2058 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 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.

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.

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.

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 unmanned material transportation system comprises an intelligent equipment cluster and a remote centralized dispatching system, and the intelligent equipment cluster is connected with the remote centralized dispatching system; the intelligent equipment cluster comprises horizontal transportation intelligent equipment used for same-layer transportation of materials, an intelligent construction elevator used for cross-layer transportation of the materials and a stacking robot used for sorting, taking and placing of the materials. The remote centralized control system comprises a front-end interface and a rear-end server, wherein the front-end interface is used for issuing tasks and monitoring material processes and equipment states, the rear-end server is used for task scheduling, task path planning, task conflict monitoring and management and transmitting collected information to the front-end interface for display, and the front-end interface is connected with the rear-end server. And the intelligent equipment cluster and the back-end server are in two-way communication through the real-time communication module. Material sorting and transporting can be automatically completed, manual operation on a construction site can be reduced, the equipment efficiency is improved, and the transporting cost is reduced.

The present disclosure describes co-channel coexistence mechanisms for mitigating interference between multiple radio access technologies (RATS) that operate in the same or neighbouring channels, frequency bands, and / or bandwidths. The co-channel coexistence mechanisms include variable transmission intervals including variable gaps or guard periods, and utilizing network allocation vectors (NAV). Other embodiments may be described and / or claimed.

The invention discloses a photovoltaic cleaning robot suspension method and a photovoltaic cleaning robot transportation system, and belongs to the technical field of photovoltaic cleaning robots. The photovoltaic cleaning robot transportation system comprises a carrying unmanned aerial vehicle and a carrying assembly. In the carrying assembly, a winch suspends a grabbing unmanned aerial vehicle through a rope, and the grabbing unmanned aerial vehicle grabs the photovoltaic cleaning robot; air outlets are formed in any one of the front, back, left and right side walls of a robot body in the photovoltaic cleaning robot; the method comprises the steps that under the condition that the lowering length of a rope exceeds the preset length, the wind direction of current environment wind acting on the photovoltaic cleaning robot is obtained; and according to the wind direction of the current environment wind, a fan is controlled to blow air to the outside of the machine body through at least part of air outlets in at least one side wall, so that the direction of a first acting force acting on the photovoltaic cleaning robot through blowing is opposite to that of a second acting force acting on the photovoltaic cleaning robot through the current environment wind. According to the embodiment of the invention, the suspension stability of the photovoltaic cleaning robot can be improved.

The invention belongs to the field of intelligent transportation system planning and industrial artificial intelligence, and particularly relates to a one-order system coal multimodal transport interpretable customer portrait construction method, which comprises the following steps: A, acquiring a customer coal multimodal transport mode selection questionnaire and historical one-order system coal multimodal transport waybill data, and carrying out data processing and data fusion; b, using a causal discovery FCI algorithm to construct a causal graph, screening out feature variables having a causal relationship with customer intermodal mode selection, and removing pseudo-correlation features at the same time; c, performing clustering by using a k-prototype hybrid clustering method to obtain customer categories; and D, training a LightGBM classification model to predict the category of the customer, checking the portrait precision, describing the customer portrait in combination with an SHAP interpretable analysis method, and providing decision support with scientificity and business landing for coal multimodal transport customer accurate classification and single system service strategy optimization.

The invention discloses a chaos annealing ant colony-based adversarial blocking timeliness emergency material transportation toughness intelligent decision-making method, and relates to the technical field of intelligent emergency scheduling and optimization. The method comprises the steps of 1, extracting scene data and converting the scene data into model parameters; step 2, constructing a mathematical model for survivability optimization; 3, initializing algorithm parameters and generating an initial path; 4, dynamically adjusting the temperature and the pheromone volatilization rate; 5, generating an adversarial blocking perception path and implementing detour repair; 6, updating pheromone distribution based on an annealing criterion; and step 7, locking the critical path and outputting an optimal transportation scheme. According to the method, timely delivery of materials can be guaranteed in a complex road network blocking and emergency demand scene, the timeliness and toughness of an emergency transportation system are improved through a chaos annealing mechanism and an adversarial blocking simulation technology, the method can be widely applied to the fields of natural disaster rescue, public health event response and the like, and a scientific basis is provided for emergency decision making.

The intelligent cargo transportation system for the stereoscopic warehouse comprises a super high-rise stacking machine module, the super high-rise stacking machine module comprises a stacking machine body, a horizontal shaft walking mechanism and a lifting shaft lifting mechanism, the horizontal shaft walking mechanism and the lifting shaft lifting mechanism are arranged on the stacking machine body, and the height of a stand column of the stacking machine body exceeds 30 m; the dynamic anti-swing control module comprises a synchronous and isochronous mode switching unit, an S-shaped curve compensation unit and a motion time sequence decoupling unit; the S-shaped curve compensation unit is used for generating an S-shaped speed regulation curve of the horizontal shaft walking mechanism and the lifting shaft lifting mechanism; the motion time sequence decoupling unit is used for calculating the delay starting time of the horizontal shaft walking mechanism relative to the lifting shaft lifting mechanism, and time sequence coordination of motion of the two shafts is achieved; and the self-adaptive PID controller is used for dynamically adjusting control parameters based on the real-time data of the multi-mode sensing module and compensating the running posture of the stacking machine in real time so as to restrain swinging. The method has the effect of effectively improving the super high-rise transportation stability of the stereoscopic warehouse.

The invention belongs to the technical field of conveyor coal flow monitoring, and aims at solving the problem that an existing coal flow monitoring method is insufficient in precision. According to the belt conveyor coal flow monitoring method based on the inspection robot and the monocular vision, coal flow images are dynamically collected through the inspection robot, accurate segmentation of a coal flow area is achieved through a deep learning algorithm, and a coal flow three-dimensional point cloud is reconstructed in combination with a monocular depth estimation technology; and finally, qualitative and quantitative analysis of the coal flow is realized. Compared with a traditional method, the method has the advantages of non-contact measurement, full conveying belt coverage, high calculation efficiency, adaptability to complex environments and the like, and reliable data support can be provided for a coal mine intelligent transportation system.