CN114997801A - Vehicle abnormity monitoring method and device and server - Google Patents
Vehicle abnormity monitoring method and device and server Download PDFInfo
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Abstract
The invention provides a vehicle abnormity monitoring method, which relates to the technical field of flow direction monitoring and comprises the following steps: acquiring vehicle state information of a vehicle to be monitored; the vehicle state information comprises one or more of positioning information, attitude information, load information and braking information; determining a target event corresponding to a vehicle to be monitored from a plurality of pre-configured candidate events according to the vehicle state information; and determining an abnormal detection result of the vehicle to be monitored according to the target event. According to the invention, by acquiring the variable quantity of the multi-dimensional data and determining the corresponding target event according to the multi-dimensional data, various behaviors of the vehicle in the transportation process can be reduced, so that the accuracy of abnormal capture is improved.
Description
Technical Field
The invention relates to the technical field of flow direction monitoring, in particular to a vehicle abnormity monitoring method, a vehicle abnormity monitoring device and a server.
Background
The vehicle abnormity monitoring refers to monitoring the abnormal flow direction of the vehicle or the abnormal flow direction of the goods in the process of goods transportation. At present, the correlation technique provides, can be through carrying out the flow direction monitoring to the vehicle real-time location, and this scheme can only monitor the vehicle flow direction, can't monitor the flow direction of goods, if increase the flow direction that video monitoring function can monitor the goods in the cargo hold part, nevertheless need upload and store a large amount of video data, and monitoring cost is higher, and can't confirm the abnormal time point in location.
Disclosure of Invention
In view of this, the present invention provides a vehicle anomaly monitoring method, device and server, which can restore various behaviors of a vehicle during transportation by collecting variation of multidimensional data and determining a corresponding target event according to the multidimensional data, so as to improve accuracy of anomaly capture.
In a first aspect, an embodiment of the present invention provides a vehicle abnormality monitoring method, including: acquiring vehicle state information of a vehicle to be monitored; the vehicle state information comprises one or more of positioning information, attitude information, load information and braking information; determining a target event corresponding to a vehicle to be monitored from a plurality of pre-configured candidate events according to the vehicle state information; and determining an abnormal detection result of the vehicle to be monitored according to the target event.
In one embodiment, before the step of determining a target event corresponding to a vehicle to be monitored from a plurality of candidate event categories configured in advance according to vehicle state information, the method comprises the following steps: acquiring a fence range of a pre-configured electronic fence; if the vehicle to be monitored is determined to be matched with the interior of the electronic fence according to the positioning information and the fence range, and the time length of the interior matching is longer than a preset time threshold, determining that the vehicle to be monitored drives into the electronic fence; or if the vehicle to be monitored is determined to be matched with the outside of the electronic fence according to the positioning information and the fence range, and the external matching time length is longer than a preset time threshold value, determining that the vehicle to be monitored is driven out of the electronic fence.
In one embodiment, the target event includes a cargo handling event, the attitude information includes vehicle speed data, and the step of determining the target event corresponding to the vehicle to be monitored from a plurality of candidate events configured in advance according to the vehicle state information includes: and under the condition that the vehicle to be monitored is determined to drive into the electronic fence, when the vehicle speed data is smaller than a preset speed threshold value and the braking information represents that a hand brake is started, determining that a target event corresponding to the vehicle to be monitored is a cargo handling event.
In one embodiment, the step of determining an anomaly detection result of the vehicle to be monitored according to the target event comprises: controlling the suspension bearing equipment to start, and acquiring weight data of the vehicle to be monitored, which is acquired by the suspension bearing equipment; calculating the unit variation of the weight according to the weight data and the data acquisition time corresponding to the weight data; and if the weight unit variation is larger than the preset weight threshold, determining that the abnormal monitoring result of the vehicle to be monitored is abnormal cargo handling.
In one embodiment, the target event comprises a gesture determination event, and the gesture data further comprises a plurality of gesture sub-data; the step of determining an anomaly detection result of the vehicle to be monitored according to the target event comprises the following steps: and for each attitude subdata, if the attitude subdata is larger than the data threshold corresponding to the attitude subdata, determining that the abnormal monitoring result of the vehicle to be monitored is abnormal vehicle attitude.
