CN117496447B

CN117496447B - AI-based charging station parking space illegal occupation judging method and server

Info

Publication number: CN117496447B
Application number: CN202311855485.8A
Authority: CN
Inventors: 唐傲; 颜文涛; 罗诣; 杨绪勇
Original assignee: Shenzhen Weiche Technology Co ltd
Current assignee: Shenzhen Weiche Technology Co ltd
Priority date: 2023-12-29
Filing date: 2023-12-29
Publication date: 2024-03-29
Anticipated expiration: 2043-12-29
Also published as: CN117496447A

Abstract

The application provides a method and a server for judging illegal occupancy of a parking space of a charging station based on an AI (advanced technology), wherein the method comprises the steps of acquiring image information sent by image acquisition equipment, determining the license plate type and the parking space number of an inbound vehicle from the image information based on an AI image recognition technology, and determining a corresponding charging pile number according to the parking space number; determining a charging gun use order corresponding to the charging pile number; after detecting that the bound license plate number is matched with the vehicle information of the inbound vehicle, determining the inbound vehicle as a charging vehicle; detecting whether the occupation time of the charging vehicle on the corresponding charging pile is longer than the occupation-free time; if the vehicle is larger than the preset threshold value, determining the charging vehicle as a charging overtime space occupying vehicle; if not, the charging vehicle is determined to be a normal charging vehicle. By the method, illegal occupation conditions of the charged parking spaces which are occupied by the vehicles after the vehicles are charged can be identified.

Description

AI-based charging station parking space illegal occupation judging method and server

Technical Field

The application relates to the field of intelligent transportation, in particular to a method and a server for judging illegal occupancy of a parking space of a charging station based on AI.

Background

With the rapid development of new energy automobiles, the holding capacity of electric automobiles is steadily increasing. However, the construction of electric automobile charging facilities is seriously lagged, the number of public charging piles is rare, and meanwhile, illegal occupation conditions of the charging piles exist, so that a plurality of electric automobile users face the problem of difficult charging.

The occupation recognition of the parking space of the charging station in the related art is approximately as follows: when a vehicle enters, the parking charging system recognizes license plate information, if the license plate passes verification, a railing is opened, the vehicle is allowed to enter a charging station, the vehicle stops at a charging level to start charging, and the parking charging system can grasp the charging level service condition in real time through a monitoring lens.

However, in the parking charging system in the related art, whether the charging position is illegally occupied by the uncharged vehicle is judged by detecting whether the vehicle is connected with the charging pile through the monitoring camera, but for the vehicle connected with the charging pile, the illegally occupied condition of the charging parking space is occupied after the charging is completed, so that the parking charging system in the related art is difficult to identify the illegally occupied condition of the charging parking space after the charging is completed.

Disclosure of Invention

The application provides a charging station parking space illegal occupation judging method and a server based on AI, which are used for judging the type of vehicle energy, detecting the charging condition of a vehicle, further judging whether the charging of the vehicle is finished or not, and identifying the illegal occupation condition of the charging parking space which is occupied after the charging of the vehicle is finished.

In a first aspect, the present application provides a method for determining illegal occupancy of a parking space of a charging station based on AI, where the method includes:

acquiring image information sent by image acquisition equipment, wherein the image information comprises vehicle movement tracks and vehicle information of inbound vehicles within a set range; determining the license plate type and the parking space number of the inbound vehicle from the image information based on an AI image recognition technology, wherein the license plate type comprises a new energy license plate; after determining that the license plate type is a new energy license plate, determining a corresponding charging pile number according to the parking space number; determining a charging gun use order corresponding to the charging pile number, wherein the charging gun use order comprises a binding license plate number corresponding to the charging gun; after detecting that the bound license plate number matches the vehicle information of the inbound vehicle, determining the inbound vehicle as a charging vehicle; detecting whether the occupation time of the charging vehicle on the corresponding charging pile is longer than the occupation-free time; if the occupied time is longer than the occupied time free time, determining the vehicle in charge as a vehicle with overtime occupied time; and if the occupied time is not longer than the occupied time, determining the charging vehicle as a normal charging vehicle.

In the embodiment, the monitoring and the movement track management of the inbound vehicles in the charging station are realized, and the vehicle information and the charging behavior can be automatically and rapidly identified. On one hand, the vehicle energy type can be judged by judging whether the license plate number of the inbound vehicle is a new energy license plate number, and on the other hand, the charging condition of the vehicle can be detected by combining the service condition of the charging gun in the charging pile with the license plate number, so that the illegal occupation condition of the charging parking space which is occupied after the vehicle is charged is further identified.

With reference to some embodiments of the first aspect, in some embodiments, after the step of determining the license plate type and the parking space number of the inbound vehicle according to the image information, the method further includes: after determining that the license plate type is a non-new energy license plate, determining the inbound vehicle as an illegal inbound vehicle; generating an alarm instruction according to the vehicle information of the illegal entering vehicle; and sending an alarm instruction to the on-site audible and visual alarm equipment so that the on-site audible and visual alarm equipment sends an alarm signal.

In the embodiment, when the illegal vehicle is identified, the alarm device is started by automatically sending a signal through the system, so that the system is more intelligent and automatic, and the illegal behavior can be warned without manual work.

With reference to some embodiments of the first aspect, in some embodiments, after the step of determining the inbound vehicle as a offending inbound vehicle, the method further comprises: recording the residence time of the illegal entering vehicle at the station; when the illegal entering vehicle enters an exit, acquiring exit information of the illegal entering vehicle sent by the image acquisition equipment, wherein the exit information comprises vehicle information and exit time of the illegal entering vehicle; determining the illegal entrance parking fee according to the entrance time and the exit time of the illegal entering vehicle; and after the illegal entrance parking fee is determined to be received, sending a release instruction to the exit barrier gate.

In the embodiment, the parking time of the illegal entering vehicle can be accurately calculated and recorded, and is used as a charging basis, traffic flow is standardized, charging sequence is maintained, and rights and interests of regular users are protected.

