CN110458604A - A kind of net about driver's evaluation method, device, equipment and storage medium - Google Patents
A kind of net about driver's evaluation method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a kind of net about driver's evaluation method, device, equipment and storage mediums.This method comprises: acquisition vision data, voice data, odor data and information of vehicles；The information on services of net about driver is determined according to the vision data, voice data, odor data and information of vehicles；Overall merit is carried out to the net about driver according to the information on services, according to the technical solution of the present invention, it can be realized and more comprehensive evaluation is carried out to net about driver, and then supervise the service of net about driver by way of evaluation, promote the service quality of net about driver.
Description
Technical field
The present embodiments relate to computer technology more particularly to a kind of net about driver's evaluation method, device, equipment and deposit
Storage media.
Background technique
With drip drop be representative trip enterprise appearance, led the primary completely new revolution in mobile trip field, with Toyota,
BMW, the general automobile main frame maker for representative, which also one after another position enterprise from automaker to mobile trip service provider, to be changed,
Mobile trip certainly will will become the important component of the following trip.The competition of mobile trip service market, has developed department
Machine resource contention improves driver's quality and service quality, is the key factor for obtaining net about vehicle competitiveness.
How overall merit is carried out to net about driver, and then guarantees that by way of evaluation, the service quality of net about driver is
Current technical problem urgently to be solved.
Summary of the invention
The embodiment of the present invention provides a kind of net about driver's evaluation method, device, equipment and storage medium, to realize to net about
Driver carries out more comprehensive evaluation, and then the service of net about driver is supervised by way of evaluation, promotes the clothes of net about driver
Business quality.
In a first aspect, the embodiment of the invention provides a kind of net about driver's evaluation methods, comprising:
Acquire vision data, voice data, odor data and information of vehicles；
The information on services of net about driver is determined according to the vision data, voice data, odor data and information of vehicles；
Overall merit is carried out to the net about driver according to the information on services.
Further, further includes:
Judge whether the information on services meets default alert condition；
If the information on services meets default alert condition, the net about driver is mentioned according to the information on services
It wakes up.
Further, determine net about driver's according to the vision data, voice data, odor data and information of vehicles
Information on services includes:
Image recognition is carried out to the vision data；
Speech recognition is carried out to the voice data；
Odor identification is carried out to the odor data；
The information of vehicles is carried out to drive comfort level identification；
The violation information of service environment information and net about driver are determined according to recognition result.
Further, carrying out overall merit to the net about driver according to the information on services includes:
Overall merit is carried out to the net about driver according to the violation information of the service environment information and net about driver.
Further, further includes:
The emotional information of net about driver, the emotional information and driving security information of passenger are determined according to recognition result.
Further, carrying out overall merit to the net about driver according to the information on services includes:
According to the service environment information, the violation information of net about driver, the emotional information of net about driver, passenger mood
Information and driving security information carry out overall merit to the net about driver.
Further, the information on services includes: net about driver identification information, net about driver driving information, net about driver
Wear the outer and/or interior ceremony action message of information, net about driver's vehicle, the number information of passenger, passenger gender information, Cheng Kezhuan
State information, special Customer information, vehicle hygienic state information, passenger leave object information, Vehicle preparation status information, vehicle and move
At least one of state comfort information and vehicle static comfort information.
Second aspect, the embodiment of the invention also provides a kind of net about driver's evaluating apparatus, which includes:
Acquisition module, for acquiring vision data, voice data, odor data and information of vehicles；
Determining module, for determining that net is about taken charge of according to the vision data, voice data, odor data and information of vehicles
The information on services of machine；
Evaluation module, for carrying out overall merit to the net about driver according to the information on services.
Further, further includes:
Judgment module, for judging whether the information on services meets default alert condition；
Reminding module, if meeting default alert condition for the information on services, according to the information on services to described
Net about driver reminds.
Further, determining module is specifically used for:
Image recognition is carried out to the vision data；
Speech recognition is carried out to the voice data；
Odor identification is carried out to the odor data；
The information of vehicles is carried out to drive comfort level identification；
The violation information of service environment information and net about driver are determined according to recognition result.
Further, evaluation module is specifically used for:
Overall merit is carried out to the net about driver according to the violation information of the service environment information and net about driver.
Further, determining module is also used to:
The emotional information of net about driver, the emotional information and driving security information of passenger are determined according to recognition result.
Further, evaluation module is also used to:
According to the service environment information, the violation information of net about driver, the emotional information of net about driver, passenger mood
Information and driving security information carry out overall merit to the net about driver.
