CN104536001A - Cylindrical pier quality detection method based on data slices - Google Patents
Cylindrical pier quality detection method based on data slices Download PDFInfo
- Publication number
- CN104536001A CN104536001A CN201510020248.9A CN201510020248A CN104536001A CN 104536001 A CN104536001 A CN 104536001A CN 201510020248 A CN201510020248 A CN 201510020248A CN 104536001 A CN104536001 A CN 104536001A
- Authority
- CN
- China
- Prior art keywords
- data record
- survey line
- track data
- record
- sampled point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 claims abstract description 28
- 230000007547 defect Effects 0.000 claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 14
- 238000003384 imaging method Methods 0.000 claims abstract description 13
- 238000005070 sampling Methods 0.000 claims abstract description 5
- 238000004458 analytical method Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 238000005266 casting Methods 0.000 claims description 5
- 235000007164 Oryza sativa Nutrition 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000012372 quality testing Methods 0.000 claims description 3
- 235000009566 rice Nutrition 0.000 claims description 3
- 238000001228 spectrum Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 2
- 240000007594 Oryza sativa Species 0.000 claims 1
- 230000008901 benefit Effects 0.000 abstract description 4
- 238000012360 testing method Methods 0.000 description 4
- 241000209094 Oryza Species 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005553 drilling Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000009659 non-destructive testing Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000011230 binding agent Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 239000002344 surface layer Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention provides a cylindrical pier quality detection method based on data slices. The cylindrical pier quality detection method includes the steps that original detected data records are acquired; digital signal processing is conducted on the amplitude A of the original detected data records, and then processed detected data are acquired and recorded as lambda; processed detected data records are analyzed, and three-dimensional space coordinate values of each sampling point in each data record in each profile data record are calculated and acquired; based on three-dimensional imaging software, the three-dimensional space coordinate values of each sampling point and the data lambda acquired after digital signal processing is conducted serve as input, and a radar detection three-dimensional imaging graph reflecting the pier pouring quality defect is acquired. The method has the advantages that on the premise that concrete performance is not affected, the internal quality of a cylindrical pier is detected in a lossless mode, the three-dimensional imaging graph reflecting the pier pouring quality defect is quickly re-established through a simple method, the position, the shape and the range of the concrete internal defect are more visually reflected, and higher accuracy and reliability are achieved.
Description
Technical field
The invention belongs to construction engineering test technical field, be specifically related to a kind of Cylindrical Pier quality determining method based on data slicer.
Background technology
Bridge pier is the main support structure of bridge, and its load-bearing capacity and endurance issues directly have influence on the overall security of bridge structure.Due to the impact by many factors such as physical environment, accidental impact and concrete aging, both made in normal operation situation, bridge pier often also there will be damage in various degree.Therefore, need to carry out periodic detection to bridge pier quality, thus ensure its safety in utilization.
At present, the method detecting bridge pier quality conventional comprises: rebound method, core drilling method, pull-out post-insert method etc.Wherein, rebound method can only detecting bridge Guo concrete surface layer hardness, cannot detect bridge Guo inherent vice; Core drilling method and pull-out post-insert method belong to half damage testing method, can cause local failure to bridge pier structure, although can not affect element bearing capacity, weak point is, need to repair local failure place, therefore, have larger use limitation.
Summary of the invention
For the defect that prior art exists, the invention provides a kind of Cylindrical Pier quality determining method based on data slicer, can effectively solve the problem.
