Efficient parking charging guiding method and system

Abstract

The invention relates to an efficient parking charging guiding method and system. The method comprises the following steps: acquiring historical parking information, charging pile information and geographic position information of each parking lot, and analyzing parking distribution information of each parking lot in different time periods; based on the parking distribution information, the charging pile information and the geographical distribution information of each parking lot in different time periods, identifying parking prediction information of all parking lots in different time periods; based on the parking prediction information and the charging parking cost information of all the parking lots in different time periods, generating parking reservation recommendation information of all the parking lots; identifying a first vehicle of the parking charging reservation information and a second vehicle of the parking reservation information in the reservation information of each vehicle; and based on the actual parking information, the actual parking charging demand information and the charging parking cost information of each parking lot, deploying a target parking lot of each target vehicle with the current parking charging demand. By adopting the method, the vehicle parking charging efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the field of artificial intelligence and big data technology, and in particular to an efficient parking charging guidance method and system. Background Art

[0002] With economic development and the expansion of urban scale, the number of motor vehicles has increased rapidly, and the difficulty of parking has become a common and urgent livelihood issue. Whether it is a commercial area, a residential area or a public parking lot, the contradiction between the supply and demand of parking spaces has become increasingly prominent, which has brought great inconvenience to citizens' travel. In particular, electric vehicles not only need to park, but also need charging services when parking. Therefore, how to solve the inefficiency of parking and charging for electric vehicles is the current research focus.

[0003] The traditional parking and charging method is to reserve a parking space through a reservation program, and then manage the vehicle based on the reserved parking space. However, since the actual parking situation does not match the reservation situation, a large number of parking spaces are vacant, and vehicles that actually need parking cannot directly reserve the vehicle, resulting in low efficiency of vehicle parking and charging. Summary of the invention

[0004] Based on this, it is necessary to provide an efficient parking charging guidance method and system to address the above technical issues.

[0005] In a first aspect, the present application provides an efficient parking charging guidance method. The method comprises:

[0006] Obtaining historical parking information of each parking lot, charging pile information of each parking lot, and geographic location information of each parking lot, and analyzing parking distribution information of each parking lot at different time periods based on the historical parking information of each parking lot;

[0007] Based on the parking distribution information of each parking lot at different time periods, the charging pile information of each parking lot, and the geographical distribution information of each parking lot, the parking prediction information of all parking lots at different time periods is identified, and the charging parking cost information of each parking lot is collected;

[0008] Generate parking reservation recommendation information for all parking lots based on parking prediction information for all parking lots at different time periods and charging parking cost information for each parking lot, and receive reservation information for each vehicle;

[0009] In the reservation information of each of the vehicles, a first vehicle of the parking and charging reservation information and a second vehicle of the parking and charging reservation information are identified, and actual parking information of each parking lot and actual parking and charging demand information of each parking lot are detected in real time;

[0010] Based on the actual parking information of each parking lot, the actual parking and charging demand information of each parking lot, and the charging and parking cost information of each parking lot, the target parking lot for each target vehicle with current parking and charging demand is allocated.

[0011] Optionally, analyzing the parking distribution information of each parking lot at different time periods based on the historical parking information of each parking lot includes:

[0012] For each parking lot, the historical parking information of the parking lot is split according to each preset time period to obtain the first parking information of each time period, and the date feature of each time period is identified;

[0013] Identify the vehicle charging data in each first parking information, and perform weighted averaging processing on the first parking information of each time period based on the date weight of each date feature to obtain an average parking quantity in each time period and an average charging quantity in each time period;

[0014] Based on the average parking quantity in each of the time periods and the average charging quantity in each of the time periods, parking distribution information of the parking lot in different time periods is determined.

[0015] Optionally, the identifying parking prediction information of all parking lots at different time periods based on the parking distribution information of each parking lot at different time periods, the charging pile information of each parking lot, and the geographical distribution information of each parking lot includes:

[0016] For each parking lot, based on the charging pile information of the parking lot and the average charging quantity of each parking lot at different time periods, identify the usage frequency of the charging piles of each parking lot at different time periods;

[0017] Based on the geographical distribution information of each parking lot and the average number of parking spaces in each parking lot at different time periods, identifying the parking saturation at different time periods in the area where all parking lots are located and the distribution information of free parking spaces in the area;

[0018] The usage frequency of charging piles in each parking lot at different time periods, the parking saturation at different time periods in the area, and the distribution information of vacant parking spaces in the area are used as parking prediction information for all parking lots at different time periods.

[0019] Optionally, the generating of parking reservation recommendation information for all parking lots based on parking prediction information for all parking lots at different time periods and charging parking cost information for each parking lot includes:

[0020] Based on the usage frequency of charging piles in each parking lot at different time periods, the recommended charging time period of each parking lot and the number of charging piles in each parking lot at each recommended charging time period are identified, and based on the charging parking cost information of each parking lot, the actual charging parking cost of each parking lot at the recommended charging time period is identified;

[0021] Based on the parking saturation in different time periods of the area range and the distribution information of the vacant parking spaces in the area range, generating recommended parking lots in different time periods and the number of parking spaces in the recommended parking lots in each time period, and based on the charging parking cost information of each parking lot, identifying the actual parking cost of the recommended parking lot in each time period;

[0022] Based on the actual charging parking cost of each parking lot during the recommended charging period and the actual parking cost of each recommended parking lot, parking reservation recommendation information of all parking lots is determined.

