CN115601992B - Accurate intelligent parking guidance system - Google Patents
Accurate intelligent parking guidance system Download PDFInfo
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- CN115601992B CN115601992B CN202211388863.1A CN202211388863A CN115601992B CN 115601992 B CN115601992 B CN 115601992B CN 202211388863 A CN202211388863 A CN 202211388863A CN 115601992 B CN115601992 B CN 115601992B
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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
- G08G1/141—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
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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
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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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- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
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Abstract
The invention discloses an accurate intelligent parking guidance system, which relates to the technical field of intelligent parking guidance and comprises a monitoring end, a management and control module, a processing module and a data analysis module; the method and the device analyze the parking time of all the vehicles in the parking lot in a certain area to obtain the core timing section table of each parking lot in the certain area, and obtain the parking space utilization rate of the parking lot based on the spare parking position data of the parking lot around the destination where the current vehicle is pre-arrived and the number of the vehicles in the occupied area when the parking lot is currently parked, so that the situation that the overall utilization rate of the parking lot in the destination area is unbalanced due to the fact that the parking lot far away from the destination area cannot be well utilized is avoided, and the situation that the parking lot is parked in a crowded state due to the fact that too few spare parking spaces exist in the parking lot after the vehicle reaches the selected area is avoided.
Description
Technical Field
The invention relates to the technical field of intelligent parking guidance, in particular to an accurate intelligent parking guidance system.
Background
With the continuous development of science and technology, the economic level of people is continuously improved, the quantity of vehicles kept is more and more, and the result of the gradual increase of vehicles is that the supply and demand of parking spaces are not sufficient.
In the prior art, the optimal parking lot is judged mainly based on the distance from the current vehicle to the destination, the number of vacant vehicles in all parking lots near the destination and the optimal parking lot recommendation of the current vehicle, but if the destinations of a plurality of vehicles are the same from large environment, the optimal recommendation is given to a driver according to the parking lots far away from the destination, so that the parking lots far away from the destination cannot be repeatedly and effectively utilized;
in order to solve the above problems, the present invention proposes a solution.
Disclosure of Invention
The invention aims to provide an accurate intelligent parking guidance system, which solves the problem that in the prior art, the optimal parking lot recommendation based on the current vehicle is provided, but if the destinations of a plurality of vehicles are the same, the optimal recommendation is provided for a driver according to the parking lots far away from the destinations, so that the parking lots far away from the destinations cannot be repeatedly and effectively utilized.
The purpose of the invention can be realized by the following technical scheme:
an accurate intelligent parking guidance system comprising:
the monitoring end is used for monitoring a parking lot in a certain area and generating parking data of the parking lot in the area, wherein the parking data of the parking lot comprises vacant parking space data in the parking lot and parking time length data of all vehicles in the parking lot;
the data analysis module is used for analyzing the parking data of all the parking lots in a certain area to generate an approved time period table of all the parking lots in the area;
the management and control module is used for storing the approved time period tables of all parking lots in a certain area;
a processing module for guiding the current pre-parking vehicle to the optimal parking lot based on the destination of the pre-parking vehicle; the processing module comprises an acquisition unit, a selection unit and a guide unit;
the system comprises a processing module, an acquisition unit, a selection unit and a display unit, wherein the processing module generates a destination acquisition instruction after receiving a pre-parking instruction of a vehicle and transmits the destination acquisition instruction to the acquisition unit;
the selection unit receives the final destination data of the vehicle transmitted by the acquisition unit and screens the optimal parking lot of the current pre-parked vehicle according to certain screening steps, wherein the specific screening steps are as follows:
s11: acquiring all parking lots Y1, Y2, and Yy, Y >1 within a distance of P kilometers from a destination according to the position data of the destination;
s12: taking a parking lot Y1 as an example, acquiring the number of the current vacant parking spaces in the parking lot Y1, and marking as T1;
comparing T1 with T; if T1 is larger than or equal to T, acquiring all occupied intervals U1, U2, U, uu, U larger than or equal to 1 and smaller than or equal to 24 stored in a core timing section table in the parking lot Y1 and corresponding vehicle core fixed values V1, V2, U, vu, wherein T is a preset spare parking space threshold value;
the method comprises the steps of obtaining the number marks of vehicles, namely W1, W2, the right angle, wu of parking time lengths of the vehicles in a parking lot to be selected at the current moment in occupied sections U1, U2, the right angle and the Uu;
s13: using a formula
Calculating and obtaining the parking space utilization rate of the parking lot Y1 at the current moment;
s14: according to the steps S11 to S13, parking space utilization rates X1, X2, the parking space utilization rates X2 and Y of all parking lots Y1, Y2, the parking space utilization rates Y2, yy at the current moment of the area are sequentially obtained;
s15: acquiring the minimum value marks of the parking space utilization rates X1, X2, and Xy of all parking lots Y1, Y2, and Yy in the area at the current moment by using a max () method, wherein the minimum value marks are Z1;
the selected unit acquires the parking lot corresponding to the Z1 and generates selected parking lot data according to the parking lot, and the selected unit transmits the selected parking lot data to the guiding unit;
s16: if T1< T, not taking the parking lot Y1 as a selected target;
and the guiding unit guides the current vehicle to the selected parking lot according to the selected parking lot data after receiving the selected parking lot data transmitted by the selecting unit.
