79 results about "Transportation management system" patented technology

An artificial-intelligence image processing method based on intelligent transportation. The method comprises the steps of image acquisition and preprocessing, feature extraction, construction and training of an artificial intelligence model, intelligent analysis and decision support, intelligent image processing and feedback, result output and application, etc. In the artificial-intelligence image processing method based on intelligent transportation, information obtained by means of feature extraction is used for the establishment of an artificial-intelligence analysis model, thereby significantly enhancing the intelligent analysis capability of an intelligent-transportation management system. In the step of construction and training of an artificial intelligence model, by means of performing mapping calculation on extracted features and historical data, a constructed artificial-intelligence analysis model can learn and recognize a pattern in a transportation image, thereby predicting an optimal processing method. The establishment of such a model enables the intelligent-transportation management system to not only process current image data, but also perform learning and prediction on the basis of the historical data, thereby improving the intelligence level of the system.

The invention discloses a steel transportation management system and method based on dynamic dual weight control, and belongs to the technical field of logistics transportation and intelligent manufacturing. The steel transportation management method based on dynamic dual weight control comprises the steps of splitting an order into a plurality of sub-waybills when the total weight of the order exceeds a threshold value, and allocating a theoretical weight to each sub-waybill; after vehicle loading is completed, two levels of weight control are executed in sequence: in the first level, weight deviation judgment is performed on the sub-waybills based on real-time weighing data, and overload of the single vehicle is prevented; and the second level updates the global accumulative shipping weight, compares the global accumulative shipping weight with the total theoretical weight of the order, and judges whether the total shipping amount precision requirement is met or not. According to the invention, through a dynamic and dual closed-loop weight control mechanism, real-time monitoring and intelligent decision-making of the load of the transport vehicle are realized, the problem of large deviation between single vehicle overload and the overall delivery amount in the steel transport process is effectively solved, and the transport safety, accuracy and operation efficiency are improved.

The invention discloses a vehicle transportation management system based on Beidou positioning, which belongs to the technical field of vehicle transportation and comprises a Beidou positioning module, a data processing module, a multi-source heterogeneous data fusion module, a vehicle state monitoring module, a data analysis module, a transportation route planning module, a transportation route optimization module and a data report generation module. Through the high-precision positioning function of the Beidou positioning module and in combination with the error correction technology, more accurate vehicle position information can be provided, the accuracy and reliability of transportation are improved, the received data including satellite orbit errors, atmospheric delay errors and the like are processed, the positioning accuracy is further improved, and the positioning accuracy is improved. A comprehensive vehicle running state view is formed by combining Beidou positioning information with a vehicle sensor and an external data source, so that information from different data sources can be compared and analyzed on a common time axis, and the accuracy and effectiveness of data analysis are improved.

The electronic shipping label device may display a shipping label image or shipment information using an electronic paper display, and may be attached to an item for shipment of the item from an origin to a destination. A host device, such as an electronic device of a user, may configure the electronic shipping label device to display the shipping label image. The host device may be configured to communicate with a system server of a shipping management system to provide shipping parameters corresponding to the shipment and receive the shipping label image (e.g., from a third-party system, such as a system associated with a shipping carrier). The host device may transmit the shipping label image to the electronic shipping label device for display.

The embodiment of the invention relates to the technical field of river-sea combined transportation scheduling, in particular to a resource dynamic configuration method and system applied to river-sea combined transportation, and the method comprises the steps: firstly obtaining a historical operation data set containing ship transportation, port operation and channel passing records, and then carrying out the extraction of resource correlation features, and a multi-dimensional collaborative feature set reflecting the ship-port-channel collaborative relationship is obtained. And then calling a pre-constructed dynamic configuration model to perform resource allocation mode learning on the set, and generating prediction distribution information including ship scheduling, port berth allocation and channel passing priority schemes in different transportation periods. And finally, generating a dynamic resource configuration instruction according to the information, and feeding back to a river-sea combined transportation management system to execute resource adjustment operation, thereby realizing dynamic and accurate configuration of river-sea combined transportation resources, and improving the overall operation efficiency.

