Charging station operation monitoring platform

Abstract

The invention relates to the technical field of charging stations, and particularly discloses a charging station operation monitoring platform which comprises a station management end, a cloud end and an inspection end. The cloud end is used for acquiring vehicle registration information of a parking lot without a charging pile installation condition in a preset range, and sending the vehicle registration information to the station management end; a license plate number of the fuel vehicle is screened from the vehicle registration information and marked as a potential user; the station management end is used for collecting license plate numbers of entering vehicles, comparing the license plate numbers with the vehicle registration information, judging whether the entering vehicles are potential customers or not, and generating access information of the potential customers if the entering vehicles are potential customers; the cloud is used for judging whether the current station has an inspector or not according to the preset inspection plan of the corresponding station, and if so, sending the license plate number of the potential customer to the inspection end corresponding to the inspector; the cloud end is further used for receiving feedback information of the inspection personnel to the potential customers from the inspection end and analyzing the car changing probability of the potential customers according to the feedback information. By adopting the technical scheme of the invention, potential users can be effectively identified and the car changing willingness of the users can be predicted.

Description

Technical Field

[0001] The present invention relates to the technical field of charging stations, and in particular to a charging station operation monitoring platform. Background Art

[0002] With the popularization of new energy vehicles, the construction and operation of charging infrastructure has become an important link affecting the promotion of new energy vehicles. However, most charging stations currently focus on providing basic charging services, lack management and marketing methods for potential users (fuel vehicle users), and fail to fully tap potential market resources. Especially in some old communities, units and other areas that do not have the conditions to install charging piles, users of fuel vehicles have gradually shown a potential willingness to replace new energy vehicles, but due to the lack of accurate user demand prediction and management, the charging needs in these areas are often difficult to meet in a timely manner, which on the one hand reduces the user experience, and on the other hand, fails to create more revenue for the operator.

[0003] To this end, a charging station operation monitoring platform is needed that can effectively identify potential users and predict their willingness to change vehicles, helping operators to plan and expand charging stations in advance. Summary of the invention

[0004] The present invention provides a charging station operation monitoring platform, which can effectively identify potential users and predict their willingness to change vehicles.

[0005] In order to solve the above technical problems, this application provides the following technical solutions:

[0006] A charging station operation monitoring platform, including: a station management terminal, a cloud terminal, and an inspection terminal;

[0007] The cloud is used to obtain vehicle registration information of parking lots within a preset range that do not have charging pile installation conditions, and send the vehicle registration information to the station management end; the vehicle registration information includes the license plate number and vehicle type; the vehicle type includes new energy vehicles and fuel vehicles; it is also used to filter out the license plate number of fuel vehicles from the vehicle registration information and mark them as potential users;

[0008] The cloud is also used to send the marked vehicle registration information to the depot management end;

[0009] The station management terminal is used to collect the license plate number of the vehicle entering the station, compare it with the vehicle registration information, and determine whether it is a potential customer. If it is a potential customer, it generates the access information of the potential user and sends the access information to the cloud;

[0010] The cloud is used to determine whether there is an inspector at the current station based on the preset inspection plan of the corresponding station. If so, the license plate number of the potential customer is sent to the inspection terminal corresponding to the inspector;

[0011] The cloud is also used to receive feedback from patrol personnel on potential customers from the patrol end, and analyze the probability of potential users changing cars based on the feedback information.

[0012] Furthermore, the cloud is also used to count the entry time of potential customers of each charging station, analyze the concentrated time periods of entry, create an inspection plan based on the concentrated time periods of potential customers of each charging station, and send the inspection plan to the inspection terminal.

[0013] Furthermore, the station management terminal collects the license plate number of the incoming vehicle and compares it with the vehicle registration information. If it is not a potential customer, it determines whether it is a new energy vehicle. If it is not a new energy vehicle, a non-open prompt is generated.

