3037 results about "Transit system" patented technology

The invention discloses a freight logistics information intelligent tracking management method and system, and belongs to the technical field of freight management, and the method comprises the steps: obtaining unique identification information of a freight unit, building the association with order content, carrier information and a preset transportation path, constructing a freight entity relation graph, and carrying out the management of the freight logistics information; performing preprocessing and modal fusion on multi-source real-time data in a transportation process, and extracting a structured cargo state feature set; based on a dynamic space-time modeling mechanism, the current freight state is intelligently judged, and a risk prediction result set is generated; predictive reconstruction is carried out on the transportation path in combination with a risk result; automatically executing path reconstruction, vehicle scheduling or user notification after the abnormal event is identified; synchronizing the evolution state and the risk data to a cloud platform for subsequent task optimization; according to the invention, full-flow intelligent sensing, real-time scheduling and abnormal closed-loop response in the logistics process are realized, and the transparency, robustness and aging control capability of a transportation system are remarkably improved.

The disclosure provides an intelligent horizontal transportation system for automatic loading or unloading at a container terminal. The system includes a plurality of autonomous transport robots (ATRs) and an ATR control system. The plurality of ATRs are configured to perform horizontal transportation tasks. The ATR control system is in real-time communication with the plurality of ATRs to manage and control the plurality of ATRs; the ATR control system is in real-time communication with a terminal management system, an automated yard crane, and an automated quay crane, so as to coordinate task scheduling between the automated yard cranes, automated quay cranes, and the plurality of ATRs. The ATR control system includes a task scheduling module, a dynamic path planning module, a standardized control interface module, a traffic management module, a lock station management module, a vehicle sequencing module, a charging scheduling module, a parking management module, and a remote driving module.

A system to transport infant children is provided. The system includes a base configured to be secured to a portion of an automobile; a chassis independent from the base; a first release mechanism releasably coupling the chassis to the base; an infant car seat independent from the base and the chassis; a second release mechanism releasably coupling the infant car seat to the chassis; wherein the chassis and the infant car seat are releasable from the base as a combined unit upon operation of the first release mechanism; and wherein the infant car seat is releasable from the combined unit of the base and chassis upon operation of the second release mechanism.

The invention discloses a cargo transportation state monitoring system based on the Internet of Things, and relates to the technical field of logistics management. Electromagnetic signal intensity of each frequency band in a cargo box is recorded in real time through an electromagnetic interference monitoring module, and multi-point temperature data and temperature deviation information collected by a redundant sensor module are combined; the data processing and transmission module is used for preprocessing the signals and uploading the signals to the cloud platform, and the comprehensive analysis module extracts spectrum interference intensity abnormal features and temperature difference fluctuation features and accurately evaluates the influence of electromagnetic interference on the sensor data precision; then, the interference division module divides the interference event into instantaneous interference and continuous interference, the early warning processing module delays the instantaneous interference to trigger the temperature control equipment to adjust and send low-level early warning, and the continuous interference is deeply analyzed to generate a graded early warning signal and guide a coping strategy; and the data reliability, the equipment stability and the cargo protection capability of the cold chain transportation system in a complex electromagnetic environment are effectively improved.

The present disclosure relates to configured artificial intelligence methods and systems and related transportation systems and methods, including software-defined vehicles, for transportation systems using sensor and other data, and the integration of a transportation system with an AI convergence system of systems, providing a multi-layered system for intelligent automation and data-driven decision making across operational aspects of a transportation system.

A convertible stroller is provided that includes a shell configured to support an infant. A pair of rear legs are pivotally coupled to the shell and a pair of front legs are pivotally coupled to a respective rear leg. The rear legs and the front legs are retractable to a first transport condition, and deployable away from the shell to a second transport condition usable as a stroller. A front wheel may be coupled to each front leg that is rotatable about a horizontal axle in the second transport condition. Each front wheel has a post that acts as an axis of rotation in the second transport condition. A cam sleeve is provided that is movably disposed on each post. In a first position, the cam sleeve allows rotation about the axis of rotation, and in the second transport condition prevents rotation of the front wheel about the axis of rotation.

The present disclosure relates to transportation and related methods and systems including software-defined vehicles, vehicle operating states, an identity management system, an intelligent digital twin system that creates, manages, and provides digital twins for transportation systems using sensor and other data, and the integration of a transportation system with an AI convergence system of systems, providing a multi-layered system for intelligent automation and data-driven decision making across operational aspects of a transportation system.

