CN114544043A - Multi-steel stress detection device and method - Google Patents

Multi-steel stress detection device and method Download PDF

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CN114544043A
CN114544043A CN202210110613.5A CN202210110613A CN114544043A CN 114544043 A CN114544043 A CN 114544043A CN 202210110613 A CN202210110613 A CN 202210110613A CN 114544043 A CN114544043 A CN 114544043A
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stress
pipeline
steel
residual magnetic
plate
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CN114544043B (en
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赵弘
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China University of Petroleum Beijing
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01LMEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L1/00Measuring force or stress, in general
    • G01L1/12Measuring force or stress, in general by measuring variations in the magnetic properties of materials resulting from the application of stress
    • G01L1/127Measuring force or stress, in general by measuring variations in the magnetic properties of materials resulting from the application of stress by using inductive means
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B62LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62DMOTOR VEHICLES; TRAILERS
    • B62D57/00Vehicles characterised by having other propulsion or other ground- engaging means than wheels or endless track, alone or in addition to wheels or endless track
    • B62D57/02Vehicles characterised by having other propulsion or other ground- engaging means than wheels or endless track, alone or in addition to wheels or endless track with ground-engaging propulsion means, e.g. walking members
    • B62D57/028Vehicles characterised by having other propulsion or other ground- engaging means than wheels or endless track, alone or in addition to wheels or endless track with ground-engaging propulsion means, e.g. walking members having wheels and mechanical legs
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B7/00Measuring arrangements characterised by the use of electric or magnetic techniques
    • G01B7/02Measuring arrangements characterised by the use of electric or magnetic techniques for measuring length, width or thickness
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    • G01MEASURING; TESTING
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    • G01N27/80Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating mechanical hardness, e.g. by investigating saturation or remanence of ferromagnetic material
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Abstract

The invention provides a multi-steel stress detection device, a method and a storage medium, wherein the multi-steel stress detection device can be arranged in a pipeline and comprises an inner detector, a Hall sensor arranged on a base and a probe is adopted to detect residual magnetic signals in the pipeline; the single chip microcomputer is electrically connected with the internal detector and used for storing and converting the residual magnetism signals into stress signals by adopting the established multi-steel-grade residual magnetism and stress models; the stroke detection assembly comprises a guide wheel and a Hall proximity sensor which are arranged on the base, and the Hall proximity sensor and one of the guide wheels form a mileage wheel for recording the moving stroke of the multi-steel stress detection device. According to the invention, residual magnetism existing on the pipeline after magnetic flux leakage detection is utilized, the theoretical relationship between the residual magnetism and stress of three kinds of pipeline steel, namely St52 steel, X70 steel and X80 steel is researched, and a multi-steel stress detection device is adopted to act in the pipeline to finish the detection of the internal stress of the pipeline, so that the residual magnetism signal changes obviously along with the stress, the detection mode is simple, the safety is high, and the efficiency is high.

Description

Multi-steel stress detection device and method
Technical Field
The invention belongs to the technical field of nondestructive testing, and particularly relates to a multi-steel stress testing device and method and a computer readable storage medium.
Background
At present, nondestructive testing methods for pipeline stress are various, and among them, magnetic flux leakage detection, weak magnetic detection, ultrasonic detection, eddy current detection, and the like are widely used. The magnetic flux leakage detection method has more research achievements, low requirements on detection environment and common application in the industry, but the detector of the magnetic flux leakage detection method cannot meet the actual requirements of a construction site, needs to be further improved to improve the detection capability, has low detection sensitivity and can only be used for surface detection. The weak magnetic detection method does not need to excite the pipeline, and has the advantages of simple equipment, quick operation and the like, but the magnetic field intensity is weak, and the detection precision of a sensor is high. The ultrasonic flaw detection method can carry out high-precision and high-sensitivity detection on site, is slightly influenced by environmental factors, has high technical requirement and cannot intuitively reflect the state of a damaged part of a detected piece. The eddy current flaw detection method is frequently used in practical engineering, can detect workpieces with poor surface conditions on site, and has the defects that the stress of a pipeline cannot be deeply detected and the influence of the size of the pipeline is large.
