Vehicle fuel theft prevention method, device, equipment, medium and product

Abstract

The application provides a vehicle fuel theft prevention method, device, equipment, medium and product, and the method comprises the following steps: obtaining historical stolen data corresponding to a location area to which a target vehicle belongs, wherein the historical stolen data comprises historical monitoring images; obtaining current monitoring data corresponding to the target vehicle, wherein the monitoring data comprises current monitoring images of a location area to which the target vehicle belongs; determining a fuel theft prevention judgment result corresponding to the target vehicle according to the historical stolen data and the current monitoring data; and performing fuel theft prevention early warning according to the fuel theft prevention judgment result. The application can realize early warning before a theft event occurs, realize fuel theft prevention early warning, and effectively realize fuel theft prevention and improve fuel safety.

Description

Technical Field

[0001] This invention relates to the field of vehicle fuel anti-theft technology, and in particular to vehicle fuel anti-theft methods, devices, equipment, media and products. Background Technology

[0002] With the development of science and technology, vehicles are becoming increasingly widely used, and large vehicles are becoming more and more common. Large vehicles can have fuel tanks with capacities up to thousands of liters, and the fuel they carry is of high value. However, fuel theft is a serious concern, therefore, fuel theft prevention measures are necessary to avoid financial losses for vehicle owners.

[0003] In existing technologies, fuel level sensors are typically used to monitor the fuel level in a vehicle's fuel tank. A drop in fuel level indicates a risk of theft and triggers an alarm. The problem with this technology is that it only triggers the alarm after fuel theft has occurred, failing to provide early warning and thus hindering effective fuel theft prevention. Summary of the Invention

[0004] This invention provides a method, device, equipment, medium, and product for preventing vehicle fuel theft, in order to solve the technical problem that existing fuel theft alarms based on fuel level height determined by a fuel level sensor can only be triggered after a fuel theft has occurred, thus failing to provide early warning. This invention enables fuel theft early warning, thereby effectively preventing fuel theft.

[0005] This invention provides a method for preventing vehicle fuel theft, comprising:

[0006] Obtain historical theft data corresponding to the location area of ​​the target vehicle, wherein the historical theft data includes historical surveillance images;

[0007] Obtain the current monitoring data corresponding to the target vehicle, wherein the monitoring data includes the current monitoring image of the location area of ​​the target vehicle;

[0008] The fuel anti-theft judgment result corresponding to the target vehicle is determined based on the historical stolen data and the current monitoring data;

[0009] Fuel theft warning will be issued based on the fuel theft detection results.

[0010] According to a vehicle fuel anti-theft method provided by the present invention, the historical theft data further includes the location and number of historical theft events within the area where the target vehicle is located;

[0011] The current monitoring data also includes the ultrasonic monitoring data corresponding to the target vehicle;

[0012] The step of obtaining the current monitoring data corresponding to the target vehicle includes:

[0013] Obtain the current monitoring image corresponding to the target vehicle;

[0014] The warning and monitoring level corresponding to the target vehicle is determined based on the location and number of historical theft incidents.

[0015] The ultrasonic monitoring range is determined based on the warning monitoring level, and the ultrasonic monitoring data is obtained based on the ultrasonic monitoring range.

[0016] According to a vehicle fuel anti-theft method provided by the present invention, the step of determining the fuel anti-theft judgment result corresponding to the target vehicle based on the historical theft data and the current monitoring data includes:

[0017] Determine whether to trigger an alert for abnormal personnel approaching based on the ultrasonic monitoring data;

[0018] If an alert is triggered that an abnormal person is approaching, the current monitoring image is compared with the historical monitoring image to obtain feature similarity.

[0019] If the feature similarity is higher than the preset image comparison similarity threshold, then the risk of theft will be used as the fuel anti-theft judgment result.

