A smart station electricity stealing behavior monitoring method and system

Abstract

This application provides a method and system for monitoring electricity theft at smart charging stations. In the method of this application, during the charging handshake phase, based on the charging operation image information and vehicle identification of the target charging vehicle, the authenticity of the physical charging scenario can be verified through visual monitoring. This allows for the monitoring of overt electricity theft behavior involving falsified vehicle identification information without a corresponding vehicle model. If the initial electricity theft determination result is negative, a secondary electricity theft determination is performed during the charging process by integrating real-time output parameters of the charging pile, vehicle charging attributes, and real-time feedback data. This effectively identifies electricity theft phenomena caused by the modification of high-power output interfaces inside the vehicle. This achieves electricity theft behavior determination in complex scenarios, effectively improving the comprehensiveness and accuracy of electricity theft detection.

Description

Technical Field

[0001] This application relates to the field of charging pile application technology, and in particular to a method and system for monitoring electricity theft in smart charging stations. Background Technology

[0002] With the widespread adoption of new energy electric vehicles, charging piles and corresponding charging stations are widely used to supply electricity to these vehicles. Currently, because the price of electricity supplied by charging piles in charging stations is cheaper than that of grid electricity, some individuals are attempting to steal electricity by carrying energy storage devices other than those used in vehicles. In these current electricity theft scenarios, some individuals often modify their vehicles to carry additional large-capacity energy storage devices and use specially designed adapters to simulate specific signals transmitted by the vehicle's internal BMS (Battery Management System) during the handshake phase. This misleads the charging pile into misjudging the vehicle as charging normally, resulting in huge electricity bill losses for power supply companies. Furthermore, these energy storage devices used for electricity theft also pose a risk of overheating.

[0003] Therefore, accurately identifying electricity theft based on charging piles in current smart charging stations has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0004] In view of the above problems, in order to accurately identify the electricity theft behavior based on charging piles in smart charging stations, this application provides a monitoring method and system for electricity theft behavior in smart charging stations.

[0005] The embodiments of this application disclose the following technical solutions:

[0006] In a first aspect, embodiments of this application provide a method for monitoring electricity theft at smart power stations, the method comprising:

[0007] During the charging handshake phase between the target charging pile and the target charging vehicle, the charging vehicle identifier uploaded by the target charging vehicle and the charging operation image information of the target charging pile are obtained.

[0008] A preliminary determination of electricity theft is made based on the charging vehicle identification and the charging operation image information to determine the preliminary electricity theft determination result.

[0009] If the initial determination of electricity theft is negative, the current charging parameters of the target charging pile and the vehicle charging attribute information of the target charging vehicle are obtained, and the charging permission of the target charging pile for the target charging vehicle is granted.

[0010] During the process of the target charging vehicle charging through the target charging pile, a secondary power theft determination is performed based on the charging parameters of the target charging pile, the vehicle charging attribute information, and the charging parameters fed back by the target charging vehicle in real time, in order to determine whether the target charging vehicle is engaging in power theft.

[0011] In one possible implementation, the charging parameters of the target charging pile include: the initial power level of the target charging pile; the vehicle charging attribute information includes: the current power level of the target charging vehicle, the charging protocol associated with the charging vehicle identifier, battery health data, and the target charging mode; the real-time feedback charging parameters include: real-time output power.

[0012] The step of performing a secondary power theft determination based on the charging parameters of the target charging pile, the vehicle charging attribute information, and the real-time charging parameters fed back by the target charging vehicle to determine whether the target charging vehicle is engaging in power theft includes:

[0013] Based on the current battery level of the target charging vehicle and a preset battery level increment range, the current battery level of the target charging vehicle is dynamically adjusted to obtain a dynamic battery level detection node.

[0014] Based on the initial power of the target charging pile, the real-time output power, the target charging mode, the battery health data, and the charging protocol associated with the charging vehicle identifier, the charging time required for the target charging vehicle to charge from the current power to the dynamic power detection node is predicted.

[0015] A secondary power theft determination is performed based on the charging time required for the target charging vehicle to charge from its current power level to the dynamic power detection node, in order to determine whether the target charging vehicle is engaging in power theft.

[0016] In one possible implementation, the secondary power theft determination based on the charging time required for the target charging vehicle to charge from the current power level to the dynamic power detection node, to determine whether the target charging vehicle is engaging in power theft, includes:

[0017] After the charging time required for the target charging vehicle to charge from its current charge level to the dynamic charge detection node, the second current charge level of the target charging vehicle is obtained;

[0018] The second current battery level of the target charging vehicle is compared with the dynamic battery level detection node to determine whether the target charging vehicle is stealing electricity.

[0019] If the difference between the dynamic power detection node and the second current power is greater than a preset threshold, it is determined that the target charging vehicle is stealing electricity.

[0020] If the difference between the dynamic power detection node and the second current power level is not greater than a preset threshold, then it is determined that the target charging vehicle does not engage in power theft.

[0021] In one possible implementation, the charging operation image information includes: a monitoring image of the charging area of ​​the target charging pile and an image of the charging interface into which the charging gun of the target charging pile is inserted;

[0022] The preliminary determination of electricity theft based on the charging vehicle identification and the charging operation image information, to determine the preliminary electricity theft determination result, includes:

[0023] Based on the monitoring image of the charging area and the identification of the charging vehicle, a first preliminary determination of electricity theft is made to determine the first determination result;

[0024] If the first determination result is yes, the first determination result is determined as the preliminary electricity theft determination result;

[0025] If the first determination result is negative, a second preliminary determination of electricity theft is made based on the charging interface image and the charging vehicle identification to determine the preliminary determination result of electricity theft.

[0026] In one possible implementation, the step of performing a first preliminary determination of electricity theft based on the monitoring image of the charging area and the identification of the charging vehicle, to determine the first determination result, includes:

[0027] Based on the monitoring image of the charging area and the vehicle identification mark, determine whether there is a vehicle model matching the vehicle identification mark within the charging range of the target charging pile;

[0028] If there is no vehicle model matching the charging vehicle identifier within the charging range, then the first determination result is determined to be yes;

[0029] If a vehicle model matching the charging vehicle identifier exists within the charging range, then the first determination result is determined to be negative.

[0030] In one possible implementation, the second preliminary electricity theft determination based on the charging interface image and the charging vehicle identification, to determine the preliminary electricity theft determination result, includes:

[0031] Based on the charging interface image and the charging vehicle identification, determine whether the charging interface into which the charging gun is inserted matches the charging vehicle identification;

[0032] If the charging port into which the charging gun is inserted matches the vehicle identification mark, then the preliminary determination of electricity theft is negative.

[0033] If the charging port into which the charging gun is inserted does not match the vehicle identification number, then the preliminary determination of electricity theft is confirmed.

[0034] In one possible implementation, after performing a secondary electricity theft determination to ascertain whether the target charging vehicle is engaging in electricity theft, the method further includes:

[0035] If it is determined that the target charging vehicle is stealing electricity, the power supply from the target charging pile to the target charging vehicle is maintained, and the location information of the target charging pile is sent to the interactive terminal to receive the processing result of the electricity theft behavior from the interactive terminal; the interactive terminal is used to send the processing result of the electricity theft behavior to the control terminal of the smart station.

[0036] If no feedback on the power theft behavior processing result is received from the interactive terminal within a preset time period, the power supply from the target charging pile to the target charging vehicle will be terminated.

