CN107632059A - Shared bicycle weld seam electromechanical detection method based on internet - Google Patents
Shared bicycle weld seam electromechanical detection method based on internet Download PDFInfo
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- CN107632059A CN107632059A CN201710779823.2A CN201710779823A CN107632059A CN 107632059 A CN107632059 A CN 107632059A CN 201710779823 A CN201710779823 A CN 201710779823A CN 107632059 A CN107632059 A CN 107632059A
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- weld seam
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Abstract
The present invention provides a kind of shared bicycle weld seam electromechanical detection method based on internet, and methods described includes step：S1, a hand-held set for being provided with probe is provided, the bicycle information of the shared bicycle is obtained by the hand-held set；S2, after the hand-held set enters detection interface, by the probe placement in commissure, obtain the magnetic field data of commissure in real time by the magnetic resistance sensor in the probe；S3, the magnetic field data is handled, obtain data processed result, and judge that the weld seam whether there is defect according to the data processed result, will determine that result is uploaded to cloud platform.Whole detection method is simple to operate, and testing result is accurate, and detection environment is relatively broad, and data real-time update facilitates user to grasp the real time status of each bicycle in cloud platform.
Description
Technical field
The present invention relates to mechanical detection field, more particularly to the shared bicycle weld seam electromechanical detection method based on internet.
Background technology
The conventional lossless detection method of weld seam detection includes Magnetic testing, Liquid penetrant testing, ultrasound detection, penetrated both at home and abroad at present
The detection method such as line detection and Magnetic memory testing.Capital equipment has lineman's detector, phased array detector etc..
Magnetic testing belongs to surface inspecting method, is merely able to detect surface and near surface flaw, can not for whole piece weld seam
Guarantee absolutely covers.Moreover, Magnetic testing is only adapted to ferrimagnet, and is that the commissure of stainless steel can not
Examinations.
Liquid penetrant testing belongs to surface inspecting method, and it is cumbersome, and some bleeding agents have certain toxicity, inadequate ring
Protect, using more limiting to.
Ultrasound detection practical application obtains comparative maturity, and corresponding professional standard is also complete to be capable of detecting when plane and solid type
Two class defects, testing staff simultaneously can incorporate experience into the size for providing defect.Nevertheless, but current ultrasound detection still by
It is limited to the factors such as blind area, coupling.
The result of ray detection is the most directly perceived, cheer and bright can find out defect, incorporate experience into, defect can be determined
Property, positioning.But ray detection needs radiographic source, cause detection efficiency very low, sensitivity is also slightly below ultrasound detection.Implementing to penetrate
Line needs to place the devices such as film, radiographic source during detecting, and is easily limited to detect environment and detects workpiece, and to area
The testing result of row defect can not reach expected requirement.
Therefore it provides a kind of strong adaptability and the good shared bicycle weld seam electromechanical detection method of Detection results, turn into current
Urgent problem to be solved.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of shared bicycle weld seam electromagnetic detection side based on internet
Method, to realize the high efficient detection to weld seam.
The technical scheme is that：Shared bicycle weld seam electromechanical detection method based on internet, methods described include
Step：
S1, a hand-held set for being provided with probe is provided, the bicycle information of the shared bicycle is obtained by the hand-held set；
S2, after the hand-held set enters detection interface, by the probe placement in commissure, by the probe
Magnetic resistance sensor obtains the magnetic field data of commissure in real time；
S3, the magnetic field data is handled, obtain data processed result, and judge according to the data processed result
The weld seam whether there is defect, will determine that result is uploaded to cloud platform.
Preferably, in step s3, the Rule of judgment of the weld seam existing defects is：
Or
Wherein, ZjFor the average value of magnetic field data described in jth group, wherein j is the positive integer more than 0,For all magnetic
The average value of field data, σ are the standard deviation of all magnetic field datas.
Preferably, using every 5 adjacent magnetic field datas as one group, then zjCalculation be：
Wherein, weld seam described in the scanning probe obtains the n magnetic field datas, is denoted as x1,x2,....,xn, by described in
Magnetic field data is divided into one group per adjacent 5 numbers and is divided into m groups altogether, and m and n are positive integer, and m span isIt is right
An average value is sought per adjacent 5 magnetic field datas, and records average value Zj。
Preferably, the bicycle information include car number, current vehicle position and vehicle in setting time whether
Detected information.
Preferably, between step S1 and step S2, in addition to process：Found after the bicycle information is obtained, it is described
Shared bicycle has been tested in setting time, then no longer performs step S2.
