CN114724405B - Parking guidance method and system based on big data - Google Patents
Parking guidance method and system based on big data Download PDFInfo
- Publication number
- CN114724405B CN114724405B CN202210456487.9A CN202210456487A CN114724405B CN 114724405 B CN114724405 B CN 114724405B CN 202210456487 A CN202210456487 A CN 202210456487A CN 114724405 B CN114724405 B CN 114724405B
- Authority
- CN
- China
- Prior art keywords
- parking
- module
- user
- vehicle
- parking space
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000007726 management method Methods 0.000 claims abstract description 38
- 238000012544 monitoring process Methods 0.000 claims description 25
- 239000002184 metal Substances 0.000 claims description 22
- 238000001514 detection method Methods 0.000 claims description 13
- 238000005457 optimization Methods 0.000 claims description 12
- 230000006698 induction Effects 0.000 claims description 11
- 230000000694 effects Effects 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000010521 absorption reaction Methods 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims 2
- 238000012937 correction Methods 0.000 claims 1
- 238000011161 development Methods 0.000 abstract description 2
- 239000000243 solution Substances 0.000 description 7
- 230000009471 action Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000002347 injection Methods 0.000 description 2
- 239000007924 injection Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000002790 cross-validation Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C3/00—Measuring distances in line of sight; Optical rangefinders
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V9/00—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/042—Detecting movement of traffic to be counted or controlled using inductive or magnetic detectors
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geophysics (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a parking guiding method and system based on big data, which comprises a ground sensing module and a parking lot management module, wherein the ground sensing module is used for detecting vehicle information on a parking place, the parking lot management module is used for managing vehicles in the parking lot, planning an optimal parking position and guiding a user to park, the ground sensing module is in data connection with the parking lot management module, the number of private vehicles is rapidly increased along with economic development at present, the problem that the parking is difficult to meet when the user goes out to drive a car to a market is solved, an ideal parking place of the parking lot can be rapidly obtained through a big data parking guiding system, the cost of the user on the parking is saved, meanwhile, the ground sensing module is arranged in the system to determine whether the parking place can park the user, the user can be greatly prevented from using an unaccustomed parking mode, and the experience of the user is enhanced.
Description
Technical Field
The invention relates to the technical field of parking guidance, in particular to a parking guidance method and system based on big data.
Background
Along with the increase of living demands of people and the popularization of automobiles, drivers are more and more, parking spaces of a parking lot are quite limited, particularly, at present, more and more shopping malls exist, the interest of people going out to go to shopping malls for shopping is gradually increased, and the increased parking demands are increased. Although the driver is skilled relatively, the problem of finding a parking space is inevitable when the driver enters a new environment, and meanwhile, a great number of drivers get on the road and are afraid of certain psychological fear when meeting the condition of needing to park, so that the driver has a great problem in parking.
The technology such as the automatic control network communication of the current sensing technology of the market garage has been developed to a certain stage, and the realization of the intelligent parking lot has the technical support. The Internet of things technology is utilized, information interaction among people, vehicles and the parking lot is achieved, a user can easily know information of the parking lot only by operating a mobile phone, utilization rate and parking efficiency of the parking lot are effectively improved, and the problems that an ideal area of the existing parking lot is fuzzy and parking space distribution is unreasonable are solved. Therefore, it is necessary to design a parking guidance method and system based on big data for guidance accuracy and management regulations.
Disclosure of Invention
The present invention provides a parking guidance method and system based on big data to solve the problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: a parking guiding method and system based on big data comprises a ground sensing module and a parking lot management module, wherein the ground sensing module is used for detecting vehicle information on a parking space, the parking lot management module is used for managing vehicles in the parking lot, planning an optimal parking position and guiding a user to park, and the ground sensing module is in data connection with the parking lot management module.
