CN103448727A - System and method for monitoring and distinguishing evaluation of vehicle driving habits - Google Patents
System and method for monitoring and distinguishing evaluation of vehicle driving habits Download PDFInfo
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Abstract
A system and method for monitoring and distinguishing evaluation of vehicle driving habits can be used for monitoring, distinguishing evaluation and real-time warning on bad habits of drivers, can drive the drivers to gradually cultivate good driving habits and eliminate traffic accidents, vehicle faults and potential health hazards. Serving as an expanding application of the system, an evaluation result of the system can be utilized by vehicle operation enterprises to perform staged comprehensive evaluation on the driving habits of the operation drivers and establish driver reputation grade ranking, and have practical value of great significance. The system comprises hardware and software, the hardware is composed of a microprocessor unit, a state detection unit, a data storage unit, a voice alarm unit, a touch screen input and display unit and a power supply unit; and the software is embedded software and comprises a main program, a timing interruption processing program, an event trigger interrupt handing program, a power fail interrupt handling program and a parameter configuration interrupt handling program.
Description
Technical field:
The detection and differentiation appraisal procedure that the present invention relates to the monitoring of a kind of vehicle security drive custom, differentiate evaluating system and adopt.
Background technology:
Flourish along with Domestic Automotive Industry, the family that urban and rural residents have a car expands rapidly, and the custom of driving that steerman is bad, can cause the healthy hidden danger of hidden peril of accident, vehicle trouble hidden danger and occupant.As bad light is used and the steering indicating light meeting of use initiation traffic accident; Bad vehicle launch, brake operating can cause vehicle trouble; The driving of long-time sealing vehicle window can cause anoxic in car to affect occupant's health etc.The present invention can realize the custom of the bad steering in steerman steering vehicle process is detected, assesses and warns, and impels steerman to change in time driving behavior improperly, progressively forms good driving habit; For the enterprise customer, the evaluation that can carry out the examination of driving habit overall qualities and drive degrees of comparison the operation navigating mate, have extremely important practical value.
Summary of the invention:
The purpose of this invention is to provide a kind of monitoring and the detection of differentiating evaluating system and adopting and differentiation appraisal procedure of the driving habit to steerman.Native system is built-in applied system, comprises hardware and software.At first by the monitoring to vehicle correlation behavior and surrounding environment in the vehicle drive process, extract the driving habit characteristic parameter, comprise car light state, vehicle launch state, steering state, vehicle window state, parking brake location status, range state, seat belt status; External environment light luminance, automobile driving speed, vehicle steering angle; Blow a whistle state, the state that jolts, vehicle powering state, starting state; Build the driving habit assessment models, comprise light transformation reasonableness discrimination model, steering operation reasonableness discrimination model, fatigue driving discrimination model, seatbelt wearing discrimination model, braking during standstill reasonableness discrimination model, the discrimination model of driving rashly, the ventilation reasonableness discrimination model of windowing, utilize the various driving habits that corresponding discrimination model is driven to steerman to carry out discriminant classification and storage, bad driving habit is carried out to Real-time Alarm, demonstration, and can carry out stage by stage comprehensive assessment, assessment result can be shown, be exported.
The specific embodiment:
This hardware as shown in Figure 1.Mainly by microprocessor unit, touch-screen input and demonstration output unit, historical evaluation data storage cell, state detection unit, phonetic warning unit, power supply unit, formed.
HA microprocessor unit structure as shown in Figure 2.Mainly comprise the parts such as HA-1 microprocessor, HA-2 program store, HA-3 random access memory and HA-4 peripheral control decision circuit thereof, the HA-1 microprocessor is supported the dormancy mode of operation of low-power consumption, is the core cell of native system.The main initialization realized system, control and monitoring data to the vehicle-state monitoring means read, the discriminant classification of driving habit and comprehensive assessment, the accessing operation of differentiation, assessment data, control the steerman driving habit is shown and the alarm mode according to differentiation, assessment result, what reception HF-4 power supply state testing circuit was sent into powers up and power-off signal, wakes and enter the trigger event of low-power consumption park mode up as treater.