The invention relates to the technical field of coal transportation and sales management, and discloses a coal transportation and sales management system based on deep learning. The system comprises a multi-source data acquisition and processing module which collects and preprocesses coal quality, a transportation state and market sales data; the coal demand prediction module predicts a market demand trend based on the preprocessed data; the inventory optimization scheduling module optimizes the inventory level according to the demand trend; the transportation task dynamic allocation module allocates transportation tasks in combination with the optimized inventory; the abnormity monitoring and analyzing module monitors transportation abnormity; the constraint evaluation and optimization module evaluates transportation resource constraints and optimizes task allocation; the real-time response adjustment module dynamically adjusts the transportation task according to the abnormality and constraint evaluation result; the life cycle prediction module predicts the aging trend of inventory equipment; the energy efficiency evaluation module evaluates the transportation energy efficiency; and the maintenance decision optimization module optimizes a maintenance strategy in combination with the aging trend and the energy efficiency evaluation result. The system realizes intelligent management of the whole coal transportation and sale process.

A system for quantum-enhanced behavioral analysis and secure database operations includes an ACAARY Database configured to store and process quantum-verified data under multi-tiered access control; an AR Quantum Cyber-Micro Expressions System configured to analyze involuntary behavioral patterns in digital communications via computational analysis of user interaction data; AR Quantum Sequence Triplications with Quantum Operations comprising three-qubit verification circuits implemented on superconducting quantum processors that perform parallel artificial-qubit processing to achieve unbiased quantum supremacy; an AR Quantum Parallel Data Algorithm Structure and Method Specialized Encrypted Algorithmic Quantum Procedures configured to execute simultaneous perpendicular encryption processing with real-time transaction verification across multiple channels; an AR Helmsmen Quantum Transportation Management System with integrated digital licensing and frequency-based quantum routing protocols; and an AR Thermodynamics Devices System configured to perform thermal bonding and division operations while maintaining different temperatures within defined containment areas for material modification.

The invention relates to the field of logistics transportation management, and particularly discloses a visual TMS logistics transportation management system and method, which takes deliverymen, clients and delivery points as transportation network nodes, constructs a dynamic topology based on predicted driving time among the nodes, and provides a visual TMS logistics transportation management system. Deep context association perception is carried out on attribute information such as geographic coordinates and time windows of all transportation network nodes by using a graph convolutional neural network, so that the optimal path connection probability between every two nodes is predicted on the basis, and an adjacent probability matrix between the nodes is generated; and based on a maximum adjacency probability selection principle and an access logic verification mechanism of first delivery and second delivery, determining a transportation route planning result according with business logic, and performing visual display. According to the method, rigid constraints of actual business rules and operation processes can be met, effective delivery decision support is provided for managers and deliverymen, and the intelligent level and delivery efficiency of logistics transportation are remarkably improved.

Systems and methods for a transportation management system provide for: generating a user interface to receive a user query related to vehicle transportation; utilizing an artificial intelligence (AI) system to pre-process the user query to generate a preprocessed user query; accessing, based on the preprocessed user query, transportation data relevant to answering the user query; determining an automated answer to the user query based on the transportation data; transforming the automated answer into a response to the user query; and updating the user interface to include the response to the user query.

The invention discloses a raw milk transportation management system based on intelligent analysis, and relates to the technical field of dairy product storage and transportation management. Comprising a milk hall data acquisition and scheduling module, a milk can loading and vehicle scheduling module, a raw milk transportation and vehicle monitoring module, a vehicle return and vehicle monitoring module and a driving behavior analysis and vehicle health inspection module. The specific working process of the system comprises the steps of milk hall data access and scheduling, a milk can raw milk filling stage, data access and vehicle scheduling, raw milk transportation stage data access and charging scheduling, vehicle return stage data access and charging scheduling, driving behavior analysis and vehicle health examination. According to the invention, full-life-cycle management and control of the raw milk supply chain are realized through multi-source heterogeneous data fusion and an intelligent decision technology.