According to the technical scheme, the ground sensing module comprises an infrared distance measuring module, a temperature monitoring unit and a metal detection unit, the infrared distance measuring module is used for detecting whether an automobile stays in a parking space or not and detecting the parking condition, the temperature monitoring unit is used for monitoring the temperature of the automobile, the metal detection module is used for detecting whether the automobile enters the parking space or not, the infrared monitoring module is electrically connected with the temperature monitoring module, the temperature monitoring unit is electrically connected with the metal detection unit, and the infrared distance measuring module is electrically connected with the metal detection unit;
the parking lot module comprises a vehicle management module, a parking planning module, a protocol module and a database module, wherein the vehicle management module is used for counting the distribution of vacant parking spaces in the parking lot and prompting vehicle parking, the parking planning module is used for selecting an optimal parking position according to user requirements, the protocol module is used for performing different processing according to the parking of a user, the database module is used for storing parking space information of the parking lot and parking information of parked vehicles, the vehicle management module is in data connection with the parking planning module, the vehicle management module is in data connection with the database module, the parking planning module is in data connection with the database module, and the protocol module is in data connection with the database module.
According to the technical scheme, the vehicle management module comprises a parking space management module and a parking space prompt module, the parking space management module is used for inquiring the vacant parking spaces in the parking lot and sending data to the database module, the parking space prompt module is used for standardizing the parking of a user and prompting the user of the nonstandard parking, and the parking space management module is in data connection with the parking prompt module;
the parking planning module comprises an area dividing module, a parking mode selection module and a parking space optimization module, wherein the area dividing module is used for dividing a parking lot into functional areas according to the fact that the parking lot is close to a shopping mall, the parking mode selection module is used for selecting an ideal parking space of a user, the parking space optimization module is used for reasonably planning an optimal parking space according to the requirements of the user, the area dividing module is in data connection with the parking space optimization module, and the parking mode selection module is in data connection with the parking space optimization module.
According to the technical scheme, the method comprises the following steps:
step S1: the system firstly inquires the remaining parking spaces of the current parking lot in the data;
step S2: when a user vehicle plans to enter a certain market, the user vehicle makes a reservation for a parking space in the market in the mobile phone software, when the user vehicle enters an entrance of an underground parking lot in the market, a camera module of the parking lot scans a license plate of the user vehicle, and after the user vehicle is confirmed to enter, the mobile phone software automatically establishes connection with a parking lot system;
and step S3: the system divides the functional areas of the parking lot and screens the parking spaces according to the ideal parking areas and parking modes of users;
and step S4: when the vehicle enters the parking lot, the vehicle is re-screened, and the parking position is selected according to the optimal matching algorithm
Step S5: when a user enters a parking space according to vehicle navigation, the ground sensing device can detect whether the parking is in a standard state, if the parking is not in a standard state, the user is prompted to continue to correct, and if the parking is in a standard state, the parking is displayed to be completed;
step S6: the system judges whether the vehicle of the user is correctly parked according to the protocol module and makes a corresponding preferential or punishment mechanism;
step S7: and the system sends an electric signal to the ground induction module to work at a time interval T, detects whether a vehicle is in the parking space, and updates the database according to the detection result.
According to the above technical solution, the step S3 further includes the steps of:
step S31: the system divides the parking lot into areas, and divides different functional areas according to the area content of a market close to the parking lot;
step S32: when a user starts a vehicle to start, prompting the user to select a purpose of a planned shopping mall and an expected parking mode;
step S33: firstly, according to the current user requirements, the system selects an area position meeting the first function requirements of the user, but simultaneously conceivably reserves vacant parking spaces in the range of the parking area W;
step S34: secondly, the user selects the expected parking mode to be parking in a reversed garage or parking on the side, and further selects the appropriate ideal parking point R according to the condition.
