334 results about "Smart parking" patented technology

The invention provides an intelligent parking lot charge management and parking space resource intelligent allocation optimization method, and relates to the technical field of intelligent parking lots, and the method comprises the steps: obtaining the real-time occupation state data of parking spaces in a parking lot, carrying out the time window division and sequence similarity analysis through time sequence data mining, and calculating the real-time parking space pressure value of each region; when the pressure value of the first region exceeds a threshold value, selecting a second region for integration based on a prediction result and a region stability integration degree, and forming a dynamic management region; and calculating a real-time rate by adopting deep reinforcement learning, determining a core influence area according to the parking request, and distributing a target parking space based on neighborhood density characteristics. According to the invention, the utilization rate of parking lot resources is improved, and intelligent parking space allocation and dynamic pricing are realized.

The invention relates to the technical field of edge computing, in particular to an intelligent parking unattended vehicle access management system and method based on edge computing. The method comprises the following steps: a vehicle detection positioning unit obtains multi-modal data based on a multi-modal sensor array module, and realizes real-time positioning of a vehicle and real-time updating of a parking space state through a Kalman filtering algorithm in combination with a QBCN information interference variable; the license plate recognition unit completes license plate feature extraction and recognition on the basis of a multispectral imaging technology and a lightweight CRNN model under the condition of abnormal illumination. The edge calculation decision unit combines a real-time rule engine and a space-time anomaly detection algorithm, optimizes a resource allocation strategy, and realizes low-delay decision and localization control; the payment authentication unit adopts a block chain intelligent contract, dynamic rate calculation, multi-factor identity authentication and abnormal payment fusing protection; and the edge cloud collaboration unit realizes model differential updating, cross-domain task scheduling and energy efficiency optimization through federated learning and space-time data compression technologies.

The invention discloses an intelligent parking space guiding system for a hospital parking lot, relates to the technical field of intelligent traffic, and is used for solving the problems that the hospital parking lot is seriously jammed in peak hours and special vehicles lack exclusive passing authority. The system comprises a parking space monitoring module, a vehicle identification module, an intelligent guiding module and a user interaction module. The parking space state is monitored in real time through the multi-mode sensor array; recognizing entering and exiting vehicles through a deep learning recognition algorithm based on cameras deployed at entrances and exits, and obtaining corresponding vehicle information; based on parking space state information and vehicle identification information, a route optimal value is dynamically calculated, and a whole-course navigation service from an entrance to a target parking space is provided for a driver, so that accurate detection of the parking space state, special vehicle priority distribution, high-low peak dynamic route planning and whole-process intelligent guidance are realized, the hospital parking efficiency is remarkably improved, and the hospital parking experience is improved. And the congestion condition in the peak period is relieved.

The invention discloses an intelligent parking method and device based on multi-source data fusion and a medium, and relates to the technical field of big data technologies. The method comprises the following steps: collecting multi-source parking data, and analyzing the multi-source parking data to generate a parking lot label library; generating a user tag based on historical search records and residence time preferences of the user, and constructing a user information database; when it is detected that a user triggers a parking request, performing multi-dimensional matching calculation on a user tag and a parking lot tag library to obtain a recommended parking space sequence; and optimizing the recommended parking space sequence based on the real-time traffic state and the user credit score to generate a final navigation path. According to the method, a dynamic parking recommendation mechanism is constructed by collecting and analyzing the multi-source parking data and the user preference data.

The invention discloses a method for dynamically monitoring and automatically processing abnormity of an entrance and an exit of a parking lot, relates to the technical field of intelligent parking lot management, and aims to solve the problems that existing unattended parking lot entrance and exit management depends on manpower, abnormity processing is passive, and the misjudgment rate is high. The method is based on an information acquisition and execution layer-edge processing layer-cloud platform three-layer architecture, the core realizes high-precision scene understanding through a multi-algorithm fused visual perception module, multi-modal data weighted fusion is combined with a ground induction coil, a radar and the like, and the misjudgment rate is reduced; a sensing result is converted into an automatic processing action through a configurable intelligent rule engine; and meanwhile, the cloud platform stores passing data and an evidence chain, optimizes an AI model through incremental training and returns the AI model to an edge layer, so that closed-loop evolution is realized.

