2393 results about "Parking space" patented technology

The invention relates to the technical field of charging parking space guiding control, and particularly discloses a parking space charging reservation and intelligent guiding method, device, equipment and medium, and the method comprises the steps: obtaining vehicle battery state data and a user reservation time window through an Internet of Things terminal; synchronously acquiring charging pile state data, real-time traffic flow data and power grid load information in the parking lot; fusing the obtained multi-source heterogeneous data based on a federated learning framework, constructing a dynamic charging demand prediction model, and predicting charging pile occupancy rate distribution in a preset time period by using a space-time diagram convolutional network; through the combination of the dynamic charging demand prediction model and the space-time diagram convolutional network, the occupancy rate distribution of the charging piles is accurately predicted, the scheduling strategy of the charging piles is adjusted in real time, the problem of unreasonable resource allocation is avoided, and the waiting time of a user is shortened; the application of the quantum genetic algorithm optimizes the matching process of the charging pile through global optimal solution search, thereby ensuring the balance of the power grid load and the rationality of the charging strategy.

The invention discloses a method and system for cooperatively positioning a vehicle through a door lock, and the method comprises the steps: obtaining and dynamically updating a neighbor door lock list through the detected door lock of the vehicle according to the broadcast and scanning data of a Bluetooth tag on a moving vehicle; according to the periodic detection report of the door locks on the vehicle and the global analysis of the management system, the cooperative timers of the related door locks are synchronized, and timing management for preventing repeated triggering is implemented; according to the response of the obtained neighbor door lock which initiates multicast query after the collaborative timer expires, the door lock which initiates the query verifies whether all responders are in the neighbor list, so as to judge whether the vehicle is stably parked; and according to the vehicle parking information confirmed by the door lock, the management system updates the global state and sends a parking position notification to the owner. According to the embodiment of the invention, accurate and low-misjudgment judgment of the parking state of the vehicle can be realized, and the reliability and real-time performance of vehicle positioning management are improved by means of global state synchronization.

The invention relates to the technical field of parking lot digital management, and discloses a digital twin enabling parking lot digital global management system. According to the system, a global digital twin model of a parking lot is generated, and multi-source sensing data such as parking space states, vehicle identities and environmental parameters are fused; generating a parking space distribution matrix with priorities and time windows in combination with the parking request of the user and the real-time parking space state; according to the parking space two-dimensional code hardware parameters, the digital twin model and the parking space distribution matrix, outputting a vehicle guiding path set with a timestamp; a real-time obstacle avoidance and dynamic adjustment system is constructed to generate a safe driving path set so as to dispatch vehicles; outputting a power distribution control instruction set and updating the digital twinborn model by combining the electric quantity of the energy storage unit, the power distribution network data and the safe driving path set; and finally, system knowledge evolution and end-to-end closed-loop optimization are realized through scheduling execution logs. According to the system, global efficient management of the parking lot is realized, and the parking space utilization, vehicle scheduling and energy utilization levels are improved.

The invention relates to an intelligent port cargo scheduling method based on the Internet of Things, and the method comprises the steps: collecting cargo state information, equipment position coordinates, operation progress data and environment parameters in real time through Internet of Things sensor nodes disposed on a quay crane, a container truck, a storage yard sling and a cargo carrier, and fusing a port GIS map and a berth plan based on the real-time collected data, and establishing a multi-objective optimization model with maximization of the quay crane-container truck-storage yard cooperative efficiency as an objective and minimization of equipment conflict avoidance and path overlap as constraint conditions, and dynamically activating or sleeping storage yard operation partitions and adjusting the number of container truck marshalling according to the obtained storage yard congestion prediction index and the parking space vacancy rate.

The invention relates to the technical field of machine learning, and particularly discloses an intelligent parking guidance and reverse vehicle searching system based on multi-source heterogeneous data fusion. The system comprises a data perception fusion layer, a dynamic prediction decision-making layer and a user service interaction layer, realizes multi-step advanced probability prediction and dynamic optimal path planning of a parking space state through fusion of geomagnetic detection, video identification, payment flow, traffic situation and activity information, and realizes the optimal path planning of the parking space state based on multi-mode induction and live-action AR reverse vehicle searching guidance. And the parking efficiency and the user experience are improved.

