is combined with the efficiency of the adaptive large-scale neighborhood search, so that the integral solving efficiency of a mixed algorithm is high, and the problem of omni-channel logistics distribution can be effectively solved.

The invention provides a tobacco logistics distribution system and method. The tobacco logistics distribution system comprises an unpacking device, a sorting system, transfer containers, casing equipment, an information identity card reader-writer, a central control server and a handheld terminal. The tobacco logistics distribution system is used for sorting and distributing tobacco for customer orders in a tobacco logistics center, the transfer containers with RFID (radio frequency identity) tags are used for distributing the tobacco, and full sensing during cigarette distribution is realized. Each transfer container is provided with an RFID tag, and cigarette order information of the transfer containers is written into the RFID. In order to distribute customer identity cards to the customers, scanning time and places are recorded by scanning the RFID tags of the transfer containers and the customer identity cards during distribution, and orders can be distributed within the preset time and places and are well documented, so that tobacco distribution time and places are monitored, and tobacco logistics distribution speed is effectively guaranteed. By reading and checking the RFID content of the transfer containers in important logistics sites, cigarette in the transfer containers can be traced and managed.

The invention discloses a multi-agent-based platform scheduling intelligent sorting model structure. Steel material logistics distribution belongs to heavy-duty transportation in transportation and needs special handling equipment and large-scale transportation vehicles. In a distribution and loading process, the loading efficiency and sequence (platform scheduling) of vehicles are directly related to distribution aging. Platform scheduling is a multi-constraint combination optimization complex system. Reasonable ordering and optimization are essential. According to the invention, a multi-agent technology is used to research real-time vehicle scheduling decisions; a combination optimization complex system using a platform-based scheduling ordering system and multi-agent algorithm design as multiple constraints is constructed; a multi-agent technology provides a new solution for the research of real-time vehicle scheduling decisions to improve the efficiency of freight operations; the optimal solution is acquired; an auxiliary vehicle identification technology is used to carry out whole-process monitoring on distribution vehicles; efficient vehicle scheduling and precise handling are realized; and precise steel material distribution is realized.

The invention discloses a privacy protection system based on a two-dimensional code multilayer encryption technology for personal information in a logistics process. A two-dimensional code encryption technology and a layered extraction technology are combined in order to solve the problem of leakage of logistics platform personal information. The privacy protection system mainly comprises a two-dimensional code layered encryption printing module of a sending service department, a layered two-dimensional code decryption information extraction scanning module for use in a logistics transfer process, and a personal information verification module of a logistics distribution end. Through adoption of the privacy protection system, a logistics information inquiry authentication mechanism is implemented, and the contradiction between address information leakage and incapability of inquiring after encryption in logistics number inquiry is solved.

The invention discloses a logistics distribution method comprising the following steps: constructing a storage center site selection model, determining the location information of storage centers according to the storage center site selection model and by a heuristic central clustering algorithm, and determining the coverage information of each storage center; constructing a path planning model, and determining distribution path information realizing shortest distribution distance, lowest distribution tool service cost and shortest waiting time for customers; and acquiring current real-time road information, current disposable distribution tool information and customer's distribution time demand information, and performing distribution tool scheduling according to the acquired road information, current disposable distribution tool information and customer's distribution time demand information as well as the determined distribution path information to realize logistics distribution. The invention further discloses a logistics distribution system.