The invention relates to the technical field of intelligent parking management, and discloses a parking reservation management method and system. The system obtains a parking space state data set containing a parking space number, an occupation state time sequence and a reservation request frequency through a parking management platform; performing spatio-temporal feature extraction on the set to generate a multi-dimensional feature matrix, and determining a parking space association network in combination with topology analysis; screening a candidate parking space set satisfying reservation stability and space reachability from the matrix; inputting the candidate parking space set into a pre-trained priority ranking model, and generating a parking space priority score by the model through a dynamic weight adjustment algorithm; fusing the priority score and the real-time parking space occupation data to construct a dynamic distribution matrix, and simulating a parking space distribution spatio-temporal evolution process based on a queuing theory model; and separating an optimal distribution scheme and a candidate parking space sequence from the matrix, and generating final parking space reservation confirmation information. According to the reservation parking management method and system provided by the invention, the reliability and user satisfaction of the reservation system can be improved.

The invention discloses an intelligent parking navigation system based on image recognition and the Internet of Things, and relates to the technical field of intelligent parking navigation, the system draws a three-dimensional electronic map of a parking lot, divides the parking lot into monitoring areas, deploys sensors and cameras to collect image data, and transmits the image data to a cloud through the Internet of Things. The intelligent regulation and control model module uses a convolutional neural network CNN to carry out parking space recommendation and path guidance. And the vehicle monitoring module monitors vehicles entering the parking lot in real time, calculates a geometric environment adaptation coefficient and evaluates a traffic risk. And the vehicle guiding analysis module calculates the traffic flow and the parking space idle index, and recommends a proper parking area for the vehicle. The parking space recommendation analysis module evaluates the comfort level of the parking space, ensures the safety of backing and parking, and avoids the risk of traffic jam or traffic accident through strategy adjustment. The system improves the parking efficiency and safety, and optimizes the parking experience.

The invention relates to the technical field of traffic management and Internet of Things technology fusion, in particular to an Internet of Things-based intelligent parking space real-time monitoring and scheduling method and system, and the method comprises the steps: carrying out the denoising, time correction and block chain credible registration of multi-source sensor data, and forming traceable parking space and road load information. A three-dimensional digital twinning environment is generated by means of a neural radiation field, floors and sensors are subjected to hierarchical association through fractal hypergraphs, and floor capacity and cross-floor channels are recorded in a quantum approximation optimization algorithm. Under the guidance of the output scheduling strategy, the parking demand is dynamically received in combination with the Internet of Things platform, and if the floors are insufficient, queuing information is established, and distribution and queuing records are continuously updated in combination with real-time perception. And after the vehicle leaves, the actual occupation data and the departure data are compared for expectation, and the three-dimensional twin model and the quantum algorithm parameters are automatically corrected and written into the block chain. According to the invention, accurate scheduling is realized under multiple floors and multiple scenes, congestion is effectively reduced, and the parking turnover rate is improved.

The invention relates to an intelligent parking lot management method, system and device based on UWB, and a storage medium, the method comprises the steps: obtaining the real-time position information of a vehicle in a parking lot, and the real-time position information is obtained through the cooperative positioning of a UWB tag installed on the vehicle and a plurality of UWB base stations in the parking lot; obtaining parking space state data in the parking lot, integrating the real-time position information of the vehicle with the parking space state data, and generating a parking space dynamic map in the parking lot; real-time traffic flow information is acquired, and an optimized driving path of the vehicle is generated based on the parking space dynamic map and the real-time traffic flow information; based on a preset parking space prediction model, generating a corresponding parking space demand condition, and dynamically adjusting a parking space distribution reservation strategy according to the parking space demand condition; the abnormal event condition of the parking lot is monitored in real time, and when the occurrence of the abnormal event is detected, an abnormal processing mechanism is automatically triggered based on an abnormal detection algorithm to process the abnormal event. The method has the effect of improving the parking lot management efficiency.