Disclosure of Invention
Aiming at the defects or shortcomings in the prior art, the invention provides a multi-steel stress detection device, a multi-steel stress detection method and a computer readable storage medium, so as to solve the technical problems that the nondestructive detection method for pipeline stress in the prior art is low in sensitivity and limited in detection environment.
In order to achieve the above object, the present invention provides a multi-steel stress detection method, which can be built in a pipeline and includes:
a base;
the inner detector is arranged on the base and detects residual magnetic signals in the pipeline by using a probe;
the single chip microcomputer is electrically connected with the internal detector and used for storing and converting the residual magnetism signals into stress signals by utilizing residual magnetism and stress models of various steel types; and
and the stroke detection assembly comprises a guide wheel and a Hall proximity sensor which are arranged on the base, and a mileage wheel which is jointly formed by the guide wheel and the Hall proximity sensor is used for recording the moving stroke of the multi-steel stress detection device.
In an embodiment of the invention, the internal detector comprises a probe and two Hall sensors arranged on the probe, wherein the two Hall sensors are vertically distributed and are respectively used for detecting residual magnetic signals of the pipeline in the axial direction and the circumferential direction.
In an embodiment of the invention, the guide wheel and the base are elastically connected.
In an embodiment of the present invention, a multi-steel stress detection method is further provided, where the multi-steel stress detection apparatus is adopted, and the multi-steel stress detection method includes:
intercepting a plurality of plates to be detected with residual magnetism of the multi-steel pipeline;
collecting residual magnetic signals on the surface of the plate to be detected and converting the residual magnetic signals into residual magnetic induction intensity;
converting the residual magnetic induction intensity of the plate to be detected into the stress on the surface of the pipeline;
and judging the stress concentration level and the risk degree of the pipeline according to the relation between the residual magnetic induction strength and the stress.
In an embodiment of the present invention, the step of converting the residual magnetic induction strength of the plate to be measured into the stress on the surface of the pipe includes:
obtaining the plate stress and the residual magnetic induction strength of a plurality of points to be measured in each plate to be measured;
analyzing the relationship between the plate stress and the residual magnetic induction strength of a plurality of points to be measured in the plate to be measured, and acquiring a mathematical model between the plate stress and the residual magnetic induction strength;
and importing a mathematical model into a program of the single chip microcomputer, and converting the residual magnetic induction intensity into a stress value of the pipeline.
In an embodiment of the present invention, the step of analyzing a relationship between plate stress and residual magnetic induction strength of a plurality of points to be measured in the plate to be measured, and obtaining a mathematical model between the plate stress and the residual magnetic induction strength includes:
respectively detecting the residual magnetic induction strength and the plate stress of each point to be detected of the plate to be detected in the X direction and the Y direction;
and performing linear regression on the residual magnetic induction strength and the plate stress of the plate to be detected in the X direction and the Y direction, and acquiring a mathematical model between the residual magnetic induction strength and the plate stress by adopting a response surface analysis method.
In an embodiment of the present invention, the step of determining the stress concentration level and the risk degree of the pipe according to the relationship between the residual magnetic induction strength and the stress includes:
selecting two stress detection points on the pipeline, and acquiring the stress difference and the distance between the two stress detection points;
calculating the stress gradient value of each measuring line according to the stress difference and the distance between the two stress detection points;
calculating the stress gradient average value of each measuring line according to the stress gradient value of each measuring line;
acquiring stress gradient parameters according to the stress gradient value and the stress gradient average value of each measuring line;
and judging the stress concentration level and the risk degree according to the stress gradient parameter.
In an embodiment of the present invention, the stress gradient parameter can be calculated by the following formula:
Figure BDA0003494973810000031
wherein,
Figure BDA0003494973810000032
wherein m is a stress gradient parameter, Δ σ is a stress difference between two detection points, Δ x is a distance between the two detection points, α is a stress gradient coefficient, K is a stress gradient coefficientsiA stress gradient value for each measurement point; ks aveAnd N is the stress signal number on one detection line for the average value of the stress gradient of each measurement line.
