CN110406541B - Driving data processing method, device, system and storage medium - Google Patents
Driving data processing method, device, system and storage medium Download PDFInfo
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- CN110406541B CN110406541B CN201910506640.2A CN201910506640A CN110406541B CN 110406541 B CN110406541 B CN 110406541B CN 201910506640 A CN201910506640 A CN 201910506640A CN 110406541 B CN110406541 B CN 110406541B
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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
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
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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
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
Abstract
The embodiment of the application provides a driving data processing method, equipment, a system and a storage medium. In the examples of the present application. In some exemplary embodiments of the present application, a server obtains vehicle driving data uploaded by a driving data collecting device on a vehicle during a plurality of historical vehicle driving processes; acquiring vehicle running environment data which are uploaded by environment data acquisition equipment on the vehicle in historical multiple vehicle running processes; determining the driving state of a driver in the historical multiple vehicle driving process according to the vehicle driving data and the vehicle driving environment data in the historical multiple vehicle driving process, and further predicting whether dangerous driving behaviors exist in the driver; if the driver safety information exists, warning information is sent to the driver so as to remind the driver of dangerous driving, the driving behavior of the driver is evaluated by combining the vehicle driving data and the vehicle driving environment data, the driver is warned, danger division prompting is more efficient, and user experience is improved.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a driving data processing method, device, system, and storage medium.
Background
With the rapid development of traffic industry, the quantity of motor vehicles kept continuously rises, the number of road traffic accidents is more and more, and the problem of road traffic safety becomes a serious social problem.
At present, the driving behavior of a driver is good or bad, the occurrence rate of traffic accidents is directly influenced, and no method for effectively and comprehensively evaluating the behavior of the driver exists.
Disclosure of Invention
The driving data processing method, the driving data processing device, the driving data processing system and the storage medium are used for evaluating the driving behavior of the driver by combining the vehicle driving data and the vehicle running environment data, accurately holding the driving behavior state of the driver, warning the driver when the driving behavior of the driver is in dangerous driving, and more efficiently prompting danger.
The embodiment of the application provides a driving data processing method, which is suitable for a server in a freight system, and comprises the following steps:
acquiring vehicle driving data uploaded by driving data acquisition equipment on a vehicle in historical multiple vehicle driving processes;
acquiring vehicle running environment data which are uploaded by environment data acquisition equipment on a vehicle and are used in a plurality of historical vehicle running processes;
determining the driving state of a driver in the historical multiple vehicle driving process according to the vehicle driving data and the vehicle driving environment data in the historical multiple vehicle driving process;
predicting whether dangerous driving behaviors exist in the driver according to the driving state of the driver in the historical multiple vehicle driving processes;
if the driver is in danger, warning information is sent to the driver so as to remind the driver of dangerous driving.
An embodiment of the present application further provides a driving behavior monitoring system, including: the system comprises driving data acquisition equipment, environment data acquisition equipment and a server which are arranged on a vehicle;
the driving data acquisition equipment is used for acquiring vehicle driving data in the historical multiple vehicle driving processes and providing the vehicle driving data to the server;
the environment data acquisition equipment is used for acquiring vehicle running environment data in the historical multiple vehicle running processes and providing the vehicle running environment data to the server;
the server is used for receiving vehicle driving data uploaded by the driving data acquisition equipment on the vehicle in the historical multiple vehicle driving processes and receiving vehicle driving environment data uploaded by the environment data acquisition equipment on the vehicle in the historical multiple vehicle driving processes;
determining the driving state of a driver in the historical multiple vehicle driving process according to the vehicle driving data and the vehicle driving environment data in the historical multiple vehicle driving process;
predicting whether dangerous driving behaviors exist in the driver according to the driving state of the driver in the historical multiple vehicle driving processes;
if the driver is in danger, warning information is sent to the driver so as to remind the driver of dangerous driving.
