Intelligent monitoring method for tunnel construction quality safety

Abstract

The invention provides a tunnel construction quality safety intelligent monitoring method, and relates to the technical field of tunnel construction safety monitoring. The method comprises the following steps: acquiring historical tunnel construction monitoring data, and performing safety data analysis based on tunnel types to form type tunnel safety reference basic data; collecting real-time construction monitoring data of the target tunnel, and performing monitoring analysis in combination with the type tunnel safety reference basic data to form real-time safety monitoring analysis result data; and performing safety early warning according to the real-time safety monitoring analysis result data, and collecting real-time monitoring image data for early warning monitoring analysis to form safety early warning monitoring analysis result data. According to the method, direct data acquisition and analysis are carried out on the engineering condition of on-site construction, so that safety early warning can be timely and accurately provided, and the timeliness and effectiveness of safety monitoring are powerfully ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel construction safety monitoring technology, and in particular to a method for intelligently monitoring the quality and safety of tunnel construction. Background Art

[0002] Tunnel construction is a crucial building type in the construction industry. Tunnel construction itself has its own unique construction techniques and characteristics, making safety management of tunnel construction particularly important. With the development of society and advancements in technology, tunnel construction safety management has gradually become more streamlined and intelligent, making it more efficient and reasonable.

[0003] However, the current intelligent management of tunnel construction safety is still mainly focused on the analysis, processing and management of safety information flows, and there is no direct monitoring and analysis of raw safety data based on on-site conditions. This makes it impossible to quickly and promptly analyze and judge safety emergencies that occur on-site, resulting in delayed safety warnings and certain on-site safety hazards.

[0004] Therefore, it is an urgent problem to design an intelligent monitoring method for tunnel construction quality and safety, which can directly collect and analyze data on the on-site construction engineering conditions, and then provide timely and accurate safety warnings, effectively ensuring the timeliness and effectiveness of safety monitoring. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent monitoring method for the quality and safety of tunnel construction. By acquiring historical tunnel construction monitoring information, basic safety comparison data of tunnel construction is established, and effective and accurate safety warning comparison data is provided for safety monitoring during real-time tunnel construction. The safety data is directly derived from the on-site engineering situation information of the tunnel construction, so that accurate and effective comparative judgment of the engineering safety situation of the tunnel construction site can be achieved. At the same time, after the comparison and monitoring analysis are completed, reasonable safety warning measures are monitored for the warning prompt information given by the monitoring analysis results, so as to fully ensure the integrity and timeliness of the entire tunnel construction safety management, effectively avoid the occurrence of safety accidents, and make safety warnings more timely and effective.

[0006] In the first aspect, the present invention provides an intelligent monitoring method for tunnel construction quality and safety, including obtaining historical tunnel construction monitoring data, and conducting safety data analysis based on the tunnel type to form type tunnel safety reference basic data; collecting real-time construction monitoring data of the target tunnel, and conducting monitoring and analysis in combination with the type tunnel safety reference basic data to form real-time safety monitoring analysis result data; performing safety warnings based on the real-time safety monitoring analysis result data, and collecting real-time monitoring image data for warning monitoring and analysis to form safety warning monitoring and analysis result data.

[0007] In the present invention, the method establishes basic safety comparison data of tunnel construction by acquiring historical tunnel construction monitoring information, providing effective and accurate safety warning comparison data for safety monitoring during real-time tunnel construction. The safety data is directly derived from the on-site engineering situation information of the tunnel construction, so that accurate and effective comparative judgment of the engineering safety situation of the tunnel construction site can be achieved. At the same time, after the comparison and monitoring analysis are completed, reasonable safety warning measures are monitored for the warning prompt information given by the monitoring analysis results, so as to fully ensure the integrity and timeliness of the entire tunnel construction safety management, effectively avoid the occurrence of safety accidents, and make safety warnings more timely and effective.

[0008] As a possible implementation method, historical tunnel construction monitoring data is obtained, and safety data analysis based on tunnel types is performed to form basic reference data for tunnel safety of the type, including: based on the historical tunnel construction monitoring data, process stress-strain combination characteristic analysis is performed for different historical tunnel construction projects to form tunnel project process stress-strain combination characteristic data for different historical tunnel construction projects; based on the historical tunnel construction monitoring data, historical design parameters of different historical tunnel construction projects are extracted, and feature clustering analysis is performed on the process stress-strain combination characteristic data of different tunnel projects based on the historical design parameters to form basic reference data for tunnel safety of the type.

[0009] In the present invention, the focus of collecting historical tunnel construction monitoring data to establish basic data for tunnel construction safety monitoring and comparison is to conduct safety monitoring on the engineering conditions of tunnel construction. This application mainly extracts safety feature information based on the stress and strain conditions presented by the construction project during the construction process, and forms basic data for safety analysis and comparison of the construction project from the stress and strain aspects. It can be understood that the safety of a construction project is mostly centered around whether the project has stress stability and reliability, and the stability and reliability of the project's stress are mainly analyzed and determined through the stress changes and strain changes of the project. Therefore, when extracting safety monitoring feature information, it is mainly based on the stress changes and strain changes shown by the project during the construction process.

[0010] As a possible implementation method, based on historical tunnel construction monitoring data, a process stress-strain combination characteristic analysis is performed for different historical tunnel construction projects to form tunnel project process stress-strain combination characteristic data for different historical tunnel construction projects, including: extracting process strain monitoring information of each historical tunnel construction project based on the historical tunnel construction monitoring data, performing maximum strain characteristic analysis, and forming tunnel project process strain characteristic data; extracting process stress monitoring information of each historical tunnel construction project based on the historical tunnel construction monitoring data, performing maximum stress characteristic analysis, and forming tunnel project process stress characteristic data; for each historical tunnel construction project, combining the corresponding tunnel project strain characteristic data and tunnel project stress characteristic data to form tunnel project process stress-strain combination characteristic data.

[0011] In this invention, stress and strain coexist during construction, necessitating the extraction of safety monitoring feature information from both perspectives. Finally, combined feature data is generated for safety monitoring analysis, comparison, and judgment, ensuring the safe conduct of construction.

[0012] As a possible implementation method, based on historical tunnel construction monitoring data, the process strain monitoring information of each historical tunnel construction project is extracted, and the maximum strain characteristic analysis is performed to form the process strain characteristic data of the tunnel project, including: for historical tunnel construction projects, the strain measurement value of each strain monitoring point in the historical construction cycle is extracted to form the periodic strain information of the measurement point; a strain level reference distance is set, and for each strain monitoring point, a strain level reference envelope range corresponding to the strain monitoring point is formed with the strain monitoring point as the center and the strain level reference distance as the radius; for each strain monitoring point, the time when the strain monitoring point obtains the maximum strain value is recorded and calibrated as the strain level time point, and the strain values ​​of all strain monitoring points in the strain level reference envelope range corresponding to the strain monitoring point at the strain level time point are obtained to determine the average strain level value; the maximum average strain level value corresponding to the historical tunnel construction project is extracted and calibrated as the tunnel project strain level value. Tunnel project strain level values ​​corresponding to historical tunnel construction projects Form tunnel project process strain characteristic data corresponding to historical tunnel construction projects.

