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CN113378269B - Tunnel settlement deformation prediction method - Google Patents

Tunnel settlement deformation prediction method
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CN113378269B
CN113378269BCN202110636688.2ACN202110636688ACN113378269BCN 113378269 BCN113378269 BCN 113378269BCN 202110636688 ACN202110636688 ACN 202110636688ACN 113378269 BCN113378269 BCN 113378269B
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tunnel
controller cpu
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CN113378269A (en
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崔达
张永杰
邱斌
黄思凝
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China University of Petroleum East China
CCCC Tunnel Engineering Co Ltd
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China University of Petroleum East China
CCCC Tunnel Engineering Co Ltd
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Abstract

A tunnel settlement deformation prediction method comprises the following steps: step 1: selecting monitoring points and presetting a settlement deformation characteristic research device; step 2: predicting system initialization setting; step 3: the prediction system carries out automatic monitoring of sedimentation deformation; step 4: the controller CPU analyzes and processes the monitoring data; step 5: the cloud server establishes an actual sedimentation deformation curve and generates a predicted sedimentation deformation curve. The method for predicting the long-term settlement deformation-time of the tunnel can monitor the tunnel with the ultra-long linear structure, which consists of a plurality of structural sections, and has high accuracy of measurement results and wide application range.

Description

Translated fromChinese
一种隧道沉降变形预测方法A method for predicting tunnel settlement deformation

技术领域Technical field

本发明涉及隧道沉降研究技术领域,具体来讲涉及的是一种隧道沉降变形预测方法。The invention relates to the technical field of tunnel settlement research, and specifically relates to a tunnel settlement deformation prediction method.

背景技术Background technique

隧道是埋置于地层内的工程建筑物,是人类利用地下空间的一种形式。然而,在百年的设计基准期内,隧道结构由于受到地基不均匀沉降、长期承受动荷载、混凝土收缩与徐变等因素的影响,往往会发生较大变形,从而增大隧道重大灾害发生的风险。Tunnels are engineering buildings buried in the ground and are a form of human utilization of underground space. However, within the design reference period of a hundred years, the tunnel structure often undergoes large deformations due to factors such as uneven settlement of the foundation, long-term dynamic loads, concrete shrinkage and creep, thereby increasing the risk of major disasters in the tunnel. .

由于两个矩形隧道节段之间的接缝变形可以直观反映隧道结构的变形情况,因此,工程中通常对接缝变形进行实时监测,以直观反映隧道结构的状况,从而避免重大灾害的发生,而现有的隧道中没有配置专用设备用以监测隧道的差异沉降变形情况,常用的方法之一是布点式的监控,测需要进行多断面反复操作,并受坐标控制点严重制约,监测误差大且操作繁琐,并不能有效反应隧道全长范围的位移变化,不便于研究。Since the deformation of the joint between two rectangular tunnel segments can visually reflect the deformation of the tunnel structure, the joint deformation is usually monitored in real time during the project to directly reflect the condition of the tunnel structure, thereby avoiding the occurrence of major disasters. However, the existing tunnels are not equipped with special equipment to monitor the differential settlement and deformation of the tunnel. One of the commonly used methods is point-based monitoring. The measurement requires repeated operations on multiple sections and is severely restricted by coordinate control points, resulting in large monitoring errors. Moreover, the operation is cumbersome and cannot effectively reflect the displacement changes across the entire length of the tunnel, making it inconvenient for research.

发明内容Contents of the invention

因此,为了解决上述不足,本发明在此提供一种便于对隧道沉降变量实时监测,高精度的隧道沉降变形特征研究装置。Therefore, in order to solve the above-mentioned deficiencies, the present invention provides a high-precision research device for tunnel settlement deformation characteristics that facilitates real-time monitoring of tunnel settlement variables.

