CN113920744A - Tunnel portal traffic safety monitoring and early warning system based on Internet of things - Google Patents
Tunnel portal traffic safety monitoring and early warning system based on Internet of things Download PDFInfo
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- CN113920744A CN113920744A CN202111528043.3A CN202111528043A CN113920744A CN 113920744 A CN113920744 A CN 113920744A CN 202111528043 A CN202111528043 A CN 202111528043A CN 113920744 A CN113920744 A CN 113920744A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 213
- 230000006399 behavior Effects 0.000 claims description 13
- 238000005336 cracking Methods 0.000 claims description 12
- 238000005286 illumination Methods 0.000 claims description 11
- 239000007788 liquid Substances 0.000 claims description 8
- 230000006855 networking Effects 0.000 claims description 5
- 230000000391 smoking effect Effects 0.000 claims description 4
- 238000009825 accumulation Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 231100000817 safety factor Toxicity 0.000 abstract 1
- 239000007789 gas Substances 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000000034 method Methods 0.000 description 4
- 206010039203 Road traffic accident Diseases 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 241000282414 Homo sapiens Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- 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
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
- G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
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- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
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Abstract
The invention discloses a tunnel portal traffic safety monitoring and early warning system based on the Internet of things, which comprises a central processing unit, a monitoring system and an early warning processing system, wherein the monitoring system is connected with the central processing unit, the central processing unit is connected with the early warning processing system, and the monitoring system comprises a main control module, an environment monitoring unit, a pedestrian monitoring unit, a vehicle monitoring unit, a building monitoring unit, an analysis module, a GPS positioning module, an illegal entry module, an automatic photographing module and an uploading module. The invention relates to the technical field of traffic safety, and discloses a tunnel portal traffic safety monitoring and early warning system based on the Internet of things, which can monitor various safety factors in a tunnel, so that a traffic department can better know the traffic condition in the tunnel, the traffic department can manage and deploy the condition in the tunnel, and the labor intensity of traffic personnel is reduced.
Description
Technical Field
The invention relates to the technical field of traffic safety, in particular to a tunnel portal traffic safety monitoring and early warning system based on the Internet of things.
Background
The tunnel is an engineering building buried in the stratum, is a form of underground space utilized by human beings, and can be divided into a traffic tunnel, a hydraulic tunnel, a municipal tunnel, a mine tunnel, a military tunnel and the like.
Many vehicles pass through the tunnel, so that the safety of the traffic in the tunnel is very important, but for the current traffic tunnel, the safety monitoring coefficient is relatively low, so that the traffic accident phenomenon frequently occurs in the tunnel, and the defect is not correspondingly improved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a tunnel portal traffic safety monitoring and early warning system based on the Internet of things, which solves the problem that traffic accidents can frequently occur in a tunnel because the safety monitoring coefficient is lower in the current traffic tunnel.
In order to achieve the purpose, the invention is realized by the following technical scheme: the utility model provides a tunnel portal traffic safety monitoring early warning system based on thing networking, includes central processing unit and monitoring system and early warning processing system, monitoring system is connected with central processing unit, central processing unit is connected with early warning processing system.
The monitoring system comprises a main control module, an environment monitoring unit, a pedestrian monitoring unit, a vehicle monitoring unit, a building monitoring unit, an analysis module, a GPS positioning module, an illegal entry module, an automatic photographing module and an uploading module, wherein the environment monitoring unit, the pedestrian monitoring unit, the vehicle monitoring unit and the building monitoring unit transmit monitored information to the main control module, the analysis module analyzes traffic safety conditions through the monitored information, the illegal entry module is used for entering pictures of illegal behaviors of drivers, the GPS positioning module is used for positioning position information, the automatic photographing module is used for automatic photographing of traffic safety, and the uploading module is used for uploading traffic condition information.
Preferably, the environment monitoring unit comprises a liquid level monitoring module, a wind speed monitoring module, an air pressure monitoring module, a gas monitoring module, an illumination monitoring module and a foreign matter monitoring module.
Preferably, the liquid level monitoring module is used for monitoring the ponding situation in the tunnel, the wind speed monitoring module is used for monitoring the wind speed situation in the tunnel, the atmospheric pressure monitoring module is used for monitoring the atmospheric pressure intensity in the tunnel, gaseous monitoring module is used for monitoring various gas content situations in the tunnel, the illumination monitoring module is used for monitoring the illumination situation in the tunnel, foreign matter monitoring module is used for monitoring the foreign matter on road surface in the tunnel.
