Charging pile parking space intelligent identification management system and method

Abstract

The invention provides a charging pile parking space intelligent identification management system and method, and belongs to the technical field of parking space management, and the method specifically comprises the steps: determining the size data of a vehicle based on the identification result of the vehicle, and combining the historical rubbing data of different available charging parking spaces under different vehicle sizes, the method comprises the following steps: determining scratch risk coefficients of different available charging parking spaces and secondary screening parking spaces, determining low-occupancy-probability parking spaces in the secondary screening parking spaces according to analysis results of traffic flow data of peripheral areas of the different secondary screening parking spaces, determining distribution data of the secondary screening parking spaces of the peripheral areas of the different low-occupancy-probability parking spaces, and determining a charging risk coefficient of the different available charging parking spaces according to the distribution data of the secondary screening parking spaces. And recommendation processing of the charging pile parking space of the vehicle is carried out in combination with the rubbing risk coefficients of different secondary screening parking spaces, so that the rubbing risk of the vehicle in the charging processing process is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of parking space management, and in particular relates to an intelligent identification management system and method for charging pile parking spaces. Background Art

[0002] In order to realize the identification and management of parking spaces with charging piles, the location of the optimal charging pile and the location information of the optimal vacant parking space are determined in the invention patent application CN202410283591.1 "Parking Space Management Method, Device, Computer Equipment and Storage Medium with Charging Pile", and the path indication information is generated in a targeted manner, so that the vehicle is parked at the position corresponding to the path indication information, thereby realizing effective management of parking spaces and dispatching charging piles to avoid the problem that new energy vehicles cannot find charging piles for charging. However, the above technical solutions all have the following technical problems:

[0003] In the process of identifying and processing charging pile parking spaces, due to the differences in the locations of parking spaces, the risks of vehicle scratches vary when facing new energy vehicles of different sizes. Therefore, how to match charging pile parking spaces according to the size data of new energy vehicles to reduce the risk of vehicle scratches has become a technical problem that needs to be solved urgently.

[0004] In response to the above technical problems, the present application specifically provides a charging pile parking space intelligent identification management system and method. Summary of the invention

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

[0006] In a first aspect, the present application provides a method for intelligent identification and management of charging pile parking spaces, specifically comprising:

[0007] S1 determines the vacant parking spaces among the charging pile parking spaces based on the identification results of the charging pile parking spaces, determines the charging power of the vehicle based on the identification results of the vehicle, and determines the available charging parking spaces among the vacant parking spaces based on the charging powers of the charging piles in different vacant 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 scratch risk coefficients of different available charging parking spaces and secondary screening of parking spaces in combination with historical scratch data of different available charging parking spaces under different vehicle sizes;

[0009] S3 determines a low occupancy probability parking space among the secondary screening parking spaces based on the analysis results of the traffic flow data of the surrounding areas of different secondary screening parking spaces;

[0010] S4 determines the distribution data of secondary screening parking spaces in the surrounding areas of different low occupancy probability parking spaces, and recommends charging pile parking spaces for vehicles based on the scratch risk coefficients of different secondary screening parking spaces.

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

[0012] Based on the vehicle size data and the historical scratch data of different available charging parking spaces under different vehicle sizes, the scratch risk coefficients of different available charging parking spaces are determined, and the historical scratch data of the available charging parking spaces are used to evaluate the risk of vehicle scratches in the parking area. At the same time, the vehicle size data is further combined to fully consider the impact of the scratch risk caused by the vehicle size, thereby realizing the screening of charging pile parking spaces with larger parking areas and less scratch risk.

[0013] The distribution data of secondary screening parking spaces in the surrounding areas of different low occupancy probability parking spaces and the scratch risk coefficients of different secondary screening parking spaces are used to recommend charging pile parking spaces for vehicles. This not only takes the occupancy probability of the parking space into consideration to avoid empty running as much as possible, but also further combines the distribution data of secondary screening parking spaces and the scratch risk coefficient to achieve comprehensive consideration of the availability of surrounding charging pile parking spaces once the low occupancy probability parking space is occupied, thereby improving the reliability of vehicle charging processing and the efficiency of searching processing.

[0014] A further technical solution is that the vacant parking spaces in the charging pile parking spaces are determined based on the recognition results of the camera device or the geomagnetic device of the charging pile parking spaces.

[0015] A further technical solution is that the abnormal data of the charging power interval is determined based on data of abnormal charging stop in different charging power intervals.