Furthermore, the monitoring end comprises a plurality of monitoring modules, one monitoring module correspondingly monitors a parking lot in the area, the monitoring module comprises a first acquisition unit and a second acquisition unit,
the first acquisition unit is used for acquiring the parking time of the vehicles in the parking lot and generating parking time data of all the vehicles; the parking time of the vehicle is recorded by a 24-hour method, for example, the parking time of the vehicle is 12 hours and 36 minutes;
the second acquisition unit is used for acquiring the number of the vacant parking spaces in the parking lot and generating the vacant parking space data of the parking lot.
Further, the analysis step of the data analysis module for analyzing and generating the core timing period tables of all parking lots in a certain area is as follows:
s21: firstly, selecting an area as an area to be approved, and selecting a parking lot in the area to be approved as a parking lot to be approved;
s22: dividing one approval period into a pieces of approval segments with equal length, and marking the a pieces of approval segments in the one approval period as A1, A2,. And Aa, a >1;
s23: taking the verification section A1 as an example, obtaining parking time lengths B1, B2,. And Bb of all vehicles of a parking lot to be verified in a verification period verification section A1, wherein B is more than or equal to 1; the one verification period is 30 days, and the one verification section is 24 hours;
s24: dividing pre-screening time periods into 24 pre-screening time period intervals with equal time duration in one day, wherein the initial pre-screening time period is from zero to one point, and all the pre-screening time periods Cc are obtained by analogy in sequence, and c =1, 2, · and 24;
s25: obtaining the total number D1, D2,. And Dt of vehicles in a pre-screening time period C1 of parking time lengths of all vehicles in a parking lot to be checked in t checking period checking sections A1, wherein the t checking periods take the current checking period as a starting point and backtrack t checking periods from the past;
s26: using formulas
E is more than or equal to 1 and less than or equal to t, calculating and obtaining the total number D1, D2,. And Dt discrete values E of the parking time of all vehicles in the parking lot to be checked in the t checking period checking sections A1 in the pre-screening time period C1, and enabling E and E1 to enterComparing the line sizes, if E is larger than or equal to E1, deleting the corresponding De values in sequence from large to small according to the De-D, calculating the discrete value E of the rest De values, and comparing the E with the E1 again until the E is larger than or equal to E1<E1, wherein the E1 is a preset discrete value threshold; d is the average value of the total number D1, D2, the integral right, and the integral Dt of the parking time of all vehicles in the parking lot to be checked, which are calculated by taking the discrete values into account in the t checking period checking sections A1, in the pre-screening time period C1;
re-calibrating the total number D1, D2, the integral right, and the average value D of the Dt in the pre-screening period C1 of the parking time of all vehicles in the parking lot to be checked, which are calculated by taking the discrete values in the t checking period checking sections A1, as screening checking values, and marking the screening checking values as F1;
s27: calibrating an initial parking time interval P1 of the parking lot to be verified in the t verification period verification sections A1 according to a certain calibration rule;
s28: according to S22 to S27, initial parking time intervals with t certification cycle certification sections of A1, A2, a.