An embodiment of the present application further provides a server, including: a memory, a processor, and a communication component;
the memory for storing a computer program;
the communication component is used for establishing communication connection between the terminal equipment and the server;
the processor to execute the computer program to:
acquiring vehicle driving data uploaded by driving data acquisition equipment on a vehicle in historical multiple vehicle driving processes;
acquiring vehicle running environment data which are uploaded by environment data acquisition equipment on a vehicle and are used in a plurality of historical vehicle running processes;
determining the driving state of a driver in the historical multiple vehicle driving process according to the vehicle driving data and the vehicle driving environment data in the historical multiple vehicle driving process;
predicting whether dangerous driving behaviors exist in the driver according to the driving state of the driver in the historical multiple vehicle driving processes;
if the driver is in danger, warning information is sent to the driver so as to remind the driver of dangerous driving.
Embodiments of the present application also provide a computer-readable storage medium storing a computer program, wherein when the computer program is executed by one or more processors, the one or more processors are caused to execute the steps of the method.
In some exemplary embodiments of the present application, a server obtains vehicle driving data uploaded by a driving data collecting device on a vehicle during a plurality of historical vehicle driving processes; acquiring vehicle running environment data which are uploaded by environment data acquisition equipment on the vehicle in historical multiple vehicle running processes; determining the driving state of a driver in the historical multiple vehicle driving process according to the vehicle driving data and the vehicle driving environment data in the historical multiple vehicle driving process, and further predicting whether dangerous driving behaviors exist in the driver; if the driver behavior state is dangerous driving, the driver behavior state warning device gives a warning to the driver when dangerous driving exists in the driving behavior of the driver, danger-separating prompt is more efficient, and user experience is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram of a shipping system according to an exemplary embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a driving behavior monitoring system according to an exemplary embodiment of the present disclosure;
FIG. 3 is a method flow diagram of a method of processing driving data as described in an exemplary embodiment of the present application from a service perspective;
fig. 4 is a block diagram of a server according to an exemplary embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. 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 application.
At present, the driving behavior of a driver is good or bad, the occurrence rate of traffic accidents is directly influenced, and no method for effectively and comprehensively evaluating the behavior of the driver exists. In view of the above existing problems, in some exemplary embodiments of the present application, a server obtains vehicle driving data uploaded by a driving data collecting device on a vehicle during a plurality of historical vehicle driving processes; acquiring vehicle running environment data which are uploaded by environment data acquisition equipment on the vehicle in historical multiple vehicle running processes; determining the driving state of a driver in the historical multiple vehicle driving process according to the vehicle driving data and the vehicle driving environment data in the historical multiple vehicle driving process, and further predicting whether dangerous driving behaviors exist in the driver; if the driver behavior state is dangerous driving, the driver behavior state warning device gives a warning to the driver when dangerous driving exists in the driving behavior of the driver, danger-separating prompt is more efficient, and user experience is improved.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of a shipping system 10 according to an exemplary embodiment of the present disclosure, where fig. 1 shows the shipping system including: a user terminal 10a, a server 10b and a driver terminal 10 c.
In this embodiment, the user terminal 10a is a computer device for a user to use in a network contract truck, and has functions of computing, accessing internet, communicating, and the like required by the user. The driver terminal 10c is a computer device used by a driver and having functions of computing, accessing internet, communicating and the like required by the driver to take a freight order, and the implementation form of the computer device can be various, for example, a smart phone, a personal computer, a wearable device, a tablet computer and the like.
In the present embodiment, the server 10b can be connected to the user terminal 10a and the driver terminal 10c for communication, and mainly provides data support, computing services and some management services for the user terminal 10a and the driver terminal 10 c. In this embodiment, the implementation form of the server 10b is not limited, and for example, the server 10b may be a server device such as a conventional server, a cloud host, or a virtual center. The server 10b mainly includes a processor, a hard disk, a memory, a system bus, and a general computer architecture.