HB state detection unit structure as shown in Figure 3.Be mainly used in monitoring the various status informations of automobile, by switching value, data volume, counting statistics, timing trigging pulse, 14 kinds of status informations of vehicle monitored respectively, to obtain the driving habit characteristic parameter.HB-1 car light condition monitoring circuit, HB-2 vehicle launch condition monitoring circuit, HB-3 pole changer condition monitoring circuit, HB-4 vehicle window condition monitoring circuit, HB-5 parking brake location status observation circuit, HB-6 range state observation circuit, HB-7 seat belt status observation circuit are exported respectively each quantity of state; HB-8 external environment light luminance observation circuit, HB-9 automobile driving speed observation circuit, HB-10 vehicle steering angle observation circuit are exported respectively the data after analogue to digital conversion; HB-11 observation circuit and the HB-12 observation circuit that jolts of blowing a whistle is exported respectively the counting statistics data; The timing stamp that the signals such as HB-13 vehicle powering state observation circuit, HB-14 starting state, HB-3 pole changer state produce.
HB-1 car light condition monitoring circuit: the characteristic parameters such as open/close state that obtain fog lamp state, passing light, country beam;
HB-2 vehicle launch condition monitoring circuit: the characteristic parameter such as starting state of vehicle launch/not;
HB-3 pole changer condition monitoring circuit: the characteristic parameters such as left steering, right steering, nothing turn to, two sudden strain of a muscle states;
HB-4 vehicle window condition monitoring circuit: take general car as example, comprise the characteristic parameters such as contract fully/opening in left front window, right front window, left back window, right back window, skylight;
HB-5 parking brake location status observation circuit: obtain parking brake pull-up/down state characteristic parameter;
HB-6 range state observation circuit: the automatic speed changing type car of take is example, comprises the characteristic parameters such as P shelves, R shelves, N shelves, D shelves, S shelves state;
HB-7 seat belt status observation circuit: obtain the driver's seat safety strap and detain/do not detain characteristic condition parameter;
HB-8 external environment light luminance observation circuit: by the luminance sensor brightness value, according to the fuzzy discrimination method, be divided into street lamp at complete black, night, dusk and 4 kinds of external environment light luminance characteristic parameters such as relative status in the daytime;
HB-9 automobile driving speed observation circuit: Negotiation speed sensor acquisition speed value, and be divided into according to the fuzzy discrimination method speed of a motor vehicle states such as stopping state, low speed state, middling speed state, high speed state, obtain moving velocity value and speed of a motor vehicle characteristic condition parameter;
HB-10 vehicle steering angle observation circuit; Obtain vehicle corner value by angular transducer, according to the fuzzy discrimination method, be divided into the craspedodrome state, the vehicle steering angle characteristic condition parameters such as left-hand rotation state, right-hand rotation state;
The HB-11 number of times observation circuit of blowing a whistle: by being counted blowing a whistle, obtain the number of times characteristic parameter of blowing a whistle;
The HB-12 number of times observation circuit that jolts: by displacement pickup, according to the threshold values of sensor settings, the number of times that jolts that vehicle in the set time is greater than to threshold values is added up, and obtains the vehicle characteristic condition parameter that jolts;
HB-13 vehicle powering state observation circuit: obtain vehicle energising/off-position characteristic parameter;
HB-14 starting state observation circuit: obtain vehicle to start/starting state characteristic parameter not.
HC data storage cell structure as shown in Figure 4.Comprise that HC-1 memory card interface and HC-2 storage card form, for saved system parameter configuration data, historical differentiation data and assessment data, alarm speech data.In the time of can realizing the driving habit of steerman is differentiated to fructufy, preserve, in evaluation stage, system reads historical differentiation result and carries out comprehensive assessment, and assessment result is saved in to storage card in real time.Storage card adopts as general FLASH storage mediums such as SD cards, can realize easily loading and the unloading operation of storage card.For car operation enterprise, the assessment data of uploading the operation steerman that can be regular, as expanded application, can realize the foundation to the comprehensive assessment of driving habit stage and examination and the evaluation of driving degrees of comparison of steerman.
