Tunnel safety comprehensive monitoring method, system, equipment and medium

Abstract

The invention relates to a tunnel safety comprehensive monitoring method, system and device and a medium, and belongs to the technical field of tunnel safety monitoring, and the monitoring method comprises the steps: obtaining the structure monitoring data of a current monitoring section in a tunnel; based on a preset threshold value corresponding to each monitoring index as a reference, performing ratio calculation according to a numerical value corresponding to each monitoring index to obtain a corresponding risk factor; based on a preset weight coefficient corresponding to each monitoring index, carrying out weighted average on the risk factors to obtain a risk index of the current monitoring section; performing risk analysis according to the current time information and the current position information to obtain a time weight coefficient and a space weight coefficient respectively, and adjusting a risk index of the current monitoring section to obtain a comprehensive risk index; judging whether the comprehensive risk index exceeds a preset risk threshold value or not; if yes, risk early warning prompt information is sent to a management terminal according to the position information of the current monitoring section. According to the invention, the stability and safety of tunnel operation can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of tunnel safety monitoring, and in particular to a method, system, equipment and medium for comprehensive tunnel safety monitoring. Background Art

[0002] Tunnel engineering occupies an important position in infrastructure construction and is widely used in railways, highways, urban rail transit and other fields. With the continuous expansion of modern transportation networks, the number and scale of tunnel projects have increased year by year. However, due to the complex underground stress environment, tunnel structures bear huge loads for a long time and are easily affected by factors such as geological changes and natural disasters, causing various safety hazards. Therefore, tunnel safety monitoring has become an important link to ensure the safety and stability of tunnel operations.

[0003] In the actual safety monitoring process, tunnels are usually divided into multiple monitoring sections based on factors such as geological characteristics, structural features and key nodes during their design, construction and operation. Each section is usually equipped with corresponding sensors to collect monitoring data of the section in real time to ensure that potential safety hazards in the section can be effectively captured.

[0004] At present, due to being in different periods or different positions in the tunnel, the stress state and environmental conditions of each monitoring section may be different, and the probability of risk occurrence will also change accordingly. However, the common tunnel safety monitoring system has not fully considered the importance of different monitoring indicators to tunnel safety, nor has it reasonably distinguished the impact of time and space factors on risk assessment, resulting in a delayed response to abnormal situations, increasing potential safety risks and reducing the stability and safety of tunnel operation. Summary of the invention

[0005] In order to reduce potential safety risks and improve the stability and safety of tunnel operation, the present application provides a tunnel safety comprehensive monitoring method, system, equipment and medium.

[0006] In a first aspect, the present application provides a tunnel safety comprehensive monitoring method, which adopts the following technical solution: A tunnel safety comprehensive monitoring method, the monitoring method comprising: Acquire structural monitoring data of the current monitoring section in the tunnel; wherein the monitoring indicators in the structural monitoring data include strain monitoring indicators, vibration monitoring indicators, displacement monitoring indicators, load monitoring indicators and settlement monitoring indicators; Performing data preprocessing on the structure monitoring data; Based on the preset threshold value corresponding to each monitoring indicator as a reference, a ratio calculation is performed according to the numerical value corresponding to each monitoring indicator in the preprocessed structural monitoring data to obtain the risk factor corresponding to each monitoring indicator; Based on the preset weight coefficient corresponding to each monitoring indicator, weighted average is performed on the risk factor corresponding to each monitoring indicator to obtain the risk index of the current monitoring section; Perform risk analysis based on current time information and current location information of the current monitoring section to obtain a time weight coefficient and a space weight coefficient of the current monitoring section respectively; Based on the time weight coefficient and the space weight coefficient, the risk index of the current monitoring section is adjusted to obtain a comprehensive risk index of the current monitoring section; Determining whether the comprehensive risk index of the current monitoring section exceeds a preset risk threshold; If so, risk warning information is sent to the management terminal according to the location information of the current monitoring section.

[0007] By adopting the above technical solution, comprehensive risk monitoring and assessment of different monitoring sections in the tunnel can be achieved. By real-time collection and analysis of data of various monitoring indicators in the current monitoring section, combined with the impact of time and space factors on safety risks, a comprehensive risk index is calculated, and risk warning information is sent in a timely manner. This not only improves the accuracy of tunnel safety monitoring, but also provides a scientific basis for tunnel maintenance and management, helps to reduce potential safety risks, prevent accidents, and ensure the stability and safety of tunnel operation.

[0008] Optionally, the step of respectively obtaining the time weight coefficient and the space weight coefficient of the current monitoring section according to the current time information and the current position information of the current monitoring section includes: Acquire sample monitoring data and perform preprocessing; wherein the sample monitoring data includes historical structural monitoring data of different monitoring sections in the tunnel at different time points; Extracting features from the preprocessed sample monitoring data to obtain time series sample features and spatial sample features; Performing time series analysis according to the time series sample characteristics to construct a time feature analysis model; Performing spatial statistical analysis according to the spatial sample characteristics to construct a spatial feature analysis model; Acquiring current time information and current location information of the current monitoring section; Based on the time feature analysis model, the risk weight corresponding to the current time information is calculated to obtain the time weight coefficient; based on the space feature analysis model, the risk weight corresponding to the current location information of the current monitoring section is calculated to obtain the space weight coefficient.

[0009] By adopting the above technical solution, the time and space characteristics of historical monitoring data of different sections in the tunnel are extracted and analyzed, and combined with real-time monitoring data, the sensitivity and accuracy of the tunnel safety monitoring system can be effectively improved, providing a comprehensive risk assessment, thereby achieving a more refined safety level division and monitoring strategy.

