20 results about "Information logistics" patented technology

The invention discloses a lottery logistics management method, device and equipment, a medium and a product, and relates to the technical field of data processing, the method comprises the following steps: collecting lottery sales data, lottery inventory data, distribution demand information and distribution vehicle load; inputting the lottery sales data into a pre-constructed sales volume prediction model to obtain a lottery sales prediction quantity in a preset time period; determining target lottery inventory data and supplementary lottery inventory data according to the lottery sales prediction quantity and the lottery inventory data; inputting the lottery target inventory data, the delivery demand information and the delivery vehicle load into a pre-constructed logistics planning model to obtain logistics planning information corresponding to the target delivery demand of each lottery sales point; the logistics planning information at least comprises the distribution lottery ticket type, the distribution lottery ticket number, the distribution vehicle and the distribution time corresponding to each lottery ticket sales point, and the lottery ticket distribution delay condition can be avoided, so that the lottery ticket can be normally sold.

The present application discloses a three-dimensional warehouse and storage and retrieval system for containers. The three-dimensional warehouse includes storage racks, a moving mechanism, pallets and lifting channels. The storage racks have multiple storage spaces, the pallets are used to carry containers, and the moving mechanism drives the pallets to move. The storage and retrieval system includes a three-dimensional warehouse, a logistics transportation area, a transfer mechanism and a management module. The logistics transportation area is used to park transportation vehicles, the transfer mechanism transfers containers, and the management module manages the container out of the warehouse or in of the warehouse. The container is transported from the three-dimensional warehouse to the logistics transportation area through the transfer mechanism, and the management module manages the container out of the warehouse or in of the warehouse, realizing three-dimensional storage and retrieval of the container, and reducing the storage and retrieval inconvenience caused by the existing container stacking. On the other hand, the present application discloses a container entry and exit method. According to the entry or exit of the container, the information collection unit collects corresponding information, the logistics management unit manages the corresponding information, and the access control unit controls the entry or exit of the container.

The invention provides a medical supply chain multi-level collaborative intelligent order scheduling and tracking method and system. The method comprises the following steps: acquiring node information, inventory batch information and to-be-scheduled order information of a supply chain; the method comprises the following steps: constructing an inter-node material scheduling tendency potential energy matrix, calculating demand potential energy by using an S-type gain function according to the order demand quantity of a medical institution, calculating a node state disturbance value in combination with node historical operation interruption frequency and storage environment compliance data, and calculating the timeliness value of each batch through an exponential decay function according to the stock batch material validity period; synthesizing the three to generate a potential energy matrix; generating order candidate scheduling paths based on the potential energy matrix gradient, accumulating path node state disturbance values to obtain path comprehensive disturbance values, and selecting the path with the minimum value as a scheduling path; scheduling is executed according to the path, the logistics information is tracked in real time, and when the logistics information deviates, the historical operation interruption frequency of related nodes is updated, the node state disturbance value is adjusted, and subsequent order scheduling is optimized.

The application provides a medical supply chain multi-level collaborative intelligent order scheduling and tracking method and system, acquires supply chain node information, inventory batch information and to-be-scheduled order information; constructs a material scheduling tendency potential energy matrix between nodes, calculates demand potential energy by using an S-shaped gain function according to the quantity of medical institution order demand, calculates node state disturbance values in combination with historical operation interruption frequency and storage environment compliance data of the nodes, calculates the time value of each batch by an exponential decay function according to the shelf life of the inventory batch, and generates a potential energy matrix by comprehensively integrating the three; generates an order candidate scheduling path based on the gradient of the potential energy matrix, accumulates the path comprehensive disturbance value of the path node state disturbance value, and selects the minimum value as the scheduling path; performs scheduling according to the path, tracks logistics information in real time, updates the historical operation interruption frequency of the related nodes when the logistics information deviates, adjusts the node state disturbance value, and optimizes subsequent order scheduling.

