Comprehensive pipe gallery underground water level risk early warning method and system

Abstract

The invention provides a comprehensive pipe gallery underground water level risk early warning method and system, and relates to the technical field of risk early warning, and the method comprises the steps: collecting the pipe gallery geographical position distribution of a target comprehensive pipe gallery, and constructing a comprehensive pipe gallery distribution network; subarea risk analysis of the underground water level is executed, and each pipe gallery subarea and an underground water level risk list of each subarea are generated; monitoring underground water level data of the located area in real time; and inputting an underground water level risk list of each subarea, executing early warning triggering of each pipe gallery subarea, and generating underground water level risk early warning information. The technical problem that in the prior art, due to the fact that underground water level risk early warning mostly adopts a simple static model and a unified water level threshold value to judge the safety of the pipe gallery, consideration of geographical distribution of the pipe gallery is lacked, and risk early warning is not accurate is solved, the geographical distribution network of the comprehensive pipe gallery is established, and the risk early warning accuracy is improved. Regional analysis of the underground water level risk is realized, and the accuracy of underground water level risk early warning is improved.

Description

Technical Field

[0001] This application relates to the field of risk warning technology, and in particular to a method and system for early warning of groundwater level risks in integrated utility tunnels. Background Technology

[0002] With the continuous advancement of urbanization, underground utility tunnels, as an important component of urban infrastructure, are widely used for centralized management of pipelines in various public facilities. However, fluctuations in groundwater levels can threaten the safety of utility tunnels, especially when groundwater levels are high or when sudden fluctuations occur, which can easily lead to structural damage, pipeline damage, or even accidents.

[0003] Currently, most existing groundwater level risk early warning methods rely on simple static models and uniform water level thresholds to determine whether groundwater levels have reached a risk level. Static models typically use a uniform water level threshold to determine the existence of groundwater level risk. However, because groundwater level changes are influenced by various factors, groundwater level fluctuations exhibit both time-varying and spatial variability. Simple static models cannot effectively capture the patterns of groundwater level fluctuations, and using a uniform threshold cannot adapt to the differences in groundwater level fluctuations across different regions. Furthermore, due to significant differences in groundwater level change patterns across different regions—with some areas experiencing large fluctuations while others remain relatively stable—using a uniform risk assessment model to evaluate all utility tunnels ignores factors such as the surrounding hydrogeological conditions, groundwater flow patterns, and soil permeability, leading to reduced accuracy in risk assessment.

[0004] In summary, existing technologies suffer from inaccurate risk warnings because they often rely on simple static models and uniform water level thresholds to determine the safety of utility tunnels, lacking consideration for the geographical distribution of the tunnels. Summary of the Invention

[0005] The purpose of this application is to provide a method and system for early warning of groundwater level risks in integrated utility tunnels, in order to solve the technical problem that existing technologies often use simple static models and uniform water level thresholds to judge the safety of utility tunnels, lacking consideration of the geographical distribution of utility tunnels, resulting in inaccurate risk warnings.

[0006] In view of the above problems, this application provides a method and system for early warning of groundwater level risks in integrated utility tunnels.

[0007] Firstly, this application provides a method for early warning of groundwater level risk in integrated utility tunnels. This method is implemented through an integrated utility tunnel groundwater level risk early warning system. The method includes: collecting the geographical distribution of the target integrated utility tunnel and constructing an integrated utility tunnel distribution network; performing zonal risk analysis of groundwater level based on the integrated utility tunnel distribution network to generate each tunnel zone and a groundwater level risk list for each zone; monitoring groundwater level data in the area where the target integrated utility tunnel is located in real time; inputting the groundwater level data into the groundwater level risk lists for each zone, triggering early warnings for each tunnel zone, and generating groundwater level risk early warning information.

[0008] Optionally, the consistency analysis and clustering of groundwater level and geographical structure of the utility tunnel distribution network are performed to generate each utility tunnel zone; for each utility tunnel zone, the structural information of the utility tunnel is collected to perform groundwater level risk analysis to obtain a set of groundwater level risk thresholds for each zone based on a preset risk index set; and a groundwater level risk list for each zone is generated based on the set of groundwater level risk thresholds for each zone.