The user terminal 10a and the driver terminal 10c may be connected to the server 10b wirelessly or by wire. Optionally, the user terminal 10a and the driver terminal 10c may establish a communication connection with the server 10b by using communication methods such as WIFI, bluetooth, infrared, and the like. Alternatively, the user terminal 10a and the driver terminal 10c may establish a communication connection with the server 10b through a mobile network. The network format of the mobile network may be any one of 2G (gsm), 2.5G (gprs), 3G (WCDMA, TD-SCDMA, CDMA2000, UTMS), 4G (LTE), 4G + (LTE +), WiMax, and the like.
In the freight transportation system 10 shown in fig. 1, the user terminal 10a, the server 10b, and the driver terminal 10c cooperate with each other to quickly execute corresponding functions, so that convenience and efficiency of executing the corresponding functions by the user are improved, and user experience is improved. In some embodiments of the present application, the server 10b obtains vehicle driving data uploaded by a driving data collection device on the vehicle during a plurality of historical vehicle runs; acquiring vehicle running environment data which are uploaded by environment data acquisition equipment on the vehicle in historical multiple vehicle running processes; determining the driving state of a driver in the historical multiple vehicle driving process according to the vehicle driving data and the vehicle driving environment data in the historical multiple vehicle driving process, and further predicting whether dangerous driving behaviors exist in the driver; if the driver behavior state is dangerous driving, the driver behavior state warning device gives a warning to the driver when dangerous driving exists in the driving behavior of the driver, danger-separating prompt is more efficient, and user experience is improved.
Fig. 2 is a schematic structural diagram of a driving behavior monitoring system 20 according to an exemplary embodiment of the present application. As shown in fig. 2, the driving behavior monitoring system includes: a driving data collection device 20a, an environmental data collection device 20b, a warning device 20c, and a server 20d provided on the vehicle.
In this embodiment, the server 20d may be connected to the warning device 20c, the driving data collecting device 20a, and the environmental data collecting device 20b, and mainly provides data support, calculation services, and some management services for the warning device 20c, the driving data collecting device 20a, and the environmental data collecting device 20 b. In this embodiment, the implementation form of the server 20d is not limited, and for example, the server 20d may be a server device such as a conventional server, a cloud host, or a virtual center. The server 20d mainly includes a processor, a hard disk, a memory, a system bus, and a general computer architecture.
In this embodiment, the warning device 20c is a computer device for use by a user and having functions of computing, accessing internet, communicating, and the like required by the user, and the implementation form of the computer device may be various, for example, a smart phone, a personal computer, a wearable device, a tablet computer, and the like.
In this embodiment, the driving data collecting device 20a may be various sensors for collecting vehicle operating conditions, such as a speed sensor, an acceleration sensor, an angular velocity sensor, and a position sensor, which are disposed on the vehicle, and the driving data collecting device 20a may also be a device used by the driver, such as a smart phone, a smart helmet, a smart band, and the like, and may assist in collecting various data during the driving process of the vehicle and upload the data to the server.
In the present embodiment, the environment data collecting device 20b is configured to collect vehicle running environment data during running of the vehicle to acquire the driving environment of the vehicle. The environment data acquisition device 20b may be a vehicle data recorder on a vehicle, or an intelligent terminal device used by a driver.
In the present embodiment, the driving data collecting device 20a, the environment data collecting device 20b, and the warning device 20c may establish communication connection with the server 20 d. Alternatively, the driving data collection device 20a, the environmental data collection device 20b, and the warning device 20c may establish a communication connection with the server 20d through a mobile network. The network format of the mobile network may be any one of 2G (gsm), 2.5G (gprs), 3G (WCDMA, TD-SCDMA, CDMA2000, UTMS), 4G (LTE), 4G + (LTE +), WiMax, and the like.
In this embodiment, the driving data collection device 20a and the environmental data collection device 20b may be in communication connection with the warning device 20c, and report the collected data to the warning device 20c first, and finally upload the collected data to the server 20d through the warning device 20c, or the driving data collection device 20a and the environmental data collection device 20b may also directly upload the collected data to the server. In the present embodiment, the driving data collecting device 20a, the environment data collecting device 20b and the warning device 20c may be connected wirelessly or by wire. For example, the driving data collecting device 20a and the environmental data collecting device 20b are provided with signal output interfaces, and the warning device 20c is provided with corresponding signal input interfaces, which are interconnected through data transmission lines such as USB lines. Or, inside wireless communication modules that are adapted, for example, a bluetooth module, a WIFI module, a network card, etc., are provided in driving data collection device 20a and environmental data collection device 20b, and then warning device 20c and driving data collection device 20a and environmental data collection device 20b may realize wireless connection through the wireless communication modules.
The driving data processing method of the following exemplary embodiment is explained below from the perspective of the server 20b in conjunction with the driving behavior monitoring system 20 shown in fig. 2.
As shown in fig. 3, a driving data processing method according to an exemplary embodiment of the present application is described from the perspective of a server, and includes the steps of:
s301: acquiring vehicle driving data uploaded by driving data acquisition equipment on a vehicle in historical multiple vehicle driving processes;
s302: acquiring vehicle running environment data which are uploaded by environment data acquisition equipment on a vehicle and are used in a plurality of historical vehicle running processes;
s303: determining the driving state of a driver in the historical multiple vehicle driving process according to the vehicle driving data and the vehicle driving environment data in the historical multiple vehicle driving process;
s304: predicting whether dangerous driving behaviors exist in the driver according to the driving state of the driver in the historical multiple vehicle driving processes;
s305: if the driver is in danger, warning information is sent to the driver so as to remind the driver of dangerous driving.
In the embodiment, after receiving the vehicle driving data in the historical multiple vehicle driving processes uploaded by the driving data acquisition device on the vehicle and the vehicle driving environment data in the historical multiple vehicle driving processes uploaded by the environment data acquisition device on the vehicle, the server determines the driving state of the driver in the historical multiple vehicle driving processes according to the vehicle driving data in the historical multiple vehicle driving processes and the vehicle driving environment data. An alternative embodiment is that the driving habits of the driver during the historical multiple vehicle driving are determined according to the vehicle driving data during the historical multiple vehicle driving; determining the driving environment in the historical multiple vehicle driving processes according to the vehicle driving environment data in the historical multiple vehicle driving processes; and matching the driving habits of the driver in the mapping relation among the driving habits, the driving environment and the driving state, and acquiring the driving state of the driver in the historical multiple vehicle driving processes.
In the above embodiment, specifically, the driving habits of sudden braking, sudden acceleration, sudden turning, overspeed and the like in the historical multiple vehicle driving processes are determined according to the vehicle driving data in the historical multiple vehicle driving processes; and determining the driving environment in each driving process according to the surrounding environment image information in the historical driving processes of the vehicle for multiple times. The user customizes the driving habit, the mapping relation between the driving environment and the driving state in advance, for example, if the driver adopts rapid acceleration when ascending, the driving state of the driver is good; and if rapid acceleration is adopted on the flat road section, the driving state of the driver is bad, the driving habits of the driver are matched in the mapping relation among the driving habits, the driving environment and the driving state, the driving state of the driver in the historical vehicle driving process for multiple times is obtained, and the driving state of the driver in each vehicle driving process is recorded.
After determining the driving state of the driver in the historical multiple vehicle driving processes, the server predicts whether dangerous driving behaviors exist in the driver or not according to the driving state of the driver in the historical multiple vehicle driving processes. One optional embodiment is that the driving state of the driver in the historical multiple vehicle driving process is input into a pre-estimation model, the driving behavior of the driver is estimated, and the driving behavior score of the driver is obtained; and determining whether dangerous driving behaviors exist in the driver according to the driving behavior score of the driver. Optionally, the driving state of the driver in the historical multiple vehicle driving processes is used as an input of a naive Bayes algorithm, and the driving behavior score of the driver is output by the naive Bayes algorithm.
