3069 results about "Parking lot" patented technology

The invention relates to the field of new energy vehicles, and discloses a charging pile load test data analysis method and system based on intelligent sensing, and the method comprises the steps: carrying out the dynamic mapping of a charging pile group in a public parking lot through a multi-source heterogeneous sensing assembly; carrying out dislocation labeling on handshake waveforms, thermal image hot spots and harmonic pulses based on a scene semantic segmentation network; performing multi-scale sliding window cross-domain correlation tracking on the data priority sequence, and combining historical waveform fingerprints, a power factor drift trajectory and an environmental electromagnetic interference matrix; based on a multi-dimensional time sequence feature tensor, a load evolution trajectory is extracted by using a priority adaptive model, and clustering density abrupt change and entropy drift inflection points are identified; calibrating a charging entity and a coupling range corresponding to the potential safety hazard candidate event as a candidate area; and on the basis of a local load priority interference atlas, potential unstable nodes and a global risk entropy fluctuation trend in monitoring data are combined. The method has the advantage of improving the safety and accuracy of the load in a complex environment.

The invention discloses an urban traffic intelligent regulation and control system and method based on digital twinning. The method comprises the following steps: S1, collecting and fusing multi-source data in real time; s2, constructing a digital twinborn model; s3, traffic flow prediction and optimization; s4, multi-system cooperative control is carried out; the system comprises the following modules: a multi-source data real-time acquisition and fusion module which comprises a video data acquisition and processing unit, a geomagnetic sensor network construction unit and a floating car data integration unit; the digital twinborn model building module comprises a three-dimensional road network model building unit and a data fusion and calibration unit; the traffic flow prediction and optimization module comprises an intelligent prediction model unit and a real-time optimization control unit; and the multi-system cooperative control module comprises an emergency priority passing system unit, a reversible lane dynamic adjustment unit and a parking lot induction unit. The traffic efficiency can be remarkably improved, the cooperative response speed is greatly increased, and carbon emission is effectively reduced.

The invention relates to the field of parking lot management, in particular to a parking management method and system based on data analysis. The method comprises the following steps: acquiring real-time state information of a parking lot and a historical parking monitoring log of the parking lot; analyzing the dynamic characteristics of the vehicle in the fixed parking space according to the real-time state information of the parking lot, and predicting the available time so as to generate the predicted available time of the fixed parking space; acquiring traffic flow data of a target parking lot area; performing multi-section traffic flow analysis on the traffic flow data of the target parking lot area, and performing traffic flow time sequence trend evolution to generate real-time road state characteristics of the target area; and performing time sequence parking demand analysis on the historical parking monitoring log of the parking lot, and performing dynamic parking demand prediction of the target parking lot according to the real-time road state characteristics of the target area so as to generate a dynamic parking demand prediction value. According to the invention, parking lot management with high efficiency and high utilization rate is realized.

The invention relates to the field of intelligent parking scheduling, in particular to a big data analysis method and system for intelligent parking. The method comprises the following steps: obtaining all parking lot information in a city based on a parking management platform, and marking parking lot nodes; performing three-dimensional distribution visualization on parking lot nodes based on all parking lot information in a city, and constructing a parking lot three-dimensional distribution visualization network; acquiring urban road traffic flow data based on a multi-source sensor; real-time vehicle dynamic movement analysis is carried out on the urban road traffic flow data, multi-time-point distribution evolution is carried out, and an urban digital traffic track portrait is constructed; obtaining a historical city parking operation log; and carrying out parking demand trend evolution on the historical city parking operation log, and then carrying out dynamic parking demand prediction in a future period, thereby obtaining dynamic parking demand prediction data. According to the invention, efficient and high-utilization-rate urban parking scheduling is realized.

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, which relates to the parking space management field, discloses a visual parking lot parking space release management system comprising a dynamic twinborn modeling module, an intelligent path planning module, a dynamic twinborn modeling module, a dynamic twinborn modeling module and a dynamic twinborn modeling module. The dynamic twin modeling module comprises a multi-source data acquisition module, a point cloud preprocessing module, a semantic enhancement modeling module, a real-time rendering and optimizing module and a dynamic updating and maintaining module; the intelligent path planning module comprises a high-precision positioning and environment sensing module and a space-time constraint path planning module. According to the visual parking lot parking space release management system, the distance between the vehicle and the parking space, the turning frequency, the energy consumption and the gradient can be comprehensively considered through the improved D * Lite algorithm, the traffic situation of the parking lot in the future is predicted in combination with the traffic situation prediction module, the path is recalculated every 5 seconds, the path of the parking space can be effectively planned, and the parking space release management efficiency is improved. And the problem of vehicle energy consumption can be effectively avoided.

