50 results about "Transport time" patented technology

The invention discloses a blockchain-based inventory prediction and management system and method for cross-border e-commerce goods, and belongs to the technical field of inventory management. The method comprises the following steps: splitting alternative links according to the dimensions of a transportation mode and a transportation line, calculating the transportation time of each link, and constructing a transportation time set; based on the transportation time set, constructing an input feature matrix, training a convolutional neural network, generating an adjusted transportation time set, and screening an optimal link; generating a transportation list based on the optimal link; when the transportation list is confirmed to be executed, deducting the stock quantity of the SKU corresponding to the departure place warehouse; when the goods arrive at the destination area warehouse, updating the stock quantity of the SKU corresponding to the destination warehouse; obtaining the maximum daily purchase amount of the manufacturer, calculating the regional inventory demand priority, and formulating a purchase amount distribution rule; matching the optimal link with a purchase quantity distribution rule, adjusting the optimal link, and calculating an inventory turnover rate; and adjusting the daily purchase amount of the manufacturer based on the inventory turnover rate.

The invention relates to the technical field of transportation management, in particular to an intelligent transportation method and system based on multi-dimensional scheduling, and the method comprises the following steps: matching carrier requirements, screening qualified personnel to generate authority, detecting temperature control conflict to generate an adaptive identifier, generating a dynamic path in combination with department priority and congestion, and extracting a task chain calculation time consumption correction sequence. And screening the thermodynamic low backlog candidates to generate a redistribution instruction. According to the invention, through accurate matching of the type of the spring transport carrier and the waybill demand, dynamic permission allocation is carried out in combination with the position distance and the task completion rate, the resource utilization rate and the dispatching efficiency are improved, temperature control conflicts are detected, adaptive difference values are identified, the stability of the transport environment is ensured, the path is dynamically optimized based on the department priority and the congestion index, and the transport time is shortened. Task chain priorities and path rates are corrected, execution conflicts are reduced, transport capacity is dynamically allocated according to regional backlog, real-time data are integrated to optimize scheduling logic, manual intervention and path redundancy are reduced, and accurate resource adaptation and efficient transport execution are achieved.

The invention discloses a logistics information management system and method applied to cargo tracking, and relates to the technical field of logistics information management. Logistics attributes in various types of logistics information in logistics transportation records are extracted, the logistics records are classified according to the logistics attributes, transportation time rules of various types of logistics attributes in historical records are extracted, and the transportation time rules are classified according to the logistics attributes; the method comprises the following steps: acquiring and collecting attribute differences between any two logistics attributes, acquiring actual time of cargo transportation in an inner logistics path, performing accumulation on a difference value between the actual logistics time and a transportation time prediction value to calculate a time correction value, and correcting the predicted time of the cargo passing through the logistics path through the time correction value to obtain a time correction value. In a small-scale range, whether the logistics state deviates from the expectation or not is accurately predicted and tracked, the logistics prediction time is adjusted in real time, and the logistics state is finely managed.

The invention belongs to the technical field of fresh cold-chain logistics distribution, and particularly relates to a path optimization method and path optimization system for fresh cold-chain logistics distribution, and the method comprises the steps: planning a first path connected with a plurality of first nodes, and calculating a first deviation between the total transportation time of the first path and a preset standard transportation time; when the first deviation is greater than a first preset threshold value, generating a deviation information set serving as a first optimization result by calculating predicted sampling time of a plurality of first nodes and acquiring actual sampling time of the first nodes; updating the average deviation parameter based on the first optimization result to form a second deviation, and further generating a to-be-executed path based on the second deviation; according to the method, the deviation of the actual transportation time and the preset standard transportation time caused by accident factors in the distribution process can be responded in real time, and meanwhile, the punctuality rate of fresh cold-chain logistics distribution can be improved by continuously monitoring and adjusting and correcting the subsequent distribution plan.