The invention discloses a parking lot virtual green wave guiding method and related equipment. The core is to construct a space-time resource map, plan a path according to the space-time resource map, reserve a time window to form a virtual green wave band, issue an instruction to a vehicle terminal and an intelligent barrier gate, monitor vehicle position deviation, and trigger local re-planning if a threshold value is exceeded. According to the scheme, the defects in the prior art are accurately overcome, global space-time resource overall planning is achieved through a space-time resource map, an exclusive time window is reserved for vehicles, multi-vehicle path conflicts are eliminated from the source, and the defects of lack of global view and active scheduling are overcome; static road network navigation is replaced by a space and time coordinated virtual green wave band, vehicles are actively guided to pass orderly, microscopic traffic congestion is effectively solved, and the in-field passing efficiency is greatly improved; through a real-time monitoring and local re-planning mechanism, emergency situations such as vehicle faults can be rapidly handled, congestion diffusion is avoided, traffic flow stability is guaranteed, and finally seamless and non-stop passing of the vehicle from an entrance to a parking space is achieved.

The invention provides a new energy vehicle parking charging scheduling management method and system, and relates to the technical field of new energy charging management, and the method comprises the steps: receiving a charging reservation request sent by a new energy vehicle, including a vehicle identification code, a battery remaining capacity and an expected charging time period, obtaining a vehicle charging characteristic parameter, and combining with environment temperature correction; and the actual required charging time is accurately calculated. And on the basis of the charging duration, the expected charging time period and the charging pile operation state, a dynamic scoring method is adopted, a comprehensive score is calculated through duration matching score and reliability score weighting, and an optimal charging pile is selected for distribution according to a scoring result. According to the method, a weighted dynamic scoring method of the duration matching score and the reliability score is adopted, the user demand, the operation state of the charging pile and the environmental influence are comprehensively considered, the optimal distribution of the charging pile resources is ensured, and the overall operation efficiency and the service quality of the charging station are remarkably improved.

The invention relates to the technical field of charging and battery swapping, and discloses an electric truck battery swapping station pre-guiding accurate parking system and method, and the system comprises the ground, a battery swapping station, a battery swapping shed, an electric truck, a laser guiding system, a radar image system, and a parking line. The laser guiding system comprises a laser projector and an adjustable device which are installed on the top of a battery changing area of the battery changing station. The radar image system comprises a radar device installed below the head of the electric truck and a central control display device in the cab of the electric truck, the electric truck can more quickly and accurately drive into the battery replacement area of the battery replacement station through the pre-guiding accurate parking system, the repeated adjustment time caused by inaccurate parking position is reduced, and the accuracy of the electric truck is improved. Therefore, the overall efficiency of battery replacement is greatly improved, the battery replacement station can provide battery replacement service for more electric trucks in unit time, the occurrence rate of battery replacement faults caused by parking deviation is reduced, and the success rate and reliability of battery replacement operation are improved.

The application discloses a kind of unmanned vehicle accurate parking methods of port crane scene, through the setting of desired accurate parking position, adjust the distance and direction of vehicle, guide vehicle accurate parking, through the position that template map has saved desired accurate parking, and the plane parameter of crane, improve the accuracy of vehicle stop, can improve the efficiency of loading and unloading box operation, increase the economic benefit of single vehicle unit time, simultaneously, through laser radar, the point cloud data of crane can be directly scanned and obtained, realize the accurate parking of port crane scene, do not need to make any modification to crane equipment and install any equipment, there is no special requirement to crane structure, size etc., with good universality, the characteristics such as low introduction cost.

The invention specifically relates to a smart parking lot traffic management system based on traffic Internet of Things, and relates to the technical field of smart traffic and Internet of Things. A data processing and fusion module; a congestion prediction module; a prediction optimization module; and an induction information generation and release module. According to the invention, through multi-dimensional data acquisition, fusion and model optimization, accurate pre-judgment and dynamic adaptation of parking lot congestion are realized; the congestion prediction module constructs a multi-dimensional feature system of stagnation degree, unit average delay degree and occupancy degree, covers core inducements of vehicle retention, parking efficiency, resource mismatch and the like, combines historical data optimization factors and k value dynamic adjustment, and enables the prediction model to continuously adapt to changes of parking lot vehicle types, user habits and the like. Passive response of congestion treatment is upgraded to active prevention, invalid wandering of vehicles and lane congestion are reduced, the parking lot passing efficiency and the parking space turnover rate are remarkably improved, and the operation cost is reduced.