S29: according to S25 and S26, calculating and obtaining screening and checking values corresponding to the parking time interval with the most repetition times in the initial parking time intervals H1, H2, the right, ha of t checking period checking sections A1, A2, the right, aa of the parking lot to be checked, calculating the average value of the screening and checking values, and re-calibrating the screening and checking values to be vehicle checking values, namely J1;
re-marking the parking duration interval with the most repetition times in the initial parking duration intervals H1, H2, the approval period approval sections A1, A2, aa and Ha of the parking lot to be approved with the t approval period approval sections A1, A2, the approval period, aa as an initial occupied interval, and marking as R1;
s210: according to S23 to S29, second parking time interval I1, I2, ia and Ia of t verification periods and a verification sections of the parking lot to be verified are obtained;
s211: a parking time interval with the most repetition times and not partially overlapped with the parking time represented by the occupied interval R1 in the second parking time intervals H1, H2, the stop period verification sections A1, A2, the stop period verification sections A2, A1 and Ha is marked as a second occupied interval R2;
according to S29, calculating and obtaining a vehicle approval value J2 corresponding to a parking duration interval which has the most repetition times in second parking duration intervals H1, H2, the right, ha with t approval period approval sections A1, A2, the right, aa to be approved and does not partially coincide with the parking duration represented by the occupation interval R1;
s212, according to S23 to S211, calculating and obtaining occupied intervals R1, R2, R, rr of a verification sections of t verification periods a of the parking lot to be verified, wherein R is larger than or equal to 1 and is smaller than or equal to 24, and corresponding vehicle verification values J1, J2, R, jr;
the data analysis module generates a verification time period table of the parking lot to be verified according to the occupied intervals R1, R2, the.
S213: and according to the steps S21 to S212, all parking lots in the area to be checked are sequentially selected to generate a checking time period table of all parking lots in the area to be checked for the parking lots to be checked.
Further, in S27, the specific calibration rule of the initial parking time interval P1 of the parking lot to be verified in the t verification period verification sections A1 is as follows:
s271: comparing the size of the F1 with that of the E2, wherein the E2 is a preset threshold:
s272: creating an empty first filter list Q1, i.e., Q1= [ ];
s273: if F1> E2, add the pre-screening period C1 into Q1, i.e., Q1= [ C1];
the pre-screening time interval C1 is designated as a parking time interval P1 of the parking lot to be checked and expressed in an interval form, that is, the parking time interval of the parking lot to be checked is [00:00, 01:00];
at the moment, the parking time interval P1 represents that the parking time of the vehicle in the parking lot to be checked is within 1 hour;
s274: otherwise, adding the pre-screening time periods C1 and C2 into Q1, wherein the Q1 is [ C1, C2];
according to the steps from S25 to S26, the parking time lengths of all vehicles in the parking lot to be checked in the t checking period checking sections A1 are obtained and meet the total number G1, G2,. And.Gt of the vehicles in the pre-screening time period stored in the first screening list Q1, the screening checking value F2 is obtained through calculation, and the size of the F2 is compared with that of the E2:
if F2 is greater than E2, calibrating the pre-screening time interval C1 and the pre-screening time interval C2 into a parking time interval P1 of the parking lot to be checked, and representing the parking time interval P1 in an interval form, namely, the first parking time interval of the parking lot to be checked is [00:00, 02:00], wherein the parking time interval P1 represents that the parking time of the vehicle in the parking lot to be checked is within 2 hours;
if the F2 is not more than E2, adding the pre-screening time periods C3, C4 and so on, cc into the first screening list Q1 one by one according to the sequence of the C3, the C4 and so on, acquiring the parking time lengths of all the vehicles in the parking lot to be checked in the t checking period checking sections A1, meeting the total number of the vehicles in the pre-screening time periods stored in the first screening list Q1, calculating the F2, comparing the size of the F2 with that of the E2 until the F2 is larger than that of the E2, and generating an initial parking time interval P1 of the parking lot to be checked based on the first pre-screening time period and the last pre-screening time period in the current first screening list Q1.
