CN112254660B - Tunnel intelligent monitoring and measuring information integration and early warning system - Google Patents
Tunnel intelligent monitoring and measuring information integration and early warning system Download PDFInfo
- Publication number
- CN112254660B CN112254660B CN202010962918.XA CN202010962918A CN112254660B CN 112254660 B CN112254660 B CN 112254660B CN 202010962918 A CN202010962918 A CN 202010962918A CN 112254660 B CN112254660 B CN 112254660B
- Authority
- CN
- China
- Prior art keywords
- tunnel
- monitoring
- data
- optical fiber
- early warning
- 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.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 69
- 230000010354 integration Effects 0.000 title claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 47
- 239000013307 optical fiber Substances 0.000 claims abstract description 43
- 230000003287 optical effect Effects 0.000 claims abstract description 39
- 230000005540 biological transmission Effects 0.000 claims abstract description 27
- 238000004458 analytical method Methods 0.000 claims abstract description 18
- 230000000007 visual effect Effects 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims description 24
- 238000005259 measurement Methods 0.000 claims description 17
- 238000012806 monitoring device Methods 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 8
- 230000008859 change Effects 0.000 claims description 7
- 238000006073 displacement reaction Methods 0.000 claims description 7
- 230000009467 reduction Effects 0.000 claims description 7
- 238000007405 data analysis Methods 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 238000012423 maintenance Methods 0.000 claims description 3
- 238000009423 ventilation Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 8
- 230000002093 peripheral effect Effects 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012805 post-processing Methods 0.000 description 2
- IYLGZMTXKJYONK-ACLXAEORSA-N (12s,15r)-15-hydroxy-11,16-dioxo-15,20-dihydrosenecionan-12-yl acetate Chemical compound O1C(=O)[C@](CC)(O)C[C@@H](C)[C@](C)(OC(C)=O)C(=O)OCC2=CCN3[C@H]2[C@H]1CC3 IYLGZMTXKJYONK-ACLXAEORSA-N 0.000 description 1
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- IYLGZMTXKJYONK-UHFFFAOYSA-N ruwenine Natural products O1C(=O)C(CC)(O)CC(C)C(C)(OC(C)=O)C(=O)OCC2=CCN3C2C1CC3 IYLGZMTXKJYONK-UHFFFAOYSA-N 0.000 description 1
Images
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
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C23/00—Non-electrical signal transmission systems, e.g. optical systems
- G08C23/06—Non-electrical signal transmission systems, e.g. optical systems through light guides, e.g. optical fibres
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/22—Adaptations for optical transmission
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses an integration and early warning system for tunnel intelligent monitoring and measuring information, which comprises an entrance to a cave monitoring assembly, an entrance to a cave monitoring assembly and a master control system, wherein the entrance to the cave monitoring assembly comprises: the visual processing device is in signal connection with the image acquisition device through the first information transmission device; the first information transmission device is used for transmitting image information acquired by the image acquisition device to the visual processing device and sending control information of the visual processing device to the image acquisition device; the hole body monitoring assembly comprises a distributed optical fiber sensor, a Brillouin optical frequency domain analysis device, a second information transmission device and a distributed optical fiber data processing device; the tunnel monitoring and early warning system with high intelligence, high integration and high coverage is provided.
Description
Technical Field
The invention relates to the field of tunnel safety monitoring, in particular to an intelligent tunnel monitoring and measuring information integration and early warning system.
