Parking abnormality reminder system and method based on sampling data analysis

Abstract

The present invention relates to the field of parking management, and discloses a parking abnormality reminder system and method based on sampling data analysis, comprising: firstly, dividing a parking area into a plurality of parking sub-areas, each parking sub-area being equipped with at least one set of monitoring cameras to obtain parking information in the parking sub-areas in real time; secondly, receiving the parking information in each parking sub-area and processing the parking information; thirdly, performing abnormality analysis on the processed data, and judging whether there is parking abnormality in each parking sub-area according to the abnormality analysis result; if there is, issuing a parking abnormality warning, otherwise, not issuing a parking abnormality warning signal; finally, after receiving the parking abnormality warning signal, the parking area management system background marks the position of the parking sub-area, executes the parking abnormality reminder strategy, and issues abnormality reminder information to vehicles with parking abnormality in the parking sub-area.

Description

Technical Field

[0001] The present invention relates to the field of parking management, and in particular to a parking abnormality reminder system and method based on sampling data analysis. Background Art

[0002] As vehicles become more intelligent, higher-end cars will generally come with automatic parking systems, which assist in parking based on radars and surveillance cameras installed around the vehicle.

[0003] In daily life, it is often necessary to enter various parking lots to park. Parking spaces are pre-divided in each parking lot. Although the driver can drive the car to an empty parking space through the automatic parking system, in the actual parking process, there are often multiple empty parking spaces in the parking lot, but because other car owners did not park their vehicles in the appropriate position, one car occupies two parking spaces or the vehicle is parked at an angle in the parking space, encroaching on the parking space or driving space of the adjacent parking space, creating obstacles for the subsequent parking of new vehicles. The new car owner needs to take the initiative to contact and coordinate or the parking lot manager to coordinate to achieve smooth parking, which obviously affects the parking efficiency. Summary of the invention

[0004] The purpose of the present invention is to provide a parking abnormality reminder system and method based on sampling data analysis to solve the above technical problems.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A parking abnormality reminder method based on sampling data analysis, comprising:

[0007] S1: Divide the parking area into a plurality of parking sub-areas, each of which is equipped with at least one set of surveillance cameras to obtain parking information in the parking sub-areas in real time;

[0008] S2: receiving parking information in each parking sub-area and processing the parking information;

[0009] S3: Performing an abnormality analysis on the processed data, and judging whether there is a parking abnormality in each parking sub-area according to the abnormality analysis result; if so, issuing a parking abnormality warning signal, otherwise, not issuing a parking abnormality warning signal;

[0010] S4: After receiving the abnormal parking warning signal, the parking area management system background marks the location of the parking sub-area, executes the abnormal parking reminder strategy, and sends abnormal reminder information to the vehicles with abnormal parking in the parking sub-area.

[0011] As a further technical solution, when entering the parking area, the vehicle automatic parking system communicates with the parking area management system; when leaving the parking area, the vehicle system disconnects from the parking area management system.

[0012] As a further technical solution, the parking information includes the length of the vehicle , the straight-line distance data between the driver's door handle and the parking space line , the straight-line distance data between the front passenger door handle and the parking space line And parking space length data ;

[0013] The process of processing parking information includes:

[0014] The image information of the vehicle in the parking space is obtained through the monitoring camera, and the image information is transmitted to the trained neural network model to output the angle data between the center line of the vehicle and the center line of the parking space length. ;

[0015] By formula: Calculate the parking assessment coefficient for each vehicle ,in, is the unit elimination coefficient.

[0016] As a further technical solution, the process of performing abnormal analysis on the processed data and determining whether there is parking abnormality in each parking sub-area includes: obtaining the number of parking spaces in each parking sub-area and number of vehicles ;

[0017] The parking sub-area where the number of vehicles is less than the number of parking spaces is marked as a parking area, otherwise it is marked as a full area;

[0018] Perform abnormal analysis on the parking area through the formula: Calculate the first Abnormal index of parking area ;

[0019] in, ;

[0020] The abnormal index obtained With preset threshold Make a comparison;

[0021] like , it is determined that there is a parking abnormality in the parking area and an abnormality warning signal is issued;

[0022] like , then it is judged that parking in the parking area is normal;

[0023] in, The ratio of vehicles with internship signs to the number of parking spaces in the current parking area; is the parking difficulty coefficient of the current parking area, is the ratio of vehicles driven by women to the number of parking spaces in the current parking area, , and It is a preset proportional coefficient, which is selected and determined based on historical data and experience data.

