Underground water level dynamic monitoring system for geotechnical engineering

Abstract

The invention discloses an underground water level dynamic monitoring system for geotechnical engineering, relates to the technical field of geotechnical engineering, and ensures that a sensor array can comprehensively monitor multi-parameter values by arranging a plurality of acquisition points at each underground water level layer during construction through a multi-parameter monitoring array deployment module. Secondly, a multi-parameter coupling evaluation value analysis module is used for generating a multi-parameter coupling evaluation value of the target geotechnical engineering, and a basis is provided for subsequent cementation degree prediction. The system can assess whether the engineering cementation degree in a future period has a risk, and gives an early warning in time when detecting a potential risk. And finally, through a reinforcing material strategy analysis module, the system carries out deep analysis on the cementing risk found in the prediction, and provides a corresponding reinforcing material strategy to guarantee the safety and stability of the project. Dynamic real-time monitoring and risk early warning of underground water in geotechnical engineering are realized, and scientific basis and technical support are provided for engineering construction and maintenance.

Description

Technical Field

[0001] The invention relates to the technical field of geotechnical engineering, and in particular to a groundwater level dynamic monitoring system for geotechnical engineering. Background Art

[0002] During the construction of geotechnical engineering (such as tunnels, foundation pits, slopes, etc.), the dynamic changes of groundwater levels have an important impact on the stability and safety of the project. Changes in groundwater levels may cause changes in the mechanical properties of rock and soil, which in turn lead to problems such as reduced bonding and instability of rock and soil. Therefore, real-time monitoring of groundwater levels and related parameters, and analysis of the bonding degree and reinforcement strategies of geotechnical engineering are the key to ensuring project safety.

[0003] Prior art, such as the invention application patent with announcement number: CN118443069A, discloses a fiber optic sensing system based on multi-parameter monitoring of geotechnical engineering, which relates to the field of monitoring and analysis technology, and includes a sensor deployment module, which is used to deploy sensors at each monitoring node in the target geotechnical engineering, and then confirm the signal data corresponding to each monitoring node; a demodulation module, which is used to demodulate the signal data of each monitoring node, and then confirm the parameter data corresponding to each monitoring node; a data evaluation module, which is used to analyze the parameter data corresponding to each monitoring node, and then confirm the safety score value corresponding to each monitoring node in the target geotechnical engineering; a comprehensive analysis module, which is used to compare the safety score value corresponding to each monitoring node in the target geotechnical engineering with the preset safety score interval, and obtain the corresponding abnormal monitoring node in the target geotechnical engineering, output an early warning signal according to the abnormal monitoring node, and adjust based on the abnormal monitoring node. This application has the effect of improving work efficiency.

[0004] In view of the above scheme, the inventors of the present application have found that the above technology has at least the following technical problems: 1. The groundwater monitoring system in the prior art often relies on the monitoring of a single parameter or a few parameters, which leads to insufficient comprehensive analysis capabilities of multiple factors such as groundwater level changes, microbial activities and rock and soil mechanical properties, making it difficult to fully reflect the true conditions of the groundwater environment. It usually lacks effective data integration and analysis capabilities, and is unable to couple and analyze multiple data such as microbial metabolic kinetic parameters, groundwater flow parameters and rock and soil mechanical parameters, resulting in the inability to form a comprehensive evaluation value, which makes engineering decisions lack scientific basis.

[0005] 2. When the existing monitoring system detects potential risks, it reacts slowly and lacks an effective real-time early warning mechanism, making it impossible to notify project managers in a timely manner, thus affecting project safety. At the same time, it is often designed for specific environmental conditions or parameters, lacks flexibility, and is difficult to adjust monitoring and management strategies in a timely manner according to actual site conditions, resulting in poor application results under complex geological conditions.

[0006] 3. Traditional reinforcement material strategies are often based on experience or fixed parameters, without considering the actual construction chemical environment and multi-parameter evaluation values, which may lead to the selection of inappropriate reinforcement materials, thus affecting the long-term stability and safety of the project. At the same time, they are relatively weak in the acquisition and analysis of construction chemical environment indicators, lack of comprehensive chemical environment adaptation value analysis, and cannot effectively guide the selection of construction materials and the optimization of construction operations. Summary of the invention

[0007] In view of the above-mentioned technical deficiencies, the object of the present invention is to provide a groundwater level dynamic monitoring system for geotechnical engineering.

[0008] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a groundwater level dynamic monitoring system for geotechnical engineering, including: a multi-parameter monitoring array deployment module: used to deploy a number of deployment and collection points in each groundwater level layer of the target geotechnical engineering during the construction of the current target geotechnical engineering, thereby deploying the sensor array to each deployment and collection point in each groundwater level layer of the target geotechnical engineering.

[0009] Multi-parameter coupling assessment value analysis module: used to collect the corresponding microbial metabolic kinetic parameters, groundwater flow parameters and geotechnical mechanics parameters at each deployed collection point in each groundwater level layer of the target geotechnical engineering project, and enter the analysis to obtain the multi-parameter coupling assessment value corresponding to the target geotechnical engineering project.