Background
In the current general tunnel construction whole process, the adopted monitoring measure is to adopt the traditional method (such as a level gauge, a theodolite, a total station and the like) to select proper reference points inside and outside the tunnel when advancing along with the tunnel construction progress, the position outside the tunnel can utilize a geodesic GPS receiving device or other conventional surveying and mapping means to calibrate the position and the elevation of a measuring point, then the change conditions of the tunnel portal, the peripheral side slope and the earth surface are measured on the calibrated measuring point by the traditional instrument method, the position and the elevation of a reference point inside the tunnel can be measured according to the reference point outside the tunnel, and the reference point is used as an observation point for settlement inside the tunnel and deformation in each direction. In the process of excavating the opening, the side slope and the tunnel, the relative position relation before and after deformation is mainly observed in the deformation measurement of the body of the tunnel, so that the requirement on the specific position information of a measurement reference point is not high. In addition, because the monitoring of the tunnel portal and the side slope by the traditional method has high manual participation ratio, under the condition, the measurement frequency is limited, the number of the selected monitoring positions of the portal and the peripheral side slope is often limited, and meanwhile, errors caused by manual operation in the measurement process are difficult to be effectively controlled.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the defects in the prior art and provides a tunnel monitoring and early warning system with high intelligence, high integration and high coverage.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
an intelligent tunnel monitoring and measuring information integration and early warning system comprises a hole monitoring component, a hole body monitoring component and a master control system,
the entrance to a cave monitoring subassembly includes: the vision processing device is in signal connection with the image acquisition device through the first information transmission device;
the first information transmission device is used for transmitting image information acquired by the image acquisition device to the visual processing device and sending control information of the visual processing device to the image acquisition device;
the hole body monitoring assembly comprises a distributed optical fiber sensor, a Brillouin optical frequency domain analysis device, a second information transmission device and a distributed optical fiber data processing device; the Brillouin optical frequency domain analysis device and the distributed optical fiber data processing device are in signal connection with the second information transmission device;
the hole monitoring assembly is connected with the master control system through a first information transmission device, and the hole body monitoring assembly is connected with the master control system through a second information transmission device;
the distributed optical fiber sensor is buried at a preset position at the top of the tunnel and is used for collecting frequency shift value data of different sections of the tunnel body in the optical frequency domain;
the Brillouin optical frequency domain analysis device is used for monitoring optical frequency domain frequency shift values of different sections returned by the distributed optical fiber;
the distributed optical fiber data processing device is used for calculating the frequency shift value of the optical frequency domain to obtain the accumulated deformation of each position of the tunnel body;
the master control system is used for processing the data sent by the Brillouin optical frequency domain analysis device, returning the data to the distributed optical fiber data processing device and processing the data sent by the vision processing device to obtain the monitoring data results of the tunnel portal and the tunnel body.
Preferably, the master control system comprises a control center and a data storage center; the data storage center is connected with the control center;
the control center comprises a data analysis module, an early warning module and an operation center; the operation center comprises a display and an operation host, and the early warning module comprises an alarm and a display integrated in the operation center;
the control center receives data collected by the hole monitoring device and the hole body detection device, the data analysis module analyzes the collected data, the data are displayed on the display, the early warning module is started according to the fact that whether the data are abnormal or not, the control center processes abnormal conditions, and the data storage center stores the collected data and the data of the processed conditions.
Preferably, the image acquisition device is configured to include two sets of cameras, each set of cameras being configured to include a vibration determination algorithm module;
the opening monitoring device is configured to implement the following method:
step S10, judging whether the camera vibrates or displaces through a vibration judgment algorithm module, and if so, entering step S20; if no displacement or vibration occurs, go to step S50;
step S20, defining a whole motion attention area according to the image sequence generated by vibration or displacement;
step S30, the global motion parameter is iteratively estimated, and whether the global motion parameter reaches a satisfaction threshold value is judged;
step S40, if the global motion parameter does not reach the satisfaction threshold, the global motion parameter is used to correct the original image and cut, and the camera is calibrated;
step S50, calibrating the camera;
step S60, determining the central position of the pixels in the highlight area on the premise of no distortion image;
step S70, carrying out pixel deformation measurement, calculating a scale factor and actual deformation, and carrying out noise reduction treatment;
step S80, calculating the final deformation measurement values of the opening and the surrounding earth surface;
and step S90, acquiring a tunnel portal, a ground surface real-time monitoring curve and a ground settlement contour line and sending the curves to a master control system.
Preferably, the body-of-hole monitoring device is configured to implement the following method:
collecting frequency shift values of optical frequency domains of different sections in the tunnel body through a distributed optical fiber sensor;
carrying out noise reduction and monitoring on the frequency shift values of the optical frequency domains of different sections in the tunnel body through a Brillouin optical frequency domain analysis device, and transmitting the frequency shift values of the optical frequency domains of different sections in the tunnel body to a master control system through a second information transmission device;
the distributed optical fiber data processing device is used for processing the optical frequency domain change data fed back by the master control system to calculate and obtain the real-time deformation of each section of the optical fiber, and the deformation condition of each section of the tunnel body of the tunnel is obtained according to the optical fiber deformation.
