Method, system and equipment for judging abnormal non-dormancy of vehicle and medium

Abstract

The invention is suitable for the technical field of vehicle monitoring, and discloses a vehicle abnormal non-dormancy judgment method, system and device and a medium, the method comprises the steps that whole vehicle signal data of a vehicle are collected in real time, and the signal data comprise first signal data and second signal data; the first signal data comprises a whole vehicle power supply mode state signal, a driving side vehicle door state signal, a co-driving side vehicle door state signal, a left rear side vehicle door state signal, a right rear vehicle door state signal, a front hatch cover state signal, a tail door state signal, a whole vehicle high-voltage state signal and a double-flashing-light turn-on state signal; and determining that the vehicle is abnormally non-dormant based on the non-dormant time threshold of the vehicle in combination with the condition of collecting the signal data when the whole vehicle power mode state signal is in the power-off state. According to the scheme, the abnormal non-dormant state of the vehicle is monitored in real time, the feed risk of the whole vehicle can be avoided in advance, meanwhile, vehicle faults can be checked easily, and the cost for solving the problem of power shortage of the vehicle is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle monitoring, and in particular to a method, system, device and medium for determining whether a vehicle is abnormally not in sleep mode. Background Art

[0002] With the rapid development of intelligent and networked vehicle models, automobiles need more and more modules to realize functions, and the number of nodes involved in network management is also increasing, resulting in an increase in the overall power consumption of the automobile. According to the sleep and wake-up mechanism of network management, after the car is powered off, if a certain ECU (Electronic Control Unit) electronic controller cannot enter the sleep state, all other nodes involved in the network management of the entire vehicle will also be unable to sleep, which can easily cause the vehicle to run out of power. When the car is stationary, it is only powered by the battery in the car. If it is left for a long time, it will inevitably cause the battery to run out of power, resulting in many problems such as the car being unable to start, electronic controller failure, shortened battery life or damage.

[0003] At present, if an ECU does not sleep, a bus engineer needs to follow the vehicle to collect real vehicle data to lock the problem ECU, then remove the wires, collect and check data from all aspects, and verify the conclusions from multiple aspects to determine the reason why the problem ECU does not sleep. The whole process is not only time-consuming and labor-intensive, but also prone to conclusion errors due to the lack of experience of the bus engineer. Summary of the invention

[0004] To solve the above problems, the present invention provides a method, system, device and medium for determining whether a vehicle is abnormally non-sleeping. The method monitors the abnormal non-sleeping state of the vehicle in real time, which can avoid the risk of power supply to the whole vehicle in advance, and at the same time helps to troubleshoot vehicle faults and reduce the cost of solving the problem of vehicle power shortage.

[0005] To achieve the above object, the present invention adopts the following technical solution:

[0006] In a first aspect, the present invention provides a method for determining whether a vehicle is abnormally not in sleep mode, comprising:

[0007] Collect vehicle signal data in real time;

[0008] Based on the time threshold of the vehicle not sleeping and the situation of collecting vehicle signal data after the vehicle is powered off, it is determined that the vehicle is abnormally not sleeping.

[0009] Furthermore, the vehicle signal data includes: first signal data and second signal data; the first signal data includes: vehicle power mode status signal, driver's side door status signal, co-pilot side door status signal, left rear door status signal, right rear door status signal, front hood door status signal, tailgate status signal; the second signal data includes other signal data in the vehicle signal data except the first signal data.

[0010] Furthermore, based on the time threshold of the vehicle not sleeping, combined with the situation of collecting vehicle signal data after the vehicle is powered off, it is determined that the vehicle is abnormally not sleeping, including:

[0011] If the time during which the vehicle power mode status signal is in the power-off state is less than the vehicle non-sleep time threshold, and no change in the state of any of the driver's door status signal, the front passenger door status signal, the left rear door status signal, the right rear door status signal, the front hatch door status signal, and the tailgate status signal is collected, then the vehicle status is determined to be in an unoperated state;

[0012] If the vehicle power mode status signal is in the power-off state for a time period exceeding the vehicle non-sleep time threshold, the vehicle is in an inoperative state and the second signal data can be collected, the vehicle is determined to be abnormally non-sleep.

