CN115297138A - Vehicle management method and system - Google Patents
Vehicle management method and system Download PDFInfo
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- CN115297138A CN115297138A CN202210802997.7A CN202210802997A CN115297138A CN 115297138 A CN115297138 A CN 115297138A CN 202210802997 A CN202210802997 A CN 202210802997A CN 115297138 A CN115297138 A CN 115297138A
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Abstract
The application discloses a vehicle management method and a system, wherein the method comprises the following steps: the vehicle management server receives collected data reported by associated Internet of things equipment of at least one vehicle, wherein the collected data comprises vehicle state data and vehicle associated personnel behavior data; the vehicle management server associates the acquired data with a corresponding vehicle; the vehicle management server analyzes the received collected data and matches the analyzed collected data according to a prestored event judgment rule to determine a first event type of the corresponding vehicle; and the vehicle management server sends out a corresponding indication signal when the first event type meets a preset prompt condition. The vehicle management method and the vehicle management system can effectively improve the management efficiency and the management capability of a vehicle manager.
Description
Technical Field
The present application relates to the field of vehicle management technologies, and in particular, to a vehicle management method and system.
Background
Vehicle management is the technical supervision and safety management of vehicles and drivers, and the scope of vehicle management includes: vehicle information registration, maintenance and repair supervision of vehicles, driver file management, driving safety management, vehicle use record management and the like. In the prior art, vehicle management mostly stays in a traditional offline management mode, the offline management mode can bring about the problems of difficulty in data capture and complex management process, and the offline management mode cannot help a vehicle manager to find and solve the problems in time.
Therefore, how to change the offline management mode of the existing vehicle, a method for more efficiently managing the existing vehicle becomes a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The method and the system adopt an online management mode to uniformly manage the vehicles, can monitor the vehicle condition and the vehicle use condition in time and identify drivers with potential safety hazards in driving behaviors, and can enable the vehicle manager to adopt a corresponding solution in time, so that the management capability of the vehicle manager is improved, and the million kilometer accident rate is further reduced.
In order to solve one or more of the above technical problems, the present application adopts the following technical solutions:
the application provides a vehicle management method, which comprises the following steps:
the vehicle management server receives collected data reported by associated Internet of things equipment of at least one vehicle, wherein the collected data comprises vehicle state data and vehicle associated personnel behavior data;
the vehicle management server associates the acquired data with a corresponding vehicle;
the vehicle management server analyzes the received collected data and matches the analyzed collected data according to a prestored event judgment rule to determine a first event type of the corresponding vehicle;
and the vehicle management server sends out a corresponding indication signal when the first event type accords with a preset prompt condition.
Further, when the first event type meets a preset prompting condition, the vehicle management server sends a corresponding indication signal, including:
the vehicle management server displays the acquired data and the first event type for manual judgment when the first event type meets a preset prompt condition;
and the vehicle management server receives a manual judgment result aiming at the first event type, acquires an object associated with the corresponding vehicle and the first event type according to a pre-stored notification rule and sends a corresponding indication signal to the associated object when the manual judgment result is yes.
Further, the object is at least one of a vehicle driver, a vehicle related internet of things device and a vehicle manager.
Further, the object is a driver of a vehicle, and the method further comprises:
the vehicle management server carries out face recognition on the received collected data to determine a current driver of the vehicle;
the vehicle management server determines the contact way of the current driver according to prestored contact person information;
the sending of the corresponding indication signal to the associated object comprises: and sending a corresponding indication signal to a current driver of the vehicle according to the contact way.
Further, the indication signal is a voice prompt message.
Further, the vehicle management server receives an abnormal event reported by associated internet of things equipment of at least one vehicle, wherein the abnormal event is determined by the associated internet of things equipment according to the acquired data;
the vehicle management server analyzes the acquired data corresponding to the abnormal event based on a preset algorithm to determine a corresponding second event type;
and when judging that the second event type is not matched with the abnormal event, the vehicle management server sends an abnormal event cancelling instruction to the associated Internet of things equipment of the vehicle.
