CN106595497A - Building surface crack real-time monitoring and early warning system and early warning method thereof - Google Patents
Building surface crack real-time monitoring and early warning system and early warning method thereof Download PDFInfo
- Publication number
- CN106595497A CN106595497A CN201710058285.8A CN201710058285A CN106595497A CN 106595497 A CN106595497 A CN 106595497A CN 201710058285 A CN201710058285 A CN 201710058285A CN 106595497 A CN106595497 A CN 106595497A
- Authority
- CN
- China
- Prior art keywords
- crack
- data
- early warning
- processing terminal
- building
- 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.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 39
- 230000008859 change Effects 0.000 claims abstract description 22
- 238000012806 monitoring device Methods 0.000 claims abstract description 11
- 239000003550 marker Substances 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000007246 mechanism Effects 0.000 claims description 3
- 230000004297 night vision Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 3
- 230000001960 triggered effect Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 229910003460 diamond Inorganic materials 0.000 description 1
- 239000010432 diamond Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/03—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by measuring coordinates of points
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention discloses a building surface crack real-time monitoring and early warning system and an early warning method thereof. The early warning system comprises markers arranged at the places of building surface cracks and deforming synchronously with the cracks, and a data acquisition system for collecting deformation data of the markers. The data acquisition system comprises M data acquisition devices, M being a positive integer. Each data acquisition device comprises a monitoring device. The monitoring devices are used for collecting the deformation data of the markers and are connected with a data processing terminal through a signal transceiver. The data processing terminal obtains change data of the building surface cracks according to the movement data of the markers and displays the change data. All devices are simple and easy to assemble and safe and easy to operate; and the system and method are not limited by weather and the geographical environment factors, and realize all-weather 24-hour real-time remote monitoring of monitoring points.
Description
Technical Field
The invention relates to the technical field of building surface crack early warning, in particular to a building surface crack real-time monitoring early warning system and an early warning method thereof.
Background
The traditional safety monitoring research of the surface cracks of the buildings mainly adopts an artificial mechanical mode, including a micrometer observation method, a crack measuring instrument and the like. The traditional observation method is visual and simple, but has serious systematic errors and random errors, is very easy to be interfered by weather and geographic factors due to manual problems, and cannot carry out repeated observation in large quantity. Therefore, the traditional observation method generally has the problems of poor data precision, less observation data, easy interference, easy pollution of data recording paper quality and the like.
Disclosure of Invention
The invention aims to at least solve the technical problems in the prior art, and particularly innovatively provides a real-time monitoring and early warning system and an early warning method for a building surface crack.
In order to achieve the purpose, the invention provides a real-time monitoring and early warning system for a building surface crack, which comprises markers and a data acquisition system, wherein the markers are arranged on two sides of the building surface crack and move synchronously with a wall body; the data acquisition system comprises M data acquisition devices, wherein M is a positive integer; the data acquisition device comprises monitoring equipment, and the monitoring equipment acquires marker movement data and is connected with the data processing terminal through a signal transceiver; and the data processing terminal obtains and displays the change data of the surface cracks of the building according to the marker movement data.
The monitoring equipment collects image information of crack changes, the collected image information is subjected to noise filtering through the signal transceiver and then is transmitted to the data processing terminal for processing, and the change value of the crack to be detected is displayed on the data processing terminal. Therefore, the advantages of high data precision, more observation data, difficult interference, difficult pollution of data records and easy storage and comparison are realized.
In a preferred embodiment of the invention, the system further comprises an alarm device, the alarm device is connected with the data processing terminal, when the change data of the surface cracks of the building is larger than or equal to the set threshold value, the data processing terminal sends a warning command to the alarm device, and the alarm device sends an alarm signal. And timely reminding workers of paying attention to the crack change value exceeding or equal to the set threshold value.
In a preferred embodiment of the present invention, the monitoring device is disposed on a cradle head base, the cradle head base is disposed on the cradle, an information transceiving end of the cradle head base is connected to a data processing terminal through a signal transceiver, and the data processing terminal transmits a control signal to the cradle head base to control the movement of the cradle head base. The data processing terminal can send out signals to control the holder base to rotate and pitch for 360 degrees, and the monitoring equipment is adjusted to be in the best state. The lifting of the holder base can be realized only by adding a lifting system on the VT-V10 type holder base.
