A charging pile parking space intelligent identification management system and method

Abstract

The application provides a charging pile parking space intelligent identification management system and method, and belongs to the technical field of parking space management, and specifically comprises the following steps: determining size data of a vehicle based on an identification result of the vehicle, combining historical scratching data of different available charging parking spaces under different vehicle sizes, determining scratching risk coefficients of the different available charging parking spaces, and performing secondary screening of parking spaces; determining low-occupancy-probability parking spaces in the secondary screened parking spaces based on analysis results of traffic flow data of the surrounding areas of the different secondary screened parking spaces; determining distribution data of the secondary screened parking spaces in the surrounding areas of the different low-occupancy-probability parking spaces; and performing charging pile parking space recommendation processing for the vehicle in combination with the scratching risk coefficients of the different secondary screened parking spaces, so that the scratching risk of the vehicle in the charging process is reduced.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of parking space management, and particularly relates to a charging pile parking space intelligent identification management system and method. BACKGROUND

[0002] In order to realize the identification management of the parking space with the charging pile, the position information of the optimal charging pile and the optimal idle parking space is determined in the invention patent application CN202410283591.1 "Parking space management method and device with charging pile, computer equipment and storage medium", and the path indication information is generated accordingly, so that the vehicle is parked at the position corresponding to the path indication information, thereby the parking space can be effectively managed, and the charging pile can be dispatched, and the problem that the new energy vehicle cannot find the charging pile for charging is avoided, but the above technical solution has the following technical problems:

[0003] In the identification process of the charging pile parking space, due to the difference in the setting position of the parking space, the risk of vehicle scratching exists when facing new energy vehicles of different sizes, so how to match the charging pile parking space according to the size data of the new energy vehicle to reduce the risk of vehicle scratching becomes a technical problem to be solved.

[0004] In view of the above technical problems, the application provides a charging pile parking space intelligent identification management system and method. SUMMARY

[0005] To achieve the purpose of the application, the application adopts the following technical solutions:

[0006] In the first aspect, the application provides a charging pile parking space intelligent identification management method, which specifically includes:

[0007] S1 determines the idle parking space in the charging pile parking space according to the identification result of the charging pile parking space, determines the charging power of the vehicle according to the identification result of the vehicle, and determines the available charging parking space in the idle parking space by combining the charging power of the charging pile of the different idle parking spaces and the abnormal data in different charging power intervals;

[0008] S2 determines the size data of the vehicle based on the identification result of the vehicle, and determines the scratching risk coefficient of the different available charging parking spaces and the secondary screening parking space by combining the historical scratching data of the different available charging parking spaces under different vehicle sizes;

[0009] S3 determines the low occupancy probability parking space in the different secondary screening parking spaces according to the analysis result of the traffic flow data of the surrounding area of the different secondary screening parking spaces;

[0010] S4 determines the distribution data of the secondary screening parking spaces in the surrounding area of the different low occupancy probability parking spaces, and combines the different secondary screening parking space scraping risk coefficients to perform the recommendation processing of the charging pile parking spaces of the vehicle.

[0011] The beneficial effects of the present application are:

[0012] Based on the size data of the vehicle, the historical scraping data of different available charging parking spaces under different vehicle sizes, the scraping risk coefficients of different available charging parking spaces are determined, so that the historical scraping data of the available charging parking spaces is used to evaluate the risk of vehicle scraping in the parking area, and the size data of the vehicle is further combined to fully consider the influence of the size of the vehicle on the scraping risk, and the charging pile parking spaces with large parking area and small scraping risk in the parking area are screened.

[0013] The recommendation processing of the charging pile parking spaces of the vehicle is performed based on the distribution data of the secondary screening parking spaces in the surrounding area of the different low occupancy probability parking spaces and the scraping risk coefficients of the different secondary screening parking spaces, which not only considers the occupancy probability of the parking space to avoid the occurrence of empty running as much as possible, but also further combines the distribution data of the secondary screening parking spaces and the scraping risk coefficients to comprehensively consider the availability of the surrounding charging pile parking spaces once the low occupancy probability parking space is occupied, thereby improving the reliability and efficiency of the charging processing of the vehicle.