Further, the step of analyzing the received collected data and matching the analyzed collected data according to a pre-stored event judgment rule by the vehicle management server to determine the first event type of the corresponding vehicle includes:
the vehicle management server analyzes the received collected data to identify the identity of a driver of the corresponding vehicle, the running time of the corresponding vehicle and the eye closing time of the driver;
and when the vehicle management server judges that the time for the driver to continuously drive the vehicle exceeds the preset time and/or the time for the driver to close eyes exceeds the preset time, determining that the driver is fatigue driving.
Further, the step of analyzing the received collected data and matching the analyzed collected data according to a pre-stored event judgment rule by the vehicle management server to determine the first event type of the corresponding vehicle includes:
the vehicle management server analyzes the received collected data to identify the running area of the corresponding vehicle and the running state of the corresponding vehicle;
and when the vehicle management server judges that the operation area of the vehicle driven by the driver is a preset area and the operation state of the vehicle driven by the driver is inconsistent with the preset operation state, determining that the driver is in illegal driving in the area.
Further, the running state of the corresponding vehicle includes a running speed of the corresponding vehicle.
Further, the analyzing the received collected data and matching the analyzed collected data according to a pre-stored event judgment rule by the vehicle management server to determine the first event type of the corresponding vehicle includes:
the vehicle management server analyzes the received collected data and identifies the running state of the corresponding vehicle;
and when judging that the running state of the vehicle driven by the driver is inconsistent with a preset running state, the vehicle management server determines that the driver is driving on the deviated route.
Further, the running state of the corresponding vehicle includes a driving route of the corresponding vehicle.
The present application further provides a vehicle management system, comprising:
the vehicle management server is used for receiving collected data reported by the associated Internet of things equipment of at least one vehicle, analyzing the collected data after associating the collected data with the corresponding vehicle, and matching the analyzed collected data according to a prestored event judgment rule to determine a first event type of the corresponding vehicle;
and the vehicle management server is also used for sending out a corresponding indication signal when the first event type accords with a preset prompt condition.
The vehicle management server is a device for providing computing services through a network, and can independently provide internet services such as computing, storage, backup, sharing, pushing and the like. Further, the vehicle management server is used for real-time monitoring, historical track query, statistical analysis, data sharing and the like.
And the associated Internet of things equipment of the vehicle is used for acquiring data and uploading the data to the vehicle management server. In particular, the associated internet of things devices of the vehicle are built into or plugged into one vehicle.
According to the specific embodiments provided by the application, the application discloses the following technical effects:
the application provides a vehicle management method and system, and the method and system change the offline management mode of the existing vehicle into the online management mode, so that the management efficiency and the management capability of a vehicle manager are effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a flowchart of a vehicle management method according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a vehicle management system according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived from the embodiments given herein by a person of ordinary skill in the art are intended to be within the scope of the present disclosure.
As described in the background art, the existing vehicle management mode has a plurality of stay online management modes, and the problems of difficult data capture and complex management process are caused by the adoption of the offline management mode. The method and the system aim at solving the problems of difficulty in data capture and complex management process caused by a lower management mode in the background art, and creatively provide an online management mode of the vehicle, and the online management mode can timely monitor the vehicle condition and identify a driver with potential safety hazard in driving behavior, so that the management efficiency and the management capacity of a vehicle manager are improved.
The following description will be given by way of specific examples.
Example one
In view of the above problem, an embodiment of the present application provides a vehicle management method, and fig. 1 is a flowchart of the vehicle management method provided in the embodiment of the present application. As shown in fig. 1, a vehicle management method generally includes:
s1: the vehicle management server receives collected data reported by the associated Internet of things equipment of at least one vehicle, wherein the collected data comprises vehicle state data and vehicle associated personnel behavior data.
The vehicle management server is a device for providing computing services through a network, and can independently provide internet services such as computing, storage, backup, sharing, pushing and the like. The related internet of things equipment of the vehicle is built in or connected to the vehicle and comprises an on-board tablet computer, an air purifier for the vehicle, a camera for the vehicle, a GPS (global positioning system) locator and the like, and other equipment which is connected in various forms near the vehicle, such as a communicator for charging in a parking lot, a charging pile with a communication function and the like.
The collected data comprises vehicle state data and vehicle-related personnel behavior data, and specifically, the vehicle state data comprises vehicle running speed, vehicle running duration, a running route of a vehicle in a specific area and the like; the vehicle-related person behavior data includes a head-down frequency, a eye-closing frequency, a cell phone playing frequency, a phone call making frequency, and the like of the vehicle-related person. Here, the vehicle-related person includes a driver of the vehicle, a member who rides the vehicle, and the like.
