CN110263771A - A kind of measuring device and method of the gas chamber piston torsional capacity based on machine vision - Google Patents

A kind of measuring device and method of the gas chamber piston torsional capacity based on machine vision Download PDF

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Publication number
CN110263771A
CN110263771A CN201910686103.0A CN201910686103A CN110263771A CN 110263771 A CN110263771 A CN 110263771A CN 201910686103 A CN201910686103 A CN 201910686103A CN 110263771 A CN110263771 A CN 110263771A
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China
Prior art keywords
module
image
input terminal
piston
gas chamber
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Pending
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CN201910686103.0A
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Chinese (zh)
Inventor
王康
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Wuhan Dinglikang Automation Co Ltd
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Wuhan Dinglikang Automation Co Ltd
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Priority to CN201910686103.0A priority Critical patent/CN110263771A/en
Publication of CN110263771A publication Critical patent/CN110263771A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/267Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes

Abstract

The measuring device and method of the invention discloses a kind of gas chamber piston torsional capacity based on machine vision, including mounting base and piston torsigraph host, side at the top of the mounting base is rotatably connected to electric telescopic rod by bearing, and the side on electric telescopic rod surface is fixedly connected with telescope support by link block, the side of the telescope support is fixedly connected with the side on electric telescopic rod surface, it is fixedly connected at the top of the bottom of the piston torsigraph host and telescope support, the present invention relates to gas chamber technical fields.The measuring device and method of the gas chamber piston torsional capacity based on machine vision, it is handled by photoelectric conversion and image digitazation, it is successfully realized piston torsion grade measurement, family is not used only and monitors twisting states in real time, also relieve operator's not only dangerous but also cumbersome work, high-precision intelligent on-line measurement is realized, while improving the safety of gas chamber, practicability is higher.

