Dispatch optimization method and system for stereoscopic intelligent parking

Abstract

The application discloses a dispatching optimization method and system for three-dimensional intelligent parking, and relates to the technical field of parking dispatching.The method comprises the following steps: with a target vehicle entering a garage, determining vehicle identity information by performing front-end sensing collection; constructing a three-dimensional simulation diagram of the three-dimensional parking lot and a parking dispatching model, wherein the three-dimensional simulation diagram is updated in real time according to parking distribution; identifying the vehicle identity information, performing parking decision based on the parking dispatching model, and determining a parking dispatching strategy, wherein the parking dispatching strategy exists compensation based on parking turnover time; transmitting the parking dispatching strategy to a garage intelligent terminal, generating parking guidance information and parking control information, and performing three-dimensional intelligent parking management.The technical problems of low parking dispatching efficiency and unreasonable parking resource allocation in the prior art are solved, the technical effects of improving parking efficiency, optimizing parking resource allocation and further improving user experience are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of parking scheduling, in particular to a scheduling optimization method and system for three-dimensional intelligent parking. BACKGROUND

[0002] With the acceleration of urbanization, the number of vehicles in cities continues to grow, and the problem of parking difficulty is becoming increasingly serious. Traditional parking lots cannot efficiently utilize existing resources due to limited space and outdated scheduling methods, often leading to waste of parking spaces, low parking efficiency, and long vehicle retention time. In addition, existing parking management systems usually rely on manual or simple fixed rules for parking space allocation, lacking intelligent dynamic scheduling capabilities, making it difficult to adapt to complex scenarios such as high traffic peaks, diverse vehicle types, and rapidly changing parking needs. Especially in multi-story or three-dimensional parking lots, the scheduling and guidance of vehicles need to consider the distribution of three-dimensional space and dynamically updated parking conditions, further increasing the complexity of parking management. SUMMARY

[0003] The present application provides a scheduling optimization method and system for three-dimensional intelligent parking, solving the technical problems of low parking scheduling efficiency and unreasonable allocation of parking resources in the prior art.

[0004] In view of the above problems, the present application provides a scheduling optimization method and system for three-dimensional intelligent parking.

[0005] In a first aspect of the present application, a scheduling optimization method for three-dimensional intelligent parking is provided, which comprises:

[0006] With the target vehicle entering the garage, the vehicle identity information is determined by collecting front-end sensing, wherein the vehicle identity information at least includes the license plate number and the vehicle type. A three-dimensional simulation map of the three-dimensional parking lot is constructed, and a parking scheduling model is constructed, wherein the three-dimensional simulation map is updated in real time according to the parking distribution. The vehicle identity information is identified, and parking decisions are made based on the parking scheduling model to determine parking scheduling strategies, wherein the parking scheduling strategies include compensation based on parking turnaround time. The parking scheduling strategies are transmitted to the garage intelligent terminal to generate parking guidance information and parking control information, and three-dimensional intelligent parking management is performed.

[0007] In a second aspect of the present application, a scheduling optimization system for three-dimensional intelligent parking is provided, which comprises:

[0008] The data acquisition module: with the target vehicle entering the garage, the vehicle identity information is determined by front-end sensing collection, wherein the vehicle identity information at least contains the license plate number and the vehicle model; the model construction module: a three-dimensional simulation diagram of the stereoscopic parking lot is constructed, and a parking scheduling model is constructed, wherein the three-dimensional simulation diagram is updated in real time with the parking distribution; the decision generation module: the vehicle identity information is identified, the parking scheduling model is based on, the parking decision is made, and the parking scheduling strategy is determined, wherein the parking scheduling strategy exists based on the parking turnover time compensation; the parking management module: the parking scheduling strategy is transmitted to the garage intelligent terminal, the parking guidance information and the parking control information are generated, and the stereoscopic intelligent parking management is carried out.