[0013] In the present invention, the extraction of strain characteristic data mainly considers that it is difficult for strain to occur alone at a certain location and that the occurrence of large strain alone cannot fully cause a reduction in the safety of the entire project. Therefore, the strain characteristic data is analyzed with the region as the unit. For each strain monitoring point, the average strain level in a reasonable range area is extracted by determining the maximum strain generated during the entire construction period and then locating the time point when the maximum strain is generated, thereby forming the average strain level for different strain monitoring points. This data determines the maximum strain level that may be generated at different locations of the entire project during the construction period, which is one aspect of measuring the quality of the project. Using it as basic comparative data can control the strain of the project at a safe level during early warning.

[0014] As a possible implementation method, based on the historical tunnel construction monitoring data, the process stress monitoring information of each historical tunnel construction project is extracted, and the maximum stress characteristic analysis is performed to form the process stress characteristic data of the tunnel project, including: for the historical tunnel construction project, the stress measurement value of each stress monitoring point in the historical construction cycle is extracted to form the periodic stress information of the measurement point; based on the periodic stress information of each measurement point, the maximum stress value of each stress monitoring point in the historical construction cycle is extracted; the allowable stress level value is set, and the moment when the stress monitoring point obtains the maximum stress value is recorded for each stress monitoring point, and determined as the stress level time point; and the stress level time point is determined. All stress monitoring points whose adjacent and continuous stress values ​​around the corresponding stress monitoring point at the time point are not less than the allowable stress level value are calibrated, and the determined stress monitoring points are calibrated as stress level monitoring points; according to all stress level monitoring points corresponding to the stress level time point, the average stress level value is determined; according to all stress level monitoring points corresponding to the stress level time point, the two stress level monitoring points with the largest span on the tunnel arc surface are determined, and the angles of the tangents passing through the two stress level monitoring points on the tunnel arc surface are calibrated to form the stress level range angle; the maximum average stress level value corresponding to the historical tunnel construction project is extracted and calibrated as the tunnel project stress level value And the stress level value of the tunnel project The corresponding stress level range angle is calibrated as the tunnel project stress level range angle α n ; For each historical tunnel construction project, the corresponding tunnel project stress level value is collected and tunnel project stress level range angle α n , forming tunnel project process stress characteristic data corresponding to historical tunnel construction projects.

[0015] In the present invention, regarding the extraction of strain characteristic data, it should be noted that, for strain, stress concentration is mostly localized damage and cannot fully cause a decrease in the safety of the entire project. Therefore, the extraction of strain characteristic data still uses the regional range as the data unit for analysis and research. Of course, unlike strain, stress needs to reach a certain level before safety considerations can be made. Therefore, after determining the stress changes of each stress monitoring point throughout the construction cycle through historical monitoring data, the stress impact range can be determined based on the allowable stress level value. Of course, in order to well define the range of stress safety impact, the angle confirmation of the maximum span on the tunnel arc surface can be accurately and effectively determined. As for what stress level can affect the project, the allowable stress level can be obtained based on big data analysis, or it can be determined based on the actual situation of the construction project to meet the personalized needs of the construction project. Of course, after the stress range is determined, the average stress level within the range is still needed to evaluate the stress impact effect to make the safety monitoring analysis more accurate and effective.

[0016] As a possible implementation method, based on historical tunnel construction monitoring data, historical design parameters of different historical tunnel construction projects are extracted, and characteristic clustering analysis is performed on stress-strain combination characteristic data of different tunnel project processes according to the historical design parameters to form basic reference data for type tunnel safety, including: setting strain level clustering deviation, stress level clustering deviation and stress range clustering deviation, and performing the following clustering analysis on different historical tunnel construction projects: If there are any historical tunnel construction projects that meet the requirements that the difference in the corresponding tunnel project strain level values ​​does not exceed the strain level clustering deviation, the difference in the tunnel project stress level values ​​does not exceed the stress level clustering deviation, and the difference in the tunnel project stress level range angles does not exceed the stress range clustering deviation, then for all historical tunnel construction projects that meet the requirements, the corresponding largest tunnel project strain level value in the historical tunnel construction project shall be used as the equivalent tunnel project strain level value after clustering. The corresponding maximum tunnel project stress level value in the historical tunnel construction project is used as the equivalent tunnel project stress level value after clustering. The corresponding maximum tunnel project stress level range angle in the historical tunnel construction project is taken as the equivalent tunnel project stress level range angle α after clustering. mAt the same time, the historical design parameters corresponding to the historical tunnel construction projects are equivalently converted to form equivalent historical design reference quantities, where m represents the number of different clustering items after clustering; if there is no historical tunnel construction project, and at the same time, the difference in the strain level values ​​of the corresponding tunnel projects does not exceed the strain level cluster deviation, the difference in the stress level values ​​of the tunnel projects does not exceed the stress level cluster deviation, and the difference in the stress level range angles of the tunnel projects does not exceed the stress range cluster deviation, then the two historical tunnel construction projects are not clustered; for the remaining historical tunnel construction projects that are not clustered after the clustering is completed, the historical tunnel construction projects are clustered. The corresponding historical design parameters are equivalently converted to form the equivalent historical design reference quantities corresponding to the historical construction projects, and the tunnel project strain level values ​​corresponding to the historical tunnel construction projects are used as the equivalent tunnel project strain level values ​​corresponding to the separate clusters, the tunnel project stress level values ​​corresponding to the historical tunnel construction projects are used as the equivalent tunnel project stress level values ​​corresponding to the separate clusters, and the tunnel project stress level range angles corresponding to the historical tunnel construction projects are used as the equivalent tunnel project stress level range angles corresponding to the separate clusters; the equivalent historical design reference quantities and equivalent tunnel project strain level values ​​corresponding to the different historical tunnel construction project sets formed by the collective clustering are Equivalent tunnel project stress level value and the equivalent tunnel project stress level range angle α m , forming the basic data for reference of tunnel safety of this type.

[0017] In the present invention, it is understood that the safety monitoring data on stress and strain obtained from different tunnel construction projects under big data have similarities between different tunnel construction projects, and thus reasonable clustering can be performed to provide accurate and reasonable comparison data for subsequent real-time tunnel construction safety monitoring comparisons. Since stress and strain have a certain connection for construction projects, the judgment criterion for clustering should be that both strain and stress are within a reasonable fluctuation range before the safety monitoring data of different tunnel construction projects can be considered clustered. Of course, when extracting characteristic information of stress and strain for each historical tunnel construction project, the characteristic values ​​are obtained based on the average level. Therefore, after clustering, the highest level of stress and strain data can be used as the representative data of the cluster to make the characteristic information more representative.

[0018] As a possible implementation method, the historical design parameters corresponding to the historical tunnel construction projects are equivalently converted to form equivalent historical design reference quantities, including: obtaining historical design parameters according to different historical tunnel construction projects, extracting historical tunnel cross-sectional shape information and historical tunnel total design bearing capacity corresponding to different historical tunnel construction projects; setting a unit circle, and determining the unit cross-sectional area of ​​the unit circle; for the historical tunnel construction project, scaling the historical tunnel cross-sectional shape according to the corresponding historical tunnel cross-sectional shape information, so that the scaled cross-sectional shape is located within the unit circle and the boundary of the scaled cross-sectional shape intersects the unit circle the most, and then calibrating the scaled cross-sectional shape as the equivalent cross-sectional shape corresponding to the historical tunnel construction project; determining the equivalent area difference between the area of ​​the equivalent cross-sectional shape and the unit cross-sectional area, and calibrating the largest equivalent area difference as the historical equivalent area difference. Obtain the maximum total design bearing capacity of the historical tunnel corresponding to the historical tunnel construction project and calibrate it as the historical equivalent total bearing capacity F m ; Based on the historical equivalent area difference and historical equivalent total bearing capacity F m , determine the equivalent historical design reference quantity G corresponding to the cluster type m ,in: β1 represents the influence factor of cluster area difference on construction stress and strain, and β2 represents the influence factor of cluster equivalent total establishment on construction stress and strain.