[0020] According to a vehicle fuel anti-theft method provided by the present invention, after determining that if the feature similarity is higher than a preset image comparison similarity threshold, the fuel anti-theft judgment result includes:

[0021] The current monitoring image is sent to the target user, and the fuel anti-theft judgment result is adjusted based on the feedback information returned by the target user.

[0022] According to a vehicle fuel anti-theft method provided by the present invention, the current monitoring data further includes the fuel level height and / or fuel level change rate corresponding to the target vehicle;

[0023] The method further includes:

[0024] Determine whether the fuel level of the target vehicle is abnormally decreasing based on the fuel level height and / or the rate of change of the fuel level.

[0025] If the fuel level of the target vehicle drops abnormally, the risk of theft will be considered as the fuel theft prevention judgment result.

[0026] According to a vehicle fuel anti-theft method provided by the present invention, the step of providing a fuel anti-theft warning based on the fuel anti-theft judgment result includes:

[0027] If the fuel anti-theft assessment result indicates a risk of theft, an alarm will be triggered, and the location information of the target vehicle will be uploaded to a preset sharing platform.

[0028] The present invention also provides a vehicle fuel anti-theft device, comprising:

[0029] The first data acquisition module is used to acquire historical theft data corresponding to the location area of ​​the target vehicle, wherein the historical theft data includes historical surveillance images;

[0030] The second data acquisition module is used to acquire the current monitoring data corresponding to the target vehicle, wherein the monitoring data includes the current monitoring image of the location area of ​​the target vehicle;

[0031] The data processing module is used to determine the fuel anti-theft judgment result corresponding to the target vehicle based on the historical stolen data and the current monitoring data;

[0032] The anti-theft warning module is used to issue a fuel anti-theft warning based on the fuel anti-theft judgment result.

[0033] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the vehicle fuel anti-theft method as described above.

[0034] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the vehicle fuel anti-theft method as described above.

[0035] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the vehicle fuel anti-theft method as described above.

[0036] The present invention provides a vehicle fuel anti-theft method, device, equipment, medium, and product that acquires historical theft data corresponding to the location area of ​​a target vehicle, wherein the historical theft data includes historical surveillance images; acquires current surveillance data corresponding to the target vehicle, wherein the surveillance data includes current surveillance images of the location area of ​​the target vehicle; determines a fuel anti-theft judgment result for the target vehicle based on the historical theft data and the current surveillance data; and provides a fuel anti-theft warning based on the fuel anti-theft judgment result. Thus, by utilizing historical theft data including historical surveillance images of past thefts in the corresponding area, and current surveillance data including current surveillance images of the target vehicle, fuel anti-theft judgment is performed and a fuel anti-theft judgment result is obtained, rather than relying on liquid level changes for judgment. This effectively performs real-time judgment based on current surveillance data reflecting the current environment and historical theft data related to fuel theft events in the corresponding area, enabling warnings before theft occurs, such as warnings before suspicious individuals approach but before they effectively commit theft, thereby achieving fuel anti-theft warnings and effectively preventing fuel theft, improving fuel security. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in this invention 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 some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0038] Figure 1 This is a flowchart illustrating the vehicle fuel anti-theft method provided by the present invention;

[0039] Figure 2 This invention provides a flowchart for determining early warning monitoring levels;

[0040] Figure 3 This is a data interaction diagram of a vehicle fuel anti-theft method provided by the present invention;

[0041] Figure 4 This is a schematic diagram of the specific process of a vehicle fuel anti-theft method provided by the present invention;

[0042] Figure 5 This is a schematic diagram of the structure of the vehicle fuel anti-theft device provided by the present invention;

[0043] Figure 6 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0045] Currently, large vehicles are being used more and more widely, and fuel theft prevention in these vehicles is receiving increasing attention. In one application scenario, a fuel level sensor can monitor the fuel level in the vehicle's fuel tank, detecting a risk of theft and triggering an alarm when the fuel level drops. However, this solution only triggers the alarm after fuel theft has occurred, failing to provide early warning.

[0046] In another application scenario, image recognition algorithms can be used to determine the location of a theft based on the collected information about people's activities near the vehicle. However, this solution also lacks a warning function, as fuel theft can be completed in a very short time, leaving car owners with only the option to report it afterward, thus failing to provide effective prevention. Furthermore, it lacks information such as the frequency of fuel thefts at the vehicle's location and the characteristics of the vehicles used by the thieves, hindering the accuracy of the detection. It also cannot inform nearby car owners of the location of the theft, leaving them to rely on their own efforts to prevent fuel theft, which is detrimental to improving the success rate of fuel theft prevention.

[0047] To address at least one of the aforementioned problems, embodiments of the present invention provide a vehicle fuel anti-theft method, which is described below in conjunction with... Figures 1-4 Describe the vehicle fuel anti-theft method provided by the present invention, such as Figure 1 As shown, the method includes the following steps:

[0048] S110. Obtain historical theft data corresponding to the location area of ​​the target vehicle, wherein the historical theft data includes historical surveillance images;

[0049] S120. Obtain the current monitoring data corresponding to the target vehicle, wherein the monitoring data includes the current monitoring image of the location area of ​​the target vehicle;

[0050] S130. Determine the fuel anti-theft judgment result corresponding to the target vehicle based on the historical stolen data and the current monitoring data;

[0051] S140. Based on the fuel anti-theft judgment result, issue a fuel anti-theft warning.

[0052] The method provided by this invention utilizes historical theft data, including historical monitoring images of past thefts within a corresponding area, and current monitoring data, including current monitoring images of the target vehicle, to perform fuel theft prevention judgment and obtain a fuel theft prevention judgment result, rather than relying on liquid level changes. This effectively enables real-time judgment based on current monitoring data reflecting the current environment and historical theft data related to fuel theft events within the corresponding area. It allows for early warning before theft occurs, such as issuing a warning before suspicious individuals approach but before they can effectively commit theft, thus achieving fuel theft prevention and improving fuel security.

[0053] Specifically, the target vehicle is a vehicle requiring fuel theft prevention. The location area of ​​the target vehicle can be determined based on the target vehicle's location and a preset area diameter. For example, with the target vehicle's location as the center, the area within a circle determined by the area diameter is taken as the target vehicle's location area. In this embodiment of the invention, the area diameter is taken as 50 kilometers, but this is not a specific limitation.

[0054] It should be noted that the vehicle fuel anti-theft method provided by this invention can be implemented based on preset software or a mini-program. In this embodiment of the invention, the steps of the vehicle fuel anti-theft method implemented based on a mini-program are described in detail, but this is not intended to limit the scope of the invention.

[0055] Specifically, the mini-program uses location services to determine the vehicle's location and then queries historical theft data for the area where the target vehicle is located. For example, it can include historical surveillance images of thefts that occurred in the area. Furthermore, it can include other information, such as the location and number of related theft cases within a 50-kilometer radius, without specific limitations.

[0056] The current monitoring data is the data collected from real-time monitoring of the target vehicle. It may include the current monitoring image of the area where the target vehicle is located, as well as other data, such as the parameters corresponding to the target vehicle, etc., which are not specifically limited here.

[0057] In one application scenario, historical and current surveillance images can be directly compared for features. When the similarity reaches a preset threshold, the fuel theft risk is determined. Specifically, historical surveillance images include features such as the vehicle and appearance of the thief. If a similar vehicle or person is detected approaching based on the current surveillance image, the fuel theft risk is determined, and a fuel theft warning is issued. This effectively reduces the risk of fuel theft.

[0058] In this embodiment, the historical theft data also includes the locations and number of historical theft events within the area where the target vehicle is located;

[0059] The current monitoring data also includes the ultrasonic monitoring data corresponding to the target vehicle;

[0060] The step of obtaining the current monitoring data corresponding to the target vehicle includes:

[0061] Obtain the current monitoring image corresponding to the target vehicle;

[0062] The warning and monitoring level corresponding to the target vehicle is determined based on the location and number of historical theft incidents.

[0063] The ultrasonic monitoring range is determined based on the warning monitoring level, and the ultrasonic monitoring data is obtained based on the ultrasonic monitoring range.

[0064] In one application scenario, the warning and monitoring level of a target vehicle can be determined directly based on the number of historical theft incidents. For example, a corresponding number range can be set for each warning and monitoring level, and the corresponding warning and monitoring level can be obtained when the number of historical theft incidents falls within the corresponding number range.

[0065] In this embodiment, the warning monitoring level is determined by combining the location and number of historical theft incidents. Specifically, the area where the target vehicle is located is divided into multiple sub-regions. The number of historical theft incidents falling into each sub-region is determined based on the location of the historical theft incidents, and the corresponding warning monitoring level is determined based on the number of historical theft incidents in each sub-region. It should be noted that the number of sub-regions, the number of warning monitoring levels, and the range of quantities corresponding to each warning monitoring level can be set and adjusted according to actual needs, and are not specifically limited here.

[0066] Figure 2 This invention provides a flowchart for determining early warning monitoring levels, such as... Figure 2 As shown in the embodiment of the present invention, historical theft data is obtained, and the location area of ​​the target vehicle is divided into inner and outer sub-regions. Specifically, the area is divided into inner and outer sub-regions by a circle with a diameter of 10 kilometers (the specific value can be set and adjusted according to actual needs), and the number of theft events corresponding to the two sub-regions is determined.

[0067] If the number of historical theft incidents in the internal sub-region is greater than 2 and the number of historical theft incidents in the external sub-region is less than 3, the warning monitoring level is set to Level 1. Otherwise, if the number of historical theft incidents in the internal sub-region is greater than 1, or the number of historical theft incidents in the external sub-region is greater than 3, the warning monitoring level is set to Level 2. Otherwise, if the number of historical theft incidents in the internal sub-region is 0 and the number of historical theft incidents in the external sub-region is greater than 1, the warning monitoring level is set to Level 3. It should be noted that in this embodiment of the invention, Level 1 is the highest warning level, and the warning levels of Level 2 and Level 3 decrease sequentially.

[0068] It should be noted that, in this embodiment of the invention, the target user (the driver or owner of the target vehicle) can also manually adjust the corresponding early warning monitoring level to improve the flexibility of the early warning monitoring level setting.

[0069] Furthermore, corresponding ultrasonic monitoring ranges are pre-set for each early warning monitoring level to achieve ultrasonic monitoring of key areas. It should be noted that the ultrasonic monitoring range can be set and adjusted according to actual needs, and is not specifically limited here. Specifically, the ultrasonic monitoring data can be collected and uploaded by the ultrasonic detection device installed on the target vehicle or by an additional ultrasonic detection device. The ultrasonic detection device is responsible for monitoring the vicinity of the fuel tank and has an early warning activation function. The ultrasonic detection device has two monitoring ranges: one is close-range monitoring, with a monitoring range of 30 cm from the fuel tank, and the other is long-range monitoring, with a monitoring range of 100 cm from the fuel tank. If an abnormal person is detected within the corresponding monitoring range, a trigger signal can be sent to the image feature recognition unit responsible for image processing for image feature recognition and comparison.

[0070] Specifically, determining the fuel anti-theft judgment result corresponding to the target vehicle based on the historical theft data and the current monitoring data includes:

[0071] Determine whether to trigger an alert for abnormal personnel approaching based on the ultrasonic monitoring data;

[0072] If an alert is triggered that an abnormal person is approaching, the current monitoring image is compared with the historical monitoring image to obtain feature similarity.

[0073] If the feature similarity is higher than the preset image comparison similarity threshold, then the risk of theft will be used as the fuel anti-theft judgment result.

[0074] In this embodiment of the invention, the current monitoring image can be acquired by a 360° surround view system installed on the target vehicle or other image acquisition devices, without specific limitations. In one application scenario, image feature comparison is performed based on a preset image recognition unit. Specifically, after receiving a trigger signal for an abnormal person approaching, the image recognition unit processes the data (current monitoring image) transmitted from the 360° surround view system and obtains historical monitoring images provided by the mini-program. Features are extracted and categorized from the historical monitoring images to identify the physical characteristics of the thief, the vehicle used, and other features, which are used for feature comparison during the alert. Furthermore, features are also extracted from the current monitoring image and compared to determine feature similarity.

[0075] The similarity threshold is a pre-set feature similarity judgment threshold, which can be set and adjusted according to actual needs. In this embodiment of the invention, it is set to 80%, but this is not a specific limitation. If the feature similarity (or the confidence level of feature comparison similarity) reaches 80%, it is determined that there is an intent to steal, and the risk of theft is used as the fuel anti-theft judgment result.

[0076] Furthermore, after determining that if the feature similarity is higher than a preset image comparison similarity threshold, the existence of a theft risk will be used as the fuel anti-theft judgment result, the method further includes:

[0077] The current monitoring image is sent to the target user, and the fuel anti-theft judgment result is adjusted based on the feedback information returned by the target user.

[0078] Specifically, the system can also send warning information and / or current monitoring images to the mini-program via the remote communication unit, and the mini-program will remind the target user (i.e., the car owner). At this time, the car owner can choose to remotely view the monitoring video to determine whether it is theft, and adjust the fuel anti-theft judgment result based on the feedback from the target user.

[0079] Furthermore, in this embodiment of the invention, the judgment is also based on changes in the vehicle's fuel level to improve the accuracy of the judgment and thus enhance the anti-theft effect.

[0080] Specifically, the current monitoring data also includes the fuel level height and / or fuel level change rate of the target vehicle;

[0081] The method further includes:

[0082] Determine whether the fuel level of the target vehicle is abnormally decreasing based on the fuel level height and / or the rate of change of the fuel level.

[0083] If the fuel level of the target vehicle drops abnormally, the risk of theft will be considered as the fuel theft prevention judgment result.

[0084] The fuel level and rate of change can be determined based on a fuel level sensor. Specifically, if the decrease in fuel level and / or the rate of change exceeds a preset threshold, a theft risk is directly identified. This threshold can be set and adjusted according to actual needs and is not specifically limited here. Combining fuel level and rate of change improves anti-theft effectiveness and avoids false alarms caused by normal fuel evaporation, thus increasing accuracy.

[0085] Furthermore, the step of issuing a fuel anti-theft warning based on the fuel anti-theft judgment result includes:

[0086] If the fuel anti-theft assessment result indicates a risk of theft, an alarm will be triggered, and the location information of the target vehicle will be uploaded to a preset sharing platform.

[0087] The sharing platform can be a pre-set data sharing platform or a platform corresponding to a mini-program. This platform can share information uploaded by multiple users (each vehicle owner) and notify each user. When an alarm is confirmed and initiated, the owner of the target vehicle is notified, and based on the location information uploaded to the sharing platform, the vehicle's location is marked in the mini-program and shared with nearby vehicle owners also using the mini-program, thus broadcasting the vehicle's location to request assistance from nearby vehicle owners and reduce the risk of fuel theft.

[0088] It should be noted that all or part of the steps of the vehicle fuel anti-theft method can be performed by the target vehicle, by the sharing platform (mini-program), or by an additional anti-theft device, and no specific limitation is made here.

[0089] In one application scenario, the target vehicle is equipped with a 360° surround view system, a fuel level sensor, an ultrasonic detection device, an image recognition unit, a storage unit, and a remote communication unit. The image recognition unit, storage unit, and remote communication unit can be provided by an onboard computing platform or infotainment system. The 360° surround view system is primarily responsible for monitoring the vehicle's surroundings and can further extract features from the video footage, providing these features to the image recognition unit.

[0090] In another application scenario, the 360-degree surround view system can be replaced by a rearview camera, or a separate monitoring camera can be installed near the fuel tank. The fuel level sensor can be a traditional resistive sensor, with level monitoring performed by the instrument panel, or it can be a device with Controller Area Network (CAN) communication capabilities to directly transmit signals. The ultrasonic detection device can be installed separately around the fuel tank, or it can be further used as a detection device installed around the vehicle body, or a detection radar can be used; no specific limitation is made here.

[0091] Figure 3 This is a data interaction diagram of a vehicle fuel anti-theft method provided by the present invention, such as... Figure 3 As shown in this embodiment of the invention, fuel theft prevention is achieved based on data interaction and processing between the target vehicle and the mini-program. Furthermore, the mini-program facilitates communication and mutual assistance among multiple vehicle owners. Specifically, the mini-program summarizes the location, time, and image characteristics of the vehicle used in fuel theft based on historical monitoring images, providing vehicle owners with an intuitive understanding of the likelihood of theft. Simultaneously, different fuel theft prevention monitoring levels are set using this information, providing early warnings before theft begins and transmitting real-time video of the vehicle's surroundings to the vehicle owner. When a theft occurs, the mini-program can be used to mark the location and share it with nearby vehicle owners to seek assistance and improve the efficiency of solving the case. Finally, the data information can also be used to generate theft trajectory trends for analysis and tracking, further improving the efficiency of solving the case. The mini-program can specifically implement the following functions: location positioning, displaying theft locations and events within a 50-kilometer diameter range over the past three months (the specific time period can be set and adjusted according to actual needs), uploading theft case information, image feature extraction, risk level assessment, early warning level setting, remote early warning notification, remote video monitoring, and sharing of theft locations.

[0092] The target vehicle is equipped with ultrasonic detection devices, fuel level sensors, a 360-degree surround view system, a remote communication module, a storage module, and a local image module (which may include an image recognition unit) to achieve corresponding data acquisition, processing, and transmission.

[0093] Figure 4 This is a schematic diagram illustrating the specific process of a vehicle fuel anti-theft method provided by the present invention, as follows: Figure 4 As shown, the mini-program uses location services to determine the vehicle's location, then queries the locations of theft cases within a 50-kilometer radius, displaying these locations as markers on a map for the vehicle owner. It assesses the number of thefts within the area and recommends the appropriate alert level for the owner. Fuel safety monitoring is then implemented based on the alert level.

[0094] The app allows car owners to view nearby surveillance video via a mini-program. When an alert is activated, the mini-program will notify the owner, who can then view the video. If the owner suspects an impending theft, they can click the "Alarm" option. The mini-program will then mark the vehicle's location as theft in progress and share it with nearby drivers, requesting assistance. This alert and alarm location sharing feature increases the owner's response time and leverages the mutual support of nearby drivers, improving the chances of solving theft cases. It's worth noting that after an alarm is triggered, the current surveillance image can be uploaded to a shared platform to update historical surveillance footage, improving the accuracy of subsequent alert assessments.

[0095] Thus, based on statistical analysis of nearby theft cases, the theft risk in a corresponding area can be intuitively understood, thereby determining the appropriate early warning and monitoring level and achieving better protection. Analysis of surveillance video of theft cases allows for the extraction of corresponding image features, enabling targeted identification and early warning. Simultaneously with initiating an alarm, the location of the theft can be shared, linking with nearby vehicle owners to improve the success rate of protection and the case-solving rate. Users can also remotely view video surveillance or actively view it and choose whether to trigger an alarm. Furthermore, a mini-program can be used to display the movement trajectory of thefts in the vicinity, narrowing the investigation scope.

[0096] The vehicle fuel anti-theft device provided by this invention is described below. The vehicle fuel anti-theft device described below can be referred to in correspondence with the vehicle fuel anti-theft method described above. For example... Figure 5 As shown, the vehicle fuel anti-theft device provided by the present invention includes:

[0097] The first data acquisition module 510 is used to acquire historical theft data corresponding to the location area of ​​the target vehicle, wherein the historical theft data includes historical surveillance images.