[0009] One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0010] Firstly, with the target vehicle entering the garage, the vehicle identity information is determined by front-end sensing collection, wherein the vehicle identity information at least contains the license plate number and the vehicle model. Then, a three-dimensional simulation diagram of the stereoscopic parking lot is constructed, and a parking scheduling model is constructed, wherein the three-dimensional simulation diagram is updated in real time with the parking distribution. Then, the vehicle identity information is identified, the parking scheduling model is based on, the parking decision is made, and the parking scheduling strategy is determined, wherein the parking scheduling strategy exists based on the parking turnover time compensation. Finally, the parking scheduling strategy is transmitted to the garage intelligent terminal, the parking guidance information and the parking control information are generated, and the stereoscopic intelligent parking management is carried out. The technical problems of low parking scheduling efficiency and unreasonable parking resource allocation in the prior art are solved, the parking efficiency is improved, the parking resource allocation is optimized, and the user experience is improved. BRIEF DESCRIPTION OF DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0012] Figure 1 The flow chart of the scheduling optimization method for stereoscopic intelligent parking provided by the embodiment of the present application is shown.

[0013] Figure 2 The structure schematic diagram of the scheduling optimization system for stereoscopic intelligent parking provided by the embodiment of the present application is shown.

[0014] Explanation of reference signs: data acquisition module 11, model construction module 12, decision generation module 13, parking management module 14. DETAILED DESCRIPTION

[0015] The application provides a scheduling optimization method and system for three-dimensional intelligent parking, and solves the technical problems of low parking scheduling efficiency and unreasonable parking resource allocation in the prior art.

[0016] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the application.

[0017] It should be noted that the terms "comprising" and "having" are intended to cover non-exclusive inclusion, for example, a process, method, system, product or server comprising a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or modules that are not clearly listed or inherent to the process, method, product or device.

[0018] Embodiment one, as shown in the application provides a scheduling optimization method for three-dimensional intelligent parking, wherein the method comprises: Figure 1

[0019] With the target vehicle entering the garage, the vehicle identity information is determined by performing front-end sensing collection, wherein the vehicle identity information at least includes the license plate number and the vehicle type.

[0020] When the target vehicle enters the parking lot entrance, the system collects real-time information of the vehicle through the deployed front-end sensor devices, including license plate recognition cameras and vehicle type recognition devices, etc. The license plate recognition camera quickly captures the license plate number based on image processing algorithms and deep learning models and performs analysis, thereby accurately obtaining the unique identity information of the vehicle. At the same time, the vehicle type recognition device matches the vehicle appearance feature extraction with the vehicle type data in the database, identifies the type of the vehicle, such as SUV, sedan or truck, and the specific size and related attributes of the vehicle. These vehicle identity information not only provides a basis for parking space allocation in the parking lot, but also can optimize the dynamic adjustment of vehicle parking in combination with the scheduling needs of the parking lot.

[0021] A three-dimensional simulation diagram of the three-dimensional parking lot is constructed, and a parking scheduling model is constructed, wherein the three-dimensional simulation diagram is updated in real time with the parking distribution.

[0022] ​By constructing a three-dimensional simulation map and a parking scheduling model, dynamic management and visualization of spatial resources in the parking lot are realized. Specifically, the physical space structure of the parking lot is comprehensively data-collected by using sensing devices such as laser scanning, depth camera, ultrasonic sensor, etc., to obtain the three-dimensional space coordinates, parking space distribution, channel layout, and vehicle parking state, etc. of the parking lot; based on these data, a real-time three-dimensional simulation map of the parking lot is generated using three-dimensional modeling technology, which truly presents the multi-layer three-dimensional layout, available parking space situation, and dynamic distribution of vehicles in the parking lot. At the same time, a parking scheduling model is constructed in combination with the three-dimensional simulation map, which uses the spatial structure characteristics and dynamic data of vehicles in the parking lot to conduct dynamic allocation and path planning of parking spaces through optimization algorithms such as ant colony algorithm, genetic algorithm, etc. The three-dimensional simulation map can be updated in real time with the changes of vehicle entry and exit, parking space occupancy state, and parking distribution in the parking lot, ensuring that the scheduling model always operates based on the latest parking lot state.

[0023] Further, before constructing the three-dimensional simulation map of the three-dimensional parking lot, the following steps are included:

[0024] The three-dimensional space of the garage is scanned to determine the parking space distribution information; the parking space distribution information is traversed to read the parking space geometric information, the parking space geometric information is matched with the vehicle size to determine the matching result; and the parking space distribution information is identified based on the matching result.