[0024] As a further technical solution, the parking difficulty coefficient The acquisition process is:

[0025] Get the number of parking spaces in the current parking area in real time based on surveillance cameras and number of vehicles The difference between , and plot the difference Curves of change over time ;

[0026] Get the difference based on historical data Standard change curve over time ;

[0027] By formula: Calculate the parking difficulty coefficient of the current parking area ;

[0028] in, is a reference value, obtained based on historical data; is the reference coefficient, which is selected and determined based on empirical data; is the total number of sampling periods; are the left and right endpoints of the sampling time; is the sum of the distances between two adjacent parked vehicles; is the reference value of the sum of the distances between two adjacent parked vehicles, determined based on empirical data; It is a preset proportionality coefficient, which is determined based on empirical data.

[0029] As a further technical solution, the process of establishing the parking abnormality reminder strategy includes:

[0030] During parking, the vehicle's automatic parking system will remind you of abnormalities during parking, and obtain the number of abnormal reminders during parking. ;

[0031] After parking is completed, the formula is: ; Calculate the parking abnormality score ; is the vehicle temperature variation curve over time, To refer to the vehicle temperature change curve over time, it is obtained based on historical data, where the vehicle temperature information is obtained based on the temperature sensor of the vehicle posture; The detection period;

[0032] like , a first-level abnormal warning signal is issued;

[0033] Parking Abnormal Score The preset threshold range ;

[0034] like If it falls within the threshold range, a level 2 abnormal parking warning signal is issued;

[0035] like If the threshold value is exceeded, a level 3 abnormal parking warning signal will be issued;

[0036] like If it is below the threshold range, no warning will be issued.

[0037] As a further technical solution, the process of executing the parking abnormality reminder strategy and sending abnormality reminder information to vehicles with abnormal parking in the parking sub-area includes:

[0038] After receiving the first-level warning signal, the parking area management system backend sends a text message reminder to the vehicle management system that has not been turned off;

[0039] After receiving the second-level warning signal, the parking management system backend sends a text message reminder to the car owner;

[0040] After receiving the third-level warning signal, the parking management system background sends a signal to the management personnel. After receiving the information, the management personnel manually contact the car owner and perform subsequent car moving actions.

[0041] As a further technical solution, the parking abnormality reminder method further includes:

[0042] S5: Obtain the abnormal index of each parking area , each abnormal index Arrange in ascending order as a priority recommendation order to remind vehicles that have just entered the parking area to select a parking sub-area.

[0043] A parking abnormality reminder system based on sampling data analysis, comprising:

[0044] The data sampling module divides the parking area into a plurality of parking sub-areas, each of which is equipped with at least one set of surveillance cameras to obtain parking information in the parking sub-areas in real time;

[0045] A data processing module, used for receiving parking information in each parking sub-area and processing the parking information;

[0046] The data analysis module is used to perform abnormal analysis on the processed data and determine whether there is a parking abnormality in each parking sub-area according to the abnormal analysis result; if so, a parking abnormality warning signal is issued; otherwise, no parking abnormality warning signal is issued;

[0047] The abnormality warning module is used to mark the position of the parking sub-area after receiving the abnormal parking warning signal, and execute the abnormal parking reminder strategy to send abnormality reminder information to the vehicles with abnormal parking in the parking sub-area.

[0048] Beneficial effects of the present invention:

[0049] (1) The present invention utilizes surveillance cameras arranged in the parking area to monitor the parked vehicles in each parking sub-area, obtain parking information in real time, process and analyze the parking information, and then evaluate it, thereby determining the parking status of each vehicle, so as to determine in advance whether there is any parking abnormality, and be able to determine potential parking abnormalities, prevent parking obstacles for new vehicles, and improve the overall parking efficiency of vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention will be further described below in conjunction with the accompanying drawings.