The invention provides a digital intelligent parking space intelligent parking guiding method, which comprises the following steps: an information acquisition step: acquiring parking space information in a parking lot and vehicle information at the entrance of the parking lot, applying for connecting a vehicle interaction module, if the vehicle allows interaction, connecting through the interaction module, and if the vehicle does not allow interaction, connecting through the interaction module; if yes, signal transmission is carried out through a guide screen in the parking lot; a parking space matching step: according to the vehicle information and the parking space information, corresponding parking information is acquired through a path planning strategy, and the parking information comprises a parking position and an optimal parking route; an interaction guiding step: when the vehicle allows interaction, the vehicle is used for receiving parking information; in the traditional guiding step, when the vehicle does not allow interaction, the position of the vehicle in the parking lot is obtained, the vehicle traveling path is judged, the nearest guiding screen on the vehicle traveling path is obtained, the vehicle traveling direction is indicated on the guiding screen, and parking space information is recommended on the guiding screen.

The invention provides an intelligent parking guidance system based on voice interaction and intelligent matching. The intelligent parking guidance system comprises a voice interaction recognition module, an intelligent video module, a path planning module and a parking space scheduling and management module. Wherein the voice interaction recognition module is deployed in an entrance area of a parking lot, interacts with a driver and recognizes a parking position demand; the intelligent video module is arranged at a key node in a parking lot, identifies a vehicle, constructs a vehicle movement track, and analyzes and obtains the overall traffic flow information of the parking lot. The path planning module receives information provided by the voice interaction recognition module and the intelligent video module, carries out path planning, and issues the path planning to the parking space scheduling and management module. And the parking space scheduling and management module is distributed in the parking lot and guides nearby vehicles according to the received route plan.

The invention relates to the field of intelligent traffic systems, and discloses an intelligent parking management system using artificial intelligence image recognition, and the system comprises an image collection module which is used for collecting a parking space image in a parking lot in real time, and is combined with at least one sensor unit which comprises a high-definition camera, an infrared thermal imager and a laser radar sensor; the image preprocessing module is used for preprocessing the acquired parking space image, removing noise in the image and enhancing the image; the geometric transformation module is used for converting the parking space image from the current view angle into a standard parking space model and eliminating view angle distortion; and the illumination optimization module is used for carrying out illumination correction on the parking space image and reducing the influence of illumination change on the parking space image. Through an image acquisition technology based on multi-sensor data fusion and in combination with a high-definition camera, an infrared thermal imager and a laser radar sensor, a parking space image can be accurately acquired under different illumination and complex environment conditions.

A smart parking recommendation system for energy conservation in a vehicle includes a smart parking recommendation application (SPRA) that determines that enabling conditions have been met and obtains from sensors and actuators of the vehicle, information about the vehicle and the vehicle's environment. The SPRA monitors information from the sensors and actuators and obtained from remote computing resources, a vehicle operator's current vehicle usage and determines a typical parking duration for a current parking location, and categorizes the current parking location. The SPRA utilizes an artificial intelligence (AI) or machine learning (ML) model to suggest a parking spot within the parking location that satisfies user and energy consumption passenger compartment thermal quality preferences. The SPRA selectively parks or guides the vehicle to be parked within a parking spot that satisfies the constraints and preferences, and minimizes energy consumption for maintaining passenger compartment and battery thermal qualities.

A mmWave radar sensor module is proposed, to have a specific structure enabling a 180° field of View (FoV) with an affordable system cost. The proposed mmWave radar sensor module is put to use in passenger vehicles, commercial vehicles, automated guided vehicles (AGVs), as well as motorcycles and bikes, enabling a variety of application features: smart parking assistance, replacing PDC sensors, determining the distance, speed and angle of targets, including their tracking, detection of people, tracking of people, tailgate and door protection by restricting opening, gesture and kick sensing, and other applications. In the case of two-wheelers and three-wheelers, the same apparatus may cover also blind sport detection application in the affordable system manner.

The invention relates to the technical field of parking management, discloses a vehicle parking management method, and effectively solves the problem of lack of flexibility and safety in locking and unlocking of a parking lock in the existing intelligent parking technology by utilizing a dynamic signature and verification technology in the parking process of a vehicle. The dynamic signature and verification technology establishes a reliable permission verification mechanism between the vehicle and the parking lock, and ensures that only the vehicle with permission can unlock the parking lock and park in the target parking space, thereby preventing the vehicle without permission from mistakenly parking or maliciously occupying the parking space, ensuring the parking safety, and maintaining the management order of the parking lot. The improvement not only improves the management efficiency of the parking lot, but also optimizes the parking experience of the user, and provides powerful support for the sustainable and healthy development of the smart parking technology.

