2691results about How to "Improve distribution efficiency" patented technology

A source computer 8 stores updated data that is to be distributed to a plurality of destination computers (12 to 30). The destination computers (12 to 30) are divided into groups sharing a common priority level (5, 4, 3, 2, 1). Each of these groups is then associated with a push update task to be executed by the source computer 8. These push update tasks are then sequentially executed. If a particular group of destination computers exceeds a threshold size, then it may be further divided in accordance with a hierarchy of splitting rules. The push update tasks use multicasting to transfer the update data to the destination computers within their groups in a manner that reduces network traffic.

The invention relates to a high-efficient logistic scheduling system and method. The high-efficient logistic scheduling method comprises the following steps: a vehicle scheduling center confirms a vehicle, which meets information characteristic elements of cargos to be scheduled according to information of cargos to be scheduled, as a scheduling object; the vehicle scheduling center confirms a corresponding scheduling strategy according to the information of cargos to be scheduled so as to generate scheduling information; the vehicle scheduling center sends the scheduling information to a wireless vehicle terminal through a wireless communication module; the wireless vehicle terminal receives the scheduling information, and sends a reply of a driver to the vehicle scheduling center; and after a positive reply is received from the wireless vehicle terminal, the vehicle scheduling center sends the characteristic information of the present scheduling task undertaker to a client. The vehicle scheduling system disclosed by the invention comprises the vehicle scheduling center and the wireless vehicle terminal. By adoption of the high-efficient logistic scheduling system and method disclosed by the invention, the vehicle scheduling center can plan an optimal driving path and an optimal cargo loading vehicle, so that the transportation efficiency is improved, and the transportation cost is reduced.

The invention discloses an information processing method, a server and a logistics terminal. The processing method include: receiving an inquire request sent by the logistics terminal; determining target order information corresponding to an authentication logo and containing a delivery address which uses a current position of the logistics terminal as a center and is in a delivery distance threshold value range in at least one order which is prestored; feeding decided target order information back to the logistics terminal; and pushing on-line prompt information to corresponding order user terminals according to order user accounts in target orders after arrival notice instructions sent by the logistics terminal are received. After logistics staff arrive at a delivery plate, a plurality of order users in specific delivery areas can be informed simultaneously according to a mode that the server pushes information to order user terminals, every order user does not need to be informed to take delivery of goods by phone, and purposes of improvement of goods delivery efficiency and reduction of delivery cost are achieved.

The invention provides a vehicle-express delivery cabinet-unmanned aerial vehicle-based express delivery method. According to the method, express items to be delivered are orderly placed in an express delivery cabinet on an intelligent transport vehicle; after the intelligent transport vehicle reaches a destination based on a planned route, recipients are informed to pick up the express items from the vehicle-mounted express delivery cabinet; if the recipients cannot come to pick up the express items and demand that the express items should be delivered via an unmanned aerial vehicle, a vehicle-mounted controller controls an inner cabinet door of the express delivery cabinet to open, a minisize piler is controlled to take the express items from the express delivery cabinet to a cargo pickup opening of the unmanned aerial vehicle, and at last the unmanned aerial vehicle picks up the express items and completes final delivery. The delivery and transport method designed in the invention is based on combination of the intelligent automobile and the express delivery cabinet and/or the unmanned aerial vehicle; consumption of resources such as labor force, vehicles, fuel and the like can be reduced; express delivery efficiency in remote areas can be improved.

An improved system and method for a computer-implemented auction in which multiple types of items are auctioned together without imposing a particular division of supply or demand among the individual types of items. In some embodiments the auction of the present invention provides a means or method for establishing prices for the types of items, wherein the prices maintain a relationship. In other embodiments, the present invention provides a means or method for implying prices from price parameters in the bids received form bidders, based on a relation among the prices for the types of items. Market clearing may be defined by the condition that the aggregate quantity bid for all types of items is less than or equal to the available quantity of all types of items. The division among the types of items within is thus determined flexibly, based on the bids at the associated prices. In other embodiments, market clearing is defined by the condition that the quantity bid for one selected type of item is less than or equal to the available quantity of the selected type of item. The quantities of the other types of items are thus determined flexibly, based on the bids at the associated prices.