Preferably, the vehicle monitoring unit comprises a flow monitoring module and an illegal monitoring module, the flow monitoring module is used for monitoring the vehicle flow condition in the tunnel, and the illegal monitoring module is used for monitoring the illegal driving behavior of a driver in the tunnel.
Preferably, the illegal driving behaviors comprise calling, not fastening a safety belt, smoking, changing lanes with solid lines, speeding, not using light correctly, pressing lines and overloading.
Preferably, the building monitoring unit comprises a rockfall monitoring module, a settlement monitoring module and a pavement cracking monitoring module.
Preferably, the rockfall monitoring module is used for monitoring rockfall conditions in the tunnel, the settlement monitoring module is used for monitoring ground and wall settlement conditions in the tunnel, and the pavement cracking monitoring module is used for monitoring pavement cracking conditions in the tunnel.
Preferably, the early warning processing system is including control module and risk judgment module, data receiving module, power module, fire control module, early warning module, automatic alarm module, pronunciation warning module and voice editing module, data receiving module is connected with the risk judgment module, the risk judgment module is connected with control module, control module controls power module and fire control module and early warning module respectively, the early warning module makes automatic alarm module automatic alarm, and the early warning module makes pronunciation warning module send pronunciation warning to personnel, the pronunciation editing module is used for modifying the content of editing to pronunciation warning.
Preferably, the data receiving module is configured to receive monitored data, and the risk judging module is configured to judge a type and a risk degree of traffic safety.
Preferably, the power supply module is a power switch of each device in the tunnel.
Advantageous effects
The invention provides a tunnel portal traffic safety monitoring and early warning system based on the Internet of things, which has the following beneficial effects compared with the prior art:
1. this tunnel entrance to a cave traffic safety monitoring early warning system based on thing networking can monitor various factor of safety in the tunnel to the traffic department of being convenient for can be better know the traffic conditions in the tunnel, thereby the traffic department of being convenient for manages and deploys the condition in the tunnel, has reduced traffic personnel's intensity of labour.
2. This tunnel entrance to a cave traffic safety monitoring early warning system based on thing networking, when taking place latent traffic safety in the tunnel, can judge the type and the risk degree of potential safety hazard, then timely warning personnel, and can judge the risk coefficient condition of traffic safety, thereby timely notice traffic department, make timely going of traffic personnel look over, when the conflagration breaks out in the tunnel, can the very first time cut off equipment power, and start fire-fighting equipment and put out a fire work, thereby factor of safety in the tunnel has been improved, the incidence of traffic accident is reduced.
Drawings
FIG. 1 is a functional block diagram of the present invention;
FIG. 2 is a schematic block diagram of the monitoring system of the present invention;
FIG. 3 is a functional block diagram of an environmental monitoring module according to the present invention;
FIG. 4 is a functional block diagram of the vehicle monitoring unit of the present invention;
FIG. 5 is a schematic block diagram of the building monitoring unit of the present invention;
fig. 6 is a functional block diagram of an early warning processing system according to the present invention.
In the figure: 1. a central processing unit; 2. a monitoring system; 21. a main control module; 22. an environment monitoring unit; 221. a liquid level monitoring module; 222. a wind speed monitoring module; 223. a gas pressure monitoring module; 224. a gas monitoring module; 225. a lighting monitoring module; 226. a foreign matter monitoring module; 23. a pedestrian monitoring unit; 24. a vehicle monitoring unit; 241. a flow monitoring module; 242. an violation monitoring module; 25. a building monitoring unit; 251. a rockfall monitoring module; 252. a settlement monitoring module; 253. a pavement cracking monitoring module; 26. an analysis module; 27. a GPS positioning module; 28. an illegal entry module; 29. an automatic photographing module; 210. an uploading module; 3. an early warning processing system; 31. a control module; 32. a risk judgment module; 33. a data receiving module; 34. a power supply module; 35. a fire fighting module; 36. an early warning module; 37. an automatic alarm module; 38. a voice warning module; 39. and a voice editing module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: the utility model provides a tunnel portal traffic safety monitoring early warning system based on thing networking, includes central processing unit 1 and monitoring system 2 and early warning processing system 3, and monitoring system 2 is connected with central processing unit 1, and central processing unit 1 is connected with early warning processing system 3.