Further, the information on services includes: net about driver identification information, net about driver driving information, net about driver
Wear the outer and/or interior ceremony action message of information, net about driver's vehicle, the number information of passenger, passenger gender information, Cheng Kezhuan
State information, special Customer information, vehicle hygienic state information, passenger leave object information, Vehicle preparation status information, vehicle and move
At least one of state comfort information and vehicle static comfort information.
The third aspect the embodiment of the invention also provides a kind of computer equipment, including memory, processor and is stored in
On memory and the computer program that can run on a processor, the processor are realized when executing described program as the present invention is real
Apply any net about driver's evaluation method in example.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer
Program realizes net about driver's evaluation method as described in any in the embodiment of the present invention when program is executed by processor.
The embodiment of the present invention passes through acquisition vision data, voice data, odor data and information of vehicles；According to the view
Feel that data, voice data, odor data and information of vehicles determine the information on services of net about driver；According to the information on services pair
The net about driver carries out overall merit, carries out more comprehensive evaluation to net about driver to realize, and then pass through the shape of evaluation
Formula supervises the service of net about driver, promotes the service quality of net about driver.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the flow chart of one of the embodiment of the present invention one net about driver's evaluation method；
Fig. 2A is the flow chart of one of the embodiment of the present invention two net about driver's evaluation method；
Fig. 2 B is the general frame flow chart in the embodiment of the present invention two；
Fig. 2 C is the data acquisition module schematic diagram in the embodiment of the present invention two；
Fig. 2 D is the core algorithm module schematic diagram in the embodiment of the present invention two；
Fig. 2 E is the state management module schematic diagram in the embodiment of the present invention two；
Fig. 2 F is the data analysis module schematic diagram in the embodiment of the present invention two；
Fig. 2 G is the interactive service module diagram in the embodiment of the present invention two；
Fig. 3 is the structural schematic diagram of one of the embodiment of the present invention three net about driver's evaluating apparatus；
Fig. 4 is the structural schematic diagram of one of the embodiment of the present invention four computer equipment.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.Meanwhile of the invention
In description, term " first ", " second " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.
Embodiment one
Fig. 1 is a kind of flow chart for net about driver's evaluation method that the embodiment of the present invention one provides, and the present embodiment is applicable
The case where Yu Wangyue driver evaluates, this method can be executed by the about driver's evaluating apparatus of the net in the embodiment of the present invention, the dress
Setting can be used the mode of software and/or hardware and realizes, as shown in Figure 1, this method specifically comprises the following steps:
S110, acquisition vision data, voice data, odor data and information of vehicles.
Wherein, the vision data can be the video image of the collected car of camera in car, or outside vehicle
Video image outside the collected vehicle of camera, or can be the video image outside the interior collected vehicle of camera, this
Inventive embodiments are not limited this.
Wherein, vision collecting can be carried out to interior and vehicle periphery side information, the video data of acquisition is not limited to interior and vehicle
The vision data of outer periphery.
Wherein, the voice data can be the voice data of vehicle interior, or the voice data of outside vehicle,
Can also not only include the voice data of vehicle interior, but also the voice data including outside vehicle, the embodiment of the present invention to this not into
Row limitation.
Wherein, voice data can be the corresponding voice data of driver, or the corresponding voice data of passenger may be used also
Think the voice data outside vehicle, it is not limited by the embodiments of the present invention.
Wherein, the odor data is interior odor data, and the odor data can pass through electronic nose, gas sensing
The smells such as device acquire equipment, are acquired to trip viability in-car smell.
Wherein, the acquisition modes of the information of vehicles can be directly to read from vehicle network, or from vehicle
Cloud database reading can be perhaps to read from the port OBD or can be using external multiple sensors (such as gyro)
Information of vehicles is acquired, it is not limited by the embodiments of the present invention.
Specifically, acquisition vision data, voice data, odor data and information of vehicles, such as can be, to interior and
Vehicle periphery side information carries out vision data acquisition, and the voice messaging of driver, passenger are acquired using microphone array or sound pick-up,
It self can sleep under non-voice environment, reduce power consumption；Equipment pair is acquired using the smells such as electronic nose, gas sensor are not limited to
Trip viability in-car smell is acquired.Vehicle information collection unit can be used various ways and adopt to information of vehicles
Collection, be not limited to fill before vehicle read directly from vehicle network, read from vehicle cloud database, being read from the port OBD or
Person is acquired information of vehicles using external multiple sensors (such as gyro) and waits various ways, and the main content that acquires is not limited to
Car speed/acceleration information, steering information, braking/accelerator pedal information, air-conditioning state information, seat state information,
The vehicle-related informations such as GPS information.
S120 determines the service of net about driver according to the vision data, voice data, odor data and information of vehicles
Information.