In a preferred embodiment of the invention, the marker is horizontally disposed on both sides of the slit and is in a similar pattern.
In a preferred embodiment of the present invention, the marker has a regular triangle shape. Three vertexes of the triangle are taken, so that the later-stage calculation processing is facilitated.
In a preferred embodiment of the present invention, a fluorescent substance is coated on the surface of the marker. The positioning can be carried out at night to shoot and acquire data images.
In a preferred embodiment of the invention, the monitoring device is a wireless high-resolution night vision camera. The shooting effect is clearer, and the post-calculation processing is easy.
The invention also discloses an early warning method of the building surface crack real-time monitoring early warning system, which comprises the following steps:
s1, selecting an observation area of the crack to be detected on the surface of the building, and fixedly placing triangular markers on two sides of the crack to be detected;
s2, setting observation distance, fixing the wireless camera, making the marker in the central area of the camera lens, and determining the related scale;
s3, setting the best shooting frequency of the camera according to the requirement of data precision; rotating a holder base according to the requirement of a shooting angle, and adjusting a camera lens to the optimal shooting monitoring direction;
s4, the data acquisition system wirelessly transmits the acquired image data to the signal transceiver;
s5, the signal transceiver filters the received data, amplifies the effective image data, and transmits the amplified effective image data to the data processing terminal in a wireless way;
s6, after receiving image data, the data processing terminal calculates the distance change of N points corresponding to different triangular markers on two sides of a crack in the image shot by the same camera, wherein N is a positive integer, calculates the width change of the crack to be detected, and carries out data classification recording and generates width change curves of different cracks;
s7, the data processing terminal compares the processed crack width value with a set threshold value, if the crack width value is lower than the threshold value, the data processing terminal continues to receive and process the image information data; if the threshold value is exceeded or equal to the threshold value, an early warning mechanism is automatically triggered, and a safety alarm is sent out.
In a preferred embodiment of the present invention, in step S6, when N is 3, the method for calculating the change in the width of the crack to be measured is:
wherein d ist→t+iThe width of the crack to be measured from the time t to the time t + i,andthe distances of the corresponding three vertexes of different triangles at the two sides of the crack at the moment t,the distances of three corresponding vertexes of different triangles on two sides of the crack at the moment of t + i are calculated;
wherein,andcoordinates of three vertexes of a triangle at one side of the crack in the image shot by the same camera at the time t,andcoordinates of three vertexes of a triangle at one side adjacent to the crack in the image shot by the same camera at the moment t;
wherein,andcoordinates of three vertexes of a triangle at one side of the crack in the image shot by the same camera at the moment of t + i,andand coordinates of three vertexes of a triangle at one side adjacent to the crack in the shot image of the same camera at the moment of t + i.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
(1) all data are processed in a digital mode, and are automatically backed up and stored, so that the data are easy to query and analyze;
(2) the system is not limited by weather and geographical environment factors, and realizes all-weather 24-hour real-time remote monitoring on monitoring points;
(3) all the devices are simple and easy to assemble, safe and easy to operate;
(4) random errors are reduced and monitoring precision is improved through intelligent analysis and processing of a computer;
(5) real-time early warning is realized, safety alarm is timely sent out, and loss of crack disasters is effectively avoided.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Fig. 2 is a schematic structural diagram of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used merely for convenience of description and for simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention.
In the description of the present invention, unless otherwise specified and limited, it is to be noted that the terms "mounted," "connected," and "connected" are to be interpreted broadly, and may be, for example, a mechanical connection or an electrical connection, a communication between two elements, a direct connection, or an indirect connection via an intermediate medium, and specific meanings of the terms may be understood by those skilled in the art according to specific situations.
The invention provides a real-time monitoring and early warning system, which comprises markers 6 and a data acquisition system, wherein the markers 6 are arranged on two sides of a surface crack 5 of a building 4 and move synchronously with a wall body, and the data acquisition system is used for acquiring the movement data of the markers; the data acquisition system comprises M data acquisition devices 1, wherein M is a positive integer; the data acquisition device comprises a monitoring device 7, wherein the monitoring device 7 acquires marker movement data and is connected with the data processing terminal 3 through the signal transceiver 2; and the data processing terminal obtains and displays the change data of the surface cracks of the building according to the movement data of the marker.