With reference to some embodiments of the first aspect, in some embodiments, after the step of determining the charging vehicle as a charging timeout space vehicle, the method further includes: acquiring a first stay time of the overtime charge occupying vehicle in a charging parking space; and determining the first to-be-paid fee of the overtime charging occupying vehicle according to the first stay time length and the station charging rule.

In the embodiment, the residence time of the charging overtime occupying vehicle in the charging parking space can be accurately counted and recorded, and the residence time can be used as a charging basis to lay a foundation for whether the charging is received or not and whether the vehicle is allowed to leave or not in the follow-up process.

With reference to some embodiments of the first aspect, in some embodiments, after the step of determining a corresponding charging pile number according to the parking space number, the method further includes: after determining a charging gun use order corresponding to the charging pile number, determining an idle charging gun; acquiring a parking space image corresponding to the idle charging gun; identifying the parking space image based on an AI image identification technology, judging and detecting whether a gun inserting action exists in the off-site time period of the inbound vehicle; if the gun inserting action exists, acquiring a charging gun use order; if the gun inserting action does not exist, the incoming vehicle is determined to be an illegal occupying vehicle.

In the above embodiment, the service condition and the state of the charging gun of each charging pile are queried, the working load and the service condition of each charging pile can be known in detail, and whether the vehicle is charged in the corresponding charging pile can be judged by judging whether the idle charging gun has a gun inserting action in the off-site time period of the inbound vehicle, so that the illegal occupying vehicle which occupies the charging potential but is not charged can be identified. The problem that the charging behavior is missed only through parking stall judgment in the related art can also be avoided.

With reference to some embodiments of the first aspect, in some embodiments, after the step of determining the inbound vehicle as an offending placeholder vehicle, further comprises: acquiring a second stay time of the illegal occupying vehicle in the charging station; and determining a second fee to be paid of the illegal occupying vehicle according to the second stay time and the station charging rule.

In the above embodiment, similar to the first residence time, the actual residence time of the illegal placeholder in the charging station is precisely counted and recorded, and an important reference basis for charging is provided.

With reference to some embodiments of the first aspect, in some embodiments, after the step of determining the electric gun usage order corresponding to the charging pile number, the method further includes: judging whether the bound license plate number is matched with the vehicle information or not; if the vehicles are not matched, determining the inbound vehicle as an uncharged occupied vehicle; acquiring a third stay time of the uncharged space occupying vehicle in the charging parking space; and determining a third to-be-paid fee of the uncharged space occupying vehicle according to the third stay time and the station charging rule.

In the above embodiment, corresponding to the first and second residence time periods, charging for different types of offending vehicles is achieved, traffic order is further standardized, long-time invalid occupation of charging station resources is avoided, and management level is further improved.

In a second aspect, embodiments of the present application provide a parking charging system, including a server and an image capturing device, where the server is communicatively connected to the image capturing device, and the server includes:

the image information acquisition module is used for acquiring image information sent by the image acquisition equipment, wherein the image information comprises a vehicle moving track and vehicle information of an inbound vehicle within a set range;

the information determining module is used for determining the license plate type and the parking space number of the inbound vehicle from the image information based on an AI image recognition technology, wherein the license plate type comprises a new energy license plate;

the charging pile number determining module is used for determining a corresponding charging pile number according to the parking space number after determining that the license plate type is a new energy license plate;

the charging gun use order determining module is used for determining a charging gun use order corresponding to the charging pile number, wherein the charging gun use order comprises a binding license plate number corresponding to the charging gun;

the charging vehicle determining module is used for determining the inbound vehicle as a charging vehicle after detecting that the binding license plate number is matched with the vehicle information of the inbound vehicle;

the occupied time length detection module is used for detecting whether the occupied time length of the charging vehicle in the corresponding charging pile is longer than the occupied time length;

The charging overtime space occupying vehicle determining module is used for determining the charging vehicle as the charging overtime space occupying vehicle if the space occupying time is longer than the space occupying free time;

and the normal charging vehicle determining module is used for determining the charging vehicle as the normal charging vehicle if the occupied time is not longer than the occupied time.

In a third aspect, embodiments of the present application provide a server, including: one or more processors and memory; the memory is coupled to the one or more processors, the memory for storing computer program code comprising computer instructions that the one or more processors call to cause the one server to perform the method as described in the first aspect and any possible implementation of the first aspect.

In a fourth aspect, embodiments of the present application provide a computer program product comprising instructions which, when run on a server, cause the server to perform a method as described in the first aspect and any possible implementation of the first aspect.

In a fifth aspect, embodiments of the present application provide a computer-readable storage medium comprising instructions that, when executed on a server, cause the server to perform a method as described in the first aspect and any possible implementation of the first aspect.

It will be appreciated that the servers provided in the second aspect, the third aspect, the computer program product provided in the fourth aspect, and the computer storage medium provided in the fifth aspect are each configured to perform the method provided in the embodiment of the present application. Therefore, the advantages achieved by the method can be referred to as the advantages of the corresponding method, and will not be described herein.

One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:

1. the license plate type and the parking space number of the inbound vehicle are determined based on the AI image recognition technology, and the charging situation of the vehicle is detected by combining the binding license plate number of the order with the charging pile, so that the judgment of the energy type of the vehicle and the detection of the charging situation of each vehicle can be realized, the problems that the energy type of the vehicle cannot be judged and the charging situation cannot be detected in the prior art are effectively solved, and further the illegal occupation situation of the charging parking space which is occupied after the vehicle is charged can be recognized.

2. Because the working state of the charging gun of each charging pile is inquired, and whether the charging pile has the charging gun inserting action in the stay time of the inbound vehicle is detected based on the AI image recognition technology, the charging behavior judgment error generated by the parking space judgment can be avoided, the problem that the charging behavior is possibly generated by the parking space judgment in the prior art is effectively solved, and the accurate recognition of the illegal occupying vehicle is further realized.