[0023] Optionally, the step of identifying, in the reservation information of each of the vehicles, the first vehicle with parking and charging reservation information and the second vehicle with parking reservation information includes:

[0024] Identify the reservation type in each reservation information and the reservation vehicle type of each reservation information, and select the vehicle corresponding to the reservation information of the electric vehicle type as the initial first vehicle;

[0025] Among the initial first vehicles, the initial first vehicle whose reservation type is charging parking reservation is selected as the first vehicle, and a re-reservation prompt message is sent to the non-initial first vehicles whose reservation type is charging parking reservation;

[0026] All vehicles that are not the first vehicles and whose reservation type is parking reservation are regarded as the second vehicles.

[0027] Optionally, the step of allocating a target parking lot for each target vehicle with current parking and charging needs, and a target charging pile corresponding to each target vehicle in the target parking lot based on actual parking information of each parking lot, actual parking and charging demand information of each parking lot, and charging and parking cost information of each parking lot includes:

[0028] Based on the actual parking information of each parking lot, the current number of available parking spaces and the current number of available charging piles in each parking lot are identified, and based on the actual parking and charging demand information of each parking lot, the current number of parking spaces required and the current number of charging piles required in each parking lot are identified;

[0029] Based on the charging parking cost information of each parking lot, the unit charging cost of each parking lot in each time period and the unit parking cost of each parking lot in each time period are calculated, and based on the geographical distribution information of each parking lot, the route planning information between each parking lot and the route cost information corresponding to each route planning information are identified;

[0030] Based on the current number of available charging piles in each parking lot, the current number of charging piles required in each parking lot, and the route cost information corresponding to each route planning information, the first target parking lot corresponding to each first target vehicle with parking and charging demand and the target charging pile corresponding to each first target vehicle are allocated through the charging pile allocation network;

[0031] Based on the current number of vacant parking spaces in each parking lot, the current number of parking space requirements in each parking lot, and the route cost information corresponding to each route planning information, the second target parking lot corresponding to the second target vehicle with each parking requirement and the target parking space corresponding to each second target vehicle are allocated through the parking space allocation network.

[0032] In a second aspect, the present application also provides an efficient parking charging guidance system. The system comprises:

[0033] An acquisition module, used to acquire historical parking information of each parking lot, charging pile information of each parking lot, and geographical location information of each parking lot, and analyze parking distribution information of each parking lot at different time periods based on the historical parking information of each parking lot;

[0034] An identification module, for identifying parking prediction information of all parking lots at different time periods based on parking distribution information of each parking lot at different time periods, charging pile information of each parking lot, and geographical distribution information of each parking lot, and collecting charging parking cost information of each parking lot;

[0035] A generating module, configured to generate parking reservation recommendation information of all parking lots based on parking prediction information of all parking lots at different time periods and charging parking cost information of each parking lot, and receive reservation information of each vehicle;

[0036] A detection module, used to identify the first vehicle with parking and charging reservation information and the second vehicle with parking reservation information in the reservation information of each vehicle, and detect the actual parking information of each parking lot and the actual parking and charging demand information of each parking lot in real time;

[0037] The allocation module is used to allocate target parking lots for target vehicles with current parking and charging needs based on actual parking information of each parking lot, actual parking and charging demand information of each parking lot, and charging and parking cost information of each parking lot.

[0038] Optionally, the acquisition module is specifically used to:

[0039] For each parking lot, the historical parking information of the parking lot is split according to each preset time period to obtain the first parking information of each time period, and the date feature of each time period is identified;

[0040] Identify the vehicle charging data in each first parking information, and perform weighted averaging processing on the first parking information of each time period based on the date weight of each date feature to obtain an average parking quantity in each time period and an average charging quantity in each time period;

[0041] Based on the average parking quantity in each of the time periods and the average charging quantity in each of the time periods, parking distribution information of the parking lot in different time periods is determined.

[0042] Optionally, the identification module is specifically used to:

[0043] For each parking lot, based on the charging pile information of the parking lot and the average charging quantity of each parking lot at different time periods, identify the usage frequency of the charging piles of each parking lot at different time periods;

[0044] Based on the geographical distribution information of each parking lot and the average number of parking spaces in each parking lot at different time periods, identifying the parking saturation at different time periods in the area where all parking lots are located and the distribution information of free parking spaces in the area;

[0045] The usage frequency of charging piles in each parking lot at different time periods, the parking saturation at different time periods in the area, and the distribution information of vacant parking spaces in the area are used as parking prediction information for all parking lots at different time periods.

[0046] Optionally, the generating module is specifically used for:

[0047] Based on the usage frequency of charging piles in each parking lot at different time periods, the recommended charging time period of each parking lot and the number of charging piles in each parking lot at each recommended charging time period are identified, and based on the charging parking cost information of each parking lot, the actual charging parking cost of each parking lot at the recommended charging time period is identified;

[0048] Based on the parking saturation in different time periods of the area range and the distribution information of the vacant parking spaces in the area range, generating recommended parking lots in different time periods and the number of parking spaces in the recommended parking lots in each time period, and based on the charging parking cost information of each parking lot, identifying the actual parking cost of the recommended parking lot in each time period;

[0049] Based on the actual charging parking cost of each parking lot during the recommended charging period and the actual parking cost of each recommended parking lot, parking reservation recommendation information of all parking lots is determined.

[0050] Optionally, the detection module is specifically used to:

[0051] Identify the reservation type in each reservation information and the reservation vehicle type of each reservation information, and select the vehicle corresponding to the reservation information of the electric vehicle type as the initial first vehicle;

[0052] Among the initial first vehicles, the initial first vehicle whose reservation type is charging parking reservation is selected as the first vehicle, and a re-reservation prompt message is sent to the non-initial first vehicles whose reservation type is charging parking reservation;

[0053] All vehicles that are not the first vehicles and whose reservation type is parking reservation are regarded as the second vehicles.