In one embodiment, the method further comprises: and sending the abnormal monitoring result to the appointed associated terminal so that the appointed associated terminal executes alarm operation aiming at the abnormal monitoring result.
In a second aspect, an embodiment of the present invention further provides a vehicle abnormality monitoring apparatus, including: the information acquisition module is used for acquiring vehicle state information of a vehicle to be monitored; the vehicle state information comprises one or more of positioning information, attitude information, load information and braking information; the target event determining module is used for determining a target event corresponding to the vehicle to be monitored from a plurality of preset candidate events according to the vehicle state information; and the abnormality detection module is used for determining an abnormality detection result of the vehicle to be monitored according to the target event.
In a third aspect, an embodiment of the present invention further provides a server, including a processor and a memory, where the memory stores computer-executable instructions capable of being executed by the processor, and the processor executes the computer-executable instructions to implement any one of the methods provided in the first aspect.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement any one of the methods provided in the first aspect.
The embodiment of the invention brings the following beneficial effects:
according to the vehicle abnormity monitoring method, device and server provided by the embodiment of the invention, after the vehicle state information of the vehicle to be monitored is obtained, the target event corresponding to the vehicle to be monitored is determined from a plurality of preset candidate events according to the vehicle state information, so that the abnormity detection result of the vehicle to be monitored is determined according to the target event. When the method is used for monitoring the vehicle abnormity, the corresponding target event is determined according to the multidimensional data, so that various behaviors of the vehicle in the transportation process are truly restored, the vehicle abnormity detection result is simply and quickly obtained, compared with the prior art, the flow direction monitoring is carried out by positioning the vehicle in real time, and the cargo flow direction is monitored by adding a video monitoring function to the cargo hold part, the embodiment of the invention can restore the various behaviors of the vehicle in the transportation process by acquiring the variable quantity of the multidimensional data and determining the corresponding target event according to the multidimensional data, so that the abnormity capturing accuracy is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of a vehicle abnormality detection system according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a method for detecting vehicle anomalies according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart of another vehicle abnormality detection method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a vehicle abnormality detection apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the embodiments, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, two common technical means are generally adopted for monitoring flow direction abnormity, one is to monitor the behavior track of a transport vehicle, and the flow direction is controlled by monitoring the positioning of the vehicle in real time, the monitoring method can only acquire data such as the mileage, the duration, the entering and exiting of an electronic fence and the like of the transport, and can monitor whether the vehicle goes through an illegal area or not, the actual flow direction of goods cannot be sensed, and the judgment cannot be made when the flow direction of the goods is inconsistent with the flow direction of the vehicle; the other is that the video monitoring function of the cargo compartment part is added on the basis of the positioning of the vehicle to carry out real-time video recording and photo taking, and through local or remote video playback, the state and change of the vehicle-mounted cargo in transportation can be observed, therefore, the states of the vehicles and the cargos are monitored, but the monitoring cost is high, the data of the video hard disk needs to be called on the vehicle-mounted terminal locally, a large amount of videos need to be uploaded remotely, extremely high flow cost is consumed, and the abnormal time point can not be accurately positioned, and the monitoring time is very long, therefore, the invention integrates the dynamic weighing technology on the basis of combining the vehicle positioning and video monitoring technology, by collecting the variable quantity of the multi-dimensional data and determining the corresponding target event according to the multi-dimensional data, the method can restore various behaviors of the vehicle in the transportation process, thereby improving the accuracy of abnormal capture.