[0014] Furthermore, the cloud is also used to count the number of users who have a high probability of entering the charging station to change vehicles within a preset time;

[0015] It is also used to obtain real-time data of all charging piles from the station management end, analyze them according to preset rules, and obtain charging analysis results;

[0016] It also includes a large-screen terminal, which is used to receive and display the number of users with a high probability of changing cars and charging analysis results from the cloud.

[0017] Furthermore, the cloud is also used to obtain monitoring image data of the corresponding charging station from the station management end after the potential user enters the charging station, and push the monitoring image data to the large screen end.

[0018] Further, it also includes the car owner end;

[0019] The cloud is also used to determine whether there are new energy vehicles in the same parking lot as potential users based on the license plate number of the new energy vehicles being charged when potential users enter the parking lot. If so, determine whether the number of new energy vehicles is greater than 1. If greater than 1, obtain the charging time of the corresponding new energy vehicles from the station management end, select the new energy vehicle with the longest charging time for marking; and send communication suggestion information to the owner of the marked new energy vehicle;

[0020] The cloud is also used to analyze the surveillance image data when the potential customer leaves the vehicle to determine whether the potential user has communicated with the owner of the marked new energy vehicle. If so, determine whether the communication duration exceeds the set time and record it if it exceeds the set time.

[0021] The station management end is also used to reduce the charging amount when a new energy vehicle with an AC record is charged and a charging order is generated, and the reduced charging order is sent to the owner.

[0022] This solution obtains vehicle registration information in areas that do not have the conditions for charging pile installation, screens out fuel vehicles and marks them as potential users, and combines vehicle entry comparison to accurately identify potential users. The cloud pushes relevant information about potential customers to inspectors based on the potential users' entry time and the station inspection plan, allowing the inspectors to communicate with potential users and provide feedback after obtaining relevant information. The cloud can accurately analyze the probability of potential users changing cars through feedback data. Statistical analysis is performed on the potential users' probability of changing cars, charging analysis results, and real-time data of the station, and intuitively presented on the large screen to provide accurate data support for operators.

[0023] In summary, this solution can accurately predict the potential users' willingness to change vehicles through multi-terminal coordination and collaboration, and help operators to plan the expansion of charging facilities to improve the overall operational efficiency of the station. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 The present invention is a logic block diagram of a first embodiment of a charging station operation monitoring platform. DETAILED DESCRIPTION

[0025] The following is further described in detail through specific implementation methods:

[0026] Embodiment 1

[0027] like Figure 1 As shown, a charging station operation monitoring platform of this embodiment includes a station management terminal, a cloud terminal, an inspection terminal, and a large screen terminal;

[0028] The cloud is used to obtain the vehicle registration information of parking lots that do not have charging pile installation conditions within a preset range through a preset API interface, and send the vehicle registration information to the station management end; the vehicle registration information includes the license plate number and vehicle type; the vehicle type includes new energy vehicles and fuel vehicles; for example, if the preset range is 2km, then the vehicle registration information of parking lots (community parking lots, unit parking lots) that do not have charging pile installation conditions within 2km is obtained. In this solution, a cooperative relationship is established with the corresponding parking lot, for example, the corresponding parking lot vehicles pay commissions to the parking lot management party when they charge at this charging station, so as to achieve a win-win business. In this embodiment, the vehicle registration information is obtained from the management system of the corresponding parking lot.

[0029] It is also used to filter out the license plate numbers of fuel vehicles from vehicle registration information and mark them as potential users, and filter out the license plate numbers of new energy vehicles and mark them as target users;

[0030] The cloud is also used to send the marked vehicle registration information to the depot management end;

[0031] The station management end is used to collect the license plate number of the vehicle entering the station, compare it with the vehicle registration information, and determine whether it is a potential customer. If it is a potential customer, generate the access information of the potential user and send the access information to the cloud; if it is not a potential customer, determine whether it is a new energy vehicle. If it is not a new energy vehicle, generate a closed prompt; if it is a new energy vehicle, determine whether it is a target user. If it is a target user, record the target user's charging information when entering the station;

