CN111622806A - Intelligent early warning method for high-temperature instability of subway tunnel concrete lining - Google Patents

Abstract

The invention discloses an intelligent early-warning method for high-temperature instability of concrete linings of subway tunnels. Through the above method, the intelligent early warning method for high temperature instability of subway tunnel concrete lining of the present invention controls two sets of systems to monitor the deformation and top collapse of iron tunnel concrete lining respectively, and carry out early warning. After analysis, different early warning thresholds are set according to different temperatures, which is more reasonable and safe. The settlement real-time detection system automatically realizes real-time monitoring and early warning of the cumulative displacement and deformation rate of the vault, without setting reflective cursors at the monitoring points, and automatically calculates the rough surface of the concrete. It can accurately remove abnormal data and has real-time characteristics. It can send early warning signals in time, greatly improve safety, and has certain guiding significance for the design and maintenance of regional tunnels.

Description

An intelligent early warning method for high temperature instability of subway tunnel concrete lining

technical field

The invention relates to the technical field of detection of subway tunnels, in particular to an intelligent early warning method for high temperature instability of concrete linings of subway tunnels.

Background technique

At present, my country's social economy is growing rapidly, and transportation is developing rapidly. Various railways, highways, tunnels, and subways are also under construction. Lining refers to the permanent construction of reinforced concrete and other materials along the periphery of the tunnel to prevent the deformation or collapse of the surrounding rock. It is usually used in tunnel engineering and water conservancy channels. However, in tunnel engineering construction, due to the temperature difference between the inside and outside of the concrete, the change of the humidity inside and outside the concrete is inconsistent, the curing time after pouring is shortened, and the concrete is poured in sections. Cracks in the concrete lining are prone to occur, resulting in damage to the tunnel and economic losses.

SUMMARY OF THE INVENTION

The main technical problem to be solved by the present invention is to provide an intelligent early warning method for high temperature instability of concrete lining of subway tunnels.

In order to solve the above-mentioned technical problems, a technical scheme adopted in the present invention is:

Provided is an intelligent early warning method for high temperature instability of a concrete lining of a subway tunnel, comprising the following steps:

(1) A deformation real-time detection system and a settlement real-time detection system are set up at the safe distance from the entrance and exit of the tunnel and at the cross-section of the lining where cracks have appeared. The first warning threshold compares whether the warning is activated. The deformation real-time detection system includes a strain sensor, a data acquisition instrument, a GPRS module and a server. The settlement real-time detection system starts early warning according to the comparison between the settlement displacement and the second warning threshold. The settlement real-time detection system includes a laser range finder, an automatic filtering device and a memory, and the laser range finder is set at the level of the clear cross-section. on the ground;

，将去 年一季度的变形加速度的平均值作为今年的相同季度的第一预警阈值

； (2) The data acquisition instrument includes a comprehensive acquisition module, a signal lightning protection module and a power lightning protection module integrated in the acquisition box. The data acquisition instrument collects the strain value σ of the strain sensor and sends it to the main control system. Points t1, t2 and t3, time interval △t=t3-t2=t2-t1, get the deformation acceleration

, taking the average value of deformation acceleration in the first quarter of last year as the first warning threshold for the same quarter of this year

;

，时间点n2测得的距离为

，再根据激光与水平方向的 夹角α，求得沉降位移为

，将去年的沉降位移的平均值作为今年的 第二预警阈值

； (3) The data collected by the laser rangefinder is filtered by the automatic filtering device and then sent to the memory. The main control system collects the data in the memory and analyzes it. The laser is projected to the monitoring point of the deformed surface to form a spot, and the laser rangefinder measures the straight-line distance of the laser to the spot. The distance measured at the initial time point n1 is

, the distance measured at time point n2 is

, and then according to the angle α between the laser and the horizontal direction, the settlement displacement is obtained as

, taking the average of last year's settlement displacement as the second warning threshold for this year

;

时或者当

时，启动预警。 (4) When

when or when

, the warning is activated.

In a preferred embodiment of the present invention, the safety distance is 80 meters.

In a preferred embodiment of the present invention, the set time is 1 hour.

In a preferred embodiment of the present invention, the quarter is a year including four quarters, the first quarter is from January to March, the first quarter is from April to June, the first quarter is from July to September, and the first quarter is from July to September. The quarter is September-December.

In a preferred embodiment of the present invention, the server transmits the strain value data collected by the data acquisition instrument to the controller through the TCP/UDP network protocol.

In a preferred embodiment of the present invention, the strain sensor is a vibrating wire strain gauge.

In a preferred embodiment of the present invention, the GPRS module includes RS232 and RS485 interfaces.

In a preferred embodiment of the present invention, the main control system includes a database, a controller, a subordinate computer and an early warning module.

In a preferred embodiment of the present invention, the early warning module includes an alarm light and a buzzer.

In a preferred embodiment of the present invention, the main control system analyzes and stores data in the memory.

The beneficial effects of the present invention are: to provide an intelligent early warning method for high temperature instability of concrete linings of subway tunnels, and simultaneously control two systems to monitor the deformation of concrete linings of iron tunnels and the collapse of the top respectively, and carry out early warning, and the real-time deformation detection system can detect the deformation of tunnel linings. The seasonal change law is analyzed, and different warning thresholds are set according to different temperatures, which is more reasonable and safe. The settlement real-time detection system automatically realizes real-time monitoring and early warning of the cumulative displacement and deformation rate of the vault. Calculate the displacement value of the rough surface of concrete, accurately remove abnormal data, have real-time performance, can issue early warning signals in time, greatly improve safety, and have certain guiding significance for the design and maintenance of regional tunnels.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Embodiments of the present invention include:

An intelligent early warning method for high temperature instability of a concrete lining of a subway tunnel, comprising the following steps.

(1) A deformation real-time detection system and a settlement real-time detection system are set up at the safe distance from the entrance and exit of the tunnel and at the cross-section of the lining where cracks have appeared. The first warning threshold compares whether the warning is activated. The deformation real-time detection system includes a strain sensor, a data acquisition instrument, a GPRS module and a server. The settlement real-time detection system starts early warning according to the comparison between the settlement displacement and the second warning threshold. The settlement real-time detection system includes a laser range finder, an automatic filtering device and a memory, and the laser range finder is set at the level of the clear cross-section. on the ground.

The main control system includes a database, a controller, a lower computer and an early warning module, which can realize the functions of graph and report making, data analysis and automatic saving, and early warning. The early warning module includes an alarm light and a buzzer.

The strain sensor is a vibrating wire strain gauge with a range of 1000με, a sensitivity of 1με, and a temperature range of -10°C to 60°C. A temperature sensor is set inside to directly measure the temperature of the measuring point, which is used for temperature correction of the strain value. The safety distance is 80 meters, 15 strain sensors are arranged on the arc surface of each cross section, and the set time is 1 hour.

， 将去年一季度的变形加速度的平均值作为今年的相同季度的第一预警阈值

，所述设定 时间为1小时。 (2) The data acquisition instrument includes a comprehensive acquisition module, a signal lightning protection module and a power lightning protection module integrated in the acquisition box. The data acquisition instrument collects the strain value σ of the strain sensor and sends it to the main control system. Points t1, t2 and t3, time interval △t=t3-t2=t2-t1, get the deformation acceleration

, taking the average value of deformation acceleration in the first quarter of last year as the first warning threshold for the same quarter of this year

, the set time is 1 hour.

The said quarter is a year including four quarters, the first quarter is from January to March, the first quarter is from April to June, the first quarter is from July to September, and the first quarter is from September to December.

The GPRS module is a wireless data terminal for the Internet of Things. It uses the public operator network to provide wireless long-distance data transmission functions. It adopts high-performance industrial-grade 16/32-bit communication processors and industrial-grade wireless modules. Embedded real-time operating system The software support platform also provides RS232 and RS485 interfaces, which can be directly connected to serial devices to realize the function of data transparent transmission. The C/S network architecture network system that transmits data through the TCP/UDP network protocol can support point-to-point, point-to-multipoint It also supports extended short message function and application system released by various information service platforms. The server receives the data sent by the GPRS module through the mobile communication network and saves it in the database.

，时间点n2测得的距离为

，再根据激光与水平方 向的夹角α，求得沉降位移为

，将去年的沉降位移的平均值作为今 年的第二预警阈值

； (3) The data collected by the laser rangefinder is filtered by the automatic filtering device and then sent to the memory. The main control system collects the data in the memory and analyzes it. The laser is projected to the monitoring point of the deformed surface to form a spot, and the laser rangefinder measures the straight-line distance of the laser to the spot. The distance measured at the initial time point n1 is

, the distance measured at time point n2 is

, and then according to the angle α between the laser and the horizontal direction, the settlement displacement is obtained as

, taking the average of last year's settlement displacement as the second warning threshold for this year

;

的垂直位移时，将引起

的激光距离△

的改变，△L数据变化灵敏度大于直接 沉降位移H的变化，十分有利于实时报警的监测，并且显然测量△L的值比测量H的值方便得 多，不需要在断面位置安装仪器，可以避免对施工的干扰。 Due to the settlement displacement of H in the tunnel vault, the laser spot on the deformation surface will move from position A to position B, and the distance of the laser decreases by △L. Obviously, △L=L1-L2, when the initial shotcrete surface of the vault is rough When the degree is within the acceptable range, the laser spot will be elliptical, and the laser ranging is to calculate the distance from the center of the spot to the device, which is equivalent to averaging the distance from the rough and deformed surface within the elliptical spot to the device. , when the deformation surface of the vault monitoring point is greater than

The vertical displacement of , will cause

The laser distance△

The change sensitivity of △L data is greater than that of direct settlement displacement H, which is very beneficial to the monitoring of real-time alarms, and it is obvious that measuring the value of △L is much more convenient than measuring the value of H, and there is no need to install instruments at the cross-section position, which can be avoided. Interference with construction.

时或者当

时，启动预警。 (4) When

when or when

, the warning is activated.

The above descriptions are only the embodiments of the present invention, and are not intended to limit the scope of the patent of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the description of the present invention, or directly or indirectly applied in other related technical fields, are all applicable. Similarly, it is included in the scope of patent protection of the present invention.

Claims (10)

1. The intelligent early warning method for high-temperature instability of the subway tunnel concrete lining is characterized by comprising the following steps of:

(1) the method comprises the steps that a deformation real-time detection system and a settlement real-time detection system are arranged at safe distances from an inlet and an outlet of a tunnel and at a cross section of a lining with cracks, the deformation real-time detection system compares a strain value with a first early warning threshold value through set time to start early warning, the deformation real-time detection system comprises strain sensors, a data acquisition instrument, a GPRS module and a server, the strain sensors are distributed on an arc surface of the cross section of the lining at equal intervals, the settlement real-time detection system compares settlement displacement with a second early warning threshold value to start early warning, the settlement real-time detection system comprises a laser range finder, an automatic filtering device and a memory, and the laser range finder is arranged on the horizontal ground of the cross section of the lining;

(2) the data acquisition instrument comprises a comprehensive acquisition module, a signal lightning protection module and a power supply lightning protection module which are integrated in an acquisition box body, wherein the strain value sigma of the strain sensor acquired by the data acquisition instrument is sent to a main control system, and the deformation acceleration is obtained according to continuous different time points t1, t2 and t3 and time intervals △ t = t3-t2= t2-t1

Taking the average value of the deformation acceleration of the quarter of the last year as a first early warning threshold value of the same quarter of the year

；

(3) The laser range finder collects data, the data are filtered by the automatic filtering device and then sent to the memory, the main control system collects the data of the memory for analysis, the laser range finder is placed at the same position of the horizontal ground of the cross section for ranging at different time points, and the laser projector is used for projecting laserThe laser range finder measures the laser linear distance to the light spot, and the distance measured at the initial time point n1 is

The distance measured at the time point n2 is

Then, according to the included angle α between the laser and the horizontal direction, the settlement displacement is obtained as

Taking the average value of the settlement displacement of the last year as a second early warning threshold value of the current year

；

(4) When in use

When or when

And starting early warning.

2. The intelligent early warning method for high-temperature instability of a subway tunnel concrete lining as claimed in claim 1, wherein said safe distance is 80 meters.

3. The intelligent early warning method for high-temperature instability of a subway tunnel concrete lining as claimed in claim 1, wherein the set time is 1 hour.

4. The intelligent early warning method for high-temperature instability of a subway tunnel concrete lining as claimed in claim 1, wherein said quarter is a year including four quarters, the first quarter is 1-3 months, the first quarter is 4-6 months, the first quarter is 7-9 months, the first quarter is 9-12 months.

5. The intelligent early warning method for high-temperature instability of a subway tunnel concrete lining as claimed in claim 1, wherein said server transmits the strain value data collected by the data collector to the controller through a TCP/UDP network protocol.

6. The intelligent early warning method for high-temperature instability of a subway tunnel concrete lining as claimed in claim 1, wherein said strain sensor is a vibrating wire strain gauge.

7. The intelligent early warning method for high-temperature instability of a subway tunnel concrete lining as claimed in claim 1, wherein said GPRS module comprises RS232 and RS485 interfaces.

8. The intelligent early warning method for the high-temperature instability of the subway tunnel concrete lining as claimed in claim 1, wherein the main control system comprises a database, a controller, a lower computer and an early warning module.

9. The intelligent early warning method for high-temperature instability of a subway tunnel concrete lining as claimed in claim 8, wherein said early warning module comprises an alarm lamp and a buzzer.

10. The intelligent early warning method for high-temperature instability of a subway tunnel concrete lining as claimed in claim 1, wherein said main control system analyzes and stores the data of the memory.