The invention relates to the technical field of warehouse storage location management methods, in particular to a warehouse storage location management method oriented to intelligent distribution and path optimization. The invention discloses a warehouse storage location management method oriented to intelligent distribution and path optimization. The method comprises the steps of data acquisition and processing, total turnover quantity prediction, storage path planning, intelligent storage location distribution and placement scheme design. According to the invention, the number of carrying times required by each type of goods is calculated based on the basic data of each type of goods and the predicted total turnover amount, and the goods shelf closer to the entrance and exit of the warehouse is allocated to the goods with more carrying times, so that the driving distance and time of carrying equipment can be reduced to the greatest extent; therefore, the operation cost of the warehouse is effectively reduced, the overall operation efficiency and operation efficiency of the warehouse are improved, the driving frequency of the carrying equipment in the internal channel of the warehouse can be greatly reduced, the risk that the carrying equipment collides with a goods shelf or other equipment is remarkably reduced, and the storage safety of the warehouse is improved.

The invention discloses a carbon constraint logistics path planning method and system based on multimodal transportation, relates to the field of path planning, and is used for providing a logistics path planning solution which meets diversified requirements of modern logistics on transportation types and cargo types. The method comprises the following steps: acquiring cargo information, starting and ending point information and transportation preference information; excluding nodes and edges which do not meet cargo transportation requirements from a logistics network according to the cargo information to obtain a transportation network; respectively calculating the transportation time, the transportation cost and the carbon emission of each edge in the transportation network; and searching the transportation path with the minimum transportation cost from the transportation network. According to the method, the transportation time, the transportation cost and the carbon emission under different transportation modes are comprehensively considered, and the unit distance cost and the path weight are dynamically adjusted, so that the logistics path can be matched with the cargo transportation requirements and the transportation preference requirements, and the diversified requirements of modern logistics on transportation types and cargo types are met.

The embodiment of the utility model provides an AGV transportation frame. The AGV transportation frame comprises a supporting frame and at least two layers of storage baskets arranged on the supporting frame. The upper-layer storage basket is connected to the lower-layer storage basket in an openable manner; a plurality of limiting blocks are arranged on the bottom wall of the inner side of the storage basket at intervals, and a product to be transported is placed between every two adjacent limiting blocks. By arranging the at least two layers of storage baskets, chips can be placed in a layered and batch order, so that the transport frame can load more batches of chips at the same time, the transport frequency is reduced, the overall transport efficiency is improved, the quality between the batches of chips is ensured through physical isolation, and the independence between the batches of chips is ensured. A product to be transported is placed between every two adjacent limiting blocks, so that chips can be effectively fixed and prevented from moving or sliding off in the transportation process, the stable quality of the chips in the transportation process is ensured, and the high-standard production requirement is met.

A molding system includes: a composition applying unit configured to apply a composition on a substrate; a molding unit configured to perform a molding process by bringing a mold into contact with the composition; a transport unit configured to transport the substrate between the composition applying unit and the molding unit; a unit configured to calculate an expected value of an interval time from the applying of the composition to start of the contact; and a control unit configured to perform control such that a difference between an actual interval time and a target value of the interval time is less than a predetermined value by changing at least one of a timing of the applying, a transport waiting time, a transport time, and a contact waiting time if the difference between the expected value and the target value of the interval time is equal to or greater than the predetermined value.

The application provides a low-carbon multimodal transport network design method considering consignor path selection, comprising: obtaining freight demand data, multimodal transport network topology, parameters of each transport mode, network node transfer time and cost; obtaining consignor preference data covering all origin-destination points in the planning period, brand effect, utility coefficient of transport time and transport cost, low-carbon subsidy data; based on the obtained data, constructing freight flow batch transport constraints, low-carbon subsidy constraints, consignor path selection constraints and multimodal transport network constraints respectively; establishing an objective function for the purpose of pursuing lower carbon emission cost on the premise of not paying a large amount of low-carbon subsidies; under the constraints, using a particle swarm optimization algorithm embedded with CPLEX to solve the objective function to obtain a low-carbon multimodal transport network design scheme. The method can accurately depict the consignor path selection behavior and realize the dual improvement of transport efficiency and environmental benefit.