The invention relates to the field of parking lot management, in particular to an intelligent parking management method and system. The method comprises the following steps: collecting a multi-angle monitoring image of an entering vehicle; performing image multi-view registration reconstruction on the multi-angle monitoring image of the entering vehicle, performing vehicle three-dimensional point cloud modeling, and constructing a three-dimensional morphological structure model of the entering vehicle; acquiring real-time state information of the three-dimensional parking lot; idle parking space recognition and idle lifting platform space distribution analysis are carried out on the real-time state information of the three-dimensional parking lot, and a three-dimensional parking lot twin model is constructed; performing optimal disable matching on the three-dimensional parking lot twin model according to the entering vehicle three-dimensional morphological structure model to obtain an optimal disable matching parking space; a real-time parking management decision is made, and a real-time parking management strategy is constructed; and obtaining a parking lot historical operation log. According to the invention, parking management with high efficiency and high utilization rate is realized.

The invention discloses an application method for parking project calculation, and relates to the technical field of parking lot control. The application method of parking project measurement and calculation comprises the following steps: S1, data acquisition; s2, evaluating a network state; s3, acquiring an environment compensation coefficient; and S4, evaluating the operation state of the camera. According to the invention, the network abnormity evaluation value is obtained through the obtained network performance data, whether network optimization is carried out or not is judged based on the network abnormity evaluation value and the preset network abnormity threshold value, and then the operation state data of the main camera and the environment data obtained after optimization are analyzed to obtain the environment compensation coefficient. And according to the operation state data of the main camera, the environment compensation coefficient and the network abnormity evaluation value, obtaining an operation abnormity evaluation value, and based on the operation abnormity evaluation value and a preset operation abnormity threshold value, determining whether to adjust the main camera, thereby improving parking space guiding accuracy. The problem of low parking space guiding accuracy in parking space guiding application of parking project measurement and calculation in the prior art is solved.

The invention belongs to the technical field of parking management, and particularly relates to an intelligent parking management method based on the Internet of Things, a terminal and a storage medium, and the method comprises the steps: collecting the parking space state, vehicle information and environment data of a parking lot in real time through a multi-mode sensor; preprocessing and fusing the collected data to generate a spatio-temporal data matrix; constructing a parking space demand prediction model based on the spatio-temporal data matrix, and outputting a parking space demand thermodynamic diagram in a future preset time period; receiving a reservation request, and generating a parking space reservation distribution strategy according to the parking space demand prediction result in combination with a preset time sequence constraint condition; outputting a corresponding appointment accepting decision and a parking space locking instruction; by monitoring the parking space state in real time, a user can obtain accurate parking information in advance, the situation that a large amount of time and energy are wasted in the parking space searching process is avoided, and therefore the parking efficiency is remarkably improved. Meanwhile, due to the introduction of the parking space reservation function, the user can lock the parking space in advance, and the time for finding the parking space is further shortened.

The invention relates to the technical field of smart parking lots, in particular to a vehicle safety management method based on a smart parking lot, which comprises the following steps: S1, multi-source data acquisition: acquiring dynamic trajectory data of a target vehicle, parking lot environment parameters and adjacent parking space state data in real time, and generating a multi-source feature vector set; s2, data space-time alignment: carrying out space-time alignment processing on the multi-source feature vector set, and outputting a standardized vehicle behavior sequence; s3, abnormal behavior recognition: inputting the standardized vehicle behavior sequence into an abnormal behavior recognition model, and generating an abnormal behavior characteristic spectrum and a confidence coefficient parameter; s4, risk level assessment: constructing a risk assessment model based on the confidence coefficient parameter and the environmental parameter, and outputting the risk level of the parking lot in the current scene; and S5, security policy triggering: triggering a corresponding security policy execution instruction according to the risk level. According to the invention, potential risks can be effectively prevented, and the safety of vehicles and personnel is ensured.