[0037] In one possible implementation, the smart station includes: a turnstile system for controlling the opening and closing of the gates within the smart station;

[0038] After performing a secondary electricity theft determination to ascertain whether the target charging vehicle has engaged in electricity theft, the method further includes:

[0039] If it is determined that the target charging vehicle is stealing electricity, the license plate number of the target charging vehicle is obtained and sent to the gate system in the smart station, so that the gate system keeps the gate closed when it detects that the target charging vehicle is about to leave the smart station.

[0040] In one possible implementation, the smart station includes a charging pile camera system, which includes multiple cameras for acquiring image information of the charging operation, and the combined view of all the cameras covers the vehicle charging area corresponding to each charging pile in the smart station.

[0041] The method for acquiring the charging operation image information of the target charging pile includes:

[0042] The charging operation image information of the target charging pile is obtained through the camera configured on the target charging pile;

[0043] If the camera configured on the target charging pile cannot acquire the charging operation image, the charging operation image information is acquired through all the cameras in the charging pile camera system;

[0044] If the camera configured on the target charging pile is capable of acquiring the charging operation image, the charging operation image information of the target charging pile can be acquired through the camera configured on the target charging pile.

[0045] Secondly, embodiments of this application provide a monitoring system for electricity theft at smart power stations, the system comprising:

[0046] The first acquisition module is used to acquire the charging vehicle identifier uploaded by the target charging vehicle and the charging operation image information of the target charging pile during the charging handshake phase between the target charging pile and the target charging vehicle.

[0047] The first electricity theft determination module is used to make a preliminary electricity theft determination based on the charging vehicle identification and the charging operation image information, so as to determine the preliminary electricity theft determination result;

[0048] The second acquisition module is used to acquire the current charging parameters of the target charging pile and the vehicle charging attribute information of the target charging vehicle when the preliminary electricity theft determination result is negative, and to grant the target charging pile charging permission for the target charging vehicle.

[0049] The second electricity theft detection module is used to perform a second electricity theft detection based on the charging parameters of the target charging pile, the vehicle charging attribute information, and the charging parameters fed back by the target charging vehicle in real time during the process of the target charging vehicle charging through the target charging pile, so as to determine whether the target charging vehicle has engaged in electricity theft.

[0050] Compared with existing technologies, this application has the following beneficial effects: This application provides a method and system for monitoring electricity theft at smart charging stations. In the method of this application embodiment, during the charging handshake phase between the target charging pile and the target charging vehicle, the charging vehicle identifier uploaded by the target charging vehicle and the charging operation image information of the target charging pile are obtained; a preliminary electricity theft determination is made based on the charging vehicle identifier and the charging operation image information to determine the preliminary electricity theft determination result; if the preliminary electricity theft determination result is negative, the current charging parameters of the target charging pile and the vehicle charging attribute information of the target charging vehicle are obtained, and the charging permission of the target charging pile for the target charging vehicle is granted; during the charging process of the target charging vehicle through the target charging pile, a secondary electricity theft determination is made based on the charging parameters of the target charging pile, the vehicle charging attribute information, and the charging parameters fed back by the target charging vehicle in real time to determine whether the target charging vehicle is engaging in electricity theft. This method, during the charging handshake phase, uses visual monitoring to verify the authenticity of the physical charging scenario based on the charging operation image information and vehicle identification of the target vehicle. This allows for the detection of overt battery theft by using forged vehicle identification information without a corresponding vehicle model. If the initial battery theft determination is negative, a secondary battery theft determination is performed during the charging process by integrating real-time output parameters of the charging pile, vehicle charging attributes, and real-time feedback data. This effectively identifies battery theft caused by modifications to high-power output interfaces within the vehicle. Therefore, even if the handshake signal transmitted by the BMS can be simulated, battery theft can still be monitored using the charging pile parameters and vehicle charging attribute information during the charging process. This forms a complete battery theft monitoring chain from vehicle identity verification to real-time charging, covering both battery theft based on external devices and battery theft based on internal modifications. This enables battery theft detection in complex scenarios and effectively improves the comprehensiveness and accuracy of battery theft detection. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] Figure 1 A flowchart illustrating a method for monitoring electricity theft at a smart power station, provided in an embodiment of this application;

[0053] Figure 2 This application provides a schematic diagram of a smart station structure.

[0054] Figure 3 A flowchart illustrating a preliminary electricity theft determination method provided in this application embodiment;

[0055] Figure 4 This application provides a flowchart illustrating a secondary electricity theft detection method.

[0056] Figure 5 This is a schematic diagram of the structure of a smart power station monitoring system for electricity theft, provided as an embodiment of this application. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with specific embodiments and accompanying drawings. It should be particularly noted that the embodiments described in this application are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0058] It should be noted that, unless otherwise defined, the technical or scientific terms used in the embodiments of this application should have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms "first," "second," and similar terms used in the embodiments of this application do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are only used to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0059] As new energy electric vehicles become more widespread, charging piles and corresponding charging stations are also widely used to supply electricity to these vehicles. Currently, because the price of electricity from charging piles in charging stations is cheaper than that from the grid, some individuals are stealing electricity by bringing energy storage devices other than those used in vehicles. In these current electricity theft scenarios, some individuals often modify their vehicles to carry additional large-capacity energy storage devices and use specially designed adapters to simulate specific signals transmitted by the vehicle's internal BMS (Battery Management System) during the handshake phase. This misleads the charging pile into misjudging the vehicle as charging normally, causing power companies to suffer huge losses in electricity bills. Furthermore, these energy storage devices used for electricity theft also pose a risk of overheating.

[0060] To address the aforementioned issues, this application provides a method and system for monitoring electricity theft at smart charging stations. In the method of this application, during the charging handshake phase between the target charging pile and the target charging vehicle, the charging vehicle identifier uploaded by the target charging vehicle and the charging operation image information of the target charging pile are acquired. A preliminary electricity theft determination is made based on the charging vehicle identifier and the charging operation image information to determine the preliminary electricity theft determination result. If the preliminary electricity theft determination result is negative, the current charging parameters of the target charging pile and the vehicle charging attribute information of the target charging vehicle are acquired, and the charging permission of the target charging pile for the target charging vehicle is granted. During the charging process of the target charging vehicle through the target charging pile, a secondary electricity theft determination is performed based on the charging parameters of the target charging pile, the vehicle charging attribute information, and the charging parameters fed back by the target charging vehicle in real time to determine whether the target charging vehicle is engaging in electricity theft. Through this method, during the charging handshake phase, based on the charging operation image information and charging vehicle identifier of the target charging vehicle, the authenticity of the physical charging scenario can be verified through visual monitoring, thereby monitoring overt electricity theft behavior involving falsified vehicle identifier information but without a corresponding vehicle model. If the initial determination of battery theft is negative, a secondary determination is made during the charging process by integrating real-time output parameters of the charging pile, vehicle charging attributes, and real-time feedback data. This effectively identifies battery theft caused by modifications to high-power output interfaces inside the vehicle. Even if the handshake signal transmitted by the BMS can be simulated, battery theft can still be monitored through the charging parameters of the charging pile and the vehicle charging attribute information during the charging process. This forms a complete battery theft monitoring chain from vehicle identity verification to real-time charging, covering both battery theft based on external devices and battery theft based on internal modifications. This enables battery theft detection in complex scenarios and effectively improves the comprehensiveness and accuracy of battery theft detection.

[0061] It should be noted beforehand that the electricity theft monitoring method provided in this application is applied to the control terminal within a smart charging station. The control terminal establishes a communication connection with multiple charging piles installed within the station, and uses the data and images fed back by the charging piles to determine in real time whether any charging pile is engaging in electricity theft.