The application discloses an intelligent logistics supply chain wisdom management method and system, which comprises the following steps: collecting historical transportation time data of each path, calculating average transportation time and path historical fluctuation rate according to the obtained historical data; obtaining real-time data, calculating buffer duration according to the average transportation time and the path historical fluctuation rate, and dynamically adjusting the buffer duration according to the current road condition and time period; obtaining a predicted supply time and an actual time limit, calculating a fault tolerance time difference value according to the predicted supply time and the actual time limit, and dividing a risk level according to the fault tolerance time difference value; taking the calculated buffer duration as a correction factor to correct the fault tolerance time difference value, adjusting the priority according to the corrected fault tolerance time, and through the buffer duration mechanism, short-term fluctuations are absorbed, resource allocation confusion is avoided, long-term trends are still captured, the frequent change of priority caused by temporary road condition change is effectively reduced, and the stability of the whole distribution system is improved.

A computer-implemented method includes receiving information of a logistics network representing a factory and associated suppliers of parts, evaluating a first transit time required to receive parts across the logistics network, for each supplier of the associated suppliers creating a digital copy of the logistics network in which a node connecting the supplier to the factory is removed from the digital copy of the logistics network, evaluating a second transit time required to receive parts, for a supplier of the associated suppliers having an impact metric above a threshold identifying a substitute supplier that ships to the factory in the logistics network, and in an event of failure of a given node in the logistics network, replacing in the logistics network a given supplier that uses the given node to ship to the factory and that has an associated impact metric above the threshold with the substitute supplier.

The present invention discloses a multimodal transport inventory resonance management method, medium and equipment based on dynamic rules. The method includes: classifying and collecting raw data and preprocessing it into standardized intermodal transport data; constructing a transport time prediction model based on the preprocessed second transport state parameter to extract dynamic transport characteristics, and performing spectral analysis on the second inventory level parameter to obtain inventory cycle fluctuation characteristics; extracting the resonance coupling characteristics of the second transport state parameter and the second inventory level parameter through time-frequency correlation analysis and establishing a feature coding library; constructing a mapping relationship network between transport mode switching rules and inventory adjustment strategies based on the above characteristics; establishing a resonance control parameter conversion relationship between a baseline transport scenario and a target transport scenario; and finally constructing a multidimensional resonance management knowledge base. The present invention realizes the coordinated control of transport delays and inventory fluctuations under multimodal transport, effectively suppresses the supply chain resonance effect, and improves the system's responsiveness and stability.

The application discloses an automatic feeding and discharging device and method for optical lenses, relates to the technical field of optical lens feeding and discharging, and solves the technical problem that the current automatic feeding and discharging and detection device for optical lenses has a long transportation time, and the efficiency and the yield are reduced. The device comprises a feeding module, a transfer module, a microscopic detection module and a discharging module. The feeding module transports at least one optical lens to the transfer module. The transfer module transfers at least one optical lens to the microscopic detection module for good product detection, and then transports the optical lens to the discharging module. The discharging module arranges the optical lenses that pass the detection and the optical lenses that fail the detection on different plates. The application reduces the risk of pollution or loss of the optical lenses during transportation, and improves the yield.

To suppress deterioration in conveyance efficiency of a facility as a whole.SOLUTION: An article conveyance facility includes a control system that gives, to a conveyance vehicle, conveyance commands specifying a conveyance origin and a conveyance destination of articles. The control system is configured to execute: predicted conveyance time deriving processing of deriving predicted conveyance time for each of a plurality of candidate routes 90; and route selection processing of selecting, from among the plurality of candidate routes 90, the conveyance route 90 where the conveyance vehicle is caused to run. The control system preferentially selects, as the conveyance route 90, the candidate route 90 in which predicted conveyance time Tp is within a reference range Rt in the route selection processing for the candidate route 90 whose target conveyance destination is the conveyance destination.SELECTED DRAWING: Figure 6