Wherein, the phase of the essential information in the information on services including net about driver and passenger, behavioural information and vehicle
Close information etc..
Wherein, the information on services of the net about driver can be net about driver identification information, net about driver driving information, net
About driver wear the outer and/or interior ceremony action message of information, net about driver's vehicle, the number information of passenger, passenger gender information,
Passenger status information, special Customer information, vehicle hygienic state information, passenger leave object information, Vehicle preparation status information,
At least one of vehicle dynamic comfort information and vehicle static comfort information.
Specifically, determining the clothes of net about driver according to the vision data, voice data, odor data and information of vehicles
Business information, such as can be, carried out image recognition, speech recognition, odor identification for different types of data and drive comfortable
Identification, main identifying purpose: whole to entire trip service to carry out environment sensing；Contrast standard service procedure, identification net are about taken charge of
Machine does not meet the movement and behavior of service standard；Different types of recognition result is subjected to information fusion, Emotion identification is carried out, drives
Multiply the identification work of the complicated phenomenons such as safety identification.
Optionally, the information on services includes: that net about driver identification information, net about driver driving information, net are about driver and wear
The outer and/or interior ceremony action message of information, net about driver's vehicle, the number information of passenger, passenger gender information, passenger status
Information, special Customer information, vehicle hygienic state information, passenger leave object information, Vehicle preparation status information, vehicle dynamic
At least one of comfort information and vehicle static comfort information.
S130 carries out overall merit to the net about driver according to the information on services.
Wherein, carrying out the mode of overall merit to net about driver can be to pre-establish about between information on services and score
Relationship database, according to information on services inquire database obtain corresponding score, due to information on services may include it is a variety of,
Therefore, the final score that net about driver can be obtained by way of summation evaluates net about driver by score, can also
Think the information on services by comprehensively considering net about driver, obtains level of aggregation evaluation and recommendation on improvement, the embodiment of the present invention
This is not limited.
Specifically, according to actual general performance come to driver carry out overall merit, evaluative dimension be not limited to driving behavior,
Ceremony, mood, vehicle environmental, passenger's evaluation etc., periodically send level of aggregation evaluation and recommendation on improvement to driver, are convenient for net about vehicle
Management of the administrative staff of company to net Yue Che driver, the module be responsible for simultaneously to security crisis event and specific group's demand into
The allotment of row Service Operation personnel.
Optionally, the clothes of net about driver are determined according to the vision data, voice data, odor data and information of vehicles
Business information include:
Image recognition is carried out to the vision data；
Speech recognition is carried out to the voice data；
Odor identification is carried out to the odor data；
The information of vehicles is carried out to drive comfort level identification；
The violation information of service environment information and net about driver are determined according to recognition result.
Specifically, carrying out language to the voice data according to the recognition result for carrying out image recognition to the vision data
The recognition result of sound identification；The recognition result of odor identification is carried out to the odor data and the information of vehicles is driven
The recognition result for multiplying comfort level identification determines the violation information of service environment information and net about driver, such as can be, for not
Image recognition, speech recognition, odor identification have been carried out with data type and drive comfortable identification, main identifying purpose: to entire
Trip service is whole to carry out environment sensing；Contrast standard service procedure, identification driver do not meet the movement and behavior of service standard.
Optionally, carrying out overall merit to the net about driver according to the information on services includes:
Overall merit is carried out to the net about driver according to the violation information of the service environment information and net about driver.
Optionally, further includes:
The emotional information of net about driver, the emotional information and driving security information of passenger are determined according to recognition result.
Specifically, different types of recognition result is carried out information fusion, it is multiple to carry out Emotion identification, driving safety identification etc.
The identification work of miscellaneous phenomenon.
Optionally, carrying out overall merit to the net about driver according to the information on services includes:
According to the service environment information, the violation information of net about driver, the emotional information of net about driver, passenger mood
Information and driving security information carry out overall merit to the net about driver.
In a specific example, determine net about according to vision data, voice data, odor data and information of vehicles
The information on services of driver mainly utilizes image recognition algorithm unit, speech recognition algorithm unit, odor identification algorithm unit, drives
Multiply comfort recognizer unit, wherein image recognition algorithm unit mainly includes four subelements: pre-processing image data, department
Machine identification, passenger's identification, vehicle environmental identification.Pre-processing image data main purpose is to eliminate information unrelated in image, is increased
Strong useful information, while simplifying data, the method for use is not limited to digitlization, geometric transformation, smooth, recovery, enhancing etc..Driver
Whether driver identification, fatigue driving, driver's dress close rule, outer/interior ceremony movement of driver's vehicle etc. to identification subelement for identification
Driver's Classical correlation；Passenger's identification for identification the number of passenger, passenger's gender, passenger status (drunk etc.), in passenger whether
Include passengers' Classical correlation such as child；Vehicle hygienic state (contains interior hygienic state, appearance for identification for vehicle environmental identification
The neighbouring pavement state etc. of hygienic state, car door), passenger leave object, Vehicle preparation state (mineral water, paper handkerchief, chewing gum etc.).