According to the above technical solution, the step S4 further includes the steps of:
step S41: a user vehicle enters a parking lot, and when a system allocates a parking space, the vehicle is navigated to move forward;
step S42: recording time when a camera near a parking space scans a license plate for the first time, and recording time again when a local sensing module detects that the parking of a vehicle is finished to obtain the time spent by a user in parking;
step S43: when a vehicle enters a market, the system reads historical parking data in the database, if historical parking time records exist, when the average value of the historical parking time does not exceed a threshold E, an ideal parking point R is selected, and if the average value of the historical parking time does not exceed the threshold E, a selection is made in a hidden parking place;
step S44: the system scans whether continuous vacant parking spaces exist in the hidden parking spaces or not, and marks the areas with the continuous parking spaces as Y;
step S45: and selecting a parking space closer to the ideal entrance of the user in the Y area.
According to the above technical solution, the step S5 further comprises the steps of:
step S51: the ground induction system works and sends an electric signal to the infrared ranging module;
step S52: the infrared distance measurement module sends dense infrared beams to the periphery, and the infrared beams meet the shelter to generate a beam absorption refraction effect;
step S53: according to the feedback information of the infrared distance measuring light beam module, the shape of the vehicle chassis is measured and calculated, and the length H of the edge curve is obtained n And an injection angle alpha n ；
Step S54: the module calculates the length Q of the ground induction module from the edge of the vehicle according to the information n ，Q n ＝H n ×cosα n Thereby obtaining the specific position information of the vehicle in the parking area.
Step S55: after the user parks, the system prompts the user to finish parking or continue to correct the vehicle according to the specific parking position of the vehicle.
According to the above technical solution, the step S6 further comprises the steps of:
step S61: when the user obtains an ideal parking space, the mobile phone system can automatically navigate the position;
step S62: when the vehicle drives into a preset position, the ground sensing module works, and the temperature monitoring unit and the metal detection unit judge whether the vehicle drives into the ground according to the guidance of the system;
step S63: if the position where the user is parked accords with the expected position, the parking information is marked as green;
step S64: if the parked position does not match the system's predetermined position, its information is marked red.
According to the above technical solution, the step S7 further includes the steps of:
step S71: the system automatically updates the database every T periods;
step S72: judging whether the parking place really has vehicle parking according to the infrared distance measuring module and the metal detecting module;
step S73: and the system updates the parking space information in the database according to the monitoring result of each ground induction module.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, through the big data parking guidance system, the ideal parking place of the parking lot can be quickly obtained by arranging the ground sensing module and the parking lot management module, the cost of a user on the parking thing is saved, meanwhile, the ground sensing module is arranged in the system, whether the user can park the car in the parking lot or not is determined, the user is greatly prevented from using an unaccustomed parking mode, and the user experience is enhanced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the system module composition 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a parking guiding method and system based on big data comprises a ground sensing module and a parking lot management module, wherein the ground sensing module is used for detecting vehicle information on a parking space, the parking lot management module is used for managing vehicles in the parking lot, planning an optimal parking position and guiding a user to park, the ground sensing module is in data connection with the parking lot management module, the number of private vehicles rises sharply along with economic development at present, the problem that the private vehicles are difficult to park when the private vehicles go out and drive to go to a market is often met, an ideal parking place of the parking lot can be obtained quickly through the big data parking guiding system, the cost of the user on the occasion of parking is saved, meanwhile, the ground sensing module is arranged in the system, whether the parking space can park the user, the user can be stopped or not is determined, the user is prevented from using an unaccustomed parking mode to the great extent, and user experience is enhanced.
The ground sensing module comprises an infrared distance measuring module, a temperature monitoring unit and a metal detecting unit, wherein the infrared distance measuring module is used for detecting whether a car stays in a parking space or not and detecting the parking condition, the temperature monitoring unit is used for monitoring the temperature of the car, the metal detecting module is used for detecting whether the car enters the parking space or not, the infrared distance measuring module is electrically connected with the temperature monitoring module, the temperature monitoring unit is electrically connected with the metal detecting unit, and the infrared distance measuring module is electrically connected with the metal detecting unit;
the parking lot module comprises a vehicle management module, a parking planning module, a protocol module and a database module, wherein the vehicle management module is used for counting the distribution of vacant parking spaces in the parking lot and prompting vehicle parking, the parking planning module is used for selecting an optimal parking position according to user requirements, the protocol module is used for performing different processing according to the parking of a user, the database module is used for storing parking space information of the parking lot and parking information of parked vehicles, the vehicle management module is in data connection with the parking planning module, the vehicle management module is in data connection with the database module, the parking planning module is in data connection with the database module, and the protocol module is in data connection with the database module.