[0025] Before constructing the three-dimensional simulation map of the three-dimensional parking lot, the three-dimensional space of the garage is comprehensively scanned by using a laser radar, a depth camera or other three-dimensional scanning devices to collect three-dimensional space data of the garage, to obtain relevant information such as the building structure, parking space position, lane width, column position, etc. in the parking lot. Through these scanning data, the parking space distribution information in the parking lot is generated, including the specific position, direction, size and state (free or occupied) of each parking space. The collected parking space distribution information is traversed one by one, and the geometric information of each parking space is read, including the length, width, height, available space and surrounding obstacle distribution, etc. of the parking space. On this basis, the parking space geometric information is accurately matched with the vehicle size information (such as length, width, height, etc.) to determine which parking spaces are suitable for parking the current target vehicle. For example, for larger SUV models, only parking spaces with sufficient space and close to wider channels are matched; while for small cars, compact parking spaces are preferred to improve overall space utilization. After the matching result is determined, the parking space distribution information is identified based on the matching result, for example, the parking space that is free and matches the current vehicle can be identified as green, the parking space that is free but does not match the current vehicle can be identified as yellow, and the occupied parking space can be identified as red.

[0026] The vehicle identity information is identified, and a parking decision is made based on the parking scheduling model to determine a parking scheduling strategy, wherein the parking scheduling strategy has compensation based on parking turnaround time.

[0027] After identifying the vehicle identity information, a parking decision is made based on the parking scheduling model, which comprehensively considers the matching degree of the vehicle and the parking space, parking efficiency, overall utilization rate of the parking lot, and special needs, to determine the best parking scheduling strategy. Specifically, the matching degree of the vehicle and the parking space is ensured by analyzing the geometric size of the parking space and the size of the vehicle to ensure accurate adaptation, the parking efficiency is improved by optimizing the vehicle driving path and shortening the parking time, and the parking lot utilization rate is improved by reasonably distributing the vehicles to avoid excessive concentration in the area. At the same time, a compensation mechanism based on parking turnaround time is introduced, the parking time of the target vehicle is predicted by analyzing historical data and real-time dynamics, and the allocation strategy is dynamically adjusted according to the current parking space occupancy rate and historical turnaround time, for example, short-time parking vehicles are preferentially allocated to parking spaces near the exit to reduce travel time, and long-time parking vehicles are arranged in parking spaces away from the main channel or high-flow area to improve turnaround efficiency.

[0028] Further, based on the parking scheduling model, a parking decision is made to determine a parking scheduling strategy, comprising:

[0029] According to the three-dimensional simulation map, a preliminary selected parking space is determined, wherein the preliminary selected parking space is an idle parking space; according to the vehicle type, the size of the vehicle is determined; according to the size of the vehicle, the preliminary selected parking space is screened to determine the selected parking space; a parking decision is made for the selected parking space to determine the parking scheduling strategy.

[0030] Specifically, according to the real-time updated three-dimensional simulation map, all idle parking spaces in the parking lot are identified and marked as preliminary selected parking spaces, which are the basic candidate parking space set that can currently be used for vehicle parking; combined with the vehicle type data in the identified vehicle identity information, the size information of the vehicle is calculated and determined, including the length, width and height of the vehicle and other key parameters; the preliminary selected parking spaces are screened according to the size of the vehicle, and the parking spaces that cannot accommodate the vehicle are eliminated, for example, the length of the parking space is insufficient, the width is limited, or there are obstacles around the parking space, etc., and finally a group of selected parking spaces that meet the size requirements of the vehicle are generated; for the selected parking spaces after screening, a parking decision is further made based on the parking scheduling model, and the distribution position of the parking space, the distance from the entrance, the parking turnaround time, the utilization rate of the parking space, and the special needs of the vehicle (such as the charging needs of electric vehicles or the needs of proximity to elevators, etc.) are considered, and the optimal parking scheduling strategy is determined through weight calculation and optimization algorithm.

[0031] Further, the selected parking space is subjected to a parking decision to determine the parking scheduling strategy, comprising:

[0032] determining a set of parking spaces based on the candidate parking spaces according to the principle of proximity, wherein the set of parking spaces is N parking spaces meeting the priority of proximity; performing concurrent parking collision analysis and compensation based on parking turnover time for the set of parking spaces to determine the parking scheduling strategy.