Image recognition algorithm is mainly not limited to deep learning, all kinds of image recognition algorithms of machine learning.Speech recognition algorithm unit is main
Including audio pretreatment, speech recognition, semantic analysis three parts.Audio pretreatment is not limited to framing, adding window etc. operation, eliminate because
People's phonatory organ itself or the aliasing as brought by acquisition equipment, higher hamonic wave distortion etc. influence；Speech recognition mainly passes through
Audio data is converted to text data by acoustic model, language model etc.；Semantic analysis mainly includes multiple target study, topic inspection
It surveys and the contents based on NLP algorithm such as tracking.Odor identification algorithm unit mainly includes odor data pretreatment, odor identification two
Part.Content is not limited to inflammable and explosive (fuel gas etc.), human body endangers (formaldehyde, benzene, dimethylbenzene, carbon monoxide for main identification
Deng), air quality (PM2.5, dust, smog, sulfide etc.), alcohol concentration etc..Odor identification algorithm be not limited to machine learning,
All kinds of algorithms such as deep learning.Driving comfortable recognizer unit mainly includes driving data and processing, the identification of dynamic comfort
Three parts are identified with static comfort, are driven data prediction and are not limited to abnormality value removing, data structured, data conversion etc.
Reason method；The identification of dynamic comfort includes that vehicle " three suddenly one surpass " (suddenly accelerates, anxious deceleration, take a sudden turn, exceed the speed limit) identification, vehicle flat
Stability identification etc., static comfort identification include air-conditioning state identification (air quantity, mode, temperature etc.), interior seat state (position
Set, attitude angle etc.) identification, interior noise identification etc..It drives comfortable recognizer and is not limited to machine learning, expertise, logic
All kinds of algorithms such as judgement.
The technical solution of the present embodiment passes through acquisition vision data, voice data, odor data and information of vehicles；Root
The information on services of net about driver is determined according to the vision data, voice data, odor data and information of vehicles；According to the clothes
Information of being engaged in carries out overall merit to the net about driver, can be realized and carries out more comprehensive evaluation, Jin Ertong to net about driver
The service for crossing the form supervision net about driver of evaluation, promotes the service quality of net about driver.
Embodiment two
Fig. 2A is the flow chart of one of the embodiment of the present invention two net about driver's evaluation method, and the present embodiment is with above-mentioned reality
It applies and optimizes based on example, in the present embodiment, acquisition vision data, voice data, odor data and information of vehicles；Root
The information on services of net about driver is determined according to the vision data, voice data, odor data and information of vehicles；According to the clothes
Information of being engaged in carries out overall merit to the net about driver.
As shown in Figure 2 A, the method for the present embodiment specifically comprises the following steps:
S210, acquisition vision data, voice data, odor data and information of vehicles.
S220 determines the service of net about driver according to the vision data, voice data, odor data and information of vehicles
Information.
S230 carries out overall merit to the net about driver according to the information on services.
S240, judges whether the information on services meets default alert condition.
Wherein, the default alert condition is the alert condition of default, such as can be, if information on services is vehicle
Environment is poor, driver's ceremony is not up to standard etc., it is determined that information on services meets default alert condition.
Specifically, judging whether information on services meets default alert condition can be to preset alert condition, will service
Information is compared with alert condition, and then judges whether information on services meets default alert condition.
S250, if the information on services meets default alert condition, according to the information on services to the net about driver
It is reminded.
Wherein, the alerting pattern can be to be reminded by directly exporting voice, or pass through and send text
The form of information is reminded, or can be to be reminded by way of playing music, and the embodiment of the present invention is to prompting
Mode is not limited.
Specifically, being reminded according to information on services net about driver, example if information on services meets setting alert condition
It such as can be, if information on services is that vehicle environmental is poor, driver's ceremony is not up to standard, set alert condition are as follows: when information on services is vehicle
It when environment difference, driver's ceremony be not up to standard, is reminded, it is determined that information on services meets setting alert condition, to net about driver
It is reminded.
