CN113605981A - Tunnel convergence deformation on-line monitoring system and method - Google Patents
Tunnel convergence deformation on-line monitoring system and method Download PDFInfo
- Publication number
- CN113605981A CN113605981A CN202110875267.5A CN202110875267A CN113605981A CN 113605981 A CN113605981 A CN 113605981A CN 202110875267 A CN202110875267 A CN 202110875267A CN 113605981 A CN113605981 A CN 113605981A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- data
- spraying
- tunnel
- special
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 198
- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000004458 analytical method Methods 0.000 claims abstract description 109
- 238000010276 construction Methods 0.000 claims abstract description 25
- 230000002159 abnormal effect Effects 0.000 claims abstract description 17
- 238000009434 installation Methods 0.000 claims abstract description 7
- 238000005507 spraying Methods 0.000 claims description 125
- 239000011345 viscous material Substances 0.000 claims description 20
- 238000001035 drying Methods 0.000 claims description 18
- 239000007921 spray Substances 0.000 claims description 14
- 239000002689 soil Substances 0.000 claims description 7
- 230000007613 environmental effect Effects 0.000 claims description 4
- 239000002390 adhesive tape Substances 0.000 claims description 3
- 238000012806 monitoring device Methods 0.000 abstract 1
- 239000011435 rock Substances 0.000 description 16
- 239000004575 stone Substances 0.000 description 11
- 239000000463 material Substances 0.000 description 8
- 208000027418 Wounds and injury Diseases 0.000 description 5
- 230000006378 damage Effects 0.000 description 5
- 208000014674 injury Diseases 0.000 description 5
- 238000005336 cracking Methods 0.000 description 3
- 230000002035 prolonged effect Effects 0.000 description 3
- 239000000853 adhesive Substances 0.000 description 2
- 230000001070 adhesive effect Effects 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 230000003111 delayed effect Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 201000004569 Blindness Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000034994 death Effects 0.000 description 1
- 231100000517 death Toxicity 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000003292 glue Substances 0.000 description 1
- 239000003595 mist Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05B—SPRAYING APPARATUS; ATOMISING APPARATUS; NOZZLES
- B05B12/00—Arrangements for controlling delivery; Arrangements for controlling the spray area
- B05B12/08—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means
- B05B12/085—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means responsive to flow or pressure of liquid or other fluent material to be discharged
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05B—SPRAYING APPARATUS; ATOMISING APPARATUS; NOZZLES
- B05B12/00—Arrangements for controlling delivery; Arrangements for controlling the spray area
- B05B12/08—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means
- B05B12/12—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means responsive to conditions of ambient medium or target, e.g. humidity, temperature position or movement of the target relative to the spray apparatus
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05B—SPRAYING APPARATUS; ATOMISING APPARATUS; NOZZLES
- B05B12/00—Arrangements for controlling delivery; Arrangements for controlling the spray area
- B05B12/16—Arrangements for controlling delivery; Arrangements for controlling the spray area for controlling the spray area
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F11/00—Rescue devices or other safety devices, e.g. safety chambers or escape ways
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
Landscapes
- Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Geochemistry & Mineralogy (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Emergency Management (AREA)
- Pulmonology (AREA)
- Lining And Supports For Tunnels (AREA)
- Alarm Systems (AREA)
Abstract
The invention belongs to the technical field of tunnel monitoring, and particularly relates to a tunnel convergence deformation online monitoring system and method, wherein the method comprises the following steps: a data acquisition step, which is to acquire the construction data and the geographic data of the tunnel; point location analysis, namely analyzing the construction data to obtain scanning point locations, and analyzing the construction data and the geographic data to obtain special monitoring point locations; a monitoring installation step, namely installing a scanning device at a scanning point position and installing a monitoring sensor at a special monitoring point position; a strain analysis step, namely performing overall convergence analysis according to scanning data of the scanning device, and performing special convergence analysis of special point positions according to feedback data of the monitoring sensor; and extracting a convergence analysis result of the special monitoring point position in the overall convergence analysis, comparing the convergence analysis result with the corresponding special convergence analysis, and sending an abnormal prompt if the comparison result exceeds a preset value. The monitoring method and the monitoring device can improve monitoring convenience on the basis of control cost.
Description
Technical Field
The invention belongs to the technical field of tunnel monitoring, and particularly relates to a tunnel convergence deformation online monitoring system and method.
Background
The tunnel convergence deformation refers to tunnel deformation caused by influences of ground, peripheral building loads and soil disturbance, tunnel peripheral engineering construction, tunnel engineering structure construction, train operation vibration and the like in the operation process of a tunnel. By monitoring the tunnel convergence, the safety of tunnel construction and operation can be improved, and the occurrence of disaster accidents is reduced.
At present, the main methods for monitoring the convergence deformation of the tunnel include a contact monitoring method and a non-contact monitoring method. The contact monitoring method is mainly characterized in that the inclination sensors are arranged around the tunnel according to a certain arrangement mode, so that deformation data of position data of the tunnel can be directly obtained. The monitoring data of the contact type monitoring is accurate, but a large amount of manpower and material resources are consumed in the installation stage of the sensor, the construction period is long, and the cost of the method is too high when the tunnel is large in size. The non-contact monitoring method is to analyze scanning data after the scanning data in the tunnel is acquired by scanning equipment such as a total station and the like, and further to judge the condition of tunnel convergence deformation. However, the non-contact method is relatively difficult to operate because the scanning device is greatly influenced by the environment (such as water mist), and the reliability is relatively low, and when the non-contact method is required to maintain high reliability, the scanning environment needs to be detected and confirmed by workers before each scanning.
