WO2023103131A1

WO2023103131A1 - Method and device for detecting abnormal behavior, and storage medium and apparatus

Info

Publication number: WO2023103131A1
Application number: PCT/CN2021/143646
Authority: WO
Inventors: 严敏睿; 宋戈; 李嘉豪
Original assignee: 三六零科技集团有限公司
Priority date: 2021-12-08
Filing date: 2021-12-31
Publication date: 2023-06-15
Also published as: CN116279197A

Abstract

The present invention relates to the technical field of the Internet of Vehicles. Disclosed are a method and device for detecting abnormal behavior, and a storage medium and an apparatus. The method comprises: when it is detected that the state of a vehicle part changes, acquiring state change information of the vehicle part; matching the state change information with a state chain corresponding to the vehicle part, wherein the state chain is used for representing a state association relationship among vehicle parts; and according to a matching result, determining whether the vehicle part exhibits abnormal behavior. In the present invention, whether a vehicle part exhibits abnormal behavior is determined by matching state change information of the vehicle part with a state chain corresponding to the vehicle part, such that the abnormality detection of a vehicle can be automatically analyzed, thereby improving the speed and accuracy of abnormal behavior detection.

Description

Abnormal behavior detection method, equipment, storage medium and device

technical field

The present invention relates to the technical field of Internet of Vehicles, in particular to an abnormal behavior detection method, equipment, storage medium and device.

Background technique

At present, there are more and more applications of the Internet of Vehicles in the automotive field, and abnormal behavior detection is an important part of the Internet of Vehicles. The abnormal behavior detection of vehicles in the prior art is usually through manual data analysis, which is time-consuming and labor-intensive, and the accuracy rate is low.

The above content is only used to assist in understanding the technical solution of the present invention, and does not mean that the above content is admitted as prior art.

Contents of the invention

The main purpose of the present invention is to provide a method, equipment, storage medium and device for abnormal behavior detection, aiming at solving the technical problems in the prior art that the detection of abnormal behavior of vehicles is usually through manual data analysis, which is time-consuming, laborious and has low accuracy.

In order to achieve the above object, the present invention provides a method for detecting abnormal behavior, which includes the following steps:

Acquiring state change information of the vehicle component when a change in the state of the vehicle component is detected;

Matching the state change information with the state chain corresponding to the vehicle component, the state chain is used to represent the state association relationship between each vehicle component;

It is determined whether the vehicle component has abnormal behavior according to the matching result.

Optionally, the step of matching the state change information with the state chain corresponding to the vehicle component includes:

determining an associated component associated with the vehicle component according to the state chain corresponding to the vehicle component;

determining association change information corresponding to the association component according to the state change information and the state chain;

Acquiring actual change information of the associated component, and matching the actual change information with the associated change information.

Optionally, the step of determining the associated component associated with the vehicle component according to the state chain corresponding to the vehicle component includes:

Obtaining position information of the vehicle component in the corresponding state chain;

An associated component associated with the vehicle component is determined based on the location information.

Optionally, the step of determining the association change information corresponding to the association component according to the state change information and the state chain includes:

determining a standard state change of the associated component according to the state change information and the state chain;

determining a standard change order of the associated components according to the vehicle components and the state chain;

Generate association change information corresponding to the association component according to the standard state change and the standard change sequence.

Optionally, the step of acquiring actual change information of the associated component and matching the actual change information with the associated change information includes:

Acquiring actual change information of the associated component, and extracting a state change sequence and an actual state change from the actual change information;

extracting a standard change sequence and a standard state change from the associated change information;

matching the sequence of state changes to the standard sequence of changes;

The actual state change is matched with the standard state change.

Optionally, the step of determining whether there is abnormal behavior of the vehicle component according to the matching result includes:

Acquiring control instructions corresponding to the vehicle components;

It is determined whether the vehicle component has abnormal behavior according to the matching result and the control instruction.

Optionally, the step of determining whether there is an abnormal behavior of the vehicle component according to the matching result and the control instruction includes:

determining a target component according to the control instruction, and judging whether the vehicle component is the target component;

It is determined whether the vehicle component has abnormal behavior according to the matching result and the judgment result.

Optionally, before the step of matching the state change information with the state chain corresponding to the vehicle component, it may further include:

Acquiring the running scene of the vehicle component;

A state chain corresponding to the vehicle component is determined according to the running scenario.

Optionally, before the step of obtaining the state change information of the vehicle component when it is detected that the state of the vehicle component changes, it may further include:

Obtain status data of vehicle components;

Whether the state of the vehicle component has changed is detected based on the state data.

Optionally, the step of obtaining status data of vehicle components includes:

Obtain operating data of vehicle components;

The operation data is preprocessed to obtain the state data of the vehicle components.

Optionally, after the step of determining whether there is abnormal behavior of the vehicle component according to the matching result, it further includes:

generating a reminder message when there is an abnormal behavior of the vehicle component;

Send the reminder information to the management terminal, so that the management terminal reminds the user.

Optionally, the step of generating reminder information when there is an abnormal behavior of the vehicle component includes:

When there is an abnormal behavior of the vehicle component, a reminder strategy is determined according to the component category of the vehicle component;

Obtain component information of the vehicle components, and generate reminder information according to the reminder policy and the component information.

In addition, in order to achieve the above object, the present invention also proposes an abnormal behavior detection device, which includes a memory, a processor, and an abnormal behavior detection program stored in the memory and operable on the processor , the abnormal behavior detection program is configured to implement the abnormal behavior detection method as described above.

In addition, to achieve the above object, the present invention also proposes a storage medium, on which an abnormal behavior detection program is stored, and when the abnormal behavior detection program is executed by a processor, the abnormal behavior detection method as described above is realized.

In addition, in order to achieve the above purpose, the present invention also proposes an abnormal behavior detection device, which includes: an information acquisition module, a state matching module, and a behavior detection module;

The information acquisition module is configured to acquire state change information of the vehicle component when a change in the state of the vehicle component is detected;

The state matching module is used to match the state change information with the state chain corresponding to the vehicle component, and the state chain is used to represent the state association relationship between each vehicle component;

The behavior detection module is configured to determine whether the vehicle component has abnormal behavior according to the matching result.

Optionally, the state matching module is further configured to determine an associated component associated with the vehicle component according to the state chain corresponding to the vehicle component;

The state matching module is further configured to determine association change information corresponding to the association component according to the state change information and the state chain;

The state matching module is further configured to obtain actual change information of the associated component, and match the actual change information with the associated change information.

Optionally, the state matching module is further configured to obtain position information of the vehicle component in the corresponding state chain;

The state matching module is further configured to determine an associated component associated with the vehicle component according to the location information.

Optionally, the state matching module is further configured to determine a standard state change of the associated component according to the state change information and the state chain;

The state matching module is further configured to determine the standard change order of the associated components according to the vehicle components and the state chain;

The state matching module is further configured to generate association change information corresponding to the association components according to the standard state change and the standard change sequence.

Optionally, the state matching module is further configured to obtain actual change information of the associated component, and extract state change sequence and actual state change from the actual change information;

The state matching module is further configured to extract standard change order and standard state change from the associated change information;

The state matching module is further configured to match the state change sequence with the standard change sequence;

The state matching module is further configured to match the actual state change with the standard state change.

Optionally, the behavior detection module is also used to obtain control instructions corresponding to the vehicle components;

The behavior detection module is further configured to determine whether there is an abnormal behavior of the vehicle component according to the matching result and the control instruction.

In the present invention, it is disclosed that when a change in the state of a vehicle component is detected, the state change information of the vehicle component is obtained, and the state change information is matched with the state chain corresponding to the vehicle component. The state chain is used to indicate the relationship between each vehicle component According to the matching result, it is determined whether there is an abnormal behavior of the vehicle component; since the present invention judges whether there is abnormal behavior of the vehicle component by matching the state change information of the vehicle component with the state chain corresponding to the vehicle component, it can automatically analyze Vehicle anomaly detection, which in turn improves the speed and accuracy of abnormal behavior detection.

Description of drawings

Fig. 1 is a schematic structural diagram of an abnormal behavior detection device in a hardware operating environment involved in the solution of an embodiment of the present invention;

Fig. 2 is a schematic flow chart of the first embodiment of the abnormal behavior detection method of the present invention;

Fig. 3 is a schematic flow chart of the second embodiment of the abnormal behavior detection method of the present invention;

4 is a schematic flow chart of the third embodiment of the abnormal behavior detection method of the present invention;

FIG. 5 is a schematic flow chart of the fourth embodiment of the abnormal behavior detection method of the present invention;

Fig. 6 is a structural block diagram of the first embodiment of the abnormal behavior detection device of the present invention.

The realization of the purpose of the present invention, functional characteristics and advantages will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Detailed ways

It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

Referring to FIG. 1 , FIG. 1 is a schematic structural diagram of an abnormal behavior detection device in a hardware operating environment involved in the solution of an embodiment of the present invention.

As shown in Figure 1, the abnormal behavior detection device may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display). The optional user interface 1003 may also include a standard wired interface and a wireless interface. The wired interface of the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) memory, or a stable memory (Non-volatile Memory, NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001 .

Those skilled in the art can understand that the structure shown in FIG. 1 does not constitute a limitation on the abnormal behavior detection device, and may include more or less components than shown in the figure, or combine some components, or arrange different components.

As shown in FIG. 1 , the memory 1005 identified as a computer storage medium may include an operating system, a network communication module, a user interface module, and an abnormal behavior detection program.

In the abnormal behavior detection device shown in Figure 1, the network interface 1004 is mainly used to connect to the background server and perform data communication with the background server; the user interface 1003 is mainly used to connect to the user equipment; the abnormal behavior detection device passes through the processor 1001 calls the abnormal behavior detection program stored in the memory 1005, and executes the abnormal behavior detection method provided by the embodiment of the present invention.

Based on the above hardware structure, an embodiment of the abnormal behavior detection method of the present invention is proposed.

Referring to FIG. 2 , which is a schematic flow chart of the first embodiment of the abnormal behavior detection method of the present invention, the first embodiment of the abnormal behavior detection method of the present invention is proposed.

In a first embodiment, the abnormal behavior detection method includes the following steps:

Step S10: Acquiring state change information of the vehicle component when it is detected that the state of the vehicle component has changed.

It should be understood that the execution subject of the method in this embodiment may be an abnormal behavior detection device with data processing, network communication and program running functions, such as a vehicle-mounted computer, server, etc., or other electronic devices that can achieve the same or similar functions , which is not limited in this embodiment.

It should be noted that the vehicle components may include components such as a door, a steering wheel, and an accelerator.

State change information may be information that a vehicle component changes from one state to another. For example, the state change information may be information that the state of the vehicle door changes from open to closed.

It can be understood that acquiring the state change information of the vehicle component may be comparing the state data with the state data of the previous detection period, and determining the state change information of the vehicle component according to the comparison result. Wherein, the detection cycle may be preset, for example, the detection cycle may be set to 1S.

Step S20: Match the state change information with the state chain corresponding to the vehicle component, the state chain is used to represent the state association relationship between the various vehicle components.

It should be noted that the state chain is used to represent the state association relationship of each vehicle component during normal operation. For example, the state chain may be that the states of the components S1, S2, S3 sequentially change from off to on.

It should be understood that matching the state change information with the state chain corresponding to the vehicle component may be to determine the associated component associated with the vehicle component according to the state chain corresponding to the vehicle component, and determine the corresponding Associating change information, obtaining actual change information of associated components, and matching the actual change information with the associated change information.

It should be noted that the associated component may be a component associated with the existence state of the vehicle component. For example, the state chain is that the states of components S1, S2, and S3 change sequentially. When the vehicle component is S2, the components associated with the vehicle component state are S1 and S3.

In a specific implementation, for example, when the state chain is the state of components S1, S2, and S3 from closed to open in sequence, when the vehicle component is S2, the associated components are S1 and S3, and when the state change information of S2 is from open to closed, The association change information corresponding to the association components is that S1 is turned from off to on, and S3 is turned from off to on.

It can be understood that matching the actual change information with the associated change information may be when the actual change information is from on to off and the associated change information is from off to on, and it is determined that the matching between the actual change information and the associated change information fails; From off to on, and the association change information is from off to on, it is determined that the actual change information matches the association change information successfully.

Step S30: Determine whether the vehicle component has abnormal behavior according to the matching result.

It should be understood that when the matching result is a matching failure, it means that the state change of the associated component is different from the state chain, and the vehicle component does not change with the change of the associated component, and it can be determined that there is an abnormal behavior of the vehicle component; when the matching result is a successful matching When , it shows that the state change of the associated component is the same as the state chain, and the vehicle component changes with the change of the associated component, so it can be determined that there is no abnormal behavior of the vehicle component.

In the first embodiment, it is disclosed that when the state change of a vehicle component is detected, the state change information of the vehicle component is obtained, and the state change information is matched with the state chain corresponding to the vehicle component. The state chain is used to represent each vehicle component According to the state association relationship between the vehicle components, it is determined whether there is an abnormal behavior of the vehicle component according to the matching result; since in this embodiment, it is judged whether the vehicle component has abnormal behavior by matching the state change information of the vehicle component with the state chain corresponding to the vehicle component, thus It can automatically analyze and detect abnormalities of vehicles, thereby improving the speed and accuracy of abnormal behavior detection.

Referring to FIG. 3 , FIG. 3 is a schematic flowchart of the second embodiment of the abnormal behavior detection method of the present invention. Based on the first embodiment shown in FIG. 2 above, the second embodiment of the abnormal behavior detection method of the present invention is proposed.

In the second embodiment, the step S20 includes:

Step S201: Determine an associated component associated with the vehicle component according to the state chain corresponding to the vehicle component.

It should be noted that the associated component may be a component associated with the existence state of the vehicle component. For example, the state chain is that the states of components S1, S2, and S3 are in sequence from closed to open, and when the vehicle component is S2, the components that are associated with the state of the vehicle component are S1 and S3.

It should be understood that determining the associated component associated with the vehicle component according to the state chain corresponding to the vehicle component may be analyzing the state chain corresponding to the vehicle component, and determining the associated component associated with the vehicle component according to the analysis result.

Step S202: Determine association change information corresponding to the association component according to the state change information and the state chain.

Step S203: Obtain actual change information of the associated component, and match the actual change information with the associated change information.

It should be noted that the actual change information may be actual state change information of associated components.

In the second embodiment, it is disclosed that the associated parts associated with the vehicle parts are determined according to the state chains corresponding to the vehicle parts, the associated change information corresponding to the associated parts is determined according to the state change information and the state chain, the actual change information of the associated parts is obtained, and The actual change information is matched with the associated change information, so that matching reliability can be improved.

In the second embodiment, the step S30 includes:

Step S301: Obtain control instructions corresponding to the vehicle components.

It should be understood that in practical applications, there are still situations where the user directly controls the vehicle components. In order to avoid misjudgment, in this embodiment, the control instructions corresponding to the vehicle components are also obtained, and it is determined whether the vehicle components have abnormal behavior according to the matching result and the control instructions.

It should be noted that the control instruction may be issued by the user through the vehicle-machine system, or may be issued by the user through the user terminal. Wherein, the user terminal may establish a communication connection with the abnormal behavior detection device in advance, and the user terminal may be a device such as a mobile phone or a bracelet.

Step S302: Determine whether the vehicle component has abnormal behavior according to the matching result and the control instruction.

It can be understood that determining whether the vehicle component has abnormal behavior according to the matching result and the control instruction may be determining the target component according to the control instruction, and judging whether the vehicle component is the target component, and determining whether the vehicle component is abnormal according to the matching result and the judgment result Behavior.

It should be understood that, according to the matching result and the judgment result, determining whether there is an abnormal behavior of the vehicle component may be when the matching result is a matching failure, and the vehicle component is not the target component, and it is determined that the vehicle component has an abnormal behavior; when the matching result is a matching failure , to determine that there is no abnormal behavior of the vehicle components.

In the second embodiment, it is disclosed to obtain the control instructions corresponding to the vehicle components, and determine whether the vehicle components have abnormal behavior according to the matching results and the control instructions; since this embodiment can further verify the influence of the control instructions on the vehicle components, thus avoiding the Misjudgments occur, improving the accuracy of abnormal behavior detection.

Referring to FIG. 4 , FIG. 4 is a schematic flowchart of the third embodiment of the abnormal behavior detection method of the present invention. Based on the second embodiment shown in FIG. 3 above, the third embodiment of the abnormal behavior detection method of the present invention is proposed.

In the third embodiment, the step S201 includes:

Step S2011: Obtain the position information of the vehicle component in the corresponding state chain.

It should be understood that analyzing the state chains corresponding to the vehicle components one by one is time-consuming and laborious, and the processing speed is slow. Therefore, in order to overcome the above defects, in this embodiment, the position information of the vehicle component in the corresponding state chain is obtained first, and then the associated component associated with the vehicle component is determined according to the position information.

It should be noted that the position information may be the position of the vehicle component in the state chain.

Step S2012: Determine an associated component associated with the vehicle component according to the location information.

It can be understood that determining the associated component associated with the vehicle component according to the position information may be determining a component adjacent to the vehicle component in the state chain according to the position information, and using this component as an associated component associated with the vehicle component.

In a specific implementation, for example, the state chain is that the states of components S1, S2, and S3 are sequentially turned from closed to open, and when the vehicle component is S2, the position information of the vehicle component in the corresponding state chain is located between S1 and S3, then According to the location information, it can be determined that the associated components associated with the vehicle components are S1 and S3.

In the third embodiment, it is disclosed that the position information of the vehicle component in the corresponding state chain is obtained, and the associated component associated with the vehicle component is determined according to the position information; since this embodiment is directly based on the position information of the vehicle component in the corresponding state chain Position information is used to determine associated components, thereby increasing the speed of determining key components, thereby improving the overall speed of abnormal behavior detection.

In the third embodiment, the step S202 includes:

Step S2021: Determine a standard state change of the associated component according to the state change information and the state chain.

It should be noted that the standard state change may be a state change of an associated component during normal operation.

In a specific implementation, for example, when the state chain is the state of components S1, S2, and S3 from closed to open in sequence, when the vehicle component is S2, the associated components are S1 and S3, and when the state change information of S2 is from open to closed, The quasi-state changes corresponding to the associated components are S1 from off to on, and S3 from off to on.

Step S2022: Determine the standard change order of the associated components according to the vehicle components and the state chain.

It should be noted that the standard change sequence may be the state change sequence of each associated component during normal operation.

In a specific implementation, for example, when the state chain is the state of components S1, S2, and S3 from closed to open in sequence, when the vehicle component is S2, the associated components are S1 and S3, and the standard change order is first S1 from closed to open, and then S2 goes from off to on, and finally S3 goes from off to on.

Step S2023: Generate association change information corresponding to the association component according to the standard state change and the standard change sequence.

It should be understood that generating the associated change information corresponding to the associated component according to the standard state change and the standard change sequence may be to use the standard state change and the standard change sequence as the associated change information corresponding to the associated component.

In the third embodiment, it is disclosed that the standard state change of associated components is determined according to the state change information and the state chain, the standard change sequence of the associated components is determined according to the vehicle component and the state chain, and the corresponding component is generated according to the standard state change and the standard change sequence. The association change information; since this embodiment additionally introduces the standard change sequence of the association components to generate the association change information, the reliability of the association change information is improved, and the accuracy of abnormal behavior detection is ensured.

In the third embodiment, the step S203 includes:

Step S2031: Obtain the actual change information of the associated component, and extract the state change order and the actual state change from the actual change information.

It should be understood that extracting the state change sequence and the actual state change from the actual change information may be extracting the state change sequence and the actual state change from the actual change information according to the information identifier. Wherein, the information identifier is used to represent information content.

Step S2032: Extract standard change order and standard state change from the associated change information.

It can be understood that the extraction of the standard change order and the standard state change from the association change information may also extract the standard change order and the standard state change from the association change information according to the information identifier.

Step S2033: Match the state change sequence with the standard change sequence.

It should be understood that in practical applications, in addition to abnormal state changes, abnormal behaviors also have abnormal state change sequences. For example, when the state chain is the state of components S1, S2, and S3 from closed to open in turn, when the vehicle component is S2, the associated components are S1 and S3, and the standard change sequence is S1 from closed to open, and then S2 from closed to open, Finally S3 goes from off to on. If the state change order is different from the standard change order, then the state change order of the associated component is abnormal. Therefore, in this embodiment, the state change sequence is also matched with the standard change sequence.

Step S2034: Match the actual state change with the standard state change.

It should be understood that matching the actual change information with the standard state change may be when the actual change information is from on to off and the standard state is from off to on, and it is determined that the matching between the actual change information and the standard state change fails; From closed to open, when the standard state changes from closed to open, it is determined that the actual change information matches the associated change information successfully.

In the third embodiment, it is disclosed that the actual change information of associated components is obtained, and the state change order and actual state change are extracted from the actual change information, the standard change order and standard state change are extracted from the associated change information, and the state change order Matching with the standard change sequence matches the actual state change with the standard state change; since this embodiment also matches the state change sequence during matching, the accuracy of abnormal behavior detection is further improved.

Referring to FIG. 5 , FIG. 5 is a schematic flowchart of the fourth embodiment of the abnormal behavior detection method of the present invention. Based on the first embodiment shown in FIG. 2 above, the fourth embodiment of the abnormal behavior detection method of the present invention is proposed.

In the fourth embodiment, before the step S10, it also includes:

Step S01: Acquiring status data of vehicle components.

It should be understood that, in order to determine whether the state of the vehicle component changes, in this embodiment, the state data of the vehicle component may be obtained, and whether the state of the vehicle component changes is detected according to the state data.

It should be noted that the status data may include data such as component operating time and component operating parameters.

It can be understood that acquiring the status data of the vehicle components may be acquiring the status data uploaded by each sensor through a preset communication method. Wherein, the preset communication mode can be set in advance, for example, the CAN bus communication is set as the preset communication mode, and each sensor can be pre-installed on the vehicle component for real-time detection of data of the vehicle component.

Furthermore, it is relatively difficult to directly obtain status data. Therefore, in order to improve the data acquisition speed, the step S10 includes:

Obtain operating data of vehicle components;

It should be noted that the running data may be data generated by vehicle components during running.

It should be understood that the preprocessing of the operating data to obtain the status data of the vehicle components may be screening and filtering the operating data to remove interference data and obtain the status data of the vehicle components.

Step S02: Detecting whether the state of the vehicle component changes according to the state data.

It should be understood that detecting whether the state of the vehicle component changes according to the state data may be comparing the state data with the state data of the previous detection period, and detecting whether the state of the vehicle component changes according to the comparison result. Wherein, the detection cycle can be preset.

It can be understood that detecting whether the state of the vehicle component changes according to the result may be to determine that the state of the vehicle component has changed when the comparison result is that the state data is different from the state data of the previous detection cycle; When the state data of a detection period are the same, it is determined that the state of the vehicle component has not changed.

In the fourth embodiment, it is disclosed that the status data of the vehicle components is obtained, and whether the status of the vehicle components changes is detected according to the status data, so that the reliability of the status detection can be ensured.

In the fourth embodiment, before the step S20, it also includes:

Step S110: Obtain the running scene of the vehicle component.

It should be understood that in practical applications, the state chains corresponding to vehicle components are not fixed, and different operating scenarios correspond to different state chains. Therefore, in order to ensure the accuracy of the state chain, in this embodiment, the operating scene of the vehicle component is obtained first, and then the state chain corresponding to the vehicle component is determined according to the operating scene.

It should be noted that the running scene may be a parking scene, a driving scene, a reversing scene, and the like.

Step S120: Determine the state chain corresponding to the vehicle component according to the running scenario.

It can be understood that determining the state chain corresponding to the vehicle component according to the running scenario may be searching the state chain corresponding to the running scenario in a preset state table. Wherein, the preset state table includes a corresponding relationship between running scenarios and state chains, and the corresponding relationship between running scenarios and state chains can be preset.

In the fourth embodiment, it is disclosed to obtain the operation scene of the vehicle component, and determine the state chain corresponding to the vehicle part according to the operation scene; because this embodiment can adopt different state chains according to the actual situation, thereby ensuring the reliability of the state chain sex.

In the fourth embodiment, after the step S30, further include:

Step S40: generating reminder information when the vehicle component has abnormal behavior.

It should be understood that, in order to promptly remind the user of the abnormal behavior of the vehicle component, in this embodiment, when the vehicle component has abnormal behavior, a reminder message is generated and sent to the management terminal, so that the management terminal reminds the user.

It should be noted that the reminder information can be preset, for example, "there is an abnormality in the vehicle" is used as the reminder information.

Further, in order to make the reminder information more in line with the actual needs of the user, the step S40 includes:

Obtain component information of the vehicle components, and generate reminder information according to the reminder strategy and the component information.

It should be noted that the reminder strategy may include strategies such as voice reminder, text reminder, and light reminder.

It can be understood that determining the reminder strategy according to the component category of the vehicle component may be to look up a reminder strategy corresponding to the component category in a preset strategy table. Wherein, the preset strategy table includes the corresponding relationship between component categories and reminder strategies, and the corresponding relationship between component categories and reminder strategies can be preset. For example, the reminder policy corresponding to the car door may be a voice reminder.

It should be noted that the component information may include information such as component names and component locations.

Step S50: Send the reminder information to the management terminal, so that the management terminal reminds the user.

It should be understood that sending the reminder information to the management terminal may be sending the reminder information to the management terminal through a preset communication connection. Wherein, the preset communication connection may be preset.

In the fourth embodiment, it is disclosed that when there is an abnormal behavior of a vehicle part, a reminder message is generated, and the reminder message is sent to the management terminal, so that the management terminal reminds the user; because this embodiment will remind the user when the vehicle part has an abnormality , thereby improving the user experience.

In addition, the embodiment of the present invention also proposes a storage medium, on which an abnormal behavior detection program is stored, and when the abnormal behavior detection program is executed by a processor, the abnormal behavior detection method as described above is implemented.

In addition, referring to FIG. 6 , an embodiment of the present invention also proposes an abnormal behavior detection device, which includes: an information acquisition module 10, a state matching module 20, and a behavior detection module 30;

The information acquisition module 10 is configured to acquire state change information of the vehicle component when a change in the state of the vehicle component is detected.

The state matching module 20 is configured to match the state change information with the state chains corresponding to the vehicle components, and the state chains are used to represent the state correlations between the various vehicle components.

The behavior detection module 30 is configured to determine whether there is an abnormal behavior of the vehicle component according to the matching result.

It should be understood that when the matching result is a matching failure, it means that the state change of the associated component is different from the state chain, and the vehicle component does not change with the change of the associated component, and it can be determined that there is an abnormal behavior of the vehicle component; when the matching result is a successful matching When , it shows that the state change of the associated components is the same as the state chain, and the vehicle components change with the change of the associated components, so it can be determined that there is no abnormal behavior of the vehicle components.

In this embodiment, it is disclosed that when the state change of a vehicle component is detected, the state change information of the vehicle component is obtained, and the state change information is matched with the state chain corresponding to the vehicle component. The state chain is used to represent the relationship between each vehicle component. According to the matching result, it is determined whether there is an abnormal behavior of the vehicle component; because in this embodiment, it is judged whether there is abnormal behavior of the vehicle component by matching the state change information of the vehicle component with the state chain corresponding to the vehicle component, so that it can Automated analysis detects anomalies in vehicles, which in turn improves the speed and accuracy of abnormal behavior detection.

For other embodiments or specific implementations of the abnormal behavior detection device of the present invention, reference may be made to the above-mentioned method embodiments, which will not be repeated here.

It should be noted that, as used herein, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or system comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or system. Without further limitations, an element defined by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article or system comprising that element.

The serial numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third etc. does not indicate any order and these words may be interpreted as designations.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as a read-only memory image (Read Only Memory image, ROM)/random access memory (Random Access Memory, RAM), magnetic disk, optical disk), including several instructions to make a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device) etc.) to perform the methods described in various embodiments of the present invention.

The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process conversion made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related technical fields , are all included in the scope of patent protection of the present invention in the same way.

Claims

A method for detecting abnormal behavior, characterized in that the method for detecting abnormal behavior comprises the following steps:

Acquiring state change information of the vehicle component when a change in the state of the vehicle component is detected;

Matching the state change information with the state chain corresponding to the vehicle component, the state chain is used to represent the state association relationship between each vehicle component;

It is determined whether the vehicle component has abnormal behavior according to the matching result.
The abnormal behavior detection method according to claim 1, wherein the step of matching the state change information with the state chain corresponding to the vehicle component comprises:

determining an associated component associated with the vehicle component according to the state chain corresponding to the vehicle component;

determining association change information corresponding to the association component according to the state change information and the state chain;

Acquiring actual change information of the associated component, and matching the actual change information with the associated change information.
The abnormal behavior detection method according to claim 2, wherein the step of determining the associated component associated with the vehicle component according to the state chain corresponding to the vehicle component comprises:

Obtaining position information of the vehicle component in the corresponding state chain;

An associated component associated with the vehicle component is determined based on the location information.
The abnormal behavior detection method according to claim 2, wherein the step of determining the associated change information corresponding to the associated component according to the state change information and the state chain includes:

determining a standard state change of the associated component according to the state change information and the state chain;

determining a standard change order of the associated components according to the vehicle components and the state chain;

Generate association change information corresponding to the association component according to the standard state change and the standard change sequence.
The abnormal behavior detection method according to claim 2, wherein the step of acquiring the actual change information of the associated component and matching the actual change information with the associated change information comprises:

Acquiring actual change information of the associated component, and extracting a state change sequence and an actual state change from the actual change information;

extracting a standard change sequence and a standard state change from the associated change information;

matching the sequence of state changes to the standard sequence of changes;

The actual state change is matched with the standard state change.
The abnormal behavior detection method according to any one of claims 1 to 5, wherein the step of determining whether the vehicle component has abnormal behavior according to the matching result comprises:

Acquiring control instructions corresponding to the vehicle components;

It is determined whether the vehicle component has abnormal behavior according to the matching result and the control instruction.
The abnormal behavior detection method according to claim 6, wherein the step of determining whether the vehicle component has abnormal behavior according to the matching result and the control instruction comprises:

determining a target component according to the control instruction, and judging whether the vehicle component is the target component;

It is determined whether the vehicle component has abnormal behavior according to the matching result and the judgment result.
The abnormal behavior detection method according to any one of claims 1 to 5, wherein, before the step of matching the state change information with the state chain corresponding to the vehicle component, further comprising:

Acquiring the running scene of the vehicle component;

A state chain corresponding to the vehicle component is determined according to the running scenario.
The abnormal behavior detection method according to any one of claims 1 to 5, characterized in that, before the step of obtaining the state change information of the vehicle component when it is detected that the state of the vehicle component changes, further comprising :

Obtain status data of vehicle components;

Whether the state of the vehicle component has changed is detected based on the state data.
The abnormal behavior detection method according to claim 9, wherein the step of obtaining the state data of the vehicle components comprises:

Obtain operating data of vehicle components;

The operation data is preprocessed to obtain the state data of the vehicle components.
The abnormal behavior detection method according to any one of claims 1 to 5, characterized in that, after the step of determining whether there is abnormal behavior in the vehicle component according to the matching result, further comprising:

generating a reminder message when there is an abnormal behavior of the vehicle component;

Send the reminder information to the management terminal, so that the management terminal reminds the user.
The abnormal behavior detection method according to claim 11, wherein the step of generating reminder information when there is abnormal behavior in the vehicle component comprises:

When there is an abnormal behavior of the vehicle component, a reminder strategy is determined according to the component category of the vehicle component;

Obtain component information of the vehicle components, and generate reminder information according to the reminder policy and the component information.
An abnormal behavior detection device, characterized in that the abnormal behavior detection device includes: a memory, a processor, and an abnormal behavior detection program stored on the memory and operable on the processor, the abnormal behavior detection When the program is executed by the processor, the abnormal behavior detection method according to any one of claims 1 to 12 is realized.
A storage medium, characterized in that an abnormal behavior detection program is stored on the storage medium, and when the abnormal behavior detection program is executed by a processor, the abnormal behavior detection method according to any one of claims 1 to 12 is realized .
An abnormal behavior detection device, characterized in that the abnormal behavior detection device includes: an information acquisition module, a state matching module and a behavior detection module;

The information acquisition module is configured to acquire state change information of the vehicle component when a change in the state of the vehicle component is detected;

The state matching module is used to match the state change information with the state chain corresponding to the vehicle component, and the state chain is used to represent the state association relationship between each vehicle component;

The behavior detection module is configured to determine whether the vehicle component has abnormal behavior according to the matching result.
The abnormal behavior detection device according to claim 15, wherein the state matching module is further configured to determine an associated component associated with the vehicle component according to the state chain corresponding to the vehicle component;

The state matching module is further configured to determine association change information corresponding to the association component according to the state change information and the state chain;

The state matching module is further configured to obtain actual change information of the associated component, and match the actual change information with the associated change information.
The abnormal behavior detection device according to claim 16, wherein the state matching module is also used to acquire the position information of the vehicle components in the corresponding state chain;

The state matching module is further configured to determine an associated component associated with the vehicle component according to the location information.
The abnormal behavior detection device according to claim 16, wherein the state matching module is further configured to determine the standard state change of the associated component according to the state change information and the state chain;

The state matching module is further configured to determine the standard change order of the associated components according to the vehicle components and the state chain;

The state matching module is further configured to generate association change information corresponding to the association components according to the standard state change and the standard change sequence.
The abnormal behavior detection device according to claim 16, wherein the state matching module is further configured to acquire the actual change information of the associated components, and extract the state change order and actual state from the actual change information Variety;

The state matching module is further configured to extract standard change order and standard state change from the associated change information;

The state matching module is further configured to match the state change sequence with the standard change sequence;

The state matching module is further configured to match the actual state change with the standard state change.
The abnormal behavior detection device according to any one of claims 15 to 19, wherein the behavior detection module is also used to obtain control instructions corresponding to the vehicle components;

The behavior detection module is further configured to determine whether there is an abnormal behavior of the vehicle component according to the matching result and the control instruction.