3. Because the binding license plate number for detecting the using order of the charging gun is matched with the license plate number of the inbound vehicle, the situation of normal charging and illegal occupation of charging can be distinguished, the problem that the illegal occupation of vehicles but not charged cannot be identified in the prior art is effectively solved, and further accurate judgment of the uncharged occupation vehicles is realized.

Drawings

Fig. 1 is a schematic structural diagram of a method for determining illegal occupancy of a parking space of a charging station based on AI in an embodiment of the present application;

fig. 2 is a schematic flow chart of a method for determining illegal occupancy of a parking space of a charging station based on AI in the embodiment of the present application;

fig. 3 is another flow chart of a method for determining illegal occupancy of a parking space of a charging station based on AI in the embodiment of the present application;

FIG. 4 is a schematic diagram of a functional module structure of a server according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of a physical device of a server according to an embodiment of the present application.

Detailed Description

The terminology used in the following embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms as well, unless the context clearly indicates to the contrary. It should also be understood that the term "and/or" as used in this application is intended to encompass any or all possible combinations of one or more of the listed items.

The terms "first," "second," and the like, are used below for descriptive purposes only and are not to be construed as implying or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature, and in the description of embodiments of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.

For easy understanding, the application scenario of the embodiments of the present application is described below.

Mr. Wang drives his gasoline vehicle to a public charging station, who decides to park there temporarily and go nearby because of the convenience of the charging station location. And the management system of the charging station misjudges that the vehicle is an electric vehicle and opens the brake to release the vehicle by identifying license plate information of the mr, and the mr stops the vehicle on a charging pile position and does not charge the vehicle.

After a period of time, the new energy vehicle needs to be charged by the ms to reach the charging station. But all the charging piles in the charging station are occupied by other vehicles, and the ladies can only wait. She was very confused by seeing mr. King's gasoline car stopped on the charge level. But the management system does not recognize that this is a normal gasoline vehicle and does not take any action.

At this point, mr's new energy vehicle has completed charging, but he continues to stay on the charging station to handle other things. The management system does not monitor the charge of the mr's vehicle and therefore does not know that it has been charged and alerts mr that the charge should be vacated. The long occupancy of mr. Is hampering the use of other users, but the system neither determines it to be occupied over time nor takes any action.

In the related application scenario, the server cannot judge the energy type of the vehicle, cannot distinguish the new energy vehicle from the common fuel vehicle, and cannot distinguish the vehicles which are normally charged and occupied overtime without monitoring the working state of each charging pile and the charging condition of the vehicle, so that certain measures can be conveniently taken for the vehicles.

An application scenario of the AI-based charging station parking space illegal occupancy determination method of the present application is described below.

The management system identifies that the license plate number of the plum women vehicle belongs to a new energy license plate by acquiring data of the image acquisition equipment. The system determines the number of the charging pile where the woman is located according to the parking position of the woman, inquires the using order of the charging gun of the charging pile, and discovers that the woman has charged one charging gun at the charging pile. The system determines the vehicle of the plum woman as being a charging vehicle.

After the charging of the plum woman is completed, the system continuously monitors the stay time of the plum woman, if the free occupation time is exceeded, the vehicle of the plum woman is determined to be a charging overtime occupation vehicle, and overtime fees are charged for the charging overtime occupation vehicle. If the woman leaves immediately after the charging is completed, the system will determine her vehicle as a normal charging vehicle.

Therefore, the energy type of the vehicle can be judged by acquiring the vehicle image, identifying the license plate number by using an AI (Artificial Intelligence ) image identification technology and judging whether the license plate number belongs to a new energy license plate, so that the problem that the related technology cannot judge the energy type of the vehicle is effectively solved. The system obtains the use order of the charging guns through docking with the charging piles, and records the use condition of each charging gun, so that whether each vehicle is overcharged or not and the charging time can be judged, and the problems that the related technology cannot detect the charging condition and judge whether the charging is completed or not are effectively solved.

Referring to fig. 1, fig. 1 is a schematic structural diagram of a method for determining illegal parking space occupation of an AI-based charging station according to an embodiment of the present application.

In fig. 1, the charging station is provided with two access channels, namely an access channel and an outbound channel, which are respectively provided with a barrier gate and an image acquisition device; the image acquisition equipment can acquire image information in various forms such as static pictures, video streams and the like; the image acquisition equipment of the inbound channel can acquire license plates and other characteristic information of vehicles entering the inbound channel in real time; the image acquisition equipment of the outbound channel also acquires the information of the outbound vehicles in real time, the image acquisition equipment can be cameras, a plurality of distributed cameras are arranged in the charging station, and each camera can generally cover a plurality of adjacent parking spaces; the camera utilizes video analysis to track the dynamic behavior of the vehicle in and out of the parking space in real time.

In the figure 1, one image acquisition device can cover 3 parking spaces 1-3 of charging parking spaces simultaneously; a charging pile is arranged near the parking space 2, and can provide rapid charging for a plurality of vehicles at the same time.

The server can be positioned inside and outside the charging station, is also in butt joint with each image acquisition device through a network for real-time video stream transmission, and can also process and analyze the real-time video stream to realize functions such as license plate recognition and the like.

For ease of understanding, the method provided in this embodiment is described in the following in conjunction with the above scenario. Referring to fig. 2, fig. 2 is a flow chart of a method for determining illegal parking space occupation of a charging station based on AI in an embodiment of the present application. The method is applied to a server of the parking charging system, and the parking charging system further comprises image acquisition equipment, and the server is in communication connection with the image acquisition equipment. The method of the embodiment specifically comprises the following steps:

s201, acquiring image information sent by image acquisition equipment, wherein the image information comprises a vehicle moving track and vehicle information of an inbound vehicle in a set range;

the entrance, the exit and the charging parking place in the charging station can be provided with image acquisition equipment such as a camera, a plurality of parking places can be covered after the image acquisition equipment at the charging parking place is debugged, the image acquisition equipment is associated with a server, and the server can analyze, calculate and process the image pictures acquired by the image acquisition equipment.