[0010] Optionally, the step of adjusting the risk index of the current monitoring section based on the time weight coefficient and the space weight coefficient to obtain a comprehensive risk index of the current monitoring section includes: According to the time weight coefficient and the space weight coefficient, the time and space weight coefficient of the current monitoring section is obtained; According to the spatiotemporal weight coefficient and the risk index of the current monitoring section, the comprehensive risk index of the current monitoring section is calculated as: Among them, R i is the risk factor of the ith monitoring indicator, w i is the preset weight coefficient of the ith monitoring indicator, and F(t,x) is the spatiotemporal weight coefficient of the current monitoring section, that is, the product of the time weight coefficient and the space weight coefficient.

[0011] Optionally, after the step of determining whether the comprehensive risk index of the current monitoring section exceeds a preset risk threshold, the step further includes: If the comprehensive risk index of the current monitoring section does not exceed the preset risk threshold, then obtaining the environmental monitoring data of the current monitoring section and performing preprocessing; Perform risk analysis based on the preprocessed environmental monitoring data to obtain an environmental weight coefficient corresponding to the environmental monitoring data; Based on the environmental weight coefficient, the comprehensive risk index of the current monitoring section is adjusted to obtain an adjusted comprehensive risk index; Determining whether the adjusted comprehensive risk index exceeds a preset risk threshold; If so, risk warning information is sent to the management terminal according to the location information of the current monitoring section.

[0012] By adopting the above technical solution, when the comprehensive risk index does not exceed the preset risk threshold, the influence of environmental factors is further considered and the comprehensive risk index is adjusted to more comprehensively evaluate the safety status of the tunnel, especially when environmental factors may have a significant impact on tunnel safety. By considering these factors, potential safety hazards can be discovered earlier, and necessary preventive measures can be taken to ensure the safe operation of the tunnel.

[0013] Optionally, the step of performing risk analysis based on the preprocessed environmental monitoring data to obtain an environmental weight coefficient corresponding to the environmental monitoring data includes: Acquire historical environmental monitoring data and historical structural monitoring data of the current monitoring section and perform preprocessing; Extract time series features from the preprocessed historical environmental monitoring data and historical structural monitoring data to obtain time series environmental features and time series structural features; Based on the time series environmental characteristics and time series structural characteristics, a correlation analysis model is constructed; Based on the correlation analysis model, the risk weight corresponding to the environmental monitoring data is calculated to obtain the environmental weight coefficient.

[0014] By adopting the above technical solution and conducting a comprehensive and in-depth analysis of the environmental monitoring data and structural monitoring data, the final result is a quantitative environmental weight coefficient, which can be used to identify and evaluate key environmental factors that affect structural safety. It provides reliable reference data for engineering personnel, helps to identify potential risks in advance, optimize maintenance plans, and thus improve the long-term safety and stability of the tunnel.

[0015] Optionally, after the step of sending risk warning information to the management terminal according to the location information of the current monitoring section, the method further includes: Based on a preset risk level mapping table, determine the risk index interval according to the comprehensive risk index of the current monitoring section, and determine the risk level of the current monitoring section according to the risk index interval; Generate a corresponding emergency response strategy according to the risk level; The emergency response strategy is sent to the management terminal.

[0016] By adopting the above technical solutions, after evaluating the risk level and generating automated emergency response strategies, a systematic and comprehensive solution is provided for risk management in complex environments. In the entire process, each link from monitoring to response is highly integrated and automated, reducing the manpower burden and improving the efficiency and accuracy of emergency response. This integrated risk management system greatly enhances the ability of risk prevention and control, helps prevent accidents, reduce losses, and improves the scientificity and timeliness of management decisions.

[0017] In the second aspect, the present application provides a tunnel safety comprehensive monitoring system, which adopts the following technical solution: A tunnel safety comprehensive monitoring system, the monitoring system comprising: An acquisition module is used to acquire the structural monitoring data of the current monitoring section in the tunnel; wherein the monitoring indicators in the structural monitoring data include strain monitoring indicators, vibration monitoring indicators, displacement monitoring indicators, load monitoring indicators and settlement monitoring indicators; a preprocessing module is used to perform data preprocessing on the structural monitoring data; A risk factor calculation module, which is used to calculate the ratio of the values ​​corresponding to each monitoring indicator in the preprocessed structural monitoring data based on the preset threshold value corresponding to each monitoring indicator as a reference, so as to obtain the risk factor corresponding to each monitoring indicator; a risk index calculation module, which is used to perform weighted average of the risk factors corresponding to each monitoring indicator based on the preset weight coefficient corresponding to each monitoring indicator, so as to obtain the risk index of the current monitoring section; A spatiotemporal analysis module, used to perform risk analysis based on current time information and current location information of the current monitoring section, and obtain a time weight coefficient and a space weight coefficient of the current monitoring section respectively; A comprehensive risk index generating module, used for adjusting the risk index of the current monitoring section based on the time weight coefficient and the space weight coefficient to obtain the comprehensive risk index of the current monitoring section; A judgment module, used to judge whether the comprehensive risk index of the current monitoring section exceeds a preset risk threshold; if so, output a first judgment result; The risk warning module is used to respond to the first judgment result and send risk warning prompt information to the management terminal according to the location information of the current monitoring section.

[0018] Optionally, the monitoring system also includes: A risk level determination module, configured to determine the risk index interval of the current monitoring section according to the comprehensive risk index of the current monitoring section based on a preset risk level mapping table, and determine the risk level of the current monitoring section according to the risk index interval; An emergency response strategy generation module, used to generate a corresponding emergency response strategy according to the risk level; The emergency response strategy sending module is used to send the emergency response strategy to the management terminal.

