Curtain wall monitoring method, device, system and storage medium

Abstract

The application discloses a curtain wall monitoring method, device and system and a storage medium, wherein the method comprises the following steps: acquiring curtain wall inspection data collected by a monitoring device in a current monitoring period, and determining damage points of a target curtain wall and corresponding damage data according to the curtain wall inspection data; updating a curtain wall information model associated with the target curtain wall determined in a previous monitoring period according to the damage points and the corresponding damage data, to obtain a curtain wall information model corresponding to the current monitoring period; determining a damage diffusion history of the damage points according to the curtain wall information models corresponding to each monitoring period; predicting a diffusion trend of the damage points according to the damage diffusion history, and generating a monitoring result corresponding to the target curtain wall according to the diffusion trend. The application aims to improve the curtain wall health monitoring efficiency and improve the curtain wall safety.

Description

Technical Field

[0001] This invention relates to the field of safety monitoring, and in particular to a method, system, device and storage medium for curtain wall safety monitoring. Background Technology

[0002] As an external envelope or decorative structure of a building, the curtain wall bears long-term loads from gravity, wind, temperature, and various environmental erosions. Over time, design and construction defects, material wear, corrosion, aging, and other hidden dangers become apparent in curtain wall projects to varying degrees, necessitating health monitoring to prevent curtain wall accidents.

[0003] In related technologies, health monitoring of curtain walls mainly relies on manual inspection. The condition of the target curtain wall is assessed manually, and curtain walls with dangers are reported. However, manual methods are slow and costly, and the efficiency of health monitoring of curtain walls is currently too low.

[0004] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main objective of this invention is to provide a method, system, device, and storage medium for curtain wall safety monitoring, aiming to improve the efficiency of curtain wall health monitoring.

[0006] To achieve the above objectives, the present invention provides a curtain wall monitoring method, the curtain wall monitoring method comprising:

[0007] Acquire the curtain wall inspection data collected by the monitoring equipment in the current monitoring cycle, and determine the damage points and corresponding damage data of the target curtain wall based on the curtain wall inspection data;

[0008] The curtain wall information model associated with the target curtain wall determined in the previous monitoring cycle is updated based on the damage points and the corresponding damage data to obtain the curtain wall information model corresponding to the current monitoring cycle.

[0009] The damage propagation process of the damage points is determined based on the curtain wall information model corresponding to each monitoring cycle.

[0010] The diffusion trend of the damage point is predicted based on the damage diffusion history, and the monitoring results corresponding to the target curtain wall are generated based on the diffusion trend.

[0011] Optionally, the step of predicting the diffusion trend of the damage point based on the damage diffusion history, and generating the monitoring result corresponding to the target curtain wall based on the diffusion trend includes:

[0012] Based on the diffusion trend, predictive damage data for the damage point will be determined for at least one monitoring period in the future;

[0013] Based on the predicted damage data, simulated damage data is determined as the damage points aggravated and spread in each of the monitoring periods when encountering different security event scenarios.

[0014] The monitoring results are generated based on predicted damage data and / or simulated damage data for at least one future monitoring period.

[0015] Optionally, after the step of generating the monitoring results based on predicted damage data or simulated damage data for at least one future monitoring period, the method further includes:

[0016] If the predicted damage data and / or simulated damage data are greater than the corresponding danger threshold, then a warning message is determined based on the predicted damage data and / or simulated damage data that are greater than the danger threshold.

[0017] The warning information will be sent to the management department platform corresponding to the predicted damage data and / or simulated damage data that are greater than the danger threshold.

[0018] Optionally, the step of determining, based on the predicted damage data, the simulated damage data showing that the damage point's spread is exacerbated in different security event scenarios during each monitoring period includes:

[0019] The event environment in which the target curtain wall will be located under each of the security event scenarios is determined based on the location information of the target curtain wall;

[0020] Obtain the pressure change curves of the target curtain wall under each of the aforementioned event environments;

[0021] The pressure value at the damage point is determined based on the pressure change curve.

[0022] The simulated damage data is used to determine the extent to which the damage point is aggravated and diffused under the pressure value based on the predicted damage data.

[0023] Optionally, the step of determining the damage propagation process of the damage point based on the curtain wall information model corresponding to each monitoring period includes:

[0024] Based on the location of the damage point, determine the starting curtain wall information model from the curtain wall information model corresponding to each monitoring cycle for the first occurrence of the damage point.

[0025] Determine the damage data of the damage points corresponding to the monitoring period of the initial curtain wall information model and the curtain wall information models generated after the initial curtain wall information model;

[0026] The diffusion rate and direction are determined based on the changes in damage data between adjacent monitoring periods;

[0027] The damage diffusion process is determined based on the diffusion rate and the diffusion direction.

[0028] Optionally, the visible light image, thermal infrared image, hyperspectral image, vibration data, and building point cloud model of the target curtain wall are determined based on the curtain wall inspection data.

[0029] Based on the visible light image and the thermal infrared image, determine the damage points and corresponding damage data of the panel and enclosure structure of the target curtain wall;

[0030] Based on the comparison and synthesis of the hyperspectral images of the target curtain wall and the undamaged tempered glass and curtain wall adhesive, a differential image with and without damage is formed, and the damage points and corresponding damage data of the target curtain wall panel and curtain wall adhesive are determined.

[0031] Based on the vibration data, the damage points and corresponding damage data of the enclosure structure and curtain wall adhesive of the target curtain wall are determined.

[0032] The building environment of the target curtain wall is simulated based on the building point cloud model. The vulnerability of the target curtain wall is analyzed by using historical wind field data to determine the current damage points and corresponding damage data of the target curtain wall. Based on the future wind field data, the wind pressure distribution on the surface of the target curtain wall is calculated to determine the future damage points and corresponding damage data of the target curtain wall.