[0062] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0063] See Figure 1 The figure is a flowchart illustrating a method for monitoring electricity theft at a smart power station according to an embodiment of this application, specifically including the following steps:

[0064] S101: During the charging handshake phase between the target charging pile and the target charging vehicle, obtain the charging vehicle identifier uploaded by the target charging vehicle and the charging operation image information of the target charging pile.

[0065] In this embodiment, the target charging vehicle is a vehicle being charged via the target charging station. When the charging gun on the target charging station is inserted into the charging port on the target vehicle, the target vehicle enters the charging handshake phase with the target charging station. The charging handshake phase, as the initial step in establishing a communication connection between the charging station and the vehicle, is a core scenario for identity verification. In traditional charging processes, the charging station mainly relies on the communication protocol uploaded by the vehicle and vehicle identification information used to characterize the vehicle model to complete the handshake. However, with the increasing sophistication of electricity theft techniques, there are now technologies that can synchronously use a single external energy storage device to simulate the communication protocol and vehicle information required for the handshake phase. Therefore, the conventional handshake process of the charging station is no longer sufficient to combat fraudulent signals.

[0066] Therefore, in order to identify electricity theft caused by the forgery of communication protocols and vehicle identification, during the charging handshake phase between the target charging vehicle and the target charging pile, in addition to obtaining the charging vehicle identification, it is necessary to additionally obtain images of the charging operation of the target charging pile. This will allow for subsequent determination of whether there is electricity theft caused by the forgery of vehicle identification based on the charging vehicle identification and the images of the charging operation in the physical scene.

[0067] In this embodiment, a dedicated camera is installed for each charging pile, and the charging operation images of each charging pile are acquired through its configured camera. The charging operation images are taken of the vehicle charging area of ​​the charging pile, including a monitoring image of the charging area covering the target vehicle and an image of the charging port into which the charging gun of the target charging pile is inserted. The charging area monitoring image has a wide field of view, reflecting the vehicle models present around the target charging pile, and the target vehicle can be identified by the direction of its own charging gun cable. The charging port image focuses on the target vehicle, aiming to clearly represent the charging port used by the target vehicle for charging, in order to address scenarios of electricity theft caused by modifications to vehicle internal equipment.

[0068] However, in actual electricity theft scenarios, to avoid being captured by cameras, thieves may sometimes use external obstacles to block the cameras installed on charging stations, thus affecting the capture of images of the charging operation. To address this issue, this embodiment installs a charging station camera system within the smart charging station (see details...). Figure 2 The disclosed schematic diagram of a smart charging station structure shows that the charging pile camera system includes multiple cameras for acquiring charging operation image information. The combined viewing angle of these cameras can cover the vehicle charging operation area corresponding to each charging pile. Thus, even if the electricity thief blocks the camera configured on the charging pile where the electricity is currently being stolen, the acquisition of charging operation image information cannot be prevented, thereby ensuring the stability of electricity theft monitoring.

[0069] Specifically, acquiring charging operation image information of a target charging pile based on a charging pile camera system is achieved through the following three steps:

[0070] Step 1: Obtain charging operation image information of the target charging pile through the camera configured on the target charging pile;

[0071] Step 2: If the camera configured on the target charging pile cannot acquire the charging operation image, the charging operation image information is acquired through all cameras in the charging pile camera system;

[0072] Step 3: If the camera configured on the target charging pile is capable of acquiring the charging operation image, the charging operation image information of the target charging pile is acquired through the camera configured on the target charging pile.

[0073] First, when the camera on the target charging station is functioning properly, the system prioritizes using that camera to acquire images of the charging operation. However, if the target charging station's built-in camera fails to acquire images due to malfunction, obstruction, or blind spots, the system automatically switches to the global monitoring mode of the charging station's camera system. This mode utilizes multiple cameras deployed throughout the smart charging station to collaboratively collect images. These cameras can be dedicated to the smart charging station (e.g., cameras mounted on streetlights) or cameras installed on other charging stations. The cameras within the station are arranged in a grid pattern to cover the charging areas of all charging stations. Their combined perspectives eliminate blind spots from individual cameras, creating a comprehensive visual monitoring network over the entire station. For example, if a charging station's local camera is unable to capture images of the charging interface due to a vehicle's parking angle, nearby cameras can automatically adjust their focus or angle through this linkage mechanism, stitching together images from other cameras to fully recreate the real-time charging operation scene.

[0074] The redundant design of the cameras in this embodiment can address the problem of a single charging pile camera failure. Furthermore, through the collaborative complementarity of multiple cameras, the comprehensiveness of image acquisition in complex scenarios is improved—whether it's unconventional vehicle parking, temporary equipment malfunction, or the deliberate avoidance of local cameras by electricity thieves, seamless monitoring can be achieved through the global camera network. In one possible implementation, it's worth noting that when the system switches to global mode (i.e., acquiring charging operation image information through all cameras within the charging pile camera system), it automatically filters valid viewpoints based on image recognition algorithms to avoid interference from invalid data, ensuring data processing efficiency while maintaining information integrity.

[0075] S102: Based on the charging vehicle identification and the charging operation image information, a preliminary determination of electricity theft is made to determine the preliminary determination result of electricity theft.

[0076] After obtaining the charging vehicle identification and the charging operation image information of the target charging pile, the system makes a preliminary judgment on whether the current charging equipment matches the charging vehicle identification based on the charging vehicle identification uploaded by the target charging vehicle and the actual charging operation scenario.

[0077] The core of this step lies in using vehicle identification (such as vehicle model, unique vehicle code, and other digital information) and monitoring images of the charging area to initially determine if electricity theft is occurring. Firstly, it verifies whether a real vehicle model matching the vehicle identification exists within the charging range of the charging pile. Secondly, it uses images of the charging interface to determine whether the interface into which the charging gun is inserted matches the standard interface shape and specifications corresponding to the vehicle identification, preventing electricity theft attempts to slip through the cracks by "forged protocols but abnormal physical connections." The key function of this step is to eliminate obvious violations such as "no real vehicle connected" and "interface mismatch" at the initial stage of the charging process, screening out clearly abnormal charging behaviors. This reduces resource consumption in ineffective charging processes and establishes the first line of defense against basic electricity theft methods such as forged signals and modified equipment, reducing the burden on subsequent in-depth detection and laying a reliable initial data foundation.

[0078] Specifically, the preliminary electricity theft determination process in this step is implemented through the following three steps:

[0079] Step 1: Based on the monitoring image of the charging area and the identification of the charging vehicle, make a first preliminary determination of electricity theft to determine the first determination result;

[0080] Step 2: If the first determination result is yes, then the first determination result is determined as the preliminary electricity theft determination result.

[0081] As can be seen from the preceding introduction to the charging operation image information, in this embodiment of the application, the charging operation image information mainly includes the charging area monitoring image of the target charging pile and the charging interface image of its charging gun being inserted, thereby forming a progressive screening of "vehicle model existence verification - interface matching verification" to achieve accurate filtering of different levels of electricity theft risks.

[0082] Therefore, the first preliminary determination of battery theft requires verification of vehicle existence based on the charging area monitoring images. This involves comparing the vehicle identification (model) uploaded during the handshake phase with the charging area monitoring images in real time to determine if a real vehicle matching the identification exists within the charging range of the target charging station. For example, if the vehicle identification shows a pure electric sedan of a certain brand, but no cars are parked around the charging station in the monitoring image, or the appearance characteristics of parked vehicles (such as model outline, logo, and charging port location) significantly differ from the identification information, then the first result is directly determined as yes, indicating suspected battery theft.

