Monitoring method and monitoring system for self-supporting load-bearing wall body of multi-story and high-rise building

Abstract

The invention relates to the technical field of safety monitoring, in particular to a monitoring method and a monitoring system for a self-supporting load-bearing wall of a multi-story and high-rise building, and the method comprises the steps: recognizing hidden danger features corresponding to each focus point in a to-be-monitored building from a to-be-monitored image, and determining the focus point containing the preset hidden danger features as a target focus point; when there are multiple target concerns, determining an attention space of the to-be-monitored building and a target attention degree of the attention space based on the concerns coordinates of the target concerns and the corresponding preset hidden danger features; determining a target monitoring standard corresponding to each to-be-monitored point based on the target attention and the relative attention distance corresponding to each to-be-monitored point; and identifying surface feature information corresponding to each to-be-monitored point from the to-be-monitored image, and performing safety monitoring on each to-be-monitored point based on the target monitoring standard and the surface feature information corresponding to each to-be-monitored point. The safety monitoring accuracy of the self-supporting load-bearing wall body of the multi-story and high-rise building can be conveniently improved.

Description

Technical Field

[0001] This application relates to the field of safety monitoring technology, and in particular to a monitoring method and system for self-supporting load-bearing walls in multi-story and high-rise buildings. Background Technology

[0002] In the field of modern architecture, multi-story and high-rise buildings have become the mainstream of urban construction due to their high space utilization. As the core structural component of multi-story and high-rise buildings, self-supporting load-bearing walls not only bear their own weight, but also need to withstand various loads from floors, roofs and the external environment. Their safety is directly related to the overall structural stability of multi-story and high-rise buildings and the safety of people's lives and property.

[0003] Currently, safety monitoring of self-supporting load-bearing walls in multi-story and high-rise buildings mainly relies on a combination of manual inspection and traditional instrument testing. Manual inspection primarily depends on technical personnel visually observing the wall surface for cracks, peeling, and other phenomena, and using tools such as crack width gauges and rebound hammers to measure crack width and material strength. However, manual inspection is limited by the experience and subjective judgment of the inspectors. Furthermore, traditional sensor monitoring suffers from problems such as single data acquisition and susceptibility to environmental interference. In addition, there may be a lack of data linkage analysis between multiple monitoring sensors, which may make it difficult to fully reflect the true stress state of the wall, potentially leading to low accuracy in safety monitoring of self-supporting load-bearing walls in multi-story and high-rise buildings. Summary of the Invention

[0004] To improve the accuracy of safety monitoring of self-supporting load-bearing walls in multi-story and high-rise buildings, this application provides a monitoring method and system for self-supporting load-bearing walls in multi-story and high-rise buildings.

[0005] Firstly, this application provides a monitoring method for self-supporting load-bearing walls in multi-story and high-rise buildings, employing the following technical solution: A monitoring method for self-supporting load-bearing walls in multi-story and high-rise buildings includes: Identify the hazard characteristics corresponding to each point of interest within the building to be monitored from the images to be monitored, and determine the points of interest containing preset hazard characteristics as target points of interest; When there are multiple target points of interest, the coordinates of each target point of interest in the building to be monitored are identified, and the attention space of the building to be monitored and the target attention degree of the attention space are determined based on the coordinates of each target point of interest and the corresponding preset hidden danger characteristics. Identify the relative attention distance between each monitoring point in the building to be monitored and the space of interest, and determine the target monitoring standard corresponding to each monitoring point based on the target attention and the relative attention distance corresponding to each monitoring point; The surface feature information corresponding to each monitoring point is identified from the image to be monitored, and safety monitoring is carried out on each monitoring point based on the target monitoring standard and surface feature information corresponding to each monitoring point.

[0006] By adopting the above technical solution, discrete potential hazard points are transformed into spatially correlated spaces of concern by identifying the pre-defined hazard characteristics of points of interest in the image. This facilitates the upgrade from single-point monitoring to regional risk assessment, avoiding the impact of isolated judgments on a single hazard point on the overall safety monitoring results of the building under monitoring. In addition, by analyzing the specific hazard characteristics corresponding to each target point of concern, the target attention level corresponding to the space of concern is determined, which facilitates the quantification of the potential impact of the space of concern on the safety monitoring results of other points under monitoring. By combining the relative distance between the point under monitoring and the space of concern, the target monitoring standards corresponding to each point under monitoring are dynamically adjusted, breaking the limitations of traditional unified standard monitoring and facilitating the intelligent allocation of monitoring resources, thereby helping to improve the pertinence and accuracy of safety monitoring results.

[0007] In one possible implementation, the target monitoring standard corresponding to the monitoring point is determined based on the target attention level and the relative attention distance corresponding to the monitoring point, including: Based on the preset hidden danger characteristics of each target concern point, the concern hazard value of each target concern point is determined, and the concern space is partitioned based on each concern hazard value and the target concern degree to obtain multiple division regions. Each division region corresponds to a different regional concern degree, and the regional concern degree corresponds to the regional monitoring standard. Identify the relative attention distance between the point to be monitored and the attention space, and determine the location type based on the relative attention distance. The location type includes peripheral location and internal location. The relative attention distance is the interval distance between the point to be monitored and the attention center of the attention space. When the location type is a peripheral location, identify the attention division area corresponding to the attention center in the attention space and the attention area monitoring standard corresponding to the attention division area; Based on the relative distance of interest and the monitoring standard of the area of ​​interest, the target monitoring standard corresponding to the point to be monitored is determined.