[0033] Optionally, the monitoring device includes a drone. Before the step of acquiring the curtain wall inspection data collected by the monitoring device and determining the damage points and corresponding damage data of the target curtain wall based on the curtain wall inspection data, the method further includes:

[0034] A real-world model of the building is constructed based on the oblique photographic data of the building where the target curtain wall is located, uploaded by the drone.

[0035] Based on the real-world model, determine the target curtain wall in the building that needs to be monitored;

[0036] The inspection route for the UAV to collect inspection data of each target curtain wall in the building is determined based on the location of each target curtain wall in the building.

[0037] The drone is controlled at preset monitoring intervals to collect the curtain wall inspection data according to the inspection route.

[0038] In addition, to achieve the above objectives, the present invention also provides a curtain wall monitoring device, which includes a memory, a processor, and a curtain wall monitoring method program stored in the memory and executable on the processor. When the curtain wall monitoring method program is executed by the processor, it implements the steps of the curtain wall monitoring method as described above.

[0039] Furthermore, to achieve the above objectives, the present invention also provides a curtain wall monitoring system, the curtain wall monitoring system comprising:

[0040] The acquisition module is used to acquire the curtain wall inspection data collected by the monitoring equipment in the current monitoring cycle, and determine the damage points of the target curtain wall and the corresponding damage data based on the curtain wall inspection data.

[0041] The update module is used to update the curtain wall information model associated with the target curtain wall determined in the previous monitoring cycle based on the damage points and the corresponding damage data, so as to obtain the curtain wall information model corresponding to the current monitoring cycle.

[0042] The backtracking module is used to determine the damage propagation process of the damage point based on the curtain wall information model corresponding to each monitoring cycle;

[0043] The prediction module is used to predict the diffusion trend of the damage point based on the damage diffusion history, and generate the monitoring results corresponding to the target curtain wall based on the diffusion trend.

[0044] In addition, to achieve the above objectives, the present invention also provides a computer-readable storage medium storing a curtain wall monitoring method program, which, when executed by a processor, implements the steps of the curtain wall monitoring method as described above.

[0045] This invention proposes a curtain wall monitoring method, device, system, and storage medium. The method acquires curtain wall inspection data collected by monitoring equipment during the current monitoring cycle, and determines damage points and corresponding damage data of the target curtain wall based on the inspection data. It then updates the curtain wall information model associated with the target curtain wall determined in the previous monitoring cycle based on the damage points and corresponding damage data, obtaining the curtain wall information model corresponding to the current monitoring cycle. The method determines the damage propagation process of the damage points based on the curtain wall information models corresponding to each monitoring cycle. Based on the damage propagation process, it predicts the propagation trend of the damage points and generates monitoring results corresponding to the target curtain wall based on the propagation trend. By using curtain wall inspection data collected by monitoring equipment in different monitoring cycles to determine the damage points and corresponding damage data of the target curtain wall in different monitoring cycles, and predicting the future propagation trend of damage based on the propagation process of the damage points in multiple cycles, the method enables early monitoring of the target curtain wall condition without manual intervention, thus improving the efficiency of curtain wall health monitoring. Attached Figure Description

[0046] Figure 1 This is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiments of the present invention;

[0047] Figure 2 This is a flowchart illustrating an embodiment of the curtain wall monitoring method of the present invention;

[0048] Figure 3 This is a flowchart illustrating another embodiment of the curtain wall monitoring method of the present invention;

[0049] Figure 4 This is a simplified diagram of the curtain wall monitoring system architecture according to an embodiment of the present invention.

[0050] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0051] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0052] In related technologies, health monitoring of curtain walls mainly relies on manual inspection. The condition of the target curtain wall is assessed manually, and curtain walls with dangers are reported. However, manual methods are slow, costly, and have low safety, making the current efficiency of health monitoring of curtain walls too low.

[0053] To improve the efficiency of health monitoring of curtain walls, this invention provides a curtain wall monitoring method, device, system, and storage medium. The main steps of the method include:

[0054] Acquire the curtain wall inspection data collected by the monitoring equipment in the current monitoring cycle, and determine the damage points and corresponding damage data of the target curtain wall based on the curtain wall inspection data;

[0055] The curtain wall information model associated with the target curtain wall determined in the previous monitoring cycle is updated based on the damage points and the corresponding damage data to obtain the curtain wall information model corresponding to the current monitoring cycle.

[0056] The damage propagation process of the damage points is determined based on the curtain wall information model corresponding to each monitoring cycle.

[0057] The diffusion trend of the damage point is predicted based on the damage diffusion history, and the monitoring results corresponding to the target curtain wall are generated based on the diffusion trend.

[0058] By collecting curtain wall inspection data from monitoring equipment at different monitoring cycles, the damage points and corresponding damage data of the target curtain wall at different monitoring cycles can be determined. Based on the diffusion process of the damage points in multiple cycles, the future diffusion trend of the damage can be predicted, and the monitoring results of the target curtain wall can be obtained, thereby improving the efficiency of curtain wall health monitoring.

[0059] The claims of this invention will be described in detail below with reference to the accompanying drawings.

[0060] like Figure 1 As shown, Figure 1 This is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiments of the present invention.

[0061] In this embodiment of the invention, the terminal can be a curtain wall monitoring device or system.

[0062] like Figure 1 As shown, the terminal may include: a processor 1001, such as a CPU, a memory 1003, and a communication bus 1002. The communication bus 1002 is used to enable communication between these components. The memory 1003 may be a high-speed RAM or a stable, non-volatile memory, such as a disk drive. Optionally, the memory 1003 may also be a storage device independent of the aforementioned processor 1001.

