CN114166386A - Pipeline stress detection method and system based on edge calculation - Google Patents
Pipeline stress detection method and system based on edge calculation Download PDFInfo
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- CN114166386A CN114166386A CN202111461950.0A CN202111461950A CN114166386A CN 114166386 A CN114166386 A CN 114166386A CN 202111461950 A CN202111461950 A CN 202111461950A CN 114166386 A CN114166386 A CN 114166386A
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- 238000001514 detection method Methods 0.000 title claims abstract description 25
- 238000004364 calculation method Methods 0.000 title description 4
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- 238000000034 method Methods 0.000 claims abstract description 12
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- 239000004744 fabric Substances 0.000 claims description 4
- 238000005507 spraying Methods 0.000 claims 1
- 238000004451 qualitative analysis Methods 0.000 abstract description 2
- 238000004445 quantitative analysis Methods 0.000 abstract description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 7
- 230000000694 effects Effects 0.000 description 5
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- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 239000002737 fuel gas Substances 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress, in general
- G01L1/24—Measuring force or stress, in general by measuring variations of optical properties of material when it is stressed, e.g. by photoelastic stress analysis using infrared, visible light, ultraviolet
Abstract
The invention relates to a pipeline stress detection method, a terminal device and a storage medium, wherein the method comprises the following steps: s1: arranging a stress luminescent material on the outer surface of a detected area of the pipeline, and converting the stress on the detected area into an optical signal with corresponding magnitude through the stress luminescent material; s2: the optical signal emitted by the stress luminescent material is converted into a corresponding electrical signal by the photoelectric sensor and then transmitted to the processing terminal; s3: and after the processing terminal receives the electric signal, filtering the electric signal through a filter, and obtaining the stress corresponding to the detected area of the pipeline according to the size of the filtered electric signal. The invention can effectively reduce the influence of the noise of the optical sensor on the detection result, and is easier to realize quantitative and qualitative analysis.
Description
Technical Field
The invention relates to the field of pipeline safety, in particular to a pipeline stress detection method and system based on edge calculation.
Background
With the development of social economy science and technology, various engineering projects such as bridges, pipelines and the like are more and more in quantity, and various safety problems such as bridge collapse, pipeline breakage and the like follow the engineering projects, so that normal production and life of people are influenced slightly, life and property safety of people is harmed seriously, and major personnel and property loss is caused. Among them, the pipeline plays an important role in production and life, and the fluid in the pipeline includes fuel gas, toxic and harmful substances and the like besides conventional water and air. Once leakage occurs, serious safety accidents can be caused, so that the pipeline safety is an important guarantee for the life and property safety of people.
After the pipe wall of the pipeline is corroded, when the fluid passes through the pipeline, the stress and the deformation of the fluid can be changed, so that the detection of the pipeline stress is an important link in the pipeline safety detection. The existing detection method mainly comprises an acoustic wave distance measurement technology, an electric imaging technology, an X-ray imaging technology and an optical fiber detection technology. Recently, new functional materials such as stress luminescent materials have also been applied to crack sensing systems for crack detection due to their in situ real-time properties. However, the existing stress luminescence detection is high in cost, the required detection equipment is high in professional degree and precision requirement, the influence of an external light source and noise is high in practical application, and the detected stress luminescence peak is easily covered by noise.
Disclosure of Invention
In order to solve the problems, the invention provides a pipeline stress detection method and system based on edge calculation.
The specific scheme is as follows:
a pipeline stress detection method comprises the following steps:
s1: arranging a stress luminescent material on the outer surface of a detected area of the pipeline, and converting the stress on the detected area into an optical signal with corresponding magnitude through the stress luminescent material;
s2: the optical signal emitted by the stress luminescent material is converted into a corresponding electrical signal by the photoelectric sensor and then transmitted to the processing terminal;
s3: and after the processing terminal receives the electric signal, filtering the electric signal through a filter, and obtaining the stress corresponding to the detected area of the pipeline according to the size of the filtered electric signal.
Further, the method for arranging the stress luminescent material on the outer surface of the detected area of the pipeline comprises the step of manufacturing the stress luminescent material into a film to be attached to the outer surface of the detected area of the pipeline, or manufacturing the stress luminescent material into a coating to be sprayed on the outer surface of the detected area of the pipeline.
Further, the photoelectric sensor adopts a photomultiplier tube.
Further, the filter is a Savitzky-Golay filter.
Further, step S1 includes disposing the measured area of the pipeline and the photoelectric sensor in a dark box, and laying a layer of light-shielding cloth outside the dark box.
A pipeline stress detection system, comprising: the system comprises a pipeline, a stress luminescent material, a photoelectric sensor and a processing terminal, wherein the system realizes the steps of the method provided by the embodiment of the invention.
