Tunnel deformation monitoring and analyzing method based on cloud processing technology

Abstract

The application provides a tunnel deformation monitoring analysis method based on cloud processing technology, and belongs to the technical field of tunnel monitoring, which comprises the following steps: determining the shape and spatial position of a current tunnel, and determining the occurrence of surrounding rock along the length direction of the tunnel; drilling a hole at a weak position of the tunnel and fixing a reinforcing rod; determining the stress change of the reinforcing rod through a plurality of sensors around the reinforcing rod; transmitting a detection wave to a receiver located in the surrounding rock of the reinforcing rod, comparing the detection waves received by the receiver, and analyzing the change of the surrounding rock; transmitting a detection signal from a transmitting module located in the tunnel, reflecting the detection signal on the inner wall of the tunnel, receiving the detection signal, and judging the deformation of the tunnel according to the difference of the detection signals received at different times. The tunnel deformation monitoring analysis method based on cloud processing technology provided by the application effectively and reliably monitors the tunnel on the basis of avoiding tunnel deformation, and has reliable data and strong reference significance.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of tunnel monitoring, more particularly, to a tunnel deformation monitoring and analyzing method based on cloud processing technology. BACKGROUND

[0002] Tunnel is an engineering structure buried in surrounding rock, which is a form of human utilization of underground space. However, in the design reference period of one hundred years, the tunnel structure often deforms greatly due to the influence of factors such as uneven settlement of foundation, long-term bearing of dynamic load, shrinkage and creep of concrete, thereby increasing the risk of major disasters of the tunnel.

[0003] At present, the deformation of the tunnel is monitored by distributed optical fiber or by laser scanning technology, but it should be pointed out that the above-mentioned measurement methods can only monitor when the tunnel has deformed to a certain extent, but the reality is that once the tunnel deforms, danger will follow, that is, the existing methods have a certain lag, therefore, the current situation of the tunnel cannot be monitored in real time and effectively, and the reasons for the possible deformation of the tunnel cannot be analyzed, which leads to poor reference significance of the generated data. SUMMARY

[0004] The purpose of the present application is to provide a tunnel deformation monitoring and analyzing method based on cloud processing technology, which aims to solve the problem that the tunnel cannot be effectively and reliably monitored in time, and the reasons for the possible deformation of the tunnel cannot be analyzed.

[0005] To achieve the above-mentioned purpose, the technical solution adopted by the present application is to provide a tunnel deformation monitoring and analyzing method based on cloud processing technology, comprising:

[0006] determining the shape and spatial position of the current tunnel, and determining the occurrence of the surrounding rock along the length direction of the tunnel;

[0007] inferred from the known data, the stress state of the tunnel is determined, a hole is drilled at the weak position of the tunnel and a reinforcing rod is fixed;

[0008] the stress change of the reinforcing rod is determined by a plurality of sensors around the reinforcing rod;

[0009] a detection wave is emitted to the receiver located in the surrounding rock of the reinforcing rod, the detection wave received by the receiver is compared, and the change of the surrounding rock is analyzed;

[0010] a detection signal is emitted by the emitting module located in the tunnel of the reinforcing rod, the detection signal is reflected by the inner wall of the tunnel and is received, and the deformation of the tunnel is judged according to the difference of the detection signal received at different times.

[0011] In a possible implementation, the determining the shape and the spatial position of the current tunnel comprises:

[0012] The kind and the distribution of the surrounding rock are determined, and the depth of the tunnel and the stratum condition of the periphery of the tunnel are determined.

[0013] In a possible implementation, the determining the occurrence of the surrounding rock along the length direction of the tunnel comprises:

[0014] The quality distribution of the surrounding rock along the length direction of the tunnel is determined.

[0015] In a possible implementation, the inferring the stress state of the tunnel according to the known data comprises:

[0016] A model of the tunnel is constructed, and corresponding parameters are set on the outside of the tunnel according to the actual condition of the surrounding rock, so that the stress state of the tunnel is close to the actual condition.