[0063] Those skilled in the art will understand that Figure 1 The terminal structure shown does not constitute a limitation on the terminal and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0064] like Figure 1 As shown, the memory 1003, which serves as a computer storage medium, may include an operating system and a curtain wall monitoring method program.

[0065] exist Figure 1 In the terminal shown, the processor 1001 can be used to call the curtain wall monitoring method program stored in the memory 1003 and perform the following operations:

[0066] Acquire the curtain wall inspection data collected by the monitoring equipment in the current monitoring cycle, and determine the damage points and corresponding damage data of the target curtain wall based on the curtain wall inspection data;

[0067] The curtain wall information model associated with the target curtain wall determined in the previous monitoring cycle is updated based on the damage points and the corresponding damage data to obtain the curtain wall information model corresponding to the current monitoring cycle.

[0068] The damage propagation process of the damage points is determined based on the curtain wall information model corresponding to each monitoring cycle.

[0069] The diffusion trend of the damage point is predicted based on the damage diffusion history, and the monitoring results corresponding to the target curtain wall are generated based on the diffusion trend.

[0070] Furthermore, the processor 1001 can call the curtain wall monitoring method program stored in the memory 1003 and also perform the following operations:

[0071] Based on the diffusion trend, predictive damage data for the damage point will be determined for at least one monitoring period in the future;

[0072] Based on the predicted damage data, simulated damage data is determined as the damage points aggravated and spread in each of the monitoring periods when encountering different security event scenarios.

[0073] The monitoring results are generated based on predicted damage data and / or simulated damage data for at least one future monitoring period.

[0074] Furthermore, the processor 1001 can call the curtain wall monitoring method program stored in the memory 1003 and also perform the following operations:

[0075] If the predicted damage data and / or simulated damage data are greater than the corresponding danger threshold, then a warning message is determined based on the predicted damage data and / or simulated damage data that are greater than the danger threshold.

[0076] The warning information will be sent to the management department platform corresponding to the predicted damage data and / or simulated damage data that are greater than the danger threshold.

[0077] Furthermore, the processor 1001 can call the curtain wall monitoring method program stored in the memory 1003 and also perform the following operations:

[0078] The event environment in which the target curtain wall will be located under each of the security event scenarios is determined based on the location information of the target curtain wall;

[0079] Obtain the pressure change curves of the target curtain wall under each of the aforementioned event environments;

[0080] The pressure value at the damage point is determined based on the pressure change curve.

[0081] The simulated damage data is used to determine the extent to which the damage point is aggravated and diffused under the pressure value based on the predicted damage data.

[0082] Furthermore, the processor 1001 can call the curtain wall monitoring method program stored in the memory 1003 and also perform the following operations:

[0083] Based on the location of the damage point, determine the starting curtain wall information model from the curtain wall information model corresponding to each monitoring cycle for the first occurrence of the damage point.

[0084] Determine the damage data of the damage points corresponding to the monitoring period of the initial curtain wall information model and the curtain wall information models generated after the initial curtain wall information model;

[0085] The diffusion rate and direction are determined based on the changes in damage data between adjacent monitoring periods;

[0086] The damage diffusion process is determined based on the diffusion rate and the diffusion direction.

[0087] Furthermore, the processor 1001 can call the curtain wall monitoring method program stored in the memory 1003 and also perform the following operations:

[0088] Based on the curtain wall inspection data, determine the hyperspectral image, thermal infrared image and vibration data of the target curtain wall at multiple different time periods;

[0089] The damage points of the curtain wall adhesive and the corresponding damage data of the target curtain wall are determined based on the comparison results of thermal infrared images from multiple different time periods and the hyperspectral image.

[0090] The panel damage points and corresponding damage data of the target curtain wall are determined based on the most recent thermal infrared image and the hyperspectral image.

[0091] The vibration data is used to determine the damage points and corresponding damage data of the enclosure structure of the target curtain wall.

[0092] Furthermore, the processor 1001 can call the curtain wall monitoring method program stored in the memory 1003 and also perform the following operations:

[0093] A real-world model of the building is constructed based on the oblique photographic data of the building where the target curtain wall is located, uploaded by the drone.

[0094] Based on the real-world model, determine the target curtain wall in the building that needs to be monitored;

[0095] The inspection route for the UAV to collect inspection data of each target curtain wall in the building is determined based on the location of each target curtain wall in the building.

[0096] The drone is controlled at preset monitoring intervals to collect the curtain wall inspection data according to the inspection route.

[0097] The following explanation, through specific exemplary solutions, clarifies the scope of protection claimed in the claims of this invention, so that those skilled in the art can better understand the scope of protection of the claims. It is understood that the following exemplary solutions do not limit the scope of protection of this invention, but are only used to explain this invention.

[0098] For example, refer to Figure 2 In one embodiment of the curtain wall monitoring method of the present invention, the curtain wall monitoring method further includes:

[0099] Step S10: Obtain the curtain wall inspection data collected by the monitoring equipment in the current monitoring cycle, and determine the damage points of the target curtain wall and the corresponding damage data based on the curtain wall inspection data.

[0100] In this embodiment, the curtain wall serves as the building's outer enclosure structure or decorative structure, typically made of glass. The target curtain wall is the curtain wall that needs to be health-monitored. Taking a building as a unit, the target curtain walls on the building are determined. There may be several target curtain walls on a building.

