Building structure safety early warning method, early warning system, medium and program product

Abstract

The invention relates to the technical field of building structure safety early warning, in particular to a building structure safety early warning method and system, a medium and a program product, and the method comprises the steps: determining a basic hidden danger point in a to-be-transformed building and a basic hidden danger value of the basic hidden danger point based on monitoring point data; according to the basic hidden danger monitoring point data of each basic hidden danger point and the reconstruction process and the reconstruction period in the reconstruction plan data, determining the reconstruction influence value of each reconstruction process on each basic hidden danger point; based on the basic hidden danger value and the transformation influence value of each basic hidden danger point, determining a corresponding influence hidden danger value, and based on a preset hidden danger threshold, determining whether a target hidden danger point is included; and if yes, identifying a reference contrast point of the target hidden danger point based on the target hidden danger monitoring point data of the target hidden danger point, and generating safety early warning feedback information based on contrast transformation parameters of the target hidden danger point and the reference contrast point. According to the invention, the accuracy and effectiveness of building structure safety early warning evaluation can be improved.

Description

Technical Field

[0001] This application relates to the field of early warning technology for building structure safety, and in particular to a method, system, medium and program product for early warning of building structure safety. Background Technology

[0002] With the continuous growth in demand for urban renewal and renovation of existing buildings, a large number of buildings with long service lives are facing structural reinforcement and functional upgrades. These buildings generally suffer from structural performance degradation, initial damage accumulation, and material strength reduction. Renovation procedures such as the removal of load-bearing components, load adjustment, and reinforcement work can easily cause secondary disturbances to the structural stability of the building, and even lead to safety accidents such as component fracture and partial collapse. Therefore, conducting accurate structural safety early warning throughout the entire building renovation cycle and identifying changes in risk points in real time is of vital practical significance for ensuring the safety of construction workers, reducing economic losses, and promoting the smooth implementation of renovation projects.

[0003] Conventional structural safety early warning technologies in the field of building renovation generally suffer from the pain points of single assessment dimensions and fragmented analysis logic. That is, they often collect structural monitoring data or sort out the types of renovation procedures in isolation. They either trigger early warnings by simply comparing the strain, displacement and other data collected by sensors with fixed thresholds, or they rely solely on engineering experience to make subjective predictions about high-risk procedures. This one-sided safety assessment model is very likely to cause the safety early warning results to be out of touch with the actual renovation conditions. It may frequently result in missed alarms and false alarms, which will greatly reduce the accuracy and practicality of safety early warnings. Summary of the Invention

[0004] To improve the accuracy and effectiveness of early warning assessments for building structural safety, this application provides a method, system, medium, and program product for early warning of building structural safety.

[0005] Firstly, this application provides a method for early warning of building structural safety, employing the following technical solution: A method for early warning of building structural safety, comprising: Acquire monitoring point data of the building to be renovated, and determine the basic hidden danger points in the building to be renovated and the basic hidden danger value of each basic hidden danger point based on the monitoring point data. The monitoring point data includes the structural type, degree of damage and location of each monitoring point. Obtain the renovation plan data, and based on the basic hidden danger monitoring point data corresponding to each basic hidden danger point and the renovation procedures and renovation cycle in the renovation plan data, determine the renovation impact value of each renovation procedure on each basic hidden danger point; Based on the basic hazard value and the transformation impact value corresponding to each basic hazard point, the impact hazard value corresponding to each basic hazard point is determined, and based on the preset hazard threshold, it is determined whether the target hazard point is included. The target hazard point is a basic hazard point whose impact hazard value is higher than the preset hazard threshold. If so, then based on the target hazard monitoring point data corresponding to the target hazard point, a reference control point corresponding to the target hazard point is identified from the non-basic hazard points in the building to be renovated, and a safety early warning feedback information is generated based on the comparison renovation parameters corresponding to the target hazard point and the reference control point.

[0006] By adopting the above technical solution, and comprehensively considering the structural type, damage level, and location of each monitoring point, it is easy to quantify the basic hidden dangers at each monitoring point, avoiding a one-size-fits-all assessment of monitoring points with different basic hidden danger conditions. In addition, by associating construction parameters such as modification procedures and cycles, the disturbance degree of each modification procedure to the basic hidden danger points can be accurately matched. By combining the two, the impact value of the basic hidden danger points can be calculated, which can accurately reflect the actual risk level faced by the basic hidden danger points under the modification conditions, thereby significantly reducing the probability of missed alarms and false alarms. Finally, by matching non-basic hidden danger points with similar characteristics to the target hidden danger point, and generating safety early warning feedback information based on the corresponding modification parameters of the reference control point, it is easy to provide modification parameter optimization schemes with practical guidance while accurately providing safety early warning information, promoting the upgrade of safety early warning from simple risk warning to risk disposal guidance. This helps relevant construction personnel to quickly and accurately locate the core risk source of the target hidden danger point, accurately adjust the modification procedure parameters, and thus eliminate structural safety hazards in the modification process from the root.

[0007] In one possible implementation, based on the basic hazard monitoring point data corresponding to the basic hazard point and the renovation procedures and renovation cycle in the renovation plan data, the renovation impact value of each renovation procedure on the basic hazard point is determined, including: Identify the location and structural type of the basic hidden danger corresponding to the basic hidden danger point from the monitoring point data of the basic hidden danger point, and identify the renovation location of the renovation area corresponding to each renovation process; Based on the location of the basic hidden danger and each modification location, as well as the structural type corresponding to the location of the basic hidden danger, the interval attenuation coefficient between the basic hidden danger point and each modification process is determined. Based on the mapping relationship between the degree of influence of each modification process and the preset process, the initial process influence value corresponding to each modification process is determined. Based on the interval attenuation coefficient between the basic hidden danger location and each modification location and the initial process influence value corresponding to each modification process, the secondary process influence value caused by each modification process to the basic hidden danger point is determined. Identify the historical environmental parameters corresponding to the transformation cycle of each transformation process, and determine the environmental correction coefficient corresponding to each transformation process based on each historical environmental parameter. The historical environmental parameters include average temperature, average humidity, and average precipitation. The time-degradation coefficient for each modification process is determined based on the modification cycle corresponding to each modification process and the environmental correction coefficient. The impact value of each modification process on the basic hidden danger point is determined based on the influence coefficient of the secondary process corresponding to each modification process and the time decay coefficient.