To facilitate understanding of the embodiment, a schematic structural diagram of a vehicle anomaly detection system disclosed by the embodiment of the invention is described in detail, the vehicle anomaly detection system disclosed by the invention comprises various vehicle-mounted intelligent hardware, a data center brain and a client program, the hardware is responsible for collecting data of different dimensions, and comprises a video positioning terminal, a suspension weighing system, a vehicle attitude detector and the like, the data center brain performs corresponding calculation after obtaining various data, and can generate various event results, including fence entering and exiting events, cargo loading and unloading events, parking attitude judgment and stability events and the like, and visual early warning prompts are provided for users on the client program by combining with transportation tasks, including illegal loading, dangerous areas, parking risks and the like, as shown in fig. 1, the video positioning terminal can obtain video streams of various channels, namely V (com1) -V (com8), The system comprises a time axis F (T) and other data, longitude and latitude F (NS) and speed F (V) of a vehicle are obtained through a GSM/GPS, an ignition state F (ACC) and a hand brake state F (PB) of the vehicle are obtained through a hand brake detection module, a suspension weighing system can obtain real-time load F (W) and suspension variable F (AD) of the vehicle, a vehicle attitude detector can obtain a stability coefficient F (P) of the vehicle, multi-dimensional data such as tasks, positioning, videos, weighing and postures are sent to a data center brain and a client program in a combined mode to carry out data processing, various behaviors of the vehicle in the transportation process can be restored by collecting the variable of the multi-dimensional data and determining corresponding target events according to the multi-dimensional data, and accordingly accuracy of abnormal capturing is improved.
Based on the schematic structural diagram of a vehicle abnormality detection system shown in fig. 1, an embodiment of the present invention introduces a detailed description of a vehicle abnormality detection method, referring to a schematic flow diagram of a vehicle abnormality detection method shown in fig. 2, where the method mainly includes the following steps S202 to S206:
step S202, vehicle state information of the vehicle to be monitored is obtained. The vehicle state information comprises one or more of positioning information, attitude information, load information and braking information.
In one embodiment, vehicle Positioning information is acquired through a GSM (Global System For Mobile Communications) and/or GPS (Global Positioning System) antenna of the vehicle-mounted detection device, vehicle attitude information is acquired through a vehicle attitude detector, load information of the vehicle is acquired through a suspension weighing System, and braking information of the vehicle is acquired through a handbrake detection module.
And step S204, determining a target event corresponding to the vehicle to be monitored from a plurality of preset candidate events according to the vehicle state information. The target events comprise an event of entering and exiting the fence, a cargo handling event, a parking posture abnormal event and the like.
In one embodiment, the target events further include risk area events, and when a vehicle enters a risk fence and meets the fence entry event, early warning of entering and exiting the risk area is generated, and monitoring personnel are notified to start real-time remote video monitoring.
And step S206, determining an abnormal detection result of the vehicle to be monitored according to the target event. The abnormal detection result of the vehicle comprises illegal unloading, illegal loading, access risk area, parking risk and the like.
In one embodiment, information related to various target events is determined from various acquired data, abnormal event detection conditions (preset weight threshold and data threshold corresponding to various attitude subdata) corresponding to the various target events are acquired, and when the detected information is not within the range of the preset threshold, it is determined that the vehicle to be detected is abnormal.
According to the vehicle abnormity detection method provided by the embodiment of the invention, when the vehicle abnormity is monitored, the corresponding target event is determined according to the multidimensional data, so that various behaviors of the vehicle in the transportation process are really restored, the vehicle abnormity detection result is simply and quickly obtained, the various behaviors of the vehicle in the transportation process can be restored by acquiring the variable quantity of the multidimensional data and determining the corresponding target event according to the multidimensional data, and the abnormity capture accuracy is improved.
Embodiments of the present invention further provide an implementation manner for detecting a cargo handling abnormal event, specifically refer to the following (1) to (3):
(1) the method comprises the steps of obtaining a fence range of a pre-configured electronic fence, determining that a vehicle to be monitored enters the electronic fence if the vehicle to be monitored is determined to be matched with the inside of the electronic fence according to positioning information and the fence range, and the time length of the internal matching is greater than a preset time threshold, or determining that the vehicle to be monitored exits the electronic fence if the vehicle to be monitored is determined to be matched with the outside of the electronic fence according to the positioning information and the fence range, and the time length of the external matching is greater than the preset time threshold. The electronic fence is a function on the platform, and is provided with labels for loading, unloading, high risk and the like according to the range marked on the map by the longitude and latitude.
In one embodiment, the fence entry event is determined to be generated when the real-time location f (ns) of the vehicle matches within a certain electronic fence range for more than 2 minutes, and the fence exit event is determined to be generated when the location f (ns) of the vehicle matches outside the electronic fence range for more than 2 minutes, wherein the fence entry and exit events are one-to-one events.
