CN113863986B - Wireless real-time health monitoring and early warning system and method for shield tunnel segment structure - Google Patents
Wireless real-time health monitoring and early warning system and method for shield tunnel segment structure Download PDFInfo
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- CN113863986B CN113863986B CN202111179129.XA CN202111179129A CN113863986B CN 113863986 B CN113863986 B CN 113863986B CN 202111179129 A CN202111179129 A CN 202111179129A CN 113863986 B CN113863986 B CN 113863986B
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- 230000036541 health Effects 0.000 title claims abstract description 33
- 238000012544 monitoring process Methods 0.000 title claims abstract description 20
- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000009417 prefabrication Methods 0.000 claims abstract description 5
- 238000005260 corrosion Methods 0.000 claims description 31
- 230000007797 corrosion Effects 0.000 claims description 31
- 238000012545 processing Methods 0.000 claims description 31
- 238000004891 communication Methods 0.000 claims description 20
- 239000004567 concrete Substances 0.000 claims description 18
- 229910001294 Reinforcing steel Inorganic materials 0.000 claims description 9
- 238000007689 inspection Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 3
- 230000003014 reinforcing effect Effects 0.000 claims description 3
- 238000005728 strengthening Methods 0.000 claims description 3
- 230000002787 reinforcement Effects 0.000 claims description 2
- 239000011150 reinforced concrete Substances 0.000 abstract description 7
- 230000008859 change Effects 0.000 abstract description 6
- 238000011156 evaluation Methods 0.000 abstract description 2
- 230000008569 process Effects 0.000 abstract description 2
- 229910000831 Steel Inorganic materials 0.000 description 4
- 239000010959 steel Substances 0.000 description 4
- VEXZGXHMUGYJMC-UHFFFAOYSA-M Chloride anion Chemical compound [Cl-] VEXZGXHMUGYJMC-UHFFFAOYSA-M 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003763 carbonization Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000005641 tunneling Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Abstract
The invention relates to the technical field of tunnel engineering, and particularly discloses a wireless real-time health monitoring and early warning system and method for a shield tunnel segment structure. The invention is characterized in that the anode ladder sensor is pre-buried and installed in the prefabrication process of the shield tunnel segment, the health of the reinforced concrete structure of the shield tunnel segment can be monitored in real time after the shield tunnel segment is assembled, and a double-control mode is adopted as early warning control and evaluation, namely, the absolute value control of parameters and the change trend control of the parameters are adopted to early warn the structural health state of the shield tunnel segment.
Description
Technical Field
The invention relates to the technical field of tunnel engineering, in particular to a wireless real-time health monitoring and early warning system and method for a shield tunnel segment structure.
Background
The tunnel construction of the shield method adopts a shield machine for tunneling, a cutterhead cuts the stratum in front, and a duct piece is arranged in a shield body for supporting. Several steel shield tail brushes are arranged in the shield tail of the shield machine and used for preventing sand and stones in stratum, synchronous grouting liquid and underground water from entering the shield body.
The shield tunnel segment is generally prefabricated by reinforced concrete, and a shaping steel template mold is adopted. In the prior art, sensors are embedded in shield tunnel segments and used for monitoring the stress, deformation, corrosion change and other conditions of the segments, such as a vibrating wire type reinforcing steel bar gauge, a vibrating wire type concrete strain gauge, a fiber bragg grating type reinforcing steel bar strain gauge, a crack gauge and the like, and the sensors can only monitor the stress state of the reinforced concrete and cannot monitor the corrosion degree of chloride ions in the reinforced concrete, so that ideal real-time health monitoring and early warning effects cannot be achieved.
Disclosure of Invention
The invention aims to provide a wireless real-time health monitoring and early warning system and method for a shield tunnel segment structure, so as to realize real-time monitoring and early warning of the health condition of the shield tunnel segment reinforced concrete structure.
In order to solve the technical problems, the invention provides a wireless real-time health monitoring and early warning system for a shield tunnel segment structure, which comprises an anode ladder sensor, a connecting cable, a data acquisition device, a wireless communication device and a remote control processing system, wherein the anode ladder sensor is obliquely embedded in a reinforced protection layer of the shield tunnel segment and is used for measuring potential and resistivity data of different parts of the shield tunnel segment, the anode ladder sensor is connected with the data acquisition device positioned outside the shield tunnel segment through the connecting cable, the data acquisition device is used for supplying power to the anode ladder sensor and acquiring measured data of the anode ladder sensor, the data acquisition device is connected with the wireless communication device, the wireless communication device is used for transmitting the acquired data to the remote control processing system in a wireless communication mode, and the remote control processing system is used for storing, processing, analyzing and early warning the health state of the structure.
Preferably, the anode ladder sensor comprises a plurality of measuring rods, and the distances between the measuring rods and the concrete surface of the shield tunnel segment are sequentially changed.
Preferably, the connecting cable comprises a cable box positioned in the shield tunnel segment and a cable extension line positioned outside the shield tunnel segment.
The invention also provides a wireless real-time health monitoring and early warning method for the shield tunnel segment structure, which comprises the following steps:
s1, after reinforcing steel bars of a shield tunnel segment are installed and before concrete is poured, the anode ladder sensor is obliquely installed in a reinforcing steel bar protection layer of the shield tunnel segment, and then concrete is poured to finish prefabrication of the shield tunnel segment;
S2, after the shield tunnel segment is installed on the tunnel site, installing the data acquisition equipment and the wireless communication equipment outside the shield tunnel segment;
S3, analyzing and calculating the collected electric potential and resistivity data of the shield tunnel segment through the remote control processing system, and evaluating the structural health state of the shield tunnel segment;
S4, carrying out data fitting analysis on the acquired shield tunnel segment potential and resistivity data through the remote control processing system to obtain a corresponding potential fitting function a and a corresponding resistivity fitting function b related to time;
S5, comparing the newly acquired potential and resistivity data of the shield tunnel segment with the potential fitting function a and the resistivity fitting function b through the remote control processing system, calculating SSE residual error square sum and fitting goodness R 2 of the newly acquired potential and resistivity data, judging whether the potential fitting function a and the resistivity fitting function b are met, and evaluating the structural health state of the shield tunnel segment.
Preferably, the remote control processing system can adopt a real-time measurement or intermittent measurement mode to acquire data of the anode ladder sensor.
Preferably, in the step S3,
When the potential is less than-400 mV, determining that the corrosion is caused, and corresponding to a red early warning state; when the potential is between-250 mV and-350 mV, determining that corrosion is possible, and corresponding to an orange early warning state; when the potential is between-200 mV and-250 mV, judging that the corrosion is in low probability, and corresponding to a yellow early warning state; when the potential is greater than-200 mV, judging that the corrosion is not caused, and corresponding to a normal state;
When the resistivity is smaller than 5kΩ·cm, the corrosion rate is judged to be very high, corresponding to a red early warning state; when the resistivity is between 5 and 10kΩ & cm, the corrosion rate is judged to be high, and the orange early warning state is corresponding; when the resistivity is between 10 and 20kΩ & cm, judging that the yellow early warning state is corresponding to the corrosion rate; when the specific resistance is more than 20kΩ·cm, it is determined that the corrosion rate is low, corresponding to a normal case.
Preferably, in the step S4, the collected potential and resistivity data is subjected to data processing, invalid data is removed, the processed data is stored, and then data fitting analysis is performed.
Preferably, in the step S5,
Sum of squares of residuals:
sum of squares:
Statistic determining coefficient for measuring goodness of fit:
Wherein y is the processed acquisition value, and the average value is Fitting value thereof
When the SSE residual square sum and the fitting goodness R 2 of the newly acquired potential data meet the regression requirements, the potential fitting function a is judged to be met, and when the SSE residual square sum and the fitting goodness R 2 of the newly acquired resistivity data meet the regression requirements, the potential fitting function b is judged to be met.
Preferably, in the step S5,
When the newly acquired potential data meets the potential fitting function a, correcting the current potential fitting function a+1; when the newly acquired resistivity data meets the resistivity fitting function b, correcting the current resistivity fitting function b+1; when one of the newly collected potential and resistivity data does not meet the corresponding fitting function, the yellow early warning state is corresponding; and when the newly acquired potential and resistivity data do not meet the corresponding fitting functions, the corresponding orange early warning state is achieved.
Preferably, the method comprises the steps of,
When a yellow early warning state occurs, increasing the data acquisition frequency, reducing the data acquisition period, strengthening attention management, and carrying out manual analysis and judgment; when an orange early warning state occurs, adopting manual inspection and reinforcing and corrosion resisting measures; and when the red early warning state occurs, performing full-scale inspection and detection to judge the health degree of the structure.
The wireless real-time health monitoring and early warning system and method for the shield tunnel segment structure provided by the invention have the advantages that the anode ladder sensor is pre-buried and installed in the shield tunnel segment prefabrication process, the health of the reinforced concrete structure of the shield tunnel segment can be monitored in real time after the shield tunnel segment is assembled, a double-control mode is adopted as early warning control evaluation, namely, two indexes of absolute value control of parameters and change trend control of the parameters are adopted to early warn the health state of the structure, wherein the change trend control of the parameters is a mode of comparing the square sum of SSE residual errors of monitoring data and the existing fitting function and whether the fitting goodness R 2 is in a reasonable range or not. The system and the method can realize wireless real-time monitoring and early warning of the health state of the shield tunnel segment structure in a high-efficiency, simple and safe manner.
Drawings
Fig. 1 is a schematic diagram of a wireless real-time health monitoring and early warning system for a shield tunnel segment structure according to an embodiment of the invention.
In the figure, 1: shield tunnel segment; 2: an anode ladder sensor; 3: a measuring rod; 4: a connection cable; 5: a data acquisition device; 6: a wireless communication device; 7: a remote control processing system; 8: reinforcing steel bars.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings and examples. The following examples are illustrative of the invention but are not intended to limit the scope of the invention.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art. Furthermore, in the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
As shown in fig. 1, the wireless health monitoring and early warning system for shield tunnel segment structure of the present embodiment includes: the anode ladder sensor 2, a connecting cable 4, a data acquisition device 5, a wireless communication device 6 and a remote control processing system 7. The anode ladder sensor 2 is embedded in the reinforced protection layer of the shield tunnel segment 1 in an inclined mode and is used for measuring potential and resistivity data of different positions of the shield tunnel segment 1, the anode ladder sensor 2 comprises a plurality of measuring rods 3, the distances between the measuring rods 3 and the concrete surface of the shield tunnel segment 1 are sequentially changed, namely, the distances between the measuring rods and the concrete surface are sequentially increased or decreased, the change degree of chloride ions of segment concrete can be calculated by measuring potential and resistivity parameters of different positions, the position of critical chloride ion concentration front in the concrete is determined, and the starting time of reinforcement corrosion in the concrete is calculated. The positive pole ladder sensor 2 is connected with the data acquisition equipment 5 that is located shield tunnel section of jurisdiction 1 outside through connecting cable 4, and connecting cable 4 includes: the cable box located in the shield tunnel segment 1 and the cable extension line located outside the shield tunnel segment 1 are embedded in the shield tunnel segment 2 together with the anode ladder sensor 2, and the cable extension line is spliced on the cable box when the data acquisition equipment 5 is required to be installed after the shield tunnel segment 2 is spliced. The data acquisition equipment 5 is used for supplying power to the anode ladder sensor 2 and acquiring measured data thereof, the data acquisition equipment 5 is connected with the wireless communication equipment 6, 220V alternating current is used for supplying power through a transformer, the wireless communication equipment 6 is used for transmitting the acquired data to the remote control processing system 7 in a wireless communication mode, the wireless communication mode can be a 4G/5G signal in a tunnel, the remote control processing system 7 is used for storing, processing and analyzing the received data and early warning the structural health state, the remote control processing system 7 can be a networked computer, and a corresponding calculation analysis processing software program is stored in the computer.
The wireless real-time health monitoring and early warning method for the shield tunnel segment structure of the embodiment comprises the following steps:
S1, after reinforcing steel bars of a shield tunnel segment 1 are installed and before concrete is poured, an anode ladder sensor 2 is obliquely installed in a reinforcing steel bar protection layer of the shield tunnel segment 1, and then concrete is poured to finish prefabrication of the shield tunnel segment 1.
S2, after the shield tunnel segment 1 is installed on the tunnel site, the data acquisition equipment 5 and the wireless communication equipment 6 are installed outside the shield tunnel segment 1, the equipment is connected and debugged, the wireless communication equipment 6 and the remote control processing system 7 are subjected to communication debugging, and the remote control processing system 7 can acquire data of the anode ladder sensor 2 in a real-time measurement or intermittent measurement mode.
In this embodiment, a double control manner is adopted, that is, two indexes of an absolute value of a parameter and a change trend of the parameter are used as control. The duct piece structure health monitoring parameters comprise: concrete resistivity and measuring rod potential. The measuring rod potential is used for representing the carbonization depth of the concrete. Concrete resistivity was used to characterize the rate of corrosion occurrence. In a general tunnel environment, the corrosion rate of the steel bars in the reinforced concrete pipe pieces is inversely proportional to the resistivity, and if the resistivity of the concrete pipe pieces is lower, the steel bars are corroded slower.
S3, analyzing and calculating the acquired potential and resistivity data of the shield tunnel segment 1 through a remote control processing system 7, evaluating the structural health state of the shield tunnel segment 1, and judging early warning when the absolute value index reaches the corresponding early warning index;
When the potential is less than-400 mV, determining that the corrosion is caused, and corresponding to a red early warning state; when the potential is between-250 mV and-350 mV, determining that corrosion is possible, and corresponding to an orange early warning state; when the potential is between-200 mV and-250 mV, judging that the corrosion is in low probability, and corresponding to a yellow early warning state; when the potential is greater than-200 mV, judging that the corrosion is not caused, and corresponding to a normal state;
When the resistivity is smaller than 5kΩ·cm, the corrosion rate is judged to be very high, corresponding to a red early warning state; when the resistivity is between 5 and 10kΩ & cm, the corrosion rate is judged to be high, and the orange early warning state is corresponding; when the resistivity is between 10 and 20kΩ & cm, judging that the yellow early warning state is corresponding to the corrosion rate; when the specific resistance is more than 20kΩ·cm, it is determined that the corrosion rate is low, corresponding to a normal case.
S4, processing the collected potential and resistivity data through a remote control processing system 7, removing invalid data, continuously calculating the data after storage processing, and carrying out data fitting analysis to obtain a corresponding potential fitting function a and a resistivity fitting function b related to time, wherein the fitting functions are selected according to the trend of the distribution of the test data points, and are not listed here.
S5, comparing the potential and resistivity data of the newly acquired shield tunnel segment 1 with a potential fitting function a and a resistivity fitting function b through a remote control processing system 7, calculating SSE residual error square sum and fitting goodness R 2 of the newly acquired potential and resistivity data, judging whether the potential fitting function a and the resistivity fitting function b are met, and evaluating the structural health state of the shield tunnel segment 1;
Sum of squares of residuals:
sum of squares:
Statistic determining coefficient for measuring goodness of fit:
Wherein y is the processed acquisition value, and the average value is Fitting value thereof
When the SSE residual square sum and the fitting goodness R 2 of the newly acquired potential data meet the regression requirements, judging that the newly acquired potential data meet the potential fitting function a, and when the SSE residual square sum and the fitting goodness R 2 of the newly acquired resistivity data meet the regression requirements, judging that the newly acquired potential data meet the resistivity fitting function b;
When the newly acquired potential data meets the potential fitting function a, correcting the current potential fitting function a+1; when the newly acquired resistivity data meets the resistivity fitting function b, correcting the current resistivity fitting function b+1; when one of the newly collected potential and resistivity data does not meet the corresponding fitting function, the yellow early warning state is corresponding; and when the newly acquired potential and resistivity data do not meet the corresponding fitting functions, the corresponding orange early warning state is achieved.
When a yellow early warning state occurs, increasing the data acquisition frequency, reducing the data acquisition period, strengthening attention management, and carrying out manual analysis and judgment; when an orange early warning state occurs, adopting manual inspection and reinforcing and corrosion resisting measures; and when the red early warning state occurs, performing full-scale inspection and detection to judge the health degree of the structure.
The embodiments of the invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (1)
1. A wireless real-time health monitoring and early warning method for a shield tunnel segment structure is characterized by comprising the following steps:
S1, a shield tunnel segment structure wireless real-time health monitoring and early warning system is arranged, the shield tunnel segment structure wireless real-time health monitoring and early warning system comprises an anode ladder sensor (2), a connecting cable (4), a data acquisition device (5), a wireless communication device (6) and a remote control processing system (7), wherein the anode ladder sensor (2) is obliquely embedded in a reinforcement protection layer of the shield tunnel segment (1) and is used for measuring potential and resistivity data of different parts of the shield tunnel segment (1), the anode ladder sensor (2) is connected with a data acquisition device (5) positioned outside the shield tunnel segment (1) through the connecting cable (4), the data acquisition device (5) is used for supplying power to the anode ladder sensor (2) and acquiring measured data thereof, the data acquisition device (5) is connected with the wireless communication device (6), the wireless communication device (6) is used for transmitting the acquired data to the remote control processing system (7) in a wireless communication mode, the remote control processing system (7) is used for storing and processing the received data and processing the data, the anode ladder sensor (2) is in a discontinuous measurement mode or a multi-channel sensor (3), the distances between the measuring rods (3) and the concrete surface of the shield tunnel segment (1) are sequentially changed, and the connecting cable (4) comprises a cable box positioned in the shield tunnel segment (1) and a cable extension line positioned outside the shield tunnel segment (1);
After the reinforcing steel bars of the shield tunnel segment (1) are installed and before concrete is poured, the anode ladder sensor (2) is obliquely installed in the reinforcing steel bar protection layer of the shield tunnel segment (1), and then the concrete is poured to finish prefabrication of the shield tunnel segment (1);
s2, after the shield tunnel segment (1) is installed on a tunnel site, installing the data acquisition equipment (5) and the wireless communication equipment (6) outside the shield tunnel segment (1);
s3, analyzing and calculating the collected potential and resistivity data of the shield tunnel segment (1) through the remote control processing system (7), evaluating the structural health state of the shield tunnel segment (1), and judging that the shield tunnel segment is corroded and corresponds to a red early warning state when the potential is smaller than-400 mV; when the potential is between-250 mV and-350 mV, determining that corrosion is possible, and corresponding to an orange early warning state; when the potential is between-200 mV and-250 mV, judging that the corrosion is in low probability, and corresponding to a yellow early warning state; when the potential is greater than-200 mV, judging that the corrosion is not caused, and corresponding to a normal state;
when the resistivity is smaller than 5kΩ·cm, the corrosion rate is judged to be very high, corresponding to a red early warning state; when the resistivity is between 5 and 10kΩ & cm, the corrosion rate is judged to be high, and the orange early warning state is corresponding; when the resistivity is between 10 and 20kΩ & cm, judging that the yellow early warning state is corresponding to the corrosion rate; when the resistivity is larger than 20kΩ·cm, the corrosion rate is judged to be low, corresponding to the normal condition;
s4, carrying out data processing on the collected potential and resistivity data of the shield tunnel segment (1) through the remote control processing system (7), removing invalid data, storing the processed data, and carrying out data fitting analysis to obtain a corresponding potential fitting function a and a corresponding resistivity fitting function b related to time;
S5, comparing the potential and resistivity data of the newly acquired shield tunnel segment (1) with the potential fitting function a and the resistivity fitting function b through the remote control processing system (7), calculating SSE residual error square sum and fitting goodness R 2 of the newly acquired potential and resistivity data, judging whether the potential fitting function a and the resistivity fitting function b are met, and evaluating the structural health state of the shield tunnel segment (1);
Sum of squares of residuals:
sum of squares:
Statistic determining coefficient for measuring goodness of fit:
Wherein y is the processed acquisition value, and the average value is Fitting value thereof
When the SSE residual square sum and the fitting goodness R 2 of the newly acquired potential data meet the regression requirements, judging that the newly acquired potential data meet the potential fitting function a, and when the SSE residual square sum and the fitting goodness R 2 of the newly acquired resistivity data meet the regression requirements, judging that the newly acquired potential data meet the resistivity fitting function b;
When the newly acquired potential data meets the potential fitting function a, correcting the current potential fitting function a+1; when the newly acquired resistivity data meets the resistivity fitting function b, correcting the current resistivity fitting function b+1; when one of the newly collected potential and resistivity data does not meet the corresponding fitting function, the yellow early warning state is corresponding; when the newly acquired potential and resistivity data do not meet the corresponding fitting functions, increasing the data acquisition frequency, reducing the data acquisition period, strengthening attention management and carrying out manual analysis and judgment when the yellow early warning state appears corresponding to the orange early warning state; when an orange early warning state occurs, adopting manual inspection and reinforcing and corrosion resisting measures; and when the red early warning state occurs, performing full-scale inspection and detection to judge the health degree of the structure.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111179129.XA CN113863986B (en) | 2021-10-09 | Wireless real-time health monitoring and early warning system and method for shield tunnel segment structure |
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| CN202111179129.XA CN113863986B (en) | 2021-10-09 | Wireless real-time health monitoring and early warning system and method for shield tunnel segment structure |
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| CN113863986A CN113863986A (en) | 2021-12-31 |
| CN113863986B true CN113863986B (en) | 2024-07-09 |
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|---|---|---|---|---|
| CN104075756A (en) * | 2014-07-21 | 2014-10-01 | 青岛理工大学 | Multiple unit compound wireless monitoring system for service durability of concrete structure |
| CN207557160U (en) * | 2017-09-08 | 2018-06-29 | 林理文 | System is monitored for the Multifunctional corrosion of reinforced concrete structure |
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104075756A (en) * | 2014-07-21 | 2014-10-01 | 青岛理工大学 | Multiple unit compound wireless monitoring system for service durability of concrete structure |
| CN207557160U (en) * | 2017-09-08 | 2018-06-29 | 林理文 | System is monitored for the Multifunctional corrosion of reinforced concrete structure |
Non-Patent Citations (1)
| Title |
|---|
| 电路板绝缘电阻的曲线拟合;尚英娜等;《沈阳理工大学学报》;第30卷(第2期);第88-91页 * |
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