The technical solution used in the present invention is as follows:
The invention provides a kind of Cylindrical Pier quality determining method based on data slicer, comprise the following steps:
S1, carries out quality testing to Cylindrical Pier, collects raw sensor data record; Concrete grammar is:
S1.1, arranges the initial instrument parameter value of detection radar, comprising: sample frequency and sweep speed, and wherein, the unit of sweep speed is/second, or road/rice;
S1.2, chooses the individual annular survey line vertical with the axial line of Cylindrical Pier of n at the outside surface of described Cylindrical Pier;
With the axial line of described Cylindrical Pier for Z axis, the plane at each described annular survey line place is defined as XOY plane respectively, records the Z value of each described annular survey line;
S1.3, for each described annular survey line, be defined as survey line starting point, from described survey line starting point with the position of intersecting point of X-axis positive dirction and described annular survey line, carry out detection record by sweep speed movable radar antenna scanning one week, record obtains cross-sectional data record thus; Wherein, described cross-sectional data record is made up of m track data record, and, by scanning sequencing, described m track data record is designated as respectively: the 1st track data record, the 2nd track data record, the 3rd track data record ... m track data record;
The acquisition mode of every track data record is: when radar antenna moves to any one sensing point along described annular survey line, make radar antenna and described sensing point close contact, then, radar antenna launches electromagnetic pulse towards the center position of described annular survey line, and record two way travel time t and the amplitude A of the reflection wave constantly received, obtain the track data record corresponding to this sensing point thus;
S1.4, if choose P annular survey line altogether, then record obtains P cross-sectional data record altogether, and described P cross-sectional data record is described raw sensor data record;
S2, carries out digital signal processing to the amplitude A in described raw sensor data record, obtains the detection data after processing, the detection data after process are denoted as λ;
S3, to the detection data analysis after described process, calculates the three dimensional space coordinate value of each sampled point in each cross-sectional data record in every track data record; Specific analytical method is as follows:
S3.1, for arbitrary described annular survey line, the radius r of total number of channels m and Cylindrical Pier is known, then calculate the angle α between neighboring track according to following formula;
α＝2π/(m-1)；
S3.2, by m track data record by scanning sequencing, is designated as: the 1st track data record, the 2nd track data record successively ... m track data record;
For arbitrary i-th track data record, establish by sampling rule and choose y sampled point altogether, by two way travel time by little and large order, y sampled point is designated as successively: P
1, P
2p
y;
The velocity of propagation of electromagnetic wave in concrete is denoted as v, then the depth value S of each sampled point is by following formulae discovery:
S＝vP/2；
Wherein, P is the two way travel time of sampled point;
Obtain the depth value of each sampled point thus, by P
1, P
2p
ydepth value be designated as successively: S
1, S
2s
y;
Then: set up rectangular coordinate system, wherein, x-axis direction is the X-axis positive dirction in S1.3;
For any one sampled point P in y sampled point
i, its depth value is S
i; Its two-dimensional coordinate in described rectangular coordinate system is respectively:
X
i＝(r-S
i)cosα
i；
Yi＝(r-S
i)sinα
i；
Wherein, α
i=α (i-1);
S3.3, calculates the two-dimensional coordinate of all sampled points in each annular survey line thus; Because the depth value z of annular survey line is known, the two-dimensional coordinate by all sampled points is converted into three dimensional space coordinate;
S4, based on three-dimensional imaging software, using the three dimensional space coordinate value of each sampled point and carried out the parameter λ value after digital signal processing as input, obtains the detections of radar three-dimensional imaging figure reflecting bridge pier casting quality defect.
Preferably, in S1.3, X-axis positive dirction is direction, due east or road circuit working direction.
Preferably, S2 is specially:
Carry out zero correction, gain, filtering and spectrum to the amplitude A in described raw sensor data record than analysis, then, to sample by setting sample interval to every track data record, obtain the detection data record after processing.
Preferably, in S4, in described detections of radar three-dimensional imaging figure, shown the detection data λ of each sampled point by different colourity.
Beneficial effect of the present invention is as follows:
(1) under the prerequisite not affecting concrete performance, Non-Destructive Testing is carried out to Cylindrical Pier internal soundness, and, simple method can be adopted, Fast Reconstruction bridge pier casting quality defect three-dimensional imaging figure, reflect the position of defect in concrete, shape and scope more intuitively, and there is higher accuracy and reliability.
(2) there is the low and fireballing advantage of three-dimensional imaging of testing cost, can promote the use of on a large scale.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the Cylindrical Pier quality determining method based on data slicer provided by the invention;
Fig. 2 is the axial section of Cylindrical Pier;
Fig. 3 is the sectional view of any one annular survey line;
Fig. 4 is the cross-sectional data record figure collected;
Fig. 5 is a schematic diagram of three-dimensional imaging figure.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in detail:
As shown in Figure 1, the invention provides a kind of Cylindrical Pier quality determining method based on data slicer, comprise the following steps:
S1, carries out quality testing to Cylindrical Pier, collects raw sensor data record; Concrete grammar is:
S1.1, arranges the initial instrument parameter value of detection radar, comprising: sample frequency and sweep speed, and wherein, the unit of sweep speed is/second, or road/rice;
S1.2, chooses the individual annular survey line vertical with the axial line of Cylindrical Pier of n at the outside surface of described Cylindrical Pier; As shown in Figure 2, be the axial section of Cylindrical Pier;
With the axial line of described Cylindrical Pier for Z axis, the plane at each described annular survey line place is defined as XOY plane respectively, records the Z value of each described annular survey line; In practical application, for simplifying the operation, for each XOY plane, all can define X-axis positive dirction is direction, due east.Certainly, also can take other definition modes, such as, road circuit working direction is defined as X-axis positive dirction, but need ensure that each X-axis positive dirction corresponding to annular survey line is all identical.