The invention relates to a port logistics information processing method based on a general large language model. The method comprises the following steps: S1, collecting logistics clue information; S2, preprocessing the logistics clue information; S3, marking the logistics clue information; the method has the advantages that port logistics information chains can be effectively integrated, information islands can be broken, more comprehensive, accurate and timely information support can be provided for port logistics services, and compared with a traditional method that an AI knowledge base processes and stores information in a text slicing mode, the method has the advantage that the information processing efficiency is improved. The method is applied to retrieval of internal information in the field of port services, the integration efficiency is remarkably improved, higher flexibility is achieved in the data application stage, and clue groups can be integrated into coherent logistics chain information by selecting a traditional series connection mode or a series connection mode based on a general large language model according to actual requirements.

The invention discloses a logistics business processing method, a computing device and a computer readable storage medium, and the method comprises the steps: S1, responding to the input of logistics inquiry information, through learning a generative model of charging rule information of at least one carrier, outputting logistics quotation information corresponding to the logistics inquiry information, the logistics inquiry information comprises one or more demand characteristics influencing logistics charging; and S2, processing the logistics quotation information according to a preset rule. Therefore, according to the technical scheme of the invention, after the charging rules of one or more carriers are acquired and learned through the generative model, the logistics quotation information can be output according to the logistics inquiry information, so that a logistics demand side is prevented from making contact with each carrier for quotation, and quotation after waiting for the carriers to manually understand the charging rules is avoided; therefore, the manual participation degree of the inquiry process of the logistics business is reduced, and the efficiency of the inquiry process of the logistics business can be improved.

The application discloses a kind of logistics information processing method and device, it is related to wisdom logistics technical field.The specific embodiment of the method includes: receiving the logistics parameter report information sent by logistics operation client;Logistics parameter report information includes: pre-acquired, the measured data of the logistics parameter of goods in current logistics link, the record data of the logistics parameter of goods in historical logistics link, the responsibility subject associated with record data and responsibility type;There is deviation between measured data and record data;Determine the responsibility type corresponding to the mapping relationship between the responsibility type and the action of determining responsibility in advance configured in logistics parameter report information, obtain the result of determining responsibility using the action of determining responsibility determined and logistics parameter report information;In response to the result of determining responsibility indicates that responsibility subject is responsible, generate logistics expense recovery task and send to the terminal of responsibility subject.This embodiment can form reusable logistics parameter report system.

The application belongs to the technical field of logistics management, and discloses an intelligent express order processing optimization system and method based on big data analysis, which comprises the following steps: collecting data related to express orders in a target express company to obtain corresponding logistics order information; the logistics order information comprises express order information and order auxiliary data; performing data processing on the collected logistics order information to obtain a corresponding order decision tree diagram; obtaining a to-be-processed order, combining the order decision tree diagram to formulate a corresponding initial order processing strategy for the corresponding to-be-processed order; performing strategy verification on the obtained initial order processing strategy, and taking corresponding feedback measures based on the strategy verification result; and efficient management and optimization of express order information are realized.

The application relates to the technical field of industrial automation production, and discloses a flexible logistics system, which comprises a front-end management and control subsystem and a rear-end management and control subsystem, and a scene module is used for storing various field models; the field model is used for indicating logistics scene information required when executing a logistics management and control task in various production scenes; the logistics scene information comprises production yield information; a processing module is used for acquiring configuration information input by a user in the front-end management and control subsystem through an interface module; the configuration information is used for indicating various production scenes; according to the configuration information, a target field model is selected in the scene module; according to the target field model and the production yield information, a logistics management and control task is generated; and a target service unit is called to execute the logistics management and control task based on the target field model. The flexible logistics system can quickly adapt to changes of a generated scene and improve the efficiency and accuracy of logistics.

The embodiment of the invention provides a logistics information processing method and device, equipment and a storage medium. The method comprises the steps that logistics track information of a logistics order is acquired, the logistics track information indicates at least one logistics event occurring in the logistics order and event information mapped to the logistics event, and the event information is used for representing the corresponding logistics event; determining model input of a first machine learning model at least based on the logistics track information; and determining an anomaly detection result for the logistics order based on the model input by using the first machine learning model, the anomaly detection result indicating whether the mapping relationship between the at least one logistics event and the corresponding event information is abnormal or not. In this way, the accuracy of the logistics track information can be improved.

