CN104118500A - Data processing method of acceleration sensor in automatic accident alarm device for electric bicycle - Google Patents
Data processing method of acceleration sensor in automatic accident alarm device for electric bicycle Download PDFInfo
- Publication number
- CN104118500A CN104118500A CN201310153541.3A CN201310153541A CN104118500A CN 104118500 A CN104118500 A CN 104118500A CN 201310153541 A CN201310153541 A CN 201310153541A CN 104118500 A CN104118500 A CN 104118500A
- Authority
- CN
- China
- Prior art keywords
- acceleration
- accident
- numerical value
- electrical bicycle
- value
- 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
Abstract
The invention relates to a data processing method of an acceleration sensor in an automatic accident alarm device for an electric bicycle. According to the method, whether an accident occurs on the electric bicycle or not and accident occurrence relevant circumstances and severity degree can be accurately determined in real time through a single chip microcomputer by means of output data of the three-dimensional acceleration sensor in an electric bicycle burglary prevention alarm.
Description
Affiliated technical field
Patent of the present invention relates to the accident determination methods based on acceleration pick-up data processing in the autoalarm using in a kind of Electrical Bicycle, pass through the method, utilize the output data of acceleration pick-up, can accurately judge in real time whether Electrical Bicycle has accident to occur, and correlation circumstance and the order of severity of accident generation.
Background technology
At present, Electrical Bicycle, because cost is low, environmental protection, is conveniently widely used.And various warnings, anti-theft product based on Electrical Bicycle is a lot.What wherein, be widely used mainly contains: the antitheft alarm system based on GSM network and GPS registration device.Most built-in acceleration pick-up in these devices, be used as vibration and the motion sensor of Electrical Bicycle, be used for monitoring the abnormal vibrations of Electrical Bicycle and moving, at user's setting device, be under alert status, acceleration pick-up detects vibration signal, by GSM network, to user mobile phone, send early warning short message, with this, realize radical function antitheft and that report to the police.
Because acceleration pick-up can provide Electrical Bicycle three-dimensional acceleration change information, thus can be in Electrical Bicycle driving process, and Real-Time Monitoring vehicle acceleration changes, thereby possible long-range accident alarming is provided.(publication number: CN101276516A) announced a kind of a kind of elec. vehicle real-time monitoring system being formed by: acceleration pick-up, vehicle speed sensor, inclination sensor, by telephone network, travel condition of vehicle has been monitored and data transmission in existing patent.Although can utilize data and the travel condition of vehicle of GSM Internet Transmission vehicle acceleration sensor, not provide and how to utilize acceleration pick-up data to carry out automatic decision car accident and the data processing method of adaptive vehicle steerman driving habit etc. how.
Summary of the invention
In order to make full use of the data that in existing Electrical Bicycle, the three dimension acceleration sensor in GSM-GPS monitor provides, adopt a kind of adapting data processing method, driving habit for user, automatic decision has the contingent accident of Electrical Bicycle, and the possible order of severity of accident, produce alarm message, and to system background user, provide alarm message by GSM network, so that the later stage processes rapidly in real time, such as: notify family members and rescue etc.Simultaneously for later stage accident liability is identified and accident analysis provides Data support.
The technical scheme that the technical matters that this patent solves adopts is: by obtaining the numerical value of three dimension acceleration sensor, it is carried out to corresponding calculating and obtain the accident possibility occurrence of battery-driven car and the quantizating index of the order of severity.
Three dimension acceleration sensor is a kind of sensor of manufacturing based on MEMS technology, three-dimensional acceleration numerical value that can real-time measurement sensor.Utilize embedded scm can constantly measure very soon three dimension acceleration sensor output output data, with very fast frequency record three-dimensional acceleration numerical value, and this data flow is carried out to computing, for accident, judge.
Circular is as follows:
(1) automatic learning process.
First micro controller system needs an automatic learning process.After three-dimensional acceleration sensing device (representing respectively XYZ axle) installation first, user need to allow Electrical Bicycle normally travel a period of time (such as a minute), the acceleration value of three dimensions of micro controller system statistics three dimension acceleration sensor output, three dimensions are averaging, draw the normal mean values of three dimension acceleration/accels.
This process, in the normal use procedure of warning device, can constantly repeat, and micro controller system constantly records numerical value, after a period of time, can automatically try to achieve the three-dimensional acceleration mean values of a period of time above, as normal acceleration numerical value.
During due to installation of sensors, general maintenance, approaches level, so in the normal laying state of vehicle (or the state that travels at the uniform speed), Z axis acceleration/accel approaches acceleration due to gravity G, is that XY axle acceleration has very little component values.
(2) topple over discriminating.
When single chip computer measurement X and Y-axis acceleration and surpass G numerical value half time, can conclude that vehicle topples over.X and Y-axis acceleration summation=(G
x 2+ G
y 2)
1/2.
In above formula, G
xand G
yrepresent respectively X and Y-axis acceleration value.
(3) three-dimensional acceleration threshold value comparison.
Can shift to an earlier date setting threshold, generally, this threshold value is 3 times of acceleration due to gravity numerical value, is 3G (this threshold value also can be changed by user).When single chip computer measurement three-dimensional acceleration vector surpasses 3 times of acceleration due to gravity G values, and vehicle-state is short time when tilt state (tilt state is differentiated and as above narrated) subsequently, determines the generation of battery-driven car accident.Can produce accident alarming signal.The order of severity of accident is in accident generating process, and the greatest measure of three-dimensional acceleration vector determines.Three-dimensional acceleration vector summing numerical value=(G
x 2+ G
y 2+ G
z 2)
1/2
In above formula, G
x, G
yand G
zrepresent respectively X, Y and Z axis acceleration value.
(4) accident detail analysis
Described in having above, judge after battery-driven car accident the G in accident generating process
x, G
yand G
zdifference numerical value can judgement accident details.If i.e.: G
xchange greatly, frontal collision may occur, and G
xthe positive negative indication collision of numerical value occurs in the place ahead or rear; If G
ychange greatly, broadside impact may occur, and G
ythe positive negative indication collision of numerical value occurs in left or right-hand.Consider G
xand G
ynumerical value, not only can infer that orientation occurs in collision, also can represent that interaction strength when collision occurs is strong and weak.If G
znumerical value change is large, and fallen accident may occur Electrical Bicycle.
The beneficial effect of this patent is, can utilize acceleration pick-up, the generation of real-time judge Electrical Bicycle accident and the order of severity of accident, to monitor supervision platform, give the alarm in time, to complete the treating processs such as SMS notification user family members or contact car owner simultaneously, make to drive personnel and given treatment to fast, at utmost reduce personal casualty loss.
Accompanying drawing explanation
Below to attaching pictures and be described further in Figure of description.
In figure,
1, the warning device of acceleration pick-up and micro controller system is housed, and coordinate has represented three direction of principal axis that three dimension acceleration sensor is measured
2, normally place or the middle Electrical Bicycle that normally travels
3, warning device possibility installation site: rear seat for vehicle lower horizontal mode is installed
4, warning device possibility installation site: pedal of vehicles lower horizontal mode is installed
The specific embodiment
Be equipped with the annunciator (1) of three dimension acceleration sensor and micro controller system, can measure X, Y and Z-direction acceleration value, annunciator may be installed on back seat below (3) or the pedal below (4) of Electrical Bicycle (2), horizontal direction is installed, and can measure in real time three axial acceleration value of battery-driven car (2).
According to acceleration measurement numerical value, adopt previously described data processing method, can carry out detecting real-time and warning for the accident of battery-driven car generation in service.
Claims (1)
1. the data processing method of acceleration pick-up in an Electrical Bicycle accident autoalarm.Adopted the take off data of the three dimension acceleration sensor in Electrical Bicycle warning device, data have been processed, thereby accurately judged whether Electrical Bicycle has an accident in real time, and reported to the police and process.Its data processing method is characterized as:
(1) automatic learning process.
First micro controller system needs an automatic learning process.After three-dimensional acceleration sensing device (representing respectively XYZ axle) installation first, user need to allow Electrical Bicycle normally travel a period of time (such as a minute), the acceleration value of three dimensions of cpu statistics three dimension acceleration sensor output, three dimensions are averaging, draw the normal mean values of three dimension acceleration/accels.
This process, in the normal use procedure of warning device, can constantly repeat, and micro controller system constantly records numerical value, after a period of time, can automatically try to achieve the three-dimensional acceleration mean values of a period of time above, as normal acceleration numerical value.
During due to installation of sensors, general maintenance, approaches level, so in the normal laying state of vehicle (or the state that travels at the uniform speed), Z axis acceleration/accel approaches acceleration due to gravity G, is that XY axle acceleration has very little component values.
(2) topple over discriminating.
When single chip computer measurement X and Y-axis acceleration and surpass G numerical value half time, can conclude that vehicle topples over.X and Y-axis acceleration summation=(G
x 2+ G
y 2)
1/2.
In above formula, G
xand G
yrepresent respectively X and Y-axis acceleration value.
(3) three-dimensional acceleration threshold value comparison.
Can shift to an earlier date setting threshold, generally, this threshold value is 3 times of acceleration due to gravity numerical value, is 3G (this threshold value also can be changed by user).When single chip computer measurement three-dimensional acceleration vector surpasses 3 times of acceleration due to gravity G values, and vehicle-state is short time when tilt state (tilt state is differentiated and as above narrated) subsequently, determines the generation of battery-driven car accident.Can produce accident alarming signal.The order of severity of accident is in accident generating process, and the greatest measure of three-dimensional acceleration vector determines.Three-dimensional acceleration vector summing numerical value=(G
x 2+ G
y 2+ G
z 2)
1/2in above formula, G
x, G
yand G
zrepresent respectively X, Y and Z axis acceleration value.
(4) accident detail analysis
Described in having above, judge after battery-driven car accident the G in accident generating process
x, G
yand G
zdifference numerical value can judgement accident details.If i.e.: G
xchange greatly, frontal collision may occur, and G
xthe positive negative indication collision of numerical value occurs in the place ahead or rear; If G
ychange greatly, broadside impact may occur, and G
ythe positive negative indication collision of numerical value occurs in left or right-hand.Consider G
xand G
ynumerical value, not only can infer that orientation occurs in collision, also can represent that interaction strength when collision occurs is strong and weak.If G
znumerical value change is large, and fallen accident may occur Electrical Bicycle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310153541.3A CN104118500A (en) | 2013-04-28 | 2013-04-28 | Data processing method of acceleration sensor in automatic accident alarm device for electric bicycle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310153541.3A CN104118500A (en) | 2013-04-28 | 2013-04-28 | Data processing method of acceleration sensor in automatic accident alarm device for electric bicycle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104118500A true CN104118500A (en) | 2014-10-29 |
Family
ID=51764195
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310153541.3A Pending CN104118500A (en) | 2013-04-28 | 2013-04-28 | Data processing method of acceleration sensor in automatic accident alarm device for electric bicycle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104118500A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106981184A (en) * | 2017-03-20 | 2017-07-25 | 上海共佰克智能科技有限公司 | Bicycle collision checking method and system |
| CN107063247A (en) * | 2017-05-10 | 2017-08-18 | 北京拜克洛克科技有限公司 | The monitoring method and device of a kind of bicycle |
| CN107085229A (en) * | 2017-05-22 | 2017-08-22 | 李娜 | Collecting method |