[0009] Optionally, historical groundwater level change data analysis is performed on any location in the integrated utility tunnel distribution network, and locations with consistent and adjacent changes are merged to generate a first clustering result; geographical structural stability analysis under groundwater level change is performed on any location in the integrated utility tunnel distribution network, and locations with consistent and adjacent stability are merged based on the first clustering result to generate a second clustering result; the second clustering result is used to generate each utility tunnel partition.

[0010] Optionally, collect structural information of each utility tunnel and geological information of each utility tunnel zone; perform groundwater level rise simulation based on the geological information to obtain geological change characteristics of different groundwater levels and generate each simulation dataset; based on a preset risk index set, use the simulation datasets and the structural information of each utility tunnel to identify risk indicators of the utility tunnel and generate a set of groundwater level risk thresholds for each zone.

[0011] Optionally, the preset risk indicator set includes the risk of waterproof layer leakage, structural deformation risk, and pipeline corrosion risk.

[0012] Optionally, for each utility tunnel structure information, historical risk index samples and historical geological change characteristics are collected according to the preset risk index set, and an integrated risk assessment network is trained and constructed; the integrated risk assessment network is used to generate a set of groundwater level risk thresholds for each zone for each simulation dataset.

[0013] Optionally, weather forecast information is collected; changes in groundwater level data are predicted based on the weather forecast information to generate a groundwater level prediction time series; and early warning trigger predictions are made for the groundwater level prediction time series based on the groundwater level risk list for each zone.

[0014] Secondly, this application also provides a groundwater level risk early warning system for integrated utility tunnels, used to execute the groundwater level risk early warning method for integrated utility tunnels as described in the first aspect. The integrated utility tunnel groundwater level risk early warning system includes: a location acquisition module for acquiring the geographical distribution of the target integrated utility tunnel and constructing an integrated utility tunnel distribution network; a zonal risk analysis module for performing zonal risk analysis of groundwater levels based on the integrated utility tunnel distribution network, generating each utility tunnel zone and a groundwater level risk list for each zone; a water level monitoring module for real-time monitoring of groundwater level data in the area where the target integrated utility tunnel is located; and a risk early warning module for inputting the groundwater level data into the groundwater level risk lists for each zone, executing early warning triggers for each utility tunnel zone, and generating groundwater level risk early warning information.

[0015] One or more technical solutions provided in this application have at least the following beneficial effects:

[0016] By collecting data on the geographical distribution of the target integrated utility tunnel, a distribution network of integrated utility tunnels is constructed. Based on this network, a zonal risk analysis of groundwater levels is performed, generating a risk list for each tunnel zone and its corresponding groundwater level. Groundwater level data in the area where the target integrated utility tunnel is located is monitored in real time. This groundwater level data is then input into the risk lists of each zone, triggering early warning mechanisms for each tunnel zone and generating groundwater level risk warning information. In other words, by analyzing the geographical distribution of the integrated utility tunnels, a zonal risk analysis of groundwater levels is conducted in the area where the tunnels are located. Groundwater level data is collected in real time, input into the risk lists of each zone, and the relationship between the current water level and a pre-set threshold is analyzed to trigger corresponding early warning mechanisms and generate risk warning information, thus improving the accuracy of groundwater level risk warnings for integrated utility tunnels.

[0017] The above description is merely an overview of the technical solution of this application. To better understand the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating the groundwater level risk early warning method for the integrated utility tunnel proposed in this application.

[0020] Figure 2 This is a schematic diagram of the underground water level risk early warning system for the integrated utility tunnel in this application.

[0021] Explanation of reference numerals in the attached diagram: Location acquisition module 11, Zone risk analysis module 12, Water level monitoring module 13, Risk early warning module 14. Detailed Implementation

[0022] This application provides a method and system for early warning of groundwater level risks in integrated utility tunnels. It addresses the technical problem in existing technologies where groundwater level risk warnings often rely on simple static models and uniform water level thresholds to assess tunnel safety, lacking consideration for the geographical distribution of the tunnels, leading to inaccurate risk warnings. By analyzing the geographical distribution of the integrated utility tunnels, the application performs zonal risk analysis of the groundwater level in the area where the tunnels are located. Groundwater level data is collected in real time and input into the risk lists of each zone. The relationship between the current water level and pre-set thresholds is analyzed, triggering corresponding early warning mechanisms and generating risk warning information, thus improving the accuracy of groundwater level risk warnings for integrated utility tunnels.