S2: and the vehicle management server associates the acquired data with the corresponding vehicle.
Specifically, the vehicle management server integrates the collected data reported by the internet of things related to the vehicles into a virtual vehicle case, so that the data of the internet of things related to the vehicles and the specific vehicles can be integrated together, and the data association is realized.
S3: and the vehicle management server analyzes the received collected data and matches the analyzed collected data according to a prestored event judgment rule to determine the first event type of the corresponding vehicle.
The vehicle management server may store a plurality of event determination rules in advance, and for example, the event determination rules may include fatigue driving in which a driver continuously drives the vehicle for more than 4 hours, fatigue driving in which a driver drives the vehicle for more than 5 seconds, overspeed driving in which a vehicle running speed exceeds a maximum limit speed of a driving area, and the like.
And the vehicle management server matches the analyzed acquired data according to a pre-stored event judgment rule to determine the first event type of the corresponding vehicle. For example, the time that the driver a continuously drives the vehicle is 3.5 hours, the vehicle management server matches the time that the driver a continuously drives the vehicle with the time that the driver a continuously drives the vehicle being 3.5 hours with an event judgment rule (fatigue driving is performed when the time that the driver continuously drives the vehicle exceeds 4 hours) pre-stored in the vehicle management server, and the vehicle management server determines that the driver a is fatigue driving if the matching results are consistent.
S4: and the vehicle management server sends out a corresponding indication signal when the first event type meets a preset prompt condition.
In order to increase the accuracy of judgment, the vehicle management server displays the collected data and the first event type for manual judgment when the first event type meets a preset prompt condition. For example, after the vehicle management server determines that the eye-closing time of the driver exceeds 5s and is fatigue driving, the eye-closing video and the preliminary determination result of the driver are displayed on a server or a mobile phone app interface for the vehicle manager to make a final determination. And when the final judgment made by the vehicle management personnel is yes, the vehicle management server acquires an object associated with the corresponding vehicle and the first event type according to a prestored notification rule and sends a corresponding indication signal to the associated object.
The object is associated with a first event type, specifically at least one of a vehicle driver, an associated internet of things device of the vehicle, and a vehicle manager.
When the object is a vehicle driver, the vehicle management server performs face recognition on the received collected data to determine the current driver of the vehicle. As a preferred embodiment, in the present application, facial images of all drivers need to be collected in advance, a facial feature extraction model is used to obtain facial features of each facial image of a driver, the collected facial features are stored in a database, and the facial features of a driver correspond to vehicle information and a contact manner of a corresponding driver in the database, where the vehicle information may be a license plate number of a vehicle. In the application, the face features of a plurality of drivers can be used for one license plate number, the face features of one driver can be used for corresponding to a plurality of license plate numbers, and a user can set the face features according to actual requirements without specific limitation. The method comprises the steps of obtaining a facial picture of a driver through a shooting device installed on a vehicle, extracting face features in the facial picture, comparing the detected face features with face features of the driver corresponding to a certain license plate number in a database, and if the similarity is smaller than a preset threshold value, indicating that no record of the driver to be tested matched with the certain license plate number exists. If the similarity is larger than or equal to a preset threshold value, the fact that the record of the driver to be tested matched with a certain license plate number exists is indicated, and the contact way of the corresponding driver is further obtained. And sending a corresponding indication signal to the current driver of the vehicle according to the contact way of the corresponding driver.
The indication signal comprises voice prompt information, and the vehicle management server sends the indication information to the associated object according to different preset rules and different vehicle states and different vehicle associated personnel behaviors. In one case, the severity of the vehicle driving violation and the driver driving violation may be different, and the associated object obtained by the vehicle management server may also be different. For example: the continuous driving time of the driver is 4-5 hours, the vehicle management server obtains the associated Internet of things equipment of which the associated object is the vehicle according to a preset notification rule and sends an indication signal to the associated Internet of things equipment of the vehicle, and the associated Internet of things equipment of the vehicle plays the familiarity voice according to the corresponding indication signal to prompt the driver to belong to fatigue driving at present and stop for rest. The familiarity voice is a voice recorded in advance by the relative of the driver, such as words for reminding the driver of safe driving by the child of the driver. When the continuous driving time of the driver exceeds 6 hours, if the probability of traffic accidents occurring during the continuous driving is increased, the severity of the violation is higher, the vehicle management server acquires a related object according to a preset notification rule and sends an indication signal to the vehicle manager, wherein the vehicle manager can be a previous manager of the driver, and the vehicle manager can notify the driver of fatigue driving, stop, rest and the like in any mode such as a mode of calling the driver after receiving the indication signal.