The embodiment of the invention provides a parking-out control method of a vehicle, electronic equipment and a computer readable storage medium, and the method comprises the steps: responding to a triggering operation for a parking-out function of the vehicle, and obtaining the environment feature information of the environment where the current parking space of the vehicle is located, and the parking space feature information of the parking space; based on the environment feature information and the parking space feature information, determining parking scene information of the vehicle; based on the parking-out scene information and expected driving information after the vehicle is parked out, a target orientation and a target position after the vehicle is parked out are determined, and the expected driving information is used for representing a driving destination after the vehicle is driven out of the parking space; determining a parking track of the vehicle based on the parking scene information, the target orientation, the target position and the position of the parking space; and according to the parking track, the vehicle is controlled to execute parking operation. The technical problem that the automatic parking-out function of the vehicle in a special scene is difficult to meet the actual driving requirement of the vehicle is solved.

Embodiments of the present application disclose an automatic parking control method and device and a computing device. The method comprises: acquiring first position information of a position where a vehicle is located, a vehicle inclination angle, second position information of a target empty parking space, and direction information; judging whether the vehicle is inclined relative to the target empty parking space based on the vehicle inclination angle and the direction information of the target empty parking space; if the vehicle is not inclined relative to the target empty parking space, determining a lateral movement distance and a lateral movement direction of the vehicle according to the first position information and the second position information; and controlling the vehicle to move laterally into the target empty parking space based on the lateral movement distance and the lateral movement direction, which helps to improve the efficiency of automatic parking.

The invention relates to the technical field of intelligent parking management, and discloses a curb parking dynamic charging and fee evasion prevention and control method based on multi-dimensional data fusion, which comprises the following steps: a data fusion reconstruction step: receiving a video stream, sensing a parking space state and reporting data through mobile inspection, performing fusion processing through space-time alignment and a confidence decision algorithm, and obtaining a data fusion result; outputting a standard parking event sequence; a dynamic charging decision-making step of matching a charging strategy model including time-phased elastic rate parameters according to the time-space attribute of the event sequence, calculating the cost and verifying the parking rights and interests in real time, and generating a parking order; and a fee evasion risk real-time prevention and control step: constructing a vehicle behavior portrait feature vector based on the event sequence and the historical order, obtaining a real-time risk level through a pre-trained risk grading model, and triggering a cascade response disposal action according to the real-time risk level, including exit interception and recovery of a high-risk vehicle. According to the invention, the charging accuracy is improved, and the rate dynamic adjustment and the active and accurate prevention and control of the fee evasion behavior are realized.

The invention relates to a park intelligent vehicle scheduling method and system, and the method comprises the steps: receiving vehicle reservation information, generating a vehicle parking space and elevator preliminary distribution scheme based on the reservation information and a current resource occupation state, carrying out the adjustment and optimization of the preliminary distribution scheme of a plurality of vehicles at a preset scheduling moment, and obtaining an updated distribution scheme, and when the vehicle arrives at the park, the distribution result of the vehicle is corrected based on the updated distribution scheme and the real-time resource occupation state. The system comprises a scheduling server, a plurality of data acquisition terminals which are respectively arranged at the entrance of a park, parking spaces, elevators and parking spaces, and a communication module which is connected with the scheduling server and the data acquisition terminals. By implementing the scheme, the preliminary allocation scheme is calculated in combination with the reservation information and the current resource occupation state, the multi-vehicle allocation scheme is adjusted at the preset scheduling moment, and the final allocation scheme is generated based on the real-time state when the vehicles arrive, so that the capability of coping with arrival time fluctuation and temporary operation change is improved.

A method may include, at a control system, receiving a trip request specifying an origin boarding zone and a destination boarding zone, determining a path for the trip request, the path extending from the origin boarding zone and along at least a portion of a trunk lane of a roadway system, assigning the trip request to a vehicle, determining, based at least in part on a location of a parking spot where the vehicle is parked at the origin boarding zone, an estimated transit duration of the vehicle from the parking spot to an entrance to the trunk lane, selecting, based at least in part on the estimated transit duration, a moving position-target from a set of candidate moving position-targets, and causing the vehicle to travel from the parking spot to the trunk lane and travel along the portion of the trunk lane by following the selected moving position-target.

