New energy automobile charging station monitoring management system

Abstract

The invention discloses a new energy automobile charging station monitoring and management system, and the system comprises a preprocessing module which is used for obtaining a charging region and a waiting region according to a site identifier in a service region; the classification module is used for dividing the occupied vehicles in the charging area into charging operation of a marked type A and non-charging operation of a type B; the state monitoring module is used for outputting a first detection signal when the geomagnetic sensor detects that there is a waiting vehicle on the waiting parking space, or outputting a second detection signal; relates to the technical field of new energy, and can avoid conflicts and confusion by implementing a priority management strategy, improve the overall service quality and management level, improve the use efficiency of a charging area, reduce the waiting time of a target vehicle, and avoid the phenomenon of congestion in a service area.

Description

Technical Field

[0001] The present invention belongs to the technical field of new energy, and specifically relates to a monitoring and management system for new energy vehicle charging stations. Background Art

[0002] A new energy vehicle charging station refers to a place specifically for providing electric energy replenishment for new energy vehicles. Through charging piles and other equipment, it converts the electric energy in the power grid into an electric energy form suitable for charging the batteries of new energy vehicles, and replenishes energy for new energy vehicles to meet the needs of the vehicles to continue driving.

[0003] With the rapid growth of the ownership of new energy vehicles, to meet the charging needs of new energy vehicle owners on highways, more and more highway service stations are equipped with charging stations. Usually, a charging area and a waiting area are set in the charging station. For the occupied vehicles in the charging area, the current processing method is to pre-judge whether there are vehicles waiting in the waiting area. If there are vehicles waiting, the management staff will notify the owners of the occupied vehicles to move their cars as soon as possible. However, in the case of a large number of occupied vehicles, the occupied vehicles with charging operations and those without charging operations are not processed according to priority, which easily leads to conflicts and chaos, reducing the overall service quality and management level.

[0004] And in the case of no vehicles waiting, the target vehicles intending to enter the charging area in the service area cannot be predicted in advance, resulting in the failure to send a notice to move the occupied vehicle in advance in time, reducing the processing efficiency of the occupied vehicle, further causing the waiting time of the vehicles to be charged in the service area to be too long, resulting in traffic jams.

[0005] To solve the above problems, the present invention proposes a solution. Summary of the Invention

[0006] The present invention aims to solve the problems raised in the above background art; for this purpose, the present invention proposes a monitoring and management system for new energy vehicle charging stations, including:

[0007] A preprocessing module, configured to obtain the charging area and the waiting area according to the site signs inside the service area;

[0008] A classification module, configured to classify the occupied vehicles in the charging area into those with charging operations of marked type A and those without charging operations of type B;

[0009] A status monitoring module, configured to output a first detection signal when a waiting vehicle is detected on the waiting parking space through a geomagnetic sensor, otherwise output a second detection signal;

[0010] A post-processing module, which is used to record the reception time JS when a first detection signal is generated. In the case of no available charging spaces, if there are occupied vehicles in the charging area and there is only one vehicle of type A and one vehicle of type B, a notice to move the vehicle will be preferentially sent to the owner of the vehicle of type B. If there are two or more vehicles of type A or type B, the notice to move the vehicle will be sent to the corresponding owners in turn according to the order of the occupancy duration values of the vehicles from high to low.

[0011] Preferably, license plate recognition units composed of intelligent cameras and system-level license plate recognition software are equipped in both the charging area and the waiting area.

[0012] A plurality of charging piles and supporting charging spaces are deployed in the charging area. An intelligent ground lock is set on each charging space, and several waiting spaces are configured in the waiting area. A geomagnetic sensor is buried in the center of each waiting space.

[0013] Preferably, in the classification module, the specific analysis method for the type B occupied vehicle is as follows:

[0014] When a new energy vehicle drives into a charging space, the intelligent ground lock automatically descends to allow parking and records the descent time, which is used as the entry time RC of the vehicle into the charging space. If the vehicle does not start charging within the specified duration GD after the entry time RC, the system will automatically send a first-level warning signal to the vehicle and mark this type of occupied vehicle as type B.

