38 results about "Information logistics" patented technology

The invention provides a supply chain prediction method based on a knowledge graph and an industrial model, and the method comprises the steps: collecting the features needed by supply chain prediction, and the needed features comprise historical order data and production plan data, industrial product purchasing data and collection information, logistics data and storage data; performing data cleaning, standardization and correlation analysis on the historical order data, the production plan data, the industrial product purchasing data, the collection information, the logistics data and the storage data to obtain target features; key entities and relationships in the target features are identified, and a knowledge graph is constructed based on the key entities and the relationships; the industrial model is used for identifying supply chain key nodes and node relations in the knowledge graph, the supply chain key nodes and the node relations are converted into numerical feature vectors used for supply chain prediction so as to carry out supply chain prediction, the relations among the nodes in the supply chain can be better captured by introducing the knowledge graph and the industrial model, and the supply chain prediction accuracy is improved. Therefore, the supply chain prediction precision is effectively improved.

The invention discloses a bulk commodity logistics tracking and monitoring method and system based on a block chain, and relates to the field of commodity logistics monitoring. The method comprises the following steps: acquiring logistics node information recorded on a block chain, extracting influence factor information, including commodity feature information, logistics feature information and objective feature information, of a circulation period Ti of a current logistics node i, and determining an influence coefficient of each influence factor on the circulation period Ti; constructing a prediction model of the circulation period Ti of the current logistics node i according to the obtained influence coefficient and influence factor information, calculating and obtaining the circulation period Ti of the current logistics node i through the prediction model, and analyzing the multi-source data influencing the circulation transition period of the logistics node in the cross-border e-commerce logistics process. And the predicted circulation period of the circulation link in the logistics process is obtained, so that a logistics blind area caused by difficulty in tracking the cross-border commodity logistics information data is effectively prevented, and effective control, tracking and monitoring of the logistics and commodity flow information of the cross-border commodities are realized.

The invention belongs to the technical field of information logistics, and particularly relates to an intelligent logistics control system and method based on machine vision and a storage medium, and the intelligent logistics control method based on machine vision comprises the steps: obtaining discharging information; controlling a visual identification module to run to a photographing position according to the discharging information so as to identify material grabbing position information and identification code information of an identification code; matching a discharging drawer of the storage cabinet module according to the identification code information, and generating matching information; and a robot carrying module is controlled to be matched with a transfer module according to the matching information and the material grabbing position information, so that the robot carrying module places the grabbed packaging parts on the transfer module, and the packaging parts are stored in a storage cabinet module through the transfer module. According to the invention, the classification, storage and taking efficiency of the packaging parts is improved, and the complexity and errors of manual operation are reduced.

The invention provides an unmanned aerial vehicle scheduling supervision method and system based on a logistics cabinet base station. A command and control center distributes flight tasks to a target unmanned aerial vehicle and a main landing point; the target unmanned aerial vehicle executes a flight task according to the planned flight path and broadcasts flight information; when the logistics cabinet base station receives the flight information, the flight information is forwarded to the command and control center; the command and control center is used for displaying the target unmanned aerial vehicle and the corresponding flight information through the user terminal or the command and control center display screen; and when the flight task is a delivery type task, the main landing point is used for reserving a cargo storage cabinet after receiving the flight task so as to store cargoes transported by the target unmanned aerial vehicle. The target unmanned aerial vehicle is monitored through the logistics cabinet base station, and the flight information of the target unmanned aerial vehicle is displayed in real time, so that back-end management personnel can check the flight information conveniently. And the cargo storage cabinet is reserved at the main descending point, so that cargo storage can be completed, repeated transportation caused by insufficient number of containers is avoided, and the transportation efficiency is guaranteed.