Further, the vehicle management server receives an abnormal event reported by associated internet of things equipment of at least one vehicle, wherein the abnormal event is determined by the associated internet of things equipment according to the acquired data. For example, the associated internet of things device of the vehicle acquires that the vehicle is speeding, and sends the abnormal event of speeding of the vehicle to the vehicle management server. And the vehicle server analyzes a driving area corresponding to overspeed driving and the driving speed based on a preset algorithm to determine a second event type, namely the vehicle in the area runs normally. When the vehicle server judges that the second event type (the vehicle is in normal running in the area) is not matched with the abnormal event (the vehicle runs at an excessive speed), an abnormal event canceling instruction is sent to the related Internet of things equipment of the vehicle, namely, an instruction for canceling the overspeed running is sent to the related Internet of things equipment of the vehicle.
Example two
The embodiment refines the first event type on the basis of the first embodiment.
And the vehicle management server analyzes the received collected data and matches the analyzed collected data according to a prestored event judgment rule to determine that the first event type of the corresponding vehicle comprises fatigue driving.
Fatigue driving refers to the phenomenon that after a driver drives a vehicle continuously for a long time, the driver has imbalance between physiological functions and psychological functions, and objectively declines driving skills. The fatigue driving causes the driver to be distracted, the judgment is reduced, and the road traffic accidents are easy to happen. Therefore, how to quickly and accurately detect the fatigue condition of the driver and give a prompt has great significance for reducing traffic accidents caused by fatigue driving. On one hand, fatigue can be generated when the continuous driving time of the driver exceeds a certain time, and whether the driver has the fatigue driving condition can be judged by monitoring the continuous driving time of the driver. On the other hand, although the driver does not continuously drive the vehicle for more than a certain time, fatigue driving may be caused due to insufficient sleep of the driver before driving, and in this case, whether the driver has a fatigue driving state may be determined by monitoring physiological characteristics of the driver. When the driver is tired, the physiological characteristics such as head lowering and eye closing frequency increasing can be shown, whether the driver is in a fatigue driving state or not can be judged by monitoring the physiological characteristics of the driver, and if the driver is in the fatigue state, a prompt is given to the driver to remind the driver to pay attention to parking and rest.
In the embodiment of the application, the vehicle management server analyzes and identifies the received collected data to correspond to the driver identity of the vehicle, the running time of the vehicle and the eye closing time of the driver. The corresponding vehicle operating time referred to herein is the time period between the start of the vehicle and the complete stop of the vehicle. And when judging that the time for the driver to continuously drive the vehicle exceeds the preset time and/or the time for the driver to close eyes exceeds the preset time, the vehicle management server determines that the driver is fatigue driving.
Additionally, fatigue driving actions include, but are not limited to, eye closure, yawning, eye left-right-looking, low head, and the like. Except that the eye closing time exceeds the preset time, the fatigue driving is judged, the yawning frequency, the eye left-looking right-looking frequency, the head lowering frequency and the like can also be used as rules for judging the fatigue driving, and the method is also suitable for the protection scope of the patent.
For the parts of the second embodiment that are not described in detail, reference may be made to the descriptions of the foregoing embodiments, which are not described herein again.
EXAMPLE III
The embodiment further refines the first event type on the basis of the first embodiment.
And the vehicle management server analyzes the received collected data and matches the analyzed collected data according to a prestored event judgment rule to determine that the first event type of the corresponding vehicle also comprises area illegal driving.