The invention discloses a WMS-based warehouse intelligent management method and system, and belongs to the technical field of warehouse intelligent management, and the method comprises the steps: constructing a cargo-storage location adaptation model, and integrating the dryness, temperature and load bearing to output the cargo-storage location adaptation degree; establishing a cargo emergency state model, and generating a cargo emergency state coefficient in combination with the shelf life, the shipping frequency and the demand quantity; designing a path efficiency model and a path risk model, and outputting a path efficiency coefficient and a path risk coefficient; generating a path state coefficient based on the path efficiency coefficient and the path risk coefficient, and calculating a cargo-storage location-path matching degree in combination with the cargo emergency state coefficient and the cargo-storage location adaptation degree; and finally, the reference transfer time is optimized through the cargo-storage location-path matching degree, and the target transfer time is output. According to the method, the problems of decision splitting and risk assessment deficiency in the prior art are solved, and global collaborative optimization of the storage elements and accurate control of the transport time efficiency are realized.

The invention relates to the technical field of resource planning, in particular to an intelligent logistics tracking system driven by the Internet of Things, which comprises a positioning time sequence module, an aging verification module, a path resource module, a path evaluation module and a path optimization module. According to the method, the cargo displacement distance and the transportation duration are synchronously associated to form a tracking state capable of reflecting the advancing rhythm change, and the remaining time is continuously calculated around the delivery time limit, so that the aging pressure sensing in the transportation process is realized; on this basis, unified verification is carried out on storage capacity loading and unloading waiting and passing time consumption of multiple connectable paths in combination with the current position, comparative analysis is carried out on path time occupation and remaining time, and meanwhile continuous cycle time consumption fluctuation evaluation is introduced, so that limited risks are dominated in advance, and the accuracy of the system is improved. Therefore, weight distinguishing and sorting optimization of feasible paths are supported, and the probability of scheduling mismatch and resource waste of adjacent delivery nodes is reduced.

A rejection device includes a detection sensor that detects an article, pressurization point setting means for setting an essential pressurization point of the article by using a distance from a front end of the article and a transport time corresponding to a transport speed for each type of the article by a compressed air, a management timer that manages a rejection delay time set by using a delay time from a detection time point when a rear end of the article is detected by a detection sensor to a time point when the essential pressurization point enters a discharge bias section, and rejection command means for inputting a rejection command signal to the rejection unit for a predetermined command time from a time-up time point of the management timer.

The invention discloses an intelligent logistics management method based on multimodal transport digital development, and belongs to the field of logistics, and the method comprises the following steps: carrying out the digitization of the size of a cargo and transportation tool loading space before the transportation is started, building a database, and carrying out the digitization of the size of the cargo and transportation tool loading space; the data recorded in the database comprises cargo parameters and transportation tool loading space parameters; according to the technical scheme of the invention, based on the database, digital trial assembly is carried out on the to-be-transported goods through virtual simulation, and the method has the following beneficial effects: before the goods are transported, the digital trial assembly is carried out on the to-be-transported goods through virtual simulation based on the established database, so that a final transportation scheme is obtained. A transportation route, a transportation tool, a cargo loading position and a specific reinforcement scheme are determined before transportation, secondary loading and unloading requirements caused by load changing in the midway of transportation can be effectively avoided through preposed decision making, the loading and unloading operation complexity is reduced, the transportation time cost is reduced, and meanwhile the cargo damage risk is reduced.

The invention discloses an intelligent logistics supply chain intelligent management method and system, and the method comprises the steps: collecting the transportation time data of each historical path, and calculating the average transportation time and the historical path volatility according to the obtained historical data; acquiring real-time data, calculating a buffer time length according to the average transportation time and the historical fluctuation rate of the path, and dynamically adjusting the buffer time length according to the current road condition and time period; obtaining predicted supply time and an actual time limit, calculating a fault-tolerant time difference value according to the predicted supply time and the actual time limit, and dividing risk levels according to the fault-tolerant time difference value; according to the method, the calculated buffer duration is used as a correction factor to correct a fault-tolerant time difference value, the priority is adjusted according to the corrected fault-tolerant time, short-term fluctuation is absorbed through a buffer duration mechanism, resource allocation disorder is avoided, long-term trend is still captured, frequent priority change caused by transient road condition change is effectively reduced, and the fault-tolerant time difference is effectively improved. And the stability of the whole distribution system is improved.