[0023] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0024] Example 1, please refer to the appendix. Figure 1 This application provides a method for early warning of groundwater level risk in integrated utility tunnels. The method is executed through an integrated utility tunnel groundwater level risk early warning system, and specifically includes the following steps:

[0025] S100: Collect the geographical distribution of the target integrated utility tunnel and construct an integrated utility tunnel distribution network.

[0026] Specifically, integrated utility tunnels are underground passageways that house multiple public utility pipelines (such as electricity, telecommunications, water supply, gas supply, and heating). They are designed to improve the management efficiency of urban underground pipeline facilities and avoid the land waste and management difficulties associated with constructing separate pipelines. The geographical location of the target integrated utility tunnel is collected using satellite maps, Geographic Information Systems (GIS), or other surveying technologies (such as GPS positioning) to obtain the geographic coordinate data of the area where the tunnel is located.

[0027] The geographical distribution of utility tunnels refers to their specific locations and spatial distribution within a city or region, typically represented by geographic coordinates or a map. Based on this geographical distribution, a comprehensive utility tunnel distribution network is constructed. First, the connections between tunnels are determined (e.g., the connection between tunnel A and tunnel B, the connection between tunnel C and tunnel A, etc.). A network topology is then established within the GIS system, forming a distribution network with nodes and connections. This comprehensive utility tunnel distribution network is a structured representation of the spatial distribution and interconnections of all utility tunnels within a given area, displaying the relative locations of each tunnel, the pipeline layout, and the methods of interconnection. Through this precise geographical distribution network, the location distribution and connection relationships of the utility tunnels become clearly understood.

[0028] S200: Perform a zonal risk analysis of groundwater level based on the integrated utility tunnel distribution network, and generate a list of groundwater level risks for each utility tunnel zone and each zone.

[0029] Furthermore, this application S200 includes:

[0030] Consistency analysis and clustering of groundwater level and geographical structure of the utility tunnel distribution network are performed to generate each utility tunnel zone; for each utility tunnel zone, the structural information of the utility tunnel is collected to perform groundwater level risk analysis, and a set of groundwater level risk thresholds for each zone is obtained based on a preset risk index set; a groundwater level risk list for each zone is generated based on the set of groundwater level risk thresholds for each zone.

[0031] Furthermore, this application also includes the following steps:

[0032] Historical groundwater level changes are analyzed at any location in the integrated utility tunnel network. Locations with consistent and adjacent changes are merged to generate a first clustering result. Geographical structural stability analysis under groundwater level changes is performed at any location in the integrated utility tunnel network. Based on the first clustering result, locations with consistent and adjacent stability are merged to generate a second clustering result. The second clustering result is used to generate each utility tunnel partition.

[0033] Specifically, historical groundwater level change data are collected from various locations within the target integrated utility tunnel network. Time-series analysis is performed on the groundwater level data for each location to calculate the fluctuation trend. Data analysis methods (such as time-series analysis or moving average) are used to identify the consistency of groundwater level changes. For utility tunnel points with consistent groundwater level change trends and adjacent geographical locations, clustering can be performed based on the change patterns to form the first cluster result. Groundwater level change data analysis involves statistically analyzing historical groundwater level change data, primarily focusing on the fluctuation trend of groundwater levels over time to determine the consistency and regularity of groundwater level changes in different areas. The first cluster result is a location merging result based on the consistency of historical groundwater level change data.

[0034] A geographic structural stability analysis is conducted for each location within the integrated utility tunnel network. This analysis examines the impact of groundwater level changes within each cluster on the geographic structure of the area, including the surrounding geological conditions, soil type, and foundation stability. Geographic structural stability at each location is analyzed using geological exploration data and numerical simulation methods (such as finite element analysis or foundation settlement models). Based on the consistency of geographic structural stability, adjacent clusters with similar stability are merged to generate a second cluster. For example, in the first cluster, two areas may exhibit similar groundwater level fluctuations, but geographic structural stability analysis reveals differences in their geological conditions and soil bearing capacity. Based on this, these two areas may be assigned to different zones.

[0035] Based on the results of the second clustering, the entire utility tunnel distribution network is divided into multiple different zones. The groundwater level change trend and geographical structural stability characteristics within each zone are highly consistent, which can effectively reflect the groundwater risk faced by the utility tunnel in the area.