[0033] Preferably, a set of parking spaces is selected from the candidate parking spaces based on the principle of proximity to ensure that the set of parking spaces is close to the current entrance or other designated area (such as the preferred parking area of the vehicle owner) of the vehicle to meet the requirement of proximity priority. Specifically, the spatial distance between each candidate parking space and the vehicle is calculated according to the current position of the vehicle, and the distances are sorted from near to far, and finally N parking spaces meeting the proximity priority are selected to form a set of parking spaces. Next, concurrent parking collision analysis is performed for the set of parking spaces, combined with real-time dynamic information of other vehicles in the parking lot, to evaluate the path conflicts or congestion that may occur when multiple vehicles park in adjacent or close parking spaces at the same time, to ensure that the scheduling strategy does not cause parking path conflicts during execution. At the same time, the set of parking spaces is optimized and adjusted based on the compensation mechanism of parking turnover time, i.e., by analyzing historical parking data and real-time dynamics, the parking turnover time of each parking space is predicted, and the strategy of short-time parking priority near the exit and long-time parking distributed away from the main channel is dynamically optimized. Based on the above analysis results, the optimal parking scheduling strategy is finally determined, and the target vehicle is assigned to the best parking space that meets the proximity principle, avoids path conflicts, and is optimized by turnover time compensation, to realize efficient use of parking resources and intelligent management of vehicle parking process.

[0034] Further, for the set of parking spaces, concurrent parking collision analysis and compensation based on parking turnover time are performed, including:

[0035] performing collision avoidance analysis under concurrent parking for the set of parking spaces, to determine two sets of parking spaces, wherein the concurrent parking is for vehicles with parking demand within a preset time interval, and the two sets of parking are ∈ the set of parking spaces; based on a parking turnover function, the two sets of parking spaces are screened to determine target parking spaces.

[0036] Specifically, collision avoidance analysis is performed on a group of parking spaces under concurrent parking, which refers to the situation where multiple vehicles have parking needs at the same time within a preset time interval, which may cause path conflicts or competition for parking space allocation. To this end, based on real-time vehicle dynamic information of the parking lot, combined with the driving path, arrival time and parking space distribution of each vehicle, the path overlap and parking space conflict that may occur during the driving of multiple vehicles are predicted. Through the collision avoidance algorithm, these potential conflicts are analyzed, and the parking space allocation strategy is adjusted to avoid multiple vehicles competing for adjacent parking spaces or sharing channel resources. Finally, two groups of parking spaces are selected from a group of parking spaces after avoidance analysis, i.e. the parking space set that minimizes path conflicts under concurrent parking.

[0037] The two groups of parking spaces are further screened based on a parking turnover function to determine the final target parking space. The parking turnover function is an optimization model defined according to historical data of the parking lot and the current state of the vehicle, which is used to predict the parking duration of each parking space and its impact on the utilization rate of parking lot resources. The parking turnover function takes into account the following factors: the historical turnover time distribution of the parking space, the estimated parking duration of the vehicle, the distance between the parking space and the main channel of the parking lot, etc. By calculating and sorting the parking turnover time of the two groups of parking spaces, the parking spaces with higher parking turnover efficiency are preferentially selected, for example, short-time parking vehicles are preferentially allocated to parking spaces close to the channel or exit, while long-time parking vehicles are allocated to areas away from the main channel to reduce the occupation of high-demand parking spaces.

[0038] Further, before screening the two groups of parking spaces based on the parking turnover function, it includes:

[0039] determining a three-dimensional parking cycle, wherein the three-dimensional parking cycle is based on the time span for a group of three-dimensional parking components to complete a set of three-dimensional parking, the three-dimensional parking components at least including a lifting plate and a vehicle loading plate; based on the three-dimensional parking cycle, a parking turnover function is constructed; based on the parking turnover function, parking space decision constraints are made.

[0040] Before screening the two groups of parking spaces based on the parking turnover function, the three-dimensional parking cycle is first determined as the basic parameter for parking scheduling optimization. The three-dimensional parking cycle is the time span required for a group of three-dimensional parking components in the parking lot to complete a complete parking operation; the three-dimensional parking components at least include a lifting plate and a vehicle loading plate, wherein the lifting plate is responsible for lifting the vehicle to the target parking layer in a multi-layer three-dimensional parking lot, and the vehicle loading plate completes the accurate placement operation of the vehicle on the parking space. By calculating the lifting time of the lifting plate, the moving time of the vehicle loading plate and the possible waiting time, the specific value of the parking cycle is obtained.