[0083] Step 3: If the first determination result is negative, a second preliminary determination of electricity theft is made based on the charging interface image and the charging vehicle identification to determine the preliminary determination result of electricity theft.

[0084] Conversely, if the first judgment result is negative, that is, when the vehicle model matches and the corresponding vehicle exists in the physical scene, it will not be directly determined that the preliminary determination of battery theft has passed. Instead, it will enter a more refined second preliminary judgment stage, that is, to verify the interface matching based on a more refined charging interface image and vehicle identification.

[0085] This step is designed to address the increasingly covert nature of electricity theft. Some thieves may modify charging interfaces or install adapters inside vehicles to connect to high-power energy storage devices. Therefore, to further detect such theft, if the initial preliminary determination is negative, it's necessary to further verify whether the actual interface the charging gun is inserted into matches the standard interface identified on the vehicle. For example, the DC fast charging interface of vehicles using national standard charging has a specific physical form and pin definitions. If image recognition detects that the charging gun is inserted into a modified non-standard interface or has abnormal connections such as "one-to-many" adapters, it can be determined that the vehicle is suspected of electricity theft, and the preliminary determination is positive. This progressive determination, from vehicle model presence to interface compliance, can quickly eliminate obvious anomalies through the initial preliminary determination, preventing invalid data from entering subsequent complex detection processes. Furthermore, the second-level determination can nip the theft of vehicles disguised as compliant vehicles with modified interfaces in the bud before charging access is granted, thereby improving the accuracy of electricity theft detection and laying a solid foundation for front-end screening throughout the monitoring process.

[0086] Next, the process of performing the preliminary electricity theft determination will be described with reference to the accompanying drawings of specific embodiments. See also Figure 3 The figure is a flowchart illustrating a preliminary method for determining electricity theft according to an embodiment of this application, specifically including the following steps:

[0087] S1021: Based on the monitoring images of the charging area and the vehicle identification markings, determine whether there is a vehicle model matching the vehicle identification markings within the charging range of the target charging pile;

[0088] S1022: If there is no vehicle model matching the charging vehicle identification within the charging range, then the first preliminary determination of electricity theft is confirmed as yes;

[0089] S1023: If there is a vehicle model within the charging range that matches the vehicle identification number, then the first determination result is determined to be no;

[0090] S1024: Determine whether the charging port into which the charging gun is inserted matches the charging vehicle identification based on the charging port image and the charging vehicle identification.

[0091] S1025: If the charging port into which the charging gun is inserted matches the charging vehicle identification, and the charging port image matches the charging vehicle identification, then the preliminary electricity theft determination result is determined to be no.

[0092] S1026: If the charging port into which the charging gun is inserted does not match the vehicle identification mark, and the image of the charging port does not match the vehicle identification mark, then the preliminary determination of electricity theft is confirmed as yes.

[0093] As can be seen from the execution flow in the diagram, the core of the progressive judgment process from "vehicle model existence verification" to "interface compliance verification" constructed in this embodiment lies in first eliminating obvious anomalies and then identifying potential electricity theft risks. First, based on the vehicle model characteristics carried by the charging vehicle identification (such as vehicle outline, logo, wheelbase, charging port location, etc.), a real-time comparison is performed with the monitoring image of the charging area to accurately identify whether there is a matching vehicle model within the charging range of the target charging pile. For example, if the vehicle identification shows a white compact SUV and its standard charging port is located on the left rear fender, the monitoring screen will search for vehicles that meet the above characteristics within the charging range of the target charging pile. If there are no vehicles in the area in the image, or the parked vehicle is a black sedan and the charging port location is obviously inconsistent, the judgment logic of S1022 is directly triggered, and the first preliminary electricity theft judgment result is determined to be yes.

[0094] Conversely, when S1023 determines that a matching vehicle model exists within the charging range of the target charging pile (i.e., the first determination result is negative), the system does not stop screening but proceeds to a more refined second-stage verification (S1024 to S1026), focusing on the core issue of whether the actual charging interface matches the vehicle's identification. At this point, electricity theft may exhibit more covert characteristics. The thief may use a real vehicle with an appearance matching the identification, but divert the charging pile's power to illegal loads other than the vehicle's battery by modifying the charging interface or adding non-standard adapters. Therefore, the system uses detailed image recognition of the charging interface to compare whether the interface actually inserted into the charging gun is consistent with the standard interface corresponding to the vehicle's identification—this process involves verifying multi-dimensional data such as interface shape, connection method (whether there is a "one-to-many" adapter cable), and equipment compatibility (whether the interface model matches the vehicle's factory parameters). For example, if a vehicle's label indicates it supports standard DC fast charging, its standard interface should have 9 pins. If image recognition detects that the charging gun is inserted into an interface with only 7 pins, or that a non-standard adapter is present, the S1026 judgment logic is triggered, and the preliminary determination of power theft is "yes". Conversely, if the interface shape perfectly matches the label (e.g., pin count, interface color, and anti-misinsertion design all conform to the standard), it is determined as "no", allowing the subsequent charging process to proceed.

[0095] In a particular scenario of electricity theft, perpetrators may place energy storage devices in the trunk or undercarriage of a vehicle to steal electricity. In this scenario, even if the combined view of multiple cameras within the smart charging station's surveillance system can completely cover the charging area corresponding to the target charging pile, the cameras may fail to capture clear images of the charging interface during the initial preliminary electricity theft determination based on the charging area monitoring images (i.e., vehicle model-based electricity theft determination). This will affect the execution of the initial electricity theft determination.

[0096] Therefore, to address this problem, this application provides a preliminary method for determining electricity theft based on charging cable routing analysis. This method aims to determine the vehicle model information of the target vehicle based on its charging vehicle identifier and the location of the charging interface corresponding to that model. Based on determining the location of the charging interface, the method predicts the physical connection path of the charging cable during normal charging. Then, based on captured images of the charging area and the charging interface (which may not clearly show the charging interface or may not be visible in the image), the actual physical connection path of the charging cable is identified. The predicted physical connection path and the actual physical connection path are compared to determine whether electricity theft has occurred based on the degree of matching between the two paths.

[0097] Specifically, this process is achieved through the following four steps:

[0098] Step 1: If the charging interface of the target charging vehicle cannot be identified through the charging interface image, determine the location of the target charging interface associated with the target charging vehicle based on the charging vehicle identification.

[0099] When the charging port image cannot be directly identified due to factors such as viewpoint obstruction, insufficient resolution, or strong light interference, the system can directly associate the charging port location of the target vehicle with unique information such as the vehicle model, brand, and Vehicle Identification Number (VIN). For example, the DC fast charging port of a certain brand of pure electric vehicle is fixed on the left rear fender, and the AC slow charging port is located on the right front fender. This effectively avoids the uncertainty of image recognition affected by the external environment. In one possible implementation, when the charging port image is partially obstructed due to the vehicle's parking angle (such as the charging port being blocked by other vehicles or obstacles), the camera installation position creates a blind spot, or the thief deliberately disguises the port with stickers or modifications, the system can skip the charging operation image recognition step and directly retrieve the preset charging port coordinates (X, Y, Z axis spatial position) corresponding to the vehicle identification to form a theoretical reference point for the "target charging port location".

[0100] Step 2: Based on the location of the target charging interface and the parking location of the target charging vehicle, predict the first physical connection path of the charging cable.