[0014] The further technical solution is that the idle parking spaces in the charging pile parking spaces are determined according to the recognition results of the camera device or the geomagnetic device of the charging pile parking spaces.

[0015] The further technical solution is that the abnormal data of the charging power interval is determined according to the data of the charging abnormal stop in different charging power intervals.

[0016] The further technical solution is that the abnormal data of the charging power interval includes the abnormal times of the charging power interval.

[0017] The further technical solution is that the determination method of the available charging parking spaces in the idle parking spaces is:

[0018] The charging duration of the idle parking spaces is determined based on the charging power of the vehicle and the charging power of the charging pile of the idle parking spaces.

[0019] The matching charging power interval of the idle parking spaces when performing the charging processing of the vehicle is determined based on the charging power of the vehicle and the charging power of the charging pile of the idle parking spaces, and the abnormal times of the matching charging power interval are determined based on the abnormal data of the matching charging power interval.

[0020] Determine the available charging parking space in the idle parking space based on the charging duration and the number of abnormalities of the idle parking space.

[0021] Further technical solutions are that the available charging parking space is the idle parking space that meets the requirements of charging duration and the number of abnormalities.

[0022] Further technical solutions are that the recommendation processing of the charging pile parking space of the vehicle is performed, specifically including:

[0023] Determine the number of secondary screening parking spaces in the surrounding area of the low-occupancy-probability parking space based on the distribution data of the secondary screening parking spaces in the surrounding area of the low-occupancy-probability parking space, and determine the parking space availability coefficient of the low-occupancy-probability parking space by using the preset availability coefficient corresponding to the number of secondary screening parking spaces.

[0024] The average value of the risk coefficient of different secondary screening parking spaces is taken as the risk coefficient mean value.

[0025] Determine the parking space adaptation value of the low-occupancy-probability parking space by using the ratio of the parking space availability coefficient of the low-occupancy-probability parking space to the risk coefficient mean value, and perform the recommendation processing of the charging pile parking space of the vehicle according to the parking space adaptation value.

[0026] Further technical solutions are that the recommendation processing of the charging pile parking space of the vehicle is performed according to the parking space adaptation value, specifically including:

[0027] The low-occupancy-probability parking space with the largest parking space adaptation value is taken as the recommendation target, and the recommendation processing of the charging pile parking space of the vehicle is performed.

[0028] In a second aspect, the application provides a charging pile parking space intelligent identification management system, which adopts the charging pile parking space intelligent identification management method described above, and specifically includes:

[0029] An available parking space identification module, a parking space screening module, and a recommendation processing module.

[0030] The available parking space identification module is responsible for determining the available charging parking space in the idle parking space.

[0031] The parking space screening module is responsible for determining the low-occupancy-probability parking space in the available charging parking space.

[0032] The recommendation processing module is responsible for performing the recommendation processing of the charging pile parking space of the vehicle based on the low-occupancy-probability parking space.

[0033] Other features and advantages will be described in the subsequent description, and the purposes and other advantages of the application are achieved and obtained by the structures specifically indicated in the description and the drawings.

[0034] In order to make the above objectives, characteristics and advantages of the present application more apparent, more comprehensible, the following preferred embodiments are specifically described in detail below, together with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0035] The above and other features and advantages of the present application will become more apparent by describing in detail example embodiments thereof with reference to the attached drawings.

[0036] Figure 1 is a flow chart of a charging pile parking space intelligent identification management method;

[0037] Figure 2 is a flow chart of a method for determining available charging parking spaces in idle parking spaces;

[0038] Figure 3 is a flow chart of a method for determining a scraping risk coefficient of an available charging parking space;

[0039] Figure 4 is a flow chart of a method for determining a low-occupancy-probability parking space in a secondary screening parking space;

[0040] Figure 5 is a framework diagram of a charging pile parking space intelligent identification management system. DETAILED DESCRIPTION

[0041] In order to make the technical solutions in the specification better understood by the person skilled in the art, the technical solutions in the specification will be described clearly and completely below in conjunction with the drawings in the specification. Obviously, the described embodiments are only some of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by the person skilled in the art without creative labor should be within the protection scope of the specification.