[0008] By adopting the above technical solutions, the risk assessment of the space of concern is refined from an overall assessment to a zonal quantification, ensuring that each zone has an independent regional monitoring standard. This facilitates spatially differentiated management of risk levels. By analyzing the relative distance between the monitoring point and the space of concern, the location type is determined. Combined with the monitoring standards of the corresponding zone of concern, the target monitoring standards of the monitoring point are dynamically adapted. This breaks the limitation of uniform standards inside and outside the space of concern, making it easier to match the target monitoring standards with the spatial attenuation characteristics of the impact of potential hazards. This improves the rationality of determining the target monitoring standards for the monitoring point and, consequently, the accuracy of safety monitoring of the monitoring point.

[0009] In one possible implementation, when the location type is an internal location, it further includes: Based on the surface feature information of the point to be monitored, it is determined whether the point to be monitored is associated with any other monitoring points. If so, then the associated monitoring area is determined based on the point to be monitored and the associated monitoring point; Based on the degree of overlap between the associated monitoring area and each divided area in the space of interest, and the regional monitoring standard corresponding to each divided area, the target monitoring standard corresponding to the point to be monitored is determined.

[0010] By adopting the above technical solution, when the monitoring point is located within the space of interest, analyzing the surface feature information of the monitoring point facilitates the tracing of the evolution or causes of surface hazards. Analyzing related monitoring points and determining related monitoring areas facilitates early warning of potential chain-reaction damage risks to the monitoring point. By analyzing the overlap between the related monitoring area and various subdivided areas in the space of interest, a comprehensive analysis of the target monitoring standards corresponding to the monitoring point can be conducted, which helps avoid misjudgments caused by the lag of single-point hazards, thereby improving the accuracy of determining the target monitoring standards corresponding to the monitoring point.

[0011] One possible implementation also includes: Identify the structural complexity and volume of the building to be monitored, and determine the scope of the linkage impact corresponding to the building to be monitored based on the structural complexity and volume of the building. If the scope of the linkage influence contains at least two attention spaces, and the average attention of the at least two attention spaces is higher than a preset attention threshold, then the at least two attention spaces are merged to obtain a merged space. Identify the merged volume corresponding to the merged space, and when the merged volume is higher than a preset volume threshold, perform a load-bearing failure simulation based on the merged space to obtain the failure simulation result, and generate reinforcement feedback information based on the failure simulation result.

[0012] By adopting the above technical solution, when the average attention of multiple spaces of concern is high and they are located within the same range of influence, the safety hazards faced by multiple spaces of concern may have a synergistic effect. Merging multiple spaces of concern makes it easier to more accurately assess the overall risk. In addition, by simulating and analyzing the possible impact of the merged space after load-bearing failure, and generating corresponding reinforcement feedback based on this, it is easier to improve the efficiency of relevant maintenance personnel in carrying out safety maintenance.

[0013] In one possible implementation, when the influence of external forces is detected, the following is also included: Based on the surface feature information corresponding to each monitoring point, a representative feedback point is determined from all monitoring points. Based on the external force influence characteristics, the interference simulation is performed on the feedback representative point to obtain the feature evolution trend of the surface feature information corresponding to the feedback representative point. Based on the evolution trend of the aforementioned features, the reinforcement time corresponding to the reinforcement feedback information is determined.

[0014] By adopting the above technical solution, when the influence characteristics of external forces are detected, the feedback representative point is determined through surface feature information, and interference simulation is performed on it. This facilitates accurate prediction of the feature evolution trend of the surface feature information of the feedback representative point, thereby making it easier to intuitively present the structural damage development trend of the feedback representative point. Based on this evolution trend, the reinforcement time corresponding to the reinforcement feedback information is determined, which makes it easier to closely link the reinforcement timing with the actual structural damage evolution of the feedback representative point. This facilitates the transformation from passive response to active prediction, which not only helps relevant maintenance personnel to quickly grasp the urgency of reinforcement and rationally allocate maintenance resources, but also helps to effectively prevent safety accidents caused by untimely reinforcement, thereby improving the pertinence and timeliness of safety maintenance.

[0015] In one possible implementation, determining the feedback representative point from all monitoring points based on the surface feature information corresponding to each monitoring point includes: Obtain the target monitoring standards corresponding to each monitoring point within a preset observation period, determine the monitoring point with the highest target monitoring standard as the first representative point, and determine the first coverage area based on the first representative point and the target monitoring standard corresponding to the first representative point. Obtain the building load information corresponding to the building to be monitored, and based on the building load information, determine the second representative point with the highest load value from all the monitoring points, and determine the second coverage area based on the second representative point and the highest load value; Identify the location of the external force influence characteristics in the building to be monitored, determine the monitoring point closest to the location of the external force influence as the third representative point, and determine the third coverage area based on the third representative point and the relative external force interval between the third representative point and the location of the external force influence; Based on the first coverage area, the second coverage area, and the third coverage area, an overlapping coverage area is determined, and any point within the overlapping coverage area is designated as the feedback representative point.

[0016] By adopting the above technical solution, the first, second, and third representative points and their corresponding coverage areas are determined through three dimensions: target monitoring standards, building load information, and the location of external force influence. This facilitates the identification of high-risk areas of the building to be monitored from three key perspectives: the stringency of monitoring standards, key stress-bearing parts, and areas sensitive to external force impact. Based on this, overlapping coverage areas are determined and feedback representative points are selected, which can focus on the core locations where structural hazards are most concentrated and risks are most prominent, avoiding the limitations and one-sidedness caused by single-point judgments. This facilitates subsequent targeted interference simulation and reinforcement decisions.