The server is connected with image acquisition equipment arranged at the charging station, and when a vehicle enters the charging station area, the image acquisition equipment can shoot and record the vehicle to acquire mobile video image information of the vehicle within a set range. And then transmitting the acquired image information to a server. The server analyzes and processes the image information, and extracts specific information of each inbound vehicle, including movement tracks of the vehicle, such as movement tracks of the vehicle in the station after the vehicle enters the monitoring area, and vehicle information of the vehicle, such as license plate number, vehicle body color, vehicle brand model and the like.

Thus, for each inbound vehicle, the server side can acquire detailed movement track information and visual characteristic information of the inbound vehicle within a set monitoring range, and basic data support is provided for subsequent vehicle identification and processing judgment.

S202, determining the license plate type and the parking space number of the inbound vehicle from the image information based on an AI image recognition technology, wherein the vehicle type comprises a new energy license plate;

after the image information of the inbound vehicle is acquired, an AI image recognition technology is called in a server to analyze and judge the image information, and two information are mainly recognized and extracted: firstly, a license plate number of a vehicle; and secondly, judging whether the license plate is a new energy license plate special for the new energy electric vehicle or a non-new energy license plate of a common gasoline vehicle. The local new energy license plate has special identification, and the server can judge and identify through feature extraction. Meanwhile, the parking position of the vehicle can be analyzed by combining the moving track of the vehicle, and the parking space number is obtained. Therefore, the server can accurately acquire the license plate number, license plate type and parking position information of the inbound vehicle, and provides a key basis for subsequent charging management.

In some embodiments, the inbound vehicle may not stop on the charging space after entering the charging station, but stop at other positions, and the camera may not acquire the parking space number of the inbound vehicle, but only acquire the parking position information of the vehicle.

S203, after determining that the vehicle type is a new energy license plate, determining a corresponding charging pile number according to the parking space number;

after determining the license plate type of the inbound vehicle, the server can judge whether the license plate type is a special license plate of the new energy vehicle. If the identification result is the new energy license plate and the new energy automobile needs to be charged, the charging facility corresponding to the parking position can be determined. And searching in a mapping relation table between the parking space of the background management system and the charging pile number according to the parking space number of the vehicle in the server, and determining which charging pile corresponds to the parking space where the vehicle is located to obtain a specific charging pile number. Therefore, the charging pile information corresponding to each new energy electric vehicle which enters the station can be intuitively known.

S204, determining a charging gun use order corresponding to the charging pile number, wherein the charging gun use order comprises a binding license plate number corresponding to the charging gun;

After the charging pile number is obtained, the server inquires charging gun information contained in the charging pile number. Each charging gun needs to be bound with a charging order before use and can be bound with license plate number information of a vehicle to be charged. Therefore, the server can find corresponding charging gun use order information according to the charging stake number, wherein the corresponding charging gun use order information comprises license plate number information bound by each charging gun. This provides a basis for subsequent determination of the specific charge condition of each vehicle.

S205, after detecting that the binding license plate number is matched with the vehicle information of the inbound vehicle, determining the inbound vehicle as a charging vehicle;

in the previous step, the server has acquired the charging gun usage order corresponding to the charging pile, where the charging gun usage order includes the license plate number information bound by the charging gun. Next, the server needs to detect if the bound license plate number in the charging gun order matches the previously identified license plate number of the inbound vehicle. If there is a match, indicating that the inbound vehicle is performing an overcharging operation on the charging gun of the corresponding charging stake, it may be preliminarily determined that the vehicle is a charging vehicle.

For example, a vehicle with a license plate of Yue ABC123 enters a charging station and stops at a parking space corresponding to the charging pile 1, and a vehicle owner takes up a charging gun to charge. The binding license plate in the use order of the charging gun A of the charging pile 1 is Yue ABC123, and if the Yue ABC123 is detected to be matched with the license plate number of the vehicle, the vehicle can be considered to be charged by the charging gun A of the charging pile 1, namely, the vehicle is confirmed to be a charging vehicle.

S206, detecting whether the occupation time of the charging vehicle on the corresponding charging pile is longer than the occupation-free time;

for a new energy vehicle that has been identified as a charging vehicle, it is also necessary to continue to detect its residence time on the charging post to determine if it is time out to occupy the charging potential. A threshold time period of the free space can also be preset, for example 2 hours. The server needs to monitor the stay time of the charged vehicle on the charging pile in real time, and once the monitored stay time reaches or exceeds the threshold free time, the server can judge that the vehicle occupies a place overtime.

In the above example, if it is detected that the residence time of the cantonese ABC123 vehicle on the charging pile 1 has exceeded 2 hours, it can be considered that it is occupied over time. If the time is less than 2 hours, the time is also in the free occupation time range.

The time-consuming time of the free space is set by the manager of the charging station, and is not limited herein.

If the occupied time is longer than the occupied time, step S207 is executed;

if the occupancy time is not longer than the occupancy time, step S208 is performed.

S207, determining the vehicle in charge as a charge timeout occupying vehicle;

if the occupation time of the charging vehicle on the charging pile exceeds the free time threshold range, the illegal action of overtime occupation can be determined, and the illegal action is determined as the charging overtime occupation vehicle.

And S208, determining the charging vehicle as a normal charging vehicle.

If the occupied time of the charged vehicle on the charging pile is still within the free time threshold range, the vehicle can be determined to be used for normal charging, and illegal behavior of overtime occupied time is avoided.

Continuing the example, if the monitoring result shows that the Yue ABC123 vehicle leaves the charging pile 1 after only staying for 1 hour, the server can confirm that the vehicle is a normal charging vehicle, the charging facility is reasonably used, the vehicle does not occupy a place in a time-out manner, the Yue ABC123 vehicle which is normally charged does not need to pay the time-out fee, and other vehicles which occupy a place in a time-out manner need to pay the time-out fee to standardize the user behavior, so that the reasonable utilization of the charging resources is promoted.