This invention relates to the technical field of industrial manufacturing and production management, and in particular to a multi-factory tire production collaborative scheduling and resource allocation system. The system includes a unified order management center, a data acquisition unit, a data processing and analysis unit, a factory capability twin model unit, a collaborative scheduling and resource allocation unit, an operation interface unit, and a report generation and query unit. The unified order management center is used to collect, parse, and manage all customer orders, forming a unified global order pool. The data acquisition unit includes equipment sensors, logistics sensors, and a manual input terminal. Equipment sensors are installed on production equipment in each factory to collect real-time information on equipment operating status, production parameters, and production progress. Logistics sensors are installed in warehouses and transport vehicles. This system reduces equipment idle time and production cycles, improves the efficiency of tire production, and optimizes resource allocation and production task distribution.

The application relates to the technical field of data processing, in particular to an abnormal allocation delivery order processing method and device, equipment and a storage medium, the method comprises the following steps: acquiring a real-time cargo image and performing information extraction processing to obtain cargo appearance information; inputting the real-time cargo image and the cargo appearance information into an abnormal type identification model, if it is determined that there is an abnormal problem, inputting the acquired logistics information and the identification result into a judgment model, and inputting the acquired cargo value information, the logistics information and the judgment result output by the judgment model into an amount calculation model to obtain a reward and punishment amount calculation result; generating to-be-audited information based on order information, the judgment result and the reward and punishment amount calculation result; when the to-be-audited information is audited and passed, prepayment information is generated; the method disclosed by the application can realize automatic judgment of abnormal allocation delivery orders, and can correspondingly calculate a judgment amount, and has the advantages of fast processing speed, clear and definite processing flow and high reliability of processing result.

The application provides a UAV land-based electromagnetic take-off and landing transportation method and device and electronic equipment, effectively solving the problem that the existing UAV land-based electromagnetic take-off and landing transportation system cannot provide a high-frequency continuous take-off and landing transportation environment for UAVs in a logistics park. The method comprises the following steps: generating a UAV transportation scheme and generating a flight path sequence according to received order information, various state information of the UAV, site information of the logistics park and real-time airspace information; performing power demand prediction of a direct-current bus based on the flight path sequence to obtain predicted power and predicted power constraints, and outputting a power distribution instruction corresponding to the predicted power; obtaining operation control instructions according to the optimized power distribution instructions and the UAV transportation scheme, and executing the operation control instructions to perform logistics transportation; and collecting operation data generated by the UAV during logistics transportation in real time, identifying abnormal information in the operation data to adjust the logistics transportation of the UAV in real time.

The invention relates to the field of logistics transportation, and discloses a logistics order abnormity processing method and device, equipment and a storage medium. The method comprises the steps of obtaining feature data of a logistics order, wherein the feature data of the logistics order comprises order identification information, logistics track information, timestamp information and parcel state information; determining the initial state of the logistics order based on the feature data of the logistics order, and obtaining an initial state judgment result; according to the initial state judgment result, classifying the logistics order into a logistics order in a normal state or a logistics order in an abnormal state; and performing order association analysis on the logistics order in the abnormal state, processing the logistics order in the abnormal state according to an analysis result, and generating a processing result. According to the logistics order exception handling method provided by the invention, a whole-process intelligent closed loop from data acquisition, state judgment, classification management to exception handling is formed, and the logistics operation efficiency and the user experience are effectively improved.

The invention discloses a commodity anti-counterfeiting traceability system and method based on a two-dimensional code and an RFID technology, and relates to the technical field of commodity anti-counterfeiting and logistics traceability. The system comprises a unique two-dimensional code on a commodity, an RFID chip on a transport package, a cloud data center, a logistics scanning terminal and a user checking terminal. The method comprises the following steps: binding a two-dimensional code of a commodity and RFID information of a box body at a cloud end; logistics information is rapidly registered in batches through an RFID reader-writer in logistics; after a user scans the code through a mobile phone, the cloud not only verifies the two-dimensional code, but also judges whether the RFID logistics link associated with the two-dimensional code is integrated or not, so as to serve as an anti-counterfeiting basis. The problems that an existing two-dimensional code anti-counterfeiting system is easy to copy and low in logistics link efficiency are effectively solved, and unification of high-strength anti-counterfeiting, high-efficiency traceability and convenient user inspection is achieved.