Disclosure of Invention
The invention aims to provide an online monitoring method for tunnel convergence deformation, which can improve the monitoring convenience on the basis of controlling the cost.
The basic scheme provided by the invention is as follows:
an online monitoring method for tunnel convergence deformation comprises the following steps:
a data acquisition step, which is to acquire the construction data and the geographic data of the tunnel;
a point location analysis step, wherein the construction data is analyzed to obtain scanning point locations, and the construction data and the geographic data are analyzed to obtain special monitoring point locations;
a monitoring installation step, namely installing a scanning device at a scanning point position and installing a monitoring sensor at a special monitoring point position;
a strain analysis step, namely performing overall convergence analysis according to scanning data of the scanning device, and performing special convergence analysis of special point positions according to feedback data of the monitoring sensor; and extracting a convergence analysis result of the special monitoring point position in the overall convergence analysis, comparing the convergence analysis result with the corresponding special convergence analysis, and sending an abnormal prompt if the comparison result exceeds a preset value.
Basic scheme theory of operation and beneficial effect:
by using the method, the construction data of the tunnel (such as the size data of the section of the tunnel) and the geographic data of the tunnel (such as the mountain body soil layer of each section of the tunnel) are collected. Then, according to the construction data analysis of the tunnel, obtaining a scanning point location, namely a point location where a scanning device is installed, and through the position, the scanning device can completely scan the tunnel; and analyzing special monitoring point positions according to the construction data and the geographic data, namely positions where convergence deformation easily occurs.
Installing a scanning device at a scanning point position, installing a monitoring sensor at a special monitoring point position, and then carrying out convergence analysis, firstly carrying out overall convergence analysis according to scanning data of the scanning device, namely carrying out convergence analysis on each part of the tunnel; and then carrying out special convergence analysis on the special point locations according to the feedback data of the monitoring sensors, namely carrying out convergence analysis on the special monitoring point locations. Then, the convergence analysis result of the special monitoring point location in the overall convergence analysis is extracted and compared with the corresponding special convergence analysis, in other words, two convergence analysis results of the same position (the special monitoring point location) are compared, if the compared result exceeds a preset value, the monitoring results of the two monitoring modes are very different, and because the monitoring data of the monitoring sensor is stable and the scanning device is greatly influenced by the environment, under a general condition, the environment of the special point location area can be considered to cause interference on the scanning device and need to be processed. Therefore, the abnormal prompt is sent, and the management personnel can process the environment of the area and then carry out integral scanning and analysis again to ensure the integral monitoring accuracy. Because the environmental anomaly does not always exist, the monitoring environment is relatively stable in most of the time, and by means of the mode, workers do not need to explore and confirm the scanning environment before scanning at every time, and monitoring convenience can be effectively improved.
Meanwhile, in the whole process, data of the special monitoring point positions are directly acquired by using the monitoring sensors, so that the monitoring effectiveness of the special monitoring point positions can be still maintained even under the condition that the environment in the tunnel is abnormal. Compared with a conventional region, the probability of convergence and deformation of the special monitoring point location is much higher, and the monitoring effectiveness of the special monitoring point location with higher monitoring priority can be always kept through the mode. Compared with a monitoring sensor laid in a full tunnel, a large amount of cost can be saved.
In conclusion, the method can improve monitoring convenience on the basis of controlling cost, and can continuously maintain the reliability of the monitoring result of the special monitoring point.
Further, in the strain analysis step, when the comparison result exceeds a preset value, the position corresponding to the special monitoring point position is extracted as an environment abnormal position; the content of the exception alert includes an environmental exception location.
The staff can be according to the regional of the unusual position of environment quick locking needs environment processing, and it is more convenient to get up unusual environment processing.
Further, the construction data comprises the length, the curvature and the size of the section of the tunnel; the geographic data comprises the tunnel position, the mountain position, the geographic position and the soil property.
Through the data, the characteristics of the tunnel can be comprehensively analyzed, and the comprehensiveness and effectiveness of the scanning point location and the special monitoring point location are guaranteed.
Further, in the monitoring and mounting step, a stress-strain sensor, a local controller, an emergency spraying device and a camera device are mounted at a special monitoring point; the emergency spraying device comprises a rotating part, a loading cavity and a spraying opening, wherein a quick-dry strong viscous material is loaded in the loading cavity, and the local controller is electrically connected with the stress strain sensor, the emergency spraying device and the camera device respectively;
the method comprises a step of collapse analysis and processing, wherein monitoring data of the stress-strain sensor are analyzed through a local controller, if feedback data of the stress-strain sensor exceed a preset value, a camera device is controlled to work, camera data are uploaded in real time, an emergency spraying scheme is generated by analyzing a spraying range and a spraying amount according to the monitoring data of the stress-strain sensor exceeding the preset value, and the emergency spraying device is controlled to spray the quick-drying strong viscous material according to the emergency spraying scheme.
Has the advantages that:
the stress-strain sensor can monitor the stress-strain data of the special monitoring point positions in real time, the local controller analyzes the data, and when the feedback data of the stress-strain sensor exceeds a preset value, the risk of collapse/rock falling is indicated. Therefore, the local controller controls the camera device to work and uploads the camera data in real time. Although only risks exist, once the collapse occurs, rescue is involved subsequently, and the search efficiency during rescue is directly related to the injury degree and even the life safety of trapped people. The camera device of special monitoring point location is controlled to upload camera data, so that the moving direction of people in the collapse area in the collapse process can be known, the search and rescue range can be greatly reduced during subsequent search and rescue, the accuracy of subsequent search and rescue is convenient to improve, and for search and rescue, one minute of search and rescue is successful, so that an unfortunate person or a serious injury person can be reduced. If an image pickup device in another area is used, the image pickup screen may not be complete. If the delayed uploading is used, the camera device is likely to be damaged during collapse, so that the image data in the collapse process is lost.