The invention discloses an intelligent parking management system based on multi-dimensional data analysis, and relates to the technical field of urban parking management, and the system can dynamically monitor the real-time state of a parking lot through a parking lot information collection module, can obtain the parking demands of a driver through a to-be-parked person collection unit, and can achieve the intelligent parking management of the driver. Comprise distance preference, cost budget and parking space types, and the most suitable parking lot is accurately matched by combining static and dynamic characteristics of the parking lot, so that the parking convenience is improved. And the correction module calculates a parking cost performance index of the parking lot, and performs dynamic adjustment according to a cost performance threshold value Z, so that the recommended parking lot is ensured to meet requirements, cost, parking convenience and parking space stability are considered, and an optimal choice is provided for a user. The system can reduce disordered wandering of vehicles in high-demand time periods or hot spot areas, improves reasonable configuration of parking resources, reduces traffic congestion caused by searching parking spaces, and improves the overall efficiency of urban parking management.

The invention relates to the technical field of information, and discloses a parking lot panoramic safety monitoring method and system, and the method comprises the steps: obtaining a real-time video stream of a parking lot, and carrying out the denoising preprocessing of each frame of image, and obtaining a clear image; adjusting the brightness and the contrast ratio of the clear image by adopting a self-adaptive illumination compensation algorithm to obtain an illumination compensation image; according to the angle and distance change of the vehicle, correcting the vehicle image visual angle in the enhanced image by adopting a perspective transformation algorithm to obtain a perspective transformation image; identifying a vehicle position and a bounding box in the perspective transformation image by adopting a vehicle detection model based on deep learning, and determining a specific position of the vehicle in the image; and in the vehicle dense area, a multi-target tracking algorithm is combined with the moving tracks and the feature information of the vehicles, the shielding relation between the vehicles is judged, and the positions of the shielded vehicles are determined. The method can realize panoramic safety monitoring of the parking lot.

The invention discloses a parking lot emergency early warning method and system based on multi-point edge calculation, and the method comprises the steps: collecting multi-modal environment data and video streams in different regions of a parking lot, obtaining the collected data, carrying out the time synchronization and dynamic threshold filtering of the collected data, and obtaining the preprocessed data; performing spatial-temporal feature alignment and noise filtering on the preprocessed data to obtain a three-dimensional environment situation map; according to the invention, functions of real-time monitoring, analysis, early warning and response of fire, gas leakage and equipment fault emergencies in the parking lot are realized, and through distributed data processing and collaborative analysis, the safety of the parking lot can be significantly improved and an emergency response strategy can be optimized. Meanwhile, the false alarm rate of emergencies can be reduced through multi-modal data fusion and dynamic threshold collaborative analysis, the average response time is shortened, the early warning precision and timeliness are remarkably improved, and the method is suitable for being widely popularized and used.

The invention relates to the technical field of warehouse-in and warehouse-out management, in particular to a second-hand car warehouse-in and warehouse-out management system and method. The system comprises a vehicle RFID tag module, an intelligent electronic price tag module, a warehouse-in management module, a warehouse-out management module, an inventory monitoring and alarming module, a multi-point RFID positioning network module and an inventory map visualization module, and a unique encrypted RFID tag can be configured for each second-hand vehicle; binding an intelligent electronic price tag for each second-hand vehicle, and receiving verification to generate a verification result; collecting label information when the vehicle enters the parking lot; the label information is verified when the vehicle leaves; receiving the verification result of the intelligent electronic price tag and the vehicle in-library data of the database to lock the position of the abnormal vehicle; dense RFID reader nodes are arranged in the market to collect and output positioning data; and receiving the positioning data and the vehicle state information, generating a real-time inventory distribution map, and providing a scheduling and site planning decision basis for a manager. The scheduling and planning efficiency of managers can be improved.

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 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 provides a semantic aerial view visual relocation method and device in a non-exposed scene, electronic equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a multi-view image sequence under a non-exposed scene (such as a tunnel, an underground pipe gallery or an underground parking lot); semantic recognition is carried out based on a pre-trained semantic target detection model, and spatial consistency semantic features are extracted through a semantic-geometric dual-channel fusion mechanism combining a semantic mask and geometric constraints; the method comprises the following steps of: realizing three-dimensional reconstruction by using a voxel micro-renderable modeling method (VGGT), and generating a dense three-dimensional semantic point cloud fusing semantics and a geometric structure; two-dimensional semantics are mapped to a three-dimensional space through a projection and back projection relation, and point cloud semantics are endowed; main structure planes such as the ground, the left wall surface and the right wall surface are extracted, and a two-dimensional semantic aerial view with semantic annotation is generated; and pose estimation is carried out based on a reciprocal matching strategy guided by a semantic mask, so that visual repositioning with high precision, high robustness and semantic interpretability is realized. The method breaks through the problems of low precision, sparse features and poor semantic consistency of traditional visual repositioning in a non-exposed environment, and can be widely applied to the fields of intelligent transportation, underground inspection and unmanned system positioning.