[0041] Based on the three-dimensional parking cycle, the system constructs a parking turnover function, which comprehensively considers the parking cycle, the distance from the parking space to the entrance, historical parking turnover data, and the expected parking duration of the vehicle, to optimize the utilization efficiency of parking resources.

[0042] The parking turnover function is defined as: T = a · C + b · D + g · H, T represents the turnover efficiency score of the parking space, C is the three-dimensional parking cycle (i.e., the total time of the operation of the lifting plate and the vehicle carrying plate), D is the distance from the parking space to the entrance or the main channel, H is the average parking duration of the parking space in the historical turnover data, a, b, and g are weight coefficients used to adjust the influence of different factors according to specific scenarios. Based on the parking turnover function, constraints are imposed on the allocation of parking spaces, and by analyzing the turnover efficiency score of the parking space, high-score parking spaces are selected to meet the parking needs of vehicles. For example, short-time parking vehicles are preferentially allocated to parking spaces close to the exit and with short turnover time, while long-time parking vehicles are allocated to areas away from the main channel, ensuring efficient use of parking resources and balance of regional circulation.

[0043] The parking scheduling strategy is transmitted to the intelligent terminal of the garage to generate parking guidance information and parking control information for three-dimensional intelligent parking management.

[0044] After the parking scheduling strategy is formulated, the parking scheduling strategy is transmitted to the intelligent terminal of the garage to ensure the real-time execution of the scheduling strategy and the parking management. Specifically, the parking scheduling strategy includes target parking space allocation information, vehicle path planning information, and related operation instructions. After being transmitted to the intelligent terminal, the intelligent terminal generates parking guidance information and parking control information according to the strategy. The parking guidance information includes the driving path planning after the vehicle enters the parking lot, the target parking space location, and dynamic navigation instructions, which are pushed to the vehicle owner in real time through voice prompts, LED display screens, or mobile application programs, ensuring that the vehicle owner can quickly find the target parking space and reducing the time waste caused by parking confusion. At the same time, the intelligent terminal generates parking control information to control the operation process of the three-dimensional parking components (such as the lifting plate and the vehicle carrying plate). Specifically, the parking control information includes lifting instructions, vehicle carrying plate movement instructions, and parking space locking or releasing instructions, which realize the full-process automation operation of the vehicle from the parking entrance to the target parking space through these instructions.

[0045] Further, the generation of parking guidance information and parking control information for three-dimensional intelligent parking management includes:

[0046] According to the parking scheduling strategy, parking guidance information and parking control information are generated; the parking guidance information is transmitted to the target vehicle terminal for user parking guidance; when the target vehicle reaches the preset parking position, the three-dimensional parking components are controlled based on the parking control information to manage the target vehicle in the garage.

[0047] Specifically, according to the parking scheduling strategy, parking guidance information and parking control information are generated, wherein the parking guidance information includes the specific location of the target parking space, the optimal driving path, and the real-time navigation instructions, and the parking control information includes the control instructions for the three-dimensional parking components, such as the lifting operation of the lifting plate, the horizontal movement instructions of the vehicle loading plate, and the switching of the parking lock or release state. The parking guidance information is transmitted to the target vehicle terminal (such as the vehicle-mounted navigation system, the owner's mobile phone application, or the LED display screen in the parking lot) through wireless communication (such as Bluetooth or Internet of Things devices), providing real-time parking guidance for the owner to ensure that he or she can quickly and accurately drive to the preset parking location. When the target vehicle reaches the preset parking location, the system automatically triggers the execution of the parking control information, and through intelligent control of the three-dimensional parking components (such as the lifting plate and the vehicle loading plate), the vehicle is parked from the current parking point to the target parking space. For example, the lifting plate moves vertically according to the parking layer where the target parking space is located, and the vehicle loading plate moves horizontally to accurately park the vehicle, while dynamically adjusting the relevant operations to ensure the safe parking of the vehicle. By combining parking guidance information with parking control information, the system realizes the intelligent management of the whole process from user parking guidance to automatic control of three-dimensional parking components, which not only improves the utilization efficiency of parking resources, but also provides users with a convenient and efficient parking experience.