[0017] Secondly, this application provides a monitoring system, which adopts the following technical solution: A monitoring system comprising: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform the above-described monitoring method for self-supporting load-bearing walls of multi-story buildings.

[0018] Thirdly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium includes: a computer program stored thereon that can be loaded by a processor and execute the above-described monitoring method for self-supporting load-bearing walls of multi-story buildings.

[0019] Fourthly, this application provides a computer program product, which adopts the following technical solution: A computer program product includes a computer program that, when executed by a processor, implements the aforementioned monitoring method for self-supporting load-bearing walls in multi-story and high-rise buildings.

[0020] In summary, this application includes at least one of the following beneficial technical effects: By identifying pre-defined hazard features of points of interest in images, discrete hazard points are transformed into spatially correlated spaces of interest. This facilitates the upgrade from single-point monitoring to regionalized risk assessment, avoiding the impact of isolated judgments on a single hazard point on the overall safety monitoring results of the building under monitoring. Furthermore, by analyzing the specific hazard features corresponding to each target point of interest, the target attention level corresponding to the space of interest is determined, making it easier to quantify the potential impact of the space of interest on the safety monitoring results of other points under monitoring. By combining the relative distance between the point under monitoring and the space of interest, the target monitoring standards corresponding to each point under monitoring are dynamically adjusted, breaking the limitations of traditional unified standard monitoring and facilitating the intelligent allocation of monitoring resources, thereby helping to improve the pertinence and accuracy of safety monitoring results.

[0021] By refining the risk assessment of the space of concern from a holistic perspective to a zonal quantification, each zone is ensured to have its own independent regional monitoring standards. This facilitates differentiated spatial management of risk levels. By analyzing the relative distance between the monitoring point and the space of concern, the location type is determined. Combined with the monitoring standards of the corresponding zone of concern, the target monitoring standards for the monitoring point are dynamically adapted. This breaks the limitations of uniform standards inside and outside the space of concern, making it easier to match the target monitoring standards with the spatial attenuation characteristics of the impact of potential hazards. This improves the rationality of determining the target monitoring standards for the monitoring point and, consequently, the accuracy of safety monitoring of the monitoring point. Attached Figure Description

[0022] Figure 1 This is a flowchart illustrating a monitoring method for self-supporting load-bearing walls in multi-story buildings according to an embodiment of this application. Figure 2 This is a schematic diagram of the structure of a space of interest in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of a monitoring system according to an embodiment of this application. Detailed Implementation

[0023] The following is in conjunction with the appendix Figures 1 to 3 This application will be described in further detail.

[0024] After reading this specification, those skilled in the art may make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0025] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] It should be noted that, in the optional embodiments of this application, the data related to object information, when applied to specific products or technologies, requires the permission or consent of the object. Furthermore, the collection, use, and processing of this data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. In other words, if the embodiments of this application involve data related to an object, it must be obtained with the object's authorization and consent, the authorization and consent of relevant departments, and in accordance with the relevant laws, regulations, and standards of the country and region. If the embodiments involve personal information, the acquisition of all personal information requires the individual's consent. If sensitive information is involved, the separate consent of the information subject is required. The embodiments also need to be implemented with the object's authorization and consent.

[0027] Specifically, this application provides a monitoring method for self-supporting load-bearing walls in multi-story buildings, executed by a monitoring system. This monitoring system can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, and this application does not impose any limitations on this.

[0028] refer to Figure 1 , Figure 1 This is a flowchart illustrating a monitoring method for self-supporting load-bearing walls in multi-story buildings according to an embodiment of this application. The method includes steps S110-S140, wherein: Step S110: Identify the hazard features corresponding to each point of interest in the building to be monitored from the image to be monitored, and determine the points of interest containing preset hazard features as target points of interest.

[0029] Specifically, the images to be monitored are 3D images of the building to be monitored. These images need to cover different functional areas of the multi-story building, such as corridors, stairwells, and equipment rooms. Images can be acquired by image acquisition devices installed inside and outside the building, drones equipped with optical cameras, or handheld smart terminals, at preset image acquisition angles, and then uploaded to the monitoring system. The points of interest are monitoring points on the self-supporting load-bearing walls within each functional area of ​​the building. These can be stress concentration points, deformation-sensitive points, fire protection facility points, or frequently malfunctioning points, etc. Specific points of interest can be uploaded to the monitoring system in advance by relevant monitoring personnel based on safety monitoring needs. The system can identify potential hazards from the monitored image based on a preset feature recognition algorithm. These hazards include, but are not limited to, crack features, deformation features, and material deterioration features. The specific preset feature recognition algorithm is not limited in this embodiment. The presence of a hazard feature does not necessarily indicate a safety hazard at the point of interest. A safety hazard is only identified when the hazard feature evolves into a preset hazard feature. For example, a crack feature could be a non-through crack with a width of 0.1 mm, which may be caused by concrete shrinkage and poses a low risk. However, a preset hazard feature could be a through crack with a width of 0.3 mm, exceeding the crack control limit in GB50010 and potentially causing steel corrosion. The system determines whether each point of interest contains a preset hazard feature and identifies those points containing the preset hazard feature as target points of interest. The number of target points of interest is not specifically limited in this embodiment.