The invention provides a scheduling method for underground mine rail transportation equipment, which comprises the following steps of: constructing a scheduling optimization model taking minimum transportation cost, maximum transportation ore grade and minimum transportation time as targets, solving the scheduling optimization model in combination with scheduling constraint conditions, and generating an initial transportation task plan; setting a mutual exclusion resource lock mechanism based on a resource mutual exclusion relationship between a transportation path and a loading and unloading point, performing scheduling simulation on the initial transportation task plan based on the mutual exclusion resource lock mechanism, simulating state changes in the transportation process of the electric locomotives, and dynamically calculating the transportation time of each electric locomotive; and optimizing the initial transportation task plan based on the determined transportation time, and generating a final scheduling scheme.

To shorten the transport time by transporting wafers that have a ring-shaped protrusion on the outside of a recess. [Solution] The robot hand (50) suctions and holds a wafer (200) which has a recess (202) in the central part of its back surface (201) and a ring-shaped protrusion (203) outside the recess. The robot hand is configured to include a protrusion suction unit (65) that sucks up the protrusion on one side, and a support unit (66) disposed to the side of the protrusion suction unit to support the protrusion suction unit. The robot hand (50) is mounted on a robot (18), and under the control of a control unit (57), the protrusion suction unit sucks up the protrusion of the wafer and transports the wafer from the cleaning unit (39) to the cassette (15) of the cassette stage (13).

The utility model belongs to the technical field, and particularly relates to a coating machine which comprises a workbench, two conveying mechanisms mounted on the workbench, a coating mechanism and a transfer mechanism, the two conveying mechanisms are distributed side by side, and the coating mechanism is located above the two conveying mechanisms. The transfer mechanism comprises a transfer linear module and a transfer conveying assembly. The transfer linear module is located at one ends of the two conveying mechanisms, the transfer conveying assembly is arranged on the transfer linear module and reciprocates between the two conveying mechanisms, products to be machined are placed on the transfer conveying assembly, the transfer linear module drives the transfer conveying assembly to move to one conveying mechanism, and after the products are transferred to the conveying mechanism, the products are conveyed to the other conveying mechanism. And meanwhile, a next product to be processed is placed on the transfer conveying assembly and transferred to the other conveying mechanism, after the coating mechanism processes the product of one conveying mechanism, the product of the other conveying mechanism is processed immediately, waiting for the product transportation time is not needed, and the processing efficiency is improved.

An apparatus and method for line haul logistics management, the apparatus including a processor and a memory communicatively connected to the processor. The memory includes instructions configuring the processor to receive a transport request including transport data, generate projected transportation data based on the transport data, receive progress data associated with the transport, calculate a deviation index based on the projected transportation data and the progress data, determine an updated transport schedule as a function of the deviation index, generate a user interface data structure including the updated transport schedule and the progress data, and transmit the updated transport schedule and the user interface data structure. The apparatus also includes a GUI communicatively connected to the processor configured to receive the user interface data structure including the updated transport schedule and the progress data and display the updated transport schedule.

A medium transport device includes a transport section configured to transport a medium and a control section that controls the transport section; wherein the transport section includes a first transport section that transports the medium and a second transport section that transports the medium downstream of the first transport section. The control section selects a transport speed of the medium by the second transport section from a plurality of types of predetermined corrected transport speeds based on a difference between an arrival time of the medium to a predetermined position downstream of the first transport section and a reference arrival time. The control section calculates a corrected transport time for transporting the medium at the corrected transport speed based on the difference and the selected corrected transport speed.

An article transport facility is provided with a control system that gives a transport command that specifies a transport source and a transport destination of an article to a transport vehicle. The control system is configured to execute: a predicted transport time derivation process for deriving predicted transport times for each of a plurality of candidate paths (90); and a path selection process for selecting, from among the plurality of candidate paths (90), a transport path (90) on which the transport vehicle travels. The control system preferentially selects, as a conveyance path (90), a candidate path (90) for which the predicted conveyance time (Tp) is within a reference range (Rt) in a path selection process for a candidate path (90) for which the target conveyance destination is the conveyance destination.