The invention discloses a real-time reservation and scheduling system for shared parking, and relates to the technical field of intelligent traffic and smart city management, and the system comprises a demand analysis module which is used for extracting parking lot scene types, time requirements and priority information from user parking request data, generating standardized demand description through dynamic weight distribution, and sending the standardized demand description to a user; the process decomposition module is used for decomposing a parking scheduling process into demand receiving, resource matching and path planning business units according to parking lot scene types and time requirements in the user demand analysis result, and determining a business unit set; according to the real-time reservation and scheduling system for shared parking, through dynamic weight distribution and real-time response optimization, efficient resource distribution and path planning are ensured, and the parking scheduling efficiency and the user experience are remarkably improved.

The invention discloses an elastic resource allocation and barrier gate linkage control system and method for mixed traffic of parking lots, a medium and equipment, and the system comprises a vehicle type recognition module, a dynamic resource allocation module, a cooperative control decision module, an emergency channel management module and a multi-mode communication module. According to the parking lot mixed traffic management system integrating vehicle-road cooperative communication, double-layer game optimization and elastic resource pool division, an independent resource pool and a dynamic quota adjustment mechanism of automatic driving vehicles and manual driving vehicles are constructed, and a charging pile-barrier gate cooperative optimization unit and a multi-stage emergency response protocol are combined; the global optimization of parking lot resource allocation and traffic control is realized, and the problems of prominent resource competition contradiction, separation of barrier gate control and resource allocation, insufficient intelligence of an emergency response mechanism and short delay of multi-mode communication and decision cooperation in a mixed traffic scene are solved.

The invention relates to the technical field of traffic control, and discloses a vehicle track prediction method in a parking scene, which comprises the following steps: obtaining an aerial view image containing all vehicles and parking spaces in the parking scene, and obtaining the distance and angle deviation between a driving vehicle and all parking spaces according to the aerial view image; extracting semantic information of the aerial view image; fusing the extracted semantic information, the distance between the driving vehicle and all the parking spaces and the angle deviation, and obtaining the behavior probability that the driving vehicle continues to drive and is parked in a certain parking space through a behavior point score function; and obtaining vehicle track historical data under the parking lot scene, inputting the behavior probability and the semantic image of the aerial view image into the track prediction model, and generating a track prediction result of the driving vehicle. According to the invention, the behavior probability of a certain behavior of the vehicle is used as the input of the trajectory prediction model, and the uncertainty of the vehicle in the driving process is captured, so that the accuracy of the trajectory prediction result is improved.

The invention discloses a parking space recommendation and reservation method, which comprises the steps of normalizing acquired multi-source heterogeneous data to generate parking lot static attribute data, real-time parking space state data and dynamic user request data; constructing an objective basic potential field by using fuzzy reasoning according to a fuzzy rule set capable of performing adaptive evolution based on performance feedback; modeling long and short term preferences of the user by adopting methods such as hierarchical Bayesian and an attention mechanism so as to generate a user subjective preference modulator; an objective potential field, a subjective modulator and a multi-agent rejection potential field with dynamically adjustable parameters are fused, a total potential energy function of the system is constructed, and a collaborative guidance strategy for all users and conflict avoidance is determined and output by solving the minimum value of the function. According to the invention, efficient and personalized parking guidance with macroscopic cooperation capability can be provided, and the user experience and the operation efficiency of the parking lot are significantly improved.

A control unit of a server is a device that adjusts a parking position of a vehicle in a parking lot, and includes an acquisition unit that acquires the parking position of the vehicle scheduled to receive a package in the parking lot, and an adjustment information generation unit that generates adjustment information for adjusting parking of another vehicle in a parking slot adjacent to the parking position of the vehicle scheduled to receive the package in the parking lot such that a space is secured around the vehicle scheduled to receive the package.

The invention discloses a quadruped robot inspection method based on multi-modal sensing fusion. The method comprises the following steps of: 1, initializing a global task, loading a basic navigation map, and generating the basic navigation map comprising topographic features, forbidden areas and parking positions; 2, autonomous navigation and dynamic correction of positioning deviation are realized according to laser radar SLAM data, and the positioning deviation is dynamically corrected according to real-time observation data; 3, dynamically switching or adjusting the gait strategy according to the terrain category, training the gait strategy of the quadruped robot to be matched with the terrain category, and generating a self-adaptive motion control instruction to adapt to the terrain in real time; and step 4, synchronously realizing parking area structured data acquisition and dynamic abnormal information perception through multi-sensor fusion, and realizing target state monitoring and abnormal event response in the inspection task. According to the invention, through collaborative innovation of the bionic motion platform and multi-mode intelligent detection, all-terrain coverage, total-factor perception and full-process autonomous intelligent inspection in a complex parking lot environment is realized.