[0054] Optionally, the deployment module is specifically used to:

[0055] Based on the actual parking information of each parking lot, the current number of available parking spaces and the current number of available charging piles in each parking lot are identified, and based on the actual parking and charging demand information of each parking lot, the current number of parking spaces required and the current number of charging piles required in each parking lot are identified;

[0056] Based on the charging parking cost information of each parking lot, the unit charging cost of each parking lot in each time period and the unit parking cost of each parking lot in each time period are calculated, and based on the geographical distribution information of each parking lot, the route planning information between each parking lot and the route cost information corresponding to each route planning information are identified;

[0057] Based on the current number of available charging piles in each parking lot, the current number of charging piles required in each parking lot, and the route cost information corresponding to each route planning information, the first target parking lot corresponding to each first target vehicle with parking and charging demand and the target charging pile corresponding to each first target vehicle are allocated through the charging pile allocation network;

[0058] Based on the current number of vacant parking spaces in each parking lot, the current number of parking space requirements in each parking lot, and the route cost information corresponding to each route planning information, the second target parking lot corresponding to the second target vehicle with each parking requirement and the target parking space corresponding to each second target vehicle are allocated through the parking space allocation network.

[0059] The above-mentioned efficient parking and charging guidance method and system obtains the historical parking information of each parking lot, the charging pile information of each parking lot, and the geographical location information of each parking lot, and analyzes the parking distribution information of each parking lot at different time periods based on the historical parking information of each parking lot; identifies the parking prediction information of all parking lots at different time periods based on the parking distribution information of each parking lot at different time periods, the charging pile information of each parking lot, and the geographical distribution information of each parking lot, and collects the charging parking cost information of each parking lot; generates parking reservation recommendation information of all parking lots based on the parking prediction information of all parking lots at different time periods and the charging parking cost information of each parking lot, and receives the reservation information of each vehicle; identifies the first vehicle of the parking and charging reservation information and the second vehicle of the parking reservation information in the reservation information of each vehicle, and detects the actual parking information of each parking lot and the actual parking and charging demand information of each parking lot in real time; allocates the target parking lot of the target vehicle with the current parking and charging demand based on the actual parking information of each parking lot, the actual parking and charging demand information of each parking lot, and the charging and parking cost information of each parking lot. This solution comprehensively analyzes the parking distribution information of each parking lot and the parking prediction information of all parking lots at different times through the historical parking information of each parking lot and the geographical distribution information of each parking lot. This avoids the problem that the reservation control of a single parking lot cannot meet the actual needs. By analyzing the parking prediction information of all parking lots in a certain range at different times and the charging parking cost information, the parking reservation recommendation information of all parking lots is obtained, which is convenient for users to make reservation screening and improves the reservation control and guidance effect of different parking lots. Then, by real-time detection of the actual parking information of each parking lot and the actual parking and charging demand information of each parking lot, each target vehicle is allocated. In addition, this solution distinguishes and allocates the parking information and the charging parking information, avoiding the problem that the charging pile is occupied and the charging pile cannot be charged, thereby affecting the actual parking and charging function of the parking lot. This solution analyzes the parking reservation recommendation information of the parking lot from multiple angles, thereby guiding the management of the parking lot reservation situation, and can adjust the parking demand of each target vehicle in real time according to the actual parking demand information, thereby comprehensively improving the efficiency of vehicle parking and charging. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a flowchart of an efficient parking charging guidance method in one embodiment;

[0061] Figure 2 FIG. 1 is a schematic diagram of the structure of a high-efficiency parking charging guidance system in one embodiment. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0063] The efficient parking charging guidance method provided in the embodiment of the present application can be applied to the application environment of intelligent management and control of parking charging in parking lots. The method can be applied to a terminal, a server, or a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, etc. Among them, the terminal comprehensively analyzes the parking distribution information of each parking lot and the parking prediction information of all parking lots at different time periods through the historical parking information of each parking lot and the geographical distribution information of each parking lot. The problem that the reservation control of a single parking lot cannot meet the actual needs is avoided. By analyzing the parking prediction information and charging parking cost information of all parking lots within a certain range at different times, the parking reservation recommendation information of all parking lots is obtained, which is convenient for users to make reservation screening and improves the reservation control and guidance effect of different parking lots. Then, by real-time detection of the actual parking information of each parking lot and the actual parking and charging demand information of each parking lot, each target vehicle is allocated, and this solution distinguishes and allocates the parking information and the charging parking information, avoiding the problem that the charging pile is occupied and the charging pile cannot be charged, thereby affecting the actual parking and charging function of the parking lot. This solution analyzes the parking reservation recommendation information of the parking lot from multiple angles, thereby guiding the management of the parking lot reservation situation, and can adjust the parking demand of each target vehicle in real time according to the actual parking demand information, thereby comprehensively improving the efficiency of vehicle parking and charging.

[0064] In one embodiment, Figure 1 As shown, an efficient parking charging guidance method is provided, which is described by taking the method applied to a terminal as an example, and includes the following steps:

[0065] Step S101, obtaining historical parking information of each parking lot, charging pile information of each parking lot, and geographical location information of each parking lot, and analyzing parking distribution information of each parking lot in different time periods based on the historical parking information of each parking lot.