(2) The target event comprises a cargo handling event, the posture information comprises vehicle speed data, the target event corresponding to the vehicle to be monitored is determined from a plurality of preset candidate events according to vehicle state information, and under the condition that the vehicle to be monitored is determined to drive into the electronic fence, when the vehicle speed data is smaller than a preset speed threshold value and the braking information represents that a hand brake is turned on, the target event corresponding to the vehicle to be monitored is determined to be the cargo handling event. Wherein the suspension weighing system in the on-board detection device is only switched on when the vehicle is in a braking state.
In one embodiment, when the vehicle speed F (V) is detected to be 0 and the hand brake signal F (PB) is turned on, a suspension weighing system in the vehicle-mounted detection device is controlled to detect, the change of the real-time load capacity F (W) of the vehicle is obtained, a difference value delta F (W) corresponding to F (W) to F (W-1) is calculated according to the time F (T) to F (T-1), when the delta F (W) exceeds a certain positive threshold value, the system judges that the vehicle is a loading event, and when the delta F (W) exceeds a certain negative threshold value, the vehicle is judged to be an unloading event.
(3) Determining an anomaly detection result of the vehicle to be monitored according to the cargo handling event, see steps a1 to a3 as follows:
step a 1: and controlling the suspension bearing equipment to start, and acquiring the weight data of the vehicle to be monitored, which is acquired by the suspension bearing equipment. In the process of judging the unloading event, information such as the time, the position and the like of the start and the end of the event is recorded at the same time.
Step a 2: and calculating the unit weight variation according to the weight data and the data acquisition time corresponding to the weight data. Wherein, probably there are a plurality of vehicles simultaneously in the same position fence, calculate the weight unit variation respectively to each vehicle.
In one embodiment, after the vehicle triggers the pick-up point pens, the task state enters pick-up point monitoring during which one or more pick-up events are generated, and the system identifies whether they occur within the same pen, and if so, merges them, and then the vehicle triggers the pick-up point pens, and the task enters the vehicle transport phase and continues to monitor positioning changes. After the vehicles trigger the entering and discharging point fences, the tasks enter the discharging point monitoring, one or more discharging events can be generated, whether the tasks occur in the same fence or not is identified through a system, if yes, merging is carried out, finally the discharging point fences are triggered out, and the task monitoring is finished.
Step a 3: and if the unit weight variation is larger than the preset weight threshold, determining that the abnormal monitoring result of the vehicle to be monitored is abnormal cargo handling. Wherein, according to the goods loading and unloading abnormity detection result, whether the violent loading and unloading condition exists can be judged.
In one embodiment, when the vehicle is in the heavy vehicle transportation stage, an unloading event occurs, and the unloading amount exceeds a certain threshold value, the illegal unloading early warning is triggered, and meanwhile, photos and videos during unloading are captured, so that monitoring personnel are informed in time and processed.
As for the foregoing step S202, the embodiment of the present invention further provides an implementation manner for detecting an abnormal parking posture event, where the target event includes a posture determination event, and the posture data further includes a plurality of posture subdata; the step of determining an anomaly detection result of the vehicle to be monitored according to the target event comprises the following steps: and for each posture subdata, if the posture subdata is larger than a data threshold corresponding to the posture subdata, determining that the abnormal monitoring result of the vehicle to be monitored is abnormal vehicle posture. Wherein the vehicle attitude data can be used to determine the safety of the vehicle parking location.
In one embodiment, an attitude detector in the vehicle-mounted detection device is controlled to learn the attitude of the vehicle, the vehicle is sensed to be in an acceleration state, a deceleration state, an inclination state and the like in real time, and a corresponding pressure F (P) value can be obtained.
In practical application, the suspension weighing system is combined with the attitude detector, so that attitude change coefficients of a vehicle in 8 directions of leftward inclination, rightward inclination, forward inclination, backward inclination, leftward forward inclination, leftward backward inclination, rightward forward inclination and rightward backward inclination can be synchronously sensed, suspension weighing precision deviation caused by environmental factors is reduced, and the problem that deformation is not generated due to actual cargo weight change and further errors are caused due to the fact that deformation is not generated due to the fact that the suspension is only detected by the suspension weighing system when corresponding vehicle weight is indirectly obtained and is interfered by various road conditions such as an uneven road surface, a deceleration strip and a slope surface is solved.