[0101] Based on the determined target charging interface location, and combined with the actual parking location of the target charging vehicle, the first physical connection path of the charging cable is predicted through spatial geometric modeling. The first physical connection path is the charging cable connection path predicted based on the target charging interface location and the vehicle's actual parking location. The actual parking location of the target charging vehicle can be obtained through multiple cameras in the camera system; this embodiment does not limit this.

[0102] In predicting the first physical connection path, the shortest physical connection path between the charging pile's output port and the target charging interface location is constructed. This physical path must conform to the natural physical laws of cable extension, i.e., without abnormal bends, forks, or detours, and must also conform to the relative positional relationship between the vehicle's charging port and the charging pile (for example, if the vehicle is parked perpendicularly 2 meters to the right of the charging pile, and the charging port is located on the left rear fender, the theoretical path should extend from the right output end of the charging pile downwards and to the left rear of the vehicle to connect to the charging port, avoiding unreasonable routes such as cables crossing the middle of the vehicle body). Furthermore, the prediction process must also incorporate the "charging port layout logic" from the vehicle's engineering design. For example, some models have charging ports with foolproof guide structures, and the cable routing must conform to the reasonable angle range of its mechanical connection. By combining the "inherent interface location of the vehicle" with the "real-time parking posture" in this modeling method, the first physical connection path not only has the accuracy of spatial coordinates, but also implies the "physical rules that compliant charging behavior should follow". That is, the cable must be legally connected from the charging pile to the standard charging port of the vehicle itself, rather than other modified interfaces or external energy storage devices, so as to ensure the accuracy of the prediction of the first physical connection path.

[0103] Step 3: Determine the second physical connection path of the charging cable based on the monitoring images of the charging area and the charging interface images;

[0104] Step 4: Based on the first physical connection path and the second physical connection path, determine whether the target charging vehicle is stealing electricity.

[0105] Based on the established first physical connection path, relying on monitoring images of the charging area and images of the charging interface (if partially identifiable), an image recognition algorithm is used to extract the actual route of the charging cable, forming a second physical connection path. Subsequently, the second physical connection path is compared with the first physical connection path in multiple dimensions: spatial coordinates, connection endpoint, and path compliance (e.g., whether it bypasses the vehicle body to directly connect to external devices). If the two paths perfectly match in interface location, cable routing, and connection object, the charging behavior is deemed compliant. Conversely, if the actual path endpoint deviates from the target charging interface (e.g., connecting to a modified energy storage box other than the vehicle battery), if there are abnormal forks or adapters in the path, or if the cable routing clearly violates the vehicle's interface layout logic (e.g., connecting from the front of the vehicle to a fictitious interface at the rear), then suspected electricity theft is identified. This method effectively addresses the limitations of traditional image recognition, which is restricted by local viewing angles or occlusions. Through cross-verification of inherent vehicle attributes and real-time scene data, it accurately identifies new types of electricity theft behavior—disguised as compliant vehicles but diverting power through concealed cables—building a more comprehensive risk prevention and control system for smart station monitoring systems.

[0106] The above is a flowchart of the preliminary electricity theft determination step in step S102 of this application embodiment. The following will continue to combine... Figure 1 The subsequent steps S103 and S104 will be described.

[0107] S103: If the preliminary electricity theft determination result is negative, obtain the current charging parameters of the target charging pile and the vehicle charging attribute information of the target charging vehicle, and grant the target charging pile charging permission for the target charging vehicle.

[0108] If the initial determination of electricity theft based on charging operation images is negative, then the target vehicle's suspicion of electricity theft has been ruled out from the perspective of its external physical characteristics. However, if the vehicle charges by forging the BMS communication protocol, electricity theft can still occur. Therefore, to accurately identify this type of electricity theft, it is necessary to obtain the current charging parameters of the target charging station and the charging attributes of the target vehicle, and to grant the target charging station charging permissions to the target vehicle. This allows for the determination of electricity theft based on the real-time power changes during vehicle charging and the actual power output of the charging station.

[0109] In this embodiment, the charging parameters of the target charging pile specifically refer to the initial battery level of the target charging pile, while the vehicle charging attribute information includes the current battery level of the target charging vehicle, the charging protocol associated with the charging vehicle identifier, battery health data, and the target charging mode. By using this specific charging attribute information, under simulated BMS communication protocols, the accuracy of battery theft detection can be improved by determining the actual changes in battery level.

[0110] S104: During the process of the target charging vehicle being charged through the target charging pile, a secondary power theft determination is made based on the charging parameters of the target charging pile, the vehicle charging attribute information, and the charging parameters fed back by the target charging vehicle in real time, so as to determine whether the target charging vehicle has engaged in power theft.

[0111] The determination process for secondary battery theft relies on the actual charging process of the target vehicle. It aims to predict the time required for the vehicle to reach a dynamic charge level based on the charging parameters of the target charging station, the vehicle's charging attributes, and the real-time charging parameters fed back by the vehicle. After this time, it monitors whether the vehicle's charge level has reached the range of the dynamic charge level. If the vehicle's charge level is within the dynamic charge level range (e.g., within a 2% error range), the vehicle is considered to be charging normally, and there is no battery theft. Conversely, if the vehicle's charge level is not within the dynamic charge level range (e.g., the difference between the vehicle's actual charge level and the dynamic charge level is much less than 2%), the vehicle is not charging normally, and battery theft can be determined.

[0112] Specifically, this step is implemented through the following three steps:

[0113] Step 1: Based on the current battery level of the target charging vehicle and the preset battery level increment range, dynamically adjust the current battery level of the target charging vehicle to obtain a dynamic battery level detection node.

[0114] First, based on the target vehicle's current battery level and a preset battery increment range, a dynamic battery level detection node is generated by setting a certain value based on the vehicle's current battery level. For example, assuming the vehicle's current battery level is 30% and the preset battery increment range is 10%, the corresponding dynamic battery level detection node would be 40%. This dynamic adjustment mechanism avoids the mechanical nature of fixed battery level nodes and can adapt to reasonable charging progress under different battery conditions—for example, a severely degraded battery may require a longer charging time within the same battery level range, while a healthy battery has higher energy reception efficiency. The setting of dynamic nodes essentially establishes a personalized verification benchmark for subsequent duration prediction.

[0115] Step 2: Based on the initial power of the target charging pile, the real-time output power, the target charging mode, the battery health data, and the charging protocol associated with the charging vehicle identifier, predict the charging time required for the target charging vehicle to charge from the current power to the dynamic power detection node.

[0116] After determining the dynamic power detection node, the system further integrates multi-dimensional data to predict the charging time: starting from the initial output power of the target charging pile, it combines real-time output power (e.g., the current power is 60kW), target charging mode (current and voltage strategies corresponding to fast charging / slow charging), battery health data (key parameters affecting energy conversion efficiency, such as charging efficiency decreasing by 5% for every 10% increase in internal resistance), and the charging protocol associated with the vehicle identifier (which determines communication handshake efficiency and power adjustment logic; for example, older protocols may cause intermittent power fluctuations). Through physical models, such as the energy conservation formula: required power = power at the detection node - current power, charging time = required power / real-time power × efficiency coefficient, and empirical algorithms calibrated with historical charging data of the same model, the system calculates and predicts the charging time required for the target charging vehicle to charge from the current power to the dynamic power detection node.

[0117] Step 3: Based on the charging time required for the target charging vehicle to charge from the current power level to the dynamic power detection node, a secondary power theft determination is performed to determine whether the target charging vehicle is engaging in power theft.

[0118] The final secondary battery theft detection process involves comparing the target vehicle's battery level with the previous dynamic battery level after the predicted charging time has elapsed, and determining whether battery theft has occurred based on the difference between the two. For details, please refer to [link to relevant documentation]. Figure 4 The figure is a schematic diagram of a secondary electricity theft detection process provided in an embodiment of this application, which specifically includes the following steps:

[0119] S1031: After the charging time required for the target charging vehicle to charge from the current power level to the dynamic power detection node, obtain the second current power level of the target charging vehicle;

[0120] S1032: Determine whether the difference between the second current power level and the dynamic power level detection node is greater than a preset threshold;

[0121] S1033: If the difference between the dynamic power detection node and the second current power is greater than the preset threshold, it is determined that there is power theft.

[0122] S1034: If the difference between the dynamic power detection node and the second current power is not greater than the preset threshold, then it is determined that there is no power theft.

[0123] In the secondary power theft detection system of this embodiment, steps S1031 to S1034 constitute a time- and power-based closed-loop verification. Essentially, it compares the dynamic power detection node with the actual charging result to detect potential abnormal energy loss or data forgery during the charging process. First, after calculating the charging time required for the target vehicle to charge from its current power level to the dynamic power detection node, step S1031 is triggered after the predicted charging time ends, i.e., acquiring the real-time power data (second current power level) of the vehicle after actual charging. For example, if the dynamic detection node is set to charge from 30% to 40%, and the predicted charging time is 20 minutes, the system will read the vehicle's actual power level in real time at the exact 20-minute mark, ensuring the time synchronization and scenario-specificity of data collection.

[0124] In the judgment phases S1032 to S1034, the core logic lies in identifying abnormal deviations in the energy transmission process through the difference analysis between the "second current battery level" and the "dynamic battery level detection node." The preset threshold is set to fully consider energy loss under normal charging scenarios (such as cable resistance loss, efficiency degradation caused by battery polarization), and is usually within a reasonable range of battery level fluctuations (e.g., ±2%). If the actual detected difference is greater than the preset threshold (e.g., the dynamic node is at 40% SOC, but the second battery level is only 30%), then there is a high suspicion of battery theft. This could be due to some energy being diverted through illegal paths, resulting in the vehicle actually receiving less battery level than the charging pile output, or the vehicle falsifying battery level reception progress by tampering with BMS data to cover up the true battery theft path. Conversely, if the difference is within a reasonable range (e.g., 38%), it indicates that the charging process conforms to the law of energy conservation and is judged as normal charging behavior. This judgment mechanism transforms the abstract concept of "suspected electricity theft" into a quantifiable "electricity deviation." Through the dual constraints of time and electricity consumption, it eliminates short-term data fluctuations caused by normal factors such as grid voltage fluctuations and charging pile power adjustments, while accurately capturing persistent energy imbalances. In actual operation, the system dynamically calibrates preset thresholds using historical data, combining this with the charging efficiency baseline of vehicles of the same model and equipment loss models to ensure the scientific validity of the judgment criteria and avoid misjudgments or omissions.

[0125] In particular, this determination method still has certain loopholes. Assuming the electricity thief is aware of the electricity theft detection method in this embodiment, they might periodically plug and unplug the charging cable, resetting the predicted charging time (similar to resetting a timer) to circumvent the electricity theft detection process. To address this logical loophole, this application embodiment adds an additional determination process based on repeated charging phenomena during the secondary electricity theft detection process. This aims to perform electricity theft detection when multiple repeated charging phenomena occur, thereby ensuring the accuracy and comprehensiveness of the electricity theft determination.

[0126] Specifically, the detection of behaviors that circumvent electricity theft detection by repeatedly charging is achieved through the following four steps:

[0127] Step 1: Obtain the number of times the target charging vehicle is recharged within a preset time period, and the time difference between each adjacent recharge event; the preset time period is greater than the charging time required for the target charging vehicle to charge from the current power level to the dynamic power detection node.

[0128] First, when entering the determination process of step S1031 above, the number of times the target charging vehicle is repeatedly charged and the time difference between each adjacent repeated charging time will be monitored simultaneously based on a preset time period.

[0129] In real-world charging scenarios, poor contact at the charging port can sometimes lead to repeated charging. However, such occurrences are often discrete and random, with the timing of each repeated charging event exhibiting a highly discrete pattern. Conversely, if repeated charging is manually controlled, the time difference between adjacent repeated charging events is usually less discrete than that caused by poor charging port contact.

[0130] Therefore, in order to avoid misjudgment of electricity theft, this embodiment needs to first obtain a preset time period to monitor the number of times the target charging vehicle is repeatedly charged, as well as the time difference between each adjacent repeated charging time, so as to calculate the discrete score of the difference within the preset time period, thereby ensuring the accuracy of electricity theft judgment.

[0131] It is important to note that the preset time period should be longer than the predicted charging time in order to encompass multiple charging processes with predicted charging times.

[0132] Step 2: Perform difference pattern analysis based on the time difference between each adjacent repeated charging event to determine the repeated charging discrete score within the preset event period; the repeated charging discrete score is used to characterize the degree of dispersion of repeated charging events within the preset time period.

[0133] The core logic of this step lies in capturing the time difference characteristics of each two adjacent charging events and quantifying the degree of dispersion of its distribution within a preset time period, thereby providing data support for the identification of abnormal behavior.

[0134] The so-called "difference pattern analysis" is a quantitative assessment of the dispersion of time difference sequences using statistical methods. This step requires calculating parameters such as the standard deviation, coefficient of variation, and entropy value of the time difference sequence. The standard deviation reflects the fluctuation range of the time difference around the average value, the coefficient of variation eliminates the influence of dimensions to compare the dispersion of different periods, and the higher the entropy value, the more disordered the time difference distribution. These indicators are combined into a "repeated charging dispersion score," whose value directly represents the dispersion of charging time intervals. A higher score indicates greater fluctuation and more random distribution of time differences, consistent with the natural behavior pattern of normal use. A lower score indicates highly concentrated or regular time intervals, suggesting abnormal charging rhythms that may be manipulated. For example, if the time interval between each repeated charging event of a vehicle is approximately 15 minutes, the standard deviation of the time difference sequence approaches zero, and the dispersion score is significantly below the threshold, this situation clearly indicates theft of electricity.

[0135] Step 3: If the repeated charging discrete score is greater than the scoring threshold, it is determined that the target charging vehicle does not engage in electricity theft.

[0136] Step 4: If the score for the repeated charging pattern is not greater than the score threshold, then it is determined that the target charging vehicle is engaging in electricity theft.

[0137] When the discrete score for repeated charging exceeds a preset threshold, it indicates that the vehicle's charging time intervals are reasonably dispersed and consistent with normal usage behavior, thus ruling out any suspicion of battery theft. Conversely, if the score is below the threshold, indicating abnormal patterns or excessive concentration of time intervals, it strongly suggests an abnormal charging pattern with human intervention, leading to a determination of battery theft. This determination mechanism expands the monitoring perspective from "real-time data verification" to "behavioral modeling." By mining the temporal distribution patterns of charging events, it identifies abnormal patterns hidden in repetitive behaviors—for example, battery thieves might periodically replenish small amounts of energy during off-peak hours to maintain a normal battery charge level, resulting in a mechanical regularity in charging time. This unnatural "regularity" becomes a key feature captured by the monitoring system. By combining real-time data monitoring with long-term behavioral analysis, this step constructs a multi-dimensional battery theft determination system, capable of identifying both immediate energy anomalies and uncovering hidden long-term battery theft through the "unnaturalness" of behavioral patterns, providing a more comprehensive risk assessment perspective for charging safety monitoring.