[0032] The cloud is used to determine whether there is an inspector at the current station based on the preset inspection plan of the corresponding station. If so, the license plate number of the potential customer is sent to the inspection terminal corresponding to the inspector;

[0033] The cloud is also used to receive feedback from the inspection personnel on potential customers from the inspection end; the feedback information includes the purpose of the potential customer entering the charging station, the car replacement plan information, the car replacement time information, the car replacement type information, etc. For example, the purpose of the customer entering the charging station: to investigate the convenience of charging, the car replacement plan information: there is a car replacement plan, the car replacement time information: the plan to replace the car within half a year, and the car replacement type information: to replace a plug-in hybrid vehicle.

[0034] The station management terminal is also used to obtain the monitoring image data of the station when there is no inspection personnel at the current station, obtain the vehicle image of the potential customer from the monitoring image data, and identify the vehicle model based on the vehicle image; it is also used to identify whether the potential customer has left the vehicle and record it;

[0035] It is also used to record the appearance time of potential customers, and record the duration of the visit based on the entry time and exit time;

[0036] It is also used to send information about the duration of the visit, vehicle model, and whether the person has left the vehicle to the cloud;

[0037] The cloud is used to determine whether there is feedback information from potential customers. If so, the probability of the potential user changing cars is analyzed based on the feedback information.

[0038] If there is no feedback information, the potential user's probability of changing cars is analyzed based on the potential customer's visit duration, vehicle model, and whether the potential customer has left the vehicle; the probability of changing cars includes: high, medium, or low;

[0039] Specifically, when analyzing the probability of potential users changing their cars based on feedback information, potential customers who plan to change their cars within six months are identified as having a high probability of changing their cars;

[0040] When there is no feedback information, the analysis module is used to grade the interest level of potential customers according to the duration of the visit and assign scores; for example: short stay (less than 2 minutes): low probability of changing cars, 1 point; medium stay (2 minutes-5 minutes): medium probability of changing cars, 3 points; long stay (more than 5 minutes): high probability of changing cars, 5 points.

[0041] Determine the launch year of fuel vehicles based on vehicle models and assign a score: for example, if launched in 2014 or earlier, the probability of vehicle replacement is high, 5 points; if launched between 2015 and 2020, the probability of vehicle replacement is medium, 3 points; if launched after 2021, the probability of vehicle replacement is low, 1 point;

[0042] Analyze and assign scores based on whether the customer leaves the vehicle: For example, if the customer does not leave the vehicle, the probability of changing the vehicle is low, 1 point; if the customer leaves the vehicle for less than 2 minutes, the probability of changing the vehicle is medium, 2 points; if the customer leaves the vehicle for more than 2 minutes, the probability of changing the vehicle is high, 3 points;

[0043] The visit duration, vehicle model and whether the vehicle is left are assigned weights respectively, and the vehicle change probability is calculated based on the weights. In this embodiment, the visit duration accounts for 50%, the vehicle model accounts for 30%, and whether the vehicle is left accounts for 20%.

[0044] The comprehensive score is calculated by the formula:

[0045] Comprehensive score = (visit duration score × 0.5) + (vehicle model score × 0.3) + (whether to leave the vehicle score × 0.2)

[0046] The final classification is based on the comprehensive scores:

[0047] 4.0≤Comprehensive score≤5.0, high probability

[0048] 2.5≤Comprehensive score<4.0, medium probability

[0049] Comprehensive score <2.5, low probability.

[0050] The cloud is also used to count the number of users who have a high probability of entering a charging station to change cars within a preset time, such as 1 month.

[0051] The cloud is also used to obtain the target user’s charging information from the station management end;

[0052] It is also used to obtain real-time data of all charging piles from the station management end, analyze according to preset rules, and obtain charging analysis results. The charging analysis results include monthly charging analysis results, charging trend analysis results, charging pile usage analysis results, current real-time total power, monthly charging total, monthly service times, monthly service duration, 24-hour single-gun utilization rate, etc.