The invention provides an agricultural product supply chain traceability management method and system based on order data, and relates to the technical field of traceability management, and the method comprises the steps: obtaining target order plan information, including order numbers, agricultural product types and numbers, corresponding supplier information, logistics transportation information and storage information; scanning a supplier qualification file and agricultural product package symbolization information, and converting the information into a structured text containing a qualification number and an agricultural product number; associating the plan information with the structured text, and establishing a supply chain node information set; inputting the information into a decision-making tree decision-making model, determining potential quality problem points in production, transportation and storage links, and associating a preset order tracing path to form a visual tracing path containing the problem points; based on the path traceability management, troubleshooting, early warning or rectification measures are taken for problem points, and the accuracy and effectiveness of agricultural product supply chain traceability management can be improved.

The application provides a data processing method and device based on a data processing system. A first terminal sends task information of a logistics task to a second terminal via a first server and a second server, the logistics task including multiple logistics nodes that need to be executed on a logistics object in a sequence; the multiple logistics nodes include completed logistics nodes and uncompleted logistics nodes, the completed logistics nodes being completed by the first terminal or a first subject using the first terminal; and the task information at least includes node information of the uncompleted logistics nodes and state information of the logistics object under the condition that the completed logistics nodes are executed on the logistics object. The second terminal or a second subject using the second terminal executes the uncompleted logistics nodes on the logistics object according to the state information of the logistics object and the node information of the uncompleted logistics nodes. The utilization rate of the equipment in the warehouse participating in the logistics task can be improved when multiple logistics tasks are processed.

The invention provides an unmanned aerial vehicle land-based electromagnetic take-off and landing transportation method and device and electronic equipment. The problem that an existing unmanned aerial vehicle land-based electromagnetic take-off and landing transportation system cannot provide a high-frequency continuous take-off and landing transportation environment for an unmanned aerial vehicle in a logistics garden is effectively solved. The method comprises the steps of generating an unmanned aerial vehicle transportation scheme and a flight path sequence according to received order information, various state information of an unmanned aerial vehicle, site information of a logistics park and real-time airspace information, performing power demand prediction of a direct current bus based on the flight path sequence to obtain predicted power and predicted power constraint, outputting a power distribution instruction corresponding to the predicted power; according to the optimized power distribution instruction and the unmanned aerial vehicle transportation scheme, obtaining an operation control instruction, and executing the operation control instruction to perform logistics transportation; and acquiring operation data generated by the unmanned aerial vehicle during logistics transportation in real time, and identifying abnormal information in the operation data so as to adjust logistics transportation of the unmanned aerial vehicle in real time.

The invention discloses an external order circulation method based on external commodity identification and matching and a supply and marketing platform, and relates to the technical field of ERP systems, and the method comprises the steps: completing the registration and login of an external distribution end ERP; receiving odd-gate joint debugging information sent by the external distribution end ERP, verifying the odd-gate joint debugging information according to the unique identification information, and establishing odd-gate butt joint with the external distribution end ERP after verification succeeds; receiving service data sent by the external distribution end ERP completing the odd gate docking through an odd gate interface, and realizing data interaction processing between the external distribution end ERP and the target supplier according to the service data; according to the application, circulation and timely return synchronization of order information, goods information, logistics information and after-sales order information across different ERP systems of suppliers and distributors are realized, the working efficiency of role customers of both parties and the accuracy of order circulation are improved, and meanwhile, the labor cost is saved.

The invention provides a chemical logistics system based on multi-modal prediction. The chemical logistics system comprises a logistics regulation and control end and a chemical container end, wherein the chemical container end is used for returning positioning, material and weight information to the logistics control end; the logistics control end is used for knowing the position of the chemical container based on the information returned by the chemical container end, knowing the product use progress of the customer and estimating the depletion time of the chemical; the logistics control end is used for estimating the quantity of the chemical containers to be recycled by analyzing the product use progress of each customer, fitting the recycling time and the recycling route based on the upper limit and the lower limit of the one-time recycling quantity and cost accounting, and realizing rapid batch recycling of the chemical containers; and the logistics control terminal also pre-estimates the purchase habit of the customer by analyzing the product use progress of the customer, and makes storage and transportation preparation for the next batch of products based on the purchase habit of the customer.