The application discloses a kind of based on intelligent concentrated sulfuric acid sales and storage and transportation management system and method of logistics network, and relates to acid loading operation control technical field.The system includes acid loading reservation module, vehicle identification module, acid loading execution module and sales management module:acid loading reservation module is used to receive acid loading reservation information and carries out pre-checking, generates acid loading task after pre-checking passes through;Vehicle identification module includes license plate recognition device, identity card recognition device, laser recognition device and positioning recognition device;Acid loading execution module is used to complete crane pipe automatic positioning, quantitative acid loading and anti-overflow protection operation after receiving start signal, and automatically collect and calculate vehicle tare weight, gross weight and net weight information, record weighing time stamp and synchronize to associated data;Sales management module is used to realize the whole process closed-loop management of sulfuric acid sales from order initiation, reservation audit, acid loading execution, data statistics to account generation.

The application discloses a kind of building vertical transportation control system, equipment, storage medium and program product.The system includes data acquisition module, intelligent decision module and scheduling execution module.Intelligent decision module includes multidimensional hierarchical unit and self-adapting partition unit, and multidimensional hierarchical unit is according to time dimension, object dimension and space conversion to transport demand comprehensive partition, and time difference value, object priority level, floor area type are respectively as priority, priority summation plan calculation comprehensive priority rating sequencing.Partition unit is dynamically generated partition scheme according to the total height of high-rise building, and the building is divided into at least two partition transportation and sets up transfer station at boundary.Intelligent decision module uses predictive scheduling mechanism, when detecting that lower partition transportation equipment will arrive transfer station, advance scheduling upper partition idle equipment to standby.The application improves the vertical transportation efficiency of high-rise building, reduces the influence of transportation on construction progress.

The invention provides a transportation strategy optimization method and system applied to cold-chain transportation, and the method comprises the steps: firstly obtaining a transportation data set composed of equipment operation parameters and transportation environment data of transportation equipment in a transportation period in a cold-chain transportation process, and then carrying out the feature extraction of the transportation data set; the equipment feature set and the environment feature set are input into a preset exception analysis model for joint exception analysis, an exception analysis result containing an equipment exception type and an environment exception type is generated, and the equipment exception type and the environment exception type are generated according to the exception analysis result and a preset report generation rule. According to the method, a transportation abnormality analysis report including abnormal condition description, occurrence time periods and influence evaluation is generated, and finally, a transportation optimization strategy for transportation equipment maintenance and transportation environment regulation and control is generated based on the report and historical transportation data and is fed back to a cold chain transportation management system, so that the cold chain transportation quality and efficiency can be improved, and the cargo safety is guaranteed.

To provide a method for automating the coordinated operation between intelligent electronic shoes (IES) and intelligent transportation management (ITM) systems.SOLUTION: A method includes receiving a prompt signal from a transmitter-detector module that is communicatively connected to a traffic system controller of an ITM system via a detection tag attached to an IES shoe structure. In response to the prompt signal received, the detection tag transmits a response signal to the transmitter-detector module. The traffic system controller uses the response signal to determine the location of a user of the IES and the current operating state of the traffic signal in proximity to the user's location. The traffic system controller transmits a command signal to the traffic signal to switch from the current operating state to a new operating state.SELECTED DRAWING: Figure 3

The invention discloses an intelligent storage and transportation management system for oil product transportation and allocation, and belongs to the technical field of oil product storage and transportation management. In order to solve the problem that an existing intelligent storage and transportation management system is low in working efficiency, goods picking appointments including goods picking types, goods picking numbers and goods picking time are performed on a sales platform through a purchase order generation module, and purchaser information is also collected; comprising information of vehicles including license plate numbers, vehicle types and vehicle specifications, the collected information is transmitted to a data processing center, is bundled and packaged and is made into a purchaser information packet, subsequent corresponding searching is facilitated, the information is transmitted to an IC card, and the information is stored in the IC card. And direct card swiping for use in subsequent operation is facilitated, in the loading process, loading is started through one key, automatic oil product loading operation is achieved, and the loading efficiency is improved.