The invention relates to the technical field of intelligent parking lots, and discloses a distributed energy collaborative management device of an intelligent linkage shed, which comprises an intelligent charging parking area for parking new energy vehicles, and two signal transmission assemblies for receiving and transmitting signals are arranged on one side of the upper end of the intelligent charging parking area. A plurality of protection units used for protecting vehicles are arranged at the upper end of the intelligent charging parking area, each protection unit comprises a photovoltaic power generation assembly used for photovoltaic power generation and a sweeping assembly used for sweeping the surface of the photovoltaic power generation assembly, and the photovoltaic power generation assemblies facilitate smooth flowing of dirty water when photovoltaic power generation panels are cleaned by accurately adjusting the angles, so that the cleaning efficiency is improved. The water storage assembly and the water sprinkling mechanism provide continuous water source supply, so that the photovoltaic panel can be automatically cleaned, surface dirt is removed, the power generation efficiency of the photovoltaic panel is kept, the high efficiency of the cleaning process is guaranteed through coordinated work of the linear displacement mechanism and the sweeping assembly, and the workload of maintenance personnel is reduced.

The invention discloses a smart parking lot parking guidance planning system based on big data, and the system comprises a state sensing module and a path planning module, and relates to the technical field of smart parking. The method comprehensively considers the distance, the congestion probability and the predicted passing time, not only pays attention to the distance, but also considers the difficulty degree of actual passing, can plan a smoother and quicker path, improves the parking efficiency, learns the optimal path through a Q-learning algorithm in combination with a reward function, updates the Q value in real time according to the environment change in the driving process, and adjusts the path planning. When the parking space state or the traffic flow changes, re-planning can be carried out in time, it is ensured that the vehicle runs along the optimal path all the time, dynamic path planning is achieved, and real-time changes of the parking lot are adapted through real-time dynamic adjustment.

The invention discloses a public building intelligent control system based on a LoRa communication technology, and relates to the technical field of intelligent control, the public building intelligent control system comprises a LoRa transmission data sensing module, a system performance evaluation and optimization module, a public building intelligent control module and an execution module, the LoRa transmission data sensing module is used for collecting LoRa transmission data, and the system performance evaluation and optimization module is used for evaluating and optimizing the LoRa transmission data; the system performance evaluation and optimization module is used for designing a LoRa communication intelligent control system and evaluating and optimizing the system performance, the public building intelligent control module is used for intelligently controlling the energy management, safety monitoring, environment monitoring and intelligent parking process of a public building, and the execution module is used for executing the LoRa communication intelligent control system. The system is used for realizing the final intelligent control of the public building, optimizing the problems of system transmission delay, operation stability, network interference and the like, achieving the intelligent control of energy consumption, safety state, indoor environment quality and parking resource scheduling, and promoting the development of the system in the green, energy-saving, efficient, safe, comfortable and convenient directions.

The invention relates to the technical field of parking lot navigation, and provides a parking lot navigation system and method, equipment and a medium, according to the scheme, cameras are arranged at the entrance and the interior of a parking lot respectively to collect video streams containing target vehicles, LED lamps are arranged in the parking lot, and the video streams collected by the cameras are transmitted to a control device; and enabling the control device to generate an optimal guide route for the target vehicle to run to the target parking space in the parking lot based on the video stream acquired by the camera, generating a control scheme of the LED lamp in the parking lot according to the optimal guide route, and displaying the optimal guide route by the LED lamp according to the control scheme. According to the parking lot navigation system, the camera, the control device and the LED lamp are adopted to design the parking lot navigation system, so that the parking lot navigation system does not need to be networked with other external equipment, and accurate parking navigation in a parking lot can be completed by matching the simple camera with other equipment in the system; the parking experience of the user is improved, and the cost of intelligent parking is reduced.

The invention discloses an intelligent parking management method and system based on digital twinning. And full-life-cycle management is realized by constructing a five-dimensional digital twinborn model. The method comprises the following steps: firstly, extracting information from historical data to generate a knowledge template library, intelligently matching a successful case to generate a project proposal, carrying out space, performance and fault simulation, and synchronously changing information through a mobile application. And closed-loop management from project planning to operation maintenance is realized. A hybrid decision engine combining PPO reinforcement learning and a heuristic algorithm is adopted, the parking space detection accuracy rate reaches 99.7%, the parking space searching time is shortened to 2.7 minutes, and the system response delay is reduced to 200 ms or below.

The invention discloses an intelligent parking lot management system and method based on deep learning, and belongs to the technical field of parking lot management. The method is used for solving the technical problems of poor autonomous supervision and analysis effect and poor active risk management effect of a parking lot for different accidents in an existing scheme. All accidents occurring in different position areas in the parking lot are supervised and subjected to data processing analysis, different area types are dynamically marked, and a second area type obtained through analysis is subjected to data processing calculation in different dimensions and digital representation; and carrying out expansion integration processing on local risk occurrence values obtained by corresponding processing of all types of sub-regions and local risk type values of different local accident types, determining local risk integration states corresponding to different types of sub-regions, and implementing targeted parking risk prevention management. And multi-dimensional expansion mining and analysis management of all accident data and accident position data occurring in the parking lot are realized.

The invention relates to the technical field of vehicle intelligent parking, in particular to a dynamic charging method, device and system based on an autonomous valet parking technology, and the method comprises the steps: obtaining the vehicle information of a vehicle at different stages in response to a settlement request; calculating the driving cost of the vehicle in the driving stage based on the vehicle speed information, the time information and the first dynamic pricing cost in the driving stage; based on the time information, the position information and the second dynamic pricing cost of the parking stage, the parking cost of the vehicle in the parking stage is calculated; and determining a total parking fee based on the driving fee and the parking fee. According to the method, the vehicle is charged in different stages of the target area, so that the charging standard is formulated for the intelligent service enjoyed by the vehicle in each stage, accurate charging is realized, in addition, dynamic pricing is carried out in combination with the parking space vacancy rate, the parking duration and the parking space type, and the charging reasonability is optimized.

A method and apparatus for cooperative parking control can include considering a failure of a rear wheel steering (RWS) function for an ego vehicle. A cooperative parking control apparatus can include an error detection unit configured to detect whether an error is present in the RWS function, a route setting unit configured to set a parking route for the ego vehicle by using the rear wheel steering function based on the whether an error is present, and a parking control unit configured to perform parking control of the ego vehicle to follow the parking route by using a remote smart parking assistance function and the rear wheel steering function.

The invention relates to the technical field of intelligent parking management, and discloses an intelligent parking management method and system based on license plate recognition, and the method comprises the steps: dividing a micro-service assembly; a service grid control layer is constructed, communication between services is intercepted through a side vehicle agent, and a service quality map is constructed; a dynamic routing decision model is constructed, and a reinforcement learning algorithm is adopted for training according to the service quality map; periodically executing a network topology optimization algorithm; faults are actively injected through a flow mirroring method and a chaos engineering method, potential problems are predicted, and an automatic recovery process is triggered based on an anomaly detection result; according to the invention, by constructing a micro-service architecture, an adaptive network topology and an active disaster recovery mechanism are realized, and the problems of performance bottleneck, insufficient reliability and poor expansibility of a traditional license plate recognition system in large-scale application are effectively solved.

The invention relates to the field of computer vision, in particular to an intelligent parking system based on a computer vision algorithm, which is provided with a data acquisition module, a resource integration module, an anomaly analysis module, a parking matching module and a parking guide module, determines a vehicle running value and an actual parking effective value, calculates a parking permission characterization value, and displays the parking permission characterization value. Determining whether a parking position for a target vehicle exists in the parking area; determining a target parking area; dividing the target parking area into a plurality of sub-areas; analyzing data information corresponding to the target parking area; and parking guidance is carried out according to the judgment result of the preset condition, and intelligent parking is completed. According to the invention, parking guidance is carried out by determining the target parking area, analyzing the corresponding abnormal data and comparing with the parking related area of the target vehicle, so that the smoothness of the parking path and the parking efficiency are improved.

