CN117576942A - Intelligent underground garage linkage system and method based on intelligent entrance guard - Google Patents
Intelligent underground garage linkage system and method based on intelligent entrance guard Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/146—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas where the parking area is a limited parking space, e.g. parking garage, restricted space
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/149—Traffic control systems for road vehicles indicating individual free spaces in parking areas coupled to means for restricting the access to the parking space, e.g. authorization, access barriers, indicative lights
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- 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
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Abstract
The invention relates to the technical field of intelligent parking lots, in particular to an intelligent underground garage linkage system and method based on intelligent access control, wherein the intelligent underground garage linkage system comprises a positioning layer, an identification layer and a configuration layer; the real-time position information of the vehicle is collected through the positioning layer and stored in the collecting layer, the collecting layer synchronously obtains the current vehicle parking rate and predicts the current vehicle parking rate based on the internally stored real-time position information of the vehicle, and the identifying layer receives the vehicle parking rate and the vehicle parking rate obtained in the positioning layer.
Description
Technical Field
The invention relates to the technical field of intelligent parking lots, in particular to an intelligent underground garage linkage system and method based on intelligent access control.
Background
Underground garages are buildings used for parking motor vehicles of various sizes underground, and mainly consist of parking rooms, channels, ramps or mechanical lifters, entrances and exits, train sites and the like.
The invention patent with application number 202310650585.0 discloses an intelligent parking management method for linkage video positioning, which is characterized by comprising the following steps: s1, a license plate recognition device recognizes license plate numbers of vehicles parked in parking spaces, associates and binds the license plate numbers with the parking spaces in the parking spaces, generates binding information and pushes the binding information to an intelligent parking management system: s2, the intelligent parking management system acquires first channel information to be entered after a vehicle owner leaves the vehicle and binds with an ID of the vehicle owner according to the parking space number carried in the binding information and based on a binding relation between the parking space number and a corresponding channel which is established in advance; s3, when a vehicle needs to be fetched, after a vehicle owner reaches any one entrance to the underground garage, sending a vehicle searching instruction to the intelligent parking management system through the intelligent terminal; s4, the intelligent parking management system positions the entrance where the vehicle owner is currently located according to the vehicle searching instruction so as to obtain second channel information of each second channel of possible paths after the entrance enters the underground garage and bind the second channel information with the vehicle owner ID; and S5, the intelligent parking management system plans and updates and corrects an optimal path of the vehicle owner to a target parking space in real time according to the second channel information and the first channel information which are acquired in the step S4 and the step S2 and are related to the ID of the vehicle owner in parallel with video positioning, and pushes the planned optimal path to the vehicle owner in real time through the vehicle searching APP.
The application aims at solving the problems: the following drawbacks exist in the manner of searching for a parking position of a vehicle by means of memory and according to the thought of returning from the original road: the vehicle-searching system has the advantages that strong memory is needed, people with poor memory are not friendly, vehicle searching is inconvenient, all walking paths are completely memorized, the vehicle searching is completely planned manually, a large amount of time is needed, and the vehicle searching is not intelligent enough. "problem.
However, for the current intelligent underground garage, manual management is often replaced by intelligent equipment, so that autonomous parking of a driving user is realized, however, the intelligent performance of the intelligent underground garage is often concentrated on an entrance gate of the garage, the intelligent guiding effect is poor in a parking demand generation stage and a vehicle parking process stage of the driving user, and the intelligent experience degree brought to the driving user is low.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an intelligent underground garage linkage system and method based on intelligent access control, which solve the technical problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
in a first aspect, an intelligent underground garage linkage system based on intelligent access control comprises a positioning layer, an identification layer and a configuration layer;
The method comprises the steps that real-time position information of vehicles is collected through a positioning layer and stored in the collecting layer, the collecting layer synchronously obtains the current vehicle parking rate and predicts the current vehicle parking rate based on the internally stored real-time position information of the vehicles, the identifying layer receives the vehicle parking rate and the vehicle parking rate obtained in the positioning layer, underground garage gate collecting information and parking space occupation information are synchronously obtained, whether parking spaces are configured for the vehicles or not is determined based on the vehicle parking rate, the underground garage gate collecting information and the parking space occupation information, the configuration layer operates based on the decision result of the identifying layer, and parking spaces are configured for the vehicles in the operation state of the configuration layer;
the recognition layer comprises an interaction module, an analysis module and a decision module, wherein the interaction module is used for acquiring the vehicle parking rate, the underground garage barrier acquisition information and the parking space occupation information which are obtained in the positioning layer, executing the operation of feeding back the underground garage barrier acquisition information and the parking space occupation information to the real-time position information storage position of the vehicle in the positioning layer, the analysis module is used for receiving the data acquired by the interaction module, the application interaction module is used for acquiring the data to analyze the parking tendency of the vehicle driving user, the decision module is used for setting a decision threshold, receiving the parking tendency of the vehicle driving user analyzed in the analysis module, comparing the decision threshold with the parking tendency of the vehicle driving user, and deciding whether the operation of the positioning layer is triggered or not;
The vehicle driving user parking tendency analysis logic in the analysis module is expressed as:
wherein: delta is a parking tendency representation value of a vehicle driving user; g is the vehicle parking ratio; t is the accumulation of the parking time of the vehicle; gamma is a correction coefficient; g 0 Parking frequency for the vehicle; k is the vehicle parking rate;
wherein,T 0 the greater the vehicle driving user parking tendency representation value delta, the higher the vehicle parking tendency, and conversely, the lower the vehicle parking gas line.