The invention relates to the technical field of cabins of heavy trucks, in particular to a man-machine interaction system and method for an intelligent cabin of a heavy truck, and provides an intelligent transportation management system for the heavy truck by integrating a humanistic care concept into daily work of a driver. The system mainly comprises a time management module, an efficient path planning unit, a fatigue relieving unit and a health management unit, and the time management module is used for assigning work plans and tasks according to time and providing fatigue relieving management and motion reminding services for drivers; the efficient path planning unit is used for formulating an optimal driving path and improving the working efficiency; the fatigue relieving unit and the health management unit are used for monitoring the health of the driver at any time in the whole transportation process and providing personalized requirements of different degrees for the driver.

The application discloses a logistics information supervision and transportation management system based on a data source, and relates to the technical field of logistics transportation. The transportation management system comprises a multi-source sensing acquisition module, a transportation execution control module and a path and loading / unloading optimization engine. The multi-source sensing acquisition module is used for collecting physical transportation data in real time through a vehicle positioning terminal, a cargo state sensor and a transportation environment monitoring device. The transportation execution control module is connected with the multi-source sensing acquisition module and is used for dynamically adjusting vehicle driving parameters and cargo storage environment according to the collected data. The path and loading / unloading optimization engine has the advantages that: the multi-source sensing acquisition module integrates cargo state and vehicle mechanical data, solves the problem of data fragmentation of traditional systems, the transportation execution control module identifies the cargo type based on an RFID label, dynamically adjusts the temperature and humidity of a refrigerated vehicle compartment in combination with a PID algorithm, realizes accurate control of the cargo storage environment, and reduces the loss rate.

The invention provides an express delivery transportation management system and method based on an RFID lightweight algorithm, the system is composed of an RFID tag, a reader-writer, a reader, a back-end server, an intelligent terminal device (such as a mobile phone and a computer) and the like, the manual sorting process is optimized through the RFID technology, and the intelligent level of express delivery tracking, positioning and information management is improved. In order to guarantee data privacy, a lightweight security protocol is introduced into the system design, it is ensured that an unauthorized module cannot read sensitive information of a user, an electronic tag is used for replacing a traditional paper express sheet, and the problem of user privacy disclosure is effectively avoided. According to the technical scheme, on the premise of protecting the personal information of the user, the digital management level and the overall operation efficiency of the logistics process are improved. According to the method, an RFID (radio frequency identification) technology and an identity authentication mechanism are fused, a self-developed lightweight security algorithm protocol is adopted, and a complete logistics process from a delivery end to a receiving end is constructed.

The invention provides a visual TMS logistics transportation management system and method, and relates to the technical field of logistics management. The visual TMS logistics transportation management system comprises a data fusing module which is used for accessing and fusing heterogeneous logistics data from an order management system, a warehouse management system, a vehicle positioning device and a carrier interface, and endowing each piece of data with a credibility weight and an influence potential energy label. According to the technology, heterogeneous data can be integrated, abnormal propagation risks can be quantified and a global optimal intervention scheme can be generated through dynamic influence network modeling and a collaborative entropy reduction mechanism, a network state and a decision process can be visually presented through a visual interaction module, fundamental transformation from isolated management to dynamic association and from local optimization to global entropy reduction is realized, and the network state and decision process can be visually presented. And the insight, the cooperation efficiency and the decision-making quality of logistics management can be greatly improved.

The invention relates to the technical field of molten iron combined transportation. More specifically, the invention relates to a bulk cargo stereoscopic warehouse-based combined transportation management method and system. The invention provides a bulk cargo stereoscopic warehouse-based molten iron combined transportation management method and system, and the method comprises the steps: carrying out the overall control through a bulk cargo and molten iron combined transportation management system, carrying out the vehicle number recognition and cargo recognition through a railway transportation management system, and carrying out the ship and berth recognition and ship loader and belt control through a port operation management system. The storage yard management system carries out warehouse-in and warehouse-out control and warehouse space management, the function of distributing different goods by different goods owners is achieved, long-distance belt investment is saved, and meanwhile intermediate operation time is saved.