The invention discloses a method for solving a logistic transport vehicle routing problem with soft time windows. According to the method, for the purpose of solving the problem of the logistics transport vehicle routing problem with the soft time windows on the basis of real-time traffic information, a time window punishment mechanism is employed and a mathematic model is established; and the model is solved by use of a self-adaptive chaotic ant colony algorithm, and the searching optimization capability of the algorithm is improved through self-adaptive updating of algorithm information elements and chaotic self-adaptive adjustment of algorithm parameters. According to the invention, the method better matches logistics distribution in realistic production life, the problem is solved by use of the self-adaptive chaotic ant colony algorithm, the optimization search capability is better, a search process is effectively prevented from partial optimum, the diversity of solutions and the global searching optimization capability are improved, the global updating strategy is improved, an elite strategy is introduced, and positive feedbacks of information elements released by high-quality ants are properly improved; and the upper limits and lower limits of the information elements and the information element increments are arranged so that overlarge differences of the information elements on a path are reduced, and the classic vehicle routing searching optimization problem is solved by use of the self-adaptive chaotic ant colony algorithm.

The invention provides a supply chain management system of one-stop integrated logistic service. The supply chain management system comprises a customer management module, a customs declaration and inspection module, a logistic distribution module, a storage module, a process module and a balance account module, wherein the customer management module is used for carrying out customer management operation to customer service staff; the customs declaration and inspection module is used for carrying out customs clearance operation on enterprise import and export practices; the logistic distribution module is used for carrying out the operation of dispatch, order supervision, order acknowledgement and the like for transportation business; the storage module is used for carrying out warehouse in / out and inventory management of cargos; the process module is used for carrying out real-time management and control, reminding and early warning on the processes of all businesses; and the balance account module is used for carrying out charge balance account for all the businesses. The supply chain management system is not only a set of informatization management software of a third logistic enterprise, but also a set of supply chain solution scheme providing the one-stop integrated logistic service for a cargo owner enterprise; the supervisory control and management are realized for the whole supply chain links; the execution performance of the whole supply chain is improved; the cost is reduced; and the supply chain value is created.

An intelligent logistics platform system comprises a city-wide distribution basic function module, a city-wide logistics distribution supporting service module and a transaction value-added service module. According to the platform, with high-tech intelligence as the support, the role of information technology in logistics distribution is enhanced, and a new logistics distribution service system for realizing the most effective resource allocation between city logistics vehicles and goods is achieved. Through integrating related information of logistics upstream and downstream enterprises, a comprehensive supply chain solution is provided, diverse and complex needs of a demand side can be met effectively, logistics market informatization is promoted, and while the economic development of the region is promoted, the Internet of things research and development field is expanded.

The invention discloses a method for recognizing unknown roads in a current navigation map and carrying out navigation on the unknown roads. The method comprises the following steps: (1) collecting and extracting information of unknown roads: obtaining the initial driving track data through track collection, processing and analyzing the track data to extract the information of unknown roads, integrating the unknown roads into known roads, and providing the map for navigation; (2) carrying out navigation on unknown roads: after the information of unknown roads is obtained, calculating the navigation information (turn-around direction and turn-around distance) of unknown roads, combining realtime positioning, and matching the realtime position to the current unknown roads to realize realtime navigation. The provided method can extract the information of unlabelled roads, which exist on a navigation map, through historical tracks, conveniently navigates drivers on the unknown roads, avoids the phenomenon that the drivers are detoured or cannot reach the destination due to slow update of navigation map, and is suitable for the field of logistics distribution.

Stochastic models of aircraft flight paths and a method for deriving such models from recorded air traffic data. Each stochastic model involves identifying the flight plan for one or more aircraft; identifying important parameters from each flight plan, such as aircraft type, cruise altitude, and airspeed; optionally identifying flight plan amendments for each flight; representing each route of flight as a series of navigational fixes; representing at least one aircraft flight parameter probabilistically; modeling realistic differences in at least one dimension between each planned route of flight and the flight path as it might actually be flown; and communicating the modeled deviations or simulated flight paths to the user. At least one aircraft flight parameter is represented as a random variable with a particular statistical distribution, such as a normal (Gaussian), Laplacian, or logistic distribution; or with a more complex algorithm containing one or more random elements. The modeled flight parameters may be any of lateral position, longitudinal position, climb altitude, descent altitude, climb airspeed, descent airspeed, cruise airspeed, cruise altitude transition, or response time to a flight plan amendment.