本发明是这样实现的,一种隧道沉降变形预测方法,包括以下步骤:The present invention is implemented in this way. A method for predicting tunnel settlement deformation includes the following steps:

步骤1:选择监测点,预设沉降变形特征研究装置;Step 1: Select monitoring points and preset settlement deformation characteristics research device;

根据隧道的工程地质情况,进行多排及多层的沉降理论计算,得到沉降变形计算曲线,选取沉降变形计算曲线的反弯点及陡降段,作为监测点A;同时,选取任意两个相邻的结构段之间的结构缝的中心线处,作为监测点B;在监测点A和监测点B两处均设置沉降变形特征研究装置,形成多监测线路;According to the engineering geological conditions of the tunnel, multi-row and multi-layer settlement theoretical calculations are performed to obtain the settlement deformation calculation curve. The inverse bending point and steep drop section of the settlement deformation calculation curve are selected as monitoring point A; at the same time, any two phases are selected. The center line of the structural joint between adjacent structural segments is used as monitoring point B; settlement deformation characteristics research devices are installed at both monitoring point A and monitoring point B to form multiple monitoring lines;

步骤2:预测系统初始化设置;Step 2: Prediction system initialization settings;

预测系统包括有设备模块和电子模块,设备模块包括有沉降变形特征研究装置,电子模块包括有控制器CPU;预测系统以读取管理文件的方式定义监测周期、监测点A和监测点B的采样周期,以读取数据文件的方式获取监测点A和监测点B的初始绝对位置数值;所有预测系统内部变量、监测点A和监测点B控制状态复位;The prediction system includes an equipment module and an electronic module. The equipment module includes a settlement deformation characteristic research device, and the electronic module includes a controller CPU. The prediction system defines the monitoring period, monitoring point A and monitoring point B sampling by reading management files. Period, obtain the initial absolute position values of monitoring point A and monitoring point B by reading data files; all internal variables of the prediction system, monitoring point A and monitoring point B control status are reset;

步骤3:预测系统进行沉降变形自动监测;Step 3: The prediction system performs automatic monitoring of settlement deformation;

预测系统控制沉降变形特征研究装置中的距离传感器、车辆检测器和温度传感器分别工作,预测系统根据距离传感器采集的信息计算出监测点A和监测点B的沉降值;根据车辆检测器采集的信息计算出隧道的车流量;根据温度传感器采集的信息计算出隧道各处的温度值;距离传感器、车辆检测器和温度传感器分别自带电源,在无人值守情况下自动采集相关信息,通过Zigbee无线自组网络发送到数据采集模块;The prediction system controls the distance sensor, vehicle detector and temperature sensor in the settlement deformation characteristics research device to work respectively. The prediction system calculates the settlement values of monitoring point A and monitoring point B based on the information collected by the distance sensor; based on the information collected by the vehicle detector Calculate the traffic flow in the tunnel; calculate the temperature values in various parts of the tunnel based on the information collected by the temperature sensor; the distance sensor, vehicle detector and temperature sensor each have their own power supply, and automatically collect relevant information under unattended conditions, and use Zigbee wireless The self-organizing network is sent to the data acquisition module;

步骤4:控制器CPU分析处理监测数据;Step 4: The controller CPU analyzes and processes the monitoring data;

数据采集模块在无人值守情况下,自动无线接收来自各距离传感器、车辆检测器和温度传感器的监测数据,并将监测数据发送给控制器CPU,控制器CPU将监测数据发送给数据计算模块、数据分析处理模块和SD-RAM存储模块;数据计算模块和数据分析处理模块解译处理后重新封装,将重新封装的监测数据发送给控制器CPU;控制器CPU按照TCP/IP协议格式发送给云服务器;The data acquisition module automatically and wirelessly receives monitoring data from various distance sensors, vehicle detectors and temperature sensors when unattended, and sends the monitoring data to the controller CPU. The controller CPU sends the monitoring data to the data calculation module, Data analysis and processing module and SD-RAM storage module; the data calculation module and data analysis and processing module interpret and process and then re-encapsulate, and send the re-encapsulated monitoring data to the controller CPU; the controller CPU sends it to the cloud according to the TCP/IP protocol format server;

步骤5:云服务器建立实际沉降变形曲线,生成预测沉降变形曲线;Step 5: The cloud server establishes the actual settlement deformation curve and generates the predicted settlement deformation curve;

云服务器在线完成隧道沉降变形监测数据的接收、存储、处理分析,根据沉降值、车流量、温度值和监测时间,建立该断面的实际沉降变形曲线,并根据实际沉降变形曲线,预测后期一段时间内的预测沉降变形曲线;再通过GPRS/4G/5G无线通讯网络,按照TCP/IP协议格式,将预测沉降变形曲线数据发送给控制器CPU,控制器CPU将预测沉降变形曲线数据发送给预警监测模块,预警监测模块实时进行预警监测。The cloud server completes the reception, storage, processing and analysis of tunnel settlement deformation monitoring data online. Based on the settlement value, traffic flow, temperature value and monitoring time, the actual settlement deformation curve of the section is established, and based on the actual settlement deformation curve, a period of time is predicted in the later period. The predicted settlement deformation curve within the system is then sent to the controller CPU through the GPRS/4G/5G wireless communication network and in accordance with the TCP/IP protocol format, and the controller CPU sends the predicted settlement deformation curve data to the early warning monitoring module, the early warning monitoring module performs early warning monitoring in real time.

优化的:控制器CPU的型号为S3C2440微处理器;Optimized: The controller CPU model is S3C2440 microprocessor;

控制器CPU内部分别连接于数据分析处理模块、数据计算模块、SD-RAM存储模块、预警监测模块和时钟模块;The controller CPU is internally connected to the data analysis and processing module, data calculation module, SD-RAM storage module, early warning monitoring module and clock module;

控制器CPU外部分别连接于RS485串接口、USB接口、数字I/O接口、电源模块、复位电路、外设设备接口和数据采集模块;其中,USB接口连接于外设数据接口;数据采集模块经由Zigbee无线自组网络连接于距离传感器、车辆检测器和温度传感器。The controller CPU is externally connected to the RS485 serial interface, USB interface, digital I/O interface, power module, reset circuit, peripheral device interface and data acquisition module; among them, the USB interface is connected to the peripheral data interface; the data acquisition module is connected via Zigbee wireless self-organizing network connects distance sensors, vehicle detectors and temperature sensors.

优化的:沉降变形特征研究装置,隧道本体1内设置有与地面固定安装的支撑底座2,隧道本体1顶部设置有减缓冲击的缓冲管4,缓冲管4顶部设置有连接座3,连接座3远缓冲管4端固定安装有距离传感器8,距离传感器8侧面设置有显示器,距离传感器8侧面滑动连接有滑块14,滑块14远位移下端面安装有距离传感器发射端9,距离传感器8底部安装有距离传感器接收端15,滑块14顶部设置有与隧道本体1顶部保持固定的锚钉13。Optimized: Settlement deformation characteristics research device. The tunnel body 1 is provided with a support base 2 fixedly installed on the ground. The top of the tunnel body 1 is provided with a buffer tube 4 to slow down the impact. The top of the buffer tube 4 is provided with a connecting seat 3. The connecting seat 3 A distance sensor 8 is fixedly installed at the 4 ends of the far buffer tube. A display is provided on the side of the distance sensor 8. A slider 14 is slidingly connected to the side of the distance sensor 8. A distance sensor transmitting end 9 is installed on the lower end of the distance sensor 8. The bottom of the distance sensor 8 is A distance sensor receiving end 15 is installed, and the top of the slider 14 is provided with an anchor 13 fixed to the top of the tunnel body 1 .

优化的:支撑底座2通过固定板6与缓冲管4连接,固定板6通过螺杆5与支撑底座2螺纹连接。Optimized: the support base 2 is connected to the buffer tube 4 through the fixed plate 6, and the fixed plate 6 is threadedly connected to the support base 2 through the screw rod 5.

优化的:固定板6与缓冲管4连接处设置有缓冲垫7。Optimized: a buffer pad 7 is provided at the connection between the fixed plate 6 and the buffer tube 4 .

优化的:滑块14顶部固定安装有第一连接杆10,第一连接杆10内设置有第二连接杆11,第二连接杆11与第一连接杆10螺纹连接,锚钉13与第二连接杆11转动连接。Optimized: the first connecting rod 10 is fixedly installed on the top of the slider 14, and a second connecting rod 11 is provided inside the first connecting rod 10. The second connecting rod 11 is threadedly connected to the first connecting rod 10, and the anchor 13 is connected to the second connecting rod 10. The connecting rod 11 is connected by rotation.

优化的:第二连接杆11与锚钉13连接处设置有连接柱12,连接柱12与第二连接杆11转动连接,连接柱12与锚钉13底部螺纹连接。Optimized: A connecting post 12 is provided at the connection between the second connecting rod 11 and the anchor 13. The connecting post 12 is rotationally connected to the second connecting rod 11, and the connecting post 12 is threadedly connected to the bottom of the anchor 13.

优化的:还包括有车辆检测器和温度传感器,所述车辆检测器和温度传感器安装于所述隧道本体1的内侧顶部。Optimized: It also includes a vehicle detector and a temperature sensor, which are installed on the inner top of the tunnel body 1 .

本发明具有如下优点:The invention has the following advantages:

优点1:本发明的隧道长期沉降变形-时间的预测方法,能够监测由多个结构段组成的具有超长线性结构的隧道,测量结果精确度高,且适用范围广。Advantage 1: The long-term tunnel settlement deformation-time prediction method of the present invention can monitor tunnels with ultra-long linear structures composed of multiple structural segments. The measurement results are highly accurate and have a wide range of applications.

优点2:本发明设计合理,将支撑底座固定于地面,锚钉嵌入隧道本体顶部的监测点,当隧道拱顶下降时,锚钉下移,带动滑块下移,距离传感器发射端与接收端之间的相对位置的改变,会产生相应的信号传递至距离传感器内,距离传感器通过Zigbee无线自组网络发送到数据采集模块;。Advantage 2: The invention has a reasonable design. The support base is fixed to the ground, and the anchor is embedded in the monitoring point on the top of the tunnel body. When the tunnel vault drops, the anchor moves downward, driving the slider to move downward, and the distance between the transmitting end and the receiving end of the sensor. Changes in the relative position between them will generate corresponding signals and transmit them to the distance sensor. The distance sensor sends them to the data acquisition module through the Zigbee wireless ad hoc network;

附图说明Description of the drawings

图1是本发明的隧道沉降变形预测系统的电子模块结构示意图;Figure 1 is a schematic structural diagram of the electronic module of the tunnel settlement deformation prediction system of the present invention;

图2是本发明的结构示意图;Figure 2 is a schematic structural diagram of the present invention;

图3是支撑底座的结构示意图;Figure 3 is a schematic structural diagram of the support base;

图4是本发明的局部结构示意图;Figure 4 is a partial structural diagram of the present invention;

图5是图4中A-A剖视图;Figure 5 is a cross-sectional view of A-A in Figure 4;

图6是图5中I处局部放大示意图。Figure 6 is a partially enlarged schematic diagram of position I in Figure 5.

其中:1、隧道本体,2、支撑底座;3、连接座;4、缓冲管;5、螺杆;6、固定板;7、缓冲垫;8、距离传感器;9、距离传感器发生端;10、第一连接杆;11、第二连接杆;12、连接柱;13、锚钉;14、滑块;15、距离传感器接收端。Among them: 1. Tunnel body, 2. Support base; 3. Connecting seat; 4. Buffer tube; 5. Screw; 6. Fixed plate; 7. Buffer pad; 8. Distance sensor; 9. Distance sensor generating end; 10. First connecting rod; 11. Second connecting rod; 12. Connecting column; 13. Anchor; 14. Slider; 15. Distance sensor receiving end.

具体实施方式Detailed ways

下面将结合附图1-图5对本发明进行详细说明,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The present invention will be described in detail below with reference to the accompanying drawings 1-5, and the technical solutions in the embodiments of the present invention will be described clearly and completely. Obviously, the described embodiments are only some embodiments of the present invention, rather than all implementations. example. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

一种隧道沉降变形预测方法,包括以下步骤:A method for predicting tunnel settlement deformation, including the following steps:

步骤1:选择监测点,预设沉降变形特征研究装置;Step 1: Select monitoring points and preset settlement deformation characteristics research device;

根据隧道的工程地质情况,进行多排及多层的沉降理论计算,得到沉降变形计算曲线,选取沉降变形计算曲线的反弯点及陡降段,作为监测点A;同时,选取任意两个相邻的结构段之间的结构缝的中心线处,作为监测点B;在监测点A和监测点B两处均设置沉降变形特征研究装置,形成多监测线路;According to the engineering geological conditions of the tunnel, multi-row and multi-layer settlement theoretical calculations are performed to obtain the settlement deformation calculation curve. The inverse bending point and steep drop section of the settlement deformation calculation curve are selected as monitoring point A; at the same time, any two phases are selected. The center line of the structural joint between adjacent structural segments is used as monitoring point B; settlement deformation characteristics research devices are installed at both monitoring point A and monitoring point B to form multiple monitoring lines;

步骤2:预测系统初始化设置;Step 2: Prediction system initialization settings;

预测系统包括有设备模块和电子模块,设备模块包括有沉降变形特征研究装置,电子模块包括有控制器CPU;预测系统以读取管理文件的方式定义监测周期、监测点A和监测点B的采样周期,以读取数据文件的方式获取监测点A和监测点B的初始绝对位置数值;所有预测系统内部变量、监测点A和监测点B控制状态复位;The prediction system includes an equipment module and an electronic module. The equipment module includes a settlement deformation characteristic research device, and the electronic module includes a controller CPU. The prediction system defines the monitoring period, monitoring point A and monitoring point B sampling by reading management files. Period, obtain the initial absolute position values of monitoring point A and monitoring point B by reading data files; all internal variables of the prediction system, monitoring point A and monitoring point B control status are reset;

步骤3:预测系统进行沉降变形自动监测;Step 3: The prediction system performs automatic monitoring of settlement deformation;

预测系统控制沉降变形特征研究装置中的距离传感器、车辆检测器和温度传感器分别工作,预测系统根据距离传感器采集的信息计算出监测点A和监测点B的沉降值;根据车辆检测器采集的信息计算出隧道的车流量;根据温度传感器采集的信息计算出隧道各处的温度值;距离传感器、车辆检测器和温度传感器分别自带电源,在无人值守情况下自动采集相关信息,通过Zigbee无线自组网络发送到数据采集模块;The prediction system controls the distance sensor, vehicle detector and temperature sensor in the settlement deformation characteristics research device to work respectively. The prediction system calculates the settlement values of monitoring point A and monitoring point B based on the information collected by the distance sensor; based on the information collected by the vehicle detector Calculate the traffic flow in the tunnel; calculate the temperature values in various parts of the tunnel based on the information collected by the temperature sensor; the distance sensor, vehicle detector and temperature sensor each have their own power supply, and automatically collect relevant information under unattended conditions, and use Zigbee wireless The self-organizing network is sent to the data acquisition module;

步骤4:控制器CPU分析处理监测数据;Step 4: The controller CPU analyzes and processes the monitoring data;

数据采集模块在无人值守情况下,自动无线接收来自各距离传感器、车辆检测器和温度传感器的监测数据,并将监测数据发送给控制器CPU,控制器CPU将监测数据发送给数据计算模块、数据分析处理模块和SD-RAM存储模块;数据计算模块和数据分析处理模块解译处理后重新封装,将重新封装的监测数据发送给控制器CPU;控制器CPU按照TCP/IP协议格式发送给云服务器;The data acquisition module automatically and wirelessly receives monitoring data from various distance sensors, vehicle detectors and temperature sensors when unattended, and sends the monitoring data to the controller CPU. The controller CPU sends the monitoring data to the data calculation module, Data analysis and processing module and SD-RAM storage module; the data calculation module and data analysis and processing module interpret and process and then re-encapsulate, and send the re-encapsulated monitoring data to the controller CPU; the controller CPU sends it to the cloud according to the TCP/IP protocol format server;

步骤5:云服务器建立实际沉降变形曲线,生成预测沉降变形曲线;Step 5: The cloud server establishes the actual settlement deformation curve and generates the predicted settlement deformation curve;

云服务器在线完成隧道沉降变形监测数据的接收、存储、处理分析,根据沉降值、车流量、温度值和监测时间,建立该断面的实际沉降变形曲线,并根据实际沉降变形曲线,预测后期一段时间内的预测沉降变形曲线;再通过GPRS/4G/5G无线通讯网络,按照TCP/IP协议格式,将预测沉降变形曲线数据发送给控制器CPU,控制器CPU将预测沉降变形曲线数据发送给预警监测模块,预警监测模块实时进行预警监测。The cloud server completes the reception, storage, processing and analysis of tunnel settlement deformation monitoring data online. Based on the settlement value, traffic flow, temperature value and monitoring time, the actual settlement deformation curve of the section is established, and based on the actual settlement deformation curve, a period of time is predicted in the later period. The predicted settlement deformation curve within the system is then sent to the controller CPU through the GPRS/4G/5G wireless communication network and in accordance with the TCP/IP protocol format, and the controller CPU sends the predicted settlement deformation curve data to the early warning monitoring module, the early warning monitoring module performs early warning monitoring in real time.

控制器CPU的型号为S3C2440微处理器;The controller CPU model is S3C2440 microprocessor;

控制器CPU内部分别连接于数据分析处理模块、数据计算模块、SD-RAM存储模块、预警监测模块和时钟模块;The controller CPU is internally connected to the data analysis and processing module, data calculation module, SD-RAM storage module, early warning monitoring module and clock module;

控制器CPU外部分别连接于RS485串接口、USB接口、数字I/O接口、电源模块、复位电路、外设设备接口和数据采集模块;其中,USB接口连接于外设数据接口;数据采集模块经由Zigbee无线自组网络连接于距离传感器、车辆检测器和温度传感器。The controller CPU is externally connected to the RS485 serial interface, USB interface, digital I/O interface, power module, reset circuit, peripheral device interface and data acquisition module; among them, the USB interface is connected to the peripheral data interface; the data acquisition module is connected via Zigbee wireless self-organizing network connects distance sensors, vehicle detectors and temperature sensors.

沉降变形特征研究装置,隧道本体1内设置有与地面固定安装的支撑底座2,隧道本体1顶部设置有减缓冲击的缓冲管4,缓冲管4顶部设置有连接座3,连接座3远缓冲管4端固定安装有距离传感器8,距离传感器8侧面设置有显示器,距离传感器8侧面滑动连接有滑块14,滑块14远位移下端面安装有距离传感器发射端9,距离传感器8底部安装有距离传感器接收端15,滑块14顶部设置有与隧道本体1顶部保持固定的锚钉13。Settlement deformation characteristics research device, the tunnel body 1 is provided with a support base 2 fixedly installed on the ground, the top of the tunnel body 1 is provided with a buffer tube 4 to slow down the impact, the top of the buffer tube 4 is provided with a connecting seat 3, the connecting seat 3 is far away from the buffer tube A distance sensor 8 is fixedly installed at the 4 ends, and a display is provided on the side of the distance sensor 8. A slider 14 is slidingly connected to the side of the distance sensor 8. A distance sensor transmitter 9 is installed on the lower end of the distance sensor 8, and a distance sensor 8 is installed at the bottom. The sensor receiving end 15 and the top of the slider 14 are provided with anchors 13 that are fixed to the top of the tunnel body 1 .

实施时,将支撑底座2固定于地面,锚钉13嵌入隧道本体1顶部的监测点,当隧道拱顶下降时,锚钉13下移,带动滑块14下移,距离传感器发射端9与距离传感器接收端15之间的相对位置的改变,会产生相应的信号传递至距离传感器8内,距离传感器8距离传感器通过Zigbee无线自组网络发送到数据采集模块。During implementation, the support base 2 is fixed to the ground, and the anchor 13 is embedded in the monitoring point on the top of the tunnel body 1. When the tunnel vault drops, the anchor 13 moves downward, driving the slider 14 to move downward, and the distance between the sensor transmitting end 9 and the The change in the relative position between the sensor receiving ends 15 will generate a corresponding signal and transmit it to the distance sensor 8. The distance sensor 8 sends it to the data collection module through the Zigbee wireless ad hoc network.

沉降变形特征研究装置还包括有车辆检测器和温度传感器,所述车辆检测器和温度传感器安装于所述隧道本体1的内侧顶部。The settlement deformation characteristics research device also includes a vehicle detector and a temperature sensor. The vehicle detector and temperature sensor are installed on the inner top of the tunnel body 1 .

支撑底座2通过固定板6与缓冲管4连接,固定板6通过螺杆5与支撑底座2螺纹连接,此设置的目的在于,转动螺杆5,固定板6竖直滑动,便于调节固定板6高度。The support base 2 is connected to the buffer tube 4 through a fixed plate 6, and the fixed plate 6 is threadedly connected to the support base 2 through a screw rod 5. The purpose of this arrangement is to rotate the screw rod 5 and the fixed plate 6 to slide vertically, making it easy to adjust the height of the fixed plate 6.

固定板6与缓冲管4连接处设置有缓冲垫7,此设置的目的在于,进一步减缓冲击,提高装置的稳定性。A buffer pad 7 is provided at the connection between the fixed plate 6 and the buffer tube 4. The purpose of this arrangement is to further slow down the impact and improve the stability of the device.

滑块14顶部固定安装有第一连接杆10,第一连接杆10内设置有第二连接杆11,第二连接杆11与第一连接杆10螺纹连接,锚钉13与第二连接杆11转动连接,此设置的目的在于,转动第二连接杆11,第二连接杆11相对第一连接杆10竖直滑动,便于调节锚钉13的高度,以适用于隧道的不同高度的监测点。A first connecting rod 10 is fixedly installed on the top of the slider 14. A second connecting rod 11 is provided inside the first connecting rod 10. The second connecting rod 11 is threadedly connected to the first connecting rod 10. The anchor 13 is connected to the second connecting rod 11. Rotating connection, the purpose of this setting is to rotate the second connecting rod 11 and slide vertically relative to the first connecting rod 10 to facilitate adjustment of the height of the anchor 13 to be suitable for monitoring points of different heights in the tunnel.

第二连接杆11与锚钉13连接处设置有连接柱12,连接柱12与第二连接杆11转动连接,连接柱12与锚钉13底部螺纹连接,此设置的目的在于,拧动连接柱12,可将锚钉13与连接柱12分离与连接,便于拆卸安装。A connecting column 12 is provided at the connection between the second connecting rod 11 and the anchor 13. The connecting column 12 is rotationally connected to the second connecting rod 11. The connecting column 12 is threadedly connected to the bottom of the anchor 13. The purpose of this arrangement is to twist the connecting column. 12. The anchor 13 and the connecting column 12 can be separated and connected to facilitate disassembly and installation.

对所公开的实施例的上述说明,使本领域专业技术人员能够实现或使用本发明。对这些实施例的多种修改对本领域的专业技术人员来说将是显而易见的,本文中所定义的一般原理可以在不脱离本发明的精神或范围的情况下,在其它实施例中实现。因此,本发明将不会被限制于本文所示的这些实施例,而是要符合与本文所公开的原理和新颖特点相一致的最宽的范围。The above description of the disclosed embodiments enables those skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be practiced in other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (2)

1. A tunnel settlement deformation prediction method is characterized in that; a supporting base (2) fixedly installed with the ground is arranged in the tunnel body (1), a buffer tube (4) for buffering impact is arranged at the top of the tunnel body (1), a connecting seat (3) is arranged at the top of the buffer tube (4), a distance sensor (8) is fixedly arranged at the end of the buffer tube (4) far away from the connecting seat (3), a display is arranged on the side face of the distance sensor (8), a sliding block (14) is slidably connected to the side face of the distance sensor (8), a distance sensor transmitting end (9) is arranged at the lower end face of the sliding block (14) in a long-distance displacement mode, a distance sensor receiving end (15) is arranged at the bottom of the distance sensor (8), and an anchor (13) fixedly kept at the top of the tunnel body (1) is arranged at the top of the sliding block (14);
the prediction system controls a distance sensor, a vehicle detector and a temperature sensor in the sedimentation deformation characteristic research device to work respectively, and calculates sedimentation values of a monitoring point A and a monitoring point B according to information acquired by the distance sensor; calculating the traffic flow of the tunnel according to the information acquired by the vehicle detector; calculating the temperature value of each place of the tunnel according to the information acquired by the temperature sensor; the distance sensor, the vehicle detector and the temperature sensor are respectively self-powered, automatically acquire related information under the unattended condition, and send the related information to the data acquisition module through a Zigbee wireless ad hoc network;
the cloud server completes receiving, storing, processing and analyzing of tunnel settlement deformation monitoring data on line, establishes an actual settlement deformation curve of a section according to a settlement value, traffic flow, a temperature value and monitoring time, and predicts a predicted settlement deformation curve in a later period of time according to the actual settlement deformation curve; and then the predicted sedimentation deformation curve data is sent to a controller CPU through a GPRS/4G/5G wireless communication network according to a TCP/IP protocol format, and the controller CPU sends the predicted sedimentation deformation curve data to an early warning and monitoring module, and the early warning and monitoring module performs early warning and monitoring in real time.
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