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

[0017] A further technical solution is that the method for determining the available charging parking spaces among the vacant parking spaces is as follows:

[0018] Determine the charging time of the vacant parking space based on the charging power of the vehicle and the charging power of the charging pile of the vacant parking space;

[0019] Based on the charging power of the vehicle and the charging power of the charging pile of the vacant parking space, determine a matching charging power interval for the vacant parking space when charging the vehicle, and based on abnormal data of the matching charging power interval, determine the number of abnormalities of the matching charging power interval;

[0020] Based on the charging duration and the number of abnormalities of the idle parking spaces, available charging parking spaces among the idle parking spaces are determined.

[0021] A further technical solution is that the available charging parking space is an idle parking space whose charging time and number of exceptions meet the requirements.

[0022] A further technical solution is to recommend a charging station parking space for the vehicle, 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 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 based on the preset availability coefficient corresponding to the number of secondary screening parking spaces;

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

[0025] The parking space adaptation value of the low occupancy probability parking space is determined by using the ratio of the parking space availability coefficient to the risk coefficient average value, and the charging pile parking space of the vehicle is recommended according to the parking space adaptation value.

[0026] A further technical solution is to recommend a charging pile parking space for the vehicle 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 a recommendation target, and a charging pile parking space recommendation process is performed for the vehicle.

[0028] In a second aspect, the present invention provides a charging pile parking space intelligent identification management system, which adopts the above-mentioned charging pile parking space intelligent identification management method, specifically comprising:

[0029] Available parking space identification module, parking space screening module, recommendation processing module;

[0030] The available parking space identification module is responsible for determining the available charging parking spaces among the free parking spaces;

[0031] The parking space screening module is responsible for determining the low occupancy probability parking spaces among the available charging parking spaces;

[0032] The recommendation processing module is responsible for recommending charging pile parking spaces for vehicles based on the low occupancy probability parking spaces.

[0033] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0034] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0036] Figure 1 It is a flow chart of a method for intelligent identification and management of charging pile parking spaces;

[0037] Figure 2 is a flow chart of a method for determining an available charging parking space among vacant parking spaces;

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

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

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

[0041] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0042] In this application, the historical scratch data of idle charging piles is used to determine the scratch risk under the current vehicle body size, and idle charging piles with lower scratch risks are recommended to reduce the scratch risk of the vehicle during the charging process.

[0043] The vacant parking space is determined based on 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 in the vacant parking space, the charging power range of the vehicle when using the charging pile in the vacant parking space is determined, and it is used as the matching power range. When the number of abnormal charging times of the charging pile in the vacant parking space in the matching power range is less than 5 times, the vacant parking space is determined to be an available charging parking space.

[0045] The vehicle size corresponding to the number of scratches is used to determine the number of scratches when the vehicle size is less than or the deviation from the size data of the vehicle is within a preset deviation range, and this number is used as the matching number of scratches. The number of historical charging times when the vehicle size is less than or the deviation from the size data of the vehicle is within a preset deviation range is used as the matching number of charging times. According to the ratio of the matching number of scratches to the matching number of charging times, the scratch risk coefficient of the available charging parking space is determined, and the available charging parking spaces with a scratch risk coefficient less than 0.3 are used as secondary screening parking spaces.

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

[0047] When the low occupancy probability parking spaces with the largest number of secondary screening parking spaces in the surrounding area are taken as recommendation targets, the charging pile parking spaces for the vehicles are recommended.

[0048] Example 1

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

[0050] S1 determines the vacant parking spaces among the charging pile parking spaces based on the identification results of the charging pile parking spaces, determines the charging power of the vehicle based on the identification results of the vehicle, and determines the available charging parking spaces among the vacant parking spaces based on the charging powers of the charging piles in different vacant parking spaces and the abnormal data in different charging power intervals;

[0051] Furthermore, the vacant parking spaces in the charging pile parking spaces are determined based on the recognition results of the camera device or the geomagnetic device of the charging pile parking spaces.

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

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

[0054] It is understandable that if Figure 2 As shown, the method for determining the available charging parking spaces in the idle parking spaces is:

[0055] Determine the charging time of the vacant parking space based on the charging power of the vehicle and the charging power of the charging pile of the vacant parking space;

[0056] Based on the charging power of the vehicle and the charging power of the charging pile of the vacant parking space, determine a matching charging power interval for the vacant parking space when charging the vehicle, and based on abnormal data of the matching charging power interval, determine the number of abnormalities of the matching charging power interval;

[0057] Based on the charging duration and the number of abnormalities of the idle parking spaces, available charging parking spaces among the idle parking spaces are determined.

[0058] Furthermore, the available charging parking space is an idle parking space whose charging time and number of exceptions meet the requirements.

