1688 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.

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 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 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.

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 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.

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 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.

The invention discloses a fabricated building self-optimization energy-saving system and method based on DRL and BIM, and relates to the technical field of building energy management and intelligent control. The system comprises a BIM data acquisition module used for storing and providing BIM data of a prefabricated building; the energy simulation module is used for constructing a digital twin model based on BIM data, providing a simulation environment for the DRL control module in an offline training stage, and assisting verification and retraining in an online stage; the environment monitoring and execution module is used for acquiring operation parameters and energy consumption data in real time through a sensor, an actuator and an interface butted with a transportation system and executing a control instruction; and the DRL control module obtains an optimization control strategy through simulation interaction learning, generates an instruction according to real-time data in an online stage, and issues and executes the instruction. Energy consumption and carbon emission in the whole process of the fabricated building can be optimized, the energy utilization efficiency and comfort are improved, and the self-adaptability and long-term stability of the system are enhanced.

A system to transport infant children is provided. The system includes a base, a chassis releasably coupled to the base, and an infant car seat releasably coupled to the combination of the chassis and the base. The infant car seat having a first handle operable in a first function to release the infant car seat from the combination of the chassis and the base. The chassis comprises a frame; a pair of rear legs pivotally coupled to the frame at a rear leg pivoting axis; and a pair of front legs, each front leg pivotally coupled to a respective rear leg at a front leg pivoting axis, wherein the rear legs and the front legs are retracted and proximate the frame in a first transport condition, and wherein the rear legs and the front legs are deployable away from the frame to a second transport condition.

A trailer jack and transport system providing improved rolling and steerable motion to sport, recreational and utility trailers, when operating on diverse kinds of ground surfaces, including pavement, dirt, sand, and mud, without use of caster-style wheels. The trailer jack and transport system employs a spherical load-bearing transport ball supported within a frame assembly and configured to allow the spherical wheel to freely rotate in any orientation, on ground surfaces of a diverse nature during system operation.

The present application discloses a contact network device, a smart car, a smart network system and a transportation system. The contact network device is installed on the car. The smart network system includes a network information system and a network power supply system. The network power supply system includes a contact network connected to the contact network device. The contact network provides electricity and basic sensor information for the car. The network information system interconnects the contact network device, the smart car and the contact network information to form a vehicle network. The smart car equipped with the contact network device and the smart network system constitute a new transportation system. When the car is traveling on a road with smart network system facilities, the smart network system provides electricity and sensor information, and the car is driven by a person or automatically drives forward. When the car is traveling on a road without smart network system facilities, it is powered by a battery or an internal combustion engine, and can be driven by a person or a simple remote control driving system provides information to enable the car to move forward, solving the problems of electric vehicle charging, endurance and automatic driving application.

The invention discloses a fuselage-free unmanned aerial vehicle, an aviation container and a modular transportation system and method, and aims to solve the problems of high transportation cost of traditional aviation goods and low transportation efficiency of land goods. The aircraft is not provided with a warehouse and adopts a flying wing type layout or a conventional layout, wings in the flying wing type layout or the conventional layout are used for generating lift force and enter a straight wing flight mode after taking off, and the wings are provided with power systems, flight control systems and mounting structures used for being detachably connected with the streamline aerodynamic configuration aviation containers. Through the dynamic combination mode of the aircraft and the containers, the single aircraft can achieve the operation cycle of circularly transporting at least three containers. Through continuous container reloading operation, the aircraft can keep a continuous flight state without waiting for a loading and unloading process. And meanwhile, the container can be quickly circulated among different aircrafts through the modular design. According to the transportation mode, optimal configuration of transportation resources is achieved through efficient cooperation of the aircraft and the container.

A payload including a housing provided with one or more toothed guides or with one or more docking mechanisms, each of which is configured to detachably toothedly interact with an unmanned aircraft apparatus being docked so as to enable the movement of said docked unmanned aircraft apparatus with respect to the housing of the payload, wherein the housing of the payload is further configured to detachably toothedly interact with yet another (other) unmanned aircraft apparatus so as to enable the action of said yet another unmanned aircraft apparatus onto said docked unmanned aircraft apparatus for withdrawal of the latter from interaction with the housing of the payload. Furthermore, embodiments of an air transport system include two or more unmanned aircraft apparatuses and one of the payload.

The invention discloses a deep sea mineral lifting unmanned transportation system. According to the system, an unmanned carrier-intelligent execution-elastic scheduling framework is constructed, and the system comprises four modules including unmanned carrying equipment, a communication network system, a scheduling control center and a support safeguard system. The unmanned carrying equipment realizes mineral transportation based on buoyancy driving; the communication network adopts a layered redundant architecture of underwater sound OFDM and a laser emergency link, and high-reliability communication and centimeter-level positioning are guaranteed; the scheduling control center improves the operation efficiency through intelligent task allocation and trajectory planning; the support and guarantee system integrates energy management, digital twin monitoring and emergency response mechanisms. The operation process adopts a mode of mainly unmanned autonomous and assisted by remote monitoring, and the links of ballast diving, acousto-optic docking, buoyancy regulation and control, mother ship dynamic unloading and the like are covered. The deep-sea mineral lifting efficiency, maneuverability and reliability are remarkably improved, and core technical support is provided for deep-sea resource development.