[0008] By adopting the above technical solution, the location of the basic hidden danger points, their structural types, and the modification locations of the modification processes are identified. A targeted interval attenuation coefficient is then determined. This facilitates the quantification of the weakening effect of spatial distance and structural characteristics differences between the hidden danger points and the modification area on the modification process. It avoids biased impact assessments caused by neglecting the differences in disturbance transmission patterns of modification processes under different structural types and spatial distances. By introducing historical environmental parameters such as average temperature, average humidity, and average precipitation during the modification cycle, an environmental correction coefficient is determined. Based on this environmental correction coefficient, a time-dependent attenuation coefficient is determined, facilitating accurate adaptation to the changing patterns of structural material performance and damage development rates under different climatic conditions. By coupling the interval attenuation coefficient and the time-dependent attenuation coefficient, the modification impact value is determined, enabling four-dimensional collaborative quantification of spatial, temporal, environmental, and process dimensions, thereby improving the accuracy of the modification impact value calculation.

[0009] In one possible implementation, when the structural type corresponding to the location of the basic hidden danger is a preset type of concern, the method further includes: The basic hidden danger points whose structural type is a preset concern structure are identified as the hidden danger points, and the analysis area of ​​the hidden danger points is determined based on the basic hidden danger value corresponding to the hidden danger points. Based on the preset concern structure type, related hazard points and the corresponding locations of related hazards are identified from the concern hazard analysis area. The related hazard points are other basic hazard points in the concern hazard analysis area whose structure type is the preset concern structure type. The association analysis space area is determined based on the basic hazard location corresponding to the hazard point of concern and the associated hazard location corresponding to each associated hazard point, and the associated space ratio between the association analysis space area and the building to be modified is identified. The transformation areas corresponding to each transformation process are identified from the transformation plan data, and the correlation analysis space area is compared with each transformation area to determine the overlapping transformation areas and the percentage of overlap between each overlapping transformation area and the correlation analysis space area. The chain reaction correction coefficient is determined based on the proportion of the associated space and the proportion of each overlapping space, and the interval attenuation coefficient between the potential hazard point and each renovation process is corrected based on the chain reaction correction coefficient.

[0010] By adopting the above technical solutions, the potential risks can be accurately identified by pre-setting the types of structures of concern. This facilitates focusing on key risk units of the building structure and avoids the omission of core risks due to indiscriminate assessment of key and non-key structures. Based on the location of the potential risks and related potential risks, a correlation analysis spatial area is constructed. At the same time, the correlation ratio between this spatial area and the overall building is quantified, which makes it easier to clearly define the spatial radiation range of the correlation analysis spatial area and its correlation with the overall stability of the building to be modified. By identifying overlapping modification areas and calculating the overlap ratio, it is easier to accurately locate the interference that each modification process in the correlation analysis spatial area may cause to the potential risks. Finally, by combining the correlation ratio and the overlap ratio, the chain effect correction coefficient is determined, which helps to improve the fit between the interval attenuation coefficient of the potential risks and the actual risk transmission law.

[0011] In one possible implementation, when the cascading effect correction coefficient is greater than a preset correction coefficient threshold, the method further includes: Identify the overlapping modification cycles of the overlapping modification processes corresponding to each overlapping modification area, and compare the overlapping modification cycles to determine the focus modification cycles corresponding to all overlapping modification processes. Determine the total renovation impact value between each renovation process and the potential hazard point within the renovation cycle, and determine the attention space area of ​​the potential impact point in the building to be renovated based on the total renovation impact value; Identify the association tendency direction corresponding to the association analysis spatial region, and divide the association spatial region into multiple division interest regions along the association tendency direction. Different division interest regions correspond to different association influence weights. Based on the total renovation impact value and the associated impact weights corresponding to each designated area of ​​concern, the renovation impact values ​​corresponding to non-concerned hidden danger points in each designated area of ​​concern are optimized.

[0012] By adopting the above technical solutions, and by identifying the overlapping renovation cycles of overlapping renovation processes and determining the renovation cycles of concern, it is easy to accurately pinpoint the core time period during which multiple overlapping renovation processes superimpose their effects on key hidden danger areas. By determining the spatial area of ​​concern based on the total renovation impact value, it is easy to clearly define the radiation range of high-risk overlapping renovation processes, avoiding deviations caused by the risk assessment range being too large or too small. By identifying the direction of correlation tendency and dividing the areas of concern along this direction with different correlation impact weights, it is possible to accurately adapt to the actual law of risk transmission from key hidden danger areas along specific directions. Based on the total renovation impact value and the correlation impact weights of the divided areas of concern, the renovation impact value of non-concerned hidden danger points is optimized, which facilitates the accurate transmission and quantification of risks from high-risk areas to surrounding non-critical hidden danger points, avoiding the assessment deviation of surrounding hidden danger points caused by ignoring the risk spillover effect of key areas.

[0013] In one possible implementation, identifying the association tendency direction corresponding to the association analysis spatial region includes: Identify the vertex spatial coordinates corresponding to each spatial vertex in the association analysis spatial region, and determine the spatial centroid coordinates corresponding to the spatial centroid of the association analysis spatial region based on the spatial coordinates of each vertex. Based on the spatial coordinates of the centroid and the spatial coordinates of each vertex, determine the vertex offset vector between each spatial vertex and the spatial centroid, and determine the vector magnitude of each vertex offset vector. Based on the total transformation impact value, the module length screening value is determined. Based on the module length screening value, the vector to be fitted is determined from all vertex offset vectors. The vector to be fitted is then fitted to obtain the initial fitting vector. Identify the construction progress direction corresponding to each modification process of interest, and fit all the construction progress directions to obtain the construction fitting direction; Identify the fitting angle between the initial fitting vector and the construction fitting direction, and determine the vector correction coefficient based on the fitting angle; The initial fitting vector is optimized based on the vector correction coefficient to obtain the target fitting vector, and the direction of the target fitting vector is determined as the correlation tendency direction corresponding to the correlation analysis spatial region.

[0014] By adopting the above technical solution, the spatial coordinates of the vertices of the correlation analysis spatial region are accurately extracted and the spatial coordinates of the centroid are calculated, providing a precise spatial geometric basis for determining the correlation tendency direction. By dynamically determining the modulus screening value based on the total transformation impact value, the targeted screening of the vector to be fitted is realized, avoiding interference from irrelevant or secondary offset vectors in the fitting results. By calculating the angle between the initial fitting vector and the construction fitting direction and determining the vector correction coefficient, the precise matching of spatial tendency and construction impact is realized. Finally, the correlation tendency direction is determined by the corrected target fitting vector, which greatly improves the accuracy of the correlation tendency direction determination.

