CN109782777A - A kind of anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision - Google Patents
A kind of anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision Download PDFInfo
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- CN109782777A CN109782777A CN201910247645.8A CN201910247645A CN109782777A CN 109782777 A CN109782777 A CN 109782777A CN 201910247645 A CN201910247645 A CN 201910247645A CN 109782777 A CN109782777 A CN 109782777A
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- slave
- tired
- integrated machine
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- anticollision
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Abstract
The present invention relates to the technical field that Internet of Things is applied in carrier, the anti-tired integrated machine equipment fault remote automatic diagnosis method of specially a kind of anticollision.The present invention uses master-slave equipment mode, host is extracted and is judged to monitored results I and monitored results II by corresponding image procossing and recognizer, judging result is sent in database, by Internet of Things vehicle control system after being compared in the database, speed is actively reduced to vehicle progress and avoids vehicle collision or real-time prompting driver from preventing fatigue driving using other supplementary means.A kind of anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision of the present invention, fault remote is carried out using principal and subordinate's integrated machine equipment to diagnose automatically, the careful error rate of logic is low, it can be realized and be rapidly performed by daily periodic diagnosis warping apparatus, due to being principal and subordinate's judgement, have more general values and reusability.
Description
Technical field
The present invention relates to the technical field that Internet of Things is applied in carrier, the anti-tired all-in-one machine of specially a kind of anticollision
Equipment fault remote auto diagnostic method.
Background technique
With the fast development of domestic logistics industry, based on internet-of-things terminal equipment using positive iterative method to each
On haulage vehicle.Internet of Things is by technical ability such as sensor, radio frequency identification technical ability, global positioning systems, and acquisition is any required in real time
Monitoring, connection, the object of interaction or process, acquire the various needs such as its sound, light, heat, electricity, mechanics, chemistry, biology, position
Information realizes that object and object, object are linked with the ubiquitous of people, realizes the intelligence to article and process by all kinds of possible network insertions
Energy allelopathic is known, identifies and is managed.From the perspective of from logistics level, the appearance of Internet of Things technical ability has agreed with logistic industry itself well.
This technical ability can preferably liberate the manpower of logistic industry, and can logistics preferably be managed and be tracked, and obtain most
Good result.
Internet of Things is relied on, accounting for inner rate by the market of intelligent algorithm automatic driving vehicle will be increasing, and conduct
" ADAS " and " DFMS " for driving auxiliary nucleus module is then using vehicle-mounted all kinds of sensors, in running car
Incude the environment of surrounding at any time in the process, collect data, carries out static state, the identification of dynamic object, detecting and tracking, and combine
Navigator map datum, carries out the operation and analysis of system, to allow driver to perceive the danger that may occur in advance, effectively
Increase the comfortableness and security of car steering.
The problem of sci-tech product of innovation brings innovation, conventionally, as auxiliary, which drives, still belongs to Environment Science
Product, and not formed standardized system, system may will fail in many cases, such as see shadow with regard to too cautious
Braking；Such as sensor can not detect lane line, and turn to road shoulder etc., hardware device easily goes wrong, diagnostic accuracy
Reduce etc., if how guarantee equipment normal operation effectively, accurately, stable, grasp equipment fault situation and ask as intractable
Topic, and miscellaneous function mostly important in driving is anticollision and prevents driver tired driving.
Therefore, it is badly in need of a kind of anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision, to meet in vehicle
Vehicle collision is prevented in driving process, while energy real-time prompting driver prevents the needs that fatigue driving is caused danger.
Summary of the invention
The purpose of the present invention is to provide a kind of anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision, with
Solve it is mentioned above in the background art prevent vehicle collision, while can real-time prompting driver prevent fatigue driving from causing danger
Problem, the present invention are combined by host and slave, and host, which summarizes, is transmitted general utility functions, the monitoring identification of slave ADAS anticollision
The risks of collision event such as preceding collision, spacing is excessively close, left and right deviation lane, motion collision, actively reduces speed and nondominant hand
Section, for example, by using voice prompting, indicator light prompt, the forms such as video recording and photo are implemented in acquisition prevents vehicle collision, passes through simultaneously
Anti- fatigue monitoring system monitors the face of interior driver dynamic, can capture eyes closing, yawn, smoking, the fatigues such as make a phone call
Driving behavior, real-time prompting driver, prevents fatigue driving from causing danger.
To achieve the above object, the invention provides the following technical scheme:
The anti-tired integrated machine equipment fault remote automatic diagnosis method of a kind of anticollision, using master-slave equipment mode, by slave I
Monitored results I are simultaneously fed back to host by ADAS monitoring risk of collision event, while by the anti-tired monitoring system of slave II to vehicle
Interior driver carries out face's dynamic monitoring and monitored results II is fed back to host, and host is calculated by corresponding image procossing and identification
Method extracts and judges to monitored results I and monitored results II, and judging result is sent in database, in the database into
Row passes through Internet of Things vehicle control system after comparing analysis, actively reduces speed to vehicle progress and is kept away using other supplementary means
Exempting from vehicle collision or real-time prompting driver prevents fatigue driving；
Specific step is as follows:
Step S1: judging whether equipment is principal and subordinate's integrated machine equipment according to Rule of judgment, determines host equipment, determines slave I
ADAS and the anti-tired monitoring system of slave II；
Step S2: using equipment 24 hours yesterdays of operation data and location data as basic judgment basis, whether diagnostic device is deposited
In not online exception, judging result S21, S22, S23；
S21, integrated machine equipment is not online and the last item location data reporting terminal main power source power down yesterday, is judged as that route is asked
Topic；
S22, integrated machine equipment is not online and the non-reporting terminal main power source power down of the last item location data yesterday, is judged as equipment
Problem；
S23, integrated machine equipment are online；
Step S3: after integrated machine equipment is online, the vehicle odd-numbered day travels longer than 100 kilometers, and I ADAS of slave and the anti-fatigue of slave II are supervised
Control system is likely to occur exception, and three kinds of situations are S31, S32, S33；
S31, I ADAS of slave do not alarm and the anti-tired monitoring system alarming of slave II, is judged to blocking camera, the camera shooting brilliance
Degree, camera such as are pulled out at the failure problems；
S32, I ADAS of slave alarm and the anti-tired monitoring system of slave II is not alarmed, and are determined as anti-tired camera removal, event
Barrier, Release parameter class are abnormal；
S33, I ADAS of slave, the anti-tired monitoring system of slave II are not alarmed, are determined as camera removal/failure, host event
Barrier, version or parameter problem, without speed；
Step S4: when the anti-tired monitoring system alarming of slave II is more than odd-numbered day anti-tired event overall 70% or more, judgement slave II
Anti- fatigue monitoring system is detached from monitoring；
Step S5: I ADAS of slave and the anti-tired collected all information of monitoring system of slave II are carried out by host in step
After corresponding image procossing and recognizer, it is uploaded to database, passes through Internet of Things vehicle after being compared in the database
Control system, accordingly controls vehicle.
Preferably, the Rule of judgment in the step S1 is device identification, list of devices, device name feature or servicer
One or several in type.
Preferably, it is judged as circuit question in the S21, is the one kind for artificially pulling out line or fuse, wiring loosening problem
Or several, it can be judged by the operating condition of principal and subordinate's integrated machine equipment.
Preferably, it is judged as plant issue in the S22, is the one or two of SIM card problem or hostdown, can lead to
The event data for crossing slave is judged.
Preferably, described other supplementary means for avoiding vehicle collision are real using voice prompting, indicator light prompt, acquisition
Apply the one or more of video recording and photo.
Compared with prior art, the beneficial effects of the present invention are:
1. a kind of anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision of the present invention, the exclusive diagnosis proposed
System, the careful error rate of logic is low, accurately can tell principal and subordinate's integrated machine equipment from the daily operation data effectively run
Exception；
2. a kind of anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision of the present invention, can clearly find is slave I
ADAS and the anti-tired monitoring system of slave II go wrong, and can targetedly carry out overhaul plan；
3. a kind of anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision of the present invention, the diagnosis system proposed,
So that entirely diagnosing process full automatic treatment, manpower, raising efficiency are reduced.
To sum up, the anti-tired integrated machine equipment fault remote automatic diagnosis method of a kind of anticollision of the present invention, uses
Principal and subordinate's integrated machine equipment carries out fault remote and diagnoses automatically, and the careful error rate of logic is low, can be realized to be rapidly performed by and determine daily
Phase diagnoses warping apparatus, due to being principal and subordinate's judgement, has more general values and reusability.
Detailed description of the invention
Fig. 1 is a kind of structural representation frame of the anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision of the present invention
Figure；
Fig. 2 is a kind of flow chart of the anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision of the present invention；
Fig. 3 is a kind of fault location logic of the anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision of the present invention
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
A kind of anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision, using master-slave equipment mode, by from
Monitored results I are simultaneously fed back to host by I ADAS of machine monitoring risk of collision event, while passing through the anti-tired monitoring system pair of slave II
Interior driver carries out face's dynamic monitoring and monitored results II is fed back to host, and host passes through corresponding image procossing and identification
Algorithm extracts and judges to monitored results I and monitored results II, judging result is sent in database, in the database
By Internet of Things vehicle control system after being compared, speed is actively reduced to vehicle progress and uses other supplementary means
Vehicle collision or real-time prompting driver is avoided to prevent fatigue driving；
Specific step is as follows:
Step S1: judging whether equipment is principal and subordinate's integrated machine equipment according to Rule of judgment, determines host equipment, determines slave I
ADAS and the anti-tired monitoring system of slave II；
Step S2: using equipment 24 hours yesterdays of operation data and location data as basic judgment basis, whether diagnostic device is deposited
In not online exception, judging result S21, S22, S23；
S21, integrated machine equipment is not online and the last item location data reporting terminal main power source power down yesterday, is judged as that route is asked
Topic；
S22, integrated machine equipment is not online and the non-reporting terminal main power source power down of the last item location data yesterday, is judged as equipment
Problem；
S23, integrated machine equipment are online；
Step S3: after integrated machine equipment is online, the vehicle odd-numbered day travels longer than 100 kilometers, and I ADAS of slave and the anti-fatigue of slave II are supervised
Control system is likely to occur exception, and three kinds of situations are S31, S32, S33；
S31, I ADAS of slave do not alarm and the anti-tired monitoring system alarming of slave II, is judged to blocking camera, the camera shooting brilliance
Degree, camera such as are pulled out at the failure problems；
S32, I ADAS of slave alarm and the anti-tired monitoring system of slave II is not alarmed, and are determined as anti-tired camera removal, event
Barrier, Release parameter class are abnormal；
S33, I ADAS of slave, the anti-tired monitoring system of slave II are not alarmed, are determined as camera removal/failure, host event
Barrier, version or parameter problem, without speed；
Step S4: when the anti-tired monitoring system alarming of slave II is more than odd-numbered day anti-tired event overall 70% or more, judgement slave II
Anti- fatigue monitoring system is detached from monitoring；
Step S5: I ADAS of slave and the anti-tired collected all information of monitoring system of slave II are carried out by host in step
After corresponding image procossing and recognizer, it is uploaded to database, passes through Internet of Things vehicle after being compared in the database
Control system, accordingly controls vehicle.
Further, the Rule of judgment in the step S1 is device identification, list of devices, device name feature or service
One or several in vehicle class.
Further, it is judged as circuit question in the S21, is artificially pull out line or fuse, wiring loosening problem one
Kind or several, can be judged by the operating condition of principal and subordinate's integrated machine equipment.
Further, it is judged as plant issue in the S22, is the one or two of SIM card problem or hostdown, it can
Judged by the event data of slave.
Further, described other supplementary means for avoiding vehicle collision are using voice prompting, indicator light prompt, acquisition
Implement the one or more of video recording and photo.
Working principle:
The anti-tired integrated machine equipment fault remote automatic diagnosis method of a kind of anticollision, using master-slave equipment mode, if based on
From integrated machine equipment, determines host equipment and type, judge slave devices and type, extract data respectively；By device identification,
List of devices, device name feature, service vehicle etc. all can be used as Rule of judgment.It takes equipment 24 hours yesterdays of operation data and determines
Position data are as basic judgment basis.3, by 24 hour datas, diagnostic device whether there is not online exception.Host A CC is opened
It opens more than 2 hours, all-in-one machine is not online, and there are two kinds of abnormal causes for this thing: (1) all-in-one machine the last item location data reports end
Main electric power down is held, is judged as circuit question, it may be possible to artificially pull out line/fuse, wiring loosening problem.The method passes through slave
Operating condition judged.(2) the main electric power down of the non-reporting terminal of all-in-one machine the last item location data, is judged as that equipment is asked
Topic, SIM card problem either hostdown.The method is judged by the event data of slave.It is monitored by I ADAS of slave
Monitored results I are simultaneously fed back to host by risk of collision event, at the same by the anti-tired monitoring system of slave II to interior driver into
Monitored results II are simultaneously fed back to host by the dynamic monitoring of row face, and feedback system is mainly that I ADAS of (1) slave does not alarm slave II
Anti- fatigue monitoring system alarming, is judged to blocking camera, camera angle/camera is pulled out/failure problems.(2) slave II
Anti- fatigue monitoring system is not alarmed I ADAS of slave alarm, is determined as that anti-tired camera removal/failure/Release parameter class is different
Often.(3) the anti-tired monitoring system of slave II, I ADAS of slave do not alarm, are determined as camera removal/failure/hostdown
/ version or parameter problem/without speed (pulse and GPS).Judge whether be detached from monitoring, by be detached from monitor event account for the odd-numbered day prevent it is tired
Labor event overall 70% or more is regarded as being detached from monitoring, be caused since camera angle is adjusted or blocks.Host passes through corresponding
Image procossing and recognizer monitored results I and monitored results II are extracted and are judged, judging result is sent to number
According in library, by Internet of Things vehicle control system after being compared in the database, speed is actively reduced to vehicle progress
With use other supplementary means that vehicle collision or real-time prompting driver is avoided to prevent fatigue driving.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (5)
1. a kind of anti-tired integrated machine equipment fault remote automatic diagnosis method of anticollision, it is characterised in that: use master-slave equipment
Mode monitors risk of collision event by I ADAS of slave and monitored results I is fed back to host, while passing through the anti-fatigue of slave II
Monitoring system carries out face's dynamic monitoring to interior driver and monitored results II is fed back to host, and host passes through corresponding image
Processing and recognizer extract and judge to monitored results I and monitored results II, and judging result is sent in database,
By Internet of Things vehicle control system after being compared in the database, speed is actively reduced to vehicle progress and uses it
His supplementary means avoids vehicle collision or real-time prompting driver from preventing fatigue driving；
Specific step is as follows:
Step S1: judging whether equipment is principal and subordinate's integrated machine equipment according to Rule of judgment, determines host equipment, determines slave I
ADAS and the anti-tired monitoring system of slave II；
Step S2: using equipment 24 hours yesterdays of operation data and location data as basic judgment basis, whether diagnostic device is deposited
In not online exception, judging result S21, S22, S23；
S21, integrated machine equipment is not online and the last item location data reporting terminal main power source power down yesterday, is judged as that route is asked
Topic；
S22, integrated machine equipment is not online and the non-reporting terminal main power source power down of the last item location data yesterday, is judged as equipment
Problem；
S23, integrated machine equipment are online；
Step S3: after integrated machine equipment is online, the vehicle odd-numbered day travels longer than 100 kilometers, and I ADAS of slave and the anti-fatigue of slave II are supervised
Control system is likely to occur exception, and three kinds of situations are S31, S32, S33；
S31, I ADAS of slave do not alarm and the anti-tired monitoring system alarming of slave II, is judged to blocking camera, the camera shooting brilliance
Degree, camera such as are pulled out at the failure problems；
S32, I ADAS of slave alarm and the anti-tired monitoring system of slave II is not alarmed, and are determined as anti-tired camera removal, event
Barrier, Release parameter class are abnormal；
S33, I ADAS of slave, the anti-tired monitoring system of slave II are not alarmed, are determined as camera removal/failure, host event
Barrier, version or parameter problem, without speed；
Step S4: when the anti-tired monitoring system alarming of slave II is more than odd-numbered day anti-tired event overall 70% or more, judgement slave II
Anti- fatigue monitoring system is detached from monitoring；
Step S5: I ADAS of slave and the anti-tired collected all information of monitoring system of slave II are carried out by host in step
After corresponding image procossing and recognizer, it is uploaded to database, passes through Internet of Things vehicle after being compared in the database
Control system, accordingly controls vehicle.
2. the anti-tired integrated machine equipment fault remote automatic diagnosis method of a kind of anticollision as described in claim 1, feature
Be: the Rule of judgment in the step S1 is in device identification, list of devices, device name feature or service vehicle type
One or several.
3. the anti-tired integrated machine equipment fault remote automatic diagnosis method of a kind of anticollision as described in claim 1, feature
Be: being judged as circuit question in the S21, be artificially pull out line or fuse, wiring loosening problem one kind or several, can
Judged by the operating condition of principal and subordinate's integrated machine equipment.
4. the anti-tired integrated machine equipment fault remote automatic diagnosis method of a kind of anticollision as described in claim 1, feature
It is: is judged as plant issue in the S22, is the one or two of SIM card problem or hostdown, slave can be passed through
Event data is judged.
5. the anti-tired integrated machine equipment fault remote automatic diagnosis method of a kind of anticollision as described in claim 1, feature
Be: described other supplementary means for avoiding vehicle collision are to implement video recording using voice prompting, indicator light prompt, acquisition and shine
The one or more of piece.
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Cited By (1)
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| CN110316188A (en) * | 2019-07-10 | 2019-10-11 | 范红星 | A kind of automobile collision preventing safety system based on image procossing |
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