[0042] In the present application, the historical scraping data of idle charging piles is used to determine the scraping risk under the size of the current vehicle body, and the idle charging pile with less scraping risk is recommended for processing, thereby reducing the scraping risk of the vehicle during the charging process.

[0043] The idle parking space is determined according to the recognition result of the camera device of the charging pile parking space.

[0044] Based on the charging power of the vehicle and the charging power of the charging pile of the idle parking space, the charging power interval of the vehicle when using the charging pile of the idle parking space is determined as the matching power interval. When the number of abnormal charging times of the charging pile of the idle parking space in the matching power interval is less than 5 times, the idle parking space is determined as an available charging parking space.

[0045] The vehicle size corresponding to the number of scratches is determined, and the number of scratches is determined as a matching number of scratches when the deviation of the vehicle size from the size data of the vehicle is within a preset deviation range. The number of historical charges when the vehicle size is smaller than or deviates from the size data of the vehicle within a preset deviation range is taken as a matching number of charges. The scratch risk coefficient of the available charging parking space is determined according to the ratio of the matching number of scratches to the matching number of charges, and the available charging parking space with a scratch risk coefficient less than 0.3 is taken as a secondary screening parking space.

[0046] When the traffic volume of the surrounding area of the secondary screening parking space is less than a preset vehicle threshold within a preset time period, the secondary screening parking space is determined as a low-occupancy-probability parking space.

[0047] The low-occupancy-probability parking space with the largest number of secondary screening parking spaces in the surrounding area is taken as a recommended target for the charging pile parking space recommendation process of the vehicle.

[0048] Embodiment 1

[0049] As Figure 1 shown, the present application provides a first aspect, the present application provides a first aspect, the present application provides a kind of charging pile parking space intelligent identification management method, specifically including:

[0050] S1 determines the idle parking space in the charging pile parking space according to the identification result of the charging pile parking space, determines the charging power of the vehicle according to the identification result of the vehicle, and determines the available charging parking space in the idle parking space by combining the charging power of the charging pile of different idle parking spaces and the abnormal data in different charging power intervals.

[0051] Further, the idle parking space in the charging pile parking space is determined according to the identification result of the camera device or the geomagnetic device of the charging pile parking space.

[0052] Specifically, the abnormal data of the charging power interval is determined according to the data of the charging abnormal stop in different charging power intervals.

[0053] It should be noted that the abnormal data of the charging power interval includes the number of abnormal times in the charging power interval.

[0054] As Figure 2 can be understood, the method for determining the available charging parking space in the idle parking space is:

[0055] The charging time of the idle parking space is determined based on the charging power of the vehicle and the charging power of the charging pile of the idle parking space.

[0056] determine a matching charging power interval of the idle parking space when performing the charging process of the vehicle based on the charging power of the vehicle and the charging power of the charging pile of the idle parking space, and determine an abnormal number of the matching charging power interval based on abnormal data of the matching charging power interval;

[0057] determine an available charging parking space in the idle parking space based on the charging duration and the abnormal number of the idle parking space.

[0058] Further, the available charging parking space is an idle parking space that meets the requirements in terms of charging duration and abnormal number.

[0059] In another possible embodiment, the method for determining the available charging parking space in the idle parking space is:

[0060] determine the charging duration of the idle parking space based on the charging power of the vehicle and the charging power of the charging pile of the idle parking space, and determine a charging matching parking space in the idle parking space by using the charging duration;

[0061] determine an abnormal number of the charging matching parking space based on abnormal data of the charging matching parking space in different charging power intervals;

[0062] determine an available charging parking space in the charging matching parking space based on the abnormal number of the charging matching parking space.

[0063] Specifically, the charging matching parking space is an idle parking space with a charging duration less than a preset charging duration.

[0064] It should be noted that the available charging parking space is a charging matching parking space with an abnormal number less than a preset abnormal number.