[0015] In one possible implementation, generating safety early warning feedback information based on the control modification parameters corresponding to the target hazard point and the reference control point includes: Safety warning information is generated based on the target hazard points and the corresponding impact hazard values ​​of the target hazard points; Based on the renovation plan data, determine the renovation parameters corresponding to the target hidden danger point and the reference renovation parameters corresponding to the reference control point; Based on the preset comparison dimensions, the hazard modification parameters, and the reference modification parameters, the dimensional difference values ​​between the target hazard point and the reference control point in each preset comparison dimension are determined. Target difference comparison dimensions are selected from multiple preset comparison dimensions, and difference feedback information is determined based on the target difference comparison dimensions. The target difference comparison dimensions are preset comparison dimensions whose dimension difference values ​​are higher than preset difference thresholds. The security warning feedback information is determined based on the security warning information and the difference feedback information.

[0016] By adopting the above technical solution, safety early warning information is generated based on the target hazard points and their impact values. This facilitates the accurate transmission of the core risk level and basic risk information of the target hazard points, ensuring that construction personnel can quickly grasp the core risk status and avoid delays in handling caused by ambiguous risk information. By calculating the dimensional difference values ​​through preset comparison dimensions, the differences between the target hazard points and the reference control points in each comparison dimension can be quantified, avoiding analytical biases caused by subjective judgment of differences. Finally, by combining safety early warning information and difference feedback information to generate safety early warning feedback information, the dual functions of risk level notification and core difference location can be achieved. This allows relevant construction personnel to clearly grasp the degree of risk while quickly identifying the direction of parameter optimization, thereby significantly improving the practical guidance value of the early warning information.

[0017] Secondly, this application provides an early warning system, which adopts the following technical solution: An early warning 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: execute the above-described building structure safety early warning method.

[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 building structure safety early warning method.

[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 building structure safety early warning method.

[0020] In summary, this application includes at least one of the following beneficial technical effects: By comprehensively considering the structural type, damage level, and location of each monitoring point, the underlying risks at each point can be quantified, avoiding a one-size-fits-all assessment of monitoring points with different underlying risks. Furthermore, by associating construction parameters such as modification procedures and cycles, the disturbance level of each modification procedure to the underlying risk points can be accurately matched. By combining these factors to calculate the impact risk value of the underlying risk points, the actual risk level faced by the underlying risk points under modification conditions can be accurately reflected, thus significantly reducing the probability of missed or false alarms. Finally, by matching non-underlying risk points with similar characteristics to the target risk point and generating safety warning feedback information based on the corresponding modification parameters of the reference control point, the system can provide practical guidance for optimizing modification parameters while accurately providing safety warning information. This promotes the upgrade of safety warnings from simple risk alerts to risk management guidance, helping relevant construction personnel quickly and accurately locate the core risk source of the target risk point, precisely adjust modification procedure parameters, and ultimately eliminate structural safety hazards at the source during the modification process.

[0021] By identifying the overlapping renovation cycles of overlapping renovation processes and determining the focus renovation cycles, it is easy to accurately pinpoint the core time period during which multiple overlapping renovation processes superimpose their effects on key hazard areas. By determining the focus spatial area based on the total renovation impact value, it is easy to clearly define the radiation range of high-risk overlapping renovation processes, avoiding deviations caused by overly large or small risk assessment ranges. By identifying the direction of correlation tendency and dividing the focus areas along this direction with different correlation impact weights, it is possible to accurately adapt to the actual law of risk transmission from key hazard areas along specific directions. Based on the total renovation impact value and the correlation impact weights of the divided focus areas, the renovation impact value of non-focus hazard points is optimized, which facilitates the accurate transmission and quantification of risks from high-risk areas to surrounding non-critical hazard points, avoiding assessment deviations of surrounding hazard points caused by neglecting the risk spillover effect of key areas. Attached Figure Description

[0022] Figure 1 This is a flowchart illustrating a building structure safety early warning method according to an embodiment of this application; Figure 2 This is a flowchart illustrating the optimization and modification impact value in one embodiment of this application; Figure 3 This is a schematic diagram of the structure of an early warning 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 method for early warning of building structure safety, executed by an early warning system. This system can be a server or a terminal device. The server can be an independent 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 connection.

[0028] refer to Figure 1 , Figure 1 This is a flowchart illustrating a building structure safety early warning method according to an embodiment of this application. The method includes steps S110-S140, wherein: Step S110: Obtain monitoring point data of the building to be renovated, and determine the basic hidden danger points and basic hidden danger values ​​of each basic hidden danger point in the building to be renovated based on the monitoring point data. The monitoring point data includes the structural type, damage degree and location of each monitoring point.

[0029] Specifically, the building to be renovated is an existing building that requires structural reinforcement, functional upgrade, change of use, or renovation. The monitoring data of the building to be renovated can be collected by sensors installed at various monitoring points within the building and then uploaded to the early warning system. The monitoring points can be the top and bottom of the frame columns and the beam-column joints; the mid-span, supports, and sections with large shear forces of the frame beams; the key parts of the transfer beams and transfer columns of the transfer floor; the middle and ends of the shear wall limbs around the elevator shaft and stairwell; the edge members of the shear wall; the mid-span and end nodes of the connecting beams; the sides of the door and window openings of the load-bearing walls and the corners of the walls; the connection points between the structural columns and the walls; the lap joints of the ring beams, etc. The specific location of the monitoring points is not specifically limited in this embodiment of the application, as long as the monitoring points can cover the key load-bearing components, high-risk areas, and vulnerable parts of the building to be renovated.

[0030] The monitoring point data includes, but is not limited to, the structural type, damage level, and location of each monitoring point. By quantifying the structural type, damage level, and location of each monitoring point, the basic hazard value for each monitoring point can be obtained. Basic hazard points are monitoring points whose basic hazard values ​​exceed a preset basic hazard threshold. The specific preset basic hazard threshold is not limited in this embodiment. The structural type refers to the structural classification attribute of the building component to be modified where the corresponding monitoring point is located, including load-bearing structural types such as concrete structures, steel structures, and masonry structures, as well as non-load-bearing structural types such as masonry infill walls and building accessories. The damage level refers to the severity of damage caused to the corresponding monitoring point due to factors such as material aging, load, and environmental erosion. The determination is based on the damage type, extent, size, and impact on the structural load-bearing capacity, durability, and normal function of the component corresponding to the monitoring point. The monitoring area refers to the area of ​​the monitoring point relative to the building to be renovated. Examples include the perimeter of the core tube of a frame structure, the perimeter of elevator shafts and stairwells, the mid-span area and support core area of ​​a large-span building, and the bottom reinforcement layer and transfer layer areas of a high-rise building; the inner corridor areas and non-core office areas of ordinary floors, and the central area of ​​standard floors in multi-story buildings; and the edge areas such as the cantilevered components of the exterior walls, the installation area of ​​roof ancillary facilities, and the edge areas of the top floor of multi-story buildings. The method for quantifying the monitoring point data to obtain the basic hazard value is not specifically limited in this embodiment.