[0051] Figure 1 It is a diagram of the method steps of the present invention;

[0052] Figure 2 It is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] See also Figure 1-Figure 2 As shown, the present invention is a parking abnormality reminder system and method based on sampling data analysis, a parking abnormality reminder method based on sampling data analysis, comprising:

[0055] S1: Divide the parking area into a plurality of parking sub-areas, each of which is equipped with at least one set of surveillance cameras to obtain parking information in the parking sub-areas in real time;

[0056] S2: receiving parking information in each parking sub-area and processing the parking information;

[0057] S3: Performing an abnormality analysis on the processed data, and judging whether there is a parking abnormality in each parking sub-area according to the abnormality analysis result; if so, issuing a parking abnormality warning signal, otherwise, not issuing a parking abnormality warning signal;

[0058] S4: After receiving the abnormal parking warning signal, the parking area management system background marks the location of the parking sub-area, executes the abnormal parking reminder strategy, and sends abnormal reminder information to the vehicles with abnormal parking in the parking sub-area.

[0059] In this embodiment, a method for abnormal parking reminder is provided, which uses surveillance cameras arranged in the parking area to monitor parked vehicles in each parking sub-area, obtains parking information in real time, processes and analyzes the parking information, and then evaluates it, so as to judge the parking status of each vehicle, so as to judge in advance whether there is a parking abnormality, and can judge potential parking abnormalities, prevent parking obstacles for new vehicles, and improve the overall parking efficiency of vehicles.

[0060] When entering the parking area, the vehicle automatic parking system communicates with the parking area management system; when leaving the parking area, the vehicle system disconnects from the parking area management system. The communication connection can be achieved through wireless communication technology, such as Wi-Fi, Bluetooth, near-field communication NFC or a dedicated low-frequency communication protocol; the above communication technologies are all existing technical means and will not be described in detail here.

[0061] The parking information includes the length of the vehicle , the straight-line distance data between the driver's door handle and the parking space line , the straight-line distance data between the passenger door handle and the parking space line And parking space length data ;

[0062] The process of processing parking information includes:

[0063] The image information of the vehicle in the parking space is obtained through the monitoring camera, and the image information is transmitted to the trained neural network model to output the angle data between the center line of the vehicle and the center line of the parking space length. ;

[0064] By formula: Calculate the parking assessment coefficient for each vehicle ,in, is the unit elimination coefficient.

[0065] Through the above implementation, the length of the vehicle , the straight-line distance data between the driver's door handle and the parking space line , the straight-line distance data between the front passenger door handle and the parking space line And parking space length data Collect the parking evaluation coefficients of each vehicle according to the established calculation model. According to the parking assessment coefficient The parking status is judged by the size of the parking assessment coefficient. Obviously, the larger the parking assessment coefficient, the more appropriate the parking position of the vehicle is. According to the formula, it can be clearly seen that the larger the angle between the center line of the vehicle and the center line of the parking space length, the greater the tilt of the vehicle, and the smaller the parking assessment coefficient. The smaller the length, the more likely it is that the vehicle will be offside and the space of the adjacent parking space will be compressed, making it difficult to open the driver's seat after the new vehicle enters the parking space; the smaller the length of the parked vehicle, the easier it is to park in the appropriate position; The smaller the difference, the closer the vehicle is to the center after parking; offside means crossing the current parking space; when the length of the vehicle exceeds the length of the parking space, it means that the vehicle objectively needs to cross two parking spaces, so the formula The above formula can be used to timely feedback the evaluation status after parking, and then the vehicle management system can be notified in time to make parking adjustments when the vehicle is not turned off.