The vehicle management module comprises a parking space management module and a parking space prompt module, the parking space management module is used for inquiring vacant parking spaces in a parking lot and sending data to the database module, the parking space prompt module is used for standardizing parking of a user and reminding the user of unqualified parking, and the parking space management module is in data connection with the parking prompt module;
the parking planning module comprises an area dividing module, a parking mode selection module and a parking space optimization module, wherein the area dividing module is used for dividing a parking lot into functional areas according to the fact that the parking lot is close to a shopping mall, the parking mode selection module is used for selecting an ideal parking space of a user, the parking space optimization module is used for reasonably planning an optimal parking space according to the requirements of the user, the area dividing module is in data connection with the parking space optimization module, and the parking mode selection module is in data connection with the parking space optimization module.
The method comprises the following steps:
step S1: the system firstly inquires the remaining parking spaces of the current parking lot in the data, the parking condition of the current parking lot is stored in the database, and after a user enters the system, the occupied parking spaces can be automatically subtracted by the system;
step S2: when a user vehicle plans to enter a certain market, the user performs market parking space reservation in mobile phone software, when the user vehicle enters an entrance of an underground parking lot of the market, a camera module of the parking lot scans the license plate of the user vehicle, after the user vehicle is confirmed to enter, the mobile phone software automatically establishes connection with the parking lot system, when the user is ready to enter the certain market, reservation is performed in advance, when the user vehicle enters the parking lot, the parking lot scans the license plate of the vehicle, and the vehicle is confirmed to enter the parking lot, and the operation mode is favorable for system maintenance, manual connection of the user is not needed, and the situation that the user uses the mobile phone when driving is avoided;
and step S3: the system divides the functional area of the parking lot, screens the parking spaces according to the ideal parking area and the parking mode of a user, screens the ideal position for the first time, and quickly reduces the parking space range;
and step S4: when the vehicle enters the parking lot, the vehicle is re-screened, and the parking position is selected according to the optimal matching algorithm
Step S5: when a user enters a parking space according to vehicle navigation, the ground sensing device can detect whether the parking is standard or not, if the parking is not standard, the user is prompted to continue to correct, if the parking is standard, the user is displayed that the parking is finished, although the vehicle is parked at the parking space in life, if the parking is quite not standard, the user can be influenced to drive the vehicle out, meanwhile, the parking of surrounding vehicles is influenced, if the parking of the vehicle is too random, the position of the nearby parking space can be greatly limited, other users can not easily park the vehicle, and meanwhile, when the user parks the vehicle too randomly, the user can be also limited to drive the vehicle out when the vehicle is parked in the surrounding space;
step S6: the system judges whether the vehicle of the user is correctly parked according to the protocol module and makes a corresponding preferential or punishment mechanism;
step S7: and the system sends an electric signal to the ground induction module to work at a time interval T, detects whether a vehicle is in the parking space, and updates the database according to the detection result.