Further, the positioning layer comprises a receiving module, a storage module and a prediction module, wherein the receiving module is used for receiving real-time position information of a vehicle, the storage module is used for storing the real-time position information of the vehicle received by the receiving module, the prediction module is used for traversing the real-time position information of the vehicle stored in the storage module, and the current parking rate and the parking rate of the vehicle are obtained based on the real-time position information of the vehicle;
the system is arranged at the position of the underground garage, the system is also implanted into a control panel installed on a vehicle of each system service user in a software program format, the system is synchronously started and closed in the control panel along with the vehicle, the real-time position information of the vehicle is fed back by setting a designated feedback period in the system starting state installed in the control panel, and the system arranged at the underground garage receives the real-time position information of the vehicle fed back by the system installed in the control panel by setting a designated size receiving area.
Further, the real-time position information of the vehicle stored in the storage module comprises vehicle position information and vehicle license plates, the vehicle position information stored in the storage module is stored in a differentiated mode based on the vehicle license plates, the storage module is operated in a stage of acquiring the road gate acquisition information and the parking space occupation information of the underground garage synchronously in the identification layer, and the road gate acquisition information and the parking space occupation information are further stored in a differentiated mode based on the vehicle license plates;
wherein, underground garage banister gathers information includes: vehicle license plate number, vehicle image, vehicle card time stamp and vehicle card time stamp that goes out, parking stall occupation information is parking stall occupation state promptly, the parking stall occupation state includes: occupied, unoccupied, and to be occupied.
Furthermore, when the prediction module operates to obtain the current parking rate and the parking ratio of the vehicle based on the real-time position information of the vehicle, the barrier gate collection information and the parking space occupation information stored in the storage module are also applied, and the parking rate of the vehicle is that: the ratio of the number of times of vehicle parking to the number of times of vehicle driving into a receiving area with a designated size set in a system deployed in an underground garage, and the logic for calculating the vehicle parking ratio is expressed as follows:
Wherein: g is the vehicle parking ratio; k is the vehicle parking rate; m is the size of a receiving area set in a system deployed in the underground garage; n is the number of times that the vehicle is driven into a receiving area set in a system deployed in the underground garage; n is a time threshold after a vehicle is driven into a receiving area set in a system deployed in an underground garage; l (L) I The linear distance between the vehicle and the underground garage at the moment I after the ith vehicle enters a receiving area set in a system deployed in the underground garage; tI is the time length from the moment I to the moment of entering after the ith vehicle enters a receiving area set in a system deployed in the underground garage; c is the number of times that the vehicle in n drives into the underground garage; gamma is a correction coefficient;
wherein g is more than or equal to 1, the vehicle parking ratio g is expressed in the form of a fraction, the numerator of the vehicle parking ratio g represents the stay time of the vehicle after being input into a receiving area set in a system of the underground garage, the larger the denominator of the vehicle parking ratio g is, the larger the vehicle parking probability is, the value of the correction coefficient gamma is obeyed, the smaller the value of gamma is if the area of the vehicle license plate is close to the area of the underground garage, and the larger the value of gamma is if the area of the vehicle license plate is opposite to the area of the underground garage; the correction factor γ, the vehicle parking rate k and the vehicle parking rate g are stored in a storage module.
And in the operation stage of the decision module, the vehicle driving user parking tendency value delta analyzed in the analysis module is received, the application setting judgment threshold value is compared with the vehicle driving user parking tendency value delta, the vehicle driving user parking tendency value delta is in the judgment threshold value, the decision module is triggered to operate, otherwise, the decision module is not triggered to operate, when the decision module operates, the decision module is synchronized with the storage module in the positioning layer to acquire the vehicle parking rate, the underground garage gate acquisition information and the parking space occupation information of the corresponding vehicle license plate, packages the vehicle parking rate, the underground garage gate acquisition information and the parking space occupation information, and feeds back to the configuration layer selection module.
Further, the configuration layer comprises a selection module, a planning module and a refreshing module, wherein the selection module is used for receiving the packed vehicle parking rate, the underground garage barrier acquisition information and the parking space occupation information which are obtained by the operation of the decision module, selecting the parking space in the underground garage based on the vehicle parking rate, the underground garage barrier acquisition information and the parking space occupation information, the planning module is used for receiving the parking space selected by the selection module, planning the parking path in the underground garage based on the selected parking space, and the refreshing module is used for refreshing the parking space occupation information in the underground garage;
The system comprises a planning module, a control panel, a parking system and a parking system, wherein an electronic map of an underground garage is stored in the planning module, the planning module is used for synchronously acquiring current vehicle position information in an operation stage, identifying an underground garage gate entrance closest to the current vehicle position based on the acquired current vehicle position information, further applying a parking space received by the planning module and the electronic map of the underground garage stored in the interior after the underground garage gate entrance is acquired, planning the shortest path between the acquired underground garage gate entrance and the received parking space, and synchronously feeding back the shortest parking path planned in the planning module to the system implanted in the control panel installed on the vehicle.