[0031] Step S120: Obtain the renovation plan data, and determine the renovation impact value of each renovation process on each basic hidden danger point based on the basic hidden danger monitoring point data corresponding to each basic hidden danger point and the renovation process and renovation cycle in the renovation plan data.

[0032] Specifically, the renovation plan data can be compiled by the relevant construction unit based on the functional requirements of the building to be renovated, structural inspection reports, and relevant standards, and then entered into the early warning system in advance. The renovation plan data includes, but is not limited to, renovation procedures and renovation cycles. Renovation procedures include, but are not limited to, renovation areas and types of procedures. Therefore, the renovation procedures and cycles corresponding to the basic hidden danger points can be selected from the renovation plan data. By analyzing the renovation procedures and cycles, the renovation impact value can be determined, facilitating the quantification of the interference caused by the renovation procedures to the basic hidden danger points during construction. This can be determined by multi-dimensional coupling analysis of the renovation procedure type and renovation cycle. Furthermore, to improve the accuracy of the renovation impact value calculation, this application embodiment provides a specific process for determining the renovation impact value of each renovation procedure on the basic hidden danger points based on the basic hidden danger monitoring point data corresponding to the basic hidden danger points and the renovation procedures and cycles in the renovation plan data. This process may include: The basic hazard locations and structural types corresponding to the basic hazard points are identified from the monitoring data of the basic hazard points, and the renovation locations of the renovation areas corresponding to each renovation process are also identified. Based on the basic hazard locations, renovation locations, and the structural types corresponding to the basic hazard locations, the interval attenuation coefficient between the basic hazard points and each renovation process is determined. Based on the mapping relationship between the influence degree of each renovation process and the preset process, the initial process influence value corresponding to each renovation process is determined. Based on the interval attenuation coefficient between the basic hazard locations and each renovation location and the initial process influence value corresponding to each renovation process, the secondary process influence value of each renovation process on the basic hazard points is determined. The historical environmental parameters corresponding to the renovation cycle of each renovation process are identified, and the environmental correction coefficient corresponding to each renovation process is determined based on the historical environmental parameters, including average temperature, average humidity, and average precipitation. Based on the renovation cycle and environmental correction coefficient corresponding to each renovation process, the time-effect attenuation coefficient corresponding to each renovation process is determined. Based on the secondary process influence value and time-effect attenuation coefficient corresponding to each renovation process, the renovation influence value of each renovation process on the basic hazard points is determined.

[0033] Specifically, for any basic hidden danger point, the location and structural type of the basic hidden danger point can be identified from the monitoring point data of the basic hidden danger point corresponding to the basic hidden danger point based on a preset feature recognition algorithm. The specific preset feature recognition algorithm is not specifically limited in this embodiment. The modification location is the center point of the modification area corresponding to the modification process. For example, if the modification area is the masonry infill wall between axes 3 and 5 on the west side of the 3rd floor, then the modification location is the intersection of the diagonals of this rectangular wall. Since different structural types have different anti-interference capabilities, when determining the degree to which the interference caused by the modification process to the basic hidden danger point decreases with the distance between the modification process and the basic hidden danger point, it is necessary to first determine the anti-interference parameters corresponding to the structural type based on a preset anti-interference parameter mapping relationship, and then determine the interval attenuation coefficient between the basic hidden danger point and the modification process by combining the interval between the location of the basic hidden danger point and the modification location. The formula for calculating the interval attenuation coefficient is: ;in, α is the interval attenuation coefficient between the basic hidden danger point and the modification process; d is the anti-interference parameter corresponding to the structural type; and d is the interval between the location of the basic hidden danger and the modification location. Based on the above method, the interval attenuation coefficient between the basic hidden danger point and each modification process can be determined.

[0034] Different modification procedures have varying degrees of impact during actual construction. Based on a pre-defined mapping relationship for the impact of each modification procedure, the impact of each procedure during actual construction can be quantified into an initial procedure impact value. This pre-defined mapping relationship represents the correspondence between the modification procedure and the initial procedure impact value, and can be determined by relevant personnel based on historical experimental data. By multiplying the interval attenuation coefficient by the initial procedure impact value, the secondary procedure impact value is obtained. This facilitates the identification and quantification of the potential impact of each modification procedure on foundation hazard points during actual construction, taking into account interval attenuation.

[0035] Besides the renovation process itself, the environmental conditions and duration of the renovation cycle can also affect the actual impact of the renovation process on the foundation's potential hazards. Environmental parameters such as average temperature, average humidity, and average precipitation during the renovation cycle directly affect the performance and damage development rate of building structural materials, thus altering the degree of disturbance to the foundation's potential hazards. The execution duration of the renovation process affects the duration of the disturbance's impact on the foundation's potential hazards, further altering the actual impact. Therefore, it is necessary to further analyze the time-degradation coefficient corresponding to the renovation cycle and environmental conditions, and then further calculate the final renovation impact value based on the determined secondary process values ​​using the time-degradation coefficient. When determining the time-degradation coefficient, historical environmental parameters corresponding to each renovation cycle can be identified from the historical database. These historical environmental parameters include, but are not limited to, the average temperature, average humidity, and average precipitation during the historical time period corresponding to the renovation cycle of each renovation process. By quantifying these historical environmental parameters, the historical environmental weight coefficients corresponding to them can be obtained. Then, the execution duration corresponding to the renovation cycle is identified, and the execution duration is imported into the cycle degradation coefficient calculation formula to obtain the cycle degradation coefficient. The cycle degradation coefficient formula is: ;in, Here, t represents the periodic decay coefficient, and t represents the execution duration. Finally, the time-dependent decay coefficient can be calculated by weighting the historical environmental weight coefficient and the periodic decay coefficient based on preset weights. The specific preset weights are not limited in this embodiment and can be determined by relevant personnel based on historical experimental data and uploaded to the early warning system. Based on the above method, the impact of each modification process on each basic hidden danger point can be determined.