[0101] During the entire lifespan of the curtain wall, quality and safety accidents such as rainwater leakage, material corrosion, panel cracking, falling, or skeleton damage may occur. Therefore, the health monitoring of the curtain wall is a long-term process. It is necessary to conduct health monitoring on the target curtain wall at intervals of the monitoring period, and the duration of the monitoring period can be preset. It should be noted that the preset monitoring period can be adjusted in real time. Based on the monitoring results of the current monitoring period, the duration of the next monitoring period can be adjusted. For example, according to the regulations in some areas, it is necessary to collect curtain wall inspection data of the target curtain wall every six months. If the monitoring results of the current monitoring period indicate that there are more than the preset proportion of unqualified target curtain walls on a building, the duration of the next monitoring period needs to be shortened to five months; if the monitoring results indicate that there are more than the preset proportion of qualified target curtain walls on a building, the duration of the next monitoring period needs to be increased to seven months, so as to balance the health monitoring effect of the curtain wall and reduce the monitoring cost.

[0102] In each monitoring period, the monitoring equipment is controlled to collect curtain wall inspection data. The curtain wall inspection data is the current measurement parameters, scanned images, and other data of the target curtain wall collected by the monitoring equipment based on its monitoring module. Health monitoring requires curtain wall inspection data as a basis. At intervals of the preset monitoring period, the monitoring equipment is controlled to collect the curtain wall monitoring data of the target curtain wall as the curtain wall inspection data corresponding to the target curtain wall in this monitoring period. In order to conduct multi-faceted monitoring of the target curtain wall, the monitoring equipment can include a combination of multi-source data acquisition modules, such as visible light cameras, infrared cameras, multispectral cameras, and lidar vibration meters, to collect different multi-source data at each stage. By collecting various data of the target curtain wall and respectively determining and mutually verifying different types of damage points and corresponding damage data of the target curtain wall, it is convenient to more comprehensively monitor the health and safety of the target curtain wall during one inspection process. The monitoring equipment can be a movable or flying unmanned device, such as a drone device and / or a ground device. When collecting data, the monitoring equipment can go to multiple buildings or locations of multiple curtain walls, thus saving the cost of data collection. It should be noted that the number and types of the monitoring equipment can be one or more.

[0103] Optionally, before the steps of obtaining the curtain wall inspection data collected by the monitoring equipment and determining the damage points and corresponding damage data of the target curtain wall according to the curtain wall inspection data, the monitoring equipment includes a drone, and further includes:

[0104] A real-world model of the building is constructed based on the oblique photographic data of the building where the target curtain wall is located, uploaded by the drone.

[0105] Based on the real-world model, determine the target curtain wall in the building that needs to be monitored;

[0106] The inspection route for the UAV to collect inspection data of each target curtain wall in the building is determined based on the location of each target curtain wall in the building.

[0107] The drone is controlled at preset monitoring intervals to collect the curtain wall inspection data according to the inspection route.

[0108] The monitoring equipment can be drones. Drones can fly along preset routes, unaffected by obstructions, reaching high altitudes and hovering. During inspections, each building can be inspected individually. Due to different designs, the number, shape, and location of target curtain walls on buildings vary. To ensure the drone can successfully collect data for each target curtain wall, its flight path needs to be planned in advance. Before the inspection, the drone is controlled to photograph the building's exterior, collecting oblique photography data. Based on this data, a real-world model of the building is constructed. One or more target curtain walls are identified based on this model. The inspection route for collecting curtain wall inspection data is determined based on the target curtain wall's location, shape, and tilt angle within the building. The inspection route includes the flight path, collection points along the flight path, and corresponding collection attitudes at each collection point. At preset inspection intervals, the drone is controlled to collect curtain wall inspection data according to the inspection route.

[0109] In this embodiment, the monitoring device collects curtain wall inspection data for each target curtain wall on the building during each monitoring cycle. The monitoring device activates the multi-source data acquisition module to collect data from the target curtain walls. After collection, the collected data and the target curtain wall identifier are associated and saved to obtain the curtain wall inspection data. This curtain wall inspection data is then uploaded to the execution entity of this method. When the curtain wall inspection data uploaded by the monitoring device is received, the damage points of the target curtain wall and the corresponding damage data are determined based on the three-dimensional model damage localization technology. The damage points include the location of the damage on the target curtain wall panel and the corresponding damage type. The damage data are parameters identified based on the damage type. For example, for point a where there is a panel crack, the corresponding damage data includes crack length and crack width; for point b where there is an outer mold bulge, the corresponding damage data includes the bulge area.

[0110] Optionally, the visible light image, thermal infrared image, hyperspectral image, vibration data, and building point cloud model of the target curtain wall are determined based on the curtain wall inspection data; the damage points and corresponding damage data of the panel and enclosure structure of the target curtain wall are determined based on the visible light image and the thermal infrared image; a differentiated image with and without damage is formed based on the comparison and synthesis processing results between the target curtain wall and the hyperspectral image of undamaged tempered glass and curtain wall adhesive, and the damage points and corresponding damage data of the panel and curtain wall adhesive of the target curtain wall are determined; the damage points and corresponding damage data of the enclosure structure and curtain wall adhesive of the target curtain wall are determined based on the vibration data; the building environment in which the target curtain wall is located is simulated based on the building point cloud model, and the vulnerability analysis of the target curtain wall is performed on the target curtain wall through historical wind field data to determine the current damage points and corresponding damage data of the target curtain wall; and the wind pressure distribution on the surface of the target curtain wall is calculated based on the future wind field data to determine the future damage points and corresponding damage data of the target curtain wall.