The invention provides an emergency material distribution method, system and device and a storage medium, and relates to the technical field of material distribution, and the method comprises the steps: obtaining material information, logistics condition information, user feedback information, logistics network information, material management information and supply chain information; generating material loading information; generating logistics configuration information; generating abnormal recognition result information; generating demand prediction result information; generating parallel processing effect information; generating decision support summary information; acquiring a real-time event data stream; generating real-time processing analysis information; and generating material distribution comprehensive decision support information according to the material loading information, the logistics configuration information, the anomaly identification result information, the demand prediction result information, the parallel processing effect information, the decision support summary information and the real-time processing analysis information. And support information for material distribution decision making is provided in multiple aspects, so that quick response and formulation of an emergency material distribution scheme in an emergency are facilitated, and the response speed and efficiency are improved.

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 discloses a supply chain management system and method, and the system comprises a retailer client which is used for a retailer to upload distribution order information; the logistics transaction platform is used for obtaining an order type corresponding to the delivery order information according to the delivery order information and the service station storage information, and the order type comprises a service station order and a cloud warehouse order; the logistics distribution end comprises a service station unit and a cloud warehouse unit; and the supplier end is used for distributing commodities to a service station according to the cloud warehouse order and collecting supplier distribution information in real time. According to the invention, retailers in remote areas can receive goods quickly after ordering, the commodity source channels of the retailers are expanded, the logistics transportation cost is greatly saved, the operating cost of the retailers is reduced, and the inventory pressure is relieved.

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 present invention discloses a method and system for tracking and monitoring bulk commodity logistics based on blockchain, which relates to the field of commodity logistics monitoring. By obtaining the logistics node information recorded on the blockchain, the circulation period T of the current logistics node i is extracted. i Including commodity feature information, logistics feature information, and influencing factor information of objective feature information, and determining the influence of each of the influencing factors on the circulation period T i The influence coefficient of the current logistics node i is constructed based on the obtained influence coefficient and influencing factor information. i The prediction model is used to calculate the turnover period T of the current logistics node i. i , analyze the multi-source data that affects the transition period of logistics nodes in the cross-border e-commerce logistics process, and obtain the predicted circulation cycle of the turnover links in the logistics process, so as to effectively prevent the occurrence of logistics blind spots caused by the difficulty in tracking cross-border commodity logistics information data, and realize the effective control and tracking monitoring of cross-border commodity logistics and commodity flow information.

The invention discloses a logistics e-commerce platform driver team picking method, and relates to the technical field of logistics transportation, and the method comprises the steps: S1, a carrier driver needs to register on a logistics e-commerce platform, and completes the identity authentication and the filling of vehicle information; s2, the logistics e-commerce platform creates a driver team hall, drivers establish a new team or join an existing driver team, and the platform automatically summarizes driver information and vehicle information in the team; and S3, the logistics e-commerce platform obtains a bulk cargo transportation order sent by a cargo owner, and after auditing, order information is forwarded to a driver team hall. According to the method, the deadhead ratio is effectively reduced and the utilization efficiency of the vehicle is improved through team picking of drivers and matching of the vehicle and the goods, so that the overall transportation capacity, rapid order matching and clear information circulation are optimized, the drivers can respond to the request in time, the response speed of bulk goods order processing and the overall transportation timeliness are improved, and the transportation efficiency is improved. The transportation cost is reduced.

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

The invention discloses a logistics operation strategy adjusting method and device, a storage medium and a processor. The method comprises the steps that an initial operation strategy of logistics information is acquired, and the initial operation strategy is used for indicating operation rules of the logistics information; production material information associated with the logistics information is obtained, and the production material information is used for indicating at least one of the following information: attribute information of materials in the logistics information, human resource information associated with the materials in the material manufacturing process, and material resource information associated with the materials; target cost information of the logistics information is determined based on the production material information and the initial operation strategy, and the target cost information is used for indicating the cost required by the logistics information in the operation process; and adjusting the initial operation strategy based on the target cost information to obtain a target operation strategy of the logistics information. The technical problem of low logistics management efficiency is solved.

