CN110362087A - The method and device of remote auto diagnosis anti-collision equipment failure - Google Patents
The method and device of remote auto diagnosis anti-collision equipment failure Download PDFInfo
- Publication number
- CN110362087A CN110362087A CN201910705408.1A CN201910705408A CN110362087A CN 110362087 A CN110362087 A CN 110362087A CN 201910705408 A CN201910705408 A CN 201910705408A CN 110362087 A CN110362087 A CN 110362087A
- Authority
- CN
- China
- Prior art keywords
- equipment
- collision
- exception
- host
- abnormal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000003745 diagnosis Methods 0.000 title claims abstract description 32
- 230000002159 abnormal effect Effects 0.000 claims abstract description 67
- 230000000694 effects Effects 0.000 claims abstract description 22
- 238000004891 communication Methods 0.000 claims abstract description 20
- 238000012544 monitoring process Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000012545 processing Methods 0.000 abstract description 8
- 238000007405 data analysis Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000012790 confirmation Methods 0.000 description 4
- 238000004590 computer program Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 2
- 230000008030 elimination Effects 0.000 description 2
- 238000003379 elimination reaction Methods 0.000 description 2
- 230000007257 malfunction Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000012806 monitoring device Methods 0.000 description 2
- 238000011017 operating method Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0214—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0223—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving speed control of the vehicle
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
- G05D1/0253—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means extracting relative motion information from a plurality of images taken successively, e.g. visual odometry, optical flow
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0259—Control of position or course in two dimensions specially adapted to land vehicles using magnetic or electromagnetic means
- G05D1/0263—Control of position or course in two dimensions specially adapted to land vehicles using magnetic or electromagnetic means using magnetic strips
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
- G05D1/0278—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using satellite positioning signals, e.g. GPS
Abstract
The embodiment of the present application provides the method and device of a kind of remote auto diagnosis anti-collision equipment failure, and method includes: the data reported according to equipment, and whether remote supervisory and control(ling) equipment is abnormal；Unit exception monitored results are obtained, wherein the unit exception monitored results include at least: operation not yet in effect, main-machine communication failure, the not online exception of equipment, the low exception of data integrity rate, equipment speed ratio is abnormal, equipment does not alert, lane shift alarm is abnormal, one of alarm quantity exception or a variety of results.The data that the application can be reported by big data analysis equipment, the different information classification processings that equipment is reported, and filter out effective data and carry out the current state of analytical equipment, and with different exceptions, provide different equipment treatment advices.
Description
Technical field
This application involves field of diagnosis about equipment fault, and in particular to a kind of side of remote auto diagnosis anti-collision equipment failure
Method and device.
Background technique
In lorry logistics, lorry crashes in order to prevent, and lorry, which mostly will be installed, puts collision equipment to assist driving
It sails.
But existing awareness apparatus, whether generally all lacking long-range automatic fault diagnosis method, to carry out monitoring device normal
Operation.Car owner or operating company facility failure can not be timely and effectively informed when equipment breaks down.Often because
Faulty equipment cannot be found in time, shipping is caused to collide risk on the way and cannot be alerted in time, to accident occur.
Summary of the invention
For the problems of the prior art, the application provide a kind of method of remote auto diagnosis anti-collision equipment failure with
And device, can effectively using long-range automatic fault diagnosis method come monitoring device whether normal operation.
At least one of to solve the above-mentioned problems, the application the following technical schemes are provided:
In a first aspect, the application provides a kind of method of remote auto diagnosis anti-collision equipment failure, by GPS device and
Anti-collision equipment carries out remote auto diagnosis, comprising: whether the data reported according to equipment, remote supervisory and control(ling) equipment are abnormal；
Wherein the equipment refers to the GPS device as host and the anti-collision equipment as slave, wherein the touching whether being abnormal
Hair event result refers to that host online hours are greater than the first threshold value, and anti-collision equipment online hours are greater than first thresholding
Value；Or the distance travelled of host and anti-collision equipment is greater than the second threshold value；Unit exception monitored results are obtained, wherein described set
Standby abnormal monitoring result includes at least: operation not yet in effect, main-machine communication failure, the not online exception of equipment, data integrity rate are low different
Often, equipment speed ratio is abnormal, equipment does not alert, lane shift is alarmed one of abnormal, alarm quantity exception or a variety of results.
Further, the acquisition unit exception monitored results include:
Obtain the result that unit exception monitored results are operation exception not yet in effect:
If same day GPS host online hours are less than 30 minutes and when the online hours of anti-collision equipment were less than 30 minutes,
Then it is judged as operation exception not yet in effect.
When same day GPS host online hours are greater than 30 minutes and anti-collision equipment online hours are greater than 30 minutes, while GPS
The mileage uploaded in host is greater than 100km, is to meet condition according to anti-collision equipment mileage/GPS host mileage, is then judged as not
Effectively it is operating abnormally.
Further, the acquisition unit exception monitored results include:
Obtain the result that unit exception monitored results are host communication failure exception:
If same day GPS host line duration was less than 30 minutes and anti-collision equipment line duration is greater than 30 minutes, sentence
Breaking as anti-collision equipment is normal work, and GPS host data reports exception or GPS main-machine communication failure exception.
Further, the acquisition unit exception monitored results include:
Acquisition unit exception monitored results are the not online abnormal result of equipment:
If same day GPS host online hours are greater than 30 minutes and anti-collision equipment online hours are equal to 0, it is judged as anti-
Collide the not online exception of equipment.
Further, the acquisition unit exception monitored results include:
Obtaining unit exception monitored results is the low result of data integrity rate:
If same day GPS host online hours are greater than 30 minutes, and when anti-collision equipment online hours/GPS host is online
Long ratio meets preset condition, then judges that anti-collision equipment data are imperfect.
Further, the acquisition unit exception monitored results include:
Obtain the result that unit exception monitored results are speed ratio exception:
If same day anti-collision equipment online hours are greater than 30 minutes and GPS host equipment operation durations and are greater than 30 minutes,
GPS host distance travelled is greater than 100 kilometers of equipment simultaneously, then the average speed and anticollision of GPS host is obtained by calculation
The average speed of equipment；
If the diversity factor of average speed meets preset condition, judge equipment for speed ratio exception.
Further, the acquisition unit exception monitored results include:
Obtaining unit exception monitored results is not alert abnormal result:
If the equipment that same day GPS host and anti-collision equipment distance travelled are greater than 100 kilometers, counts anti-collision equipment
The anti-collision alarming information total number for reporting the same day to report；
If same day anti-collision alarm quantity is 0, it is judged as that anti-collision equipment does not alert exception.
Further, the acquisition unit exception monitored results include:
Obtaining unit exception monitored results is lane shift alarm abnormal results:
If the equipment that same day GPS host and anti-anti-collision equipment distance travelled are greater than 100km, counts anti-collision equipment
The left drift alarm number in lane, the right drift alarm number in lane；
If the left drift alarm number in the statistics anti-collision equipment lane, the right drift alarm number in lane meet default item
Part is then judged as that lane alarm is abnormal.
Further, the acquisition unit exception monitored results include:
Acquisition unit exception monitored results are alarm quantity abnormal results:
The equipment that same day GPS host and anti-collision equipment distance travelled are greater than 100 kilometers, then count anti-collision equipment and report
The warning information total number that the same day reports；
If the warning information total number that the anti-collision equipment reported the same day to report meets preset condition, it is judged as anti-
It is abnormal to collide device parameter configuration error.
Second aspect, the application provide a kind of device of remote auto diagnosis anti-collision equipment failure, by GPS device and
Anti-collision equipment carries out remote auto diagnosis, comprising: monitoring module, the data for being reported according to equipment, remote supervisory and control(ling) equipment
Whether it is abnormal；Wherein the equipment refers to the GPS device as host and the anti-collision equipment as slave, wherein whether
The trigger event result being abnormal refers to that host online hours are greater than the first threshold value, and anti-collision equipment online hours are greater than
First threshold value；Or the distance travelled of host and anti-collision equipment is greater than the second threshold value；Module is obtained, is set for obtaining
Standby abnormal monitoring is as a result, wherein the unit exception monitored results include at least: operation not yet in effect, main-machine communication failure, equipment
Not online exception, the low exception of data integrity rate, equipment speed ratio are abnormal, equipment does not alert, lane shift alarm is abnormal, alarm quantity
One of abnormal or a variety of results.
As shown from the above technical solution, the application provides a kind of method of remote auto diagnosis anti-collision equipment failure, leads to
It crosses GPS device and anti-collision equipment carries out remote auto and examines, method includes: the data reported according to equipment, remote supervisory and control(ling) equipment
Whether it is abnormal；Obtain unit exception monitored results.The data reported by big data analysis equipment, equipment is reported not
With information classification processing, and filters out effective data and carry out the current state of analytical equipment.And with different exceptions, difference is provided
Equipment treatment advice.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is the application
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 be the embodiment of the present application in remote auto diagnose anti-collision equipment failure method flow diagram it
One；
Fig. 2 is that the process for the method that the remote auto in the application preferred embodiment diagnoses anti-collision equipment failure is illustrated
The two of figure；
Fig. 3 is the structural schematic diagram of the device of the remote auto diagnosis anti-collision equipment failure in the embodiment of the present application；
Fig. 4 be the embodiment of the present application in remote auto diagnose anti-collision equipment failure method flow diagram it
Three.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
In attached drawing, technical solutions in the embodiments of the present application carries out clear, complete description, it is clear that described embodiment is
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
As shown in Figure 1, the method for remote auto diagnosis anti-collision equipment failure, passes through GPS device and anti-collision equipment
Remote auto diagnosis is carried out, includes the following steps, namely S100 to step S101:
Whether the data that step S100 is reported according to equipment, remote supervisory and control(ling) equipment are abnormal；
The equipment refers to the GPS device as host and the anti-collision equipment as slave,
The trigger event result whether being abnormal refers to that host online hours are greater than the first threshold value, and anti-collision equipment
Online hours are greater than first threshold value；Or the distance travelled of host and anti-collision equipment is greater than the second threshold value；
Step S101 obtains unit exception monitored results,
The unit exception monitored results include at least: operation not yet in effect, main-machine communication failure, equipment it is not online it is abnormal,
One in exception that the low exception of data integrity rate, equipment speed ratio are abnormal, equipment does not alert, lane shift is alarmed, alarm quantity exception
Kind or a variety of results.
Specifically, anti-collision equipment passes through the vehicle-mounted terminal equipment of image recognition vehicle run time behaviour.It can go out in vehicle
It is alerted in time when existing above-mentioned dangerous driving problem, improves a equipment of cargo security.Whether equipment works normally, if occurs
Failure needs remotely to be monitored and diagnosed.
The equipment of monitoring in the embodiment of the present application, comprising a set of GPS host and a set of anticollision automatic identification alarm from
Machine.
It can be seen from the above description that the application realizes following technical effect:
The application provides a kind of method of remote auto diagnosis anti-collision equipment failure, is set by GPS device and anticollision
The standby remote auto that carries out is examined, and method includes: the data reported according to equipment, and whether remote supervisory and control(ling) equipment is abnormal；Acquisition is set
Standby abnormal monitoring result.The data reported by big data analysis equipment, the different information classification processings that equipment is reported, and sieve
It selects effective data and carrys out the current state of analytical equipment.And with different exceptions, different equipment treatment advices is provided.
The purpose that the application provides a kind of method of remote auto diagnosis anti-collision equipment failure is timely and effectively remote
Whether range monitoring equipment has exception.By monitoring of tools result is defined as: operation not yet in effect, hostdown, equipment is online, equipment
The exceptions such as speed ratio is abnormal, equipment does not alert, unit exception alarm.Data analysis, obtains the operating condition of current device.
Preferably, after being diagnosed to be daily monitored results automatically, using following calculation, remover apparatus contingency occurs
Exception: calculate individual event in the nearest 3 days monitored results of equipment and frequency of abnormity continuously occur extremely.If all occurred for three days on end
It is abnormal, then it is warping apparatus by the device definition.The Exception Types different to equipment provide different exception handlings, to protect
Hinder the normal operation of equipment.
According to the embodiment of the present application, it is preferable that as shown in Fig. 2, the acquisition unit exception monitored results include:
Step S200 obtains the result that unit exception monitored results are operation exception not yet in effect:
If same day GPS host online hours are less than 30 minutes and when the online hours of anti-collision equipment were less than 30 minutes,
Then it is judged as operation exception not yet in effect；
When same day GPS host online hours are greater than 30 minutes and anti-collision equipment online hours are greater than 30 minutes, while GPS
The mileage uploaded in host is greater than 100km, is to meet condition according to anti-collision equipment mileage/GPS host mileage, is then judged as not
Effectively it is operating abnormally.
Specifically, the monitored results of operation exception not yet in effect: there are two types of situation 1, same day GPS host are online for operation not yet in effect
Duration is less than 30 minutes and when the online hours of anti-collision equipment were less than 30 minutes.Possible situation is vehicle stoppage in transit or vehicle
Lock is widened completely.2, same day GPS host online hours are greater than 30 minutes and anti-collision equipment online hours are greater than 30 minutes.GPS
Host reports mileage to be greater than 100km, and anti-collision equipment mileage/GPS host mileage, if ratio≤90%, anti-collision equipment is not
Effectively operation.It may be anti-collision equipment communication failure, check whether antenna disposes correctly.
According to the embodiment of the present application, it is preferable that as shown in Fig. 2, the acquisition unit exception monitored results include:
Step S300 obtains the result that unit exception monitored results are host communication failure exception:
If same day GPS host line duration was less than 30 minutes and anti-collision equipment line duration is greater than 30 minutes, sentence
Breaking as anti-collision equipment is normal work, and GPS host data reports exception or GPS main-machine communication failure exception.
Specifically, the monitored results of main-machine communication failure: same day GPS host line duration was less than 30 minutes and anticollision is set
Standby line duration is greater than 30 minutes.Illustrate that anti-collision equipment works normally, host data reports exception, and main-machine communication failure is different
Often.Host is abnormal, and anti-collision equipment can not work normally.Malfunction elimination need to be carried out to host.
According to the embodiment of the present application, it is preferable that as shown in Fig. 2, the acquisition unit exception monitored results include:
It is the not online abnormal result of equipment that step S400, which obtains unit exception monitored results:
If same day GPS host online hours are greater than 30 minutes and anti-collision equipment online hours are equal to 0, it is judged as anti-
Collide the not online exception of equipment.
Specifically, the not online abnormal monitored results of equipment: same day GPS host online hours are greater than 30 minutes and anticollision
Equipment on-line duration is equal to 0, the not online exception of anti-collision equipment.It needs to visit and checks whether host pulls out line, wiring loosening, insurance
Silk, sim card slot loosening, the other failures of hardware etc..
According to the embodiment of the present application, it is preferable that as shown in Fig. 2, the acquisition unit exception monitored results include:
It is the low result of data integrity rate that step S500, which obtains unit exception monitored results:
If same day GPS host online hours are greater than 30 minutes, and when anti-collision equipment online hours/GPS host is online
Long ratio meets preset condition, then judges that anti-collision equipment data are imperfect.
Specifically, the low monitored results of data integrity rate: same day GPS host online hours are greater than 30 minutes, and anticollision is set
Standby online hours/GPS host online hours, if ratio is less than 90% and greater than 1%, anti-collision equipment data are imperfect.It needs
Whether data mend biography reason for product analysis.
According to the embodiment of the present application, it is preferable that as shown in Fig. 2, the acquisition unit exception monitored results include:
Step S600 obtains the result that unit exception monitored results are speed ratio exception:
If same day anti-collision equipment online hours are greater than 30 minutes and GPS host equipment operation durations and are greater than 30 minutes,
GPS host distance travelled is greater than 100 kilometers of equipment simultaneously, then the average speed and anticollision of GPS host is obtained by calculation
The average speed of equipment；
If the diversity factor of average speed meets preset condition, judge equipment for speed ratio exception.
Specifically, the monitored results of speed ratio exception: same day anti-collision equipment online hours are greater than 30 minutes and GPS host is set
Standby operation duration is greater than 30 minutes, the equipment that host distance travelled is greater than 100 kilometers.It calculates the average speed of GPS host and prevents
Collide the average speed of equipment.Anti-collision equipment average rate and anti-collision equipment host average rate diversity factor are if it is greater than 10%.It is (a kind of
Feasible calculation formula (abs (a-b) * 100/a) > 10)), then it is that speed ratio is abnormal by device definition.It needs to assist anti-collision equipment
View is modified or adjusts.
According to the embodiment of the present application, it is preferable that as shown in Fig. 2, the acquisition unit exception monitored results include:
It is not alert abnormal result that step S700, which obtains unit exception monitored results:
If the equipment that same day GPS host and anti-collision equipment distance travelled are greater than 100 kilometers, counts anti-collision equipment
The anti-collision alarming information total number for reporting the same day to report；
If same day anti-collision alarm quantity is 0, it is judged as that anti-collision equipment does not alert exception.
Specifically, the monitored results not alerted: same day GPS host and anti-collision equipment distance travelled are greater than 100 kilometers
Equipment.Count the anti-collision alarming information total number that the equipment reported the same day to report.Theoretically, equipment is bound to generate alarm letter
Breath.If same day anti-collision alarm quantity is 0, it is defined as anti-collision equipment and does not alert, may be blocked for camera, need to takes pictures really
Recognize whether exception or program exception such as upgrade software.
According to the embodiment of the present application, it is preferable that as shown in Fig. 2, the acquisition unit exception monitored results include:
It is lane shift alarm abnormal results that step S800, which obtains unit exception monitored results:
If the equipment that same day GPS host and anti-anti-collision equipment distance travelled are greater than 100km, counts anti-collision equipment
The left drift alarm number in lane, the right drift alarm number in lane；
If the left drift alarm number in the statistics anti-collision equipment lane, the right drift alarm number in lane meet default item
Part is then judged as that lane alarm is abnormal.
Specifically, the abnormal monitored results of lane shift alarm: same day GPS host and anti-anti-collision equipment distance travelled are big
In the equipment of 100km.If vehicle shift lane is excessive, lane shift alarm can be generated.Count anti-collision equipment lane left avertence
Move alarm number, the right drift alarm number in lane.If left drift alarm number/left and right drift alarm summation, ratio is greater than etc.
In 80%, or right drift alarm number/left and right drift alarm summation ratio is more than or equal to 80%.It is different to be defined as lane alarm
Often, manual confirmation or camera is needed to re-scale lane.
According to the embodiment of the present application, it is preferable that as shown in Fig. 2, the acquisition unit exception monitored results include:
It is alarm quantity abnormal results that step S900, which obtains unit exception monitored results:
The equipment that same day GPS host and anti-collision equipment distance travelled are greater than 100 kilometers, then count anti-collision equipment and report
The warning information total number that the same day reports；
If the warning information total number that the anti-collision equipment reported the same day to report meets preset condition, it is judged as and hits
Device parameter configuration error is abnormal.
Specifically, same day GPS host and anti-collision equipment distance travelled are greater than 100 kilometers of equipment, count in the equipment
The warning information total number that the report same day reports.If same day equipment alarm data total number is greater than 150 times.It may be set for anticollision
Standby parameter configuration error, needs manual confirmation, and specific aim tune is joined program exception such as program and upgraded.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions
It is executed in computer system, although also, logical order is shown in flow charts, and it in some cases, can be with not
The sequence being same as herein executes shown or described step.
According to the embodiment of the present application, a kind of remote auto diagnosis anti-collision equipment for implementing the above method is additionally provided
The device of failure carries out remote auto diagnosis by GPS device and anti-collision equipment, as shown in figure 3, the device includes: monitoring
Whether module 10, the data for being reported according to equipment, remote supervisory and control(ling) equipment are abnormal；Wherein the equipment refers to as master
The GPS device of machine and anti-collision equipment as slave, wherein the trigger event result whether being abnormal refers to that host is online
Duration is greater than the first threshold value, and anti-collision equipment online hours are greater than first threshold value；Or host and anti-collision equipment
Distance travelled be greater than the second threshold value；Module 20 is obtained, for obtaining unit exception monitored results, wherein the unit exception
Monitored results include at least: operation not yet in effect, main-machine communication failure, the not online exception of equipment, the low exception of data integrity rate, equipment
Speed ratio is abnormal, equipment does not alert, lane shift is alarmed one of abnormal, alarm quantity exception or a variety of results.
Anti-collision equipment passes through the vehicle-mounted terminal equipment of image recognition vehicle run time behaviour in the embodiment of the present application.It can be
Alerting in time when above-mentioned dangerous driving problem occurs in vehicle, improves a equipment of cargo security.Whether equipment works normally, and is
No failure needs remotely to be monitored and diagnosed.
The equipment of monitoring in the embodiment of the present application, comprising a set of GPS host and a set of anticollision automatic identification alarm from
Machine.
By monitoring of tools result is defined as: operation not yet in effect, hostdown, equipment is not online, equipment speed ratio is abnormal, equipment
Do not alert, unit exception alarm etc. it is abnormal.Data analysis, obtains the operating condition of current device.
As shown in figure 4, specific judgment rule is as follows:
Operation exception not yet in effect: operation not yet in effect there are two types of situation 1, same day GPS host online hours less than 30 minutes and
When the online hours of anti-collision equipment were less than 30 minutes.Possible situation is that vehicle is stopped transport or vehicle widens lock completely.2, the same day
GPS host online hours are greater than 30 minutes and anti-collision equipment online hours are greater than 30 minutes.GPS host reports mileage to be greater than
100km, anti-collision equipment mileage/GPS host mileage, if ratio≤90%, anti-collision equipment operation not yet in effect.May be
Anti-collision equipment communication failure, checks whether antenna disposes correctly.
Main-machine communication failure: same day GPS host line duration was less than 30 minutes and anti-collision equipment line duration is greater than 30
Minute.Illustrate that anticollision here works normally, host data reports exception, main-machine communication failure exception.Host is abnormal, anticollision
Equipment can not work normally.Malfunction elimination need to be carried out to host.
The not online exception of equipment: same day GPS host online hours are greater than 30 minutes and anti-collision equipment online hours are equal to
0, the not online exception of anti-collision equipment.Need to visit check host whether pull out line, wiring loosening, fuse, sim card slot loosen,
Other failures of hardware etc..
Data integrity rate is low: same day GPS host online hours are greater than 30 minutes, anti-collision equipment online hours/GPS host
Online hours, if ratio is less than 90% and greater than 1%, anti-collision equipment data are imperfect.Needing product analysis, whether data are mended
Pass reason.
Speed ratio is abnormal: same day anti-collision equipment online hours are greater than 30 minutes and GPS host equipment operation durations and are greater than 30
Minute, the equipment that host distance travelled is greater than 100 kilometers.Calculate the average speed of GPS host and the average speed of anti-collision equipment
Degree.Anti-collision equipment average rate and anti-collision equipment host average rate diversity factor are if it is greater than 10%, (calculation formula (abs (a-b) *
100/a) > 10)), then device definition is abnormal for speed ratio.It needs that anti-collision equipment agreement is modified or is adjusted.
It does not alert: the equipment of same day GPS host and anti-collision equipment distance travelled greater than 100 kilometers.It counts in the equipment
The anti-collision alarming information total number that the report same day reports.Theoretically, equipment is bound to generate warning information.If same day anticollision
Quantity of alarming is 0, is defined as anti-collision equipment and does not alert, may block for camera, need to take pictures and be confirmed whether exception or journey
Sequence is abnormal (upgrading software).
Lane shift alarm is abnormal: the equipment of same day GPS host and anti-anti-collision equipment distance travelled greater than 100km.Such as
Fruit vehicle shift lane is excessive, can generate lane shift alarm.Count the left drift alarm number in anti-collision equipment lane, the lane right side
Drift alarm number.If left drift alarm number/left and right drift alarm summation, ratio is more than or equal to 80%, or right avertence is moved
It alerts number/left and right drift alarm summation ratio and is more than or equal to 80%.It is abnormal to be defined as lane alarm, needs manual confirmation or takes the photograph
As nose heave new calibration lane.
Alarm quantity is abnormal: the equipment of same day GPS host and anti-collision equipment distance travelled greater than 100 kilometers, statistics should
The warning information total number that equipment reported the same day to report.If same day equipment alarm data total number is greater than 150 times.It may be anti-
Device parameter configuration error is collided, manual confirmation is needed, specific aim tune joins program exception (upgrading).
Automatically after being diagnosed to be daily monitored results, the exception that is occurred using following calculation, remover apparatus contingency:
It calculates individual event in the nearest 3 days monitored results of equipment and continuously occurs frequency of abnormity extremely.If all occurred for three days on end
It is abnormal, then it is warping apparatus by the device definition.The Exception Types different to equipment provide different exception handlings, to protect
Hinder the normal operation of equipment.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the movement recorded in detail in the claims or step can be come according to the sequence being different from embodiment
It executes and desired result still may be implemented.In addition, process depicted in the drawing not necessarily require show it is specific suitable
Sequence or consecutive order are just able to achieve desired result.In some embodiments, multitasking and parallel processing be also can
With or may be advantageous.
Although this application provides the method operating procedure as described in embodiment or flow chart, based on conventional or noninvasive
The labour for the property made may include more or less operating procedure.The step of enumerating in embodiment sequence is only numerous steps
One of execution sequence mode, does not represent and unique executes sequence.It, can when device or client production in practice executes
To execute or parallel execute (such as at parallel processor or multithreading according to embodiment or method shown in the drawings sequence
The environment of reason).
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by the product with certain function.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, vehicle-mounted human-computer interaction device, cellular phone, camera phone, smart phone, individual
Digital assistants, media player, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or
The combination of any equipment in these equipment of person.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It will be understood by those skilled in the art that the embodiment of this specification can provide as the production of method, system or computer program
Product.Therefore, in terms of this specification embodiment can be used complete hardware embodiment, complete software embodiment or combine software and hardware
Embodiment form.
This specification embodiment can describe in the general context of computer-executable instructions executed by a computer,
Such as program module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, journey
Sequence, object, component, data structure etc..This specification embodiment can also be practiced in a distributed computing environment, in these points
Cloth calculates in environment, by executing task by the connected remote processing devices of communication network.In distributed computing ring
In border, program module can be located in the local and remote computer storage media including storage equipment.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ",
The description of " specific example " or " some examples " etc. means specific features described in conjunction with this embodiment or example, structure, material
Or feature is contained at least one embodiment or example of this specification embodiment.In the present specification, to above-mentioned term
Schematic representation be necessarily directed to identical embodiment or example.Moreover, description specific features, structure, material or
Person's feature may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, in not conflicting feelings
Under condition, those skilled in the art by different embodiments or examples described in this specification and different embodiment or can show
The feature of example is combined.
The foregoing is merely the embodiments of this specification, are not limited to this specification embodiment.For ability
For field technique personnel, this specification embodiment can have various modifications and variations.It is all this specification embodiment spirit and
Any modification, equivalent replacement, improvement and so within principle should be included in the scope of the claims of this specification embodiment
Within.
Claims (10)
1. a kind of method of remote auto diagnosis anti-collision equipment failure, which is characterized in that pass through GPS device and anti-collision equipment
Carry out remote auto diagnosis, which comprises
Whether the data reported according to equipment, remote supervisory and control(ling) equipment are abnormal；
Wherein the equipment refers to the GPS device as host and the anti-collision equipment as slave,
The trigger event result wherein whether being abnormal refers to that host online hours are greater than the first threshold value, and anti-collision equipment
Online hours are greater than first threshold value；Or the distance travelled of host and anti-collision equipment is greater than the second threshold value；
Unit exception monitored results are obtained,
Wherein the unit exception monitored results include at least: operation not yet in effect, main-machine communication failure, equipment it is not online it is abnormal,
One in exception that the low exception of data integrity rate, equipment speed ratio are abnormal, equipment does not alert, lane shift is alarmed, alarm quantity exception
Kind or a variety of results.
2. the method for remote auto diagnosis anti-collision equipment failure according to claim 1, which is characterized in that the acquisition
Unit exception monitored results include:
Obtain the result that unit exception monitored results are operation exception not yet in effect:
If same day GPS host online hours are sentenced less than 30 minutes and when the online hours of anti-collision equipment were less than 30 minutes
Break as operation exception not yet in effect；
When same day GPS host online hours are greater than 30 minutes and anti-collision equipment online hours are greater than 30 minutes, while GPS host
The mileage of middle upload is greater than 100km, is to meet condition according to anti-collision equipment mileage/GPS host mileage, is then judged as not yet in effect
It is operating abnormally.
3. the method for remote auto diagnosis anti-collision equipment failure according to claim 1, which is characterized in that the acquisition
Unit exception monitored results include:
Obtain the result that unit exception monitored results are host communication failure exception:
If same day GPS host line duration was less than 30 minutes and anti-collision equipment line duration is greater than 30 minutes, it is judged as
Anti-collision equipment is to work normally, and GPS host data reports exception or GPS main-machine communication failure exception.
4. the method for remote auto diagnosis anti-collision equipment failure according to claim 1, which is characterized in that the acquisition
Unit exception monitored results include:
Acquisition unit exception monitored results are the not online abnormal result of equipment:
If same day GPS host online hours are greater than 30 minutes and anti-collision equipment online hours are equal to 0, it is judged as anticollision
The not online exception of equipment.
5. the method for remote auto diagnosis anti-collision equipment failure according to claim 1, which is characterized in that the acquisition
Unit exception monitored results include:
Obtaining unit exception monitored results is the low result of data integrity rate:
If same day GPS host online hours are greater than 30 minutes, and anti-collision equipment online hours/GPS host online hours
Ratio meets preset condition, then judges that anti-collision equipment data are imperfect.
6. the method for remote auto diagnosis anti-collision equipment failure according to claim 1, which is characterized in that the acquisition
Unit exception monitored results include:
Obtain the result that unit exception monitored results are speed ratio exception:
If same day anti-collision equipment online hours are greater than 30 minutes and GPS host equipment operation durations greater than 30 minutes, simultaneously
The equipment that GPS host distance travelled is greater than 100 kilometers, then be obtained by calculation the average speed and anti-collision equipment of GPS host
Average speed；
If the diversity factor of average speed meets preset condition, judge equipment for speed ratio exception.
7. the method for remote auto diagnosis anti-collision equipment failure according to claim 1, which is characterized in that the acquisition
Unit exception monitored results include:
Obtaining unit exception monitored results is not alert abnormal result:
If the equipment that same day GPS host and anti-collision equipment distance travelled are greater than 100 kilometers, counts anti-collision equipment and reports
The anti-collision alarming information total number that the same day reports；
If same day anti-collision alarm quantity is 0, it is judged as that anti-collision equipment does not alert exception.
8. the method for remote auto diagnosis anti-collision equipment failure according to claim 1, which is characterized in that the acquisition
Unit exception monitored results include:
Obtaining unit exception monitored results is lane shift alarm abnormal results:
If the equipment that same day GPS host and anti-anti-collision equipment distance travelled are greater than 100km, counts anti-collision equipment lane
Left drift alarm number, the right drift alarm number in lane；
If the left drift alarm number in the statistics anti-collision equipment lane, the right drift alarm number in lane meet preset condition,
Then it is judged as that lane alarm is abnormal.
9. the method for remote auto diagnosis anti-collision equipment failure according to claim 1, which is characterized in that the acquisition
Unit exception monitored results include:
Acquisition unit exception monitored results are alarm quantity abnormal results:
The equipment that same day GPS host and anti-collision equipment distance travelled are greater than 100 kilometers, then count anti-collision equipment and report the same day
The warning information total number reported；
If the warning information total number that the anti-collision equipment reported the same day to report meets preset condition, it is judged as anticollision
Device parameter configuration error is abnormal.
10. a kind of device of remote auto diagnosis anti-collision equipment failure, which is characterized in that set by GPS device and anticollision
Standby to carry out remote auto diagnosis, described device includes:
Whether monitoring module, the data for being reported according to equipment, remote supervisory and control(ling) equipment are abnormal；
Wherein the equipment refers to the GPS device as host and the anti-collision equipment as slave,
The trigger event result wherein whether being abnormal refers to that host online hours are greater than the first threshold value, and anti-collision equipment
Online hours are greater than first threshold value；Or the distance travelled of host and anti-collision equipment is greater than the second threshold value；
Module is obtained, for obtaining unit exception monitored results,
Wherein the unit exception monitored results include at least: operation not yet in effect, main-machine communication failure, equipment it is not online it is abnormal,
One in exception that the low exception of data integrity rate, equipment speed ratio are abnormal, equipment does not alert, lane shift is alarmed, alarm quantity exception
Kind or a variety of results.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910705408.1A CN110362087A (en) | 2019-08-01 | 2019-08-01 | The method and device of remote auto diagnosis anti-collision equipment failure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910705408.1A CN110362087A (en) | 2019-08-01 | 2019-08-01 | The method and device of remote auto diagnosis anti-collision equipment failure |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110362087A true CN110362087A (en) | 2019-10-22 |
Family
ID=68223023
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910705408.1A Pending CN110362087A (en) | 2019-08-01 | 2019-08-01 | The method and device of remote auto diagnosis anti-collision equipment failure |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110362087A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109885039A (en) * | 2019-03-28 | 2019-06-14 | 北京汇通天下物联科技有限公司 | A kind of fault remote/automatic diagnosis method of the anti-Fatigue equipment based on slave |
| CN114999223A (en) * | 2021-03-02 | 2022-09-02 | 丰田自动车株式会社 | Information processing apparatus, information processing method, and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101482752A (en) * | 2008-01-10 | 2009-07-15 | 厦门雅迅网络股份有限公司 | Method for implementing real-time vehicle remote fault analysis through GPS positioning and mobile communication |
| US20110160934A1 (en) * | 2009-12-25 | 2011-06-30 | Denso Corporation | On-vehicle fault detecting device |
| US20150317844A1 (en) * | 2014-05-02 | 2015-11-05 | Kookmin University Industry-Academic Cooperation Foundation | Method of processing and analysing vehicle driving big data and system thereof |
| US20190180526A1 (en) * | 2017-12-11 | 2019-06-13 | GM Global Technology Operations LLC | Systems, methods and apparatuses for diagnostic fault detection by parameter data using a redundant processor architecture |
| CN109885039A (en) * | 2019-03-28 | 2019-06-14 | 北京汇通天下物联科技有限公司 | A kind of fault remote/automatic diagnosis method of the anti-Fatigue equipment based on slave |
-
2019
- 2019-08-01 CN CN201910705408.1A patent/CN110362087A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101482752A (en) * | 2008-01-10 | 2009-07-15 | 厦门雅迅网络股份有限公司 | Method for implementing real-time vehicle remote fault analysis through GPS positioning and mobile communication |
| US20110160934A1 (en) * | 2009-12-25 | 2011-06-30 | Denso Corporation | On-vehicle fault detecting device |
| US20150317844A1 (en) * | 2014-05-02 | 2015-11-05 | Kookmin University Industry-Academic Cooperation Foundation | Method of processing and analysing vehicle driving big data and system thereof |
| US20190180526A1 (en) * | 2017-12-11 | 2019-06-13 | GM Global Technology Operations LLC | Systems, methods and apparatuses for diagnostic fault detection by parameter data using a redundant processor architecture |
| CN109885039A (en) * | 2019-03-28 | 2019-06-14 | 北京汇通天下物联科技有限公司 | A kind of fault remote/automatic diagnosis method of the anti-Fatigue equipment based on slave |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109885039A (en) * | 2019-03-28 | 2019-06-14 | 北京汇通天下物联科技有限公司 | A kind of fault remote/automatic diagnosis method of the anti-Fatigue equipment based on slave |
| CN114999223A (en) * | 2021-03-02 | 2022-09-02 | 丰田自动车株式会社 | Information processing apparatus, information processing method, and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110855976B (en) | Camera abnormity detection method and device and terminal equipment | |
| US11922738B2 (en) | Fusion of aviation-related data for comprehensive aircraft system health monitoring | |
| CN110254439A (en) | The exception management system and abnormality eliminating method of automatic driving vehicle | |
| CN110362087A (en) | The method and device of remote auto diagnosis anti-collision equipment failure | |
| CN109887125B (en) | Fault detection method and device | |
| CN112418213A (en) | Vehicle driving track identification method and device and storage medium | |
| CN102792278B (en) | For the method and apparatus that the diagnostic data in computing environment is caught | |
| CN117082453B (en) | Vehicle electronic fence alarm method, device, equipment and storage medium | |
| CN110065350A (en) | Lorry traffic safety monitoring method and system | |
| DE102021126726A1 (en) | DISTRIBUTED SYSTEM AND DATA TRANSFER METHOD | |
| DE102018128453A1 (en) | Detection of tire vibration and loose wheels | |
| CN113129475A (en) | Monitoring method and device and vehicle | |
| CN114841483A (en) | Safety monitoring method and system for logistics freight vehicle | |
| JP5748196B2 (en) | Driving support device | |
| CN116863288A (en) | Target detection and alarm method, device and equipment based on deep learning | |
| CN112185103A (en) | Traffic monitoring method and device and electronic equipment | |
| CN108880881A (en) | The method and apparatus of monitoring resource under a kind of cloud environment | |
| EP3349214A1 (en) | Evaluating propagation of a video feed | |
| CN114550402A (en) | Method for alarming goods stealing and changing behavior in logistics transportation in planned route | |
| CN113311835A (en) | Method for reducing driving risk of automatic driving vehicle | |
| Al-Din | Driving Maneuvers Recognition and Classification Using A Hyprid Pattern Matching and Machine Learning | |
| CN117336210B (en) | Method, device, equipment and storage medium for detecting abnormal flow of internet of things card | |
| CN110689107A (en) | Intelligent foreign matter detection method | |
| US20230159010A1 (en) | Driver assistance device | |
| CN113650656B (en) | Intelligent fault diagnosis method based on train operation scene |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191022 |
|
| RJ01 | Rejection of invention patent application after publication |