[0066] The process of performing anomaly analysis on the processed data and determining whether there is parking anomaly in each parking sub-area includes:

[0067] Get the number of parking spaces in each parking sub-area and number of vehicles ;

[0068] The parking sub-area where the number of vehicles is less than the number of parking spaces is marked as a parking area, otherwise it is marked as a full area;

[0069] Perform abnormal analysis on the parking area through the formula: Calculate the first Abnormal index of parking area ;

[0070] in, ;

[0071] The abnormal index obtained With preset threshold Make a comparison;

[0072] like , it is determined that there is a parking abnormality in the parking area and an abnormality warning signal is issued;

[0073] like , then it is judged that parking in the parking area is normal;

[0074] in, The ratio of vehicles with internship signs to the number of parking spaces in the current parking area; is the parking difficulty coefficient of the current parking area, is the ratio of vehicles driven by women to the number of parking spaces in the current parking area, , and It is a preset proportional coefficient, which is selected and determined based on historical data and experience data.

[0075] In this embodiment, a method for determining the status of a parking sub-area is provided. Specifically, a fully occupied parking sub-area is removed from the current queue, and only the available parking area is displayed, thereby reducing the situation where new vehicles enter a fully occupied parking area, resulting in unnecessary detours and re-searching for parking spaces. At the same time, the available parking area with more empty parking spaces can be preferentially recommended according to the ranking of abnormality indexes. Compared with the available parking area with one or a few empty parking spaces, the more empty parking spaces there are, the lower the parking difficulty and the shorter the parking time. And through the formula: Calculate the first Abnormal index of parking area ;

[0076] in, ; Through the above formula, the internship signs in the parking area, the gender of the parking driver and the parking difficulty coefficient are associated with the parking assessment coefficient of each vehicle to be modeled, and the abnormal index of the entire parking area is obtained by summing up. Obviously, the greater the proportion of vehicles with internship signs, the greater the abnormal index; the greater the parking difficulty coefficient, the greater the abnormal index; the greater the proportion of vehicles driven by women, the greater the abnormal index; the smaller the parking assessment coefficient, the greater the abnormal index, which comprehensively improves the accuracy of judging parking abnormalities; and then the obtained abnormal index With preset threshold To compare; if , it is judged that there is a parking abnormality in the parking area and an abnormal warning signal is issued; if , it is judged that the parking in the parking area is normal; once there is a parking abnormality, a parking warning signal can be issued in time to shorten the time for parking readjustment.

[0077] Parking difficulty coefficient The acquisition process is: Based on the surveillance camera, the number of parking spaces in the current parking area is obtained in real time and number of vehicles The difference between , and plot the difference Curves of change over time ;

[0078] Get the difference based on historical data Standard change curve over time ;

[0079] By formula: Calculate the parking difficulty coefficient of the current parking area ;

[0080] in, is a reference value, obtained based on historical data; is the reference coefficient, which is selected and determined based on empirical data; is the total number of sampling periods; are the left and right endpoints of the sampling time; is the sum of the distances between two adjacent parked vehicles; is the reference value of the sum of the distances between two adjacent parked vehicles, determined based on empirical data; is the preset proportionality factor, determined based on empirical data

[0081] In this embodiment, a specific method for obtaining the parking difficulty coefficient is provided. Specifically, the formula Calculate the parking difficulty coefficient of the current parking area Obviously, during the sampling period, if the difference between the number of parking spaces and the number of vehicles changes more, it means that the difference state in the parking area is more unstable, indicating that the parking mobility in the parking area is larger and the overall parking difficulty is greater; and if there is a gap between two adjacent vehicles in the parking area, The larger the value, the more space is reserved for one of the two cars to open the door, and the other car's driving position must deviate too much to one side, making it more difficult to park in the adjacent parking space. The smaller it is, the smaller the distance between the two vehicles is, resulting in too little space for the driver's door of one of the vehicles, making it more difficult for the vehicle to leave. The above formula can more accurately reflect the overall difficulty coefficient in the parking area.