In the above embodiment, by detecting the residence time of the charging vehicle, the situations of normal charging use and occupation of the charging potential due to overtime can be distinguished, and vehicles with different situations can be accurately divided, so as to lay a foundation for subsequent charging and other processes. By the method, the energy type of the vehicle can be judged, the charging condition of the vehicle can be detected, and further the illegal occupation condition of the charging parking space which is occupied after the vehicle is charged can be identified.

The flow of this embodiment is supplemented below. Referring to fig. 3, fig. 3 is another flow chart of a method for determining illegal parking space occupation of a charging station based on AI in the embodiment of the application.

S301, analyzing image information of vehicles in a set area based on a server;

the image acquisition device transmits the acquired image information to the server. The server analyzes the image information based on a deep learning algorithm to extract key information such as license plate information, vehicle types and the like, and provides basis for subsequent processing judgment.

The image information may be a set of a plurality of images or may be video image information, and is not limited herein.

S302, determining the license plate type and the parking space number of the inbound vehicle from the image information based on an AI image recognition technology;

this step is similar to step S202 and will not be described here.

S303, judging whether the license plate type of the inbound vehicle is a new energy license plate according to the image information;

after obtaining the license plate number and the type of the inbound vehicle according to the image information, the server judges whether the license plate number belongs to the license plate of the new energy vehicle. As a charging service provider, it is necessary to satisfy the charging demand of the new energy vehicle with priority. If the license plate is a special license plate for a local new energy vehicle according to the image information analysis, the license plate can be identified as having a charging requirement; otherwise, if the vehicle belongs to a common fuel license plate, the risk of occupying charging resources may exist.

If the license plate type of the inbound vehicle is not the new energy license plate, executing step S304 or S305;

if the license plate type of the inbound vehicle is a new energy license plate, step S308 is performed.

S304, sending an alarm instruction to the on-site audible and visual alarm equipment so that the on-site audible and visual alarm equipment sends an alarm signal;

if the license plate type of the inbound vehicle is detected to be not a new energy license plate, the server sends an alarm instruction to the on-site audible and visual alarm device, and the on-site audible and visual alarm device can carry out audible and visual alarm when receiving the instruction so as to warn, specifically, the non-new energy vehicle can be strongly warned in a horn alarm, lamplight flashing mode and the like, and further illegal parking charging is avoided.

S305, determining the inbound vehicle as an illegal inbound vehicle;

if the license plate type of the inbound vehicle is detected to be not a new energy license plate, the license plate type does not have a charging requirement, the license plate type is determined to be a illegal inbound vehicle, the vehicle does not belong to a using object of a charging service, and charging resources can be occupied when the vehicle enters a charging station area, so that the use of normal users is affected.

S306, recording the residence time of the illegal entry vehicle in the charging station;

After determining the inbound vehicle as a offending inbound vehicle, the server may initiate a timing program to monitor and record in real-time the length of stay of the offending inbound vehicle in the charging station area.

The charging station area is any position in the charging station, and is not limited to the parking space position for parking.

S307, determining illegal entrance parking fees according to the stay time of the illegal entering vehicles;

s308, determining a corresponding charging pile number according to the parking space number of the inbound vehicle;

if the license plate of the inbound vehicle is judged to be the new energy license plate, the corresponding vehicle has a charging requirement, and the server can also determine the charging position of the corresponding vehicle.

If the inbound vehicle arrives at the parking space, the corresponding parking space number is acquired through the image acquisition equipment around the parking space, and the server can inquire the mapping corresponding relation table of the parking space number and the charging pile established by the background management system so as to determine the charging pile number corresponding to the parking space where the inbound vehicle is located. Therefore, the charging pile where the new energy vehicle is parked can be intuitively known, and the subsequent determination of the charging service scheme is facilitated.

S309, inquiring the working state of the charging gun corresponding to the charging pile number;

After the charging pile number of the new energy vehicle is obtained, the server further inquires the working state of each charging gun contained in the charging pile. Specifically, the server can be connected with the data interface of each charging pile, and information of each charging gun is obtained in real time, including whether a vehicle is charging, the charging electric quantity and the like.

The working state of each charging gun in the charging pile is inquired, whether the new energy vehicle parked on the parking space can immediately obtain charging service can be judged, and if all the charging guns are occupied, the waiting time can be estimated.

S310, determining an idle charging gun according to the working state of the charging gun;

after the working state data of each charging gun corresponding to the charging pile number is obtained, the server can judge which charging guns are idle and unused currently.

In some embodiments, after determining the charging gun usage orders corresponding to the charging stake numbers, those are idle charging guns may be determined from the charging gun usage orders.

S311, detecting whether a gun inserting action exists in the off-site time period of the inbound vehicle or not based on an AI image recognition technology;

for the inbound vehicle determined to be the new energy vehicle, after the idle charging gun is found out in the charging pile number corresponding to the parking space, whether the vehicle is actually overcharged in the charging pile is further required to be further judged. Specifically, time information of the inbound vehicle entering and exiting the set area is acquired, a stay time period of the inbound vehicle in the set area is determined, an image of a charging pile in a corresponding area in the time period is acquired through image acquisition equipment in the corresponding area, analysis is carried out, and whether an idle charging gun of the charging pile has a gun inserting action or not is detected.

It should be noted that the setting area may be a setting range around the charging pile, that is, an area of a certain range around the parking space corresponding to the charging pile. The size of this area can be determined from the acquisition range of a camera arranged near a charging pile. For example, a camera can completely collect 2 charging positions, and then the collection range of the camera can be defined as a set area of the charging pile. Thus, in the set area, the information of the vehicle in the area can be acquired through the camera. Then, it is possible to detect whether or not a vehicle has performed a charging operation such as gun insertion or the like on the charging gun of the charging pile in this area within a certain period of time. If a charging action is detected, it can be determined that the vehicle is charged using the charging stake corresponding to the area. If not, it may be determined that the vehicle is not being charged.

