CN115193756A - Elbow ovality qualified detection method and detection system - Google Patents
Elbow ovality qualified detection method and detection system Download PDFInfo
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- CN115193756A CN115193756A CN202211129964.7A CN202211129964A CN115193756A CN 115193756 A CN115193756 A CN 115193756A CN 202211129964 A CN202211129964 A CN 202211129964A CN 115193756 A CN115193756 A CN 115193756A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21C—MANUFACTURE OF METAL SHEETS, WIRE, RODS, TUBES OR PROFILES, OTHERWISE THAN BY ROLLING; AUXILIARY OPERATIONS USED IN CONNECTION WITH METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL
- B21C51/00—Measuring, gauging, indicating, counting, or marking devices specially adapted for use in the production or manipulation of material in accordance with subclasses B21B - B21F
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21D—WORKING OR PROCESSING OF SHEET METAL OR METAL TUBES, RODS OR PROFILES WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21D3/00—Straightening or restoring form of metal rods, metal tubes, metal profiles, or specific articles made therefrom, whether or not in combination with sheet metal parts
- B21D3/14—Recontouring
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Abstract
The invention discloses a method and a system for detecting the eligibility of a bent pipe, which relate to the technical field of bent pipe section measurement and comprise the following steps: establishing a database; acquiring a first ovality D1 of a bent pipe to be detected in an initial state; acquiring a second ovality D2 of the bent pipe after the pipe is completely rounded, and judging whether the second ovality D2 is smaller than a first preset ovality value; judging whether the second ovality D2 of the bent pipe qualified in the initial inspection is larger than a second preset ovality value; and judging that the ovality of the bent pipe is within a qualified interval according to the result, outputting a detection qualified signal, acquiring the full circle stroke S of the bent pipe, and storing the full circle stroke S, the first ovality D1 and the second ovality D2 into a database. The invention has the advantages that: a novel eligibility testing means is provided based on the elbow rounding process, real-time updating and learning can be carried out according to actual processing detection data, and more accurate detection data and parameters are output.
Description
Technical Field
The invention relates to the technical field of elbow section measurement, in particular to a qualified detection method and a detection system for the ovality of an elbow.
Background
In the modern times, petroleum, chemical and nuclear power industries are increasingly developed, metal pipelines with various specifications are more or less used in the industries, a large number of metal bent pipes exist in the pipelines, and the bent pipes often have the phenomenon of elliptical cross sections in the bent sections after being formed, the phenomenon directly causes unstable flow of fluid in the pipelines, forms vibration and impacts on the pipelines, valves and the like, so the metal bent pipes often need to be shaped after being formed, and the ovality of the cross sections of the bent sections reaches a certain index.
The detection system is required to be arranged to check the ellipticity of the bent pipe after shaping in the bending process of the bent pipe, the existing detection technical means can only carry out simple and repeated size detection generally, then the feedback detection is qualified or unqualified, the detection data cannot be integrated and calculated, and then the optimal shaping parameters are output, so that the steps of rounding, detecting and rounding for each bent pipe are required to be carried out repeatedly in the bending process, the detection system cannot be intelligentized, and the overall efficiency is low.
Disclosure of Invention
In order to solve the technical problems, the technical scheme solves the problems that the existing detection technical means can only carry out simple and repeated size detection generally, then feedback detection is qualified or unqualified, integrated calculation cannot be carried out on detection data, and then optimal shaping parameters are output, so that in the process of shaping the bent pipe, multiple steps of rounding, detection and rounding are required to be carried out repeatedly for each bent pipe, the detection system cannot be intelligentized, and the overall efficiency is low.