HD phonic warning unit forms design as shown in Figure 5.The main realization carried out the report of phonic warning and assessment result to the real time discriminating result of bad steering custom.Comprise HD-1 interface circuit, HD-2 loudspeaker driving circuit and HD-3 loud speaker.System, according to differentiating result or assessment level, is extracted the alarm speech data from the storage card VoP, is sent to the phonic warning unit and carries out the warning information report.
HE touch-screen input and display unit form design as shown in Figure 6, comprise that HE-1 keyboard input interface, HE-2 show output interface and HE-3 touch screen LED module.Realize the keyboard input of system and show output.The keyboard input is mainly used in the man-machine interaction of system and sets, and as the time is set, automobile parameter is set, system works pattern setting etc., and the system parameter configuration information deposits in the storage card of data storage cell.Show that output moves necessary status information for showing differentiation result, warning information, assessment result, man-machine interaction set information, native system.
The HF power supply unit forms design as shown in Figure 7.For total system provides the work power supply, in normal mode of operation, system adopts the vehicular power-bottle power supply, and at the dormancy mode of operation, microprocessor adopts lithium battery power supply.Power supply unit comprises HF-1 charging and discharging lithium battery change-over circuit, HF-2 standby lithium cell and power supply voltage change-over circuit, and HF-3 vehicular power-bottle power-supply circuit, HF-4 are for power detection circuit and HF-5 power supply voltage change-over circuit.After automobile powers up, HF-4 provides and powers up energizing signal wake up process device for power detection circuit, treater proceeds to normal mode of operation by park mode, total system is powered by the HF-3 vehicular power-bottle, the HF-2 lithium cell transfers charge mode to, and after system power failure, HF-4 sends the power down energizing signal for power detection circuit, microprocessor is proceeded to the park mode of low-power consumption by mode of operation, the HF-2 lithium cell maintains the dormant state of microprocessor in putting dotted state.
System software involved in the present invention is partly embedded software, the microprocessor operation of selecting in microprocessor unit.Be divided into main program and interrupt handling routine.Main program power up wake up or system reset after, mainly carry out system initialization configuration, historical comprehensive assessment result treatment, driving habit discriminant classification, Real-time Alarm and demonstration and form; Interrupt handling routine comprises that Interruption, Event triggered are interrupted, outage is interrupted, parameter configuration is interrupted.Interruption, Event triggered interruption mainly complete the driving habit feature and obtain, and the driving habit comprehensive assessment has been interrupted in outage and the system hibernates state enters, and parameter configuration is interrupted the setting parameter of completion system.
Native system embedded software main program flow as shown in Figure 8.
SA-1 powers up and wakes up or while resetting, system enters the initialization flow process at once.
The configuration of SA-2 system initialization is mainly used to carry out the initialization of system operational parameters, as initialization, memory card interface initialization, the setting of system initial value, the initial condition setting of interface circuit.
The historical comprehensive assessment result treatment of SA-3, be mainly used to last time system acquisition the driving habit assessment result processed, by shows/sound prompt function of SD, exported, with the notice of prompting chaufeur in this driving procedure.
SA-4 driving habit discriminant classification, SA-4 driving habit discriminant classification treatment scheme as shown in Figure 9.According to the driving habit characteristic parameter obtained, adopt the driving habit discrimination model designed in the present invention, carry out the judgement of driving habit.
SA-4-1 light transformation reasonableness discrimination model: according to the power of the extraneous light of Real-Time Monitoring, the judgement steerman is used the reasonableness of car light, as whether opened in the daytime light, whether opens flank indicator at dusk, whether has unreasonable country beam etc.