In the above embodiment, optionally, it is determined whether there is dangerous driving behavior for the driver according to the driving behavior score of the driver. The following two cases are included:
and in the first situation, judging whether the driver has dangerous driving behaviors or not according to the driving behavior score of the driver. And if the driving behavior score of the driver is larger than the set risk threshold, judging that dangerous driving behaviors exist in the driver.
Determining the driving behavior risk level of the driver according to the driving behavior score of the driver; and if the driving behavior risk level of the driver is greater than the set risk level, determining that dangerous driving behaviors exist in the driver.
In the above-described case one, for example, the driving behavior score of the driver may be set to a percentile, the risk threshold value is set to 60 points, and when the driving behavior score of the driver exceeds 60 points, it is determined that the driver has dangerous driving behavior.
In the second case, the driving behavior risk level may include three levels, i.e., a high risk level, a medium risk level and a low risk level, for example, the risk level is set as the risk level, and if the driving behavior risk level of the driver is the high risk level, it is determined that the driver has dangerous driving behavior.
And after the server judges that dangerous driving behaviors exist in the driver, warning information is sent to the driver so as to remind the driver of dangerous driving. One way that can be realized is to send out warning information to the intelligent wearing equipment that the driver wore. The intelligent wearable equipment worn by the driver sends out warning information, so that the driver can acquire the warning information quickly, and the driver can adjust own driving behavior in time. Wherein, warning information includes: at least one of vibration, a warning tone, a smell, and a light flicker.
In the method embodiment of the driving data processing method, the server acquires the driving data of the vehicle uploaded by the driving data acquisition equipment on the vehicle in the historical driving process of the vehicle for multiple times; acquiring vehicle running environment data which are uploaded by environment data acquisition equipment on the vehicle in historical multiple vehicle running processes; determining the driving state of a driver in the historical multiple vehicle driving process according to the vehicle driving data and the vehicle driving environment data in the historical multiple vehicle driving process, and further predicting whether dangerous driving behaviors exist in the driver; if the driver behavior state is dangerous driving, the driver behavior state warning device gives a warning to the driver when dangerous driving exists in the driving behavior of the driver, danger-separating prompt is more efficient, and user experience is improved.
Fig. 4 is a block diagram of a server according to an exemplary embodiment of the present disclosure. As shown in fig. 4, the server includes: memory 403, processor 402; necessary components such as a communication component 401 and a power component 404 may also be included.
A memory 403 for storing a computer program;
a communication component 401, configured to establish a communication connection between a user terminal and a server for data transmission;
a processor 402 for executing a computer program for: acquiring vehicle driving data uploaded by driving data acquisition equipment on a vehicle in historical multiple vehicle driving processes; acquiring vehicle running environment data which are uploaded by environment data acquisition equipment on a vehicle and are used in a plurality of historical vehicle running processes; determining the driving state of a driver in the historical multiple vehicle driving process according to the vehicle driving data and the vehicle driving environment data in the historical multiple vehicle driving process; predicting whether dangerous driving behaviors exist in the driver according to the driving state of the driver in the historical multiple vehicle driving processes; if the driver is in danger, warning information is sent to the driver so as to remind the driver of dangerous driving.
Optionally, the processor 402, when determining the driving state of the driver during the historical multiple vehicle driving according to the vehicle driving data and the vehicle driving environment data during the historical multiple vehicle driving, is specifically configured to: determining the driving habits of a driver in the historical multiple vehicle driving processes according to the vehicle driving data in the historical multiple vehicle driving processes; determining the driving environment in the historical multiple vehicle driving processes according to the vehicle driving environment data in the historical multiple vehicle driving processes; and matching the driving habits of the driver in the mapping relation among the driving habits, the driving environment and the driving state, and acquiring the driving state of the driver in the historical multiple vehicle driving processes.
Optionally, the driving habits include: at least one of hard braking, hard acceleration, hard turning, and overspeed.
Optionally, when predicting whether the driver has dangerous driving behavior according to the driving state of the driver during the historical multiple vehicle driving processes, the processor 402 is specifically configured to: inputting the driving state of a driver in the historical multiple vehicle driving process into a pre-estimation model, and evaluating the driving behavior of the driver to obtain the driving behavior score of the driver; and determining whether dangerous driving behaviors exist in the driver according to the driving behavior score of the driver.
Optionally, the processor 402, when determining whether there is dangerous driving behavior for the driver according to the driving behavior score of the driver, is specifically configured to: determining the driving behavior risk level of the driver according to the driving behavior score of the driver; and if the driving behavior risk level of the driver is greater than the set risk level, determining that dangerous driving behaviors exist in the driver.
Optionally, when the processor 402 sends the warning information to the driver, it is specifically configured to: and warning information is sent to the intelligent wearable equipment worn by the driver.
Optionally, the alert information comprises: at least one of vibration, a warning tone, a smell, and a light flicker.
Correspondingly, the embodiment of the application also provides a computer readable storage medium storing the computer program. The computer-readable storage medium stores a computer program, and the computer program, when executed by one or more processors, causes the one or more processors to perform the steps in the method embodiment of fig. 3.
In the embodiment of the server and the storage medium, the server acquires vehicle driving data uploaded by driving data acquisition equipment on a vehicle in the historical multiple vehicle driving processes; acquiring vehicle running environment data which are uploaded by environment data acquisition equipment on the vehicle in historical multiple vehicle running processes; determining the driving state of a driver in the historical multiple vehicle driving process according to the vehicle driving data and the vehicle driving environment data in the historical multiple vehicle driving process, and further predicting whether dangerous driving behaviors exist in the driver; if the driver behavior state is dangerous driving, the driver behavior state warning device gives a warning to the driver when dangerous driving exists in the driving behavior of the driver, danger-separating prompt is more efficient, and user experience is improved.
The communication component of fig. 4 described above is configured to facilitate communication between the device in which the communication component is located and other devices in a wired or wireless manner. The device in which the communication component is located may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component further includes Near Field Communication (NFC) technology, Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and the like to facilitate short-range communications.
The power supply assembly of fig. 4 described above provides power to the various components of the device in which the power supply assembly is located. The power components may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device in which the power component is located.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A driving data processing method is suitable for a server in a freight transportation system, and is characterized by comprising the following steps:
the method comprises the steps of obtaining vehicle driving data in historical multiple vehicle driving processes uploaded by driving data acquisition equipment on a vehicle to determine the driving habits of a driver in the historical multiple vehicle driving processes;
acquiring vehicle running environment data in historical multiple vehicle running processes, which is uploaded by environment data acquisition equipment on a vehicle, so as to determine the driving environment in the historical multiple vehicle running processes;
determining the driving state of a driver in the historical multiple vehicle driving process based on the driving habit, the driving environment and the mapping relation of the driving state;
predicting whether dangerous driving behaviors exist in the driver according to the driving state of the driver in the historical multiple vehicle driving processes;
if the driver is in danger, warning information is sent to the driver so as to remind the driver of dangerous driving.
2. The method of claim 1, comprising: determining a driving state of a driver during the historical multiple vehicle driving according to the vehicle driving data and the vehicle driving environment data during the historical multiple vehicle driving, comprising:
determining the driving habits of a driver in the historical multiple vehicle driving processes according to the vehicle driving data in the historical multiple vehicle driving processes;
determining the driving environment in the historical multiple vehicle driving processes according to the vehicle driving environment data in the historical multiple vehicle driving processes;
and matching the driving habits of the driver in the mapping relation among the driving habits, the driving environment and the driving state, and acquiring the driving state of the driver in the historical multiple vehicle driving processes.
3. The method of claim 2, wherein the driving habits comprise: at least one of hard braking, hard acceleration, hard turning, and overspeed.
