CN108645385A - A kind of heavy construction steel construction intelligence deformation detecting system - Google Patents
A kind of heavy construction steel construction intelligence deformation detecting system Download PDFInfo
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- CN108645385A CN108645385A CN201810402820.1A CN201810402820A CN108645385A CN 108645385 A CN108645385 A CN 108645385A CN 201810402820 A CN201810402820 A CN 201810402820A CN 108645385 A CN108645385 A CN 108645385A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
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Abstract
The invention belongs to engineering Inspection Technique fields,Disclose a kind of heavy construction steel construction intelligence deformation detecting system,It is provided with indium steel ruler,The indium steel ruler activity is plugged on the upper surface of bottom seat,The side of the indium steel ruler is fixed with precision level,The precision level is fixed on by nut and dead axle on telescopic rod,The telescopic rod side is plugged with adjusting nut,The front end of the pedestal is inlaid with display screen,Connection pillar is fixed with by nut below the pedestal,The connection pillar can stretch,The side of the connection pillar is plugged with adjusting rod,The lower section of the connection pillar is fixed with pulley by nut,The data that precision level detects can be automatically transferred on display screen by the invention,Input the data of manual measurement indium steel ruler,The micro computer that inside is inlayed calculates corresponding data value and error automatically,Improve the working efficiency of staff.
Description
Technical field
The invention belongs to engineering Inspection Technique field more particularly to a kind of heavy construction steel construction intelligence shape changing detection systems
System.
Background technology
Currently, with the development of China's construction business, large-scale or even super-huge architectural engineering is also more and more, due to steel knot
Structure is relatively light with dead weight, reliability is high, shock resistance is relatively strong and impact is stronger, is widely used in modern architecture, and
Its structure and form also become increasingly complex and novelty, especially steel structural form are widely used in modern building, such as
The coliseums such as Bird's Nest, with the enhancing that human security is realized, for the healthy and safe property after the use for many years of such building
Detection research, is also increasingly valued by the people.
Traditional distortion measurement mode is calculated using indium steel ruler and the individual measurement data of precision level, individually processing
A large amount of data, calculate error, with this come determine steel construction whether there is deformation, in the process, can waste staff compared with
More time.
In conclusion problem of the existing technology is：It relies solely on manpower and handles a large amount of data, waste staff
Time.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of heavy construction steel construction intelligence shape changing detection systems
System.
The invention is realized in this way a kind of heavy construction steel construction intelligence deformation detecting system includes：Indium steel ruler, precision
Spirit level, adjusting nut, telescopic rod, pedestal, display screen, connection pillar, pulley, adjusting rod, control panel, single monitoring point.
The indium steel ruler activity is plugged on the upper surface of pedestal, and the side of the indium steel ruler is plugged with telescopic rod, described to stretch
The top of contracting bar is fixed with precision level by nut and dead axle, and adjusting nut, institute are inserted with below the precision level
The front end for stating pedestal is inlaid with display screen, and the pedestal lower section is fixed with connection pillar by nut, and the connection pillar can
Flexible, the side of the connection pillar is plugged with adjusting rod, and the lower section of the connection pillar is fixed with pulley by nut.