The invention discloses a parking space state monitoring method based on multi-sensor fusion. The parking space state monitoring method comprises the steps of 1, collecting multi-modal sensor data; 2, preprocessing the multi-modal sensor data to generate a standardized multi-modal data set; step 3, constructing an improved SwinFusion model, performing multi-modal feature extraction on the standardized multi-modal data set, and generating an asynchronous attention feature tensor sequence; 4, multi-scale feature decoding and space-time mapping are executed, and a feature mapping graph and an occupation probability graph are generated; 5, based on the feature mapping graph and the occupancy probability graph, executing state judgment and outputting a parking space state label; step 6, generating a real-time parking space state visual graph; and step 7, collecting an edge terminal identification result and sensor feedback data, and executing incremental updating on the improved SwinFusion model. According to the invention, the multi-sensing data fusion capability and the parking space state identification accuracy and robustness in a complex environment are improved.

The invention discloses an intelligent detection method and system for an abnormal edge of a charging station. The method comprises the following steps: S1, synchronously acquiring abnormal related RGB image data, infrared image data, ultraviolet image data and electrical and environmental data in a charging station scene; s2, visual target detection: S1, inputting the acquired RGB image into a lightweight target detection model, positioning a key target, outputting a bounding box, and providing an accurate region of interest (ROI) for subsequent anomaly recognition; s3, visual modal anomaly detection: performing multi-branch visual modal anomaly detection on the basis of the ROI obtained in the S2 and the target category of the ROI; s4, electrical-environment modal anomaly detection: detecting electrical anomaly and environment anomaly through a lightweight anomaly detection model according to the electrical and environment sequence data collected in the S1; and S5, multi-modal fusion abnormity identification alarm: based on the abnormity detection results in the S3 and S4, adopting a multi-modal fusion method to identify abnormity. According to the invention, a new two-stage anomaly detection framework fully utilizing multiple modes is provided, and comprehensive abnormal conditions such as charging pile damage, charging gun damage, parking space occupation of a fuel truck, abnormal user behavior and fire detection can be detected; in order to solve the problem of difficulty in edge deployment, the model is lightweight as much as possible while the performance is ensured.

The invention discloses a smart parking lot based on image recognition and a parking method thereof. The smart parking lot comprises an entrance gate module, an exit gate module, an image acquisition module, a control module, an automatic vehicle moving module, a communication module and a storage module. The image acquisition module is arranged in the parking lot and is used for performing image acquisition on each parking space; the control module is used for detecting whether an idle parking space exists in the parking lot according to the parking record and the image acquired by the image acquisition module and judging whether the to-be-parked vehicle has a private parking space in the parking lot according to the license plate number acquired by the entrance gate module; according to the idle parking space detection result and the private parking space judgment result, different instructions are sent according to a parking strategy; the system is also used for generating parking charging information according to the entrance time and the departure time and generating vehicle owner identity verification information according to the license plate number. Intelligent integrated parking and car taking are achieved, and the defects of an existing traditional parking lot are overcome.

The invention discloses an unmanned aerial vehicle in-road berth shooting system with an intelligent parking platform and a method thereof, and belongs to the technical field of unmanned aerial vehicle in-road berth shooting. The system comprises a plurality of parking spaces and a street lamp post, wherein an aerial image acquisition device is further arranged on the street lamp post; the aerial image acquisition device comprises an unmanned aerial vehicle and an airport apron; a camera module, a rechargeable battery and a device management module are arranged on the unmanned aerial vehicle; the airport apron comprises a parking platform; the parking platform comprises a device body, a magnetic attraction charging mechanism and a buffering mechanism. The magnetic attraction charging mechanism comprises a charging panel, a plug-in port is formed in the charging panel, the charging panel is connected with a charging head through a support, a magnetic attraction block is arranged on the charging head, and a magnetic attraction groove is formed in the corresponding position of the device body. The buffering mechanism is arranged at the bottom of the device body and comprises a damper and an elastic piece, the damper is sleeved with the elastic piece, and a positioning sliding block is further arranged at the bottom of the device body and is in sliding connection with the supporting block. According to the invention, rapid and stable charging connection or / and data transmission is realized.