Besides, the local controller can analyze the spraying range and the spraying amount to generate an emergency spraying scheme according to the monitoring data of the stress-strain sensor exceeding the preset value, and controls the emergency spraying device to spray the quick-drying strong viscous material according to the emergency spraying scheme. Because the collapse/falling rocks of the tunnel usually start from internal cracking, the collapse/falling rocks can not fall until the cracking is finished, when the emergency spraying device is found to be abnormal, quick-dry strong viscous materials are sprayed to the corresponding area in the tunnel, which is equivalent to the tension is added to the cracking area, and the collapse/falling rocks can be slowed down through the tension. Although the time for this process may be short, it is more desirable for the personnel in danger to escape even after a second delay.
When collapse occurs, most of the time is that the rock does not fall vertically, and most of the time is that the key analysis material needs to be searched for in a large amount of time, and the search result is not guaranteed. In the method, as the quick-drying strong viscous material is sprayed in the area where the crack occurs, after an accident occurs, a worker can quickly lock the concrete stone of the accident according to the quick-drying strong viscous material, so that the accident reduction analysis can be conveniently carried out on the concrete stone, and a reference is provided for risk protection of similar road sections.
In conclusion, by using the method, the escape time of the personnel involved in the danger can be prolonged under the emergency condition of collapse/falling rocks, the search and rescue range can be reduced, and the search and rescue efficiency and success rate can be improved. And key stones can be found conveniently and quickly for accident reduction analysis.
Furthermore, in the monitoring and installing step, an alarm device is also installed in the range of the prediction distance between the front and the rear of the special monitoring point; in the collapse analysis processing step, after the spraying range and the spraying amount are analyzed to generate an emergency spraying scheme, the local controller also controls the alarm device to give an alarm.
The alarm device gives an alarm, so that people in the corresponding area can be evacuated and evacuated as soon as possible, and casualty conditions are reduced as far as possible.
Furthermore, in the monitoring and mounting step, the mounted alarm devices comprise warning lamps and loudspeakers, and the warning lamps are uniformly arranged along the length direction of the tunnel; in the collapse analysis processing step, when the local controller controls the alarm device to give an alarm, the local controller controls the warning lamp of the corresponding area to light up and controls the loudspeaker to play a preset voice alarm.
Therefore, when the collapse/rock fall risk is analyzed, the local control unit can control the warning lamp of the corresponding area to be turned on, and the loudspeaker to play a preset voice alarm, if the warning lamp road section is dangerous, people in the tunnel need to know the danger and the dangerous area, the evacuation efficiency is higher, and the situation that people move into the dangerous area due to panic and blindness can be avoided.
Further, in the collapse analysis processing step, when the local controller analyzes the spraying range and the spraying amount, if the spraying range in the analysis result is smaller than a preset minimum area, taking the minimum area with the analyzed spraying range as a central area as an actual spraying area to generate an emergency spraying scheme; and if the spraying amount in the analysis result is less than the preset minimum spraying amount, taking the minimum spraying amount as the actual spraying amount to generate a spraying scheme.
In order to ensure the normal use of the tunnel, the capacity of the emergency spray device is relatively limited, and therefore a spray scheme is generated according to the analysis result. However, in order to ensure a certain delay function, the spraying amount and area still need a minimum guarantee, so that the situation that the actual delay function cannot be realized due to too small spraying amount or too small spraying area can be prevented.
Further, the quick-drying strong adhesive tape is colored; the image pick-up device comprises a plurality of image pick-up devices, wherein one image pick-up device is a collapse path image pick-up device; and in the collapse analysis processing step, when the local controller controls the camera device to work and uploads the camera data in real time, the collapse path camera device is controlled to shoot the spraying area.
The quick-drying strong adhesive material has colors, so that workers can find key stones quickly. And shoot the spraying region through path camera device that collapses, then can upload the concrete route that collapses of the stone when collapsing in real time, the staff of being convenient for more accurate carry out subsequent accident reason analysis, provide more valuable reference for the risk protection of similar highway section.
Another objective of the present invention is to provide an online monitoring system for tunnel convergence deformation, which is applied to the online monitoring method for tunnel convergence deformation, and includes an acquisition end and a background end; the acquisition end comprises a scanning unit and a sensor monitoring unit; the scanning unit is arranged at the scanning point position and is used for scanning the tunnel and sending scanning data to the background end; the sensor monitoring unit is arranged at a special monitoring point position and used for sending monitoring data to the background end;
the background end comprises a storage unit, an analysis unit and a comparison unit; the storage unit stores the position information of each special monitoring point location; the analysis unit is used for carrying out overall convergence analysis according to the feedback data of the scanning unit and also used for carrying out special convergence analysis of special monitoring point positions according to the monitoring data of the sensor monitoring unit; the comparison unit is used for extracting the convergence analysis result of the special monitoring point positions in the overall convergence analysis according to the position information of each special monitoring point position, comparing the convergence analysis result with the corresponding special convergence analysis, and generating an abnormal signal if the comparison result exceeds a preset value.