S1.3, for each described annular survey line, with reference to figure 3, be the sectional view of any one annular survey line, be defined as survey line starting point with the position of intersecting point of X-axis positive dirction and described annular survey line, that is: in Fig. 3, B1 point is survey line starting point; From described survey line starting point, carry out detection record by sweep speed movable radar antenna scanning one week, record obtains cross-sectional data record thus; Wherein, described cross-sectional data record is made up of m track data record, and, by scanning sequencing, described m track data record is designated as respectively: the 1st track data record, the 2nd track data record, the 3rd track data record ... m track data record;
The acquisition mode of every track data record is:
When radar antenna moves to any one sensing point along described annular survey line, make radar antenna and described sensing point close contact, then, radar antenna launches electromagnetic pulse towards the center position of described annular survey line, and record two way travel time t and the amplitude A of the reflection wave constantly received, obtain the track data record corresponding to this sensing point thus;
Supposing that an annular survey line arranges m sensing point altogether, then obtain m track data record altogether, as shown in Figure 4, is the cross-sectional data record figure collected;
S1.4, if choose P annular survey line altogether, then record obtains P cross-sectional data record altogether, and described P cross-sectional data record is described raw sensor data record;
S2, carries out digital signal processing to the amplitude A in described raw sensor data record, obtains the detection data after processing, the detection data after process are denoted as λ;
Be specially:
Carry out zero correction, gain, filtering and spectrum to the amplitude A in described raw sensor data record than analysis, then, to sample by setting sample interval to every track data record, obtain the detection data record after processing.
S3, analyzes the detection data record after described process, calculates the three dimensional space coordinate value of each sampled point in each cross-sectional data record in every track data record; Specific analytical method still with reference to figure 3, comprises the following steps:
S3.1, for arbitrary described annular survey line, the radius r of total number of channels m and Cylindrical Pier is known; Then calculate the angle α between neighboring track according to following formula;
α＝2π/(m-1)；
Such as, calculate total number of channels m=5, then π/4, α=2;
S3.2, by m track data record by scanning sequencing, is designated as: the 1st track data record, the 2nd track data record successively ... m track data record;
For arbitrary i-th track data record, establish by sampling rule and choose y sampled point altogether, by two way travel time by little and large order, y sampled point is designated as successively: P
1, P
2p
y;
The velocity of propagation of electromagnetic wave in concrete is denoted as v, then the depth value S of each sampled point is by following formulae discovery:
S＝vP/2；
Wherein, P is the two way travel time of sampled point;
Therefore, by the two way travel time of sampled point, obtain the depth value of each sampled point, by P
1, P
2p
ydepth value be designated as successively: S
1, S
2s
y;
With reference to figure 3, for B2 sensing point, be simplified illustration, suppose to obtain 5 sampled points altogether, be respectively: P
1, P
2, P
3, P
4and P
5, depth value refers to the distance of this sampled point distance B2 sensing point.
Then: set up rectangular coordinate system, wherein, x-axis direction is the X-axis positive dirction in S1.3;
For any one sampled point P in y sampled point
i, its depth value is S
i; Its two-dimensional coordinate in described rectangular coordinate system is respectively:
X
i＝(r-S
i)cosα
i；
Yi＝(r-S
i)sinα
i；
Wherein, α
i=α (i-1); That is: α
isweep trace corresponding to this sampled point and the angle of X-axis positive dirction.
S3.3, calculates the two-dimensional coordinate of all sampled points in each annular survey line thus; Because the depth value z of annular survey line is known, the two-dimensional coordinate by all sampled points is converted into three dimensional space coordinate; That is: three dimensional space coordinate is (X, Y, Z).
S4, based on three-dimensional imaging software, using the three dimensional space coordinate value of each sampled point and carried out the parameter λ value after digital signal processing as input, obtains the detections of radar three-dimensional imaging figure reflecting bridge pier casting quality defect.