[0036] For each utility tunnel section, further information on the tunnel structure related to that section will be collected. Based on this information and changes in groundwater level, the groundwater level risk of each section will be analyzed. For each utility tunnel section, relevant structural information will be collected, including the depth of the pipeline, pipeline material, pipeline aging degree, settlement rate, and permeability of the surrounding soil.

[0037] Based on the utility tunnel structure information, a groundwater level risk analysis is conducted. First, a set of risk indicators is established, including the risk of waterproofing layer leakage, structural deformation, and pipeline corrosion. The relationship between water level fluctuations and the structural characteristics of the utility tunnel is analyzed to assess the groundwater level risk for each zone. Based on the utility tunnel structure information and the pre-set risk indicator set, combined with historical and real-time groundwater level data, a risk assessment model is used to calculate the risk threshold for each zone under different water level conditions, forming a set of groundwater level risk thresholds.

[0038] Based on the groundwater level risk threshold sets for each zone, a groundwater level risk list for each zone is generated, clarifying the risk levels corresponding to different water level intervals. By combining the geographical structure of the integrated utility tunnel with groundwater level changes, and using consistency analysis clustering, risk zones are divided. Differentiated risk thresholds are established for specific structural risk indicators in each zone, achieving personalized and refined risk assessment. By dynamically generating groundwater level risk lists, safety risks in different utility tunnel areas are monitored and warned, improving the accuracy and response efficiency of groundwater level risk warnings for integrated utility tunnels, reducing false alarms and missed alarms, and enhancing the operational safety assurance level of underground integrated utility tunnels.

[0039] Furthermore, this application also includes the following steps:

[0040] Collect structural information of each utility tunnel and geological structure information of each utility tunnel zone; perform groundwater level rise simulation based on the geological structure information to obtain geological change characteristics of different groundwater levels and generate each simulation dataset; based on a preset risk index set, use the simulation datasets and the structural information of each utility tunnel to identify risk indicators of the utility tunnel and generate a set of groundwater level risk thresholds for each zone.

[0041] For each utility tunnel structure information, historical risk index samples and historical geological change characteristics are collected according to the preset risk index set, and an integrated risk assessment network is trained and constructed; the integrated risk assessment network is used to generate a set of groundwater level risk thresholds for each zone for each simulated dataset.

[0042] Specifically, structural information for each utility tunnel is collected, including its length, location, construction materials, and the quality of its waterproofing layer. Simultaneously, geological information about the area where the tunnels are located is also collected, including soil type, rock strata distribution, and groundwater level fluctuations. Utility tunnel structural information refers to the physical and functional composition of the tunnels, including their construction, materials, pipeline layout, waterproofing layer condition, supporting structures, aging status, and service life—information relevant to the tunnels' stability and safety. Geological structural information includes factors such as the underground geological conditions of the area where the tunnels are located, soil type, rock strata distribution, groundwater level fluctuation patterns, and soil moisture, which influence the impact of groundwater level changes on the tunnel structure.

[0043] Based on information about various geological structures, groundwater level rise simulation methods are used to predict geological changes under different water level conditions. Numerical simulation software (such as MODFLOW and FLUXNET) is employed to simulate groundwater flow, soil permeability, and the impact of groundwater level on the soil, predicting the effects of water level changes on the utility tunnel and surrounding soil structure. For example, the simulation examines the wetting expansion of the soil and the leakage of the waterproofing layer of the utility tunnel when the groundwater level rises by 0.5 meters, generating simulation datasets under different water level conditions.

[0044] Multiple simulation datasets were generated under different groundwater level conditions. These datasets included geological changes during the rise in groundwater level, such as soil expansion and settlement, as well as the impact on the utility tunnel structure (such as waterproofing layer leakage, pipe corrosion, and structural deformation). The simulation datasets are collections of experimental data obtained through groundwater level rise simulations, describing the changes in geological structure and the potential risks to the utility tunnel under different groundwater level conditions.

[0045] Using a pre-set set of risk indicators (such as waterproofing layer leakage, structural deformation, and pipe corrosion) and a generated simulation dataset, the risks of utility tunnels under different groundwater levels are analyzed. For each utility tunnel structure, historical risk indicator samples and historical geological change characteristics are collected according to the pre-set risk indicator set. The historical risk indicator samples are risk assessment samples from the historical dataset, referring to long-term monitored and recorded groundwater level changes and their actual risks to utility tunnel safety, including data on the relationship between groundwater level changes and the structural response of the utility tunnel. Historical geological change characteristics refer to the geological changes of the soil under different historical periods and groundwater levels, such as settlement, expansion, and changes in soil moisture. By analyzing historical data, the impact of groundwater levels on the soil and utility tunnels can be inferred.