Preferably, the overall control system is configured to implement the following method:
comparing the real-time monitoring curve of the tunnel portal and the ground surface with the ground settlement contour line with an engineering safety reference value to judge whether the tunnel portal and the ground surface are safe or not;
and comparing the deformation data of each section of the tunnel body with the engineering reference value to judge whether the tunnel body is safe.
Preferably, the control center can also be connected with fire fighting devices, drainage devices and ventilation devices inside the tunnel.
Preferably, the control center can also remotely connect a road maintenance department, a fire department and a traffic police department.
Compared with the prior art, the invention has the advantages that:
1. by utilizing a computer vision monitoring technology and a distributed optical fiber monitoring technology, a series of problems caused by manual monitoring by adopting a traditional method (a level, a theodolite and a total station) are solved, including but not limited to: the method has the advantages of complex operation, large artificial influence factor, low monitoring frequency, limited number of monitoring points and the like, can feed back the accumulated deformation of the position to be detected in real time and rapidly, and provides guarantee for the safety and high efficiency of engineering.
2. The computer vision processing monitoring system with double cameras is utilized to further optimize the image measurement precision under the computer vision technical condition, image information collected by the image collecting device is corrected by a calculation related algorithm adopted in post-processing, and meanwhile, the second camera is utilized to simultaneously observe the disturbance and the generated displacement change possibly suffered by the first camera, the tunnel portal deformation and the peripheral side slope and earth surface change conditions. And based on an improved Hough transform image recognition technology, the ground settlement isoline is interpreted, a hole slope deformation monitoring method based on computer vision is established, a method for manual measurement monitoring is replaced, and automatic early warning can be realized.
3. By using the distributed optical fiber sensing technology, the distributed optical fibers are embedded at appropriate measurement positions such as the top and the side of a hole, the Brillouin optical frequency domain analysis technology is used for obtaining the Brillouin frequency shift variation of different optical fiber sections, and the deformation of the optical fiber position of the section is inversely calculated after noise reduction, so that the real-time monitoring and the timely feedback of the whole section of the hole body can be realized, and powerful help is provided for the safety and the height of the whole tunnel construction.
4. The related technology and the arrangement equipment related to the system have simple structure, flexible arrangement and convenient construction; after the whole set of device is installed, the feedback on the influence of external conditions is smaller, and the measurement precision is higher; the device adopts a wired/wireless mode to transmit image data in real time and processes the image data in a computer at the rear end quickly, thereby realizing informatization and intellectualization of monitoring and measuring the tunnel portal and the whole tunnel body. And the feedback data obtained by the two novel monitoring technologies are processed in real time and then packaged to obtain real-time accumulated deformation curves observed in all directions, and the real-time accumulated deformation curves can be extracted in time in an engineering command center and a mobile terminal of an engineer.
Drawings
Fig. 1 is a schematic structural view of the present invention.
FIG. 2 is a flow chart of the steps of the present invention.
Detailed Description
In order to facilitate an understanding of the invention, the invention will be described more fully and in detail below with reference to the accompanying drawings and preferred embodiments, but the scope of the invention is not limited to the specific embodiments below.
As shown in fig. 1 and fig. 2, the tunnel intelligent monitoring and measuring information integration and early warning system of the present embodiment includes a hole monitoring component, a hole body monitoring component and a master control system,
the entrance to a cave monitoring subassembly includes: the vision processing device is in signal connection with the image acquisition device through the first information transmission device;
the first information transmission device is used for transmitting image information acquired by the image acquisition device to the visual processing device and sending control information of the visual processing device to the image acquisition device;
the hole body monitoring assembly comprises a distributed optical fiber sensor, a Brillouin optical frequency domain analysis device, a second information transmission device and a distributed optical fiber data processing device; the Brillouin optical frequency domain analysis device and the distributed optical fiber data processing device are in signal connection with the second information transmission device;
the hole monitoring assembly is connected with the master control system through a first information transmission device, and the hole body monitoring assembly is connected with the master control system through a second information transmission device;
the distributed optical fiber sensor is buried at a preset position at the top of the tunnel and is used for collecting frequency shift value data of different sections of the tunnel body in the optical frequency domain;
the Brillouin optical frequency domain analysis device is used for monitoring optical frequency domain frequency shift values of different sections returned by the distributed optical fiber;
the distributed optical fiber data processing device is used for calculating the frequency shift value of the optical frequency domain to obtain the accumulated deformation of each position of the tunnel body;
the master control system is used for processing the data sent by the Brillouin optical frequency domain analysis device, returning the data to the distributed optical fiber data processing device and processing the data sent by the vision processing device to obtain the monitoring data results of the tunnel portal and the tunnel body.