In one embodiment, the abnormity monitoring result is sent to the appointed association terminal, so that the appointed association terminal executes an alarm operation aiming at the abnormity detection result.
In practical application, after the loading and unloading events are calculated by the data center station due to the change of data collected by the weighing system, video streams in a corresponding time range of local video storage of the video positioning terminal are obtained according to the starting time point and the ending time point of each event, and 3-5 pictures are captured for event evidence, so that monitoring personnel can conveniently process early warning of illegal loading and unloading.
In one embodiment, when an abnormal event is detected, the video monitoring equipment is controlled to be started based on an abnormal monitoring result, an abnormal monitoring video acquired by the video monitoring equipment aiming at the abnormal monitoring result is acquired, and the abnormal monitoring video is sent to the appointed associated terminal.
In order to facilitate understanding of the vehicle abnormality detection method provided in the above embodiment, an application example of the vehicle abnormality detection method is provided in the embodiment of the present invention, referring to a schematic flow chart of another vehicle abnormality detection method shown in fig. 3, where the method mainly includes the following steps S302 to S314:
step S302, vehicle state information sent by each vehicle-mounted detection device is obtained, wherein the vehicle-mounted detection device comprises a video positioning middle end, a vehicle attitude detector, a suspension weighing system, a hand brake detection device, a camera device and the like, and the vehicle state information comprises one or more of positioning information, attitude information, load information and braking information.
Step S304, determining a target event corresponding to the vehicle to be monitored according to the positioning information, the braking information and a preset electronic fence, wherein the fence further comprises a risk fence, and when the vehicle enters the risk fence and meets the fence entering event, early warning of entering and exiting a risk area is generated to inform monitoring personnel to start real-time remote video monitoring.
Step S306, if the target event corresponding to the vehicle to be monitored is a cargo loading and unloading event, comparing the weight unit variation with a preset weight threshold value according to the load information to obtain a cargo loading and unloading abnormity detection result, wherein when the vehicle speed F (V) is detected to be 0 and the hand brake signal F (PB) is turned on, controlling a suspension weighing system in the vehicle-mounted detection equipment to detect, obtaining the change of the real-time load F (W) of the vehicle, converting a difference value delta F (W) corresponding to F (W) to F (W-1) according to the time F (T) to F (T-1), when the delta F (W) exceeds a certain positive threshold value, judging the system to be a loading event, and when the delta F (W) exceeds a certain negative threshold value, judging the system to be an unloading event.
Step S308, if the target event corresponding to the vehicle to be monitored is a gesture determination event, the gesture data is compared with the corresponding data threshold value according to the gesture information to obtain a vehicle gesture detection result, wherein a gesture detector in the vehicle-mounted detection device is controlled to learn the vehicle gesture, the vehicle is sensed to be in the states of acceleration, deceleration, inclination and the like in real time, and the corresponding pressure F (P) value can be obtained.
And S310, feeding back an abnormal monitoring result to a designated associated terminal, and executing an alarm operation, wherein when an unloading event occurs in the transportation process of the vehicle and the unloading amount exceeds a certain threshold value, an illegal unloading early warning is triggered, and meanwhile, photos and videos during unloading are captured and synchronously informed to monitoring personnel for processing.
In conclusion, the method and the device can truly restore various behaviors of the vehicle in the transportation process after acquiring multidimensional data such as positioning, video, weighing and attitude, judge whether the behaviors are compliant or illegal, effectively compensate distortion variable quantity by combining vehicle attitude data, filter interference of various external noise data on a weighing system, greatly improve accuracy of event judgment and remarkably improve monitoring efficiency.
As for the vehicle abnormality detection method provided in the foregoing embodiment, an embodiment of the present invention provides a vehicle abnormality detection apparatus, referring to a schematic structural diagram of a vehicle abnormality detection apparatus shown in fig. 4, which includes the following:
an information acquisition module 402, which acquires vehicle state information of a vehicle to be monitored; the vehicle state information comprises one or more of positioning information, attitude information, load information and braking information;
the target event determining module 404 is configured to determine a target event corresponding to a vehicle to be monitored from a plurality of pre-configured candidate events according to the vehicle state information;
the anomaly detection module 406 determines an anomaly detection result of the vehicle to be monitored according to the target event.