If there is no gun action, executing step S312;

if there is a gun action, step S315 is performed.

S312, determining the inbound vehicle as an illegal occupying vehicle;

if the charging gun is detected to have no action of charging after the gun is inserted in the stay time of the inbound vehicle in the parking space, the behavior that the vehicle has illegal occupation can be determined, namely, the vehicle is parked on the charging position but not charged, and the server can divide the vehicle into 'illegal occupation vehicles'.

S313, acquiring a second stay time of the illegal occupying vehicle in the charging station;

as with the treatment of the offending entering vehicle, the server also needs to acquire the residence time of the vehicle determined to be offending occupancy in the charging station in real time, determine it as the second residence time, and provide a basis for subsequent fee calculation.

The term "inside the charging station" refers to any position inside the charging station, and is not limited to the parking space position for parking.

S314, determining a second fee to be paid of the illegal occupying vehicle according to the second stay time and the station charging rule;

after the second residence time is determined, a second fee to be paid for the offending space vehicle may be determined according to the station billing rules.

S315, determining a charging gun use order corresponding to the charging pile number, wherein the charging gun use order comprises a binding license plate number corresponding to the charging gun;

for inbound vehicles that are detected to have an over-gun charging action, there may be special cases such as: the car owner can insert the charging gun for charging only heuristically, but takes out the car soon without actually charging; the vehicle may be charged using a charging gun to which other vehicles are bound to the charging post. Therefore, whether the charging gun performs a normal and effective charging process needs to be further confirmed, and only under the condition that the license plate bound by the charging gun using order is matched with the license plate, the vehicle can be finally confirmed to be really charged by adopting the normal charging order. Specifically, after the charging pile number for parking the vehicle is determined, a charging gun use order corresponding to the charging pile is queried, and binding license plate number information in the order is obtained. The binding information can identify which vehicles are overcharged at the charging post. This step is similar to step S204 and will not be described here.

S316, detecting whether the bound license plate number is matched with the vehicle information of the inbound vehicle;

after obtaining the charging gun use order and the binding license plate information of the charging pile, whether the binding license plate number in the order is matched with the acquired license plate information of the inbound vehicle or not needs to be detected.

If so, the vehicle may be deemed to have used the charging service of the charging stake through a normal reservation order.

If the two types of the vehicles are not matched, the charging behavior of the gun of the vehicle is abnormal, and the situation that the order of other people is occupied by violation possibly exists, or the vehicle is parked near a parking space and is not charged.

If not, executing step S317;

if so, step S320 is performed.

S317, determining the inbound vehicle as an uncharged space occupying vehicle;

if the binding license plate number of the charging gun use order is not matched with the license plate information of the inbound vehicle, the vehicle can be determined not to be charged normally and effectively. The vehicle is determined to be an "uncharged space vehicle" at this time. Such vehicles are obviously illegal actions that occupy charge site resources but do not charge, and need to be identified for processing.

S318, acquiring a third stay time of the uncharged space occupying vehicle in the charged parking space;

For a vehicle that is determined to be an uncharged occupancy, it is also necessary to record its third residence time at the charging level as a basis for calculating the costs. This step is similar to S306 and will not be described here again.

S319, determining a third to-be-paid fee of the uncharged space occupying vehicle according to the third stay time length and the station charging rule;

after obtaining the third stay time of the uncharged occupied vehicle in the charging parking space, the server determines the third to-be-paid fee according to the station charging rule.

S320, after the occupation time of the inbound vehicle is detected, acquiring a first stay time of the charge overtime occupation vehicle in a charge parking space;

this step may be performed after step S207. And if the vehicle occupation exceeds the free duration threshold, judging that the vehicle occupation is the charge timeout occupation vehicle. And simultaneously determining the timeout period exceeding the threshold value as the first stay period so as to calculate the timeout cost.

In some embodiments, the first residence time may be all residence time of the vehicle with the overtime charge on the charging parking space, including a time required for the vehicle to perform normal charging, a threshold time of free occupancy of the vehicle (for example, 2 hours after full charging), and a timeout time of the vehicle with the residence time exceeding the free occupancy, or may be just the residence time of the vehicle exceeding the timeout time of the free occupancy, which may be specifically set by the charging station. For example, if a new energy vehicle stays in a charging parking space for 3 hours, normal charging requires 1 hour, and a free stay period is 2 hours, the first stay period of the vehicle may be 3 hours, or may be only 1 hour beyond the timeout period of the free occupation.

S321, determining a first to-be-paid fee of the overtime charging occupying vehicle according to the first stay time length and the station charging rule;

the station charging rule can be set by the charging station according to the self-demand, and after the first residence time is obtained, the first to-be-paid fee of the overtime charging occupying vehicle can be determined.

S322, detecting whether payment success information is received;

this step may be performed after steps S307, S314, S319, S321, all of which require statistics of payment information in the charging station for different types of offending vehicles.

After obtaining the illegal incoming parking fee, the first fee to be paid, the second fee to be paid and the third fee to be paid, when the vehicle is ready to go out, the server displays the corresponding fee through the exit station, and can be accompanied with a payable two-dimensional code or other charging channels, after knowing the fee spent by the vehicle owner in the charging station, the vehicle owner can pay by using the scanning of the mobile phone, and if the vehicle owner pays successfully, the server receives successful payment information of the fee.

If it is determined that the payment success information is not received, step S323 is performed.

If it is determined that the payment success information is received, step S324 is performed.

S323, controlling the barrier gate to put down;

if the server does not detect that the vehicle finishes the payment of the fee, determining that the vehicle owner does not pay, keeping the barrier gate closed and not releasing the barrier gate.

S324, controlling the opening of the barrier gate.

