CN113643424A - Dam monitoring system based on optical fiber sensor network - Google Patents
Dam monitoring system based on optical fiber sensor network Download PDFInfo
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- CN113643424A CN113643424A CN202110795969.2A CN202110795969A CN113643424A CN 113643424 A CN113643424 A CN 113643424A CN 202110795969 A CN202110795969 A CN 202110795969A CN 113643424 A CN113643424 A CN 113643424A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 43
- 239000013307 optical fiber Substances 0.000 title claims abstract description 41
- 238000004891 communication Methods 0.000 claims abstract description 36
- 238000013135 deep learning Methods 0.000 claims abstract description 27
- 238000013178 mathematical model Methods 0.000 claims description 10
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 abstract description 12
- 238000000034 method Methods 0.000 description 4
- 230000000903 blocking effect Effects 0.000 description 2
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- 230000035558 fertility Effects 0.000 description 1
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- 239000003621 irrigation water Substances 0.000 description 1
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01D5/32—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light
- G01D5/34—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells
- G01D5/353—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells influencing the transmission properties of an optical fibre
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Abstract
The invention discloses a dam monitoring system based on an optical fiber sensor network, which comprises a central processing system, a monitoring system, a measuring and calculating system, an analysis system and an alarm module, wherein the central system is in communication connection with the monitoring system; the inside of the measuring and calculating system comprises a model comparison module, a deep learning module and an optical fiber sensor, the model comparison module is in communication connection with the deep learning module, and two groups of data are processed through the data comparison module, so that an accurate stress value in the dam body can be obtained, the external sensor is not needed to measure the impact force of water waves and wind power, the cost of the whole dam monitoring system is reduced, false alarm is avoided, and the monitoring accuracy is improved.
Description
Technical Field
The invention relates to the technical field of dam detection, in particular to a dam monitoring system based on an optical fiber sensor network.
Background
The dam refers to a weir for intercepting rivers and blocking water, and a water blocking dam of reservoirs, rivers and the like. The common reservoir dam mainly comprises a main dam, an auxiliary dam, a gravity dam, a normal spillway, an emergency spillway, a smart main canal culvert and a power station.
The dam provides irrigation water source for downstream farmland, prevents downstream river water from flooding, improves soil fertility, improves shipping conditions, utilizes reservoir for fish culture, increases income, reduces silt deposition at the river mouth, and protects the environment of the river mouth area.
The dam body is far away from the built year, the dam body is easy to shift under the impact of water waves and the impact of wind power, a large amount of manpower and capital are consumed for building the dam, the large amount of dams cannot be maintained uniformly, the dam needs to be monitored in real time, the phenomenon of bank break is avoided, the traditional monitoring system needs to monitor and measure the stress inside the dam body in the using process, but the impact force generated by the water waves on the dam body and the wind power in the real-time measuring process can enable the stress of the monitoring system to be increased extremely instantaneously, wrong early warning is generated, the detection accuracy is affected, and therefore the dam monitoring system based on the optical fiber sensor network is needed.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a dam monitoring system based on an optical fiber sensor network.
In order to achieve the purpose, the invention adopts the following technical scheme:
a dam monitoring system based on an optical fiber sensor network comprises a central processing system, a monitoring system, a measuring and calculating system, an analyzing system and an alarm module, wherein the central system is in communication connection with the monitoring system, the monitoring system is in communication connection with the measuring and calculating system, the measuring and calculating system is in communication connection with the analyzing system, the measuring and calculating system is in communication connection with the alarm module, and the analyzing system is in communication connection with the alarm module;
the measuring and calculating system comprises a model comparison module, a deep learning module and an optical fiber sensor, the model comparison module is in communication connection with the deep learning module, the deep learning module is in communication connection with the optical fiber sensor, the model comparison module can compare a three-dimensional model generated by an image shot from the outside and judge the deviation between the three-dimensional model and an original three-dimensional model, the model comparison module can transmit three-dimensional model data to the deep learning module, the deep learning module establishes a mathematical model between the three-dimensional model and an acting force based on deep learning so as to calculate the acting force required by dam body deviation through the mathematical model, the optical fiber sensors are uniformly arranged on the surface of the dam body, and the stress in the dam body structure can be measured through the optical fiber sensors.
Preferably, the monitoring system comprises a video acquisition module and an image recognition module, the video acquisition module is in communication connection with the image recognition module, the video acquisition module can acquire image videos shot from the outside, the video acquisition module can transmit the acquired image videos to the image recognition module, and the image recognition module recognizes the acquired image videos and selects the required image videos.
Preferably, the analysis system comprises a data generation module and a data comparison module, the data generation module and the data comparison module are in communication connection, the data generation module can collect the data measured and calculated by the optical fiber sensor and the deep learning module, the data generation module transmits the collected and produced data to the data comparison module, and the data comparison module processes the two sets of data and compares the two sets of data with the data therebetween.
Preferably, the data comparison module is in communication connection with the alarm module, the data comparison module transmits the compared data to the alarm module, and the alarm module is used for judging whether the stress in the dam body reaches an alarm value.