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

[0060] Based on the charging power of the vehicle and the charging power of the charging pile in the vacant parking space, the charging time of the vacant parking space is determined, and the charging time is used to match the vacant parking space with the charging pile;

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

[0062] Based on the number of abnormalities of the charging matching parking spaces, an available charging parking space among the charging matching parking spaces is determined.

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

[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 spaces among the idle parking spaces is:

[0066] S11 determines the charging time of the vacant parking space based on the charging power of the vehicle and the charging power of the charging pile of the vacant parking space, and determines the charging matching coefficient of the vacant parking space using the charging time;

[0067] Optionally, the above step S11 includes the following contents:

[0068] S111 determines the charging time 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 time of the idle parking space is not less than the preset charging time, it is determined that the idle parking space does not belong to the available charging parking space. When the charging time of the idle parking space is less than the preset charging time, the process proceeds to step S112.

[0069] S112 uses the charging time to determine the charging matching coefficient of the vacant parking space and proceeds to step S12.

[0070] S12 determines the number of abnormalities of the idle parking space based on 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 based on the charging power of the vehicle and the charging power of the charging pile of the idle parking space, and determines the charging abnormality matching coefficient of the idle parking space based on the endpoint deviations of the charging power intervals corresponding to different abnormal times and the matching charging power interval and the number of abnormalities in the matching charging power interval;

[0071] Optionally, the above step S12 includes the following contents:

[0072] S121 determines the number of abnormalities of the idle parking space based on the abnormal data of the idle parking space in different charging power intervals. When the number of abnormalities 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. When the number of abnormalities of the idle parking space meets the requirement, it proceeds to step S122;

[0073] S122 determines the matching charging power interval of the vacant parking space when charging the vehicle based on the charging power of the vehicle and the charging power of the charging pile of the vacant parking space. When the number of abnormalities in the matching charging power interval does not meet the requirement, it is determined that the vacant parking space does not belong to the available charging parking space. When the number of abnormalities in the matching charging power interval meets the requirement, the process proceeds to step S123.

[0074] S123: When the number of abnormalities of the vacant parking space is within the preset abnormal number interval and the number of abnormalities in the matching charging power interval is within the preset abnormal number range, it is determined that the vacant parking space belongs to an available charging parking space; when the number of abnormalities of the vacant parking space is not within the preset abnormal number interval or the number of abnormalities in the matching charging power interval is not within the preset abnormal number range, proceed to step S124;

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

[0076] S13 determines the comprehensive matching coefficient of the idle parking spaces based on the abnormal charging matching coefficient of the idle parking spaces and the average value of the charging matching coefficient, and determines the available charging parking spaces among the idle parking spaces using the comprehensive matching coefficient.

[0077] Furthermore, the available charging parking space is an idle parking space whose comprehensive matching coefficient is within a preset parking space matching coefficient range.

[0078] S2 determines the size data of the vehicle based on the identification result of the vehicle, and determines the scratch risk coefficients of different available charging parking spaces and secondary screening of parking spaces in combination with historical scratch data of different available charging parking spaces under different vehicle sizes;

[0079] Furthermore, the dimension data of the vehicle includes the width and length of the vehicle.

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

[0081] It is understandable that if Figure 3 As shown, the method for determining the scratch risk coefficient of the available charging parking space is:

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

[0083] Determine the number of scratches when the vehicle size is smaller than or the deviation from the size data of the vehicle is within a preset deviation range based on the vehicle size corresponding to the number of scratches, and use it as the matching number of scratches;

[0084] The scratch risk coefficient of the available charging parking space is determined according to the matching scratch number.

[0085] Further, determining the scratch risk coefficient of the available charging parking space according to the matched scratch times specifically includes:

[0086] The number of historical charging times when the vehicle size is smaller than or the deviation from the size data of the vehicle is within a preset deviation range is used as the matching charging times;

[0087] The scratch risk coefficient of the available charging parking space is determined according to the ratio of the matching scratch number to the matching charging number.

[0088] It should be noted that the secondary screening parking spaces are available charging parking spaces whose scratch risk coefficient is less than a preset risk coefficient.

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

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

[0091] Determining risk factors for different numbers of scratches based on deviations between the vehicle size corresponding to the number of scratches and the size data of the vehicle;

[0092] The scratch risk coefficient of the available charging parking space is determined according to the sum of the risk coefficients of different scratch times.

[0093] Furthermore, the risk coefficient of the number of scratches is determined based on a preset risk coefficient corresponding to a deviation interval between a vehicle size corresponding to the number of scratches and size data of the vehicle.

