CN106678549B - A kind of pipe detection data processing method - Google Patents
A kind of pipe detection data processing method Download PDFInfo
- Publication number
- CN106678549B CN106678549B CN201510745604.3A CN201510745604A CN106678549B CN 106678549 B CN106678549 B CN 106678549B CN 201510745604 A CN201510745604 A CN 201510745604A CN 106678549 B CN106678549 B CN 106678549B
- Authority
- CN
- China
- Prior art keywords
- data
- detection data
- vibration
- leakage detector
- pipe
- 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.)
- Active
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
Abstract
The invention discloses one kind can reduce the influence vibrated to detection data, improves the pipe detection data processing method of detection data accuracy of quantitative analysis.Include the following steps: the detection data under 1. acquisitions, processing ideal operating condition without friction；2. the detection data under multiple vibration condition is simulated in acquisition；3. pair two groups of data carry out quantitative analysis, obtain between vibration condition and ideal operating condition, the functional relation of detection data；4. acquiring the detection data of actual condition；5. calculating more accurate actual condition detection data by obtained functional relation.The present invention is suitable for oil-gas pipeline defects detection or other detection operations affected by vibration, and the precision of such detection data can be improved.
Description
Technical field
The present invention relates to detection data processing method field, more particularly to it is vibrated including pipeline defect detection
The detection data optimized treatment method of influence.
Technical background
Pipe-line is influenced by interior media burn into external environmental factor, human factor in the process of running,
The defects of being also easy to produce deformation, corrosion or damage, need periodically to detect pipeline, find these defects in time, prevent
Oil and gas leakage.Pipe leakage detector is common more satisfactory detection instrument, but actually detected operation will receive a variety of
Vibration caused by part influences, and leads to the accuracy decline for acquiring data, influences Data Analysis Services.
Summary of the invention
In response to the problems existing in the prior art, the purpose of the present invention is to provide one kind to improve detection data precision by quantization
Detection data processing method.
Monitoring data processing method of the invention, includes the following steps:
(1) select the pipe leakage detector for containing multichannel probe as experimental tool；
(2) in laboratory conditions, interference operating condition without friction is simulated, the vibrating sensor in pipe leakage detector is acquired
Detection data A；
(3) in laboratory conditions, the vibration interference operating condition of a variety of acceleration is simulated, multiple groups pipe leakage detector is acquired
In vibrating sensor vibration data B；
(4) data A and multiple groups vibration data B are compared respectively, analytical calculation obtains the COEFFICIENT K between each group of data；
(5) under actual working conditions, on-site test is carried out, acquires the practical inspection of vibrating sensor in pipe magnet leakage detector
Measured data；
(6) the actually detected data of the vibrating sensor arrived on-site test are segmented, by practical inspection by node of variation range
Measured data is multiplied with corresponding COEFFICIENT K, the detection data A ' after being optimized.
Above scheme further comprises:
(1) select a kind of pipe leakage detector for being uniformly distributed circumferentially 12 vibrating sensors as experimental tool；
(2) under the conditions of without friction in laboratory, No. 12 vibrating sensor detection data A, A=[A are acquired1 A2 A3 A4
A5 A6 A7 A8 A9 A10 A11 A12]；
(3) also in laboratory, 10 groups of vibrations, vibration acceleration G=G are applied to pipe leakage detector1、G2、
G3、G4、G5、G6、G7、G8、G9、G10, make pipe leakage detector under this 10 groups of Vibration Conditions, experimental channel examined respectively
It surveys, acquires 10 groups of vibration datas B, B=B of No. 12 vibrating sensors1、B2、B3、B4、B5、B6、B7、B8、B9、B10；
(4) respectively by data A and 10 groups of vibration data B1、B2、B3、B4、B5、B6、B7、B8、B9、B10It compares, analytical calculation
Obtain the COEFFICIENT K between each group of data1、K2、K3、K4、K5、K6、K7、K8、K9、K10；
(5) under actual working conditions, on-site test is carried out, acquires the practical inspection of vibrating sensor in pipe magnet leakage detector
Measured data；
(6) the actually detected data of the vibrating sensor arrived on-site test are segmented by G value integer node, are rounded up, then
It is multiplied respectively with corresponding K value, obtains the on-site test data A ' after optimization processing.
The functional relation that the present invention is obtained using inverting, by calculate can quantitatively realization to the optimization of detection data at
Reason, improves whole detection precision, and method is simple and easy, high-efficient, has wide application prospect.
Detailed description of the invention
Fig. 1 is pipe leakage detector rearview；
In figure:
1, vibrating sensor (also referred to as probe) 2, feeler lever 3, detector steel body.
Specific embodiment
Invention is further described below by specific embodiment:
Select it is a kind of be uniformly distributed circumferentially 12 probe pipe leakage detector as experimental tool, to experimental channel
It is detected, 12 tunnels, which are popped one's head in, respectively corresponds 12 points of clock, and data subscript does not represent specific probe channel number, but generation
12 hour numbers of table.