[0066] In this embodiment, the terminal collects historical parking information of each parking lot, charging pile information of each parking lot, and geographical location information of each parking lot through a big data collection strategy. Among them, all parking lots belong to parking lots within a fixed range, for example, parking lots within a radius of 500m near the Yellow Crane Tower. Then, the terminal collects information in the following ways, including but not limited to, parking lot terminal information reporting, Internet query, parking lot management platform data transmission, etc. Among them, the charging pile information of each parking lot is the number of charging piles in each parking lot, the health status of each charging pile, and the aging degree of each charging pile. Among them, the geographical location information of the parking lot is the geographical location of the parking lot within a fixed range. Then, based on the historical parking information of each parking lot, the terminal analyzes the parking distribution information of each parking lot at different times. Among them, the historical parking information includes the number of parking lots, the number of parking and charging, etc. at different dates and different time periods. The specific analysis process will be described in detail later, wherein the parking distribution information is the average number of parking lots and the average number of charging parking lots at different time periods of each day considering the date characteristics of different dates. Among them, the date characteristics include holiday characteristics, statutory holiday characteristics, weekday characteristics, and weekend characteristics. This time period is the time period preset by the staff at the terminal, and the time period may be, but is not limited to, 8:00-9:00, 9:00-10:00, ... 19:00-20:00.

[0067] Step S102, based on the parking distribution information of each parking lot at different time periods, the charging pile information of each parking lot, and the geographical distribution information of each parking lot, the parking prediction information of all parking lots at different time periods is identified, and the charging parking cost information of each parking lot is collected.

[0068] In this embodiment, the terminal identifies the parking prediction information of all parking lots at different times based on the parking distribution information of each parking lot at different times, the charging pile information of each parking lot, and the geographical distribution information of each parking lot, and collects the charging parking cost information of each parking lot. Among them, the parking prediction information is the number of parking lots at different times and the number of parking charging in the parking lot. The charging parking cost information includes the charging cost at different times, the parking cost at different times, etc. The specific identification process will be described in detail later.

[0069] Step S103 : Based on the parking prediction information of all parking lots at different time periods and the charging parking cost information of each parking lot, parking reservation recommendation information of all parking lots is generated, and reservation information of each vehicle is received.

[0070] In this embodiment, the terminal generates parking reservation recommendation information for all parking lots based on parking prediction information for all parking lots at different time periods and charging parking cost information for each parking lot, and receives reservation information for each vehicle.

[0071] Step S104, in the reservation information of each vehicle, identifying the first vehicle of the parking and charging reservation information and the second vehicle of the parking reservation information, and detecting the actual parking information of each parking lot and the actual parking and charging demand information of each parking lot in real time.

[0072] In this embodiment, the terminal identifies the first vehicle of the parking and charging reservation information and the second vehicle of the parking reservation information in the reservation information of each vehicle, and detects the actual parking information of each parking lot and the actual parking and charging demand information of each parking lot in real time. The terminal presets the collection interval time, and when the collection interval time is met, collects the current parking space occupancy information of each parking lot and the vehicle information of the vehicle that needs to park outside the parking lot, and obtains the actual parking information of each parking lot and the actual parking and charging demand information of each parking lot.

[0073] Step S105 , allocating target parking lots for target vehicles with current parking and charging demands based on actual parking information of each parking lot, actual parking and charging demand information of each parking lot, and charging and parking cost information of each parking lot.

[0074] In this embodiment, the terminal allocates the target parking lot for each target vehicle with current parking and charging needs based on the actual parking information of each parking lot, the actual parking and charging demand information of each parking lot, and the charging and parking cost information of each parking lot. The specific allocation process will be described in detail later.

[0075] Based on the above scheme, the parking distribution information of each parking lot and the parking prediction information of all parking lots at different time periods are comprehensively analyzed through the historical parking information of each parking lot and the geographical distribution information of each parking lot. The problem that the reservation control of a single parking lot cannot meet the actual needs is avoided, and the parking reservation recommendation information of all parking lots is obtained by analyzing the parking prediction information of all parking lots at different time periods and the charging parking cost information within a certain range, which is convenient for users to make reservation screening and improves the reservation control and guidance effect of different parking lots. Then, by real-time detection of the actual parking information of each parking lot and the actual parking and charging demand information of each parking lot, each target vehicle is allocated, and this scheme distinguishes and allocates the parking information and the charging parking information, avoiding the problem that the charging pile is occupied and the charging pile cannot be charged, thereby affecting the actual parking and charging function of the parking lot, so that this scheme analyzes the parking reservation recommendation information of the parking lot from multiple angles, thereby guiding and managing the parking lot reservation situation, and can adjust the parking demand of each target vehicle in real time according to the actual parking demand information, thereby comprehensively improving the efficiency of vehicle parking and charging.

[0076] Optionally, based on the historical parking information of each parking lot, the parking distribution information of each parking lot in different time periods is analyzed, including: for each parking lot, the historical parking information of the parking lot is split according to preset time periods to obtain the first parking information of each time period, and the date characteristics of each time period are identified; the vehicle charging data in each first parking information is identified, and based on the date weights of each date characteristic, the first parking information of each time period is weighted and averaged to obtain the average number of parking in each time period and the average number of charging in each time period; based on the average number of parking in each time period and the average number of charging in each time period, the parking distribution information of the parking lot in different time periods is determined.

[0077] In this embodiment, for each parking lot, the terminal splits the historical parking information of the parking lot according to each preset time period, obtains the first parking information of each time period, and identifies the date feature to which each time period belongs. Among them, each preset time period is a time period preset by the staff in the terminal. Then, the terminal identifies the vehicle charging data in each first parking information, and based on the date weight of each date feature, performs weighted averaging on the first parking information of each time period to obtain the average number of parking in each time period and the average number of charging in each time period. Among them, the date weight of each date feature is the weight value preset by the staff in the terminal, and the way to identify the date feature to which each time period belongs is to identify the date to which each time period belongs, and query the date feature corresponding to the date in the date feature database. Among them, the vehicle charging data is the number of times the charging pile is used in each time period.