The system can improve the monitoring convenience on the basis of controlling the cost, and can continuously maintain the reliability of the monitoring result of the special monitoring point position.
The emergency treatment system further comprises a stress-strain sensor and an emergency treatment end, wherein the stress-strain sensor and the emergency treatment end are installed at a special monitoring point, and the emergency treatment end comprises a local controller, an emergency spraying device, a camera device and an alarm device; the warning device comprises warning lamps and loudspeakers, and the warning lamps are uniformly arranged along the length direction of the tunnel;
the emergency spraying device comprises a rotating part, a loading cavity and a spraying opening, wherein a quick-dry strong viscous material is loaded in the loading cavity, and the local controller is electrically connected with the stress strain sensor, the emergency spraying device and the camera device respectively; the local controller is also communicated with the background end; the stress-strain sensor is used for monitoring stress-strain data of the special monitoring point positions and sending the stress-strain data to the local controller; the local controller is used for analyzing the monitoring data of the stress-strain sensor, and if the monitoring data exceeds a preset value, the local controller controls the camera device to work and uploads the camera data in real time; the local controller is also used for analyzing the spraying range and the spraying amount to generate an emergency spraying scheme according to the monitoring data of the stress-strain sensor exceeding the preset value, and controlling the emergency spraying device to spray the quick-drying strong viscous material according to the emergency spraying scheme; the local controller also controls the warning lamp of the corresponding area to be turned on and controls the loudspeaker to play a preset voice alarm.
The escape time of the personnel involved in the danger can be prolonged under the emergency condition of collapse/falling rocks, the search and rescue range can be reduced, and the search and rescue efficiency and success rate can be improved. And key stones can be found conveniently and quickly for accident reduction analysis. And the alarm device gives an alarm, so that people in the corresponding area can be evacuated and evacuated as soon as possible, and casualty conditions are reduced as far as possible.
Drawings
Fig. 1 is a flowchart of a tunnel convergence deformation on-line monitoring method according to an embodiment of the present invention;
fig. 2 is a logic block diagram of an online tunnel convergence deformation monitoring system according to an embodiment of the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example one
As shown in fig. 1, an online monitoring method for tunnel convergence deformation includes:
a data acquisition step, which is to acquire the construction data and the geographic data of the tunnel; the building data comprises the length, the curvature and the size of a cross section of the tunnel; the geographic data comprises the tunnel position, the mountain position, the geographic position and the soil property. Through the data, the characteristics of the tunnel can be comprehensively analyzed, and the comprehensiveness and effectiveness of the subsequently obtained scanning point location and the special monitoring point location are ensured.
And point location analysis, namely analyzing the construction data to obtain scanning point locations, and analyzing the construction data and the geographic data to obtain special monitoring point locations. The tunnel scanning method has the advantages that one or more scanning points are possible, the specific number and the specific positions need to be determined according to the building data of the tunnel, the tunnel scanning is carried out at the scanning points, and the tunnel can be completely scanned by using fewer scanning devices.
And a monitoring and mounting step, namely mounting a scanning device at a scanning point position, and mounting a monitoring sensor at a special monitoring point position. In this embodiment, the scanning unit is a total station, and the sensor monitoring unit is an inclination sensor. The specific installation mode of the total station and the tilt angle sensor can be directly the existing installation mode in the field, and the detailed description is omitted here.
A strain analysis step, namely performing overall convergence analysis according to scanning data of the scanning device, and performing special convergence analysis of special point positions according to feedback data of the monitoring sensor; and extracting a convergence analysis result of the special monitoring point location in the overall convergence analysis, comparing the convergence analysis result with the corresponding special convergence analysis, if the comparison result exceeds a preset value, extracting the position corresponding to the special monitoring point location as an environment abnormal position, and sending an abnormal prompt, wherein the content of the abnormal prompt comprises the environment abnormal position.
As shown in fig. 2, the present application further provides an online monitoring system for tunnel convergence deformation, which is applied to the above method and includes an acquisition end and a background end.
The acquisition end comprises a scanning unit and a sensor monitoring unit; the scanning unit is arranged at the scanning point position and used for scanning the tunnel and sending scanning data to the background end. The sensor monitoring unit is arranged at a special monitoring point position and used for sending monitoring data to the background end.
In this embodiment, the backend is a cloud server. The background end comprises a storage unit, an analysis unit and a comparison unit; the storage unit stores the position information of each special monitoring point location; the analysis unit is used for carrying out overall convergence analysis according to the feedback data of the scanning unit and also used for carrying out special convergence analysis of special monitoring point positions according to the monitoring data of the sensor monitoring unit; the comparison unit is used for extracting the convergence analysis result of the special monitoring point positions in the overall convergence analysis according to the position information of each special monitoring point position, comparing the convergence analysis result with the corresponding special convergence analysis, and generating an abnormal signal if the comparison result exceeds a preset value. The specific algorithm of the overall convergence analysis may be implemented by using the existing scan convergence analysis algorithm, which is not the point of the invention not applied for, and is not described herein again.
The specific implementation process is as follows:
firstly, the construction data of the tunnel and the geographic data of the tunnel are collected. Then, according to the construction data analysis of the tunnel, obtaining a scanning point location, namely a point location where a scanning device is installed, and through the position, the scanning device can completely scan the tunnel; and analyzing special monitoring point positions according to the construction data and the geographic data, namely positions where convergence deformation easily occurs.