The display screen is detected noise strain image edge using the method for mathematical morphology；
The noise strain image carries out rectangle partitioning algorithm specific method such as in a scanning area to region of variation
Under：
(1) image transmitting terminal obtains the resolution ratio of screen first, obtains the range 0 of the 0~C of range and row scanning of column scan
~R；
(2) data of current frame image conservation zone are saved in previous frame image buffering area by transmitting terminal；Intercept and capture current screen
Curtain bitmap data is simultaneously stored in current frame image buffering area；
(3) transmitting terminal initializes variation rectangular area top left co-ordinate first and bottom right angular coordinate is (0,0), scanning next time
Starting point coordinate is (0,0), and row is unchanged to be identified as true, updates the range of the range and row scanning of column scan；
(4) judge whether to be expert in scanning range, not exist, jump to (10)；
(5) judge whether within the scope of column scan, do not exist, jump to (8)；Directly compare using every row within the scope of column scan
Current sampling point is detected compared with method；Value is different, sets the unchanged mark of row to false first, then judge whether be
The first variation sampled point detected, is using sample point coordinate as the top left co-ordinate of variation rectangular area, is not first
The coordinate of the coordinate in the rectangle lower right corner and the point relatively and is maximized as new rectangle lower right corner seat by a variation sampled point
Mark, then judge whether the sampled point is the variation sampled point of one's own profession first, be just the ordinate by the sampled point with rectangle upper left
The ordinate at angle is compared and is minimized the top left co-ordinate of more new change rectangular area；It is worth identical, needs to judge capable nothing
Variation identifies whether detect it is that last row is adopted if it is the starting point that false, record coordinate are scanned as next time for false
Sampling point jumps to (7) using last row sample point coordinate as the starting point of scanning next time；
(6), row coordinate is moved to right N row, jumps to step 5 and detects next sampled point；
(7), one's own profession detection finishes, and the next sweep starting point of the next sweep starting point coordinate of one's own profession and lastrow record is sat
Mark compares, and is maximized as new next sweep starting point coordinate, and line number adds 1, jump to (4) from next line from the beginning from
Left-to-right detection；
(8), judge go it is unchanged identify whether as true and variation rectangular area top left co-ordinate be not (0,0), be not
True, line number add 1, jump to (4)；It is true, then shows that full line without different pixels, has obtained the rectangular area of a variation
Block；Obtained variation rectangular area block upper left corner ordinate be moved to the left N row, lower right corner ordinate move right N arrange with comprising
Image boundary information；
(9), the variation rectangular area coordinate detected and corresponding next sweep starting point coordinate are recorded, forefront is worked as in judgement
The range of scanning whether 0~C and row scanning range whether 0~R, be, setting mark show the variation rectangle that current detection goes out
Area identification is to detect for the first time, and then line number adds 1 to jump to the rectangle that (4) detect next variation since next line
Region unit；Until detecting the range beyond row scanning；
(10), after this detection, next sweep starting point all in this detection is handled, next time is calculated
The set of scanning range；Whether the ordinate for first checking for first next sweep starting point that this is detected is adopted than last row
The ordinate of sampling point is small, is not, which completes, and detects the ordinate of next next sweep starting point；It is, with for the first time
The abscissa in the variation rectangular area upper left corner detected is abscissa, is scanned relevant next time with currently changing rectangular area
The ordinate of point coordinates is ordinate, generates the top left co-ordinate of a next scanning range；With the variation detected for the first time
The abscissa in the rectangular area lower right corner is abscissa, and a next scanning range is generated by ordinate of the maximum number of column C of screen
Bottom right angular coordinate；Then handle second next sweep starting point, until next sweep starting point all in this detection all by
Until processing.
Further, the control panel is embedded in the side of display screen.
Further, the micro computer connects display screen by data line；
The micro computer is internally provided with parameter input and setting module, computation analysis module, comparison warning module, display
Module；
Parameter input and setting module for realizing underlying parameter value input；
Computation analysis module to input data for carrying out calculating analysis, to obtain theoretical operating parameter；
Comparison warning module is reminded for carrying out data comparison and early warning；
Display module is used for the comparing result of display comparison warning module.
Advantages of the present invention and good effect are：The invention calculates space object by the method for three-dimensional coordinate measurement
Linear Attitude Motions, and with designing the comparison of initial value type so that it is determined that whether the steel construction of building deforms upon, it is with obvious effects,
The precision level will measure determining data by data line transfer to micro computer, be manually entered the number of indium steel ruler measurement
According to micro computer calculates corresponding numerical value and calculates standard error automatically, and result of calculation is reacted directly on display screen, section
The time for having saved staff, since the point for needing to measure is multiple, it is therefore desirable to multiple shift position, therefore pulley just saves
The amount of labour of staff is saved, which is capable of the corresponding data of calculating of intelligence, when saving a large amount of for staff
Between.
Description of the drawings
Fig. 1 is heavy construction steel construction intelligence deformation detecting system external structure schematic diagram provided in an embodiment of the present invention.