Preferably, the model comparison module is in communication connection with the alarm module, the model comparison module transmits the compared data to the alarm module, and the alarm module is used for judging whether the impact offset of the dam body reaches the limit.
Preferably, the distance between every two optical fiber sensors is not more than 3 m.
Compared with the prior art, the invention has the beneficial effects that:
1. the dam body image monitoring system can monitor dam body images through the matching use of the video acquisition module and the image recognition module and generate a three-dimensional model, the three-dimensional model of the dam body is analyzed and compared with the three-dimensional image between the dam body through the model comparison module, the model comparison module can transmit analyzed and compared data to the alarm module, whether the dam body deviation amount exceeds a warning value or not is judged through the alarm module, if the dam body deviation amount is overlarge, an alarm is given through the alarm module, and the dam body is repaired or dismantled and reconstructed in time.
2. The invention can learn the comparison data analyzed by the model comparison module through the deep learning module, then establish a mathematical model between the dam body three-dimensional model and the acting force based on the deep learning, thereby being capable of calculating the acting force required by the dam body deviation through the mathematical model, detecting the stress in the dam body through the optical fiber sensor, uniformly distributing the optical fiber sensor around the dam body, thereby being capable of monitoring the stress in the dam body in real time, statistically producing the stress in the dam body and the impact force of water waves acting on the dam body through the data generation module, processing two groups of data through the data comparison module, thereby being capable of obtaining the accurate stress value in the dam body, measuring the impact force of water waves and wind power without an external sensor, and reducing the cost of the whole dam monitoring system, and false alarm is avoided, and the monitoring accuracy is improved.
Drawings
Fig. 1 is a system block diagram of a dam monitoring system based on an optical fiber sensor network according to the present invention;
FIG. 2 is a block flow diagram of the present invention.
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.
Referring to fig. 1-2, a dam monitoring system based on an optical fiber sensor network comprises a central processing system, a monitoring system, a measuring and calculating system, an analysis system and an alarm module, wherein the central system is in communication connection with the monitoring system, the monitoring system is in communication connection with the measuring and calculating system, the measuring and calculating system is in communication connection with the analysis system, the measuring and calculating system is in communication connection with the alarm module, and the analysis system is in communication connection with the alarm module;
the measuring and calculating system comprises a model comparison module, a deep learning module and optical fiber sensors, wherein the model comparison module is in communication connection with the deep learning module, the deep learning module is in communication connection with the optical fiber sensors, the model comparison module can compare a three-dimensional model generated by an image shot from the outside and judge the deviation between the three-dimensional model and an original three-dimensional model, the model comparison module can transmit three-dimensional model data to the deep learning module, the deep learning module establishes a mathematical model between the three-dimensional model and an acting force based on deep learning so as to calculate the acting force required by dam body deviation through the mathematical model, the optical fiber sensors are uniformly arranged on the surface of a dam body, the stress in the structure of the dam body can be measured through the optical fiber sensors, the distance between every two optical fiber sensors is not more than 3m, the monitoring network formed by the optical fiber sensors can fully monitor the stress in the dam body, errors are avoided, external sensors are not needed to measure the impact force of water waves and wind power, the cost of monitoring the whole dam is reduced, false alarms are avoided, and the monitoring accuracy is improved;
the monitoring system comprises a video acquisition module and an image recognition module, wherein the video acquisition module is in communication connection with the image recognition module, the video acquisition module can acquire image videos shot from the outside, the video acquisition module can transmit the acquired image videos to the image recognition module, the image recognition module is used for recognizing the acquired image videos and selecting the required image videos, and the image recognition module is in communication connection with the model comparison module;
the analysis system comprises a data generation module and a data comparison module, wherein the data generation module is in communication connection with the data comparison module, the data generation module can collect the data measured and calculated by the optical fiber sensor and the deep learning module, the data generation module transmits the collected and produced data to the data comparison module, and the data comparison module processes the two groups of data and compares the two groups of data with the data between the two groups of data;
the data comparison module is in communication connection with the alarm module, the data comparison module can transmit the compared data to the alarm module, whether the stress in the dam body reaches an alarm value is judged through the alarm module, the model comparison module is in communication connection with the alarm module, the model comparison module can transmit the compared data to the alarm module, and whether the impact offset of the dam body reaches a limit is judged through the alarm module;
the image recognition module can be used for monitoring images around the dam body in real time, stress strain on the dam body is monitored through the optical fiber sensor, whether the dam body leaks or not can be judged, then alarm is carried out through the alarm module, and the dam body is protected.
When the dam body stress monitoring device is used, the optical fiber sensors are uniformly placed on the dam body, the distance between every two optical fiber sensors is not more than 3m, so that the stress in the dam body can be accurately monitored, the dam body is shot in real time through an external camera, shot photos and influences can be transmitted to the video acquisition module, the video acquisition module acquires an image video shot from the outside and transmits the acquired image video to the image identification module, the acquired image video is identified through the image identification module, and the required image video is selected and a three-dimensional model is generated;
the dam body three-dimensional model is analyzed and compared with a dam body three-dimensional image through a model comparison module, the model comparison module transmits analyzed and compared data to an alarm module, whether the dam body offset exceeds a warning value or not is judged through the alarm module, if the dam body offset is too large, an alarm is given through the alarm module, and the dam body is repaired or dismantled and reconstructed in time;
the data analyzed and compared by the model comparison module can be learned through the deep learning module, the mathematical model between the dam body three-dimensional model and the acting force is established based on the deep learning, the acting force required by the dam body deviation can be calculated through the mathematical model, the stress in the dam body can be detected through the monitoring network formed by the optical fiber sensors, the optical fiber sensors are uniformly distributed around the dam body, so that the stress in the dam body can be monitored in real time, the stress in the dam body, the impact force of water waves on the dam body and the wind power can be statistically generated through the data generation module, the two groups of data are processed through the data comparison module, so that the accurate stress value in the dam body can be obtained, the impact force of the water waves can be measured without an external sensor, and the monitoring cost of the whole dam is reduced, the data comparison module transmits data to the alarm module, the alarm module judges whether the stress inside the dam body, which is monitored by the optical fiber sensor and is influenced by the impact of the planed wind power and the water waves, is greater than the limit value of the dam body, and the alarm module gives an alarm if the stress is greater than the limit value of the dam body.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. A dam monitoring system based on an optical fiber sensor network is characterized by comprising a central processing system, a monitoring system, a measuring and calculating system, an analysis system and an alarm module, wherein the central system is in communication connection with the monitoring system, the monitoring system is in communication connection with the measuring and calculating system, the measuring and calculating system is in communication connection with the analysis system, the measuring and calculating system is in communication connection with the alarm module, and the analysis system is in communication connection with the alarm module;
the measuring and calculating system comprises a model comparison module, a deep learning module and an optical fiber sensor, the model comparison module is in communication connection with the deep learning module, the deep learning module is in communication connection with the optical fiber sensor, the model comparison module can compare a three-dimensional model generated by an image shot from the outside and judge the deviation between the three-dimensional model and an original three-dimensional model, the model comparison module can transmit three-dimensional model data to the deep learning module, the deep learning module establishes a mathematical model between the three-dimensional model and an acting force based on deep learning so as to calculate the acting force required by dam body deviation through the mathematical model, the optical fiber sensors are uniformly arranged on the surface of the dam body, and the stress in the dam body structure can be measured through the optical fiber sensors.
2. The dam monitoring system based on the optical fiber sensor network is characterized in that the monitoring system comprises a video acquisition module and an image recognition module, the video acquisition module is in communication connection with the image recognition module, image videos shot from the outside can be acquired through the video acquisition module, the video acquisition module can transmit the acquired image videos to the image recognition module, the image recognition module recognizes the acquired image videos, and required image videos are selected.
3. The dam monitoring system based on the optical fiber sensor network is characterized in that the analysis system comprises a data generation module and a data comparison module, the data generation module and the data comparison module are in communication connection, data measured by the optical fiber sensor and the deep learning module can be summarized through the data generation module, the data generation module transmits the summarized data to the data comparison module, and the two sets of data are processed through the data comparison module and compared with the data therebetween.
4. The dam monitoring system based on the optical fiber sensor network is characterized in that the data comparison module is in communication connection with the alarm module, the data comparison module transmits the compared data to the alarm module, and whether the stress in the dam body reaches an alarm value is judged through the alarm module.
5. The dam monitoring system based on the optical fiber sensor network is characterized in that the model comparison module is in communication connection with the alarm module, the model comparison module transmits the compared data to the alarm module, and whether the impact offset of the dam body reaches the limit is judged through the alarm module.
6. A dam monitoring system based on fiber-optic sensor network according to claim 5, wherein the distance between every two of said fiber-optic sensors is not more than 3 m.
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| CN204680159U (en) * | 2015-04-17 | 2015-09-30 | 北京交通大学长三角研究院 | Optical fiber distributed type reservoir dam monitoring system |
| CN106323243A (en) * | 2016-08-18 | 2017-01-11 | 广州地理研究所 | Dam deformation observation early-warning system, method and device based on unmanned aerial vehicle |
| CN109341778A (en) * | 2018-11-23 | 2019-02-15 | 泉州装备制造研究所 | A kind of information-based intelligence control system and control method of security monitoring Tailings Dam |
| CN111080982A (en) * | 2019-12-31 | 2020-04-28 | 三峡大学 | Dam safety intelligent monitoring and early warning system and method based on multiple sensors |
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- 2021-07-14 CN CN202110795969.2A patent/CN113643424A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN203518954U (en) * | 2013-08-12 | 2014-04-02 | 中国长江三峡集团公司 | IoT (Internet of things) based real-time monitoring system for total stability of high dam |
| CN104678954A (en) * | 2015-01-23 | 2015-06-03 | 中国长江三峡集团公司 | Dam safety intelligent monitoring and pre-warning system based on full life circle and method thereof |
| CN204680159U (en) * | 2015-04-17 | 2015-09-30 | 北京交通大学长三角研究院 | Optical fiber distributed type reservoir dam monitoring system |
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