Installing a scanning device at a scanning point position, installing a monitoring sensor at a special monitoring point position, and then carrying out convergence analysis, firstly carrying out overall convergence analysis according to scanning data of the scanning device, namely carrying out convergence analysis on each part of the tunnel; and then carrying out special convergence analysis on the special point locations according to the feedback data of the monitoring sensors, namely carrying out convergence analysis on the special monitoring point locations. Then, the convergence analysis result of the special monitoring point location in the overall convergence analysis is extracted and compared with the corresponding special convergence analysis, in other words, two convergence analysis results of the same special monitoring point location are compared, if the compared result exceeds a preset value, it is indicated that the monitoring results of the two monitoring modes are very different, and because the monitoring data of the monitoring sensor is relatively stable and the scanning device is greatly influenced by the environment, under a general condition, the environment of the special point location area can be considered to cause interference on the scanning device and need to be processed. Therefore, the abnormal prompt is sent, and the management personnel can process the environment of the area and then carry out integral scanning and analysis again to ensure the integral monitoring accuracy. Because the environmental anomaly does not always exist, the monitoring environment is relatively stable in most of the time, and by means of the mode, workers do not need to explore and confirm the scanning environment before scanning at every time, and monitoring convenience can be effectively improved.
Meanwhile, in the whole process, data of the special monitoring point positions are directly acquired by using the monitoring sensors, so that the monitoring effectiveness of the special monitoring point positions can be still maintained even under the condition that the environment in the tunnel is abnormal. Compared with a conventional region, the probability of convergence and deformation of the special monitoring point location is much higher, and the monitoring effectiveness of the special monitoring point location with higher monitoring priority can be always kept through the mode. Compared with a monitoring sensor laid in a full tunnel, a large amount of cost can be saved.
In conclusion, the monitoring convenience can be improved on the basis of controlling the cost, and the reliability of the monitoring result of the special monitoring point position can be continuously maintained.
Example two
Different from the first embodiment, in the monitoring and installing step of the tunnel convergence deformation online monitoring method in the present embodiment, a stress-strain sensor, a local controller, an emergency spraying device, and a camera device are further installed at a special monitoring point. In this embodiment, the camera device is an infrared camera. Emergent spraying device includes rotation portion, loading chamber and spraying mouth, and the loading intracavity loads the powerful stickness material of rapid-curing cutback, and in this embodiment, the powerful stickness material of rapid-curing cutback is the rapid-curing cutback powerful glue. The local controller is respectively and electrically connected with the stress-strain sensor, the emergency spraying device and the camera device. And an alarm device is arranged in the range of the prediction distance before and after the special monitoring point, the alarm device comprises a warning lamp and a loudspeaker, and the warning lamp is uniformly arranged along the length direction of the tunnel. In this embodiment, the warning light is a red LED light. The red LED lamp can be distinguished from the illuminating lamp in the tunnel, so that personnel in the tunnel can know the specific position of a dangerous area conveniently.
The method comprises a step of collapse analysis and processing, wherein monitoring data of the stress-strain sensor are analyzed through a local controller, if feedback data of the stress-strain sensor exceed a preset value, a camera device is controlled to work, camera data are uploaded in real time, an emergency spraying scheme is generated by analyzing a spraying range and a spraying amount according to the monitoring data of the stress-strain sensor exceeding the preset value, and the emergency spraying device is controlled to spray the quick-drying strong viscous material according to the emergency spraying scheme. Specifically, after the rotating part is controlled to rotate to enable the spraying opening to face the spraying range in the spraying scheme, the spraying opening is controlled to spray the quick-drying strong viscous material to the spraying area. Meanwhile, the local controller also controls the warning lamp of the corresponding area to be turned on and controls the loudspeaker to play a preset voice alarm.
When the local controller analyzes the spraying range and the spraying amount, if the spraying range in the analysis result is smaller than a preset minimum area, taking the minimum area with the analyzed spraying range as a central area as an actual spraying area to generate an emergency spraying scheme; and if the spraying amount in the analysis result is less than the preset minimum spraying amount, taking the minimum spraying amount as the actual spraying amount to generate a spraying scheme. In order to ensure the normal use of the tunnel, the capacity of the emergency spray device is relatively limited, and therefore a spray scheme is generated according to the analysis result. However, in order to ensure a certain delay function, the spraying amount and area still need a minimum guarantee, so that the situation that the actual delay function cannot be realized due to too small spraying amount or too small spraying area can be prevented.
The tunnel convergence deformation on-line monitoring system further comprises a stress-strain sensor and an emergency processing end, wherein the stress-strain sensor and the emergency processing end are installed at a special monitoring point, and the emergency processing end comprises a local controller, an emergency spraying device, a camera device and an alarm device; the warning device comprises warning lamps and loudspeakers, and the warning lamps are uniformly arranged along the length direction of the tunnel.
The emergency spraying device comprises a rotating part, a loading cavity and a spraying opening, wherein a quick-dry strong viscous material is loaded in the loading cavity, and the local controller is electrically connected with the stress strain sensor, the emergency spraying device and the camera device respectively; the local controller is also communicated with the background end; the stress-strain sensor is used for monitoring stress-strain data of the special monitoring point positions and sending the stress-strain data to the local controller; the local controller is used for analyzing the monitoring data of the stress-strain sensor, and if the monitoring data exceeds a preset value, the local controller controls the camera device to work and uploads the camera data in real time; the local controller is also used for analyzing the spraying range and the spraying amount to generate an emergency spraying scheme according to the monitoring data of the stress-strain sensor exceeding the preset value, and controlling the emergency spraying device to spray the quick-drying strong viscous material according to the emergency spraying scheme; the local controller also controls the warning lamp of the corresponding area to be turned on and controls the loudspeaker to play a preset voice alarm.
The specific implementation process is as follows:
although the tunnel is usually reinforced during construction, tunnel collapse/rock fall events occur sometimes due to the influence of factors such as soil texture and geographical position, and once the events occur, injuries and deaths are often caused. However, the collapse/falling of the tunnel does not occur instantaneously and there is usually a process which usually starts with an internal crack and falls or collapses when the crack is complete. These areas that may crack are usually determined by the soil quality and location, and are usually the very specific monitoring points in this solution.
Based on the scheme, a stress-strain sensor, a local controller, an emergency spraying device and a camera device are further arranged at the special monitoring installation point; emergent spraying device includes rotation portion, loads chamber and spraying mouth, loads the powerful stickness material of rapid-curing cutback in the loading chamber, and local controller is connected with stress strain transducer, emergent spraying device and camera device electricity respectively.
Therefore, the stress-strain sensor can monitor the stress-strain data of the special monitoring point positions in real time, the local controller analyzes the data, and when the feedback data of the stress-strain sensor exceeds a preset value, the risk of collapse/falling rocks is indicated. Therefore, the local controller controls the camera device to work and uploads the camera data in real time. Although only risks exist, once the collapse occurs, rescue is involved subsequently, and the search efficiency during rescue is directly related to the injury degree and even the life safety of trapped people. The camera device of special monitoring point location is controlled to upload camera data, so that the moving direction of people in the collapse area in the collapse process can be known, the search and rescue range can be greatly reduced during subsequent search and rescue, the accuracy of subsequent search and rescue is convenient to improve, and for search and rescue, one minute of search and rescue is successful, so that an unfortunate person or a serious injury person can be reduced. If the image pickup devices of other areas are used, there may be a case where the photographing is not complete. If the delayed uploading is used, the camera device is likely to be damaged during collapse, so that the image data in the collapse process is lost. In this embodiment, the camera device is a panoramic camera.
Besides, the local controller can analyze the spraying range and the spraying amount to generate an emergency spraying scheme according to the monitoring data of the stress-strain sensor exceeding the preset value, and controls the emergency spraying device to spray the quick-drying strong viscous material according to the emergency spraying scheme. Because the collapse/falling rocks of tunnel usually begin from inside fracture, just can fall rocks or collapse after the fracture is accomplished, through emergent spray set when finding unusual, give the tunnel in correspond regional spraying fast dry powerful viscous material, be equivalent to for the regional increase tension of fracture, through this tension, can slow down the process of collapse/falling rocks. Although the time for this process may be short, it is more desirable for the personnel in danger to escape even after a second delay.
Meanwhile, when the collapse/rock fall risk is analyzed, the local control unit can control the warning lamp of the corresponding area to be turned on, and the loudspeaker is enabled to play a preset voice alarm, if the warning lamp road section is dangerous, people in the tunnel need to evacuate quickly, people in the tunnel know the danger and the dangerous area, the evacuation efficiency is higher, and the situation that people move into the dangerous area instead of panic and blind movement can be avoided.
When collapse occurs, most of the time is that the rock does not fall vertically, and most of the time is that the key analysis material needs to be searched for in a large amount of time, and the search result is not guaranteed. In the method, as the quick-drying strong viscous material is sprayed in the area where the crack occurs, after an accident occurs, a worker can quickly lock the concrete stone of the accident according to the quick-drying strong viscous material, so that the accident reduction analysis can be conveniently carried out on the concrete stone, and a reference is provided for risk protection of similar road sections.
In conclusion, the escape time of the personnel involved in the danger can be prolonged under the emergency condition of collapse/falling rocks, the search and rescue range can be reduced, and the search and rescue efficiency and success rate are improved. And key stones can be found conveniently and quickly for accident reduction analysis.
EXAMPLE III
Different from the second embodiment, the quick-drying strong adhesive tape in the second embodiment has color; the image pick-up device is provided with a plurality of image pick-up devices, wherein one image pick-up device is a collapse path image pick-up device; and in the collapse analysis processing step, when the local controller controls the camera device to work and uploads the camera data in real time, the collapse path camera device is controlled to shoot the spraying area.
The quick-drying strong adhesive material has colors, so that workers can find key stones quickly. And shoot the spraying region through path camera device that collapses, then can upload the concrete route that collapses of the stone when collapsing in real time, the staff of being convenient for more accurate carry out subsequent accident reason analysis, provide more valuable reference for the risk protection of similar highway section.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. A tunnel convergence deformation on-line monitoring method is characterized by comprising the following steps:
a data acquisition step, which is to acquire the construction data and the geographic data of the tunnel;
a point location analysis step, wherein the construction data is analyzed to obtain scanning point locations, and the construction data and the geographic data are analyzed to obtain special monitoring point locations;
a monitoring installation step, namely installing a scanning device at a scanning point position and installing a monitoring sensor at a special monitoring point position;
a strain analysis step, namely performing overall convergence analysis according to scanning data of the scanning device, and performing special convergence analysis of special point positions according to feedback data of the monitoring sensor; and extracting a convergence analysis result of the special monitoring point position in the overall convergence analysis, comparing the convergence analysis result with the corresponding special convergence analysis, and sending an abnormal prompt if the comparison result exceeds a preset value.