[0082] The process of establishing the parking abnormality reminder strategy includes:

[0083] During parking, the vehicle's automatic parking system will remind you of abnormalities during parking, and obtain the number of abnormal reminders during parking. ;

[0084] After parking is completed, the formula is: ; Calculate the parking abnormality score ;

[0085] is the vehicle temperature variation curve over time, To refer to the vehicle temperature change curve over time, it is obtained based on historical data, where the vehicle temperature information is obtained based on the temperature sensor of the vehicle posture; The detection period;

[0086] like , a first-level abnormal warning signal is issued;

[0087] Parking Abnormal Score The preset threshold range ;

[0088] like If it falls within the threshold range, a level 2 abnormal parking warning signal is issued;

[0089] like If the threshold value is exceeded, a level 3 abnormal parking warning signal will be issued;

[0090] like If it is below the threshold range, no warning will be issued.

[0091] Through the above technical solution, using the formula ; Calculate the parking abnormality score ; Then according to , a first-level abnormal warning signal is issued; the parking abnormality score value The preset threshold range ;

[0092] like If it falls within the threshold range, a level 2 abnormal parking warning signal is issued; If the threshold value is exceeded, a level 3 abnormal parking warning signal will be issued; If the temperature is below the threshold, no warning will be issued; thus forming a gradually upgraded abnormal warning strategy of level 1 abnormal warning, level 2 abnormal parking warning and level 3 abnormal parking warning; at the same time, combined with the temperature difference between the outdoor parking area and the indoor parking area, it reflects whether the vehicle has a high temperature risk, so as to promptly remind the owner to drive the outdoor vehicle indoors, which is especially suitable for new energy vehicles and can effectively reduce the risk of spontaneous combustion; the number of abnormal reminders during parking It reflects the driving proficiency of the vehicle driver. Obviously, the more times, the worse the driving proficiency, and the greater the possibility of abnormality after parking.

[0093] The process of executing the parking abnormality reminder strategy and sending abnormality reminder information to vehicles parked abnormally in the parking sub-area includes:

[0094] After receiving the first-level warning signal, the parking area management system backend sends a text message reminder to the vehicle management system that has not been turned off;

[0095] After receiving the second-level warning signal, the parking management system backend sends a text message reminder to the car owner;

[0096] After receiving the third-level warning signal, the parking management system background sends a signal to the management personnel. After receiving the information, the management personnel manually contact the car owner and perform subsequent car moving actions.

[0097] The parking abnormality reminder method further includes:

[0098] S5: Obtain the abnormal index of each parking area , each abnormal index Arrange in ascending order as a priority recommendation order to remind vehicles that have just entered the parking area to select a parking sub-area.

[0099] Through the above embodiment, the state after sorting according to the abnormal index is given, so as to serve as a reference for preferentially recommending vehicles newly entering the parking area to select a parking sub-area, thereby reducing the overall parking difficulty and improving the parking efficiency.

[0100] A parking abnormality reminder system based on sampling data analysis, comprising:

[0101] The data sampling module divides the parking area into a plurality of parking sub-areas, each of which is equipped with at least one set of surveillance cameras to obtain parking information in the parking sub-areas in real time;

[0102] A data processing module, used for receiving parking information in each parking sub-area and processing the parking information;

[0103] The data analysis module is used to perform abnormal analysis on the processed data and determine whether there is a parking abnormality in each parking sub-area according to the abnormal analysis result; if so, a parking abnormality warning signal is issued; otherwise, no parking abnormality warning signal is issued;

[0104] The abnormality warning module is used to mark the position of the parking sub-area after receiving the abnormal parking warning signal, and execute the abnormal parking reminder strategy to send abnormality reminder information to the vehicles with abnormal parking in the parking sub-area.