| CN107571944A (en) * | 2017-08-30 | 2018-01-12 | 北京骑骑智享科技发展有限公司 | Alarm method and device |
| CN107677460A (en) * | 2017-09-06 | 2018-02-09 | 李星仪 | A kind of apparatus and method for monitoring bicycle brake performance |
| CN108284912A (en) * | 2017-01-10 | 2018-07-17 | 通用汽车环球科技运作有限责任公司 | System and method for detecting unexpected electric bicycle event |
| CN109305047A (en) * | 2018-09-29 | 2019-02-05 | 淮海机电科技股份有限公司 | A kind of motor vehicle dual-motor drive dynamic control device |
| CN110675606A (en) * | 2019-09-17 | 2020-01-10 | 武汉小安科技有限公司 | Electric vehicle alarm method and device, electric vehicle and storage medium |
-
2013
- 2013-04-28 CN CN201310153541.3A patent/CN104118500A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108284912A (en) * | 2017-01-10 | 2018-07-17 | 通用汽车环球科技运作有限责任公司 | System and method for detecting unexpected electric bicycle event |
| CN106981184A (en) * | 2017-03-20 | 2017-07-25 | 上海共佰克智能科技有限公司 | Bicycle collision checking method and system |
| CN107063247A (en) * | 2017-05-10 | 2017-08-18 | 北京拜克洛克科技有限公司 | The monitoring method and device of a kind of bicycle |
| CN107085229A (en) * | 2017-05-22 | 2017-08-22 | 李娜 | Collecting method |
| CN107085229B (en) * | 2017-05-22 | 2018-03-23 | 傅皓衍 | Collecting method |
| CN107571944A (en) * | 2017-08-30 | 2018-01-12 | 北京骑骑智享科技发展有限公司 | Alarm method and device |
| CN107677460A (en) * | 2017-09-06 | 2018-02-09 | 李星仪 | A kind of apparatus and method for monitoring bicycle brake performance |
| CN109305047A (en) * | 2018-09-29 | 2019-02-05 | 淮海机电科技股份有限公司 | A kind of motor vehicle dual-motor drive dynamic control device |
| CN110675606A (en) * | 2019-09-17 | 2020-01-10 | 武汉小安科技有限公司 | Electric vehicle alarm method and device, electric vehicle and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104118500A (en) | Data processing method of acceleration sensor in automatic accident alarm device for electric bicycle | |
| CN103640533B (en) | A kind of device and method based on vehicle collision rollover detection, automatic calling for help | |
| CN103043057B (en) | Abnormal driving based on vehicle position information judges and warning system | |
| CN106274779B (en) | A kind of detection method, device and its application of vehicle rollover and collision | |
| CN102774378B (en) | Vehicle rear-end collision early warning and guard method, system | |
| CN105197134A (en) | Bicycle riding safety monitoring device, as well as bicycle and riding safety monitoring method using bicycle riding safety monitoring device | |
| CN103612599B (en) | A kind of vehicle alarming system | |
| CN102745079B (en) | Detection system for automobile driver shoes and control method | |
| CN106627459B (en) | A kind of automotive safety warning and accident alarming and localization method based on smart machine | |
| CN107757541B (en) | Accident monitoring method and device | |
| CN103700160A (en) | Motor vehicle onboard terminal based on microsensor and driving behavior judgment method | |
| CN103057502B (en) | A kind of apparatus and method and automobile detecting vehicle instantaneous acceleration prompting automobile attitude | |
| CN201111726Y (en) | Motor vehicle peccancy electronic monitoring system | |
| KR100857820B1 (en) | Driver driving habit checking system and using method thereof | |
| CN201616167U (en) | Fatigue driving alarm system | |
| US20190147746A1 (en) | Device for identifying an accident situation of an open road vehicle | |
| CN107791943A (en) | The preceding collision warning systems and method for early warning of a kind of pure electric automobile | |
| CN102254451A (en) | Vehicle alarming system for preventing chain-reaction collision | |
| CN203318322U (en) | System for collecting automobile acceleration and mileage and reminding driver | |
| CN205737404U (en) | long standby location tracking system | |
| CN101996492A (en) | Communication method and system for onboard vehicle condition or environmental monitoring information | |
| CN105539642B (en) | traffic safety detection method and device | |
| CN109188024A (en) | A kind of collision based on three-axis sensor is tumbled anti-theft monitor | |
| CN203276480U (en) | Automatic alarm of automobile accidents | |
| CN203391574U (en) | Traffic safety control system based on tire pressure monitoring |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20141029 |