4. The method of claim 1, wherein predicting whether the driver has dangerous driving behavior based on the driver's driving state over a historical plurality of vehicle trips comprises:
inputting the driving state of a driver in the historical multiple vehicle driving process into a pre-estimation model, and evaluating the driving behavior of the driver to obtain the driving behavior score of the driver;
and determining whether dangerous driving behaviors exist in the driver according to the driving behavior score of the driver.
5. The method of claim 4, wherein determining whether the driver has dangerous driving behavior based on the driving behavior score of the driver comprises:
determining the driving behavior risk level of the driver according to the driving behavior score of the driver;
and if the driving behavior risk level of the driver is greater than the set risk level, determining that dangerous driving behaviors exist in the driver.
6. The method of claim 1, wherein issuing a warning message to the driver comprises:
and warning information is sent to the intelligent wearable equipment worn by the driver.
7. The method of claim 1, wherein the alert information comprises: at least one of vibration, a warning tone, a smell, and a light flicker.
8. A driving behavior monitoring system, comprising: the system comprises driving data acquisition equipment, environment data acquisition equipment and a server which are arranged on a vehicle;
the driving data acquisition equipment is used for acquiring vehicle driving data in the historical multiple vehicle driving processes and providing the vehicle driving data to the server;
the environment data acquisition equipment is used for acquiring vehicle running environment data in the historical multiple vehicle running processes and providing the vehicle running environment data to the server;
the server is used for receiving vehicle driving data uploaded by the driving data acquisition equipment on the vehicle in the historical multiple vehicle driving processes to determine the driving habits of a driver in the historical multiple vehicle driving processes and receiving vehicle driving environment data uploaded by the environment data acquisition equipment on the vehicle in the historical multiple vehicle driving processes to determine the driving environment in the historical multiple vehicle driving processes;
determining the driving state of a driver in the historical multiple vehicle driving process based on the driving habit, the driving environment and the mapping relation of the driving state;
predicting whether dangerous driving behaviors exist in the driver according to the driving state of the driver in the historical multiple vehicle driving processes;
if the driver is in danger, warning information is sent to the driver so as to remind the driver of dangerous driving.
9. A server, comprising: a memory, a processor, and a communication component;
the memory for storing a computer program;
the communication component is used for establishing communication connection between the terminal equipment and the server;
the processor to execute the computer program to:
the method comprises the steps of obtaining vehicle driving data in historical multiple vehicle driving processes uploaded by driving data acquisition equipment on a vehicle to determine the driving habits of a driver in the historical multiple vehicle driving processes;
acquiring vehicle running environment data in historical multiple vehicle running processes, which is uploaded by environment data acquisition equipment on a vehicle, so as to determine the driving environment in the historical multiple vehicle running processes;
determining the driving state of a driver in the historical multiple vehicle driving process based on the driving habit, the driving environment and the mapping relation of the driving state;
predicting whether dangerous driving behaviors exist in the driver according to the driving state of the driver in the historical multiple vehicle driving processes;
if the driver is in danger, warning information is sent to the driver so as to remind the driver of dangerous driving.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by one or more processors, causes the one or more processors to perform the steps of the method of any one of claims 1-7.
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| CN111191980A (en) * | 2019-12-19 | 2020-05-22 | 广州航天海特系统工程有限公司 | Evidence generation method, device, equipment and storage medium |
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| CN111354155B (en) * | 2020-02-25 | 2022-04-12 | 南京领行科技股份有限公司 | Method, device and equipment for carrying out safety reminding in vehicle driving process |
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| CN112644514B (en) * | 2020-12-31 | 2022-05-10 | 上海商汤临港智能科技有限公司 | Driving data processing method, device, equipment, storage medium and program product |
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| CN113119981B (en) * | 2021-04-09 | 2022-06-17 | 东风汽车集团股份有限公司 | Vehicle active safety control method, system and storage medium |
| CN113119985B (en) * | 2021-05-31 | 2022-12-06 | 东风商用车有限公司 | Automobile driving data monitoring method, device, equipment and storage medium |
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