[0065] Optionally, the method for determining the available charging parking space in the idle parking space is:

[0066] S11 determine the charging duration of the idle parking space based on the charging power of the vehicle and the charging power of the charging pile of the idle parking space, and determine a charging matching coefficient of the idle parking space by using the charging duration;

[0067] Optionally, the step S11 includes the following content:

[0068] S111 determine the charging duration of the idle parking space based on the charging power of the vehicle and the charging power of the charging pile of the idle parking space, when the charging duration of the idle parking space is not less than a preset charging duration, it is determined that the idle parking space does not belong to an available charging parking space, and when the charging duration of the idle parking space is less than the preset charging duration, go to step S112;

[0069] S112 determines the charging matching coefficient of the idle parking space according to the charging duration, and returns to step S12.

[0070] S12 determines the abnormal number of times of the idle parking space according to the abnormal data of the idle parking space in different charging power intervals, determines the matching charging power interval of the idle parking space when charging the vehicle according to the charging power of the vehicle and the charging power of the charging pile of the idle parking space, and determines the charging abnormal matching coefficient of the idle parking space based on the endpoint deviation of the charging power interval corresponding to the different abnormal number of times and the matching charging power interval and the abnormal number of times of the matching charging power interval.

[0071] Optionally, the following content is included in step S12:

[0072] S121 determines the abnormal number of times of the idle parking space according to the abnormal data of the idle parking space in different charging power intervals, and when the abnormal number of times of the idle parking space does not meet the requirement, it is determined that the idle parking space does not belong to the available charging parking space, and when the abnormal number of times of the idle parking space meets the requirement, it returns to step S122.

[0073] S122 determines the matching charging power interval of the idle parking space when charging the vehicle according to the charging power of the vehicle and the charging power of the charging pile of the idle parking space, and when the abnormal number of times of the matching charging power interval does not meet the requirement, it is determined that the idle parking space does not belong to the available charging parking space, and when the abnormal number of times of the matching charging power interval meets the requirement, it returns to step S123.

[0074] S123 determines that the idle parking space belongs to the available charging parking space when the abnormal number of times of the idle parking space is in the preset abnormal number of times interval and the abnormal number of times in the matching charging power interval is in the preset abnormal number of times range, and when the abnormal number of times of the idle parking space is not in the preset abnormal number of times interval or the abnormal number of times in the matching charging power interval is not in the preset abnormal number of times range, it returns to step S124.

[0075] S124 determines the charging abnormal matching coefficient of the idle parking space based on the endpoint deviation of the charging power interval corresponding to the different abnormal number of times and the matching charging power interval and the abnormal number of times of the matching charging power interval, and when the charging abnormal matching coefficient of the idle parking space is less than the preset matching coefficient threshold, it is determined that the idle parking space does not belong to the available charging parking space, and when the charging abnormal matching coefficient of the idle parking space is not less than the preset matching coefficient threshold, it returns to step S13.

[0076] S13 determines a comprehensive matching coefficient of the idle parking space based on the charging abnormal matching coefficient of the idle parking space and an average value of the charging matching coefficients, and determines the available charging parking space in the idle parking space by using the comprehensive matching coefficient.

[0077] Further, the available charging parking space is an idle parking space with a comprehensive matching coefficient within a preset parking space matching coefficient interval.

[0078] S2 determines size data of the vehicle based on the identification result of the vehicle, and determines a scratch risk coefficient of different available charging parking spaces and a second screening parking space by combining historical scratch data of different available charging parking spaces under different vehicle sizes.

[0079] Further, the size data of the vehicle includes the width and length of the vehicle.

[0080] It should be noted that the historical scratch data is determined according to the analysis result of the camera of the available charging parking space, and specifically includes the number of scratches under different vehicle sizes.

[0081] It can be understood that, as shown in the figure, Figure 3 the method for determining the scratch risk coefficient of the available charging parking space is:

[0082] determining the number of scratches under different vehicle sizes based on the historical scratch data of the available charging parking space;

[0083] determining the number of scratches corresponding to the vehicle size in which the deviation of the vehicle size from the size data of the vehicle is within a preset deviation range as a matching number of scratches;

[0084] determining the scratch risk coefficient of the available charging parking space according to the matching number of scratches.

[0085] Further, the method for determining the scratch risk coefficient of the available charging parking space according to the matching number of scratches specifically includes:

[0086] determining the number of historical charges in which the vehicle size is smaller than or deviates from the size data of the vehicle within a preset deviation range as a matching number of charges;

[0087] determining the scratch risk coefficient of the available charging parking space according to the ratio of the matching number of scratches to the matching number of charges.

[0088] It should be noted that the second screening parking space is an available charging parking space with a scratch risk coefficient less than a preset risk coefficient.

[0089] Optionally, the method for determining the scratch risk coefficient of the available charging parking space is:

[0090] determine the number of scratches at different vehicle sizes based on historical scratch data of the available charging parking space;

[0091] determine the risk coefficient of different numbers of scratches according to the deviation of the vehicle size corresponding to the number of scratches and the size data of the vehicle;

[0092] determine the scratch risk coefficient of the available charging parking space according to the sum of the risk coefficients of different numbers of scratches.

[0093] Further, the risk coefficient of the number of scratches is determined according to the preset risk coefficient corresponding to the deviation amount interval in which the deviation amount of the vehicle size corresponding to the number of scratches and the size data of the vehicle is located.

[0094] S3 determines the low-occupancy-probability parking space in the secondary screening parking space according to the analysis result of the traffic flow data of the surrounding area of the secondary screening parking space.

[0095] Further, the surrounding area is an area within a preset distance interval from the secondary screening parking space.

[0096] Specifically, as shown in Figure 4 the method for determining the low-occupancy-probability parking space in the secondary screening parking space is:

[0097] determine the traffic flow of the surrounding area of the secondary screening parking space within the nearest preset time length according to the analysis result of the traffic flow data of the surrounding area of the secondary screening parking space.

[0098] determine whether the secondary screening parking space is a low-occupancy-probability parking space based on the traffic flow of the surrounding area within the nearest preset time length.

[0099] It should be noted that when the traffic flow of the surrounding area within the nearest preset time length is less than a preset vehicle number, it is determined that the secondary screening parking space is a low-occupancy-probability parking space.

[0100] S4 determines the distribution data of the secondary screening parking space in the surrounding area of different low-occupancy-probability parking spaces, and combines the scratch risk coefficients of different secondary screening parking spaces to perform charging pile parking space recommendation processing for vehicles.

[0101] It should be noted that the charging pile parking space recommendation processing for vehicles specifically includes:

[0102] determine the number of secondary screening parking spaces in the surrounding area of the low-occupancy-probability parking space according to the distribution data of the secondary screening parking space in the surrounding area of the low-occupancy-probability parking space, and determine the parking space availability coefficient of the low-occupancy-probability parking space by using the preset availability coefficient corresponding to the number of secondary screening parking spaces;

[0103] The average value of the scratch risk coefficients of the different secondary screening parking spaces is taken as a risk coefficient average value;

[0104] The ratio of the parking space availability coefficient of the low-occupancy-probability parking space to the risk coefficient average value is used to determine a parking space adaptation value of the low-occupancy-probability parking space, and the charging pile parking space of the vehicle is recommended according to the parking space adaptation value.

[0105] Further, the recommendation of the charging pile parking space of the vehicle is performed according to the parking space adaptation value, and specifically includes:

[0106] The low-occupancy-probability parking space with the largest parking space adaptation value is taken as a recommendation target, and the recommendation of the charging pile parking space of the vehicle is performed.

[0107] Optionally, the recommendation of the charging pile parking space of the vehicle is performed, and specifically includes:

[0108] The distribution data of the secondary screening parking spaces in the surrounding area of the low-occupancy-probability parking space is used to determine that the surrounding area of the low-occupancy-probability parking space does not have a secondary screening parking space, and then it is determined that the low-occupancy-probability parking space cannot be taken as a recommendation target for the recommendation of the charging pile parking space of the vehicle.

[0109] When the surrounding area of the low-occupancy-probability parking space has a secondary screening parking space:

[0110] The number of the secondary screening parking spaces in the surrounding area of the low-occupancy-probability parking space is determined, and when the number of the secondary screening parking spaces is less than a preset screening parking space number, it is determined that the low-occupancy-probability parking space cannot be taken as a recommendation target for the recommendation of the charging pile parking space of the vehicle.

[0111] When the number of the secondary screening parking spaces is not less than the preset screening parking space number:

[0112] When the number of the secondary screening parking spaces is within a preset screening parking space number interval:

[0113] The distances between different secondary screening parking spaces and the low-occupancy-probability parking space are determined, and when the distances between the different secondary screening parking spaces and the low-occupancy-probability parking space are all greater than a preset distance threshold, it is determined that the low-occupancy-probability parking space cannot be taken as a recommendation target for the recommendation of the charging pile parking space of the vehicle.

[0114] When there is a secondary screening parking space with a distance from the low-occupancy-probability parking space not greater than the preset distance threshold

[0115] Based on the distance between different secondary screening parking spaces and the low occupancy probability parking spaces, as well as the scratch risk coefficient of different secondary screening parking spaces, the availability coefficient of different secondary screening parking spaces is determined. When the availability coefficient of different secondary screening parking spaces is less than the preset availability coefficient threshold, it is determined that the low occupancy probability parking space cannot be used as a recommendation target for vehicle charging station parking space recommendation.

[0116] When the number of parking spaces selected in the secondary screening is not within the preset range of the number of parking spaces selected, or when there are parking spaces selected in the secondary screening with an availability coefficient not less than the preset availability coefficient threshold:

[0117] The availability coefficient of the low-occupancy probability parking space is determined by using the preset availability coefficient corresponding to the number of parking spaces selected in the secondary screening. The average of the scratch risk coefficients of different secondary screening parking spaces is taken as the average risk coefficient. The parking space suitability value of the low-occupancy probability parking space is determined by using the ratio of the availability coefficient of the low-occupancy probability parking space to the average risk coefficient. The recommended charging pile parking space for the vehicle is then processed based on the parking space suitability value.

[0118] Example 2

[0119] Secondly, such as Figure 5 As shown, this invention provides an intelligent identification and management system for charging pile parking spaces, employing the aforementioned intelligent identification and management method for charging pile parking spaces, specifically including:

[0120] Available modules include parking space recognition, parking space filtering, and recommendation processing.

[0121] The available parking space identification module is responsible for determining the available charging parking spaces among the vacant parking spaces;

[0122] The parking space screening module is responsible for identifying low-occupancy-probability parking spaces among the available charging parking spaces.

[0123] The recommendation processing module is responsible for recommending charging station parking spaces for vehicles based on the low-occupancy probability parking spaces.

[0124] Optionally, the method for determining the scratch risk factor of the available charging parking space is as follows:

[0125] Based on the historical scratch data of the available charging parking spaces, the number of scratches under different vehicle sizes is determined. When the number of scratches is greater than the preset number of scratches, it is determined that the available charging parking space does not belong to the secondary screening parking space.

[0126] When the number of scrapes is not greater than the preset number of scrapes:

[0127] determine, according to the deviation of the vehicle size corresponding to the number of scratches from the size data of the vehicle, whether there is a number of scratches in which the vehicle size is less than or deviates from the size data of the vehicle within a preset deviation range, and if so:

[0128] take the number of scratches in which the vehicle size is less than or deviates from the size data of the vehicle within a preset deviation range as a matching number of scratches, and if the matching number of scratches does not meet the requirement, determine that the available charging parking space does not belong to the secondary screening parking space;

[0129] take the number of historical charges in which the vehicle size is less than or deviates from the size data of the vehicle within a preset deviation range as a matching number of charges;

[0130] determine a basic scratch risk coefficient based on the ratio of the matching number of scratches to the matching number of charges and the matching number of scratches, and if the basic scratch risk coefficient does not meet the requirement, determine that the available charging parking space does not belong to the secondary screening parking space;

[0131] if there is no number of scratches in which the vehicle size is less than or deviates from the size data of the vehicle within a preset deviation range or the basic scratch risk coefficient meets the requirement:

[0132] determine risk coefficients of different numbers of scratches according to the deviation of the vehicle size corresponding to the number of scratches from the size data of the vehicle, take the number of scratches whose risk coefficient is greater than a preset risk coefficient threshold as a risk number of scratches, and if the sum of the risk coefficients of the risk number of scratches does not meet the requirement, determine that the available charging parking space does not belong to the secondary screening parking space;

[0133] if the sum of the risk coefficients of the risk number of scratches meets the requirement:

[0134] determine a scratch risk coefficient of the available charging parking space according to the sum of the risk coefficients of different numbers of scratches.

[0135] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts of each embodiment can be referred to each other. Each embodiment mainly describes the difference from other embodiments. In particular, for the device, equipment and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0136] The above-described embodiments of the application have special structure and can achieve the desired results. Other embodiments can have different structures and achieve the same results. The purpose of the above-described embodiments is to illustrate the principles of the application and not to limit the scope of the application. The scope of the application is defined by the claims and their equivalents. Other embodiments are within the scope of the claims.

[0137] The above description is merely illustrative of the embodiments of the present application and is not intended to limit the scope of the present application. Various modifications can be made by those skilled in the art based upon the teachings disclosed herein. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application shall fall within the scope of the claims of the present application.

Claims

1. A charging pile parking space intelligent identification management method, characterized in that, Specifically comprising: The identification result of the charging pile parking space is used to determine the idle parking space in the charging pile parking space, the identification result of the vehicle is used to determine the charging power of the vehicle, and the charging power of the charging pile of different idle parking spaces and the abnormal data in different charging power intervals are combined to determine the available charging parking space in the idle parking space; The size data of the vehicle is determined based on the identification result of the vehicle, and the historical scratching data of different available charging parking spaces under different vehicle sizes is combined to determine the scratching risk coefficient of different available charging parking spaces. The available charging parking space with a scratching risk coefficient less than a preset risk coefficient is a secondary screening parking space; The analysis result of the traffic flow data of the surrounding area of different secondary screening parking spaces is used to determine the low-occupancy-probability parking space in the secondary screening parking space; The distribution data of the secondary screening parking space in the surrounding area of different low-occupancy-probability parking spaces is determined, and the charging pile parking space of the vehicle is recommended in combination with the scratching risk coefficient of different secondary screening parking spaces. 2.The method of claim 1, wherein, The idle parking space in the charging pile parking space is determined according to the identification result of the camera device or the geomagnetic device of the charging pile parking space. 3.The method of claim 1, wherein, The abnormal data of the charging power interval is determined according to the data of the charging abnormal stop in different charging power intervals. 4.The method of claim 1, wherein, The abnormal data of the charging power interval includes the abnormal times of the charging power interval. 5.The method of claim 1, wherein, The method for determining the available charging parking space in the idle parking space is: The charging duration of the idle parking space is determined based on the charging power of the vehicle and the charging power of the charging pile of the idle parking space; The matching charging power interval of the idle parking space when the charging process of the vehicle is performed is determined based on the charging power of the vehicle and the charging power of the charging pile of the idle parking space, the abnormal times of the matching charging power interval are determined based on the abnormal data of the matching charging power interval; The available charging parking space in the idle parking space is determined based on the charging duration and the abnormal times of the idle parking space. 6.The method of claim 5, wherein, The available charging parking space is the idle parking space that meets the requirements of charging duration and abnormal times.

7. The charging pile space intelligent identification management method of claim 1, wherein, The method for determining the scratching risk coefficient of the available charging parking space is: The scratching times under different vehicle sizes are determined based on the historical scratching data of the available charging parking space; The risk coefficient of different scratching times is determined based on the deviation of the vehicle size corresponding to the scratching times and the size data of the vehicle; The scratching risk coefficient of the available charging parking space is determined according to the sum of the risk coefficients of different scratching times. 8.The method of claim 7, wherein, The risk coefficient of the scratching times is determined according to the preset risk coefficient corresponding to the deviation interval of the amount of deviation of the vehicle size corresponding to the scratching times and the size data of the vehicle. 9.The charging pile spot intelligent identification management method of claim 1, wherein, The surrounding area is an area within a preset distance interval from the secondary screening parking space.

10. A charging pile parking space intelligent identification management system, adopting the charging pile parking space intelligent identification management method of any one of claims 1-9, characterized in that, Specifically comprising: An available parking space identification module, a parking space screening module, and a recommendation processing module; The available parking space identification module is responsible for determining the available charging parking space in the idle parking space; The parking space screening module is responsible for determining the low-occupancy-probability parking space in the available charging parking space; The recommendation processing module is responsible for recommending a charging pile parking space for a vehicle based on the low occupancy probability parking space.

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