In an embodiment of the present invention, the step of determining the stress concentration level and the risk degree according to the magnitude of the stress gradient parameter includes:
when m is less than 1.0, the stress concentration level is a normal level, and no risk exists for the safe operation of the pipeline;
when m is more than 1.0 and less than 2.0, the stress concentration level is an abnormal level, and the risk degree of the influence on the safe operation of the pipeline is low;
when m is more than 2.0 and less than 3.0, the stress concentration level is a risk level, and the risk degree influencing the safe operation of the pipeline is a medium risk;
when m is greater than 3.0, the stress concentration level is a hazard level, and the risk degree of the influence on the safe operation of the pipeline is high risk.
In an embodiment of the present invention, a computer-readable storage medium is also presented, on which a computer program is stored, which computer program, when executed by a processor, implements the multi-steel stress detection method as described above.
Through the technical scheme, the multi-steel stress detection device provided by the embodiment of the invention has the following beneficial effects:
when the stress of the pipeline needs to be detected, firstly, remanence magnetization processing is carried out on the pipeline, then the stress detection device for multiple steel types is inserted into the pipeline, an inner detector detects remanence signals in the pipeline and sends the remanence signals to a single chip microcomputer, and the single chip microcomputer receives the remanence signals and converts the remanence signals into the stress, so that the stress of the pipeline is detected; because the length of pipeline is longer, in order to improve pipeline stress detection precision, whole many steel grades of stress detection device moves along the extending direction of pipeline under the drive of guide pulley, and the stroke that the mileage wheel moved in real time recording, carries out stress detection to a plurality of positions of pipeline through the probe to realize stress detection's precision. The invention utilizes the residual magnetism existing on the pipeline after the magnetic flux leakage detection, researches the theoretical relationship between the residual magnetism and the stress, adopts the stress detection device of multiple steel types to be inserted in the pipeline to complete the detection of the internal stress of the pipeline, has obvious residual magnetism signal change along with the stress, and has simple detection mode, high safety and high efficiency.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide an understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic structural diagram of a multi-steel stress detection device according to an embodiment of the invention;
fig. 2 is a schematic flow chart of a stress detection method for multiple steel grades according to an embodiment of the invention.
Description of the reference numerals
Reference numerals Name (R) Reference numerals Name (R)
10 Base seat 30 Hall proximity sensor
11 Middle axle plate 40 Guide wheel
12 Middle shaft seat 50 Single chip microcomputer
20 Probe head 60 Mileage wheel
21 Probe cover
Detailed Description
The following detailed description of specific embodiments of the invention refers to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative and explanatory of the invention and are not restrictive thereof.
The stress detection apparatus and method for multiple steel grades according to the present invention will be described below with reference to the accompanying drawings.
Referring to fig. 1, in an embodiment of the present invention, there is provided a multi-steel stress detection apparatus that can be built in a pipe and includes:
a base 10;
the inner detector is arranged on the base 10 and is used for detecting residual magnetic signals in the pipeline;
the single chip microcomputer 50 is electrically connected with the internal detector and used for storing and converting the residual magnetism signal into a stress signal; and
the stroke detection assembly comprises a guide wheel 40 and a Hall proximity sensor 30 which are arranged on the base 10, wherein the guide wheel 40 and the Hall proximity sensor 30 form a mileage wheel 60 for recording the moving stroke of the multi-steel stress detection device.
The hall proximity sensor 30 and one of the guide wheels 40 together form a odometer wheel 60 structure for recording the travel of the entire sensing device moving within the pipe.
When the stress of the pipeline needs to be detected, firstly, remanence magnetization processing is carried out on the pipeline, then the stress detection device for multiple steel types is inserted into the pipeline, an inner detector detects remanence signals in the pipeline and sends the remanence signals to the single chip microcomputer 50, and the single chip microcomputer 50 receives the remanence signals and converts the remanence signals into stress, so that the stress of the pipeline is detected; because the length of pipeline is longer, in order to improve pipeline stress detection accuracy, whole many steel grades of stress detection device moves along the extending direction of pipeline under the drive of leading wheel 40, and hall proximity sensor 30 real-time recording travel that removes, through carrying out stress detection to a plurality of positions of pipeline to realize stress detection's precision. Preferably, the pipeline is a high steel grade pipeline of St52, X70 and X80. The invention utilizes the residual magnetism existing on the pipeline after the magnetic flux leakage detection, researches the theoretical relationship between the residual magnetism and the stress, adopts the stress detection device of multiple steel types to be inserted in the pipeline to complete the detection of the internal stress of the pipeline, has obvious residual magnetism signal change along with the stress, and has simple detection mode, high safety and high efficiency.
