CN113011677B - Parking space arrangement optimization method based on garage and related products - Google Patents
Parking space arrangement optimization method based on garage and related products Download PDFInfo
- Publication number
- CN113011677B CN113011677B CN202110371055.3A CN202110371055A CN113011677B CN 113011677 B CN113011677 B CN 113011677B CN 202110371055 A CN202110371055 A CN 202110371055A CN 113011677 B CN113011677 B CN 113011677B
- Authority
- CN
- China
- Prior art keywords
- parking space
- arrangement
- space arrangement
- target
- scheme
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 64
- 238000005457 optimization Methods 0.000 title claims abstract description 53
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 35
- 238000010276 construction Methods 0.000 claims abstract description 26
- 238000013461 design Methods 0.000 claims abstract description 25
- 238000004590 computer program Methods 0.000 claims description 16
- 230000003993 interaction Effects 0.000 description 18
- 238000004891 communication Methods 0.000 description 14
- 230000006870 function Effects 0.000 description 13
- 238000011161 development Methods 0.000 description 9
- 230000018109 developmental process Effects 0.000 description 9
- 230000008569 process Effects 0.000 description 9
- 238000005192 partition Methods 0.000 description 8
- 238000012545 processing Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 6
- 238000012360 testing method Methods 0.000 description 6
- 230000002452 interceptive effect Effects 0.000 description 5
- 230000002265 prevention Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000007473 univariate analysis Methods 0.000 description 3
- 235000019800 disodium phosphate Nutrition 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003709 image segmentation Methods 0.000 description 1
- 230000009191 jumping Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000000491 multivariate analysis Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/043—Optimisation of two dimensional placement, e.g. cutting of clothes or wood
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the application provides a parking space arrangement optimization method based on a garage and a related product, wherein the method comprises the following steps: acquiring a first parking space arrangement scheme of a target garage; determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme; and when the first space utilization rate is lower than the preset space utilization rate, generating at least one target parking space arrangement scheme according to an optimization algorithm and the first parking space arrangement scheme. Like this, not only can be quick optimize original parking stall scheme of arranging, the scheme of arranging after optimizing moreover for can satisfy user's demand and the abundant scheme that utilizes the garage space of ability, has saved the time that the scheme of arranging of parking stall designed, has improved design efficiency.
Description
Technical Field
The application relates to the field of architectural design, in particular to a parking space arrangement optimization method based on a garage and a related product.
Background
Under the increasingly accelerated urbanization process, the proportion of vehicles owned by people is gradually increased, so that parking resources are increasingly tense, but because the land resources are limited, how to maximally utilize the existing land resources while guaranteeing the parking rights and interests becomes a difficult problem for designers. The designer is because need consider a plurality of factors simultaneously when designing the parking stall scheme of arranging in the garage, and consequently the compound mode of design scheme is too much, is difficult to sieve out the scheme of arranging that can satisfy the user's demand most fast in the scheme that probably exists, not only consumes plenty of time but also efficiency is not high.
Disclosure of Invention
The embodiment of the application provides a parking space arrangement optimization method based on a garage and a related product, and aims to optimize the existing parking space arrangement scheme and improve the efficiency of parking space arrangement design.
In a first aspect, an embodiment of the present application provides a parking space arrangement optimization method based on a garage, the method includes:
acquiring a first parking space arrangement scheme of a target garage;
determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme;
and when the first space utilization rate is lower than the preset space utilization rate, generating at least one target parking space arrangement scheme according to an optimization algorithm and the first parking space arrangement scheme.
In a second aspect, the embodiment of the present application provides a parking stall optimization device based on garage, includes:
the acquisition unit is used for acquiring a first parking space arrangement scheme;
the determining unit is used for determining a first space utilization rate of the building space construction of the target garage according to the first parking space arrangement scheme;
and the generating unit is used for generating at least one target parking space arrangement scheme according to an optimization algorithm and the first parking space arrangement scheme when the space utilization rate is lower than a preset space utilization rate.
In a third aspect, the present application provides an electronic device, comprising a processor, a memory, and one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps of any of the methods of the first or second aspects.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform some or all of the steps described in any one of the methods of the first aspect or the second aspect of the embodiments of the present application.
In a fifth aspect, the present application provides a computer program, wherein the computer program is operable to cause a computer to perform some or all of the steps as described in any of the methods of the first or second aspects of the embodiments of the present application. The computer program may be a software installation package.
It can be seen that, in the embodiment of the application, a first parking space arrangement scheme of a target garage is first obtained, a first space utilization rate of the target garage for building a building space according to the first parking space arrangement scheme is then determined, and finally, when the first space utilization rate is lower than a preset space utilization rate, at least one target parking space arrangement scheme is generated according to an optimization algorithm and the first parking space arrangement scheme. Like this, not only can be quick optimize original parking stall scheme of arranging, the scheme of arranging after optimizing moreover for can satisfy user's demand and the abundant scheme that utilizes the garage space of ability, has saved the time that the scheme of arranging of parking stall designed, has improved design efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1a is a system architecture diagram of a garage parking space arrangement optimization method according to an embodiment of the present application;
fig. 1b is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a parking space arrangement optimization method based on a garage according to an embodiment of the present application;
fig. 3 is a schematic flow chart of another method for optimizing parking space arrangement based on a garage according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a parking space arrangement optimizing device based on a garage according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another parking space arrangement optimizing device based on a garage according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to better understand the technical solution of the embodiments of the present application, the following first describes an electronic device and a system that may be related to the embodiments of the present application.
Referring to fig. 1a, a system architecture of a parking space optimization method based on a garage in the embodiment of the present application is described below, where the system architecture 100 includes a development device 110, a cloud server platform 120, and a user device 130, the development device 110 and the cloud server platform 120 are connected in a communication manner, and the cloud server platform 120 and the user device 130 are connected in a communication manner.