A parking space location determination method and apparatus, a device, a medium, and a product. The method comprises: acquiring a target parking lot image collected by a target camera in a parking lot (S110); inputting the target parking lot image into a target parking space detection model to obtain a parking space center image coordinate corresponding to a parking space in an idle state (S120); and determining geographic location information of the parking space in the idle state on the basis of geographic location information of the target camera and the parking space center image coordinate corresponding to the parking space in the idle state (S130).

The invention relates to the technical field of stereo garage safety management, and discloses a garage parking space safety risk monitoring method comprising the following steps: S1, multi-dimensional information real-time acquisition: comprehensively acquiring vehicle state, equipment operation data, environmental parameters and other multi-dimensional information through sensors at three levels of vehicle, equipment and environment; basic data is provided for subsequent analysis; and S2, data fusion and dynamic calibration: carrying out fusion processing on the collected multi-dimensional data, and introducing a dynamic calibration mechanism to correct the deviation of the sensor so as to improve the accuracy and reliability of the data. According to the garage parking space safety risk monitoring method, static and dynamic risk data are processed by integrating data models such as a support vector machine and a random forest, physical risks are calculated in combination with a physical model, empirical rules are supplemented by an expert system, results are fused through a collaborative reasoning mechanism, and weights are dynamically adjusted, so that the evaluation accuracy and adaptability are improved; potential risks are accurately identified, and reliable support is provided for safe operation of the garage.

To provide a parking space allowing a user of a parking lot to park at the lowest charge within a predetermined range.SOLUTION: A parking fee settlement system includes a parking information reception unit that receives parking information indicating that a vehicle is stopped in a predetermined parking space from a portable terminal, a fee information reception unit that receives fee information of another parking space within a predetermined range from the parking space from the portable terminal, a fee comparison unit that compares the fee information of the parking space with the fee information of the other parking space, and a fee settlement unit that settles a parking fee based on the fee information of the other parking space when the fee information of the other parking space is cheaper than the fee information of the parking space.SELECTED DRAWING: Figure 1

The invention discloses an end-to-end automatic parking method fusing vehicle and unmanned aerial vehicle perception and a related device. The method comprises the steps that parking area overlook RGB data obtained by an unmanned aerial vehicle and vehicle body surrounding obstacle data obtained by a vehicle-mounted sensor of an automatic driving vehicle are collected; the overhead view RGB data of the parking area and the obstacle data around the vehicle body are fused by using a convolutional neural network to obtain available parking spaces, a travelable area, obstacles and vehicle attitude information; and based on the obtained available parking space, the available driving area, the obstacle and the vehicle attitude information, utilizing a hybrid reinforcement learning strategy to plan and output a parking action. According to the invention, global high-level perception of the regional parking environment is realized, and automatic parking can be realized under the conditions of normal, complex and even extremely difficult obstacles and parking spaces.

The invention discloses a road berth charging and control system for realizing multi-level fault tolerance and a method thereof, and belongs to the technical field of intelligent traffic systems and Internet of Things. The system adopts an edge computing and distributed sensing collaborative architecture, and is composed of an edge controller (ECU) and a sensing and control unit (SCU) deployed in a berth. High availability of the system is ensured through fault-tolerant design of three core dimensions: firstly, perception layer fault tolerance dynamically adjusts data fusion weights of geomagnetism, millimeter wave radar and visual AI according to real-time environment data such as rainfall and electromagnetic interference by integrating an environment perception sub-module; secondly, network layer fault tolerance utilizes an immutable transaction log and a Saga distributed transaction compensation mechanism to realize local charging and digital RMB double offline payment when cloud connection is interrupted, and data consistency is ensured after network recovery; and finally, a hardware layer establishes a neighborhood cooperation protocol based on a signature agent command through fault tolerance, and a healthy node is allowed to act as an agent fault node through safety verification to execute an unlocking instruction. According to the invention, the problems of environmental interference, network interruption, single-point hardware failure and the like in unattended parking management are effectively solved, and the robustness and financial security of the system are remarkably improved.