In an embodiment of the present invention, the internal detector comprises a probe 20 and two hall sensors mounted on the probe 20, wherein the two hall sensors are respectively used for detecting the residual magnetic signals of the axial direction and the circumferential direction of the pipeline. A probe cover 21 for protecting the probe 20 from damage during movement is mounted on the outer periphery of the probe 20. Wherein, two hall sensor can guarantee to detect accurately in lifting away from height 5 mm. And the two hall sensors are respectively installed in the probe 20, and the two hall sensors are vertically distributed and used for respectively detecting residual magnetic signals in the axial direction and the circumferential direction.
In the embodiment of the present invention, the guide wheel and the base 10 are elastically connected by an elastic member. Specifically, the base 10 includes a central shaft seat 12 and a central shaft plate 11 mounted on the central shaft seat 12, and the central shaft seat 12 and the central shaft plate 11 are fixed as the base 10 of the whole detection device; the periphery of the center shaft seat 12 forms a triangular structure, that is, the periphery of the center shaft seat 12 has three faces, each face is fixedly provided with two guide wheels 40, and the guide wheels 40 and the center shaft plate 11 are supported by springs and can be compressed when the springs are stressed, so that the guide wheels 40 have adjusting spaces in the movement process. In addition, two batteries are fixedly mounted on one surface of the middle shaft seat 12 and used for supplying power to the single chip microcomputer 50.
In an embodiment of the present invention, a multi-steel stress detection method is further provided, where the multi-steel stress detection apparatus is adopted, and as shown in fig. 2, the multi-steel stress detection method includes:
step S10: intercepting a plurality of plates to be detected with residual magnetism of the multi-steel pipeline;
step S20: collecting residual magnetic signals on the surface of a plate to be detected and converting the residual magnetic signals into residual magnetic induction intensity;
step S30: converting the residual magnetic induction intensity of the plate to be detected into the stress on the surface of the pipeline;
step S40: and judging the stress concentration level and the risk degree of the pipeline according to the relation between the residual magnetic induction strength and the stress.
According to the invention, a plurality of residual magnetism plates to be detected in a pipeline are intercepted, and then a Hall sensor in a stress detection device is adopted to collect residual magnetism signals on the surfaces of the plates to be detected and convert the residual magnetism signals into residual magnetism induction intensity; the single chip microcomputer 50 converts the residual magnetic induction intensity of the plate to be detected into a stress value of the surface of the pipeline, and finally judges the stress concentration level and the risk degree of the pipeline according to the stress value, so that the purpose of performing risk early warning on the defects of the pipeline can be achieved on the premise of accurately detecting the stress of the pipeline.
In an embodiment of the present invention, the step of converting the residual magnetic induction strength of the plate to be measured into the stress on the surface of the pipe includes:
obtaining the plate stress and the residual magnetic induction strength of a plurality of points to be measured in each plate to be measured;
analyzing the relationship between the plate stress and the residual magnetic induction strength of a plurality of points to be measured in the plate to be measured, and acquiring a mathematical model between the plate stress and the residual magnetic induction strength;
the mathematical model is imported into the program of the single chip microcomputer 50, and the residual magnetic induction strength is converted into the stress value of the pipeline.
In an embodiment of the present invention, the step of analyzing a relationship between plate stress and residual magnetic induction strength of a plurality of points to be measured in the plate to be measured, and obtaining a mathematical model between the plate stress and the residual magnetic induction strength includes:
respectively detecting the residual magnetic induction strength and the plate stress of each point to be detected of the plate to be detected in the X direction and the Y direction;
and performing linear regression on the residual magnetic induction strength and the plate stress of the plate to be detected in the X direction and the Y direction, and acquiring a mathematical model between the residual magnetic induction strength and the plate stress to be detected by adopting a response surface analysis method.
In a magnetic field, the magnetic induction B, the magnetic field strength H and the magnetization M are continuous functions closely related to the state of the magnetic field:
B=μ(H+M) (1)
where μ is the permeability of the material.
As can be seen from the formula (1), when the intensity H of the external magnetic field is reduced to 0, the remanence B is increasedrThe size is muMNow, the variation relationship of the magnetic permeability μ and the stress σ is discussed.
According to the theory of electromagnetic field, the following:
Figure BDA0003494973810000081
in the formula,. DELTA.EuAmount of change in magnetic energy, BTFor induction without stress, BσIs the magnetic induction under stress.
When the ferromagnetic material is subjected to a stress sigma, the stress energy E generated thereinσComprises the following steps:
Figure BDA0003494973810000082
in which theta is the angle between the stress direction and the magnetization direction, and lambdaσThe anisotropy coefficient.
According to the law of conservation of energy:
Figure BDA0003494973810000083
Bσ=μ0μσH (5)
BT=μ0μTH (6)
the following can be obtained in a simultaneous manner:
Figure BDA0003494973810000084
according to hooke's law for ferromagnetic materials there are:
σΔxΔy=BTBσ (8)
mΔxΔy=Bm 2 (9)
the following can be obtained in a simultaneous manner:
Figure BDA0003494973810000085
formula (10) may be substituted for formula (7):
Figure BDA0003494973810000086
in the formula ofσIs the relative permeability under stress, mu0Is a vacuum permeability, muTAs initial permeability, BmTo saturate the magnetic induction, λmIs the saturated magnetostrictive strain.
Finishing to obtain:
Figure BDA0003494973810000087
equation (12) is a relationship between the relative permeability and the stress, and it can be seen from equation (1) that the magnetic induction increases with an increase in the stress only under the condition where the stress changes.
In order to further determine the corresponding relation between the residual magnetism induction strength and the stress, the residual magnetism induction strength and the stress are analyzed by a response surface method, three steel plates of X70, X80 and St52 of the pipeline are cut off from the actual pipeline, the plates are subjected to residual magnetism magnetization treatment by a direct current magnetizer, and residual magnetism signals on the surfaces of the plates can be detected by utilizing the established experimental platform. A plurality of sampling points are selected on each plate at preset distances, the sampling points comprise the sampling points on a welding seam, the two ends of the welding seam and other comparison points, residual magnetic signals of the sampling points in the X direction and the Y direction of the plate are collected by a Hall sensor, and then the stress of the plate in the X direction (transverse direction of the plate) and the stress of the plate in the Y direction (longitudinal direction of the plate) are detected by an X-ray diffractometer.
TABLE 1X 70 sheet stress sigma and remanence Brx、BryAnd the relation of the distance S of the sampling point
Figure BDA0003494973810000091
The distance S is the distance between a detection point of the plate and a welding seam of the plate, and the detection points are symmetrically selected according to the left and right of the welding seam, so that the distance between the detection point on the left side is negative, the distance between the detection point on the right side is positive, and the welding seam is 0.
With residual magnetic induction intensity Brx、BryThe X-direction sheet stress and the Y-direction sheet stress are dependent variables, and the variable B in Table 1 isrx、BryAnd the response results σ obtained in the testx、σyThe response surface method analysis is carried out to respectively obtain sigmaxσ y and Brx、BryMathematical model in between:
σx=325.24107-534.14043Brx-6038.8212Bry+9048.70443BrxBry (13)
σy=-52.5799-217.66534Brx-2097.35257Bry+6214.80856BrxBry (14)
TABLE 2X 80 sheet stress sigma and remanence Brx、BryAnd the relation of the distance S of the sampling point
Figure BDA0003494973810000101
The variable B in Table 2rx、BryAnd the response results σ obtained in the testx、σyThe response surface method analysis is carried out to respectively obtain sigmax、σyAnd Brx、BryMathematical model in between:
σx=1534.11751-1773.11907Brx-10311.08662Bry+10988.45316BrxBry (15)
σy=-787.84356+777.47655Brx+479.61661Bry (16)
TABLE 3 St52 sheet stress σ and remanence Brx、BryAnd the relation of the distance S of the sampling point
Figure BDA0003494973810000102
Figure BDA0003494973810000111
The variable B in Table 3rx、BryAnd the response results σ obtained in the testx、σyThe response surface method analysis is carried out to respectively obtain sigmax、σyAnd Brx、BryMathematical model in between:
Figure BDA0003494973810000114
Figure BDA0003494973810000115
the above is the corresponding relationship between the stress and the remanence of the steel X70, X80 and St 52.
After a mathematical model between the plate stress and the residual magnetism induction strength of each plate is obtained, the relation between the steel stress and the residual magnetism induction strength of the three pipelines is imported into a single chip microcomputer 50 program of a stress detection system, a magnetic field signal of a Hall sensor on a probe 20 is collected through an ADC-voltage collection module, the residual magnetism induction strength detected by the Hall sensor is converted into the stress by the single chip microcomputer 50, and the stress detection of the stress detection device on the pipelines is realized.
In an embodiment of the present invention, the step of determining the stress concentration level and the risk degree of the pipe according to the relationship between the residual magnetic induction strength and the stress includes:
selecting two stress detection points on the pipeline, and acquiring the stress difference and the distance between the two stress detection points;
calculating the stress gradient value of each measuring line according to the stress difference and the distance between the two stress detection points;
calculating the stress gradient average value of each measuring line according to the stress gradient value of each measuring line;
acquiring stress gradient parameters according to the stress gradient value and the stress gradient average value of each measuring line;
and judging the stress concentration level and the risk degree according to the stress gradient parameter.
In the embodiment of the present invention, the stress gradient parameter can be calculated by the following formula:
Figure BDA0003494973810000112
wherein,
Figure BDA0003494973810000113
wherein m is a stress gradient parameter, Δ σ is a stress difference between two detection points, Δ x is a distance between the two detection points, α is a stress gradient coefficient, K is a stress gradient coefficientsiA stress gradient value for each measurement point; ks aveFor each average of the measured line stress gradients, N is the number of stress signals on one test line.
The specific derivation process is as follows:
stress gradient parameter m of the evaluation stress signal can be deduced according to the magnetic parameter of the evaluation magnetic signal, and the stress concentration degree can be quantitatively evaluated by analyzing the parameter m. The stress gradient value Ks is the stress gradient value of each measurement line:
Figure BDA0003494973810000121
in the formula, Δ σ is a stress difference between two detection points, and Δ x is a distance between the two detection points. Wherein, Δ x is the mileage number that can obtain each point detection through mileage wheel 60 on the detecting system, and then this device is also at the uniform velocity motion, and the distance of every two check points can be obtained to the total length of pipeline divided by the number of points detected, then stress gradient parameter m defines as:
Figure BDA0003494973810000122
wherein α is the stress gradient coefficient, KsiA stress gradient value for each measurement point; ks aveThe mean value of the stress gradient for each measured line.
Figure BDA0003494973810000123
In an embodiment of the present invention, the step of determining the stress concentration level and the risk degree of the pipe according to the relationship between the residual magnetic induction strength and the stress includes:
when m is less than 1.0, the stress concentration level is a normal level, and no risk exists for the safe operation of the pipeline;
when m is more than 1.0 and less than 2.0, the stress concentration level is an abnormal level, and the risk degree of the influence on the safe operation of the pipeline is low;
when m is more than 2.0 and less than 3.0, the stress concentration level is a risk level, and the risk degree influencing the safe operation of the pipeline is a medium risk;
when m is greater than 3.0, the stress concentration level is a hazard level, and the risk degree of the influence on the safe operation of the pipeline is high risk.
The stress concentration levels were classified into four levels, and the corresponding risk states are shown in table 4.
Table 4 stress concentration degree and corresponding risk degree evaluation table
Figure BDA0003494973810000131
Through come to stress concentration grade according to the stress result and divide, the effect of risk early warning is played in the use of pipeline that can be fine to improve the life of pipeline, in time discover the defect, prevent more serious loss.
In an embodiment of the present invention, a computer-readable storage medium is also presented, on which a computer program is stored, which computer program, when executed by a processor, implements the multi-steel stress detection method as described above.