[0019] In the present invention, clustering of different historical tunnel construction projects is carried out through reasonable stress and strain fluctuation ranges, mainly for the purpose of reasonably clustering the design parameters of the tunnels. In this way, during real-time safety monitoring, basic comparative data can be determined first through the design parameters of the tunnel construction, providing a comparative reference for subsequent real-time monitoring. Here, the factors that have a direct impact on stress and strain are mainly the tunnel cross-sectional shape information of the tunnel construction and the total design bearing data of the tunnel. Shape and force are important factors affecting stress and strain. For different tunnel constructions, the cross-sectional shape will be large or small due to needs. Therefore, in order to ensure the comparability of the data, the unit circular cross-section is selected for unification, which can greatly improve the effectiveness of cluster analysis and reduce the complexity of the analysis. As for the influencing factors, they can be determined according to the actual situation, or based on the analysis of big data changes in stress and strain.

[0020] As a possible implementation method, real-time construction monitoring data of the target tunnel is collected and combined with the basic safety reference data of the type tunnel to conduct monitoring analysis to form real-time safety monitoring analysis result data, including: obtaining the target cross-sectional shape information and target total design bearing capacity F of the target tunnel; da; Extract the target cross-sectional shape according to the target cross-sectional shape information, scale the reference unit circle, and determine the equivalent area difference S corresponding to the target tunnel based on the unit cross-sectional area of ​​the unit circle da ; Determine the target equivalent design reference quantity G of the target tunnel according to the following formula: da , where G da =β1*S da +β2*F da ; According to the target equivalent design reference quantity G da , calibrate the closest equivalent historical design reference quantity G in the type tunnel safety reference basic data m , and determine the target equivalent ratio R da ,in, Collect the real-time strain value of each strain measurement point and the real-time stress value of each stress measurement point of the target tunnel, and calculate the equivalent tunnel project strain level value corresponding to the calibrated equivalent historical design reference Equivalent tunnel project stress level value and the equivalent tunnel project stress level range angle α m , combined with the target equivalent ratio R da , conduct monitoring and analysis to form real-time security monitoring and analysis result data.

[0021] In the present invention, real-time tunnel construction safety monitoring first requires determining stress-strain comparison data using design parameters. Considering the rationality of the selected data, reference comparison data that most closely matches the equivalent design reference values ​​is preferred. Of course, due to certain differences between actual construction projects and historical ones, the determined comparison data must be adjusted based on the proportional relationship between the design parameter values ​​to generate truly applicable stress-strain comparison data.

[0022] As a possible implementation method, the real-time strain value of each strain measurement point and the real-time stress value of each stress measurement point of the target tunnel are collected, and the equivalent tunnel project strain level value corresponding to the calibrated equivalent historical design reference is calculated. Equivalent tunnel project stress level value and the equivalent tunnel project stress level range angle α m , combined with the target equivalent ratio R da , conduct monitoring and analysis, and form real-time safety monitoring and analysis result data, including: determining the strain level value of the historical tunnel construction project set and the equivalent tunnel project Corresponding material yield strain values ​​of historical tunnel construction projects And according to the target equivalence ratio R da and the yield strain value of the material used in the target tunnel Determine the strain monitoring level value of the target tunnel in, Determine the stress level values ​​of historical tunnel construction projects and equivalent tunnel projects Corresponding material yield stress values ​​for historical tunnel construction projects And according to the target equivalence ratio R da and the yield stress value of the material used in the target tunnel Determine the stress monitoring level value of the target tunnel in, According to the stress level range angle α of the equivalent tunnel project m and target equivalence ratio R da , determine the stress range monitoring value α of the target tunnel mm , where α mm =α m *R da ; According to the strain monitoring level value Stress monitoring level and stress range monitoring value α mm , and combine the real-time strain value and real-time stress value to perform the following monitoring analysis: If the real-time average strain level value within the strain level reference envelope of any strain measurement point exceeds the strain monitoring level value The real-time average stress level value of any consecutive adjacent stress measurement points exceeds the stress monitoring level value The real-time stress level range angle formed by the stress measurement points involved on the tunnel arc surface exceeds the stress range monitoring value α of the target tunnel. mm , then evacuation warning monitoring information is formed; if the real-time average strain level value within the strain level reference envelope of any strain measurement point does not exceed the strain monitoring level value The real-time average stress level value of any consecutive adjacent stress measurement points exceeds the stress monitoring level value The real-time stress level range angle formed by the stress measurement points involved on the tunnel arc surface exceeds the stress range monitoring value α of the target tunnel. mm , then a warning monitoring information is generated; if the real-time average strain level value within the strain level reference envelope of any strain measurement point exceeds the strain monitoring level value The real-time average stress level value of any consecutive adjacent stress measurement points exceeds the stress monitoring level value The real-time stress level range angle formed by the stress measurement points involved on the tunnel arc surface exceeds the stress range monitoring value α of the target tunnel. mm , then normal operation monitoring information is formed.

[0023] In the present invention, truly reasonable stress-strain data is obtained by converting historical data close to the selected design parameters according to the equivalent ratio. It should be noted that when converting according to the equivalent ratio, it is also necessary to consider the material differences of the construction project. After all, the material is the direct determining factor of the range and limitation of the stress-strain level. Of course, when analyzing and comparing real-time data, since stress and strain are related, only when stress and strain exceed the range at the same time can it be fully determined that the project is highly dangerous and requires emergency evacuation.

[0024] As a possible implementation method, a safety warning is issued based on the real-time safety monitoring analysis result data, and real-time monitoring image data is collected for warning monitoring and analysis to form safety warning monitoring and analysis result data, including: when forming evacuation warning monitoring information, real-time monitoring image data is collected, and an evacuation limit time limit is set to perform a person-based movement judgment analysis: if there is still movement of people after the evacuation limit time limit, unsafe evacuation monitoring information is formed; if there is no movement of people after the evacuation limit time limit, safe evacuation monitoring information is formed.

[0025] In this invention, after monitoring and analyzing the warning results, image monitoring of the construction site after the warning is issued is necessary to ensure the integrity of the construction work. In particular, for the safety of personnel, a reasonable time limit should be given after the evacuation warning information is issued to determine the safety of personnel to ensure the orderly and safe evacuation.

[0026] The beneficial effects of the intelligent monitoring method for tunnel construction quality and safety provided by the present invention are as follows:

[0027] This method establishes basic safety comparison data of tunnel construction by acquiring historical tunnel construction monitoring information, providing effective and accurate safety warning comparison data for real-time safety monitoring during tunnel construction. The safety data is directly derived from the on-site engineering situation information of tunnel construction, so it can achieve accurate and effective comparative judgment of the engineering safety situation of tunnel construction site. At the same time, after the comparison and monitoring analysis are completed, the effectiveness of reasonable safety warning measures is monitored based on the warning prompt information given by the monitoring analysis results, so as to fully ensure the integrity and timeliness of the safety management of the entire tunnel construction, effectively avoid the occurrence of safety accidents, and make safety warnings more timely and effective. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments of the present invention. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0029] Figure 1 A step diagram of the method for intelligently monitoring tunnel construction quality and safety provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings in the embodiments of the present invention.