Fig. 2 is that the detection site distribution of heavy construction steel construction intelligence deformation detecting system provided in an embodiment of the present invention is shown
It is intended to.
In figure：1, indium steel ruler；2, precision level；3, adjusting nut；4, telescopic rod；5, pedestal；6, display screen；7, it connects
Pillar；8, pulley；9, adjusting rod；10, control panel；11, single monitoring point.
Specific implementation mode
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and coordinate attached drawing
Detailed description are as follows.
The structure of the present invention is explained in detail below in conjunction with the accompanying drawings.
As shown in Figure 1, heavy construction steel construction intelligence deformation detecting system provided in an embodiment of the present invention is provided with：Indium steel
Ruler 1, precision level 2, adjusting nut 3, telescopic rod 4, pedestal 5, display screen 6, connection pillar 7, pulley 8, adjusting rod 9, control
Panel 10, single monitoring point 11.
1 activity of indium steel ruler is plugged on the upper surface of pedestal 5, and the side of the indium steel ruler 1 is plugged with telescopic rod 4, described to stretch
The top of contracting bar 4 is fixed with precision level 2 by nut and dead axle, and the lower section of the precision level 2 is inserted with adjusting nut
3, the front end of the pedestal 5 is inlaid with display screen 6, and 5 lower section of the pedestal is fixed with connection pillar 7, the connection by nut
Pillar 7 can stretch, and the side of the connection pillar 7 is plugged with adjusting rod 9, and the lower section of the connection pillar 7 is solid by nut
Surely there is pulley 8.
The display screen is detected noise strain image edge using the method for mathematical morphology；
The noise strain image carries out rectangle partitioning algorithm specific method such as in a scanning area to region of variation
Under：
(1) image transmitting terminal obtains the resolution ratio of screen first, obtains the range 0 of the 0~C of range and row scanning of column scan
~R；
(2) data of current frame image conservation zone are saved in previous frame image buffering area by transmitting terminal；Intercept and capture current screen
Curtain bitmap data is simultaneously stored in current frame image buffering area；
(3) transmitting terminal initializes variation rectangular area top left co-ordinate first and bottom right angular coordinate is (0,0), scanning next time
Starting point coordinate is (0,0), and row is unchanged to be identified as true, updates the range of the range and row scanning of column scan；
(4) judge whether to be expert in scanning range, not exist, jump to (10)；
(5) judge whether within the scope of column scan, do not exist, jump to (8)；Directly compare using every row within the scope of column scan
Current sampling point is detected compared with method；Value is different, sets the unchanged mark of row to false first, then judge whether be
The first variation sampled point detected, is using sample point coordinate as the top left co-ordinate of variation rectangular area, is not first
The coordinate of the coordinate in the rectangle lower right corner and the point relatively and is maximized as new rectangle lower right corner seat by a variation sampled point
Mark, then judge whether the sampled point is the variation sampled point of one's own profession first, be just the ordinate by the sampled point with rectangle upper left
The ordinate at angle is compared and is minimized the top left co-ordinate of more new change rectangular area；It is worth identical, needs to judge capable nothing
Variation identifies whether detect it is that last row is adopted if it is the starting point that false, record coordinate are scanned as next time for false
Sampling point jumps to (7) using last row sample point coordinate as the starting point of scanning next time；
(6), row coordinate is moved to right N row, jumps to step 5 and detects next sampled point；
(7), one's own profession detection finishes, and the next sweep starting point of the next sweep starting point coordinate of one's own profession and lastrow record is sat
Mark compares, and is maximized as new next sweep starting point coordinate, and line number adds 1, jump to (4) from next line from the beginning from
Left-to-right detection；
(8), judge go it is unchanged identify whether as true and variation rectangular area top left co-ordinate be not (0,0), be not
True, line number add 1, jump to (4)；It is true, then shows that full line without different pixels, has obtained the rectangular area of a variation
Block；Obtained variation rectangular area block upper left corner ordinate be moved to the left N row, lower right corner ordinate move right N arrange with comprising
Image boundary information；
(9), the variation rectangular area coordinate detected and corresponding next sweep starting point coordinate are recorded, forefront is worked as in judgement
The range of scanning whether 0~C and row scanning range whether 0~R, be, setting mark show the variation rectangle that current detection goes out
Area identification is to detect for the first time, and then line number adds 1 to jump to the rectangle that (4) detect next variation since next line
Region unit；Until detecting the range beyond row scanning；
(10), after this detection, next sweep starting point all in this detection is handled, next time is calculated
The set of scanning range；Whether the ordinate for first checking for first next sweep starting point that this is detected is adopted than last row
The ordinate of sampling point is small, is not, which completes, and detects the ordinate of next next sweep starting point；It is, with for the first time
The abscissa in the variation rectangular area upper left corner detected is abscissa, is scanned relevant next time with currently changing rectangular area
The ordinate of point coordinates is ordinate, generates the top left co-ordinate of a next scanning range；With the variation detected for the first time
The abscissa in the rectangular area lower right corner is abscissa, and a next scanning range is generated by ordinate of the maximum number of column C of screen
Bottom right angular coordinate；Then handle second next sweep starting point, until next sweep starting point all in this detection all by
Until processing.
The micro computer connects display screen by data line；
The micro computer is internally provided with parameter input and setting module, computation analysis module, comparison warning module, display
Module；
Parameter input and setting module for realizing underlying parameter value input；
Computation analysis module to input data for carrying out calculating analysis, to obtain theoretical operating parameter；
Comparison warning module is reminded for carrying out data comparison and early warning；
Display module is used for the comparing result of display comparison warning module.
The present invention puts bit distribution shown in the area layout 2 of measurement, is arranged to three regions, and each region setting is flat
Face control point and elevation control point, horizontal control network are arranged to the form of straight body conducting wire, make every effort to parallel with the direction of long axis, lead to
Cross indium steel ruler 1 takes corresponding data, micro computer to automatically process corresponding data with precision level 2, and calculates absolute mistake
Difference, using the angle of 3 adjustment precision spirit level 2 of adjusting nut, 1 activity of indium steel ruler is connected on the surface of pedestal 5, can be with
Shift position after the completion of result of calculation statistics, is compared with coordinating precision level 2 to work with original design data at any time,
So that it is determined that whether steel construction deforms upon.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Every any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (3)
1. a kind of heavy construction steel construction intelligence deformation detecting system, which is characterized in that the heavy construction steel construction intelligence shape
Become detecting system to be provided with：
Indium steel ruler；
The indium steel ruler activity is plugged on the upper surface of pedestal, and the side of the indium steel ruler is plugged with telescopic rod, the telescopic rod
Top precision level is fixed with by nut and dead axle, adjusting nut, the bottom are inserted with below the precision level
The front end of seat is inlaid with display screen, and the pedestal lower section is fixed with connection pillar by nut, and the connection pillar can stretch,
The side of the connection pillar is plugged with adjusting rod, and the lower section of the connection pillar is fixed with pulley by nut；
The display screen is detected noise strain image edge using the method for mathematical morphology；
The noise strain image carries out rectangle partitioning algorithm in a scanning area to region of variation, and the specific method is as follows：
(1) image transmitting terminal obtains the resolution ratio of screen first, obtains 0~R of range of the 0~C of range and row scanning of column scan；
(2) data of current frame image conservation zone are saved in previous frame image buffering area by transmitting terminal；Intercept and capture current screen position
Diagram data is simultaneously stored in current frame image buffering area；
(3) transmitting terminal initializes variation rectangular area top left co-ordinate first and bottom right angular coordinate is (0,0), next sweep starting point
Coordinate is (0,0), and row is unchanged to be identified as true, updates the range of the range and row scanning of column scan；
(4) judge whether to be expert in scanning range, not exist, jump to (10)；
(5) judge whether within the scope of column scan, do not exist, jump to (8)；Using every row direct comparison method within the scope of column scan
Current sampling point is detected；Value is different, sets the unchanged mark of row to false first, then judges whether to be detection