The method includes: S1: formulating a layered game architecture for a port-and-ship integrated energy and transportation operation; S2: establishing a port-and-ship layered game optimization model based on an optimized objective function and an optimized constraint condition of a port and an optimized objective function and an optimized constraint condition of a ship; and S3: based on the port-and-ship layered game optimization model, solving, by the layered game architecture, an optimal integrated operation method for the port-and-ship energy and transportation system through a KKT (Karush-Kuhn-Tucker) optimality condition solving method. The port-and-ship layered game optimization model means that the port, as a superior guider, formulates and executes a strategy, the ship, as an inferior follower, makes corresponding responses by taking the strategy formulated by the port as a constraint, and the ship updates its strategy according to the responses made by the ship till reaching a game equilibrium.

Autonomous mobile robots for transporting carts are described. An example robotic cart transport system includes a cart for transport and a robotic transport. The robotic transport includes a transport cab and a load handler. The transport cab includes a drive system and a sensor array positioned over the transport cab. The load handler includes a load base supported by a directable caster wheel, a lift table positioned over the load base, a lift abutment anchor, and a lift drive. The robotic transport can autonomously position the load handler under a cart, and the lift drive can raise the lift table up and off of the top surface of the load base, to a lifted position seated against the lift abutment anchor. The lift table will contact and lift the cart in this motion, and the cart can be transported to a new location by the robotic transport.

The invention provides a coal quantity detection method and device based on laser radar and vision fusion, and belongs to the technical field of coal quantity detection of underground coal mine conveying belts. According to the technical scheme, the coal quantity detection method based on laser radar and vision fusion comprises the following steps: S1, sensor joint calibration; s2, data acquisition; s3, identifying a coal quantity area; s4, complementing the depth image; and S5, calculating the coal quantity. The invention further provides a coal quantity detection device which comprises a speed sensor, a laser radar, an industrial camera, a computer and a human-computer interface. The method has the beneficial effects that through multi-sensor data fusion and a deep learning algorithm, underground complex environment interference is overcome, and high-precision real-time detection of the coal quantity is realized; the detection device has the explosion-proof and dust-resistant characteristics, and the detection method comprises environment self-adaptive correction and lightweight calculation, and can be widely applied to intelligent mine transportation systems.

The invention discloses a circulating type gravity energy storage transportation system which comprises a master controller, an annular rail, a high-position storage yard and a low-position storage yard, a transportation train is composed of a plurality of carriages which are flexibly connected and arranged on the annular rail, a low-position running rail is arranged on the annular rail, the high-position running rail is provided with a linear loading and unloading section, and the low-position running rail is provided with a linear loading and unloading section. A plurality of grabbing parts are arranged on the high-position storage yard and the low-position storage yard and move back and forth between the loading and unloading section and the stacking area, and the hoisting device is electrically connected with the master controller. By means of the double-circulation design of train circulation operation and heavy block rapid loading and unloading, the core pain points that an existing gravity energy storage system is not coherent in operation and low in efficiency are effectively solved, and the energy storage efficiency is improved. And a reliable system solution is provided for realizing large-scale, high-efficiency and fast-response gravity energy storage commercialized application.

The invention relates to a big data-based passenger-roll transport demand prediction and ship intelligent scheduling method and system. The method comprises the steps of obtaining multi-source shipping data for a target area; inputting the multi-source shipping data into the spatial-temporal feature mining model, and predicting passenger rolling transportation demand information of the target area; acquiring ship real-time position, passenger carrying capacity, energy consumption data and port real-time operation state in the target area, and dynamically generating an optimal scheduling scheme by adopting a shipping scheduling model in combination with the predicted passenger transport demand information; the shipping scheduling model is obtained by interacting a decision scheduling model with an intelligent agent corresponding to the passenger roller transportation system and performing iterative training by adopting a reinforcement learning algorithm; and converting the optimal scheduling scheme into visual information, pushing the visual information to operation terminals of the ship and port workers so as to start corresponding shipping scheduling operation, and monitoring the execution effect of the shipping scheduling operation in real time.

The invention belongs to the technical field of coal mine underground automatic driving, and provides a coal mine tunnel simultaneous positioning and mapping method and system based on multi-modal data fusion in order to solve the problem of reliable positioning and navigation of an automatic driving vehicle in a large coal mine underground tunnel. According to the invention, a high-precision mine environment three-dimensional point cloud map of a unified navigation coordinate system in a global range from a mine ground plaza to an underground haulage roadway can be established, and the six-degree-of-freedom pose of an underground autonomous vehicle is calculated. Accurate positioning of the underground automatic driving vehicle in a degraded environment such as the coal mine underground roadway is achieved, a coal mine underground roadway simultaneous positioning and mapping system is built, the posture state of the underground automatic driving vehicle can be accurately estimated in an underground space where global satellite navigation signals are lacked, the underground accurate positioning requirement is met, and the positioning accuracy of the underground automatic driving vehicle is improved. The method is of great significance in realizing application of intelligent unmanned transportation equipment in underground coal mines and promoting intelligent and unmanned construction of coal mine auxiliary transportation systems.

