Cable tunnel pipe jacking construction method monitoring system based on Internet of Things

Abstract

The invention discloses a cable tunnel pipe-jacking construction method monitoring system based on the Internet of Things, and particularly relates to the field of cable tunnel pipe-jacking construction method monitoring, which comprises a data batch division module, a data acquisition module, a data analysis module, a comprehensive data evaluation module and a real-time feedback module, the data analysis module comprises a pipe-jacking construction environment data analysis unit and a pipe-jacking construction state data analysis unit, and is used for analyzing the data transmitted by the data acquisition module and transmitting an analysis result to the comprehensive data evaluation module; and the comprehensive data evaluation module comprises a cable tunnel pipe jacking construction method monitoring data analysis unit and is used for comprehensively analyzing the data transmitted by the data analysis module and transmitting an analysis result to the real-time feedback module. According to the invention, the related parameters monitored by the cable tunnel pipe-jacking construction method based on the Internet of Things are divided into different batches, so that the monitoring accuracy and timeliness are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cable tunnel pipe jacking method monitoring, and more specifically, to a cable tunnel pipe jacking method monitoring system based on the Internet of Things. Background Art

[0002] With the vigorous development of Internet of Things technology, it provides new ideas and methods for monitoring cable tunnel jacking construction methods. With the help of Internet of Things technology, key information can be mined from a large number of monitoring data, helping to detect potential construction risks in a timely manner, thereby improving the accuracy and timeliness of monitoring.

[0003] The existing cable tunnel jacking method monitoring system mainly includes data acquisition unit, data transmission unit, data analysis unit and data display unit. The data acquisition unit collects data such as humidity, temperature and energy consumption inside the tunnel; the data transmission unit transmits the collected data to the data analysis unit, which screens, classifies and integrates data from different channels to obtain valuable information, and presents it intuitively through the data display unit, so as to detect abnormalities in time, reduce construction risks and accident rates, and ensure the smooth progress and quality safety of the project.

[0004] However, the current monitoring system still has some shortcomings. For example, in terms of data collection, only part of the construction data and equipment data are collected, which makes the collected data limited, thus affecting the integrity of the data source, resulting in one-sided data analysis results, reducing the reliability of the analysis results, and is not conducive to the scientific application and development of the cable tunnel jacking method.

[0005] Therefore, there is an urgent need to provide a cable tunnel jacking method monitoring system based on the Internet of Things to solve the problems of incomplete data collection and inaccurate data analysis results in the existing monitoring system. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a cable tunnel jacking method monitoring system based on the Internet of Things, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0007] To achieve the above object, the present invention provides the following technical solution: a cable tunnel jacking method monitoring system based on the Internet of Things, comprising:

[0008] Data batch division module: used to determine the data to be collected as target data, divide the target data into different batches according to equal time division, and mark them as 1, 2, ..., n in sequence;

[0009] Data acquisition module: including a pipe jacking construction environment data acquisition unit and a pipe jacking construction status data acquisition unit, which are used to acquire target data in real time and transmit the acquired data to the data analysis module; the pipe jacking construction environment data acquisition unit is used to acquire soil physical property data, soil chemical property data and tunnel environment data; the pipe jacking construction status data acquisition unit is used to acquire pipe jacking displacement data and pipe jacking force data;

[0010] Data analysis module: including a pipe jacking construction environment data analysis unit and a pipe jacking construction status data analysis unit, used to analyze the data transmitted by the data acquisition module and transmit the analysis results to the comprehensive data evaluation module;

[0011] Comprehensive data evaluation module: including the cable tunnel jacking method monitoring data analysis unit, which is used to comprehensively analyze the data transmitted by the data analysis module and transmit the analysis results to the real-time feedback module;

[0012] Real-time feedback module: used to establish preset values ​​of cable tunnel pipe jacking construction method monitoring and evaluation index, judge the cable tunnel pipe jacking construction method monitoring and evaluation index value according to the preset values ​​of cable tunnel pipe jacking construction method monitoring and evaluation index, and send corresponding signals according to the judgment results.

[0013] Preferably, the soil physical property data include soil internal friction angle Sa, soil elastic modulus Sm and soil Poisson's ratio Sp; the soil chemical property data include soil redox potential Sr, soil heavy metal content Sc and soil organic matter content So; the tunnel environment data include dust concentration Td in the tunnel, volatile organic matter concentration Tc in the tunnel and noise intensity Tn in the tunnel.

[0014] Preferably, the jacking pipe displacement data includes the jacking pipe horizontal displacement acceleration Ph, the jacking pipe vertical displacement acceleration Pv and the jacking pipe displacement vector direction Pd; the jacking pipe force data includes the jacking pipe bending moment Pj and the jacking pipe tangential stress Ts.

[0015] Preferably, the jacking pipe construction environment data analysis unit includes a soil physical property data analysis node, a soil chemical property data analysis node and a tunnel environment data analysis node; the jacking pipe construction status data analysis unit includes a jacking pipe displacement data analysis node and a jacking pipe force data analysis node.

[0016] Preferably, according to the cable tunnel jacking method monitoring system based on the Internet of Things according to claim 4, the soil physical property data analysis node is used to establish a soil physical property data calculation model, and the soil physical property data transmitted by the data acquisition module is imported into the soil physical property data calculation model to obtain the soil quality coefficient value, and the soil physical property data calculation model is specifically expressed as:

[0017]

[0018] in, Represents the soil quality coefficient value calculated for the i-th time, Sa i represents the soil internal friction angle collected for the i-th time, Sm i represents the soil elastic modulus collected for the i-th time, Sp i represents the soil Poisson’s ratio collected for the i-th time, σ represents the standard deviation of the soil Poisson’s ratio, and μ represents the mean of the soil Poisson’s ratio.

[0019] Preferably, the soil chemical property data analysis node is used to establish a soil chemical property data calculation model, and the soil chemical property data transmitted by the data acquisition module is imported into the soil chemical property data calculation model to obtain the jacking pipe corrosion coefficient value. The soil chemical property data calculation model is specifically expressed as:

[0020]

[0021] Among them, l i Indicates the corrosion coefficient value of the pipe jacking calculated for the i-th time, Sr i represents the soil redox potential collected at the i-th time, Sc i represents the heavy metal content of soil collected for the i-th time, So i Represents the soil organic matter content collected for the i-th time

[0022] Preferably, the tunnel environment data analysis node is used to establish a tunnel environment data calculation model, import the tunnel environment data transmitted by the data acquisition module into the tunnel environment data calculation model, and obtain the tunnel environment quality coefficient value. The tunnel environment data calculation model is specifically expressed as:

[0023]

[0024] Among them, α i represents the tunnel environmental quality coefficient value calculated for the i-th time, Td i represents the dust concentration in the tunnel collected for the i-th time, Tc i represents the concentration of volatile organic compounds in the tunnel collected for the i-th time, Tn i represents the noise intensity in the tunnel collected for the i-th time.

[0025] Preferably, the pipe jacking displacement data analysis node is used to establish a pipe jacking displacement data calculation model, and the pipe jacking displacement data transmitted by the data acquisition module is imported into the pipe jacking displacement data calculation model to obtain the pipe jacking safety fault tolerance coefficient value. The pipe jacking displacement data calculation model is specifically expressed as:

[0026]

[0027] Among them, β i represents the safety tolerance coefficient of the pipe jacking calculated for the i-th time, Ph i Pv is the horizontal displacement acceleration of the top pipe collected for the i-th time, i Pd represents the vertical displacement acceleration of the top pipe collected for the i-th time. i Indicates the direction of the pipe displacement vector collected for the i-th time.

[0028] Preferably, the pipe jacking force data analysis node is used to establish a pipe jacking force data calculation model, and the pipe jacking force data transmitted by the data acquisition module is imported into the pipe jacking force data calculation model to obtain the pipe jacking wear fault tolerance coefficient value. The pipe jacking force data calculation model is specifically expressed as:

[0029]

[0030] Where, represents the wear tolerance coefficient of the jacking pipe calculated for the i-th time, Pj i represents the bending moment of the pipe jacking collected for the i-th time, Ts i represents the tangential stress of the pipe jacking collected for the i-th time.

[0031] Preferably, the cable tunnel jacking method monitoring data analysis unit is used to establish a cable tunnel jacking method monitoring data calculation model, and the soil quality coefficient value, jacking pipe corrosion coefficient value, tunnel environment quality coefficient value, jacking pipe safety fault tolerance coefficient value and jacking pipe wear fault tolerance coefficient value transmitted by the data analysis module are imported into the cable tunnel jacking method monitoring data calculation model to obtain the cable tunnel jacking method monitoring evaluation index value. The cable tunnel jacking method monitoring data calculation model is specifically expressed as:

[0032]

[0033] Where M represents the calculated monitoring and evaluation index value of the cable tunnel jacking method, represents the soil quality coefficient value calculated for the i-th time, l i Indicates the corrosion coefficient value of the pipe jacking calculated for the i-th time, α i represents the tunnel environmental quality coefficient value calculated for the i-th time, β i represents the safety tolerance coefficient of the pipe jacking calculated for the i-th time, β min Indicates the minimum value of the calculated safety tolerance factor for pipe jacking, β max Indicates the maximum value of the calculated safety tolerance factor of pipe jacking, η i represents the wear tolerance coefficient of the jacking pipe calculated for the i-th time, η min Indicates the minimum value of the calculated wear tolerance coefficient of the jacking pipe, η max Indicates the calculated maximum value of the jacking pipe wear tolerance coefficient; i means starting from the i-th number, and n means ending at the n-th number.

[0034] Technical effects and advantages of the present invention:

[0035] 1. The present invention divides the relevant parameters of the cable tunnel jacking method monitoring based on the Internet of Things into batches, which effectively improves the accuracy and timeliness of monitoring. By collecting soil physical property data, soil chemical property data, tunnel environment data, jacking displacement data and jacking force data in multiple dimensions, this diversified data collection method reduces the singleness of traditional data collection and provides a rich and reliable information basis for subsequent data analysis;

[0036] 2. The present invention conducts in-depth mining of the collected data through data analysis, and then calculates the soil quality coefficient value, the jacking pipe corrosion coefficient value, the tunnel environmental quality coefficient value, the jacking pipe safety fault tolerance coefficient value, and the jacking pipe wear fault tolerance coefficient value, and clearly points out the possible problems. By comprehensively considering and deeply integrating the results of data analysis, the reliability and accuracy of the analysis results are significantly improved;

[0037] 3. The present invention continuously follows up through real-time monitoring. Once an abnormal situation is found, a warning signal is immediately issued. Relevant technical personnel and managers can quickly understand the dynamic situation and potential problems of the cable tunnel jacking method, and take timely measures to adjust and optimize the jacking construction plan, so as to provide strong support for the efficient and accurate monitoring of the cable tunnel jacking method based on the Internet of Things and scientific and reasonable decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] As attached Figure 1 The cable tunnel jacking method monitoring system based on the Internet of Things shown includes a system operation database, a system central processor and a user information terminal, and also includes a data batch division module, a data acquisition module, a data analysis module, a comprehensive data evaluation module, and a real-time feedback module.

[0041] The system operation database includes all data texts of the cable tunnel jacking method monitoring system based on the Internet of Things, and collects the information text output by each module in real time. The system central processor is used to control the information text instructions output by each module, and the user information terminal is an information output device for receiving the cable tunnel jacking method monitoring system.

[0042] The data batch division module is used to determine the data to be collected as target data, divide the target data into different batches in an equal time division manner, and mark them as 1, 2, ..., n in sequence.

[0043] In this embodiment, it is specifically necessary to explain that: the method of dividing by equal time is to divide the database according to the characteristics of each target data through the background system running the database. According to the real-time requirements of each target data, it is collected once at an equal interval and divided into different collection times.

[0044] The data acquisition module includes a pipe jacking construction environment data acquisition unit and a pipe jacking construction status data acquisition unit, which are used to acquire target data in real time and transmit the acquired data to the data analysis module; the pipe jacking construction environment data acquisition unit is used to acquire soil physical property data, soil chemical property data and tunnel environment data; the pipe jacking construction status data acquisition unit is used to acquire pipe jacking displacement data and pipe jacking force data.

[0045] In this embodiment, it is specifically necessary to explain that: the soil physical property data include soil internal friction angle Sa, soil elastic modulus Sm and soil Poisson's ratio Sp; the soil chemical property data include soil redox potential Sr, soil heavy metal content Sc and soil organic matter content So; the tunnel environment data include dust concentration Td in the tunnel, volatile organic matter concentration Tc in the tunnel and noise intensity Tn in the tunnel; the jacking pipe displacement data include jacking pipe horizontal displacement acceleration Ph, jacking pipe vertical displacement acceleration Pv and jacking pipe displacement vector direction Pd; the jacking pipe force data include jacking pipe bending moment Pj and jacking pipe tangential stress Ts.

[0046] The soil internal friction angle is an important indicator to measure the shear strength of the soil. In pipe jacking construction, it is directly related to the stability of the soil around the pipe jacking. A larger internal friction angle means that the soil is more resistant to shear deformation when subjected to external forces, thereby reducing the risk of soil collapse around the pipe jacking. In addition, the internal friction angle will also affect the size and distribution of soil pressure, which in turn affects the calculation of the resistance and jacking force of the pipe jacking, providing accurate mechanical parameters for pipe jacking construction. The collection method is: select representative soil samples at the construction site through on-site direct shear tests, directly apply horizontal and vertical loads on the direct shear instrument, measure the shear displacement and shear strength of the soil, and finally determine the internal friction angle.

[0047] The soil elastic modulus reflects the elastic deformation characteristics of the soil when subjected to stress. During the pipe jacking construction process, it plays a key role in predicting the deformation of the soil and the distribution of soil pressure on the pipe jacking. When the pipe jacking moves forward, it will squeeze and disturb the surrounding soil. The elastic modulus of the soil determines the size and propagation range of this deformation. If the elastic modulus is small, the soil is prone to large deformation, which may cause the pipe jacking to deviate or the surrounding ground to settle; conversely, a larger elastic modulus means that the soil deformation is small and the stability of the pipe jacking construction is higher. In addition, the elastic modulus can also be used to calculate the rebound of the soil and provide a reference for ground recovery after the pipe jacking construction. The collection method is: loading and unloading soil samples under different confining pressures, and measuring the axial strain and lateral strain of the soil at different stress levels. According to the stress-strain relationship curve, the elastic modulus of the soil can be obtained by calculation.

[0048] The soil Poisson's ratio describes the relationship between the lateral deformation and the longitudinal deformation of the soil. In pipe jacking construction, it is of great significance for analyzing the deformation mode and stress distribution of the soil under a three-dimensional stress state. When the pipe jacking applies pressure to the soil, the soil will not only deform longitudinally in the jacking direction, but also deform transversely perpendicular to the jacking direction. The size of the Poisson's ratio determines the proportional relationship between the transverse deformation and the longitudinal deformation. By understanding the Poisson's ratio, the soil deformation and ground settlement caused by pipe jacking construction can be more accurately predicted, providing a basis for taking corresponding control measures. In addition, the Poisson's ratio will also affect the calculation of soil pressure and the analysis of soil stability, and is of great value to the safety assessment of pipe jacking construction. The collection method is: in an indoor triaxial test or consolidation test, the axial strain and lateral strain of the soil are measured simultaneously, and then the Poisson's ratio is calculated according to the definition of the Poisson's ratio (the ratio of the transverse strain to the longitudinal strain).

[0049] The soil redox potential reflects the relative proportion of oxidized and reduced substances in the soil. In pipe jacking construction, it is crucial to evaluate the corrosiveness of the soil. A higher redox potential usually indicates that the soil is in a relatively oxidized state, which may cause certain chemical components in the soil to react chemically with the pipe jacking material more easily, thereby accelerating the corrosion of the pipe jacking. In addition, the redox potential will also affect the activity of microorganisms in the soil and the migration and transformation of certain pollutants, thereby indirectly affecting the environment of pipe jacking construction and the durability of the pipe jacking. The collection method is: use a redox potential meter to insert electrodes into the soil for measurement. Before measurement, calibrate the electrodes to ensure the accuracy of the measurement. Insert the electrodes into the soil at different depths and positions, and wait for the instrument to stabilize before reading the redox potential value.

[0050] Excessive heavy metal content in the soil may affect the physical and chemical properties of the soil, and thus affect the stability and durability of the jacking pipe. For example, certain heavy metals may react with organic or inorganic matter in the soil, change the structure and porosity of the soil, and affect the mechanical properties of the soil. At the same time, heavy metals may also cause potential harm to the surrounding environment through the migration of groundwater or soil particles. In jacking pipe construction, understanding the heavy metal content in the soil can provide a basis for taking corresponding protective measures, such as selecting corrosion-resistant jacking pipe materials or improving the soil. The collection method is as follows: First, select multiple representative sampling points in the jacking pipe construction area and collect soil samples at different depths. The soil samples are taken back to the laboratory, and after drying, grinding, and digestion pretreatment modules, they are analyzed using an atomic absorption spectrometer to measure the content of different heavy metal elements.

[0051] The soil organic matter content will affect the soil's fertility, air permeability, water retention and other properties. A higher organic matter content can increase the soil's porosity and water holding capacity and improve the soil's physical properties, but it may also lead to an increase in soil compressibility and affect the stability of the soil around the jacking pipe. In addition, organic matter may decompose under the action of microorganisms to produce acidic substances or gases, which will corrode the jacking pipe materials. In jacking pipe construction, understanding the soil organic matter content can provide a reference for selecting appropriate construction processes and materials. The collection method is: after the collected soil samples are dried and ground, a certain amount of the sample is weighed and placed in a triangular flask, potassium dichromate-sulfuric acid solution is added, and heated to reflux in an oil bath for a certain period of time. Then, the remaining potassium dichromate is titrated with a standard ferrous sulfate solution, and the content of soil organic matter is calculated based on the amount of consumed standard ferrous sulfate solution.

[0052] The dust concentration in the tunnel means that a certain amount of dust will be generated during the pipe jacking construction process. Excessive dust concentration will not only affect the physical health of construction workers and cause health problems such as respiratory diseases, but may also cause pollution and damage to cables and equipment, affecting their performance and service life. In addition, excessive dust concentration may also increase the risk of fire and explosion. Therefore, monitoring the dust concentration in the tunnel can enable timely dust reduction measures to be taken to ensure the safety and hygiene of the construction environment. The collection method is: using a dust concentration detector to measure at different locations in the tunnel. The dust concentration detector usually uses a laser scattering dust concentration detector to emit a laser beam, measure the scattering intensity of the laser by dust particles in the air, and then calculate the dust concentration.

[0053] The concentration of volatile organic compounds in the tunnel indicates that there may be some volatile organic compounds in the tunnel, such as organic solvents and paint volatiles. These volatile organic compounds may have adverse effects on the health of construction workers, such as causing symptoms of dizziness, nausea, and respiratory irritation. Long-term exposure may also lead to chronic diseases. At the same time, volatile organic compounds may also damage the insulation performance of cables and reduce the service life of cables. Monitoring the concentration of volatile organic compounds in the tunnel can take measures such as ventilation in time to reduce its harm to personnel and equipment. The collection method is: using a gas chromatograph to collect air samples in the tunnel for analysis and determination. First, use a gas sampling pump to collect air samples in the tunnel into a sampling bag or adsorption tube. Then, take the sampled samples back to the laboratory and analyze them using a gas chromatograph. The gas chromatograph separates the volatile organic compounds in the sample and determines its type and concentration based on its retention time and peak area on the chromatographic column.

[0054] The noise intensity in the tunnel indicates that various noises will be generated during the pipe jacking construction process, such as the sound of mechanical equipment running, the sound of pipe jacking advancement, etc. Strong noise can damage the hearing of construction workers, leading to hearing loss, tinnitus and other problems. At the same time, noise will also affect the communication and operation accuracy between construction workers, increasing the risk of construction accidents. In addition, long-term exposure to high-noise environments may also increase the psychological pressure of construction workers, affecting work efficiency and physical health. Monitoring the noise intensity in the tunnel can take corresponding noise reduction measures to protect the health and safety of construction workers. The collection method is: use a noise meter to measure at multiple locations in the tunnel. The instrument will directly display the noise intensity value, and determine the noise intensity by measuring the sound pressure level of the sound.

[0055] The horizontal displacement acceleration of the jacking pipe reflects the speed of the displacement change of the jacking pipe in the horizontal direction. It can help construction personnel to find out whether the jacking pipe is subjected to abnormal lateral force in time. If the horizontal displacement acceleration increases suddenly, it may mean that the jacking pipe encounters a hard obstacle, uneven soil settlement or uneven jacking force. This abnormal situation may cause the jacking pipe to deviate from the design axis, affecting the quality and use function of the tunnel. By monitoring the horizontal displacement acceleration, construction personnel can adjust the jacking parameters, such as jacking force, jacking speed, etc. in time to correct the displacement deviation of the jacking pipe and ensure the smooth progress of the jacking construction. The collection method is: by installing a high-precision displacement sensor on the jacking pipe, the displacement of the jacking pipe in the horizontal direction is continuously measured. The displacement sensor transmits the measured displacement data to the data acquisition system in real time. The data acquisition system processes and analyzes the displacement data, and calculates the horizontal displacement acceleration by taking the second derivative of the displacement data.

[0056] The vertical displacement acceleration of the jacking pipe reflects the change in the motion state of the jacking pipe in the vertical direction. It is of great significance for judging whether there is a sudden sinking or rising of the jacking pipe. The vertical displacement of the jacking pipe may be caused by changes in the groundwater level, uneven soil compressibility, or uneven distribution of the jacking force in the vertical direction. If the vertical displacement acceleration is too large, it may cause ground settlement or uplift, damage ground facilities, and affect the safety of surrounding buildings. By monitoring the vertical displacement acceleration, construction personnel can take timely measures, such as adjusting the vertical component of the jacking force, strengthening the foundation, etc., to control the vertical displacement of the jacking pipe and ensure construction safety. The collection method is: install a vertical displacement sensor on the jacking pipe to measure the displacement of the jacking pipe in the vertical direction. The displacement sensor transmits the displacement data to the data acquisition system, and the system calculates the vertical displacement acceleration by taking the second derivative of the displacement data. When installing the displacement sensor, ensure that its measurement direction is consistent with the vertical direction, and perform calibration and accuracy verification.

[0057] The displacement vector direction of the jacking pipe can accurately describe the actual displacement direction of the jacking pipe. By comparing the actual displacement direction of the jacking pipe with the design direction, the construction personnel can promptly find out whether the jacking pipe has deviated from the design route. If there is a large deviation between the displacement vector direction of the jacking pipe and the design direction, the construction personnel can take corresponding correction measures to adjust the jacking direction to ensure that the jacking pipe is pushed in the correct direction. In addition, the displacement vector direction of the jacking pipe can also help construction personnel analyze the resistance distribution of the soil during the jacking pipe construction process and provide a basis for optimizing the jacking parameters. The collection method is: use displacement sensors in multiple directions to simultaneously measure the displacement of the jacking pipe in different directions. Install the displacement sensors at different positions of the jacking pipe. The displacement sensor transmits the measured displacement data to the data acquisition system, and the system calculates the displacement vector direction of the jacking pipe through trigonometric functions.

[0058] The bending moment of the jacking pipe reflects the degree of bending deformation of the jacking pipe during the stress process. During the jacking pipe construction, the jacking pipe may be subjected to uneven soil pressure, jacking force and other external loads, resulting in bending deformation of the jacking pipe. Excessive bending moment may cause cracks or damage to the jacking pipe structure, affecting the service life and safety of the jacking pipe. By monitoring the bending moment of the jacking pipe, construction personnel can adjust the jacking parameters in time, such as the distribution of the jacking force, the support method of the jacking pipe, etc., to reduce the bending deformation of the jacking pipe and ensure the structural integrity of the jacking pipe. The collection method is: according to the stress conditions at different positions of the jacking pipe, the bending moment value is obtained through mechanical calculation. Multiple strain sensors are arranged on the jacking pipe to measure the strain conditions of the jacking pipe at different positions. According to the strain data and the geometric dimensions, material properties and other parameters of the jacking pipe, the bending moment of the jacking pipe at different positions is calculated using mechanical formulas.

[0059] The tangential stress of the jacking pipe will affect the friction between the jacking pipe and the soil and the rotation of the jacking pipe. In the jacking pipe construction, the tangential stress is mainly generated by the relative movement between the jacking pipe and the soil. Monitoring the tangential stress can help optimize the jacking process and reduce energy consumption and equipment wear. If the tangential stress is too large, it may increase the friction between the jacking pipe and the soil, increase the jacking force, and accelerate the wear of the jacking pipe surface. By adjusting the jacking speed, injecting lubricating materials and other measures, the tangential stress can be reduced, the construction efficiency and the service life of the jacking pipe can be improved. The collection method is: by installing annular strain gauges on the surface of the jacking pipe to measure the tangential stress of the jacking pipe. The sensor can measure the strain or friction on the surface of the jacking pipe, and convert it into an electrical signal and transmit it to the data acquisition system. The data acquisition system calculates the tangential stress of the jacking pipe based on the measurement principle and calibration data of the sensor.

[0060] The data analysis module includes a pipe jacking construction environment data analysis unit and a pipe jacking construction status data analysis unit, which are used to analyze the data transmitted by the data acquisition module and transmit the analysis results to the comprehensive data evaluation module; the pipe jacking construction environment data analysis unit includes a soil physical property data analysis node, a soil chemical property data analysis node and a tunnel environment data analysis node; the pipe jacking construction status data analysis unit includes a pipe jacking displacement data analysis node and a pipe jacking force data analysis node.

[0061] In this embodiment, it should be specifically explained that: the soil physical property data analysis node is used to establish a soil physical property data calculation model, and the soil physical property data transmitted by the data acquisition module is imported into the soil physical property data calculation model to obtain the soil quality coefficient value. The soil physical property data calculation model is specifically expressed as:

[0062]

[0063] in, Represents the soil quality coefficient value calculated for the i-th time, Sa i represents the soil internal friction angle collected for the i-th time, Sm i represents the soil elastic modulus collected for the i-th time, Sp i represents the soil Poisson’s ratio collected for the i-th time, σ represents the standard deviation of the soil Poisson’s ratio, and μ represents the mean of the soil Poisson’s ratio.

[0064] In this embodiment, it is specifically required to be explained that: the soil chemical property data analysis node is used to establish a soil chemical property data calculation model, and the soil chemical property data transmitted by the data acquisition module is imported into the soil chemical property data calculation model to obtain the jacking pipe corrosion coefficient value. The soil chemical property data calculation model is specifically expressed as:

[0065]

[0066] Among them, l i Indicates the corrosion coefficient value of the pipe jacking calculated for the i-th time, Sr i represents the soil redox potential collected at the i-th time, Sc i represents the heavy metal content of soil collected for the i-th time, So i represents the soil organic matter content collected for the i-th time.

[0067] In this embodiment, it is specifically required to be explained that: the tunnel environment data analysis node is used to establish a tunnel environment data calculation model, and the tunnel environment data transmitted by the data acquisition module is imported into the tunnel environment data calculation model to obtain the tunnel environment quality coefficient value. The tunnel environment data calculation model is specifically expressed as:

[0068]

[0069] Among them, α i represents the tunnel environmental quality coefficient value calculated for the i-th time, Td i represents the dust concentration in the tunnel collected for the i-th time, Tc i represents the concentration of volatile organic compounds in the tunnel collected for the i-th time, Tn i represents the noise intensity in the tunnel collected for the i-th time.

[0070] In this embodiment, it is specifically required to be explained that: the pipe jacking displacement data analysis node is used to establish a pipe jacking displacement data calculation model, and the pipe jacking displacement data transmitted by the data acquisition module is imported into the pipe jacking displacement data calculation model to obtain the pipe jacking safety fault tolerance coefficient value. The pipe jacking displacement data calculation model is specifically expressed as:

[0071]

[0072] Among them, β i represents the safety tolerance coefficient of the pipe jacking calculated for the i-th time, Ph i Pv is the horizontal displacement acceleration of the top pipe collected for the i-th time, i Pd represents the vertical displacement acceleration of the top pipe collected for the i-th time. i Indicates the direction of the pipe displacement vector collected for the i-th time.

[0073] In this embodiment, it is specifically required to be explained that: the pipe jacking force data analysis node is used to establish a pipe jacking force data calculation model, and the pipe jacking force data transmitted by the data acquisition module is imported into the pipe jacking force data calculation model to obtain the pipe jacking wear fault tolerance coefficient value. The pipe jacking force data calculation model is specifically expressed as:

[0074]

[0075] Where, represents the wear tolerance coefficient of the jacking pipe calculated for the i-th time, Pj i represents the bending moment of the pipe jacking collected for the i-th time, Ts i represents the tangential stress of the pipe jacking collected for the i-th time.

[0076] The comprehensive data evaluation module includes a cable tunnel jacking method monitoring data analysis unit, which is used to comprehensively analyze the data transmitted by the data analysis module and transmit the analysis results to the real-time feedback module.

[0077] In this embodiment, it is specifically required to be explained that: the cable tunnel jacking method monitoring data analysis unit is used to establish a cable tunnel jacking method monitoring data calculation model, and the soil quality coefficient value, the jacking corrosion coefficient value, the tunnel environment quality coefficient value, the jacking safety fault tolerance coefficient value and the jacking wear fault tolerance coefficient value transmitted by the data analysis module are imported into the cable tunnel jacking method monitoring data calculation model to obtain the cable tunnel jacking method monitoring evaluation index value. The cable tunnel jacking method monitoring data calculation model is specifically expressed as:

[0078]

[0079] Where M represents the calculated monitoring and evaluation index value of the cable tunnel jacking method, represents the soil quality coefficient value calculated for the i-th time, l i Indicates the corrosion coefficient value of the pipe jacking calculated for the i-th time, α i represents the tunnel environmental quality coefficient value calculated for the i-th time, β i represents the safety tolerance coefficient of the pipe jacking calculated for the i-th time, β min Indicates the minimum value of the calculated safety tolerance factor for pipe jacking, β max Indicates the maximum value of the calculated safety tolerance factor of pipe jacking, η i represents the wear tolerance coefficient of the jacking pipe calculated for the i-th time, η min Indicates the minimum value of the calculated wear tolerance coefficient of the jacking pipe, η max Indicates the calculated maximum value of the jacking pipe wear tolerance coefficient; i means starting from the i-th number, and n means ending at the n-th number.

[0080] The real-time feedback module is used to establish a preset value of the cable tunnel jacking method monitoring and evaluation index, judge the cable tunnel jacking method monitoring and evaluation index value according to the preset value of the cable tunnel jacking method monitoring and evaluation index, and send a corresponding signal according to the judgment result.

[0081] In this embodiment, it should be specifically explained that: the preset value of the monitoring and evaluation index of the cable tunnel jacking method is marked as M def , when M defWhen it is less than M, a normal signal is sent. This signal indicates that the preset value of the monitoring and evaluation index of the pipe jacking method for cable tunnels is less than the value of the monitoring and evaluation index of the pipe jacking method for cable tunnels, indicating that the state of the pipe jacking method for cable tunnels is normal; when M def >= M, a warning signal is sent to relevant technical management personnel. This signal indicates that the preset value of the monitoring and evaluation index of the pipe jacking method for cable tunnels is greater than or equal to the value of the monitoring and evaluation index of the pipe jacking method for cable tunnels, indicating that the state of the pipe jacking method for cable tunnels is poor.

[0082] In the present invention, the relevant parameters of the pipe jacking method for cable tunnels based on the Internet of Things are divided into various batches, effectively improving the accuracy and timeliness of monitoring. By collecting soil physical property data, soil chemical property data, tunnel internal environment data, pipe jacking displacement data, and pipe jacking force data in multiple dimensions, this diversified data collection method reduces the singularity of traditional data collection and provides a rich and reliable information basis for subsequent data analysis. Through data analysis, the collected data is deeply mined, and then the soil quality coefficient value, pipe jacking corrosion degree coefficient value, tunnel environment quality coefficient value, pipe jacking safety tolerance coefficient value, and pipe jacking wear tolerance coefficient value are calculated, clearly indicating the aspects where problems may exist. By comprehensively considering and deeply integrating the results of data analysis, the reliability and accuracy of the analysis results are significantly improved. Through continuous real-time monitoring, once an abnormal situation is detected, a warning signal is immediately sent, and relevant technical personnel and managers can quickly understand the dynamic situation and potential problems of the pipe jacking method for cable tunnels, and timely take measures to adjust and optimize the pipe jacking construction plan, providing strong support for realizing efficient and accurate monitoring of the pipe jacking method for cable tunnels based on the Internet of Things and making scientific and reasonable decisions.

[0083] Secondly: In the accompanying drawings of the disclosed embodiments of the present invention, only the structures related to the disclosed embodiments are involved. Other structures can refer to the usual designs. Without conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0084] Finally: The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A cable tunnel jacking method monitoring system based on the Internet of Things, characterized in that: include: Data batch division module: used to determine the data to be collected as target data, divide the target data into different batches according to equal time division, and mark them as 1, 2, ..., n in sequence; Data acquisition module: including a pipe jacking construction environment data acquisition unit and a pipe jacking construction status data acquisition unit, which are used to acquire target data in real time and transmit the acquired data to the data analysis module; the pipe jacking construction environment data acquisition unit is used to acquire soil physical property data, soil chemical property data and tunnel environment data; the pipe jacking construction status data acquisition unit is used to acquire pipe jacking displacement data and pipe jacking force data; Data analysis module: including a pipe jacking construction environment data analysis unit and a pipe jacking construction status data analysis unit, used to analyze the data transmitted by the data acquisition module and transmit the analysis results to the comprehensive data evaluation module; Comprehensive data evaluation module: including the cable tunnel jacking method monitoring data analysis unit, which is used to comprehensively analyze the data transmitted by the data analysis module and transmit the analysis results to the real-time feedback module; Real-time feedback module: used to establish preset values ​​of cable tunnel pipe jacking construction method monitoring and evaluation index, judge the cable tunnel pipe jacking construction method monitoring and evaluation index value according to the preset values ​​of cable tunnel pipe jacking construction method monitoring and evaluation index, and send corresponding signals according to the judgment results.

2. According to the Internet of Things-based cable tunnel jacking method monitoring system of claim 1, it is characterized by: The soil physical property data include soil internal friction angle Sa, soil elastic modulus Sm and soil Poisson's ratio Sp; the soil chemical property data include soil redox potential Sr, soil heavy metal content Sc and soil organic matter content So; the tunnel environment data include tunnel dust concentration Td, tunnel volatile organic matter concentration Tc and tunnel noise intensity Tn.

3. According to the Internet of Things-based cable tunnel jacking method monitoring system of claim 1, it is characterized by: The jacking pipe displacement data includes the jacking pipe horizontal displacement acceleration Ph, the jacking pipe vertical displacement acceleration Pv and the jacking pipe displacement vector direction Pd; the jacking pipe force data includes the jacking pipe bending moment Pj and the jacking pipe tangential stress Ts.

4. According to the Internet of Things-based cable tunnel jacking method monitoring system of claim 1, it is characterized by: The jacking pipe construction environment data analysis unit includes soil physical property data analysis nodes, soil chemical property data analysis nodes and tunnel environment data analysis nodes; the jacking pipe construction status data analysis unit includes jacking pipe displacement data analysis nodes and jacking pipe force data analysis nodes.

5. The cable tunnel jacking method monitoring system based on the Internet of Things according to claim 4 is characterized by: The soil physical property data analysis node is used to establish a soil physical property data calculation model, import the soil physical property data transmitted by the data acquisition module into the soil physical property data calculation model, and obtain the soil quality coefficient value. The soil physical property data calculation model is specifically expressed as: ， in, represents the soil quality coefficient value calculated for the i-th time, Sai represents the soil internal friction angle collected for the i-th time, Smi represents the soil elastic modulus collected for the i-th time, Spi represents the soil Poisson's ratio collected for the i-th time, σ represents the standard deviation of the soil Poisson's ratio, and μ represents the mean of the soil Poisson's ratio.

6. The cable tunnel jacking method monitoring system based on the Internet of Things according to claim 4 is characterized by: The soil chemical property data analysis node is used to establish a soil chemical property data calculation model, import the soil chemical property data transmitted by the data acquisition module into the soil chemical property data calculation model, and obtain the jacking pipe corrosion coefficient value. The soil chemical property data calculation model is specifically expressed as: ， in, Indicates the corrosion coefficient value of the pipe jacking calculated for the i-th time, Sr i represents the soil redox potential collected at the i-th time, Sc i represents the heavy metal content of soil collected for the i-th time, So i represents the soil organic matter content collected for the i-th time.

7. The cable tunnel jacking method monitoring system based on the Internet of Things according to claim 4 is characterized by: The tunnel environment data analysis node is used to establish a tunnel environment data calculation model, import the tunnel environment data transmitted by the data acquisition module into the tunnel environment data calculation model, and obtain the tunnel environment quality coefficient value. The tunnel environment data calculation model is specifically expressed as: ， in, represents the tunnel environmental quality coefficient value calculated for the i-th time, Td i represents the dust concentration in the tunnel collected for the i-th time, Tc i represents the concentration of volatile organic compounds in the tunnel collected for the i-th time, Tn i represents the noise intensity in the tunnel collected for the i-th time.

8. The cable tunnel jacking method monitoring system based on the Internet of Things according to claim 4 is characterized by: The pipe jacking displacement data analysis node is used to establish a pipe jacking displacement data calculation model, import the pipe jacking displacement data transmitted by the data acquisition module into the pipe jacking displacement data calculation model, and obtain the pipe jacking safety fault tolerance coefficient value. The pipe jacking displacement data calculation model is specifically expressed as: ， in, represents the safety tolerance coefficient of the pipe jacking calculated for the i-th time, Ph i Pv is the horizontal displacement acceleration of the top pipe collected for the i-th time. i Pd represents the vertical displacement acceleration of the top pipe collected for the i-th time. i Indicates the direction of the pipe displacement vector collected for the i-th time.

9. The cable tunnel jacking method monitoring system based on the Internet of Things according to claim 4 is characterized by: The pipe jacking force data analysis node is used to establish a pipe jacking force data calculation model, import the pipe jacking force data transmitted by the data acquisition module into the pipe jacking force data calculation model, and obtain the pipe jacking wear fault tolerance coefficient value. The pipe jacking force data calculation model is specifically expressed as: ， Where, represents the wear tolerance coefficient of the jacking pipe calculated for the i-th time, Pj i represents the bending moment of the pipe jacking collected for the i-th time, Ts i represents the tangential stress of the pipe jacking collected for the i-th time.

10. The cable tunnel jacking method monitoring system based on the Internet of Things according to claim 1 is characterized by: The cable tunnel jacking method monitoring data analysis unit is used to establish a cable tunnel jacking method monitoring data calculation model, and the soil quality coefficient value, the jacking pipe corrosion coefficient value, the tunnel environment quality coefficient value, the jacking pipe safety fault tolerance coefficient value and the jacking pipe wear fault tolerance coefficient value transmitted by the data analysis module are imported into the cable tunnel jacking method monitoring data calculation model to obtain the cable tunnel jacking method monitoring evaluation index value. The cable tunnel jacking method monitoring data calculation model is specifically expressed as: ， Where M represents the calculated monitoring and evaluation index value of the cable tunnel jacking method, represents the soil quality coefficient value calculated for the i-th time, represents the corrosion coefficient value of the pipe jacking calculated for the i-th time, represents the tunnel environmental quality coefficient value calculated for the i-th time, represents the value of the pipe jacking safety tolerance coefficient calculated for the i-th time, Indicates the minimum value of the calculated pipe jacking safety tolerance coefficient. Indicates the maximum value of the calculated safety tolerance factor of pipe jacking. represents the wear tolerance coefficient of the jacking pipe calculated for the i-th time, Indicates the minimum value of the calculated wear tolerance coefficient of the jacking pipe. Indicates the calculated maximum value of the jacking pipe wear tolerance coefficient; i means starting from the i-th number, and n means ending at the n-th number.

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