[0030] Step S120: When there are multiple target points of interest, identify the coordinates of each target point of interest in the building to be monitored, and determine the attention space and target attention level of the building to be monitored based on the coordinates of each target point of interest and the corresponding preset hidden danger characteristics.

[0031] Specifically, when there are multiple target points of interest, it may indicate that the building to be monitored faces significant safety risks. In this case, further analysis is needed based on the specific location and specific risk situation of each target point of interest within the building. Specifically, when determining the coordinates of the target points of interest within the building, feature coordinates can first be located in the image to be monitored based on the preset risk features corresponding to each target point of interest. Then, the image to be monitored is imported into a preset coordinate system to obtain the coordinates of the target points of interest corresponding to the feature coordinates. The specific method for determining the coordinates of the target points of interest is not specifically limited in this embodiment. The focus space of the building to be monitored can be formed by connecting at least four target points of interest, such as... Figure 2As shown, the three-dimensional space formed by target interest point 1, target interest point 2, target interest point 3, and target interest point 4 can be identified as the space of interest. Since the building to be monitored is a multi-story building, there may be multiple spaces of interest corresponding to the building to be monitored; the specific number is not specifically limited in this embodiment. The target attention level corresponding to the space of concern is a comprehensive quantitative indicator of the cluster risk of target attention points in the self-supporting load-bearing walls of multi-story and high-rise buildings. It integrates the spatial location correlation of target attention points with the specific pre-set hazard characteristics and hazards, and is used to characterize the urgency of structural safety hazards within the space of concern. When determining the target attention level, the pre-set hazard characteristics corresponding to each target attention point within the space of concern can be normalized to obtain the hazard characteristic value corresponding to each target attention point. The mean value of each hazard characteristic value is calculated to obtain the mean hazard value of the corresponding space of concern. Finally, the target attention level corresponding to the mean hazard value is determined based on the pre-set attention level mapping relationship. The pre-set attention level mapping relationship is the correspondence between the mean hazard value and the target attention level. The specific content is not specifically limited in this embodiment of the application, and can be determined by relevant personnel based on historical experimental data and uploaded to the monitoring system. The higher the target attention level, the higher the risk value of the corresponding area, and the higher the monitoring standard used for safety monitoring. That is, there is a correspondence between the target attention level and the monitoring standard. The correspondence between the target attention level and the corresponding monitoring standard is not specifically limited in this embodiment of the application, and can be determined by relevant personnel based on historical experimental data and uploaded to the monitoring system.

[0032] Step S130: Identify the relative attention distance between each monitoring point in the building to be monitored and the space of interest, and determine the target monitoring standard corresponding to each monitoring point based on the target attention and the relative attention distance corresponding to each monitoring point.

[0033] Specifically, the monitoring points are the monitoring points on the self-supporting load-bearing walls that require safety monitoring. These points can be set by relevant monitoring personnel according to actual safety monitoring needs. Each monitoring point corresponds to a monitoring number, and the coordinates of each monitoring point can be directly located from the monitoring image based on the monitoring number. The relative attention distance between the monitoring point and the space of interest is the distance between the center of the monitoring point and the space of interest. After determining the relative attention distance, the standard weight corresponding to the relative attention distance can be determined based on a preset standard weight mapping relationship. Finally, based on the standard weight and the corresponding monitoring standard of the space of interest, the target monitoring standard corresponding to the monitoring point is determined. The longer the relative attention distance, the smaller the corresponding standard weight, and the lower the corresponding target monitoring standard. The preset standard weight mapping relationship is the correspondence between the relative attention distance and the standard weight, and its specific content is not specifically limited in this embodiment. For example, if the relative distance of interest for monitoring point 'a' is 10 meters and the relative distance of interest for monitoring point 'b' is 5 meters, a safety hazard is determined for monitoring point 'a' only when the crack width reaches 0.8 mm. Conversely, a safety hazard is determined for monitoring point 'b' only when the crack width reaches 0.5 mm. Based on this method, the target monitoring standard for any monitoring point can be determined.

[0034] Step S140: Identify the surface feature information corresponding to each monitoring point from the image to be monitored, and perform safety monitoring on each monitoring point based on the target monitoring standard and surface feature information corresponding to each monitoring point.

[0035] Specifically, the surface feature information corresponding to each monitoring point can be identified from the image to be monitored based on a preset feature recognition algorithm. The surface feature information may include hidden danger features and specific hidden danger information corresponding to each hidden danger feature, such as surface cracks, wall peeling, deformation, material deterioration, etc. The preset feature recognition algorithm can be an edge detection algorithm, morphological analysis algorithm, color space conversion algorithm, optical flow method, etc. Different hidden danger features may be applicable to different feature recognition algorithms. Relevant personnel can determine the preset feature recognition algorithm applicable to each hidden danger feature based on historical experimental data and upload it to the monitoring system in advance.

[0036] Targeted safety monitoring is conducted on the monitoring points based on the corresponding target monitoring standards. These standards include various hazard characteristics and specific hazard information corresponding to different risk levels. After monitoring the monitoring points based on these standards, the risk level corresponding to the hazard characteristics at each monitoring point can be intuitively understood. Furthermore, corresponding response measures can be determined based on the risk level of each monitoring point. For example, when the risk level is less than level two, the generated response measure could be "record monitoring data and review next week"; when the risk level is between level two and level five, the generated response measure could be "arrange manual review and increase monitoring frequency"; and when the risk level is level five or higher, the generated response measure could be "activate the emergency plan and restrict use in the relevant area." The generated risk levels and response measures can be pushed to relevant management personnel via API.