The invention discloses a material transfer method, system and device and a storage medium. The method comprises the following steps: acquiring position information of a material terminal; the material terminal corresponds to a target material; determining a trigger notification point corresponding to each station client; the trigger notification point is a trigger point which is set for the transportation position or the transportation time of the target material and needs to be reminded, and the station client corresponds to a station on a transportation path; if the position information is consistent with a first trigger notification point, sending a reminding notice that the target material arrives at a station to a first station client through a 5G core network, so that the first station prepares for material transfer; the first trigger notification point corresponds to the first station client. According to the method, intelligent reminding of the material position can be achieved, preparatory work is executed on material transferring in time, the material transferring efficiency and accuracy can be improved, and the method can be widely applied to the technical field of intelligent logistics.

The present invention relates to a tool magazine, a machine tool with such a tool magazine, and a method for changing tools in this machine tool, in which the tool location occupancy can be optimized during operation with regard to the resulting waiting times and cycle times of the machine tool. A basic idea of ​​the invention is to utilize the transport paths already required for clearing a previously used tool to transport this tool to a suitable location—a preferred location with shorter transport times—in order to gradually reduce future waiting times of the work spindle.

The present application relates to the technical field of warehouse logistics scheduling, and particularly relates to a warehouse logistics digital scheduling method and system based on cloud computing. The method comprises the following steps: receiving a goods scheduling task issued by a warehouse management cloud platform, identifying the current position, volume and weight of the goods to be scheduled in the warehouse scheduling task; allocating a transport vehicle according to the current position, volume and weight of the goods to be scheduled; calculating the transport operation load and the estimated time consumption of the transport operation based on the transport vehicle allocation result; dividing the transport operation vehicle allocation result into a transport operation wave set using the mobile operation load, and dynamically coordinating the transport operation path in the transport operation wave set, which has an estimated time consumption of the transport operation exceeding a preset transport time tolerance range, with the adjacent transport operation path, to obtain a to-be-executed transport operation wave set; and uploading the to-be-executed transport operation wave set to the warehouse management cloud platform. The present application helps to improve the timeliness, stability and overall operation efficiency of warehouse logistics scheduling.

The present invention discloses a method, device, equipment and storage medium for transporting and analyzing concrete. The method includes: in response to a user's operation of loading concrete into a vehicle, obtaining real-time proportioning information of the concrete and matching the longest transportation time of the concrete; transmitting the longest transportation time to the vehicle transporting the concrete, and the longest transportation time starts to decrease at a countdown rate; within the remaining duration of the longest transportation time, obtaining the real-time temperature of the concrete at intervals of a first preset duration and obtaining the difference between the current real-time temperature and the previous real-time temperature, and determining whether the difference is greater than or equal to zero; if so, reducing the remaining duration according to a first preset ratio; determining whether the remaining duration reaches a preset warning duration, and if so, generating a warning signal and sending it to an external receiving end. The present invention adjusts the remaining duration according to the real-time temperature of the concrete, which is convenient for users to optimize the route and speed, avoid the concrete from initial setting before the concrete pouring is completed, and ensure the good product rate of the concrete.

The present invention discloses a cargo management method for air logistics, which belongs to the technical field of cargo management and specifically comprises the following steps: obtaining a target address of cargo to be transported, selecting a number of cargo airports within a radius circle where the target address is located, and marking them as pending airports; obtaining all cargo to be transported having the same list of pending airports, marking them as cargo of the same batch, collecting the departure and arrival times of the earliest cargo flights between the departure airport and any pending airport, and calculating the expected arrival time of the cargo to be transported at any pending airport according to the departure and arrival times; respectively counting all cargo routes between any pending airport and all sorting centers, screening the cargo routes according to the predicted transport time and the nuisance index, and obtaining an optimal route; calculating the overall transport time from any pending airport to all sorting centers, and determining the pending airport with the shortest maximum overall transport time as the target airport for the cargo of the same batch. The present invention reduces the time and economic cost of logistics distribution.