In a specific example, as shown in Figure 2 B, the first step is mentioned by data collecting module collected net Yue Che driver
For the various data that service is whole, main grab type includes that vision collecting, voice collecting, smell acquisition and information of vehicles are adopted
Collection；The data of data collecting module collected are entered core algorithm module, carried out mainly for different types of data by second step
Image recognition, speech recognition, odor identification and drive comfortable identification, main identifying purpose: 1. pairs of entire trip services it is whole into
Row environment sensing；2. contrast standard service procedure, identification driver does not meet the movement and behavior of service standard；Third step, state
Management module is mainly that the result for identifying module carries out Decision Classfication, and distinguishing which data is needed toward data analysis module
Transmitting, which data are to need to transmit to interactive service module, and the transitive dependency of data is in network communication module, the module network
Mode is not limited to the latticed forms such as 2G, 3G, 4G, 5G, Wifi；4th step is data analysis module, first by state management module
The data come with the transmitting of interactive service module carry out data storage, and different types of recognition result is carried out information fusion, is carried out
Emotion identification, the identification work for driving the complicated phenomenons such as safety identification, in data analysis module simultaneously according to actual consolidated statement
Now coming to carry out driver overall merit, evaluative dimension is not limited to driving behavior, ceremony, mood, vehicle environmental, passenger's evaluation etc.,
Data Management Unit is responsible for management and visualization to data, periodically can send level of aggregation evaluation and recommendation on improvement to driver,
Convenient for management of the administrative staff to net Yue Che driver of Wang Yue vehicle company, which is responsible for simultaneously to security crisis event and special
The allotment of group need progress Service Operation personnel；5th step is interactive service module, is identified for state management module
Phenomena such as vehicle environmental is poor, driver's ceremony is not up to standard is reminded guidance to driver in time, and the response after reminding driver into
Row monitoring, while data analysis module is returned the result to, interactive service module has interactive function simultaneously, realizes driver and pipe
The interaction of reason personnel, driver and operation personnel.
As shown in Figure 2 C, data acquisition module mainly includes vision collecting unit, voice collecting unit, smell acquisition list
Member, vehicle information collection unit, wherein vision collecting unit uses and is not limited to the modes pair such as camera, camera, automobile data recorder
Visual information is acquired, and vision collecting equipments layout scheme is not limited to outside interior and vehicle, can be to interior and vehicle periphery side information
Vision collecting is carried out, acquisition content is not limited to interior and vehicle outer periphery visual information etc..Voice collecting unit is used and is not limited to
The voice capture device of microphone array, sound pick-up, voice capture device arrangement are not limited to outside interior and vehicle, can be to department
Machine, passenger voice messaging be acquired, have positioning standard, high sensitivity, exempt from wake-up, low-power the features such as, in non-voice ring
It self can sleep under border, reduce power consumption.Smell acquisition module is set using the acquisition of the smells such as electronic nose, gas sensor is not limited to
It is standby, trip viability in-car smell is acquired.Vehicle information collection unit can be used various ways to information of vehicles into
Row acquisition, be not limited to fill before vehicle read directly from vehicle network, read from vehicle cloud database, being read from the port OBD,
Also or information of vehicles is acquired using external multiple sensors (such as gyro) and waits various ways, it is main to acquire content not
It is limited to car speed/acceleration information, steering information, braking/accelerator pedal information, air-conditioning state information, seat state letter
The vehicle-related informations such as breath, GPS information.
As shown in Figure 2 D, core algorithm module: mainly including image recognition algorithm unit, speech recognition algorithm unit, gas
Taste recognizer unit, ride comfort recognizer unit, wherein image recognition algorithm unit mainly includes four subelements:
Pre-processing image data, driver's identification, passenger's identification, vehicle environmental identification.Pre-processing image data main purpose is elimination figure
The unrelated information as in enhances useful information, while simplifying data, and the method for use is not limited to digitlization, geometric transformation, puts down
Sliding, recovery, enhancing etc..Driver identifies whether subelement closes rule knowledge comprising driver identification identification, fatigue driving identification, driver's dress
Not, drivers' Classical correlation such as outer/interior ceremony action recognition of driver's vehicle；Passenger's identification includes the number identification of passenger, Cheng Kexing
Shi Bie, (drunk etc.) identification of passenger status, whether passengers' Classical correlations such as child's identification not be included in passenger；Vehicle environmental identification
It is lost comprising vehicle hygienic state identification (containing pavement state near interior hygienic state, appearance hygienic state, car door etc.), passenger
Stay object identification, Vehicle preparation state recognition (mineral water, paper handkerchief, chewing gum etc.).Image recognition algorithm is mainly not limited to depth
Study, all kinds of image recognition algorithms of machine learning.Speech recognition algorithm unit mainly includes audio pretreatment, speech recognition, language
Justice analysis three parts.Audio pretreatment be not limited at home, framing, the operation such as adding window, eliminate because people's phonatory organ itself or by
Acquiring aliasing brought by equipment, higher hamonic wave distortion etc. influences；Speech recognition mainly passes through acoustic model, language model etc.
