CN111047843B - Immersed tube tunnel monitoring and early warning device - Google Patents
Immersed tube tunnel monitoring and early warning device Download PDFInfo
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- CN111047843B CN111047843B CN201911353545.XA CN201911353545A CN111047843B CN 111047843 B CN111047843 B CN 111047843B CN 201911353545 A CN201911353545 A CN 201911353545A CN 111047843 B CN111047843 B CN 111047843B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 48
- 238000006073 displacement reaction Methods 0.000 claims abstract description 137
- 238000012545 processing Methods 0.000 claims abstract description 9
- 238000005070 sampling Methods 0.000 claims description 9
- 238000012937 correction Methods 0.000 claims description 8
- 238000012423 maintenance Methods 0.000 description 6
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- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
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Abstract
The invention relates to the technical field of tunnel monitoring, and discloses a immersed tube tunnel monitoring and early warning device which comprises a monitoring module, an analysis processing module and an early warning module, wherein the monitoring module comprises a plurality of first sensors, a plurality of second sensors and a temperature sensor, the first sensors and the second sensors are respectively used for monitoring the transverse differential displacement and the vertical differential displacement between two adjacent immersed tubes of an immersed tube tunnel, and the temperature sensor is used for monitoring the temperature of the environment where the immersed tube tunnel is located; the analysis processing module is used for periodically calculating average transverse differential displacement and average vertical differential displacement within a preset time period according to the data sent by the monitoring module, comparing the average transverse differential displacement and the average vertical differential displacement with corresponding preset displacement difference thresholds respectively, and determining whether an early warning instruction is generated or not according to a comparison result; the early warning module is used for executing the early warning instruction. The invention realizes the monitoring of the horizontal displacement and the vertical displacement between two adjacent immersed tubes of the immersed tube tunnel.
Description
Technical Field
The invention relates to the field of tunnel structure health monitoring, in particular to a monitoring and early warning device for an immersed tunnel.
Background
Under long-term natural environment and service environment's dual function, horizontal displacement and vertical displacement take place easily between two adjacent immersed tubes in immersed tube tunnel, and these displacements take place to influence the structure health in immersed tube tunnel easily, are unfavorable for the normal operating in immersed tube tunnel.
Disclosure of Invention
Aiming at the problems, the invention provides a monitoring and early warning device for an immersed tunnel.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides a monitoring and early warning device for immersed tube tunnels, which comprises a monitoring module, an analysis processing module and an early warning module, wherein the monitoring module comprises:
the monitoring module comprises a plurality of first sensors, a plurality of second sensors and a temperature sensor, wherein the plurality of first sensors are used for monitoring the transverse differential displacement between two adjacent immersed tubes of the immersed tube tunnel, the plurality of second sensors are used for monitoring the vertical differential displacement between two adjacent immersed tubes of the immersed tube tunnel, and the temperature sensor is used for monitoring the temperature of the environment where the immersed tube tunnel is located;
the analysis processing module is communicated with the monitoring module and used for periodically calculating average transverse differential displacement and average vertical differential displacement within a preset time period according to data sent by the monitoring module, comparing the average transverse differential displacement and the average vertical differential displacement with corresponding preset displacement difference thresholds respectively, and determining whether an early warning instruction is generated or not according to a comparison result;
the early warning module is used for executing the early warning instruction.
In one implementation, the number of the first sensors is two, the first sensors are horizontally arranged in parallel with two adjacent immersed tubes, and the first sensors are arranged at the bottom of the pipe joint connector.
In one implementation manner, the number of the second sensors is two, and the two second sensors are respectively vertically arranged on two sides of the pipe joint connector.
In one implementation, the calculating the average lateral differential displacement and the average vertical differential displacement within the preset time period includes:
acquiring displacement data sampled every time in a preset time period of the current period, and calculating transverse differential displacement and vertical differential displacement data corresponding to each sampling frequency according to the displacement data;
calculating theoretical average transverse differential displacement and theoretical average vertical differential displacement according to the transverse differential displacement and vertical differential displacement data:
wherein n represents the sampling times of the preset time period of the current period, d1avgTheoretical average lateral differential displacement, d, for a preset time period of the current cycle2avgThe theoretical average vertical differential displacement for a preset time period for the current cycle,
is the maximum of the lateral disparity displacement corresponding to the first n/2 samples,
is the maximum of the lateral disparity displacement corresponding to the last n/2 samples,
is the maximum of the vertical disparity displacement corresponding to the first n/2 samples,
is the maximum value of the vertical differential displacement corresponding to the sampling of n/2 times;
and respectively correcting the theoretical average transverse differential displacement and the theoretical average vertical differential displacement to obtain the average transverse differential displacement and the average vertical differential displacement of the preset time period.
In one implementation, the correcting the theoretical average lateral differential displacement and the theoretical average vertical differential displacement respectively includes:
acquiring temperature data sampled every time in a preset time period of the current period, and calculating the average temperature in the preset time period of the current period;
calculating a displacement correction coefficient s according to the average temperature:
wherein α is a predetermined temperature-corrected displacement, TavgAverage temperature, T, in a preset time period for the current cycle0To presetIs suitable for the temperature threshold of the immersed tube tunnel, f (T)avg，T0) Is a preset judgment value function, when T isavg≤T0When f (T)avg，T0) When T is equal to 0avg＞T0When f (T)avg，T0)＝1；
Calculating the average transverse differential displacement and the average vertical differential displacement of the preset time period according to the following correction formula:
d1avg′＝d1avg(1+s)
d2avg′＝d2avg(1+s)
in the formula (d)1avg' represents an average lateral differential displacement for a preset period of time, d2avg' denotes an average vertical differential displacement for a preset period of time.
In an implementation manner, the early warning module sends early warning information to a preset mobile terminal when executing the early warning instruction.
The invention has the beneficial effects that: the invention realizes the monitoring of the horizontal displacement and the vertical displacement between two adjacent immersed tubes of the immersed tube tunnel, and can carry out real-time early warning according to the monitoring result, thereby facilitating the working personnel to carry out the structural health maintenance on the immersed tube tunnel in time according to the early warning information.
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The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a block diagram illustrating a structural connection of a immersed tunnel monitoring and warning device according to an exemplary embodiment of the present invention.
Reference numerals:
the device comprises a monitoring module 1, an analysis processing module 2 and an early warning module 3.
Detailed Description
The invention is further described with reference to the following examples.
As shown in fig. 1, an embodiment of the present invention provides a immersed tunnel monitoring and early warning device, which includes a monitoring module 1, an analysis processing module 2, and an early warning module 3, wherein:
the monitoring module 1 comprises a plurality of first sensors, a plurality of second sensors and a temperature sensor, wherein the plurality of first sensors are used for monitoring the transverse differential displacement between two adjacent immersed tubes of the immersed tube tunnel, the plurality of second sensors are used for monitoring the vertical differential displacement between two adjacent immersed tubes of the immersed tube tunnel, and the temperature sensor is used for monitoring the temperature of the environment where the immersed tube tunnel is located;
the analysis processing module 2 is in communication with the monitoring module 1, and is configured to periodically calculate an average lateral difference displacement and an average vertical difference displacement within a preset time period according to data sent by the monitoring module 1, compare the average lateral difference displacement and the average vertical difference displacement with corresponding preset displacement difference thresholds, and determine whether to generate an early warning instruction according to a comparison result;
the early warning module 3 is used for executing the early warning instruction.
Wherein, confirm whether to generate the early warning order according to the comparative result, include: and generating an early warning instruction when the average transverse differential displacement is larger than a corresponding preset displacement difference threshold value, and/or generating an early warning instruction when the average vertical differential displacement exceeds a corresponding preset displacement difference threshold value. The preset displacement difference threshold corresponding to the average transverse differential displacement and the preset displacement difference threshold corresponding to the average vertical differential displacement can be determined according to the damage influence degree of the displacement on the immersed tube tunnel structure.
The early warning instruction can comprise immersed tube position information or immersed tube number information corresponding to the data unsatisfied requirement.
The embodiment of the invention realizes the monitoring of the horizontal displacement and the vertical displacement between two adjacent immersed tubes of the immersed tube tunnel, can carry out real-time early warning according to the monitoring result, and is convenient for the working personnel to carry out the structural health maintenance on the immersed tube tunnel in time according to the early warning information.
In one implementation, the number of the first sensors is two, the first sensors are horizontally arranged in parallel with two adjacent immersed tubes, and the first sensors are arranged at the bottom of the pipe joint connector. In one implementation manner, the number of the second sensors is two, and the two second sensors are respectively vertically arranged on two sides of the pipe joint connector.
In one implementation, the calculating the average lateral differential displacement and the average vertical differential displacement within the preset time period includes:
acquiring displacement data sampled every time in a preset time period of the current period, and calculating transverse differential displacement and vertical differential displacement data corresponding to each sampling frequency according to the displacement data;
calculating theoretical average transverse differential displacement and theoretical average vertical differential displacement according to the transverse differential displacement and vertical differential displacement data:
wherein n represents the sampling times of the preset time period of the current period, d1avgTheoretical average lateral differential displacement, d, for a preset time period of the current cycle2avgThe theoretical average vertical differential displacement for a preset time period for the current cycle,
is the maximum of the lateral disparity displacement corresponding to the first n/2 samples,
is the maximum of the lateral disparity displacement corresponding to the last n/2 samples,
is the maximum of the vertical disparity displacement corresponding to the first n/2 samples,
is the maximum value of the vertical differential displacement corresponding to the sampling of n/2 times;
and respectively correcting the theoretical average transverse differential displacement and the theoretical average vertical differential displacement to obtain the average transverse differential displacement and the average vertical differential displacement of the preset time period.
In the embodiment, the average horizontal differential displacement and the average vertical differential displacement within the preset time period are calculated, so that the maintenance personnel can be helped to know the displacement change of the immersed tube tunnel at each time stage. The average transverse differential displacement and the average vertical differential displacement are calculated according to the mode, so that the data calculation efficiency can be improved under the condition of ensuring the data precision, and the monitoring efficiency is improved.
In one implementation, the correcting the theoretical average lateral differential displacement and the theoretical average vertical differential displacement respectively includes:
acquiring temperature data sampled every time in a preset time period of the current period, and calculating the average temperature in the preset time period of the current period;
calculating a displacement correction coefficient s according to the average temperature:
wherein α is a predetermined temperature-corrected displacement, TavgAverage temperature, T, in a preset time period for the current cycle0A predetermined temperature threshold, f (T), suitable for the immersed tunnelavg，T0) Is a preset judgment value function, when T isavg≤T0When f (T)avg，T0) When T is equal to 0avg＞T0When f (T)avg，T0)＝1；
Calculating the average transverse differential displacement and the average vertical differential displacement of the preset time period according to the following correction formula:
d1avg′＝d1avg(1+s)
d2avg′＝d2avg(1+s)
in the formula (d)1avg' represents an average lateral differential displacement for a preset period of time, d2avg' denotes an average vertical differential displacement for a preset period of time.
Because the temperature can influence the displacement, the calculated displacement change is corrected according to the temperature data, and a displacement correction coefficient is correspondingly provided, so that the calculation precision of the displacement change can be further improved, and the early warning accuracy of the early warning device is improved.
In an implementation manner, the early warning module 3 sends early warning information to a preset mobile terminal when executing the early warning instruction. The early warning information is directly sent to the mobile terminal, so that maintenance personnel can be timely reminded, and the maintenance personnel can timely carry out structural health maintenance on the immersed tube tunnel according to the early warning information.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (4)
1. The utility model provides a immersed tube tunnel monitoring early warning device, characterized by, including monitoring module, analysis and processing module and early warning module, wherein:
the monitoring module comprises a plurality of first sensors, a plurality of second sensors and a temperature sensor, wherein the plurality of first sensors are used for monitoring the transverse differential displacement between two adjacent immersed tubes of the immersed tube tunnel, the plurality of second sensors are used for monitoring the vertical differential displacement between two adjacent immersed tubes of the immersed tube tunnel, and the temperature sensor is used for monitoring the temperature of the environment where the immersed tube tunnel is located;
the analysis processing module is communicated with the monitoring module and used for periodically calculating average transverse differential displacement and average vertical differential displacement within a preset time period according to data sent by the monitoring module, comparing the average transverse differential displacement and the average vertical differential displacement with corresponding preset displacement difference thresholds respectively, and determining whether an early warning instruction is generated or not according to a comparison result;
the early warning module is used for executing the early warning instruction;
the calculating of the average horizontal differential displacement and the average vertical differential displacement within the preset time period includes:
acquiring displacement data sampled every time in a preset time period of the current period, and calculating transverse differential displacement and vertical differential displacement data corresponding to each sampling frequency according to the displacement data;
calculating theoretical average transverse differential displacement and theoretical average vertical differential displacement according to the transverse differential displacement and vertical differential displacement data:
wherein n represents the sampling times of the preset time period of the current period, d1avgTheoretical average lateral differential displacement, d, for a preset time period of the current cycle2avgThe theoretical average vertical differential displacement for a preset time period for the current cycle,
is the maximum of the lateral disparity displacement corresponding to the first n/2 samples,
is the maximum of the lateral disparity displacement corresponding to the last n/2 samples,
is the maximum of the vertical disparity displacement corresponding to the first n/2 samples,
is the maximum value of the vertical differential displacement corresponding to the sampling of n/2 times;
correcting the theoretical average transverse differential displacement and the theoretical average vertical differential displacement respectively to obtain the average transverse differential displacement and the average vertical differential displacement of the preset time period, wherein the correction comprises the following steps:
acquiring temperature data sampled every time in a preset time period of the current period, and calculating the average temperature in the preset time period of the current period;
calculating a displacement correction coefficient s according to the average temperature:
wherein α is a predetermined temperature-corrected displacement, TavgAverage temperature, T, in a preset time period for the current cycle0A predetermined temperature threshold, f (T), suitable for the immersed tunnelavg,T0) Is a preset judgment value function, when T isavg≤T0When f (T)avg,T0) When T is equal to 0avg>T0When f (T)avg,T0)＝1；
Calculating the average transverse differential displacement and the average vertical differential displacement of the preset time period according to the following correction formula:
d1avg′＝d1avg(1+s)
d2avg′＝d2avg(1+s)
in the formula (d)1avg' represents an average lateral differential displacement for a preset period of time, d2avg' denotes an average vertical differential displacement for a preset period of time.
2. The immersed tube tunnel monitoring and early warning device as claimed in claim 1, wherein the number of the first sensors is two, the first sensors are horizontally arranged in parallel with two adjacent immersed tubes, and the first sensors are arranged at the bottom of the tube joint connector.
3. The immersed tunnel monitoring and early warning device as claimed in claim 1, wherein the number of the second sensors is two, and the two second sensors are respectively vertically arranged on two sides of the pipe joint connector.
4. The immersed tunnel monitoring and early warning device as claimed in any one of claims 1 to 3, wherein the early warning module sends early warning information to a preset mobile terminal when executing the early warning instruction.
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