[0031] Tunnel construction is a crucial building type in the construction industry. Tunnel construction itself has its own unique construction techniques and characteristics, making safety management of tunnel construction particularly important. With the development of society and advancements in technology, tunnel construction safety management has gradually become more streamlined and intelligent, making it more efficient and reasonable.

[0032] However, the current intelligent management of tunnel construction safety is still mainly focused on the analysis, processing and management of safety information flows, and there is no direct monitoring and analysis of raw safety data based on on-site conditions. This makes it impossible to quickly and promptly analyze and judge safety emergencies that occur on-site, resulting in delayed safety warnings and certain on-site safety hazards.

[0033] refer to Figure 1 An embodiment of the present invention provides an intelligent monitoring method for the quality and safety of tunnel construction. The method establishes basic safety comparison data of tunnel construction by acquiring historical tunnel construction monitoring information, and provides effective and accurate safety warning comparison data for safety monitoring during real-time tunnel construction. The safety data is directly derived from the on-site engineering situation information of the tunnel construction, so that accurate and effective comparative judgment of the engineering safety situation of the tunnel construction site can be achieved. At the same time, after the comparison and monitoring analysis are completed, reasonable safety warning measures are monitored for the warning prompt information given by the monitoring analysis results, so as to fully ensure the integrity and timeliness of the entire tunnel construction safety management, effectively avoid the occurrence of safety accidents, and make safety warnings more timely and effective.

[0034] The intelligent monitoring method for tunnel construction quality and safety specifically includes the following steps:

[0035] S1: Obtain historical tunnel construction monitoring data and conduct safety data analysis based on tunnel types to form basic reference data for tunnel safety.

[0036] Obtain historical tunnel construction monitoring data and conduct safety data analysis based on tunnel types to form basic reference data for tunnel safety of the type, including: conducting process stress-strain combination characteristic analysis for different historical tunnel construction projects based on historical tunnel construction monitoring data to form tunnel project process stress-strain combination characteristic data for different historical tunnel construction projects; extracting historical design parameters for different historical tunnel construction projects based on historical tunnel construction monitoring data, and conducting feature clustering analysis on process stress-strain combination characteristic data for different tunnel projects based on the historical design parameters to form basic reference data for tunnel safety of the type.

[0037] The focus of collecting historical tunnel construction monitoring data to establish basic data for tunnel construction safety monitoring comparison is to conduct safety monitoring on the engineering conditions of tunnel construction. This application mainly extracts safety feature information from the stress and strain conditions presented by the construction project during the construction process, and forms basic data for safety analysis and comparison of the construction project from the stress and strain aspects. It can be understood that the safety of a construction project mostly revolves around whether the project has the stability and reliability of stress, and the stability and reliability of the stress of the project are mainly analyzed and determined through the stress changes and strain changes of the project. Therefore, when extracting safety monitoring feature information, it is mainly based on the stress changes and strain changes shown by the project during the construction process.

[0038] Among them, based on the historical tunnel construction monitoring data, a process stress-strain combination characteristic analysis is performed for different historical tunnel construction projects to form tunnel project process stress-strain combination characteristic data of different historical tunnel construction projects, including: extracting the process strain monitoring information of each historical tunnel construction project based on the historical tunnel construction monitoring data, performing a maximum strain characteristic analysis, and forming the tunnel project process strain characteristic data; extracting the process stress monitoring information of each historical tunnel construction project based on the historical tunnel construction monitoring data, performing a maximum stress characteristic analysis, and forming the tunnel project process stress characteristic data; for each historical tunnel construction project, combining the corresponding tunnel project strain characteristic data and tunnel project stress characteristic data to form the tunnel project process stress-strain combination characteristic data.

[0039] Stress and strain exist simultaneously during construction, so it is necessary to extract safety monitoring feature information from both aspects. Finally, combined feature data is generated for safety monitoring analysis and comparison, ensuring the safety of construction.

[0040] Based on the historical tunnel construction monitoring data, the process strain monitoring information of each historical tunnel construction project is extracted, and the maximum strain characteristic analysis is performed to form the process strain characteristic data of the tunnel project, including: for the historical tunnel construction project, the strain measurement value of each strain monitoring point in the historical construction cycle is extracted to form the periodic strain information of the measurement point; the strain level reference distance is set, and for each strain monitoring point, the strain level reference envelope range corresponding to the strain monitoring point is formed with the strain monitoring point as the center and the strain level reference distance as the radius; for each strain monitoring point, the time when the strain monitoring point obtains the maximum strain value is recorded and calibrated as the strain level time point, and the strain values ​​of all strain monitoring points in the strain level reference envelope range corresponding to the strain monitoring point at the strain level time point are obtained to determine the average strain level value; the maximum average strain level value corresponding to the historical tunnel construction project is extracted and calibrated as the tunnel project strain level value. Tunnel project strain level values ​​corresponding to historical tunnel construction projects Form tunnel project process strain characteristic data corresponding to historical tunnel construction projects.

[0041] When extracting strain characteristic data, the main consideration is that strain is difficult to generate in isolation at a single location, and that a single large strain is unlikely to sufficiently reduce the safety of the entire project. Therefore, strain characteristic data is analyzed using regions as the unit of analysis. For each strain monitoring point, the maximum strain generated over the entire construction cycle is determined, and then the time point at which the maximum strain occurs is located to extract the average strain level over a reasonable range of regions, thereby forming the average strain level for different strain monitoring points. This data determines the maximum strain level that may be generated at different locations throughout the project during the construction cycle, and is one aspect of measuring project quality. Using it as basic comparative data can help control the project's strain at a safe level during early warning.

[0042] Based on the historical tunnel construction monitoring data, the process stress monitoring information of each historical tunnel construction project is extracted, and the maximum stress characteristic analysis is performed to form the process stress characteristic data of the tunnel project, including: for the historical tunnel construction project, the stress measurement value of each stress monitoring point in the historical construction cycle is extracted to form the periodic stress information of the measurement point; based on the periodic stress information of each measurement point, the maximum stress value of each stress monitoring point in the historical construction cycle is extracted; the allowable stress level value is set, and the moment when the stress monitoring point obtains the maximum stress value is recorded for each stress monitoring point, and determined as the stress level time point; the corresponding stress level time point is determined All stress monitoring points with adjacent and continuous stress values ​​not less than the allowable stress level value around the stress monitoring point are calibrated as stress level monitoring points; the average stress level value is determined based on all stress level monitoring points corresponding to the stress level time point; the two stress level monitoring points with the largest span on the tunnel arc surface are determined based on all stress level monitoring points corresponding to the stress level time point, and the angle between the tangents passing through the two stress level monitoring points on the tunnel arc surface is calibrated to form the stress level range angle; the maximum average stress level value corresponding to the historical tunnel construction project is extracted and calibrated as the tunnel project stress level value And the stress level value of the tunnel project The corresponding stress level range angle is calibrated as the tunnel project stress level range angle α n ; For each historical tunnel construction project, the corresponding tunnel project stress level value is collected and tunnel project stress level range angle α n , forming tunnel project process stress characteristic data corresponding to historical tunnel construction projects.

[0043] Regarding the extraction of strain characteristic data, it's important to note that, compared to strain, stress concentration often results in localized damage and is insufficient to significantly impact the safety of the entire project. Therefore, strain characteristic data extraction still uses regional data as the analysis unit. However, unlike strain, stress must reach a certain level to be considered safe. Therefore, after determining the stress variations at each stress monitoring point throughout the construction cycle through historical monitoring data, the stress impact range can be determined based on the allowable stress level. Furthermore, to accurately and effectively define the range within which stress impacts safety, the angle of the maximum span within the tunnel arc can be accurately and effectively determined. The allowable stress level that impacts the project can be determined based on big data analysis or based on the actual construction project, tailored to the specific needs of the project. Of course, once the stress range is determined, the average stress level within the range is still required to evaluate the stress impact for more accurate and effective safety monitoring and analysis.

[0044] Based on the historical tunnel construction monitoring data, the historical design parameters of different historical tunnel construction projects are extracted, and the characteristic clustering analysis of the stress-strain combination characteristic data of different tunnel project processes is performed according to the historical design parameters to form the basic reference data for type tunnel safety, including: setting the strain level clustering deviation, stress level clustering deviation and stress range clustering deviation, and performing the following clustering analysis on different historical tunnel construction projects: If there are any historical tunnel construction projects that meet the requirements that the difference in the corresponding tunnel project strain level values ​​does not exceed the strain level clustering deviation, the difference in the tunnel project stress level values ​​does not exceed the stress level clustering deviation, and the difference in the tunnel project stress level range angles does not exceed the stress range clustering deviation, then for all historical tunnel construction projects that meet the requirements, the corresponding largest tunnel project strain level value in the historical tunnel construction project will be used as the equivalent tunnel project strain level value after clustering. The corresponding maximum tunnel project stress level value in the historical tunnel construction project is used as the equivalent tunnel project stress level value after clustering. The corresponding maximum tunnel project stress level range angle in the historical tunnel construction project is taken as the equivalent tunnel project stress level range angle α after clustering. m At the same time, the historical design parameters corresponding to the historical tunnel construction projects are equivalently converted to form equivalent historical design reference quantities, where m represents the number of different clustering items after clustering; if there is no historical tunnel construction project, and at the same time, the difference in the strain level values ​​of the corresponding tunnel projects does not exceed the strain level cluster deviation, the difference in the stress level values ​​of the tunnel projects does not exceed the stress level cluster deviation, and the difference in the stress level range angles of the tunnel projects does not exceed the stress range cluster deviation, then the two historical tunnel construction projects are not clustered; for the remaining historical tunnel construction projects that are not clustered after the clustering is completed, the historical tunnel construction projects are clustered. The corresponding historical design parameters are equivalently converted to form the equivalent historical design reference quantities corresponding to the historical construction projects, and the tunnel project strain level values ​​corresponding to the historical tunnel construction projects are used as the equivalent tunnel project strain level values ​​corresponding to the separate clusters, the tunnel project stress level values ​​corresponding to the historical tunnel construction projects are used as the equivalent tunnel project stress level values ​​corresponding to the separate clusters, and the tunnel project stress level range angles corresponding to the historical tunnel construction projects are used as the equivalent tunnel project stress level range angles corresponding to the separate clusters; the equivalent historical design reference quantities and equivalent tunnel project strain level values ​​corresponding to the different historical tunnel construction project sets formed by the collective clustering are Equivalent tunnel project stress level value and the equivalent tunnel project stress level range angle α m , forming the basic data for reference of tunnel safety of this type.

[0045] It's understandable that the stress and strain safety monitoring data from different tunnel construction projects, captured using big data, exhibit similarities between them. Therefore, reasonable clustering can be performed to provide accurate and reasonable comparative data for subsequent real-time tunnel construction safety monitoring comparisons. Since stress and strain are inherently related in construction projects, the clustering criterion should be that both stress and strain fluctuate within a reasonable range before the safety monitoring data from different tunnel construction projects can be considered clustered. Of course, when extracting stress and strain feature information for each historical tunnel construction project, the eigenvalues ​​are derived based on average levels. Therefore, after clustering, the highest stress and strain data can be used as representative data for the cluster, making the feature information more representative.

[0046] Performing equivalent conversion on the historical design parameters corresponding to the historical tunnel construction projects to form equivalent historical design reference quantities, including: obtaining historical design parameters according to different historical tunnel construction projects, extracting the historical tunnel cross-sectional shape information and the historical tunnel total design bearing capacity corresponding to the different historical tunnel construction projects; setting a unit circle, and determining the unit cross-sectional area of ​​the unit circle; for the historical tunnel construction projects, scaling the historical tunnel cross-sectional shape according to the corresponding historical tunnel cross-sectional shape information, so that the scaled cross-sectional shape is within the unit circle and the boundary of the scaled cross-sectional shape intersects the unit circle the most, and then calibrating the scaled cross-sectional shape as the equivalent cross-sectional shape corresponding to the historical tunnel construction project; determining the equivalent area difference between the area of ​​the equivalent cross-sectional shape and the unit cross-sectional area, and calibrating the largest equivalent area difference as the historical equivalent area difference. Obtain the maximum total design bearing capacity of the historical tunnel corresponding to the historical tunnel construction project and calibrate it as the historical equivalent total bearing capacity F m ; Based on the historical equivalent area difference and historical equivalent total bearing capacity F m , determine the equivalent historical design reference quantity G corresponding to the cluster type m ,in: β1 represents the influence factor of cluster area difference on construction stress and strain, and β2 represents the influence factor of cluster equivalent total establishment on construction stress and strain.

[0047] Clustering different historical tunnel construction projects within reasonable stress and strain fluctuation ranges is primarily aimed at rationally clustering tunnel design parameters. This allows for the initial determination of baseline comparative data based on tunnel construction design parameters during real-time safety monitoring, providing a reference for subsequent real-time monitoring. The factors directly impacting stress and strain are primarily the tunnel cross-sectional shape and overall design load-bearing data from tunnel construction. Shape and load are key factors influencing stress and strain. Cross-sectional shapes vary depending on the construction requirements of different tunnels. Therefore, to ensure data comparability, standardizing the cross-sectional shape using a unit circular cross section significantly improves the effectiveness of cluster analysis and reduces its complexity. Influencing factors can be determined based on actual conditions or through a large-scale analysis of stress and strain variations.

[0048] S2: Collect real-time construction monitoring data of the target tunnel, and conduct monitoring and analysis in combination with basic safety reference data of similar tunnels to form real-time safety monitoring and analysis result data.

[0049] Collect real-time construction monitoring data of the target tunnel, and conduct monitoring and analysis in combination with the basic safety reference data of the type tunnel to form real-time safety monitoring and analysis result data, including: obtaining the target cross-sectional shape information and target total design bearing capacity F of the target tunnel da ; Extract the target cross-sectional shape according to the target cross-sectional shape information, scale the reference unit circle, and determine the equivalent area difference S corresponding to the target tunnel based on the unit cross-sectional area of ​​the unit circle da ; Determine the target equivalent design reference quantity G of the target tunnel according to the following formula: da , where G da =β1*S da +β2*F da ; According to the target equivalent design reference quantity G da , calibrate the closest equivalent historical design reference quantity G in the type tunnel safety reference basic data m , and determine the target equivalent ratio R da ,in, Collect the real-time strain value of each strain measurement point and the real-time stress value of each stress measurement point of the target tunnel, and calculate the equivalent tunnel project strain level value corresponding to the calibrated equivalent historical design reference Equivalent tunnel project stress level value and the equivalent tunnel project stress level range angle α m , combined with the target equivalent ratio R da , conduct monitoring and analysis to form real-time security monitoring and analysis result data.

[0050] Real-time tunnel construction safety monitoring first requires determining stress-strain comparison data using design parameters. Considering the rationality of the selected data, reference comparison data that most closely matches the equivalent design reference values ​​is preferred. Of course, due to certain differences between actual construction projects and historical ones, the determined comparison data must be adjusted based on the proportional relationship between design parameter values ​​to generate truly applicable stress-strain comparison data.

[0051] Collect the real-time strain value of each strain measurement point and the real-time stress value of each stress measurement point of the target tunnel, and calculate the equivalent tunnel project strain level value corresponding to the calibrated equivalent historical design reference Equivalent tunnel project stress level value and the equivalent tunnel project stress level range angle α m , combined with the target equivalent ratio R da , conduct monitoring and analysis, and form real-time safety monitoring and analysis result data, including: determining the strain level value of the historical tunnel construction project set and the equivalent tunnel project Corresponding material yield strain values ​​of historical tunnel construction projects And according to the target equivalence ratio R da and the yield strain value of the material used in the target tunnel Determine the strain monitoring level value of the target tunnel in, Determine the stress level values ​​of historical tunnel construction projects and equivalent tunnel projects Corresponding material yield stress values ​​for historical tunnel construction projects And according to the target equivalence ratio R da and the yield stress value of the material used in the target tunnel Determine the stress monitoring level value of the target tunnel in, According to the stress level range angle α of the equivalent tunnel project m and target equivalence ratio R da , determine the stress range monitoring value α of the target tunnel mm , where α mm =α m *R da ; According to the strain monitoring level value Stress monitoring level and stress range monitoring value α mm , and combine the real-time strain value and real-time stress value to perform the following monitoring analysis: If the real-time average strain level value within the strain level reference envelope of any strain measurement point exceeds the strain monitoring level value The real-time average stress level value of any consecutive adjacent stress measurement points exceeds the stress monitoring level value The real-time stress level range angle formed by the stress measurement points involved on the tunnel arc surface exceeds the stress range monitoring value α of the target tunnel. mm , then evacuation warning monitoring information is formed; if the real-time average strain level value within the strain level reference envelope of any strain measurement point does not exceed the strain monitoring level value The real-time average stress level value of any consecutive adjacent stress measurement points exceeds the stress monitoring level value The real-time stress level range angle formed by the stress measurement points involved on the tunnel arc surface exceeds the stress range monitoring value α of the target tunnel. mm , then a warning monitoring information is generated; if the real-time average strain level value within the strain level reference envelope of any strain measurement point exceeds the strain monitoring level value The real-time average stress level value of any consecutive adjacent stress measurement points exceeds the stress monitoring level value The real-time stress level range angle formed by the stress measurement points involved on the tunnel arc surface exceeds the stress range monitoring value α of the target tunnel. mm , then normal operation monitoring information is formed.

[0052] Truly reasonable stress-strain data is obtained by converting historical data close to the selected design parameters according to an equivalent ratio. It should be noted that when converting according to the equivalent ratio, the differences in construction materials must also be considered. After all, materials are the direct determinant of the range and limits of stress and strain levels. Of course, when analyzing and comparing real-time data, due to the interconnectedness of stress and strain, only the simultaneous occurrence of stress and strain exceeding the range can fully determine that the project is highly dangerous and requires emergency evacuation.

[0053] S3: Provide security warnings based on real-time security monitoring and analysis results data, and collect real-time monitoring image data for warning monitoring and analysis to form security warning monitoring and analysis results data.

[0054] A safety warning is issued based on the real-time safety monitoring analysis result data, and real-time monitoring image data is collected for warning monitoring and analysis to form safety warning monitoring and analysis result data, including: when forming evacuation warning monitoring information, real-time monitoring image data is collected, and an evacuation restriction time limit is set to perform a judgment analysis based on the movement of people: if there is still movement of people after the evacuation restriction time limit, unsafe evacuation monitoring information is formed; if there is no movement of people after the evacuation restriction time limit, safe evacuation monitoring information is formed.

[0055] After monitoring and analyzing early warning results, it is necessary to conduct image monitoring of the construction site after the warning to ensure the integrity of the construction operation. In particular, personnel safety should be assessed within a reasonable time frame after the evacuation warning message is issued to ensure safe and orderly evacuation.

[0056] In summary, the tunnel construction quality and safety intelligent monitoring method provided by the embodiment of the present invention has the following beneficial effects:

[0057] This method establishes basic safety comparison data of tunnel construction by acquiring historical tunnel construction monitoring information, providing effective and accurate safety warning comparison data for real-time safety monitoring during tunnel construction. The safety data is directly derived from the on-site engineering situation information of tunnel construction, so it can achieve accurate and effective comparative judgment of the engineering safety situation of tunnel construction site. At the same time, after the comparison and monitoring analysis are completed, the effectiveness of reasonable safety warning measures is monitored based on the warning prompt information given by the monitoring analysis results, so as to fully ensure the integrity and timeliness of the safety management of the entire tunnel construction, effectively avoid the occurrence of safety accidents, and make safety warnings more timely and effective.

[0058] In the embodiment of the present application, "indication" may include direct indication and indirect indication, and may also include explicit indication and implicit indication. The information indicated by a certain information is called information to be indicated. In the specific implementation process, there are many ways to indicate the information to be indicated, such as but not limited to, the information to be indicated can be directly indicated, such as the information to be indicated itself or the index of the information to be indicated. The information to be indicated can also be indirectly indicated by indicating other information, wherein there is an association relationship between the other information and the information to be indicated. It is also possible to indicate only a part of the information to be indicated, while the other parts of the information to be indicated are known or agreed in advance. For example, the indication of specific information can also be achieved by means of the arrangement order of each piece of information agreed in advance (such as specified in the protocol), thereby reducing the indication overhead to a certain extent. At the same time, the common parts of each piece of information can also be identified and indicated uniformly to reduce the indication overhead caused by indicating the same information separately.

[0059] In addition, the specific indication method can also be various existing indication methods, such as but not limited to the above-mentioned indication methods and various combinations thereof. The specific details of the various indication methods can be referred to the prior art and will not be repeated herein. As can be seen from the above, for example, when it is necessary to indicate multiple information of the same type, there may be a situation where the indication methods for different information are different. In the specific implementation process, the required indication method can be selected according to specific needs. The embodiment of the present application does not limit the selected indication method. In this way, the indication method involved in the embodiment of the present application should be understood to cover various methods that can enable the party to be indicated to obtain the information to be indicated.

[0060] It should be understood that the information to be indicated can be sent as a whole or divided into multiple sub-information and sent separately, and the sending period and / or sending time of these sub-information can be the same or different. The specific sending method is not limited in the embodiments of this application. The sending period and / or sending time of these sub-information can be predefined, for example, predefined according to a protocol, or can be configured by the transmitting device by sending configuration information to the receiving device.

[0061] "Pre-definition" or "pre-configuration" can be implemented by pre-saving corresponding codes, tables or other methods that can be used to indicate relevant information in the device, and the embodiments of the present application do not limit the specific implementation method. Among them, "saving" can mean saving in one or more memories. The one or more memories can be set separately or integrated in an encoder or decoder, a processor, or a communication device. The one or more memories can also be partially set separately and partially integrated in a decoder, a processor, or a communication device. The type of memory can be any form of storage medium, and the embodiments of the present application do not limit this.