Audio data is converted into text data；Semantic analysis mainly includes that multiple target study, topic detection and tracking etc. are calculated based on NLP
The content of method.Odor identification algorithm unit mainly includes odor data pretreatment, odor identification two parts.Main identification content is not
Be limited to inflammable and explosive (fuel gas etc.), human body endanger (formaldehyde, benzene, dimethylbenzene, carbon monoxide etc.), air quality (PM2.5,
Dust, smog, sulfide etc.), alcohol concentration etc..Odor identification algorithm is not limited to all kinds of algorithms such as machine learning, deep learning.
Driving comfortable recognizer unit mainly includes driving data and processing, the identification of dynamic comfort and static state comfort identification three
Point, it drives data prediction and is not limited to the processing methods such as abnormality value removing, data structured, data conversion；Dynamic comfort is known
Not Bao Han vehicle " three anxious one surpass " (it is anxious accelerate, it is anxious slow down, zig zag, hypervelocity) identification, vehicle stability identification etc., it is static comfortable
Property identification include that air-conditioning state identification (air quantity, mode, temperature etc.), interior seat state (position, attitude angle etc.) identify, are interior
Noise identification etc..It drives comfortable recognizer and is not limited to all kinds of algorithms such as machine learning, expertise, logic judgment.
As shown in Figure 2 E, state management module: major function is state decision, is divided into data intelligence Decision Classfication device, number
According to analysis module area pending, interactive service module area pending, four part of network communication unit, state management module receives to come from core
All kinds of output datas of center algorithm module split data into data intelligence Decision Classfication device according to the content and property of data
Two classes, one kind are full dose data, are put into data analysis module area pending, another kind of is to need to mention driver in recognition result
Awake information, comprising being not limited to tired driver, driver wears irregularity, ceremony movement is not in place, hygienic state is poor, passenger has something lost
Stay object, reorganize and outfit state irregularity, driver's language irregularity, car have peculiar smell, driver driving be uncomfortable, air-conditioning state setting not
Low, seat state is unreasonable and other irregularity situations, these data are put into interactive service module area pending.Utilize network
Communication unit distributes data to disparate modules.
As shown in Figure 2 F, it data analysis module: is mainly commented including data storage cell, information fusion unit, driver's synthesis
Valence unit, Data Management Unit, wherein data storage cell will mainly upload data classification storage；Information fusion unit is main
(fusion language is identified including driver/passenger's Emotion identification (convergence voice, visual information), passenger status (drunk/burst disease etc.)
Sound, smell, visual information), drive analysis (fusion track, language, visual information) etc., the transmission of information fusion recognition result
To Data Management Unit, a portion timeliness is demanding, as driver/passenger's mood class is transmitted directly to interactive service
Module；Driver's overall merit unit is comprising driving behavior, driver's ceremony, driver's mood, vehicle equipment, vehicle environmental and passenger
The overall evaluation system of evaluation, evaluation result are transferred to Data Management Unit；Data Management Unit major function is first is that realize number
According to the management and visualization of analysis result, second is that crisis reply adjustmenting management (including security situation intervention, emergency situations passengers are special
Different care etc.), third is that driver's overall merit situation is informed driver in the period and proposes recommendation on improvement simultaneously.
As shown in Figure 2 G, interactive service module: major function is received from state management module and data analysis module
Interactive information, by various modes realize information prompting and interaction.Information reminding mode is mainly that voice reminder, text mention
It wakes up and other class modes is reminded.Voice reminder includes to be not limited to bluetooth headset, speaker etc., and text prompting is not limited to vehicle device and shows
Device, instrument, mobile phone, object wearing device etc..After interactive service module reminds driver, the executive condition of driver is monitored, and
Send result to data analysis module.The module includes simultaneously intelligent interaction unit, is worn by bluetooth headset, wechat, intelligence
It wears the devices such as equipment and realizes driver and administrative staff/operation personnel information exchange.
The technical solution of the present embodiment passes through acquisition vision data, voice data, odor data and information of vehicles, root
The information on services that net about driver is determined according to the vision data, voice data, odor data and information of vehicles, according to the clothes
Information of being engaged in carries out overall merit to the net about driver, judges whether the information on services meets default alert condition, if described
Information on services meets default alert condition, then is reminded according to the information on services the net about driver, can be realized pair
Net about driver carries out more comprehensive evaluation, and then the service of net about driver is supervised by way of evaluation, promotes net about driver
Service quality.