Preferably, the judged result is uploaded to the process of cloud platform in step S3 also includes step：
S31, when defect is not present in the weld seam, the car number, detection time and testing result are uploaded to
Cloud platform；
S32, when the weld seam existing defects, the hand-held set sends alarm, reminds user to protect detection image
Deposit and input rejected region numbering, and by the car number, the detection time, the testing result, the detection image
And the defect numbering is uploaded to the cloud platform.
Preferably, also include process in the step S32：Vehicle environmental information is obtained by the hand-held set in user
Afterwards, by the vehicle environmental information transmission to cloud platform.
Preferably, the hand-held set obtains the bicycle information from cloud platform.
Above-mentioned technical proposal has the following advantages that or beneficial effect：Whole detection method is simple to operate, and testing result is accurate,
It is relatively broad to detect environment, and data real-time update facilitates user to grasp the real time status of each bicycle in cloud platform.
Brief description of the drawings
With reference to appended accompanying drawing, more fully to describe embodiments of the invention.However, appended accompanying drawing be merely to illustrate and
Illustrate, and be not meant to limit the scope of the invention.
Fig. 1 is the schematic flow sheet one of the shared bicycle weld seam electromechanical detection method of the invention based on internet；
Fig. 2 is the schematic flow sheet two of the shared bicycle weld seam electromechanical detection method of the invention based on internet.
Embodiment
Below in conjunction with the accompanying drawings with specific embodiment to shared bicycle weld seam electromechanical detection method of the present invention based on internet
It is described in detail.
As shown in figure 1, a kind of shared bicycle weld seam electromechanical detection method based on internet, including step：
S1, a hand-held set is provided, bicycle information is obtained by the hand-held set；
S2, in hand-held set enter detection interface after, by the magneto-resistor of the hand-held set probe placement in commissure, the probe
Sensor obtains the magnetic field data of commissure in real time；
S3, magnetic field data is handled in real time, obtain data processed result, and the weldering is judged according to data processed result
Seam whether there is defect, and will determine that result is uploaded to cloud platform.
Specifically, in the above-mentioned shared bicycle weld seam electromechanical detection method based on internet, mainly using hand-held
Machine detects to commissure, before testing, it is also necessary to which, by hand-held set to obtain bicycle information, above-mentioned bicycle information includes
Car number, current vehicle position and vehicle in setting time whether be detected etc. information.In addition, the spy of hand-held set
Magnetic resistance sensor is provided with head, the induced field of commissure is detected by the magnetic resistance sensor, the magneto-resistor
Sensor is preferably TMR sensor (high sensitivity tunnel magneto resistance sensor).
For further, if found after bicycle information is obtained, the vehicle has been tested in setting time,
Do not continue to then perform step S2.
For further, in step S3, the Rule of judgment of weld seam existing defects is：
Or
Wherein, zjFor the average value of jth group magnetic field data, wherein j is the positive integer more than 0.For all magnetic field datas
Average value, σ are the standard deviation of all magnetic field datas.I.e. when in the weld data of acquisition, if there is the magnetic for meeting above-mentioned condition
Field data, then illustrate commissure existing defects corresponding to the magnetic field data.
For further, using every 5 adjacent magnetic field datas as one group, then zjCalculation be：
In addition, average valueCalculation be：
The calculation of standard deviation sigma is：
Wherein, the shared bicycle weld seam of scanning probe obtains n magnetic field data, is denoted as x1,x2,....,xn, probe is gathered
To magnetic field data be divided into one group per adjacent 5 numbers and be divided into m groups altogether (wherein, m and n is positive integer, and m span is), to seeking an average value per adjacent 5 magnetic field datas, and record average value Zj。
For further, as shown in Fig. 2 will determine that result is uploaded to the process of cloud platform and also included in above-mentioned steps S3：
S31, when defect is not present in weld seam, the car number, detection time and testing result are uploaded to cloud and put down
Platform；
S32, when weld seam existing defects, hand-held set sends alarm, and hand-held set reminds user to preserve detection image
And rejected region numbering is inputted, and by the car number, detection time, testing result, detection image and defect numbering
State to cloud platform.
For further, in step sl, hand-held set obtains the bicycle information of the bicycle from cloud platform.
For further, said process also includes process, after user obtains the vehicle environmental information by hand-held set, hand
Machine is held by the vehicle environmental information transmission to cloud platform.