Step S3 further comprises the steps of:
step S31: the system divides the parking lot into areas, divides different functional areas according to the area content of a market close to the parking lot, and divides the parking lot area according to the content of the market, so that a user can conveniently enter an ideal market area of the user in the shortest distance after parking, and the requirements of the user are met;
step S32: before a user starts a vehicle, prompting the user to select a purpose of a planned shopping mall and an expected parking mode, and selecting a proper parking position according to the requirement of the user to optimize the user experience;
step S33: the system firstly selects an area position meeting the first function requirement of a user according to the current user requirement, but simultaneously conceivably reserves vacant parking spaces in the range of the parking area W, the user possibly cannot park in an ideal area due to limited parking level, and at the moment, the concealed parking spaces need to be reserved to provide an alternative scheme for the user;
step S34: secondly, the user selects the expected parking mode to be parking in a reverse garage or parking on the side, a proper ideal parking point R is further screened according to the condition, the user mostly uses the parking in the reverse garage mode to park when parking at ordinary times, and if the user needs to park on the side, the user is inevitably careless, so that the vehicle cannot be parked well, and the parking of other users is also hindered.
Step S4 further comprises the steps of:
step S41: a user vehicle enters a parking lot, and when a system allocates a parking space, the vehicle is navigated to move forward;
step S42: the method comprises the steps that time is recorded when a camera near a parking space scans a license plate for the first time, time is recorded again when a locality sensing module detects that the parking of a vehicle is completed, the time spent by a user in parking is obtained, and the parking time of the vehicle can be obtained visually through the confirmation of two sensors;
step S43: when a vehicle enters a market, the system reads historical parking data in the database, if historical parking time records exist, an ideal parking point R is selected when the average value of the historical parking time does not exceed a threshold value E, if the average value of the historical parking time exceeds the threshold value E, the ideal parking point R is selected in a hidden parking place, the historical average parking time of a user can visually see the parking level of the user, and the driving ability of the user is judged according to the element;
step S44: the system scans whether continuous vacant parking spaces exist in the hidden parking spaces, the areas with the continuous parking spaces are marked as Y, and if the continuous parking spaces exist in the hidden areas, a user can conveniently park, so that the areas are marked;
step S45: the parking space closer to the ideal entrance of the user is selected in the Y area, the parking space closer to the ideal area of the user is selected in the easy parking area, and the better parking position is provided for the user while the user requirement is met.
Step S5 further comprises the steps of:
step S51: the ground sensing system works and sends an electric signal to the infrared distance measuring module;
step S52: the infrared distance measurement module sends dense infrared beams to the periphery, the infrared beams generate a beam absorption refraction effect when encountering a shelter, and the dense beams can form the outline shelter of the vehicle under the shelter of a chassis, so that the specific position of the vehicle can be calculated;
step S53: according to redThe shape of the chassis of the vehicle is measured and calculated by the feedback information of the external ranging light beam module, and the length H of the edge curve is obtained n And an injection angle alpha n According to the dense infrared distance measurement light distance and the corresponding angle, the parking profile is measured and calculated through a trigonometric function, and the actual parking condition can be obtained because the ground sensing device is positioned at the center of the parking space;
step S54: the module calculates the length Q of the ground induction module from the edge of the vehicle according to the information n ，Q n ＝H n ×cosα n The specific position information of the vehicle in the parking area is obtained, and the chassis details of the vehicle are traced by the intensive infrared beam edge through the data calculation, so that the specific condition of the vehicle in the parking space is obtained.
Step S55: after the user parks, the system prompts the user to finish parking or continue to correct the vehicle according to the specific parking position of the vehicle.
Step S6 further comprises the steps of:
step S61: when the user obtains an ideal parking space, the mobile phone system can automatically navigate the position;
step S62: when a vehicle enters a preset position, the ground sensing module works, the temperature monitoring unit and the metal detection unit judge whether the vehicle enters according to the guidance of the system, the vehicle can be guaranteed to stop at a specified position according to the plan through monitoring of the temperature and the metal, the actual planned effect of the system is guaranteed to be consistent, when the vehicle stops, the temperature is relatively high due to the fact that an engine runs for a period of time, whether the vehicle enters is checked through a temperature monitoring method, and meanwhile when the vehicle enters the position, the vehicle contains a large amount of metal, and the vehicle can be guaranteed to enter the specified position through metal detection;
step S63: if the position where the user is parked accords with the expected position, the parking information is marked as green, and when the user drives away from the parking lot, the discount is carried out on the parking fee;
step S64: if the parking position does not accord with the preset position of the system, the information is marked to be red, and if the behavior of malicious parking exists, the parking fee is required to be punished, so that the parking fee is improved, the malicious parking is realized, the system operation is not facilitated, and the parking of other people is prevented.