[0098] The second data acquisition module 520 is used to acquire the current monitoring data corresponding to the target vehicle, wherein the monitoring data includes the current monitoring image of the location area to which the target vehicle belongs;

[0099] Data processing module 530 is used to determine the fuel anti-theft judgment result corresponding to the target vehicle based on the historical stolen data and the current monitoring data;

[0100] The anti-theft warning module 540 is used to issue a fuel anti-theft warning based on the fuel anti-theft judgment result.

[0101] The vehicle fuel anti-theft device provided by this invention can utilize historical theft data, including historical monitoring images of past thefts in the corresponding area, and current monitoring data, including current monitoring images of the target vehicle, to perform fuel anti-theft judgment and obtain a fuel anti-theft judgment result, rather than relying on liquid level changes for judgment. Therefore, it effectively performs real-time judgment based on current monitoring data reflecting the current environment and historical theft data related to fuel theft events in the corresponding area. This allows for early warning before theft occurs, such as warning of suspicious individuals approaching but before they can effectively commit theft, thus achieving fuel anti-theft early warning and effectively preventing fuel theft, improving fuel security.

[0102] Figure 6 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 6 As shown, the electronic device may include a processor 610, a communication interface 620, a memory 630, and a communication bus 640, wherein the processor 610, the communication interface 620, and the memory 630 communicate with each other via the communication bus 640. The processor 610 can call logical instructions in the memory 630 to execute a vehicle fuel anti-theft method. This method includes: acquiring historical theft data corresponding to the location area of ​​the target vehicle, wherein the historical theft data includes historical surveillance images; acquiring current surveillance data corresponding to the target vehicle, wherein the surveillance data includes current surveillance images of the location area of ​​the target vehicle; determining a fuel anti-theft judgment result corresponding to the target vehicle based on the historical theft data and the current surveillance data; and issuing a fuel anti-theft warning based on the fuel anti-theft judgment result.

[0103] Furthermore, the logical instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0104] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the vehicle fuel anti-theft method provided by the above methods. The method includes: acquiring historical theft data corresponding to the location area of ​​the target vehicle, wherein the historical theft data includes historical surveillance images; acquiring current surveillance data corresponding to the target vehicle, wherein the surveillance data includes current surveillance images of the location area of ​​the target vehicle; determining a fuel anti-theft judgment result corresponding to the target vehicle based on the historical theft data and the current surveillance data; and issuing a fuel anti-theft warning based on the fuel anti-theft judgment result.

[0105] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the vehicle fuel anti-theft method provided by the above methods. The method includes: acquiring historical theft data corresponding to the location area of ​​the target vehicle, wherein the historical theft data includes historical surveillance images; acquiring current surveillance data corresponding to the target vehicle, wherein the surveillance data includes current surveillance images of the location area of ​​the target vehicle; determining a fuel anti-theft judgment result corresponding to the target vehicle based on the historical theft data and the current surveillance data; and issuing a fuel anti-theft warning based on the fuel anti-theft judgment result.

[0106] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown 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 this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0107] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0108] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for preventing vehicle fuel theft, characterized in that, include: Obtain historical theft data corresponding to the location area of ​​the target vehicle, wherein the historical theft data includes historical surveillance images; Obtain the current monitoring data corresponding to the target vehicle, wherein the monitoring data includes the current monitoring image of the location area of ​​the target vehicle; The fuel anti-theft judgment result corresponding to the target vehicle is determined based on the historical stolen data and the current monitoring data; Fuel theft warning will be issued based on the fuel theft detection results. The historical theft data also includes the locations and number of historical thefts within the area where the target vehicle is located; the current monitoring data also includes the ultrasonic monitoring data corresponding to the target vehicle; obtaining the current monitoring data corresponding to the target vehicle includes: Obtain the current monitoring image corresponding to the target vehicle; The warning and monitoring level corresponding to the target vehicle is determined based on the location and number of historical theft incidents. The ultrasonic monitoring range is determined according to the warning monitoring level, and the ultrasonic monitoring data is obtained according to the ultrasonic monitoring range; The step of determining the fuel anti-theft judgment result corresponding to the target vehicle based on the historical theft data and the current monitoring data includes: Determine whether to trigger an alert for abnormal personnel approaching based on the ultrasonic monitoring data; If an alert is triggered that an abnormal person is approaching, the current monitoring image is compared with the historical monitoring image to obtain feature similarity. The features used for feature comparison include human body features and vehicle features. If the feature similarity is higher than the preset image comparison similarity threshold, then the risk of theft will be used as the fuel anti-theft judgment result. After determining that if the feature similarity is higher than a preset image comparison similarity threshold, the fuel anti-theft judgment result will be based on the existence of a theft risk, the method further includes: The current monitoring image is sent to the target user, and the fuel anti-theft judgment result is adjusted based on the feedback information returned by the target user.

2. The vehicle fuel anti-theft method according to claim 1, characterized in that, The current monitoring data also includes the fuel level height and / or fuel level change rate of the target vehicle. The method further includes: Determine whether the fuel level of the target vehicle is abnormally decreasing based on the fuel level height and / or the rate of change of the fuel level. If the fuel level of the target vehicle drops abnormally, the risk of theft will be considered as the fuel theft prevention judgment result.

3. The vehicle fuel anti-theft method according to claim 1, characterized in that, The step of issuing a fuel theft warning based on the fuel theft detection result includes: If the fuel anti-theft assessment result indicates a risk of theft, an alarm will be triggered, and the location information of the target vehicle will be uploaded to a preset sharing platform.

4. A vehicle fuel anti-theft device, characterized in that, include: The first data acquisition module is used to acquire historical theft data corresponding to the location area of ​​the target vehicle, wherein the historical theft data includes historical surveillance images; The second data acquisition module is used to acquire the current monitoring data corresponding to the target vehicle, wherein the monitoring data includes the current monitoring image of the location area of ​​the target vehicle; The data processing module is used to determine the fuel anti-theft judgment result corresponding to the target vehicle based on the historical stolen data and the current monitoring data; The anti-theft warning module is used to issue a fuel anti-theft warning based on the fuel anti-theft judgment result; The historical theft data also includes the locations and number of historical thefts within the area where the target vehicle is located; the current monitoring data also includes the ultrasonic monitoring data corresponding to the target vehicle; obtaining the current monitoring data corresponding to the target vehicle includes: Obtain the current monitoring image corresponding to the target vehicle; The warning and monitoring level corresponding to the target vehicle is determined based on the location and number of historical theft incidents. The ultrasonic monitoring range is determined according to the warning monitoring level, and the ultrasonic monitoring data is obtained according to the ultrasonic monitoring range; The step of determining the fuel anti-theft judgment result corresponding to the target vehicle based on the historical theft data and the current monitoring data includes: Determine whether to trigger an alert for abnormal personnel approaching based on the ultrasonic monitoring data; If an alert for an abnormal person approaching is triggered, the current monitoring image is compared with the historical monitoring image to obtain feature similarity. The features include human body features and vehicle features. If the feature similarity is higher than the preset image comparison similarity threshold, then the risk of theft will be used as the fuel anti-theft judgment result. After stating that if the feature similarity is higher than a preset image comparison similarity threshold, then the existence of a risk of theft will be used as the fuel anti-theft judgment result, the method further includes: The current monitoring image is sent to the target user, and the fuel anti-theft judgment result is adjusted based on the feedback information returned by the target user.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the vehicle fuel anti-theft method as described in any one of claims 1 to 3.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the vehicle fuel anti-theft method as described in any one of claims 1 to 3.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the vehicle fuel anti-theft method as described in any one of claims 1 to 3.

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