Referring to fig. 2, in the embodiment of the present invention, the monitoring system 2 includes a main control module 21, an environment monitoring unit 22, a pedestrian monitoring unit 23, a vehicle monitoring unit 24, a building monitoring unit 25, an analysis module 26, a GPS positioning module 27, an illegal entry module 28, an automatic photographing module 29, and an upload module 210, where the environment monitoring unit 22, the pedestrian monitoring unit 23, the vehicle monitoring unit 24, and the building monitoring unit 25 transmit monitored information to the main control module 21, the analysis module 26 analyzes a traffic safety condition through the monitored information, the illegal entry module 28 is used to enter a picture of an illegal behavior of a driver, the GPS positioning module 27 is used to position location information, the automatic photographing module 29 is used to automatically photograph the traffic safety, and the upload module 210 is used to upload traffic condition information.
Referring to fig. 3, in the embodiment of the present invention, the environment monitoring unit 22 includes a liquid level monitoring module 221, an air speed monitoring module 222, an air pressure monitoring module 223, a gas monitoring module 224, an illumination monitoring module 225, and a foreign object monitoring module 226, where the liquid level monitoring module 221 is configured to monitor a water accumulation condition in the tunnel, the air speed monitoring module 222 is configured to monitor an air speed condition in the tunnel, the air pressure monitoring module 223 is configured to monitor an air pressure intensity in the tunnel, the gas monitoring module 224 is configured to monitor various gas content conditions in the tunnel, the illumination monitoring module 225 is configured to monitor an illumination condition in the tunnel, and the foreign object monitoring module 226 is configured to monitor a foreign object on a road surface in the tunnel.
Referring to fig. 4, in the embodiment of the present invention, the vehicle monitoring unit 24 includes a flow monitoring module 241 and an illegal monitoring module 242, where the flow monitoring module 241 is configured to monitor a vehicle flow condition in the tunnel, and the illegal monitoring module 242 is configured to monitor an illegal driving behavior of a driver in the tunnel, where the illegal driving behavior includes making a call, not fastening a seat belt, smoking, changing lanes with a solid line, speeding, incorrectly using light, pressing a line, and overloading.
Referring to fig. 5, in the embodiment of the present invention, the building monitoring unit 25 includes a rockfall monitoring module 251, a settlement monitoring module 252, and a pavement cracking monitoring module 253, where the rockfall monitoring module 251 is used to monitor rockfall conditions in the tunnel, the settlement monitoring module 252 is used to monitor settlement conditions of the ground and the wall in the tunnel, and the pavement cracking monitoring module 253 is used to monitor pavement cracking conditions in the tunnel.
Referring to fig. 6, in the embodiment of the present invention, the early warning processing system 3 includes a control module 31, a risk judgment module 32, a data receiving module 33, a power module 34, a fire protection module 35, an early warning module 36, an automatic alarm module 37, a voice warning module 38, and a voice editing module 39, the data receiving module 33 is connected to the risk judgment module 32, the risk judgment module 32 is connected to the control module 31, the control module 31 controls the power module 34, the fire protection module 35, and the early warning module 36 respectively, the early warning module 36 makes the automatic alarm module 37 alarm automatically, the early warning module 36 makes the voice warning module 38 send out a voice warning to a person, the voice editing module 39 is used to modify and edit the content of the voice warning, the data receiving module 33 is used to receive monitored data, the risk judgment module 32 is used to judge the type and risk degree of traffic safety, the power module 34 is a power switch for each device in the tunnel.
And those not described in detail in this specification are well within the skill of those in the art.