[0036] Step S130: Based on the basic hazard value and the transformation impact value corresponding to each basic hazard point, determine the impact hazard value corresponding to each basic hazard point, and determine whether the target hazard point is included based on the preset hazard threshold. The target hazard point is the basic hazard point whose impact hazard value is higher than the preset hazard threshold.

[0037] Specifically, the basic hazard value and the modification impact value of each basic hazard point can be summed to obtain the impact hazard value corresponding to each basic hazard point. The impact hazard value of each basic hazard point is then compared with the preset hazard threshold. If the impact hazard value of a basic hazard point is higher than the preset hazard threshold, the basic hazard point is determined as a target hazard point. The number of target hazard points and the specific preset hazard threshold are not specifically limited in this application embodiment, and can be set by relevant personnel according to actual needs.

[0038] Step S140: If yes, then based on the target hazard monitoring point data corresponding to the target hazard point, identify the reference control point corresponding to the target hazard point from the non-basic hazard points in the building to be renovated, and generate safety early warning feedback information based on the comparison renovation parameters corresponding to the target hazard point and the reference control point.

[0039] Specifically, when a building to be renovated contains a target hazard point, a preset feature recognition algorithm can be used to identify the core feature parameter set corresponding to the target hazard point from the target hazard monitoring point data. Then, candidate control points that meet preset basic matching conditions are selected from all non-basic hazard points. A multi-dimensional matching degree evaluation model is constructed to calculate the matching degree between each candidate control point and the target hazard point. Finally, the candidate control point with the highest matching degree is determined as the reference control point. The core feature reference set corresponding to the target hazard point includes, but is not limited to, structural type parameters, spatial location parameters, initial state parameters, and corresponding renovation process parameters. The specific content of the preset basic matching conditions is not specifically limited in this embodiment and can be uploaded by relevant personnel according to actual needs. For example, the preset basic matching conditions can be: the structural type parameters of the candidate control point are consistent with those of the target hazard point, and the difference in construction age in the initial state parameters is ≤5 years, and the deviation in material strength grade is ≤1 grade. The method for determining the matching degree between the candidate control point and the target hazard point is not specifically limited in this embodiment, as long as the reference control point corresponding to the target hazard point can be identified from the non-basic hazard points in the building to be renovated.

[0040] After identifying the reference control point corresponding to the target hazard point, safety early warning feedback information can be generated based on the control modification parameters corresponding to the target hazard point and the reference control point. This allows for the simultaneous realization of the dual functions of risk level notification and core difference identification. To improve the accuracy of determining the safety early warning feedback information, the generation of safety early warning feedback information based on the control modification parameters corresponding to the target hazard point and the reference control point can specifically include: Safety warning information is generated based on the target hazard point and its corresponding impact hazard value; the hazard modification parameters corresponding to the target hazard point and the reference modification parameters corresponding to the reference control point are determined based on the modification plan data; the dimensional difference values ​​between the target hazard point and the reference control point in each preset comparison dimension are determined based on the preset comparison dimensions, hazard modification parameters, and reference modification parameters; target difference comparison dimensions are selected from multiple preset comparison dimensions, and difference feedback information is determined based on the target difference comparison dimensions, where the target difference comparison dimensions are preset comparison dimensions whose dimensional difference values ​​are higher than preset difference thresholds; safety warning feedback information is determined based on the safety warning information and the difference feedback information.

[0041] Specifically, the location of the target hazard point can be located, and the warning level corresponding to the hazard value can be determined according to the preset warning level mapping relationship. The preset warning level mapping relationship is the correspondence between the hazard value and the warning level. Safety warning information is generated based on the hazard location and the warning level. The specific content of the preset warning level mapping relationship is not specifically limited in this application embodiment.

[0042] Based on a preset feature recognition algorithm, the system can identify hazard modification parameters and control parameters from the modification plan data. These parameters are then compared according to preset comparison dimensions to determine the dimensional difference coefficients between the target hazard point and the reference control point in each preset comparison dimension. These preset comparison dimensions include, but are not limited to, construction process parameters, material performance parameters, load control parameters, and environmental adaptation parameters. Construction process parameters can include demolition / reinforcement sequence, construction step distance, and temporary support erection density, and can be quantified based on the number of process steps and parameter value deviation rates. Material performance parameters can include the strength grade of reinforcement materials, grout mix ratio, and component replacement standards, and can be quantified based on strength grade differences and mix ratio deviation percentages. Load control parameters can include the upper limit of temporary construction loads, load application rate, and unloading sequence, and can be quantified based on the difference in upper load limits and rate deviation rates. Environmental adaptation parameters can include temperature and humidity control thresholds during construction and precipitation response measures, and can be quantified based on threshold differences and measure completeness scores.

[0043] After determining the dimensional differences between the target hazard point and the reference control point in each preset comparison dimension, a preset comparison dimension with a dimensional difference value higher than the preset difference threshold can be determined based on a preset difference threshold. This is the target difference comparison dimension. Difference feedback information is then determined based on the target difference comparison dimension. The specific value of the preset difference threshold and the number of target difference comparison dimensions are not specifically limited in this embodiment and can be set by relevant personnel according to actual needs. By combining safety warning information and difference feedback information to generate safety warning feedback information, the dual functions of risk level notification and core difference location can be achieved. This allows relevant construction personnel to clearly understand the degree of risk while quickly identifying the direction of parameter optimization, thereby significantly improving the practical guidance value of the warning information.

[0044] In this embodiment, by comprehensively considering the structural type, damage level, and location of each monitoring point, it is easy to quantify the basic hidden dangers at each monitoring point, avoiding a one-size-fits-all assessment of monitoring points with different basic hidden danger conditions. In addition, by associating construction parameters such as modification procedures and cycles, the disturbance degree of each modification procedure to the basic hidden danger points can be accurately matched. By combining the two, the impact value of the basic hidden danger points can be calculated, which can accurately reflect the actual risk level faced by the basic hidden danger points under the modification conditions, thereby significantly reducing the probability of missed alarms and false alarms. Finally, by matching non-basic hidden danger points with similar characteristics to the target hidden danger point, and generating safety early warning feedback information based on the corresponding modification parameters of the reference control point, it is easy to provide modification parameter optimization schemes with practical guidance while accurately providing safety early warning information, promoting the upgrade of safety early warning from simple risk warning to risk disposal guidance. This helps relevant construction personnel to quickly and accurately locate the core risk source of the target hidden danger point, accurately adjust the modification procedure parameters, and thus eliminate structural safety hazards in the modification process from the root.