In order to achieve the above purposes, the technical scheme adopted by the invention is as follows:
a method for detecting the eligibility of a bent pipe comprises the following steps:
establishing a database;
acquiring a first ovality D1 of a bent pipe to be detected in an initial state, judging whether the first ovality D1 reaches a preset ovality value, if so, outputting a detection qualified signal, and otherwise, outputting a detection unqualified signal;
acquiring a second ovality D2 of the bent pipe after the pipe is completely round, and judging whether the second ovality D2 is smaller than a first preset ovality value or not;
if the second ovality D2 is smaller than the first preset ovality value, the initial inspection is qualified;
if the second ovality D2 is larger than the first preset ovality value, the initial detection is unqualified, and a detection unqualified signal is output;
judging whether the second ovality D2 of the bent pipe qualified in the initial inspection is larger than a second preset ovality value;
if the second ovality D2 of the bent pipe qualified by the initial inspection is larger than a second preset ovality value, the ovality of the bent pipe is within a qualified interval, a qualified detection signal is output, meanwhile, the full circle stroke S of the bent pipe is obtained, and the full circle stroke S, the first ovality D1 and the second ovality D2 are stored in a database;
if the second ovality D2 of the bent pipe qualified in the initial detection is smaller than a second preset ovality value, the ovality of the bent pipe is in an over-complete-circle state, and a detection scrapping signal is output.
Preferably, the storing the full circle stroke S, the first ellipticity D1, and the second ellipticity D2 into the database specifically includes:
establishing a first ellipticity set A consisting of first ellipticity D1 of a plurality of bent pipes to be detected;
establishing a full circle stroke set B consisting of full circle strokes S of a plurality of bent pipes to be detected;
adding the first ovality D1 of the bent pipe qualified in the detection into the first ovality set A;
judging whether the first ellipticity D1 is an outlier or not according to the added first ellipticity D1, if so, not responding, and if not, adding a full circle stroke S corresponding to the first ellipticity D1 into a full circle stroke set B;
calculating a first ellipticity D1 healthy interval according to all non-outliers in the first ellipticity set A;
calculating according to the elements in the latest full circle stroke set B to obtain the optimal full circle stroke data
；
And establishing and storing a mapping relation of the full circle stroke S, the first ellipticity D1 and the second ellipticity D2.
Preferably, the specific step of determining whether the first ellipticity D1 is an outlier according to the added first ellipticity D1 is as follows:
sequentially arranging elements in the first ellipticity set A from small to large, setting a detection level alpha, and obtaining a critical value bp (n) of skewness detection;
calculating an observed value bs of the added first ellipticity D1, and judging whether bs is larger than a critical value bp (n), if so, the first ellipticity D1 is an outlier, and if not, the first ellipticity D1 is not the outlier.
Preferably, the observed value bs of the first ellipticity D1 is calculated by:
wherein n is the ordinal number of the added first ellipticity D1 in the first ellipticity set A from small to large,
the elements in the first ellipticity set a that are arranged before the added first ellipticity D1 in descending order,
is the average of all the elements in the first set of ovalities a.
Preferably, the optimal round trip data
The calculation method comprises the following steps:
wherein m is the number of elements in the full circle stroke set B,
are elements in the full circle run set B.
Preferably, the method for detecting the first ovality of the elbow comprises the following steps of obtaining the first ovality D1 of the elbow to be detected in the initial state, judging whether the first ovality D1 reaches a preset ovality value, outputting a detection qualified signal if the first ovality D1 reaches the preset ovality value, and outputting a detection unqualified signal if the first ovality D1 does not reach the preset ovality value:
judging whether the first ovality D1 of the unqualified elbow to be detected is within the first ovality D1 health range or not;
if yes, outputting a detection standard signal;
if not, outputting a detection nonstandard signal.
Further, a system for qualified detection of ovality of a bent pipe is provided, which is used for realizing the method for qualified detection of ovality of a bent pipe, and comprises the following steps:
the storage module is used for storing a database, and a computer program is also stored on the storage module and is called to execute the qualified detection method for the ovality of the bent pipe when running;
the processing module is coupled with the storage module and is used for judging whether the first ovality D1 reaches a preset ovality value, judging whether the second ovality D2 is smaller than the first preset ovality value, judging whether the second ovality D2 of the bent pipe qualified by initial inspection is larger than the second preset ovality value and establishing and updating a database;
a measurement module for obtaining a first ovality D1 and a second ovality D2;
and the signal output module is used for outputting one or more of a qualified detection signal, an unqualified detection signal, a scrapped detection signal, a standard detection signal and a nonstandard detection signal.