[0111] For curtain walls, health and safety primarily involve the curtain wall envelope, panels, and the sealant between the panels and the envelope. All three structures should be inspected; therefore, potential damage points on the target curtain wall need to be determined based on these structural differences. Due to variations in materials and installation structures, different monitoring methods are employed for different types of damage points. The multi-source data acquisition module of the monitoring equipment can collect visible light images, hyperspectral images, thermal infrared images, vibration data, and building point cloud models of the target curtain wall. Different data and their combinations can detect damage points at different locations. Curtain wall inspection data includes hyperspectral images of the target curtain wall, as well as visible light images, thermal infrared images, vibration data, and building point cloud models collected to improve the accuracy of damage identification. Based on the curtain wall inspection data, visible light images, thermal infrared images, hyperspectral images, vibration data, and the building point cloud model are determined. Based on the visible light and thermal infrared images, the corresponding damage points and damage data for the panels and envelope of the target curtain wall can be identified. Based on the comparison and synthesis of hyperspectral images of the target curtain wall and undamaged tempered glass and curtain wall adhesive, differentiated images with and without damage are generated, identifying the damage points and corresponding damage data for the target curtain wall panels and adhesive. Vibration data is used to determine the damage points and corresponding damage data for the target curtain wall's envelope and adhesive. First-order modal amplitude analysis of the curtain wall edge in the vibration data identifies the damage points and corresponding damage data for the envelope and adhesive. A building environment is simulated using a building point cloud model, and vulnerability analysis is performed on the target curtain wall using historical wind field data, enabling current assessment and early warning of the target curtain wall. Furthermore, based on future wind field data projections, the wind pressure distribution on the target curtain wall surface can be calculated, enabling future assessment and early warning of the target curtain wall.

[0112] Step S20: Update the curtain wall information model associated with the target curtain wall determined in the previous monitoring cycle based on the damage points and the corresponding damage data to obtain the curtain wall information model corresponding to the current monitoring cycle.

[0113] In this embodiment, the curtain wall information model refers to the building information model of the target curtain wall constructed using curtain wall inspection data collected by monitoring equipment or building information initially provided by drones or architectural design drawings. Before the first inspection begins, an initial curtain wall information model is constructed using the aforementioned building information. After determining the damage points and damage data in each monitoring cycle, the curtain wall information model corresponding to the previous monitoring cycle is updated to obtain the curtain wall information model corresponding to the current monitoring cycle. It should be noted that this update is not an iteration, but rather generates the curtain wall information model corresponding to the current monitoring cycle while retaining the curtain wall information model corresponding to the previous monitoring cycle.

[0114] A curtain wall information model (BIM) is a BIM model created for a target curtain wall. It enables visualization, coordination, simulation, and optimization, better representing the condition of the target curtain wall and facilitating the updating of new data. Based on the curtain wall information model, information such as material details, structural information, usage status, maintenance records, damage points, and damage data of the target curtain wall can be determined.

[0115] Step S30: Determine the damage propagation process of the damage point based on the curtain wall information model corresponding to each monitoring cycle;

[0116] In this embodiment, based on the curtain wall information model corresponding to the current and past monitoring cycles, the damage data corresponding to each damage point of the target curtain wall under different monitoring cycles can be determined. Over time, damage points may be newly added, repaired, or their damage data may spread. For example, a crack point may have a length of 1 cm and a width of 1 mm in the first monitoring cycle, a length of 2 cm and a width of 1.5 mm in the second monitoring cycle, and a length of 3 cm and a width of 2 mm in the current third monitoring cycle. Based on the curtain wall information model corresponding to each monitoring cycle, the damage diffusion process of each damage point from the start of monitoring to damage repair can be determined. Determining the damage diffusion process of the damage points existing in the curtain wall information model of the current monitoring cycle allows for prediction of the future development of these damage points.

[0117] Optionally, based on the location of the damage point, the starting curtain wall information model where the damage point first appears is determined from the curtain wall information models corresponding to each monitoring cycle; damage data of the damage point corresponding to the monitoring cycle of the starting curtain wall information model and the curtain wall information models generated after the starting curtain wall information model are determined; the corresponding diffusion rate and diffusion direction are determined based on the change value of damage data between adjacent monitoring cycles; and the damage diffusion process is determined based on the diffusion rate and the diffusion direction.

[0118] When processing curtain wall inspection data for the current monitoring period, it's crucial to focus on damage points present in the current period, rather than damage from previous periods. Damage from previous periods not appearing in the current period indicates it has been repaired and poses no threat to curtain wall safety, while current damage points may. The timing and progression of damage points on the target curtain wall within the current monitoring period may vary, requiring individual processing. First, determine the timing of each damage point's appearance. This can be done by verifying the damage point's location across different monitoring periods, identifying the initial curtain wall model where the damage point first appeared at that location.

[0119] It should be noted that there are no damage points at the same location in the curtain wall information model of the previous monitoring period corresponding to the initial curtain wall information model, and damage points exist at the same location in the monitoring periods following the initial curtain wall information model.

[0120] The damage propagation history indicates the spread of damage points. In the curtain wall information model corresponding to each monitoring cycle from the appearance of a damage point to its repair, damage data for that damage point in the corresponding monitoring cycle can be determined, thus identifying the changes in the damage point between monitoring cycles. Specifically, the curtain wall information model is determined from the initial monitoring cycle to the current monitoring cycle. Damage points at the same location and their corresponding damage data in each curtain wall information model are identified, yielding the damage data for each monitoring cycle. The change in damage data between adjacent monitoring cycles is then determined. It should be noted that for some types of damage data, changes can include both numerical and directional variations; for example, cracks can propagate in multiple directions. Based on the change in damage data, the propagation speed and direction of the damage point between adjacent monitoring cycles can be determined. Then, from the monitoring cycle in which the damage point appeared to the current monitoring cycle, the changes in the propagation speed and direction over time are determined, which constitutes the damage propagation history.

[0121] Step S40: Predict the diffusion trend of the damage point based on the damage diffusion history, and generate the monitoring results corresponding to the target curtain wall based on the diffusion trend.

[0122] In this embodiment, based on the past diffusion speed and direction of damage propagation, the diffusion speed and direction of each damage data corresponding to the current damage point in the target curtain wall can be predicted. Based on the diffusion speed and direction, combined with the structural and material information of the target curtain wall determined by the curtain wall information model of the current monitoring period, the future diffusion trend of the damage point can be predicted, thereby determining the damage data of the damage point at a certain time or period in the future. Based on the diffusion trend, it can be determined when the damage point will reach the danger threshold in the future or whether it will reach the danger threshold within a certain period of time, thus enabling the early elimination of dangerous curtain walls. Monitoring results corresponding to the target curtain wall can be generated based on the damage points and damage data and / or diffusion trends of the current detection period, thereby achieving comprehensive multi-dimensional monitoring of the health and safety of the curtain wall throughout its entire lifespan.

[0123] In the technical solution disclosed in this embodiment, curtain wall inspection data collected by monitoring equipment in the current monitoring cycle is acquired, and damage points and corresponding damage data of the target curtain wall are determined based on the curtain wall inspection data. The curtain wall information model associated with the target curtain wall determined in the previous monitoring cycle is updated based on the damage points and corresponding damage data to obtain the curtain wall information model corresponding to the current monitoring cycle. The damage propagation process of the damage points is determined based on the curtain wall information models corresponding to each monitoring cycle. The propagation trend of the damage points is predicted based on the damage propagation process, and the monitoring result corresponding to the target curtain wall is generated based on the propagation trend. By using curtain wall inspection data collected by monitoring equipment in different monitoring cycles to determine the damage points and corresponding damage data of the target curtain wall in different monitoring cycles, and by predicting the future propagation trend of damage based on the propagation process of the damage points in multiple cycles, the condition of the target curtain wall can be monitored in advance without human intervention, improving the efficiency and safety of curtain wall health monitoring.

[0124] Optionally, refer to Figure 3 Based on any of the above embodiments, in another embodiment of the curtain wall monitoring method of the present invention, the pre-processing curtain wall monitoring method for urban safety incidents by slice identification further includes:

[0125] Step S41: Determine the predicted damage data of the damage point in at least one future monitoring period based on the diffusion trend;

[0126] In this embodiment, damage data for a specific point in the future, i.e., predicted damage data, can be determined based on the diffusion trend. Predicted damage data refers to the damage data of the points in the future, assuming no sudden safety events. Over time, the damage status of most points will change, reaching a threshold that indicates the target curtain wall may experience safety consequences such as detachment or cracking. If the threshold is not reached in the short term, no intervention is needed. Since inspections are conducted periodically, it is necessary to ensure that the threshold is not reached before the next inspection. Therefore, predicted damage data for the points in at least one monitoring period needs to be determined based on the diffusion process to ensure that monitoring of the damage points remains controllable.

[0127] Optionally, environmental data for at least one future monitoring period is acquired; and based on the damage propagation process and the environmental data, predicted damage data for the damage point for at least one future monitoring period is determined.

[0128] The predicted damage data for future damage points is not only related to the structural and material information of the target curtain wall and the damage diffusion process, but also affected by environmental data. Environmental data refers to parameters in the environment where the target curtain wall is located that affect the damage points, such as temperature and humidity. These can be determined based on weather forecasts. The environmental conditions near the target curtain wall can be predicted in the future. By obtaining environmental data for at least one monitoring period in the future, and combining the damage diffusion process with the structural and material information of the target curtain wall, the diffusion speed and direction of the damage points in each future stage can be determined, thereby determining the predicted damage data for the damage points in at least one monitoring period in the future.

[0129] Step S42: Determine the simulated damage data of the damage point in each monitoring period when it encounters different security event scenarios based on the predicted damage data;

[0130] In this embodiment, the predicted damage data is based on predictable damage development outcomes, representing the natural spread of damage over time. However, unforeseen events can also influence damage development. Security incidents are unpredictable events that can cause safety damage to surrounding areas; their impact on the target curtain wall is also unpredictable, such as typhoons, earthquakes, and fires. To prevent sudden security incidents from exacerbating damage to the target curtain wall, the impact of security incidents on the target curtain wall and its damage points can be simulated in advance. Multiple security incident scenarios corresponding to possible security incidents at the location of the target curtain wall are preset. If a sudden security incident scenario occurs in at least one future monitoring period, the damage data corresponding to the damage points is obtained, i.e., simulated damage data. This determines the damage consequences of different security incident scenarios and natural curtain wall damage on the target curtain wall based on the predicted damage data. The corresponding simulated damage data can be obtained by inputting the predicted damage data into simulation algorithms corresponding to different security incident scenarios.

[0131] Optionally, the event environment in which the target curtain wall will be located under each of the security event scenarios is determined based on the location of the target curtain wall; the pressure change curve of the target curtain wall under each of the event environments is obtained; the pressure value of the damage point is determined based on the pressure change curve; and the simulated damage data is determined based on the predicted damage data, showing that the damage point is aggravated and diffused under the pressure value.

[0132] The potential emergency safety incident scenarios that a target curtain wall may encounter are not necessarily the same. These scenarios can be determined by the curtain wall's location, including its position within the building and its position on the building. Multiple safety incident scenarios can be preset based on the curtain wall's location. For example, a curtain wall located in a restroom within a building is unlikely to encounter a fire, so a fire scenario is not preset for this target curtain wall. However, an unpredictable typhoon scenario can be preset. When presetting safety incident scenarios, an event environment centered on the target curtain wall is set accordingly. The event environment is more specific than the safety incident scenario, with specific numerical impacts on the target curtain wall, such as temperature, wind direction, and wind force. Multiple different event environments can be determined based on the possible direction and intensity of the safety incident. For example, in a typhoon scenario, multiple typhoon path environments (winds blowing towards the target curtain wall in different directions) and / or multiple typhoon wind force environments (winds blowing towards the target curtain wall with different forces) can be determined. This allows for setting different event environments for the same safety scenario for the target curtain wall, thereby enhancing the simulation of safety incidents and improving the efficiency of safety incident prevention.