Step S7 further comprises the steps of:
step S71: in order to ensure that the vehicle information of the parking lot is correct, the database is automatically updated at intervals of one week, so that the accuracy of the database is ensured, resources are saved, resource consumption caused by excessive updating is avoided, and meanwhile, after the power is cut off, a gate of the parking lot is manually opened, the vehicle is not deleted in the database when leaving the parking lot, so that the database needs to be updated after the power is cut off;
step S72: judging whether a vehicle is actually parked in the parking space or not according to the infrared ranging module and the metal detection module, if so, processing the infrared ranging to obtain an image of the vehicle, otherwise, not imaging, and performing cross validation by using metal detection to ensure that the information is correct;
step S73: the system updates the parking space information in the database according to the monitoring result of each ground induction module, updates the database in time, avoids wasting parking lot resources, enables a user to obtain an ideal parking space as far as possible, and enables both the parking lot and the user to have profits.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (2)
1. A parking guidance method based on big data is characterized in that: the method comprises the following steps:
step S1: the system firstly inquires the remaining parking spaces of the current parking lot in the data;
step S2: when a user vehicle is planned to enter a certain mall, the mall parking space reservation is carried out in the mobile phone software, when the user vehicle enters an entrance of an underground parking lot of the mall, the license plate of the user vehicle is scanned by the camera module of the parking lot, and after the user vehicle is confirmed to enter, the mobile phone software automatically establishes connection with the parking lot system;
and step S3: the system divides the parking lot into functional areas and screens the parking spaces according to the ideal parking areas and parking modes of users;
and step S4: when the vehicle enters the parking lot, re-screening is carried out, and the parking position is selected according to the optimal matching algorithm;
step S5: when a user enters a parking space according to vehicle navigation, the ground sensing device can detect whether parking is standard or not, if the parking is not standard, the user is prompted to continue to correct, and if the parking is standard, the parking is displayed to be finished;
step S6: the system judges whether the vehicle of the user is correctly parked according to the protocol module and makes a corresponding preferential or punishment mechanism;
step S7: the system sends an electric signal to the ground induction module to work at a time interval T, detects whether a vehicle is in a parking space, and updates the database according to the detection result;
the step S3 further includes the steps of:
step S31: the system divides the parking lot into areas, and divides different functional areas according to the area content of the market close to the parking lot;
step S32: when a user starts a vehicle to start, prompting the user to select a purpose of a planned shopping mall and an expected parking mode;
step S33: firstly, according to the current user requirements, the system selects an area position meeting the first function requirements of the user, but simultaneously conceivably reserves vacant parking spaces in the range of the parking area W;
step S34: secondly, selecting the expected parking mode as parking in a reversed garage or parking on the side by the user, and further screening a proper ideal parking spot R according to the condition;
the step S4 further includes the steps of:
step S41: a user vehicle enters a parking lot, and when a system allocates a parking space, the vehicle is navigated to move forward;
step S42: recording time when a camera near a parking space scans a license plate for the first time, and recording time again when a local sensing module detects that the parking of a vehicle is finished to obtain the time spent by a user in parking;
step S43: when a vehicle enters a market, the system reads historical parking data in the database, if historical parking time records exist, when the average value of the historical parking time does not exceed a threshold E, an ideal parking point R is selected, and if the average value of the historical parking time does not exceed the threshold E, a selection is made in a hidden parking place;
step S44: the system scans whether continuous vacant parking spaces exist in the hidden parking spaces or not, and marks the areas with the continuous parking spaces as Y;
step S45: selecting a parking space closer to an ideal entrance of a user in the Y area;
the step S5 further includes the steps of:
step S51: the ground induction system works and sends an electric signal to the infrared ranging module;