A method of operating a vehicle in a transportation system includes: receiving data collected for each of a set of users based on interactions of the set of users with a user interface of the vehicle including at least one of a vehicle data system, a vision system, and a connected system; performing robotic process automation on the interactions; learning changes in driving style using an artificial intelligence system based on the robotic process automation; and undertaking an action within the vehicle on behalf of the user based on the learned changes in driving style.

A method of delivering a receptacle to an instrument includes the steps of supporting a receptacle in a carriage, activating an electric motor to move the carriage between a first location and a second location of the instrument while the receptacle is supported by the carriage, applying a clamping force to the receptacle as the carriage moves from the first location to the second location, and releasing the clamping force from the receptacle as the carriage moves from the second location to the first location.

The invention provides a control method and system for automatic carrying equipment of a special transportation line. The method comprises the following steps: constructing a local environment model based on micro-gridding to collect and transmit equipment state information; performing task allocation and path planning on the automation equipment according to the micro-grid environment model; dynamically optimizing task allocation and path planning in a global range according to the task allocation and path planning in each micro-grid; the execution conditions of optimized task allocation and path planning are monitored in real time, the execution sequence of tasks and path planning are dynamically adjusted through an intelligent scheduling algorithm, and flexible adaptive adjustment is made according to resource states and environment changes. Through combination of the micro-grid network and the ant colony algorithm, the problems of single-point fault risk, poor path planning adaptability, inflexible task scheduling and the like in a traditional automatic transportation system are solved, and a brand new solution is provided for efficient, reliable and flexible operation of an automatic transportation special line.

The invention discloses a suspension conveying system for glass processing feeding, and relates to the technical field of glass processing, the suspension conveying system comprises a chain, a track is arranged right above the chain, the chain is fixedly connected with a plurality of connecting shafts, and the bottom of each connecting shaft is provided with a glass placing assembly; through cooperation of the clamping plates, the glass needing to be conveyed is placed on the base and obliquely leans against the base, the upper half portions of the clamping plates are kept perpendicular while the clamping plates gradually get close to the base, the two sides of the glass are clamped, and compared with the mode that the glass is directly placed on a conveying frame, friction between the glass and the placing position can be avoided, so that the glass is protected, and meanwhile the glass conveying efficiency is improved. Noise generated by hanging the transportation system is reduced; the air bag is matched with the second hollow wheel, the first hollow wheel and the track are lubricated, the lubricating state is kept between the first hollow wheel and the track, noise generated in the suspension conveying system is reduced, and the conveying efficiency of the suspension conveying system is improved.

The invention discloses a high-density stereoscopic warehouse ex-warehouse scheduling and transportation system and method based on RGVs, and relates to the technical field of warehouse ex-warehouse scheduling and transportation, and the system comprises a scheduling management center which is in communication connection with a virtual model construction module, a task analysis and planning module, a task distribution module and a real-time monitoring intervention module. Wherein the modules are connected through electric signals; and the virtual model construction module is used for constructing a virtual model of the warehouse and the RGV. By constructing the virtual models of the warehouse and the RGVs and combining the digital twinning technology, the state of a physical entity can be synchronized in real time, the space-time paths of the multiple RGVs can be accurately simulated, path conflicts and traffic congestion are effectively avoided, the efficiency of warehouse-out operation is remarkably improved, task delay caused by the path conflicts is greatly reduced, and the working efficiency of warehouse-out operation is improved. And the accuracy and timeliness of warehouse-out operation are ensured, so that the overall logistics efficiency is improved.

An monitoring method for a passenger transportation system embodied as an elevator, escalator, or moving walk applied in a monitoring device is provided, and it relates to the technical field of elevators, escalators and moving walks. The monitoring device includes a plurality of information processing modules. The monitoring method includes: collecting a plurality of operating parameters of the system; executing a first preset operation by at least one of the information processing modules to store the operating parameters that are currently collected, wherein there is at least one different operating parameter that is stored between any two ones of the information processing modules; polling the information processing modules and determining at least one exceptional operating parameter and its exception time information based on polling results to obtain system monitoring data; and publishing the system monitoring data to a message forwarding server end, wherein the system monitoring data is configured to enable a system fault predicting device to predict a system fault according to the system monitoring data based on a support vector machine. A monitoring device, a fault predicting method and device, equipment, medium and program product are also provided.