[0010] Bonding degree prediction and evaluation module: It is used to predict whether the bonding degree corresponding to the target geotechnical engineering project will have risks in the future period based on the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project. If the bonding degree corresponding to the target geotechnical engineering project is predicted to have risks in the future period, an early warning will be issued.

[0011] Reinforcement material strategy analysis module: used to predict and evaluate whether the bonding degree of the target geotechnical project is at risk in the future cycle, and then analyze the reinforcement material strategy corresponding to the target geotechnical project.

[0012] The beneficial effects of the present invention are as follows: 1. The present invention deploys a sensor array in each underground water level layer of the target geotechnical engineering through a multi-parameter monitoring array deployment module to collect multi-dimensional data such as microbial metabolic kinetic parameters, groundwater flow parameters and geotechnical mechanics parameters in real time. Through the multi-parameter coupling evaluation value analysis module, the system can comprehensively evaluate the status of the target geotechnical engineering, generate multi-parameter coupling evaluation values, and provide accurate and comprehensive health status analysis results for engineering management personnel. This multi-dimensional, multi-parameter monitoring and evaluation method significantly improves the scientificity and accuracy of geotechnical engineering status assessment.

[0013] 2. The present invention uses a bonding degree prediction and evaluation module to predict whether there is a risk in the bonding degree of the target geotechnical engineering in the future period based on the multi-parameter coupling evaluation value. If a risk is predicted, the system will issue a timely warning through the sound and light alarm device and the relevant management platform to remind the project management personnel and construction personnel to take countermeasures. In addition, the system also dynamically adjusts the monitoring frequency according to the degree of risk. For example, when the multi-parameter coupling evaluation value is lower than the minimum value of the standard interval, the monitoring frequency is increased from once per hour to once every 30 minutes; when the evaluation value is higher than the maximum value of the standard interval, the monitoring frequency is increased to once every 10 minutes. This hierarchical early warning mechanism can significantly improve the level of refinement of risk management and ensure project safety.

[0014] 3. The present invention uses a reinforcement material strategy analysis module to intelligently recommend the optimal reinforcement plan based on the multi-parameter coupling evaluation value and the construction chemical environment adaptation value, combined with the reinforcement material strategy collection in the database. By comparing the reinforcement material strategy collection in the database and the multi-parameter coupling evaluation value interval, the system can ensure the chemical compatibility of the recommended reinforcement materials with the construction environment, avoiding engineering problems caused by chemical environment mismatch. This data-driven reinforcement strategy analysis method not only improves the pertinence and effectiveness of the reinforcement plan, but also significantly reduces engineering costs and improves the economy of the project.

[0015] 4. The sensor array of the present invention adopts a modular design and is divided into the upper layer, aquifer and deep layer, each equipped with different types of sensor equipment. The hydraulic pushing technology and biocompatible silicone fixing technology are used to ensure that the sensor equipment can be quickly and accurately deployed to the predetermined depth and operate stably for a long time. This design significantly improves the deployment efficiency and reliability of the monitoring system.

[0016] 5. The present invention realizes data-driven scientific decision-making through multi-parameter coupling evaluation value, bonding degree prediction and reinforcement material strategy analysis. Engineering managers can formulate more scientific and reasonable construction and maintenance plans based on the analysis results of the system to improve the safety and economy of the project. At the same time, the introduction of the database enables the system to accumulate historical data, continuously optimize the evaluation model and reinforcement strategy, and improve the intelligence level of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention. DETAILED DESCRIPTION

[0019] 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.

[0020] Embodiments of the present invention Figure 1 As shown, a groundwater level dynamic monitoring system for geotechnical engineering includes: a multi-parameter monitoring array deployment module, a multi-parameter coupling evaluation value analysis module, a bonding degree prediction and evaluation module, a reinforcement material strategy analysis module and a database.

[0021] The multi-parameter coupling evaluation value analysis module is respectively connected to the multi-parameter monitoring array deployment module and the bonding degree prediction and evaluation module, the bonding degree prediction and evaluation module is connected to the reinforcement material strategy analysis module, and the database is connected to the reinforcement material strategy analysis module.

[0022] Multi-parameter monitoring array deployment module: used to deploy a number of deployment collection points in each groundwater level layer of the target geotechnical engineering project during the construction of the current target geotechnical engineering project, so as to deploy the sensor array to each deployment collection point in each groundwater level layer of the target geotechnical engineering project.

[0023] In a specific embodiment, a number of deployment collection points are deployed in each underground water level layer of the target geotechnical engineering project. The specific deployment process is as follows: the sensor device array is designed to be a 5m×5m square grid sensor device. At the same time, the sensor device layer is divided into an upper layer, an aquifer and a deep layer. The sensor device upper layer selects a microbial sensor equipped with a fluorescence intensity detection function, the sensor device aquifer selects a high-precision pressure transmitter and a four-electrode conductivity meter with a measurement accuracy of ±0.5cm, and the sensor device deep layer selects a FBG strain gauge with a resolution of 1με.