As shown in Figure 5, be a schematic diagram of three-dimensional imaging figure, and, for observing directly, shown the amplitude of each sampled point by different colourity, such as, available redness, yellow represent concrete strength good area, when namely numerical value is less than 0.4, represent that concrete pouring quality is better; Green, blueness is the severe region of concrete strength, and namely numerical value is greater than 0.4, represents that concrete pouring quality is poor.Particularly blue region, is greater than 0.5, often there is cavity.From Fig. 5, defect is abnormal accounts for cross-sectional area comparatively greatly, and the equal existing defects in position that distance ground binder 2m meets mould place is abnormal, and this highly exists closed hoop concrete defect to infer this bridge pier; On the whole, this pier concrete pouring quality is poor.
As can be seen here, the Cylindrical Pier quality determining method based on data slicer provided by the invention, has the following advantages:
(1) under the prerequisite not affecting concrete performance, Non-Destructive Testing is carried out to Cylindrical Pier internal soundness, and, simple method can be adopted, Fast Reconstruction bridge pier casting quality defect three-dimensional imaging figure, reflect the position of defect in concrete, shape and scope more intuitively, and there is higher accuracy and reliability.
(2) there is the low and fireballing advantage of three-dimensional imaging of testing cost, can promote the use of on a large scale.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should look protection scope of the present invention.
Claims (4)
1., based on a Cylindrical Pier quality determining method for data slicer, it is characterized in that, comprise the following steps:
S1, carries out quality testing to Cylindrical Pier, collects raw sensor data record; Concrete grammar is:
S1.1, arranges the initial instrument parameter value of detection radar, comprising: sample frequency and sweep speed, and wherein, the unit of sweep speed is/second, or road/rice;
S1.2, chooses the individual annular survey line vertical with the axial line of Cylindrical Pier of n at the outside surface of described Cylindrical Pier;
With the axial line of described Cylindrical Pier for Z axis, the plane at each described annular survey line place is defined as XOY plane respectively, records the Z value of each described annular survey line;
S1.3, for each described annular survey line, be defined as survey line starting point, from described survey line starting point with the position of intersecting point of X-axis positive dirction and described annular survey line, carry out detection record by sweep speed movable radar antenna scanning one week, record obtains cross-sectional data record thus; Wherein, described cross-sectional data record is made up of m track data record, and, by scanning sequencing, described m track data record is designated as respectively: the 1st track data record, the 2nd track data record, the 3rd track data record ... m track data record;
The acquisition mode of every track data record is: when radar antenna moves to any one sensing point along described annular survey line, make radar antenna and described sensing point close contact, then, radar antenna launches electromagnetic pulse towards the center position of described annular survey line, and record two way travel time t and the amplitude A of the reflection wave constantly received, obtain the track data record corresponding to this sensing point thus;
S1.4, if choose P annular survey line altogether, then record obtains P cross-sectional data record altogether, and described P cross-sectional data record is described raw sensor data record;
S2, carries out digital signal processing to the amplitude A in described raw sensor data record, obtains the detection data after processing, the detection data after process are denoted as λ;
S3, to the detection data analysis after described process, calculates the three dimensional space coordinate value of each sampled point in each cross-sectional data record in every track data record; Specific analytical method is as follows:
S3.1, for arbitrary described annular survey line, the radius r of total number of channels m and Cylindrical Pier is known, then calculate the angle α between neighboring track according to following formula;
α＝2π/(m-1)；
S3.2, by m track data record by scanning sequencing, is designated as: the 1st track data record, the 2nd track data record successively ... m track data record;
For arbitrary i-th track data record, establish by sampling rule and choose y sampled point altogether, by two way travel time by little and large order, y sampled point is designated as successively: P
1, P
2p
y;
The velocity of propagation of electromagnetic wave in concrete is denoted as v, then the depth value S of each sampled point is by following formulae discovery:
S＝vP/2；
Wherein, P is the two way travel time of sampled point;
Obtain the depth value of each sampled point thus, by P
1, P
2p
ydepth value be designated as successively: S
1, S
2s
y;
Then: set up rectangular coordinate system, wherein, x-axis direction is the X-axis positive dirction in S1.3;
For any one sampled point P in y sampled point
i, its depth value is S
i; Its two-dimensional coordinate in described rectangular coordinate system is respectively:
X
i＝(r-S
i)cosα
i；
Yi＝(r-S
i)sinα
i；
Wherein, α
i=α (i-1);
S3.3, calculates the two-dimensional coordinate of all sampled points in each annular survey line thus; Because the depth value z of annular survey line is known, the two-dimensional coordinate by all sampled points is converted into three dimensional space coordinate;
S4, based on three-dimensional imaging software, using the three dimensional space coordinate value of each sampled point and carried out the parameter λ value after digital signal processing as input, obtains the detections of radar three-dimensional imaging figure reflecting bridge pier casting quality defect.