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 invention discloses a low-altitude economic development form analysis method and system based on a high-density city, and relates to the technical field of low-altitude economics, the city is divided into city areas, the whole day is divided into time periods, and according to the population density and traffic information of each city area in each time period, each service time period of each city area is obtained; according to the traffic information, the logistics information and the scenic spot information of each urban area in each service time period, obtaining each service field of each urban area in each service time period, and finally analyzing the demand scale value and the priority coefficient of each urban area in each service field in each service time period; and low-altitude economic services are allocated to each service field of each service time period of each city region, so that each field can obtain timely and effective low-altitude economic services and each region of the city can obtain enough low-altitude economic services.

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 invention relates to the technical field of logistics data query, in particular to a logistics transportation information real-time query system based on a data big model, which comprises an information management module, a cloud platform, an information service module and an input module, and is characterized in that the information service module is connected with a user side; the input module is used for inputting logistics information and logistics archive information to the cloud platform, and the cloud platform is used for sorting and managing information data of the logistics information and the logistics archive information and completing real-time updating and processing of information parameters; the information service module is used for feeding back logistics transaction information, reminding logistics information and querying stored logistics information, and distributing the logistics transaction information, the logistics information and the stored logistics information to the cloud platform and an update application host of the information management module; and the information management module is used for real-time query of the logistics order information, the logistics transportation information and the logistics storage information. The real-time updating response efficiency of the system is higher, the data transmission time consumption is shorter, and user query is facilitated.

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 method for acquiring import and export logistics fees. The method comprises the following steps: acquiring cargo ruler information, logistics cost parameters and supplementary cost information; the logistics cost parameters comprise an international freight parameter, a shipping port miscellaneous fee parameter and an import company parameter; acquiring the international freight of each charging unit according to the cargo ruler information and the international freight parameters; according to the cargo ruler information, the shipping port and port miscellaneous fee parameters and the supplementary fee information, the shipping port and port miscellaneous fee of each charging unit is obtained; obtaining the import tax of each charging unit according to the import company parameters; and according to the import company parameters and the supplementary cost information, obtaining the import port miscellaneous fee of each charging unit, the import customs clearance agent fee of each charging unit and the inland transportation fee of each charging unit. According to the invention, the workload of manual input can be reduced, the risk of data input errors caused by manual input is reduced, the accuracy of the logistics fee bill is improved, and the overall settlement efficiency of the logistics fee is 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 discloses an optimization method for solving the shortest path of logistics distribution through cloud computing, and the method comprises the steps: obtaining logistics address information and vehicle information, enabling the logistics address information to comprise a distribution center and a delivery place, taking the body address of the distribution center as a starting region, determining a plurality of collection regions according to the delivery place, and carrying out the collection of the collection regions; obtaining a plurality of corresponding collection area specific addresses at the same time; performing area division according to the specific addresses of the plurality of collection areas to obtain a plurality of collection division areas; carrying out logistics path planning on the starting area and the plurality of collection division areas to generate a plurality of collection transportation paths, and optimizing the plurality of collection transportation paths to obtain a determined path; and collecting the weight of delivered goods in the determined path, and matching a proper transport vehicle according to the weight of the delivered goods to arrange a transport task. According to the invention, the distribution time and cost of a logistics enterprise can be reduced, the vehicle path planning efficiency of the logistics enterprise can be improved, the logistics transportation distance can be shortened to the maximum extent, and the logistics transportation efficiency can be improved.

The invention provides a laser integrated cutting machining system. The system comprises a control module, a cutting module and a cutting module, wherein the control module receives feeding information transmitted by upstream equipment; the logistics module moves the initial product from the feeding disc to a correction position according to the feeding information; the checking module identifies the position of the initial product and generates position correction information; the logistics module also adjusts the position of the initial product according to the position correction information, and moves the initial product from the correction position to the processing position; the process module performs laser cutting on the initial product to form a target product; the logistics module also moves the target product from the processing position to the inspection position; the checking module is also used for checking the processing effect of the target product to generate checking data; the control module further judges whether the target products are qualified or not according to the inspection data and moves the corresponding target products to the discharging disc or the waste opening according to the judgment result. According to the invention, idle time and excessive work of the equipment are reduced, and the workload of the equipment is maximized.