The invention discloses an intelligent parking space system and a vehicle identification device, and relates to the technical field of intelligent parking lot management, and the intelligent parking space system is applied to a parking lot. The intelligent parking space system comprises an identification module and a central control module. The central control module is connected with the identification module; the recognition module is used for collecting a license plate signal and a chassis signal of a vehicle and sending the license plate signal and the chassis signal to the central control module; the central control module is used for determining the type of the vehicle according to the license plate signal and the chassis signal of the vehicle; the vehicle types comprise an oil vehicle and an electric vehicle; the central control module is further used for controlling a ground lock in the parking lot to be kept in an open state when the use proportion of the intelligent parking spaces in the parking lot is lower than a preset threshold value, so that the fuel car enters the intelligent parking spaces of the parking lot to be parked, and therefore it is ensured that only the electric car with the charging requirement is allowed to be used in the charging parking spaces in the whole time period; and the accuracy and the applicability of the anti-occupation system are obviously improved.

The invention discloses a video semantic segmentation method and system based on a dark light roadside parking scene, and relates to the field of intelligent parking management.The method comprises the steps that the advantages of an event camera in a dark light scene are utilized, short-term and long-term time motion data are extracted from data collected by the event camera, motion feature learning is carried out, and motion feature learning is carried out; according to the method, the image features and the motion features in the spatial dimension and the channel dimension are further integrated, and finally the video semantic segmentation prediction result is generated by using the video context information, so that the semantic segmentation precision of the dark scene is improved, and the traffic management of the roadside parking scene in the dark scene is facilitated.

The invention discloses an image acquisition method and device, electronic equipment and a storage medium. The image acquisition method comprises the following steps: acquiring a frame synchronization signal; and simultaneously outputting the frame synchronization signal to the plurality of acquisition devices based on a frame synchronization signal line, so that the plurality of acquisition devices acquire a group of synchronizable images. A plurality of acquisition devices are connected with a control chip through the same frame synchronization signal line, and frame synchronization signals are simultaneously output to the plurality of acquisition devices through the frame synchronization signal line, so that the plurality of image acquisition devices can perform image acquisition at the same triggering moment, and a group of synchronous images which are aligned during frame are obtained. According to the invention, the image synchronization between the synchronizable images is improved, so that if the synchronizable images are spliced, the jelly effect in the splicing process can be obviously reduced, and the acquisition requirement of the intelligent parking system on the high-time-sequence consistency image data is met.

The invention discloses a license plate classification method and system based on a roadside parking scene, and relates to the field of intelligent parking management, and the method comprises the steps: carrying out the data collection and data collection of different types of license plate data, constructing a license plate classification data set, building a license plate classification model through employing a convolutional neural network, and carrying out the model training, during model design, two branches are constructed for feature learning, one branch performs uniform sampling learning on all license plate types, the other branch reinforces sampling and learning of tail license plate type data with a small number, and finally features learned by the two branches are fused to obtain a model. According to the invention, the feature learning of the license plate types with the majority is ensured, the feature learning of the license plate types with the minority is enhanced, and the accuracy of the license plate type classification algorithm is improved on the whole.

The invention discloses an intelligent parking system and a vehicle parking management method, and relates to the technical field of intelligent traffic and Internet of Things, and the method comprises the steps: S1, collecting vehicle position signals and vehicle image features, and carrying out the data fusion, and obtaining the real-time coordinates of a vehicle with direction information; s2, constructing a continuous track chain based on the real-time coordinates of the vehicle, and recognizing abnormal behaviors of the vehicle based on a preset track feature threshold value; and S3, generating and executing a corresponding barrier gate control instruction according to the abnormal behavior of the vehicle. According to the method, geomagnetism and video sensing data are fused in a dynamic self-adaptive mode, a vehicle continuous track chain is constructed, abnormal behaviors such as vehicle retention and turning around can be accurately recognized, real-time linkage with barrier gate control is achieved, and therefore the vehicle smashing prevention safety, the accuracy of illegal behavior recognition and the real-time performance of system response are effectively improved.