This discrimination model adopts HB-1 car light state parameter (fog lamp, flank indicator, passing light, country beam), HB-8 external environment light luminance characteristic parameter (night street lamp, complete black) in the daytime, at dusk, to carry out the combinatory logic differentiation, decision rule adopts truth table to differentiate, and following table is depicted as the light transformation reasonableness decision rule example under day inter mode.
SA-4-2 seatbelt wearing discrimination model: mainly pass judgment on steerman wear safety belt whether rationally when steering vehicle.
This discrimination model adopts HB-9 speed state characteristic parameter (stopping state, low speed state, middling speed state, high speed state) and HB-7 driver's seat seat belt status (detain, do not detain) characteristic parameter to carry out the combinatory logic differentiation, and decision rule is as shown in the table.
Whether SA-4-3 steering operation reasonableness discrimination model: according to the handling maneuver of vehicle and the state of steering indicating light, the judgement steerman is used the reasonableness of car light, as vehicle turn signal is used, with actual vehicle, turn to unanimously, and whether steering indicating light use time length is reasonable etc.
At first this discrimination model needs to set a rational steering indicating light and uses maximum time (Fz_zxd) for example, as decision threshold (60 seconds).Adopt HB-3 pole changer state (left steering, right steering, without turning to, two sudden strain of a muscle state), HB-10 to adopt vehicle steering angle (craspedodrome state, left-hand rotation state, right-hand rotation state) and HB-9 automobile driving speed characteristic parameter (stopping state, low speed state, middling speed state, high speed state) characteristic parameter to steering indicating light, use the logic reasonableness to carry out the combinatory logic judgement, draw judged result (Logic_A); The steering indicating light that employing is triggered by HB-3 pole changer characteristic condition parameter is used time length (Time_zxd) and setting Fz_zxd threshold values to compare.Logic_A and steering indicating light are used relatively result composition logical expression calculating steering operation reasonableness result (Result_zxd) of time length.The combinatory logic judgement adopts truth table to differentiate, and following table is depicted as the decision rule example under the left steering state.
Steering operation reasonableness decision rule expression formula is:
Result_zxd＝Logic_A?and(Fz_zxd-Time_zxd)
When Result_zxd is "True", show that steering operation is reasonable, during for " vacation ", show that steering operation is unreasonable.
SA-4-4 braking during standstill reasonableness discrimination model: by parking brake position and range state, judge whether steerman rationally uses the braking during standstill parking brake, during as Parking, forget pull the hand brake, while driving a vehicle, parking brake such as does not discharge at the phenomenon.
This discrimination model adopts HB-5 parking brake location status (pull-up, put down), HB-6 range state (P shelves, R shelves, N shelves, D shelves, S shelves state) and HB-9 speed state (stopping state, low speed state, middling speed state, high speed state) characteristic parameter to carry out the combinatory logic judgement, decision rule adopts truth table to differentiate, and following table is depicted as braking during standstill reasonableness decision rule example.
The SA-4-5 ventilation reasonableness discrimination model of windowing: according to the vehicle window condition monitoring, the ventilation operation that judges whether to be windowed for a long time causes in car in anaerobic condition.
This discrimination model at first need to set one reasonably the high point window time (Fz_kchq) for example, as decision threshold (2 hours), start and start to detect the vehicle window state from system power-up, from all vehicle windows being detected first, be that full closeding state starts time-count cycle one time, calculate the time length (Time_kchq) of vehicle window closed state, to actv. being detected, window after ventilation (to get rid of the of short duration action of windowing) operation, finish this time-count cycle.Employing Fz_kchq and Time_kchq relatively obtain the ventilation reasonableness of windowing and differentiate result (Result_kchq), and decision rule is as follows:
Result_kchq＝IF(Fz_kchq-Time_kchq)
When Result_kchq is "True", show to window the ventilation custom rationally, during for " vacation ", the ventilation custom that shows to window is unreasonable.