[0037] In this embodiment of the application, by identifying the preset hazard features of points of interest in the image, discrete hazard points are transformed into spatially correlated spaces of interest. This facilitates the upgrade from single-point monitoring to regional risk assessment, avoiding the impact of isolated judgments on a single hazard point on the overall safety monitoring results of the building to be monitored. In addition, by analyzing the specific hazard features corresponding to each target point of interest, the target attention level corresponding to the space of interest is determined, which facilitates the quantification of the potential impact of the space of interest on the safety monitoring results of other points to be monitored. By combining the relative distance between the point to be monitored and the space of interest, the target monitoring standards corresponding to each point to be monitored are dynamically adjusted, breaking the limitations of traditional unified standard monitoring and facilitating the intelligent allocation of monitoring resources, thereby helping to improve the pertinence and accuracy of safety monitoring results.

[0038] Furthermore, to improve the rationality of determining the target monitoring standards corresponding to the monitoring points, the determination of the target monitoring standards corresponding to the monitoring points, based on the target attention level and the relative attention distance corresponding to the monitoring points, may specifically include: Based on the preset hazard characteristics of each target concern point, the hazard value for each target concern point is determined. Then, based on each hazard value and the target concern level, the concern space is partitioned into multiple regions. Each region corresponds to a different regional concern level, which in turn corresponds to a regional monitoring standard. The relative concern distance between the monitoring point and the concern space is identified, and the location type is determined based on this distance. Location types include peripheral and internal locations, and the relative concern distance is the interval between the monitoring point and the concern center of the concern space. When the location type is peripheral, the concern division area corresponding to the concern center in the concern space and the corresponding concern area monitoring standard are identified. Based on the relative concern distance and the concern area monitoring standard, the target monitoring standard corresponding to the monitoring point is determined.

[0039] Specifically, the hazard value is a quantitative representation of the potential risk of a target concern point. It can be determined based on both the hazard characteristic type and the hazard characteristic value. Hazard characteristic types can be divided into structural cracks, steel corrosion, wall tilting, concrete spalling, and non-structural cracks, etc. Different hazard characteristic types correspond to different hazard values. The specific method for determining the hazard value is not specifically limited in this embodiment. When performing zoning based on each hazard value and target concern level, the zoning weight corresponding to each target concern point can be determined based on a preset zoning weight mapping relationship and each hazard value. The preset zoning weight mapping relationship is the correspondence between the hazard value and the zoning weight. The higher the hazard value, the higher the corresponding zoning weight. That is, the higher the hazard value, the higher the regional concern level of the corresponding zoning area. The specific content of the preset zoning weight mapping relationship is not specifically limited in this embodiment and can be determined by relevant personnel based on historical experimental data and then uploaded to the monitoring system. After determining the partition weights corresponding to each target concern, the concern space is partitioned based on these weights to obtain multiple regions. The regional concern level varies within each region containing a target concern. When partitioning based on the partition weights, the partitions can be equal or unequal, depending on the number and location of the target concerns, as long as the overall concern space is divided into multiple regions with varying levels of concern. Different regional concerns correspond to different monitoring standards. Partitioning the concern space based on the potential hazard value allows for further refinement of the monitoring standards for each region, thereby improving the accuracy of safety monitoring results.

[0040] After partitioning, the center of interest within the space of interest can be identified, and the relative distance between the monitored point and the space of interest can be calculated, i.e., the interval distance between the monitored point and the center of interest. Based on this interval distance, it can be determined whether the monitored point is located within the space of interest. If the interval distance is less than the preset interval threshold corresponding to the space of interest, it indicates that the monitored point is located inside the space of interest, and the location type is internal. If the interval distance is not less than the preset interval threshold corresponding to the space of interest, it indicates that the monitored point is located outside the space of interest, and the location type is external. When the monitored point is located inside the space of interest, it indicates that the risks faced by the space of interest will have a direct impact on the monitored point. When the monitored point is located outside the space of interest, it indicates that the risks faced by the space of interest will have an indirect impact on the monitored point. Therefore, it is necessary to classify and process monitored points with different location types.

[0041] For monitoring points whose location type is peripheral, determining the corresponding target monitoring standard requires first identifying the defined region where the center of interest is located and obtaining the monitoring standard corresponding to that region. Then, the standard weight is determined based on the distance between the monitoring point and the center of interest. Finally, based on the standard weight and the monitoring standard of the defined region where the center of interest is located, the target monitoring standard for that monitoring point is determined. Using this method, the target monitoring standard for each monitoring point located outside the space of interest can be obtained.

[0042] By refining the risk assessment of the space of concern from an overall perspective to a zonal quantification, each zone is ensured to have an independent regional monitoring standard, which facilitates spatially differentiated management of risk levels. The location type is determined by analyzing the relative distance between the monitoring point and the space of concern, and the target monitoring standard for the monitoring point is dynamically adapted in combination with the monitoring standard of the corresponding zone of concern. This helps to break the limitation of uniform standards inside and outside the space of concern, thereby making it easier to match the target monitoring standard with the spatial attenuation characteristics of the impact of potential hazards.

[0043] Furthermore, when the location type is internal location, the technical method provided in this application also includes: Based on the surface feature information of the point to be monitored, determine whether there are associated monitoring points; if so, determine the associated monitoring area based on the point to be monitored and the associated monitoring points; based on the degree of overlap between the associated monitoring area and each division area in the space of interest, and the regional monitoring standard corresponding to each division area, determine the target monitoring standard corresponding to the point to be monitored.

[0044] Specifically, for monitoring points whose location type is internal, associated monitoring points with spatial, hazard, or structural correlations can be identified from other monitoring points by analyzing the surface feature information of the monitoring point. The surface feature information includes surface feature type and surface feature location. Based on the surface feature location, it can be determined whether the monitoring point is located in a crack concentration area or a high-corrosion zone. If so, other monitoring points located in crack concentration areas and high-corrosion zones are identified as key monitoring points. The surface feature type facilitates the integration of a preset feature library of similar or related hazard features, and other monitoring points containing similar or related hazard features are identified as associated monitoring points. Force transmission simulation is performed based on the surface feature type and surface feature location to obtain the force simulation path, and other monitoring points located on this force simulation path are identified as associated monitoring points. The specific method for determining associated monitoring points is not specifically limited in this embodiment.

[0045] After identifying the associated monitoring points of the point to be monitored, the point to be monitored and each associated monitoring point can be connected to form an associated monitoring area. Since the point to be monitored is located inside the space of interest, there is an overlap between the associated monitoring area formed by the point to be monitored and the space of interest. Furthermore, since the space of interest has already been partitioned, the overlapping area between the associated monitoring area and the space of interest may be in different partitioned areas.

[0046] Based on the edge point information of each overlapping region, the corresponding subdivision region is determined. Then, the degree of overlap between each overlapping region and its corresponding subdivision region is determined. Based on this degree of overlap, the overlap standard weight for each overlapping region is determined, and the regional monitoring standard for the corresponding subdivision region is obtained. Finally, a weighted sum is performed based on each overlap standard weight and the corresponding regional monitoring standard to obtain the target monitoring standard for the point to be monitored. Using this method, the target monitoring standard for each point to be monitored located within the space of interest can be obtained.

[0047] Furthermore, to facilitate a more accurate assessment of overall risk, the method provided in this application embodiment also includes: The system identifies the structural complexity and volume of the building to be monitored, and determines the scope of the linkage effect corresponding to the building based on the structural complexity and volume. If the scope of the linkage effect contains at least two spaces of interest, and the average attention of at least two spaces of interest is higher than a preset attention threshold, then the at least two spaces of interest are merged to obtain a merged space. The system identifies the merged volume corresponding to the merged space, and when the merged volume is higher than a preset volume threshold, it performs a load-bearing failure simulation based on the merged space to obtain the failure simulation results, and generates reinforcement feedback information based on the failure simulation results.

[0048] Specifically, the monitoring requirements for the cascading effects of different buildings may vary. These requirements can be determined based on the building's structural complexity and volume. The cascading effect range of the building can be determined based on a preset building parameter mapping relationship. This preset mapping relationship corresponds to the combination of parameters related to the building's structural complexity and volume, and is uploaded to the monitoring system by relevant personnel based on historical experimental data. The cascading effect range is the area where a chain reaction is highly likely to occur. After determining the cascading effect range of the building to be monitored, it can be used to determine whether two or more spaces of interest are within the cascading effect range. When at least two spaces of interest are within the cascading effect range, it indicates that these two spaces are highly likely to experience a chain reaction in the future, meaning that the risk level faced by the monitored building may increase in the future.

[0049] When at least two spaces of interest are identified within the scope of the linkage effect, the target attention level corresponding to each space of interest is identified, and the average attention level of each target attention level is calculated to obtain the average attention level corresponding to the at least two spaces of interest. When the average attention level is higher than the preset attention level threshold, the at least two spaces of interest can be merged. At this time, the vertex coordinates of the merged space can be located, and the merged volume of the merged space can be determined based on the vertex coordinates. To avoid invalid processing, it can be further determined whether the merged volume is higher than the preset volume threshold. If the merged volume is higher than the preset volume threshold, a failure simulation operation is performed based on the merged space. That is, a local load-bearing failure experiment is performed based on the simulated building model corresponding to the building to be monitored to obtain the load-bearing force changes in other spaces. Based on the load-bearing force changes in other spaces, targeted reinforcement feedback suggestions are given. For example, after the load-bearing failure simulation, it is determined that a corner wall has a deformation risk. Based on the load-bearing force changes of the corner wall, the corresponding steel plate addition location and number of steel plates are determined. By simulating and analyzing the potential impact of a combined space failing under load, and generating corresponding reinforcement feedback, the efficiency of relevant maintenance personnel in carrying out safe maintenance can be improved.

[0050] Furthermore, when external force influence characteristics are detected, the method provided in this application embodiment may further include: Based on the surface feature information corresponding to each monitoring point, a representative feedback point is determined from all monitoring points; based on the external force influence characteristics, the representative feedback point is subjected to interference simulation to obtain the feature evolution trend of the surface feature information corresponding to the representative feedback point; based on the feature evolution trend, the reinforcement time corresponding to the reinforcement feedback information is determined.

[0051] Specifically, the external force influence characteristics can be mechanical force characteristics, such as large-scale human activity, large-scale mechanical vibration, earthquakes, explosions, impacts, etc., or environmental force characteristics, such as high-temperature environments, high-humidity environments, strong winds, etc. The specific external force influence characteristics are not specifically limited in this application embodiment. They can be manually detected by relevant personnel and fed back to the management system, or the monitoring system can identify the corresponding external force influence characteristics after relevant sensors collect sensing data.