In order to ensure that the normal construction of the tunnel engineering is not influenced, a concrete abutment and an external frame with a certain height can be erected according to the engineering field condition, the concrete abutment ensures that the camera has a good visual field condition, and the external frame ensures that the disturbance received by the camera is relatively small under the weather conditions of wind, rain and the like. The camera is required to be capable of shooting the complete face of the opening and the peripheral earth surface side slope and all the arranged brightness marks, and the camera is required to be capable of shooting the whole face of the opening and the peripheral earth surface side slope and most of the arranged brightness marks as far as possible, so that the position information of the image shot by the camera can be corrected in the subsequent processing and calculation processes. The information transmission device is composed of a wireless network or a wired Ethernet and is connected to a computer vision processing computing device of a construction unit. If the site is far away from the engineering command center of the construction unit, the computer vision processing device can also be erected near the image acquisition device, and after the processing is finished, the information is transmitted back to the engineering command department through the information transmission device.
The tunnel body monitoring part utilizes a distributed optical fiber sensing technology and consists of a distributed optical fiber, a Brillouin optical frequency domain analysis device, an information transmission device and a distributed optical fiber data processing device.
And finally, packaging the measurement and monitoring results of all subsequent processing of the two monitoring parts, performing post-processing including the following steps, interpreting the accumulated settlement contour line of the real-time observation area, realizing the establishment of the final accumulated settlement deformation change curve of the opening and the opening body, finally displaying the curve in a project command center and a mobile terminal in each engineer, and establishing a complete tunnel construction intelligent monitoring and measuring information integration and early warning system.
Further, the master control system comprises a control center and a data storage center; the data storage center is connected with the control center;
the control center comprises a data analysis module, an early warning module and an operation center; the operation center comprises a display and an operation host, and the early warning module comprises an alarm and a display integrated in the operation center;
the control center receives data collected by the hole monitoring device and the hole body detection device, the data analysis module analyzes the collected data, the data are displayed on the display, the early warning module is started according to the fact that whether the data are abnormal or not, the control center processes abnormal conditions, and the data storage center stores the collected data and the data of the processed conditions.
Further, the image acquisition device is configured to comprise two groups of cameras, each group of cameras being configured to comprise a vibration judgment algorithm module;
the opening monitoring device is configured to implement the following method:
step S10, judging whether the camera vibrates or displaces through a vibration judgment algorithm module, and if so, entering step S20; if no displacement or vibration occurs, go to step S50;
step S20, defining a whole motion attention area according to the image sequence generated by vibration or displacement;
step S30, the global motion parameter is iteratively estimated, and whether the global motion parameter reaches a satisfaction threshold value is judged;
step S40, if the global motion parameter does not reach the satisfaction threshold, the global motion parameter is used to correct the original image and cut, and the camera is calibrated;
step S50, calibrating the camera;
step S60, determining the central position of the pixels in the highlight area on the premise of no distortion image;
step S70, carrying out pixel deformation measurement, calculating a scale factor and actual deformation, and carrying out noise reduction treatment;
step S80, calculating the final deformation measurement values of the opening and the surrounding earth surface;
and step S90, acquiring a tunnel portal, a ground surface real-time monitoring curve and a ground settlement contour line and sending the curves to a master control system.
Further, the cave body monitoring device is configured to realize the following method:
collecting frequency shift values of optical frequency domains of different sections in the tunnel body through a distributed optical fiber sensor;
carrying out noise reduction and monitoring on the frequency shift values of the optical frequency domains of different sections in the tunnel body through a Brillouin optical frequency domain analysis device, and transmitting the frequency shift values of the optical frequency domains of different sections in the tunnel body to a master control system through a second information transmission device;
the distributed optical fiber data processing device is used for processing the optical frequency domain change data fed back by the master control system to calculate and obtain the real-time deformation of each section of the optical fiber, and the deformation condition of each section of the tunnel body of the tunnel is obtained according to the optical fiber deformation.