2. the Cylindrical Pier quality determining method based on data slicer according to claim 1, is characterized in that, in S1.3, X-axis positive dirction is direction, due east or road circuit working direction.
3. the Cylindrical Pier quality determining method based on data slicer according to claim 1, it is characterized in that, S2 is specially:
Carry out zero correction, gain, filtering and spectrum to the amplitude A in described raw sensor data record than analysis, then, to sample by setting sample interval to every track data record, obtain the detection data record after processing.
4. the Cylindrical Pier quality determining method based on data slicer according to claim 1, is characterized in that, in S4, in described detections of radar three-dimensional imaging figure, is shown the detection data λ of each sampled point by different colourity.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510020248.9A CN104536001B (en) | 2015-01-15 | 2015-01-15 | Cylindrical pier quality detection method based on data slices |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510020248.9A CN104536001B (en) | 2015-01-15 | 2015-01-15 | Cylindrical pier quality detection method based on data slices |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104536001A true CN104536001A (en) | 2015-04-22 |
| CN104536001B CN104536001B (en) | 2017-01-18 |
Family
ID=52851563
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510020248.9A Active CN104536001B (en) | 2015-01-15 | 2015-01-15 | Cylindrical pier quality detection method based on data slices |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104536001B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106291542A (en) * | 2015-07-08 | 2017-01-04 | 云南航天工程物探检测股份有限公司 | A kind of tunnel three-D imaging method |
| CN106918812A (en) * | 2017-03-30 | 2017-07-04 | 招商局重庆交通科研设计院有限公司 | Underwater foundation detection means and method based on supersonic sounding and Three Dimensional Reconfiguration |
| CN111474542A (en) * | 2020-04-27 | 2020-07-31 | 云南航天工程物探检测股份有限公司 | Method for realizing three-dimensional detection by using geological radar space scanning |
| CN111727361A (en) * | 2018-02-15 | 2020-09-29 | Phyn有限责任公司 | Building type classification |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5859609A (en) * | 1991-08-30 | 1999-01-12 | Battelle Memorial Institute | Real-time wideband cylindrical holographic surveillance system |
| CN103018738A (en) * | 2011-09-20 | 2013-04-03 | 中国科学院电子学研究所 | Microwave three-dimensional imaging method based on rotary antenna array |
| CN103105609A (en) * | 2013-01-31 | 2013-05-15 | 北京师范大学 | Method of utilizing ground penetrating radar data to construct tree root system three-dimensional image |
| CN103968894A (en) * | 2014-05-27 | 2014-08-06 | 云南省公路科学技术研究院 | Mobile bridge pier stud quality detection device |
| CN104264722A (en) * | 2014-09-30 | 2015-01-07 | 云南航天工程物探检测股份有限公司 | Finished bridge foundation pile nondestructive testing method |
-
2015
- 2015-01-15 CN CN201510020248.9A patent/CN104536001B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5859609A (en) * | 1991-08-30 | 1999-01-12 | Battelle Memorial Institute | Real-time wideband cylindrical holographic surveillance system |
| CN103018738A (en) * | 2011-09-20 | 2013-04-03 | 中国科学院电子学研究所 | Microwave three-dimensional imaging method based on rotary antenna array |
| CN103105609A (en) * | 2013-01-31 | 2013-05-15 | 北京师范大学 | Method of utilizing ground penetrating radar data to construct tree root system three-dimensional image |
| CN103968894A (en) * | 2014-05-27 | 2014-08-06 | 云南省公路科学技术研究院 | Mobile bridge pier stud quality detection device |
| CN104264722A (en) * | 2014-09-30 | 2015-01-07 | 云南航天工程物探检测股份有限公司 | Finished bridge foundation pile nondestructive testing method |
Non-Patent Citations (1)
| Title |
|---|
| 冯温雅 等: "结构扫描雷达对钢筋混凝土构件的三维切片成像", 《物探与化探》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106291542A (en) * | 2015-07-08 | 2017-01-04 | 云南航天工程物探检测股份有限公司 | A kind of tunnel three-D imaging method |
| CN106291542B (en) * | 2015-07-08 | 2018-08-17 | 云南航天工程物探检测股份有限公司 | A kind of tunnel three-D imaging method |
| CN106918812A (en) * | 2017-03-30 | 2017-07-04 | 招商局重庆交通科研设计院有限公司 | Underwater foundation detection means and method based on supersonic sounding and Three Dimensional Reconfiguration |