The invention has the beneficial effects that:
the method and the device analyze the parking time of all the vehicles in the parking lot in a certain area to obtain the core timing section table of each parking lot in the certain area, and obtain the parking space utilization rate of the parking lot based on the spare parking position data of the parking lot around the destination where the current vehicle is pre-arrived and the number of the vehicles in the occupied area when the parking lot is currently parked, so that the situation that the overall utilization rate of the parking lot in the destination area is unbalanced due to the fact that the parking lot far away from the destination area cannot be well utilized is avoided, and the situation that the parking lot is parked in a crowded state due to the fact that too few spare parking spaces exist in the parking lot after the vehicle reaches the selected area is avoided.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the 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.
As shown in fig. 1, an accurate intelligent parking guidance system includes a monitoring end, a management and control module, a processing module and a data analysis module;
the monitoring end is used for monitoring parking data of parking lots in a certain area, the monitoring end comprises a plurality of monitoring modules, one monitoring module correspondingly monitors one parking lot in the area, the monitoring module comprises a first acquisition unit and a second acquisition unit,
the first acquisition unit is used for acquiring the parking time of the vehicles in the parking lot and generating parking time data of all the vehicles; in the present embodiment, the parking time of the vehicle is recorded by a 24-hour method, for example, the parking time of the vehicle is 12 hours and 36 minutes;
the second acquisition unit is used for acquiring the number of the vacant parking spaces in the parking lot and generating the vacant parking space data of the parking lot;
the monitoring module generates parking data of the parking lot according to the vacant parking space data in the parking lot and the parking duration of all vehicles in the parking lot and transmits the parking data;
the management and control module is used for storing the approved time period tables of all parking lots in a certain area;
the processing module is used for acquiring the information of the user, and comprises an acquisition unit, a selection unit and a guide unit;
the system comprises a processing module, an acquisition unit, a selection unit and a display unit, wherein the processing module generates a destination acquisition instruction after receiving a pre-parking instruction of a vehicle and transmits the destination acquisition instruction to the acquisition unit;
the selection unit receives the final destination data of the vehicle transmitted by the acquisition unit and screens the optimal parking lot of the current pre-parked vehicle according to certain screening steps, wherein the specific screening steps are as follows:
s11: acquiring all parking lots Y1, Y2, right, yy and Y >1 within P kilometers away from a destination according to the position data of the destination;
s12: taking a parking lot Y1 as an example, acquiring the number of the current vacant parking spaces in the parking lot Y1, and marking as T1;
comparing T1 with T; if T1 is larger than or equal to T, acquiring all occupied intervals U1, U2, U-9 and Uu stored in a check timing section table in the parking lot Y1, and corresponding vehicle check fixed values V1, V2, U-24 and Vu, wherein the U is larger than or equal to 1 and smaller than or equal to 24, and the T is a preset vacant parking space threshold value;
the method comprises the steps of obtaining vehicle number marks W1, W2, the.
S13: using formulas
Calculating and obtaining a parking space utilization rate X1 of the parking lot Y1 at the current moment;
s14: according to the steps S11 to S13, parking space utilization rates X1, X2, the parking space utilization rates X2 and Y of all parking lots Y1, Y2, the parking space utilization rates Y2, yy at the current moment of the area are sequentially obtained;
s15: acquiring the minimum value of the parking space utilization rates X1, X2, the right-to-wrong, and Xy of all parking lots Y1, Y2, the right-to-wrong, and Yy in the region at the current moment by using a max () method, wherein the minimum value is marked as Z1;
the selected unit acquires the parking lot corresponding to the Z1 and generates selected parking lot data according to the parking lot data, and the selected unit transmits the selected parking lot data to the guiding unit;
s16: if T1< T, the parking lot Y1 is not taken as a selected target;
the guiding unit guides the current vehicle to the selected parking lot according to the selected parking lot data after receiving the selected parking lot data transmitted by the selected unit;
the data analysis module is used for analyzing the parking data of all parking lots in a certain area, and the specific analysis steps are as follows:
s21: firstly, selecting an area as an area to be approved, and selecting a parking lot in the area to be approved as a parking lot to be approved;