[0062] The "protocol" involved in the embodiments of the present application may refer to a protocol family in the communication field, a standard protocol with a similar protocol family frame structure, or a related protocol used in future communication systems. The embodiments of the present application do not make specific limitations on this.

[0063] In the embodiments of the present application, descriptions such as "when...", "in the case of...", "if" and "if" all mean that the device will perform corresponding processing under certain objective circumstances. It does not limit the time, nor does it require the device to perform judgment actions when implemented, nor does it mean that there are other limitations.

[0064] In the description of the embodiments of the present application, unless otherwise specified, " / " indicates that the objects associated with each other are in an "or" relationship. For example, A / B can represent A or B. "And / or" in the embodiments of the present application is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, in the description of the embodiments of the present application, unless otherwise specified, "multiple" refers to two or more than two. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple. In addition, in order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with basically the same functions and effects. Those skilled in the art will understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit differences. At the same time, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or design. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way for easy understanding.

[0065] It should be understood that the processor in the embodiments of the present application may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0066] It should also be understood that the memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0067] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (such as infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0068] It should be understood that the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. A and B can be singular or plural. Furthermore, the character " / " as used herein generally indicates an "or" relationship between the associated objects, but it may also indicate an "and / or" relationship. For specific understanding, please refer to the context.

[0069] In this application, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0070] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0071] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0072] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0073] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0074] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0075] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0076] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0077] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for intelligent monitoring of tunnel construction quality and safety, characterized in that: include: Obtain historical tunnel construction monitoring data and conduct safety data analysis based on tunnel types to form basic reference data for tunnel safety; Collect real-time construction monitoring data of the target tunnel, and conduct monitoring and analysis in combination with the basic safety reference data of the tunnel of the type in question to form real-time safety monitoring and analysis result data; A safety warning is performed based on the real-time safety monitoring and analysis result data, and real-time monitoring image data is collected for warning monitoring and analysis to form safety warning monitoring and analysis result data.

2. The intelligent monitoring method for tunnel construction quality and safety according to claim 1, characterized in that: The acquisition of historical tunnel construction monitoring data and the analysis of safety data based on tunnel types to form basic reference data for tunnel safety of the type include: performing process stress-strain combination characteristic analysis for different historical tunnel construction projects based on the historical tunnel construction monitoring data to generate tunnel project process stress-strain combination characteristic data for different historical tunnel construction projects; Based on the historical tunnel construction monitoring data, historical design parameters of different historical tunnel construction projects are extracted, and characteristic clustering analysis is performed on the stress-strain combination characteristic data of different tunnel project processes based on the historical design parameters to form the basic reference data for tunnel safety of the type.

3. The intelligent monitoring method for tunnel construction quality and safety according to claim 2, characterized in that: The process stress-strain combination characteristic analysis for different historical tunnel construction projects is performed based on the historical tunnel construction monitoring data to form tunnel project process stress-strain combination characteristic data for different historical tunnel construction projects, including: Extracting process strain monitoring information of each historical tunnel construction project based on the historical tunnel construction monitoring data, performing maximum strain characteristic analysis, and forming tunnel project process strain characteristic data; Extracting process stress monitoring information of each historical tunnel construction project based on the historical tunnel construction monitoring data, performing maximum stress characteristic analysis, and forming tunnel project process stress characteristic data; For each of the historical tunnel construction projects, the corresponding tunnel project strain characteristic data and the tunnel project stress characteristic data are combined to form the tunnel project process stress-strain combined characteristic data.

4. The intelligent monitoring method for tunnel construction quality and safety according to claim 3 is characterized in that: The process strain monitoring information of each historical tunnel construction project is extracted based on the historical tunnel construction monitoring data, and maximum strain characteristic analysis is performed to form tunnel project process strain characteristic data, including: For the historical tunnel construction project, extracting the strain measurement value of each strain monitoring point during the historical construction period to form periodic strain information of the measurement point; Setting a strain level reference distance, and for each strain monitoring point, forming a strain level reference envelope range corresponding to the strain monitoring point with the strain monitoring point as the center and the strain level reference distance as the radius; For each strain monitoring point, the time when the strain monitoring point obtains the maximum strain value is recorded and calibrated as the strain level time point, and the strain values ​​of all the strain monitoring points in the strain level reference envelope corresponding to the strain monitoring point at the strain level time point are obtained to determine the average strain level value; Extract the maximum average strain level value corresponding to the historical tunnel construction project and calibrate it as the tunnel project strain level value The tunnel project strain level values ​​corresponding to the historical tunnel construction projects are collected Tunnel project process strain characteristic data corresponding to the historical tunnel construction project is formed.

5. The intelligent monitoring method for tunnel construction quality and safety according to claim 4 is characterized in that: The process stress monitoring information of each historical tunnel construction project is extracted based on the historical tunnel construction monitoring data, and maximum stress characteristic analysis is performed to form tunnel project process stress characteristic data, including: For the historical tunnel construction project, extracting stress measurement values ​​of each stress monitoring point during the historical construction period to form periodic stress information of the measurement point; Extracting the maximum stress value of each stress monitoring point during the historical construction period based on the periodic stress information of each measurement point; Setting an allowable stress level value, recording for each stress monitoring point the time when the stress monitoring point obtains the maximum stress value, and determining the time as the stress level time point; determining all the stress monitoring points adjacent to and continuously surrounding the stress monitoring point corresponding to the stress level time point, whose stress values ​​are not less than the allowable stress level value, and marking the determined stress monitoring points as stress level monitoring points; Determining an average stress level value according to all stress level monitoring points corresponding to the stress level time point; According to all stress level monitoring points corresponding to the stress level time point, the two stress level monitoring points with the largest span on the tunnel arc surface are determined, and the angles of tangents passing through the two stress level monitoring points on the tunnel arc surface are calibrated to form a stress level range angle; Extract the maximum average stress level value corresponding to the historical tunnel construction project and calibrate it as the tunnel project stress level value And the stress level value of the tunnel project The corresponding stress level range angle is calibrated as the tunnel project stress level range angle α n ; For each of the historical tunnel construction projects, the corresponding tunnel project stress level value is set and the tunnel project stress level range angle α n , forming the tunnel project process stress characteristic data corresponding to the historical tunnel construction project.