[0138] The above is an introduction to the method for determining electricity theft in this application. Next, we will introduce the countermeasures when electricity theft is confirmed.

[0139] In one possible implementation, after performing a secondary electricity theft determination to ascertain whether the target charging vehicle is engaging in electricity theft, the method further includes:

[0140] If it is determined that the target charging vehicle is stealing electricity, the license plate number of the target charging vehicle is obtained and sent to the gate system in the smart station, so that the gate system keeps the gate closed when it detects that the target charging vehicle is about to leave the smart station.

[0141] In the smart charging station provided in this embodiment, a gate system is also installed within the station. As the end-point execution unit for physical control, the gate system immediately triggers subsequent control procedures once it confirms that a target charging vehicle is stealing electricity through a secondary electricity theft detection. First, it automatically extracts the vehicle's license plate number—this information is typically obtained through a license plate recognition camera or user registration information when the vehicle enters the charging station, forming a key identifier for accurately locating the target vehicle. Subsequently, the system synchronizes the license plate number information to the gate system's control backend in real time, laying the technical foundation for subsequent interception operations. When a vehicle is determined to be stealing electricity during charging, its license plate number is immediately entered into the gate system's "abnormal vehicle list." The system backend continuously monitors the vehicle's location and, once it detects the vehicle approaching the exit (triggered by ground loop, RFID, or camera identification), it automatically activates the gate's interception logic.

[0142] In another possible implementation, after performing a secondary power theft determination to ascertain whether the target charging vehicle is engaging in power theft, the method further includes:

[0143] If it is determined that the target charging vehicle is stealing electricity, the power supply from the target charging pile to the target charging vehicle is maintained, and the location information of the target charging pile is sent to the interactive terminal to receive the processing result of the electricity theft behavior from the interactive terminal; the interactive terminal is used to send the processing result of the electricity theft behavior to the control terminal of the smart station.

[0144] If no feedback on the power theft behavior processing result is received from the interactive terminal within a preset time period, the power supply from the target charging pile to the target charging vehicle will be terminated.

[0145] In practical applications, security personnel at smart charging stations are typically equipped with interactive terminals that communicate with the station's control system. When a vehicle is detected stealing electricity, to prevent it from leaving the station, the location information of the corresponding charging station needs to be immediately relayed to the security personnel's interactive terminal so they can address the theft. After handling the theft, the security personnel can then report the outcome to the control system via the interactive terminal, allowing the control system to unlock the gate system.

[0146] Conversely, if no feedback on the handling result of the electricity theft behavior is received from the interactive terminal within the preset time period, it indicates that the security personnel may need to immediately terminate the power supply of the target charging pile to the target charging vehicle in order to deal with the electricity theft behavior in a timely manner and to avoid continuous loss of power. This forms a dual response to the electricity theft behavior together with the previous gate control.

[0147] This application provides a method for monitoring electricity theft at smart charging stations. In this method, during the charging handshake phase between the target charging pile and the target charging vehicle, the charging vehicle identifier uploaded by the target charging vehicle and the charging operation image information of the target charging pile are acquired. A preliminary electricity theft determination is made based on the charging vehicle identifier and the charging operation image information to determine the preliminary determination result. If the preliminary determination result is negative, the current charging parameters of the target charging pile and the vehicle charging attribute information of the target charging vehicle are acquired, and the charging permission of the target charging pile for the target charging vehicle is granted. During the charging process of the target charging vehicle through the target charging pile, a secondary electricity theft determination is made based on the charging parameters of the target charging pile, the vehicle charging attribute information, and the real-time charging parameters fed back by the target charging vehicle to determine whether the target charging vehicle is engaging in electricity theft. Through this method, during the charging handshake phase, based on the charging operation image information and charging vehicle identifier of the target charging vehicle, the authenticity of the physical charging scenario can be verified through visual monitoring, thereby monitoring overt electricity theft behavior involving falsified vehicle identification information but without a corresponding vehicle model. If the initial determination of battery theft is negative, a secondary determination is made during the charging process by integrating real-time output parameters of the charging pile, vehicle charging attributes, and real-time feedback data. This effectively identifies battery theft caused by modifications to high-power output interfaces inside the vehicle. Even if the handshake signal transmitted by the BMS can be simulated, battery theft can still be monitored through the charging parameters of the charging pile and the vehicle charging attribute information during the charging process. This forms a complete battery theft monitoring chain from vehicle identity verification to real-time charging, covering both battery theft based on external devices and battery theft based on internal modifications. This enables battery theft detection in complex scenarios and effectively improves the comprehensiveness and accuracy of battery theft detection.

[0148] The following describes a monitoring system for electricity theft in smart power plants, as provided in an embodiment of this application. The monitoring system for electricity theft in smart power plants described below can be referred to in correspondence with the monitoring method for electricity theft in smart power plants described above.

[0149] See Figure 5 The figure is a schematic diagram of the structure of a smart power station electricity theft monitoring system provided in an embodiment of this application, which specifically includes the following modules:

[0150] This application provides a monitoring system for electricity theft at smart power stations, the system comprising:

[0151] The first acquisition module 100 is used to acquire the charging vehicle identifier uploaded by the target charging vehicle and the charging operation image information of the target charging pile during the charging handshake phase between the target charging pile and the target charging vehicle.

[0152] The first electricity theft determination module 200 is used to make a preliminary electricity theft determination based on the charging vehicle identification and the charging operation image information, so as to determine the preliminary electricity theft determination result.

[0153] The second acquisition module 300 is used to acquire the current charging parameters of the target charging pile and the vehicle charging attribute information of the target charging vehicle when the preliminary electricity theft determination result is negative, and to grant the target charging pile charging permission for the target charging vehicle.

[0154] The second electricity theft detection module 400 is used to perform a second electricity theft detection based on the charging parameters of the target charging pile, the vehicle charging attribute information, and the charging parameters fed back by the target charging vehicle in real time during the process of the target charging vehicle charging through the target charging pile, so as to determine whether the target charging vehicle has engaged in electricity theft.

[0155] It should be noted that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for methods and systems, since they are basically similar to the method embodiments, the description is relatively simple, and relevant parts can be referred to the description of the method embodiments. The methods and systems described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components indicated as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0156] The above description is merely one specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for monitoring electricity theft at smart power stations, characterized in that, The method includes: During the charging handshake phase between the target charging pile and the target charging vehicle, the charging vehicle identifier uploaded by the target charging vehicle and the charging operation image information of the target charging pile are obtained. A preliminary determination of electricity theft is made based on the charging vehicle identification and the charging operation image information to determine the preliminary electricity theft determination result; the charging operation image information includes: a monitoring image of the charging area of ​​the target charging pile and an image of the charging interface into which the charging gun of the target charging pile is inserted; wherein, vehicle model existence is verified based on the monitoring image of the charging area of ​​the target charging pile and the charging vehicle identification; and interface matching is verified based on the charging interface image and the charging vehicle identification. If the initial determination of electricity theft is negative, the current charging parameters of the target charging pile and the vehicle charging attribute information of the target charging vehicle are obtained, and the charging permission of the target charging pile for the target charging vehicle is granted. During the process of the target charging vehicle being charged through the target charging pile, a secondary power theft determination is made based on the charging parameters of the target charging pile, the vehicle charging attribute information, and the charging parameters fed back by the target charging vehicle in real time, in order to determine whether the target charging vehicle is engaging in power theft. If the charging interface of the target charging vehicle cannot be identified through the charging interface image, the location of the target charging interface associated with the target charging vehicle is determined based on the charging vehicle identifier. Based on the location of the target charging interface and the parking location of the target charging vehicle, predict the first physical connection path of the charging cable; Based on the monitoring image of the charging area and the image of the charging interface, determine the second physical connection path of the charging cable; Based on the first physical connection path and the second physical connection path, it is determined whether the target charging vehicle is engaging in electricity theft.