Description

A kind of measuring device and method of the gas chamber piston torsional capacity based on machine vision
Technical field
The present invention relates to gas chamber technical field, the survey of specially a kind of gas chamber piston torsional capacity based on machine vision Measure device and method.
Background technique
For dry gas holder, piston is swum in inside gas holder side plate by epithelium and gas pressure, although rubber skin Film has certain self-healing, but since RECOVERY OF CONVERTER GAS is resting period property, causes gas cabinet piston frequently and high speed Up and down.It is this to the unbalanced pressure difference of the quick of piston, high-frequency percussion and piston large area, unbalanced temperature and Unbalanced dust attachment etc., will necessarily make piston change with T baffle and gas holder side plate distance, when torsional capacity is more than a fixed limit Value, will result in epithelium and epithelium, epithelium and T baffle and gas holder side plate is rubbed, squeezed repeatedly, scratching, scratching until rupture, hair The great work safety accidents such as soft coal gas leakage even explosion, cause an immeasurable loss.
Summary of the invention
(1) the technical issues of solving
In view of the deficiencies of the prior art, the survey of the present invention provides a kind of gas chamber piston torsional capacity based on machine vision Device and method is measured, situation can not be reversed to piston by solving monitors automatically, and it is flat need to periodically to arrive artificial comparison piston inside gas holder The problem of motion conditions that weigh.
(2) technical solution
In order to achieve the above object, the present invention is achieved by the following technical programs: a kind of coal gas based on machine vision The measuring device of cabinet piston torsional capacity, including mounting base and piston torsigraph host, the side at the top of the mounting base are logical It crosses bearing and is rotatably connected to electric telescopic rod, and the side on electric telescopic rod surface is fixedly connected with flexible branch by link block The side of frame, the telescope support is fixedly connected with the side on electric telescopic rod surface, the bottom of the piston torsigraph host It is fixedly connected at the top of telescope support, the side of the telescope support is fixedly connected with terminal box, the piston torsigraph master Machine includes image capture module, image processing system and Gray Classification module.
Preferably, the input terminal of the output end of described image acquisition module and photoelectric conversion module connects, and the photoelectricity turns The output end of mold changing block is connect with the input terminal of target image recording module, the output end and figure of the target image recording module As the input terminal of processing system connects.
Preferably, the output end of described image processing system and the input terminal of digital signal conversion module connect, and number The output end of word signal conversion module is connect with the input terminal of pixel production module, the output end of the pixel production module It is connect with the input terminal of Gray Classification module.
Preferably, the output end of the Gray Classification module is connect with the input terminal of HMI monitoring module, the HMI monitoring The output end of module is connect with the input terminal of print module, sound and light alarm module and liquid crystal display respectively.
Preferably, described image processing system includes image filtering module and image segmentation module, and described image filters mould The output end of block and the input terminal of image segmentation module connect, and the input terminal of image segmentation module and digital signal modulus of conversion The input terminal of block connects, and the input terminal of described image filter module is connect with the output end of target image recording module.
The measurement method of the measuring device of the invention also discloses a kind of gas chamber piston torsional capacity based on machine vision, Specifically includes the following steps:
S1, image capture module can be acquired image, and photoelectric conversion module converts optical signal by way of CCD For electric signal, and be sent to target image recording module, thus target image recording module can image be sent to image procossing system System;
S2, after image processing system receives image, image filtering module in image processing system can to image into Row filtering processing solves the problems, such as that real image is declined due to caused by various interference using quality, passes through image filtering skill Art can effectively eliminate the defects of measured target uses pollution for a long time, obscures, while reduce user scene working service work Work amount even it is non-maintaining, to image filtering resume module after, the image segmentation module in image processing system can be by image In significant feature or extracted region come out, these features can be the primitive character of image, gray value, object such as pixel Profile, color, reflectance signature and texture etc., the purpose of image segmentation are target image to be divided into several mutually disjoint areas Domain keeps each region with uniformity, and the attributive character between adjacent area has apparent difference, to improve the standard of torsigraph True resolution ratio;
S3, picture signal can be converted into number by digital signal conversion module after image processing system is disposed Signal, and be sent to pixel production module, pixel make module can by continuous iamge description at M × N matrix form, Each element of matrix is known as pixel, and sampling fine degree is measured with image resolution ratio, for continuous on cabinet plate Image is equally spacedly divided into rectangle reticular structure in the horizontal and vertical directions, and the small grid of formation is pixel, and one Sub-picture is sampled the set that limited pixel is constituted, and torsigraph each image is made of 1280 × 960 pixels, because This ensure that the measurement accuracy of torsigraph significantly;
S4, to pixel make resume module after, the light intensity of each pixel is indicated with gray scale in representative image, ash The classification of degree is 8 256 gray levels, and corresponding numerical value is 0 to 255, and gas cabinet piston is reversed and is measured, using 256 gray scales Grade much meets the resolution requirement of measured target torsiversion;
S5, after HMI monitoring module receives data, can by piston torsional capacity real-time display on liquid crystal display, if There are abnormal conditions to will start sound and light alarm module, while can be come out data-printing by print module.
(3) beneficial effect
The measuring device and method of the present invention provides a kind of gas chamber piston torsional capacity based on machine vision.With it is existing Technology, which is compared, to be had following the utility model has the advantages that being somebody's turn to do the measuring device and method of the gas chamber piston torsional capacity based on machine vision, is led to Crossing piston torsigraph host includes image capture module, image processing system and Gray Classification module, image capture module it is defeated The connection of the input terminal of outlet and photoelectric conversion module, the output end of photoelectric conversion module and the input terminal of target image recording module Connection, the output end of target image recording module and the input terminal of image processing system connect, the output end of image processing system It is connect with the input terminal of digital signal conversion module, and the output end of digital signal conversion module and pixel make module The output end of input terminal connection, pixel production module is connect with the input terminal of Gray Classification module, passes through photoelectric conversion and figure As digitized processing, it is successfully realized piston torsion grade measurement, family is not used only and monitors twisting states in real time, also relieves Operator's not only dangerous but also cumbersome work, realizes high-precision intelligent on-line measurement, while improving the safety of gas chamber.
Detailed description of the invention
Fig. 1 is schematic structural view of the invention;
Fig. 2 is the structural principle block diagram of present system;
Fig. 3 is the structural principle block diagram of image processing system of the present invention.
In figure, 1, mounting base;2, piston torsigraph host;3, electric telescopic rod;4, telescope support;5, Image Acquisition mould Block;6, image processing system;7, Gray Classification module;8, photoelectric conversion module;9, target image recording module;10, number letter Number conversion module;11, pixel makes module;12, HMI monitoring module;13, print module;14, sound and light alarm module;15, liquid Crystal display screen;16, terminal box;601, image filtering module;602, image segmentation module.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
Fig. 1-3 is please referred to, the embodiment of the present invention provides a kind of technical solution: a kind of gas chamber piston based on machine vision The measuring device of torsional capacity, including mounting base 1 and piston torsigraph host 2, the model DVS- of piston torsigraph host 2 DIPA-62X, measurement accuracy are positive and negative 1mm or 0.02 °, and sample frequency is 800 times/second, and the side at 1 top of mounting base passes through Bearing is rotatably connected to electric telescopic rod 3, and the side on 3 surface of electric telescopic rod is fixedly connected with flexible branch by link block Frame 4,4 telescopic extensions of telescope support are fixedly connected up to 1-2m, the side of telescope support 4 with the side on 3 surface of electric telescopic rod, The bottom of piston torsigraph host 2 is fixedly connected with the top of telescope support 4, and the side of telescope support 4 is fixedly connected with terminal Case 16, terminal box 16 are explosion-proof terminal box, and explosive-proof grade ExdIICT6, degree of protection IP65, number of terminals is 20, Piston torsigraph host 2 includes image capture module 5, image processing system 6 and Gray Classification module 7.
In the present invention, the output end of image capture module 5 is connect with the input terminal of photoelectric conversion module 8, photoelectric conversion mould The output end of block 8 is connect with the input terminal of target image recording module 9, at the output end and image of target image recording module 9 The input terminal of reason system 6 connects.
In the present invention, the output end of image processing system 6 is connect with the input terminal of digital signal conversion module 10, and number The output end of word signal conversion module 10 is connect with the input terminal of pixel production module 11, and pixel makes the output of module 11 End is connect with the input terminal of Gray Classification module 7.
In the present invention, the output end of Gray Classification module 7 is connect with the input terminal of HMI monitoring module 12, HMI monitoring module 12 output end is connect with the input terminal of print module 13, sound and light alarm module 14 and liquid crystal display 15 respectively.
In the present invention, image processing system 6 includes image filtering module 601 and image segmentation module 602, image filtering mould The output end of block 601 is connect with the input terminal of image segmentation module 602, and the input terminal of image segmentation module 602 and number The input terminal of signal conversion module 10 connects, the input terminal of image filtering module 601 and the output end of target image recording module 9 Connection.
The measurement method of the measuring device of the invention also discloses a kind of gas chamber piston torsional capacity based on machine vision, Specifically includes the following steps:
S1, image capture module 5 can be acquired image, and photoelectric conversion module 8 turns optical signal by way of CCD It is changed to electric signal, and is sent to target image recording module 9, so that the meeting image of target image recording module 9 is sent at image Reason system 6;
S2, after image processing system 6 receives image, image filtering module 601 in image processing system 6 can be to figure As being filtered, solves the problems, such as that real image is declined due to caused by various interference using quality, filtered by image Wave technology can effectively eliminate the defects of measured target uses pollution for a long time, obscures, while reducing user scene and using dimension Protect workload even non-maintaining, the image segmentation module after image filtering module 601 is disposed, in image processing system 6 602 can come out feature or extracted region significant in image, these features can be the primitive character of image, such as pixel Gray value, contour of object, color, reflectance signature and texture etc., the purpose of image segmentation be target image is divided into it is several mutually Disjoint region keeps each region with uniformity, and the attributive character between adjacent area has apparent difference, to improve The accurate resolution ratio of torsigraph;
S3, picture signal can be converted by digital signal conversion module 10 after image processing system 6 is disposed Digital signal, and it is sent to pixel production module 11, pixel makes module 11 can be by continuous iamge description at M × N square The form of battle array, each element of matrix are known as pixel, and sampling fine degree is measured with image resolution ratio, for cabinet plate Upper continuous image is equally spacedly divided into rectangle reticular structure in the horizontal and vertical directions, and the small grid of formation is picture Vegetarian refreshments, a sub-picture are sampled the set that limited pixel is constituted, and torsigraph each image is by 1280 × 960 pixels Composition, therefore ensure that the measurement accuracy of torsigraph significantly;
S4, after pixel production module 11 be disposed after, the light intensity of each pixel is indicated with gray scale in representative image, The classification of gray scale is 8 256 gray levels, and corresponding numerical value is 0 to 255, and gas cabinet piston is reversed and is measured, using 256 ashes Degree grade much meets the resolution requirement of measured target torsiversion;
S5, after HMI monitoring module 12 receives data, can be by piston torsional capacity real-time display in liquid crystal display 15 On, if there are abnormal conditions to will start sound and light alarm module 14, while data-printing can be come out by print module 13.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment Intrinsic element.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding And modification, the scope of the present invention is defined by the appended.