[0019] In a third aspect, the present application provides a computer device, which adopts the following technical solution: A computer device comprises a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method as described in the first aspect.

[0020] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any one of the methods in the first aspect.

[0021] To summarize, the present application includes at least one of the following beneficial technical effects: by real-time collection and analysis of data of various monitoring indicators in the current monitoring section, combining the impact of time and space factors on safety risks, calculating a comprehensive risk index, and sending risk warning information in a timely manner, it not only improves the accuracy of tunnel safety monitoring, but also provides a scientific basis for tunnel maintenance and management, helps to reduce potential safety risks, prevent accidents, and ensure the stability and safety of tunnel operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a first flow chart of a method for comprehensive monitoring of tunnel safety according to one of the embodiments of the present application.

[0023] Figure 2 This is a second flow chart of a method for comprehensive monitoring of tunnel safety according to one of the embodiments of the present application.

[0024] Figure 3 It is a third flow chart of a method for comprehensive monitoring of tunnel safety according to one of the embodiments of the present application.

[0025] Figure 4 It is a fourth flow chart of a method for comprehensive monitoring of tunnel safety according to one of the embodiments of the present application.

[0026] Figure 5 It is a fifth flow chart of a method for comprehensive monitoring of tunnel safety according to one of the embodiments of the present application. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-5 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0028] The embodiment of the present application discloses a method for comprehensive monitoring of tunnel safety.

[0029] Reference Figure 1 , a tunnel safety comprehensive monitoring method, the monitoring method comprising: Step S101, obtaining structural monitoring data of the current monitoring section in the tunnel; Among them, the monitoring indicators in the structural monitoring data include strain monitoring indicators, vibration monitoring indicators, displacement monitoring indicators, load monitoring indicators and settlement monitoring indicators; In some embodiments, various sensors (such as strain gauges, vibration sensors, displacement meters, etc.) installed at different locations in each monitoring section of the tunnel are used to collect monitoring data inside the tunnel in real time, ensuring that the status of each key location in the tunnel can be fully monitored, providing accurate data support for subsequent risk assessment.

[0030] Step S102, performing data preprocessing on the structure monitoring data; Specifically, the preprocessing step, for example, performs cleaning and smoothing on the structural monitoring data to remove invalid data, outliers and noise to ensure data quality, improve the accuracy of the monitoring data, reduce errors in subsequent analysis, and improve the reliability of risk assessment. Step S103, based on the preset threshold corresponding to each monitoring indicator as a reference, calculate the ratio according to the numerical value corresponding to each monitoring indicator in the preprocessed structural monitoring data to obtain the risk factor corresponding to each monitoring indicator; Among them, based on the preset threshold as a reference, the ratio of the monitoring data to the preset threshold is calculated to obtain the risk factor of each monitoring indicator. This risk factor can quantitatively evaluate the degree of deviation of the monitoring indicator and provide a quantitative basis for risk assessment.

[0031] It should be noted that the preset threshold corresponding to each monitoring indicator can be set in combination with the location of the current monitoring section, based on engineering experience and design requirements, to determine whether the monitoring data reaches or exceeds the limit value of the normal range. For example, it can be determined through steps such as collecting historical monitoring data, data analysis, expert evaluation, determining thresholds, and regular reviews.

[0032] For example, assuming that the preset threshold value of the displacement monitoring indicator of the current monitoring section is configured as 10 mm, and the monitored data is 8 mm, the risk factor of the displacement monitoring indicator is calculated to be R i =8 / 10=0.8.

[0033] Step S104, based on the preset weight coefficient corresponding to each monitoring indicator, weighted average is performed on the risk factor corresponding to each monitoring indicator to obtain the risk index of the current monitoring section; Specifically, according to the importance and impact of each monitoring indicator, a corresponding preset weight coefficient is assigned to each monitoring indicator, and the risk index of the current monitoring section can be calculated by weighted average; wherein the sum of the preset weight coefficients corresponding to all monitoring indicators is 1.

[0034] It should be noted that the preset weight coefficients usually reflect the importance of different monitoring indicators to the overall risk assessment. A preliminary weight coefficient can be given based on engineering experience, and then the hierarchical analysis method can be used to determine the relative importance of the monitoring indicators to obtain a more scientific weight distribution. At the same time, historical data can be used to verify the risk assessment results under different weight coefficients to ensure the rationality of the assessment results.

[0035] Exemplarily, for the preset weight coefficient corresponding to each monitoring indicator, the weight coefficient of the strain monitoring indicator can be configured as 0.3, the weight coefficient of the vibration monitoring indicator can be configured as 0.2, the weight coefficient of the displacement monitoring indicator can be configured as 0.25, the weight coefficient of the load monitoring indicator can be configured as 0.15, and the weight coefficient of the settlement monitoring indicator can be configured as 0.1 according to actual conditions.

[0036] Step S105, performing risk analysis based on the current time information and the current location information of the current monitoring section, and obtaining the time weight coefficient and the space weight coefficient of the current monitoring section respectively; In some embodiments, based on the historical monitoring data of tunnel operation, the risk differences at different time points and different locations can be analyzed to determine the corresponding time weight coefficient and space weight coefficient. By comprehensively considering time and space factors, the risk levels of different locations and times of the tunnel can be more accurately evaluated.

[0037] For example, assuming that the current time is 8 o'clock in the morning, the traffic flow in the tunnel is small at this time, so the time weight coefficient is low and can be set to 0.8; assuming that the current monitoring section is near the tunnel entrance, this location is easily affected by the external environment, and the space weight coefficient is high and can be set to 1.2.

[0038] Step S106, adjusting the risk index of the current monitoring section based on the time weight coefficient and the space weight coefficient to obtain a comprehensive risk index of the current monitoring section; Specifically, the time weight coefficient and space weight coefficient are applied to the adjustment of the risk index to reflect the influence of time and space factors, and a comprehensive risk index is obtained, which can more accurately reflect the actual risk level of the tunnel at different times and locations, and provide more precise data support for risk warning.

[0039] The calculation formula of the comprehensive risk index is: In the above formula, R i represents the risk factor of the ith monitoring indicator, w i is the preset weight coefficient of the ith monitoring indicator. F(t,x) is a combined function of the time weight coefficient and the space weight coefficient, which represents the coefficient that changes with time t and location x, and is used to reflect the risk differences in different time periods and locations.

[0040] Step S107, determining whether the comprehensive risk index of the current monitoring section exceeds a preset risk threshold; if so, jump to step S108; Among them, by pre-setting the risk threshold, potential safety risks can be discovered in time and necessary preventive measures can be taken. In some embodiments, the preset risk threshold can be determined based on engineering experience, and the effectiveness can be verified based on historical data to ensure that it can accurately reflect the risk status of the tunnel.

[0041] Step S108: Send risk warning information to the management terminal according to the location information of the current monitoring section.

[0042] Specifically, if the comprehensive risk index exceeds the preset risk threshold, a risk warning prompt message is sent to the management terminal to inform relevant management personnel. Through timely risk warnings, the ability to respond to emergencies can be improved and the risk of accidents can be reduced.

[0043] In the above implementation mode, comprehensive risk monitoring and assessment of different monitoring sections in the tunnel can be achieved. By real-time collection and analysis of data of various monitoring indicators in the current monitoring section, combined with the impact of time and space factors on safety risks, a comprehensive risk index is calculated, and risk warning information is sent in a timely manner. This not only improves the accuracy of tunnel safety monitoring, but also provides a scientific basis for tunnel maintenance and management, helps to reduce potential safety risks, prevent accidents, and ensure the stability and safety of tunnel operation.

[0044] Reference Figure 2 As an implementation of step S105, the steps of obtaining the time weight coefficient and the space weight coefficient of the current monitoring section according to the current time information and the current position information of the current monitoring section include: Step S201, obtaining sample monitoring data and preprocessing it; wherein the sample monitoring data includes historical structural monitoring data of different monitoring sections in the tunnel at different time points; Specifically, historical structural monitoring data of different monitoring sections in the tunnel at different time points are collected, including but not limited to strain, vibration, displacement, load, settlement, etc., and these data are preprocessed, such as cleaning, filling, and standardization, to remove invalid data, outliers and noise to ensure data quality.

[0045] Step S202, extracting features from the preprocessed sample monitoring data to obtain time series sample features and spatial sample features; Among them, the time dimension of monitoring data can reveal the law of periodic changes, while the distribution of spatial dimension can reflect the differences in stability in different areas. Through feature extraction, key time series features (such as periodicity and trend) and spatial features (such as aggregation and discreteness) can be extracted from large-scale monitoring data.

[0046] For example, assuming that in a certain tunnel section, the strain of the section is monitored to fluctuate periodically at the same time point every day, and in a certain specific area, the strain value is always significantly higher than that in other areas. The periodic characteristics of the strain can be extracted from the time dimension, and the clustering characteristics of the strain values ​​in the area can be extracted from the spatial dimension.

[0047] Step S203, performing time series analysis according to the time series sample characteristics, and constructing a time characteristic analysis model; in some embodiments, the time series sample characteristics can be used to construct a time characteristic analysis model, such as an ARIMA model (autoregressive integrated moving average model), which can capture the regularity in the time dimension, such as periodic changes and long-term trends, so as to calculate the corresponding risk weight; by dynamically evaluating the structural status and safety of the tunnel in the time dimension, potential risks can be discovered in advance and the accuracy of the prediction can be improved.

[0048] Step S204, performing spatial statistical analysis according to the spatial sample characteristics to construct a spatial characteristic analysis model; Among them, the purpose of spatial statistical analysis is to identify which areas have higher risks by modeling spatial characteristics. The spatial autocorrelation analysis method can be used to quantify the distribution characteristics of spatial data to reveal the differences in structural stability and safety between different areas. It can more accurately identify and locate high-risk sections in the tunnel, making spatial dimension monitoring more refined and ensuring structural safety.

[0049] For example, if the spatial autocorrelation analysis method is used to determine that the historical strain values ​​of a certain section of tunnel at multiple monitoring points are high and have strong spatial clustering, then it can be determined that there is a high structural risk in this area, and a correspondingly higher risk weight can be configured.

[0050] Step S205, obtaining current time information and current location information of the current monitoring section; Specifically, in the real-time monitoring process, the current time information and the spatial information of the current monitoring section are dynamic input variables. The purpose of obtaining this information is to apply the previously constructed time and space analysis models in real time and calculate the corresponding risk weights in real time.

[0051] For example, when the system detects that the current time is 10 o'clock in the evening and the current monitoring section is located in a high strain area in the middle of the tunnel, the previously established analysis model will be immediately called to calculate the risk weight of the current time point and the spatial location.

[0052] Step S206, based on the time characteristic analysis model, calculate the risk weight corresponding to the current time information to obtain the time weight coefficient; Among them, the time characteristic analysis model is used to calculate the cycle or trend of the current time point, and the time weight coefficient is determined according to the model output to reflect the possible risk level at the current time; For example, assuming that the current time is 10 o'clock in the evening, the time characteristic analysis model finds that there are several records of historical tunnel strain data in this period that belong to the potential peak period, and a higher risk weight coefficient is obtained accordingly.