The invention adopts the technical scheme and has the following beneficial effects:
1. the cost is low, the intelligent level is high, and the stress luminescence sensor data can be rapidly processed in a real-time filtering mode;
2. the influence of the noise of the optical sensor on the detection result is effectively reduced, and quantitative and qualitative analysis is easier to realize.
Drawings
Fig. 1 is a flowchart illustrating a first embodiment of the present invention.
Fig. 2 is a diagram showing the result of the fast fourier transform of the signal in this embodiment.
Fig. 3 is a diagram showing the filtering effects of the original signal, the butterworth filter and the Savitzky-Golay filter in this embodiment.
Fig. 4 is a schematic diagram showing the stress detection result of the outer side of the pipe bend in this embodiment.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The first embodiment is as follows:
the embodiment of the invention provides a pipeline stress detection method, as shown in fig. 1, the method comprises the following steps:
s1: the stress luminescent material is arranged on the outer surface of the detected area of the pipeline, and the stress intensity of the detected area is converted into an optical signal with corresponding intensity through the stress luminescent material.
The stress luminescent material is selected to have good repeatability and high sensitivity, and in the embodiment, according to different pipelines, the stress luminescent material is made into a film and attached to the outer surface of the detected area of the pipeline, or the stress luminescent material is made into a coating and sprayed on the outer surface of the detected area of the pipeline.
S2: and after the optical signal emitted by the stress luminescent material is converted into a corresponding electrical signal by the photoelectric sensor, the corresponding electrical signal is transmitted to a processing terminal.
A photosensor is a device that converts an optical signal into an electrical signal. Since the intensity of the optical signal converted by the stress luminescent material is small in this embodiment, a photomultiplier tube that can convert a weak optical signal into an electrical signal is preferably used.
S3: and after the processing terminal receives the electric signal, filtering the electric signal through a filter, and obtaining the stress corresponding to the detected area of the pipeline according to the size of the filtered electric signal.
The processing terminal can be a common PC.
When the received electrical signal is tested, it is found that the interference influence of noise on the signal is large, and therefore, the embodiment further includes performing noise reduction processing on the electrical signal by a filtering method.
Before the filter is selected, the electric signal needs to be analyzed, in the specific analysis method, the waveform of the electric signal is subjected to fast fourier transform, the time domain waveform of the electric signal is converted into the frequency domain waveform, the frequency domain characteristic of the electric signal is known according to the frequency domain waveform, and the frequency band characteristic of the filter is determined.
Fig. 2 shows the result of the fast fourier transform of the signal. It can be seen that in the frequency domain, the amplitude of the signal is concentrated in the low frequency band, and therefore, a low pass filter should be used in the selection of the band filter.
There are many common band pass filters, such as Butterworth (Butterworth) filters, Chebyshev (Chebyshev) filters, Elliptic (eliptic) filters, and the like. Unlike the band pass filter described above, the filtering process of the Savitzky-Golay filter occurs in the time domain, and the basic principle is to achieve smoothing and noise reduction effects on the signal wave by moving the window and least squares fitting of a polynomial. Specifically, M +1 points of the left point and the right point of the fitting point form a window, an n-order polynomial is constructed according to the window, the optimal fitting point is achieved by solving the polynomial, and points with overlarge differences from a normal trend line are discarded in the fitting process, so that the functions of smoothing and noise reduction are achieved.
As shown in fig. 3, experimental verification results of the filtering effects of the butterworth filter and the Savitzky-Golay filter show that the effect of the Savitzky-Golay filter reduces signal noise and ensures that the signal is not distorted; the signal distortion phenomenon of the butterworth filter is very serious, wherein the reason is that the transition band of the butterworth filter is longer, the longer transition band may cause more serious distortion phenomenon, and the waveform of the signal in the low frequency band and the sine cosine wave is different, and the difference cannot be avoided by adopting a point-by-point analysis mode. The Savitzky-Golay filter is preferably chosen for filtering in this embodiment.
The corresponding relationship between the filtered electrical signal and the stress level of the measured area can be obtained through experimental data performed in advance, for example, the stress with different known levels is applied to the measured area of the pipeline, and the corresponding electrical signal level is obtained through the method of the embodiment.
Because the light intensity that stress luminescent material sent is less in actual measurement, consequently receive external light's interference easily, in order to overcome this technical problem, the preferred setting in this embodiment all sets up the measured region and the photoelectric sensor of pipeline in a camera bellows, and lays one deck shading cloth in the outside of camera bellows, can ensure the shading effect through camera bellows and shading cloth dual shading measure, guarantees the accuracy of detection.