[0015] Preferably, in the classification module, the specific analysis method for the type A occupied vehicle is as follows:

[0016] When the vehicle starts charging by connecting to the charging pile, a communication link is established between the vehicle and the charging pile. The vehicle sends a charging request to the charging pile through the charging gun nozzle. The charging request is used to request the charging pile to charge the vehicle. After the charging is completed, the charging pile sends a charging end instruction to the cloud platform and carries the end timestamp SJC. If the vehicle has not left the charging space within the preset duration YC after the end timestamp SJC, the system will automatically send a second-level warning signal to the vehicle and mark this type of occupied vehicle as type A.

[0017] Preferably, the specific monitoring method in the status monitoring module is as follows:

[0018] In the waiting area, when a new energy vehicle drives into a waiting space, the geomagnetic sensor continuously scans the magnetic field data. When a magnetic field change exceeding the preset threshold is detected and the duration exceeds M1, it is determined that there is a vehicle waiting in the waiting space. If the magnetic field returns to stability and the duration exceeds M2, it is determined that there is no vehicle waiting in the waiting space.

[0019] Preferably, the specific processing method in the post-processing module is as follows:

[0020] When there is no "idle" charging space in the charging area, it is pre-judged whether there are occupied vehicles in the charging area;

[0021] If there are occupied vehicles, the number of type A and type B vehicles is obtained respectively;

[0022] When the number of type B vehicles reaches or exceeds two, the system will automatically obtain the occupancy duration ZW1 of each type B vehicle, and in the order of priority from high to low of the ZW1 value, send a vehicle relocation reminder notice to the corresponding vehicle owners in turn. The calculation method for obtaining the occupancy duration ZW1 is:

[0023] JS-(RC+GD)=ZW1;

[0024] When the number of type A vehicles reaches or exceeds two, the system will automatically obtain the occupancy duration ZW2 of each type A vehicle, and in the order of priority from high to low of the ZW2 value, send a vehicle relocation reminder notice to the corresponding vehicle owners in turn. The calculation method for obtaining the occupancy duration ZW2 is:

[0025] JS-(SJC+YC)=ZW2.

[0026] Preferably, when there are no occupied vehicles, the vehicles in the waiting area need to continue waiting for charging.

[0027] Preferably, it further includes a prediction and analysis module, which is used to receive the second detection signal and perform real-time monitoring on the remaining new energy vehicles in the service area to judge whether the vehicle is a target vehicle intending to enter the charging area. When a target vehicle is detected in the service area, the post-processing module is triggered to execute a preset operation process.

[0028] Preferably, the specific analysis method in the prediction and analysis module is:

[0029] Optionally select a new energy vehicle. After the vehicle enters the service area, obtain the irregular image obtained by the high-definition camera shooting the vehicle, and then determine the center point of the irregular image through the detection algorithm, and re-mark it as a fixed point;

[0030] Establish a plane rectangular coordinate system with the fixed point as the origin, compare the abscissa and ordinate values of the two front wheels of the vehicle one by one, and take the point that simultaneously satisfies the minimum abscissa and ordinate as the reference point. With the reference point as the origin, draw two infinitely extending lines to both ends respectively, and re-mark them as indication lines;

[0031] Through spatial overlay analysis, the overlapping part of the two indicator lines in the charging area is identified as the coverage area, and the area of the coverage area is calculated based on the GIS algorithm and marked as FG. When FG≥Y1×ZMJ is satisfied for n consecutive cycles and the distance from the vehicle to the charging area continues to shorten, the vehicle is determined to be a target vehicle that intends to enter the charging area, where Y1 is the preset value and ZMJ refers to the total area of the charging area.

