61 results about "Logistics center" patented technology

An inventory management system for a fulfillment center that supports rapid scanning of inventory items using a handheld electronic device. The system comprises a processor, a non-transitory memory storing a plurality of inventory transaction tables, a data verification table, and a committed transaction table, an inventory application stored in the non-transitory memory that, when executed by the processor receives a plurality of scanned code inputs from a mobile application executing on a handheld scanner, writes each received scanned code input into an inventory transaction table, processes each received inventory transaction table, writes processed asset transactions to the data verification table, and in response to receiving a command to commit processed asset transactions, committing processed asset transactions to the committed transaction table.

The invention provides a cold storage type multi-temperature co-transportation path optimization method considering carbon emission under a time-varying road network, and the method comprises the steps: obtaining vehicle resources of a logistics center, and the product quantity and position information of a pickup place, and building a time dependence function of travel speed and a calculation function of carbon emission cost based on a current pickup transportation network; analyzing the satisfaction degree of the product quality based on the value loss generated in the process of driving from each pickup place to the logistics center; based on the calculation function of the carbon emission cost, a multi-objective optimization model with the purpose of minimizing the total transportation cost and maximizing the product satisfaction degree is constructed, and constraint conditions of a multi-temperature co-transportation path planning model are constructed based on vehicle resources and goods taking place information; and solving the multi-objective optimization model by using a two-stage optimization method combining K-means multi-dimensional clustering and a fast non-dominated sorting genetic algorithm to obtain the optimal departure time and transportation path. According to the method, the energy efficiency utilization rate in the cold chain transportation process is improved, and the distribution path planning is more scientific and reasonable.

The embodiment of the invention relates to the technical field of sorting, and discloses a sorting management method based on artificial intelligence, and the method comprises the steps: obtaining the real-time operation data of a physical logistics center; inputting the real-time operation data into an operation and maintenance large model, and generating a first operation and maintenance instruction by the operation and maintenance large model based on semantic understanding of the operation data; in the digital twin, executing a simulation operation based on the first operation and maintenance instruction to generate simulation operation and maintenance information; calculating systematic deviation based on the simulated operation and maintenance information and actual operation and maintenance information acquired from a physical logistics center; and generating and outputting a second operation and maintenance instruction subjected to deviation correction to the physical logistics center by the target large model so as to carry out sorting management operation. According to the method provided by the embodiment of the invention, the decision-making process is processed by the operation and maintenance large model and the target large model. The models perform semantic understanding and decision generation based on mass data and complex algorithms, so that sorting management is based on objective data analysis and model deduction, and the decision is more scientific, stable and quantifiable.

Disclosed are an electronic apparatus for managing logistics information and a method therefor. A logistics information management method performed by an electronic apparatus, according to one disclosed embodiment, may comprise the steps of: transmitting, to a first terminal of a seller, item order information comprising information about an ordered item and an intermediate logistics center; checking, through communication between the first terminal, and a second terminal of the intermediate logistics center, whether there is an error in a first procedure for item delivery from the seller to the intermediate logistics center; and when there is no error in the first procedure, checking, through communication between the second terminal, and a third terminal of the final logistics center, whether there is an error in a second procedure for item warehousing from the intermediate logistics center to the final logistics center.

A system for managing a motor vehicle parking area comprises a plurality of physical media bearing a unique identifier selected from among the group consisting of a barcode optical identifier, a QR code, or an RFID tag. Each physical medium is arranged on or in a motor vehicle. The system further comprises at least one camera for filming the vehicles, an analysis means running a program for analyzing the images sent by the camera to extract the unique identifiers, and a means for wireless communication between the analysis means and at least one human or robotic conveyor moving or transporting the vehicles associated with the unique identifiers, so as to send to the at least one conveyor a digital message indicating the destination address of the vehicle. A method may be employed using the system to manage the motor vehicle parking area.