The development device 110 may be configured to establish a basic building model, i.e., a BIM model, according to a target engineering drawing, where the target engineering drawing may be a set of CAD drawings, specifically, the CAD drawing set may be identified, each region may be componentized to gradually construct the basic building model, and the basic building model may be established by a level of Detail (LOD) technique, so that accuracy of the basic building model may be improved.
Further, the development device 110 may carry an illusion Engine 4(Unreal Engine 4, UE4), perform rendering processing on the basic building model to obtain a high-definition building model, and add an interaction function to the high-definition building model through the UE4 Engine to obtain a target building model, where the interaction function may include moving, zooming, and switching a view angle of the target building model, and is not specifically limited herein. The development device 110 may package the target building model into an executable file in an EXE format or directly upload the executable file in a pixel stream form to the cloud service platform 120 for configuration of the cloud game service.
The cloud service platform 120 may include a cloud GPU server 121 and a cloud front-end server 122, and the cloud GPU server 121 and the cloud front-end server 122 are connected to each other.
In a possible embodiment, in a case that the development device 110 packages the target building model into an EXE-formatted executable file and uploads the EXE-formatted executable file to the cloud service platform 120, the cloud GPU server 121 is configured to start the EXE-formatted executable file and send the executable file to the cloud front-end server 122 in a form of a video stream, the cloud front-end server 122 is configured to receive data in the form of the video stream and generate a front-end interaction page and an interaction portal link according to the video stream data, the front-end interaction page is configured to enable a target user to interact with the target building model, and the interaction portal link is configured to jump to the target interaction page. The interactive portal link may be a Uniform Resource Locator (URL), a two-dimensional code, and the like, which is not limited herein.
In a possible embodiment, in a case that the development device 110 outputs the target building model to the cloud service platform 120 in a pixel stream, the pixel stream data may be received by a node service and deployed to the cloud server platform 120, the cloud GPU server 121 may process the pixel stream data in combination with the node service, and send the pixel stream data to the cloud front-end server 122 in a video stream, the cloud front-end server 122 is configured to receive the data in the video stream, and generate a front-end interaction page and an interaction portal link according to the video stream data, where the front-end interaction page is used for enabling a target user to interact with the target building model, and the interaction portal link is used for jumping to the target interaction page. The interactive portal link may be a Uniform Resource Locator (URL), a two-dimensional code, and the like, which is not limited herein.
IT is understood that the cloud Service platform 120 may provide the cloud game Service of the target building model by using Infrastructure as a Service (IaaS), which is to provide the IT Infrastructure as a Service to the outside through a network. In the service model, a data center does not need to be built by itself, infrastructure services including servers, storage, networks and the like are used in a renting mode, cloud game services with various channels can be provided for a target user through a cloud service platform of an IaaS architecture, the target user can log in the cloud game services of the target building model from a mobile terminal, a desktop computer terminal and a tablet computer terminal by using user equipment 130, and the target user can also log in from a webpage, a small program and the like, and the service model is not particularly limited. The portability of interaction between the target user and the target building model is greatly improved.
The user equipment 130 may send the first parking space arrangement scheme to the cloud service platform 120, the cloud service platform determines whether the parking space arrangement scheme can meet the user requirement, when the user requirement cannot be met, the cloud service platform 130 determines the target parking space arrangement scheme, the cloud service platform 120 sends the content corresponding to the target parking space arrangement scheme to the development equipment 110, the development equipment 110 generates a target building model, and the cloud service platform 130 generates streaming media data of the target building model according to the input information and sends the streaming media data to the user equipment 130 for display.
Specifically, the electronic device such as the user equipment described in fig. 1a may further include the following structure, please refer to fig. 1b, and fig. 1b is a schematic structural diagram of the electronic device according to an embodiment of the present disclosure. As shown in the figure, the electronic device may implement the steps in the garage-based parking space arrangement optimization method, where the electronic device 101 includes an application processor 102, a memory 103, a communication interface 104, and one or more programs 113, where the one or more programs 113 are stored in the memory 103 and configured to be executed by the application processor 102, and the one or more programs 113 include instructions for executing any of the steps in the following method embodiments.
The communication unit is used for supporting the communication between the first electronic equipment and other equipment. The terminal may further include a storage unit for storing program codes and data of the terminal.
The Processing Unit may be an Application Processor 102 or a controller, such as a Central Processing Unit (CPU), a general purpose Processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, units, and circuits described in connection with the disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, and the like. The communication unit may be the communication interface 104, the transceiver, the transceiving circuit, etc., and the storage unit may be the memory 103.
The memory 103 may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example, but not limitation, many forms of Random Access Memory (RAM) are available, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and direct bus RAM (DR RAM).
In a specific implementation, the application processor 102 is configured to perform any one of the steps performed by the electronic device in the method embodiments described below, and when performing data transmission such as sending, optionally invokes the communication interface 104 to complete the corresponding operation.
At present, because a plurality of factors need to be considered simultaneously when determining the parking space arrangement scheme in the garage, the combination mode of the arrangement scheme is too many, and the arrangement scheme which can most meet the user requirement is difficult to be screened out quickly in a plurality of possible schemes, so that not only a lot of time is consumed, but also the efficiency is not high.
With reference to the above description, the following will introduce the execution steps of the parking space arrangement optimization method based on the garage from the perspective of a method example, please refer to fig. 2, and fig. 2 is a schematic flow chart of the parking space arrangement optimization method based on the garage provided in the embodiment of the present application, and as shown in the drawing, the parking space arrangement optimization method based on the garage includes:
s201, acquiring a first parking space arrangement scheme of the target garage.
The first parking space arrangement scheme can be an initial arrangement scheme designed by a user, the initial arrangement scheme can be embodied on a drawing, and the server can automatically extract characteristic values in the drawing according to an image recognition function, and the method comprises the steps of recognizing values corresponding to arrangement elements such as a garage outline, a parking space size, a parking space arrangement mode, an entrance and exit position, a column network size, lane width, a lane streamline, an equipment room and a fireproof partition position, and accordingly obtaining the first parking space arrangement scheme. The method can also be used for inputting corresponding values of configuration elements such as a garage outline, a parking space size, a parking space arrangement mode, an entrance position, a post network size, a lane width, a lane streamline, an equipment room, a fire prevention partition position and the like by a user, and the input method comprises but is not limited to manual input or voice control input.
S202, determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme.
The first space utilization rate comprises the number of the shared parking spaces in the garage when the garage is constructed according to the first parking space arrangement scheme. When calculating parking stall quantity, need satisfy the size requirement of this parking stall, the minimum turning radius requirement of this garage etc for this scheme of arranging can make full use of garage space area in furthest. Or the ratio of the available area to the whole garage area can be determined according to the number of the parking spaces and the unit area occupied by the parking spaces.
In a possible example, before the generating at least one target parking space arrangement scheme according to the optimization algorithm and the first parking space arrangement scheme, the method further includes: acquiring the geographic position of the garage corresponding to the first parking space arrangement scheme; acquiring a target parking space design specification corresponding to the geographic position; and changing the parking space design specification in the optimization algorithm into the target parking space design specification.
Wherein, different geographical position and different developers all have different requirements to the design standard of parking stall, for example each developer in province and city requires differently to the standard of parking efficiency, and parking efficiency refers to unit parking area, and the parking efficiency in Shenzhen city just is: the area of a single parking space is required to be less than 40 square meters. The geographical location may be accurate to province, city, or to cell or developer. Therefore, when the optimization algorithm is used for optimizing the first parking space arrangement scheme, places with different parking space design specifications about different places in the optimization algorithm need to be changed according to geographic positions, so that the finally designed parking space arrangement scheme can meet the requirements of the places or the buildings.
Therefore, in the embodiment, the target design plan in the optimization algorithm is changed to meet the target parking space design specification of the current geographic position according to the geographic position of the current garage, so that the designed parking space arrangement scheme can meet the user requirement and meet the local specification.
In a possible example, the determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme includes: obtaining the arrangement elements included in the first parking space arrangement scheme; extracting a characteristic value corresponding to each arrangement element; and determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme according to the characteristic value.
The arrangement elements may include elements such as a garage profile, a parking space size, a parking space arrangement mode, an entrance position, a column network size, lane width, a lane flow line, an equipment room position, and a fire prevention partition position, and the characteristic values may be used to describe the arrangement elements, for example, the characteristic value of the lane flow line may be a value corresponding to a turning radius, the number of parking space barriers in the garage, or the probability that a wall is located at a parking space side.
In a specific implementation, after obtaining the feature value corresponding to each arrangement element, the feature value corresponding to each arrangement element may be compared with the target feature value of the arrangement element, so as to determine whether the arrangement element is reasonable in the current arrangement scheme. And if the first parking space is not reasonable, determining that the first parking space arrangement scheme needs to be changed.
Therefore, in this example, the first space utilization rate is determined according to the characteristic value, the accuracy of the calculated first space utilization rate can be enhanced, and the arrangement condition corresponding to each arrangement element can be accurately grasped according to the characteristic value.
In a possible example, the determining, according to the characteristic value, a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme includes: determining the minimum parking efficiency according to the target parking space design specification; calculating the number of parking spaces of the garage according to the minimum parking efficiency and the characteristic value; and determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme according to the parking space number.
Wherein, can confirm the parking efficiency of the parking stall in this garage according to the eigenvalue that the parking stall size corresponds, then according to the eigenvalue that other elements of arranging correspondDetermining the available area of the parking spaces in the garage, and calculating the number of the parking spaces according to the available area of the parking spaces and the parking efficiency. For example, the determined lowest parking efficiency is a, the position and the number of the wall are determined according to the characteristic values determined by the arrangement elements, the available area B of the garage is determined according to the garage outline, the garage is divided into a plurality of partitions according to the position and the number of the wall, the available parking space area B of each partition is obtained, the parking space number Y of each partition is calculated, and therefore the calculation mode of the parking space number Y is as follows: INT [ (b) and Y ═ INT [ (b) 1 +b 2 +...+b n )÷A]Wherein, b n The number of parking spaces in the nth partition is defined, and the calculation mode of the first space utilization rate S at the time is as follows: s ═ YA ÷ B.
It is thus clear that in this example, determine the first space utilization in this garage according to parking efficiency and parking quantity, can improve first space utilization's computational efficiency on the basis of satisfying the design demand.
S203, when the first space utilization rate is lower than a preset space utilization rate, generating at least one target parking space arrangement scheme according to an optimization algorithm and the first parking space arrangement scheme.
The optimization algorithm is based on a large number of high-quality design drawings of the parking lot parking space arrangement, through a large number of neural network learning, the thinking and design experience of parking space designers for more than 5-8 years are simulated, and self-summary and promotion are achieved. Therefore, the optimization algorithm has different calculation modes and parking space arrangement modes aiming at different buildings, different geographical positions and different environment conditions of the buildings, the applicable scenes of the buildings and the like. After the service platform obtains the first parking space arrangement scheme, the first space utilization rate of the scheme is determined firstly, and if the first space utilization rate is lower than the preset space utilization rate, the service platform redesigns the arrangement scheme of the parking space according to the objective condition of the garage based on the user demand, so that at least one target parking space arrangement scheme meeting the preset space utilization rate is obtained.
In a possible example, the generating at least one target parking space arrangement scheme according to the optimization algorithm and the first parking space arrangement scheme includes: acquiring a plurality of arrangement elements in the first parking space arrangement scheme; determining any arrangement element in the plurality of arrangement elements as a current arrangement element; adjusting the arrangement mode of the current arrangement elements in the first parking space arrangement scheme according to an optimization algorithm to obtain a plurality of second parking space arrangement schemes; determining a second space utilization rate of the target garage for building space construction according to the plurality of second parking space arrangement schemes respectively; determining a second parking space arrangement scheme with the largest second space utilization rate in a plurality of second space utilization rates corresponding to the plurality of second parking space arrangement schemes, wherein the second parking space arrangement scheme with the largest second space utilization rate is a third parking space arrangement scheme aiming at the current arrangement elements; repeating the steps until a third parking space arrangement scheme aiming at each arrangement element in the plurality of arrangement elements is obtained; and generating at least one target parking space arrangement scheme according to the third parking space arrangement scheme of each arrangement element.
The method comprises the steps of respectively adjusting the values of arrangement elements such as the size of parking spaces, the arrangement mode of the parking spaces, the positions of an entrance and an exit, the size of a column network, the width of a lane, lane streamlines, equipment rooms, fireproof partition positions and the like by adopting a univariate analysis method, circulating the process to obtain different second parking space arrangement schemes, and then searching an optimal arrangement scheme aiming at each variable from the second parking space arrangement schemes, wherein the optimal arrangement scheme is the parking space arrangement scheme with the maximum space utilization rate. For example, based on the first arrangement scheme, firstly, the parking space size of the user is made into a single variable, the parking space arrangement is performed by using different parking space sizes and other arrangement elements in the original first parking space arrangement scheme, a plurality of second parking space arrangement schemes are obtained, then a third parking space arrangement scheme for the parking space size is selected from the plurality of second parking space arrangement schemes, the second space utilization rate corresponding to the third parking space arrangement scheme is the highest of the plurality of second parking space arrangement schemes, and the calculation scheme of the second space utilization rate is the same as the calculation method of the first space utilization rate. When determining the second space utilization rate of each second parking space arrangement scheme, it may be determined whether the feature value of each corresponding element in each second parking space arrangement scheme conforms to the preset feature value of the element, and if not, the second parking space arrangement scheme may be deleted without calculating the second space utilization rate of the second parking space arrangement scheme. Then, the lane width is made to be a single variable, different lane widths of users and other arrangement elements including the original parking space size in the original first parking space arrangement scheme are arranged in the parking spaces, and the parking space arrangement scheme aiming at the lane width is obtained as the same as the third arrangement scheme aiming at the parking space size. And by analogy, a third parking space arrangement scheme aiming at each arrangement element is obtained.
Therefore, in this example, a univariate analysis method is used to obtain a third parking space arrangement scheme for each parking space arrangement element, and the parking space arrangement scheme can be obtained to the greatest extent for comprehensive analysis, so that the finally determined target parking space arrangement scheme can meet the user requirements and maximize the utilization rate of the garage space.
In a possible example, the generating at least one target parking space arrangement scheme according to the third parking space arrangement scheme of each arrangement element includes: combining any one third parking space arrangement scheme in a plurality of third parking space arrangement schemes with one or more other third parking space arrangement schemes according to the optimization algorithm to obtain a plurality of combined parking space arrangement schemes, wherein the other third parking space arrangement schemes are parking space arrangement schemes in the plurality of third parking space arrangement schemes; determining a third space utilization rate of the target garage for building space construction according to the multiple combined parking space arrangement schemes; and determining a combined parking space arrangement scheme with the third space utilization rate larger than the preset space utilization rate in the plurality of parking space combined arrangement schemes as a target parking space arrangement scheme.
After the third parking space arrangement scheme for each arrangement element is obtained, the plurality of third parking space arrangement schemes can be combined and adjusted through different combination conditions, so that a plurality of combined parking space schemes are obtained, and finally, the third space utilization rate corresponding to the combined parking space schemes is calculated, and the calculation mode of the third space utilization rate is the same as that of the first space utilization rate. When the target parking space arrangement scheme is obtained, the size of the characteristic value of each corresponding arrangement element in the third parking space arrangement scheme of each arrangement element can be obtained, then the characteristic values and the characteristic values of other arrangement elements are combined and arranged to obtain the combined parking space arrangement scheme, and finally the combined arrangement scheme with the space utilization rate larger than the preset space utilization rate in the combined parking space arrangement scheme is determined to be the target parking space arrangement scheme. For example, the third arrangement scheme corresponding to the parking space size and the third parking space arrangement mode corresponding to the lane width are combined to obtain a combined parking space arrangement scheme, or the third parking space arrangement scheme corresponding to the parking space size, the third parking space arrangement scheme corresponding to the lane width and the third parking space arrangement scheme corresponding to the lane streamline are combined to obtain the combined parking space arrangement scheme.
It is thus clear that in this example, through multivariate analysis, the third parking stall scheme of arranging that corresponds a plurality of elements of arranging recombines, obtains the scheme of arranging of target parking stall, can acquire the optimal parking stall scheme of arranging fast, guarantees that the scheme of arranging of parking stall can satisfy user's demand and space utilization satisfies under the condition of predetermineeing space utilization, improves the efficiency that the parking stall was arranged.
In one possible example, the plurality of arrangement elements includes: the adjustment parking stall size, parking stall mode of arranging, access & exit position, column network size, lane width, lane streamline, equipment room, fire prevention subregion position.
Therefore, in the embodiment, the arrangement elements influencing the space utilization rate of the garage can be comprehensively considered, so that the parking space arrangement scheme can be quickly and accurately designed.
Specifically, after the target parking space arrangement scheme is determined, the service platform can acquire a BIM model according to the target parking space arrangement scheme, so that a target user can interact with the BIM model of the underground garage, click any parking space region to check detailed information of the parking space, if the clear height (namely the height of the lowest point after a pipeline is installed) is lower than the parking space with a preset height, when the target user selects the parking space and selects a target vehicle type, a collision test function of a backup compartment (aiming at the hidden triggering roof box collision test of a specific vehicle type, such as an off-road vehicle and the like) is further provided on an interaction page, and the function can be realized through the following interaction steps:
step A1, the user equipment receives a click operation instruction from the target user, determines a target parking space selected by the target user, and sends an information feedback request of the target parking space to the cloud.
Step A2, the cloud receives an information feedback request of the target parking space, and when the clear height of the target parking space is lower than a preset height, the stream media data with the trunk collision test function is pushed.
The streaming media data can be displayed in an interactive page mode, when the fact that the net height of the target parking space is lower than the preset height is detected, the interactive page displays the target parking space in a first-person visual angle, and a 'trunk collision test' button is displayed below the interactive page.
Step A3, the user equipment displays the streaming media data, receives a selection instruction of a target user for the collision test function, displays a vehicle information entry page, receives target vehicle type information entered by the target user, and sends the target vehicle type information to the cloud.
After clicking a 'trunk collision test' button, a target user can enter a secondary page, the secondary page is a vehicle information entry page and comprises multiple entry ways, and the target user can enter target vehicle information on the page in the modes of characters, pictures, videos, voices and the like. For example, the target user may upload a vehicle picture to be tested on the vehicle information entry page, and the cloud may obtain the target vehicle type information through the following steps:
step B1, preprocessing the vehicle picture, and performing image segmentation on the vehicle picture to obtain a target vehicle region;
step B2, extracting the outline of the target vehicle area to obtain a first vehicle type outline;
step B3, extracting characteristic points of the target vehicle area to obtain a first characteristic point set;
the contour extraction algorithm may be at least one of: hough transform, canny operator, sobel operator, prewitt operator, etc., without limitation, the feature point extraction algorithm may be at least one of: harris corner detection, Scale Invariant Feature Transform (SIFT), laplace transform, wavelet transform, contourlet transform, shear wave transform, and the like, without limitation.
Step B4, matching the first vehicle type contour with a second vehicle type contour of a preset vehicle type template i to obtain a first matching value, wherein the preset vehicle type template i is any vehicle type template in a preset vehicle type template set;
step B5, matching the first characteristic point set with a second characteristic point set of the preset template i to obtain a second matching value;
step B6, determining the target definition of the target area when the first matching value is larger than a first matching threshold and the second matching value is larger than a second matching threshold;
if the first matching value is smaller than a first matching threshold value or the second matching value is smaller than a second matching threshold value, matching the first vehicle type contour with the vehicle type contour of any one preset vehicle type template x except the preset vehicle type template i in the preset vehicle type template set, and matching the first characteristic point set with the characteristic point set of any one preset vehicle type template x except the preset vehicle type template i in the preset vehicle type template set until the first matching value is larger than the first matching threshold value and the second matching value is larger than the second matching threshold value. The first matching threshold and the second matching threshold may be set by themselves.
Step B7, determining a target weight value pair corresponding to the target definition according to a preset mapping relation between definition and the weight value pair, wherein the target weight value pair comprises a target first weight value and a target second weight value;
and the sum of the target first weight and the target second weight is 1, and the target first weight and the target second weight are both between 0 and 1.
Step B8, performing weighting operation according to the first matching value, the second matching value, the target first weight and the target second weight to obtain a target matching value;
and the target matching value is the target first weight value and the first matching value + the target second weight value and the second matching value.
Step B9, when the target matching value is larger than a third preset threshold value, determining that the vehicle type corresponding to the preset vehicle type template i is the target vehicle type;
and step B10, determining target vehicle type information according to the target vehicle type, wherein the target vehicle type information comprises vehicle size information and the like.
The target vehicle information can be determined by adopting corresponding methods such as voice recognition, video recognition and the like in the modes of voice input, video input and the like, and details are not repeated here.
Step A4, the cloud receives information of a target vehicle type, and determines the highest opening height of a trunk and the highest opening height of a roof box of the target vehicle type;
and A5, generating a preset animation page according to the maximum trunk opening height and the maximum roof box opening height of the target vehicle type, and sending the preset animation page to user equipment.
Wherein, if the highest opening height of roof case is greater than the highest opening height of back-up compartment, then carry out:
if the net height is greater than the highest opening height of the roof box, sending a first animation, wherein the first animation comprises a trunk opening animation and a roof box opening animation;
if the net height is greater than the highest opening height of the trunk and less than the highest opening height of the roof box, sending a second animation, wherein the second animation comprises the trunk opening animation and the roof box opening collision animation;
and if the net height is less than or equal to the highest opening height of the trunk, sending a third animation, wherein the third animation only comprises a trunk opening collision animation.
If the highest opening height of the roof box is less than or equal to the highest opening height of the trunk, executing the following steps:
if the net height is larger than the highest opening height of the trunk, sending a fourth animation, wherein the fourth animation comprises a trunk opening animation and a roof box opening animation;
and if the net height is smaller than the highest opening height of the trunk, sending a fifth animation which comprises a trunk opening collision animation.
When the trunk or the roof box collides, prompt information can be generated on the collision animation page, and the prompt information can be displayed to a target user in the forms of characters, pictures, sounds, videos and the like and is used for reminding the target user that the target parking space is not matched with the target vehicle type at the moment.
Through the steps, the target user can interact with the BIM, the requirement of whether the net height meets the target vehicle type when the target parking space is used for parking different vehicle types is checked, interaction is directly carried out in a cloud game mode, display is carried out in an animation mode, and interaction experience of the target user is greatly improved.
It can be seen that, in the embodiment of the application, a first parking space arrangement scheme of a target garage is firstly obtained, a first space utilization rate of the target garage for building a building space according to the first parking space arrangement scheme is then determined, and finally, when the first space utilization rate is lower than a preset space utilization rate, at least one target parking space arrangement scheme is generated according to an optimization algorithm and the first parking space arrangement scheme. Like this, not only can be quick optimize original parking stall scheme of arranging, the scheme of arranging after optimizing moreover for can satisfy user's demand and the abundant scheme that utilizes the garage space of ability, saved the time that the scheme of arranging of parking stall designed, improved design efficiency.
Referring to fig. 3, fig. 3 is a schematic flowchart of another parking space arrangement optimizing method based on a garage according to an embodiment of the present application, where the parking space arrangement optimizing method based on a garage includes the following steps:
s301, acquiring a first parking space arrangement scheme of a target garage;
s302, determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme;
s303, when the first space utilization rate is lower than a preset space utilization rate, acquiring a plurality of arrangement elements in the first parking space arrangement scheme;
s304, determining any arrangement element in the plurality of arrangement elements as a current arrangement element;
s305, adjusting the arrangement mode of the current arrangement elements in the first parking space arrangement scheme according to an optimization algorithm to obtain a plurality of second parking space arrangement schemes;
s306, determining a second space utilization rate of the target garage for building the building space according to the plurality of second parking space arrangement schemes respectively;
s307, determining a second parking space arrangement scheme with the largest second space utilization rate in a plurality of second space utilization rates corresponding to the plurality of second parking space arrangement schemes, wherein the second parking space arrangement scheme with the largest second space utilization rate is a third parking space arrangement scheme aiming at the current arrangement elements;
s308, repeating the steps until a third parking space arrangement scheme aiming at each arrangement element in the plurality of arrangement elements is obtained;
and S309, generating at least one target parking space arrangement scheme according to the third parking space arrangement scheme of each arrangement element.
It can be seen that, in this example, according to a univariate analysis method, each arrangement element is determined as a current arrangement element, then only the magnitude of the characteristic value of the current arrangement element is changed, the current arrangement elements with different characteristic values and other arrangement elements in the first parking space arrangement scheme are subjected to parking space arrangement, a second parking space arrangement scheme is obtained, then a parking space arrangement element with the largest second space utilization rate in the second parking space arrangement scheme is determined as a third parking space arrangement scheme for the current arrangement element, then any other arrangement element is determined as a current arrangement element, the above steps are repeated, or a third parking space arrangement scheme for each arrangement element is determined, and then a target parking space arrangement scheme is obtained according to the third parking space arrangement scheme. Therefore, all possible parking space arrangement schemes can be comprehensively and quickly acquired, the designed parking space arrangement scheme can not only fully utilize the garage space, but also meet the requirements of users, and the parking space arrangement efficiency is improved.
Please refer to fig. 4 in a manner consistent with the embodiments of fig. 2 and fig. 3, and fig. 4 is a schematic structural diagram of a parking space arrangement optimizing device based on a garage according to an embodiment of the present application. The parking space arrangement optimizing device 400 includes an obtaining unit 401, configured to obtain a first parking space arrangement scheme; a determining unit 402, configured to determine a first space utilization rate of the target garage for building the building space according to the first parking space arrangement scheme; the generating unit 403 is configured to generate at least one target parking space arrangement scheme according to an optimization algorithm and the first parking space arrangement scheme when the space utilization rate is lower than a preset space utilization rate.
In a possible example, in the aspect of generating at least one target parking space arrangement scheme according to the optimization algorithm and the first parking space arrangement scheme, the generating unit 403 is specifically configured to: acquiring a plurality of arrangement elements in the first parking space arrangement scheme; determining any arrangement element in the plurality of arrangement elements as a current arrangement element; adjusting the arrangement mode of the current arrangement elements in the first parking space arrangement scheme according to an optimization algorithm to obtain a plurality of second parking space arrangement schemes; determining a second space utilization rate of the target garage for building space construction according to the plurality of second parking space arrangement schemes respectively; determining a second parking space arrangement scheme with the largest second space utilization rate in a plurality of second space utilization rates corresponding to the plurality of second parking space arrangement schemes, wherein the second parking space arrangement scheme with the largest second space utilization rate is a third parking space arrangement scheme aiming at the current arrangement elements; repeating the steps until a third parking space arrangement scheme aiming at each arrangement element in the plurality of arrangement elements is obtained; and generating at least one target parking space arrangement scheme according to the third parking space arrangement scheme of each arrangement element.
In a possible example, in terms of generating at least one target parking space arrangement scheme according to the third parking space arrangement scheme of each arrangement element, the generating unit 403 is specifically configured to: combining any one third parking space arrangement scheme in a plurality of third parking space arrangement schemes with one or more other third parking space arrangement schemes according to the optimization algorithm to obtain a plurality of combined parking space arrangement schemes, wherein the other third parking space arrangement schemes are parking space arrangement schemes in the plurality of third parking space arrangement schemes; determining a third space utilization rate of the target garage for building space construction according to the multiple combined parking space arrangement schemes; and determining a combined parking space arrangement scheme with the third space utilization rate larger than the preset space utilization rate in the plurality of parking space combined arrangement schemes as a target parking space arrangement scheme.
In one possible example, the plurality of arrangement elements includes: the adjustment parking stall size, parking stall mode of arranging, access & exit position, column network size, lane width, lane streamline, equipment room, fire prevention subregion position.
In a possible example, before the generating at least one target parking space arrangement according to the optimization algorithm and the first parking space arrangement, the apparatus 400 is further configured to: acquiring the geographic position of the garage corresponding to the first parking space arrangement scheme; acquiring a target parking space design specification corresponding to the geographic position; and changing the parking space design specification in the optimization algorithm into the target parking space design specification.
In a possible example, in terms of determining the first space utilization rate of the target garage for building the building space according to the first parking space arrangement scheme, the determining unit 402 is specifically configured to: acquiring arrangement elements included in the first vehicle position arrangement scheme; extracting a characteristic value corresponding to each arrangement element; and determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme according to the characteristic value.
In a possible example, in the aspect of determining, according to the characteristic value, a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme, the determining unit 402 is specifically configured to: determining the minimum parking efficiency according to the target parking space design specification; calculating the number of parking spaces of the garage according to the minimum parking efficiency and the characteristic value; and determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme according to the parking space number.
It can be understood that, since the method embodiment and the apparatus embodiment are different presentation forms of the same technical concept, the content of the method embodiment portion in the present application should be synchronously adapted to the apparatus embodiment portion, and is not described herein again.
Under the condition of adopting an integrated unit, as shown in fig. 5, fig. 5 is a schematic structural diagram of another parking space arrangement optimizing device based on a garage provided by the embodiment of the application. In fig. 5, the garage-based parking space arrangement optimizing apparatus 500 includes: a processing module 502 and a communication module 501. The processing module 502 is used for controlling and managing actions of the garage-based parking space arrangement optimization device, for example, controlling and managing the acquisition unit 401, the determination unit 402, and the generation unit 403 when executing relevant commands, and/or performing other processes of the technology described herein. The communication module 501 is used for supporting interaction between the parking space arrangement optimizing device based on the garage and other equipment. As shown in fig. 5, the parking space arrangement optimizing device based on the garage may further include a storage module 503, where the storage module 503 is configured to store program codes and data of the parking space arrangement optimizing device based on the garage.
The Processing module 502 may be a Processor or a controller, and may be, for example, a Central Processing Unit (CPU), a general-purpose Processor, a Digital Signal Processor (DSP), an ASIC, an FPGA or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others. The communication module 501 may be a transceiver, an RF circuit or a communication interface, etc. The storage module 503 may be a memory.
All relevant contents of each scene related to the method embodiment may be referred to the functional description of the corresponding functional module, and are not described herein again. The parking space arrangement optimization device 500 based on the garage and the parking space arrangement optimization device 500 based on the garage can both execute the parking space arrangement optimization method based on the garage shown in fig. 2 and fig. 3.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer instructions or the computer program are loaded or executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire or wirelessly. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods as set out in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus and system may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative; for example, the division of the unit is only a logic function division, and there may be another division manner in actual implementation; for example, various elements or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a portable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other media capable of storing program codes.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications can be easily made by those skilled in the art without departing from the spirit and scope of the present invention, and it is within the scope of the present invention to include different functions, combination of implementation steps, software and hardware implementations.
Claims (8)
1. The parking space arrangement optimization method based on the garage is characterized by comprising the following steps:
acquiring a first parking space arrangement scheme of a target garage;
determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme;
when the first space utilization rate is lower than a preset space utilization rate, generating at least one target parking space arrangement scheme according to an optimization algorithm and the first parking space arrangement scheme;
the generating at least one target parking space arrangement scheme according to the optimization algorithm and the first parking space arrangement scheme includes:
acquiring a plurality of arrangement elements in the first parking space arrangement scheme;
determining any arrangement element in the plurality of arrangement elements as a current arrangement element;
adjusting the arrangement mode of the current arrangement elements in the first parking space arrangement scheme according to an optimization algorithm to obtain a plurality of second parking space arrangement schemes;
determining a second space utilization rate of the target garage for building space construction according to the plurality of second parking space arrangement schemes respectively;
determining a second parking space arrangement scheme with the largest second space utilization rate in a plurality of second space utilization rates corresponding to the plurality of second parking space arrangement schemes, wherein the second parking space arrangement scheme with the largest second space utilization rate is a third parking space arrangement scheme aiming at the current arrangement elements;
repeating the steps until a third parking space arrangement scheme aiming at each arrangement element in the plurality of arrangement elements is obtained;
generating at least one target parking space arrangement scheme according to the third parking space arrangement scheme of each arrangement element;
generating at least one target parking space arrangement scheme according to the third parking space arrangement scheme of each arrangement element, including:
combining any one third parking space arrangement scheme in a plurality of third parking space arrangement schemes with one or more other third parking space arrangement schemes according to the optimization algorithm to obtain a plurality of combined parking space arrangement schemes, wherein the other third parking space arrangement schemes are parking space arrangement schemes in the plurality of third parking space arrangement schemes;
determining a third space utilization rate of the target garage for building space construction according to the multiple combined parking space arrangement schemes;
and determining a combined parking space arrangement scheme with the third space utilization rate larger than the preset space utilization rate in the plurality of combined parking space arrangement schemes as a target parking space arrangement scheme.
2. The method of claim 1, wherein the plurality of arrangement elements comprises: adjusting the size of the parking places, the arrangement mode of the parking places, the positions of the entrance and the exit, the size of the column net, the width of the lane, the streamline of the lane, the equipment room and the position of the fireproof subarea.
3. The method of claim 1, wherein prior to generating at least one target slot assignment based on the optimization algorithm and the first slot assignment, the method further comprises:
acquiring the geographic position of the garage corresponding to the first parking space arrangement scheme;
acquiring a target parking space design specification corresponding to the geographic position;
and changing the parking space design specification in the optimization algorithm into the target parking space design specification.
4. The method of claim 3, wherein the determining a first space utilization for the target garage for building space construction according to the first parking space arrangement comprises:
obtaining the arrangement elements included in the first parking space arrangement scheme;
extracting a characteristic value corresponding to each arrangement element;
and determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme according to the characteristic value.
5. The method of claim 4, wherein the determining a first space utilization for building space construction of the target garage according to the first parking space arrangement plan based on the eigenvalues comprises:
determining the minimum parking efficiency according to the target parking space design specification;
calculating the number of parking spaces of the garage according to the minimum parking efficiency and the characteristic value;
and determining a first space utilization rate of the target garage for building space construction according to the first parking space arrangement scheme according to the parking space number.
6. The utility model provides a parking stall optimization device that arranges based on garage which characterized in that includes:
the acquisition unit is used for acquiring a first parking space arrangement scheme of the target garage;
the determining unit is used for determining a first space utilization rate of the building space construction of the target garage according to the first parking space arrangement scheme;
the generating unit is used for generating at least one target parking space arrangement scheme according to an optimization algorithm and the first parking space arrangement scheme when the space utilization rate is lower than a preset space utilization rate;
in the aspect of generating at least one target parking space arrangement scheme according to the optimization algorithm and the first parking space arrangement scheme, the generating unit is further configured to: acquiring a plurality of arrangement elements in the first parking space arrangement scheme;
determining any arrangement element in the plurality of arrangement elements as a current arrangement element;
adjusting the arrangement mode of the current arrangement elements in the first parking space arrangement scheme according to an optimization algorithm to obtain a plurality of second parking space arrangement schemes;
determining a second space utilization rate of the target garage for building space construction according to the plurality of second parking space arrangement schemes respectively;
determining a second parking space arrangement scheme with the largest second space utilization rate in a plurality of second space utilization rates corresponding to the plurality of second parking space arrangement schemes, wherein the second parking space arrangement scheme with the largest second space utilization rate is a third parking space arrangement scheme aiming at the current arrangement elements;
repeating the steps until a third parking space arrangement scheme aiming at each arrangement element in the plurality of arrangement elements is obtained;
generating at least one target parking space arrangement scheme according to the third parking space arrangement scheme of each arrangement element;
in the aspect of generating at least one target parking space arrangement scheme according to the third parking space arrangement scheme of each arrangement element, the generating unit is further configured to: combining any one third parking space arrangement scheme in a plurality of third parking space arrangement schemes with one or more other third parking space arrangement schemes according to the optimization algorithm to obtain a plurality of combined parking space arrangement schemes, wherein the other third parking space arrangement schemes are parking space arrangement schemes in the plurality of third parking space arrangement schemes;
determining a third space utilization rate of the target garage for building space construction according to the multiple combined parking space arrangement schemes;
and determining a combined parking space arrangement scheme with the third space utilization rate larger than the preset space utilization rate in the plurality of combined parking space arrangement schemes as a target parking space arrangement scheme.
7. An electronic device comprising a processor, a memory, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
8. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110371055.3A CN113011677B (en) | 2021-04-06 | 2021-04-06 | Parking space arrangement optimization method based on garage and related products |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110371055.3A CN113011677B (en) | 2021-04-06 | 2021-04-06 | Parking space arrangement optimization method based on garage and related products |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113011677A CN113011677A (en) | 2021-06-22 |
| CN113011677B true CN113011677B (en) | 2022-08-09 |
Family
ID=76388008
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110371055.3A Active CN113011677B (en) | 2021-04-06 | 2021-04-06 | Parking space arrangement optimization method based on garage and related products |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113011677B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114155716A (en) * | 2022-02-08 | 2022-03-08 | 深圳市金蚁云数字科技有限公司 | Parking space management method, device, equipment and computer storage medium |
| CN115577869B (en) * | 2022-08-29 | 2023-10-27 | 上海天华建筑设计有限公司 | Automatic arrangement method for ground garage parking spaces based on genetic algorithm |
| CN118072548B (en) * | 2024-04-18 | 2024-08-16 | 广东华宸建设工程质量检测有限公司 | Intelligent parking lot license plate recognition and parking space management system based on deep learning |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111159811A (en) * | 2020-01-02 | 2020-05-15 | 广东博智林机器人有限公司 | Underground garage layout method, device, equipment and storage medium |
| CN111506939A (en) * | 2020-04-24 | 2020-08-07 | 广东博智林机器人有限公司 | Garage design method, device, terminal and medium |
| CN111915091A (en) * | 2020-08-10 | 2020-11-10 | 广东博智林机器人有限公司 | Parking space arrangement method, device, terminal and medium |
| CN111968402A (en) * | 2020-08-12 | 2020-11-20 | 广东博智林机器人有限公司 | Parking space arrangement method, device, terminal and medium |
-
2021
- 2021-04-06 CN CN202110371055.3A patent/CN113011677B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111159811A (en) * | 2020-01-02 | 2020-05-15 | 广东博智林机器人有限公司 | Underground garage layout method, device, equipment and storage medium |
| CN111506939A (en) * | 2020-04-24 | 2020-08-07 | 广东博智林机器人有限公司 | Garage design method, device, terminal and medium |
| CN111915091A (en) * | 2020-08-10 | 2020-11-10 | 广东博智林机器人有限公司 | Parking space arrangement method, device, terminal and medium |
| CN111968402A (en) * | 2020-08-12 | 2020-11-20 | 广东博智林机器人有限公司 | Parking space arrangement method, device, terminal and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113011677A (en) | 2021-06-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113011677B (en) | Parking space arrangement optimization method based on garage and related products | |
| CN109240576B (en) | Image processing method and device in game, electronic device and storage medium | |
| WO2020228405A1 (en) | Image processing method and apparatus, and electronic device | |
| CN103157281B (en) | Display method and display equipment of two-dimension game scene | |
| CN112926083B (en) | Interactive processing method based on building information model and related device | |
| CN113989442B (en) | Building information model construction method and related device | |
| CN110211017B (en) | Image processing method and device and electronic equipment | |
| JP2018026815A (en) | Video call quality measurement method and system | |
| KR102003481B1 (en) | Method and apparatus for creating virtual reality contents for virtual reality-based interior consulting service | |
| CN115205925A (en) | Expression coefficient determining method and device, electronic equipment and storage medium | |
| CN112966256B (en) | Equipment management method based on building information model and related device | |
| CN113902712A (en) | Image processing method, device, equipment and medium based on artificial intelligence | |
| CN110555861B (en) | Optical flow calculation method and device and electronic equipment | |
| CN113221216B (en) | BIM data verification method and device, electronic equipment and storage medium | |
| CN114417452A (en) | Method for processing building information model and related device | |
| CN113010939A (en) | Processing method of visual BIM model and related product thereof | |
| CN112784348A (en) | Lane design method, lane design device, electronic equipment and storage medium | |
| CN114419322B (en) | Image instance segmentation method and device, electronic equipment and storage medium | |
| CN111046467B (en) | House type parametric modeling method and related equipment | |
| CN111858987B (en) | Problem viewing method of CAD image, electronic equipment and related products | |
| CN114020977A (en) | Building information model interaction method and related device | |
| CN112801620A (en) | Engineering information processing method, device, equipment and storage medium | |
| CN113490954A (en) | Neural network, operation method, and program | |
| CN112907294B (en) | Parking space pricing method and related product | |
| CN113010946B (en) | Data analysis method, electronic equipment and related products |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20230417 Address after: A601, Zhongke Naneng Building, No. 06 Yuexing 6th Road, Gaoxin District Community, Yuehai Street, Nanshan District, Shenzhen City, Guangdong Province, 518063 Patentee after: Shenzhen Wanyi Digital Technology Co.,Ltd. Address before: 519000 room 105-24914, No.6 Baohua Road, Hengqin New District, Zhuhai City, Guangdong Province (centralized office area) Patentee before: WANYI TECHNOLOGY Co.,Ltd. |