[0024] Hydraulic pushing technology is used to push the sensor equipment to the predetermined depth of each deployment collection point. After the sensor equipment is implanted in place, biocompatible silicone is injected for fixation.

[0025] It should be noted that the hydraulic push technology uses a hydraulic drive-mechanical transmission coupling system and high-pressure liquid to transmit power to achieve precise deployment of sensor equipment. Its core advantages include: 1. High-precision positioning (Beidou navigation + laser ranging, deviation <2cm); 2. Full formation adaptability (clay / sand / weakly weathered rock, maximum push depth 30m); 3. Low-disturbance operation (10cm diameter disturbance range, 67% less than traditional); 4. Efficient construction (15 points / day, 650% higher than manual). This technology integrates an adaptive formation resistance adjustment algorithm (response time <0.5s) and a dual-cylinder synchronous drive system (synchronization error <0.2cm). It has been successfully applied to projects such as Shenzhen Qianhai Deep Foundation Pit (25m silty clay) and the Hong Kong-Zhuhai-Macao Bridge Island Tunnel Project (strongly weathered granite), with a 100% burial survival rate, providing key technical support for the construction of a three-dimensional intelligent monitoring network.

[0026] Multi-parameter coupling assessment value analysis module: used to collect the corresponding microbial metabolic kinetic parameters, groundwater flow parameters and geotechnical mechanics parameters at each deployed collection point in each groundwater level layer of the target geotechnical engineering project, and enter the analysis to obtain the multi-parameter coupling assessment value corresponding to the target geotechnical engineering project.

[0027] In a specific embodiment, the analysis obtains a multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project, and the specific analysis process is as follows: A1, according to the microbial metabolic kinetic parameters, groundwater flow parameters and geotechnical mechanics parameters corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project, the microbial metabolic kinetic evaluation value, groundwater flow evaluation value and geotechnical mechanics evaluation value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project are analyzed, and the microbial metabolic kinetic evaluation value, groundwater flow evaluation value and geotechnical mechanics evaluation value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project are respectively recorded as , and ,in, Indicates the number corresponding to each groundwater level layer, , q is a positive integer, and q is also the sum of all groundwater levels. Indicates the number corresponding to each deployment collection point, , w is a positive integer, and w is also the sum of all deployed collection points.

[0028] A2. The microbial metabolic kinetics evaluation values ​​corresponding to each deployed collection point in each underground water level layer of the target geotechnical engineering project are , groundwater flow assessment value and geotechnical mechanics evaluation values , substitute into the calculation formula: The multi-parameter coupling evaluation value corresponding to the target geotechnical engineering is obtained ,in, , , They are the standard microbial metabolic dynamics assessment value, standard groundwater flow assessment value, and standard geotechnical mechanics assessment value corresponding to the set groundwater level layer. , , They are the weight factors corresponding to the set groundwater level microbial metabolic dynamics assessment value, the weight factors corresponding to the groundwater flow assessment value, and the weight factors corresponding to the geotechnical mechanics assessment value. represents a natural constant, Indicates the number of construction days.

[0029] It should be noted that , , Both are greater than 0 and less than 1.

[0030] It should also be noted that for the evaluation value of microbial metabolic kinetics, representative experimental results of specific soil or rock types are selected to ensure that they reflect the metabolic characteristics of microorganisms in different groundwater levels. Secondly, the groundwater flow evaluation value should be based on the on-site hydrogeological conditions, combined with hydrological model simulation and monitoring data to determine the flow speed and direction of each groundwater layer. Finally, the geotechnical mechanics evaluation value is obtained through triaxial tests and unconfined compression tests, and combined with on-site exploration data, the average value is selected as the standard value, and the expert evaluation method is adopted. Experts in related fields are invited to score the importance of each evaluation value, and finally the corresponding weight is calculated. Another method is to use the hierarchical analysis method to compare the relative importance of each evaluation value by constructing a judgment matrix to derive the weight factor.

[0031] In a specific embodiment, the analysis obtains the microbial metabolic kinetics evaluation value, groundwater flow evaluation value and geotechnical mechanics evaluation value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project. The specific analysis process is as follows: B1. Obtain the microbial metabolic kinetics parameters corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project. The microbial metabolic kinetics parameters include the total type of microbial concentration, the maximum specific growth rate and yield coefficient corresponding to each type of microorganism, and the total type of microbial concentration of each deployed collection point in each groundwater level layer of the target geotechnical engineering project, the maximum specific growth rate and yield coefficient corresponding to each type of microorganism are used as input items, and are introduced into the microbial metabolic kinetics evaluation value analysis model. After calculation and analysis of the microbial metabolic kinetics evaluation value analysis model, the microbial metabolic kinetics evaluation value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project is finally output.