[0053] Step S207, based on the spatial feature analysis model, calculate the risk weight corresponding to the current location information of the current monitoring section to obtain the spatial weight coefficient.

[0054] Among them, the spatial feature analysis model is used to evaluate the risk distribution of the current location information, and then the corresponding spatial weight coefficient is calculated. This coefficient reflects the specific geographical risk of the current monitoring location.

[0055] For example, assuming that the current monitoring section is at a tunnel bend, the spatial feature analysis model shows that the historical monitoring data of this section often show high strain, so the corresponding spatial weight coefficient will be higher.

[0056] Specifically, the time weight coefficient and the space weight coefficient can be combined to form a comprehensive weight matrix, and the calculation formula is: F(t,x) = W t (t)·W x (x); where W t (t) represents the risk weight corresponding to the current time information t, W x (x) represents the risk weight corresponding to the current location information x.

[0057] Among them, F(t,x) is a function related to time and spatial position, which is used to quantify the risk difference caused by the change of time t and spatial position x, so as to more accurately evaluate the risk level of different locations and times in the tunnel.

[0058] For example, assuming that the time weight coefficient of the current time point is 0.8 and the space weight coefficient of the current position is 0.9, then according to the calculation formula, F(t,x) is 0.72. Substituting this function into the calculation formula of the comprehensive risk index can adjust the risk index.

[0059] In the above implementation, by extracting and analyzing the temporal and spatial characteristics of historical monitoring data of different sections in the tunnel and combining them with real-time monitoring data, the sensitivity and accuracy of the tunnel safety monitoring system can be effectively improved, providing a comprehensive risk assessment, thereby achieving a more refined safety level division and monitoring strategy.

[0060] As an implementation of step S106, the risk index of the current monitoring section is adjusted based on the time weight coefficient and the space weight coefficient to obtain the comprehensive risk index of the current monitoring section, including: According to the time weight coefficient and the space weight coefficient, the time and space weight coefficient of the current monitoring section is obtained; According to the spatiotemporal weight coefficient and the risk index of the current monitoring section, the comprehensive risk index of the current monitoring section is calculated as: Among them, R i is the risk factor of the ith monitoring indicator, w i is the preset weight coefficient of the ith monitoring indicator, F(t,x) is the spatiotemporal weight coefficient of the current monitoring section, that is, the product of the time weight coefficient and the space weight coefficient; F(t,x) represents the coefficient that changes with the change of time t and location x, and is used to reflect the risk differences in different time periods and locations.

[0061] Reference Figure 3 As a further implementation of the monitoring method, after the step of determining whether the comprehensive risk index of the current monitoring section exceeds the preset risk threshold in step S107, the method further includes: If the comprehensive risk index of the current monitoring section does not exceed the preset risk threshold, jump to step S301; Step S301, obtaining environmental monitoring data of the current monitoring section and performing preprocessing; Among them, environmental monitoring data include but are not limited to temperature, humidity, rainfall, wind speed, air quality, etc.; these data may be affected by noise interference or equipment errors, so they need to be preprocessed (such as removing outliers, data smoothing, standardization, etc.) to ensure the accuracy of subsequent analysis.

[0062] It is understandable that although the comprehensive risk index does not exceed the preset risk threshold, there may still be certain safety hazards. In order to more comprehensively evaluate the safety status of the tunnel, in addition to considering the structural monitoring data, it is necessary to further analyze the impact of environmental factors to adjust the risk assessment results.

[0063] Step S302, performing risk analysis based on the pre-processed environmental monitoring data to obtain an environmental weight coefficient corresponding to the environmental monitoring data; Among them, the environmental weight coefficient can quantify the impact of environmental factors on tunnel safety. By analyzing the pre-processed environmental monitoring data, the system can evaluate the impact of different environmental factors on the risk of the current monitoring section and assign corresponding weight coefficients to accurately reflect the actual risk situation of environmental conditions to the current monitoring section, thereby improving the rationality of risk adjustment.

[0064] Step S303, adjusting the comprehensive risk index of the current monitoring section based on the environmental weight coefficient to obtain an adjusted comprehensive risk index; Specifically, by multiplying the comprehensive risk index by the risk weight corresponding to the environmental monitoring data, the comprehensive risk index can be appropriately enlarged or reduced. This is to more accurately reflect the impact of the current environment on the overall risk of the section, that is, to correct the general comprehensive risk index into a comprehensive risk index after considering environmental factors, so as to more comprehensively evaluate the safety status of the tunnel and improve the accuracy of risk assessment.

[0065] For example, assuming that the original comprehensive risk index is 0.8, the risk weight corresponding to the environmental monitoring data is 1.2 (assuming that under specific circumstances the analysis shows that the impact of rainfall in the environmental monitoring data on the displacement data is very significant), this risk weight can be incorporated into the comprehensive risk index for adjustment, and the adjusted comprehensive risk index is 0.96.

[0066] Step S304, determining whether the adjusted comprehensive risk index exceeds a preset risk threshold; if so, jumping to step S305; Among them, the adjusted comprehensive risk index is evaluated again to check whether it exceeds the preset risk threshold. This step aims to determine the actual risk situation after adjustment of environmental factors and provide a basis for the next step of operation.

[0067] For example, if the adjusted comprehensive risk index is 0.96 and the preset risk threshold is 0.9, it is judged to exceed the preset risk threshold.

[0068] Step S305: Send risk warning information to the management terminal according to the location information of the current monitoring section.