SA-4-6 fatigue driving discrimination model: by detecting continuous driving time, judge that whether the continuous driving time of steerman is reasonable, whether have the fatigue driving phenomenon.
At first this discrimination model for example needs to set a rational maximum driving time (Fz_pljs) continuously, as decision threshold (4 hours), start time-count cycle from vehicle launch, calculate continuous driving time (Time_pljs), after effective stagnation of movement (of short duration flame-out to get rid of vehicle) operation being detected, finish this time-count cycle.Adopt Fz_lxjs and Time_lxjs relatively to obtain fatigue driving and differentiate result (Result_pljs), decision rule is as follows:
Result_pljs＝IF(Fz_pljs-Time_pljs)
When Result_pljs is "True", show without the fatigue driving phenomenon, during for " vacation ", show to exist fatigue driving.
The SA-4-7 discrimination model of driving rashly: driving rashly to differentiate comprises that crude and rash the startup differentiate and the hypervelocity driving of jolting, crude and rash start to differentiate mainly judge whether steerman exists and wait for that the vehicle self check completes and just start by force vehicle, hypervelocity is jolted to drive and is differentiated the main whether phenomenon of too fast driving vehicle whether under severe road conditions of steerman of differentiating.
Differentiate crude and rash the startup and for example at first need to set the shortest self check time of rational vehicle (Fz_lmqd), as decision threshold (5 seconds), start timing from vehicle energising (being system power-up), start and stop timing to vehicle ignition, calculate the actual self check time of vehicle (Time_lmqd).Adopt Fz_lmqd and Time_lmqd relatively to obtain crude and rash the startup and differentiate result (Result_lmqd), decision rule is as follows:
Result_lmqd＝IF(Time_lmqd-Fz_lmqd)
When Result_lmqd is "True", show during for " vacation ", to show to exist crude and rash start-up operation without the crude and rash phenomenon that starts.
At first differentiating exceeds the speed limit jolts to drive needs to set reasonably a jolt-velocity ratio (Fz_lmzs) as decision threshold, adopt jolt characteristic condition parameter (Data_db) and HB-9 moving velocity value (Data_sd) of HB-12 to carry out after ratio calculation relatively obtaining hypervelocity with Fz_lmzs and jolt and drive differentiation result (Result_dbjs), decision rule is as follows:
Result_dbjs＝IF(Fz_lmzs-(Data_db/Data_sd))
When Result_dbjs is "True", show without the driving phenomenon of jolting that exceeds the speed limit, during for " vacation ", show to have the driving of jolting that exceeds the speed limit.
SA-5 differentiates hold function as a result and realizes the result of SA-4 driving habit discriminant classification is stored, for the sampled data of driving habit comprehensive assessment.When bad judgement appears in certain class driving habit, preserve this result of determination in storage card.
The Interruption treatment scheme as shown in figure 10.Interruption triggers interrupt event by timer, in interrupt handling routine, complete HB-15 switching value interface, HB-16 digital to analogy conversion interface, HB-17 counting machine interface obtain as the driving habit characteristic parameter 12 in the vehicle-state monitoring data, as the criterion of SA-4 driving habit discriminant classification, within each second simultaneously, interrupt upgrading once second counting.
Event triggered is interrupted treatment scheme as shown in figure 11.Event triggered interrupts changing to trigger by vehicle-state interrupting, and native system adopts HB-13 vehicle powering state signal, HB-2 vehicle launch status signal, HB-14 Vehicle Driving Cycle signal, HB-3 steering indicating light status signal as interrupt event.HB-13 vehicle powering state signal, HB-2 vehicle launch status signal as the start and stop event interrupt source that powers up timing, obtain automobile from powering up to the time delay started respectively thus.HB-14 Vehicle Driving Cycle signal, as the startup event interrupt source of running car, obtains the timing time point that travels.The variation of HB-3 steering indicating light status signal, as the start and stop event interrupt source of steering indicating light use, is obtained the practical duration of each steering indicating light.
Outage is interrupted treatment scheme as shown in figure 12.The signal provided by HF4 power supply state observation circuit is as power cut-off incident interrupt source, show that this driving finishes, system judges that to the driving habit recorded in this driving procedure record carries out comprehensive assessment, and, after preserving assessment result, microprocessor is set and enters the low-power consumption park mode.
Parameter configuration is interrupted treatment scheme as shown in figure 13.The user can manual trigger parameter configure interrupt event, and native system will enter parameter configuration mode, and the user can be by the setting of HE touch-screen input and display unit completion system parameter.After system parameter is preserved, impel system to enter reset mode.
The accompanying drawing explanation:
Fig. 1: system hardware composition frame chart
Fig. 2: microprocessor unit forms
Fig. 3: state detection unit forms
Fig. 4: data storage cell forms
Fig. 5: the phonic warning unit forms
Fig. 6: touch-screen input and display unit form
Fig. 7: power supply unit forms
Fig. 8: main program flow
Fig. 9: driving habit discriminant classification flow process
Figure 10: Interruption treatment scheme
Figure 11: Event triggered is interrupted treatment scheme
Figure 12: treatment scheme is interrupted in outage
Figure 13: parameter configuration is interrupted treatment scheme
Claims (6)
1. vehicular drive custom monitoring and differentiation evaluating system, its composition comprises hardware and software, it is characterized in that: system is embedded system, software is the embedded software operated in selected hardware microprocessor.
2. system according to claim 1, its hardware forms and comprises: microprocessor unit, state detection unit, data storage cell, phonic warning unit, touch-screen input and display unit, power supply unit, it is characterized in that: microprocessor unit is core cell, the operation embedded software; Various 14 kinds of car status information of Condition Monitoring Unit monitoring automobile, to obtain the driving habit characteristic parameter; Data storage cell adopts the FLASH storage card, for saved system parameter configuration data, historical differentiation data and assessment data, alarm speech data; The phonic warning unit is realized the real time discriminating result of bad steering custom is carried out to the report of phonic warning and assessment result; Touch-screen input and display unit are realized system parameter setting input, differentiate the man-machine interactive operation such as demonstration of result, assessment result, state of the system and keyboard input information; Power supply unit provides the work power supply for total system, and in normal mode of operation, system adopts the vehicular power-bottle power supply, and at the dormancy mode of operation, microprocessor adopts lithium battery power supply.
3. system according to claim 1, its software forms and comprises: main program and interrupt handling routine; It is characterized in that: main program power up wake up or system reset after, mainly carry out system initialization configuration, historical comprehensive assessment result treatment, driving habit discriminant classification, Real-time Alarm and demonstration and form; Interrupt handling routine comprises that a second Interruption, Event triggered are interrupted, outage is interrupted, parameter configuration is interrupted; Second Interruption, Event triggered are interrupted mainly completing the driving habit feature and are obtained, and the driving habit comprehensive assessment has been interrupted in outage and the system hibernates state enters, the setting parameter of parameter configuration interruption completion system.
4. claim 1 or 2 or 3 monitorings of described vehicular drive custom and differentiation appraisal procedure, it is characterized in that: by the monitoring to vehicle correlation behavior and surrounding environment in the vehicle drive process, extract the driving habit characteristic parameter, build the driving habit assessment models, utilize the various driving habits that corresponding discrimination model is driven to steerman to carry out discriminant classification and storage, bad driving habit is carried out to Real-time Alarm, demonstration, and can carry out stage by stage comprehensive assessment, assessment result can be shown, be exported.