[0078] Finally, the terminal determines the parking distribution information of the parking lot in different time periods based on the average parking quantity in each time period and the average charging quantity in each time period.

[0079] Based on the above scheme, by analyzing the correlation between the number of parking spaces and charging piles and date characteristics respectively, and then determining the parking distribution information of the parking lot at different time periods, the comprehensiveness and accuracy of determining the parking distribution information of the parking lot at different time periods are improved.

[0080] Optionally, based on the parking distribution information of each parking lot at different time periods, the charging pile information of each parking lot, and the geographical distribution information of each parking lot, parking prediction information of all parking lots at different time periods is identified, including: for each parking lot, based on the charging pile information of the parking lot and the average number of charges in each parking lot at different time periods, the usage frequency of the charging piles in each parking lot at different time periods is identified; based on the geographical distribution information of each parking lot and the average number of parking lots in each parking lot at different time periods, the parking saturation at different time periods in the area where all parking lots are located, and the distribution information of vacant parking spaces in the area are identified; the usage frequency of the charging piles in each parking lot at different time periods, the parking saturation at different time periods in the area, and the distribution information of vacant parking spaces in the area are used as the parking prediction information for all parking lots at different time periods.

[0081] In this embodiment, the terminal identifies the usage frequency of the charging piles in each parking lot at different time periods based on the charging pile information of the parking lot and the average number of charges in each parking lot at different time periods. The usage frequency of the charging piles is the average number of times each charging pile in the parking lot is used in each time period. Then, based on the geographical distribution information of each parking lot and the average number of parking lots in each parking lot at different time periods, the terminal identifies the parking saturation at different time periods in the area where all parking lots are located, as well as the distribution information of free parking spaces in the area. The area is the fixed range mentioned above, which is the range preset in the terminal by the staff. Parking saturation is the ratio of the number of parking lots to the number of all parking spaces. The distribution information of free parking spaces is the location distribution information of the free parking spaces in each parking lot in the area.

[0082] Finally, the terminal uses the frequency of charging pile usage in each parking lot at different time periods, the parking saturation in the area at different time periods, and the distribution information of free parking spaces in the area as parking prediction information for all parking lots at different time periods.

[0083] Based on the above solution, the frequency of use of charging piles, parking saturation, and distribution information of vacant parking spaces in different periods of time in the parking lot are used as parking prediction information of the parking lot in different periods of time, thereby improving the practicality and accuracy of identifying parking prediction information.

[0084] Optionally, based on the parking prediction information of all parking lots at different time periods and the charging parking cost information of each parking lot, generate parking reservation recommendation information for all parking lots, including: identifying the recommended charging time period for each parking lot and the number of charging piles in each parking lot in each recommended charging time period based on the frequency of charging pile usage in each parking lot at different time periods, and identifying the actual charging parking cost of each parking lot in the recommended charging time period based on the charging parking cost information of each parking lot; generating recommended parking lots for different time periods and the number of parking spaces in the recommended parking lots in each time period based on the parking saturation at different time periods in the regional scope and the distribution information of vacant parking spaces in the regional scope, and identifying the actual parking cost of the recommended parking lots in each time period based on the charging parking cost information of each parking lot; determining the parking reservation recommendation information for all parking lots based on the actual charging parking cost of each parking lot in the recommended charging time period and the actual parking cost of each recommended parking lot.

[0085] In this embodiment, the terminal identifies the recommended charging period of each parking lot and the number of charging piles in each parking lot in each recommended charging period based on the usage frequency of charging piles in each parking lot in different periods, and identifies the actual charging parking cost of each parking lot in the recommended charging period based on the charging parking cost of each parking lot in different periods and the usage frequency of charging piles in each parking lot in different periods, and selects the period with a usage frequency lower than a preset usage frequency threshold and a charging parking cost lower than a preset charging parking cost threshold as the recommended charging period of each parking lot. Then, the terminal calculates the number of idle charging piles in each recommended charging period and the parking charging cost of the recommended charging period, and obtains the actual charging parking cost of each parking lot in the recommended charging period.

[0086] Then, based on the parking saturation of different time periods in the area and the distribution information of free parking spaces in the area, the terminal generates recommended parking lots for different time periods and the number of parking spaces in the recommended parking lots for each time period, and identifies the actual parking cost of the recommended parking lots for each time period based on the charging parking cost information of each parking lot. Specifically, the above process of calculating the actual parking cost is similar to the process of calculating the actual charging parking cost, but the data is different, and this solution does not make redundant descriptions.

[0087] Finally, the terminal determines the parking reservation recommendation information of all parking lots based on the actual charging parking cost of each parking lot during the recommended charging period and the actual parking cost of the recommended parking lot during each period.

[0088] Based on the above solution, by measuring the recommended charging time periods of each parking lot and the recommended parking lots for each time period, the recommended parking reservation information for all parking lots is used to improve the diversion effect and user convenience of the parking reservation recommendation information.

[0089] Optionally, in the reservation information of each vehicle, the first vehicle of the parking and charging reservation information and the second vehicle of the parking reservation information are identified, including: identifying the reservation type in each reservation information and the reservation vehicle type of each reservation information, and screening the vehicle corresponding to the reservation information of the electric vehicle type as the initial first vehicle; among each initial first vehicle, the initial first vehicle whose reservation type is a charging parking reservation is screened as the first vehicle, and a re-reservation prompt message is sent to the non-initial first vehicles whose reservation type is a charging parking reservation; all vehicles that are not the first vehicles and whose reservation type is a parking reservation are treated as second vehicles.