step S52: the infrared distance measurement module sends dense infrared beams to the periphery, and the infrared beams meet the shelter to generate a beam absorption refraction effect;
step S53: according to the feedback information of the infrared distance measuring light beam module, the shape of the vehicle chassis is measured and calculated, and the length H of the edge curve is obtained n And an emission angle alpha n ；
Step (ii) ofS54: the module calculates the length Q of the ground induction module from the edge of the vehicle according to the information n ，Q n ＝H n ×cosα n Thereby obtaining the specific position information of the vehicle in the parking area;
step S55: after the user parks, the system prompts that the parking is finished or the correction is continued according to the specific parking position of the vehicle;
the step S6 further includes the steps of:
step S61: when the user obtains an ideal parking space, the mobile phone system can automatically navigate the position;
step S62: when the vehicle drives into a preset position, the ground sensing module works, and the temperature monitoring unit and the metal detection unit judge whether the vehicle drives into the ground according to the guidance of the system;
step S63: if the position where the user is parked accords with the expected position, the parking information is marked as green;
step S64: if the stopped position does not accord with the preset position of the system, marking the information thereof as red;
the step S7 further includes the steps of:
step S71: the system automatically updates the database every T periods;
step S72: judging whether the parking space really has vehicle parking according to the infrared distance measuring module and the metal detecting module;
step S73: and the system updates the parking space information in the database according to the monitoring result of each ground induction module.
2. A big data based parking guidance system, characterized in that: the system comprises a ground sensing module and a parking lot management module, wherein the ground sensing module is used for detecting vehicle information on a parking space, the parking lot management module is used for managing vehicles in a parking lot, planning an optimal parking position and guiding a user to park, and the ground sensing module is in data connection with the parking lot management module;
the ground sensing module comprises an infrared distance measuring module, a temperature monitoring unit and a metal detecting unit, wherein the infrared distance measuring module is used for detecting whether a car stays in a parking space or not and the parking condition, the temperature monitoring unit is used for monitoring the temperature of the car, the metal detecting module is used for detecting whether the car enters the parking space or not, the infrared monitoring module is electrically connected with the temperature monitoring module, the temperature monitoring unit is electrically connected with the metal detecting unit, and the infrared distance measuring module is electrically connected with the metal detecting unit;
the parking lot module comprises a vehicle management module, a parking planning module, a protocol module and a database module, wherein the vehicle management module is used for counting the distribution of vacant parking spaces in the parking lot and prompting vehicle parking, the parking planning module is used for selecting an optimal parking position according to the requirements of a user, the protocol module is used for performing different processing according to the parking of the user, the database module is used for storing parking space information of the parking lot and parking information of parked vehicles, the vehicle management module is in data connection with the parking planning module, the vehicle management module is in data connection with the database module, the parking planning module is in data connection with the database module, and the protocol module is in data connection with the database module;
the vehicle management module comprises a parking space management module and a parking space prompt module, the parking space management module is used for inquiring the vacant parking spaces in the parking lot and sending data to the database module, the parking space prompt module is used for standardizing the parking of a user and reminding the user of the nonstandard parking, and the parking space management module is in data connection with the parking prompt module;