[0105] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A parking abnormality reminder method based on sampling data analysis, characterized in that: include: S1: Divide the parking area into a plurality of parking sub-areas, each of which is equipped with at least one set of surveillance cameras to obtain parking information in the parking sub-areas in real time; S2: receiving parking information in each parking sub-area and processing the parking information; S3: performing anomaly analysis on the processed data, and determining whether there is a parking anomaly in each parking sub-area according to the anomaly analysis result; If it exists, a parking abnormality warning signal is issued, otherwise, no parking abnormality warning signal is issued; S4: After receiving the abnormal parking warning signal, the parking area management system backend marks the location of the parking sub-area, executes the abnormal parking reminder strategy, and sends abnormal reminder information to the abnormally parked vehicles in the parking sub-area; When entering the parking area, the vehicle automatic parking system communicates with the parking area management system; when leaving the parking area, the vehicle system disconnects from the parking area management system; The parking information includes the length of the vehicle , the straight-line distance data between the driver's door handle and the parking space line , the straight-line distance data between the front passenger door handle and the parking space line And parking space length data ; The process of processing parking information includes: The image information of the vehicle in the parking space is obtained through the monitoring camera, and the image information is transmitted to the trained neural network model to output the angle data between the center line of the vehicle and the center line of the parking space length. ; By formula: ； Calculate the parking assessment coefficient for each vehicle ,in, is the unit coefficient; The process of performing anomaly analysis on the processed data and determining whether there is parking anomaly in each parking sub-area includes: Get the number of parking spaces in each parking sub-area and number of vehicles ; The parking sub-area where the number of vehicles is less than the number of parking spaces is marked as a parking area, otherwise it is marked as a full area; Perform abnormal analysis on the parking area, using the formula: ； Calculate the first Abnormal index of parking area ; in, ; The abnormal index obtained With preset threshold Make a comparison; like , it is determined that there is a parking abnormality in the parking area and an abnormality warning signal is issued; like , then it is judged that parking in the parking area is normal; in, The ratio of vehicles with internship signs to the number of parking spaces in the current parking area; is the parking difficulty coefficient of the current parking area, is the ratio of vehicles driven by women to the number of parking spaces in the current parking area, , and It is a preset proportionality factor, which is selected and determined based on historical data and empirical data; Parking difficulty coefficient The acquisition process is: Get the number of parking spaces in the current parking area in real time based on surveillance cameras and number of vehicles The difference between , and plot the difference Curves of change over time ; Get the difference based on historical data Standard change curve over time ; By formula: ； Calculate the parking difficulty coefficient of the current parking area ; in, is a reference value, obtained based on historical data; is the reference coefficient, which is selected and determined based on empirical data; is the total number of sampling periods; , are the left and right endpoints of the sampling time; is the sum of the distances between two adjacent parked vehicles; is the reference value of the sum of the distances between two adjacent parked vehicles, determined based on empirical data; , It is a preset proportionality coefficient, which is determined based on empirical data.

2. The parking abnormality reminder method based on sampling data analysis according to claim 1 is characterized in that: The process of establishing the parking abnormality reminder strategy includes: During parking, the vehicle's automatic parking system will remind you of abnormalities during parking, and obtain the number of abnormal reminders during parking. ; After parking is completed, the formula is: ; Calculate the parking abnormality score ; is the vehicle temperature variation curve over time, To refer to the vehicle temperature change curve over time, it is obtained based on historical data, where the vehicle temperature information is obtained based on the temperature sensor of the vehicle posture; , The detection period; like , a first-level abnormal warning signal is issued; Parking Abnormal Score The preset threshold range ; like If it falls within the threshold range, a level 2 abnormal parking warning signal is issued; like If the threshold value is exceeded, a level 3 abnormal parking warning signal will be issued; like If it is below the threshold range, no warning will be issued.

3. The parking abnormality reminder method based on sampling data analysis according to claim 1 is characterized in that: The process of executing the parking abnormality reminder strategy and sending abnormality reminder information to vehicles parked abnormally in the parking sub-area includes: After receiving the first-level warning signal, the parking area management system backend sends a text message reminder to the vehicle management system that has not been turned off; After receiving the second-level warning signal, the parking management system backend sends a text message reminder to the car owner; After receiving the third-level warning signal, the parking management system background sends a signal to the management personnel. After receiving the information, the management personnel manually contact the car owner and perform subsequent car moving actions.

4. The parking abnormality reminder method based on sampling data analysis according to claim 1 is characterized in that: The parking abnormality reminder method further includes: S5: Obtain the abnormal index of each parking area , each abnormal index Arrange in ascending order as a priority recommendation order to remind vehicles that have just entered the parking area to select a parking sub-area.

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