s22: dividing one approval period into a pieces of approval segments with equal length, and marking the a pieces of approval segments in the one approval period as A1, A2,. And Aa, a >1;
s23: taking the verification section A1 as an example, obtaining parking time lengths B1, B2,. And Bb of all vehicles of a parking lot to be verified in a verification period verification section A1, wherein B is more than or equal to 1; in this embodiment, the one verification period is 30 days, and the one verification period is 24 hours;
s24: performing pre-screening time interval division, namely dividing one day into 24 pre-screening time intervals with equal time length, wherein the initial pre-screening time interval is from zero to one point, and repeating the steps to obtain all pre-screening time intervals Cc, wherein c =1, 2, 3, 24;
s25: obtaining total numbers D1, D2,. And Dt of parking durations of all vehicles in a parking lot to be checked in a pre-screening time period C1 in t checking period checking sections A1, where in this embodiment, the t checking periods are backtracking t checking periods from a current checking period as a starting point to the past, in this embodiment;
s26: using formulas
Calculating to obtain the total number D1, D2, the integral right and the discrete value E of the Dt in the pre-screening time period C1 of the parking time of all the vehicles in the parking lot to be checked in the t checking period checking sections A1 when the E is more than or equal to 1 and less than or equal to t, comparing the E with the E1, if the E is more than or equal to the E1, sequentially deleting the corresponding De values according to the sequence of the De-D from large to small, calculating the discrete value E of the rest De values, and comparing the E with the E1 again until the E is more than or equal to E1<E1, wherein the E1 is a preset discrete value threshold; d is the average value of the total number D1, D2,. And Dt of the vehicles in the pre-screening period C1 of the parking lot to be checked, which is calculated by taking the discrete values into account in the t checking period checking sections A1;
re-calibrating the total number D1, D2, the integral right, and the average value D of the Dt in the pre-screening period C1 of the parking time of all vehicles in the parking lot to be checked, which are calculated by taking the discrete values in the t checking period checking sections A1, as screening checking values, and marking the screening checking values as F1;
s27: calibrating an initial parking time interval P1 of the parking lot to be calibrated in the t calibration period calibration sections A1 according to a certain calibration rule, wherein the specific calibration rule is as follows:
s271: comparing the size of the F1 with that of the E2, wherein the E2 is a preset threshold value:
s272: creating an empty first filter list Q1, i.e., Q1= [ ];
s273: if F1> E2, add the pre-screening period C1 into Q1, i.e., Q1= [ C1];
and marking the pre-screening time interval C1 as a parking time interval P1 of the parking lot to be checked and determined, and representing the parking time interval by using an interval form, namely the parking time interval of the parking lot to be checked and determined is [00:00, 01:00];
at the moment, the parking time interval P1 represents that the parking time of the vehicle in the parking lot to be checked is within 1 hour;
s274: otherwise, adding the pre-screening time periods C1 and C2 into Q1, wherein Q1 is [ C1, C2];
according to S25 to S26, obtaining parking time lengths of all vehicles in a parking lot to be verified in the t verification period verification sections A1, wherein the parking time lengths of all vehicles in the parking lot to be verified meet the total number G1, G2,. And Gt of the vehicles in the pre-screening time period stored in the first screening list Q1, calculating to obtain screening verification values F2 of the vehicles, and comparing the sizes of the F2 and the E2:
if F2 is greater than E2, calibrating the pre-screening time interval C1 and the pre-screening time interval C2 into a parking time interval P1 of the parking lot to be checked, and representing the parking time interval P1 in an interval form, namely, the first parking time interval of the parking lot to be checked is [00:00, 02:00], wherein the parking time interval P1 represents that the parking time of the vehicle in the parking lot to be checked is within 2 hours;
if the F2 is not more than the E2, adding the pre-screening time periods C3, C4 and the say.Cc into a first screening list Q1 one by one according to the sequence of the C3, the C4 and the say.Cc, acquiring the parking time lengths of all vehicles in the parking lot to be checked in the t checking period checking sections A1, meeting the total number of the vehicles in the pre-screening time periods stored in the first screening list Q1, calculating the F2, comparing the size of the F2 with that of the E2 until the F2 is larger than that of the E2, and generating an initial parking time interval P1 of the parking lot to be checked on the basis of the first pre-screening time period and the last pre-screening time period in the current first screening list Q1;
s28: according to S22 to S27, initial parking time intervals with t approval period approval sections of the parking lot to be approved as A1, A2, the.