[0032] Preferably, the specific analysis method in the prediction analysis module is:

[0033] When a new energy vehicle enters a service area, it will actively send real-time data to the service area management system using the vehicle networking protocol through the vehicle's built-in communication module;

[0034] The shortest distance ZD between the current service area and the next service area is obtained through the map software. When SY<K1×ZD, it means that the current remaining power of the vehicle cannot reach the next service area, then the vehicle is determined as the target vehicle, where K1 is the preset remaining coefficient.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] The occupied vehicles are divided into Type A and Type B in advance, i.e., those with charging operation and those without charging operation. When vehicles are identified waiting in the waiting area, the occupied vehicles without charging operation are given priority to be notified to move the vehicles. When there are a large number of occupied vehicles, the vehicle owners are notified to move the vehicles in descending order of priority according to the occupied time. By implementing the priority management strategy, conflicts and confusion can be avoided, and the overall service quality and management level can be improved.

[0037] When it is identified that there are no vehicles waiting in the waiting area, the target vehicle that intends to enter the charging area can be predicted in advance in the service area, and then a notice of moving the vehicle can be sent to the owner of the occupied vehicle in advance before the target vehicle arrives at the charging area, thereby improving the efficiency of the charging area, reducing the waiting time of the target vehicle, and avoiding congestion in the service area;

[0038] And to a certain extent, when there are few vehicles waiting to be charged in the service area, the owners of the vehicles occupying the charging area can be given appropriate time to deal with emergencies, which reflects the humane management of the service area. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the principle framework of the present invention;

[0040] Figure 2 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0041] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative work belong to the scope of protection of the present invention.

[0042] Embodiment 1

[0043] Please refer to Figure 1 、 2 , this application provides a monitoring and management system for new energy vehicle charging stations, including;

[0044] The preprocessing module first checks the site signs in the service area, and then obtains the charging area and the waiting area in the service area. A plurality of charging piles and supporting charging parking spaces are deployed in the charging area, and intelligent ground locks are set on each charging parking space;

[0045] The waiting area is configured with several waiting parking spaces for vehicles to wait and park. A geomagnetic sensor is buried in the center of each waiting parking space. The geomagnetic sensor with the model QMC6308 can be used. Of course, those skilled in the art can select other models according to requirements;

[0046] Among them, a license plate recognition unit composed of an intelligent camera and a system-level license plate recognition software is equipped in both the charging area and the waiting area. The intelligent camera will capture the vehicle image at the moment when the vehicle drives into the charging area or the waiting area. The license plate recognition software processes and analyzes the captured image, extracts the license plate number, and identifies the vehicle type, that is, a new energy vehicle or a fuel vehicle. Here, the existing technology is used to judge from the color of the license plate, whether the second letter of the license plate number is D / F, etc. This application document does not make a detailed description;

[0047] The classification module receives the charging area and classifies the occupied vehicle types in the charging area based on preset conditions. The specific classification method is as follows:

[0048] When there is no vehicle in the charging parking space, the intelligent ground lock remains locked. When a new energy vehicle drives into the charging parking space, the intelligent ground lock will automatically lower to allow parking and record the lowering time, which is used as the entry time RC of the vehicle into the charging parking space. Within the specified duration GD after the entry time RC, if the vehicle does not start charging, the system will automatically send a first-level warning signal to the vehicle and mark this type of occupied vehicle without charging operation as type B;

[0049] When the vehicle connects to the charging pile and starts charging, a communication link is established between the vehicle and the charging pile. The vehicle sends a charging request to the charging pile through the charging gun nozzle. The charging request is used to request the charging pile to charge the vehicle. At this time, the intelligent ground lock remains unlocked. After charging ends, the charging pile sends a charging end instruction to the cloud platform through the RS485 / Modbus protocol, and carries the end timestamp SJC. Within the preset duration YC after the end timestamp SJC, if the vehicle has not left the charging space, the system will automatically send a secondary warning signal to the vehicle, and mark this type of occupied vehicle with charging operation as type A;

[0050] When the vehicle on the charging space leaves, the intelligent ground lock automatically rises, and marks the charging space as "idle";

[0051] The status monitoring module receives the waiting area and monitors in real time whether there is a waiting vehicle on the waiting space in the waiting area. The specific monitoring method is as follows:

[0052] In the waiting area, when a new energy vehicle drives into the waiting space, the geomagnetic sensor continuously scans the magnetic field data. When a magnetic field change exceeding the preset threshold is detected and the continuous duration exceeds M1, it is determined that there is a waiting vehicle on the waiting space. If the magnetic field returns to stability and the continuous duration exceeds M2, it is determined that there is no waiting vehicle on the waiting space, where both M1 and M2 are preset values;

[0053] When it is determined that there is a waiting vehicle on the waiting space, immediately output a first detection signal to the post-processing module;

[0054] The post-processing module receives the first detection signal and records the reception time JS in real time. When there is no "idle" charging space in the charging area, it performs priority management on different types of occupied vehicles on the charging space. The specific processing method is as follows:

[0055] When there is no "idle" charging space in the charging area, first judge whether there are occupied vehicles in the charging area;

[0056] If there are occupied vehicles, respectively obtain the number of type A and type B vehicles;

[0057] When there is exactly one vehicle of both type A and type B, first send a vehicle relocation notice to the owner of the type B vehicle. Here, the administrator can use text message notification or on-site voice broadcast to urge the owner to relocate the vehicle as soon as possible;

[0058] When the number of type B vehicles reaches or exceeds two, the system will automatically obtain the occupancy duration ZW1 of each type B vehicle, and in the order of priority from high to low according to the ZW1 value, send a vehicle relocation reminder notice to the corresponding owner in turn. The calculation method for obtaining the occupancy duration ZW1 is as follows:

[0059] JS - (RC + GD) = ZW1;

[0060] When the number of vehicles of type A reaches or exceeds two, the system will automatically obtain the occupancy duration ZW2 of each vehicle of type A, and in the order of priority from high to low of the ZW2 value, send a reminder notice to the corresponding vehicle owners to move their cars in turn. The calculation method for obtaining the occupancy duration ZW2 is as follows:

[0061] JS - (SJC + YC) = ZW2;

[0062] If there is no occupied vehicle, the vehicles in the waiting area need to continue waiting for charging.

[0063] Embodiment 2

[0064] Based on Embodiment 1, please refer to Figure 1 and Figure 2 as shown, the specific improvements are as follows:

[0065] When it is determined that there is no vehicle waiting in the waiting parking space, immediately output a second detection signal to the prediction analysis module;

[0066] The prediction analysis module receives the second detection signal and performs real-time monitoring on the remaining new energy vehicles in the service area to determine whether the vehicle has the intention to enter the charging area. The specific analysis method is as follows:

[0067] Select any new energy vehicle. After the vehicle enters the service area, obtain the irregular image obtained by the high-definition camera shooting the vehicle, and then determine the center point of the irregular image through the detection algorithm, and re-mark it as a fixed point. The method for determining the center point of the irregular image is a prior art, including edge detection method, self-center method, and segmentation method, which will not be elaborated in this application document;

[0068] Establish a plane rectangular coordinate system with the fixed point as the origin, compare the abscissa and ordinate values of the two front wheels of the vehicle one by one, and take the point that satisfies both the minimum abscissa and ordinate as the reference point. With the reference point as the origin, draw two infinitely extending lines to both ends respectively, and re-mark them as indication lines;

[0069] Through spatial superposition analysis, mark the overlapping part of the two indication lines in the charging area as the covered area, and calculate the area of the covered area based on the GIS algorithm, and mark it as FG. When it is satisfied that FG ≥ Y1 × ZMJ for consecutive n cycles and the distance of the vehicle to the charging area continues to shorten, then determine that the vehicle is a target vehicle with the intention to enter the charging area, where Y1 is a preset value, and ZMJ represents the total area of the charging area;

[0070] Perform the same processing on the remaining new energy vehicles in the service area in the above manner. When a target vehicle is detected in the service area, trigger the processing module to execute the preset operation process.