Some areas have clear regulations on the running state of the vehicle, such as driving speed, whether a whistle can be sounded, and the like, for example, areas such as warehouses, logistics parks, and the like, the running speed of the vehicle cannot exceed a preset value and the whistle cannot be sounded, and further, for example, in the central position of some cities, a truck cannot be entered in a certain period of time, and the like. In this embodiment, the vehicle management server analyzes the received collected data to identify the operation area of the corresponding vehicle and the operation state of the corresponding vehicle. As a specific embodiment, the method includes the steps of firstly obtaining position information of a vehicle to be detected through a GPS positioning device, and judging whether the vehicle to be detected enters a specific area, when the vehicle management server judges that an operation area where a driver drives the vehicle is a preset area, further judging whether an operation state where the driver drives the vehicle is consistent with the preset operation state, and if not, determining that the driver drives the vehicle in an area violation manner. For example: when the vehicle management server judges that the running area where the driver drives the vehicle is the preset area, the vehicle management server can firstly remind the driver of the running state required by the area through voice broadcast, such as speed limit information, whether the area can whistle, the time period for the area to allow the vehicle to enter and the like. And then, the vehicle management server acquires the actual running speed of the vehicle to be detected, whether the vehicle has a whistling phenomenon and the like, compares the actual running speed with the preset maximum speed and the like of the area in the database, and determines that the driver is driving in violation of the area if the running speed of the vehicle exceeds the preset maximum speed of the area or the vehicle has the whistling phenomenon and the like in the area, and sends a corresponding indication signal to the related object.
For the unrefined parts in the third embodiment, reference may be made to the descriptions of the foregoing embodiments, which are not repeated herein.
Example four
The embodiment further refines the first event type on the basis of the first embodiment.
The vehicle management server analyzes the received collected data and matches the analyzed collected data according to a prestored event judgment rule to determine that the first event type of the corresponding vehicle also comprises offset route driving.
Route management is a key point of modern logistics management, and if goods can be delivered to customers most quickly and safely, logistics trucks can be more efficient in transportation, and the distribution of companies in customer centers can be greatly improved.
As a preferred implementation manner, in the embodiment of the application, after a vehicle manager plans a driving route through a vehicle management server, the vehicle management server stores the planned driving route and automatically sends the driving route to a related internet of things device of a vehicle, and the related internet of things device of the vehicle receives the driving route and then prompts a driver to drive according to a preset route. The method comprises the steps that relevant internet of things equipment of a vehicle collects relevant data of vehicle running in real time and sends the collected data to a vehicle management server, the vehicle management server analyzes the received collected data and identifies the running state of the corresponding vehicle, and the running state can be the running route of the vehicle, the running speed of the vehicle and the like. The vehicle management server compares the driving route of the driver driving the vehicle with a preset route, if the driving route of the vehicle in a specific area is not in a preset range, or the driving route and the driving speed of the vehicle in the specific area are not in the preset range, the vehicle management server judges that the driver drives by the offset route, and sends a corresponding indication signal to the associated object.
For the parts of the fourth embodiment that are not described in detail, reference may be made to the descriptions of the foregoing embodiments, which are not described herein again.
EXAMPLE five
The embodiment provides a vehicle management system for realizing the vehicle management method provided by the embodiment.
Fig. 2 is a schematic structural diagram of a vehicle management system provided in an embodiment of the present application. As shown in fig. 2, the system includes:
and the associated Internet of things equipment of the vehicle is used for acquiring data and uploading the data to the vehicle management server.
The related internet of things equipment of the vehicle is built in or connected to the vehicle, and comprises vehicle parts with the internet of things function, such as a vehicle-mounted tablet computer, a vehicle air purifier, a vehicle camera and a GPS (global positioning system) locator, and other equipment which is connected nearby the vehicle in various forms, such as a video reader, an Ethernet interface, a wireless local area network interface, a Bluetooth interface and the like, for example, a communicator for charging in a parking lot, a charging pile with the communication function and the like. Data of the vehicle related internet of things equipment and a specific vehicle can be integrated together to realize data correlation, such as: the GPS locator is used to locate a specific position of the vehicle, and a vehicle manager can determine the current driving state of the vehicle through the specific position of the vehicle managed by the vehicle manager. The vehicle camera can comprise a plurality of cameras, and as a better implementation mode, in the embodiment of the application, a vehicle terminal is provided with five cameras in total, and the first camera is arranged at the vehicle head and is mainly used for shooting road conditions in front of a vehicle; the second camera is arranged in front of the driver and is mainly used for shooting the face of the driver, and people and vehicles matching judgment, fatigue driving judgment of the driver and the like can be carried out through images or videos; the third camera is arranged above the copilot and is mainly used for shooting the carriage environment, the actions of the driver and the like, and whether the driver plays a mobile phone, makes a call and the like in the driving process can be judged through images or videos; the fourth and the fifth camera set up blind area department about the car respectively for remind the outer road conditions information of driver's car. The interval time of the image and video shooting can be set according to the user requirement, for example, the shooting is performed once every one minute, or the shooting is performed once every two minutes, and the like, which is not limited herein. The time for each video shot can also be set according to the actual requirements of the user, for example, the duration of each shot of the video is 10s or 20s, and the like, which is also not limited herein.