6. The intelligent monitoring method for tunnel construction quality and safety according to claim 5, characterized in that: The method of extracting historical design parameters of different historical tunnel construction projects based on the historical tunnel construction monitoring data and performing feature cluster analysis on stress-strain combination feature data of different tunnel project processes based on the historical design parameters to form basic reference data for tunnel safety of the type includes: The strain level cluster deviation, stress level cluster deviation, and stress range cluster deviation are set, and the following cluster analysis is performed on different historical tunnel construction projects: If there are any of the historical tunnel construction projects that meet the requirements that the difference in the strain level values ​​of the corresponding tunnel projects does not exceed the strain level cluster deviation, the difference in the stress level values ​​of the tunnel projects does not exceed the stress level cluster deviation, and the difference in the stress level range angles of the tunnel projects does not exceed the stress range cluster deviation, then for all the historical tunnel construction projects that meet the requirements, the corresponding maximum tunnel project strain level value in the historical tunnel construction projects shall be used as the equivalent tunnel project strain level value after clustering. The maximum tunnel project stress level value in the historical tunnel construction project is used as the equivalent tunnel project stress level value after clustering. The maximum tunnel project stress level range angle in the historical tunnel construction project is used as the equivalent tunnel project stress level range angle α after clustering. m , and at the same time, performing equivalent conversion on the historical design parameters corresponding to the historical tunnel construction project to form equivalent historical design reference quantities, wherein m represents the number of different clustering items after clustering; If there is no such historical tunnel construction project, and at the same time the difference in the strain level values ​​of the corresponding tunnel projects does not exceed the strain level cluster deviation, the difference in the stress level values ​​of the tunnel projects does not exceed the stress level cluster deviation, and the difference in the stress level range angles of the tunnel projects does not exceed the stress range cluster deviation, then the two historical tunnel construction projects are not clustered; For the historical tunnel construction projects that remain without clustering after clustering is completed, the historical design parameters corresponding to the historical tunnel construction projects are equivalently converted to form equivalent historical design reference quantities corresponding to the historical construction projects, and the tunnel project strain level values ​​corresponding to the historical tunnel construction projects are used as equivalent tunnel project strain level values ​​corresponding to the individual clusters, the tunnel project stress level values ​​corresponding to the historical tunnel construction projects are used as equivalent tunnel project stress level values ​​corresponding to the individual clusters, and the tunnel project stress level range angles corresponding to the historical tunnel construction projects are used as equivalent tunnel project stress level range angles corresponding to the individual clusters; The equivalent historical design reference quantity and the equivalent tunnel project strain level value corresponding to the different historical tunnel construction project sets formed by clustering The equivalent tunnel project stress level value And the stress level range angle α of the equivalent tunnel project m , forming the basic reference data for the safety of the tunnel of the said type.

7. The intelligent monitoring method for tunnel construction quality and safety according to claim 6, characterized in that: The equivalent conversion of the historical design parameters corresponding to the historical tunnel construction project to form equivalent historical design reference quantities includes: Obtaining historical design parameters of different historical tunnel construction projects, and extracting historical tunnel cross-sectional shape information and total design bearing capacity of historical tunnels corresponding to different historical tunnel construction projects; Setting a unit circle and determining a unit cross-sectional area of ​​the unit circle; For the historical tunnel construction project, scaling the historical tunnel cross-section according to the corresponding historical tunnel cross-sectional shape information so that the scaled cross-sectional shape is within the unit circle and the boundary of the scaled cross-sectional shape intersects the unit circle the most, and calibrating the scaled cross-sectional shape as the equivalent cross-sectional shape corresponding to the historical tunnel construction project; Determine the equivalent area difference between the area of ​​the equivalent cross-sectional shape and the unit cross-sectional area, and mark the largest equivalent area difference as the historical equivalent area difference Obtain the maximum total design bearing capacity of the historical tunnel corresponding to the historical tunnel construction project, and calibrate it as the historical equivalent total bearing capacity F m ; According to the historical equivalent area difference and the historical equivalent total bearing capacity F m , determine the equivalent historical design reference quantity G corresponding to the cluster type m ,in: β1 represents the influence factor of cluster area difference on construction stress and strain, and β2 represents the influence factor of cluster equivalent total establishment on construction stress and strain.

8. The intelligent monitoring method for tunnel construction quality and safety according to claim 7, characterized in that: The real-time construction monitoring data of the target tunnel is collected and monitored and analyzed in combination with the basic safety reference data of the tunnel of the type, to form real-time safety monitoring and analysis result data, including: Obtain the target cross-sectional shape information and target total design bearing capacity F of the target tunnel im ; The target cross-sectional shape is extracted according to the target cross-sectional shape information, and the scaling of the unit circle is performed with reference to the unit cross-sectional area of ​​the unit circle, and the equivalent area difference S corresponding to the target tunnel is determined according to the unit cross-sectional area of ​​the unit circle. im ; The target equivalent design reference quantity G of the target tunnel is determined according to the following formula im , where G im =β1*S im +β2*F im ; According to the target equivalent design reference quantity G im , calibrate the equivalent historical design reference quantity G that is closest to the safety reference basic data of the tunnel of the type m , and determine the target equivalent ratio R am ,in, Collect the real-time strain value of each strain measurement point and the real-time stress value of each stress measurement point of the target tunnel, and calibrate the equivalent tunnel project strain level value corresponding to the equivalent historical design reference value. The equivalent tunnel project stress level value And the stress level range angle α of the equivalent tunnel project m , combined with the target equivalence ratio R im , conduct monitoring and analysis to form real-time security monitoring and analysis result data.

9. The intelligent monitoring method for tunnel construction quality and safety according to claim 8, characterized in that: The real-time strain value of each strain measurement point and the real-time stress value of each stress measurement point of the target tunnel are collected, and the equivalent tunnel project strain level value corresponding to the calibrated equivalent historical design reference is obtained. The equivalent tunnel project stress level value And the stress level range angle α of the equivalent tunnel project m , combined with the target equivalence ratio R im , conduct monitoring and analysis to form real-time security monitoring and analysis result data, including: Determine the strain level value of the historical tunnel construction project set and the equivalent tunnel project The corresponding material yield strain value of the historical tunnel construction project And according to the target equivalent ratio R im and the yield strain value of the material used in the target tunnel Determine the strain monitoring level value of the target tunnel in, Determine the stress level values ​​of the historical tunnel construction project set and the equivalent tunnel project The corresponding material yield stress value of the historical tunnel construction project And according to the target equivalent ratio R im and the yield stress value of the material used in the target tunnel Determine the stress monitoring level value of the target tunnel in, According to the stress level range angle α of the equivalent tunnel project m and the target equivalence ratio R im , determine the stress range monitoring value α of the target tunnel mn , where α on =α m *R im ; Monitor level values ​​according to the strain The stress monitoring level value And the stress range monitoring value α on , and perform the following monitoring and analysis in combination with the real-time strain value and the real-time stress value: If the real-time average strain level value of any of the strain measurement points within the strain level reference envelope exceeds the strain monitoring level value The real-time average stress level value of any consecutive adjacent stress measurement points exceeds the stress monitoring level value The real-time stress level range angle formed by the stress measurement points involved on the tunnel arc surface exceeds the stress range monitoring value α of the target tunnel. on , then evacuation warning monitoring information is formed; If the real-time average strain level value of any of the strain measurement points within the strain level reference envelope exceeds the strain monitoring level value The real-time average stress level value of any consecutive adjacent stress measurement points exceeds the stress monitoring level value The real-time stress level range angle formed by the stress measurement points involved on the tunnel arc surface exceeds the stress range monitoring value α of the target tunnel. on , then form prompt warning monitoring information; If the real-time average strain level value within the strain level reference envelope of any of the strain measurement points does not exceed the strain monitoring level value The real-time average stress level value of any consecutive adjacent stress measurement points exceeds the stress monitoring level value The real-time stress level range angle formed by the stress measurement points involved on the tunnel arc surface exceeds the stress range monitoring value α of the target tunnel. on , then normal operation monitoring information is formed.

10. The intelligent monitoring method for tunnel construction quality and safety according to claim 9, characterized in that: The security early warning is performed according to the real-time security monitoring analysis result data, and the real-time monitoring image data is collected for early warning monitoring analysis to form the security early warning monitoring analysis result data, including: When the evacuation warning monitoring information is generated, real-time monitoring image data is collected, and an evacuation limit time limit is set to perform a person-based movement judgment analysis: If there is still movement of people after the evacuation limit time limit, it will generate unsafe evacuation monitoring information; If there is no movement of people after the evacuation limit time limit, safe evacuation monitoring information is generated.

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