S29: according to S25 and S26, calculating and obtaining screening verification values corresponding to parking time intervals with the most repeated times in initial parking time intervals H1, H2, and Ha of t verification period verification sections of the parking lot to be verified, wherein the initial parking time intervals are A1, A2, and A1;
re-marking the parking duration interval with the most repetition times in the initial parking duration intervals H1, H2, the approval period approval sections A1, A2, aa and Ha of the parking lot to be approved with the t approval period approval sections A1, A2, the approval period, aa as an initial occupied interval, and marking as R1;
s210: according to S23 to S29, second parking time length intervals I1, I2, ia and Ia of t verification sections of a verification period of the parking lot to be verified are obtained;
s211: a parking time interval with the most repetition times and not partially overlapped with the parking time represented by the occupied interval R1 in the second parking time intervals H1, H2, the stop period verification sections A1, A2, the stop period verification sections A2, A1 and Ha is marked as a second occupied interval R2;
according to S29, calculating and obtaining a vehicle verification value J2 corresponding to a parking time interval which has the most repetition times in second parking time intervals H1, H2, the right-handed and Ha with t verification period verification sections of A1, A2, the right-handed and Aa to be verified and does not partially coincide with the parking time represented by the occupied interval R1;
s212, according to S23 to S211, calculating and obtaining occupied intervals R1, R2, the.. And Rr of a verification section of t verification periods a of the parking lot to be verified, wherein R is more than or equal to 1 and less than or equal to 24, and corresponding vehicle verification values J1, J2, the.. And Jr;
the data analysis module generates a verification time period table of the parking lot to be verified according to the occupied intervals R1, R2, the.
S213: according to S21 to S212, all parking lots in the area to be checked are sequentially selected to be used as parking lots to be checked, and a checking time period table of all parking lots in the area to be checked is generated;
the data analysis module transmits the approved time period tables of all the parking lots in the area to the control module, and the control module receives the approved time period tables of all the parking lots in the area transmitted by the data analysis module and then stores the approved time period tables.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. The foregoing is illustrative and explanatory only and is not intended to be exhaustive or to limit the invention to the precise embodiments described, and various modifications, additions, and substitutions may be made by those skilled in the art without departing from the scope of the invention or exceeding the scope of the claims.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (3)
1. The utility model provides an accurate intelligent parking bootstrap system which characterized in that includes:
the monitoring end is used for monitoring a parking lot in a certain area and generating parking data of the parking lot in the area, wherein the parking data of the parking lot comprise vacant parking space data in the parking lot and parking time length data of all vehicles in the parking lot;
the data analysis module is used for analyzing the parking data of all the parking lots in a certain area to generate an approval time period table of all the parking lots in the area;
the analysis steps of the data analysis module for analyzing and generating the core timing period tables of all parking lots in a certain area are as follows:
s21: firstly, selecting an area as an area to be checked, and selecting a parking lot in the area to be checked as a parking lot to be checked;
s22: dividing one approval period into a pieces of approval segments with equal length, and marking the a pieces of approval segments in the one approval period as A1, A2,. And Aa, a >1;
s23: taking the verification section A1 as an example, obtaining parking time lengths B1, B2,. And Bb of all vehicles of a parking lot to be verified in a verification period verification section A1, wherein B is more than or equal to 1; the one verification period is 30 days, and the one verification section is 24 hours;
s24: dividing pre-screening time periods into 24 pre-screening time periods with equal time duration in one day, wherein the initial pre-screening time period is from zero to one point, and all the pre-screening time periods Cc are obtained by analogy in sequence, and c =1, 2, · and 24;
s25: obtaining the total number D1, D2,. And Dt of vehicles in a pre-screening time period C1 of parking time lengths of all vehicles in a parking lot to be checked in t checking period checking sections A1, wherein the t checking periods take the current checking period as a starting point and backtrack t checking periods from the past;
s26: using formulas
And E is more than or equal to 1 and less than or equal to t, calculating to obtain the total number D1, D2, the right words and the Dt discrete values E of the parking time of all the vehicles in the parking lot to be checked in the t checking period checking sections A1 in the pre-screening time period C1, comparing the E with the E1, and if the E is more than or equal to the E1, sequentially deleting the corresponding De values according to the sequence of the De-D | from large to small and counting the De valuesCalculating the discrete value E of the residual De value, and comparing E with E1 again until E<E1, wherein the E1 is a preset discrete value threshold; d is the average value of the total number D1, D2,. And Dt of the vehicles in the pre-screening period C1 of the parking lot to be checked, which is calculated by taking the discrete values into account in the t checking period checking sections A1;
the method comprises the steps that the total number D1, the total number D2, the total number D of vehicles, and the average value D of the Dt in the pre-screening period C1 of the parking time of a parking lot to be checked, which is calculated by taking the discrete values into account in t checking period checking sections A1, is re-calibrated to be screening checking values, and the values are marked to be F1;
s27: calibrating an initial parking time interval P1 of the parking lot to be verified in the t verification period verification sections A1 according to a certain calibration rule;
s28: according to S22 to S27, initial parking time intervals with t approval period approval sections of the parking lot to be approved as A1, A2, the.