A banknote transport system 10 includes: an air blowing tube 100 that forms an air flow path 101; a moving body 200 that travels inside the air blowing tube while receiving an air flow within the air blowing tube; a transport path 401 (a transport tube 400) having at least a portion arranged along the air blowing tube to be adjacent to the air blowing tube; and a transport body 500 configured to be able to retain a banknote and traveling inside the transport path. The moving body includes a moving body magnet 213, and the transport body includes a transport body magnet 523. The banknote transport system moves the transport body in conjunction with movement of the moving body receiving the air flow due to attraction and / or repulsion based on a magnetic force applied between the moving body magnet and the transport body magnet.

The invention relates to the technical field of coal mine transportation system state monitoring, in particular to a cloud side-end collaborative coal mine transportation system state monitoring method and a cloud side-end collaborative coal mine transportation system state monitoring model. In order to solve the problems of difficult multi-modal data fusion, poor dynamic response and insufficient model generalization of a coal mine transportation system, the invention provides a new cloud side-end collaborative coal mine transportation system state monitoring method. Comprising the following steps of multi-modal data acquisition, multi-modal data synchronous transmission, edge computing node data compression, lightweight sensitive feature extraction and transmission, federal learning cross-mine data collaboration, cloud teacher large model construction, knowledge distillation driven student model construction and diagnosis early warning. According to the method, knowledge distillation and federal learning are fused, so that real-time monitoring, accurate diagnosis and efficient maintenance of the coal mine transportation system are realized.

The invention discloses an intelligent self-adaptive industrial raw material transportation system based on digital twinning, which comprises a multi-source positioning sensing module composed of a UWB positioning unit, an IMU compensation unit and an RFID verification unit, an edge calculation module and a dynamic actuator, the system integrates multi-sensor data through Kalman filtering to realize high-precision positioning, and based on a digital twinning model, the intelligent self-adaptive industrial raw material transportation system based on digital twinning is obtained. An improved deep reinforcement learning algorithm is adopted for dynamic obstacle prediction and real-time path planning, an optimal transportation path is generated, a dynamic actuator controls the transportation vehicle to move according to the planned path, and self-adaptive navigation and obstacle avoidance are achieved; through the improved deep reinforcement learning algorithm and in combination with dynamic obstacle prediction, the problem of path failure caused by a local optimal solution is effectively avoided, the path diversity exploration and dynamic obstacle avoidance capability in a complex environment is enhanced, and the planning robustness is improved.

The invention discloses a control method and device for a transportation system, and the method comprises the steps: obtaining stator track information corresponding to a real scene, displaying a virtual stator track corresponding to the stator track information on a graphical user interface, and enabling the stator track to be formed by splicing and combining a plurality of stator modules; position information of a rotor on a stator track in a real scene is obtained, rotor information is displayed on a virtual stator track on the graphical user interface in a real-time overlapping mode on the basis of the position information of the rotor, and the rotor information comprises a rotor control corresponding to the rotor; and receiving a control instruction input through the graphical user interface to control the operation state of the transportation system in the real scene. According to the method, the stator track information and the rotor information corresponding to a real scene can be visually displayed in real time, the transportation system is controlled on a visual interface, and the monitoring and control precision and efficiency of the transportation system are improved.

The invention discloses an intelligent scheduling and transportation system for a port unmanned flat car, which belongs to the technical field of port unmanned transportation, and is technically characterized by comprising a cloud intelligent scheduling platform, an unmanned flat car transportation system and a car cloud collaboration module, the cloud intelligent scheduling platform comprises a vehicle cloud control system, an operation task management system, an automatic driving operation monitoring system, an intelligent network connection operation scheduling system and a port scheduling collaborative management system; the unmanned flat car transportation system comprises intelligent sensor hardware, global fusion situation awareness, multi-redundancy fusion positioning, high-precision motion control and anthropomorphic driving decision planning. And the vehicle cloud cooperation module comprises task instruction interaction and vehicle real-time state reporting, and has the advantages that through seamless butt joint with automatic container hoisting equipment, the whole-process unmanned operation of transportation and loading and unloading operation is realized, the port operation efficiency and the intelligent level are improved, and the intelligence and the high efficiency of the port unmanned transportation system are greatly improved.

The invention discloses a finite-time active-disturbance-rejection control method for a multi-unmanned-aerial-vehicle hanging transportation system. According to the finite-time active-disturbance-rejection control method, a finite-time super-spiral sliding-mode observer is used for carrying out observation compensation on load errors and lumped disturbance of the load errors, a finite-time sliding-mode controller is constructed, total tension for controlling load movement is determined, and an optimal tension distribution scheme is solved. External disturbance is introduced, a load is taken as a virtual leader, a leader following cluster model is constructed, a finite time reduced-order proportional differential observer and a finite time controller are designed, formation finite time control is carried out, and an expected trajectory of each unmanned aerial vehicle is determined; an actuator fault model and a virtual control quantity are introduced, an unmanned aerial vehicle dynamics model is constructed, and a lumped disturbance reconstruction state error system is introduced; and designing a finite-time reduced-order generalized parameter estimation observer and a finite-time nonsingular terminal integral sliding mode fault-tolerant controller, carrying out unmanned aerial vehicle position loop control and attitude loop control, and realizing finite-time active-disturbance-rejection control of the multi-unmanned aerial vehicle hanging transportation system.

The invention discloses a digital twin model driven photovoltaic field construction transportation system and method, and belongs to the technical field of photovoltaic field construction. The system comprises a digital twin module, a construction planning and design module, a monitoring and management module and an interaction module. The digital twinning module constructs a three-dimensional digital twinning model; the construction planning and design module generates a candidate construction material transportation path scheme and a candidate construction equipment scheduling scheme based on a photovoltaic field construction transportation objective function; driving the digital twin model to execute a simulation task, and adjusting the candidate construction material transportation path scheme and the candidate construction equipment scheduling scheme based on a simulation result; the monitoring and management module generates a monitoring result based on the real-time monitoring data of the construction site of the photovoltaic field area; and the interaction module provides information of a photovoltaic field construction site for a user. The construction efficiency is improved, the construction cost is reduced, quality control is achieved, and construction safety and flexibility are guaranteed.

The invention belongs to the technical field of energy storage, and particularly relates to a vertical circulation type single-well gravity energy storage system based on a linear motor, the vertical circulation type single-well gravity energy storage system comprises a weight storage system, an energy storage unit, a transportation system and a power system, and the weight storage system comprises an upper-layer energy storage chamber and a lower-layer energy storage chamber which are arranged up and down; the energy storage unit comprises a plurality of energy boxes and a plurality of weights arranged in the upper-layer energy storage chamber and the lower-layer energy storage chamber; the transportation system comprises a transportation track penetrating through the upper-layer energy storage chamber and the lower-layer energy storage chamber, and the transportation track is used for transporting the energy box; the power system comprises a secondary linear motor arranged on the conveying rail and a primary linear motor arranged on the energy box and is used for providing power for the energy box. The energy storage capacity expansion mode is simple, the expansion cost is low, the energy storage efficiency is high, the continuity of output or input power can be realized, and the fault tolerance performance is high.

The invention discloses a multi-locomotive path planning method and system based on a Q-learning algorithm, and relates to the technical field of iron-steel interface locomotive path planning, and the method comprises the steps: obtaining environment data, building a transportation system environment model, and defining states and actions; performing path optimization on the vehicle path through a Q-learning algorithm to obtain an initial path plan; and the central control system receives the key information in real time, and dynamically adjusts vehicle path planning in real time through a Q-learning algorithm. According to the method, through learning and optimization of the Q-learning algorithm, the central control system can find the shortest path, the transportation time and distance are reduced, and the transportation efficiency is improved; the path planning is dynamically adjusted through the central control system, so that the congestion and conflicts of track routes are avoided, and the smoothness of the transportation process is ensured; by using the Q-learning algorithm, the method can adapt to a dynamically changing environment, and normal operation of the system can be ensured even if an accident occurs.

In order to achieve a conveyance system that enables efficient conveyance, a conveyance system includes a first carrier configured to travel on a first track in a state where the first carrier holds a conveyance target; and a second carrier configured to travel on a second track in a state where a conveyance target is placed on a placement portion of the second carrier, the first carrier being capable of, with use of a transfer section thereof, transferring the conveyance target between the first carrier and the placement portion of the second carrier.

The invention relates to an access device for a passageway, in particular for an entrance system of a self-service store, with at least one support element on which at least one locking element is pivotably arranged and which can be moved between a position closing a passageway and a position releasing the passageway, wherein the access device comprises a mounting foot that can be mounted on a floor and which forms a mounting plane over which it can be placed on the floor, characterized in that the mounting foot and the support element are two separate components and that the support element can be detachably fixed to the mounting foot, wherein the mounting foot has at least one connecting element extending perpendicular to the mounting plane onto which the support element can be slid.and wherein the support element fixed to the mounting base completely conceals it at least in one viewing direction along a longitudinal extension direction of the support element.