[0017] In a possible implementation, the drilling a hole at the weak position of the tunnel and fixing a reinforcing rod comprises:

[0018] The position of the model with greater stress is determined, and a spiral hole is drilled in the corresponding area of the tunnel, so that the reinforcing rod is screwed into the spiral hole.

[0019] In a possible implementation, after the reinforcing rod is screwed into the spiral hole, the method further comprises:

[0020] A curing agent is injected between the reinforcing rod and the inner wall of the spiral hole through a drainage hole opened on the reinforcing rod, and the reinforcing rod and the surrounding rock are integrated into a structure through the curing agent.

[0021] In a possible implementation, the determining the stress change of the reinforcing rod through the plurality of sensors on the circumference of the reinforcing rod comprises:

[0022] The data detected by the sensors are uploaded in real time, the stress change of the reinforcing rod and the influence degree on the shape of the tunnel are determined.

[0023] In a possible implementation, the transmitting a detection wave to the receiver located in the surrounding rock and comparing the detection wave received by the receiver comprises:

[0024] A transmitter is arranged in the inside of the tunnel, the current position of the transmitter is recorded, and the detection wave is transmitted to the receiver located at the end of the reinforcing rod through the transmitter;

[0025] Comparing the probe wave received by the receiver at the current time with a standard; comparing the probe waves received by the receiver at different times.

[0026] In a possible implementation, the comparing the probe wave received by the receiver at the current time with a standard; comparing the probe waves received by the receiver at different times comprises:

[0027] According to the comparison result, the cause of the difference is analyzed, and corresponding verification is performed.

[0028] In a possible implementation, the probe signal is emitted by the emission module located inside the tunnel.

[0029] The emission module can rotate by multiple angles relative to the reinforcing rod, and the emitted probe signal is received by the emission module and uploaded to an upper computer.

[0030] By changing the angle of the emission module, the probe signal is reflected at different positions of the tunnel inner wall and is received.

[0031] The tunnel deformation monitoring and analysis method based on cloud processing technology has the beneficial effects that, compared with the prior art, the tunnel current shape and spatial position are determined in the tunnel deformation monitoring and analysis method based on cloud processing technology, the occurrence of the surrounding rock in the length direction of the tunnel is determined, the stress state of the tunnel is inferred according to the known data, the weak position of the tunnel is judged according to the stress state, the reinforcing rod is fixed by drilling a hole at the weak position of the tunnel.

[0032] The multiple sensors arranged in the circumferential direction of the reinforcing rod can determine the stress change of the reinforcing rod. The probe wave is emitted to the receiver located in the surrounding rock by the emission module on the reinforcing rod. The change of the surrounding rock is analyzed by comparing the probe wave received by the receiver. The deformation of the tunnel is determined by the reflected probe signal.

[0033] In the application, the weak position of the tunnel can be reinforced, and the deformation of the surrounding rock and the tunnel can be effectively monitored. Therefore, the tunnel is effectively and reliably monitored on the basis of avoiding tunnel deformation, the data is reliable, and the reference significance is strong. BRIEF DESCRIPTION OF DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without any creative effort.

[0035] Figure 1 The flow chart of the tunnel deformation monitoring and analyzing method based on cloud processing technology provided by the embodiments of the present application. DETAILED DESCRIPTION

[0036] In order to make the technical problems to be solved by the present application, technical solutions and beneficial effects more clearly, the following will further describe the present application in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0037] Please refer to Figure 1 The tunnel deformation monitoring and analyzing method based on cloud processing technology provided by the present application will be described. The tunnel deformation monitoring and analyzing method based on cloud processing technology comprises:

[0038] The shape and spatial position of the current tunnel are determined, and the occurrence of the surrounding rock along the length direction of the tunnel is determined.

[0039] The stress state of the tunnel is inferred according to the known data, a hole is drilled at the weak position of the tunnel and a reinforcing rod is fixed;

[0040] The stress change of the reinforcing rod is determined through the multiple sensors around the reinforcing rod.

[0041] The probe wave is transmitted to the receiver located in the surrounding rock of the reinforcing rod, and the probe wave received by the receiver is compared to analyze the change of the surrounding rock.

[0042] The probe signal is emitted by the transmitting module located in the tunnel of the reinforcing rod, the probe signal is reflected by the inner wall of the tunnel and is received, and the deformation of the tunnel is judged according to the difference of the probe signal received at different times.

[0043] The tunnel deformation monitoring and analyzing method based on cloud processing technology provided by the present application has the beneficial effects that, compared with the prior art, in the tunnel deformation monitoring and analyzing method based on cloud processing technology of the present application, the current shape and spatial position of the tunnel are first determined, and the occurrence of the surrounding rock along the length direction of the tunnel is determined, the stress state of the tunnel is inferred according to the known data, the weak position of the tunnel is judged according to the stress state, and a hole is drilled at the weak position of the tunnel and a reinforcing rod is fixed.

[0044] The plurality of sensors arranged circumferentially along the reinforcing rod can determine the stress change of the current reinforcing rod. The probe wave is emitted by the receiver where the reinforcing rod is located in the surrounding rock, and the change of the surrounding rock is analyzed by comparing the probe waves received by the receiver. The probe signal is emitted by the transmitting module on the reinforcing rod, and the probe signal is received after being emitted on the inner wall of the tunnel. The deformation of the tunnel can be determined by the reflected probe signal.

[0045] In the present application, the weak position of the tunnel can be strengthened, and the deformation of the surrounding rock and the tunnel can be effectively monitored. Therefore, on the basis of avoiding the deformation of the tunnel, the tunnel is effectively and reliably monitored, the data is reliable, and the reference significance is strong.

[0046] China is in a period of large-scale infrastructure construction, and a large number of deep-buried and long tunnels are emerging in the fields of transportation, national defense, water conservancy, etc. In the process of tunnel construction, the mechanical properties of the surrounding rock in front of the tunnel excavation face change constantly. It is of great significance to predict the deformation characteristics and development trend of the surrounding rock in advance, obtain the displacement information of the surrounding rock in each deformation stage in front of the tunnel excavation face, and take advanced pretreatment construction measures to fully mobilize the self-bearing capacity of the surrounding rock, save investment, and avoid risks.

[0047] At present, in the field of geotechnical engineering monitoring technology, especially the technical methods related to tunnel engineering construction period monitoring, the main methods include ground soil settlement monitoring technology, soil inclinometer technology, ground settlement monitoring technology, etc. The instruments and equipment mainly include settlement meters, inclinometers, total stations, levels, etc. These technical methods all have the characteristics of point measurement, and the measurement points are sparse, which makes it difficult to realize the all-around monitoring of the measured object. Most of the conventional monitoring technologies still cannot realize real-time monitoring, and the sensing principles are various, the data types are diverse, and it is difficult to integrate a large-scale real-time monitoring system. Therefore, it is necessary to develop new types of surrounding rock deformation advanced real-time monitoring methods and technologies suitable for tunnel engineering to meet the increasing requirements of tunnel construction safety monitoring and theoretical research.

[0048] The traditional method of tunnel deformation monitoring is to pre-bury several deformation monitoring points at the arch of the tunnel and on both sides of the tunnel every certain distance, and to measure the change of the elevation of the monitoring points on the arch as the settlement of the arch of the tunnel by using a total station or a level, and to measure the change of the distance between two deformation monitoring points as the convergence deformation of the tunnel in the direction of the line connecting the two points by using a total station or a convergence meter.

[0049] The three-dimensional laser scanner can automatically and quickly obtain high-density point cloud data of the surface of the target object, and the measurement accuracy reaches millimeter level, which is a new tunnel deformation monitoring method. In the use of three-dimensional laser scanning technology for tunnel deformation monitoring, the point cloud of the inner surface of the target mileage section of the tunnel is obtained by using a three-dimensional laser scanner, and then the point cloud is processed and analyzed.

[0050] In actual application, the data processing software is used to cut a point cloud of a certain thickness at a specified mileage along the longitudinal direction of the tunnel and perpendicular to the tunnel central axis, project the cut point cloud on a plane perpendicular to the central axis at the specified mileage, fit the obtained projection to obtain a profile line of the projection as a tunnel section profile line at the specified mileage, and calculate the difference between the tunnel section profile lines at different periods as the tunnel deformation at the specified mileage.

[0051] The data processing software is used to construct a triangular mesh model of the point cloud of the tunnel inner surface, cut a section at a specified mileage perpendicular to the tunnel central axis, and further obtain a profile line of the triangular mesh model on the section at the specified mileage, calculate the difference between the profile lines at the same section at different periods as the tunnel deformation at the specified mileage.

[0052] However, the traditional method has a small number of deformation monitoring points, cannot perform overall tunnel deformation analysis, the tunnel convergence deformation is monitored by reflecting the tunnel contraction or expansion deformation through the distance change between two monitoring points, cannot accurately reflect the change amount of the tunnel in the radial direction toward the section center, has a poor tunnel working environment, causes large measurement error and low operation efficiency, and the information feedback form is mainly a digital table and a curve graph, and the visualization effect is poor.

[0053] In some embodiments of the tunnel deformation monitoring and analysis method based on the cloud processing technology provided in the application, determining the shape and spatial position of the current tunnel comprises:

[0054] Determining the type and distribution of the surrounding rock, the depth of the tunnel, and the stratum condition around the tunnel.

[0055] In order to accurately predict the possible deformation of the tunnel, it is necessary to correctly determine the state between the tunnel and the surrounding rock. Because the root cause of the tunnel deformation is that the acting force on the outer layer of the tunnel exceeds the maximum bearing load, the tunnel deformation occurs.

[0056] If the surrounding rock of the tunnel can be analyzed and simulated in advance, the position where the tunnel may deform can be determined, so that reasonable prediction can be made before the tunnel actually deforms, and certain measures can be taken in advance, thereby ensuring the safety of property and personnel.

[0057] In order to achieve the above technical effects, first, the structure of the current tunnel can be determined by scanning, and the above scanning can integrate the shape of the whole tunnel by means of laser scanning or design drawings. After the above situation is determined, the mutual position relationship between the current surrounding rock and the ground object outside the surrounding rock or even above the tunnel needs to be determined, and the quality and the like are judged accordingly, so as to determine the influence on the tunnel deformation.

[0058] In some embodiments of the tunnel deformation monitoring and analysis method based on cloud processing technology provided in the application, determining the occurrence of the surrounding rock along the length direction of the tunnel comprises:

[0059] Determining the quality distribution of the surrounding rock along the length direction of the tunnel.

[0060] The occurrence of the surrounding rock is the state and position of the space output of the surrounding rock, and the occurrence is usually represented by three elements of occurrence, including the strike, tendency and dip angle of the surrounding rock. The intersection line of the surrounding rock surface and the horizontal plane or the horizontal line on the surrounding rock surface is the strike line of the surrounding rock, and the direction indicated by the two ends of the strike line is the strike of the surrounding rock, which can be represented by two azimuth angles that differ by 180°. The straight line along the inclined layer surface downward is the inclined line of the surrounding rock, and the inclined direction of the horizontal projection line of the inclined line is the tendency of the surrounding rock, and the strike and the tendency differ by 90°. The angle between the inclined line of the surrounding rock and its horizontal projection line is the dip angle of the surrounding rock.

[0061] In the fields of traffic, water and electricity, mines and the like, the construction amount of tunnel engineering increases year by year, and these tunnel engineering often locates in the area with strong tectonic movement, and the surrounding rock of the tunnel is mostly soft layered rock such as Triassic rock plate, phyllite, schist and sandstone. In the process of tunnel engineering construction, serious deformation disasters of layered surrounding rock often occur, and the rock mass damage phenomenon caused by engineering activities is closely related to the anisotropy characteristics of the mechanical properties of layered rock mass, and such disasters of layered surrounding rock tunnel are closely related to the bedding occurrence and the stress orientation of the layered rock mass.

[0062] Therefore, it is necessary to prevent and control the large deformation of the tunnel surrounding rock. In the current engineering practice, non-discriminatory reinforcement support measures such as anchor rod, steel arch, sprayed concrete and the like are often used, and ordinary cement material grouting reinforcement is also used in some sections. However, although these prevention and control means can inhibit the occurrence of large deformation disasters to a certain extent, they have the disadvantages of low support efficiency and high support cost, and in the extremely complex address conditions of high ground stress, strong unloading and poor surrounding rock integrity, the control effect cannot be good.

[0063] The structure of the current tunnel and the position relative to the ground can be easily determined by design drawings and some existing scanning methods. After the above situation is determined, the structure and strike of the surrounding rock in the tunnel need to be determined.

[0064] It should be noted that the occurrence of the surrounding rock needs to be analyzed and determined along the length direction of the tunnel in the present application, and after the above conditions are determined, deeper detection is performed to determine the position where the tunnel deformation is likely to occur or to determine the position where stress concentration exists in the tunnel.

[0065] In some embodiments of the tunnel deformation monitoring and analysis method based on the cloud processing technology provided in the present application, the stress state of the tunnel is inferred according to known data, which includes:

[0066] The model of the tunnel is constructed, and corresponding parameters are set on the outer side of the tunnel according to the actual situation of the surrounding rock, so that the stress state of the tunnel is close to the actual situation.

[0067] After the model of the entire tunnel and the spatial position are determined, the position where stress concentration is likely to occur in the tunnel can be determined in combination with the current geological data and the like, and the position where stress concentration is likely to occur in the tunnel can be determined according to the application experience of the project.

[0068] In order to further illustrate, the corresponding model can be constructed according to the actually measured tunnel, and after the model is established, it is input into the upper computer, and the stratum situation outside and above the tunnel also needs to be constructed in the upper computer. After the above parameters are set, the type and occurrence of the surrounding rock are determined through actual investigation and collection, and corresponding parameters are set in the upper computer according to the actual detection result. The final purpose is to simulate the real tunnel as much as possible.

[0069] According to the hardness and structural strength of the surrounding rock, corresponding parameters are set in the upper computer, and according to the occurrence, a corresponding model is set in the upper computer to simulate the trend of the surrounding rock. After the above conditions are determined, the position where deformation is most likely to occur in the current model can be determined in the upper computer, and the installation position of the reinforcing rod is finally determined in combination with the simulated position and the engineering practice.

[0070] In some embodiments of the tunnel deformation monitoring and analysis method based on the cloud processing technology provided in the present application, drilling and fixing the reinforcing rod at the weak position of the tunnel include:

[0071] The position where the model is stressed is determined, a spiral hole is drilled in the corresponding area of the tunnel, and the reinforcing rod is screwed into the spiral hole.

[0072] In engineering practice, first, the positioning hole is drilled on the inner wall of the tunnel, it is particularly pointed out that the reinforcing rod in the application is used for detecting the condition of the rock stratum outside the tunnel on the one hand, and is used for strengthening the weak position of the tunnel on the other hand. The length of the reinforcing rod is relatively long, after the reinforcing rod is fixed in the positioning hole, the reinforcing rod will be stabilized to a certain extent, like the anchor rod, and the stability of the tunnel is strengthened.

[0073] It should be noted that in order to ensure the stability of the foundation pit, a plurality of anchor rods need to be installed, but for the tunnel, the more holes drilled, the greater the impact on the stability of the entire tunnel structure. In order to improve the stability of the reinforcing rod relative to the surrounding rock, the outer diameter of the reinforcing rod is larger than that of the anchor rod, and more importantly, a spiral strip is arranged along the length direction of the reinforcing rod. The positioning hole is a spiral hole matched with the pitch of the spiral strip.

[0074] Therefore, the reinforcing rod in the application is screwed with the positioning hole, thereby increasing the stability of the reinforcing rod and the surrounding rock, and the stability function is stronger than that of the anchor rod.

[0075] In some embodiments of the tunnel deformation monitoring and analysis method based on cloud processing technology provided in the application, after the reinforcing rod is screwed into the spiral hole, the method further comprises:

[0076] Through the drainage hole formed on the reinforcing rod, a curing agent is injected between the reinforcing rod and the inner wall of the spiral hole; the reinforcing rod and the surrounding rock are integrated by the curing agent.

[0077] The installation of the reinforcing rod has two functions, one of which is to strengthen the weak position of the tunnel, so that the tunnel will not deform due to excessive stress concentration at that position, that is, the installation of the reinforcing rod relieves the phenomenon of stress concentration. The other is to monitor the surrounding condition of the tunnel.

[0078] In order to stabilize the reinforcing rod in the positioning hole, that is, when the reinforcing rod is positioned in the positioning hole, the reinforcing effect of the reinforcing rod on the surrounding rock is ensured, so it is necessary to avoid the gap between the reinforcing rod and the positioning hole from moving.

[0079] In order to solve the above problems, after the reinforcing rod is completely screwed into the positioning hole, a fixing agent is injected into the gap between the reinforcing rod and the positioning hole through the drainage hole formed on the reinforcing rod. The fixing agent can be a high-strength filling material, or can be replaced by high-strength mortar.

[0080] After the fixing agent is cured, the reinforcing rod and the surrounding rock of the tunnel form an approximately integrated structure, thereby ensuring the stability of the tunnel.

[0081] In some embodiments of the tunnel deformation monitoring analysis method based on the cloud processing technology provided in the application, the stress change of the reinforcing rod is determined by the multiple sensors arranged in the circumferential direction of the reinforcing rod, including:

[0082] The data detected by the sensors is uploaded in real time, the stress change of the reinforcing rod is determined, and the influence degree on the tunnel shape is determined.

[0083] When the curing agent is cured, the reinforcing rod and the surrounding rock of the tunnel become an approximately integrated structure. A plurality of stress sensors are arranged in the length direction of the reinforcing rod. The plurality of stress sensors are arranged in the circumferential direction of the reinforcing rod. The stress change in the surrounding rock at the moment can be determined by the plurality of stress sensors. In actual application, the data fed back by the plurality of stress sensors is transmitted to the upper computer. The upper computer determines the stress condition of the entire surrounding rock at the moment according to the change condition and the change sequence of each stress sensor, so that early warning can be performed.

[0084] In some embodiments of the tunnel deformation monitoring analysis method based on the cloud processing technology provided in the application, the receiver located in the surrounding rock of the reinforcing rod is transmitted with a detection wave, and the detection waves received by the receiver are compared, including:

[0085] The transmitter is arranged in the tunnel, the current position of the transmitter is recorded, and the transmitter transmits a detection wave to the receiver located at the end of the reinforcing rod.

[0086] The detection wave received by the receiver at the current moment is compared with the standard, and the detection waves received by the receiver at different moments are compared.

[0087] A plurality of stress sensors are arranged in the length direction of the reinforcing rod. After the curing agent is injected, the curing agent and the reinforcing rod will not be dislocated due to external forces, so that the reinforcing rod and the surrounding rock become an approximately integrated structure.

[0088] The plurality of sensors are arranged in the circumferential direction of the reinforcing rod. In actual application, when the structure of the external surrounding rock changes, the force of the entire surrounding rock on the reinforcing rod also changes, and finally the value of the sensor changes. Therefore, the stress condition of the tunnel at the moment can be determined by judging the value of the sensor in real time.

[0089] The surrounding rock of the tunnel can be passively detected by the plurality of sensors. In order to more accurately determine the tunnel, a receiver is installed at the end of the reinforcing rod located in the surrounding rock. In actual application, the number of reinforcing rods installed on a tunnel is multiple, and a receiver is installed on each reinforcing rod.

[0090] The transmitter is arranged at different positions inside the tunnel, and the transmitter sends a detection wave to the receiver, and the detection wave is finally received by the receiver through the surrounding rock. If there is a gap in the surrounding rock or there is an object with different densities, the detection wave that can be detected by the receiver will be different from the standard case. By combining the above differences with experience, the surrounding rock between the transmitter and the receiver can be inferred, and the weak point area of the tunnel can be finally judged.

[0091] Since the joint deformation between the two rectangular tunnel segments can intuitively reflect the deformation of the tunnel structure, the joint deformation is usually monitored in engineering to intuitively reflect the condition of the tunnel structure, so as to avoid major disasters. However, there is no special equipment configured in the existing tunnel to monitor the differential settlement deformation of the tunnel. One of the commonly used methods is point monitoring, which requires multiple section operations and is severely restricted by coordinate control points. The monitoring error is large and the operation is cumbersome, and it cannot effectively reflect the displacement change of the whole length of the tunnel, which is not convenient for research.

[0092] In some embodiments of the tunnel deformation monitoring and analysis method based on cloud processing technology provided in the application, the detection wave received by the receiver at the current time is compared with the standard; the detection waves received by the receiver at different times are compared, including:

[0093] According to the comparison result, the difference is analyzed and verified.

[0094] In actual application, when the detector holds the transmitter to send a signal to the receiver on the specific reinforcing rod, it is particularly pointed out that the signal received by the current receiver can be compared with the standard under the same surrounding rock type and occurrence condition, and the difference is judged by comparison. The standard can be determined by consulting relevant materials, or a model with the same parameters as the tunnel surrounding rock can be constructed in the upper computer, and the standard detection wave that can be received under the same distance and position condition can be simulated in the model.

[0095] Another monitoring method is to compare the detection waves received by the receivers at different times and the same positions. If the comparison shows that they are the same, it proves that the tunnel in this area has not changed. If it changes, it is judged that the surrounding rock position between the transmitter and the receiver has changed, and further analysis is needed.

[0096] In some embodiments of the tunnel deformation monitoring and analysis method based on cloud processing technology provided in the application, the detection signal is sent by the transmitting module of the reinforcing rod located inside the tunnel, including:

[0097] The transmitting module can rotate multiple angles relative to the reinforcing rod, and the detection signal sent by the transmitting module is received and uploaded to the upper computer.

[0098] By changing the angle of the emitting module, the detection signal is reflected at different positions of the inner wall of the tunnel and is received.

[0099] In the existing method, the internal structure of the tunnel can be accurately judged in the current time period through some measures such as laser scanning, but the above method is only a judgment at a certain time point, and it is obviously unrealistic to set a laser scanner in the tunnel all the time.

[0100] Therefore, the current practice is more daily inspection, but this leads to the inability to timely and effectively judge the deformation of the tunnel, because the deformation of some tunnels may be completed in a short time, and if the interval between two tunnel monitoring is too long, the influence of the tunnel deformation cannot be handled in time.

[0101] Based on the above problems, the emitting module is installed at the end of the reinforcing rod away from the receiver and at the end inside the tunnel. If the number of reinforcing rods in the tunnel is not large, the corresponding emitting module can be directly fixed at the corresponding position of the tunnel.

[0102] First, the emitting module is directly rotatably installed at the end of the reinforcing rod, and the emitting module has two directions of freedom, that is, the emitting module can rotate around the axis of the reinforcing rod, and the emitting module can rotate around the axis of the connecting shaft connected with the reinforcing rod.

[0103] In the process of daily use, the emitting module emits a detection signal, which needs to be reflected on the inner wall of the tunnel to be received by the current emitting module or another emitting module. If the installation position of the emitting module changes or the inner wall of the tunnel changes, the reflected detection signal that can be received will also be different. If the signals received twice are different, it is determined that the tunnel has deformed.

[0104] In actual application, taking two emitting modules as an example, the spatial positions of the two emitting modules need to be accurately recorded, that is, the spatial positions of the two emitting modules under the current condition need to be recorded after each detection signal is emitted and received.

[0105] By changing the position of the emitting module, different positions of the tunnel can be detected, and when the detection signal is emitted again at the same spatial angle, if the returned detection signal is the same, it is determined that the tunnel has not deformed, and if it is different, it is preliminarily determined that the tunnel has deformed.

[0106] A coating can be applied to the inner wall of the tunnel, the purpose of which is to make the detection signal more easily reflected.

[0107] The above merely preferred embodiments of the present application are not used to limit the present application, any modification, equivalent replacement and improvement etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A tunnel deformation monitoring analysis method based on cloud processing technology, characterized in that, The method comprises the following steps: determining the shape and spatial position of the current tunnel, and determining the occurrence of the surrounding rock along the length direction of the tunnel; inferred from known data the stress state of the tunnel, drilling holes at the weak position of the tunnel and fixing the reinforcing rod; determining the stress change of the reinforcing rod through the multiple sensors around the reinforcing rod; transmitting the detection wave to the receiver of the reinforcing rod located in the surrounding rock, comparing the detection wave received by the receiver, and analyzing the change of the surrounding rock; transmitting the detection signal from the transmitting module of the reinforcing rod located in the tunnel, reflecting the detection signal on the inner wall of the tunnel and receiving it, and judging the deformation of the tunnel according to the difference of the detection signal received at different times.

2. The tunnel deformation monitoring analysis method based on cloud processing technology according to claim 1, wherein, The step of determining the shape and spatial position of the current tunnel comprises the following steps: judging the type and distribution of the surrounding rock, determining the depth of the tunnel and the stratum condition around the tunnel.

3. The tunnel deformation monitoring analysis method based on cloud processing technology according to claim 1, wherein, The step of determining the occurrence of the surrounding rock along the length direction of the tunnel comprises the following steps: determining the mass distribution of the surrounding rock along the length direction of the tunnel.

4. The tunnel deformation monitoring analysis method based on cloud processing technology according to claim 1, wherein, The step of inferring the stress state of the tunnel from known data comprises the following steps: constructing the model of the tunnel, and setting corresponding parameters on the outer side of the tunnel according to the actual condition of the surrounding rock, so that the stress state of the tunnel is close to the actual condition.

5. The tunnel deformation monitoring analysis method based on cloud processing technology according to claim 4, wherein, The step of drilling holes at the weak position of the tunnel and fixing the reinforcing rod comprises the following steps: determining the position of the model with large stress, drilling the spiral hole in the corresponding area of the tunnel, and rotating the reinforcing rod into the spiral hole.

6. The tunnel deformation monitoring analysis method based on cloud processing technology according to claim 5, wherein, After the step of rotating the reinforcing rod into the spiral hole, the method further comprises the following steps: injecting the curing agent between the reinforcing rod and the inner wall of the spiral hole through the drainage hole opened on the reinforcing rod, and making the reinforcing rod and the surrounding rock into an integrated structure through the curing agent.

7. The tunnel deformation monitoring analysis method based on cloud processing technology according to claim 1, wherein, The step of determining the stress change of the reinforcing rod through the multiple sensors around the reinforcing rod comprises the following steps: uploading the data detected by the sensors in real time, judging the stress change of the reinforcing rod and the influence degree on the shape of the tunnel.

8. The tunnel deformation monitoring analysis method based on cloud processing technology according to claim 1, wherein, The step of transmitting the detection wave to the receiver of the reinforcing rod located in the surrounding rock and comparing the detection wave received by the receiver comprises the following steps: setting the transmitter in the tunnel, recording the current position of the transmitter, and transmitting the detection wave to the receiver located at the end of the reinforcing rod through the transmitter; comparing the detection wave received by the receiver at the current time with the standard, and comparing the detection wave received by the receiver at different times.

9. The tunnel deformation monitoring analysis method based on cloud processing technology according to claim 8, wherein, comparing the detection wave received by the receiver at the current time with the standard; The step of comparing the detection wave received by the receiver at different times comprises the following steps: according to the comparison result, analyzing the reason of the difference and performing corresponding verification.

10. The tunnel deformation monitoring analysis method based on cloud processing technology according to claim 1, wherein, The step of transmitting the detection signal from the transmitting module of the reinforcing rod located in the tunnel comprises the following steps: making the transmitting module rotate multiple angles relative to the reinforcing rod, and making the detection signal transmitted by the transmitting module be received by the transmitting module and uploaded to the upper computer. By changing the angle of the emitting module, the detection signal is reflected at different positions of the inner wall of the tunnel and received.

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