The first variation sampled point arrived is using sample point coordinate as the top left co-ordinate of variation rectangular area, is not first change
Change sampled point, the coordinate of the coordinate in the rectangle lower right corner and the point relatively and be maximized as new rectangle bottom right angular coordinate,
Judge whether the sampled point is the variation sampled point of one's own profession first again, be just the ordinate by the sampled point with the rectangle upper left corner
Ordinate is compared and is minimized the top left co-ordinate of more new change rectangular area；Be worth it is identical, need judge row it is unchanged
It identifies whether to detect it is last row sampling if it is the starting point that false, record coordinate are scanned as next time for false
Point jumps to (7) using last row sample point coordinate as the starting point of scanning next time；
(6), row coordinate is moved to right N row, jumps to step 5 and detects next sampled point；
(7), one's own profession detection finishes, by the next sweep starting point coordinate ratio of the next sweep starting point coordinate of one's own profession and lastrow record
Compared with, and be maximized as new next sweep starting point coordinate, line number adds 1, jump to (4) from next line from the beginning from a left side to
Right detection；
(8), judge go it is unchanged identify whether as true and variation rectangular area top left co-ordinate be not (0,0), be not true,
Line number adds 1, jumps to (4)；It is true, then shows that full line without different pixels, has obtained the rectangular area block of a variation；
To variation rectangular area block upper left corner ordinate be moved to the left N row, the ordinate N that moves right in the lower right corner is arranged with comprising image side
Boundary's information；
(9), the variation rectangular area coordinate detected and corresponding next sweep starting point coordinate are recorded, judges current column scan
Range whether 0~C and row scanning range whether 0~R, be, setting mark show the variation rectangular area that current detection goes out
Mark is to detect for the first time, and then line number adds 1 to jump to the rectangular area that (4) detect next variation since next line
Block；Until detecting the range beyond row scanning；
(10), after this detection, next sweep starting point all in this detection is handled, next scanning is calculated
The set of range；The ordinate for first next sweep starting point that this is detected is first checked for whether than last row sampled point
Ordinate it is small, be not that the region detection is completed, detect the ordinate of next next sweep starting point；It is, to detect for the first time
The abscissa in the variation rectangular area upper left corner gone out is abscissa, is sat with currently changing the relevant next sweep starting point in rectangular area
Target ordinate is ordinate, generates the top left co-ordinate of a next scanning range；With the variation rectangle detected for the first time
The abscissa in the region lower right corner is abscissa, and the right side of a next scanning range is generated using the maximum number of column C of screen as ordinate
Lower angular coordinate；Then second next sweep starting point is handled, until next sweep starting point all in this detection is all handled
Until.
2. heavy construction steel construction intelligence deformation detecting system as described in claim 1, which is characterized in that the control panel
It is embedded in the side of display screen.
3. heavy construction steel construction intelligence deformation detecting system as described in claim 1, which is characterized in that the micro computer is logical
Cross data line connection display screen；
The micro computer is internally provided with parameter input and setting module, computation analysis module, comparison warning module, display mould
Block；
Parameter input and setting module for realizing underlying parameter value input；
Computation analysis module to input data for carrying out calculating analysis, to obtain theoretical operating parameter；
Comparison warning module is reminded for carrying out data comparison and early warning；
Display module is used for the comparing result of display comparison warning module.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111076881A (en) * | 2020-01-18 | 2020-04-28 | 山东普泰工程检测鉴定有限公司 | Intelligent deformation detection system for large building steel structure |
| CN114197635A (en) * | 2021-11-16 | 2022-03-18 | 沈中勤 | Steel construction links up structure with deformation alarming function |
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| US5103412A (en) * | 1989-11-17 | 1992-04-07 | Matsushita Electric Industrial Co., Ltd. | Width measuring device |
| JP2000232299A (en) * | 1999-02-12 | 2000-08-22 | Juki Corp | Method and device for recognizing part |
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| CN114197635A (en) * | 2021-11-16 | 2022-03-18 | 沈中勤 | Steel construction links up structure with deformation alarming function |
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