S29: according to S25 and S26, calculating and obtaining screening and checking values corresponding to the parking time interval with the most repetition times in the initial parking time intervals H1, H2, the right, ha of t checking period checking sections A1, A2, the right, aa of the parking lot to be checked, calculating the average value of the screening and checking values, and re-calibrating the screening and checking values to be vehicle checking values, namely J1;
re-calibrating the parking time interval with the most repeated times in the initial parking time intervals H1, H2, the approval periods of t approval periods of the parking lot to be approved, wherein the t approval periods of the parking lot to be approved are A1, A2, the.
S210: according to S23 to S29, second parking time interval I1, I2, ia and Ia of t verification periods and a verification sections of the parking lot to be verified are obtained;
s211: a parking time interval with the most repetition times and not partially overlapped with the parking time represented by the occupied interval R1 in the second parking time intervals H1, H2, the stop period verification sections A1, A2, the stop period verification sections A2, A1 and Ha is marked as a second occupied interval R2;
according to S29, calculating and obtaining a vehicle verification value J2 corresponding to a parking time interval which has the most repetition times in second parking time intervals H1, H2, the right-handed and Ha with t verification period verification sections of A1, A2, the right-handed and Aa to be verified and does not partially coincide with the parking time represented by the occupied interval R1;
s212: according to S23 to S211, calculating and obtaining occupied intervals R1, R2, and Rr of a verification section a of t verification periods of the parking lot to be verified, wherein R is more than or equal to 1 and less than or equal to 24, and corresponding vehicle verification values J1, J2, and R;
the data analysis module generates a verification time period table of the parking lot to be verified according to the occupied intervals R1, R2, the.
S213: according to S21 to S212, all parking lots in the area to be checked are sequentially selected to be used as parking lots to be checked, and a checking time period table of all parking lots in the area to be checked is generated;
the management and control module is used for storing the approved time period tables of all parking lots in a certain area;
a processing module for guiding the current pre-parking vehicle to the optimal parking lot based on the destination of the pre-parking vehicle; the processing module comprises an acquisition unit, a selection unit and a guide unit;
the system comprises a processing module, an acquisition unit, a selection unit and a display unit, wherein the processing module generates a destination acquisition instruction after receiving a pre-parking instruction of a vehicle and transmits the destination acquisition instruction to the acquisition unit;
the selection unit receives the final destination data of the vehicle transmitted by the acquisition unit and screens the optimal parking lot of the current pre-parked vehicle according to certain screening steps, wherein the specific screening steps are as follows:
s11: acquiring all parking lots Y1, Y2, and Yy, Y >1 within a distance of P kilometers from a destination according to the position data of the destination;
s12: taking a parking lot Y1 as an example, acquiring the number of the current vacant parking spaces in the parking lot Y1, and marking as T1;
comparing T1 with T; if T1 is larger than or equal to T, acquiring all occupied intervals U1, U2, U-9 and Uu stored in a check timing section table in the parking lot Y1, and corresponding vehicle check fixed values V1, V2, U-24 and Vu, wherein the U is larger than or equal to 1 and smaller than or equal to 24, and the T is a preset vacant parking space threshold value;
the method comprises the steps of obtaining vehicle number marks W1, W2, the.