Still further, parking space selection logic in the selection module is represented as:
wherein: lambda is the priority of parking space selection; p is a set of parking times of the system service vehicle; delta w When the w-th system provides service for the vehicle, the latest calculated parking tendency representation value of the driving user of the vehicle; gamma ray w When the w-th system provides service for the vehicle, the latest applied correction coefficient; t (T) w When the w-th system is cut off to provide service for the vehicle, the parking time of the vehicle is accumulated; c (C) w When the w-th system provides service for the vehicle, the times of the vehicle driving into the underground garage are accumulated; k (k) w When the w-th system provides service for the vehicle, the vehicle parking rate is calculated latest; θ w When the w-th system provides service for the vehicle, the number of parking spaces in the unoccupied state in the underground garage; χ is a change trend of the parking tendency of the vehicle driving user;average timeliness of parking is carried out for each time the vehicle enters a receiving area set in a system deployed in the underground garage;
the method comprises the steps of selecting a parking space which is closer to a garage gate entrance and is in an unoccupied state, selecting a parking space which is farther from the garage gate entrance and is in an unoccupied state, and switching the parking space selected based on the parking space selection priority lambda to a state to be occupied after the parking space selection priority lambda is obtained.
Furthermore, the refreshing module is used for acquiring the underground garage barrier gate acquisition information synchronously in the positioning layer in the operation stage, and refreshing the parking space occupation state based on the underground garage barrier gate acquisition information;
the refreshing module is used for continuously running based on the running period to refresh the occupied state of the parking space, judging timeliness is set in the refreshing module, the parking space in the state to be occupied is not parked outside the timeliness, the refreshing module is used for switching the parking space with the vehicle out of the card time stamp corresponding to the application of the vehicle and the parking space in the state to be occupied outside the timeliness to be unoccupied.
Furthermore, the interactive module is electrically connected with a prediction module through a medium, the prediction module is electrically connected with a storage module and a receiving module through the medium, the interactive module is electrically connected with an analysis module and a decision module through the medium, the decision module is electrically connected with a selection module through the medium, and the selection module is electrically connected with a planning module and a refreshing module through the medium.
In a second aspect, an intelligent underground garage linkage method based on intelligent access control includes the following steps:
step 1: collecting real-time position information of a vehicle, and constructing a database to store the collected real-time position information of the vehicle;
step 11: setting the real-time position information storage logic of the vehicle;
step 2: acquiring real-time position information of a vehicle stored in a database, and applying the real-time position information of the vehicle to obtain the parking rate of the vehicle and the parking rate of the vehicle;
step 21: a setting stage of the vehicle parking rate and the vehicle parking rate calculating logic;
step 3: acquiring barrier gate acquisition information and parking space occupation information of an underground garage, acquiring a vehicle parking rate and a vehicle parking ratio, and analyzing a vehicle parking tendency according to the barrier gate acquisition information, the parking space occupation information, the vehicle parking rate and the vehicle parking ratio;
Step 31: a setting stage of vehicle parking trend analysis logic;
step 32: the information collected by the barrier gate and the information occupied by the parking space are fed back to the database, and the information is stored in the database;
step 4: deciding whether to allocate parking spaces for the vehicle based on the vehicle parking tendency;
step 5: the decision result of the step 4 is that the parking space selection logic is set, and the parking path is configured;
step 51: an interaction stage of the selected parking space and the parking path;
step 6: and step 4, if the decision result is negative, executing step jump, and executing step 3.
Compared with the prior art, the technical proposal provided by the invention has the following advantages that
The beneficial effects are that:
1. the intelligent underground garage linkage system based on the intelligent entrance guard provided by the invention can bring intelligent and quick parking experience to driving users needing parking through application and combined analysis of information collected by the barrier gate in the underground garage, the occupied state of the parking space and real-time position information of the vehicle in the operation process, and effectively improves the linkage effect of the barrier gate, the parking space and the parking requirement of the users in the intelligent underground garage.
2. The system provided by the invention provides interaction between real-time position information of the vehicle and information of the road gate collection and parking space occupation state information in the garage through a dual-system interaction mode, so that the system provides a pre-condition for solving the vehicle parking rate and the vehicle parking ratio through data interaction, ensures that the solved vehicle parking rate and the solved vehicle parking ratio can be further applied to vehicle driving user parking tendency analysis logic, and further provides necessary data support for the operation of the parking space selection logic based on the vehicle driving user parking tendency analysis logic, and ensures that the system is stable in operation.