Claims (6)

1. a kind of measuring device of the gas chamber piston torsional capacity based on machine vision, including mounting base (1) and piston torsion Instrument host (2), it is characterised in that: the side at the top of the mounting base (1) is rotatably connected to electric telescopic rod by bearing (3), and the side on electric telescopic rod (3) surface is fixedly connected with telescope support (4), the telescope support by link block (4) side is fixedly connected with the side on electric telescopic rod (3) surface, the bottom of the piston torsigraph host (2) and flexible Bracket is fixedly connected at the top of (4), and the side of the telescope support (4) is fixedly connected with terminal box (16), the piston torsion Instrument host (2) includes image capture module (5), image processing system (6) and Gray Classification module (7).
2. a kind of measuring device of gas chamber piston torsional capacity based on machine vision according to claim 1, feature Be: the output end of described image acquisition module (5) is connect with the input terminal of photoelectric conversion module (8), the photoelectric conversion mould The output end of block (8) is connect with the input terminal of target image recording module (9), the output of the target image recording module (9) End is connect with the input terminal of image processing system (6).
3. a kind of measuring device of gas chamber piston torsional capacity based on machine vision according to claim 1, feature Be: the output end of described image processing system (6) is connect with the input terminal of digital signal conversion module (10), and number letter The output end of number conversion module (10) connect with the input terminal of pixel production module (11), pixel production module (11) Output end connect with the input terminal of Gray Classification module (7).
4. a kind of measuring device of gas chamber piston torsional capacity based on machine vision according to claim 1, feature Be: the output end of the Gray Classification module (7) is connect with the input terminal of HMI monitoring module (12), the HMI monitoring module (12) output end is connect with the input terminal of print module (13), sound and light alarm module (14) and liquid crystal display (15) respectively.
5. a kind of measuring device of gas chamber piston torsional capacity based on machine vision according to claim 1, feature Be: described image processing system (6) includes image filtering module (601) and image segmentation module (602), described image filtering The output end of module (601) is connect with the input terminal of image segmentation module (602), and the input of image segmentation module (602) End is connect with the input terminal of digital signal conversion module (10), the input terminal and target image of described image filter module (601) The output end of recording module (9) connects.
6. a kind of measurement dress of the gas chamber piston torsional capacity based on machine vision described in -5 any one according to claim 1 Set, it is characterised in that: its measurement method specifically includes the following steps:
S1, image capture module (5) can be acquired image, and photoelectric conversion module (8) turns optical signal by way of CCD It is changed to electric signal, and is sent to target image recording module (9), so that target image recording module (9) meeting image is sent to figure As processing system (6);
S2, image filtering module (601) meeting pair after image processing system (6) receives image, in image processing system (6) Image is filtered, and is solved the problems, such as that real image is declined due to caused by various interference using quality, is passed through image Filtering technique can effectively eliminate the defects of measured target uses pollution for a long time, obscures, while reduce the use of user scene Maintenance workload is even non-maintaining, the image point after image filtering module (601) is disposed, in image processing system (6) Feature or extracted region significant in image can be come out by cutting module (602), these features can be the primitive character of image, Gray value, contour of object, color, reflectance signature and the texture of such as pixel, the purpose of image segmentation are that target image is divided At several mutually disjoint regions, keep each region with uniformity, and the attributive character between adjacent area has apparent difference, To improve the accurate resolution ratio of torsigraph;
S3, picture signal can be converted by digital signal conversion module (10) after image processing system (6) is disposed Digital signal, and be sent to pixel production module (11), pixel make module (11) can by continuous iamge description at M × The form of N matrix, each element of matrix are known as pixel, and sampling fine degree is measured with image resolution ratio, for Continuous image is equally spacedly divided into rectangle reticular structure in the horizontal and vertical directions on cabinet plate, and the small grid of formation is For pixel, a sub-picture is sampled the set that limited pixel is constituted, and torsigraph each image is by 1280 × 960 pictures Vegetarian refreshments composition, therefore ensure that the measurement accuracy of torsigraph significantly;
S4, after pixel production module (11) be disposed after, the light intensity of each pixel is indicated with gray scale in representative image, ash The classification of degree is 8 256 gray levels, and corresponding numerical value is 0 to 255, and gas cabinet piston is reversed and is measured, using 256 gray scales Grade much meets the resolution requirement of measured target torsiversion;
S5, after HMI monitoring module (12) receives data, can be by piston torsional capacity real-time display in liquid crystal display (15) On, if thering are abnormal conditions to will start sound and light alarm module (14), while can be by print module (13) by data-printing Out.
CN201910686103.0A 2019-07-29 2019-07-29 A kind of measuring device and method of the gas chamber piston torsional capacity based on machine vision Pending CN110263771A (en)

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CN201910686103.0A CN110263771A (en) 2019-07-29 2019-07-29 A kind of measuring device and method of the gas chamber piston torsional capacity based on machine vision

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103454285A (en) * 2013-08-28 2013-12-18 南京师范大学 Transmission chain quality detection system based on machine vision
CN106695792A (en) * 2017-01-05 2017-05-24 中国计量大学 Tracking and monitoring system and method of stacking robot based on machine vision
CN108362231A (en) * 2018-05-25 2018-08-03 唐山市建华自动控制设备厂 The measuring device and measuring method of gas chamber piston torsional capacity based on machine vision
CN208238774U (en) * 2018-04-26 2018-12-14 上海隧道工程质量检测有限公司 A kind of tunnel surface subsidence intelligent detection device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103454285A (en) * 2013-08-28 2013-12-18 南京师范大学 Transmission chain quality detection system based on machine vision
CN106695792A (en) * 2017-01-05 2017-05-24 中国计量大学 Tracking and monitoring system and method of stacking robot based on machine vision
CN208238774U (en) * 2018-04-26 2018-12-14 上海隧道工程质量检测有限公司 A kind of tunnel surface subsidence intelligent detection device
CN108362231A (en) * 2018-05-25 2018-08-03 唐山市建华自动控制设备厂 The measuring device and measuring method of gas chamber piston torsional capacity based on machine vision

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