If the server detects that the vehicle has completed the calculated payment of the fee, and the payment is successful, the gateway can be controlled to be opened, and the vehicle is released.

In the embodiment, the functions of vehicle energy type judgment, charging demand judgment, charging pile availability status acquisition and the like are realized through image recognition and charging pile status inquiry, and a foundation is provided for subsequent vehicle charging service. By detecting the charging action and order matching, normal charging and various illegal occupation situations can be distinguished, and the identification effect is accurate. The whole flow realizes full-automatic supervision and treatment of the charging station vehicles, solves various problems existing in the prior art, achieves the purpose of improving the charging station management level and service quality, and realizes the intellectualization and refinement of vehicle management.

A server in an embodiment of the present application is described below from a module perspective. Referring to fig. 4, fig. 4 is a schematic structural diagram of a functional module of a server according to an embodiment of the present application.

An image information acquisition module 401, configured to acquire image information sent from an image acquisition device, where the image information includes a vehicle movement track and vehicle information of an inbound vehicle within a set range;

an information determining module 402, configured to determine, based on an AI image recognition technology, a license plate type of the inbound vehicle and a parking space number from the image information, where the license plate type includes a new energy license plate;

the charging pile number determining module 403 is configured to determine a corresponding charging pile number according to the parking space number after determining that the license plate type is a new energy license plate;

the charging gun use order determining module 404 is configured to determine a charging gun use order corresponding to the charging pile number, where the charging gun use order includes a binding license plate number corresponding to the charging gun;

a charging vehicle determining module 405, configured to determine the inbound vehicle as a charging vehicle after detecting that the bound license plate number matches the vehicle information of the inbound vehicle;

the occupation duration detection module 406 is configured to detect whether the occupation duration of the charging vehicle in the corresponding charging pile is greater than the occupation-free time duration;

a charging timeout occupied vehicle determining module 407, configured to determine the charging vehicle as a charging timeout occupied vehicle if the occupied time period is longer than the occupation free time period;

The normal charging vehicle determining module 408 is configured to determine the charging vehicle as a normal charging vehicle if the occupancy time is not greater than the occupancy time.

In some embodiments, the information determination module 402 specifically includes:

the illegal entry vehicle determining unit is used for determining the entry vehicle as the illegal entry vehicle after determining that the license plate type is a non-new energy license plate;

the alarm instruction generation unit is used for generating an alarm instruction according to the vehicle information of the illegal entering vehicle;

and the alarm instruction sending unit is used for sending an alarm instruction to the on-site audible and visual alarm equipment so as to enable the on-site audible and visual alarm equipment to send an alarm signal.

In some embodiments, the information determination module 402 further includes:

a stay time determining unit for recording the stay time of the illegal entering vehicle at the station;

the export information determining unit is used for acquiring export information of the illegal entering vehicle sent by the image acquisition equipment when the illegal entering vehicle enters an export, wherein the export information comprises vehicle information and departure time of the illegal entering vehicle;

the illegal entrance parking fee determining unit is used for determining illegal entrance parking fee according to the entrance time and the exit time of the illegal entering vehicle;

And the release instruction sending unit is used for sending a release instruction to the exit road gate after the illegal entrance parking fee is determined to be received.

In some embodiments, the charge timeout placeholder vehicle determination module 407 specifically includes:

the first stay time length acquisition unit is used for acquiring the first stay time length of the charging overtime occupying vehicle in the charging parking space;

and the first to-be-paid fee determining unit is used for determining the first to-be-paid fee of the overtime charging occupying vehicle according to the first stay time length and the station charging rule.

In some embodiments, the charging stake number determining module 403 specifically includes:

the idle charging gun determining unit is used for determining an idle charging gun after determining a charging gun use order corresponding to the charging pile number;

the parking space image acquisition unit is used for acquiring a parking space image corresponding to the idle charging gun;

the gun inserting action detection unit is used for identifying the parking space image based on an AI image identification technology and judging whether the idle charging gun has gun inserting action in the off-site time period of the inbound vehicle or not;

the charging gun use order acquisition unit is used for acquiring a charging gun use order if a gun inserting action exists;

and the illegal occupying vehicle determining unit is used for determining the inbound vehicle as the illegal occupying vehicle if the gun inserting action does not exist.

In some embodiments, the charging stake number determination module 403 further includes:

the second stay time length acquisition unit is used for acquiring the second stay time length of the illegal occupying vehicle in the charging station;

and the second payment cost determining unit is used for determining the second payment cost of the illegal occupying vehicle according to the second stay time and the station charging rule.

In some embodiments, the charging gun usage order determination module 404 specifically includes:

the binding license plate number matching unit is used for judging whether the binding license plate number is matched with the vehicle information or not;

an uncharged occupied vehicle determining unit, configured to determine the inbound vehicle as an uncharged occupied vehicle if the uncharged occupied vehicle is not matched;

the third stay time length acquisition unit is used for acquiring the third stay time length of the uncharged occupied vehicle in the charging parking space;

and the third payment charge determining unit is used for determining the third payment charge of the uncharged occupied vehicle according to the third stay time and the station charging rule.

A server in an embodiment of the present application is described above from the point of view of a modularized functional entity, and a server in an embodiment of the present application is described below from the point of view of hardware processing, please refer to fig. 5, fig. 5 is a schematic diagram of an entity device of the server in an embodiment of the present application.

The server 500 includes: one or more processors 501 (one processor 501 is illustrated in fig. 5), a memory 502, an input device 503, and an output device 504. In some embodiments of the present application, processor 501, memory 502, input device 503, and output device 504 may be connected by a bus or other means, with bus connections being exemplified in FIG. 5.

The processor 501 invokes the computer instructions to cause the computer program to be executed by the processor to implement an AI-based charging station parking space illegal occupancy determination method in the embodiments of the present application.

Memory 502 is used to store computer program code, which includes computer instructions.

The input device 503 is used to input image information.

The output device 504 is used to issue alarm information.

The above embodiments are merely for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.