The invention provides a site selection and transportation optimization method for super-large scale logistics distribution. The method comprises the steps of clustering, side selection planning and route planning, specially, the method comprises the steps that computing is carried out with a method combined by a from-bottom-to-top clustering method and a designating-based clustering algorithm; a given distribution center number is p, the best site selection scheme is computed with minimum total cost as a target; site selection schemes with different distribution center numbers are compared, administration cost is integrated, an ideal site selection scheme is selected; according to the requirements of distraction point numbers in each cluster and geographic information, the time requirement of distribution connecting of each distribution point and the traffic time requirement between points are computed; an ant colony algorithm is used, and the best distribution route is obtained by computing. According to the site selection and transportation optimization method for super-large scale logistics distribution, the problem that computing amount is large caused by the fact that distribution points are increased greatly is effectively solved, compared with existing site selection-route planning, computing expenditure is greatly lowered, and efficiency is obviously improved.

The invention discloses an ant colony optimization processing method of large-scale multi-target intelligent moving route selection; after data of NTSP target logistics delivery addresses, distances between every two addresses, and M price of cost for passing through each route are obtained, a route planning unit is solved by ant colony optimization technology so as to obtain a specific walking route for intelligent mobile-agent delivery, and the route is outputted to an executive mechanism for realization. When the method is used to solve the problem of large-scale multi-target intelligent moving route selection, the invention has good optimization performance, and has the advantages of parallelism, self-organization, strong robustness, and the like, and the obtained solutions are large in quantity, high in quality, and have strong approximation capability to the real Pareto solution set; the obtained solution set has uniform distribution; the calculation speed is high. The inventioncan be used in intelligent processing units of route planning systems in fields of logistics distribution, intelligent traffic, internet, robots, etc.

The invention discloses a logistics distribution management method and a logistics distribution management apparatus. The logistics distribution management method includes the following steps that: order information of a selected shop, which is sent by the outside, is received, wherein the order information contains destination address information, wherein each piece of destination address information is corresponding to an order; a task is generated, wherein the task comprises at least one order; an optimal route is obtained through calculation according to the destination address information of all the orders in the task, starting address information corresponding to the selected shop and a stored route optimal algorithm; the task is distributed to the mobile terminal of a distributor, so that the order reception confirmation information of the distributor can be obtained; and after the order reception confirmation information is received, the optimal route is sent to the mobile terminal, so that the distributor can carry out distribution according to the optimal route. According to the logistics distribution management method and the logistics distribution management apparatus of the invention, the optimal route obtained through calculation is sent to the mobile terminal of the distributor, and therefore, anyone can be adopted as the distributor and can carry out distribution with highest speed.

The invention provides a logistics distribution system and a distribution method thereof. The distribution system comprises a packing case which is provided with a dynamic electronic password lock, a remote server which records information of the packing case, and a user communication terminal which is connected with the remote server via a network. The distribution method comprises the following steps: a distribution object is put into the packing case which is then locked; then the information of the packing case is bound with a user communication terminal number at the remote server terminal; and finally after the object is delivered to a destination, the user communication terminal is connected with the remote server, and the remote server sends a dynamic password, which is bound with the user communication terminal number and effective within a current certain period of time of the dynamic electronic password lock on the packing case, to the user communication terminal so that a user can open the packing case and extract the object. Safety of the logistics distribution object can be effectively enhanced by the logistics distribution system and the distribution method thereof.

