Vehicle fuel oil anti-theft method, device, equipment, medium and product

By acquiring and analyzing the historical and current monitoring data of the target vehicle, using image feature comparison and ultrasonic monitoring, the fuel anti-theft judgment results are determined and early warning is made, and the fuel theft warning cannot be achieved in the prior art and the safety of fuel is improved.

CN119636637AActive Publication Date: 2025-03-18SINO TRUK JINAN POWER CO LTD
View PDF 6 Cites 0 Cited by

Patent Information

Application Number
CN202510011217.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-03
Publication Date
2025-03-18
Estimated Expiration
2045-01-03

AI Technical Summary

Technical Problem

In the prior art, the vehicle fuel anti-theft method based on fuel level sensor can only alarm after the fuel theft incident occurs, and cannot achieve early warning, resulting in the inability to effectively prevent fuel theft.

Method used

By obtaining historical stolen data and current monitoring data of the location area where the target vehicle belongs, including historical surveillance images and current surveillance images, using image feature comparison and ultrasonic monitoring data, the fuel anti-theft judgment results are determined and early warning is made.

Benefits of technology

It realizes early warning before fuel theft incident, improves the effectiveness of fuel anti-theft, reduces the risk of fuel theft, and improves the safety of fuel.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119636637A_ABST
    Figure CN119636637A_ABST
Patent Text Reader

Abstract

The invention provides a vehicle fuel oil anti-theft method and device, equipment, a medium and a product, and the method comprises the steps: obtaining historical stolen data corresponding to a position area to which a target vehicle belongs, the historical stolen data comprising a historical monitoring image; obtaining current monitoring data corresponding to the target vehicle, the monitoring data including a current monitoring image of a position area to which the target vehicle belongs; determining a fuel oil anti-theft judgment result corresponding to the target vehicle according to the historical stolen data and the current monitoring data; and performing fuel oil anti-theft early warning according to the fuel oil anti-theft judgment result. According to the invention, early warning can be realized before the occurrence of a theft event, and fuel oil anti-theft early warning is realized, so that fuel oil theft prevention is effectively realized, and the fuel oil safety is improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle fuel theft prevention, and in particular to a vehicle fuel theft prevention method, device, equipment, medium and product. Background Art

[0002] With the development of science and technology, vehicles are more and more widely used, and there are more and more large vehicles. The fuel tank capacity of large vehicles can be as high as 1,000 liters. The fuel value of the vehicle is high, but it is easy to be stolen. Therefore, vehicle fuel theft prevention is needed to avoid property loss of the owner.

[0003] In the prior art, the fuel level in the vehicle tank is usually monitored by a fuel level sensor. When the fuel level drops, it is determined that there is a risk of theft and an alarm is issued. The problem with the prior art is that the alarm can only be issued after the fuel theft event occurs, which cannot play a warning role and is not conducive to effectively realizing fuel theft prevention. Summary of the invention

[0004] The present invention provides a vehicle fuel anti-theft method, device, equipment, medium and product, which are used to solve the technical problem that in the prior art, fuel anti-theft alarm is performed based on the fuel level height determined by a fuel level sensor, and the alarm can only be performed after the fuel theft incident occurs, and the warning effect cannot be played, so as to realize fuel anti-theft warning and thus effectively realize fuel anti-theft.

[0005] The present invention provides a vehicle fuel theft prevention method, comprising: Acquire historical stolen data corresponding to the location area to which the target vehicle belongs, wherein the historical stolen data includes historical surveillance images; Acquire current monitoring data corresponding to the target vehicle, wherein the monitoring data includes a current monitoring image of the location area to which the target vehicle belongs; Determine the fuel anti-theft judgment result corresponding to the target vehicle according to the historical stolen data and the current monitoring data; A fuel theft prevention warning is performed according to the fuel theft prevention judgment result.