The invention relates to the technical field of application of recuperating medicine boxes, in particular to a portable recuperating medicine box which comprises a tool storage layer and a medicine storage layer, the tool storage layer of the portable recuperating medicine box plays a role of a'logistics center 'in the recuperating medicine box, and tool grids and cup grooves are formed in the tool storage layer at the same time; the two requirements of'recuperating equipment 'and'medicine taking and water drinking' are integrated on the same horizontal level. The tool grid is a square deep cavity and exactly contains the tool carrying box, and the tool carrying box can be integrally drawn out and independently carried, so that required instruments only need to be placed in the box at one time before going out, repeated rummaging is not needed during subsequent multiple times of going out, and omission is avoided. The cup groove is located beside the tool grid, a user can directly take the cup and take medicine on the same side after completing operations such as blood pressure measurement and blood sugar measurement, the moving line is shortened, and the risk of instrument pollution caused by walking back and forth is reduced. Positioning sleeves are reserved at the four corners of the top face of the tool storage layer, and an inserting reference is provided for the upper medicine storage layer.

The invention relates to the technical field of controlled atmosphere transportation, and particularly discloses a controlled atmosphere transportation storage box which comprises a box body, a sealing door is arranged on the front face of the box body, a containing frame is arranged in the box body, an automatic feeding and discharging mechanism is arranged on the front face of the containing frame, and a plurality of containing plates are arranged in the containing frame. And automatic detection mechanisms are arranged at the inner top of the placement frame and the bottoms of the multiple placement plates. According to the food packaging box, through the arranged automatic feeding and discharging mechanism, food placed in the box body can be rapidly fed, the food in the box body can be rapidly taken out and discharged, fast feeding and fast discharging of the food are achieved, the opening time of a sealing door is shortened to the maximum extent, and the stable air conditioning environment is maintained; when the box body is used on a logistics center or a production line, the time consumption of single operation is reduced, the turnover frequency of a single box body is increased, and therefore the transportation or storage amount in unit time is increased.

The application discloses a method for selecting a logistics center based on a hybrid clustering algorithm, which comprises the following steps: step 1, combining the process of finding density extreme points of a MeanShift algorithm with the process of distributing non-density extreme points of a DPC algorithm to control the number of clustering; step 2, performing data cleaning on logistics center data; step 3, obtaining a real road site distance data matrix according to application data and by means of a third-party map platform; step 4, combining the real road site distance data matrix A according to step 1; step 5, establishing a joint model of clustering density extreme points and maximum express quantity data, and maximizing the express quantity within a threshold T and minimizing the sum of distances from sites to the density extreme points by means of a maximization algorithm; and step 6, fusing the processed MS-DPC algorithm with the joint model, and finally obtaining a prediction result of the address of the logistics center by means of model training and testing. The application solves the misclassification problem that may occur in the current hybrid clustering algorithm.

An inventory management method and a system are provided. An inventory management method according to one embodiment of the present disclosure is a method performed by a computing device, comprising: receiving a first request order quantity of a first logistics center for a product of a first inventory management unit and a second request order quantity of a second logistics center for a product of the first inventory management unit; receiving the storage capacity status of each of the first logistics center and the second logistics center and identifying the first logistics center whose storage capacity has been exceeded; subtracting a multiple value of the minimum transfer unit quantity of the product of the first inventory management unit from the first request order quantity and obtaining a first quantity; summing the first quantity and the second request order quantity and obtaining a second quantity that can be allocated to the second logistics center; and rounding the second quantity to a multiple value of the minimum transfer unit quantity and obtaining a final transfer quantity to be transferred to the second logistics center, wherein the second logistics center may be a logistics center whose storage capacity has not been exceeded.

This application discloses a box-packing device based on logistics transfer, including a conveying assembly. The conveying assembly includes a conveying mechanism at the top, with multiple sets of conveyor belts below the conveying mechanism moving in the opposite direction. A box-stabilizing mechanism is provided at the discharge port of the conveying mechanism. The device also includes a transfer assembly, which includes a transfer tray positioned near the discharge port of the conveying mechanism. A receiving rack is arranged in a circular array on the transfer tray, with a receiving groove on one side of the receiving rack. A limiting mechanism is provided inside the receiving groove, and a pushing mechanism and a lifting mechanism are provided inside the receiving rack. Thus, by placing the conveying mechanism at the top, combining it with multiple sets of conveyor belts below for flow diversion, and using a transfer tray with a circular array of receiving racks for box transfer, vertical space is effectively utilized. This device can significantly reduce the floor area occupied by traditional horizontal conveyor belt layouts, improve site utilization, and thus optimize the overall operational efficiency of the logistics center.