The invention provides a collaborative parking method and device, electronic equipment and a storage medium, and relates to the technical field of intelligent parking. The method comprises the following steps: acquiring a predicted parking path of each vehicle in a preset scene through a preset rule; whether path conflicts and space occupation conflicts exist among the vehicles or not is detected according to the predicted parking paths, and when the path conflicts and / or the space occupation conflicts exist among the vehicles, the predicted parking paths of the vehicles with the path conflicts and / or the space occupation conflicts are optimized. According to the method, the predicted parking path of each vehicle in the preset scene is obtained through the preset rule, so that the predicted parking path of each vehicle can be determined, information sharing among vehicles of different brands and models can be realized, and then path conflicts and space occupation conflicts among the vehicles are detected according to the predicted parking paths, so that the parking efficiency of the vehicles is improved. At the moment, the predicted parking path is optimized, orderly and efficient parking among multiple vehicles in the parking lot is achieved, and the parking efficiency and the space utilization rate are improved.

The present invention relates to fully secured parking lot order pickup automation for online orders placed in advance and for orders placed at locations where orders can be picked up by customers, while staying inside their vehicles, from pickup lockers installed at parking spaces in parking lots. The present invention also relates to fully secured electronic bins accessible from secured or unsecured area for merchants to leave orders and accessible from unsecured area for customers to pick up orders. The present invention also relates to fully secured self-checkout of products using pass-thru lockers accessible in secured area to drop products inside pass-thru lockers and accessible from unsecured area to pick up products from pass-thru lockers.

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 provides a parking lot license plate detection method and system based on exclusive learning, and belongs to the technical field of computer vision and edge computing. The method comprises the following steps: deploying a lightweight detection main model at each entrance and exit edge device to carry out real-time detection and screen low-confidence difficult case samples; after the sample is uploaded, the central processing end generates a high-quality pseudo label by using a high-performance teacher model, and trains an exclusive student model by using a mixed loss function fusing detection loss, distillation loss and difficult case concentration loss; and finally, calculating a weight difference value and quantizing to generate a lightweight incremental update package, and directionally pushing the lightweight incremental update package to edge equipment to complete non-perception hot update. The system correspondingly comprises an edge processing unit and a central processing unit. According to the method, the problem that a general model cannot adapt to a multi-gateway differentiated scene is solved, unification of personalized accurate optimization and efficient lightweight updating of the model is realized, and the accuracy and reliability of license plate detection in a complex scene are remarkably improved.

Techniques for adjusting light direction and light intensity from streetlights in an environment. For example, a streetlight may include an adjustable light source that can be configured to cast light based on its specific installation environment, taking into account height (e.g., a height of a pole coupled with the streetlight relative to a surface of the environment), an angle in which the streetlight is coupled to the pole, a type of surface being lit (e.g., blacktop, concrete, grass, etc.), an amount of light present from surrounding fixtures (e.g., streetlights), and / or an intended area to illuminate (light only streets and sidewalks, light only parking lot, light only walking paths, etc.).

The invention provides a dynamic obstacle avoidance method and system for a sensing robot, and relates to the technical field of robot obstacle avoidance, and the method comprises the steps: obtaining a historical cleaning record; performing cleaning demand analysis, and dividing the target parking lot into a plurality of cleaning subareas; a plurality of sensing robots are configured; interactively obtaining real-time parking information, and constructing a plurality of static obstacle maps; performing cleaning route fitting according to the plurality of cleaning cycle configurations and the plurality of sensing robots; and in the process of controlling the multiple sensing robots to execute the cleaning tasks of the multiple cleaning subareas, the dynamic obstacles are recognized in real time, and dynamic obstacle avoidance optimization is conducted on the multiple standard obstacle avoidance cleaning tracks. According to the invention, the technical problem that the cleaning efficiency of the parking lot is further affected due to the delay of obstacle identification and path planning caused by the high change frequency of the dynamic obstacle in the prior art can be solved, and the automation and management efficiency of the parking lot is improved and the environment of the parking lot is optimized through real-time sensing and dynamic obstacle avoidance.