[0133] In a security scenario, each event environment includes specific preset parameters. Based on these preset parameters and the structural and material information of the target curtain wall, the pressure values ​​experienced by each area of ​​the target curtain wall under this event environment can be determined. These pressure values ​​can be determined through experiments, calculations, etc. A pressure change curve for the target curtain wall under this event environment is then fitted, and the target curtain wall, the event environment, and the pressure change curve are associated and saved. When determining simulated damage data, it is necessary to obtain the pressure change curve of the target curtain wall under the event environment. Based on the pressure change curve, the pressure value experienced by the damaged point is determined. Combined with predictable damage data, it can be determined that when a sudden security event occurs, the additional pressure value experienced by the damaged point will cause the damage point to evolve from the predicted damage data to the simulated loss data. Thus, based on the predicted loss data that the damaged point will likely experience in the future and the pressure value it experiences under the security event scenario, the simulated loss data can be further accurately inferred.

[0134] Step S43: Generate the monitoring results based on the damage data, predicted damage data for at least one future monitoring period, and / or simulated damage data.

[0135] In this embodiment, the simulated loss data represents the damage that the target curtain wall would likely encounter after being subjected to an unforeseen security event. Since security events are unpredictable and have a probability of occurring in the future, monitoring results for the target curtain wall can be generated based on the current damage data at the damage points, the predicted simulated damage data, and / or the simulated damage data.

[0136] Furthermore, if the damage data, the predicted damage data, and / or the simulated damage data are greater than the corresponding danger threshold, then a warning message is determined based on the damage data, predicted damage data, and / or simulated damage data that are greater than the danger threshold; and the warning message is sent to the management department platform corresponding to the damage data, predicted damage data, and / or simulated damage data that are greater than the danger threshold.

[0137] After determining the predicted damage data for at least one future monitoring period, the system compares the current damage data, predicted simulated damage data, and / or simulated damage data with the danger threshold to determine whether to output a warning message. This approach can better protect curtain wall safety, improve curtain wall safety prevention efficiency, and determine whether each predicted damage data point reaches the danger threshold. If the danger threshold is expected to be reached within the current or at least one future monitoring period, a warning message corresponding to the target curtain wall is generated and output to the relevant management department platform for repair, replacement, or other appropriate actions, thus achieving alarm and early warning for curtain wall safety.

[0138] In the technical solution disclosed in this embodiment, predicted damage data for the damage point in at least one future monitoring period is determined based on the diffusion trend; simulated damage data is determined based on the predicted damage data, showing the aggravated diffusion of the damage point in different security event scenarios during each monitoring period; and the monitoring result is generated based on the predicted damage data and / or simulated damage data for at least one future monitoring period. By considering the impact of sudden security events on curtain wall damage points, determining simulated damage data for damage points under different security event scenarios, and using simulated damage data as a condition for outputting warning information, the impact of sudden security events on the curtain wall can be avoided, improving the efficiency of curtain wall safety prevention.

[0139] Furthermore, this invention also proposes a curtain wall monitoring device, which includes a memory, a processor, and a curtain wall monitoring method program stored in the memory and executable on the processor. When the curtain wall monitoring method program is executed by the processor, it implements the steps of the curtain wall monitoring method described in the above embodiments.

[0140] Furthermore, embodiments of the present invention also propose a curtain wall monitoring system, exemplarily referring to... Figure 4 The curtain wall monitoring system 100 includes:

[0141] The acquisition module 101 is used to acquire the curtain wall inspection data collected by the monitoring equipment in the current monitoring cycle, and determine the damage points of the target curtain wall and the corresponding damage data based on the curtain wall inspection data.

[0142] The update module 102 is used to update the curtain wall information model associated with the target curtain wall determined in the previous monitoring cycle based on the damage points and the corresponding damage data, so as to obtain the curtain wall information model corresponding to the current monitoring cycle.

[0143] The backtracking module 103 is used to determine the damage propagation process of the damage point based on the curtain wall information model corresponding to each monitoring cycle.

[0144] The prediction module 104 is used to predict the diffusion trend of the damage point based on the damage diffusion history, and generate the monitoring results corresponding to the target curtain wall based on the diffusion trend.

[0145] Furthermore, this invention also proposes a computer-readable storage medium storing a curtain wall monitoring method program, which, when executed by a processor, implements the steps of the curtain wall monitoring method described in the above embodiments.

[0146] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0147] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0148] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause the curtain wall monitoring device or system to execute the methods described in the various embodiments of the present invention.

[0149] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method of monitoring a curtain wall, the method comprising: The curtain wall monitoring method comprises: acquiring curtain wall inspection data collected by a monitoring device in a current monitoring period; determining a visible light image, a thermal infrared image, a hyperspectral image, vibration data and a building point cloud model of a target curtain wall according to the curtain wall inspection data; determining damage points and corresponding damage data of panels and envelope structures of the target curtain wall according to the visible light image and the thermal infrared image; forming a differential image with or without damage by comparing and synthesizing results between the target curtain wall and undamaged tempered glass and curtain wall adhesive hyperspectral images, and determining damage points and corresponding damage data of the target curtain wall panels and curtain wall adhesive; determining damage points and corresponding damage data of the envelope structures and curtain wall adhesive of the target curtain wall according to the vibration data; simulating the building environment in which the target curtain wall is located according to the building point cloud model, performing vulnerability analysis on the target curtain wall through historical wind field data, determining the current damage points and corresponding damage data of the target curtain wall, calculating the wind pressure distribution on the surface of the target curtain wall according to the future deduced wind field data, and determining the future damage points and corresponding damage data of the target curtain wall; updating the curtain wall information model associated with the target curtain wall determined in the last monitoring period according to the damage points and corresponding damage data, to obtain the curtain wall information model corresponding to the current monitoring period; determining the damage diffusion history of the damage points according to the curtain wall information model corresponding to each monitoring period; predicting the diffusion trend of the damage points according to the damage diffusion history, and generating the monitoring result corresponding to the target curtain wall according to the diffusion trend; wherein the step of predicting the diffusion trend of the damage points according to the damage diffusion history, and generating the monitoring result corresponding to the target curtain wall according to the diffusion trend comprises: obtaining environmental data of at least one future monitoring period; determining predicted damage data of the damage points in at least one future monitoring period according to the damage diffusion history and the environmental data; determining simulated damage data of the damage points in each monitoring period when encountering different safety event scenarios according to the predicted damage data; generating the monitoring result according to the predicted damage data or simulated damage data of at least one future monitoring period.