To enable appropriate transportation, tracking, or management of transportation targets.SOLUTION: A transportation management device is provided, comprising a communication unit configured to receive transmission information including transportation target identification information and storage identification information from a terminal device configured to acquire the transportation target identification information and the storage identification information of a storage that accommodates a transportation target, and a processing unit configured to cause a data retaining unit to store the transportation target identification information and the storage identification information in association with each other according to the transmission information.SELECTED DRAWING: Figure 16

This system provides a demand-responsive transportation management system that makes it easier to obtain user consent for the consolidation of boarding and alighting points, and enables efficient operation using the consolidated boarding and alighting points. [Solution] Up until the reservation deadline, the system accepts ride reservations from each user, which include the departure point, destination, at least one of the scheduled departure time from the departure point and the scheduled arrival time at the destination, and a walking range that specifies the area where walking is permitted. Based on the content of the ride reservations received from each user, the system aggregates the ride reservations into one or more reservation groups, provided that they do not exceed the walking range. For each reservation group, a common boarding and alighting point is selected from among multiple bus stops for each user who made a ride reservation included in that group, and the system determines the operation plan for the bus based on the aggregated content.

The disclosed computer-implemented method may include receiving, at a transportation management system, driving data associated with a computing device. The method may further include detecting, in response to receiving the driving data, a deviation from a transportation profile associated with the computing device. The method may also include sending, in response to detecting the deviation at the transportation management system, at least one transportation notification. Various other methods, systems, and computer-readable media are also disclosed.

The invention, which relates to the technical field of data management, discloses a transportation management system for carrying out freight transport by using urban public transport, comprising a freight transport task management module, an intelligent scheduling module, a cargo storage and fixed management module and an information interaction module. In combination with a public transport operation timetable, passenger flow density and dynamic operation characteristics, a freight route is optimized, and passenger and freight coexistence is ensured without affecting passenger travel; based on spatial layout and vehicle operation characteristics, a cargo storage optimization strategy is designed, the transportation stability is improved, and cargo damage and potential safety hazards are prevented; and meanwhile, the information interaction module monitors the cargo storage state in real time and provides an abnormal alarm, so that the safety, reliability and operation efficiency of cargo transportation are ensured, and intelligent fusion of public transportation and urban freight transportation is realized.

A blockchain-integrated, distributed, autonomous, vehicle-based transportation management system, consisting of: a vehicle management system configured to manage a large number of privately owned autonomous vehicles (POAVs), wherein the vehicle management system is further configured to detect an idle state of the vehicle when it is not being used personally and to enable the generation of a vehicle availability notification that is then transmitted; a public utility transport system connected to the vehicle management system, wherein the public utility transport system comprises: a user interface configured to receive the user's ride request and provide the user with a user-friendly interface that allows them to book a ride with autonomous vehicles; and a transport management unit configured to receive notifications about the availability of privately owned autonomous vehicles, implements dynamic pricing algorithms based on real-time parameters for demand, supply, availability, and distance, and provides a user interface for booking rides with autonomous vehicles; and a blockchain network that is communicatively connected to the public transport system and configured to execute smart contracts for trustless transactions between parties, maintains a decentralized ledger to record vehicle availability and usage data, processes secure payments between users and vehicle owners, and provides privacy and data protection for user transactions and interactions.