FIG. 4 shows the results of stress measurements on the outside of the pipe bend under a water flow of 1.0MPa pressure. It can be seen that the stress luminescence phenomenon and peak caused by water flow are still more obvious in the original signal. Under the impact of water flow, the stress luminous intensity returns to the afterglow decay curve after reaching the peak value, and the result phenomenon is similar to the continuous cycle test result. Furthermore, we have found that under the influence of noise, the peak portions of the two signal curves of 1.5MPa and 1MPa almost overlap, and the difference is hard to be reflected in the signal wave with a long time span. Therefore, after filtering the signal wave in this embodiment, the influence of the background noise is removed by using a baseline method and the time range is narrowed to the peak signal range. It can be seen that the stress luminous intensity caused by the water flow of 1.5MPa is higher than that of the water flow of 1MPa, and the stress luminous intensity of the stress luminous film at the elbow of the pipeline is affected by the intensity of the water flow.
Example two:
the invention also provides a pipeline stress detection system, a pipeline, a stress luminescent material, a photoelectric sensor and a processing terminal, wherein the system realizes the steps in the method embodiment of the first embodiment of the invention.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (6)
1. A pipeline stress detection method is characterized by comprising the following steps:
s1: arranging a stress luminescent material on the outer surface of a detected area of the pipeline, and converting the stress on the detected area into an optical signal with corresponding magnitude through the stress luminescent material;
s2: the optical signal emitted by the stress luminescent material is converted into a corresponding electrical signal by the photoelectric sensor and then transmitted to the processing terminal;
s3: and after the processing terminal receives the electric signal, filtering the electric signal through a filter, and obtaining the stress corresponding to the detected area of the pipeline according to the size of the filtered electric signal.
2. The pipeline stress detection method of claim 1, wherein: the method for arranging the stress luminescent material on the outer surface of the detected area of the pipeline comprises the steps of manufacturing the stress luminescent material into a film and attaching the film to the outer surface of the detected area of the pipeline, or manufacturing the stress luminescent material into a coating and spraying the coating on the outer surface of the detected area of the pipeline.
3. The pipeline stress detection method of claim 1, wherein: the photoelectric sensor adopts a photomultiplier.
4. The pipeline stress detection method of claim 1, wherein: the filter is a Savitzky-Golay filter.
5. The pipeline stress detection method of claim 1, wherein: step S1 further includes disposing the measured area of the pipeline and the photoelectric sensor in a dark box, and laying a layer of light-shielding cloth outside the dark box.
6. A pipeline stress detection system, comprising: a pipe, a stress luminescent material, a photoelectric sensor and a processing terminal, wherein the system realizes the steps of the method according to any one of claims 1-5.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS63302339A (en) * | 1987-06-02 | 1988-12-09 | Mitsubishi Electric Corp | Impact pressure detector |
| JP2010024395A (en) * | 2008-07-23 | 2010-02-04 | Tokyo Univ Of Agriculture & Technology | Pressure-sensitive coating material, object, and method for measuring surface pressure of object |
| CN105005978A (en) * | 2015-07-15 | 2015-10-28 | 天津大学 | Spectrum real-time filtering method based on Savitzky-Golay filter parameter optimization |
| CN105938031A (en) * | 2016-04-15 | 2016-09-14 | 上海洞舟实业有限公司 | Pressure light-emitting sensor thin film |
| CN109798448A (en) * | 2019-03-06 | 2019-05-24 | 中国计量大学 | Concrete duct leakage experiment device and method based on anti-Stokes light filtering |
| CN111735798A (en) * | 2020-07-21 | 2020-10-02 | 深圳大雷汽车检测股份有限公司 | Tail gas black smoke measuring system |
| CN113432765A (en) * | 2021-05-11 | 2021-09-24 | 中国科学院福建物质结构研究所 | Force-induced luminescence measurement system and measurement method |
-
2021
- 2021-12-02 CN CN202111461950.0A patent/CN114166386A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS63302339A (en) * | 1987-06-02 | 1988-12-09 | Mitsubishi Electric Corp | Impact pressure detector |
| JP2010024395A (en) * | 2008-07-23 | 2010-02-04 | Tokyo Univ Of Agriculture & Technology | Pressure-sensitive coating material, object, and method for measuring surface pressure of object |
| CN105005978A (en) * | 2015-07-15 | 2015-10-28 | 天津大学 | Spectrum real-time filtering method based on Savitzky-Golay filter parameter optimization |
| CN105938031A (en) * | 2016-04-15 | 2016-09-14 | 上海洞舟实业有限公司 | Pressure light-emitting sensor thin film |
| CN109798448A (en) * | 2019-03-06 | 2019-05-24 | 中国计量大学 | Concrete duct leakage experiment device and method based on anti-Stokes light filtering |
| CN111735798A (en) * | 2020-07-21 | 2020-10-02 | 深圳大雷汽车检测股份有限公司 | Tail gas black smoke measuring system |
| CN113432765A (en) * | 2021-05-11 | 2021-09-24 | 中国科学院福建物质结构研究所 | Force-induced luminescence measurement system and measurement method |
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