In a preferred embodiment of the invention, the system further comprises an alarm device, the alarm device is connected with the data processing terminal, when the change data of the surface cracks of the building is larger than or equal to the set threshold value, the data processing terminal sends a warning command to the alarm device, and the alarm device sends an alarm signal.
In a preferred embodiment of the invention, the monitoring device further comprises a support and a tripod head, the monitoring device 7 is arranged on the tripod head base 8, the tripod head base 8 is arranged on the support 9, and the support adopts a tripod. The information receiving and transmitting end of the holder base is connected with the data processing terminal through the signal transceiver, and the data processing terminal transmits a control signal to the holder base to control the movement of the holder base.
In a preferred embodiment of the invention, the markers are horizontally disposed on both sides of the slit and are similarly patterned. In the present embodiment, the similar figures include the same figure and a figure which is scaled up or down by the same figure, for example, two dots which are identical, two triangles which are identical, or a quadrangle which is different from another quadrangle by 2 or 0.7 times in an equal scale.
In a preferred embodiment of the present invention, the marker is in the shape of a regular triangle. In this embodiment, the shape of the marker may also be rectangular, square, diamond, or other shape; when the shape is a quadrangle, four vertexes are taken.
In a preferred embodiment of the present invention, the surface of the marker is coated with a fluorescent substance.
In a preferred embodiment of the invention, the monitoring device is a wireless high-resolution night vision camera.
The invention discloses an early warning method of a real-time monitoring early warning system, which comprises the following steps:
firstly, selecting an observation area of a crack to be detected on the surface of a building, and fixedly placing triangular markers on two sides of the crack to be detected;
secondly, setting an observation distance, fixing the wireless camera, enabling the marker to be positioned in the central area of a camera lens, and determining a related scale;
thirdly, setting the optimal shooting frequency of the camera according to the requirement of data precision; rotating a holder base according to the requirement of a shooting angle, and adjusting a camera lens to the optimal shooting monitoring direction;
fourthly, the data acquisition system wirelessly transmits the acquired image data to the signal transceiver;
fifthly, filtering after the signal transceiver receives the data, amplifying the effective image data, and transmitting the effective image data to a data processing terminal in a wireless manner; in this embodiment, the signal transceiver filters the received data information to remove noise and obtain effective image information, and amplifies the data information to make the image more accurate.
Sixthly, after receiving the image data, the data processing terminal calculates the distance change of N points corresponding to different triangular markers on two sides of the crack in the image shot by the same camera, wherein N is a positive integer, calculates the width change of the crack to be detected, and carries out data classification recording and generates width change curves of different cracks; in this embodiment, when N is 3, the method for calculating the change in the width of the crack to be measured is as follows:
wherein d ist→t+iThe width of the crack to be measured from the time t to the time t + i,andthe distances of the corresponding three vertexes of different triangles at the two sides of the crack at the moment t,the distances of three corresponding vertexes of different triangles on two sides of the crack at the moment of t + i are calculated;
wherein,andcoordinates of three vertexes of a triangle at one side of the crack in the image shot by the same camera at the time t,andcoordinates of three vertexes of a triangle at one side adjacent to the crack in the image shot by the same camera at the moment t;
wherein,andcoordinates of three vertexes of a triangle at one side of the crack in the image shot by the same camera at the moment of t + i,andand coordinates of three vertexes of a triangle at one side adjacent to the crack in the shot image of the same camera at the moment of t + i. In the present embodiment, only the calculation is performedThe distances between three vertexes of the regular triangle corresponding to the two sides of the crack are calculated, and the average value of the distances is calculated; the distance between any corresponding points on three sides of the regular triangle at two sides of the crack can be calculated, and the average value of the distances can be calculated.
Step seven, the data processing terminal compares the processed crack width value with a set threshold value, and if the crack width value is lower than the threshold value, the data processing terminal continues to receive and process image information data; if the threshold value is exceeded or equal to the threshold value, an early warning mechanism is automatically triggered, and a safety alarm is sent out.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (9)
1. A real-time monitoring and early warning system for a building surface crack is characterized by comprising markers which are arranged on two sides of the building surface crack and move synchronously with a wall body, and a data acquisition system for acquiring the movement data of the markers;
the data acquisition system comprises M data acquisition devices, wherein M is a positive integer;
the data acquisition device comprises monitoring equipment, and the monitoring equipment acquires marker movement data and is connected with the data processing terminal through a signal transceiver;
and the data processing terminal obtains and displays the change data of the surface cracks of the building according to the marker movement data.
2. The system for monitoring and warning the surface cracks of the building in real time as claimed in claim 1, further comprising an alarm device, wherein the alarm device is connected with the data processing terminal, when the change data of the surface cracks of the building are larger than or equal to a set threshold value, the data processing terminal sends out a warning command to the alarm device, and the alarm device sends out an alarm signal.
3. The real-time monitoring and early warning system for the surface cracks of the building as claimed in claim 1, further comprising a support and a cradle head, wherein the monitoring device is arranged on a cradle head base, the cradle head base is arranged on the support, an information receiving and transmitting end of the cradle head base is connected with a data processing terminal through a signal transceiver, and the data processing terminal transmits a control signal to the cradle head base to control the motion of the cradle head base.
4. The real-time monitoring and early warning system for the surface crack of the building as claimed in claim 1, wherein the marker is horizontally arranged on two sides of the crack and is in a similar pattern.
5. The real-time monitoring and early warning system for cracks on the surface of a building as claimed in claim 1 or 4, wherein the shape of the marker is a regular triangle.
6. The real-time monitoring and early warning system for surface cracks of buildings according to claim 1, characterized in that the surface of the marker is coated with fluorescent substance.
7. The real-time monitoring and early warning system for cracks on the surface of a building as claimed in claim 1, wherein the monitoring device is a wireless high-resolution night vision camera.
8. The early warning method of the building surface crack real-time monitoring early warning system according to claim 1, characterized by comprising the following steps:
s1, selecting an observation area of the crack to be detected on the surface of the building, and fixedly placing triangular markers on two sides of the crack to be detected;
s2, setting observation distance, fixing the wireless camera, making the marker in the central area of the camera lens, and determining the related scale;
s3, setting the best shooting frequency of the camera according to the requirement of data precision; rotating a holder base according to the requirement of a shooting angle, and adjusting a camera lens to the optimal shooting monitoring direction;
s4, the data acquisition system wirelessly transmits the acquired image data to the signal transceiver;
s5, the signal transceiver filters the received data, amplifies the effective image data, and transmits the amplified effective image data to the data processing terminal in a wireless way;
s6, after receiving image data, the data processing terminal calculates the distance change of N points corresponding to different triangular markers on two sides of a crack in the image shot by the same camera, wherein N is a positive integer, calculates the width change of the crack to be detected, and carries out data classification recording and generates width change curves of different cracks;
s7, the data processing terminal compares the processed crack width value with a set threshold value, if the crack width value is lower than the threshold value, the data processing terminal continues to receive and process the image information data; if the threshold value is exceeded or equal to the threshold value, an early warning mechanism is automatically triggered, and a safety alarm is sent out.
9. The early warning method of the real-time monitoring and early warning system for the surface crack of the building as claimed in claim 8, wherein in step S6, when N is 3, the calculation method of the width change of the crack to be measured is as follows:
wherein d ist→t+iThe width of the crack to be measured from the time t to the time t + i,andthe distances of the corresponding three vertexes of different triangles at the two sides of the crack at the moment t,the distances of three corresponding vertexes of different triangles on two sides of the crack at the moment of t + i are calculated;
wherein,andcoordinates of three vertexes of a triangle at one side of the crack in the image shot by the same camera at the time t,andcoordinates of three vertexes of a triangle at one side adjacent to the crack in the image shot by the same camera at the moment t;
wherein,andcoordinates of three vertexes of a triangle at one side of the crack in the image shot by the same camera at the moment of t + i,andand coordinates of three vertexes of a triangle at one side adjacent to the crack in the shot image of the same camera at the moment of t + i.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710058285.8A CN106595497A (en) | 2017-01-23 | 2017-01-23 | Building surface crack real-time monitoring and early warning system and early warning method thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710058285.8A CN106595497A (en) | 2017-01-23 | 2017-01-23 | Building surface crack real-time monitoring and early warning system and early warning method thereof |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106595497A true CN106595497A (en) | 2017-04-26 |
Family
ID=58585413
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710058285.8A Pending CN106595497A (en) | 2017-01-23 | 2017-01-23 | Building surface crack real-time monitoring and early warning system and early warning method thereof |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106595497A (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109138159A (en) * | 2018-09-04 | 2019-01-04 | 沈阳炳恒科技有限公司 | It is a kind of to fill the steel structure connecting member for prejudging alarm rod |
CN109141382A (en) * | 2017-08-11 | 2019-01-04 | 上海华测导航技术股份有限公司 | A kind of building safety detection system |
CN109541022A (en) * | 2018-10-30 | 2019-03-29 | 中铁大桥科学研究院有限公司 | A kind of bridge structure crack health monitoring analysis method |
CN109632103A (en) * | 2018-11-22 | 2019-04-16 | 西安理工大学 | High vacant building Temperature Distribution and surface crack remote supervision system and monitoring method |
CN111536881A (en) * | 2020-05-09 | 2020-08-14 | 广东有色工程勘察设计院 | Crack automatic detector with camera |
CN111735434A (en) * | 2020-03-25 | 2020-10-02 | 南京理工大学 | Method for measuring crack development change based on three-dimensional space angle |
CN112215077A (en) * | 2020-09-14 | 2021-01-12 | 北京中铁建建筑科技有限公司 | Image recognition building structure crack monitoring system and method |
CN112284260A (en) * | 2020-09-30 | 2021-01-29 | 深圳市北斗云信息技术有限公司 | Visual displacement monitoring method, equipment and system |
CN113155045A (en) * | 2020-10-24 | 2021-07-23 | 深圳市北斗云信息技术有限公司 | Group measurement group prevention displacement measurement method, equipment and system |
Citations (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101639345A (en) * | 2009-08-03 | 2010-02-03 | 塔米智能科技(北京)有限公司 | Indoor locating method |
CN101688769A (en) * | 2007-07-03 | 2010-03-31 | G科德系统有限公司 | Pre tension monitoring solution |
CN201488701U (en) * | 2009-06-05 | 2010-05-26 | 北京科力华安地质灾害监测技术有限公司 | Portable and simple laser distance-measuring visualizer for landslide |
CN102182137A (en) * | 2011-02-25 | 2011-09-14 | 广州飒特电力红外技术有限公司 | Pavement defect detection system and method |
CN102758622A (en) * | 2012-04-28 | 2012-10-31 | 中国神华能源股份有限公司 | Monitoring method for earth surface environment damage in underground mining area |
CN102759337A (en) * | 2012-04-28 | 2012-10-31 | 中国神华能源股份有限公司 | Method for monitoring dynamic fractures of underground mining working face |
CN202562406U (en) * | 2012-04-28 | 2012-11-28 | 中国神华能源股份有限公司 | Mining fissure monitoring device |
CN103033170A (en) * | 2012-12-19 | 2013-04-10 | 山东大学 | Device and method for monitoring collapse of dangerous rock by video recording method |
CN103115608A (en) * | 2013-02-04 | 2013-05-22 | 长安大学 | Instrument and method for monitoring cavity beneath tunnel passing through ground fissure zone |
CN203479260U (en) * | 2013-08-30 | 2014-03-12 | 中国科学院西安光学精密机械研究所 | Railway tunnel crack width measuring instrument |
CN103697823A (en) * | 2013-12-27 | 2014-04-02 | 天津大学 | Measurement method for displacement of point of application and crack mouth opening displacement for fracture toughness |
CN103790108A (en) * | 2013-12-16 | 2014-05-14 | 重庆岩安科技有限公司 | Comprehensive bridge detection device |
CN103994724A (en) * | 2014-05-13 | 2014-08-20 | 滕军 | Method for monitoring two-dimensional displacement and strain of structure based on digital image processing technology |
CN203878470U (en) * | 2013-12-16 | 2014-10-15 | 重庆岩安科技有限公司 | Comprehensive detection device for bridge |
CN104463888A (en) * | 2014-12-19 | 2015-03-25 | 中国科学院武汉岩土力学研究所 | Crack width change monitoring device and method |
CN104715575A (en) * | 2013-12-12 | 2015-06-17 | 熊清远 | Landslide monitoring and alarming method and device base on laser ranging |
CN105066909A (en) * | 2015-09-01 | 2015-11-18 | 华中科技大学 | Hand-held multi-laser-stripe quick three-dimensional measuring method |
CN105157757A (en) * | 2015-10-20 | 2015-12-16 | 国网重庆市电力公司电力科学研究院 | Geological environment monitoring method and apparatus |
CN205541303U (en) * | 2016-01-25 | 2016-08-31 | 陕西省地质环境监测总站 | A crack and video linkage monitoring and early warning all -in -one for geology disaster monitoring |
-
2017
- 2017-01-23 CN CN201710058285.8A patent/CN106595497A/en active Pending
Patent Citations (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101688769A (en) * | 2007-07-03 | 2010-03-31 | G科德系统有限公司 | Pre tension monitoring solution |
CN201488701U (en) * | 2009-06-05 | 2010-05-26 | 北京科力华安地质灾害监测技术有限公司 | Portable and simple laser distance-measuring visualizer for landslide |
CN101639345A (en) * | 2009-08-03 | 2010-02-03 | 塔米智能科技(北京)有限公司 | Indoor locating method |
CN102182137A (en) * | 2011-02-25 | 2011-09-14 | 广州飒特电力红外技术有限公司 | Pavement defect detection system and method |
CN102758622A (en) * | 2012-04-28 | 2012-10-31 | 中国神华能源股份有限公司 | Monitoring method for earth surface environment damage in underground mining area |
CN102759337A (en) * | 2012-04-28 | 2012-10-31 | 中国神华能源股份有限公司 | Method for monitoring dynamic fractures of underground mining working face |
CN202562406U (en) * | 2012-04-28 | 2012-11-28 | 中国神华能源股份有限公司 | Mining fissure monitoring device |
CN103033170A (en) * | 2012-12-19 | 2013-04-10 | 山东大学 | Device and method for monitoring collapse of dangerous rock by video recording method |
CN103115608A (en) * | 2013-02-04 | 2013-05-22 | 长安大学 | Instrument and method for monitoring cavity beneath tunnel passing through ground fissure zone |
CN203479260U (en) * | 2013-08-30 | 2014-03-12 | 中国科学院西安光学精密机械研究所 | Railway tunnel crack width measuring instrument |
CN104715575A (en) * | 2013-12-12 | 2015-06-17 | 熊清远 | Landslide monitoring and alarming method and device base on laser ranging |
CN103790108A (en) * | 2013-12-16 | 2014-05-14 | 重庆岩安科技有限公司 | Comprehensive bridge detection device |
CN203878470U (en) * | 2013-12-16 | 2014-10-15 | 重庆岩安科技有限公司 | Comprehensive detection device for bridge |
CN103697823A (en) * | 2013-12-27 | 2014-04-02 | 天津大学 | Measurement method for displacement of point of application and crack mouth opening displacement for fracture toughness |
CN103994724A (en) * | 2014-05-13 | 2014-08-20 | 滕军 | Method for monitoring two-dimensional displacement and strain of structure based on digital image processing technology |
CN104463888A (en) * | 2014-12-19 | 2015-03-25 | 中国科学院武汉岩土力学研究所 | Crack width change monitoring device and method |
CN105066909A (en) * | 2015-09-01 | 2015-11-18 | 华中科技大学 | Hand-held multi-laser-stripe quick three-dimensional measuring method |
CN105157757A (en) * | 2015-10-20 | 2015-12-16 | 国网重庆市电力公司电力科学研究院 | Geological environment monitoring method and apparatus |
CN205541303U (en) * | 2016-01-25 | 2016-08-31 | 陕西省地质环境监测总站 | A crack and video linkage monitoring and early warning all -in -one for geology disaster monitoring |
Non-Patent Citations (1)
Title |
---|
张海明 等: "基于图像测量的某烟囱裂缝检测鉴定系统的设计与实现", 《工业建筑》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109141382A (en) * | 2017-08-11 | 2019-01-04 | 上海华测导航技术股份有限公司 | A kind of building safety detection system |
CN109138159A (en) * | 2018-09-04 | 2019-01-04 | 沈阳炳恒科技有限公司 | It is a kind of to fill the steel structure connecting member for prejudging alarm rod |
CN109541022A (en) * | 2018-10-30 | 2019-03-29 | 中铁大桥科学研究院有限公司 | A kind of bridge structure crack health monitoring analysis method |
CN109632103A (en) * | 2018-11-22 | 2019-04-16 | 西安理工大学 | High vacant building Temperature Distribution and surface crack remote supervision system and monitoring method |
CN109632103B (en) * | 2018-11-22 | 2020-02-14 | 西安理工大学 | High-altitude building temperature distribution and surface crack remote monitoring system and monitoring method |
CN111735434A (en) * | 2020-03-25 | 2020-10-02 | 南京理工大学 | Method for measuring crack development change based on three-dimensional space angle |
CN111536881A (en) * | 2020-05-09 | 2020-08-14 | 广东有色工程勘察设计院 | Crack automatic detector with camera |
CN112215077A (en) * | 2020-09-14 | 2021-01-12 | 北京中铁建建筑科技有限公司 | Image recognition building structure crack monitoring system and method |
CN112284260A (en) * | 2020-09-30 | 2021-01-29 | 深圳市北斗云信息技术有限公司 | Visual displacement monitoring method, equipment and system |
CN113155045A (en) * | 2020-10-24 | 2021-07-23 | 深圳市北斗云信息技术有限公司 | Group measurement group prevention displacement measurement method, equipment and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106595497A (en) | Building surface crack real-time monitoring and early warning system and early warning method thereof | |
CN110044289B (en) | Automatic zooming-based tunnel multi-section convergence deformation video monitoring device and method | |
CN109373980B (en) | Monitoring method and system based on video monitoring measuring instrument and inclinometry terminal | |
CN104713491B (en) | The method that the slope monitoring system of slope deforming three-dimensional data can be obtained and its obtain slope deforming three-dimensional data | |
CN109736894A (en) | A kind of monitoring system, monitoring method and method for early warning for coal mine roadway country rock disaster | |
CN112945137B (en) | Storage ore heap scanning method based on single-line laser radar and range finder equipment | |
CN104330048B (en) | A kind of railway snow depth measurement apparatus and method based on image | |
CN110702343B (en) | Deflection measurement system and method based on stereoscopic vision | |
CN208027170U (en) | A kind of power-line patrolling unmanned plane and system | |
CN109405747A (en) | Landslide surface displacement monitoring method and device based on plate | |
CN112330745A (en) | Tunnel portal side and elevation slope stability monitoring and early warning system and method based on binocular vision | |
CN110706273B (en) | Real-time collapse area measurement method based on unmanned aerial vehicle | |
CN208984029U (en) | A kind of system for engineering works deformation monitoring | |
CN112802004B (en) | Portable intelligent video detection device for health of power transmission line and pole tower | |
CN107962594B (en) | Real-time high-precision detection system of industrial robot | |
CN111664930B (en) | Frequency and image-based high slope rockfall integrated monitoring system and method | |
CN110715670A (en) | Method for constructing driving test panoramic three-dimensional map based on GNSS differential positioning | |
CN115762067B (en) | Landslide monitoring system based on laser point cloud and video data fusion | |
CN109084698A (en) | A kind of method and system for engineering works deformation monitoring | |
CN112068567A (en) | Positioning method and positioning system based on ultra-wideband and visual image | |
CN212160126U (en) | Miniature meteorological and environmental monitoring device | |
CN209857884U (en) | Monitoring system based on video monitoring measuring instrument and inclinometry terminal | |
CN117948889A (en) | Rail displacement real-time monitoring system | |
CN110453578A (en) | A kind of urban road detection robot system | |
CN218723923U (en) | Automatic slope deformation monitoring and early warning system based on machine vision |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170426 |
|
RJ01 | Rejection of invention patent application after publication |