The above-mentioned vehicle anomaly monitoring device that this application embodiment provided confirms corresponding target event according to multidimension degree data to really reducing the vehicle multiple action in the transportation, simple swift obtains the vehicle anomaly detection result, through the change of gathering multidimension degree data, and confirms corresponding target event according to multidimension degree data, can reduce the vehicle multiple action in the transportation, thereby improves the rate of accuracy of unusual capture.
In one embodiment, before the step of determining the target event corresponding to the vehicle to be monitored from the multiple pre-configured candidate event categories according to the vehicle state information is performed, the target event determining module 404 is further configured to: acquiring a fence range of a pre-configured electronic fence; if the vehicle to be monitored is determined to be matched with the interior of the electronic fence according to the positioning information and the fence range, and the time length of the interior matching is longer than a preset time threshold value, determining that the vehicle to be monitored drives into the electronic fence; or if the vehicle to be monitored is determined to be matched with the outside of the electronic fence according to the positioning information and the fence range, and the external matching time length is greater than a preset time threshold value, determining that the vehicle to be monitored is driven out of the electronic fence.
In one embodiment, the target event includes a cargo handling event, the attitude information includes vehicle speed data, and the target event determining module 404 is further configured to, when performing the step of determining the target event corresponding to the vehicle to be monitored from a plurality of pre-configured candidate events according to the vehicle state information: and under the condition that the vehicle to be monitored is determined to drive into the electronic fence, when the vehicle speed data is smaller than a preset speed threshold value and the braking information represents that a hand brake is started, determining that a target event corresponding to the vehicle to be monitored is a cargo handling event.
In one embodiment, when the step of determining the abnormality detection result of the vehicle to be monitored according to the target event is performed, the abnormality detection module 406 is further configured to: controlling the suspension bearing equipment to start, and acquiring weight data of the vehicle to be monitored, which is acquired by the suspension bearing equipment; calculating the unit variation of the weight according to the weight data and the data acquisition time corresponding to the weight data; and if the weight unit variation is larger than the preset weight threshold, determining that the abnormal monitoring result of the vehicle to be monitored is abnormal cargo handling.
In one embodiment, the target event includes an attitude determination event, the attitude data further includes a plurality of attitude subdata, and when the step of determining the abnormality detection result of the vehicle to be monitored according to the target event is performed, the abnormality detection module 406 is further configured to: and for each attitude subdata, if the attitude subdata is larger than the data threshold corresponding to the attitude subdata, determining that the abnormal monitoring result of the vehicle to be monitored is abnormal vehicle attitude.
In an embodiment, the information obtaining module 402 is further configured to: and sending the abnormal monitoring result to the appointed associated terminal so that the appointed associated terminal executes alarm operation aiming at the abnormal monitoring result.
In an embodiment, the information obtaining module 402 is further configured to: controlling the video monitoring equipment to start based on the abnormal monitoring result; acquiring an abnormal monitoring video acquired by video monitoring equipment aiming at an abnormal monitoring result; and sending the abnormal monitoring video to a specified associated terminal.
The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.
The embodiment of the invention provides electronic equipment, which particularly comprises a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, performs the method of any of the above described embodiments.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 100 includes: the device comprises a processor 50, a memory 51, a bus 52 and a communication interface 53, wherein the processor 50, the communication interface 53 and the memory 51 are connected through the bus 52; the processor 50 is used to execute executable modules, such as computer programs, stored in the memory 51.
The Memory 51 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 53 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like may be used.
The bus 52 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 5, but this does not indicate only one bus or one type of bus.
The memory 51 is used for storing a program, the processor 50 executes the program after receiving an execution instruction, and the method executed by the apparatus defined by the flow process disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 50, or implemented by the processor 50.
The processor 50 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by instructions in the form of hardware integrated logic circuits or software in the processor 50. The Processor 50 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, etc. as is well known in the art. The storage medium is located in the memory 51, and the processor 50 reads the information in the memory 51 and completes the steps of the method in combination with the hardware.