[0071] Example 3

[0072] Based on Example 2, please refer to Figure 1 and Figure 2 as shown, the specific improvements are as follows:

[0073] During the fixed time period in the service area, the total number of times W that each vehicle receives warning signals and the number of charging operations Z are obtained one by one. Here, the charging operation refers to the complete step of inserting the charging gun into the vehicle charging interface and starting the charging process until it is fully charged automatically or stops due to other reasons midway. Among them, the total number of warning signals W is the sum of the number of first-level warning signals W1 and the number of second-level warning signals W2;

[0074] When , mark the vehicles that meet this condition as vehicles to be noted. For these vehicles to be noted, by stipulating the duration GD and the preset duration YC within a certain range, encourage the vehicle owners to develop good charging habits, where YS is a preset value;

[0075] On the above basis, if the number of first-level warning signals W1 among the vehicles to be noted is ≥ 0.6W, for these vehicles to be noted, by taking measures such as restricting the charging duration and permissions, encourage the vehicle owners to abide by the regulations of the charging station.

[0076] Example 4

[0077] Compared with Example 2, this example provides another prediction method for target vehicles. The specific method is as follows:

[0078] When a new energy vehicle enters the service area, through the communication module built in the vehicle, actively send real-time data to the service area management system using the vehicle networking protocol, including relevant data such as the remaining battery percentage, the remaining battery endurance mileage SY, and the total battery capacity;

[0079] Obtain the shortest distance ZD from the current service area to the next service area through the map software. When SY < K1 × ZD, it means that the current remaining battery of the vehicle cannot reach the next service area. Then, determine this vehicle as a target vehicle, where K1 is a preset margin coefficient used to cope with scenarios such as increased high-speed energy consumption, low-temperature attenuation, and climbing.

[0080] Some of the data in the above formula are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art. The above examples are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A monitoring and management system for a new energy vehicle charging station, characterized in that, Including: A preprocessing module, configured to obtain a charging area and a waiting area according to the site signs inside the service area; A classification module, configured to classify the occupied vehicles in the charging area into those with charging operations of marked type A and those without charging operations of type B; A status monitoring module, configured to output a first detection signal when a waiting vehicle is detected on a waiting parking space through a geomagnetic sensor, otherwise output a second detection signal; A post-processing module, configured to record the reception time JS when the first detection signal is generated. In the case of no idle charging parking spaces, if there are occupied vehicles in the charging area and there is only one vehicle of type A and one vehicle of type B, a notice to move the vehicle will be preferentially sent to the owner of the vehicle of type B. If the number of vehicles of type A or type B reaches or exceeds two, a notice to move the vehicle will be sequentially sent to the corresponding owners in descending order of the occupancy duration values of the vehicles.

2. The new energy vehicle charging station monitoring and management system according to claim 1, characterized in that, A license plate recognition unit composed of an intelligent camera and system-level license plate recognition software is equipped in both the charging area and the waiting area; A plurality of charging piles and supporting charging parking spaces are deployed in the charging area, an intelligent ground lock is set on each charging parking space, several waiting parking spaces are configured in the waiting area, and a geomagnetic sensor is buried in the center of each waiting parking space.

3. The new energy vehicle charging station monitoring and management system according to claim 1, characterized in that In the classification module, the specific analysis method for the type B occupied vehicle is as follows: When a new energy vehicle drives into a charging parking space, the intelligent ground lock automatically descends to allow parking, and the descending time is recorded as the entry time RC of the vehicle into the charging parking space. If the vehicle does not start charging within the specified duration GD after the entry time RC, the system will automatically send a first-level warning signal to the vehicle, and this type of occupied vehicle will be marked as type B.

4. The new energy vehicle charging station monitoring and management system according to claim 1, characterized in that, In the classification module, the specific analysis method for the type A occupied vehicle is as follows: When the vehicle connects to the charging pile to start charging, a communication link is established between the vehicle and the charging pile. The vehicle sends a charging request to the charging pile through the charging gun nozzle. The charging request is used to request the charging pile to charge the vehicle. After the charging is completed, the charging pile sends a charging end instruction to the cloud platform and carries the end timestamp SJC. If the vehicle has not left the charging parking space within the preset duration YC after the end timestamp SJC, the system will automatically send a second-level warning signal to the vehicle, and this type of occupied vehicle will be marked as type A.