[0006] According to a vehicle fuel theft prevention method provided by the present invention, the historical theft data also includes the location of historical theft events and the number of historical theft events in the location area to which the target vehicle belongs; The current monitoring data also includes ultrasonic monitoring data corresponding to the target vehicle; The obtaining of current monitoring data corresponding to the target vehicle includes: Acquire a current monitoring image corresponding to the target vehicle; Determine the warning monitoring level corresponding to the target vehicle according to the location of the historical theft incidents and the number of the historical theft incidents; An ultrasonic monitoring range is determined according to the early warning monitoring level, and the ultrasonic monitoring data is acquired according to the ultrasonic monitoring range.

[0007] According to a vehicle fuel theft prevention method provided by the present invention, the fuel theft prevention judgment result corresponding to the target vehicle is determined according to the historical theft data and the current monitoring data, including: Determining whether to trigger an abnormal person approaching warning based on the ultrasonic monitoring data; If an abnormal person approaching warning is triggered, the current monitoring image is compared with the historical monitoring image to obtain feature similarity; If the feature similarity is higher than a preset image comparison similarity threshold, the existence of theft risk is taken as the fuel anti-theft judgment result.

[0008] According to a vehicle fuel theft prevention method provided by the present invention, after the fuel theft prevention judgment result is that if the feature similarity is higher than a preset image comparison similarity threshold, the risk of theft is taken as the fuel theft prevention judgment result, the method further includes: The current monitoring image is sent to a target user, and the fuel theft prevention judgment result is adjusted according to feedback information returned by the target user.

[0009] According to a vehicle fuel anti-theft method provided by the present invention, the current monitoring data also includes the fuel level height and / or fuel level change rate corresponding to the target vehicle; The method further comprises: Determining whether the fuel level corresponding to the target vehicle drops abnormally according to the fuel level height and / or the fuel level change rate; If the fuel level corresponding to the target vehicle drops abnormally, the risk of theft is considered as the fuel anti-theft judgment result.

[0010] According to a vehicle fuel theft prevention method provided by the present invention, the fuel theft prevention warning is performed according to the fuel theft prevention judgment result, comprising: If the fuel anti-theft judgment result is that there is a risk of theft, an alarm is triggered and the location information corresponding to the target vehicle is uploaded to a preset sharing platform.

[0011] The present invention also provides a vehicle fuel anti-theft device, comprising: A first data acquisition module is used to acquire historical stolen data corresponding to the location area to which the target vehicle belongs, wherein the historical stolen data includes historical monitoring images; A second data acquisition module is used to acquire current monitoring data corresponding to the target vehicle, wherein the monitoring data includes a current monitoring image of the location area to which the target vehicle belongs; A data processing module, used to determine a fuel anti-theft judgment result corresponding to the target vehicle according to the historical stolen data and the current monitoring data; The anti-theft warning module is used to provide a fuel anti-theft warning based on the fuel anti-theft judgment result. The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, any of the above-mentioned vehicle fuel theft prevention methods is implemented.

[0012] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the vehicle fuel anti-theft method as described in any one of the above is implemented.

[0013] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the vehicle fuel theft prevention method as described above is implemented.