[0090] In this embodiment, the terminal identifies the reservation type in each reservation information and the reservation vehicle type of each reservation information, and selects the vehicle corresponding to the reservation information of the electric vehicle type as the initial first vehicle. Then, the terminal selects the initial first vehicle whose reservation type is charging parking reservation among the initial first vehicles as the first vehicle, and sends a re-reservation prompt message to the non-initial first vehicle whose reservation type is charging parking reservation. Finally, the terminal regards all vehicles other than the first vehicle and whose reservation type is parking reservation as the second vehicle. Among them, the reservation vehicle type includes electric vehicle type and non-electric vehicle type, and the reservation type includes charging parking reservation and parking reservation.

[0091] Based on the above scheme, through screening, reminders and re-determination, the problem of non-electric vehicles occupying charging piles and affecting the normal operation of charging piles is avoided, and the rational use of charging piles and parking spaces is improved.

[0092] Optionally, based on the actual parking information of each parking lot, the actual parking and charging demand information of each parking lot, and the charging and parking cost information of each parking lot, the target parking lot for each target vehicle with current parking and charging demand and the target charging pile corresponding to each target vehicle in the target parking lot are allocated, including: based on the actual parking information of each parking lot, identifying the current number of vacant parking spaces in each parking lot and the current number of vacant charging piles in each parking lot, and based on the actual parking and charging demand information of each parking lot, identifying the current number of parking spaces required in each parking lot and the current number of charging piles required in each parking lot; based on the charging and parking cost information of each parking lot, calculating the unit charging cost of each parking lot in each time period and the unit parking cost of each parking lot in each time period, and based on Based on the geographical distribution information of the parking lot, the route planning information between each parking lot and the route cost information corresponding to each route planning information are identified; based on the current number of available charging piles in each parking lot, the current number of charging pile requirements in each parking lot, and the route cost information corresponding to each route planning information, the first target parking lot corresponding to the first target vehicle with each parking charging demand and the target charging pile corresponding to each first target vehicle are allocated through the charging pile allocation network; based on the current number of available parking spaces in each parking lot, the current number of parking space requirements in each parking lot, and the route cost information corresponding to each route planning information, the second target parking lot corresponding to the second target vehicle with each parking demand and the target parking space corresponding to each second target vehicle are allocated through the charging pile allocation network.

[0093] In this embodiment, the terminal identifies the current number of vacant parking spaces and the current number of vacant charging piles in each parking lot based on the actual parking information of each parking lot, and identifies the current number of parking spaces required and the current number of charging piles required in each parking lot based on the actual parking and charging demand information of each parking lot.

[0094] Then, based on the charging and parking cost information of each parking lot, the terminal calculates the unit charging cost of each parking lot in each time period and the unit parking cost of each parking lot in each time period, and identifies the route planning information between each parking lot and the route cost information corresponding to each route planning information based on the geographical distribution information of each parking lot. Among them, identifying the route planning information between each parking lot is to calculate the route information between the two parking lots through the route planning algorithm, and filter the current optimal route information as the route planning information. Then, the terminal calculates the route length corresponding to the route planning information. Then, the terminal calculates the route cost information corresponding to each route planning information by the average power loss per unit length preset in the terminal and the average excellent loss per unit length. Among them, the route planning network is a neural network corresponding to the optimization algorithm based on the self-attention mechanism.

[0095] Then, based on the current number of available charging piles in each parking lot, the current number of charging piles required in each parking lot, and the route cost information corresponding to each route planning information, the terminal allocates the first target parking lot corresponding to each first target vehicle with parking and charging requirements, and the target charging pile corresponding to each first target vehicle through the charging pile allocation network. The charging pile allocation network is a reinforcement learning neural network based on knowledge graph and self-attention mechanism.

[0096] Finally, based on the current number of available parking spaces in each parking lot, the current number of parking spaces required in each parking lot, and the route cost information corresponding to each route planning information, the terminal allocates the second target parking lot corresponding to each second target vehicle with parking demand and the target parking space corresponding to each second target vehicle through the parking space allocation network. The parking space allocation network and the charging pile allocation network are the same neural network.

[0097] Based on the above solution, the target parking lot and target parking space / charging pile corresponding to each vehicle are allocated after considering the travel cost of changing parking spaces and the charging parking cost of each parking space, thereby improving the accuracy and rationality of the allocation.

[0098] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0099] Based on the same inventive concept, the embodiment of the present application also provides an efficient parking charging guidance system for implementing the efficient parking charging guidance method involved above. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more efficient parking charging guidance system embodiments provided below can refer to the limitations of the efficient parking charging guidance method above, and will not be repeated here.

[0100] In one embodiment, Figure 2 As shown, an efficient parking charging guidance system is provided, including: an acquisition module 210, an identification module 220, a generation module 230, a detection module 240 and a deployment module 250, wherein:

[0101] The acquisition module 210 is used to acquire the historical parking information of each parking lot, the charging pile information of each parking lot, and the geographical location information of each parking lot, and analyze the parking distribution information of each parking lot in different time periods based on the historical parking information of each parking lot;

[0102] The identification module 220 is used to identify the parking prediction information of all parking lots at different time periods based on the parking distribution information of each parking lot at different time periods, the charging pile information of each parking lot, and the geographical distribution information of each parking lot, and collect the charging parking cost information of each parking lot;

[0103] A generating module 230, configured to generate parking reservation recommendation information of all parking lots based on the parking prediction information of all parking lots at different time periods and the charging parking cost information of each parking lot, and receive the reservation information of each vehicle;

[0104] The detection module 240 is used to identify the first vehicle with parking and charging reservation information and the second vehicle with parking reservation information in the reservation information of each vehicle, and detect the actual parking information of each parking lot and the actual parking and charging demand information of each parking lot in real time;

[0105] The allocation module 250 is used to allocate target parking lots for target vehicles with current parking and charging needs based on actual parking information of each parking lot, actual parking and charging demand information of each parking lot, and charging and parking cost information of each parking lot.

[0106] Optionally, the acquisition module 210 is specifically configured to:

[0107] For each parking lot, the historical parking information of the parking lot is split according to each preset time period to obtain the first parking information of each time period, and the date feature of each time period is identified;

[0108] Identify the vehicle charging data in each first parking information, and perform weighted averaging processing on the first parking information of each time period based on the date weight of each date feature to obtain an average parking quantity in each time period and an average charging quantity in each time period;

[0109] Based on the average parking quantity in each of the time periods and the average charging quantity in each of the time periods, parking distribution information of the parking lot in different time periods is determined.

[0110] Optionally, the identification module 220 is specifically configured to:

[0111] For each parking lot, based on the charging pile information of the parking lot and the average charging quantity of each parking lot at different time periods, identify the usage frequency of the charging piles of each parking lot at different time periods;

[0112] Based on the geographical distribution information of each parking lot and the average number of parking spaces in each parking lot at different time periods, identifying the parking saturation at different time periods in the area where all parking lots are located and the distribution information of free parking spaces in the area;

[0113] The usage frequency of charging piles in each parking lot at different time periods, the parking saturation at different time periods in the area, and the distribution information of vacant parking spaces in the area are used as parking prediction information for all parking lots at different time periods.

[0114] Optionally, the generating module 230 is specifically configured to:

[0115] Based on the usage frequency of charging piles in each parking lot at different time periods, the recommended charging time period of each parking lot and the number of charging piles in each parking lot at each recommended charging time period are identified, and based on the charging parking cost information of each parking lot, the actual charging parking cost of each parking lot at the recommended charging time period is identified;

[0116] Based on the parking saturation in different time periods of the area range and the distribution information of the vacant parking spaces in the area range, generating recommended parking lots in different time periods and the number of parking spaces in the recommended parking lots in each time period, and based on the charging parking cost information of each parking lot, identifying the actual parking cost of the recommended parking lot in each time period;

[0117] Based on the actual charging parking cost of each parking lot during the recommended charging period and the actual parking cost of each recommended parking lot, parking reservation recommendation information of all parking lots is determined.

[0118] Optionally, the detection module 240 is specifically configured to:

[0119] Identify the reservation type in each reservation information and the reservation vehicle type of each reservation information, and select the vehicle corresponding to the reservation information of the electric vehicle type as the initial first vehicle;

[0120] Among the initial first vehicles, the initial first vehicle whose reservation type is charging parking reservation is selected as the first vehicle, and a re-reservation prompt message is sent to the non-initial first vehicles whose reservation type is charging parking reservation;

[0121] All vehicles that are not the first vehicles and whose reservation type is parking reservation are regarded as the second vehicles.

[0122] Optionally, the allocation module 250 is specifically used to:

[0123] Based on the actual parking information of each parking lot, the current number of available parking spaces and the current number of available charging piles in each parking lot are identified, and based on the actual parking and charging demand information of each parking lot, the current number of parking spaces required and the current number of charging piles required in each parking lot are identified;

[0124] Based on the charging parking cost information of each parking lot, the unit charging cost of each parking lot in each time period and the unit parking cost of each parking lot in each time period are calculated, and based on the geographical distribution information of each parking lot, the route planning information between each parking lot and the route cost information corresponding to each route planning information are identified;

[0125] Based on the current number of available charging piles in each parking lot, the current number of charging piles required in each parking lot, and the route cost information corresponding to each route planning information, the first target parking lot corresponding to each first target vehicle with parking and charging demand and the target charging pile corresponding to each first target vehicle are allocated through the charging pile allocation network;

[0126] Based on the current number of vacant parking spaces in each parking lot, the current number of parking space requirements in each parking lot, and the route cost information corresponding to each route planning information, the second target parking lot corresponding to the second target vehicle with each parking requirement and the target parking space corresponding to each second target vehicle are allocated through the parking space allocation network.

[0127] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0128] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0129] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0130] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An efficient parking charging guidance method, characterized in that: The method comprises: Obtaining historical parking information of each parking lot, charging pile information of each parking lot, and geographic location information of each parking lot, and analyzing parking distribution information of each parking lot at different time periods based on the historical parking information of each parking lot; Based on the parking distribution information of each parking lot at different time periods, the charging pile information of each parking lot, and the geographical distribution information of each parking lot, the parking prediction information of all parking lots at different time periods is identified, and the charging parking cost information of each parking lot is collected; Based on the parking prediction information of all parking lots at different time periods and the charging parking cost information of each parking lot, generate parking reservation recommendation information of all parking lots, and receive the reservation information of each vehicle; In the reservation information of each of the vehicles, a first vehicle of the parking and charging reservation information and a second vehicle of the parking and charging reservation information are identified, and actual parking information of each parking lot and actual parking and charging demand information of each parking lot are detected in real time; Based on the actual parking information of each parking lot, the actual parking and charging demand information of each parking lot, and the charging and parking cost information of each parking lot, the target parking lot for each target vehicle with current parking and charging demand is allocated.