[0045] Furthermore, when the structural type corresponding to the location of the basic hidden danger is a preset type of structure of concern, the method provided in this application embodiment may further include: Basic hazard points whose structural type corresponds to a pre-defined structure of concern are identified as hazard points of concern. The hazard analysis area is determined based on the basic hazard value corresponding to each hazard point. Related hazard points and their corresponding locations are identified from this hazard analysis area based on the pre-defined structure of concern. Related hazard points are other basic hazard points in the hazard analysis area whose structural type corresponds to the pre-defined structure of concern. A correlation analysis spatial area is determined based on the basic hazard locations corresponding to the hazard points of concern and the corresponding locations of the related hazard points. The correlation space ratio between this spatial area and the building to be renovated is also identified. Renovation areas corresponding to each renovation procedure are identified from the renovation plan data. The correlation analysis spatial area is compared with each renovation area to determine overlapping renovation areas and the overlap ratio between each overlapping renovation area and the correlation analysis spatial area. A chain reaction correction coefficient is determined based on the correlation space ratio and the overlap ratio. Based on this chain reaction correction coefficient, the interval attenuation coefficient between the hazard points of concern and each renovation procedure is corrected.

[0046] Specifically, for ease of description, basic hazard points whose structural type corresponds to a preset concern structure type can be identified as concern hazard points. The preset concern structure type can be a core load-bearing structure or a structure prone to abnormalities during historical renovations, and can be set by relevant personnel based on actual conditions. This application embodiment does not impose specific limitations. Different basic hazard values ​​correspond to different area regions. The area region corresponding to a basic hazard value can be determined based on a preset area mapping relationship. Then, based on the hazard location corresponding to the concern hazard point and the area region, the concern hazard analysis area corresponding to the concern hazard point is jointly determined. The center of the concern hazard analysis area is the hazard location. The preset area mapping relationship is the correspondence between basic hazard values ​​and area regions; the larger the basic hazard value, the larger the corresponding area region.

[0047] First, other basic hazard points included in the hazard analysis area can be identified. These other basic hazard points are those other than the hazard points in the hazard analysis area. Then, the structural type corresponding to each of these other basic hazard points is identified, and the other basic hazard points whose structural type is a preset hazard type are determined as associated hazard points. The specific number of associated hazard points is not specifically limited in this embodiment. Connecting the hazard points and associated hazard points in the three-dimensional architectural drawing of the building to be modified yields the associated analysis space area. The associated spatial edge information of the associated analysis space area can be identified using a preset edge detection algorithm. Based on this associated spatial edge information, the corresponding associated spatial volume can be determined. Comparing this associated spatial volume with the building volume of the building to be modified determines the proportion of associated space between the associated analysis space area and the building to be modified. The specific preset edge detection algorithm is not specifically limited in this embodiment.

[0048] Based on a preset feature recognition algorithm, the modification areas corresponding to each modification process can be identified from the modification plan data. These modification areas can be considered as the construction areas for the corresponding modification process. The correlation analysis spatial area can be compared with each modification area to determine the overlapping modification areas between each modification area and the correlation hierarchical spatial area, and the percentage of overlap between each overlapping modification area and the correlation analysis spatial area. A larger percentage of overlap indicates a greater degree of interference caused by the corresponding modification process to the correlation analysis spatial area during the modification process. Since the structure type of the associated hazard point and the hazard point of concern is the same, when the structure type is the preset concern structure type, in addition to analyzing the potential impact of the modification process on the hazard point itself, it is also necessary to analyze the potential impact of the modification process on associated hazard points within the same spatial area. This can be quantified using the correlation space percentage and the percentage of each overlapping space, obtaining the chain influence correction coefficient between the hazard point of concern and each modification process under the chain influence of associated hazard points within the same spatial area. Finally, the interval attenuation coefficient between the hazard point of concern and each modification process is adjusted based on this chain influence correction coefficient. For example, the interval attenuation coefficient between the hazard point of concern and a certain modification process is... The interval decay coefficient adjusted based on the cascading effect correction coefficient is: Where β is the correction coefficient for the chain reaction between the potential hazard and the modification process. By combining the proportion of associated space and the proportion of overlapping space to determine the chain reaction correction coefficient, it is easier to improve the fit between the interval attenuation coefficient of the potential hazard and the actual risk transmission law.

[0049] Furthermore, when the cascading effect correction coefficient is greater than a preset correction coefficient threshold, the method provided in this application embodiment may further include steps S210-S240, such as... Figure 2 As shown, where: Step S210: Identify the overlapping modification cycle of each overlapping modification area and the overlapping modification process, and compare each overlapping modification cycle to determine the focus modification cycle corresponding to all overlapping modification processes.

[0050] Specifically, for ease of description, the modification processes corresponding to the overlapping modification areas can be defined as overlapping modification processes. Similarly, the modification cycles of the modification processes corresponding to the overlapping modification areas can be defined as overlapping modification cycles. By comparing the various overlapping modification cycles horizontally, the time period of the longest intersection among all overlapping modification cycles can be defined as the modification cycle of interest.

[0051] Step S220: Determine the total renovation impact value between each renovation process and potential hazard point within the renovation cycle, and determine the space area of ​​the potential impact point in the building to be renovated based on the total renovation impact value.

[0052] Specifically, the process involves identifying the modification procedures corresponding to the modification cycle. Not all overlapping modification procedures are considered modification procedures; some modification cycles overlap with the modification cycles of the monitored modification procedures. The total modification impact value is calculated by summing the modification impact values ​​between each modification procedure and the identified potential hazard point. Based on a preset mapping relationship for the monitored area range, the monitored area range corresponding to this total modification impact value is determined. This preset mapping relationship establishes a correspondence between the total modification impact value and the monitored area range; a larger total modification impact value corresponds to a larger area range. The specific details of this mapping relationship are not limited in this embodiment and can be determined by relevant personnel based on historical experimental data and uploaded to the early warning system.

[0053] The area of ​​concern is the spatial region centered on the potential hazard point. The corresponding area of ​​concern is the scope of the area of ​​concern. The area of ​​concern is different from the spatial region of association analysis in the above embodiments. The scope of concern of the area of ​​concern is larger.

[0054] Step S230: Identify the association tendency direction corresponding to the association analysis spatial region, and divide the association spatial region into multiple regions of interest along the association tendency direction. Different regions of interest correspond to different association influence weights.