The working principle is as follows: the environment monitoring unit 22 is used for monitoring the environment, the liquid level monitoring module 221 in the environment monitoring unit 22 is used for monitoring the water accumulation condition in the tunnel, the wind speed monitoring module 222 is used for monitoring the wind speed condition in the tunnel, the air pressure monitoring module 223 is used for monitoring the air pressure intensity in the tunnel, the air monitoring module 224 is used for monitoring the content condition of various gases in the tunnel, the illumination monitoring module 225 is used for monitoring the illumination condition in the tunnel, the foreign matter monitoring module 226 is used for monitoring foreign matters on the road surface in the tunnel, the pedestrian monitoring unit 23 is used for monitoring pedestrians in the tunnel and judging whether the pedestrians enter the tunnel by mistake, the flow monitoring module 241 in the vehicle monitoring unit 24 is used for monitoring the flow condition of vehicles in the tunnel, the violation monitoring module 242 is used for monitoring the violation driving behavior of drivers in the tunnel, the violation behavior comprises calling, safety belts are not tied, smoking, solid line lane changing, overspeed, safety belt changing, and the like, The actions of incorrect use of light, line pressing, overload and the like, the rockfall monitoring module 251 in the building monitoring unit 25 is used for monitoring the rockfall condition in the tunnel, the settlement monitoring module 252 is used for monitoring the settlement condition of the ground and the wall surface in the tunnel, the pavement cracking monitoring module 253 is used for monitoring the pavement cracking condition in the tunnel, the environment monitoring unit 22, the pedestrian monitoring unit 23, the vehicle monitoring unit 24 and the building monitoring unit 25 transmit the monitored information to the main control module 21, the GPS positioning module 27 can position the monitored place, an illegal behavior picture of a driver is input into the illegal input module 28, then the analysis module 26 analyzes the monitored data and the picture in the illegal input module 28, whether traffic safety hidden danger exists in the tunnel or not is judged, if yes, the automatic photographing module 29 automatically photographs the tunnel, and the uploading module 210 uploads the illegal behavior picture to the background terminal;
further, the data receiving module 33 receives the uploaded data, the risk judging module 32 judges the type and risk degree of the potential safety hazard, if the risk degree is too large, the early warning module 36 sends out early warning, the automatic warning module 37 automatically gives an alarm to notify the traffic department, so that the related personnel of the traffic department can check the situation, then the voice warning module 38 notifies the personnel in the tunnel in a voice mode, so that the personnel can be corrected in time, and the voice editing module 39 can edit the content of the voice warning.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Claims (10)
1. The utility model provides a tunnel portal traffic safety monitoring early warning system based on thing networking which characterized in that: the early warning system comprises a central processing unit (1), a monitoring system (2) and an early warning processing system (3), wherein the monitoring system (2) is connected with the central processing unit (1), and the central processing unit (1) is connected with the early warning processing system (3);
the monitoring system (2) comprises a main control module (21), an environment monitoring unit (22), a pedestrian monitoring unit (23), a vehicle monitoring unit (24), a building monitoring unit (25), an analysis module (26), a GPS positioning module (27), an illegal entry module (28), an automatic photographing module (29) and an uploading module (210), wherein the environment monitoring unit (22), the pedestrian monitoring unit (23), the vehicle monitoring unit (24) and the building monitoring unit (25) transmit monitored information to the main control module (21), the analysis module (26) analyzes traffic safety conditions through the monitored information, the illegal entry module (28) is used for entering pictures of illegal behaviors of drivers, the GPS positioning module (27) is used for positioning position information, and the automatic photographing module (29) is used for automatic photographing of traffic safety, the uploading module (210) is used for uploading traffic condition information.
2. The tunnel portal traffic safety monitoring and early warning system based on the Internet of things according to claim 1, characterized in that: the environment monitoring unit (22) comprises a liquid level monitoring module (221), a wind speed monitoring module (222), an air pressure monitoring module (223), a gas monitoring module (224), an illumination monitoring module (225) and a foreign matter monitoring module (226).
3. The tunnel portal traffic safety monitoring and early warning system based on the Internet of things as claimed in claim 2, wherein: the liquid level monitoring module (221) is used for monitoring the water accumulation condition in the tunnel, the wind speed monitoring module (222) is used for monitoring the wind speed condition in the tunnel, the air pressure monitoring module (223) is used for monitoring the air pressure intensity in the tunnel, the gas monitoring module (224) is used for monitoring various gas content conditions in the tunnel, the illumination monitoring module (225) is used for monitoring the illumination condition in the tunnel, and the foreign matter monitoring module (226) is used for monitoring the foreign matters on the road surface in the tunnel.
4. The tunnel portal traffic safety monitoring and early warning system based on the Internet of things according to claim 1, characterized in that: the vehicle monitoring unit (24) comprises a flow monitoring module (241) and an illegal monitoring module (242), wherein the flow monitoring module (241) is used for monitoring the vehicle flow condition in the tunnel, and the illegal monitoring module (242) is used for monitoring the illegal driving behavior of a driver in the tunnel.
5. The tunnel portal traffic safety monitoring and early warning system based on the Internet of things according to claim 4, characterized in that: the illegal driving behaviors comprise calling, not fastening a safety belt, smoking, changing lanes with solid lines, speeding, incorrectly using lamplight, pressing lines and overloading.
6. The tunnel portal traffic safety monitoring and early warning system based on the Internet of things according to claim 1, characterized in that: the building monitoring unit (25) comprises a rockfall monitoring module (251), a settlement monitoring module (252) and a pavement cracking monitoring module (253).
7. The tunnel portal traffic safety monitoring and early warning system based on the Internet of things according to claim 6, characterized in that: the rockfall monitoring module (251) is used for monitoring rockfall conditions in the tunnel, the settlement monitoring module (252) is used for monitoring settlement conditions of the ground and the wall in the tunnel, and the pavement cracking monitoring module (253) is used for monitoring pavement cracking conditions in the tunnel.
8. The tunnel portal traffic safety monitoring and early warning system based on the Internet of things according to claim 1, characterized in that: the early warning processing system (3) comprises a control module (31), a risk judgment module (32), a data receiving module (33), a power supply module (34), a fire fighting module (35), an early warning module (36), an automatic alarm module (37), a voice warning module (38) and a voice editing module (39), the data receiving module (33) is connected with the risk judging module (32), the risk judgment module (32) is connected with the control module (31), the control module (31) respectively controls the power supply module (34), the fire-fighting module (35) and the early warning module (36), the early warning module (36) enables the automatic warning module (37) to automatically warn, and the early warning module (36) makes the voice warning module (38) send out voice warning to personnel, the voice editing module (39) is used for modifying and editing the content of the voice warning.
9. The tunnel portal traffic safety monitoring and early warning system based on the Internet of things according to claim 8, characterized in that: the data receiving module (33) is used for receiving the monitored data, and the risk judging module (32) is used for judging the type and the risk degree of the traffic safety.
10. The tunnel portal traffic safety monitoring and early warning system based on the Internet of things according to claim 8, characterized in that: the power supply module (34) is a power supply switch of each device in the tunnel.
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| CN202111528043.3A CN113920744A (en) | 2021-12-15 | 2021-12-15 | Tunnel portal traffic safety monitoring and early warning system based on Internet of things |
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| CN202111528043.3A CN113920744A (en) | 2021-12-15 | 2021-12-15 | Tunnel portal traffic safety monitoring and early warning system based on Internet of things |
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| CN109736895A (en) * | 2019-03-04 | 2019-05-10 | 中铁十六局集团有限公司 | A kind of tunnel deformation warning monitoring system |
| CN111325977A (en) * | 2020-02-25 | 2020-06-23 | 创捷运维智能科技有限责任公司 | Tunnel intelligence edge calculation management and control system |
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2021
- 2021-12-15 CN CN202111528043.3A patent/CN113920744A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180253963A1 (en) * | 2017-03-02 | 2018-09-06 | Veniam, Inc. | Systems and methods for characterizing and managing driving behavior in the context of a network of moving things, including for use in autonomous vehicles |
| CN109640032A (en) * | 2018-04-13 | 2019-04-16 | 河北德冠隆电子科技有限公司 | Based on the more five dimension early warning systems of element overall view monitoring detection of artificial intelligence |
| CN109523780A (en) * | 2018-07-19 | 2019-03-26 | 郭忠印 | A kind of mountainous area highway snowfall environment early warning system and method |
| CN109736895A (en) * | 2019-03-04 | 2019-05-10 | 中铁十六局集团有限公司 | A kind of tunnel deformation warning monitoring system |
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Inventor after: Zhao Kedong Inventor after: Bai Yang Inventor after: Wang Chenrui Inventor after: Dong Jie Inventor before: Zhao Kecheng Inventor before: Bai Yang Inventor before: Wang Chenrui Inventor before: Dong Jie |
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Application publication date: 20220111 |