[0052] When external force influence characteristics exist, a representative feedback point can be selected from all monitoring points to assess the potential impact of these characteristics on the monitored building. This representative feedback point can be selected based on three dimensions: surface feature salience, structural importance, and external force sensitivity, ensuring that the selected point accurately reflects the building's state under external force influence. Furthermore, to improve the accuracy of determining the representative feedback point, it is determined from all monitoring points based on the surface feature information corresponding to each monitoring point. Specifically, this may include: The system acquires the target monitoring standards corresponding to each monitoring point within a preset observation period, identifies the monitoring point with the highest target monitoring standard as the first representative point, and determines the first coverage area based on the first representative point and its corresponding target monitoring standard. It acquires the building load information corresponding to the building to be monitored, identifies the second representative point with the highest load value from all monitoring points based on the building load information, and determines the second coverage area based on the second representative point and its highest load value. It identifies the location of external force influences in the building to be monitored, identifies the monitoring point closest to the location of the external force influence as the third representative point, and determines the third coverage area based on the third representative point and the relative external force interval between the third representative point and the location of the external force influence. Based on the first, second, and third coverage areas, it determines an overlapping coverage area, and identifies any point within the overlapping coverage area as a feedback representative point.

[0053] Specifically, the preset observation period is a period of time prior to the current moment. The duration of the preset observation period can be 5 days or 10 days. The specific duration is not specifically limited in this embodiment and can be set by relevant personnel according to actual needs. The target monitoring standard corresponding to each monitoring point within the preset observation period is obtained, and the highest target monitoring standard is determined by comparing the various target monitoring standards. Specifically, each target monitoring standard can be converted into a comparable numerical indicator. By comparing the numerical indicators, the monitoring point with the highest target monitoring standard is determined and designated as the first representative point. Then, based on the mapping relationship between the numerical indicator corresponding to the first representative point and the first preset diameter, the first diameter corresponding to the numerical indicator of the first representative point is determined. Based on the first representative point and the first diameter, the first coverage area corresponding to the first representative point can be determined. The first preset diameter mapping relationship is the correspondence between the numerical indicator and the first diameter.

[0054] The building load information for the building to be monitored includes the load values ​​for each monitoring point. This information can be uploaded to the monitoring system in advance by relevant personnel. By comparing the values, a second representative point with the highest load value can be selected from multiple monitoring points. Then, based on the mapping relationship between the highest load value and the second preset diameter corresponding to the second representative point, the second diameter corresponding to the highest load value of the second representative point is determined. Based on the second representative point and the second diameter, the second coverage area corresponding to the second representative point can be determined. The second preset diameter mapping relationship is the correspondence between the highest load value and the second diameter.

[0055] To pinpoint the location of external force influence characteristics within the monitored building, the monitoring system stores methods for determining the location of external force influence characteristics. Therefore, the location of the external force influence can be determined based on the external force influence characteristics. Specific determination methods can be uploaded to the monitoring system by relevant personnel based on historical experimental data. Similarly, through numerical comparison, the monitoring point closest to the location of the external force influence can be selected from multiple monitoring points and designated as the third representative point. Then, based on the mapping relationship between the external force interval distance and the third preset diameter corresponding to the third representative point, the corresponding third diameter is determined. Based on the third representative point and the third diameter, the third coverage area corresponding to the third representative point can be determined. The third preset diameter mapping relationship is the correspondence between the external force interval distance and the third diameter.

[0056] Finally, by overlapping the first, second, and third coverage areas, the overlapping coverage areas are determined. The center point of the overlapping coverage area can be determined as the feedback representative point, and any point in the overlapping coverage area can also be determined as the feedback representative point. As long as the determined feedback representative point can focus on the core location where the structural hidden dangers are most concentrated and the risks are most prominent, the limitations and one-sidedness caused by single-point judgment can be avoided.

[0057] After identifying the representative feedback points, a closed-loop building simulation model of "load input - feature evolution - trend prediction" can be constructed. The core of this model lies in transforming the abstract influence of external forces on the representative feedback points into quantifiable feature evolution trends. Then, based on these trends, the level of external force influence is determined. Finally, based on a preset time-mapping relationship and the level of external force influence, the reinforcement timeframe for the reinforcement feedback information is determined. Higher external force influence levels correspond to shorter reinforcement timeframes. The preset time-mapping relationship is the correspondence between the external force influence level and the reinforcement timeframe. The specific process of constructing the closed-loop building simulation model is not specifically limited in this embodiment, as long as the external force influence features are input and, based on structural mechanics, the influence of these features on the building to be monitored is distributed to the representative feedback points according to their location of action. In other words, it is sufficient to simulate the changes in surface features of the representative feedback points under the influence of external forces. If the external force influence features involve multiple factors, such as temperature and impact, a coupled model can be constructed to simulate the changes in surface features of the representative feedback points under the influence of multiple factors.

[0058] This application provides a monitoring system, such as Figure 3 As shown, Figure 3The monitoring system 300 shown includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the monitoring system 300 may also include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one type, and the structure of this monitoring system 300 does not constitute a limitation on the embodiments of this application.

[0059] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0060] Bus 302 may include a pathway for transmitting information between the aforementioned components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 302 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The symbol is represented by only one line, but this does not mean that there is only one bus or one type of bus.