The vehicle management server is used for receiving collected data reported by the associated Internet of things equipment of at least one vehicle, analyzing the collected data after associating the collected data with the corresponding vehicle, and matching the analyzed collected data according to a prestored event judgment rule to determine a first event type of the corresponding vehicle; the vehicle management server is further used for sending out corresponding indication signals when the first event type meets preset prompt conditions.
The vehicle management server judges the first event type of the corresponding vehicle, sends out a corresponding indication signal when the first event type meets a preset prompt condition, and has the functions of real-time monitoring, historical track query, statistical analysis, data sharing and the like.
The real-time monitoring is that the real-time position of the running of the vehicle is displayed in a map according to vehicle positioning data collected by the related internet of things equipment of the vehicle in real time, and various state information of the running of the monitored vehicle is displayed in detail in Fang Yongbiao grids under the map, wherein the state information includes whether the current vehicle has alarm information or not according to set alarm conditions.
And the historical track query is to display the vehicle running track in the specified time on a map according to the historical data of the vehicle running track point. In the embodiment of the application, in order to send the data processed by the vehicle management server to a vehicle manager or a vehicle user terminal more conveniently and quickly, the receiving end can check the relevant information in time in a webpage form or a mobile phone application APP form. In order to further improve the convenience of vehicle management of vehicle managers, a vehicle classification management method can be set up, and vehicle managers of different grades and vehicle users are set to have different authorities. Specifically, different levels of vehicle managers and vehicle users have different content operation authorities, and correspondingly different operation authorities are generated according to different authorities, for example, the vehicle manager at the highest level has the highest authority and can view and operate all information of the vehicle, while the vehicle user has lower authority and can only operate within the scope of the authority of the vehicle user.
The statistical analysis comprises vehicle running statistical analysis, driver driving behavior statistical analysis and the like, and the vehicle running statistics mainly aim at vehicles in a given time period and count information such as total online time, running mileage and the like; and the statistical analysis of the driving behaviors of the driver mainly counts the statistics of the violation behaviors of the driver in a given time period. According to the driving behaviors of the driver, the driving behaviors can be scored every day, every week and every month, and the driving behavior index, the high-risk behavior ranking, the high-risk events and the like of the driver are analyzed. And a good ranking list of driving behaviors can be provided, and spiritual encouragement is given, so that each driver is encouraged to cultivate good safe driving behavior habits, and the safe driving of the whole society is promoted.
Data sharing enables data related to the vehicle to be reasonably utilized, all parties related to the vehicle can analyze the related data, and repeated labor such as data collection and corresponding cost are reduced. For example, vehicle-related data may be shared with vehicle component suppliers who are able to obtain a large amount of application data about the components they produce, providing more efficient data support for their further development and improvement. For safety reasons, the shared data can be anonymized, so that privacy disclosure of the vehicle user is avoided and the vehicle operation safety is guaranteed besides the data are provided to the related demand side.
For the parts of the fifth embodiment that are not described in detail, reference may be made to the descriptions of the previous embodiments, which are not described herein again.
Therefore, the method and the system for managing the vehicles adopt an online management mode to uniformly manage the vehicles, can monitor the vehicle conditions and the vehicle use conditions in time and identify drivers with potential safety hazards in driving behaviors, and accordingly the vehicle managers can adopt corresponding solutions in time, and management efficiency and management capacity of the vehicle managers are improved.
The vehicle management method and system provided by the present application are described in detail above, and specific examples are applied herein to illustrate the principles and embodiments of the present application, and the description of the above embodiments is only used to help understand the method and core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific embodiments and the application range may be changed. In view of the above, the description should not be taken as limiting the application.