[0046] Historical risk indicator samples and historical geological change characteristic data are cleaned to remove outliers and missing values, and the data format and time scale are standardized to ensure data accuracy and consistency. Key features, such as groundwater level change rate, cumulative soil subsidence, and structural deformation amplitude, are extracted from the raw data. Multiple machine learning algorithms (such as random forest, support vector machine, and neural network) are used to train risk assessment models separately. Ensemble learning methods (such as weighted voting and stacked models) are used to fuse the prediction results of individual models to improve overall prediction accuracy and robustness. The preprocessed data is divided into training and validation sets, and cross-validation is used to adjust model parameters to prevent overfitting. During training, the model gradually learns the correlation pattern between historical risks and geological changes, optimizing its risk judgment ability. Multiple evaluation metrics (such as precision, recall, F1 score, and ROC curve) are used to evaluate model performance. For model deficiencies, parameters are adjusted, algorithms are optimized, or more sample data is introduced to improve the model's generalization ability.

[0047] The trained ensemble risk assessment network is used to assess the risks of various simulation datasets, generating a set of groundwater level risk thresholds for each utility tunnel section, defining the risk status of the section under specific groundwater level conditions. By training the ensemble risk assessment network on historical data of the utility tunnel and predicting risks, the risk level of the tunnel under different groundwater level conditions can be assessed more accurately. This not only improves the accuracy of the risk assessment but also, by combining geological change characteristics with historical data, provides real-time risk warnings for the utility tunnel, helping to promptly identify potential safety hazards and take preventative measures.

[0048] Furthermore, this application also includes the following steps:

[0049] The preset risk indicator set includes the risk of waterproofing layer leakage, structural deformation, and pipeline corrosion.

[0050] Specifically, a pre-defined risk indicator set refers to a set of pre-established risk assessment standards or parameters used to evaluate the impact of groundwater level changes on the safety of integrated utility tunnels. These sets are typically based on industry standards or expert experience to effectively assess and predict potential risks under different environmental conditions. The pre-defined risk indicator set includes risks related to waterproofing layer leakage, structural deformation, and pipeline corrosion.

[0051] The risk of leakage in the waterproofing layer is the possibility of leakage occurring in the waterproofing layer of an underground utility tunnel system. The waterproofing layer is primarily used to prevent groundwater from penetrating the tunnel structure. When the waterproofing layer is damaged or deteriorated, moisture can enter the tunnel, affecting the stability of pipelines and other facilities, and even causing serious structural damage. The risk of leakage in the waterproofing layer is assessed by using groundwater level monitoring and soil moisture sensors, combined with the properties of the waterproofing layer materials and its service life.

[0052] Structural deformation risk refers to the risk of underground utility tunnels deforming due to changes in groundwater level, soil compaction, or other external factors, such as settlement, heave, or tilting, affecting the pipeline's traffic capacity and safety. This study analyzes the impact of groundwater level fluctuations on the utility tunnel structure by combining data on soil settlement, tunnel depth, and groundwater level fluctuations. Monitoring data such as soil settlement rate and pipeline surface deformation assesses potential structural deformation.

[0053] Pipeline corrosion risk arises from the chemical composition, pH level, or other environmental factors of groundwater or soil, leading to surface corrosion of pipelines. Pipeline corrosion weakens pipelines, potentially causing leaks, ruptures, or environmental pollution. The corrosion rate of pipeline materials is assessed by examining the chemical composition of the soil (such as pH and conductivity) and the chemical properties of groundwater. Different pipeline materials exhibit varying degrees of corrosion tolerance; models for assessing corrosion rates can be based on factors such as groundwater pH, salinity, and dissolved oxygen levels.

[0054] S300: Real-time monitoring of groundwater level data in the area where the target integrated utility tunnel is located.

[0055] Furthermore, this application S300 includes:

[0056] Collect weather forecast information; combine the weather forecast information to predict changes in groundwater level data and generate a groundwater level prediction time series; based on the groundwater level risk list for each zone, perform early warning trigger prediction on the groundwater level prediction time series.