2. The method according to claim 1, characterized in that The analyzing the parking distribution information of each parking lot at different time periods based on the historical parking information of each parking lot includes: For each parking lot, the historical parking information of the parking lot is split according to each preset time period to obtain the first parking information of each time period, and the date feature of each time period is identified; Identify the vehicle charging data in each first parking information, and perform weighted averaging processing on the first parking information of each time period based on the date weight of each date feature to obtain an average parking quantity in each time period and an average charging quantity in each time period; Based on the average parking quantity in each of the time periods and the average charging quantity in each of the time periods, parking distribution information of the parking lot in different time periods is determined.

3. The method according to claim 2, characterized in that The identifying parking prediction information of all parking lots at different time periods based on the parking distribution information of each parking lot at different time periods, the charging pile information of each parking lot, and the geographical distribution information of each parking lot includes: For each parking lot, based on the charging pile information of the parking lot and the average charging quantity of each parking lot at different time periods, identify the usage frequency of the charging piles of each parking lot at different time periods; Based on the geographical distribution information of each parking lot and the average number of parking spaces in each parking lot at different time periods, identifying the parking saturation at different time periods in the area where all parking lots are located and the distribution information of free parking spaces in the area; The usage frequency of charging piles in each parking lot at different time periods, the parking saturation at different time periods in the area, and the distribution information of vacant parking spaces in the area are used as parking prediction information for all parking lots at different time periods.

4. The method according to claim 3, characterized in that The generating of parking reservation recommendation information for all parking lots based on parking prediction information for all parking lots at different time periods and charging parking cost information for each parking lot includes: Based on the usage frequency of charging piles in each parking lot at different time periods, the recommended charging time period of each parking lot and the number of charging piles in each parking lot at each recommended charging time period are identified, and based on the charging parking cost information of each parking lot, the actual charging parking cost of each parking lot at the recommended charging time period is identified; Based on the parking saturation in different time periods of the area range and the distribution information of the vacant parking spaces in the area range, generating recommended parking lots in different time periods and the number of parking spaces in the recommended parking lots in each time period, and based on the charging parking cost information of each parking lot, identifying the actual parking cost of the recommended parking lot in each time period; Based on the actual charging parking cost of each parking lot during the recommended charging period and the actual parking cost of each recommended parking lot, parking reservation recommendation information of all parking lots is determined.

5. The method according to claim 1, characterized in that The method of identifying, in the reservation information of each of the vehicles, a first vehicle with parking and charging reservation information and a second vehicle with parking reservation information, comprises: Identify the reservation type in each reservation information and the reservation vehicle type of each reservation information, and select the vehicle corresponding to the reservation information of the electric vehicle type as the initial first vehicle; Among the initial first vehicles, the initial first vehicle whose reservation type is charging parking reservation is selected as the first vehicle, and a re-reservation prompt message is sent to the non-initial first vehicles whose reservation type is charging parking reservation; All vehicles that are not the first vehicles and whose reservation type is parking reservation are regarded as the second vehicles.

6. The method according to claim 1, characterized in that The method of allocating target parking lots for target vehicles with current parking and charging needs, and target charging piles corresponding to each target vehicle in the target parking lot based on actual parking information of each parking lot, actual parking and charging demand information of each parking lot, and charging and parking cost information of each parking lot includes: Based on the actual parking information of each parking lot, the current number of available parking spaces and the current number of available charging piles in each parking lot are identified, and based on the actual parking and charging demand information of each parking lot, the current number of parking spaces required and the current number of charging piles required in each parking lot are identified; Based on the charging parking cost information of each parking lot, the unit charging cost of each parking lot in each time period and the unit parking cost of each parking lot in each time period are calculated, and based on the geographical distribution information of each parking lot, the route planning information between each parking lot and the route cost information corresponding to each route planning information are identified; Based on the current number of available charging piles in each parking lot, the current number of charging piles required in each parking lot, and the route cost information corresponding to each route planning information, the first target parking lot corresponding to each first target vehicle with parking and charging demand and the target charging pile corresponding to each first target vehicle are allocated through the charging pile allocation network; Based on the current number of vacant parking spaces in each parking lot, the current number of parking space requirements in each parking lot, and the route cost information corresponding to each route planning information, the second target parking lot corresponding to the second target vehicle with each parking requirement and the target parking space corresponding to each second target vehicle are allocated through the parking space allocation network.

7. An efficient parking charging guidance system, characterized in that: The system comprises: An acquisition module, used to acquire historical parking information of each parking lot, charging pile information of each parking lot, and geographical location information of each parking lot, and analyze parking distribution information of each parking lot at different time periods based on the historical parking information of each parking lot; An identification module, for identifying parking prediction information of all parking lots at different time periods based on parking distribution information of each parking lot at different time periods, charging pile information of each parking lot, and geographical distribution information of each parking lot, and collecting charging parking cost information of each parking lot; A generating module, configured to generate parking reservation recommendation information of all parking lots based on parking prediction information of all parking lots at different time periods and charging parking cost information of each parking lot, and receive reservation information of each vehicle; A detection module, used to identify the first vehicle with parking and charging reservation information and the second vehicle with parking reservation information in the reservation information of each vehicle, and detect the actual parking information of each parking lot and the actual parking and charging demand information of each parking lot in real time; The allocation module is used to allocate target parking lots for target vehicles with current parking and charging needs based on actual parking information of each parking lot, actual parking and charging demand information of each parking lot, and charging and parking cost information of each parking lot.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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