Claims (10)
1. A vehicle management method, characterized in that the method comprises:
the vehicle management server receives collected data reported by associated Internet of things equipment of at least one vehicle, wherein the collected data comprises vehicle state data and vehicle associated personnel behavior data;
the vehicle management server associates the acquired data with a corresponding vehicle;
the vehicle management server analyzes the received collected data and matches the analyzed collected data according to a prestored event judgment rule to determine a first event type of the corresponding vehicle;
and the vehicle management server sends out a corresponding indication signal when the first event type accords with a preset prompt condition.
2. The vehicle management method according to claim 1, wherein the vehicle management server issues a corresponding indication signal when the first event type meets a preset prompting condition, and comprises:
when the first event type meets a preset prompting condition, the vehicle management server displays the acquired data and the first event type for manual judgment;
and the vehicle management server receives a manual judgment result aiming at the first event type, acquires an object associated with the corresponding vehicle and the first event type according to a pre-stored notification rule and sends a corresponding indication signal to the associated object when the manual judgment result is yes.
3. The vehicle management method according to claim 2, wherein the object is at least one of a vehicle driver, an associated internet of things device of a vehicle, and a vehicle manager.
4. The vehicle management method according to claim 2, wherein the object is a vehicle driver, the method further comprising:
the vehicle management server carries out face recognition on the received collected data to determine a current driver of the vehicle;
the vehicle management server determines the contact way of the current driver according to prestored contact person information;
said issuing a corresponding indication signal to said associated object comprises: and sending a corresponding indication signal to a current driver of the vehicle according to the contact way.
5. The vehicle management method according to claim 4, wherein the indication signal is a voice prompt.
6. The vehicle management method according to claim 1, characterized in that the method further comprises:
the vehicle management server receives an abnormal event reported by associated internet of things equipment of at least one vehicle, wherein the abnormal event is determined by the associated internet of things equipment according to the acquired data;
the vehicle management server analyzes the acquired data corresponding to the abnormal event based on a preset algorithm to determine a corresponding second event type;
and when judging that the second event type is not matched with the abnormal event, the vehicle management server sends an abnormal event cancelling instruction to the associated Internet of things equipment of the vehicle.
7. The vehicle management method according to claim 1, wherein the analyzing the received collected data and matching the analyzed collected data according to a pre-stored event judgment rule by the vehicle management server to determine the first event type of the corresponding vehicle comprises:
the vehicle management server analyzes the received collected data to identify the identity of a driver of the corresponding vehicle, the running time of the corresponding vehicle and the eye closing time of the driver;
and when the vehicle management server judges that the time for the driver to continuously drive the vehicle exceeds the preset time and/or the time for the driver to close eyes exceeds the preset time, determining that the driver is fatigue driving.
8. The vehicle management method according to claim 1, wherein the analyzing the received collected data and matching the analyzed collected data according to a pre-stored event judgment rule by the vehicle management server to determine the first event type of the corresponding vehicle comprises:
the vehicle management server analyzes the received collected data to identify the running area of the corresponding vehicle and the running state of the corresponding vehicle;
and when the vehicle management server judges that the operation area of the vehicle driven by the driver is a preset area and the operation state of the vehicle driven by the driver is inconsistent with the preset operation state, determining that the driver is in illegal driving in the area.
9. The vehicle management method according to claim 1, wherein the analyzing the received collected data and matching the analyzed collected data according to a pre-stored event judgment rule by the vehicle management server to determine the first event type of the corresponding vehicle comprises:
the vehicle management server analyzes the received collected data and identifies the running state of the corresponding vehicle;
and when judging that the running state of the vehicle driven by the driver is inconsistent with the preset running state, the vehicle management server determines that the driver drives the vehicle on the deviated route.
10. A vehicle management system, characterized in that the system comprises:
the vehicle management server is used for receiving the collected data reported by the associated Internet of things equipment of at least one vehicle, correlating the collected data with the corresponding vehicle, analyzing the correlated collected data, and matching the analyzed collected data according to a prestored event judgment rule to determine a first event type of the corresponding vehicle;
the vehicle management server is also used for sending out a corresponding indication signal when the first event type meets a preset prompt condition;
and the associated Internet of things equipment of the vehicle is used for acquiring data and uploading the data to the vehicle management server.
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