[0057] Specifically, groundwater level sensors are deployed in the target integrated utility tunnel area to collect real-time groundwater level data at a frequency of hourly or less, ensuring the data reflects the latest groundwater level conditions. Weather forecast data for the next 3 to 7 days is obtained through a meteorological service interface, focusing on meteorological factors such as rainfall and temperature that affect groundwater recharge and evaporation. A time series model (such as ARIMA) is used to combine historical groundwater level data with future weather forecast data. The model will learn the relationship between groundwater level and weather factors, thereby predicting future groundwater level changes.

[0058] Using a pre-trained model, weather forecasts and groundwater level data are input to generate a time series of groundwater level changes. The groundwater level prediction time series is a sequence of groundwater level changes generated by the model within a certain time range, showing the groundwater level value at each point in time during the prediction period. Based on the groundwater level risk list for each zone, early warning triggers are generated for the groundwater level prediction time series. That is, the groundwater level prediction time series is compared with the preset risk threshold list for each zone to identify the time points when the predicted water level reaches or exceeds the threshold. This triggers a risk warning for the corresponding zone, such as an increase in leakage risk or an exacerbation of structural deformation risk. For example, if the predicted water level reaches 0.6 meters within the next 12 hours, exceeding the leakage risk threshold of 0.5 meters for Zone 1, an early warning signal is automatically triggered.

[0059] By combining real-time groundwater level monitoring and weather forecast information, and using advanced time series prediction models, the trend of groundwater level changes can be accurately predicted. Based on the risk threshold of each zone, precise early warning triggering can be achieved, which improves the timeliness and accuracy of early warning, greatly enhances the ability of the integrated utility tunnel to cope with groundwater level risks, and ensures the structural safety and operational stability of the utility tunnel.

[0060] S400: Input the groundwater level data into the groundwater level risk list of each zone, execute the early warning trigger of each pipe gallery zone, and generate groundwater level risk early warning information.

[0061] Specifically, real-time monitored groundwater level data (e.g., the current groundwater level) is matched against a groundwater level risk list for each zone. This risk list contains a set of groundwater level thresholds for each zone. Based on these thresholds, it is determined whether the current groundwater level falls within a risk range. The input groundwater level data is compared with a preset risk list to determine if an alert should be triggered. If the water level exceeds a certain set threshold, different levels of alerts are triggered. In practice, the alert triggering mechanism can be automated. For example, a minor risk alert might be triggered when the water level exceeds 0.8 meters, and a medium risk alert might be triggered when it exceeds 1.2 meters.

[0062] Once an alert is triggered, groundwater level risk warning information is automatically generated, including the specific risk level, relevant utility tunnel zones, affected time range, and necessary emergency measures. The groundwater level risk warning information is based on groundwater level data and preset risk thresholds, generating alerts about potential risks from changes in groundwater levels, including risk level, warning zone, and affected area.

[0063] After an early warning is generated, changes in groundwater level data are monitored in real time. If the water level changes, the risk assessment is continuously updated and the early warning information is adjusted to dynamically respond to fluctuations in groundwater level and ensure timely response. By inputting groundwater level data into a preset risk list and executing the early warning triggering mechanism, the system can identify potential groundwater level risks in the utility tunnel area in real time and generate early warning information. This not only improves the automation level of utility tunnel safety management but also enables rapid response to potential risks based on real-time data, ensuring timely preventive and responsive measures are taken when groundwater levels change, avoiding structural damage or accidents to the utility tunnel due to neglecting risks.

[0064] In summary, the groundwater level risk early warning method for integrated utility tunnels provided in this application has the following beneficial effects:

[0065] By collecting data on the geographical distribution of the target integrated utility tunnel, a distribution network of integrated utility tunnels is constructed. Based on this network, a zonal risk analysis of groundwater levels is performed, generating a risk list for each tunnel zone and its corresponding groundwater level. Groundwater level data in the area where the target integrated utility tunnel is located is monitored in real time. This groundwater level data is then input into the risk lists of each zone, triggering early warning mechanisms for each tunnel zone and generating groundwater level risk warning information. In other words, by analyzing the geographical distribution of the integrated utility tunnels, a zonal risk analysis of groundwater levels is conducted in the area where the tunnels are located. Groundwater level data is collected in real time, input into the risk lists of each zone, and the relationship between the current water level and a pre-set threshold is analyzed to trigger corresponding early warning mechanisms and generate risk warning information, thus improving the accuracy of groundwater level risk warnings for integrated utility tunnels.