The utility model discloses a blood transportation management system, which relates to the technical field of blood transportation and comprises a first transportation device, a to-be-detected warehouse, a labeling unit, a finished product warehouse, a packaging device, a second transportation device and a third transportation device, the first transportation device is used for transporting blood bags; the to-be-detected library is used for receiving and temporarily storing the blood bags; the labeling unit is used for labeling the blood bags; the packaging device is used for packaging the blood bags; the second transportation device is used for transporting the blood bags to a finished product warehouse; the third transportation device is used for transferring the blood bags to the blood fermentation chamber; according to the technical scheme provided by the utility model, the transportation device capable of automatically moving is arranged among the to-be-detected warehouse, the labeling unit, the finished product warehouse and the packaging device of the system, and the interior of each unit can automatically complete corresponding work, so that the whole assembly line system does not need manual operation in the process of storing, sorting and distributing blood bags, and the production efficiency is improved. Therefore, the blood bag distributing and using efficiency is improved.

The invention discloses a TMS logistics freight collaborative scheduling method and system for remote supervision, and belongs to the technical field of remote supervision. All transportation task information is obtained from a logistics transportation management system background, intervals are divided according to transportation paths, and electronic fences are constructed; acquiring position and speed information in real time and setting a sampling period; in each sampling period, the average load rate, the time limit tensity and the speed tensity of the transport vehicles in the electronic fence interval are calculated; a fence pressure index is obtained based on weighted fusion of the three types of indexes, and a high-pressure fence interval is judged; the scheduling pressure coefficient of each transport vehicle is calculated, task diversion and path switching are performed on the vehicles with high scheduling pressure in the high-pressure interval, and cooperative scheduling is performed on the vehicles with the vehicles in the low-pressure interval, so that closed-loop control from regional operation pressure identification to individual vehicle scheduling optimization is realized; and the execution efficiency of the transportation task, the rationality of path allocation and the accuracy of remote supervision are improved.

An interface network is described for a warehouse management system, a transportation management system, and a robotic control system. The interface network includes: (1) a storage device configured to store a plurality of basic unit instructions, one or more of the basic unit instructions having at least one procedure identifier; (2) at least one processor coupled to the storage device and a communication network; and (3) one or more components executable by the at least one processor and collectively configured to: (a) identify a facility location, (b) manage inventory within the facility location by the robotic control system manipulating robotic entities within the facility location under direction of the warehouse management system, and (c) coordinate transportation to and from the facility location with movement of inventory by the robotic entities within the facility location by coordinating between the transportation management system and the warehouse management system.

The invention provides an aquatic product operation management system, which belongs to the technical field of operation management, integrates system management, basic management, purchase management, warehouse management, quality management and financial management modules, and remarkably improves the operation efficiency and management level of enterprises. The system management module guarantees the safety and stability of the system, and the maintainability and expansibility are enhanced; the basic management module unifies data standards and simplifies the operation process; the purchasing management module optimizes the purchasing process, reduces the cost and guarantees the quality; the warehouse management module realizes inventory refined management, and improves the warehouse utilization rate and the material safety; the quality management module establishes a perfect quality system, ensures product safety and meets supervision requirements; and the financial management module realizes financial business integration, enhances financial management and control and provides decision support. All the modules cooperate to help enterprises to improve the operation efficiency, reduce the cost, guarantee the quality, optimize the decision, and assist aquatic enterprises to realize digital and intelligent management.

The invention discloses a digital shared heavy truck transportation management system. The system comprises an original data acquisition module, a transportation management feature acquisition module, a transportation supply and demand prediction module, a transportation demand scheduling module and a transportation demand intelligent management module. The invention relates to the technical field of information data processing, in particular to a digital shared heavy truck transportation management system, which innovatively adopts an improved feature clustering processing method, combines a multi-level feature selection mechanism fusing physical distribution and statistical strength, and improves the transportation efficiency. A more accurate, stable and input feature set is provided for the prediction model; a feature structural hierarchical modeling strategy and a gating fusion feature generation mechanism are innovatively proposed, and the precision and stability of regional-level transportation task prediction are improved; a regional supply and demand balanced multi-target transport capacity allocation optimization strategy is innovatively proposed, the response efficiency and the operation stability of shared scheduling are effectively improved, and intelligent management of new energy heavy truck transportation is realized.