Further, the overall control system is configured to implement the following method:
comparing the real-time monitoring curve of the tunnel portal and the ground surface with the ground settlement contour line with an engineering safety reference value to judge whether the tunnel portal and the ground surface are safe or not;
and comparing the deformation data of each section of the tunnel body with the engineering reference value to judge whether the tunnel body is safe.
Further, the control center can also be connected with fire fighting devices, drainage devices and ventilation devices inside the tunnel.
Further, the control center can be remotely connected with a road maintenance department, a fire department and a traffic police department.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. Information integration and early warning system are measurationed in tunnel intelligent monitoring, its characterized in that: the system comprises an opening monitoring component, a body monitoring component and a master control system,
the opening monitoring assembly comprises: the visual processing device is in signal connection with the image acquisition device through the first information transmission device;
the first information transmission device is used for transmitting image information acquired by the image acquisition device to the visual processing device and sending control information of the visual processing device to the image acquisition device;
the hole body monitoring assembly comprises a distributed optical fiber sensor, a Brillouin optical frequency domain analysis device, a second information transmission device and a distributed optical fiber data processing device; the Brillouin optical frequency domain analysis device and the distributed optical fiber data processing device are in signal connection with the second information transmission device;
the hole monitoring assembly is connected with the master control system through the first information transmission device, and the hole monitoring assembly is connected with the master control system through the second information transmission device;
the distributed optical fiber sensor is buried at a preset position at the top of the tunnel and is used for collecting frequency shift value data of different sections of the tunnel body in the optical frequency domain;
the Brillouin optical frequency domain analysis device is used for monitoring optical frequency domain frequency shift values of different sections returned by the distributed optical fiber;
the distributed optical fiber data processing device is used for calculating the frequency shift value of the optical frequency domain to obtain the accumulated deformation of each position of the tunnel body;
the master control system is used for processing the data sent by the Brillouin optical frequency domain analysis device and returning the data to the distributed optical fiber data processing device and is used for processing the data sent by the vision processing device to obtain monitoring data results of the tunnel portal and the tunnel body;
the master control system comprises a control center and a data storage center; the data storage center is connected with the control center;
the control center comprises a data analysis module, an early warning module and an operation center; the operation center comprises a display and an operation host, and the early warning module comprises an alarm and a display integrated in the operation center;
the control center receives data collected by the hole opening monitoring device and the hole body monitoring device, the data analysis module analyzes the collected data and displays the data on the display, the early warning module is started correspondingly according to the existence or nonexistence of the data, the control center processes abnormal conditions, and the data storage center stores the collected data and the data of the processed conditions;
the image acquisition device is configured to comprise two groups of cameras, each group of cameras being configured to comprise a vibration judgment algorithm module;
the opening monitoring device is configured to implement the following method:
step S10, judging whether the camera vibrates or displaces through the vibration judgment algorithm module, and if so, entering step S20; if no displacement or vibration occurs, go to step S50;
step S20, defining a whole motion attention area according to the image sequence generated by vibration or displacement;
step S30, the global motion parameter is iteratively estimated, and whether the global motion parameter reaches a satisfaction threshold value is judged;
step S40, if the global motion parameter does not reach the satisfaction threshold, the global motion parameter is used to correct the original image and cut, and the camera is calibrated;
step S50, calibrating the camera;
step S60, determining the central position of the pixels in the highlight area on the premise of no distortion image;
step S70, carrying out pixel deformation measurement, calculating a scale factor and actual deformation, and carrying out noise reduction treatment;
step S80, calculating the final deformation measurement values of the opening and the surrounding earth surface;
and step S90, acquiring a tunnel portal, a ground surface real-time monitoring curve and a ground settlement contour line and sending the curves to a master control system.