In laboratory, under the conditions of without friction, pop one's head in detection data A, A=[A on acquisition 12 tunnels1 A2 A3 A4 A5 A6 A7
A8 A9 A10 A11 A12], number corresponding 12 of data it is different when the hour.Also in laboratory, detector is applied
10 groups of vibrations, vibration acceleration G=G1、G2、G3、G4、G5、G6、G7、G8、G9、G10, make detector in this 10 groups of Vibration Conditions
Under, experimental channel is detected respectively, 10 groups of detection data B of 12 roads of acquisition probe, as shown in table 1
1 vibration detection data of table
Reduction formula of the A=KB as data A, B is selected, A, B data is brought into the formula respectively, calculates corresponding COEFFICIENT K
Value.Under the vibration of the same G value, the vibration of 12 different clocks points is different, therefore COEFFICIENT K corresponding with each hour is respectively not
It is identical.Specific K value is as shown in table 2
2 vibration data of table corresponds to K value
After obtaining specific K value, on-site test is carried out, collected detection data is segmented by G value integer node, to
Upper rounding, then be multiplied respectively with corresponding K value, obtain the on-site test data A ' after optimization processing.
Experiment discovery is tried by multiple on-site test, detection data precision, and method can be effectively improved with the method for the present invention
Simply, suitable for detection occasion affected by vibration.
Claims (2)
1. a kind of pipe detection data processing method, characterized by comprising:
(1) select the pipe leakage detector for containing multichannel probe as experimental tool；
(2) in laboratory conditions, interference operating condition without friction is simulated, the vibrating sensor detection in pipe leakage detector is acquired
Data A；
(3) in laboratory conditions, the vibration interference operating condition of a variety of acceleration is simulated, is acquired in multiple groups pipe leakage detector
Vibrating sensor vibration data B；
(4) data A and multiple groups vibration data B are compared respectively, analytical calculation obtains the COEFFICIENT K between each group of data；
(5) under actual working conditions, on-site test is carried out, acquires the actually detected number of vibrating sensor in pipe magnet leakage detector
According to；
(6) the actually detected data of the vibrating sensor arrived on-site test are segmented by node of variation range, round up, obtain
To data B ', actually detected data B ' is multiplied with corresponding COEFFICIENT K, the detection data A ' after being optimized；
(7) A '=K B ' is obtained, actually in calculating, K is known quantity, and B ' is measured value, and A ' is calculated value, and A ', B ' can be replaced
A, B selects A=KB as data reduction formula.
2. pipe detection data processing method as described in claim 1, it is characterised in that: (1) select a kind of circumferentially uniform
The pipe leakage detector of 12 vibrating sensors is distributed as experimental tool；
(2) under the conditions of without friction in laboratory, acquisition No. 12 vibrating sensor detection data A, A=；
(3) also in laboratory, 10 groups of vibrations are applied to pipe leakage detector, vibration acceleration is G=G1, G2, G3,
G4, G5, G6, G7, G8, G9, G10 make pipe leakage detector under this 10 groups of Vibration Conditions, examine respectively to experimental channel
It surveys, acquires 10 groups of vibration data B, B=B1, B2, B3, B4, B5, B6, B7, B8, B9, B10 of No. 12 vibrating sensors；
(4) data A and 10 groups of vibration datas B1, B2, B3, B4, B5, B6, B7, B8, B9, B10 are compared respectively, analytical calculation
Obtain COEFFICIENT K 1 between each group of data, K2, K3, K4, K5, K6, K7, K8, K9, K10；
It translates
(5) under actual working conditions, on-site test is carried out, acquires the actually detected number of vibrating sensor in pipe magnet leakage detector
According to；
(6) the actually detected data of the vibrating sensor arrived on-site test are segmented by G value integer node, are rounded up, then distinguish
It is multiplied with corresponding K value, obtains the on-site test data A ' after optimization processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510745604.3A CN106678549B (en) | 2015-11-05 | 2015-11-05 | A kind of pipe detection data processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510745604.3A CN106678549B (en) | 2015-11-05 | 2015-11-05 | A kind of pipe detection data processing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106678549A CN106678549A (en) | 2017-05-17 |
| CN106678549B true CN106678549B (en) | 2019-05-17 |
Family
ID=58857789
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510745604.3A Active CN106678549B (en) | 2015-11-05 | 2015-11-05 | A kind of pipe detection data processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106678549B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107327635A (en) * | 2017-07-18 | 2017-11-07 | 贵州大学 | A kind of pipeline configuration equipped with shale gas leak detection module |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102307323A (en) * | 2009-04-20 | 2012-01-04 | 华为技术有限公司 | Method for modifying sound channel delay parameter of multi-channel signal |