[0032] It should be noted that the analysis process of the microbial metabolic kinetic evaluation value corresponding to each deployed collection point in each groundwater layer of the target geotechnical engineering is as follows: the total type of microbial concentration of each deployed collection point in each groundwater layer of the target geotechnical engineering, the maximum specific growth rate and yield coefficient corresponding to each type of microorganism are normalized, and the total type of microbial concentration of each deployed collection point in each groundwater layer of the target geotechnical engineering, the maximum specific growth rate and yield coefficient corresponding to each type of microorganism are recorded as , and ,in, Indicates the number corresponding to each groundwater level layer, , q is a positive integer, and q is also the sum of all groundwater levels. Indicates the number corresponding to each deployment collection point, , w is a positive integer, and w is also the sum of all deployed collection points, Indicates the number corresponding to each type of microorganism, , r is a positive integer, r is also the sum of all types of microorganisms, substitute into the analysis formula , and obtain the microbial metabolic kinetics evaluation value corresponding to each deployed collection point in each underground water level layer of the target geotechnical engineering .

[0033] It should also be noted that the SYBR Green I fluorescent probe was used to label the microbial DNA, the fluorescence signal was induced by the λ = 488 nm excitation light, and the 520 nm emission light intensity was detected by a photomultiplier tube. 4 ~10 8cells / mL) was used as the standard curve of fluorescence intensity (R²>0.99). The measured fluorescence value was substituted into the linear regression equation to convert the total bacterial concentration. Based on the autofluorescence characteristics of NADH / NADPH (λex=340nm, λem=460nm), the fluorescence intensity changes during microbial metabolism were continuously monitored to establish a dynamic relationship curve between biomass and fluorescence intensity. The growth curve was fitted with the Logistic model, and the maximum slope value was calculated as μmax by numerical differentiation. The interval time of single cell division was recorded simultaneously (by microfluidic imaging technology), and the double-constrained optimization model (objective function: min(μmax_logistic-μmax_cytometry)) was constructed in combination with the production rate of metabolites (such as lactate). Finally, the average value of multi-source data was taken, and the μmax inversion error was controlled within 12%, realizing the in situ real-time evaluation of microbial activity. The substrate (such as glucose) consumption rate (ΔS / Δt) and biomass growth rate (ΔU / Δt) were measured simultaneously by the mass balance method, Y_{U / S}=ΔU / (ΔS×ρ), where ρ is the substrate density. At the same time, the respiratory quotient (RQ=CO2 release / O2 consumption) was monitored using a CO2 sensor (accuracy ±0.05%) and an O2 electrode (resolution 0.1 mg / L), and the yield coefficient was inverted using the Monod equation: Y_{U / S}=Y_{ATP}×(ΔATP / ΔS), where Y_{ATP} is the ATP yield constant.

[0034] B2. Obtain the groundwater flow parameters corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project. The groundwater flow parameters include permeability coefficient, porosity and hydraulic gradient. The permeability coefficient, porosity and hydraulic gradient corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project are used as input items and imported into the groundwater flow assessment value analysis model. After calculation and analysis by the groundwater flow assessment value analysis model, the groundwater flow assessment value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project is finally output.

[0035] It should be noted that the groundwater flow assessment value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project is obtained by analyzing the analysis process of the microbial metabolic kinetics assessment value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project.

[0036] It should also be noted that the permeability coefficient is obtained by means of a combination of a pressure sensor and a flow meter and a distributed optical fiber temperature sensor. During the pumping test, the vibrating-string piezometer can monitor the water level changes in the main well and the observation well in real time, and the turbine flowmeter is responsible for recording the amount of water pumped. Substituting these data into the Theis formula can invert the permeability coefficient. The distributed optical fiber temperature sensor is arranged along the well wall after the thermal tracer is injected. It can monitor the diffusion of the temperature field, and then the permeability coefficient can be obtained by using the heat conduction model. The porosity is obtained by the nuclear density meter and the sonic logging instrument. The downhole gamma-ray sensor of the nuclear density meter can measure the soil density, and the porosity can be obtained by comparing and calculating with the known solid phase density. The sonic probe in the well of the sonic logging instrument can record the longitudinal wave time difference. According to the Wyllie time average formula, the longitudinal wave time difference data is converted to obtain the porosity. The recharge and discharge in the hydraulic gradient can be obtained by different sensor combinations. For recharge, the tipping bucket rain gauge can record precipitation, and the groundwater pressure sensor can monitor the change of groundwater level. By combining these data, the recharge can be estimated through the infiltration model. For discharge, the thermal pulse lysimeter installed on the surface can monitor the evaporation of soil water in real time, which is used as the data input for discharge.

[0037] B3. Obtain the geotechnical parameters corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project. The geotechnical parameters include elastic modulus, Poisson's ratio and cohesion. The elastic modulus, Poisson's ratio and cohesion of each deployed collection point in each groundwater level layer of the target geotechnical engineering project are used as input items and imported into the geotechnical mechanics evaluation value analysis model. After calculation and analysis by the geotechnical mechanics evaluation value analysis model, the geotechnical mechanics evaluation value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project is finally output.

[0038] It should be noted that the geotechnical mechanics evaluation values ​​corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project are obtained by analyzing the microbial metabolic kinetics evaluation values ​​corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project according to the above-mentioned analysis process.

[0039] It should also be noted that the elastic modulus is obtained by combining an acoustic logging instrument and a borehole pressure sensor. The acoustic logging instrument emits longitudinal and transverse waves in the borehole. After the sensor records the wave velocity, the elastic modulus is calculated by combining the density data through the formula. Substituting into the formula: elastic modulus = density × transverse wave velocity² × [(3× longitudinal wave velocity²-4× transverse wave velocity²) ÷ (longitudinal wave velocity²-transverse wave velocity²)], the Poisson's ratio is obtained by combining a distributed optical fiber strain sensor (DSS) with a laser inclinometer. Optical fibers are arranged axially and radially in the borehole. When the soil is loaded, the optical fiber monitors the strain difference in different directions. Combined with the displacement data recorded by the laser inclinometer, Poisson's ratio = negative sign × (transverse strain ÷ axial strain), and the cohesion is obtained by combining an in-situ shear box sensor with a pore water pressure gauge. A shear box with a stress ring is buried in the target soil layer. The pressure sensor in the box monitors the shear stress, and the pore water pressure gauge simultaneously records the excess pore pressure. The stress-strain curve is drawn in combination with the displacement sensor data. According to the Mohr-Coulomb criterion, the relationship between shear strength and normal stress is linearly fitted, and the intercept is the cohesion.

[0040] Bonding degree prediction and evaluation module: It is used to predict whether the bonding degree corresponding to the target geotechnical engineering project will have risks in the future period based on the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project. If the bonding degree corresponding to the target geotechnical engineering project is predicted to have risks in the future period, an early warning will be issued.

[0041] In a specific embodiment, the prediction and evaluation of whether the degree of bonding corresponding to the target geotechnical engineering project will be at risk in future cycles is carried out as follows: the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is compared with the set standard multi-parameter coupling evaluation value interval. If the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is within the set standard multi-parameter coupling evaluation value interval, then it is predicted that the degree of bonding corresponding to the target geotechnical engineering project will not be at risk in future cycles. If the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is not within the set standard multi-parameter coupling evaluation value interval, then it is predicted that the degree of bonding corresponding to the target geotechnical engineering project will be at risk in future cycles. In this way, it is predicted that whether the degree of bonding corresponding to the target geotechnical engineering project will be at risk.

[0042] It should be noted that the standard multi-parameter coupling evaluation value range is set to 2 to 5.

[0043] In a specific embodiment, if the bonding degree corresponding to the target geotechnical engineering project is predicted to be at risk in the future period, an early warning is issued, and the specific early warning process is as follows: C1. If the bonding degree corresponding to the target geotechnical engineering project is predicted to be at risk in the future period, and the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is less than the minimum value 2 of the set standard multi-parameter coupling evaluation value interval, a push notification is sent through the sound and light alarm device of the monitoring system and the relevant management platform to send an alarm to the engineering management personnel and construction personnel, clearly informing them that the bonding degree is at risk and the multi-parameter coupling evaluation value is less than the minimum value of the set standard multi-parameter coupling evaluation value interval, and the monitoring frequency of each deployed collection point in each groundwater layer of the target geotechnical engineering project is increased, and the collection frequency of microbial metabolic kinetic parameters, groundwater flow parameters and geotechnical parameters is increased from the conventional once per hour to once every 30 minutes; C2. If the cementation degree corresponding to the target geotechnical engineering project is predicted to be risky in the future period, and the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is greater than the maximum value of the set standard multi-parameter coupling evaluation value interval of 5, an alarm will be issued to the engineering management personnel and construction personnel through the special alarm mode of the monitoring system and the relevant management platform, informing them in the notification that the cementation degree is risky and the multi-parameter coupling evaluation value is greater than the maximum value of the set standard multi-parameter coupling evaluation value interval, and the collection frequency of microbial metabolic kinetic parameters, groundwater flow parameters and geotechnical mechanics parameters will be increased from the conventional once an hour to once every 10 minutes.

[0044] It should be noted that the special alarm mode uses a sharp, high-frequency and penetrating pulse sound of more than 1500 Hz, reaching more than 120 decibels. The light is a strong red light with a brightness of 500 lumens, strobing 5-8 times per second, and covering an angle of more than 180 degrees. On the management platform, a red pop-up window that occupies one-third of the screen will pop up, highlighting the relevant data curve with a red bold line and flashing abnormal points, and push notifications through SMS and instant messaging software.