[0066] Example 2: Based on the same inventive concept as the groundwater level risk early warning method for integrated utility tunnels in Example 1, this application also provides a groundwater level risk early warning system for integrated utility tunnels. Please refer to the appendix. Figure 2 The integrated utility tunnel groundwater level risk early warning system includes:

[0067] The location acquisition module 11 is used to acquire the geographical distribution of the target integrated utility tunnel and construct an integrated utility tunnel distribution network; the zoning risk analysis module 12 is used to perform zoning risk analysis of groundwater level based on the integrated utility tunnel distribution network and generate a list of groundwater level risks for each utility tunnel zone; the water level monitoring module 13 is used to monitor the groundwater level data of the area where the target integrated utility tunnel is located in real time; the risk warning module 14 is used to input the groundwater level data into the groundwater level risk list of each zone, execute the warning trigger for each utility tunnel zone, and generate groundwater level risk warning information.

[0068] Furthermore, the zonal risk analysis module 12 in the integrated utility tunnel groundwater level risk early warning system is also used for:

[0069] Consistency analysis and clustering of groundwater level and geographical structure of the utility tunnel distribution network are performed to generate each utility tunnel zone; for each utility tunnel zone, the structural information of the utility tunnel is collected to perform groundwater level risk analysis, and a set of groundwater level risk thresholds for each zone is obtained based on a preset risk index set; a groundwater level risk list for each zone is generated based on the set of groundwater level risk thresholds for each zone.

[0070] Furthermore, the zonal risk analysis module 12 in the integrated utility tunnel groundwater level risk early warning system is also used for:

[0071] Historical groundwater level changes are analyzed at any location in the integrated utility tunnel network. Locations with consistent and adjacent changes are merged to generate a first clustering result. Geographical structural stability analysis under groundwater level changes is performed at any location in the integrated utility tunnel network. Based on the first clustering result, locations with consistent and adjacent stability are merged to generate a second clustering result. The second clustering result is used to generate each utility tunnel partition.

[0072] Furthermore, the zonal risk analysis module 12 in the integrated utility tunnel groundwater level risk early warning system is also used for:

[0073] Collect structural information of each utility tunnel and geological structure information of each utility tunnel zone; perform groundwater level rise simulation based on the geological structure information to obtain geological change characteristics of different groundwater levels and generate each simulation dataset; based on a preset risk index set, use the simulation datasets and the structural information of each utility tunnel to identify risk indicators of the utility tunnel and generate a set of groundwater level risk thresholds for each zone.

[0074] Furthermore, the zonal risk analysis module 12 in the integrated utility tunnel groundwater level risk early warning system is also used for:

[0075] The preset risk indicator set includes the risk of waterproofing layer leakage, structural deformation, and pipeline corrosion.

[0076] Furthermore, the zonal risk analysis module 12 in the integrated utility tunnel groundwater level risk early warning system is also used for:

[0077] For each utility tunnel structure information, historical risk index samples and historical geological change characteristics are collected according to the preset risk index set, and an integrated risk assessment network is trained and constructed; the integrated risk assessment network is used to generate a set of groundwater level risk thresholds for each zone for each simulated dataset.

[0078] Furthermore, the water level monitoring module 13 in the integrated utility tunnel groundwater level risk early warning system is also used for:

[0079] Collect weather forecast information; combine the weather forecast information to predict changes in groundwater level data and generate a groundwater level prediction time series; based on the groundwater level risk list for each zone, perform early warning trigger prediction on the groundwater level prediction time series.

[0080] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Figure 1 The groundwater level risk warning method and specific examples of the integrated utility tunnel in Example 1 are also applicable to the groundwater level risk warning system of the integrated utility tunnel in this example. Through the foregoing detailed description of the groundwater level risk warning method of the integrated utility tunnel, those skilled in the art can clearly understand the groundwater level risk warning system of the integrated utility tunnel in this example. Therefore, for the sake of brevity, it will not be described in detail here.

[0081] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0082] Obviously, those skilled in the art can make several improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of this application.

Claims

1. A method for early warning of groundwater level risk in integrated utility tunnels, characterized in that, include: Collect data on the geographical distribution of the target integrated utility tunnels and construct an integrated utility tunnel distribution network; Based on the integrated utility tunnel distribution network, a zonal risk analysis of groundwater level is performed to generate a list of groundwater level risks for each utility tunnel zone and each zone. Real-time monitoring of groundwater level data in the area where the target utility tunnel is located; The groundwater level data is input into the groundwater level risk list of each zone, and the early warning trigger of each pipe gallery zone is executed to generate groundwater level risk early warning information.