2. The tunnel intelligent monitoring measurement information integration and early warning system of claim 1, wherein: the cave body monitoring device is configured to realize the following method:
collecting frequency shift values of optical frequency domains of different sections in the tunnel body through a distributed optical fiber sensor;
carrying out noise reduction and monitoring on the frequency shift values of the optical frequency domains of different sections in the tunnel body through a Brillouin optical frequency domain analysis device, and transmitting the frequency shift values of the optical frequency domains of different sections in the tunnel body to a master control system through a second information transmission device;
the distributed optical fiber data processing device is used for processing the optical frequency domain change data fed back by the master control system to calculate and obtain the real-time deformation of each section of the optical fiber, and the deformation condition of each section of the tunnel body is obtained according to the optical fiber deformation.
3. The tunnel intelligent monitoring measurement information integration and early warning system of claim 2, wherein:
the overall control system is configured to implement the following method:
comparing the real-time monitoring curve of the tunnel portal and the ground surface with the ground settlement contour line with an engineering safety reference value to judge whether the tunnel portal and the ground surface are safe or not;
and comparing the deformation data of each section of the tunnel body with the engineering reference value to judge whether the tunnel body is safe.
4. The tunnel intelligent monitoring and measuring information integration and early warning system according to any one of claims 1 to 3, wherein: the control center can also be connected with fire fighting devices, drainage devices and ventilation devices inside the tunnel.
5. The tunnel intelligent monitoring and measuring information integration and early warning system according to any one of claims 1 to 3, wherein: the control center can also be remotely connected with a road maintenance department, a fire department and a traffic police department.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010962918.XA CN112254660B (en) | 2020-09-14 | 2020-09-14 | Tunnel intelligent monitoring and measuring information integration and early warning system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010962918.XA CN112254660B (en) | 2020-09-14 | 2020-09-14 | Tunnel intelligent monitoring and measuring information integration and early warning system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112254660A CN112254660A (en) | 2021-01-22 |
CN112254660B true CN112254660B (en) | 2022-04-22 |
Family
ID=74232182
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010962918.XA Active CN112254660B (en) | 2020-09-14 | 2020-09-14 | Tunnel intelligent monitoring and measuring information integration and early warning system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112254660B (en) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113012222A (en) * | 2021-02-26 | 2021-06-22 | 中南大学 | Deformation monitoring system of tunnel portal |
CN113404541A (en) * | 2021-06-29 | 2021-09-17 | 陕西工业职业技术学院 | Tunnel surrounding rock deformation on-line monitoring and early warning system |
CN113701706B (en) * | 2021-08-20 | 2023-08-04 | 南京大学(苏州)高新技术研究院 | A tunnel deformation monitoring optical fiber testing method and system |
CN118794851B (en) * | 2024-09-14 | 2024-12-20 | 枣庄矿业集团新安煤业有限公司 | Environment dust on-line monitoring method based on image denoising |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101055218A (en) * | 2007-05-29 | 2007-10-17 | 重庆交通大学 | Bridge flexibility and displacement monitoring device and monitoring method |
CN101936714A (en) * | 2010-08-16 | 2011-01-05 | 上海地铁盾构设备工程有限公司 | Entire deformation detection system of subway tunnel |
CN209742970U (en) * | 2019-03-19 | 2019-12-06 | 中铁七局集团第三工程有限公司 | Subway tunnel subsides wireless monitoring devices based on zigBee |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN100458371C (en) * | 2003-07-02 | 2009-02-04 | 光纳株式会社 | Structure monitoring system |
CN101629822B (en) * | 2009-08-10 | 2012-11-21 | 张征宇 | Multi-camera movable photography measuring method in vibration environment |
JP5583992B2 (en) * | 2010-03-09 | 2014-09-03 | パナソニック株式会社 | Signal processing device |
CN203518954U (en) * | 2013-08-12 | 2014-04-02 | 中国长江三峡集团公司 | IoT (Internet of things) based real-time monitoring system for total stability of high dam |