In the description of the present invention, it is to be understood that the terms "first", "second" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; may be mechanically coupled, may be electrically coupled or may be in communication with each other; they may be directly connected or indirectly connected through intervening media, or they may be interconnected within two elements or in a relationship where two elements interact with each other unless otherwise specifically limited. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (10)

1. The utility model provides a many steel grades stress detection device which characterized in that, many steel grades stress detection device can place in the pipeline and include:
a base (10);
an internal detector mounted on the base (10) and detecting a residual magnetic signal in the pipeline with a probe (20);
the single chip microcomputer (50) is electrically connected with the internal detector and used for storing and converting the residual magnetism signals into stress signals by utilizing residual magnetism and stress models of multiple steel types; and
the stroke detection assembly comprises a guide wheel (40) and a Hall proximity sensor (30) which are installed on a base (10), wherein a mileage wheel (60) which is formed by the guide wheel (40) and the Hall proximity sensor (30) is used for recording the moving stroke of the multi-steel stress detection device.
2. The multi-steel stress detection device according to claim 1, wherein the inner detector comprises the probe (20) and two Hall sensors mounted on the probe (20), wherein the two Hall sensors are vertically distributed and are respectively used for detecting the residual magnetic signals of the pipeline in the axial direction and the circumferential direction.
3. The multi-steel stress detection device according to claim 1, wherein the guide wheel is elastically connected with the base (10).
4. A multi-steel stress detection method, characterized in that the multi-steel stress detection device according to any one of claims 1 to 3 is used for detection, and the multi-steel stress detection method comprises the following steps:
intercepting a plurality of plates to be detected with residual magnetism of the multi-steel pipeline;
collecting residual magnetic signals on the surface of the plate to be detected and converting the residual magnetic signals into residual magnetic induction intensity;
converting the residual magnetic induction intensity of the plate to be detected into the stress on the surface of the pipeline;
and judging the stress concentration level and the risk degree of the pipeline according to the relation between the residual magnetic induction strength and the stress.
5. The multi-steel stress detection method according to claim 4, wherein the step of converting the residual magnetic induction strength of the plate to be detected into the stress of the surface of the pipeline comprises the following steps:
obtaining the plate stress and the residual magnetic induction strength of a plurality of points to be measured in each plate to be measured;
analyzing the relationship between the plate stress and the residual magnetic induction strength of a plurality of points to be measured in the plate to be measured, and acquiring a mathematical model between the plate stress and the residual magnetic induction strength;
and importing a mathematical model into a program of the single chip microcomputer (50), and converting the residual magnetism induction intensity into a stress value of the pipeline.
6. The multi-steel stress detection method according to claim 5, wherein the step of analyzing the relationship between the sheet stress and the residual magnetic induction strength of the plurality of points to be measured in the sheet to be measured and obtaining the mathematical model between the sheet stress and the residual magnetic induction strength comprises the steps of:
respectively detecting the residual magnetic induction strength and the plate stress of each point to be detected of the plate to be detected in the X direction and the Y direction;
and performing linear regression on the residual magnetic induction strength and the plate stress of the plate to be detected in the X direction and the Y direction, and acquiring a mathematical model between the residual magnetic induction strength and the plate stress to be detected by adopting a response surface analysis method.
7. The multi-steel stress detection method according to claim 4, wherein the step of determining the stress concentration level and the risk degree of the pipe according to the relation between the residual magnetic induction strength and the stress comprises:
selecting two stress detection points on the pipeline, and acquiring the stress difference and the distance between the two stress detection points;
calculating the stress gradient value of each measuring line according to the stress difference and the distance between the two stress detection points;
calculating the stress gradient average value of each measuring line according to the stress gradient value of each measuring line;
acquiring stress gradient parameters according to the stress gradient value and the stress gradient average value of each measuring line;
and judging the stress concentration level and the risk degree according to the stress gradient parameter.
8. The multi-steel stress detection method of claim 7, wherein the stress gradient parameter is calculated by the following formula:
Figure FDA0003494973800000031
wherein,
Figure FDA0003494973800000032
wherein m is a stress gradient parameter, Δ σ is a stress difference between two detection points, and Δ x is a stress difference between two detection pointsDistance between, alpha is the stress gradient coefficient, KsiA stress gradient value for each measurement point; ks aveFor each average of the measured line stress gradients, N is the number of stress signals on one test line.