A logistics center system is provided. A logistics center system according to one aspect of the present specification comprises a first space in which an internal temperature is set to a first temperature, a second space in which an internal temperature is set to a second temperature which is higher than the first temperature, a control space formed between the first space and the second space, and a conveying means for conveying logistics between the first space, the control space, and the second space, wherein the internal temperature of the control space is set to a third temperature which is a temperature between the first temperature and the second temperature.

The present invention relates to a side loading / unloading dock leveler that is connected to a wing body truck in a logistics center or warehouse to compensate for the height difference between the loading space and the building, thereby increasing the efficiency of loading and unloading during logistics operations. This side loading / unloading dock leveler includes a fixed frame part installed in a groove of a side wall forming a floor surface on the upper side, a movable plate part pivotably hinged to the upper side of the fixed frame, a cylinder part that makes the movable plate part parallel to the fixed frame part when the piston rod advances and makes the movable plate part perpendicular to the fixed frame part when the piston rod retracts, and a control part connected to the cylinder part to supply hydraulic pressure to the cylinder part to advance or retract the piston rod.

The invention relates to the technical field of new energy system optimization, and discloses a new energy station and a hydrogen energy coordination method. The new energy station comprises a hydrogen production power generation center, a renewable energy power generation center, a logistics center and a control center. The control center is connected with the hydrogen production and power generation center, the renewable energy power generation center and the logistics center; and the hydrogen production power generation center is also connected with the renewable energy power generation center. Operation of the hydrogen production and power generation center, the renewable energy power generation center and the logistics center is coordinated through the control center, uncertainty of renewable energy output and truck demand is considered at the same time, and the energy utilization rate and the income of a new energy station are improved.

Disclosed is an item allocation method of an electronic device. The item allocation method comprises the steps of: acquiring, from a user terminal, information about a first order including information about one or more items; on the basis of inventory information for zone groups in a plurality of fulfillment centers, identifying, among the zone groups, a plurality of zone groups in which there is inventory of one or more SKUs corresponding to the one or more items; determining candidate zone groups corresponding to each of one or more SKUs among the plurality of zone groups on the basis of information about an expected arrival time corresponding to the plurality of zone groups, inventory information for the plurality of zone groups, information about the location of a fulfillment center including the plurality of zone groups, and information about a cost according to a packaging method set for the plurality of zone groups; and determining an allocation method for minimizing the number of parcels packed with the one or more SKUs and allocating the one or more SKUs to one or more of the candidate zone groups.

The present invention relates to a system (1) which provides security and traceability of devices (2) by tracking devices (2), finding lost devices (2), detecting the use of devices (2) outside the authorized area and preventing the use of unauthorized devices (2) through a private network that will be established in industrial factories, production facilities, logistics centers and similar large-scale enterprises that require data privacy.

The utility model relates to a liftable platform transport vehicle based on the Mecanum wheel omni-directional moving technology. Comprising a frame, a lifting structure, a scissor lifting mechanism, a driving device and a Mecanum wheel driving system. The lifting structure achieves lifting of the bearing plate through a scissor lifting mechanism, and stability in the article carrying process is guaranteed. The scissor lifting mechanism is composed of a plurality of transmission arms, a rotating shaft, a pulley and a driving shaft, lifting of the platform can be effectively controlled, and the unbalance or shaking phenomenon is avoided. Mecanum wheels are installed on the frame, omni-directional free movement can be achieved, space limitation caused by a traditional steering system is avoided, and higher flexibility and efficiency are provided. And the driving device drives the lifting process through the electric hydraulic cylinder, the precise control and quick response capabilities are achieved, and the high-precision carrying requirement is met. The transport vehicle can complete carrying tasks of various articles in a narrow space, and is particularly suitable for complex environments such as warehouses, production workshops and logistics centers.