| CN111727361A (en) * | 2018-02-15 | 2020-09-29 | Phyn有限责任公司 | Building type classification |
| US11635342B2 (en) | 2018-02-15 | 2023-04-25 | Phyn Llc | Building type classification |
| CN111474542A (en) * | 2020-04-27 | 2020-07-31 | 云南航天工程物探检测股份有限公司 | Method for realizing three-dimensional detection by using geological radar space scanning |
| CN111474542B (en) * | 2020-04-27 | 2023-04-28 | 云南航天工程物探检测股份有限公司 | Method for realizing three-dimensional detection by utilizing geological radar space scanning |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104536001B (en) | 2017-01-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2352930C1 (en) | Method for reduction of digitised data in probe emat - "salamander" | |
| CN102175166B (en) | Device for detecting thickness of oil film between cylinder sleeve and piston ring of diesel engine | |
| CN106291542B (en) | A kind of tunnel three-D imaging method | |
| CN111751392B (en) | Steel bar corrosion detection method based on dual-polarization ground penetrating radar | |
| CN102680575B (en) | A kind of impact mapping method of Complicate soil medium and system | |
| CN104536001A (en) | Cylindrical pier quality detection method based on data slices | |
| CN109085235B (en) | Ultrasonic comprehensive factor graph recognition detection method for sleeve grouting fullness | |
| CN104535648A (en) | Method for detecting ultrasonic guided wave of turbine blades | |
| JP6379475B2 (en) | Vibration analyzer | |
| CN112233248A (en) | Surface flatness detection method, system and medium based on three-dimensional point cloud | |
| CN104634238A (en) | Method and device for measuring reinforcement protective layer thickness | |
| CN104374828A (en) | Ultrasonic tomography imaging method of detection on hidden defect | |
| CN110346454A (en) | Concrete superficial layer ultrasound surface wave detection method based on arranged type ultrasonic vibration source | |
| CN103926313A (en) | Composite material porosity value evaluation method based on ultrasonic detection | |
| CN103217256A (en) | Local gray level-entropy difference leak detection locating method based on infrared image | |
| CN113607823A (en) | Method for detecting depth of longitudinal crack of cylindrical concrete by utilizing ultrasonic waves | |
| CN106770668B (en) | Method for detecting quality of single-hole foundation pile by acoustic transmission method | |
| CN112857698A (en) | Method for detecting wall leakage based on surface acoustic waves | |
| CN113808092A (en) | Method, system, device and medium for detecting debonding defect of steel pipe concrete interface | |
| CN110220968A (en) | A kind of three axis defect and magnetic leakage detection devices for ferrimagnet | |
| CN110208383A (en) | A kind of plate-structure lamb wave based on reversing paths difference signal is without reference imaging method | |
| CN103969334B (en) | Large-size concrete component defect stress ripple method for quick | |
| CN109059813A (en) | A kind of hoisting machinery corrosion of steel structure strength detecting method | |
| US6923046B2 (en) | Arrangement and method to measure cylinder pressure in a combustion engine | |
| CN109669205A (en) | A kind of Peak Search Method of seawater radionuclide K40 element |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A Quality Detection Method for Cylindrical Bridge Piers Based on Data Slicing Effective date of registration: 20230626 Granted publication date: 20170118 Pledgee: Kunming Branch of China Everbright Bank Co.,Ltd. Pledgor: YUNNAN AEROSPACE ENGINEERING GEOPHYSICAL SURVEY INSPECTION Co.,Ltd. Registration number: Y2023530000043 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Granted publication date: 20170118 Pledgee: Kunming Branch of China Everbright Bank Co.,Ltd. Pledgor: YUNNAN AEROSPACE ENGINEERING GEOPHYSICAL SURVEY INSPECTION Co.,Ltd. Registration number: Y2023530000043 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A quality inspection method for cylindrical bridge piers based on data slicing Granted publication date: 20170118 Pledgee: Kunming Branch of China Everbright Bank Co.,Ltd. Pledgor: YUNNAN AEROSPACE ENGINEERING GEOPHYSICAL SURVEY INSPECTION Co.,Ltd. Registration number: Y2024530000025 |