[0055] Specifically, the association tendency direction corresponding to the association analysis spatial region can be determined by analyzing the vertex spatial coordinates of the association analysis spatial region. Furthermore, to improve the accuracy of determining the association tendency direction, the method provided in this application embodiment also includes a specific process for identifying the association tendency direction corresponding to the association analysis spatial region: The process involves identifying the spatial coordinates of each vertex in the correlation analysis spatial region, determining the coordinates of the centroid corresponding to the centroid of the region based on these coordinates, determining the vertex offset vectors between each vertex and the centroid, and defining the vector magnitude of each offset vector. A magnitude screening value is determined based on the total modification impact value, and a fitting vector is selected from all vertex offset vectors based on this value. This fitting vector is then fitted to obtain the initial fitting vector. The process also involves identifying the modification construction direction corresponding to each modification procedure of interest, fitting all modification construction directions to obtain the construction fitting direction, identifying the fitting angle between the initial fitting vector and the construction fitting direction, and determining the vector correction coefficient based on this angle. Finally, the initial fitting vector is optimized based on the vector correction coefficient to obtain the target fitting vector, and the direction of the target fitting vector is determined as the correlation tendency direction corresponding to the correlation analysis spatial region.

[0056] Specifically, spatial coordinate modeling of the correlation analysis spatial region can be performed first, then the spatial coordinates of each spatial vertex in the correlation analysis spatial region can be identified. Subsequently, the spatial centroid coordinates of the correlation analysis spatial region can be calculated according to the formula for calculating the centroid coordinates of a rectangle. The vertex offset vector is the difference vector between the spatial coordinates of each vertex and the spatial centroid coordinates. The vector magnitude of each vertex offset vector can be calculated based on the vector magnitude calculation formula. The specific calculation methods for the spatial centroid coordinates, vertex offset vectors, and vector magnitudes are not elaborated in this embodiment. Different total transformation impact values ​​correspond to different magnitude screening values. The magnitude screening value corresponding to the total transformation impact value can be determined based on a preset screening value mapping relationship. The preset screening value mapping relationship is the correspondence between the total transformation impact value and the magnitude screening value. The specific content of this correspondence is not specifically limited in this embodiment. Vectors to be fitted with a vector magnitude greater than the magnitude screening value are selected. The specific number of vectors to be fitted is not specifically limited in this embodiment. The vectors to be fitted can be fitted based on a preset fitting algorithm to obtain an initial fitted vector.

[0057] Based on a preset feature recognition algorithm, the construction progress direction of the relevant renovation process can be extracted from the renovation plan data. For example, in the frame column reinforcement process, the construction progress direction is from bottom to top along the column axis (X-axis direction), and the construction direction vector can be... In the floor slab load lifting process, the construction advancement direction is along the transverse direction of the floor slab (X-axis) from axis 3 to axis 5. The construction direction vector can be... Similarly, a preset fitting algorithm can be used to fit all the directions of the renovation and construction to obtain the construction fitting direction. The specific preset fitting algorithm is not specifically limited in this application embodiment.

[0058] The fitting angle is the angle between the initial fitting vector and the construction fitting direction. It can be calculated using a preset vector dot product formula. The specific preset vector dot product formula is not limited in this embodiment. After determining the fitting angle, the vector correction coefficient corresponding to the fitting angle can be determined based on the preset vector correction coefficient mapping relationship. Then, the initial fitting vector is updated and optimized based on the vector correction coefficient to obtain the target fitting vector. Finally, the direction of the target fitting vector is determined as the correlation tendency direction corresponding to the correlation analysis spatial region. The preset vector correction coefficient mapping relationship is the correspondence between the fitting angle and the vector correction coefficient. The specific content is not limited in this embodiment and can be determined by relevant personnel based on historical experimental data and uploaded to the early warning system.

[0059] After determining the correlation tendency direction corresponding to the spatial region of correlation analysis, the spatial region of correlation can be divided into multiple regions of interest along the correlation tendency direction. Based on the distance between the division center point and the potential risk point of each region of interest, different correlation influence weights are set for different regions of interest. The smaller the distance between the division center point and the potential risk point, the greater the corresponding correlation influence weight.

[0060] Step S240: Based on the total renovation impact value and the associated impact weights corresponding to each designated area of ​​concern, optimize the renovation impact value corresponding to the non-concerned hidden danger points in each designated area of ​​concern.

[0061] Specifically, the influence weights corresponding to each area of ​​concern can be multiplied with the total renovation influence value to obtain the influence correction value for each area of ​​concern. Then, the renovation influence values ​​corresponding to non-concerned hidden danger points in each area of ​​concern can be optimized based on the influence correction values.

[0062] In this embodiment of the application, by identifying the overlapping modification cycle of overlapping modification processes and determining the modification cycle of concern, it is convenient to accurately locate the core period when multiple overlapping modification processes superimpose their effects on key hidden danger areas. By determining the spatial area of ​​concern based on the total modification impact value, it is convenient to clearly define the radiation range of high-risk overlapping modification processes and avoid deviations caused by the risk assessment range being too large or too small. By identifying the direction of correlation tendency and dividing the area of ​​concern along this direction with different correlation impact weights, it is possible to accurately adapt to the actual law of risk transmission from key hidden danger areas along specific directions. Based on the total modification impact value and the correlation impact weights of the divided areas of concern, the modification impact value of non-concerned hidden danger points is optimized, which facilitates the accurate transmission and quantification of risks from high-risk areas to surrounding non-critical hidden danger points and avoids the assessment deviation of surrounding hidden danger points caused by ignoring the risk spillover effect of key areas.

[0063] This application provides an early warning system, such as... Figure 3 As shown, Figure 3The warning 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 warning system 300 may also include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one, and the structure of this warning system 300 does not constitute a limitation on the embodiments of this application.

[0064] 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.

[0065] 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.

[0066] 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.

[0067] 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.

[0068] The early warning 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 warning 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.

[0069] 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.

[0070] 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.

[0071] 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.