The present application belongs to the field of multi-robot path planning, and specifically relates to a double-layer multi-robot path planning method based on state search and priority. The algorithm uses a deep-first search guided iteration framework in the upper layer to provide full-view planning, and uses a priority-based method in the lower layer to avoid obstacles. Meanwhile, the lower layer search adds a turning penalty factor in the single-robot path cost function to reduce the number of turns; combines priority inheritance and expands the time window considered when avoiding conflicts to reduce the number of conflicts; and pre-processes the map to search out narrow passages, which are regarded as mutual exclusion quantities, and only allow one robot to pass through to avoid the situation of avoiding after entering the passage. The present application has wide application value and can meet various tasks and constraint conditions, and has many practical applications in flexible manufacturing systems such as intelligent workshops, logistics centers, automated warehouses and the like. The present application has important significance for improving system efficiency and reducing system cost.

The invention aims to provide an online seller operation platform which can quickly, accurately and conveniently manage transaction information according to data forms required by brand companies and shopping malls. More particularly, the present invention provides an online vendor operation platform and a big data collection platform system used therefor, the operation platform collecting information including product information, price information, inventory information, and activity information, storing the information in a database, and according to the operator policy of a shopping mall, storing the information in the database in order to sell products. Commodity information, inventory information, price information and the like can be comprehensively sent to shopping mall enterprises, so that management is facilitated, shopping information is automatically collected when registered commodities are sold, the shopping information is uploaded to an order management program and then converted into a unified order format, and then the order format is provided for a logistics center. On the basis of shopping information, a logistics center packages a commodity sent to a customer, sends the packaged commodity to an express company, receives an express order number from the express company, sends the express order number to a brand company and a related shopping mall, and performs customer satisfaction evaluation on the basis of the express order number, so that commodity warehousing, sales, distribution, settlement and satisfaction evaluation can be performed.

An item allocation method of an electronic device is disclosed. The item allocation method comprises the steps of: obtaining information on a first order including information on at least one item; generating at least one piece of shipment information for packaging and delivering at least one stock keeping unit (SKU) corresponding to the at least one item in minimum parcels; allocating inventory in a first distribution center to one or more pieces of first shipment information having the earliest corresponding shipment finish time among the plurality of pieces of shipment information on the basis of information on a shipment finish time corresponding to each of the plurality of pieces of shipment information including the at least one piece of shipment information; and allocating inventory in the first distribution center to one or more pieces of second shipment information having the second earliest corresponding shipment finish time among the plurality of pieces of shipment information on the basis of information on a shipment finish time corresponding to each of the plurality of pieces of shipment information.

The present disclosure provides a server device comprising: one or more processors; and one or more memories in which instructions to be executed by the one or more processors are stored, wherein, when the instructions are executed, the one or more processors are configured to: acquire a generation request for a first packaging option for packaging one or more products; generate the first packaging option on the basis of the generation request; acquire, from a logistics center-side device, a transmission request for option list information including information about one or more packaging options; and transmit the option list information to the logistics center-side device in response to the transmission request, wherein the one or more packaging options include the first packaging option.

A method performed by an electronic device according to an embodiment of the present disclosure may comprise the steps of: identifying one or more products associated with a target logistics center; identifying, from among the one or more products, at least one first product for which an emergency flag is set and at least one second product for which the emergency flag is not set; and setting an emergency track for the at least one first product and setting a normal track for the at least one second product.

The invention discloses an airport luggage self-adaptive stacking system and method, and the method comprises the steps: obtaining luggage features through a LiDAR and an RGB-D camera, and constructing a real-time updated luggage-tray relation graph to explicitly encode spatial constraints and physical constraints; through meta reinforcement learning and GNN collaborative optimization, in combination with the rapid adaptive capacity of the MAML and the relation reasoning capacity of the GNN, the strategy can adjust the stacking sequence and path only through a small number of new task samples; a physical invariant adversarial network (PIAN) is introduced, visual features and dynamic features of simulation and reality are aligned at the same time, performance degradation during strategy migration is reduced, and zero sample adaptive capacity to a dynamic environment and unknown luggage configuration is achieved in luggage stacking. According to the invention, the tray space utilization rate, the luggage stacking stability and the operation efficiency are obviously improved, and the method is suitable for heterogeneous luggage processing scenes such as airports and logistics centers.

1. The name of the design product: multifunctional telescopic arm forklift. 2. The use of the design product: used for loading and unloading, stacking and transferring goods in construction, port, factory, logistics center and other occasions. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1. 5. The bottom of the design product is not easily visible or invisible during use, and the top view is omitted.

To provide an article sorting method capable of efficiently performing secondary sorting in a TC2 type distribution center.SOLUTION: Provided is a method for sorting articles, sorted for each kind, for each delivery destination, inside a TC2 type distribution center where a station 3, composed by installing predetermined number of frontages 31 with a shutter 33 assigned for each delivery destination in a state of being made as one set, is arranged. A robot 6 on which a predetermined article is loaded is sequentially stopped at staying positions 24, and, when a quantity of the articles on the basis of weight of the articles unloaded from the robot at the staying position coincides with a preset quantity, the robot can be moved to the next staying position, and the shutter of the predetermined frontage is opened, and, when a quantity on the basis of the weight of the articles put into the predetermined frontage from the articles unloaded at the staying position coincides with the quantity to be thrown into the predetermined frontage, the shutter of the frontage is closed.SELECTED DRAWING: Figure 6

A real-time credit evaluation and automated inventory-backed loan screening system based on logistics performance data is initiated. The real-time credit evaluation and automated inventory-backed loan screening system based on logistics performance data according to an embodiment of the present invention comprises: a data collection unit that collects incoming volume, incoming unit price, outgoing volume, selling unit price, inventory quantity, and inventory turnover rate in real time from a logistics center WMS; a data processing unit that calculates daily estimated sales revenue, cash conversion cycle, and inventory health indicators from the collected data; a credit evaluation unit that calculates a credit rating by summing the scores of six evaluation items—sales stability, profitability, inventory health, cash flow, business diversification, and growth potential—based on the calculated indicators; an inventory evaluation unit that selects inventory with a holding period of 90 days or less and a turnover rate of 80% or more of the industry average, and calculates the collateral value by applying a discount rate to the lower of the purchase price and market price of the selected inventory; and a loan screening unit that automatically calculates a loan limit based on the calculated credit rating and collateral value. The gist of the configuration is to include a risk monitoring unit that detects abnormal fluctuations in shipment volume, inventory volume, and margin rate in real time and generates an alarm after the loan is executed.

A method for managing storage allocation in a warehouse includes obtaining inventory data including SKUs, determining a sales velocity of each of the SKUs, generating a storage allocation plan that assigns each SKU to a particular storage system among a plurality of storage systems and a particular slot of the particular storage system based on at least one of the sales velocity of the SKU, the temperature zone of the storage system, or a capacity of a transportation device of the storage system, and transmitting the storage allocation plan to the transportation device to move products corresponding to the SKUs in accordance with the storage allocation plan.

The invention relates to an urban logistics space layout optimization method and system based on unmanned distribution vehicles, and the method comprises the following steps: determining the total journey of the unmanned distribution vehicles completing daily tasks according to the number of the unmanned distribution vehicles, the area of a service area, the distance from a logistics center to the service area, and the number of customer points; constructing a carbon emission level quantitative function model generated when the unmanned distribution vehicle serves each client point, and performing optimization by using performance parameters of the unmanned distribution vehicle; under the assumed condition that the logistics center is located in the geometric center of the service area, carbon emissions generated when unmanned distribution vehicles with different service radiuses and different types serve each client point are obtained; by adjusting the distance of the logistics center deviating from the geometric center of the service area, the influence of different site selection schemes on the carbon emission of the unmanned distribution vehicle is evaluated, and the optimal site selection position and service radius of the logistics center are determined. The related parameters in the logistics space layout are coupled with the performance parameters of the unmanned distribution vehicle, and the influence of the carbon emission level on the urban logistics space layout is optimized from the source.

A system is provided.SOLUTION: A system comprising: means for collecting a storage situation of a distribution center, the number of stocks, a securing situation of a driver, and a road situation and weather on a delivery day; means for performing learning using a generation model on the basis of the collected information and calculating an optimal price for each desired delivery date of a product; means for transmitting the calculated price information to a terminal and enabling a user to check and select a price for each desired delivery date; and means for receiving a price and order information for a selected desired delivery date and performing order processing.SELECTED DRAWING: Figure 1