The invention discloses an intelligent management method for a parking lot, and the method comprises the following steps: S1, vehicle recognition: collecting the image information of a vehicle when the vehicle enters an entrance of the parking lot, and recognizing the identity information of the vehicle through a license plate recognition system; s2, vacancy detection: acquiring the occupation state of each parking space in the parking lot in real time, and uploading the vacancy parking space information to the central management system; s3, path recommendation: the central management system calculates an optimal parking path according to the vehicle entrance position, the real-time parking space information and the traffic flow direction of the parking lot, and pushes guide information to a navigation display screen at the entrance or a user mobile phone terminal; and S4, charging and payment: before the vehicle leaves, the parking fee is automatically calculated according to the entrance time and the exit time, the problems of inaccurate identification, inflexible guidance, inconvenient payment, opaque management and the like in the prior art are solved, and the user experience and the parking resource utilization efficiency are remarkably improved.

A motor vehicle including a mobile induction charging device is disclosed. The motor vehicle is configured to: receive alignment fields generated by stationary induction charging devices of parking spaces of a parking lot and to detect the signal strength and alignment frequency of the alignment fields, recognize based on a stronger alignment field and the alignment frequency of the stronger alignment field that the mobile induction charging device is to be aligned with the stationary induction charging device associated with the parking space as it approaches one of the parking spaces, and output a navigation instruction for aligning the motor vehicle on the parking space via the alignment field associated with the approached parking space.

The invention discloses a parking simulation scene description file generation method and device, a medium and equipment, and the method comprises the steps: obtaining a data package generated in the parking process of a real vehicle, the data package comprises the actual motion track of the real vehicle, the actual motion track of a dynamic obstacle and the position information of a target parking space, the actual movement track comprises an actual movement position and an actual movement speed; a plurality of parking scene features and a target motion track of the dynamic obstacle are extracted from the data packet, and the plurality of parking scene features comprise a parking motion feature of the real vehicle, a position feature of the dynamic obstacle relative to the target parking space, and a motion feature of the dynamic obstacle relative to the real vehicle; and generating a parking simulation scene description file according to the plurality of parking scene features and the target motion trail of the dynamic obstacle. According to the method and the device, the parking simulation scene description file capable of simulating more vivid dynamic obstacles can be automatically generated according to the real data packet in the real vehicle parking process, and manual participation is not needed.

A server apparatus includes one or more processors and a storage medium storing a program. The program includes one or more instructions. The one or more instructions cause the one or more processors to execute: instructing an automatically drivable provider vehicle of a provider who provides a user with a charger installed in a parking space designated for use by the provider to move to a predetermined waiting area; transmitting a provider return notification to the user; instructing the provider vehicle to move from the waiting area to the parking space in accordance with a detection of an exit of the user vehicle from the parking space; transmitting a return notification to the provider in response to a return of the provider vehicle to the parking space; and increasing or decreasing a fee to be paid by the user or a profit to be provided to the provider.

An embodiment a computer-implemented method for setting an autonomous parking route includes generating an autonomous parking route by a first route generation method using a parking space and a surrounding space; generating an autonomous parking route by a second route generation method using a cloud center and a pre-trained spatial recognition deep learning model; generating an autonomous parking route by a third route generation method using a pre-trained route generation deep learning model installed in a controller of a vehicle; performing virtual driving along the routes generated by the first, second, and third route generation methods; and determining set routes in accordance with a preset route priority in the vehicle performing autonomous parking for passed routes when the virtual driving is passed.

The invention discloses a parking space selection method, system and device based on dynamic pricing and a storage medium, and the method comprises the steps: obtaining current parking business data corresponding to a target parking lot; based on historical parking service data and the current parking service data, determining a parking price corresponding to each current free parking space in the target parking lot; and in response to a target parking request sent by a target user, based on the parking price and the current parking service data, determining at least one recommended parking space corresponding to the target parking request for the target user to perform corresponding processing. The user can clearly master the real-time state of the parking space, invalid searching is avoided, a rigid mode of a fixed rate is broken through, the optimal parking space which is reasonable in price and conforms to preference is rapidly matched through parking space personalized recommendation based on the price and the user requirement, and the decision-making efficiency is improved.