2. The method for early warning of groundwater level risk in integrated utility tunnels as described in claim 1, characterized in that, Based on the integrated utility tunnel distribution network, a zonal risk analysis of groundwater level is performed, generating a risk list for each utility tunnel zone and a groundwater level risk list for each zone, including: The consistency analysis and clustering of groundwater level and geographical structure of the utility tunnel distribution network are performed to generate the various utility tunnel zones. For each of the aforementioned utility tunnel zones, the structural information of the utility tunnel is collected to conduct groundwater level risk analysis, and a set of groundwater level risk thresholds for each zone is obtained based on a preset risk index set. A groundwater level risk list for each zone is generated using the set of groundwater level risk thresholds for each zone.

3. The method for early warning of groundwater level risk in integrated utility tunnels as described in claim 2, characterized in that, The consistency analysis and clustering of groundwater level and geographical structure of the utility tunnel distribution network are performed to generate the various utility tunnel zones, including: Historical groundwater level changes are analyzed at any location in the integrated utility tunnel network. Locations with consistent and adjacent changes are merged to generate the first clustering result. Perform a geographical structural stability analysis under groundwater level changes at any location in the integrated utility tunnel distribution network. Based on the first clustering result, merge locations with consistent stability and adjacent locations to generate a second clustering result. The second clustering result is used to generate the respective utility tunnel partitions.

4. The method for early warning of groundwater level risk in integrated utility tunnels as described in claim 2, characterized in that, For each of the aforementioned utility tunnel zones, structural information of the utility tunnels is collected for groundwater level risk analysis, resulting in a set of groundwater level risk thresholds for each zone based on a preset risk index set, including: Collect structural information of each pipe gallery and geological structure information of each pipe gallery zone; Based on the geological structure information, a groundwater level rise simulation is performed to obtain the geological change characteristics of different groundwater levels and generate various simulation datasets. Based on a preset risk indicator set, the risk indicators of the utility tunnels are identified using the simulated datasets and the structural information of each tunnel, thereby generating a set of groundwater level risk thresholds for each zone.

5. The method for early warning of groundwater level risk in integrated utility tunnels as described in claim 4, characterized in that, The preset risk indicator set includes the risk of waterproofing layer leakage, structural deformation, and pipeline corrosion.

6. The method for early warning of groundwater level risk in integrated utility tunnels as described in claim 5, characterized in that, Based on a preset risk indicator set, the risk indicators of the utility tunnels are identified using the simulated datasets and the structural information of each tunnel, generating a set of groundwater level risk thresholds for each zone, including: For each utility tunnel structure information, historical risk indicator samples and historical geological change characteristics are collected according to the preset risk indicator set, and an integrated risk assessment network is trained and constructed. The integrated risk assessment network is used to generate a set of groundwater level risk thresholds for each zone from the various simulated datasets.

7. The method for early warning of groundwater level risk in integrated utility tunnels as described in claim 1, characterized in that, After real-time monitoring of the groundwater level data in the area where the target integrated utility tunnel is located, the following is also included: Collect weather forecast information; By combining the aforementioned weather forecast information, changes in groundwater level data are predicted, and a groundwater level prediction time series is generated. Based on the groundwater level risk list for each zone, an early warning trigger prediction is made for the groundwater level prediction time series.

8. A groundwater level risk early warning system for integrated utility tunnels, characterized in that, The step of implementing the groundwater level risk early warning method for integrated utility tunnels according to any one of claims 1 to 7, wherein the groundwater level risk early warning system for integrated utility tunnels comprises: The location acquisition module is used to collect the geographical distribution of the target integrated utility tunnel and construct an integrated utility tunnel distribution network; The zoning risk analysis module is used to perform zoning risk analysis of groundwater level based on the integrated utility tunnel distribution network, and generate a list of groundwater level risks for each utility tunnel zone and each zone. The water level monitoring module is used to monitor the groundwater level data of the area where the target integrated utility tunnel is located in real time; The risk warning module is used to input the groundwater level data into the groundwater level risk list of each zone, execute the warning trigger of each pipe gallery zone, and generate groundwater level risk warning information.

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