The invention discloses an intelligent order scheduling method. The intelligent order scheduling method comprises the following steps: obtaining a new order; obtaining geographic positions of a user and a merchant according to information in the new order; calculating a distribution distance between the geographic position of the user and the geographic position of the merchant according to the geographic position of the user and the geographic position of the merchant; monitoring electric vehicle data uploaded by a distribution worker electric vehicle monitoring system, and calculating a pre-estimated driving distance of an electric vehicle of each distribution worker; and carrying out intelligent distribution of the order according to the data. The invention further provides an intelligent order scheduling server, the electric vehicle applied to the intelligent order scheduling method, a mobile terminal applied to the intelligent order scheduling method, and a system applied to the intelligent order scheduling method. By the aid of the intelligent order scheduling method and server, the electric vehicle, the mobile terminal and the system, the short-distance and in-time distribution can be efficiently finished.

The invention provides a load balancing device and a load balancing method both of which can improve resource distributing efficiency while can balance the service distribution of servers and flow distribution of a route. The services are divided into a plurality of service blocks according to the server resource requirements and network transmission resource requirements of the services, spare server resources and spare network transmission resources of a data center network are divided into a plurality of resource blocks, the spare server resources and the spare network transmission resources of the data center network are monitored, a corresponding relation between the combination, specific to a server, of the spare server resources and the spare network transmission resources and the resource blocks is set, the service block to which the request requirement entering the data center network belongs is identified, and the combination of the spare server resources and the spare network transmission resources is distributed to the service request based on the corresponding relation between the service block and the corresponding resource block.

A system is disclosed that comprises a processor, and logic executable by the processor. The logic is configured to cause the processor to perform a method comprising receiving at least one attribute of a condition of a good, and using the at least one attribute to calculate an actual Intelligent Routing (IR) code for the good. Further, the method comprises calculating and storing a target IR code for each of at least two receivers, and comparing the actual IR code for the good to the target IR codes for each of the at least two receivers. Finally, the method comprises determining, based on the comparison of the actual IR code for the good to the target IR codes for each of the at least two receivers, which receiver of the at least two receivers will receive the good.

The invention relates to method for prefetching content from multisource by an edge routing node of a content central network and the edge routing node. The method includes: judging whether a data packet arrives the first time or not; if so, inquiring whether the node caches corresponding contents or not; and if not, judging whether the contents satisfy conditions for starting multisource prefetching or not, and if so, performing multisource prefetching. The multisource prefetching includes: inquiring which routing nodes caches the contents, by the edge routing node, parallelly acquiring different blocks of the contents from a content source server of the content central network and routing nodes cached with the contents. Multisource prefetching is started on the basis of size of contents, parallel prefetching proportion is set on the basis of available link bandwidth, route path of newly increased routes fields can be appointed, utilization efficiency of network resources is improved, and distribution and acquisition efficiency of contents are improved.

The invention discloses an order processing method and a device. The order processing method comprises steps of obtaining a new order, generating an available order delivery sequence of each delivery unit on the basis of the available order information of each delivery unit for delivering the article related to the order, generating time changing information and delivery distance changing information which are related to a delivery unit execution order after the new order is inserted into the available order delivery sequence for each delivery unit, and choosing one delivery unit from the plurality of delivery units to execute the new order on the basis of the time changing information and the delivery distance changing information. The order processing method realizes the order reasonable distribution and improves the efficiency of delivering articles.

The invention discloses a memory management method. The method comprises the following steps of: creating a memory pool comprising a plurality of memory groups, wherein the memory blocks in the same memory group are the same in size and idle memory blocks are sequentially linked into an idle memory linked list, and memory blocks in different memory groups are different in size; selecting a first memory group according to the size of a requested memory when a memory allocation request is received, and allocating a first memory block in the idle memory linked list of the selected first memory group to a memory requester; and selecting a second memory group according to the address of a memory required to be released when a memory release request is received, and linking the memory block which is required to be released and is taken as the first memory block into the idle memory linked list of the second memory group. The embodiment of the invention also provides a corresponding memory management system. In the method disclosed by the invention, the memory is allocated or released in the corresponding memory group, thus no memory fragment is produced and the memory allocation efficiency can be improved.

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 construction optimizing and operating method of an automatic fixed-point picking-up system of a logistics express. A system optimizing scheme containing a picking-up machine layout, a customer demand point attribution division and an express delivery line is generated according to the geographical position, demand amount and relevant logistics cost of a demand point of city express customers. When the system operates, a delivery center classifies expresses according to an automatic picking-up machine service range of the delivery center and the expresses are delivered by delivery workers according to an optimized delivery line scheme; and meanwhile, picking-up information is sent to the customers. After the customers pick up the expresses, the information is fed back to the delivery center by a picking-up machine so as to finish the whole express delivery task; otherwise, the customers are manually called to pick up the expresses; and if the customers cannot be contacted, the expresses are sent back to sending places to finish the delivery task. By virtue of the operation of the system, the abutting problem of time and space of the delivery workers and picking-up persons can be effectively solved in the express delivery process, so that the express delivery cost is reduced, the whole efficiency is improved, and the low carbonization and greening of the logistics express are realized.

The invention discloses a method, a device and a base station for distributing sounding reference signal (SRS) resource in a long term evolution (LTE) system. Before distributing SRS for user equipment (UE), uplink sounding reference signal information (SRS) is divided into a plurality of SRS secondary resources in advance, and a plurality of SRS secondary resource collections are formed, wherein the SRS secondary resources in the identical SRS secondary resource collections are provided with identical resource allocation. The method of distributing SRS resource includes the following steps of ascertaining the SRS secondary collections which are used for distributing the SRS resources for the UE according to access requirement information transmitted by the UE, and distributing the SRS secondary resources capable of being distributed in the ascertained SRS secondary collections to the UE. According to the method, the device and the base station for distributing (SRS) resource in the LTE system, complexity of distribution of the SRS resource can be reduced, search time capable of being used for the distribution of the resource can be shortened, and therefore time of the base station to distribute the SRS resource to the user equipment (UE) can be saved and distribution efficiency is improved.

The invention discloses a data storage method. The method comprises the following steps of dividing the to-be-stored data into a plurality of data sets; enabling each data set to establish a mapping relationship with a corresponding server node through a virtual storage space domain and a Harsh algorithm, namely storing each data set into the server node which has the mapping relationship with the data set. The automatic storage of massive data in a distributed real-time database system is realized, the data distribution workload of workers is reduced, and the distributing efficiency during data storage is improved. The invention also discloses a data inquiry method and a data storage system.

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 provides a task intensity dynamic adjustment based multiple robots cooperating task hunting allocation algorithm, which belongs to the technical field of task allocation. The method comprises group searching, hunting model building and task allocation strategies. According to the invention, the conception of hunting experience obtained from an intensified learning method is introduced into a task allocation algorithm; the method can make dynamic adjustments to an initial task allocation scheme obtained from an auction algorithm so that the method can better adapt to a dynamic changing hunting environment and reduce the communication quantity and calculation quantity among systems. In the task allocation auction algorithm, the solutions for the cost function for a bidding robot are optimized, and the conception of task intensity is raised. As a result, task allocation efficiency for a multiple robots cooperating system is improved while cost is reduced.

The invention discloses a real-time material distribution method in a mechanical product assembling process, which is characterized in that: according to the production plan on the same day, calculating to obtain all required parts; by considering the storage capability, the existing amount, the material lead time and the product cycle time of each part on each station, calculating a material distribution scheme; distributing the parts in time on small batches according to the obtained distribution scheme; simultaneously, tracking the on-site production situation by an MES system in real time; recording manufacturing product situation and the material consumption situation of each station; and timely feeding back production plan information and station inventory information. The method of the invention can realize on-time material distribution, feeds back and adjusts the distribution scheme in time according to real-time working condition, can improve production efficiency and lowers product cost.

The art relates to information distribution service providing technology. The server system predicts the distribution state of mobile information terminals in the future, based on the location information of mobile information terminals and change over time in the distribution state of service users (mobile information terminals) with a specific user characteristic in an information distribution object area. Based on the prediction, the server system carries out information distribution. This makes it possible to improve information distribution efficiency.

The invention relates to a method and a device for monitoring commodity identity and credit in commodity circulation based on the Internet of things, and solves the problem that the commodity identity and credit are difficult to monitor. In the method, an anti-forgery identification code label is arranged on each commodity, anti-forgery identification code information on the commodities is acquired or edited, original commodity information in anti-forgery identification codes is transmitted to a remote server and an identity and credit management database by using a communication network, proprietary identity and anti-forgery identification code readers of users are used for acquiring the identity and anti-forgery identification code information on the commodities in all circulation links after delivery, and transmitting the information to the remote server and a core database, the remote server compares the two kinds of anti-forgery identification codes, and transmits comparison results or processed information to relevant communication terminals, and the remote server also transmits the comparison results or the processed information to communication terminals of other users according to a protocol. The method and the device have the advantages that the informatization of monitoring the commodity identity and credit in the production and circulation can be realized at the minimum cost, and the difficulty of monitoring the commodity identity and credit is significantly reduced.

The invention discloses an application method of internet of things, an unattended self-service terminal, a turnover box device and a distribution vehicle which assist achievement of the application method of internet of things, and a method of achieving accurate logistics on the basis. The unattended self-service terminal, the turnover box and the method of achieving accurate logistics are capable of lowering logistics cost of matching service points such as merchants and manufacturers, besides, can overcome last mile bottleneck in logistics, and improve logistics distribution efficiency and logistics service quality to form an accurate logistics distribution mode, and consequently can provide common people with a life service which is complete, fast, convenient and traceable. The accurate logistics distribution mode is of great value to information construction of whole logistics industry and bringing convenience and benefits to people.

The invention relates to a commodity distribution path planning method based on an MoCD algorithm (multi-object constraint algorithm based on Dijkstra algorithm), which includes the following steps of: firstly taking intersections or endpoints of roads as nodes and building a model of an urban road network according to actual urban road conditions; secondly determining commodity price information, and screening manufacturers which accord with commodity sending destinations; then selecting the manufacturers according to the required commodity number and the manufacturer stock quantity, and a supply and demand scheme which has multiple manufacturer combinations so as to satisfy required commodity quantity existing; and finally planning an optimal path by using the Dijkstra algorithm based on manufacture geographic positions and vehicle positions determined in the last step, and using a step by step search method to improve the search efficiency of the invention algorithm. The transport cost is saved, and the vehicle loading rate and the distribution efficiency are improved by planning the optimal path.

A system, method and device for controlling and modifying the current drawn by an electrical load in a way that will improve the electrical power factor and harmonic quality of at least a portion of an electrical power system. In one embodiment of the invention, the invention includes a controller device that monitors the electrical current entering a site and modifies or corrects power quality of the current by directing how power will be consumed by the appliances at a site to improve the harmonic and power factor qualities of the electrical current entering the site.

A distributed storage-based file delivery system and a distributed storage-based file delivery method are provided. The system comprises: a scheduling server; at least one source group, where each source group include a plurality of distributed file storage clusters, and each distributed file storage cluster include a plurality of data nodes. The scheduling server is configured to, according to operators of the distributed file storage clusters and load information of each data node, perform task scheduling based on a received task, and generate task instructions, where the task is received from a client or a data node. The data nodes to which the task instructions are directed are configured to execute the task and/or perform task distribution according to the task instructions, such that data within all distributed file storage clusters in a same source group remains synchronized.