9. The multi-steel stress detection method according to claim 8, wherein the step of judging the stress concentration level and the risk degree according to the magnitude of the stress gradient parameter comprises:
when m is less than 1.0, the stress concentration level is a normal level, and no risk exists for the safe operation of the pipeline;
when m is more than 1.0 and less than 2.0, the stress concentration level is an abnormal level, and the risk degree of the influence on the safe operation of the pipeline is low;
when m is more than 2.0 and less than 3.0, the stress concentration level is a risk level, and the risk degree influencing the safe operation of the pipeline is a medium risk;
when m is greater than 3.0, the stress concentration level is a hazard level, and the risk degree of the influence on the safe operation of the pipeline is high risk.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method for stress detection of multiple steel grades according to any one of claims 4 to 9.
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Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2719507Y (en) * 2004-04-07 2005-08-24 陈炯 In-pipe robot
CN203324225U (en) * 2012-08-21 2013-12-04 上海海碧电子科技有限公司 Metal magnetic memory detector
CN205404778U (en) * 2016-03-07 2016-07-27 翁光远 Steel stress detection device
WO2016197972A1 (en) * 2015-06-12 2016-12-15 宁波市鄞州磁泰电子科技有限公司 Method, device and apparatus for detecting pipeline defect
CN108663432A (en) * 2018-05-15 2018-10-16 天津大学 Device for detecting tiny defects of pipeline and method for detecting centers and diameters of defects
CN109580046A (en) * 2018-12-03 2019-04-05 沈阳工业大学 A kind of micro- magnetic signal detection method in ferromagnetic component stress concentration region
CN109681785A (en) * 2019-01-18 2019-04-26 陕西泰诺特检测技术有限公司 A kind of Non-contact Magnetic stress mornitoring system and application method
CN110793852A (en) * 2019-11-08 2020-02-14 沈阳工业大学 Pipeline stress internal detection method based on complex stress state model
CN111307031A (en) * 2020-03-16 2020-06-19 西南石油大学 Buried pipeline safety state monitoring and early warning method
CN112985647A (en) * 2021-02-08 2021-06-18 天津大学 Pipeline bending stress detection device
CN214197766U (en) * 2020-09-03 2021-09-14 张家港市光武智能科技有限公司 Airborne Rayleigh wave and lamb wave robot for detecting and monitoring conditions of complex system in pipeline
CN113933381A (en) * 2021-11-10 2022-01-14 国家石油天然气管网集团有限公司 Pipeline stress internal detection method based on strong and weak magnetic detection method

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2719507Y (en) * 2004-04-07 2005-08-24 陈炯 In-pipe robot
CN203324225U (en) * 2012-08-21 2013-12-04 上海海碧电子科技有限公司 Metal magnetic memory detector
WO2016197972A1 (en) * 2015-06-12 2016-12-15 宁波市鄞州磁泰电子科技有限公司 Method, device and apparatus for detecting pipeline defect
CN205404778U (en) * 2016-03-07 2016-07-27 翁光远 Steel stress detection device
CN108663432A (en) * 2018-05-15 2018-10-16 天津大学 Device for detecting tiny defects of pipeline and method for detecting centers and diameters of defects
CN109580046A (en) * 2018-12-03 2019-04-05 沈阳工业大学 A kind of micro- magnetic signal detection method in ferromagnetic component stress concentration region
CN109681785A (en) * 2019-01-18 2019-04-26 陕西泰诺特检测技术有限公司 A kind of Non-contact Magnetic stress mornitoring system and application method
CN110793852A (en) * 2019-11-08 2020-02-14 沈阳工业大学 Pipeline stress internal detection method based on complex stress state model
CN111307031A (en) * 2020-03-16 2020-06-19 西南石油大学 Buried pipeline safety state monitoring and early warning method
CN214197766U (en) * 2020-09-03 2021-09-14 张家港市光武智能科技有限公司 Airborne Rayleigh wave and lamb wave robot for detecting and monitoring conditions of complex system in pipeline
CN112985647A (en) * 2021-02-08 2021-06-18 天津大学 Pipeline bending stress detection device
CN113933381A (en) * 2021-11-10 2022-01-14 国家石油天然气管网集团有限公司 Pipeline stress internal detection method based on strong and weak magnetic detection method

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