[0053] The large screen receives and displays the number of users with a high probability of changing cars and the charging analysis results from the cloud; among them, the current real-time total power, monthly charging volume, monthly service times, monthly service duration, and 24-hour single-gun utilization rate are displayed in the form of text plus specific numerical values; the monthly time period charging analysis results are displayed in a pie chart, including the proportion of sharp segments, peak segments, flat segments, and valley segments; the charging pile usage analysis results are displayed in charging pile images, unused charging piles are filled with no color, and charging piles in use are filled with a certain color; the charging trend analysis results are displayed in a curve coordinate chart, with the horizontal axis being the date (in days) and the vertical axis being the charging amount (in kWh).

[0054] The solution of this embodiment can identify potential customers (fuel vehicle users) in parking lots around charging stations that do not have the conditions for installing charging piles, and evaluate their willingness to change vehicles in combination with multi-dimensional data. Through the hierarchical analysis of the probability of potential users changing vehicles, a scientific decision-making basis is provided for the expansion of charging stations and the layout of facilities. It is particularly suitable for special scenarios such as old communities and units where charging facilities are insufficient, and solves the problem of predicting charging demand during the transformation from fuel vehicles to new energy vehicles.

[0055] In addition, this solution helps operators accurately grasp potential market trends by dynamically counting key data such as vehicle models, dwelling time and user behavior, thereby improving the operating efficiency of charging stations and providing strong support for the promotion and popularization of new energy vehicles.

[0056] Embodiment 2

[0057] The difference between this embodiment and the first embodiment is that in this embodiment, the cloud is also used to count the entry time of potential customers of each charging station, analyze the entry time aggregation period, create an inspection plan according to the entry time aggregation period of potential customers of each charging station, and send the inspection plan to the inspection terminal. In the inspection technology, the entry time aggregation period of potential customers of each charging station is prioritized as the inspection period.

[0058] In this embodiment, a day is divided into several fixed time periods (for example, every hour), an interval sequence of entry time periods is generated, the number of entries in each time period is counted, a mapping relationship between time periods and the number of entries is generated, and the time period with the largest number of entries is found as the entry time concentration period.

[0059] By collecting statistics and analyzing the entry time data of potential customers at each charging station, accurately identifying the concentrated entry time periods, and dynamically creating inspection plans based on this, the probability of inspection personnel meeting potential customers can be increased. Without increasing labor costs, the inspection personnel can understand the potential customers' vehicle replacement plans through communication with them.

[0060] Embodiment 3

[0061] The difference between this embodiment and the first embodiment is that in this embodiment, the cloud is also used to obtain monitoring image data of the corresponding charging station from the station management end after the potential user enters the charging station, and push the monitoring image data to the large screen end.

[0062] The monitoring image data of potential users entering the charging station is pushed to the large screen, allowing the operator to monitor user dynamics in the station in real time.

[0063] Embodiment 4

[0064] The difference between this embodiment and the first embodiment is that, in this embodiment, a vehicle owner terminal is also included;

[0065] The cloud is also used to determine whether there are new energy vehicles in the same parking lot as potential users based on the license plate number of the new energy vehicles being charged when potential users enter the parking lot. If so, determine whether the number of new energy vehicles is greater than 1. If so, obtain the charging time of the corresponding new energy vehicles from the station management end, select the new energy vehicle with the longest charging time for marking; and send communication suggestion information to the owner of the marked new energy vehicle;

[0066] The cloud is also used to analyze the surveillance image data when the potential customer leaves the vehicle to determine whether the potential user has communicated with the marked new energy vehicle owner. If so, it is determined whether the communication time exceeds the set time and recorded if it exceeds the set time. The station management end is also used to reduce the charging amount when the charging order is generated after the charging of the new energy vehicle with communication records is completed, and the charging order after the reduction is sent to the owner. The reduction range is set by the administrator.

[0067] When potential users enter the parking lot, this solution intelligently identifies new energy vehicles that are charging in the same parking lot, selects the vehicle with the longest charging time for marking, and sends communication suggestion information to its owner, encouraging the owner to communicate with potential users about the experience of using new energy vehicles and helping potential users understand the actual situation of the charging station.

[0068] By monitoring the communication behavior between potential users and new energy vehicle owners, recording the communication duration, and providing incentives such as charging fee reductions to new energy vehicle owners with communication records, the enthusiasm of vehicle owners to participate in the interaction can be stimulated.

[0069] The above are only embodiments of the present invention. The invention is not limited to the fields involved in this implementation case. The common sense such as the known specific structures and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or the priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to explain the content of the claims.

Claims

1. A charging station operation monitoring platform, characterized in that: include: Station management terminal, cloud terminal, and inspection terminal; The cloud is used to obtain vehicle registration information of parking lots that do not have charging pile installation conditions within a preset range, and send the vehicle registration information to the station management end; Vehicle registration information includes license plate number and vehicle type; vehicle types include new energy vehicles and fuel vehicles; It is also used to filter out the license plate numbers of fuel vehicles from vehicle registration information and mark them as potential users; The cloud is also used to send the marked vehicle registration information to the depot management end; The station management terminal is used to collect the license plate number of the vehicle entering the station, compare it with the vehicle registration information, and determine whether it is a potential customer. If it is a potential customer, it generates the access information of the potential user and sends the access information to the cloud; The cloud is used to determine whether there is an inspector at the current station based on the preset inspection plan of the corresponding station. If so, the license plate number of the potential customer is sent to the inspection terminal corresponding to the inspector; The cloud is also used to receive feedback from patrol personnel on potential customers from the patrol end, and analyze the probability of potential users changing cars based on the feedback information.

2. The charging station operation monitoring platform according to claim 1, characterized in that: The cloud is also used to count the entry time of potential customers of each charging station, analyze the concentrated time periods of the entry time, create an inspection plan according to the concentrated time periods of the potential customers of each charging station, and send the inspection plan to the inspection terminal.

3. The charging station operation monitoring platform according to claim 2 is characterized in that: The station management terminal collects the license plate number of the incoming vehicle and compares it with the vehicle registration information. If it is not a potential customer, it determines whether it is a new energy vehicle. If it is not a new energy vehicle, a non-open prompt is generated.

4. The charging station operation monitoring platform according to claim 3 is characterized in that: The cloud is also used to count the number of users who have a high probability of entering the charging station to change vehicles within a preset time; It is also used to obtain real-time data of all charging piles from the station management end, analyze them according to preset rules, and obtain charging analysis results; It also includes a large-screen terminal, which is used to receive and display the number of users with a high probability of changing cars and charging analysis results from the cloud.

5. The charging station operation monitoring platform according to claim 4 is characterized in that: The cloud is also used to obtain monitoring image data of the corresponding charging station from the station management end after the potential user enters the charging station, and push the monitoring image data to the large screen end.

6. The charging station operation monitoring platform according to claim 5, characterized in that: It also includes the car owner terminal; The cloud is also used to determine whether there are new energy vehicles in the same parking lot as potential users based on the license plate number of the new energy vehicles being charged when potential users enter the parking lot. If so, determine whether the number of new energy vehicles is greater than 1. If so, obtain the charging time of the corresponding new energy vehicles from the station management end, select the new energy vehicle with the longest charging time for marking; and send communication suggestion information to the owner of the marked new energy vehicle; The cloud is also used to analyze the surveillance image data when the potential customer leaves the vehicle to determine whether the potential user has communicated with the owner of the marked new energy vehicle. If so, determine whether the communication duration exceeds the set time and record it if it exceeds the set time. The station management end is also used to reduce the charging amount when a new energy vehicle with an AC record is charged and a charging order is generated, and the reduced charging order is sent to the owner.

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