S13: using formulas
Calculating and obtaining the parking space utilization rate X1 of the parking lot Y1 at the current moment;
s14: according to the steps S11 to S13, parking space utilization rates X1, X2, right-angle and Xy of all parking lots Y1, Y2, right-angle and Yy in the area at the current moment are sequentially obtained;
s15: acquiring the minimum value marks of the parking space utilization rates X1, X2, and Xy of all parking lots Y1, Y2, and Yy in the area at the current moment by using a max () method, wherein the minimum value marks are Z1;
the selected unit acquires the parking lot corresponding to the Z1 and generates selected parking lot data according to the parking lot data, and the selected unit transmits the selected parking lot data to the guiding unit;
s16: if T1< T, the parking lot Y1 is not taken as a selected target;
and the guiding unit guides the current vehicle to the selected parking lot according to the selected parking lot data after receiving the selected parking lot data transmitted by the selecting unit.
2. The system of claim 1, wherein the monitoring end comprises a plurality of monitoring modules, one monitoring module is corresponding to a parking lot in the area, the monitoring module comprises a first acquisition unit and a second acquisition unit,
the first acquisition unit is used for acquiring the parking time of the vehicles in the parking lot and generating parking time data of all the vehicles; recording the parking time of the vehicle by using a 24-hour method;
and the second acquisition unit is used for acquiring the number of the vacant parking spaces in the parking lot and generating the vacant parking space data of the parking lot.
3. The system according to claim 1, wherein in S27, the specific calibration rule of the initial parking time interval P1 of the parking lot to be verified in the t verification period verification sections A1 is as follows:
s271: comparing the size of the F1 with that of the E2, wherein the E2 is a preset threshold value:
s272: creating an empty first filter list Q1, i.e., Q1= [ ];
s273: if F1> E2, add the pre-screening period C1 into Q1, i.e., Q1= [ C1];
and marking the pre-screening time interval C1 as a parking time interval P1 of the parking lot to be checked and determined, and representing the parking time interval by using an interval form, namely the parking time interval of the parking lot to be checked and determined is [00:00, 01:00];
at the moment, the parking time interval P1 represents that the parking time of the vehicle in the parking lot to be checked is within 1 hour;
s274: otherwise, adding the pre-screening time periods C1 and C2 into Q1, wherein the Q1 is [ C1, C2];
according to S25 to S26, obtaining parking time lengths of all vehicles in a parking lot to be verified in the t verification period verification sections A1, wherein the parking time lengths of all vehicles in the parking lot to be verified meet the total number G1, G2,. And Gt of the vehicles in the pre-screening time period stored in the first screening list Q1, calculating to obtain screening verification values F2 of the vehicles, and comparing the sizes of the F2 and the E2:
if F2 is greater than E2, calibrating the pre-screening time interval C1 and the pre-screening time interval C2 into a parking time interval P1 of the parking lot to be checked, and representing the parking time interval P1 in an interval form, namely, the first parking time interval of the parking lot to be checked is [00:00, 02:00], at the moment, the parking time interval P1 represents that the parking time of the vehicle in the parking lot to be checked is within 2 hours;
if the F2 is not more than the E2, adding the pre-screening time periods C3, C4 and the right.Cc into the first screening list Q1 one by one according to the sequence of the C3, the C4 and the right.Cc, acquiring the parking time lengths of all vehicles in the parking lot to be checked in the t checking period checking sections A1, meeting the total number of the vehicles in the pre-screening time periods stored in the first screening list Q1, calculating the F2, comparing the size of the F2 with that of the E2 until the F2 is larger than that of the E2, and generating an initial parking time interval P1 of the parking lot to be checked on the basis of the first pre-screening time period and the last pre-screening time period in the current first screening list Q1.
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| CN111009151A (en) * | 2019-12-10 | 2020-04-14 | 珠海格力电器股份有限公司 | Parking space recommendation method, storage medium and terminal device |
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| CN112837560B (en) * | 2021-01-21 | 2022-04-12 | 安徽中科数盾科技有限公司 | Novel intelligent public parking lot intelligent management method based on 5G |
| CN112991812A (en) * | 2021-02-26 | 2021-06-18 | 邢冠南 | Parking space reservation management system based on user demand priority |
| CN114694399B (en) * | 2022-04-06 | 2023-02-28 | 安徽中安速泊停车管理有限公司 | Parking stall reservation management system based on thing networking |
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| CN111009151A (en) * | 2019-12-10 | 2020-04-14 | 珠海格力电器股份有限公司 | Parking space recommendation method, storage medium and terminal device |
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