[0072] 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 early warning of building structural safety, characterized in that, include: Acquire monitoring point data of the building to be renovated, and determine the basic hidden danger points in the building to be renovated and the basic hidden danger value of each basic hidden danger point based on the monitoring point data. The monitoring point data includes the structural type, degree of damage and location of each monitoring point. Obtain the renovation plan data, and based on the basic hidden danger monitoring point data corresponding to each basic hidden danger point and the renovation procedures and renovation cycle in the renovation plan data, determine the renovation impact value of each renovation procedure on each basic hidden danger point; Based on the basic hazard value and the transformation impact value corresponding to each basic hazard point, the impact hazard value corresponding to each basic hazard point is determined, and based on the preset hazard threshold, it is determined whether the target hazard point is included. The target hazard point is a basic hazard point whose impact hazard value is higher than the preset hazard threshold. If so, then based on the target hazard monitoring point data corresponding to the target hazard point, a reference control point corresponding to the target hazard point is identified from the non-basic hazard points in the building to be renovated, and a safety early warning feedback information is generated based on the comparison renovation parameters corresponding to the target hazard point and the reference control point.

2. The method for early warning of building structural safety according to claim 1, characterized in that, Based on the basic hazard monitoring point data corresponding to the basic hazard points and the renovation procedures and renovation cycles in the renovation plan data, determine the renovation impact value of each renovation procedure on the basic hazard points, including: Identify the location and structural type of the basic hidden danger corresponding to the basic hidden danger point from the monitoring point data of the basic hidden danger point, and identify the renovation location of the renovation area corresponding to each renovation process; Based on the location of the basic hidden danger and each modification location, as well as the structural type corresponding to the location of the basic hidden danger, the interval attenuation coefficient between the basic hidden danger point and each modification process is determined. Based on the mapping relationship between the degree of influence of each modification process and the preset process, the initial process influence value corresponding to each modification process is determined. Based on the interval attenuation coefficient between the basic hidden danger location and each modification location and the initial process influence value corresponding to each modification process, the secondary process influence value caused by each modification process to the basic hidden danger point is determined. Identify the historical environmental parameters corresponding to the transformation cycle of each transformation process, and determine the environmental correction coefficient corresponding to each transformation process based on each historical environmental parameter. The historical environmental parameters include average temperature, average humidity, and average precipitation. The time-degradation coefficient for each modification process is determined based on the modification cycle corresponding to each modification process and the environmental correction coefficient. The impact value of each modification process on the basic hidden danger point is determined based on the influence coefficient of the secondary process corresponding to each modification process and the time decay coefficient.

3. The method for early warning of building structural safety according to claim 2, characterized in that, When the structural type corresponding to the location of the basic hidden danger is a preset concern structural type, it also includes: The basic hidden danger points whose structural type is a preset concern structure are identified as the hidden danger points, and the analysis area of ​​the hidden danger points is determined based on the basic hidden danger value corresponding to the hidden danger points. Based on the preset concern structure type, related hazard points and the corresponding locations of related hazards are identified from the concern hazard analysis area. The related hazard points are other basic hazard points in the concern hazard analysis area whose structure type is the preset concern structure type. The association analysis space area is determined based on the basic hazard location corresponding to the hazard point of concern and the associated hazard location corresponding to each associated hazard point, and the associated space ratio between the association analysis space area and the building to be modified is identified. The transformation areas corresponding to each transformation process are identified from the transformation plan data, and the correlation analysis space area is compared with each transformation area to determine the overlapping transformation areas and the percentage of overlap between each overlapping transformation area and the correlation analysis space area. The chain reaction correction coefficient is determined based on the proportion of the associated space and the proportion of each overlapping space, and the interval attenuation coefficient between the potential hazard point and each renovation process is corrected based on the chain reaction correction coefficient.

4. The building structure safety early warning method according to claim 3, characterized in that, When the cascading effect correction coefficient is greater than a preset correction coefficient threshold, the following is also included: Identify the overlapping modification cycles of the overlapping modification processes corresponding to each overlapping modification area, and compare the overlapping modification cycles to determine the focus modification cycles corresponding to all overlapping modification processes. Determine the total renovation impact value between each renovation process and the potential hazard point within the renovation cycle, and determine the attention space area of ​​the potential impact point in the building to be renovated based on the total renovation impact value; Identify the association tendency direction corresponding to the association analysis spatial region, and divide the association spatial region into multiple division interest regions along the association tendency direction. Different division interest regions correspond to different association influence weights. Based on the total renovation impact value and the associated impact weights corresponding to each designated area of ​​concern, the renovation impact values ​​corresponding to non-concerned hidden danger points in each designated area of ​​concern are optimized.

5. A method for early warning of building structural safety according to claim 4, characterized in that, The identification of the association tendency direction corresponding to the association analysis spatial region includes: Identify the vertex spatial coordinates corresponding to each spatial vertex in the association analysis spatial region, and determine the spatial centroid coordinates corresponding to the spatial centroid of the association analysis spatial region based on the spatial coordinates of each vertex. Based on the spatial coordinates of the centroid and the spatial coordinates of each vertex, determine the vertex offset vector between each spatial vertex and the spatial centroid, and determine the vector magnitude of each vertex offset vector. Based on the total transformation impact value, the module length screening value is determined. Based on the module length screening value, the vector to be fitted is determined from all vertex offset vectors. The vector to be fitted is then fitted to obtain the initial fitting vector. Identify the construction progress direction corresponding to each modification process of interest, and fit all the construction progress directions to obtain the construction fitting direction; Identify the fitting angle between the initial fitting vector and the construction fitting direction, and determine the vector correction coefficient based on the fitting angle; The initial fitting vector is optimized based on the vector correction coefficient to obtain the target fitting vector, and the direction of the target fitting vector is determined as the correlation tendency direction corresponding to the correlation analysis spatial region.

6. The method for early warning of building structural safety according to claim 1, characterized in that, The generation of safety early warning feedback information based on the control parameters corresponding to the target hazard point and the reference control point includes: Safety warning information is generated based on the target hazard points and the corresponding impact hazard values ​​of the target hazard points; Based on the renovation plan data, determine the renovation parameters corresponding to the target hidden danger point and the reference renovation parameters corresponding to the reference control point; Based on the preset comparison dimensions, the hidden danger transformation parameters, and the reference transformation parameters, the dimensional difference values ​​between the target hidden danger point and the reference control point in each preset comparison dimension are determined. Target difference comparison dimensions are selected from multiple preset comparison dimensions, and difference feedback information is determined based on the target difference comparison dimensions. The target difference comparison dimensions are preset comparison dimensions whose dimension difference values ​​are higher than preset difference thresholds. The security warning feedback information is determined based on the security warning information and the difference feedback information.

7. An early warning system, characterized in that, The early warning 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 building structure safety early warning method according to any one of claims 1-6.

8. A computer-readable storage medium, characterized in that, include: The computer program is stored and 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 building structure safety early warning method according to any one of claims 1-6.

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