As used in the above embodiments, the term "when …" may be interpreted to mean "if …" or "after …" or "in response to determination …" or "in response to detection …" depending on the context. Similarly, the phrase "at the time of determination …" or "if detected (a stated condition or event)" may be interpreted to mean "if determined …" or "in response to determination …" or "at the time of detection (a stated condition or event)" or "in response to detection (a stated condition or event)" depending on the context.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, from a website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk), etc.

Those of ordinary skill in the art will appreciate that implementing all or part of the above-described method embodiments may be accomplished by a computer program to instruct related hardware, the program may be stored in a computer readable storage medium, and the program may include the above-described method embodiments when executed. And the aforementioned storage medium includes: ROM or random access memory RAM, magnetic or optical disk, etc.

Claims

1. The utility model provides a parking stall of charging station violating occupation discrimination method based on AI which characterized in that is applied to the server of parking charging system, parking charging system still includes image acquisition device, the server with image acquisition device communication connection, the method includes:

acquiring image information sent by image acquisition equipment, wherein the image information comprises vehicle movement tracks of inbound vehicles in a set range and vehicle information, and the vehicle information comprises license plate numbers, vehicle body colors and vehicle brand models;

determining the license plate type of the inbound vehicle and the parking position information of the vehicle from the image information based on an AI image recognition technology, wherein the license plate type comprises a new energy license plate, and the parking position information comprises a parking space number;

After the license plate type is determined to be a new energy license plate, determining a corresponding charging pile number according to the parking space number;

after determining a charging gun use order corresponding to the charging pile number, determining an idle charging gun;

acquiring a parking space image corresponding to the idle charging gun;

identifying the parking space image based on an AI image identification technology, and judging whether the idle charging gun has a gun inserting action in a departure time period of the inbound vehicle;

if the gun inserting action exists, acquiring a charging gun use order;

if the gun inserting action does not exist, determining the inbound vehicle as an illegal occupying vehicle;

acquiring a second stay time of the illegal occupying vehicle in the charging station;

determining a second fee to be paid of the illegal occupying vehicle according to the second stay time and the station charging rule;

determining a charging gun use order corresponding to the charging pile number, wherein the charging gun use order comprises a binding license plate number corresponding to the charging gun;

after detecting that the binding license plate number is matched with the vehicle information of the inbound vehicle, determining the inbound vehicle as a charging vehicle;

detecting whether the occupation time of the charging vehicle on the corresponding charging pile is longer than the occupation-free time;

If the occupied time is longer than the occupied time free time, determining the vehicle in charge as a vehicle with overtime occupied by charging;

acquiring a first stay time of the overtime charge occupying vehicle in a charging parking space;

determining a first to-be-paid fee of the overtime charging occupying vehicle according to the first stay time length and the station charging rule;

and if the occupied time is smaller than or equal to the occupied time free time consuming time, determining the charging vehicle as a normal charging vehicle.

2. The method according to claim 1, further comprising, after the step of determining the license plate type of the inbound vehicle, the parking space number from the image information:

after the license plate type is determined to be a non-new energy license plate, determining the inbound vehicle as an illegal inbound vehicle;

generating an alarm instruction according to the vehicle information of the illegal entering vehicle;

and sending an alarm instruction to the on-site audible and visual alarm equipment so that the on-site audible and visual alarm equipment sends an alarm signal.

3. The method of claim 2, further comprising, after the step of determining the inbound vehicle as a offending inbound vehicle:

Recording the residence time of the illegal entering vehicle at a station;

when the illegal entering vehicle enters an exit, acquiring exit information of the illegal entering vehicle sent by the image acquisition equipment, wherein the exit information comprises vehicle information and exit time of the illegal entering vehicle;

determining the illegal entrance parking fee according to the entrance time and the exit time of the illegal entering vehicle;

and after determining that the completion instruction of the illegal entrance parking fee is received, sending a release instruction to the exit gateway.

4. The method of claim 1, further comprising, after the step of determining the gun usage order corresponding to the charging stake number:

judging whether the bound license plate number is matched with the vehicle information or not;

if the vehicles are not matched, determining the inbound vehicles as uncharged space occupying vehicles;

acquiring a third stay time of the uncharged space occupying vehicle in the charging parking space;

and determining a third payment to be paid of the uncharged space occupying vehicle according to the third stay time and the station charging rule.

5. A parking charging system comprising a server and an image acquisition device, the server being communicatively coupled to the image acquisition device, the server comprising:

The image information acquisition module is used for acquiring image information sent by the image acquisition equipment, wherein the image information comprises vehicle movement tracks of inbound vehicles in a set range and vehicle information, and the vehicle information comprises license plate numbers, vehicle body colors and vehicle brand models;

the information determining module is used for determining the license plate type of the inbound vehicle and the parking position information of the vehicle from the image information based on an AI image recognition technology, wherein the license plate type comprises a new energy license plate, and the parking position information comprises a parking space number;

the charging pile number determining module is used for determining a corresponding charging pile number according to the parking space number after determining that the license plate type is a new energy license plate; after determining a charging gun use order corresponding to the charging pile number, determining an idle charging gun;

acquiring a parking space image corresponding to the idle charging gun;

if the gun inserting action exists, acquiring a charging gun use order;

the charging vehicle determining module is used for determining the entering vehicle as a charging vehicle after detecting that the binding license plate number is matched with the vehicle information of the entering vehicle;

the charging overtime occupying vehicle determining module is used for determining the charging vehicle as the charging overtime occupying vehicle if the occupying time is longer than the occupying-free time; acquiring a first stay time of the overtime charge occupying vehicle in a charging parking space;

6. A server, comprising:

one or more processors and memory; the memory is coupled to the one or more processors, the memory for storing computer program code comprising computer instructions that the one or more processors invoke to cause the server to perform the method of any of claims 1-4.

7. A computer readable storage medium comprising instructions which, when run on a server, cause the server to perform the method of any of claims 1-4.