2. The method according to claim 1, characterized in that, The charging parameters of the target charging pile include: the initial power of the target charging pile; the vehicle charging attribute information includes: the current power of the target charging vehicle, the charging protocol associated with the charging vehicle identifier, battery health data, and the target charging mode; the real-time feedback charging parameters include: real-time output power; The step of performing a secondary power theft determination based on the charging parameters of the target charging pile, the vehicle charging attribute information, and the real-time charging parameters fed back by the target charging vehicle to determine whether the target charging vehicle is engaging in power theft includes: Based on the current battery level of the target charging vehicle and a preset battery level increment range, the current battery level of the target charging vehicle is dynamically adjusted to obtain a dynamic battery level detection node. Based on the initial power of the target charging pile, the real-time output power, the target charging mode, the battery health data, and the charging protocol associated with the charging vehicle identifier, the charging time required for the target charging vehicle to charge from the current power to the dynamic power detection node is predicted. A secondary power theft determination is performed based on the charging time required for the target charging vehicle to charge from its current power level to the dynamic power detection node, in order to determine whether the target charging vehicle is engaging in power theft.

3. The method according to claim 2, characterized in that, The second power theft determination is performed based on the charging time required for the target charging vehicle to charge from the current power level to the dynamic power detection node, in order to determine whether the target charging vehicle has engaged in power theft, including: After the charging time required for the target charging vehicle to charge from its current charge level to the dynamic charge detection node, the second current charge level of the target charging vehicle is obtained; The second current battery level of the target charging vehicle is compared with the dynamic battery level detection node to determine whether the target charging vehicle is stealing electricity. If the difference between the dynamic power detection node and the second current power is greater than a preset threshold, it is determined that the target charging vehicle is stealing electricity. If the difference between the dynamic power detection node and the second current power level is not greater than a preset threshold, then it is determined that the target charging vehicle is not stealing electricity.

4. The method according to claim 1, characterized in that, The preliminary determination of electricity theft based on the charging vehicle identification and the charging operation image information, to determine the preliminary electricity theft determination result, includes: Based on the monitoring image of the charging area and the identification of the charging vehicle, a first preliminary determination of electricity theft is made to determine the first determination result; If the first determination result is yes, the first determination result is determined as the preliminary electricity theft determination result; If the first determination result is negative, a second preliminary determination of electricity theft is made based on the charging interface image and the charging vehicle identification to determine the preliminary determination result of electricity theft.

5. The method according to claim 4, characterized in that, The first preliminary determination of electricity theft based on the monitoring image of the charging area and the identification of the charging vehicle, to determine the first determination result, includes: Based on the monitoring image of the charging area and the vehicle identification mark, determine whether there is a vehicle model matching the vehicle identification mark within the charging range of the target charging pile; If there is no vehicle model matching the charging vehicle identifier within the charging range, then the first determination result is determined to be yes; If a vehicle model matching the charging vehicle identifier exists within the charging range, then the first determination result is determined to be negative.

6. The method according to claim 5, characterized in that, The step of performing a second preliminary electricity theft determination based on the charging interface image and the charging vehicle identification, to determine the preliminary electricity theft determination result, includes: If there is a vehicle model that matches the charging vehicle identifier within the charging range, then determine whether the charging port into which the charging gun is inserted matches the charging vehicle identifier. If the charging port into which the charging gun is inserted matches the vehicle identification mark, then the preliminary determination of electricity theft is negative. If the charging port into which the charging gun is inserted does not match the vehicle identification number, then the preliminary determination of electricity theft is confirmed.

7. The method according to claim 1, characterized in that, After performing a secondary electricity theft determination to ascertain whether the target charging vehicle has engaged in electricity theft, the method further includes: If it is determined that the target charging vehicle is stealing electricity, the power supply from the target charging pile to the target charging vehicle is maintained, and the location information of the target charging pile is sent to the interactive terminal to receive the processing result of the electricity theft behavior from the interactive terminal; the interactive terminal is used to send the processing result of the electricity theft behavior to the control terminal of the smart station. If no feedback on the power theft behavior processing result is received from the interactive terminal within a preset time period, the power supply from the target charging pile to the target charging vehicle will be terminated.

8. The method according to claim 1, characterized in that, The smart station includes: a turnstile system, which is used to control the opening and closing of the gates within the smart station; After performing a secondary electricity theft determination to ascertain whether the target charging vehicle has engaged in electricity theft, the method further includes: If it is determined that the target charging vehicle is stealing electricity, the license plate number of the target charging vehicle is obtained and sent to the gate system in the smart station, so that the gate system keeps the gate closed when it detects that the target charging vehicle is about to leave the smart station.

9. The method according to claim 1, characterized in that, The smart station includes a charging pile camera system, which includes multiple cameras for acquiring image information of the charging operation, and the combined view of all the cameras covers the vehicle charging area corresponding to each charging pile in the smart station. The method for acquiring the charging operation image information of the target charging pile includes: The charging operation image information of the target charging pile is obtained through the camera configured on the target charging pile; If the camera configured on the target charging pile cannot acquire the charging operation image, the charging operation image information is acquired through all the cameras in the charging pile camera system; If the camera configured on the target charging pile is capable of acquiring the charging operation image, the charging operation image information of the target charging pile can be acquired through the camera configured on the target charging pile.

10. A monitoring system for electricity theft at smart power stations, characterized in that, The system includes: The first acquisition module is used to acquire the charging vehicle identifier uploaded by the target charging vehicle and the charging operation image information of the target charging pile during the charging handshake phase between the target charging pile and the target charging vehicle. The first electricity theft determination module is used to make a preliminary electricity theft determination based on the charging vehicle identification and the charging operation image information to determine the preliminary electricity theft determination result; the charging operation image information includes: a monitoring image of the charging area of ​​the target charging pile and an image of the charging interface into which the charging gun of the target charging pile is inserted; wherein, the first electricity theft determination module is used to verify the existence of the vehicle model based on the monitoring image of the charging area of ​​the target charging pile and the charging vehicle identification; and to verify the interface matching based on the charging interface image and the charging vehicle identification; The second acquisition module is used to acquire the current charging parameters of the target charging pile and the vehicle charging attribute information of the target charging vehicle when the preliminary electricity theft determination result is negative, and to grant the target charging pile charging permission for the target charging vehicle. The second electricity theft detection module is used to perform a second electricity theft detection based on the charging parameters of the target charging pile, the vehicle charging attribute information, and the charging parameters fed back by the target charging vehicle in real time during the process of the target charging vehicle charging through the target charging pile, so as to determine whether the target charging vehicle has engaged in electricity theft. The first electricity theft detection module is also used for: If the charging interface of the target charging vehicle cannot be identified through the charging interface image, the location of the target charging interface associated with the target charging vehicle is determined based on the charging vehicle identifier. Based on the location of the target charging interface and the parking location of the target charging vehicle, predict the first physical connection path of the charging cable; Based on the monitoring image of the charging area and the image of the charging interface, determine the second physical connection path of the charging cable; Based on the first physical connection path and the second physical connection path, it is determined whether the target charging vehicle is engaging in electricity theft.

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