The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the foregoing method embodiment, which is not described herein again.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A vehicle abnormality monitoring method characterized by comprising:
acquiring vehicle state information of a vehicle to be monitored; the vehicle state information comprises one or more of positioning information, attitude information, load information and braking information;
determining a target event corresponding to the vehicle to be monitored from a plurality of pre-configured candidate events according to the vehicle state information;
and determining an abnormal detection result of the vehicle to be monitored according to the target event.
2. The method according to claim 1, wherein before the step of determining the target event corresponding to the vehicle to be monitored from a plurality of pre-configured candidate event categories according to the vehicle state information, the method comprises:
acquiring a fence range of a pre-configured electronic fence;
if the vehicle to be monitored is determined to be matched with the interior of the electronic fence according to the positioning information and the fence range, and the time length of the interior matching is longer than a preset time threshold value, determining that the vehicle to be monitored drives into the electronic fence;
or if the vehicle to be monitored is determined to be matched with the outside of the electronic fence according to the positioning information and the fence range, and the external matching time length is greater than the preset time threshold, determining that the vehicle to be monitored is driven out of the electronic fence.
3. The method of claim 2, wherein the target event comprises a cargo handling event, the attitude information comprises vehicle speed data, and the step of determining the target event corresponding to the vehicle to be monitored from a plurality of pre-configured candidate events according to the vehicle state information comprises:
and under the condition that the vehicle to be monitored is determined to drive into the electronic fence, when the vehicle speed data is smaller than a preset speed threshold value and the braking information represents that a hand brake is opened, determining that a target event corresponding to the vehicle to be monitored is a cargo handling event.
4. The method of claim 3, wherein the step of determining an anomaly detection result of the vehicle to be monitored according to the target event comprises:
controlling suspension bearing equipment to start, and acquiring weight data of the vehicle to be monitored, which is acquired by the suspension bearing equipment;
calculating the unit variation of the weight according to the weight data and the data acquisition time corresponding to the weight data;
and if the weight unit variation is larger than a preset weight threshold, determining that the abnormal monitoring result of the vehicle to be monitored is abnormal cargo handling.
5. The method of claim 1, wherein the target event comprises a gesture determination event, the gesture data further comprising a plurality of gesture sub-data; the step of determining the abnormal detection result of the vehicle to be monitored according to the target event comprises the following steps:
and for each attitude subdata, if the attitude subdata is larger than a data threshold corresponding to the attitude subdata, determining that the abnormal monitoring result of the vehicle to be monitored is abnormal vehicle attitude.
6. The method according to any one of claims 1-5, further comprising:
and sending the abnormal monitoring result to a designated associated terminal so that the designated associated terminal executes alarm operation aiming at the abnormal monitoring result.
7. The method of claim 6, further comprising:
controlling the video monitoring equipment to start based on the abnormal monitoring result;
acquiring an abnormal monitoring video acquired by the video monitoring equipment aiming at the abnormal monitoring result;
and sending the abnormal monitoring video to the specified associated terminal.
8. A vehicle abnormality monitoring device characterized by comprising:
the information acquisition module is used for acquiring vehicle state information of a vehicle to be monitored; the vehicle state information comprises one or more of positioning information, attitude information, load information and braking information;
the target event determining module is used for determining a target event corresponding to the vehicle to be monitored from a plurality of preset candidate events according to the vehicle state information;
and the abnormality detection module is used for determining an abnormality detection result of the vehicle to be monitored according to the target event.
9. A server comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any one of claims 1 to 7.
10. A computer-readable storage medium having computer-executable instructions stored thereon which, when invoked and executed by a processor, cause the processor to implement the method of any of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210796556.0A CN114997801A (en) | 2022-07-06 | 2022-07-06 | Vehicle abnormity monitoring method and device and server |
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| CN202210796556.0A CN114997801A (en) | 2022-07-06 | 2022-07-06 | Vehicle abnormity monitoring method and device and server |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116502982A (en) * | 2023-06-26 | 2023-07-28 | 深圳市汉德网络科技有限公司 | Canned ship cargo flow direction control method and system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116502982A (en) * | 2023-06-26 | 2023-07-28 | 深圳市汉德网络科技有限公司 | Canned ship cargo flow direction control method and system |
| CN116502982B (en) * | 2023-06-26 | 2023-09-08 | 深圳市汉德网络科技有限公司 | Canned ship cargo flow direction control method and system |
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