[0014] The vehicle fuel anti-theft method, device, equipment, medium and product provided by the present invention obtain the historical stolen data corresponding to the location area of ​​the target vehicle, wherein the historical stolen data includes historical monitoring 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; determine the fuel anti-theft judgment result corresponding to the target vehicle according to the historical stolen data and the current monitoring data; and perform a fuel anti-theft warning according to the fuel anti-theft judgment result. In this way, the fuel anti-theft judgment is performed and the fuel anti-theft judgment result is obtained by using the historical stolen data including the historical monitoring images of the historical theft in the corresponding area and the current monitoring data including the current monitoring image of the target vehicle, instead of relying on the liquid level change for judgment. Therefore, real-time judgment is effectively performed based on the current monitoring data that feedbacks the current environment and the historical stolen data related to the fuel theft incident in the corresponding area, so that an early warning can be implemented before the theft incident occurs, such as an early warning before an abnormal person approaches but has not yet effectively carried out the theft behavior, so as to realize the fuel anti-theft early warning, thereby effectively realizing fuel anti-theft and improving fuel safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a schematic flow chart of the vehicle fuel anti-theft method provided by the present invention; Figure 2 It is a flow chart for determining an early warning monitoring level provided by the present invention; Figure 3 It is a data interaction schematic diagram of a vehicle fuel anti-theft method provided by the present invention; Figure 4 It is a specific flow chart of a vehicle fuel anti-theft method provided by the present invention; Figure 5 It is a structural schematic diagram of the vehicle fuel anti-theft device provided by the present invention; Figure 6 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] At present, large vehicles are increasingly used, and fuel theft prevention for large vehicles is also receiving more and more attention. In one application scenario, the fuel level sensor can be used to monitor the fuel level in the vehicle tank. When the fuel level drops, it is determined that there is a risk of theft and an alarm is issued. However, this solution can only issue an alarm after the fuel theft occurs, and cannot serve as an early warning.

[0019] In another application scenario, image recognition algorithms can also be used to make judgments based on the collected activities of people near the vehicle, and to call the police after determining that theft has occurred. However, this solution also cannot achieve the early warning function, and fuel theft will be completed in a very short time. The owner can only call the police afterwards, which cannot effectively prevent it. In addition, it is impossible to obtain information such as the number of fuel theft incidents at the vehicle’s parking location and the characteristics of the vehicle used by the thief, which is not conducive to improving the accuracy of the judgment, and it is also impossible to inform nearby car owners of the location where the theft occurred. The car owners can only take precautions on their own, which is not conducive to improving the success rate of fuel theft prevention.

[0020] In order to solve at least one of the above-mentioned problems, the embodiment of the present invention provides a vehicle fuel anti-theft method. Figure 1-Figure 4 The vehicle fuel anti-theft method provided by the present invention is described as follows: Figure 1 As shown, the method comprises the steps of: S110, obtaining historical stolen data corresponding to the location area to which the target vehicle belongs, wherein the historical stolen data includes historical monitoring images; S120, obtaining current monitoring data corresponding to the target vehicle, wherein the monitoring data includes a current monitoring image of the location area to which the target vehicle belongs; S130, determining a fuel anti-theft judgment result corresponding to the target vehicle according to the historical stolen data and the current monitoring data; S140: Perform a fuel theft prevention warning according to the fuel theft prevention judgment result.

[0021] The method provided by the present invention can make fuel anti-theft judgments and obtain fuel anti-theft judgment results by using historical theft data including historical monitoring images of historical thefts in the corresponding area and current monitoring data including current monitoring images of the target vehicle, instead of relying on liquid level changes for judgment. Thus, real-time judgments can be effectively made based on the current monitoring data that feedbacks the current environment and the historical theft data related to fuel theft events in the corresponding area, and early warnings can be made before the theft event occurs, such as early warnings before abnormal persons approach but before they effectively carry out theft, thus realizing fuel anti-theft early warnings, and then effectively realizing fuel anti-theft and improving fuel safety.

[0022] Specifically, the target vehicle is a vehicle that needs to be fuel-protected. The location area to which the target vehicle belongs can be determined based on the location of the target vehicle and a preset area diameter. For example, taking the location of the target vehicle as the center of the circle, an area within a circle determined based on the area diameter is obtained as the location area to which the target vehicle belongs. In the embodiment of the present invention, the area diameter is taken as 50 kilometers, but it is not specifically limited.

[0023] It should be noted that the vehicle fuel anti-theft method provided by the present invention can be implemented based on preset software or small programs. In the embodiment of the present invention, the steps of implementing the vehicle fuel anti-theft method based on a small program are used as an example for specific description, but it is not a specific limitation.

[0024] Specifically, through the mini program, the location of the vehicle is obtained by using the location service function, and then the historical theft data corresponding to the area to which the target vehicle belongs is queried. For example, it can include historical surveillance images corresponding to historical theft incidents in the area. Furthermore, it can also include other information, such as the location and number of related theft cases within a nearby 50-kilometer diameter, which is not specifically limited here.

[0025] The current monitoring data is data collected by real-time monitoring of the target vehicle, and may include a current monitoring image of the location area to which the target vehicle belongs, and may also include other data, such as parameters corresponding to the target vehicle, etc., which are not specifically limited here.

[0026] In one application scenario, the features of the historical surveillance image and the current surveillance image can be directly compared, and when the similarity reaches a preset threshold, the fuel anti-theft judgment result is determined to be a risk of theft. Specifically, the historical surveillance image includes features such as the thief's vehicle and appearance. If a similar vehicle or similar person is found approaching based on the current surveillance image, the fuel anti-theft judgment result is determined to be a risk of theft, and then a fuel anti-theft warning is issued. In this way, effective warnings can be achieved to reduce the risk of fuel theft.

[0027] In this embodiment, the historical theft data also includes the location of historical theft incidents and the number of historical theft incidents in the location area to which the target vehicle belongs; The current monitoring data also includes ultrasonic monitoring data corresponding to the target vehicle; The obtaining of current monitoring data corresponding to the target vehicle includes: Acquire a current monitoring image corresponding to the target vehicle; Determine the warning monitoring level corresponding to the target vehicle according to the location of the historical theft incidents and the number of the historical theft incidents; An ultrasonic monitoring range is determined according to the early warning monitoring level, and the ultrasonic monitoring data is acquired according to the ultrasonic monitoring range.

[0028] In one application scenario, the warning monitoring level corresponding to the target vehicle can be determined directly based on the number of historical theft events. For example, a corresponding number range is set for each warning monitoring level, and the corresponding warning monitoring level is obtained when the number of historical theft events falls into the corresponding number range.

[0029] In this embodiment, the early warning monitoring level is determined in combination with the location of historical theft events and the number of historical theft events. Specifically, the location area to which the target vehicle belongs is divided into multiple sub-areas, and the number of historical theft events falling into each sub-area is determined based on the location of historical theft events, thereby determining the corresponding early warning monitoring level based on the number of historical theft events in each sub-area. It should be noted that the number of sub-areas, the number of early warning monitoring levels, and the number range corresponding to each early warning monitoring level can be set and adjusted according to actual needs, and are not specifically limited here.

[0030] Figure 2 This is a flow chart for determining the early warning monitoring level provided by the present invention, such as Figure 2 As shown, in an 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-areas. Specifically, a circle with a diameter of 10 kilometers (the specific value can be set and adjusted according to actual needs) is used as the boundary to divide it into inner sub-areas and outer sub-areas, and the number of theft events corresponding to the two sub-areas is determined.

[0031] If the number of historical theft events in the internal sub-area is greater than 2, and the number of historical theft events in the external sub-area is less than 3, the warning monitoring level is set to the first-level warning; otherwise, if the number of historical theft events in the internal sub-area is greater than 1, or the number of historical theft events in the external sub-area is greater than 3, the warning monitoring level is set to the second-level warning; otherwise, if the number of historical theft events in the internal sub-area is 0, and the number of historical theft events in the external sub-area is greater than 1, the warning monitoring level is set to the third-level warning. It should be noted that in the embodiment of the present invention, the first-level warning is the highest warning level, and the warning levels of the second-level warning and the third-level warning are successively reduced.

[0032] It should be noted that, in the embodiment of the present 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 early warning monitoring level setting.

[0033] Furthermore, a corresponding ultrasonic monitoring range is 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 an ultrasonic detection device installed on the target vehicle or an additional ultrasonic detection device. The ultrasonic detection device is responsible for monitoring the vicinity of the fuel tank and has the function of activating early warning. The ultrasonic detection device is set with two levels of monitoring ranges, one is close-range monitoring, with a monitoring range of 30 cm near the fuel tank, and the other is long-range monitoring, with a monitoring range of 100 cm near the fuel tank. If an abnormal person appears within the corresponding monitoring range, a trigger signal can be sent to the image feature recognition unit responsible for image processing to perform image feature recognition and comparison.

[0034] Specifically, the step of determining the fuel anti-theft judgment result corresponding to the target vehicle according to the historical stolen data and the current monitoring data includes: Determining whether to trigger an abnormal person approaching warning based on the ultrasonic monitoring data; If an abnormal person approaching warning is triggered, the current monitoring image is compared with the historical monitoring image to obtain feature similarity; If the feature similarity is higher than a preset image comparison similarity threshold, the existence of theft risk is taken as the fuel anti-theft judgment result.

[0035] In an embodiment of the present invention, the current monitoring image can be acquired by a 360-degree surround view system or other image acquisition device provided on the target vehicle, which is not specifically limited herein. In one application scenario, image feature comparison is performed based on a preset image recognition unit. Specifically, after the image recognition unit receives a trigger signal for an abnormal person approaching an early warning, the data (current monitoring image) transmitted by the 360-degree surround view system is processed, and the historical monitoring image provided by the mini-program is obtained. Feature extraction and classification are performed on the historical monitoring image to identify the physical features of the thief, the vehicle used, and other features, which are used for feature comparison during early warning. Furthermore, feature extraction and feature comparison are also performed on the current monitoring image to determine feature similarity.

[0036] The similarity threshold is a pre-set feature similarity judgment threshold, which can be set and adjusted according to actual needs. In the embodiment of the present invention, it is set to 80%, but it is not specifically limited. If the feature similarity (or the confidence of feature comparison similarity) reaches 80%, it is judged that there is a theft intention, and the risk of theft is used as the fuel anti-theft judgment result.

[0037] Furthermore, after determining that there is a risk of theft as the fuel anti-theft judgment result if the feature similarity is higher than a preset image comparison similarity threshold, the method further includes: The current monitoring image is sent to a target user, and the fuel theft prevention judgment result is adjusted according to feedback information returned by the target user.

[0038] Specifically, the remote communication unit can also send warning information and / or current monitoring images to the mini program, and the mini program can 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 a theft, and adjust the fuel anti-theft judgment result based on the target user's feedback.

[0039] Furthermore, in the embodiment of the present invention, the judgment is also made based on the fuel change of the vehicle to improve the judgment accuracy and thus improve the anti-theft effect.

[0040] Specifically, the current monitoring data also includes the fuel level height and / or fuel level change rate corresponding to the target vehicle; The method further comprises: Determining whether the fuel level corresponding to the target vehicle drops abnormally according to the fuel level height and / or the fuel level change rate; If the fuel level corresponding to the target vehicle drops abnormally, the risk of theft is considered as the fuel anti-theft judgment result.

[0041] Among them, the fuel level height and the rate of change of the fuel level can be determined based on the detection of the fuel level sensor. Specifically, if the fuel level height decreases and / or the rate of change of the fuel level is greater than a preset change threshold, it is directly determined that there is a risk of theft. The change threshold can be set and adjusted according to actual needs and is not specifically limited here. Combining the fuel level height and the rate of change of the fuel level can improve the anti-theft effect, avoid misjudgment caused by changes in the fuel level height caused by normal volatilization of the fuel, and improve the accuracy of judgment.

[0042] Furthermore, the fuel theft prevention warning is performed according to the fuel theft prevention judgment result, including: If the fuel anti-theft judgment result is that there is a risk of theft, an alarm is triggered and the location information corresponding to the target vehicle is uploaded to a preset sharing platform.

[0043] The sharing platform is a pre-set data sharing platform, and the platform corresponding to the mini program can also be used. The sharing platform can share information uploaded by multiple users (each car owner) and notify each user of the information. When the 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 location is marked in the mini program and shared with nearby car owners who also use this mini program, so as to broadcast the vehicle location and request the assistance of nearby car owners, thereby reducing the risk of fuel theft.