the parking planning module comprises an area dividing module, a parking mode selection module and a parking space optimization module, wherein the area dividing module is used for dividing a parking lot into functional areas according to the movable area of the parking lot close to a shopping mall, the parking mode selection module is used for selecting an ideal parking space of a user, the parking space optimization module is used for reasonably planning an optimal parking space according to the requirements of the user, the area dividing module is in data connection with the parking space optimization module, and the parking mode selection module is in data connection with the parking space optimization module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210456487.9A CN114724405B (en) | 2022-04-27 | 2022-04-27 | Parking guidance method and system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210456487.9A CN114724405B (en) | 2022-04-27 | 2022-04-27 | Parking guidance method and system based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114724405A CN114724405A (en) | 2022-07-08 |
| CN114724405B true CN114724405B (en) | 2022-11-18 |
Family
ID=82245075
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210456487.9A Active CN114724405B (en) | 2022-04-27 | 2022-04-27 | Parking guidance method and system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114724405B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116798259A (en) * | 2022-12-20 | 2023-09-22 | 慧之安信息技术股份有限公司 | Method and system for managing parking lot based on edge calculation |
| CN116959289B (en) * | 2023-09-21 | 2024-03-22 | 山东通维信息工程有限公司 | Intelligent parking system and method based on vehicle-road cooperation technology |
| CN117744846B (en) * | 2024-02-20 | 2024-05-10 | 深圳益实科技有限公司 | Intelligent parking space reservation management system and method based on Internet of things technology |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108230730A (en) * | 2017-11-16 | 2018-06-29 | 湖南深拓智能设备股份有限公司 | Parking management system and parking stall management method |
| CN113674547A (en) * | 2021-08-28 | 2021-11-19 | 武威职业学院 | Intelligent parking management system and method |
| CN113744558A (en) * | 2021-09-06 | 2021-12-03 | 西安建筑科技大学 | Parking space-level parking inertial navigation system and navigation method based on MEMS sensor |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11222482B2 (en) * | 2014-10-28 | 2022-01-11 | Enzo Stancato | System and method for an integrated parking management system |
-
2022
- 2022-04-27 CN CN202210456487.9A patent/CN114724405B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108230730A (en) * | 2017-11-16 | 2018-06-29 | 湖南深拓智能设备股份有限公司 | Parking management system and parking stall management method |
| CN113674547A (en) * | 2021-08-28 | 2021-11-19 | 武威职业学院 | Intelligent parking management system and method |
| CN113744558A (en) * | 2021-09-06 | 2021-12-03 | 西安建筑科技大学 | Parking space-level parking inertial navigation system and navigation method based on MEMS sensor |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114724405A (en) | 2022-07-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114724405B (en) | Parking guidance method and system based on big data | |
| CN109191898B (en) | Online intelligent parking system | |
| CN107527520B (en) | Big data-based smart parking cloud platform | |
| CN105575173B (en) | A kind of intelligent parking communication system and reservation parking method | |
| CN106971607B (en) | Full-automatic intelligent parking method and device | |
| CN105575174B (en) | A kind of intelligent parking communication system and reservation parking method | |
| CN106251687A (en) | A kind of garage intelligent parking management system | |
| CN105551298A (en) | Intelligent parking communication system and parking appointment method | |
| WO2018232950A1 (en) | METHOD AND DEVICE FOR PLANNING A PARKING PLACE IN A PARKING PARK | |
| CN105046965A (en) | Unauthorized vehicle detection | |
| KR20130090207A (en) | Method for parking preengagement using information communication network and its preengagement system | |
| CN111553994A (en) | Intelligent management system of parking lot, parking method and parking device | |
| CN114387686A (en) | Parking lot intelligent navigation system and method based on big data | |
| CN112581641A (en) | Vehicle charging method, storage medium, and electronic device | |
| CN112406855A (en) | Automatic parking method and device, vehicle and storage medium | |
| CN116645829A (en) | Parking method, parking management system and parking robot | |
| CN114360278A (en) | Parking control method and system | |
| CN113990098B (en) | Intelligent parking lot | |
| CN111815997B (en) | A parking guidance method, system, intelligent terminal and storage medium | |
| KR102058708B1 (en) | A management system of parking lot using sound detection | |
| CN115985131A (en) | Parking lot parking space reservation method and system | |
| CN113269110A (en) | Car washing service reservation method, vehicle-mounted control system and storage medium | |
| CN113345261A (en) | Intelligent vehicle one-stop management and service system based on mobile internet and internet of things | |
| KR102699707B1 (en) | Method and system for providing parking service | |
| CN116612656B (en) | A parking guidance method and system based on big data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |