CN116279197A - Abnormal behavior detection method, device, storage medium and apparatus - Google Patents
Abnormal behavior detection method, device, storage medium and apparatus Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
- B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/02—Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention relates to the technical field of Internet of vehicles, and discloses an abnormal behavior detection method, equipment, a storage medium and a device, wherein the method comprises the following steps: when the state of the vehicle part is detected to be changed, state change information of the vehicle part is obtained, the state change information is matched with a state chain corresponding to the vehicle part, the state chain is used for representing the state association relation among the vehicle parts, and whether the vehicle part has abnormal behaviors or not is determined according to the matching result; according to the invention, whether the abnormal behavior exists in the vehicle part is judged by matching the state change information of the vehicle part with the state chain corresponding to the vehicle part, so that the abnormal detection of the vehicle can be automatically analyzed, and the speed and accuracy of the abnormal behavior detection are improved.
Description
Technical Field
The invention relates to the technical field of internet of vehicles, in particular to a method, equipment, a storage medium and a device for detecting abnormal behaviors.
Background
At present, the Internet of vehicles is increasingly applied to the field of automobiles, and abnormal behavior detection belongs to a part of important Internet of vehicles. In the prior art, abnormal behavior detection of a vehicle is usually performed by manually analyzing data, so that time and labor are wasted, and the accuracy is low.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide an abnormal behavior detection method, equipment, a storage medium and a device, and aims to solve the technical problems that in the prior art, data are usually analyzed manually in abnormal behavior detection of a vehicle, time and labor are wasted, and accuracy is low.
In order to achieve the above object, the present invention provides an abnormal behavior detection method including the steps of:
acquiring state change information of a vehicle component when detecting that the state of the vehicle component is changed;
matching the state change information with a state chain corresponding to the vehicle component, wherein the state chain is used for representing a state association relation among the vehicle components;
and determining whether abnormal behaviors exist in the vehicle component according to the matching result.
Optionally, the step of matching the state change information with a state chain corresponding to the vehicle component includes:
determining an associated part associated with the vehicle part according to a state chain corresponding to the vehicle part;
determining association change information corresponding to the association component according to the state change information and the state chain;
And acquiring actual change information of the association component, and matching the actual change information with the association 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:
acquiring position information of the vehicle component in a corresponding state chain;
and determining an association component associated with the vehicle component according to the position 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 standard state changes of the associated components according to the state change information and the state chain;
determining a standard change order of the associated component from the vehicle component and the state chain;
and generating association change information corresponding to the association component according to the standard state change and the standard change sequence.
Optionally, the step of acquiring the actual change information of the association component and matching the actual change information with the association 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 standard change sequence and standard state change from the association change information;
matching the state change sequence with the standard change sequence;
and matching the actual state change with the standard state change.
Optionally, the step of determining whether the vehicle component has abnormal behavior according to the matching result includes:
acquiring a control instruction corresponding to the vehicle component;
and determining whether abnormal behaviors exist in the vehicle component according to the matching result and the control instruction.
Optionally, the step of determining whether the vehicle component has abnormal behavior 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 or not;
and determining whether the abnormal behavior of the vehicle component exists according to the matching result and the judging result.
Optionally, before the step of matching the state change information with the state chain corresponding to the vehicle component, the method further includes:
acquiring an operation scene of the vehicle component;
and determining a state chain corresponding to the vehicle component according to the operation scene.
Optionally, before the step of acquiring the state change information of the vehicle component when the state of the vehicle component is detected to be changed, the method further includes:
Acquiring state data of a vehicle component;
detecting whether a change in the state of the vehicle component occurs based on the state data.
Optionally, the step of acquiring status data of the vehicle component includes:
acquiring operation data of a vehicle component;
and preprocessing the operation data to obtain the state data of the vehicle component.
Optionally, after the step of determining whether the vehicle component has abnormal behavior according to the matching result, the method further includes:
generating reminding information when abnormal behaviors exist in the vehicle part;
and sending the reminding information to a management terminal so that the management terminal reminds a user.
Optionally, the step of generating the reminding information when the abnormal behavior of the vehicle component exists includes:
determining a reminding strategy according to the component category of the vehicle component when the abnormal behavior of the vehicle component exists;
and acquiring the component information of the vehicle component, and generating reminding information according to the reminding strategy and the component information.
In addition, in order to achieve the above object, the present invention also proposes an abnormal behavior detection apparatus including a memory, a processor, and an abnormal behavior detection program stored on the memory and executable on the processor, the abnormal behavior detection program being configured to implement the abnormal behavior detection method as described above.
In addition, in order to achieve the above object, the present invention also proposes a storage medium having stored thereon an abnormal behavior detection program which, when executed by a processor, implements the abnormal behavior detection method as described above.
In addition, in order to achieve the above object, the present invention also proposes an abnormal behavior detection apparatus including: the system comprises an information acquisition module, a state matching module and a behavior detection module;
the information acquisition module is used for acquiring state change information of the vehicle component when detecting that the state of the vehicle component is changed;
the state matching module is used for matching the state change information with a state chain corresponding to the vehicle component, and the state chain is used for representing the state association relation among the vehicle components;
the behavior detection module is used for determining whether abnormal behaviors exist in the vehicle component 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 a state chain corresponding to the vehicle component;
the state matching module is further used for determining 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 association component, and match the actual change information with the association change information.
Optionally, the state matching module is further configured to obtain position information of the vehicle component in a corresponding state chain;
the state matching module is further used for determining an association component associated with the vehicle component according to the position 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 used for determining a standard change sequence of the associated component according to the vehicle component and the state chain;
the state matching module is further used for generating association change information corresponding to the association component 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 a state change sequence and an actual state change from the actual change information;
the state matching module is also used for extracting a standard change sequence and standard state change from the associated change information;
The state matching module is further used for matching 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 further configured to obtain a control instruction corresponding to the vehicle component;
the behavior detection module is further used for determining whether abnormal behaviors exist in the vehicle component according to the matching result and the control instruction.
When detecting that the state of a vehicle part is changed, 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 the state association relation among the vehicle parts, and determining whether the vehicle part has abnormal behaviors according to a matching result; according to the invention, whether the abnormal behavior exists in the vehicle part is judged by matching the state change information of the vehicle part with the state chain corresponding to the vehicle part, so that the abnormal detection of the vehicle can be automatically analyzed, and the speed and accuracy of the abnormal behavior detection are improved.
Drawings
FIG. 1 is a schematic diagram of a hardware running environment abnormal behavior detection device according to an embodiment of the present invention;
FIG. 2 is a flowchart of a first embodiment of an abnormal behavior detection method according to the present invention;
FIG. 3 is a flowchart illustrating a method for detecting abnormal behavior according to a second embodiment of the present invention;
FIG. 4 is a flowchart illustrating a third embodiment of an abnormal behavior detection method according to the present invention;
FIG. 5 is a flowchart of a fourth embodiment of the abnormal behavior detection method according to the present invention;
fig. 6 is a block diagram showing the structure of a first embodiment of the abnormal behavior detection apparatus according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an abnormal behavior detection device in a hardware running environment according to an embodiment of the present invention.
As shown in fig. 1, the abnormal behavior detection apparatus 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, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display (Display), and the optional user interface 1003 may also include a standard wired interface, a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., 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 (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the abnormal behavior detection apparatus, and may include more or fewer components than shown, or may combine certain components, or may be a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and an abnormal behavior detection program may be included in a memory 1005, which is considered to be one type of computer storage medium.
In the abnormal behavior detection apparatus shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server, and performing data communication with the background server; the user interface 1003 is mainly used for connecting user equipment; the abnormal behavior detection apparatus calls an abnormal behavior detection program stored in the memory 1005 through the processor 1001 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 presented.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of an abnormal behavior detection method according to the present invention.
In a first embodiment, the abnormal behavior detection method includes the steps of:
Step S10: and when detecting that the state of the vehicle part is changed, acquiring state change information of the vehicle part.
It should be understood that the execution body of the method of the present embodiment may be an abnormal behavior detection device having functions of data processing, network communication, and program running, for example, a vehicle-mounted computer, a server, or other electronic devices capable of implementing the same or similar functions, which is not limited in this embodiment.
The vehicle components may include a door, a steering wheel, and a throttle.
The state change information may be information of a change of the vehicle component from one state to another. For example, the state change information may be information of the state of the door from open to closed.
It is understood that the obtaining of 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. The detection period may be set in advance, for example, the detection period may be set to 1S.
Step S20: and matching the state change information with a state chain corresponding to the vehicle component, wherein the state chain is used for representing the state association relation among the vehicle components.
The state chain is used to represent a state association relationship when each vehicle component is operating normally. For example, the state chain may be the states of the components S1, S2, S3 sequentially from off to on.
It should be understood that the matching of the state change information with the state chain corresponding to the vehicle component may be determining the associated component associated with the vehicle component according to the state chain corresponding to the vehicle component, determining the associated change information corresponding to the associated component according to the state change information and the state chain, acquiring the actual change information of the associated component, and matching the actual change information with the associated change information.
The association member may be a member associated with a vehicle member existing state. For example, when the state chain is the state of the components S1, S2, S3 sequentially changes and the vehicle component is S2, the components associated with the presence state of the vehicle component are S1 and S3.
In a specific implementation, for example, when the state chain is from off to on in order of the states of the components S1, S2, S3, and the vehicle component is S2, the associated components are S1 and S3, and when the state change information of S2 is from on to off, the associated change information corresponding to the associated components is S1 from off to on, and S3 from off to on.
It can be understood that the matching of the actual change information and the associated change information may be that when the actual change information is from on to off and the associated change information is from off to on, it is determined that the matching of the actual change information and the associated change information fails; and when the actual change information is closed to open and the associated change information is closed to open, judging that the actual change information and the associated change information are successfully matched.
Step S30: and determining whether abnormal behaviors exist in the vehicle component according to the matching result.
It should be understood that when the matching result is that the matching fails, the state change of the associated component is different from the state chain, the vehicle component is not changed along with the change of the associated component, and the abnormal behavior of the vehicle component can be determined; when the matching result is successful, the state change of the associated component is the same as the state chain, the vehicle component changes along with the change of the associated component, and the vehicle component can be judged to have no abnormal behavior.
In a first embodiment, it is disclosed that when a change of a state of a vehicle component is detected, state change information of the vehicle component is acquired, the state change information is matched with a state chain corresponding to the vehicle component, the state chain is used for representing a state association relationship between the vehicle components, and whether abnormal behaviors exist in the vehicle component is determined according to a matching result; in the embodiment, whether the abnormal behavior exists in the vehicle component is judged by matching the state change information of the vehicle component with the state chain corresponding to the vehicle component, so that the abnormal behavior detection of the vehicle can be automatically analyzed, and the speed and the accuracy of the abnormal behavior detection are improved.
Referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of the abnormal behavior detection method according to the present invention, and the second embodiment of the abnormal behavior detection method according to the present invention is proposed based on the first embodiment shown in fig. 2.
In a second embodiment, the step S20 includes:
step S201: and determining the associated part associated with the vehicle part according to the state chain corresponding to the vehicle part.
The association member may be a member associated with a vehicle member existing state. For example, when the state chain is the states of the components S1, S2, and S3 sequentially from off to on and the vehicle component is S2, the components associated with the vehicle component presence state are S1 and S3.
It should be appreciated that determining the associated component associated with the vehicle component based on 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 based on the analysis.
Step S202: and determining association change information corresponding to the association component according to the state change information and the state chain.
In a specific implementation, for example, when the state chain is from off to on in order of the states of the components S1, S2, S3, and the vehicle component is S2, the associated components are S1 and S3, and when the state change information of S2 is from on to off, the associated change information corresponding to the associated components is S1 from off to on, and S3 from off to on.
Step S203: and acquiring actual change information of the association component, and matching the actual change information with the association change information.
The actual change information may be information about a change in the state of the associated component in reality.
It can be understood that the matching of the actual change information and the associated change information may be that when the actual change information is from on to off and the associated change information is from off to on, it is determined that the matching of the actual change information and the associated change information fails; and when the actual change information is closed to open and the associated change information is closed to open, judging that the actual change information and the associated change information are successfully matched.
In the second embodiment, it is disclosed that the association part associated with the vehicle part is determined according to the state chain corresponding to the vehicle part, the association change information corresponding to the association part is determined according to the state change information and the state chain, the actual change information of the association part is obtained, and the actual change information is matched with the association change information, so that the matching reliability can be improved.
In a second embodiment, the step S30 includes:
step S301: and acquiring a control instruction corresponding to the vehicle component.
It should be appreciated that in practical applications, there are also situations where a user directly controls a vehicle component. In order to avoid misjudgment, in this embodiment, a control instruction corresponding to the vehicle component is also acquired, and whether the vehicle component has abnormal behavior is determined according to the matching result and the control instruction.
It should be noted that, the control instruction may be issued by the user through the vehicle-mounted system, or may be issued by the user through the user terminal. The user terminal can be a mobile phone, a bracelet and other devices.
Step S302: and determining whether abnormal behaviors exist in the vehicle component according to the matching result and the control instruction.
It is understood that determining whether the abnormal behavior exists in the vehicle component according to the matching result and the control command may be determining the target component according to the control command, determining whether the vehicle component is the target component, and determining whether the abnormal behavior exists in the vehicle component according to the matching result and the determination result.
It should be understood that, determining whether the abnormal behavior exists in the vehicle component according to the matching result and the judging result may be to judge that the abnormal behavior exists in the vehicle component when the matching result is that the matching fails and the vehicle component is not the target component; and when the matching result is that the matching fails, judging that the vehicle part does not have abnormal behaviors.
In a second embodiment, it is disclosed to acquire a control instruction corresponding to a vehicle component, and determine whether an abnormal behavior exists in the vehicle component according to a matching result and the control instruction; the embodiment can further verify the influence of the control instruction on the vehicle part, thereby avoiding erroneous judgment and improving the accuracy of abnormal behavior detection.
Referring to fig. 4, fig. 4 is a flowchart illustrating a third embodiment of the abnormal behavior detection method according to the present invention, and the third embodiment of the abnormal behavior detection method according to the present invention is proposed based on the second embodiment shown in fig. 3.
In a third embodiment, the step S201 includes:
step S2011: and acquiring the position information of the vehicle component in the corresponding state chain.
It should be appreciated that analyzing the state chains for the vehicle components one by one is time consuming and labor intensive and is slow to process. Therefore, in order to overcome the above-mentioned drawbacks, in the present embodiment, the position information of the vehicle component in the corresponding state chain is acquired first, and then the associated component associated with the vehicle component is determined according to the position information.
The position information may be a position of the vehicle component in the state chain.
Step S2012: and determining an association component associated with the vehicle component according to the position information.
It is understood that determining an associated component associated with a vehicle component based on the location information may be determining a component adjacent to the vehicle component in the state chain based on the location information and treating the component as an associated component associated with the vehicle component.
In a specific implementation, for example, when the state chain is that the states of the components S1, S2 and S3 are sequentially turned from off to on and the vehicle component is S2, the position information of the vehicle component in the corresponding state chain is located between S1 and S3, and then the associated component associated with the vehicle component may be determined to be S1 and S3 according to the position information.
In a third embodiment, it is disclosed to obtain position information of a vehicle component in a corresponding state chain, and determine an associated component associated with the vehicle component according to the position information; in the embodiment, the related components are determined directly based on the position information of the vehicle components in the corresponding state chain, so that the determination speed of the key components is improved, and the overall speed of abnormal behavior detection is further improved.
In a third embodiment, the step S202 includes:
step S2021: and determining 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 the associated component during normal operation.
In a specific implementation, for example, when the state chain is from off to on in order of the states of the components S1, S2, S3, and the vehicle component is S2, the associated components are S1 and S3, and when the state change information of S2 is from on to off, the quasi state change corresponding to the associated components is S1 from off to on, and S3 from off to on.
Step S2022: a standard change order of the associated component is determined from the vehicle component and the state chain.
The standard change order may be a state change order of each associated component during normal operation.
In a specific implementation, for example, when the state chain is from off to on in the states of the components S1, S2, S3, and the vehicle component is S2, the related components are S1 and S3, and the standard change sequence is from off to on at first S1, from off to on at second S2, and from off to on at last S3.
Step S2023: and generating association change information corresponding to the association component according to the standard state change and the standard change sequence.
It should be understood that the generation of the association change information corresponding to the association part according to the standard state change and the standard change order may be the generation of the association change information corresponding to the association part by using the standard state change and the standard change order as the association change information corresponding to the association part.
In a third embodiment, it is disclosed that a standard state change of an associated component is determined according to state change information and a state chain, a standard change order of the associated component is determined according to a vehicle component and the state chain, and associated change information corresponding to the associated component is generated according to the standard state change and the standard change order; the standard change sequence of the association component is additionally introduced to generate the association change information, so that the reliability of the association change information is improved, and the accuracy of abnormal behavior detection is further ensured.
In a third embodiment, the step S203 includes:
step S2031: and acquiring actual change information of the associated component, and extracting a state change sequence and an actual state change from the actual change information.
The actual change information may be information about a change in the state of the associated component in reality.
It should be understood that extracting the state change order and the actual state change from the actual change information may be extracting the state change order and the actual state change from the actual change information according to the information identification. Wherein the information identity is used to represent the information content.
Step S2032: and extracting a standard change sequence and standard state change from the association change information.
It will be appreciated that the extraction of the standard change order and standard state change from the associated change information may also be based on the information identification.
Step S2033: and matching the state change sequence with the standard change sequence.
It should be understood that in practical applications, in addition to the state change abnormality, there is a case where the state change order is abnormal. For example, when the state chain is the components S1, S2, S3 and the vehicle component S2 are sequentially turned on from off, the related components S1 and S3 are sequentially turned off to on, the standard change sequence is S1, then S2 is turned off to on, and finally S3 is turned off to on. If the state change order is different from the standard change order, the state change order of the associated component is specified to be abnormal. Therefore, in the present embodiment, the state change order is also matched with the standard change order.
Step S2034: and matching 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 to determine that the actual change information fails to match with the standard state change when the actual change information is from on to off and the standard state change is from off to on; and when the actual change information is closed to open and the standard state change is closed to open, judging that the actual change information and the associated change information are successfully matched.
In a third embodiment, it is disclosed to acquire actual change information of the associated component, extract a state change order and an actual state change from the actual change information, extract a standard change order and a standard state change from the associated change information, match the state change order with the standard change order, and match the actual state change with the standard state change; the embodiment also matches the state change sequence during matching, thereby further improving the accuracy of abnormal behavior detection.
Referring to fig. 5, fig. 5 is a flowchart illustrating a fourth embodiment of the abnormal behavior detection method according to the present invention, and the fourth embodiment of the abnormal behavior detection method according to the present invention is proposed based on the first embodiment shown in fig. 2.
In a fourth embodiment, before the step S10, the method further includes:
step S01: status data of a vehicle component is acquired.
It should be understood that in order to determine whether the state of the vehicle component is changed, in this embodiment, the state data of the vehicle component may be acquired, and whether the state of the vehicle component is changed may be detected based on the state data.
The state data may include data such as component operation time and component operation parameters.
It will be appreciated that the acquisition of the status data of the vehicle component may be by acquiring status data uploaded by each sensor via a preset communication scheme. The preset communication mode may be preset, for example, CAN bus communication is set to be a preset communication mode, and each sensor may be pre-installed on a vehicle component and used for detecting data of the vehicle component in real time.
Further, it is difficult to directly acquire status data. Therefore, in order to increase the data acquisition speed, the step S10 includes:
acquiring operation data of a vehicle component;
and preprocessing the operation data to obtain the state data of the vehicle component.
The operation data may be data generated during operation of the vehicle component.
It should be appreciated that preprocessing the operational data to obtain the status data of the vehicle component may be filtering the operational data to remove the disturbance data to obtain the status data of the vehicle component.
Step S02: detecting whether a change in the state of the vehicle component occurs based on the state data.
It should be understood that detecting whether the state of the vehicle component has changed based on the state data may be to compare the state data with the state data of the previous detection period and detect whether the state of the vehicle component has changed based on the comparison result. Wherein, the detection period can be preset.
It is understood that detecting whether the state of the vehicle component is changed according to the result may be determining that the state of the vehicle component is changed when the comparison result is that the state data is different from the state data of the previous detection period; and when the comparison result is that the state data is the same as the state data of the previous detection period, determining that the state of the vehicle component is unchanged.
In the fourth embodiment, it is disclosed that the state data of the vehicle component is acquired, and whether the state of the vehicle component is changed is detected based on the state data, so that the reliability of the state detection can be ensured.
In a fourth embodiment, before the step S20, the method further includes:
step S110: and acquiring the running scene of the vehicle component.
It should be appreciated that in actual practice, the state chain for the vehicle component is 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 operation scene of the vehicle component is acquired first, and then the state chain corresponding to the vehicle component is determined according to the operation scene.
It should be noted that the operation scene may be a parking scene, a driving scene, a reversing scene, and the like.
Step S120: and determining a state chain corresponding to the vehicle component according to the operation scene.
It may be appreciated that determining the state chain corresponding to the vehicle component according to the operation scenario may be searching for the state chain corresponding to the operation scenario in a preset state table. The preset state table contains a corresponding relation between an operation scene and a state chain, and the corresponding relation between the operation scene and the state chain can be preset.
In a fourth embodiment, acquiring an operation scene of a vehicle component, and determining a state chain corresponding to the vehicle component according to the operation scene; the embodiment can adopt different state chains according to different actual conditions, so that the reliability of the state chains is ensured.
In a fourth embodiment, after the step S30, the method further includes:
step S40: and generating reminding information when the abnormal behavior of the vehicle part exists.
It should be understood that, in order to prompt the user that the vehicle component has abnormal behavior in time, in this embodiment, when the vehicle component has abnormal behavior, the prompt information is generated and sent to the management terminal, so that the management terminal prompts the user.
Note that the reminding information may be preset, for example, "abnormal vehicle exists" is used as the reminding information.
Further, in order to make the reminding information more conform to the actual requirement of the user, the step S40 includes:
Determining a reminding strategy according to the component category of the vehicle component when the abnormal behavior of the vehicle component exists;
and acquiring the component information of the vehicle component, and generating reminding information according to the reminding strategy and the component information.
It should be noted that the reminding policy may include a voice reminding, a text reminding, a lamplight reminding, and other policies.
It may be appreciated that determining the alert policy according to the component category of the vehicle component may be searching for the alert policy corresponding to the component category in a preset policy table. The preset policy table includes a corresponding relationship between a component class and a reminding policy, and the corresponding relationship between the component class and the reminding policy can be preset. For example, the corresponding alert policy for the door may be a voice alert.
The component information may include information such as a component name and a component position.
Step S50: and sending the reminding information to a management terminal so that the management terminal reminds a user.
It should be understood that the sending of 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 can be preset.
In a fourth embodiment, it is disclosed that when there is an abnormal behavior of a vehicle component, a reminder is generated, and the reminder is sent to a management terminal, so that the management terminal reminds a user; the embodiment reminds the user when the vehicle part is abnormal, so that the user experience is improved.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium is stored with an abnormal behavior detection program, and the abnormal behavior detection program realizes the abnormal behavior detection method when being executed by a processor.
In addition, referring to fig. 6, an embodiment of the present invention further proposes an abnormal behavior detection apparatus, including: 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 a vehicle component when a state change of the vehicle component is detected.
The vehicle components may include a door, a steering wheel, and a throttle.
The state change information may be information of a change of the vehicle component from one state to another. For example, the state change information may be information of the state of the door from open to closed.
It is understood that the obtaining of 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. The detection period may be set in advance, for example, the detection period may be set to 1S.
The state matching module 20 is configured to match the state change information with a state chain corresponding to the vehicle component, where the state chain is used to represent a state association relationship between each vehicle component.
The state chain is used to represent a state association relationship when each vehicle component is operating normally. For example, the state chain may be the states of the components S1, S2, S3 sequentially from off to on.
It should be understood that the matching of the state change information with the state chain corresponding to the vehicle component may be determining the associated component associated with the vehicle component according to the state chain corresponding to the vehicle component, determining the associated change information corresponding to the associated component according to the state change information and the state chain, acquiring the actual change information of the associated component, and matching the actual change information with the associated change information.
The association member may be a member associated with a vehicle member existing state. For example, when the state chain is the state of the components S1, S2, S3 sequentially changes and the vehicle component is S2, the components associated with the presence state of the vehicle component are S1 and S3.
In a specific implementation, for example, when the state chain is from off to on in order of the states of the components S1, S2, S3, and the vehicle component is S2, the associated components are S1 and S3, and when the state change information of S2 is from on to off, the associated change information corresponding to the associated components is S1 from off to on, and S3 from off to on.
It can be understood that the matching of the actual change information and the associated change information may be that when the actual change information is from on to off and the associated change information is from off to on, it is determined that the matching of the actual change information and the associated change information fails; and when the actual change information is closed to open and the associated change information is closed to open, judging that the actual change information and the associated change information are successfully matched.
The behavior detection module 30 is configured to determine whether the vehicle component has abnormal behavior according to the matching result.
It should be understood that when the matching result is that the matching fails, the state change of the associated component is different from the state chain, the vehicle component is not changed along with the change of the associated component, and the abnormal behavior of the vehicle component can be determined; when the matching result is successful, the state change of the associated component is the same as the state chain, the vehicle component changes along with the change of the associated component, and the vehicle component can be judged to have no abnormal behavior.
In this embodiment, it is disclosed that when a change of a state of a vehicle component is detected, state change information of the vehicle component is obtained, the state change information is matched with a state chain corresponding to the vehicle component, the state chain is used for representing a state association relationship between the vehicle components, and whether an abnormal behavior exists in the vehicle component is determined according to a matching result; in the embodiment, whether the abnormal behavior exists in the vehicle component is judged by matching the state change information of the vehicle component with the state chain corresponding to the vehicle component, so that the abnormal behavior detection of the vehicle can be automatically analyzed, and the speed and the accuracy of the abnormal behavior detection are improved.
Other embodiments or specific implementation manners of the abnormal behavior detection apparatus of the present invention may refer to the above method embodiments, and are not described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the terms first, second, third, etc. do not denote any order, but rather the terms first, second, third, etc. are used to interpret the terms as names.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. read only memory mirror (Read Only Memory image, ROM)/random access memory (Random Access Memory, RAM), magnetic disk, optical disk), comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
The invention discloses an abnormal behavior detection method A1, which comprises the following steps:
acquiring state change information of a vehicle component when detecting that the state of the vehicle component is changed;
matching the state change information with a state chain corresponding to the vehicle component, wherein the state chain is used for representing a state association relation among the vehicle components;
and determining whether abnormal behaviors exist in the vehicle component according to the matching result.
A2, the abnormal behavior detection method according to A1, wherein the step of matching the state change information with a state chain corresponding to the vehicle component includes:
determining an associated part associated with the vehicle part according to a state chain corresponding to the vehicle part;
determining association change information corresponding to the association component according to the state change information and the state chain;
And acquiring actual change information of the association component, and matching the actual change information with the association change information.
A3, the abnormal behavior detection method according to A2, wherein the step of determining the associated component associated with the vehicle component according to the state chain corresponding to the vehicle component comprises the following steps:
acquiring position information of the vehicle component in a corresponding state chain;
and determining an association component associated with the vehicle component according to the position information.
A4, determining association change information corresponding to the association component according to the state change information and the state chain according to the abnormal behavior detection method as described in A2, wherein the method comprises the following steps:
determining standard state changes of the associated components according to the state change information and the state chain;
determining a standard change order of the associated component from the vehicle component and the state chain;
and generating association change information corresponding to the association component according to the standard state change and the standard change sequence.
A5, the abnormal behavior detection method according to A2, wherein the step of obtaining the actual change information of the associated component and matching the actual change information with the associated change information comprises the following steps:
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 standard change sequence and standard state change from the association change information;
matching the state change sequence with the standard change sequence;
and matching the actual state change with the standard state change.
A6, the abnormal behavior detection method according to any one of A1 to A5, the step of determining whether the abnormal behavior exists in the vehicle component according to the matching result, comprising:
acquiring a control instruction corresponding to the vehicle component;
and determining whether abnormal behaviors exist in the vehicle component according to the matching result and the control instruction.
A7, the abnormal behavior detection method according to A6, wherein the step of determining whether the abnormal behavior exists in the vehicle component according to the matching result and the control instruction comprises the following steps:
determining a target component according to the control instruction, and judging whether the vehicle component is the target component or not;
and determining whether the abnormal behavior of the vehicle component exists according to the matching result and the judging result.
A8, the abnormal behavior detection method according to any one of A1 to A5, before the step of matching the state change information with a state chain corresponding to the vehicle component, further comprising:
Acquiring an operation scene of the vehicle component;
and determining a state chain corresponding to the vehicle component according to the operation scene.
A9, the abnormal behavior detection method according to any one of A1 to A5, wherein, before the step of acquiring the state change information of the vehicle component when the state change of the vehicle component is detected, further comprises:
acquiring state data of a vehicle component;
detecting whether a change in the state of the vehicle component occurs based on the state data.
A10, the abnormal behavior detection method according to A9, wherein the step of acquiring the state data of the vehicle component comprises the steps of:
acquiring operation data of a vehicle component;
and preprocessing the operation data to obtain the state data of the vehicle component.
A11, the abnormal behavior detection method according to any one of A1 to A5, further comprising, after the step of determining whether the vehicle component has abnormal behavior according to the matching result:
generating reminding information when abnormal behaviors exist in the vehicle part;
and sending the reminding information to a management terminal so that the management terminal reminds a user.
A12, the abnormal behavior detection method according to A11, wherein the step of generating the reminding information when the abnormal behavior exists in the vehicle component comprises the following steps:
Determining a reminding strategy according to the component category of the vehicle component when the abnormal behavior of the vehicle component exists;
and acquiring the component information of the vehicle component, and generating reminding information according to the reminding strategy and the component information.
The invention also discloses B13, an abnormal behavior detection device, the abnormal behavior detection device comprises: the system comprises a memory, a processor and an abnormal behavior detection program stored on the memory and capable of running on the processor, wherein the abnormal behavior detection program realizes the abnormal behavior detection method when being executed by the processor.
The invention also discloses C14, a storage medium, the storage medium stores an abnormal behavior detection program, and the abnormal behavior detection program realizes the abnormal behavior detection method when being executed by a processor.
The invention also discloses a D15 and an abnormal behavior detection device, wherein the abnormal behavior detection device comprises: the system comprises an information acquisition module, a state matching module and a behavior detection module;
the information acquisition module is used for acquiring state change information of the vehicle component when detecting that the state of the vehicle component is changed;
The state matching module is used for matching the state change information with a state chain corresponding to the vehicle component, and the state chain is used for representing the state association relation among the vehicle components;
the behavior detection module is used for determining whether abnormal behaviors exist in the vehicle component according to the matching result.
D16, the abnormal behavior detection device according to D15, where the state matching module is further configured to determine an associated component associated with the vehicle component according to a state chain corresponding to the vehicle component;
the state matching module is further used for determining 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 association component, and match the actual change information with the association change information.
D17, the abnormal behavior detection device as described in D16, where the state matching module is further configured to obtain position information of the vehicle component in a corresponding state chain;
the state matching module is further used for determining an association component associated with the vehicle component according to the position information.
D18, the abnormal behavior detection device of D16, where 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 used for determining a standard change sequence of the associated component according to the vehicle component and the state chain;
the state matching module is further used for generating association change information corresponding to the association component according to the standard state change and the standard change sequence.
D19, the abnormal behavior detection device as described in D16, where the state matching module is further configured to obtain actual change information of the associated component, and extract a state change sequence and an actual state change from the actual change information;
the state matching module is also used for extracting a standard change sequence and standard state change from the associated change information;
the state matching module is further used for matching 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.
D20, the abnormal behavior detection device of any one of D15 to D19, where the behavior detection module is further configured to obtain a control instruction corresponding to the vehicle component;
The behavior detection module is further used for determining whether abnormal behaviors exist in the vehicle component according to the matching result and the control instruction.
Claims (10)
1. An abnormal behavior detection method, characterized in that the abnormal behavior detection method comprises the following steps:
acquiring state change information of a vehicle component when detecting that the state of the vehicle component is changed;
matching the state change information with a state chain corresponding to the vehicle component, wherein the state chain is used for representing a state association relation among the vehicle components;
and determining whether abnormal behaviors exist in the vehicle component according to the matching result.
2. The abnormal behavior detection method according to claim 1, wherein the step of matching the state change information with a state chain corresponding to the vehicle component includes:
determining an associated part associated with the vehicle part according to a state chain corresponding to the vehicle part;
determining association change information corresponding to the association component according to the state change information and the state chain;
and acquiring actual change information of the association component, and matching the actual change information with the association change information.
3. The abnormal behavior detection method according to claim 2, wherein the step of determining an associated component associated with the vehicle component from a state chain corresponding to the vehicle component includes:
acquiring position information of the vehicle component in a corresponding state chain;
and determining an association component associated with the vehicle component according to the position information.
4. The abnormal behavior detection method according to claim 2, wherein the step of determining association change information corresponding to the association part from the state change information and the state chain includes:
determining standard state changes of the associated components according to the state change information and the state chain;
determining a standard change order of the associated component from the vehicle component and the state chain;
and generating association change information corresponding to the association component according to the standard state change and the standard change sequence.
5. The abnormal behavior detection method according to claim 2, wherein the step of acquiring actual change information of the associated part 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 standard change sequence and standard state change from the association change information;
matching the state change sequence with the standard change sequence;
and matching the actual state change with the standard state change.
6. The abnormal behavior detection method according to any one of claims 1 to 5, wherein the step of determining whether the abnormal behavior exists in the vehicle component according to the matching result includes:
acquiring a control instruction corresponding to the vehicle component;
and determining whether abnormal behaviors exist in the vehicle component according to the matching result and the control instruction.
7. The abnormal behavior detection method according to claim 6, wherein the step of determining whether the abnormal behavior exists in the vehicle component based on 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 or not;
and determining whether the abnormal behavior of the vehicle component exists according to the matching result and the judging result.
8. An abnormal behavior detection apparatus, characterized in that the abnormal behavior detection apparatus comprises: a memory, a processor, and an abnormal behavior detection program stored on the memory and executable on the processor, which when executed by the processor, implements the abnormal behavior detection method according to any one of claims 1 to 7.
9. A storage medium having stored thereon an abnormal behavior detection program which, when executed by a processor, implements the abnormal behavior detection method according to any one of claims 1 to 7.
10. An abnormal behavior detection apparatus, characterized in that the abnormal behavior detection apparatus comprises: the system comprises an information acquisition module, a state matching module and a behavior detection module;
the information acquisition module is used for acquiring state change information of the vehicle component when detecting that the state of the vehicle component is changed;
the state matching module is used for matching the state change information with a state chain corresponding to the vehicle component, and the state chain is used for representing the state association relation among the vehicle components;
The behavior detection module is used for determining whether abnormal behaviors exist in the vehicle component according to the matching result.
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| CN202111502300.6A CN116279197A (en) | 2021-12-08 | 2021-12-08 | Abnormal behavior detection method, device, storage medium and apparatus |
| PCT/CN2021/143646 WO2023103131A1 (en) | 2021-12-08 | 2021-12-31 | Method and device for detecting abnormal behavior, and storage medium and apparatus |
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| US7590476B2 (en) * | 2006-09-07 | 2009-09-15 | Delphi Technologies, Inc. | Vehicle diagnosis system and method |
| DE102018211844A1 (en) * | 2018-07-17 | 2020-01-23 | Infineon Technologies Ag | Electronic anomaly detection unit for use in a vehicle and method for detecting an anomaly in a component of a vehicle |
| CN112009494B (en) * | 2019-05-30 | 2022-12-27 | 华为技术有限公司 | Vehicle abnormity processing method and device, control equipment and storage medium |
| CN112172991B (en) * | 2020-09-18 | 2022-08-26 | 苏州三六零智能安全科技有限公司 | Balance car fault positioning method, equipment, storage medium and device |
| CN113619509B (en) * | 2021-09-17 | 2024-05-03 | 中国第一汽车股份有限公司 | Vehicle fault alarm method and device, vehicle and storage medium |
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