2. The curtain wall monitoring method of claim 1, wherein, After the step of generating the monitoring result according to the predicted damage data or simulated damage data of at least one future monitoring period, the method further comprises: if the damage data, the predicted damage data and / or the simulated damage data are greater than the corresponding danger threshold, determining warning information according to the damage data, the predicted damage data and / or the simulated damage data greater than the danger threshold; sending the warning information to the management department platform corresponding to the damage data, the predicted damage data and / or the simulated damage data greater than the danger threshold.

3. The curtain wall monitoring method of claim 1, wherein, The step of determining simulated damage data of the damage points in each monitoring period when encountering different safety event scenarios according to the predicted damage data comprises: determining the event environment in which the target curtain wall will be located under each safety event scenario according to the location of the target curtain wall; acquire a pressure change curve of the target curtain wall under each of the event environments; determine a pressure value borne by the damage point according to the pressure change curve; determine the simulation damage data of the damage point under the pressure value according to the predicted damage data.

4. The curtain wall monitoring method of claim 1, wherein, The step of determining the damage propagation history of the damage point according to the curtain wall information model corresponding to each monitoring period comprises: determining a starting curtain wall information model in which the damage point first appears according to the position of the damage point from the curtain wall information model corresponding to each monitoring period; determining damage data of the damage point corresponding to the monitoring period of the starting curtain wall information model and the curtain wall information model generated after the starting curtain wall information model; determining a propagation speed and a propagation direction according to the change value of the damage data between adjacent monitoring periods; determining the damage propagation history according to the propagation speed and the propagation direction.

5. The curtain wall monitoring method of claim 1, wherein, The monitoring device comprises a drone, and before the steps of acquiring curtain wall inspection data collected by the monitoring device and determining a damage point of a target curtain wall and corresponding damage data according to the curtain wall inspection data, the method further comprises: constructing a real scene model of the building according to aerial photography data of the target curtain wall uploaded by the drone; determining the target curtain wall in the building that needs to be monitored according to the real scene model; determining an inspection route of the drone for collecting curtain wall inspection data corresponding to each target curtain wall of the building according to the position of each target curtain wall in the building; controlling the drone to collect the curtain wall inspection data according to the inspection route at a preset monitoring period.

6. A device for monitoring a curtain wall, characterized in that The curtain wall monitoring device comprises a memory, a processor, and a curtain wall monitoring method program stored on the memory and executable on the processor, and the curtain wall monitoring method program implements the steps of the curtain wall monitoring method of any one of claims 1 to 5 when executed by the processor.

7. A curtain wall monitoring system, characterized by, The curtain wall monitoring system comprises: The acquisition module is configured to acquire curtain wall inspection data collected by a monitoring device in a current monitoring period, determine a visible light image, a thermal infrared image, a hyperspectral image, vibration data, and a building point cloud model of a target curtain wall according to the curtain wall inspection data, determine damage points and corresponding damage data of panels and envelope structures of the target curtain wall according to the visible light image and the thermal infrared image, form a differential image with or without damage according to a comparison and a synthesis processing result between the target curtain wall and undamaged tempered glass and curtain wall glue hyperspectral images, determine damage points and corresponding damage data of panels and curtain wall glue of the target curtain wall, determine damage points and corresponding damage data of envelope structures and curtain wall glue of the target curtain wall according to the vibration data, simulate a building environment in which the target curtain wall is located according to the building point cloud model, perform vulnerability analysis on the target curtain wall through historical wind field data, determine current damage points and corresponding damage data of the target curtain wall, calculate wind pressure distribution on a surface of the target curtain wall according to future deduced wind field data, and determine future damage points and corresponding damage data of the target curtain wall. an updating module configured to update a curtain wall information model associated with the target curtain wall determined in a previous monitoring period according to the damage point and corresponding damage data, to obtain a curtain wall information model corresponding to a current monitoring period; a backtracking module configured to determine a damage diffusion history of the damage point according to the curtain wall information model corresponding to each monitoring period; a prediction module configured to predict a diffusion trend of the damage point according to the damage diffusion history, and generate a monitoring result corresponding to the target curtain wall according to the diffusion trend; wherein the step of predicting the diffusion trend of the damage point according to the damage diffusion history, and generating the monitoring result corresponding to the target curtain wall according to the diffusion trend comprises: obtaining environmental data of at least one future monitoring period; determining predicted damage data of the damage point in the at least one future monitoring period according to the damage diffusion history and the environmental data; determining simulated damage data of the damage point in each monitoring period when encountering different safety event scenarios according to the predicted damage data; generating the monitoring result according to the predicted damage data and / or the simulated damage data of the at least one future monitoring period.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a curtain wall monitoring method program, and the curtain wall monitoring method program is executed by the processor to implement the steps of the curtain wall monitoring method according to any one of claims 1 to 5.

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