5. the driving habit characteristic parameter used in the described monitoring of claim 4 and differentiation appraisal procedure comprises: car light state, vehicle launch state, steering state, vehicle window state, parking brake location status, range state, seat belt status; External environment light luminance, automobile driving speed, Vehicular turn corner; Blow a whistle state, the state that jolts, vehicle powering state, starting state, it is characterized in that: the car light state has the open/close state parameter of fog lamp state, passing light, country beam; The vehicle launch state has vehicle launch, starting state parameter not; The pole changer state has left steering, right steering, without turning to, two sudden strain of a muscle state parameter; Vehicle window state (general car is example) has the contract fully in left front window, right front window, left back window, right back window, skylight/opening parameter; Pulled/down state of parking brake location status parameter; Range state (automatic speed changing type car is example) has P shelves, R shelves, N shelves, D shelves, S shelves state parameter; Seat belt status has detains/does not detain state parameter; External environment light luminance pattern adopts the fuzzy discrimination method that street lamp at complete black, night, dusk and are in the daytime arranged; The automobile driving speed pattern adopts the fuzzy discrimination method to be divided into to stop state, low speed state, middling speed state, high speed state; Vehicular turn corner state adopts the fuzzy discrimination method to be divided into the craspedodrome state, left-hand rotation state, right-hand rotation state; The number of times of blowing a whistle adopts statistic law to obtain the number of times parameter of blowing a whistle; The number of times that jolts adopts vehicle in the set time to be greater than the number of times statistic law of jolting of threshold values, obtains the vehicle characteristic condition parameter that jolts; The vehicle powering state has power up/power-down state of storage battery characteristic parameter; Starting state has start/starting state not.
6. the driving habit assessment models of using in the described monitoring of claim 4 and differentiation appraisal procedure comprises: light transformation reasonableness discrimination model, steering operation reasonableness discrimination model, the fatigue driving discrimination model, the seatbelt wearing discrimination model, braking during standstill reasonableness discrimination model, the discrimination model of driving rashly, the ventilation reasonableness of windowing discrimination model, it is characterized in that: light transformation reasonableness discrimination model, power according to the extraneous light of Real-Time Monitoring, the judgement steerman is used the reasonableness of car light, adopt car light state parameter (fog lamp, flank indicator, passing light, country beam), with external environment light luminance mode parameter (in the daytime, at dusk, night street lamp, complete deceiving) carry out the combinatory logic differentiation, method of discrimination adopts the truth table diagnostic method, the seatbelt wearing discrimination model, pass judgment on steerman wear safety belt whether rationally when steering vehicle, adopt speed state parameter (stopping state, low speed state, middling speed state, high speed state) and driver's seat seat belt status (detain, do not detain) parameter to carry out the combinatory logic differentiation, decision rule adopts the truth table diagnostic method, steering operation reasonableness discrimination model, according to the handling maneuver of vehicle and the state of steering indicating light, the judgement steerman is used the reasonableness of steering indicating light, adopt pole changer state (left steering, right steering, without turning to, two sudden strain of a muscle state), vehicle steering angle (craspedodrome state, left-hand rotation state, right-hand rotation state) and speed state parameter (stopping state, low speed state, middling speed state, high speed state) carry out the combinatory logic judgement, adopt the truth table diagnostic method to show that steering indicating light is used the logic judged result, and use time length threshold values and the actual period of service that continues to compare differentiation according to steering indicating light, the braking during standstill discrimination model, adopt parking brake location status (pull-up, put down), range state (P shelves, R shelves, N shelves, D shelves, S shelves state) and speed state parameter (stopping state, low speed state, middling speed state, high speed state) to carry out the combinatory logic judgement, method of discrimination employing truth table diagnostic method, the ventilation reasonableness discrimination model of windowing, travel time length length under middle full closeding state and the threshold values of setting of collection vehicle compares differentiation, the fatigue driving discrimination model, compare differentiation by the time threshold values that detects continuous driving time and setting, the discrimination model of driving rashly: the automobile by statistics compares differentiation from the time gap that is energized to startup with the threshold values of setting, adopts jolt state parameter and Vehicle Speed to carry out comparing differentiation with the ratio of setting after ratio calculation.
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