Embodiment three
Fig. 3 is a kind of structural schematic diagram for net about driver's evaluating apparatus that the embodiment of the present invention three provides.The present embodiment can
The case where evaluating suitable for net about driver, the mode which can be used software and/or hardware is realized, which can integrate in office
What is provided in the net about equipment of the function of driver's evaluation, as shown in figure 3, the net about driver's evaluating apparatus specifically includes: acquisition
Module 310, determining module 320 and evaluation module 330.
Wherein, acquisition module 310, for acquiring vision data, voice data, odor data and information of vehicles；
Determining module 320, for determining net according to the vision data, voice data, odor data and information of vehicles
The about information on services of driver；
Evaluation module 330, for carrying out overall merit to the net about driver according to the information on services.
Optionally, further includes:
Judgment module, for judging whether the information on services meets default alert condition；
Reminding module, if meeting default alert condition for the information on services, according to the information on services to described
Net about driver reminds.
Optionally, determining module is specifically used for:
Image recognition is carried out to the vision data；
Speech recognition is carried out to the voice data；
Odor identification is carried out to the odor data；
The information of vehicles is carried out to drive comfort level identification；
The violation information of service environment information and net about driver are determined according to recognition result.
Optionally, evaluation module is specifically used for:
Overall merit is carried out to the net about driver according to the violation information of the service environment information and net about driver.
Optionally, determining module is also used to:
The emotional information of net about driver, the emotional information and driving security information of passenger are determined according to recognition result.
Optionally, evaluation module is also used to:
According to the service environment information, the violation information of net about driver, the emotional information of net about driver, passenger mood
Information and driving security information carry out overall merit to the net about driver.
Optionally, the information on services includes: that net about driver identification information, net about driver driving information, net are about driver and wear
The outer and/or interior ceremony action message of information, net about driver's vehicle, the number information of passenger, passenger gender information, passenger status
Information, special Customer information, vehicle hygienic state information, passenger leave object information, Vehicle preparation status information, vehicle dynamic
At least one of comfort information and vehicle static comfort information.
Method provided by any embodiment of the invention can be performed in the said goods, has the corresponding functional module of execution method
And beneficial effect.
The technical solution of the present embodiment passes through acquisition vision data, voice data, odor data and information of vehicles；Root
The information on services of net about driver is determined according to the vision data, voice data, odor data and information of vehicles；According to the clothes
Information of being engaged in carries out overall merit to the net about driver, carries out more comprehensive evaluation to net about driver to realize, and then pass through
The service of the form supervision net about driver of evaluation, promotes the service quality of net about driver.
Example IV
Fig. 4 is the structural schematic diagram of one of the embodiment of the present invention four computer equipment.Fig. 4, which is shown, to be suitable for being used in fact
The block diagram of the exemplary computer device 12 of existing embodiment of the present invention.The computer equipment 12 that Fig. 4 is shown is only one and shows
Example, should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in figure 4, computer equipment 12 is showed in the form of universal computing device.The component of computer equipment 12 can be with
Including but not limited to: one or more processor or processing unit 16, system storage 28 connect different system components
The bus 18 of (including system storage 28 and processing unit 16).
Bus 18 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts
For example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC)
Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.
Computer equipment 12 typically comprises a variety of computer system readable media.These media can be it is any can be by
The usable medium that computer equipment 12 accesses, including volatile and non-volatile media, moveable and immovable medium.
System storage 28 may include the computer system readable media of form of volatile memory, such as arbitrary access
Memory (RAM) 30 and/or cache memory 32.Computer equipment 12 may further include it is other it is removable/can not
Mobile, volatile/non-volatile computer system storage medium.Only as an example, storage system 34 can be used for reading and writing not
Movably, non-volatile magnetic media (Fig. 4 do not show, commonly referred to as " hard disk drive ").It although not shown in fig 4, can be with
The disc driver for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") is provided, and non-volatile to moving
The CD drive of CD (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driving
Device can be connected by one or more data media interfaces with bus 18.Memory 28 may include that at least one program produces
Product, the program product have one group of (for example, at least one) program module, these program modules are configured to perform of the invention each
The function of embodiment.
Program/utility 40 with one group of (at least one) program module 42 can store in such as memory 28
In, such program module 42 includes --- but being not limited to --- operating system, one or more application program, other programs
It may include the realization of network environment in module and program data, each of these examples or certain combination.Program mould
Block 42 usually executes function and/or method in embodiment described in the invention.