The invention discloses a logistics distribution management method which comprises steps as follows: goods owners upload goods source information to a logistics management center through operating terminals, vehicle owners unload vehicle source information to the logistics management center through intelligent mobile terminals, a monitoring module of the logistics management center matches the goods source information of the goods owners with the vehicle source information of the vehicle owners to recommend optimal goods sources and optimal vehicle sources, the vehicle owners plan out optimal transportation routes through a GPS (global positioning system) navigation system and perform real-time navigation, the vehicle owners and clients inquire in a logistics management platform to know real-time positions of goods, the vehicle owners generate electronic signatures and delivery information through the intelligent mobile terminals and upload the electronic signatures and the delivery information to the logistics management center after delivering the goods, and the logistics management center counts the transportation volume and sends logistics transportation management assessment information to the goods owners and the vehicle owners. With the adoption of the management method, management and matching by a logistics distribution center are more flexible, the success rate and effectiveness of logistics distribution are greatly increased, expenses of the goods owners and the vehicle owners are saved, and the service level is improved.

The invention discloses a cost-effective solution suitable for B2C E-commerce logistics distribution. The solution comprises the following steps: preprocessing is implement by a WMS, wherein some preprocessing functions are added through the management system WMS informationalized by a B2C distribution center; sowing sorting is performed at first, and then the packing operation is rechecked, wherein after the preprocessing operation is implemented, the sorting step is performed in advance to implement unbundling sorting of commodities in a turnover box: automatic sowing is performed by adopting the unbundling sorting technology; and one annular conveyor line is used to form two logic sorting systems through the presorting function of the management system WMS. The cost-effective solution suitable of the invention can be used to satisfy a B2C distribution center which can process 200,000-250,000 commodities every day on average, has advantages of low cost and high efficiency, and can be widely popularized.

The invention discloses intelligent logistics distribution and delivery based on a discrete particle swarm optimization algorithm and aims at scheduling the path of a transportation vehicle so as to save the transportation cost. A coding mode and an operator based on the set and the probability are introduced on the basis of a framework of a standard particle swarm optimization algorithm, the particle swarm optimization algorithm which is originally suitable for a continuous space can be introduced into a discrete combined optimized space, so that the problem that the path of the vehicle is scheduled is solved and the advantages of high operation efficiency, strong optimization capacity, strong robustness, and the like endowed by the traditional particle swarm algorithm can be maintained. In addition, by using heuristic information to construct the positions of particles and introduce a local operator search, features of the problem and information contained in the data are utilized, and thereby the solving result of the algorithm is further enhanced. By adopting normalization weighting and decision idea to deal with the target, the transportation path is strived to be shortest while the number of transportation vehicles are required to be minimum, therefore, the transportation cost of logistics distribution and delivery businessmen can be reduced to the maximum extent.

This invention provides an operation platform system realizing the commercial mode of integral city electronic business affairs and distribution including a commercial managing sub-system based on the internet environment, a billing service sub-system, a distribution center sub-system and a chain distribution sub-system, in which, the commercial management sub-system includes the functions of commercial management, customer management and the distribution management, the billing service sub-system accesses orders or other information to the commercial management sub-system by the data interface in multiple information transfer modes, the distribution sub-system processes the stock information and distribution , the chain sub-system receives the order information sent by the commercial management sub-system via the internet to generate the mixed chukudan and feeds back the stock information of the network points to the sub-systems of the distribution center.

The invention relates to method and device for planning a logistics distribution route. The method and device are that a distribution point and a demand point are treated as nodes, and the directly-arrived shortest routes between the distribution point and the demand point and between the demand points are treated as the edges, so as to construct a route connection map; task sub-maps in which the total distribution quantity of the nodes included is not greater than the preset transportation quantity tolerance are divided according to the distribution quantity of each demand point node and the distance of each edge; the minimum support tree for all the nodes included in the task sub-maps is constructed; a loop including the longest supporting tree and the longest path is selected from the loops formed by the minimum supporting trees and the distribution point nodes as a main distribution route; return routes are provided for hanging nodes outside the main distribution route. With the adoption of the method an device, the distribution route is reasonable; the demand points are reasonably adjacently combined by a self-organization manner, and the task sub-maps are divided; therefore, the method and device are applied to large-scale distribution route planning, and can effectively reduce the distribution time and increase the distribution load factors.