[0061] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0062] The memory 303 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0063] The monitoring system includes, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. It can also include servers. Figure 3 The monitoring system shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0064] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0065] This application provides a computer program product including a computer program that, when executed by a processor, implements the methods described in any of the above embodiments.

[0066] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0067] The above description is only a partial embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for monitoring self-supporting load-bearing walls in multi-story and high-rise buildings, characterized in that, include: Identify the hazard characteristics corresponding to each point of interest within the building to be monitored from the images to be monitored, and determine the points of interest containing preset hazard characteristics as target points of interest; When there are multiple target points of interest, the coordinates of each target point of interest in the building to be monitored are identified, and the attention space of the building to be monitored and the target attention degree of the attention space are determined based on the coordinates of each target point of interest and the corresponding preset hidden danger characteristics. Identify the relative attention distance between each monitoring point in the building to be monitored and the space of interest, and determine the target monitoring standard corresponding to each monitoring point based on the target attention and the relative attention distance corresponding to each monitoring point; The surface feature information corresponding to each monitoring point is identified from the image to be monitored, and safety monitoring is carried out on each monitoring point based on the target monitoring standard and surface feature information corresponding to each monitoring point.

2. The monitoring method for self-supporting load-bearing walls of multi-story buildings according to claim 1, characterized in that, Based on the target attention level and the relative attention distance corresponding to the monitoring point, the target monitoring standard corresponding to the monitoring point is determined, including: Based on the preset hidden danger characteristics of each target concern point, the concern hazard value of each target concern point is determined, and the concern space is partitioned based on each concern hazard value and the target concern degree to obtain multiple division regions. Each division region corresponds to a different regional concern degree, and the regional concern degree corresponds to the regional monitoring standard. Identify the relative attention distance between the point to be monitored and the attention space, and determine the location type based on the relative attention distance. The location type includes peripheral location and internal location. The relative attention distance is the interval distance between the point to be monitored and the attention center of the attention space. When the location type is a peripheral location, identify the attention division area corresponding to the attention center in the attention space and the attention area monitoring standard corresponding to the attention division area; Based on the relative distance of interest and the monitoring standard of the area of ​​interest, the target monitoring standard corresponding to the point to be monitored is determined.

3. The monitoring method for self-supporting load-bearing walls of multi-story buildings according to claim 2, characterized in that, When the location type is internal location, it also includes: Based on the surface feature information of the point to be monitored, it is determined whether the point to be monitored is associated with any other monitoring points. If so, then the associated monitoring area is determined based on the point to be monitored and the associated monitoring point; Based on the degree of overlap between the associated monitoring area and each divided area in the space of interest, and the regional monitoring standard corresponding to each divided area, the target monitoring standard corresponding to the point to be monitored is determined.

4. The monitoring method for self-supporting load-bearing walls of multi-story buildings according to claim 2, characterized in that, Also includes: Identify the structural complexity and volume of the building to be monitored, and determine the scope of the linkage impact corresponding to the building to be monitored based on the structural complexity and volume of the building. If the scope of the linkage influence contains at least two attention spaces, and the average attention of the at least two attention spaces is higher than a preset attention threshold, then the at least two attention spaces are merged to obtain a merged space. Identify the merged volume corresponding to the merged space, and when the merged volume is higher than a preset volume threshold, perform a load-bearing failure simulation based on the merged space to obtain the failure simulation result, and generate reinforcement feedback information based on the failure simulation result.

5. The monitoring method for self-supporting load-bearing walls of multi-story buildings according to claim 4, characterized in that, When external force influence characteristics are detected, it also includes: Based on the surface feature information corresponding to each monitoring point, a representative feedback point is determined from all monitoring points. Based on the external force influence characteristics, the interference simulation is performed on the feedback representative point to obtain the feature evolution trend of the surface feature information corresponding to the feedback representative point. Based on the evolution trend of the aforementioned features, the reinforcement time corresponding to the reinforcement feedback information is determined.

6. The monitoring method for self-supporting load-bearing walls of multi-story buildings according to claim 5, characterized in that, The step of determining a representative feedback point from all monitoring points based on the surface feature information corresponding to each monitoring point includes: Obtain the target monitoring standards corresponding to each monitoring point within a preset observation period, determine the monitoring point with the highest target monitoring standard as the first representative point, and determine the first coverage area based on the first representative point and the target monitoring standard corresponding to the first representative point. Obtain the building load information corresponding to the building to be monitored, and based on the building load information, determine the second representative point with the highest load value from all the monitoring points, and determine the second coverage area based on the second representative point and the highest load value; Identify the location of the external force influence characteristics in the building to be monitored, determine the monitoring point closest to the location of the external force influence as the third representative point, and determine the third coverage area based on the third representative point and the relative external force interval between the third representative point and the location of the external force influence; Based on the first coverage area, the second coverage area, and the third coverage area, an overlapping coverage area is determined, and any point within the overlapping coverage area is designated as the feedback representative point.

7. A monitoring system, characterized in that, The monitoring system includes: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform a monitoring method for self-supporting load-bearing walls of multi-story buildings according to any one of claims 1-6.

8. A computer-readable storage medium, characterized in that, include: The computer program contains a method for monitoring self-supporting load-bearing walls of multi-story buildings that can be loaded by a processor and executed as described in any one of claims 1-6.

9. A computer program product, characterized in that, The method includes a computer program that, when executed by a processor, implements the steps of a monitoring method for self-supporting load-bearing walls in multi-story buildings as described in any one of claims 1-6.

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