3. The invention provides an intelligent underground garage linkage method based on intelligent access control, which can further provide logic support for system operation in the step execution process of the method, and further provide logic jump of the system application stage in the technical scheme in the step execution process of the method, so that the system operation is ensured to have continuity, and intelligent parking service can be continuously provided for a user system with a parking requirement.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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 evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic diagram of an intelligent underground garage linkage system based on intelligent access control;
FIG. 2 is a flow chart of a smart underground garage linkage method based on smart access control;
FIG. 3 is an exemplary diagram of a system application scenario in the present invention;
FIG. 4 is a schematic diagram of the system operation logic according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1:
an intelligent underground garage linkage system based on intelligent access control in this embodiment, as shown in fig. 1, includes a positioning layer, an identification layer and a configuration layer;
the method comprises the steps that real-time position information of vehicles is collected through a positioning layer and stored in the collecting layer, the collecting layer synchronously obtains the current vehicle parking rate and predicts the current vehicle parking rate based on the internally stored real-time position information of the vehicles, the identifying layer receives the vehicle parking rate and the vehicle parking rate obtained in the positioning layer, underground garage gate collecting information and parking space occupation information are synchronously obtained, whether parking spaces are configured for the vehicles or not is determined based on the vehicle parking rate, the underground garage gate collecting information and the parking space occupation information, the configuration layer operates based on the decision result of the identifying layer, and parking spaces are configured for the vehicles in the operation state of the configuration layer;
The recognition layer comprises an interaction module, an analysis module and a decision module, wherein the interaction module is used for acquiring the vehicle parking rate, the underground garage barrier acquisition information and the parking space occupation information which are obtained in the positioning layer, executing the operation of feeding back the underground garage barrier acquisition information and the parking space occupation information to the real-time position information storage position of the vehicle in the positioning layer, the analysis module is used for receiving the data acquired by the interaction module, the application interaction module is used for acquiring the data to analyze the parking tendency of the vehicle driving user, the decision module is used for setting a decision threshold, receiving the parking tendency of the vehicle driving user analyzed in the analysis module, comparing the decision threshold with the parking tendency of the vehicle driving user, and deciding whether the operation of the positioning layer is triggered or not;
the vehicle driving user parking tendency analysis logic in the analysis module is expressed as:
wherein: delta is a parking tendency representation value of a vehicle driving user; g is the vehicle parking ratio; t is the accumulation of the parking time of the vehicle; gamma is a correction coefficient; g 0 Parking frequency for the vehicle; k is the vehicle parking rate;
wherein,T 0 accumulating the time length of each time the vehicle enters the service area of the system, wherein the larger the vehicle driving user parking tendency representation value delta is, the higher the vehicle parking tendency is, and otherwise, the lower the vehicle parking gas pipeline is;
The positioning layer comprises a receiving module, a storage module and a prediction module, wherein the receiving module is used for receiving real-time position information of a vehicle, the storage module is used for storing the real-time position information of the vehicle received by the receiving module, and the prediction module is used for traversing the real-time position information of the vehicle stored in the storage module and obtaining the current parking rate and the parking ratio of the vehicle based on the real-time position information of the vehicle;
the system is arranged in the underground garage, is also implanted in a control panel installed on a vehicle of each system service user in a software program format, is synchronously started and closed along with the vehicle in the control panel, feeds back real-time position information of the vehicle by setting a specified feedback period in a system starting state installed in the control panel, and receives the real-time position information of the vehicle fed back by the system installed in the control panel by setting a receiving area with a specified size;
the configuration layer comprises a selection module, a planning module and a refreshing module, wherein the selection module is used for receiving the packed vehicle parking rate, the underground garage barrier acquisition information and the parking space occupation information which are obtained by the operation of the decision module, selecting the parking space in the underground garage based on the vehicle parking rate, the packed vehicle parking rate, the underground garage barrier acquisition information and the parking space occupation information, the planning module is used for receiving the parking space selected by the selection module, planning the parking path in the underground garage based on the selected parking space, and the refreshing module is used for refreshing the parking space occupation information in the underground garage;
The system comprises a planning module, a control panel, a parking system and a control panel, wherein the electronic map of an underground garage is stored in the planning module, the planning module is used for synchronously acquiring current vehicle position information, identifying an underground garage gate entrance closest to the current vehicle position based on the acquired current vehicle position information, further applying a parking space received by the planning module and the electronic map of the underground garage stored in the interior after the underground garage gate entrance is acquired, planning the shortest path between the acquired underground garage gate entrance and the received parking space, and synchronously feeding back the shortest parking path planned in the planning module to the system implanted in the control panel installed on the vehicle;
the parking space selection logic in the selection module is expressed as:
wherein: lambda is the priority of parking space selection; p is the system serviceA set of vehicle parking times; delta w When the w-th system provides service for the vehicle, the latest calculated parking tendency representation value of the driving user of the vehicle; gamma ray w When the w-th system provides service for the vehicle, the latest applied correction coefficient; t (T) w When the w-th system is cut off to provide service for the vehicle, the parking time of the vehicle is accumulated; c (C) w When the w-th system provides service for the vehicle, the times of the vehicle driving into the underground garage are accumulated; k (k) w When the w-th system provides service for the vehicle, the vehicle parking rate is calculated latest; θ w When the w-th system provides service for the vehicle, the number of parking spaces in the unoccupied state in the underground garage; χ is a change trend of the parking tendency of the vehicle driving user;average timeliness of parking is carried out for each time the vehicle enters a receiving area set in a system deployed in the underground garage;
the method comprises the steps that when the latest calculated parking tendency values delta of three groups of vehicle driving users continuously decrease, χ=0, otherwise, χ=1, the larger the parking space selection priority lambda value is, the nearer the parking space is to the garage gate entrance and is in an unoccupied state, otherwise, the farther the parking space is to the garage gate entrance and is in an unoccupied state is selected, and after the calculation of the parking space selection priority lambda is carried out, the parking space selected based on the parking space selection priority lambda is switched to a state to be occupied;
the interactive module is electrically connected with a prediction module through a medium, the prediction module is electrically connected with a storage module and a receiving module through the medium, the interactive module is electrically connected with an analysis module and a decision module through the medium, the decision module is electrically connected with a selection module through the medium, and the selection module is electrically connected with a planning module and a refreshing module through the medium.