Optionally, the measuring module includes a force measuring device and a distance measuring device, the force measuring device and the distance measuring device are installed inside the rounding upper die, and a rounding lower die matched with the rounding upper die is arranged below the rounding upper die.
Optionally, the rounding upper die is composed of a plurality of upper split sub-dies, and at least one force measuring device and at least one distance measuring device are installed inside each upper split sub-die.
Optionally, a pressing block is fixedly mounted at the upper end of the upper split sub-die through a bolt, the middle of the upper end of the pressing block is fixedly connected with the output end of an oil cylinder, and the oil cylinder is fixedly mounted on an external press machine.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a novel eligibility test means based on the elbow rounding process, which is different from the traditional detection system for detecting eligibility or ineligibility of feedback detection, the scheme of the invention can collect and analyze the initial ovality of the elbow, judge whether the initial ovality is the standard processing elbow or not, output a detection standard signal for the standard processing elbow detected, simultaneously carry out integrated calculation on the rounding stroke of the elbow, calculate the rounding stroke of the standard processing elbow to obtain the optimal rounding stroke of the standard processing elbow, synchronously output the optimal rounding stroke data when outputting the detection standard signal, further greatly shorten the rounding process of the elbow rounding equipment, and simultaneously update and learn the optimal rounding stroke data in real time according to the actual processing state, thereby effectively ensuring the accuracy of the elbow rounding process and further realizing the high efficiency and the fine assembly of the elbow.
Drawings
FIG. 1 is a flowchart of steps S100-S800 in the roundness qualification testing method of the present invention;
FIG. 2 is a flowchart of steps S701-S707 in the roundness qualification testing method according to the present invention;
FIG. 3 is a flowchart illustrating steps S708-S709 of the roundness qualification testing method according to the present invention;
FIG. 4 is a flowchart of steps S101-S103 of the roundness qualification testing method according to the present invention;
FIG. 5 is a schematic view of an installation structure of the roundness qualification testing system according to the present invention;
FIG. 6 is a cross-sectional view of a roundness qualification testing system in accordance with the present invention;
FIG. 7 is an assembled perspective sectional view of the roundness qualification testing system in accordance with the present invention;
FIG. 8 is a schematic structural view of a metal bent pipe used in the roundness qualification testing system according to the present invention;
fig. 9-11 are schematic diagrams illustrating the position relationship of the roundness qualification testing system according to the present invention in different states;
fig. 12 is a block diagram of the roundness qualification testing system according to the present invention.
The reference numbers in the figures are:
01. an oil cylinder; 02. briquetting; 03. a bolt; 04. rounding and upper die; 05. a metal bent pipe; 06. rounding the lower die; 07. a force measuring device; 08. a distance measuring device.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art.
Referring to fig. 12, a system for detecting eligibility of a bent pipe includes:
the storage module is used for storing a database;
the processing module is coupled with the storage module and is used for judging whether the first ovality D1 reaches a preset ovality value, judging whether the second ovality D2 is smaller than the first preset ovality value, judging whether the second ovality D2 of the bent pipe qualified by initial inspection is larger than the second preset ovality value and establishing and updating a database;
referring to fig. 5-7, the measuring module is used for obtaining a first ellipticity D1 and a second ellipticity D2;
and the signal output module is used for outputting one or more of a qualified detection signal, an unqualified detection signal, a scrapped detection signal, a standard detection signal and a nonstandard detection signal.
The processing module can be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of analysis systems, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The storage module may be a magnetic medium, such as a floppy disk, hard disk, magnetic tape; optical media such as DVD; or semiconductor media such as solid state disk SolidStateDisk, SSD, etc.
The measuring module comprises a force measuring device 07 and a distance measuring device 08, the force measuring device 07 and the distance measuring device 08 are installed inside a round upper die 04, a round lower die 06 matched with the round upper die 04 is arranged below the round upper die 04, the round upper die 04 is composed of a plurality of upper split sub-dies, and at least one force measuring device 07 and at least one distance measuring device 08 are installed inside each upper split sub-die;
The upper end of the upper split sub-die is fixedly provided with the pressing block 02 through the bolt 03, the middle part of the upper end of the pressing block 02 is fixedly connected with the output end of the oil cylinder 01, and the oil cylinder 01 is fixedly arranged on an external press machine;
as shown in fig. 8, when the metal bent pipe 05 is formed, the bent section is deformed like an ellipse due to an external force such as extrusion by a pipe bending die. As shown in fig. 8, the vertical direction L1 of the curved section is greater than the horizontal direction L2, the straight pipe section is not subjected to similar force, L3= L4, i.e. it is still circular, and the ovality of the curved section at different positions is different, generally speaking, the ovality is the largest at the center of the curved section, and the ovality is smaller closer to the straight pipe section, and the gradual change phenomenon is generally generated.
As shown in fig. 1 to 4, to further explain the present invention, the following provides a method for detecting eligibility of a bent pipe by combining the above detection system, including the following steps:
s100, establishing a database;
s200, acquiring a first ovality D1 of the elbow to be detected in an initial state, judging whether the first ovality D1 reaches a first preset ovality value, if so, outputting a qualified detection signal, and otherwise, outputting an unqualified detection signal;
s300, acquiring a second ovality D2 of the bent pipe after the pipe is completely round, and judging whether the second ovality D2 is smaller than a first preset ovality value;
s400, if the second ovality D2 is smaller than a first preset ovality value, the initial inspection is qualified;
s500, if the second ovality D2 is larger than a first preset ovality value, the initial inspection is unqualified, and an unqualified inspection signal is output;
s600, judging whether the second ovality D2 of the bent pipe qualified by the initial inspection is larger than a second preset ovality value;
s700, if the second ovality D2 of the bent pipe qualified by the initial inspection is larger than a second preset ovality value, the ovality of the bent pipe is within a qualified interval, a qualified detection signal is output, meanwhile, the full circle stroke S of the bent pipe is obtained, and the full circle stroke S, the first ovality D1 and the second ovality D2 are stored in a database;
s800, if the second ovality D2 of the bent pipe qualified in the initial detection is smaller than a second preset ovality value, the ovality of the bent pipe is in a full circle state, and a detection scrapping signal is output.
The method comprises the following steps of obtaining a first ellipticity D1:
in the descending process of the rounding upper die, when the die cavity of the rounding upper die contacts the upper vertex of the bent pipe, namely in the state shown in fig. 9, the force measuring device is in a stress critical point, and the distance between the upper vertex and the lower vertex of the circular pipe measured by the distance measuring device is recorded and recorded as a first ellipticity D1;
the second ellipticity D2 is obtained by the following steps:
when the rounding upper die moves upwards from the rounding state shown in the figure 10, the bent pipe rebounds, when the pressure measured by the force measuring device is zero, namely the state shown in the figure 11, the bent pipe rebounds to the free state at the moment, and the distance between the upper vertex and the lower vertex of the round pipe measured by the distance measuring device is recorded and recorded as a second ellipticity D2;
the method comprises the steps that a first preset ellipticity value is set to be L3, a second preset ellipticity value is set to be 0.9L3, when the measured first ellipticity D1 or the measured second ellipticity D2 is within a 0.9L3-L3 interval, the ellipticity of the bent pipe is judged to be qualified, otherwise, when the measured second ellipticity D2 is smaller than 0.9L3, the whole circle appears at this time, the bent pipe cannot be corrected by current equipment, a detection scrapping signal is output at this time, and the whole circle of the bent pipe is over;
it can be understood that, since the first ovality D1 is not smaller than 0.9L3 in the initial state of the bent pipe in the normal state, based on this, when the first ovality D1 is determined to be smaller than or equal to L3, the ovality of the bent pipe in the initial state can be determined to be qualified.
Wherein, storing the full circle stroke S, the first ovality D1 and the second ovality D2 into the database specifically includes:
s701, establishing a first ellipticity set A consisting of first ellipticity D1 of a plurality of bent pipes to be detected;
s702, establishing a full-circle stroke set B consisting of full-circle strokes S of a plurality of bent pipes to be detected;
s703, adding the first ovality D1 of the bent pipe qualified in the detection into the first ovality set A;
s704, judging whether the first ellipticity D1 is an outlier or not according to the added first ellipticity D1, if so, not responding, and if not, adding a full circle stroke S corresponding to the first ellipticity D1 into a full circle stroke set B;
s705, calculating a first ellipticity D1 health interval according to all non-outliers in the first ellipticity set A;
s706, calculating according to the elements in the latest full circle stroke set B to obtain the optimal full circle stroke data
；
And S707, establishing and storing a mapping relation of the full circle stroke S, the first ellipticity D1 and the second ellipticity D2.
Wherein the optimal round trip data
The average value of all elements in the full circle stroke set B is calculated as follows:
wherein m is the number of elements in the full circle stroke set B,
are elements in the full circle run set B.
Because the bent pipes in the same batch basically use the same raw materials, processing techniques and processing parameters in the actual production and processing, the bent pipes in the batch can be understood to have the basically same initial state; not only similar first ovality D1, based on this, this scheme integrates return bend detection data, establishesA first ellipticity set A consisting of a plurality of first ellipticities D1, the outliers in the first ellipticity set A are screened to obtain standard initial data of the batch of bent pipes, the rounding stroke S corresponding to the non-outliers of the first ellipticity set A is calculated according to the rounding stroke S in real time during rounding, and the optimal rounding stroke data are obtained
。
Specifically, the establishing step of the first ellipticity set a is given as follows:
in the initial state, because there is no initial data and rounding data of the bent pipes of the batch, the bent pipes need to be rounded according to the conventional rounding steps, that is:
firstly, setting a smaller circle-rounding initial stroke, detecting to obtain an initial first ellipticity D1 of a bent pipe, driving a circle-rounding upper die by an oil cylinder to perform pipe-rounding according to the circle-rounding initial stroke, detecting to obtain a second ellipticity D2, judging whether the second ellipticity D2 is in a 0.9L3-L3 interval, if so, storing a mapping relation of the current circle-rounding stroke S, the first ellipticity D1 and the second ellipticity D2, simultaneously adding the first ellipticity D1 into a first ellipticity set A, if the second ellipticity D2 is not in a 0.9L3-L3 interval, repeating the steps of rounding, detecting to obtain the second ellipticity D2 and judging whether the second ellipticity D2 is in a 0.9L3-L3 interval until the second ellipticity D2 is in a 0.9L3-L3 interval;
repeating the steps for at least 10 times, wherein enough initial first ellipticity D1 samples exist in the first ellipticity set A, outliers in the first ellipticity D1 are screened, the rounding stroke S corresponding to the first ellipticity D1 of the non-outliers is added into the rounding stroke set B, calculation is carried out, and optimal rounding stroke data are obtained
；
The calculation step of the first ellipticity D1 healthy interval comprises the following steps:
firstly, calculating and obtaining the average value of the first ovality D1 corresponding to all non-outlier points
，
The calculation formula of (2) is as follows:
wherein m is the number of all non-outliers, i.e. the number of elements in the whole round trip set B,
a first ellipticity D1 corresponding to all non-outlier points;
and then calculating a health standard deviation value s, wherein the calculation formula of s is as follows:
further obtain a first ellipticity D1 with a healthy interval of
。
Then, according to the detection result in the rounding process, the first ellipticity set A and the rounding stroke set B are updated and calculated in real time, and the optimal rounding stroke data which are most suitable for the rounding process of the bent pipe of the batch are obtained
；
The specific steps of judging whether the first ellipticity D1 is an outlier or not according to the added first ellipticity D1 are as follows:
s708, sequentially arranging the elements in the first ellipticity set A from small to large, setting a detection level alpha, and obtaining a critical value bp (n) of skewness detection;
s709, calculating an observed value bs of the added first ellipticity D1, and judging whether bs is larger than a critical value bp (n), if yes, the first ellipticity D1 is an outlier, and if not, the first ellipticity D1 is not the outlier;
the observation value bs is calculated by the following method:
wherein n is the ordinal number of the added first ellipticity D1 in the first ellipticity set A in the order from small to large;
the elements in the first ellipticity set a that are arranged before the added first ellipticity D1 in descending order,
is the average value of all elements in the first ellipticity set A;
it can be understood by those skilled in the art that the detection level α represents the reliability of the current data, and when the detection requirement is strict, the detection level α may be set smaller, and if the requirement is not strict, α may be set larger, and then the table may be looked up according to the determined detection level α to obtain the critical value bp (n) of the skewness test;
according to the scheme, outliers are eliminated based on skewness-kurtosis inspection, the standard initial ellipticity of the bent pipes in the current batch can be accurately reflected by analyzing the first ellipticity D1 corresponding to the non-outliers, and the full circle stroke parameters corresponding to the standard initial ellipticity are calculated, so that the optimal full circle stroke data can be obtained
；
Acquiring a first ovality D1 of a to-be-detected bent pipe in an initial state, judging whether the first ovality D1 reaches a preset ovality value, if so, outputting a detection qualified signal, and if not, outputting a detection unqualified signal, wherein the method further comprises the following steps:
s101, judging whether the first ovality D1 of the unqualified elbow to be detected is within a first ovality D1 health range;
s102, if yes, outputting a detection standard signal;
s103, if not, outputting a detection nonstandard signal.
When the detection system outputs the detection standard signal, the optimal full circle stroke data is synchronously output
As the initial rounding stroke of the bent pipe, the circular pressing step in the rounding process is greatly reduced; the method can greatly improve the rounding efficiency of the bent pipe;
when the detection system outputs a detection standard non-standard signal, the rounding equipment performs pipe bending rounding according to the traditional rounding steps.
Still further, a computer program is stored on the storage module, and the detection method is executed when the computer program is called.
In conclusion, the invention has the advantages that: a novel eligibility testing means is provided based on the elbow rounding process, real-time updating and learning can be carried out according to actual processing detection data, and more accurate detection data and parameters are output.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A method for detecting the eligibility of a bent pipe is characterized by comprising the following steps:
establishing a database;
acquiring a first ovality D1 of a bent pipe to be detected in an initial state, judging whether the first ovality D1 reaches a first preset ovality value, if so, outputting a qualified detection signal, and otherwise, outputting an unqualified detection signal;
acquiring a second ovality D2 of the bent pipe after the pipe is completely round, and judging whether the second ovality D2 is smaller than a first preset ovality value or not;
if the second ovality D2 is smaller than the first preset ovality value, the initial inspection is qualified;
if the second ovality D2 is larger than the first preset ovality value, the initial detection is unqualified, and a detection unqualified signal is output;
judging whether the second ovality D2 of the bent pipe qualified in the initial inspection is larger than a second preset ovality value;
if the second ovality D2 of the bent pipe qualified by the initial inspection is larger than a second preset ovality value, the ovality of the bent pipe is within a qualified interval, a qualified detection signal is output, meanwhile, the full circle stroke S of the bent pipe is obtained, and the full circle stroke S, the first ovality D1 and the second ovality D2 are stored in a database;
if the second ovality D2 of the bent pipe qualified in the initial detection is smaller than a second preset ovality value, the ovality of the bent pipe is in an over-complete-circle state, and a detection scrapping signal is output.
2. The qualified detection method for the ovality of the bent pipe according to claim 1, wherein the step of storing the full circle stroke S, the first ovality D1 and the second ovality D2 into a database specifically comprises:
establishing a first ellipticity set A consisting of first ellipticity D1 of a plurality of bent pipes to be detected;
establishing a full circle stroke set B consisting of full circle strokes S of a plurality of bent pipes to be detected;
adding the first ovality D1 of the qualified bent pipe detected this time into the first ovality set A;
judging whether the first ellipticity D1 is an outlier or not according to the added first ellipticity D1, if so, not responding, and if not, adding a full circle stroke S corresponding to the first ellipticity D1 into a full circle stroke set B;
calculating a first ellipticity D1 healthy interval according to all non-outliers in the first ellipticity set A;
calculating according to the elements in the latest full circle stroke set B to obtain the optimal full circle stroke data
；
And establishing and storing a mapping relation of the full circle stroke S, the first ellipticity D1 and the second ellipticity D2.
3. The method according to claim 2, wherein the step of determining whether the first ovality D1 is an outlier according to the added first ovality D1 comprises:
sequentially arranging elements in the first ellipticity set A from small to large, setting a detection level alpha, and obtaining a critical value bp (n) of skewness detection;
calculating an observed value bs of the added first ellipticity D1, and judging whether bs is larger than a critical value bp (n), if so, the first ellipticity D1 is an outlier, and if not, the first ellipticity D1 is not the outlier.
4. The method for qualified detection of ovality of a bent pipe according to claim 3, wherein the observed value bs of the first ovality D1 is calculated by:
wherein n is the ordinal number of the added first ellipticity D1 in the first ellipticity set A from small to large,
the elements in the first ellipticity set a that are arranged before the added first ellipticity D1 in descending order,
is the average of all elements in the first set of ovalities a.
5. The method according to claim 4, wherein the optimal full circle stroke data is obtained by analyzing the data of the elbow ovality
The calculation method comprises the following steps:
wherein m is the number of elements in the full circle stroke set B,
are elements in the full circle run set B.
6. The method for detecting the eligibility of the bent pipe according to claim 5, wherein the method for detecting the eligibility of the bent pipe comprises the following steps of obtaining a first eligibility D1 of the bent pipe to be detected in an initial state, judging whether the first eligibility D1 reaches a preset eligibility value, outputting a qualified detection signal if the first eligibility D1 reaches the preset eligibility value, and outputting a unqualified detection signal if the first eligibility D1 does not reach the preset eligibility value:
judging whether the first ovality D1 of the unqualified elbow to be detected is within the first ovality D1 health range or not;
if yes, outputting a detection standard signal;
if not, outputting a detection nonstandard signal.
7. A bent pipe ovality qualification detection system for realizing the bent pipe ovality qualification detection method according to any one of claims 1 to 6, characterized by comprising:
a storage module for storing a database, the storage module further storing thereon a computer program that is invoked for execution when the computer program is executed to perform the elbow ovality qualification testing method according to any one of claims 1 to 6;
the processing module is coupled with the storage module and is used for judging whether the first ovality D1 reaches a preset ovality value, judging whether the second ovality D2 is smaller than the first preset ovality value, judging whether the second ovality D2 of the bent pipe qualified by initial inspection is larger than the second preset ovality value and establishing and updating a database;
a measurement module for obtaining a first ovality D1 and a second ovality D2;
the signal output module is used for outputting one or more of a qualified detection signal, an unqualified detection signal, a scrapped detection signal, a standard detection signal and a nonstandard detection signal.
8. The qualified detection system for the ovality of the bent pipe according to claim 7, characterized in that the measuring module comprises a force measuring device (07) and a distance measuring device (08), the force measuring device (07) and the distance measuring device (08) are installed inside a round upper die (04), and a round lower die (06) matched with the round upper die (04) is arranged below the round upper die (04).
9. The elbow ovality qualification testing system according to claim 8, wherein the round upper die (04) is composed of a plurality of upper split sub-dies, and at least one force measuring device (07) and at least one distance measuring device (08) are installed inside each upper split sub-die.
10. The elbow ovality qualification detection system according to claim 9, wherein a pressing block (02) is fixedly mounted at the upper end of the upper split sub-die through a bolt (03), the middle part of the upper end of the pressing block (02) is fixedly connected with the output end of an oil cylinder (01), and the oil cylinder (01) is fixedly mounted on an external press.
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| CN114993229A (en) * | 2022-06-02 | 2022-09-02 | 西南石油大学 | Multi-sensor data fusion-based ovality online detection method |
| CN115014217A (en) * | 2022-06-21 | 2022-09-06 | 南昌航空大学 | Pipe online detection method based on laser ranging |
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