Specifically, share after bicycle weld seam is magnetized by earth's magnetic field and produce induced field, and be superimposed upon gentle earth's magnetic field
On, if weld seam existing defects, around induced field caused by fault location is different from, the regional magnetic field produces a magnetic anomaly
.During shared bicycle commissure zero defect, changes of magnetic field is slow, and the two dimensional image curves that the magnetic field data collected is formed are put down
It is slow.When weld seam existing defects, when probe passes through fault location, magnetic field data change is fierce.Therefore, according to the principle, in utilization
The method of stating realizes the detection to sharing bicycle weld seam.Whole detection method is simple to operate, and testing result is accurate, detection environment compared with
To be extensive, and data real-time update facilitates user to grasp the real time status of each bicycle in cloud platform.
For a person skilled in the art, after reading described above, various changes and modifications undoubtedly will be evident.
Therefore, appended claims should regard whole variations and modifications of the true intention and scope that cover the present invention as.Weighing
Any and all scope and content of equal value, are all considered as still belonging to the intent and scope of the invention in the range of sharp claim.
Claims (8)
1. the shared bicycle weld seam electromechanical detection method based on internet, it is characterised in that methods described includes step：
S1, a hand-held set for being provided with probe is provided, the bicycle information of the shared bicycle is obtained by the hand-held set；
S2, after the hand-held set enters detection interface, by the probe placement in commissure, pass through the magnetoelectricity in the probe
Resistance sensor obtains the magnetic field data of commissure in real time；
S3, the magnetic field data is handled, obtain data processed result, and according to judging the data processed result
Weld seam whether there is defect, will determine that result is uploaded to cloud platform.
2. the shared bicycle weld seam electromechanical detection method according to claim 1 based on internet, it is characterised in that in step
In rapid S3, the Rule of judgment of the weld seam existing defects is：
Or
Wherein, zjFor the average value of magnetic field data described in jth group, wherein j is the positive integer more than 0,For all magnetic field numbers
According to average value, σ be all magnetic field datas standard deviation.
3. the shared bicycle weld seam electromechanical detection method according to claim 2 based on internet, it is characterised in that with every
5 adjacent magnetic field datas are as one group, then zjCalculation be：
<mrow>
<msub>
<mi>z</mi>
<mi>j</mi>
</msub>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mn>5</mn>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mi>k</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>4</mn>
</mrow>
</munderover>
<msub>
<mi>x</mi>
<mi>k</mi>
</msub>
</mrow>
Wherein, weld seam described in the scanning probe obtains the n magnetic field datas, is denoted as x1,x2,....,xn, by the magnetic field
Data are divided into one group per adjacent 5 numbers and are divided into m groups altogether, and m and n are positive integer, and m span isTo every phase
Adjacent 5 magnetic field datas seek an average value, and record average value Zj。
4. the shared bicycle weld seam electromechanical detection method according to claim 1 based on internet, it is characterised in that described
Bicycle information include car number, current vehicle position and vehicle in setting time whether detected information.
5. the shared bicycle weld seam electromechanical detection method according to claim 4 based on internet, it is characterised in that in step
Suddenly between S1 and step S2, in addition to process：Found after the bicycle information is obtained, the shared bicycle is in setting time
It has been be tested that, then no longer perform step S2.
6. the shared bicycle weld seam electromechanical detection method according to claim 4 based on internet, it is characterised in that step
The judged result is uploaded to the process of cloud platform in S3 also includes step：
S31, when defect is not present in the weld seam, the car number, detection time and testing result are uploaded to cloud and put down
Platform；
S32, when the weld seam existing defects, the hand-held set sends alarm, reminds user to preserve simultaneously detection image
Input rejected region numbering, and by the car number, the detection time, the testing result, the detection image and
The defect numbering is uploaded to the cloud platform.
7. the shared bicycle weld seam electromechanical detection method according to claim 6 based on internet, it is characterised in that in institute
Stating also includes process in step S32：After user obtains vehicle environmental information by the hand-held set, the vehicle environmental is believed
Breath is transferred to cloud platform.
8. the shared bicycle weld seam electromechanical detection method according to claim 1 based on internet, it is characterised in that described
Hand-held set obtains the bicycle information from cloud platform.
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| JPH08160005A (en) * | 1994-12-01 | 1996-06-21 | Hihakai Kensa Kk | Flaw detector for magnetic element with nonmagnetic layer and apparatus and method for detecting flaw of the element |
| JP2004163288A (en) * | 2002-11-13 | 2004-06-10 | Mitsubishi Heavy Ind Ltd | Device for extracting data on nondestructive inspection and collecting system using the device |
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| CN205764543U (en) * | 2016-05-26 | 2016-12-07 | 天津比尔莱斯运动器材有限公司 | A kind of cycle frame steel-pipe welding and detection device |
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Application publication date: 20180126 |