| WO2013001385A1 (en) * | 2011-06-28 | 2013-01-03 | International Business Machines Corporation | Vibration monitoring system |
| CN103047540A (en) * | 2011-09-14 | 2013-04-17 | 中国石油天然气集团公司 | Natural gas pipe leakage monitoring optical path system based on optical fiber sensing |
| CN104266084A (en) * | 2014-09-22 | 2015-01-07 | 天津大学 | Distributed optical fiber sensor based tracking and positioning method of detector in oil conveying pipe |
-
2015
- 2015-11-05 CN CN201510745604.3A patent/CN106678549B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102307323A (en) * | 2009-04-20 | 2012-01-04 | 华为技术有限公司 | Method for modifying sound channel delay parameter of multi-channel signal |
| WO2013001385A1 (en) * | 2011-06-28 | 2013-01-03 | International Business Machines Corporation | Vibration monitoring system |
| CN103047540A (en) * | 2011-09-14 | 2013-04-17 | 中国石油天然气集团公司 | Natural gas pipe leakage monitoring optical path system based on optical fiber sensing |
| CN104266084A (en) * | 2014-09-22 | 2015-01-07 | 天津大学 | Distributed optical fiber sensor based tracking and positioning method of detector in oil conveying pipe |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106678549A (en) | 2017-05-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106197970B (en) | A kind of bridge rope monitoring method and system based on optimization tensioning string model | |
| CN110161421B (en) | Method for reconstructing battery impedance in set frequency range on line | |
| DK1702559T3 (en) | Method and method for analyzing glucose metabolism | |
| CN105067239B (en) | The beam crack fault detection means and method vibrated based on swept frequency excitation | |
| ATE386252T1 (en) | METHOD AND DEVICE FOR MEASURING A MEASURED OBJECT | |
| CN107590321B (en) | Integral measurement method for pipeline vibration response | |
| WO2007038754A3 (en) | Gene expression profiling for identification monitoring and treatment of rheumatoid arthritis | |
| EP1785702A3 (en) | Method and device for measuring gas meter and volume corrector accuracy | |
| CN114676736B (en) | Method for predicting surface quality of rolled workpiece | |
| ATE514955T1 (en) | METHOD AND APPARATUS FOR EVALUATION OF THE DEGREE OF SURFACE CONTAMINATION OF A MEDIUM/HIGH VOLTAGE OUTDOOR INSULATOR | |
| WO2009001545A1 (en) | Method for detection or treatment of graft versus host disease | |
| EP2182364A3 (en) | Sample analyzer and calibration method of sample analyzer | |
| CN109708861A (en) | A kind of automobile exhaust pipe thermal vibration detection method and detection system, computer program | |
| CN101871974A (en) | Impedance spectroscopy measurement method | |
| CN106678549B (en) | A kind of pipe detection data processing method | |
| WO2008023370A3 (en) | A non-destructive on-line method for measuring predetermined physical, electrochemical, chemical or biological state transformation of a substance and a system thereof | |
| CN103995147B (en) | A kind of Data Post Processing System being applicable to acoustic Doppler velocimetry and application | |
| JP2006220629A (en) | Internal impedance measuring device for storage battery, and internal impedance measuring method of the storage battery | |
| CN108717098A (en) | A method of improving mixed gas concentration accuracy of detection | |
| CN108241021B (en) | Rolling bearing detection method and device | |
| CN115855165B (en) | Multi-dimensional precision point inspection method and system for thermal power equipment | |
| CN106124740A (en) | It is used for determining the method for the parameter characterizing fuel antiknock ability and detecting device accordingly | |
| CN111337452A (en) | Method for verifying feasibility of spectral data model transfer algorithm | |
| WO2007041197A3 (en) | Method and system for enabling automated data analysis of multiple commensurate nondestructive test measurements | |
| CN107178710B (en) | It is a kind of based on it is inside and outside detection signal characteristic abstraction defect of pipeline inside and outside discrimination method |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20230605 Address after: 100728 No. 22 North Main Street, Chaoyang District, Beijing, Chaoyangmen Patentee after: SINOPEC Group Patentee after: SINOPEC OILFIELD SERVICE Corp. Patentee after: SINOPEC SHENGLI PETROLEUM ENGINEERING Co.,Ltd. Patentee after: SINOPEC SHENGLI PETROLEUM ENGINEERING CO., LTD. DRILLING TECHNOLOGY Research Institute Address before: 100101 Beichen West Road, Chaoyang District, Beijing 8 Beichen world center, block A 703. Patentee before: SINOPEC OILFIELD SERVICE Corp. Patentee before: SINOPEC SHENGLI PETROLEUM ENGINEERING Co.,Ltd. Patentee before: SINOPEC SHENGLI PETROLEUM ENGINEERING CO., LTD. DRILLING TECHNOLOGY Research Institute |