[0048] In summary, the embodiments of the present application have at least the following technical effects:

[0049] First, as the target vehicle enters the garage, the vehicle identity information is determined through front-end sensing collection, wherein the vehicle identity information at least includes the license plate number and the vehicle model. Then, a three-dimensional simulation map of the three-dimensional parking lot is constructed, and a parking scheduling model is constructed, wherein the three-dimensional simulation map is updated in real time with the parking distribution. Then, the vehicle identity information is identified, and based on the parking scheduling model, parking decision is made to determine the parking scheduling strategy, wherein the parking scheduling strategy exists based on the compensation of the parking turnover time. Finally, the parking scheduling strategy is transmitted to the garage intelligent terminal to generate parking guidance information and parking control information, and to perform three-dimensional intelligent parking management. The technical problems of low parking scheduling efficiency and unreasonable allocation of parking resources in the prior art are solved, and the technical effects of improving parking efficiency, optimizing parking resource allocation, and further improving user experience are achieved.

[0050] Embodiment two, based on the same inventive concept as the scheduling optimization method for three-dimensional intelligent parking in the foregoing embodiments, as shown in Figure 2 The present application provides a scheduling optimization system for three-dimensional intelligent parking, wherein the system comprises:

[0051] The data acquisition module 11: as the target vehicle enters the garage, the vehicle identity information is determined by performing front-end sensing acquisition, wherein the vehicle identity information at least contains the license plate number and the vehicle model; the model construction module 12: a three-dimensional simulation diagram of the solid parking lot is constructed, and a parking scheduling model is constructed, wherein the three-dimensional simulation diagram is updated in real time according to the parking distribution; the decision generation module 13: the vehicle identity information is identified, the parking scheduling model is used to make a parking decision, and a parking scheduling strategy is determined, wherein the parking scheduling strategy exists based on the parking turnover time compensation; the parking management module 14: the parking scheduling strategy is transmitted to the garage intelligent terminal, parking guidance information and parking control information are generated, and three-dimensional intelligent parking management is performed.

[0052] Further, the decision generation module 13 is used to execute the following method:

[0053] According to the three-dimensional simulation diagram, a preliminary selected parking space is determined, wherein the preliminary selected parking space is an idle parking space; according to the vehicle model, the vehicle size is determined; according to the vehicle size, the preliminary selected parking space is screened to determine the selected parking space; the selected parking space is subjected to parking decision to determine the parking scheduling strategy.

[0054] Further, the decision generation module 13 is used to execute the following method:

[0055] Based on the principle of proximity, a group of parking spaces based on the selected parking space is determined, wherein the group of parking spaces is N parking spaces that meet the priority of proximity; for the group of parking spaces, concurrent parking collision analysis and compensation based on parking turnover time are performed to determine the parking scheduling strategy.

[0056] Further, the decision generation module 13 is used to execute the following method:

[0057] The collision avoidance analysis under concurrent parking is performed on the group of parking spaces to determine a second group of parking spaces, wherein the concurrent parking is a vehicle that has a parking demand within a preset time interval, and the second group of parking spaces is ∈ the group of parking spaces; based on the parking turnover function, the second group of parking spaces is screened to determine the target parking space.

[0058] Further, the decision generation module 13 is used to execute the following method:

[0059] A three-dimensional parking cycle is determined, wherein the three-dimensional parking cycle is based on the time span of a group of three-dimensional parking completed by a three-dimensional parking component, and the three-dimensional parking component at least contains a lifting plate and a vehicle carrying plate; based on the three-dimensional parking cycle, a parking turnover function is constructed; based on the parking turnover function, a parking space decision constraint is performed.

[0060] Further, the parking management module 14 is used to execute the following method:

[0061] According to the parking scheduling strategy, parking guidance information and parking control information are generated; the parking guidance information is transmitted to a target vehicle terminal to guide the user to park; and when the target vehicle reaches a preset parking position, the parking control information is used to control the three-dimensional parking component to manage the target vehicle in the preset parking position.

[0062] Further, the model construction module 12 is configured to perform the following method:

[0063] The three-dimensional space of the garage is scanned to determine parking space distribution information; the parking space distribution information is traversed to read parking space geometric information, the parking space geometric information is matched with vehicle size to determine a matching result; and the parking space distribution information is marked based on the matching result.