[0013] Furthermore, the vehicle signal data includes: first signal data and second signal data; the first signal data includes: vehicle power mode status signal and vehicle high voltage status signal; the second signal data includes other signal data in the vehicle signal data except the first signal data.

[0014] Furthermore, based on the time threshold of the vehicle not sleeping, combined with the situation of collecting vehicle signal data after the vehicle is powered off, it is determined that the vehicle is abnormally not sleeping, including:

[0015] If the vehicle power mode status signal is in the power-off state for a period of time exceeding the vehicle non-sleep time threshold, the collected vehicle high-voltage state signal is in the low high-voltage state and the second signal data can be collected, the vehicle is determined to be abnormally non-sleep.

[0016] Furthermore, the vehicle signal data includes: first signal data and second signal data; the first signal data includes: vehicle power mode status signal and double flash light on status signal; the second signal data includes other signal data in the vehicle signal data except the first signal data.

[0017] Furthermore, based on the time threshold of the vehicle not sleeping, combined with the situation of collecting vehicle signal data after the vehicle is powered off, it is determined that the vehicle is abnormally not sleeping, including:

[0018] If the vehicle power mode status signal is in the power-off state for a period of time that exceeds the vehicle non-sleep time threshold, the collected double flash light on state signal is in the off state and the second signal data can be collected, the vehicle is determined to be abnormally non-sleep.

[0019] In a second aspect, the present invention further provides a vehicle abnormal non-sleep judgment system, comprising:

[0020] A collection module is used to collect the vehicle signal data in real time;

[0021] The determination module is used to determine that the vehicle is abnormally not in sleep mode based on a time threshold of the vehicle not in sleep mode and the situation of collecting vehicle signal data after the vehicle is powered off.

[0022] In a third aspect, the present invention further provides an electronic device, comprising: a processor and a memory;

[0023] The processor is coupled to the memory;

[0024] The processor is used to read and execute the program or instructions stored in the memory, so that the device executes the method of the first aspect.

[0025] In a fourth aspect, the present invention further provides a computer-readable storage medium storing a computer program, which implements the method of the first aspect when executed by a processor.

[0026] The technical solution provided by the present invention has at least the following technical effects or advantages:

[0027] The technical solution of the present invention collects the vehicle's whole vehicle signal data in real time, analyzes the situation of collecting signal data after the vehicle is powered off based on the vehicle's non-sleeping time threshold, determines the vehicle's abnormal non-sleeping state, and reminds relevant personnel to take measures in advance through the background. This solution monitors the vehicle's abnormal non-sleeping state in real time through data analysis, which can avoid the risk of power feeding in the whole vehicle in advance, and at the same time helps to troubleshoot vehicle faults and reduce the cost of solving vehicle power shortage problems.

[0028] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in 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.

[0030] Figure 1 A schematic flow chart of a method for determining that a vehicle is abnormally not in sleep mode in an embodiment of the present invention;

[0031] Figure 2 A schematic diagram of the structure of a vehicle abnormal non-sleep determination system according to an embodiment of the present invention;

[0032] Figure 3 The present invention is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments 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.

[0034] Figure 1 The flowchart of a method for determining that a vehicle is abnormally not in sleep mode in an embodiment of the present invention is shown in the figure. As shown in the figure, the method includes:

[0035] S101, collecting vehicle signal data in real time;

[0036] For example, the vehicle's TBOX (Telematics BOX, an intelligent on-board terminal in the vehicle network system) collects the vehicle's tracking data in real time and uploads the tracking data to the TSP platform (Telematics Service Provider, vehicle remote service platform). The vehicle's tracking data refers to all signal data of the vehicle's status monitored by the vehicle's ECU electronic controller.

[0037] S102: Based on the time threshold of the vehicle not being in sleep mode and in combination with the situation of collecting vehicle signal data after the vehicle is powered off, it is determined that the vehicle is abnormally not in sleep mode.

[0038] For example, the time threshold for the vehicle not to sleep is determined according to actual needs. The time threshold refers to the time threshold for the vehicle's ECU power consumption to not cause the vehicle to be powered on after the vehicle is powered off. It can be determined according to actual needs. After the TSP platform collects the vehicle signal data in real time, it analyzes the vehicle signal data and determines that the vehicle is abnormally not to sleep based on the time threshold for the vehicle not to sleep and the situation of collecting the vehicle signal data after the vehicle is powered off. The details are as follows:

[0039] Taking into account the influence of driver's human factors, the vehicle signal data is divided into first signal data and second signal data. The first signal data includes: vehicle power mode status signal, driver's side door status signal, co-pilot side door status signal, left rear door status signal, right rear door status signal, front hatch door status signal, and tailgate status signal; the second signal data includes other signal data in the vehicle signal data except the first signal data.

[0040] After the vehicle is powered off, if the time during which the vehicle power mode status signal is in the power-off state is less than the vehicle non-sleep time threshold, and no change state of any of the driver's door status signal, the co-driver's door status signal, the left rear door status signal, the right rear door status signal, the front hatch door status signal, and the tailgate status signal in the first signal data is collected, then the state of the vehicle is determined to be an unoperated state, that is, the driver is not operating the vehicle;

[0041] If the vehicle power mode status signal is in the power-off state for a time period exceeding the vehicle non-sleep time threshold, the vehicle is in an inoperative state and the second signal data can be collected, the vehicle is determined to be abnormally non-sleep.

[0042] Normal non-sleep refers to the non-sleep state actively set by the user, such as sentinel mode. After the vehicle is powered off, the vehicle safety protection function will continue to run, causing the vehicle to not sleep. At this time, the high-voltage power supply state of the whole vehicle is in a high-voltage state. Considering that the normal non-sleep scenario is related to the high-voltage power supply state of the whole vehicle, the whole vehicle signal data is divided into the first signal data and the second signal data. The first signal data includes: the whole vehicle power mode state signal, the whole vehicle high-voltage state signal; the second signal data includes other signal data in the whole vehicle signal data except the first signal data.

[0043] After the vehicle is powered off, if the vehicle power mode status signal is in the power-off state for a time period that exceeds the vehicle non-sleep time threshold, the collected vehicle high-voltage state signal is in the low-high-voltage state and the second signal data can be collected, the vehicle is determined to be abnormally non-sleep.

[0044] When the vehicle encounters an abnormal situation during driving and needs to pull over, the driver activates the hazard lights, and the hazard lights on state signal is on. Considering the abnormal situation of operating the hazard lights, the vehicle signal data is divided into first signal data and second signal data. The first signal data includes: vehicle power mode state signal and hazard lights on state signal; the second signal data includes other signal data in the vehicle signal data except the first signal data.

[0045] After the vehicle is powered off, if the vehicle power mode status signal is in the power-off state for a time that exceeds the vehicle non-sleep time threshold, the collected double flash light on status signal is in the off state and the second signal data can be collected, the vehicle is determined to be abnormally non-sleep.

[0046] The technical solution in the embodiments of the present invention has at least the following technical effects or advantages:

[0047] The technical solution of the present invention collects the vehicle's whole vehicle signal data in real time, analyzes the situation of collecting signal data after the vehicle is powered off based on the vehicle's non-sleeping time threshold, determines the vehicle's abnormal non-sleeping state, and reminds relevant personnel to take measures in advance through the background. This solution monitors the vehicle's abnormal non-sleeping state in real time through data analysis, which can avoid the risk of power feeding in the whole vehicle in advance, and at the same time helps to troubleshoot vehicle faults and reduce the cost of solving vehicle power shortage problems.

[0048] Figure 2 The structure diagram of a vehicle abnormal non-sleep judgment system provided in an embodiment of the present invention is shown in the figure. As shown in the figure, the system includes:

[0049] A collection module is used to collect the vehicle signal data in real time;

[0050] The determination module is used to determine that the vehicle is abnormally not in sleep mode based on a time threshold of the vehicle not in sleep mode and the situation of collecting vehicle signal data after the vehicle is powered off.

[0051] It should be noted that, for the sake of convenience, Figure 2 For example, only the main modules of the vehicle abnormal non-sleep judgment system structure are shown. In actual applications, the system may also include modules or components not shown in the figure; the system is not limited to the above module structure, and can also be other module structures that implement the above method embodiments.

[0052] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. As shown in the figure, the electronic device includes: a processor and a memory;

[0053] The processor is used to read and execute programs and instructions stored in the memory, so that the electronic device executes the above method embodiment.

[0054] It should be noted that, for the sake of convenience, Figure 3 For example, only the main components of the electronic device are shown. In actual applications, the electronic device may also include components or assemblies not shown in the figure.

[0055] The present invention also provides a computer-readable storage medium storing a program or instruction. When a computer reads and executes the program or instruction, the computer executes the above method embodiment.

[0056] 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 substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining whether a vehicle is abnormally not in sleep mode, characterized in that: include: Collect vehicle signal data in real time; Based on the time threshold of the vehicle not sleeping and in combination with the situation of collecting the whole vehicle signal data after the vehicle is powered off, it is determined that the vehicle is abnormally not sleeping.

2. The method for determining whether a vehicle is abnormally not in sleep mode according to claim 1, characterized in that: The vehicle signal data includes: first signal data and second signal data; the first signal data includes: vehicle power mode status signal, driver's side door status signal, co-pilot side door status signal, left rear door status signal, right rear door status signal, front bonnet door status signal, tailgate status signal; the second signal data includes other signal data in the vehicle signal data except the first signal data.

3. The method for determining whether a vehicle is abnormally not in sleep mode according to claim 2, characterized in that: The determination that the vehicle is abnormally not in sleep mode based on the time threshold of the vehicle not in sleep mode and the situation of collecting the vehicle signal data after the vehicle is powered off includes: If the time during which the vehicle power mode status signal is in the power-off state is less than the vehicle non-sleep time threshold, and no change in the state of any of the driver's door status signal, the front passenger door status signal, the left rear door status signal, the right rear door status signal, the front hatch door status signal, and the tailgate status signal is collected, then the vehicle status is determined to be in an unoperated state; If the vehicle power mode status signal is in the power-off state for a time period exceeding the vehicle non-sleep time threshold, the vehicle is in an inoperative state and the second signal data can be collected, the vehicle is determined to be abnormally non-sleep.

4. The method for determining whether a vehicle is abnormally not in sleep mode according to claim 1, characterized in that: The vehicle signal data includes: first signal data and second signal data; the first signal data includes: vehicle power mode status signal and vehicle high voltage status signal; the second signal data includes other signal data in the vehicle signal data except the first signal data.

5. The method for determining whether a vehicle is abnormally not in sleep mode according to claim 4, characterized in that: The determination that the vehicle is abnormally not in sleep mode based on the time threshold of the vehicle not in sleep mode and the situation of collecting the vehicle signal data after the vehicle is powered off includes: If the vehicle power mode status signal is in the power-off state for a period of time exceeding the vehicle non-sleep time threshold, the collected vehicle high-voltage state signal is in the low high-voltage state and the second signal data can be collected, the vehicle is determined to be abnormally non-sleep.

6. The method for determining whether a vehicle is abnormally not in sleep mode according to claim 1, characterized in that: The vehicle signal data includes: first signal data and second signal data; the first signal data includes: vehicle power mode status signal and double flash light on status signal; the second signal data includes other signal data in the vehicle signal data except the first signal data.

7. The method for determining whether a vehicle is abnormally not in sleep mode according to claim 6, characterized in that: The determination that the vehicle is abnormally not in sleep mode based on the time threshold of the vehicle not in sleep mode and the situation of collecting the vehicle signal data after the vehicle is powered off includes: If the vehicle power mode status signal is in the power-off state for a period of time that exceeds the vehicle non-sleep time threshold, the collected double flash light on state signal is in the off state and the second signal data can be collected, the vehicle is determined to be abnormally non-sleep.

8. A vehicle abnormal non-sleep judgment system, characterized in that: include A collection module is used to collect the vehicle signal data in real time; The determination module is used to determine that the vehicle is abnormally not in sleep mode based on a time threshold of the vehicle not in sleep mode and the situation of collecting the vehicle signal data after the vehicle is powered off.

9. An electronic device, characterized in that: include: Processor and memory; The processor is coupled to a memory; The processor is used to read and execute the program or instruction stored in the memory, so that the device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored, and when the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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