Computer equipment 12 can also be with one or more external equipments 14 (such as keyboard, sensing equipment, display 24
Deng) communication, can also be enabled a user to one or more equipment interact with the computer equipment 12 communicate, and/or with make
The computer equipment 12 any equipment (such as network interface card, the modulatedemodulate that can be communicated with one or more of the other calculating equipment
Adjust device etc.) communication.This communication can be carried out by input/output (I/O) interface 22.In addition, the calculating in the present embodiment
Machine equipment 12, display 24 exist not as independent individual, but are embedded in mirror surface, not aobvious in the display surface of display 24
When showing, the display surface of display 24 visually combines together with mirror surface.Also, computer equipment 12 can also be suitable by network
Orchestration 20 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network, such as internet)
Communication.As shown, network adapter 20 is communicated by bus 18 with other modules of computer equipment 12.It should be understood that the greatest extent
Pipe is not shown in the figure, and other hardware and/or software module can be used in conjunction with computer equipment 12, including but not limited to: micro- generation
Code, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and data backup are deposited
Storage system etc..
Processing unit 16 by the program that is stored in system storage 28 of operation, thereby executing various function application and
Data processing, for example, realize the embodiment of the present invention provided by net about driver's evaluation method: acquisition vision data, voice data,
Odor data and information of vehicles；Determine that net is about taken charge of according to the vision data, voice data, odor data and information of vehicles
The information on services of machine；Overall merit is carried out to the net about driver according to the information on services.
Embodiment five
The embodiment of the present invention five provides a kind of computer readable storage medium, is stored thereon with computer program, the journey
The net about driver's evaluation method provided such as all inventive embodiments of the application: acquisition vision number is provided when sequence is executed by processor
According to, voice data, odor data and information of vehicles；Believed according to the vision data, voice data, odor data and vehicle
Cease the information on services for determining net about driver；Overall merit is carried out to the net about driver according to the information on services.
It can be using any combination of one or more computer-readable media.Computer-readable medium can be calculating
Machine readable signal medium or computer readable storage medium.Computer readable storage medium for example can be --- but it is unlimited
In system, device or the device of --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or any above combination.It calculates
The more specific example (non exhaustive list) of machine readable storage medium storing program for executing includes: electrical connection with one or more conducting wires, just
Taking formula computer disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable type may be programmed read-only storage
Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device,
Or above-mentioned any appropriate combination.In this document, computer readable storage medium can be it is any include or storage journey
The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including --- but
It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be
Any computer-readable medium other than computer readable storage medium, which can send, propagate or
Transmission is for by the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In --- wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
It further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.In
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of net about driver's evaluation method characterized by comprising
Acquire vision data, voice data, odor data and information of vehicles；
The information on services of net about driver is determined according to the vision data, voice data, odor data and information of vehicles；
Overall merit is carried out to the net about driver according to the information on services.
2. the method according to claim 1, wherein further include:
Judge whether the information on services meets default alert condition；
If the information on services meets default alert condition, the net about driver is reminded according to the information on services.
3. the method according to claim 1, wherein according to the vision data, voice data, odor data with
And information of vehicles determines that the information on services of net about driver includes:
Image recognition is carried out to the vision data；
Speech recognition is carried out to the voice data；
Odor identification is carried out to the odor data；
The information of vehicles is carried out to drive comfort level identification；
The violation information of service environment information and net about driver are determined according to recognition result.
4. according to the method described in claim 3, it is characterized in that, being carried out according to the information on services to the net about driver comprehensive
Closing evaluation includes:
Overall merit is carried out to the net about driver according to the violation information of the service environment information and net about driver.
5. according to the method described in claim 3, it is characterized by further comprising:
The emotional information of net about driver, the emotional information and driving security information of passenger are determined according to recognition result.
6. according to the method described in claim 5, it is characterized in that, being carried out according to the information on services to the net about driver comprehensive
Closing evaluation includes:
According to the service environment information, the violation information of net about driver, the emotional information of net about driver, passenger emotional information
And it drives security information and overall merit is carried out to the net about driver.
7. the method according to claim 1, wherein the information on services includes: net about driver identification information, net
About driver driving information, net about driver wear the outer and/or interior ceremony action message of information, net about driver's vehicle, the number of passenger
Information, passenger gender information, passenger status information, special Customer information, vehicle hygienic state information, passenger leave object letter
At least one of breath, Vehicle preparation status information, vehicle dynamic comfort information and vehicle static comfort information.
8. a kind of net about driver's evaluating apparatus characterized by comprising
Acquisition module, for acquiring vision data, voice data, odor data and information of vehicles；
Determining module, for determining net about driver's according to the vision data, voice data, odor data and information of vehicles
Information on services；
Evaluation module, for carrying out overall merit to the net about driver according to the information on services.
9. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor realizes the side as described in any in claim 1-7 when executing described program
Method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The method as described in any in claim 1-7 is realized when execution.
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