[0064] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The above describes a specific embodiment of the present application. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

[0065] The above only describes the preferred embodiments of the present application and does not limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0066] The specification and drawings are merely exemplary of the present application, and any and all modifications, variations, combinations or equivalents that fall within the scope of the present application are considered to be covered by the present application. Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A dispatch optimization method for stereoscopic intelligent parking, characterized in that, The method comprises: With the target vehicle entering the garage, the vehicle identity information is determined by performing front-end sensing collection, wherein the vehicle identity information at least contains the license plate number and the vehicle model; A three-dimensional simulation diagram of the stereoscopic parking lot is constructed, and a parking scheduling model is constructed, wherein the three-dimensional simulation diagram is updated in real time according to the parking distribution; The vehicle identity information is identified, the parking decision is made based on the parking scheduling model, the parking scheduling strategy is determined, and the parking scheduling strategy exists compensation based on the parking turnover time; this step includes determining a preliminary selected parking space according to the three-dimensional simulation diagram, wherein the preliminary selected parking space is an idle parking space, The vehicle size is determined according to the vehicle model, The preliminary selected parking space is screened according to the vehicle size to determine a selected parking space, The parking decision is made for the selected parking space to determine the parking scheduling strategy; Based on the principle of proximity, a group of parking spaces based on the selected parking space is determined, collision avoidance analysis under concurrent parking is performed on the group of parking spaces, and a second group of parking spaces is determined; wherein the concurrent parking is a vehicle with parking demand within a preset time interval, and the second group of parking spaces is included in the group of parking spaces; The second group of parking spaces is screened based on a parking turnover function to determine a target parking space; The parking scheduling strategy is transmitted to the garage intelligent terminal to generate parking guidance information and parking control information, and stereoscopic intelligent parking management is performed; The parking turnover function is T = α · C + β · D + γ · H, T represents the turnover efficiency score of the parking space, C is the stereoscopic parking period, that is, the total time of the operation of the lifting plate and the vehicle carrying plate, D is the distance from the parking space to the entrance or the main channel, H is the average parking time of the parking space in the historical turnover data, and α, β and γ are weight coefficients.

2. The dispatch optimization method for stereoscopic intelligent parking of claim 1, wherein, Before screening the second group of parking spaces based on the parking turnover function, the following steps are included: The stereoscopic parking period is determined, wherein the stereoscopic parking period is based on the time span of completing a group of stereoscopic parking by the stereoscopic parking component, and the stereoscopic parking component at least includes the lifting plate and the vehicle carrying plate; The parking turnover function is constructed based on the stereoscopic parking period; Parking space decision constraints are made based on the parking turnover function.

3. The dispatch optimization method for stereoscopic intelligent parking of claim 2, wherein, The generation of parking guidance information and parking control information and the stereoscopic intelligent parking management include: Parking guidance information and parking control information are generated according to the parking scheduling strategy; The parking guidance information is transmitted to the target vehicle terminal to guide the user to park; When the target vehicle reaches a preset parking position, the stereoscopic parking component is controlled based on the parking control information to manage the target vehicle in the preset parking position.

4. The dispatch optimization method for stereoscopic intelligent parking of claim 1, wherein, Before constructing the three-dimensional simulation diagram of the stereoscopic parking lot, the following steps are included: The garage three-dimensional space is scanned to determine the parking space distribution information; The parking space distribution information is traversed, the parking space geometric information is read, the parking space geometric information is matched with the vehicle size, and the matching result is determined; The parking space distribution information is identified based on the matching result.

5. A dispatch optimization system for stereoscopic intelligent parking, characterized by, The system for implementing the scheduling optimization method for stereoscopic intelligent parking in any one of claims 1-4 comprises: Data acquisition module: with the target vehicle into the garage, through the front end sensing acquisition, determine the vehicle identity information, wherein the vehicle identity information at least contains the license plate number, vehicle type; Model construction module: construct the three-dimensional simulation diagram of the solid parking lot, and construct the parking scheduling model, wherein the three-dimensional simulation diagram is updated in real time with the parking distribution; Decision generation module: identify the vehicle identity information, make parking decisions based on the parking scheduling model, and determine the parking scheduling strategy, wherein the parking scheduling strategy exists based on the parking turnover time compensation; Parking management module: transmit the parking scheduling strategy to the garage intelligent terminal, generate parking guidance information and parking control information, and perform three-dimensional intelligent parking management.

Images