5. The new energy vehicle charging station monitoring and management system according to claim 1, characterized in that, The specific monitoring method in the status monitoring module is as follows: In the waiting area, when a new energy vehicle drives into a waiting parking space, the geomagnetic sensor continuously scans the magnetic field data. When a magnetic field change exceeding a preset threshold is detected and the duration exceeds M1, it is determined that there is a vehicle waiting on the waiting parking space. If the magnetic field returns to stability and the duration exceeds M2, it is determined that there is no vehicle waiting on the waiting parking space.

6. The new energy vehicle charging station monitoring and management system according to claim 1, characterized in that: The specific processing method in the post-processing module is as follows: When there is no "idle" charging parking space in the charging area, it is first determined whether there are occupied vehicles in the charging area; If there are occupied vehicles, the number of vehicles of type A and type B is respectively obtained; When the number of vehicles of type B reaches or exceeds two, the system will automatically obtain the parking duration ZW1 of each vehicle of type B, and in the order of priority from high to low ZW1 values, send parking reminder notices to the corresponding vehicle owners in sequence. The calculation method for obtaining the parking duration ZW1 is as follows: JS-(RC+GD)=ZW1; When the number of vehicles of type A reaches or exceeds two, the system will automatically obtain the parking duration ZW2 of each vehicle of type A, and in the order of priority from high to low ZW2 values, send parking reminder notices to the corresponding vehicle owners in sequence. The calculation method for obtaining the parking duration ZW2 is as follows: JS-(SJC+YC)=ZW2.

7. The new energy vehicle charging station monitoring and management system according to claim 6, characterized in that: When there are no occupied vehicles, the vehicles in the waiting area need to continue waiting for charging.

8. The monitoring and management system for a new energy vehicle charging station according to claim 1, characterized in that, It further includes a prediction analysis module for receiving the second detection signal and performing real-time monitoring on the remaining new energy vehicles in the service area to determine whether the vehicle is a target vehicle intending to enter the charging area. When a target vehicle is detected in the service area, it will trigger the post-processing module to execute a preset operation process.

9. The monitoring and management system for a new energy vehicle charging station according to claim 8, characterized in that The specific analysis method in the prediction analysis module is as follows: Select any new energy vehicle. After the vehicle enters the service area, obtain the irregular image obtained by the high-definition camera after shooting the vehicle, and then determine the center point of the irregular image through a detection algorithm and re-mark it as a fixed point; Establish a plane rectangular coordinate system with the fixed point as the origin, compare the abscissa and ordinate values of the two front wheels of the vehicle one by one, and take the point that simultaneously satisfies the minimum abscissa and ordinate as the reference point. With the reference point as the origin, draw two infinitely extending lines at both ends respectively and re-mark them as indicator lines; Through spatial overlay analysis, mark the overlapping part of the two indicator lines in the charging area as the covered area, and calculate the area of the covered area based on the GIS algorithm and mark it as FG. When it is satisfied that FG≥Y1×ZMJ for consecutive n cycles and the distance of the vehicle to the charging area continues to shorten, then determine that the vehicle is a target vehicle intending to enter the charging area, where Y1 is a preset value and ZMJ represents the total area of the charging area.

10. The new energy vehicle charging station monitoring and management system according to claim 8, wherein The specific analysis method in the prediction analysis module is as follows: When a new energy vehicle enters the service area, through the communication module built in the vehicle, actively send real-time data to the service area management system using the vehicle networking protocol; Obtain the shortest distance ZD from the current service area to the next service area through the map software. When SY<K1×ZD, it means that the current remaining power of the vehicle cannot reach the next service area, then determine that the vehicle is a target vehicle, where K1 is a preset margin coefficient.

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