[0045] Reinforcement material strategy analysis module: used to predict and evaluate whether the bonding degree of the target geotechnical project is at risk in the future cycle, and then analyze the reinforcement material strategy corresponding to the target geotechnical project.

[0046] In a specific embodiment, the reinforcement material strategy analysis module also includes a construction chemical environment index acquisition unit and a construction chemical environment adaptation value analysis unit.

[0047] The construction chemical environment index acquisition unit is used to acquire the construction chemical environment index corresponding to the target geotechnical engineering project, and the construction chemical environment index includes the water ion concentration, redox potential and pH value corresponding to each underground water level layer.

[0048] The construction chemical environment adaptation value analysis unit is used to analyze and obtain the construction chemical environment adaptation value corresponding to the target geotechnical engineering according to the water ion concentration, redox potential and pH value corresponding to each underground water level layer in the target geotechnical engineering.

[0049] In a specific embodiment, the analysis obtains the construction chemical environment adaptation value corresponding to the target geotechnical engineering. The specific analysis process is as follows: the water ion concentration, redox potential and pH value corresponding to each underground water level layer in the target geotechnical engineering are recorded as , and ,in, Indicates the number corresponding to each groundwater level layer, , q is a positive integer, and q is also the sum of all groundwater levels. Substitute it into the calculation formula: The construction chemical environment adaptation value corresponding to the target geotechnical engineering is obtained ,in, , , They are the standard water ion concentration, standard redox potential, and standard pH value corresponding to the set groundwater level layer. , , They are respectively the weight factor corresponding to the water ion concentration of the set groundwater level layer, the weight factor corresponding to the redox potential, and the weight factor corresponding to the pH value.

[0050] It should be noted that , , Both are greater than 0 and less than 1.

[0051] It should also be noted that the groundwater in the target area is sampled and analyzed in the laboratory to obtain actual measurement data of water ion concentration, redox potential and pH value in different water levels. These data should cover changes under different seasons and climatic conditions to ensure their representativeness. On the basis of obtaining actual data, refer to relevant national or regional water quality standards and industry specifications, and combine the data in previous research literature to determine the average water ion concentration, redox potential and pH value corresponding to the groundwater level layer. The average value reflects the normal chemical environment characteristics of the water level layer, and the average value is always recorded as the standard value. The setting of weight factors should be based on the degree of influence of each groundwater level layer on the construction of the project. Expert evaluation, historical case analysis and on-site investigation can be used to identify which groundwater levels have a greater impact on the construction chemical environment, and a quantitative method can be used to convert the degree of influence of each level into a weight factor.

[0052] In a specific embodiment, the reinforcement material strategy corresponding to the target geotechnical engineering project is analyzed, and the specific analysis process is as follows: D1. The multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is compared with the multi-parameter coupling evaluation value interval corresponding to each reinforcement material strategy collection in the database. If the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is within the multi-parameter coupling evaluation value interval corresponding to a reinforcement material strategy collection in the database, the reinforcement material strategy collection in the database is used as the reinforcement material strategy collection corresponding to the target geotechnical engineering project.

[0053] D2. Compare the construction chemical environment adaptation value corresponding to the target geotechnical engineering project with the construction chemical environment adaptation value corresponding to each reinforcement material strategy in the reinforcement material strategy collection in the database. If the construction chemical environment adaptation value corresponding to the target geotechnical engineering project is the same as the construction chemical environment adaptation value corresponding to a reinforcement material strategy in the reinforcement material strategy collection in the database, then use the reinforcement material strategy in the reinforcement material strategy collection in the database as the reinforcement material strategy corresponding to the target geotechnical engineering project.

[0054] In a specific embodiment, the database is used to store the multi-parameter coupling evaluation value intervals corresponding to each reinforcement material strategy collection and the construction chemical environment adaptation value corresponding to each reinforcement material strategy in each reinforcement material strategy collection.

[0055] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A groundwater level dynamic monitoring system for geotechnical engineering, characterized in that: include: Multi-parameter monitoring array deployment module: used to deploy a number of deployment and collection points in each groundwater level layer of the target geotechnical engineering project during the construction of the current target geotechnical engineering project, so as to deploy the sensor array to each deployment and collection point in each groundwater level layer of the target geotechnical engineering project; Multi-parameter coupling evaluation value analysis module: used to collect the corresponding microbial metabolic kinetic parameters, groundwater flow parameters and geotechnical parameters at each deployment collection point in each groundwater level layer of the target geotechnical engineering, and analyze and obtain the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering; Bonding degree prediction and evaluation module: used to predict and evaluate whether the bonding degree of the target geotechnical engineering project will have risks in the future period according to the multi-parameter coupling evaluation value of the target geotechnical engineering project. If the bonding degree of the target geotechnical engineering project will have risks in the future period, an early warning will be issued. Reinforcement material strategy analysis module: used to predict and evaluate whether the bonding degree of the target geotechnical project is at risk in the future cycle, and then analyze the reinforcement material strategy corresponding to the target geotechnical project.

2. A groundwater level dynamic monitoring system for geotechnical engineering according to claim 1, characterized in that: The deployment process of deploying several collection points in each underground water level layer of the target geotechnical engineering is as follows: The sensor array is designed to be a 5m×5m square grid sensor device. At the same time, the sensor device layers are divided into upper layer, aquifer and deep layer. The sensor device upper layer is equipped with a microbial sensor with fluorescence intensity detection function. The sensor device aquifer is equipped with a high-precision pressure transmitter and a four-electrode conductivity meter with a measurement accuracy of ±0.5cm. The sensor device deep layer is equipped with a FBG strain gauge with a resolution of 1με. Hydraulic pushing technology is used to push the sensor equipment to the predetermined depth of each deployment collection point. After the sensor equipment is implanted in place, biocompatible silicone is injected for fixation.

3. A groundwater level dynamic monitoring system for geotechnical engineering as claimed in claim 2, characterized in that: The analysis obtains the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering. The specific analysis process is as follows: A1. According to the microbial metabolic kinetic parameters, groundwater flow parameters and geotechnical parameters corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering, the microbial metabolic kinetic evaluation value, groundwater flow evaluation value and geotechnical evaluation value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering are analyzed and the microbial metabolic kinetic evaluation value, groundwater flow evaluation value and geotechnical evaluation value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering are recorded as , and ,in, Indicates the number corresponding to each groundwater level layer, , q is a positive integer, and q is also the sum of all groundwater levels. Indicates the number corresponding to each deployment collection point, , w is a positive integer, and w is also the sum of all deployed collection points; A2. The microbial metabolic kinetics evaluation values ​​corresponding to each deployment collection point in each underground water level layer of the target geotechnical engineering project are , groundwater flow assessment value and geotechnical mechanics evaluation values , substitute into the calculation formula: The multi-parameter coupling evaluation value corresponding to the target geotechnical engineering is obtained ,in, , , They are the standard microbial metabolic dynamics assessment value, standard groundwater flow assessment value, and standard geotechnical mechanics assessment value corresponding to the set groundwater level layer. , , They are the weight factors corresponding to the set groundwater level microbial metabolic dynamics assessment value, the weight factors corresponding to the groundwater flow assessment value, and the weight factors corresponding to the geotechnical mechanics assessment value. represents a natural constant, Indicates the number of construction days.

4. A groundwater level dynamic monitoring system for geotechnical engineering as claimed in claim 3, characterized in that: The analysis obtains the microbial metabolic dynamics evaluation value, groundwater flow evaluation value and geotechnical mechanics evaluation value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering. The specific analysis process is as follows: B1. Obtain the microbial metabolic kinetic parameters corresponding to each deployed collection point in each underground water level layer of the target geotechnical engineering project. The microbial metabolic kinetic parameters include the total type of microbial concentration, the maximum specific growth rate and yield coefficient corresponding to each type of microorganism, and use the total type of microbial concentration, the maximum specific growth rate and yield coefficient corresponding to each type of microorganism at each deployed collection point in each underground water level layer of the target geotechnical engineering project as input items, and import them into the microbial metabolic kinetic evaluation value analysis model. After calculation and analysis by the microbial metabolic kinetic evaluation value analysis model, the microbial metabolic kinetic evaluation value corresponding to each deployed collection point in each underground water level layer of the target geotechnical engineering project is finally output; B2. Obtain the groundwater flow parameters corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project. The groundwater flow parameters include permeability coefficient, porosity and hydraulic gradient. The permeability coefficient, porosity and hydraulic gradient corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project are used as input items and imported into the groundwater flow assessment value analysis model. After calculation and analysis by the groundwater flow assessment value analysis model, the groundwater flow assessment value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project is finally output; B3. Obtain the geotechnical parameters corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project. The geotechnical parameters include elastic modulus, Poisson's ratio and cohesion. The elastic modulus, Poisson's ratio and cohesion of each deployed collection point in each groundwater level layer of the target geotechnical engineering project are used as input items and imported into the geotechnical mechanics evaluation value analysis model. After calculation and analysis by the geotechnical mechanics evaluation value analysis model, the geotechnical mechanics evaluation value corresponding to each deployed collection point in each groundwater level layer of the target geotechnical engineering project is finally output.

5. A groundwater level dynamic monitoring system for geotechnical engineering as claimed in claim 4, characterized in that: The prediction and assessment of the corresponding bonding degree of the target geotechnical engineering project is risky in the future period. The specific prediction process is as follows: The multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is compared with the set standard multi-parameter coupling evaluation value interval. If the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is within the set standard multi-parameter coupling evaluation value interval, it is predicted that the degree of bonding corresponding to the target geotechnical engineering project will not be at risk in future cycles. If the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is not within the set standard multi-parameter coupling evaluation value interval, it is predicted that the degree of bonding corresponding to the target geotechnical engineering project will be at risk in future cycles. In this way, it is predicted whether the degree of bonding corresponding to the target geotechnical engineering project will be at risk.

6. A groundwater level dynamic monitoring system for geotechnical engineering as claimed in claim 5, characterized in that: If the bonding degree of the target geotechnical engineering project is predicted to be risky in the future period, an early warning is issued. The specific early warning process is as follows: C1. If the cementation degree corresponding to the target geotechnical engineering project is predicted to be at risk in the future period, and the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is less than the minimum value 2 of the set standard multi-parameter coupling evaluation value interval, a push notification is sent through the sound and light alarm device of the monitoring system and the relevant management platform to send an alarm to the project management personnel and construction personnel, clearly informing them that the cementation degree is at risk and the multi-parameter coupling evaluation value is less than the minimum value of the set standard multi-parameter coupling evaluation value interval, and increasing the monitoring frequency of each deployed collection point in each groundwater level layer of the target geotechnical engineering project, and increasing the collection frequency of microbial metabolic kinetic parameters, groundwater flow parameters and geotechnical parameters from the conventional once per hour to once every 30 minutes; C2. If the cementation degree corresponding to the target geotechnical engineering project is predicted to be risky in the future period, and the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering project is greater than the maximum value of the set standard multi-parameter coupling evaluation value interval of 5, an alarm will be issued to the engineering management personnel and construction personnel through the special alarm mode of the monitoring system and the relevant management platform, informing them in the notification that the cementation degree is risky and the multi-parameter coupling evaluation value is greater than the maximum value of the set standard multi-parameter coupling evaluation value interval, and the collection frequency of microbial metabolic kinetic parameters, groundwater flow parameters and geotechnical mechanics parameters will be increased from the conventional once an hour to once every 10 minutes.

7. A groundwater level dynamic monitoring system for geotechnical engineering as claimed in claim 6, characterized in that: The reinforcement material strategy analysis module also includes a construction chemical environment index acquisition unit and a construction chemical environment adaptation value analysis unit; The construction chemical environment index acquisition unit is used to acquire the construction chemical environment index corresponding to the target geotechnical engineering, and the construction chemical environment index includes the water ion concentration, oxidation-reduction potential and pH value corresponding to each underground water level layer; The construction chemical environment adaptation value analysis unit is used to analyze and obtain the construction chemical environment adaptation value corresponding to the target geotechnical engineering according to the water ion concentration, redox potential and pH value corresponding to each underground water level layer in the target geotechnical engineering.

8. A groundwater level dynamic monitoring system for geotechnical engineering as claimed in claim 7, characterized in that: The analysis obtains the construction chemical environment adaptation value corresponding to the target geotechnical engineering. The specific analysis process is as follows: The water ion concentration, redox potential and pH value corresponding to each underground water level in the target geotechnical engineering are recorded as , and ,in, Indicates the number corresponding to each groundwater level layer, , q is a positive integer, and q is also the sum of all groundwater levels. Substitute it into the calculation formula: The construction chemical environment adaptation value corresponding to the target geotechnical engineering is obtained ,in, , , They are the standard water ion concentration, standard redox potential, and standard pH value corresponding to the set groundwater level layer. , , They are respectively the weight factor corresponding to the water ion concentration of the set groundwater level layer, the weight factor corresponding to the redox potential, and the weight factor corresponding to the pH value.

9. A groundwater level dynamic monitoring system for geotechnical engineering as claimed in claim 8, characterized in that: The reinforcement material strategy corresponding to the target geotechnical engineering is analyzed, and the specific analysis process is as follows: D1. Compare the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering with the multi-parameter coupling evaluation value interval corresponding to each reinforcement material strategy collection in the database. If the multi-parameter coupling evaluation value corresponding to the target geotechnical engineering is within the multi-parameter coupling evaluation value interval corresponding to a reinforcement material strategy collection in the database, then use the reinforcement material strategy collection in the database as the reinforcement material strategy collection corresponding to the target geotechnical engineering; D2. Compare the construction chemical environment adaptation value corresponding to the target geotechnical engineering project with the construction chemical environment adaptation value corresponding to each reinforcement material strategy in the reinforcement material strategy collection in the database. If the construction chemical environment adaptation value corresponding to the target geotechnical engineering project is the same as the construction chemical environment adaptation value corresponding to a reinforcement material strategy in the reinforcement material strategy collection in the database, then use the reinforcement material strategy in the reinforcement material strategy collection in the database as the reinforcement material strategy corresponding to the target geotechnical engineering project.

10. A groundwater level dynamic monitoring system for geotechnical engineering according to claim 9, characterized in that: It also includes a database, which is used to store the multi-parameter coupling evaluation value intervals corresponding to each reinforcement material strategy collection and the construction chemical environment adaptation value corresponding to each reinforcement material strategy in each reinforcement material strategy collection.

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