[0094] S3 determines a low occupancy probability parking space among the secondary screening parking spaces based on the analysis results of the traffic flow data of the surrounding areas of different secondary screening parking spaces;

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

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

[0097] Determine the traffic volume of the surrounding area within a recent preset time period based on the analysis result of the traffic volume data of the surrounding area of ​​the secondary screening parking space;

[0098] Whether the secondary screening parking space is a low occupancy probability parking space is determined based on the traffic volume of the surrounding area within a recent preset time period.

[0099] It should be noted that when the traffic volume in the surrounding area within the most recent preset time period is less than the preset number of vehicles, the secondary screening parking space is determined to be a low occupancy probability parking space.

[0100] S4 determines the distribution data of secondary screening parking spaces in the surrounding areas of different low occupancy probability parking spaces, and recommends charging pile parking spaces for vehicles based on the scratch risk coefficients of different secondary screening parking spaces.

[0101] It should be noted that the recommended processing of the charging pile parking space for the vehicle specifically includes:

[0102] 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 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 based on the preset availability coefficient corresponding to the number of secondary screening parking spaces;

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

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

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

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

[0107] Optionally, a recommendation process for a charging pile parking space for the vehicle is performed, specifically including:

[0108] When it is determined that there is no secondary screening parking space 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, it is determined that the low occupancy probability parking space cannot be used as a recommendation target for recommending a charging pile parking space for the vehicle;

[0109] When there are secondary screening parking spaces in the surrounding area of ​​the low occupancy probability parking space:

[0110] Determine the number of secondary screening parking spaces in the surrounding area of ​​the low occupancy probability parking space, and when the number of the secondary screening parking spaces is less than the preset number of screening parking spaces, determine that the low occupancy probability parking space cannot be used as a recommendation target for recommending a charging pile parking space for the vehicle;

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

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

[0113] Based on the distances between different secondary screening parking spaces and the low occupancy probability parking space, when it is determined that the distances between 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 used as a recommended target for recommendation processing of a charging pile parking space for the vehicle;

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

[0115] Based on the distances between different secondary screening parking spaces and the low occupancy probability parking spaces and the scratch risk coefficients of different secondary screening parking spaces, the availability coefficients of different secondary screening parking spaces are determined. When the availability coefficients of different secondary screening parking spaces are all less than a preset availability coefficient threshold, it is determined that the low occupancy probability parking spaces cannot be used as recommendation targets for the recommendation of charging pile parking spaces for vehicles.

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

[0117] The parking space availability coefficient of the low occupancy probability parking space is determined by using the preset availability coefficient corresponding to the number of secondary screening parking spaces, and the average value of the scratch risk coefficients of different secondary screening parking spaces is used as the mean risk coefficient. The parking space adaptation value of the low occupancy probability parking space is determined by using the ratio of the parking space availability coefficient of the low occupancy probability parking space to the mean risk coefficient, and the charging pile parking space for the vehicle is recommended based on the parking space adaptation value.

[0118] Example 2

[0119] Second, as Figure 5 As shown, the present invention provides a charging pile parking space intelligent identification management system, which adopts the above-mentioned charging pile parking space intelligent identification management method, specifically including:

[0120] Available parking space identification module, parking space screening module, recommendation processing module;

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

[0122] The parking space screening module is responsible for determining the low occupancy probability parking spaces among the available charging parking spaces;

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

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

[0125] Determining the number of scratches under different vehicle sizes based on the historical scratch data of the available charging parking space, and when the number of scratches is greater than a preset number of scratches, determining that the available charging parking space does not belong to the secondary screening parking space;

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

[0127] When it is determined that there is a number of scratches where the vehicle size is smaller than or has a deviation from the vehicle size data within a preset deviation range based on the deviation between the vehicle size corresponding to the number of scratches and the vehicle size data:

[0128] The number of scratches when the vehicle size is smaller than or the deviation from the size data of the vehicle is within a preset deviation range is used as the matching number of scratches, and when the matching number of scratches does not meet the requirement, it is determined that the available charging parking space does not belong to the secondary screening parking space;

[0129] The number of historical charging times when the vehicle size is smaller than or the deviation from the size data of the vehicle is within a preset deviation range is used as the matching charging times;

[0130] Based on the ratio of the matching number of scratches to the matching number of charging times and the matching number of scratches, a basic scratch risk coefficient is determined. When the basic scratch risk coefficient does not meet the requirement, it is determined that the available charging parking space does not belong to the secondary screening parking space;

[0131] When there is no vehicle size smaller than or with a deviation from the vehicle size data within a preset deviation range, and the number of scratches or the basic scratch risk coefficient meets the requirements:

[0132] Determine the risk coefficients of different numbers of scratches based on the deviation between the vehicle size corresponding to the number of scratches and the size data of the vehicle, and take the number of scratches with a risk coefficient greater than a preset risk coefficient threshold as the number of risk scratches. When the sum of the risk coefficients of the number of risk scratches does not meet the requirements, determine that the available charging parking space does not belong to the secondary screening parking space;

[0133] When the sum of the risk coefficients of the risk scratch times meets the requirements:

[0134] The scratch risk coefficient of the available charging parking space is determined according to the sum of the risk coefficients of different scratch times.

[0135] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences 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 partial description of the method embodiment.

[0136] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0137] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A charging pile parking space intelligent identification and management method, characterized in that: Specifically include: Determine the vacant parking spaces among the charging pile parking spaces based on the identification results of the charging pile parking spaces, determine the charging power of the vehicle based on the identification results of the vehicle, and determine the available charging parking spaces among the vacant parking spaces based on the charging powers of the charging piles in different vacant parking spaces and the abnormal data in different charging power intervals; Determine the size data of the vehicle based on the recognition result of the vehicle, and determine the scratch risk coefficients of different available charging parking spaces and secondary screening of parking spaces in combination with historical scratch data of different available charging parking spaces under different vehicle sizes; Determine a low occupancy probability parking space among the secondary screening parking spaces based on the analysis results of the traffic flow data of the surrounding areas of different secondary screening parking spaces; The distribution data of secondary screening parking spaces in the surrounding areas of different low occupancy probability parking spaces are determined, and the charging pile parking spaces for vehicles are recommended based on the scratch risk coefficients of different secondary screening parking spaces.

2. The charging pile parking space intelligent identification and management method according to claim 1, characterized in that: The vacant parking spaces in the charging pile parking spaces are determined based on the recognition results of the camera device or the geomagnetic device of the charging pile parking spaces.

3. The charging pile parking space intelligent identification and management method according to claim 1, characterized in that: The abnormal data of the charging power section is determined based on data of abnormal charging stop in different charging power sections.

4. The charging pile parking space intelligent identification and management method according to claim 1, characterized in that: The abnormal data of the charging power interval includes the number of abnormalities in the charging power interval.

5. The charging pile parking space intelligent identification and management method according to claim 1, characterized in that: The method for determining the available charging parking spaces among the idle parking spaces is as follows: Determine the charging time of the vacant parking space based on the charging power of the vehicle and the charging power of the charging pile of the vacant parking space; Based on the charging power of the vehicle and the charging power of the charging pile of the vacant parking space, determine a matching charging power interval for the vacant parking space when charging the vehicle, and based on abnormal data of the matching charging power interval, determine the number of abnormalities of the matching charging power interval; Based on the charging duration and the number of abnormalities of the idle parking spaces, available charging parking spaces among the idle parking spaces are determined.

6. The charging pile parking space intelligent identification and management method according to claim 5, characterized in that: The available charging parking spaces are vacant parking spaces whose charging time and abnormal number meet the requirements.

7. The charging pile parking space intelligent identification and management method according to claim 1, characterized in that: The method for determining the scratch risk coefficient of the available charging parking space is: Determining the number of scratches for different vehicle sizes based on the historical scratch data of the available charging parking space; Determining risk factors for different numbers of scratches based on deviations between the vehicle size corresponding to the number of scratches and the size data of the vehicle; The scratch risk coefficient of the available charging parking space is determined according to the sum of the risk coefficients of different scratch times.

8. The charging pile parking space intelligent identification and management method according to claim 7, characterized in that: The risk coefficient of the number of scratches is determined based on a preset risk coefficient corresponding to a deviation interval between a vehicle size corresponding to the number of scratches and the size data of the vehicle.

9. The charging pile parking space intelligent identification and management method according to claim 1, characterized in that: The surrounding area is an area whose distance from the secondary screening parking space is within a preset distance interval.

10. A charging pile parking space intelligent identification management system, using a charging pile parking space intelligent identification management method according to any one of claims 1 to 9, characterized in that: Specifically include: Available parking space identification module, parking space screening module, recommendation processing module; The available parking space identification module is responsible for determining the available charging parking spaces among the free parking spaces; The parking space screening module is responsible for determining the low occupancy probability parking spaces among the available charging parking spaces; The recommendation processing module is responsible for recommending charging pile parking spaces for vehicles based on the low occupancy probability parking spaces.

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