The invention relates to the technical field of open pit coal mine coal transmission control, and provides a coal flow-following self-adaptive start-stop control method, device and equipment and a storage medium, and the method comprises the following steps: obtaining operation parameters of a sealing-tape machine step by step from front to back according to a coal flow direction; according to the coal flow direction, based on the obtained operation parameters of the last-stage sealing-tape machine K, the starting time of the next-stage sealing-tape machine K + 1 is calculated, the starting time of all stages of sealing-tape machines is obtained in sequence, and then starting control over the sealing-tape machines is achieved; wherein when the sealing-tape machine abnormally runs due to coal blockage, the running mode of the sealing-tape machine is switched from coal flow running to reverse coal flow running, and coal flow self-adaptive start-stop control of the sealing-tape machine is completed. The coal flow starting mode is improved through data driving of state sensing, and the double-mode control strategy of clockwise starting and counterclockwise stopping and counterclockwise starting and clockwise stopping is fused, so that the system starting efficiency is improved, the energy consumption is reduced, the intelligent switching capability under the abnormal working condition is achieved, and efficient and safe operation of the coal mine transportation system is achieved.

The invention relates to the technical field of path planning, in particular to an intelligent sorting path dynamic planning method based on digital twinning. The method comprises the following steps: constructing a digital twinborn body corresponding to a medical logistics transportation system, obtaining multi-source data corresponding to a transportation robot, carrying out space-time alignment and abnormity cleaning processing, and generating a standardized robot operation data set, a material attribute feature set, an environment state parameter set and an order priority matrix; motion feature parameters are extracted based on a standardized robot operation data set, and material sorting constraint parameters are analyzed in combination with a material attribute feature set; meanwhile, constructing an environment constraint matrix; and carrying out association analysis on the order priority matrix and the material sorting constraint parameters, constructing a multi-objective optimization function to carry out sorting path planning analysis and virtual simulation testing, and carrying out dynamic adjustment iteration updating at the same time to generate a corresponding medical material sorting dynamic optimization path. According to the invention, the medical logistics sorting path planning efficiency can be improved.

The present application belongs to the field of wafer cassette transport equipment, and specifically relates to an overhead crane, an overhead crane transport system, and a control method thereof. The overhead crane includes a main body, a detection device, and a posture adjustment device. The main body is used to travel along a main track, pick up and place, and transport goods, including wafer cassettes. The detection device is provided on the main body and is used to detect environmental information. The posture adjustment device connects the main body and the detection device. The posture adjustment device can adjust the angle of the detection surface of the detection device relative to the main body by adjusting the posture of the detection device. During the operation, maintenance, and troubleshooting of the overhead crane, if the detection device on the overhead crane produces an angular or positional offset, the posture adjustment device can correct the posture of the detection device to ensure the normal operation of the overhead crane transport system.

The disclosure relates to an electromagnetic transport system and to a method for operating the system. The system comprises a stator and at least one mover which is movable with respect to the stator along a path. The system also comprises a first positioning system with sensors arranged on the stator, which interact with a first encoder track of the at least one mover to determine a position of the at least one mover. The system comprises a second positioning system in at least one zone of the system. That second positioning system comprises at least one sensor which is arranged in the at least one zone, wherein the sensor detects or scans a second encoder track attached to the at least one mover to determine the position of the at least one mover in the at least one zone with a higher accuracy than with the first positioning system.

The air freight loading efficiency and the flight safety are crucial to the efficient operation of a transportation system. Therefore, aiming at the problem of multi-cargo loading optimization under the complicated constraint condition of the cargo hold, a multi-objective optimization model containing business load limitation, gravity center shift, volume utilization rate and rotational inertia is constructed, and a solution method based on a grey wolf genetic hybrid algorithm is provided. A high-quality initial population is generated by adopting a two-stage initialization strategy, and evaluation is performed through a fitness function. And dynamically adjusting a step length coefficient and a mutation probability to realize self-adaptive adjustment of the search capability. In the selection stage, excellent individuals are reserved by using a tournament strategy, and meanwhile, the population quality is improved through an alpha wolf direct inheritance mechanism. In the breeding stage, the feasibility and diversity of solutions are enhanced through single-point crossing and mutation operation based on the gravity center distance. And after iterative updating, outputting the scheme with the highest evaluation value as the optimal loading scheme. According to the algorithm, the loading balance and the calculation efficiency are improved, and the high loading rate of the space in the cabin is ensured.

A foundation floor transport system for use in combination with a transport vehicle includes a frame that is sized and configured for selective coupling with a tongue adapter and an axle adapter, defining a transport configuration, wherein a tongue adapter attached to the tongue adapter is secured to the transport vehicle for transporting the frame; and wherein the tongue adapter and axle adapter may be selectively coupled to each other, defining a return haul configuration