[0044] It should be noted that all or part of the steps of the vehicle fuel anti-theft method can be executed by the target vehicle, by a shared platform (mini program), or by an additional anti-theft device, and no specific limitation is made here.

[0045] In one application scenario, the target vehicle is equipped with a 360-degree 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, the storage unit, and the remote communication unit can be provided by an on-board computing platform or an infotainment system. The 360-degree surround view system is mainly responsible for monitoring the surroundings of the vehicle, and can further extract features from the video and provide it to the image recognition unit.

[0046] In another application scenario, the 360-degree surround view system can be replaced by a rear-view camera, or a single surveillance camera can be installed near the fuel tank. The fuel level sensor can be a traditional resistive sensor, and the level monitoring is performed by the instrument, or a device with a controller area network (CAN) communication function can be used to directly transmit the signal. The ultrasonic detection device can be arranged separately around the fuel tank, or further detection devices installed around the vehicle body can be used, or detection radar can be used, which is not specifically limited here.

[0047] Figure 3 Schematic diagram of data interaction of a vehicle fuel anti-theft method provided by the present invention. Figure 3As shown, in the embodiment of the present invention, based on the data interaction and processing between the target vehicle and the applet, the vehicle fuel theft prevention is realized, and the applet is used to achieve mutual communication and mutual assistance among multiple car owners. Specifically, the applet summarizes the location, time, and image features of the vehicle used for theft of fuel theft based on historical monitoring images, and provides the car owner with an intuitive understanding of the possibility of theft. At the same time, different fuel theft prevention monitoring levels are set using this information, and an early warning is issued before the theft begins, and the video around the vehicle is transmitted to the car owner in real time. When theft occurs, the location of the theft can be marked and shared with nearby car friends with the help of the applet to seek assistance and improve the efficiency of solving the case. Finally, the data information can also be used to generate the activity trend of the theft trajectory, which is convenient for analysis and tracking, and improves the efficiency of solving the case. Based on the applet, the following functions can be specifically realized: location positioning, display of the location and events of theft within a 50-kilometer diameter range in the past 3 months (the specific time period can be set and adjusted according to actual needs), uploading of theft case information, image feature extraction, risk level assessment, early warning level setting, remote early warning notification, remote video monitoring, sharing of theft location, etc.

[0048] The target vehicle is equipped with modules such as an ultrasonic detection device, a fuel level sensor, a 360-degree surround view system, a remote communication module, a storage module, a local image module (which may include an image recognition unit), etc., to realize corresponding data collection, processing and transmission.

[0049] Figure 4 FIG. 1 is a specific flow chart of a vehicle fuel anti-theft method provided by the present invention. Figure 4 As shown in the figure, the mini program uses the location service function to know the location of the vehicle, and then queries the location and place of theft cases stored within a 50-kilometer radius nearby, and can display them to the car owner in the form of marked points on the map. The number of theft incidents within the assessment range is recommended to the car owner to take the level of warning. Fuel protection monitoring is performed according to the warning level.

[0050] The car owner can view the surveillance video near the vehicle through the mini program. When the warning is activated, the car owner will be notified through the mini program. At this time, the car owner can view the video. If the car owner thinks the theft is about to happen, he can click the alarm option. At this time, the vehicle location will be marked as theft in progress in the mini program and shared with nearby car owners to request assistance. The location sharing function during warning and alarm can increase the owner's response time, and with the help of nearby car owners, the chance of solving the theft can be increased. It should be noted that after the alarm is made, the current surveillance image can also be uploaded to the corresponding sharing platform to update the historical surveillance image, realize the update of data, and improve the accuracy of subsequent warning judgments.

[0051] In this way, based on the statistical analysis of nearby theft cases, the theft risk in the corresponding area can be intuitively understood, thereby determining the corresponding early warning monitoring level and achieving better protection. Based on the analysis of the surveillance video of the theft case, the corresponding image features are extracted to achieve targeted identification, which can achieve early warning. While initiating an alarm, the location where the theft occurred can be shared, and nearby car owners can be linked to improve the success rate of protection and the rate of solving the case. Users can also view video surveillance remotely, or actively view it and choose whether to call the police. Furthermore, the movement trajectory of theft in the nearby area can be displayed through the mini program to narrow the scope of investigation.

[0052] The vehicle fuel anti-theft device provided by the present invention is described below. The vehicle fuel anti-theft device described below and the vehicle fuel anti-theft method described above can be referred to each other. Figure 5 As shown, the vehicle fuel anti-theft device provided by the present invention comprises: A first data acquisition module 510 is used to acquire historical stolen data corresponding to the location area to which the target vehicle belongs, wherein the historical stolen data includes historical monitoring images; A second data acquisition module 520 is used to acquire current monitoring data corresponding to the target vehicle, wherein the monitoring data includes a current monitoring image of the location area to which the target vehicle belongs; A data processing module 530 is used to determine a fuel anti-theft judgment result corresponding to the target vehicle according to the historical stolen data and the current monitoring data; The anti-theft warning module 540 is used to issue a fuel anti-theft warning according to the fuel anti-theft judgment result.

[0053] The vehicle fuel anti-theft device provided by the present invention can make fuel anti-theft judgments and obtain fuel anti-theft judgment results by using historical theft data including historical monitoring images of historical thefts in the corresponding area and current monitoring data including current monitoring images of the target vehicle, instead of relying on liquid level changes for judgment. Thus, real-time judgments can be effectively made based on the current monitoring data that feedbacks the current environment and the historical theft data related to fuel theft events in the corresponding area, and early warnings can be implemented before the theft event occurs, such as early warnings before abnormal persons approach but before they effectively carry out theft, so as to implement fuel anti-theft early warnings, thereby effectively implementing fuel anti-theft and improving fuel safety.

[0054] Figure 6 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 6As 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 through the communication bus 640. The processor 610 may call the logic instructions in the memory 630 to execute a vehicle fuel theft prevention method, which includes: obtaining historical theft data corresponding to the location area to which the target vehicle belongs, wherein the historical theft data includes historical monitoring images; obtaining current monitoring data corresponding to the target vehicle, wherein the monitoring data includes current monitoring images of the location area to which the target vehicle belongs; determining the fuel theft prevention judgment result corresponding to the target vehicle according to the historical theft data and the current monitoring data; and performing a fuel theft prevention warning according to the fuel theft prevention judgment result.

[0055] In addition, the logic instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0056] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program 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 theft prevention method provided by the above-mentioned methods, which includes: obtaining historical theft data corresponding to the location area to which the target vehicle belongs, wherein the historical theft data includes historical monitoring images; obtaining current monitoring data corresponding to the target vehicle, wherein the monitoring data includes current monitoring images of the location area to which the target vehicle belongs; determining a fuel theft prevention judgment result corresponding to the target vehicle based on the historical theft data and the current monitoring data; and performing a fuel theft prevention warning based on the fuel theft prevention judgment result.

[0057] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the vehicle fuel anti-theft method provided by the above-mentioned methods, the method comprising: obtaining historical theft data corresponding to the location area to which the target vehicle belongs, wherein the historical theft data includes historical monitoring images; obtaining current monitoring data corresponding to the target vehicle, wherein the monitoring data includes current monitoring images of the location area to which the target vehicle belongs; determining a fuel anti-theft judgment result corresponding to the target vehicle based on the historical theft data and the current monitoring data; and performing a fuel anti-theft warning based on the fuel anti-theft judgment result.

[0058] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0059] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0060] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A vehicle fuel theft prevention method, characterized in that: include: Acquire historical stolen data corresponding to the location area to which the target vehicle belongs, wherein the historical stolen data includes historical surveillance images; Acquire current monitoring data corresponding to the target vehicle, wherein the monitoring data includes a current monitoring image of the location area to which the target vehicle belongs; Determine the fuel anti-theft judgment result corresponding to the target vehicle according to the historical stolen data and the current monitoring data; A fuel theft prevention warning is performed according to the fuel theft prevention judgment result.

2. The vehicle fuel theft prevention method according to claim 1, characterized in that: The historical stolen data also includes the location and number of historical theft incidents in the location area of ​​the target vehicle; the current monitoring data also includes ultrasonic monitoring data corresponding to the target vehicle; The obtaining of current monitoring data corresponding to the target vehicle includes: Acquire a current monitoring image corresponding to the target vehicle; Determine the warning monitoring level corresponding to the target vehicle according to the location of the historical theft incidents and the number of the historical theft incidents; An ultrasonic monitoring range is determined according to the early warning monitoring level, and the ultrasonic monitoring data is acquired according to the ultrasonic monitoring range.

3. The vehicle fuel theft prevention method according to claim 2, characterized in that: The step of determining the fuel anti-theft judgment result corresponding to the target vehicle according to the historical stolen data and the current monitoring data includes: Determining whether to trigger an abnormal person approaching warning based on the ultrasonic monitoring data; If an abnormal person approaching warning is triggered, the current monitoring image is compared with the historical monitoring image to obtain feature similarity; If the feature similarity is higher than a preset image comparison similarity threshold, the existence of theft risk is taken as the fuel anti-theft judgment result.

4. The vehicle fuel theft prevention method according to claim 3, characterized in that: After the existence of theft risk is taken as the fuel theft prevention judgment result if the feature similarity is higher than the preset image comparison similarity threshold, the method further includes: The current monitoring image is sent to a target user, and the fuel theft prevention judgment result is adjusted according to feedback information returned by the target user.

5. The vehicle fuel theft prevention method according to claim 3, characterized in that: The current monitoring data also includes the fuel level height and / or fuel level change rate corresponding to the target vehicle; The method further comprises: Determining whether the fuel level corresponding to the target vehicle drops abnormally according to the fuel level height and / or the fuel level change rate; If the fuel level corresponding to the target vehicle drops abnormally, the risk of theft is considered as the fuel anti-theft judgment result.

6. The vehicle fuel theft prevention method according to claim 1, characterized in that: The fuel theft prevention warning is performed according to the fuel theft prevention judgment result, including: If the fuel anti-theft judgment result is that there is a risk of theft, an alarm is triggered and the location information corresponding to the target vehicle is uploaded to a preset sharing platform.

7. A vehicle fuel anti-theft device, characterized in that: include: A first data acquisition module is used to acquire historical stolen data corresponding to the location area to which the target vehicle belongs, wherein the historical stolen data includes historical monitoring images; A second data acquisition module is used to acquire current monitoring data corresponding to the target vehicle, wherein the monitoring data includes a current monitoring image of the location area to which the target vehicle belongs; A data processing module, used to determine a fuel anti-theft judgment result corresponding to the target vehicle according to the historical stolen data and the current monitoring data; The anti-theft warning module is used to issue a fuel anti-theft warning according to the fuel anti-theft judgment result.

8. 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, the vehicle fuel theft prevention method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the vehicle fuel theft prevention method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the vehicle fuel theft prevention method according to any one of claims 1 to 6 is implemented.

Citation Information

Patent Citations

  • Anti-theft pre-judgment method

    CN111159245A

  • Vehicle owner identification early warning method and system

    CN111391859A

  • Data processing method and device, equipment and storage medium

    CN113537130A

  • Goods stock fuel monitoring system based on temperature and pressure sensor

    CN204109976U

  • Vehicle robbery monitoring system, its method, vehicle robbery monitoring program, and computer readable recording medium recording the program

    JP2002304686A