2. The on-line monitoring method for tunnel convergence deformation according to claim 1, characterized in that: in the strain analysis step, when the comparison result exceeds a preset value, the position corresponding to the special monitoring point position is extracted as an environment abnormal position; the content of the exception alert includes an environmental exception location.
3. The on-line monitoring method for tunnel convergence deformation according to claim 1, characterized in that: the construction data comprises the length, the curvature and the size of the section of the tunnel; the geographic data comprises the tunnel position, the mountain position, the geographic position and the soil property.
4. The on-line monitoring method for tunnel convergence deformation according to claim 1, characterized in that: in the monitoring and mounting step, a stress-strain sensor, a local controller, an emergency spraying device and a camera device are further mounted at the special monitoring point; the emergency spraying device comprises a rotating part, a loading cavity and a spraying opening, wherein a quick-dry strong viscous material is loaded in the loading cavity, and the local controller is electrically connected with the stress strain sensor, the emergency spraying device and the camera device respectively;
the method comprises a step of collapse analysis and processing, wherein monitoring data of the stress-strain sensor are analyzed through a local controller, if feedback data of the stress-strain sensor exceed a preset value, a camera device is controlled to work, camera data are uploaded in real time, an emergency spraying scheme is generated by analyzing a spraying range and a spraying amount according to the monitoring data of the stress-strain sensor exceeding the preset value, and the emergency spraying device is controlled to spray the quick-drying strong viscous material according to the emergency spraying scheme.
5. The on-line monitoring method for tunnel convergence deformation according to claim 4, characterized in that: in the monitoring and mounting step, an alarm device is further mounted in the range of the prediction distance between the front and the rear of the special monitoring point; in the collapse analysis processing step, after the spraying range and the spraying amount are analyzed to generate an emergency spraying scheme, the local controller also controls the alarm device to give an alarm.
6. The on-line monitoring method for tunnel convergence deformation according to claim 5, characterized in that: in the monitoring and mounting step, the mounted alarm devices comprise warning lamps and loudspeakers, and the warning lamps are uniformly arranged along the length direction of the tunnel; in the collapse analysis processing step, when the local controller controls the alarm device to give an alarm, the local controller controls the warning lamp of the corresponding area to light up and controls the loudspeaker to play a preset voice alarm.
7. The on-line monitoring method for tunnel convergence deformation according to claim 4, characterized in that: in the collapse analysis processing step, when the local controller analyzes the spraying range and the spraying amount, if the spraying range in the analysis result is smaller than a preset minimum area, taking the minimum area with the analyzed spraying range as a central area as an actual spraying area to generate an emergency spraying scheme; and if the spraying amount in the analysis result is less than the preset minimum spraying amount, taking the minimum spraying amount as the actual spraying amount to generate a spraying scheme.
8. The on-line monitoring method for tunnel convergence deformation according to claim 4, characterized in that: the quick-drying strong adhesive tape is colored; the image pick-up device comprises a plurality of image pick-up devices, wherein one image pick-up device is a collapse path image pick-up device; and in the collapse analysis processing step, when the local controller controls the camera device to work and uploads the camera data in real time, the collapse path camera device is controlled to shoot the spraying area.
9. The utility model provides a tunnel convergence deformation on-line monitoring system which characterized in that: the tunnel convergence deformation on-line monitoring method applied to any one of claims 1 to 8, comprising a collecting end and a background end; the acquisition end comprises a scanning unit and a sensor monitoring unit; the scanning unit is arranged at the scanning point position and is used for scanning the tunnel and sending scanning data to the background end; the sensor monitoring unit is arranged at a special monitoring point position and used for sending monitoring data to the background end;
the background end comprises a storage unit, an analysis unit and a comparison unit; the storage unit stores the position information of each special monitoring point location; the analysis unit is used for carrying out overall convergence analysis according to the feedback data of the scanning unit and also used for carrying out special convergence analysis of special monitoring point positions according to the monitoring data of the sensor monitoring unit; the comparison unit is used for extracting the convergence analysis result of the special monitoring point positions in the overall convergence analysis according to the position information of each special monitoring point position, comparing the convergence analysis result with the corresponding special convergence analysis, and generating an abnormal signal if the comparison result exceeds a preset value.