[0069] In the above implementation mode, when the comprehensive risk index does not exceed the preset risk threshold, the influence of environmental factors is further considered and the comprehensive risk index is adjusted to more comprehensively evaluate the safety status of the tunnel, especially when environmental factors may have a significant impact on tunnel safety. By considering these factors, potential safety hazards can be discovered earlier, and necessary preventive measures can be taken to ensure the safe operation of the tunnel.

[0070] Reference Figure 4As an implementation method of step S302, the step of performing risk analysis based on the pre-processed environmental monitoring data to obtain the environmental weight coefficient corresponding to the environmental monitoring data includes: Step S401, obtaining historical environmental monitoring data and historical structural monitoring data of the current monitoring section and performing preprocessing; The historical environmental monitoring data include but are not limited to the temperature, humidity, rainfall, wind speed, air quality and other historical data of the current monitoring section, and the historical structural monitoring data include but are not limited to the strain, vibration, displacement, load, settlement and other historical data of the current monitoring section; Since these historical data may contain noise, missing values, inconsistencies and other problems, preprocessing steps are required, which usually include data denoising, filling missing values, normalization or standardization, etc., to ensure the accuracy and consistency of the data.

[0071] Step S402, extracting time series features from the pre-processed historical environmental monitoring data and historical structural monitoring data to obtain time series environmental features and time series structural features; Specifically, time series feature extraction is to capture key features from continuous time series data, such as trend, periodicity, fluctuation amplitude, etc. These features can reflect the regularity and abnormality of data changes over time, and can better understand the law of monitoring data changes over time and provide useful information for subsequent risk assessment.

[0072] For example, assuming that the collected rainfall data shows obvious seasonal changes, the time series environmental characteristics can be extracted through time series analysis; at the same time, the monitored displacement data also shows a certain periodic fluctuation, and the time series structural characteristics can be extracted through time series analysis.

[0073] Step S403, constructing a correlation analysis model based on the time series environmental characteristics and the time series structural characteristics; Among them, the correlation analysis model aims to analyze the relationship between different environmental factors and structural performance, that is, to evaluate the changes in parameters such as strain and displacement of the structure under certain environmental conditions, so as to reveal the correlation between structural monitoring data and environmental monitoring data and provide a scientific basis for risk assessment.

[0074] In one embodiment of the present application, a correlation analysis model can be constructed by using the Pearson correlation coefficient to quantify the linear correlation between environmental monitoring data and structural monitoring data; specifically, the correlation between the time series environmental characteristics and the time series structural characteristics is analyzed by calculating the Pearson correlation coefficient between the two; illustratively, assuming that the calculated Pearson correlation coefficient between the rainfall data and the displacement data is 0.85, it indicates that there is a strong positive correlation between the rainfall and the displacement data, that is, when the rainfall increases, the displacement data also tends to increase.

[0075] It is understandable that in order to more comprehensively assess the safety status of the tunnel, it is necessary to combine the structural monitoring data with the environmental monitoring data and analyze the correlation between them.

[0076] Step S404, based on the correlation analysis model, calculate the risk weight corresponding to the environmental monitoring data to obtain the environmental weight coefficient.

[0077] For example, if the correlation analysis model calculates that for every 1mm increase in rainfall, the displacement data of the current monitoring section increases by 0.05mm, the risk weight corresponding to the rainfall can be calculated accordingly. If in a specific case, the impact of rainfall on displacement data is very significant, the risk weight can be set to be greater than 1.

[0078] In the above implementation mode, after a comprehensive and in-depth analysis of the environmental monitoring data and the structural monitoring data, the final result is a quantitative environmental weight coefficient, which can be used to identify and evaluate the key environmental factors that affect the structural safety, and provide reliable reference data for engineering personnel, which helps to identify potential risks in advance, optimize maintenance plans, and thus improve the long-term safety and stability of the tunnel.

[0079] Reference Figure 5 As a further implementation of the monitoring method, after the step of sending risk warning information to the management terminal according to the location information of the current monitoring section, it also includes: Step S501, based on a preset risk level mapping table, determining the risk index interval according to the comprehensive risk index of the current monitoring section, and determining the risk level of the current monitoring section according to the risk index interval; Among them, the preset risk level mapping table includes the mapping relationship between multiple groups of risk index intervals and risk levels, which is usually established based on expert experience or historical monitoring data. The comprehensive risk index is divided into different risk intervals according to corresponding rules, such as three or more levels of low, medium and high risk, to achieve automatic identification and classification of risks, which is conducive to the targetedness and effectiveness of downstream emergency response decisions.

[0080] Step S502, generating a corresponding emergency response strategy according to the risk level; In some embodiments, each risk level is usually equipped with a specific emergency response strategy, including but not limited to mobilizing resources, initiating emergency procedures, notifying relevant departments, etc. For example, for a medium risk level, a response strategy such as "closely monitor the status and prepare to initiate the second-level emergency procedure" may be generated; for a high risk level, a strategy of "initiating the first-level emergency procedure and immediately blocking the scene" may be generated immediately.

[0081] It should be noted that the key to formulating emergency response strategies is to match the actual risk level to ensure timely and appropriate handling.

[0082] Step S503: Send the emergency response strategy to the management terminal.

[0083] Among them, the emergency response strategy needs to be transmitted to the management personnel's terminals, including mobile phones, computers or dedicated monitoring equipment, in order to initiate specific emergency measures and ensure that the response measures can be implemented quickly to avoid the spread of risks and the expansion of losses.

[0084] In the above implementation, after the risk level is evaluated and the automated emergency response strategy is generated, a systematic and comprehensive solution is provided for risk management in a complex environment. In the entire process, each link from monitoring to response is highly integrated and automated, which reduces the manpower burden and improves the efficiency and accuracy of emergency response. This integrated risk management system greatly enhances the ability of risk prevention and control, helps prevent accidents, reduce losses, and improves the scientificity and timeliness of management decisions.

[0085] In actual application, this application can monitor the safety status of the tunnel structure in real time and accurately. Once it is found that the potential risk exceeds the preset threshold, it can immediately issue a warning message to help managers take timely measures to prevent accidents and improve the safety and reliability of tunnel operations.

[0086] The embodiment of the present application also discloses a comprehensive tunnel safety monitoring system.

[0087] A tunnel safety comprehensive monitoring system, the monitoring system comprising: An acquisition module is used to acquire the structural monitoring data of the current monitoring section in the tunnel; wherein the monitoring indicators in the structural monitoring data include strain monitoring indicators, vibration monitoring indicators, displacement monitoring indicators, load monitoring indicators and settlement monitoring indicators; A preprocessing module, used for preprocessing the structural monitoring data; The risk factor calculation module is used to calculate the ratio of the values ​​corresponding to each monitoring indicator in the preprocessed structural monitoring data based on the preset threshold value corresponding to each monitoring indicator as a reference, so as to obtain the risk factor corresponding to each monitoring indicator; The risk index calculation module is used to perform weighted average of the risk factors corresponding to each monitoring indicator based on the preset weight coefficient corresponding to each monitoring indicator to obtain the risk index of the current monitoring section; The spatiotemporal analysis module is used to perform risk analysis based on the current time information and the current location information of the current monitoring section, and obtain the time weight coefficient and space weight coefficient of the current monitoring section respectively; A comprehensive risk index generation module is used to adjust the risk index of the current monitoring section based on the time weight coefficient and the space weight coefficient to obtain the comprehensive risk index of the current monitoring section; A judgment module is used to judge whether the comprehensive risk index of the current monitoring section exceeds a preset risk threshold; if so, output a first judgment result; The risk warning module is used to respond to the first judgment result and send risk warning prompt information to the management terminal according to the location information of the current monitoring section.

[0088] In the above implementation, by performing real-time collection, preprocessing, risk factor calculation, and risk index calculation on the structural monitoring data of the current monitoring section in the tunnel, the safety status of the current monitoring section can be accurately assessed. The system also combines the time weight coefficient and the space weight coefficient to adjust the risk index, generate a comprehensive risk index, and can promptly determine whether the comprehensive risk index exceeds the preset risk threshold. When the comprehensive risk index exceeds the threshold, the system will automatically send risk warning information to the management terminal, thereby achieving early detection and warning of tunnel safety hazards. This greatly improves the efficiency and accuracy of tunnel safety management, helps prevent accidents, and protects the lives and property of tunnel users.

[0089] As a further implementation of the tunnel safety integrated monitoring system, it also includes: A risk level determination module is used to determine the risk index interval according to the comprehensive risk index of the current monitoring section based on a preset risk level mapping table, and determine the risk level of the current monitoring section according to the risk index interval; An emergency response strategy generation module is used to generate corresponding emergency response strategies according to risk levels; The emergency response strategy sending module is used to send the emergency response strategy to the management terminal.

[0090] In the above implementation, through the evaluation of risk levels and the generation of automated emergency response strategies, a systematic and comprehensive response solution is provided for risk management in complex environments.

[0091] The tunnel safety comprehensive monitoring system of the embodiment of the present application can implement any of the above-mentioned tunnel safety comprehensive monitoring methods, and the specific working process of each module in the tunnel safety comprehensive monitoring system can refer to the corresponding process in the above-mentioned method embodiment.

[0092] In the several embodiments provided in this application, it should be understood that the provided methods and systems can be implemented in other ways. For example, the system embodiments described above are only illustrative; for example, the division of a certain module is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.

[0093] The embodiment of the present application also discloses a computer device.

[0094] The computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned comprehensive tunnel safety monitoring method is implemented.

[0095] The embodiment of the present application also discloses a computer-readable storage medium.

[0096] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any one of the above-mentioned tunnel safety comprehensive monitoring methods.

[0097] Among them, computer-readable storage media can be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, apparatus or device; the program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0098] It should be noted that in the above embodiments, the description of each embodiment has different emphases, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0099] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A tunnel safety comprehensive monitoring method, characterized in that: The monitoring method comprises: Acquire structural monitoring data of the current monitoring section in the tunnel; wherein the monitoring indicators in the structural monitoring data include strain monitoring indicators, vibration monitoring indicators, displacement monitoring indicators, load monitoring indicators and settlement monitoring indicators; Performing data preprocessing on the structure monitoring data; Based on the preset threshold value corresponding to each monitoring indicator as a reference, a ratio calculation is performed according to the numerical value corresponding to each monitoring indicator in the preprocessed structural monitoring data to obtain the risk factor corresponding to each monitoring indicator; Based on the preset weight coefficient corresponding to each monitoring indicator, weighted average is performed on the risk factor corresponding to each monitoring indicator to obtain the risk index of the current monitoring section; Perform risk analysis based on current time information and current location information of the current monitoring section to obtain a time weight coefficient and a space weight coefficient of the current monitoring section respectively; Based on the time weight coefficient and the space weight coefficient, the risk index of the current monitoring section is adjusted to obtain a comprehensive risk index of the current monitoring section; Determining whether the comprehensive risk index of the current monitoring section exceeds a preset risk threshold; If so, risk warning information is sent to the management terminal according to the location information of the current monitoring section.

2. A tunnel safety comprehensive monitoring method according to claim 1, characterized in that: The steps of respectively obtaining the time weight coefficient and the space weight coefficient of the current monitoring section according to the current time information and the current position information of the current monitoring section include: Acquire sample monitoring data and perform preprocessing; wherein the sample monitoring data includes historical structural monitoring data of different monitoring sections in the tunnel at different time points; Extracting features from the preprocessed sample monitoring data to obtain time series sample features and spatial sample features; Performing time series analysis according to the time series sample characteristics to construct a time feature analysis model; Performing spatial statistical analysis according to the spatial sample characteristics to construct a spatial feature analysis model; Acquiring current time information and current location information of the current monitoring section; Based on the time feature analysis model, the risk weight corresponding to the current time information is calculated to obtain the time weight coefficient; based on the space feature analysis model, the risk weight corresponding to the current location information of the current monitoring section is calculated to obtain the space weight coefficient.

3. A tunnel safety comprehensive monitoring method according to claim 2, characterized in that: The step of adjusting the risk index of the current monitoring section based on the time weight coefficient and the space weight coefficient to obtain the comprehensive risk index of the current monitoring section includes: According to the time weight coefficient and the space weight coefficient, the time and space weight coefficient of the current monitoring section is obtained; according to the time and space weight coefficient and the risk index of the current monitoring section, the comprehensive risk index of the current monitoring section is calculated as follows: Among them, R i is the risk factor of the ith monitoring indicator, w i is the preset weight coefficient of the ith monitoring indicator, and F(t,x) is the spatiotemporal weight coefficient of the current monitoring section, that is, the product of the time weight coefficient and the space weight coefficient.

4. A tunnel safety comprehensive monitoring method according to claim 1, characterized in that: After the step of determining whether the comprehensive risk index of the current monitoring section exceeds the preset risk threshold, the following step is further included: If the comprehensive risk index of the current monitoring section does not exceed the preset risk threshold, then obtaining the environmental monitoring data of the current monitoring section and performing preprocessing; Perform risk analysis based on the preprocessed environmental monitoring data to obtain an environmental weight coefficient corresponding to the environmental monitoring data; Based on the environmental weight coefficient, the comprehensive risk index of the current monitoring section is adjusted to obtain an adjusted comprehensive risk index; Determining whether the adjusted comprehensive risk index exceeds a preset risk threshold; If so, risk warning information is sent to the management terminal according to the location information of the current monitoring section.

5. A tunnel safety comprehensive monitoring method according to claim 4, characterized in that: The step of performing risk analysis based on the pre-processed environmental monitoring data to obtain an environmental weight coefficient corresponding to the environmental monitoring data comprises: Acquire historical environmental monitoring data and historical structural monitoring data of the current monitoring section and perform preprocessing; Extract time series features from the preprocessed historical environmental monitoring data and historical structural monitoring data to obtain time series environmental features and time series structural features; Based on the time series environmental characteristics and time series structural characteristics, a correlation analysis model is constructed; Based on the correlation analysis model, the risk weight corresponding to the environmental monitoring data is calculated to obtain the environmental weight coefficient.

6. A tunnel safety comprehensive monitoring method according to any one of claims 1 to 5, characterized in that: After the step of sending risk warning information to the management terminal according to the location information of the current monitoring section, the step further includes: Based on a preset risk level mapping table, determine the risk index interval according to the comprehensive risk index of the current monitoring section, and determine the risk level of the current monitoring section according to the risk index interval; Generate a corresponding emergency response strategy according to the risk level; The emergency response strategy is sent to the management terminal.

7. A tunnel safety comprehensive monitoring system, characterized in that: The monitoring system comprises: An acquisition module is used to acquire the structural monitoring data of the current monitoring section in the tunnel; wherein the monitoring indicators in the structural monitoring data include strain monitoring indicators, vibration monitoring indicators, displacement monitoring indicators, load monitoring indicators and settlement monitoring indicators; a preprocessing module is used to perform data preprocessing on the structural monitoring data; A risk factor calculation module, which is used to calculate the ratio of the values ​​corresponding to each monitoring indicator in the preprocessed structural monitoring data based on the preset threshold value corresponding to each monitoring indicator as a reference, so as to obtain the risk factor corresponding to each monitoring indicator; a risk index calculation module, which is used to perform weighted average of the risk factors corresponding to each monitoring indicator based on the preset weight coefficient corresponding to each monitoring indicator, so as to obtain the risk index of the current monitoring section; A spatiotemporal analysis module, used to perform risk analysis based on current time information and current location information of the current monitoring section, and obtain a time weight coefficient and a space weight coefficient of the current monitoring section respectively; A comprehensive risk index generating module, used for adjusting the risk index of the current monitoring section based on the time weight coefficient and the space weight coefficient to obtain the comprehensive risk index of the current monitoring section; A judgment module, used to judge whether the comprehensive risk index of the current monitoring section exceeds a preset risk threshold; if so, output a first judgment result; The risk warning module is used to respond to the first judgment result and send risk warning prompt information to the management terminal according to the location information of the current monitoring section.

8. A tunnel safety comprehensive monitoring system according to claim 7, characterized in that: Also includes: A risk level determination module, configured to determine the risk index interval of the current monitoring section according to the comprehensive risk index of the current monitoring section based on a preset risk level mapping table, and determine the risk level of the current monitoring section according to the risk index interval; An emergency response strategy generation module, used to generate a corresponding emergency response strategy according to the risk level; The emergency response strategy sending module is used to send the emergency response strategy to the management terminal.

9. A computer device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method according to any one of claims 1 to 6 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 6.

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