In the embodiment, a receiving module operates to receive real-time position information of a vehicle, a storage module synchronously stores the real-time position information of the vehicle received by the receiving module, a prediction module operates to traverse the real-time position information of the vehicle stored in the storage module in a rear position, a current parking rate and a parking rate of the vehicle are obtained based on the real-time position information of the vehicle, an interaction module synchronously obtains the obtained vehicle parking rate, the vehicle parking rate, underground garage gate acquisition information and parking space occupation information in a positioning layer, an operation that the underground garage gate acquisition information and the parking space occupation information are fed back to the real-time position information storage position of the vehicle in the positioning layer is executed, an analysis module receives data obtained by the interaction module in a real-time manner, the data is used for analyzing the parking tendency of a vehicle driving user, a decision module is further set to judge a threshold value, whether the parking tendency of the vehicle driving user analyzed in the analysis module is triggered to operate the positioning layer or not is judged based on the comparison of the judgment threshold value with the parking tendency of the vehicle driving user, and then the selection module receives the obtained packed vehicle parking rate, the underground garage gate acquisition information and the parking space occupation information are selected based on the parking rate, the underground garage gate information and the parking space occupation information are selected by the selection module, and the parking space occupation information are refreshed in a parking space occupation planning module is selected based on the parking space occupation information;
Through the vehicle driving user parking tendency analysis logic and the parking space selection logic, the specified user parking tendency analysis logic and the parking space selection logic are further provided, so that the function of stably providing the parking space of the system service user when the system service user has a parking requirement is realized;
referring to fig. 3, the application scenario of the system is further illustrated by fig. 3, so that the underground garage can be used as a center to develop a large-area intelligent parking service for vehicles; referring to fig. 4, the operating logic of the present system is further illustrated by fig. 4.
Example 2:
on the aspect of implementation, based on embodiment 1, this embodiment further specifically describes, with reference to fig. 1, an intelligent underground garage linkage system based on intelligent access control in embodiment 1:
the real-time position information of the vehicle stored in the storage module comprises vehicle position information and vehicle license plates, the vehicle position information stored in the storage module is stored in a distinguishing mode based on the vehicle license plates, the storage module is operated in a stage of acquiring the road gate acquisition information and the parking space occupation information of the underground garage synchronously in the identification layer, and the road gate acquisition information and the parking space occupation information are further stored in a distinguishing mode based on the vehicle license plates;
Wherein, underground garage banister gathers information includes: vehicle license plate number, vehicle image, vehicle card time stamp and vehicle card time stamp that goes out, parking stall occupation information is the parking stall occupation state, and the parking stall occupation state includes: occupied, unoccupied, and to be occupied.
Through the arrangement, the operation logic of the storage module is further limited, further limitation is brought to the data content attribute stored in the storage module, and stable operation of the system with the appointed data content is ensured.
As shown in fig. 1, when the prediction module operates to obtain the current parking rate and the parking ratio of the vehicle based on the real-time position information of the vehicle, the information of collected road gates and occupied parking spaces stored in the storage module is also applied, and the parking rate of the vehicle is that: the ratio of the number of times of vehicle parking to the number of times of vehicle driving into a receiving area of a designated size set in a system disposed in an underground garage is calculated by a logic expression:
wherein: g is the vehicle parking ratio; k is the vehicle parking rate; m is the size of a receiving area set in a system deployed in the underground garage; n is the number of times that the vehicle is driven into a receiving area set in a system deployed in the underground garage; n is a time threshold after a vehicle is driven into a receiving area set in a system deployed in an underground garage; l (L) I The linear distance between the vehicle and the underground garage at the moment I after the ith vehicle enters a receiving area set in a system deployed in the underground garage; tI is the time from the moment I to the moment of entrance after the ith vehicle enters a receiving area set in a system deployed in an underground garageLong; c is the number of times that the vehicle in n drives into the underground garage; gamma is a correction coefficient;
wherein g is more than or equal to 1, the vehicle parking ratio g is expressed in the form of a fraction, the numerator of the vehicle parking ratio g represents the stay time of the vehicle after being input into a receiving area set in a system of the underground garage, the larger the denominator of the vehicle parking ratio g is, the larger the vehicle parking probability is, the value of the correction coefficient gamma is obeyed, the smaller the value of gamma is if the area of the vehicle license plate is close to the area of the underground garage, and the larger the value of gamma is if the area of the vehicle license plate is opposite to the area of the underground garage; the correction factor γ, the vehicle parking rate k and the vehicle parking rate g are stored in a storage module.
Through the formula calculation, the vehicle parking ratio can be calculated by using a designated calculation logic, so that the operation of a subsequent module in the system provides necessary data support, and the system operation is ensured to stably output the parking tendency of a vehicle driving user.
As shown in fig. 1, in the operation stage of the decision module, the parking tendency representing value delta of the vehicle driving user analyzed in the analysis module is received, the application setting decision threshold is compared with the parking tendency representing value delta of the vehicle driving user, the parking tendency representing value delta of the vehicle driving user is in the decision threshold, the decision module is triggered to operate, otherwise, the decision module is not triggered to operate, when the decision module operates, the decision module is synchronized with the storage module in the positioning layer to acquire the vehicle parking rate, the underground garage gate acquisition information and the parking space occupation information of the corresponding vehicle license plate, packages the vehicle parking rate, the underground garage gate acquisition information and the parking space occupation information, and feeds back to the configuration layer selection module.
Through the arrangement, stable forwarding storage conditions are provided for various data obtained by operation in the system, the operation of the system is ensured, and the data required by sufficient operation are provided.
As shown in fig. 1, in the operation stage of the refreshing module, the underground garage barrier acquisition information is acquired in synchronization with the positioning layer, and the parking space occupation state is refreshed based on the underground garage barrier acquisition information;
the refreshing module is used for continuously running based on the running period to refresh the occupied state of the parking space, judging timeliness is set in the refreshing module, the parking space in the state to be occupied is not parked outside the timeliness, the refreshing module is used for switching the parking space with the vehicle out of the card time stamp corresponding to the application of the vehicle and the parking space in the state to be occupied outside the timeliness to be unoccupied.
Through the arrangement, more refined operation logic of the refreshing module is further provided, and continuous operation logic of the system is provided through operation of the refreshing module, so that the application state of the parking space in the underground garage recorded in the system can be ensured to be updated.
Example 3:
on the aspect of implementation, based on embodiment 1, this embodiment further specifically describes, with reference to fig. 2, an intelligent underground garage linkage system based on intelligent access control in embodiment 1:
an intelligent underground garage linkage method based on intelligent access control comprises the following steps:
step 1: collecting real-time position information of a vehicle, and constructing a database to store the collected real-time position information of the vehicle;
step 11: setting the real-time position information storage logic of the vehicle;
step 2: acquiring real-time position information of a vehicle stored in a database, and applying the real-time position information of the vehicle to obtain the parking rate of the vehicle and the parking rate of the vehicle;
step 21: a setting stage of the vehicle parking rate and the vehicle parking rate calculating logic;
step 3: acquiring barrier gate acquisition information and parking space occupation information of an underground garage, acquiring a vehicle parking rate and a vehicle parking ratio, and analyzing a vehicle parking tendency according to the barrier gate acquisition information, the parking space occupation information, the vehicle parking rate and the vehicle parking ratio;
Step 31: a setting stage of vehicle parking trend analysis logic;
step 32: the information collected by the barrier gate and the information occupied by the parking space are fed back to the database, and the information is stored in the database;
step 4: deciding whether to allocate parking spaces for the vehicle based on the vehicle parking tendency;
step 5: the decision result of the step 4 is that the parking space selection logic is set, and the parking path is configured;
step 51: an interaction stage of the selected parking space and the parking path;
step 6: and step 4, if the decision result is negative, executing step jump, and executing step 3.
In summary, in the running process of the system in the embodiment, intelligent and rapid parking experience is brought to a driving user with a parking requirement through application and combined analysis of information collected by the barrier gate in the underground garage, the occupied state of the parking space and real-time position information of the vehicle, and the linkage effect of the barrier gate, the parking space and the parking requirement of the user in the intelligent underground garage is effectively improved; the system provides interaction between real-time position information of the vehicle and information of road gate acquisition and parking space occupation state information in a garage through a dual-system interaction mode, so that through data interaction, pre-conditions are provided for solving the vehicle parking rate and the vehicle parking ratio, the solved vehicle parking rate and the vehicle parking ratio can be further applied to vehicle driving user parking tendency analysis logic, necessary data support is further provided for operation of parking space selection logic based on the vehicle driving user parking tendency analysis logic, and stable system operation is ensured; meanwhile, in the implementation process of the steps of the method, the system operation logic support can be further provided, and in the implementation process of the steps of the method, the system application stage jump logic in the technical scheme is further provided, so that the continuity of the system operation is ensured, and the intelligent parking service can be continuously provided for the user system with the parking requirement.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An intelligent underground garage linkage system based on intelligent access control is characterized by comprising a positioning layer, an identification layer and a configuration layer;
the method comprises the steps that real-time position information of vehicles is collected through a positioning layer and stored in the collecting layer, the collecting layer synchronously obtains the current vehicle parking rate and predicts the current vehicle parking rate based on the internally stored real-time position information of the vehicles, the identifying layer receives the vehicle parking rate and the vehicle parking rate obtained in the positioning layer, underground garage gate collecting information and parking space occupation information are synchronously obtained, whether parking spaces are configured for the vehicles or not is determined based on the vehicle parking rate, the underground garage gate collecting information and the parking space occupation information, the configuration layer operates based on the decision result of the identifying layer, and parking spaces are configured for the vehicles in the operation state of the configuration layer;
The recognition layer comprises an interaction module, an analysis module and a decision module, wherein the interaction module is used for acquiring the vehicle parking rate, the underground garage barrier acquisition information and the parking space occupation information which are obtained in the positioning layer, executing the operation of feeding back the underground garage barrier acquisition information and the parking space occupation information to the real-time position information storage position of the vehicle in the positioning layer, the analysis module is used for receiving the data acquired by the interaction module, the application interaction module is used for acquiring the data to analyze the parking tendency of the vehicle driving user, the decision module is used for setting a decision threshold, receiving the parking tendency of the vehicle driving user analyzed in the analysis module, comparing the decision threshold with the parking tendency of the vehicle driving user, and deciding whether the operation of the positioning layer is triggered or not;
the vehicle driving user parking tendency analysis logic in the analysis module is expressed as:
wherein: delta is a parking tendency representation value of a vehicle driving user; g is the vehicle parking ratio; t is when the vehicle is parkedLong accumulation; gamma is a correction coefficient; g 0 Parking frequency for the vehicle; k is the vehicle parking rate;
wherein,T 0 the greater the vehicle driving user parking tendency representation value delta, the higher the vehicle parking tendency, and conversely, the lower the vehicle parking gas line.
2. The intelligent underground garage linkage system based on the intelligent entrance guard, according to claim 1, wherein the positioning layer comprises a receiving module, a storage module and a prediction module, the receiving module is used for receiving real-time position information of a vehicle, the storage module is used for storing the real-time position information of the vehicle received by the receiving module, the prediction module is used for traversing the real-time position information of the vehicle stored in the storage module, and the current parking rate and the parking rate of the vehicle are obtained based on the real-time position information of the vehicle;
the system is arranged at the position of the underground garage, the system is also implanted into a control panel installed on a vehicle of each system service user in a software program format, the system is synchronously started and closed in the control panel along with the vehicle, the real-time position information of the vehicle is fed back by setting a designated feedback period in the system starting state installed in the control panel, and the system arranged at the underground garage receives the real-time position information of the vehicle fed back by the system installed in the control panel by setting a designated size receiving area.
3. The intelligent underground garage linkage system based on intelligent entrance guard according to claim 2, wherein the real-time position information of the vehicle stored in the storage module comprises vehicle position information and vehicle license plates, the vehicle position information stored in the storage module is stored in a differentiated mode based on the vehicle license plates, the storage module is operated in a stage of acquiring underground garage gate acquisition information and parking space occupation information synchronously in the identification layer, and the gate acquisition information and the parking space occupation information are further stored in a differentiated mode based on the vehicle license plates;
Wherein, underground garage banister gathers information includes: vehicle license plate number, vehicle image, vehicle card time stamp and vehicle card time stamp that goes out, parking stall occupation information is parking stall occupation state promptly, the parking stall occupation state includes: occupied, unoccupied, and to be occupied.
4. The intelligent underground garage linkage system based on intelligent entrance guard of claim 1, wherein when the prediction module operates to obtain the current parking rate and parking ratio of the vehicle based on the real-time position information of the vehicle, the information of collected information of the road gate and the information of occupied parking space stored in the storage module are further applied, and the parking rate of the vehicle is that: the ratio of the number of times of vehicle parking to the number of times of vehicle driving into a receiving area with a designated size set in a system deployed in an underground garage, and the logic for calculating the vehicle parking ratio is expressed as follows:
wherein: g is the vehicle parking ratio; k is the vehicle parking rate; m is the size of a receiving area set in a system deployed in the underground garage; n is the number of times that the vehicle is driven into a receiving area set in a system deployed in the underground garage; n is a time threshold after a vehicle is driven into a receiving area set in a system deployed in an underground garage; l (L) I The linear distance between the vehicle and the underground garage at the moment I after the ith vehicle enters a receiving area set in a system deployed in the underground garage; tI is the time length from the moment I to the moment of entering after the ith vehicle enters a receiving area set in a system deployed in the underground garage; c is the number of times that the vehicle in n drives into the underground garage; gamma is a correction coefficient;
Wherein g is more than or equal to 1, the vehicle parking ratio g is expressed in the form of a fraction, the numerator of the vehicle parking ratio g represents the stay time of the vehicle after being input into a receiving area set in a system of the underground garage, the larger the denominator of the vehicle parking ratio g is, the larger the vehicle parking probability is, the value of the correction coefficient gamma is obeyed, the smaller the value of gamma is if the area of the vehicle license plate is close to the area of the underground garage, and the larger the value of gamma is if the area of the vehicle license plate is opposite to the area of the underground garage; the correction factor γ, the vehicle parking rate k and the vehicle parking rate g are stored in a storage module.
5. The intelligent underground garage linkage system based on the intelligent entrance guard according to claim 1, wherein the decision module is operated, in the stage of operation, the vehicle driving user parking tendency value delta analyzed in the analysis module is received, the set decision threshold is applied to be compared with the vehicle driving user parking tendency value delta, the vehicle driving user parking tendency value delta is within the decision threshold, the decision module is triggered to operate, otherwise, the decision module is not triggered to operate, and when the decision module operates, the decision module is synchronized with the storage module in the positioning layer to acquire the vehicle parking rate, the underground garage gate acquisition information and the parking space occupation information of the corresponding vehicle license plate, packages the vehicle parking rate, the underground garage gate acquisition information and the parking space occupation information, and feeds back to the configuration layer selection module.
6. The intelligent underground garage linkage system based on the intelligent entrance guard, according to claim 1, wherein the configuration layer comprises a selection module, a planning module and a refreshing module, the selection module is used for receiving the packed vehicle parking rate, the underground garage gate acquisition information and the parking space occupation information which are obtained by the operation of the decision module, selecting the parking space in the underground garage based on the vehicle parking rate, the underground garage gate acquisition information and the parking space occupation information, the planning module is used for receiving the parking space selected by the selection module, planning the parking path in the underground garage based on the selected parking space, and the refreshing module is used for refreshing the parking space occupation information in the underground garage;
the system comprises a planning module, a control panel, a parking system and a parking system, wherein an electronic map of an underground garage is stored in the planning module, the planning module is used for synchronously acquiring current vehicle position information in an operation stage, identifying an underground garage gate entrance closest to the current vehicle position based on the acquired current vehicle position information, further applying a parking space received by the planning module and the electronic map of the underground garage stored in the interior after the underground garage gate entrance is acquired, planning the shortest path between the acquired underground garage gate entrance and the received parking space, and synchronously feeding back the shortest parking path planned in the planning module to the system implanted in the control panel installed on the vehicle.
7. The intelligent underground garage linkage system based on intelligent access control of claim 6, wherein the parking space selection logic in the selection module is expressed as:
wherein: lambda is the priority of parking space selection; p is a set of parking times of the system service vehicle; delta w When the w-th system provides service for the vehicle, the latest calculated parking tendency representation value of the driving user of the vehicle; gamma ray w When the w-th system provides service for the vehicle, the latest applied correction coefficient; t (T) w When the w-th system is cut off to provide service for the vehicle, the parking time of the vehicle is accumulated; c (C) w When the w-th system provides service for the vehicle, the times of the vehicle driving into the underground garage are accumulated; k (k) w When the w-th system provides service for the vehicle, the vehicle parking rate is calculated latest; θ w When the w-th system provides service for the vehicle, the number of parking spaces in the unoccupied state in the underground garage; χ is a change trend of the parking tendency of the vehicle driving user;average timeliness of parking is carried out for each time the vehicle enters a receiving area set in a system deployed in the underground garage;
the method comprises the steps of selecting a parking space which is closer to a garage gate entrance and is in an unoccupied state, selecting a parking space which is farther from the garage gate entrance and is in an unoccupied state, and switching the parking space selected based on the parking space selection priority lambda to a state to be occupied after the parking space selection priority lambda is obtained.
8. The intelligent underground garage linkage system based on intelligent entrance guard of claim 6, wherein the refreshing module operates in a stage of acquiring underground garage barrier acquisition information in synchronization with a positioning layer, and refreshing a parking space occupation state based on the underground garage barrier acquisition information;
the refreshing module is used for continuously running based on the running period to refresh the occupied state of the parking space, judging timeliness is set in the refreshing module, the parking space in the state to be occupied is not parked outside the timeliness, the refreshing module is used for switching the parking space with the vehicle out of the card time stamp corresponding to the application of the vehicle and the parking space in the state to be occupied outside the timeliness to be unoccupied.
9. The intelligent underground garage linkage system based on the intelligent entrance guard, according to claim 1, wherein the interaction module is electrically connected with the prediction module through a medium, the prediction module is electrically connected with the storage module and the receiving module through a medium, the interaction module is electrically connected with the analysis module and the decision module through a medium, the decision module is electrically connected with the selection module through a medium, and the selection module is electrically connected with the planning module and the refreshing module through a medium.
10. An intelligent underground garage linkage method based on intelligent access control, which is an implementation method of the intelligent underground garage linkage system based on intelligent access control as claimed in any one of claims 1-9, and is characterized by comprising the following steps:
step 1: collecting real-time position information of a vehicle, and constructing a database to store the collected real-time position information of the vehicle;
step 11: setting the real-time position information storage logic of the vehicle;
step 2: acquiring real-time position information of a vehicle stored in a database, and applying the real-time position information of the vehicle to obtain the parking rate of the vehicle and the parking rate of the vehicle;
step 21: a setting stage of the vehicle parking rate and the vehicle parking rate calculating logic;
step 3: acquiring barrier gate acquisition information and parking space occupation information of an underground garage, acquiring a vehicle parking rate and a vehicle parking ratio, and analyzing a vehicle parking tendency according to the barrier gate acquisition information, the parking space occupation information, the vehicle parking rate and the vehicle parking ratio;
step 31: a setting stage of vehicle parking trend analysis logic;
step 32: the information collected by the barrier gate and the information occupied by the parking space are fed back to the database, and the information is stored in the database;
step 4: deciding whether to allocate parking spaces for the vehicle based on the vehicle parking tendency;
Step 5: the decision result of the step 4 is that the parking space selection logic is set, and the parking path is configured;
step 51: an interaction stage of the selected parking space and the parking path;
step 6: and step 4, if the decision result is negative, executing step jump, and executing step 3.
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| CN116022126A (en) * | 2021-10-27 | 2023-04-28 | 威马智慧出行科技(上海)股份有限公司 | Autonomous learning parking method, electronic device and storage medium |
| CN116798269A (en) * | 2023-07-19 | 2023-09-22 | 中交城乡建设规划设计研究院有限公司 | Method for constructing real-time parking state model in underground space |
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| CN106251687A (en) * | 2016-08-22 | 2016-12-21 | 重庆交通大学 | A kind of garage intelligent parking management system |
| CN116022126A (en) * | 2021-10-27 | 2023-04-28 | 威马智慧出行科技(上海)股份有限公司 | Autonomous learning parking method, electronic device and storage medium |
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