10. The system for on-line monitoring the convergence deformation of the tunnel according to claim 9, wherein: the emergency treatment system also comprises a stress-strain sensor and an emergency treatment end which are arranged at the special monitoring point, wherein the emergency treatment end comprises a local controller, an emergency spraying device, a camera device and an alarm device; the warning device comprises warning lamps and loudspeakers, and the warning lamps are uniformly arranged along the length direction of the tunnel;
the emergency spraying device comprises a rotating part, a loading cavity and a spraying opening, wherein a quick-dry strong viscous material is loaded in the loading cavity, and the local controller is electrically connected with the stress strain sensor, the emergency spraying device and the camera device respectively; the local controller is also communicated with the background end; the stress-strain sensor is used for monitoring stress-strain data of the special monitoring point positions and sending the stress-strain data to the local controller; the local controller is used for analyzing the monitoring data of the stress-strain sensor, and if the monitoring data exceeds a preset value, the local controller controls the camera device to work and uploads the camera data in real time; the local controller is also used for analyzing the spraying range and the spraying amount to generate an emergency spraying scheme according to the monitoring data of the stress-strain sensor exceeding the preset value, and controlling the emergency spraying device to spray the quick-drying strong viscous material according to the emergency spraying scheme; the local controller also controls the warning lamp of the corresponding area to be turned on and controls the loudspeaker to play a preset voice alarm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110875267.5A CN113605981B (en) | 2021-07-30 | 2021-07-30 | Tunnel convergence deformation on-line monitoring system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110875267.5A CN113605981B (en) | 2021-07-30 | 2021-07-30 | Tunnel convergence deformation on-line monitoring system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113605981A true CN113605981A (en) | 2021-11-05 |
| CN113605981B CN113605981B (en) | 2023-12-29 |
Family
ID=78338888
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110875267.5A Active CN113605981B (en) | 2021-07-30 | 2021-07-30 | Tunnel convergence deformation on-line monitoring system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113605981B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105953740A (en) * | 2016-07-04 | 2016-09-21 | 河北稳控科技有限公司 | Tunnel deformation monitoring device |
| CN105957311A (en) * | 2016-06-01 | 2016-09-21 | 中国水利水电科学研究院 | Adaptive expansion slope stability intelligent monitoring early warning system |
| CN205861000U (en) * | 2016-07-04 | 2017-01-04 | 河北稳控科技有限公司 | A kind of tunnel deformation monitoring device |
| CN108548495A (en) * | 2018-03-30 | 2018-09-18 | 上海工程技术大学 | A kind of monitoring device for foundation pit and tunnel deformation |
| US20200149885A1 (en) * | 2017-07-31 | 2020-05-14 | Mitsubishi Electric Corporation | Structure measuring device, measurement point correcting device, and measurement point correcting method |
| CN112097669A (en) * | 2020-11-17 | 2020-12-18 | 南京派光智慧感知信息技术有限公司 | Method for monitoring deformation of structure in tunnel based on laser ranging |
| CN112836956A (en) * | 2021-01-29 | 2021-05-25 | 中煤科工集团重庆研究院有限公司 | Point location selection method and system for tunnel risk monitoring |
-
2021
- 2021-07-30 CN CN202110875267.5A patent/CN113605981B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105957311A (en) * | 2016-06-01 | 2016-09-21 | 中国水利水电科学研究院 | Adaptive expansion slope stability intelligent monitoring early warning system |
| CN105953740A (en) * | 2016-07-04 | 2016-09-21 | 河北稳控科技有限公司 | Tunnel deformation monitoring device |
| CN205861000U (en) * | 2016-07-04 | 2017-01-04 | 河北稳控科技有限公司 | A kind of tunnel deformation monitoring device |
| US20200149885A1 (en) * | 2017-07-31 | 2020-05-14 | Mitsubishi Electric Corporation | Structure measuring device, measurement point correcting device, and measurement point correcting method |
| CN108548495A (en) * | 2018-03-30 | 2018-09-18 | 上海工程技术大学 | A kind of monitoring device for foundation pit and tunnel deformation |
| CN112097669A (en) * | 2020-11-17 | 2020-12-18 | 南京派光智慧感知信息技术有限公司 | Method for monitoring deformation of structure in tunnel based on laser ranging |
| CN112836956A (en) * | 2021-01-29 | 2021-05-25 | 中煤科工集团重庆研究院有限公司 | Point location selection method and system for tunnel risk monitoring |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113605981B (en) | 2023-12-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102138342B1 (en) | IoT-based tunnel accident monitoring and facility autonomous inspection system using intelligent remote terminal device | |
| CN107328465B (en) | Submarine cable vibration monitoring system | |
| CN111739252B (en) | Fire monitoring and automatic fire extinguishing system and working method thereof | |
| CN106971478A (en) | The anti-external force damage monitoring system of overhead transmission line and monitoring device | |
| AU2020102181A4 (en) | An intelligent recognition system and method of tunnel structure health based on robot vision recognition | |
| CN111024043A (en) | Satellite remote sensing method based on sensor triggering | |
| CN106296045A (en) | A kind of electrical network foreign body laser removes equipment safety management control device and method | |
| CN112907901B (en) | Tunnel monitoring entity risk early warning assessment model | |
| KR20180001057A (en) | Fire suppression system and method of using drones, Disaster information acquisition system | |
| CN112216052A (en) | Forest fire prevention monitoring and early warning method, device and equipment and storage medium | |
| CN112578724A (en) | Power transmission line monitoring system | |
| CN110390790A (en) | A kind of gridding forest fire protection monitoring and pre-alarming method and system | |
| CN107580201A (en) | A kind of active video monitoring system for merging distributed sensor and its application | |
| CN110967600A (en) | Composite insulator degradation diagnosis method based on unmanned aerial vehicle infrared detection | |
| CN113124991A (en) | Distributed optical fiber vibration monitoring and vehicle and unmanned aerial vehicle linkage system and method | |
| CN111168694A (en) | Tunnel structure health intelligent recognition system and method based on robot visual recognition | |
| CN109345787A (en) | A kind of anti-outer damage monitoring and alarming system of the transmission line of electricity based on intelligent image identification technology | |
| CN113271435A (en) | Smart city safety monitoring system | |
| CN213424017U (en) | Intelligent construction site system | |
| CN113605981A (en) | Tunnel convergence deformation on-line monitoring system and method | |
| CN103057569B (en) | A kind of rail line foreign body intrusion monitoring device and method | |
| CN117011791A (en) | Mine fire disaster identification and alarm method based on image contour area characteristics | |
| CN205354289U (en) | All -weather intelligent alarm system of geological disasters based on multisource video monitoring technique | |
| CN104751612A (en) | Intelligent monitoring, early warning and controlling system for high-voltage line | |
| CN115967183A (en) | Power transmission line's system of patrolling and examining |
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 |