CN103940364B (en) * | 2014-05-04 | 2016-06-22 | 赵鸣 | The photogrammetric survey method of subway tunnel relative deformation |
DE112015002452B4 (en) * | 2014-06-27 | 2020-01-30 | Illinois Tool Works Inc. | Optical strain gauge |
JP6553479B2 (en) * | 2015-10-20 | 2019-07-31 | 鹿島建設株式会社 | Monitoring system, monitoring method |
CN205665842U (en) * | 2016-05-19 | 2016-10-26 | 湖北华锐新能电业科技有限公司 | Optical fiber sensing slope monitoring early warning system |
CN106482656B (en) * | 2016-09-28 | 2019-09-20 | 成都通甲优博科技有限责任公司 | A kind of mountainous region landslide visible detection method and device for overcoming monitor supervision platform itself to shake |
CN106289601A (en) * | 2016-11-03 | 2017-01-04 | 南京派光信息技术有限公司 | The Slope Sliding monitoring system measured based on distributed optical fiber stress |
CN107843203B (en) * | 2017-10-13 | 2019-12-27 | 同济大学 | Method for realizing foundation pit engineering three-dimensional monitoring network based on distributed optical fiber sensor |
CN108534701B (en) * | 2018-06-25 | 2024-04-16 | 中国电建集团中南勘测设计研究院有限公司 | Structure and method for monitoring photogrammetry by converging cavern |
CN209691075U (en) * | 2018-12-10 | 2019-11-26 | 西安工程大学 | A kind of distribution landslide disaster monitoring and warning system |
-
2020
- 2020-09-14 CN CN202010962918.XA patent/CN112254660B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101055218A (en) * | 2007-05-29 | 2007-10-17 | 重庆交通大学 | Bridge flexibility and displacement monitoring device and monitoring method |
CN101936714A (en) * | 2010-08-16 | 2011-01-05 | 上海地铁盾构设备工程有限公司 | Entire deformation detection system of subway tunnel |
CN209742970U (en) * | 2019-03-19 | 2019-12-06 | 中铁七局集团第三工程有限公司 | Subway tunnel subsides wireless monitoring devices based on zigBee |
Non-Patent Citations (1)
Title |
---|
基于机器视觉的隧道智能检测技术研究现状及技术分析;山西交通科技;《山西交通科技》;20191231(第06期);66-68 * |
Also Published As
Publication number | Publication date |
---|---|
CN112254660A (en) | 2021-01-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112254660B (en) | Tunnel intelligent monitoring and measuring information integration and early warning system | |
CN112284277B (en) | Tunnel portal slope deformation monitoring system and method based on computer vision | |
US11519724B2 (en) | Method for monitoring ground settlement based on computer vision | |
CN111947605B (en) | Slope safety monitoring system and monitoring method thereof | |
CN114353876A (en) | A method for health monitoring of loess highway slopes | |
CN106224007A (en) | Safety for tunnel engineering monitoring and warning management system | |
CN207963788U (en) | An intelligent monitoring and early warning device for highway slope safety based on depth camera | |
CN110751811A (en) | Geological disaster monitoring and early warning system based on Beidou high-precision satellite positioning | |
CN104897067A (en) | Laser image real time monitoring method measuring relative displacement | |
CN106646509B (en) | A damage assessment method for tower slope protection based on real point cloud data | |
CN109506625A (en) | Landslide dangerous situation monitoring method, system and its image data acquisition device | |
CN114894091B (en) | Line monitoring device and system with binocular vision ranging function | |
KR20200007165A (en) | Pot-hole detection system using vision sensor mounted on unmanned air vehicle, and method for the same | |
CN106638727B (en) | A kind of device for deep basal pit real-time perception and disease inspection | |
CN113074694B (en) | Automatic monitoring device for tunnel section deformation | |
CN116295074A (en) | Device and method for monitoring deformation and failure of surrounding rock in coal mine roadway based on depth image | |
CN112802004A (en) | Portable intelligent video detection device for health of transmission line and tower | |
CN111664930A (en) | Frequency and image-based high slope rockfall integrated monitoring system and method | |
CN106638728A (en) | Method for sensing and checking danger of deep foundation pit in real time | |
CN110230990B (en) | Gas pipe network geological deformation monitoring system and method | |
CN113156456A (en) | Pavement and tunnel integrated detection method and detection equipment and vehicle | |
CN117074869B (en) | Distribution line fault positioning method and system | |
CN113935096B (en) | Method and system for monitoring deformation of foundation pit in real time | |
CN117948889A (en) | Rail displacement real-time monitoring system | |
CN117910294A (en) | Automatic monitoring and analyzing method for karst landform high slope protection construction |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |