Combined assembled curtain wall operation monitoring system based on data analysis

Abstract

The present invention belongs to the technical field of curtain wall operation supervision, and specifically is a combined assembled curtain wall operation monitoring system based on data analysis, including a server, a drone inspection module, a curtain wall damage detection module, a curtain wall displacement detection module, a curtain wall safety assessment module and a management terminal; the present invention uses a curtain wall damage detection module to accurately feedback the surface damage risk of a combined assembled curtain wall based on a curtain wall surface image, the curtain wall displacement detection module monitors and analyzes the displacement deformation status of the curtain wall to accurately feedback the displacement deformation risk of the combined assembled curtain wall, and the curtain wall safety assessment module generates a curtain wall operation early warning signal or a curtain wall operation safety signal through a comprehensive curtain wall safety assessment analysis, which can timely remind management personnel to make corresponding improvement measures, realize comprehensive monitoring and assessment of the combined assembled curtain wall operation risk, significantly reduce the safety hazards existing in the curtain wall, ensure personnel safety and property safety, and has a high degree of intelligence.

Description

Technical Field

[0001] The present invention relates to the technical field of curtain wall operation supervision, and in particular to a combined assembled curtain wall operation monitoring system based on data analysis. Background Art

[0002] Combined prefabricated curtain wall refers to the processing and manufacturing of various components of the building curtain wall in the factory, and then combining them into a facade system in a standardized way, and finally quickly assembling them at the construction site to form a high-quality curtain wall structure. Combined prefabricated curtain wall is an efficient, energy-saving and environmentally friendly building exterior enclosure structure, which is widely used in modern buildings;

[0003] As an important part of modern buildings, the safety, stability and durability of combined prefabricated curtain walls are increasingly concerned. However, traditional curtain wall monitoring systems are difficult to comprehensively monitor and evaluate the safety status of curtain walls and provide timely feedback and warnings. They cannot meet the high requirements of modern buildings for curtain wall operation monitoring, increase the difficulty of management personnel in curtain wall operation monitoring management, and have a low level of intelligence.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a combined assembled curtain wall operation monitoring system based on data analysis, which solves the problems that the prior art is difficult to comprehensively monitor and evaluate the safety status of the curtain wall and provide timely feedback and early warning, cannot meet the high requirements of modern buildings for curtain wall operation monitoring, is difficult to manage and has a low degree of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The combined assembled curtain wall operation monitoring system based on data analysis includes a server, a drone inspection module, a curtain wall damage detection module, a curtain wall displacement detection module, a curtain wall safety assessment module and a management terminal; the drone inspection module flies according to the set flight route, and scans and photographs the curtain wall surface through the scanning camera equipment it carries, collects the surface image of the curtain wall and sends it to the curtain wall damage detection module via the server;

[0008] The curtain wall damage detection module captures the surface damage of the curtain wall based on the surface image of the curtain wall, obtains the curtain wall damage inspection value through analysis, and sends the curtain wall damage inspection value to the curtain wall safety assessment module through the server; the curtain wall displacement detection module monitors and analyzes the displacement deformation of the curtain wall, obtains the curtain wall displacement inspection value through analysis, and sends the curtain wall displacement inspection value to the curtain wall safety assessment module through the server;

[0009] The curtain wall safety assessment module generates a curtain wall operation warning signal or a curtain wall operation safety signal based on the curtain wall damage inspection value and the curtain wall relocation inspection value and through a comprehensive curtain wall safety assessment analysis. The curtain wall operation warning signal or the curtain wall operation safety signal is sent to the management terminal via the server. When the management terminal receives the curtain wall operation warning signal, it issues a corresponding warning.

[0010] Furthermore, the specific operation process of the curtain wall damage detection module includes:

[0011] Capture all the damage existing on the curtain wall surface, set several detection areas on the curtain wall surface, obtain the number of detection areas involved in the corresponding damage and mark it as the damage area detection value, and obtain the area of ​​the corresponding damage and mark it as the damage surface detection value, compare the damage area detection value and the damage surface detection value with the preset damage area detection threshold and the preset damage surface detection threshold respectively, if the damage area detection value or the damage surface detection value exceeds the corresponding preset threshold, mark the corresponding damage as abnormal surface damage;

[0012] The number of damages on the curtain wall surface is obtained and marked as the damage number inspection value, and the number of abnormal surface damage on the curtain wall surface is ratioed to the damage number inspection value to obtain the abnormal damage proportion inspection value, and the number ratio of the detection areas on the curtain wall surface involving damage is marked as the damage area condition value. The curtain wall damage inspection value is obtained by numerically calculating the damage number inspection value, the abnormal damage proportion inspection value and the damage area condition value.

[0013] Furthermore, the specific operation process of the curtain wall displacement detection module includes:

[0014] A number of monitoring points are set on the curtain wall, and the actual positions of the corresponding monitoring points are collected. The displacement value of the corresponding monitoring point is obtained based on the coordinates of the actual position and the corresponding initial coordinates. The displacement value is numerically compared with the preset displacement threshold. If the displacement value exceeds the preset displacement threshold, the corresponding monitoring point is marked as a storage displacement point, and the number of storage displacement points in the curtain wall is obtained and the ratio is calculated with the number of monitoring points to obtain the storage displacement detection value; the displacement analysis value is obtained by averaging the displacement values ​​of all monitoring points, and the curtain wall displacement detection value is obtained by numerically calculating the displacement analysis value and the storage displacement detection value.

[0015] Furthermore, the specific analysis process of the comprehensive evaluation and analysis of curtain wall safety is as follows:

[0016] The curtain wall damage inspection value and the curtain wall relocation inspection value are obtained, and the curtain wall damage inspection value and the curtain wall relocation inspection value are numerically compared with the preset curtain wall damage inspection threshold and the preset curtain wall relocation inspection threshold respectively. If the curtain wall damage inspection value or the curtain wall relocation inspection value exceeds the corresponding preset threshold, a curtain wall operation warning signal is generated;

[0017] If both the curtain wall damage inspection value and the curtain wall relocation inspection value do not exceed the corresponding preset thresholds, the curtain wall vibration condition value is obtained through analysis, and the curtain wall safety assessment value is obtained by numerically calculating the curtain wall damage inspection value, the curtain wall relocation inspection value and the curtain wall vibration condition value. The curtain wall safety assessment value is numerically compared with the preset curtain wall safety assessment threshold. If the curtain wall safety assessment value exceeds the preset curtain wall safety assessment threshold, a curtain wall operation early warning signal is generated; if the curtain wall safety assessment value does not exceed the preset curtain wall safety assessment threshold, a curtain wall operation safety signal is generated.

[0018] Furthermore, the method for analyzing and obtaining the curtain wall vibration value is as follows:

[0019] Monitor the vibration data at several positions on the curtain wall in real time, obtain the vibration curve at the corresponding position on the curtain wall within a unit time, establish a rectangular coordinate system in the first quadrant with time as the X-axis and vibration data as the Y-axis, and place the vibration curve in the rectangular coordinate system; draw a ray parallel to the X-axis and with the endpoint on the Y-axis in the rectangular coordinate system, and mark the drawn ray as a vibration judgment ray;

[0020] The part of the vibration curve located above the vibration judgment ray and all the closed areas enclosed by the vibration judgment ray are obtained, the area of ​​the corresponding closed area is collected and marked as the vibration ultrasonic surface inspection value, the vibration ultrasonic surface inspection values ​​of all the closed areas are summed up to obtain the vibration ultrasonic surface analysis value, and the vibration ultrasonic surface inspection value with the largest value is marked as the vibration ultrasonic surface amplitude, and the number of closed areas whose vibration ultrasonic surface inspection values ​​exceed the preset vibration ultrasonic surface inspection threshold is marked as the vibration risk number inspection value;

[0021] The vibration condition value is obtained by numerically calculating the vibration super-surface analysis value, the vibration super-surface amplitude value and the vibration danger detection value, and the vibration condition value is numerically compared with the preset vibration condition threshold value. If the vibration condition value exceeds the preset vibration condition threshold value, the corresponding position is marked as a vibration danger position;

[0022] The vibration condition values ​​of all positions on the curtain wall are obtained and their average is calculated to obtain the vibration inspection value, and the number of vibration risk positions on the curtain wall is marked as the vibration risk inspection value; and a rectangular frame is used to move at a uniform speed on the surface image of the curtain wall, and the number of vibration risk positions covered in the rectangular frame is obtained in real time and marked as the risk position actual inspection value, and after the movement of the rectangular frame is completed, the risk position actual inspection value with the largest value is obtained and marked as the risk position aggregate amplitude value; the curtain wall vibration condition value is obtained by numerically calculating the vibration inspection value, the vibration risk inspection value and the risk position aggregate amplitude value.

[0023] Furthermore, the server is communicatively connected with the inspection feasibility assessment module. Before the drone inspection module inspects the curtain wall, the inspection feasibility assessment module analyzes the inspection feasibility performance of the drone inspection module, and generates an inspection feasibility qualified signal or an inspection feasibility unqualified signal through the analysis, and sends the inspection feasibility qualified signal or the inspection feasibility unqualified signal to the management terminal via the server. When the management terminal receives the inspection feasibility qualified signal, it arranges the drone inspection module to scan and photograph the curtain wall, and issues a corresponding warning when it receives the inspection feasibility unqualified signal.

[0024] Furthermore, the specific analysis process of the inspection feasibility assessment module is as follows:

[0025] The flight route of the set drone inspection module is obtained, several inspection points are set on the flight route, the light illumination data, temperature data and humidity data of the corresponding inspection points are collected, and the deviation value of the light illumination data compared with the preset light illumination standard value is marked as the light detection value. Similarly, the temperature detection value and humidity detection value are obtained, and the dust and haze value and wind speed detection value of the corresponding detection point are collected. The inspection point condition value is obtained by numerically calculating the light detection value, temperature detection value, humidity detection value, dust and haze value and wind speed detection value;

[0026] The inspection point condition values ​​of all detection points are averaged to obtain the inspection summary value, and the number of detection points whose inspection point condition values ​​exceed the preset inspection point condition threshold is marked as the inspection anomaly value. The inspection summary value and the inspection anomaly value are numerically compared with the preset inspection summary threshold and the preset inspection anomaly threshold respectively. If the inspection summary value or the inspection anomaly value exceeds the corresponding preset threshold, an inspection feasibility unqualified signal is generated; if both the inspection summary value and the inspection anomaly value do not exceed the corresponding preset threshold, an inspection feasibility qualified signal is generated.

[0027] Furthermore, the server is communicatively connected with the inspection execution and supervision module. During the flight of the drone inspection module, the inspection execution and supervision module analyzes the operating status of the drone inspection module, determines the inspection risk status of the drone through analysis, and generates a supervision abnormality signal or a supervision normal signal. The supervision abnormality signal or the supervision normal signal is sent to the management terminal via the server, and the management terminal issues a corresponding warning when receiving the supervision abnormality signal.

[0028] Furthermore, the specific analysis process of the inspection execution supervision module is as follows:

[0029] The actual flight route of the drone inspection module during flight is obtained, and the actual flight route is compared with the set flight route to obtain all flight deviation processes during the flight process, and the deviation duration and average deviation distance of the corresponding flight deviation process are collected. The deviation duration and average deviation distance are numerically compared with the preset deviation duration threshold and the preset average deviation distance threshold, respectively. If the deviation duration and the average deviation distance both exceed the corresponding preset thresholds, the corresponding flight deviation process is marked as a deviation process;

[0030] The number of deviation processes in the corresponding flight process is obtained and marked as the deviation number detection value, and the deviation time of all flight deviation processes is summed up to obtain the deviation time detection value, and the path length of the actual flight route compared with the set flight route is marked as the deviation path value; the inspection and management value is obtained by numerically calculating the deviation number detection value, the deviation time detection value and the deviation path value, and the inspection and management value is numerically compared with the preset inspection and management threshold. If the inspection and management value exceeds the preset inspection and management threshold, a supervision abnormality signal is generated; if the inspection and management value does not exceed the preset inspection and management threshold, a supervision normal signal is generated.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. In the present invention, the curtain wall damage detection module accurately feeds back the surface damage risk of the combined assembled curtain wall based on the curtain wall surface image, the curtain wall displacement detection module monitors and analyzes the displacement deformation of the curtain wall to accurately feed back the displacement deformation risk of the combined assembled curtain wall, and the curtain wall safety assessment module comprehensively monitors and assesses the operation risk of the combined assembled curtain wall through comprehensive curtain wall safety assessment and analysis, thereby significantly reducing the safety hazards of the curtain wall, ensuring the safety of personnel and property, and having a high degree of intelligence;

[0033] 2. In the present invention, the inspection feasibility performance of the UAV inspection module is analyzed through the inspection feasibility evaluation module, and when the inspection feasibility qualified signal is generated, the UAV inspection module is arranged to scan and photograph the curtain wall to ensure the flight safety of the UAV inspection module and the quality of the collected scanning images. The operation status of the UAV inspection module is analyzed through the inspection execution supervision module, and the inspection risk status of the UAV is judged through analysis. When the supervision abnormality signal is generated, the UAV inspection module is subjected to corresponding inspection and maintenance operations to ensure its performance and flight safety, with a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0035] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0036] Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] Embodiment 1: Figure 1 As shown, the combined assembled curtain wall operation monitoring system based on data analysis proposed by the present invention includes a server, a drone inspection module, a curtain wall damage detection module, a curtain wall displacement detection module, a curtain wall safety assessment module and a management terminal; wherein the drone inspection module flies according to a set flight route, and scans and photographs the curtain wall surface through the scanning camera equipment carried by itself, collects the surface image of the curtain wall and sends it to the curtain wall damage detection module via the server;

[0039] The curtain wall damage detection module captures the surface damage of the curtain wall (mainly crack damage) based on the surface image of the curtain wall, obtains the curtain wall damage inspection value WX through analysis, and sends the curtain wall damage inspection value WX to the curtain wall safety assessment module through the server. It can not only reasonably analyze and accurately feedback the surface damage risk of the combined prefabricated curtain wall, but also provide data support for the analysis process of the curtain wall safety assessment module to ensure the accuracy of its analysis results; the specific operation process of the curtain wall damage detection module is as follows:

[0040] Capture all the damage existing on the curtain wall surface, set several detection areas on the curtain wall surface, obtain the number of detection areas involved in the corresponding damage and mark them as the damage area detection value, and obtain the area of ​​the corresponding damage and mark it as the damage surface detection value, and compare the damage area detection value and the damage surface detection value with the preset damage area detection threshold and the preset damage surface detection threshold respectively. If the damage area detection value or the damage surface detection value exceeds the corresponding preset threshold, it indicates that the corresponding damage poses a great safety hazard to the curtain wall as a whole, and the corresponding damage is marked as abnormal surface damage;

[0041] The number of damages on the curtain wall surface is obtained and marked as the damage number inspection value, and the number of abnormal surface damages on the curtain wall surface is calculated by ratio with the damage number inspection value to obtain the abnormal damage proportion inspection value, and the proportion of the number of detection areas involving damage on the curtain wall surface (that is, the ratio of the number of detection areas with damage to the total number of detection areas) is marked as the damage area value;

[0042] By formula The damage number inspection value WY, the abnormal damage ratio inspection value WF and the damage area condition value WS are numerically calculated to obtain the curtain wall damage inspection value WX; wherein, c1, c2, c3 are preset proportional coefficients, and the values ​​of c1, c2, c3 are all greater than zero; and, the larger the value of the curtain wall damage inspection value WX, the more serious the surface damage of the combined prefabricated curtain wall is in general, and the greater the potential safety hazard.

[0043] The curtain wall displacement detection module monitors and analyzes the displacement deformation of the curtain wall, obtains the curtain wall displacement detection value QX through analysis, and sends the curtain wall displacement detection value QX to the curtain wall safety assessment module through the server. It can not only reasonably analyze and accurately feedback the displacement deformation risk of the combined prefabricated curtain wall, but also provide data support for the analysis process of the curtain wall safety assessment module to ensure the accuracy of its analysis results; the specific operation process of the curtain wall displacement detection module is as follows:

[0044] A number of monitoring points are set on the curtain wall, and the actual positions of the corresponding monitoring points are collected. The displacement value of the corresponding monitoring point is obtained based on the coordinates of the actual position and the corresponding initial coordinates, wherein the displacement value is a data quantity value indicating the displacement degree of the corresponding monitoring point. The larger the displacement value is, the more serious the displacement of the corresponding monitoring point is; the displacement value is compared with the preset displacement threshold value. If the displacement value exceeds the preset displacement threshold value, it indicates that the displacement of the corresponding monitoring point is more serious, and the corresponding monitoring point is marked as a stored displacement point;

[0045] The number of storage and displacement points in the curtain wall is obtained and the ratio is calculated with the number of monitoring points to obtain the storage and displacement detection value. The displacement analysis value is obtained by averaging the displacement values ​​of all monitoring points, and the formula is used to calculate the average displacement value of all monitoring points. The displacement analysis value QY and the storage displacement detection value QP are numerically calculated to obtain the curtain wall displacement detection value QX; wherein, kp1 and kp2 are preset proportional coefficients, kp2>kp1>0; and, the larger the value of the curtain wall displacement detection value QX, the greater the overall displacement risk of the combined prefabricated curtain wall.

[0046] The curtain wall safety assessment module generates a curtain wall operation warning signal or a curtain wall operation safety signal based on the curtain wall damage inspection value and the curtain wall transfer inspection value through a comprehensive curtain wall safety assessment analysis, and sends the curtain wall operation warning signal or the curtain wall operation safety signal to the management terminal via the server. When the management terminal receives the curtain wall operation warning signal, it issues a corresponding warning, which can promptly remind the management personnel to take corresponding improvement measures to reduce the safety hazards of the curtain wall and ensure the safety of personnel and property. The specific analysis process of the comprehensive curtain wall safety assessment analysis is as follows:

[0047] The curtain wall damage inspection value WX and the curtain wall relocation inspection value QX are obtained, and the curtain wall damage inspection value WX and the curtain wall relocation inspection value QX are numerically compared with the preset curtain wall damage inspection threshold and the preset curtain wall relocation inspection threshold, respectively. If the curtain wall damage inspection value WX or the curtain wall relocation inspection value QX exceeds the corresponding preset threshold, a curtain wall operation warning signal is generated;

[0048] If the curtain wall damage inspection value WX and the curtain wall relocation inspection value QX do not exceed the corresponding preset thresholds, the curtain wall vibration condition value is obtained through analysis, specifically: real-time monitoring of vibration data at several positions on the curtain wall (i.e., the sum of the vibration amplitude and the vibration frequency), obtaining the vibration curve at the corresponding position on the curtain wall per unit time, establishing a rectangular coordinate system in the first quadrant with time as the X-axis and vibration data as the Y-axis, and placing the vibration curve in the rectangular coordinate system; drawing a ray parallel to the X-axis and with the endpoint on the Y-axis in the rectangular coordinate system, and marking the drawn ray as a vibration judgment ray; it should be noted that the value of the ordinate of the vibration judgment ray is the preset vibration data threshold, and the value of the preset vibration data threshold is greater than zero;

[0049] The part of the vibration curve located above the vibration judgment ray and all the closed areas enclosed by the vibration judgment ray are obtained, the area of ​​the corresponding closed area is collected and marked as the vibration ultrasonic surface inspection value, the vibration ultrasonic surface inspection values ​​of all the closed areas are summed up to obtain the vibration ultrasonic surface analysis value, and the vibration ultrasonic surface inspection value with the largest value is marked as the vibration ultrasonic surface amplitude, and the vibration ultrasonic surface inspection value is numerically compared with the preset vibration ultrasonic surface inspection threshold, and the number of closed areas whose vibration ultrasonic surface inspection values ​​exceed the preset vibration ultrasonic surface inspection threshold is marked as the vibration risk number inspection value;

[0050] By formula The vibration condition value RF is obtained by numerically calculating the vibration super-surface analysis value RY, the vibration super-surface amplitude value RP and the vibration risk detection value RK, wherein hy1, hy2 and hy3 are preset proportional coefficients, and hy3>hy2>hy1>0; and the larger the value of the vibration condition value RF is, the more severe the vibration at the corresponding position on the curtain wall is, and the greater the potential safety hazard is; the vibration condition value RF is numerically compared with the preset vibration condition threshold value, and if the vibration condition value RF exceeds the preset vibration condition threshold value, it indicates that the potential safety hazard at the corresponding position on the curtain wall is greater, and the corresponding position is marked as a vibration risk position;

[0051] The vibration condition values ​​of all positions on the curtain wall are obtained and the average is calculated to obtain the vibration detection value, and the number of vibration risk positions on the curtain wall is marked as the vibration risk detection value; and a rectangular frame is used to move at a uniform speed on the surface image of the curtain wall, and the number of vibration risk positions covered in the rectangular frame is obtained in real time and marked as the risk position actual detection value, and after the movement of the rectangular frame is completed, the risk position actual detection value with the largest value is obtained and marked as the risk position amplitude value;

[0052] By formula The vibration condition value PW, the vibration risk value PM and the risk position amplitude value PS are numerically calculated to obtain the curtain wall vibration condition value PX; wherein fg1, fg2 and fg3 are preset proportional coefficients, fg3>fg2>fg1>0; and the larger the value of the curtain wall vibration condition value PX, the greater the vibration risk of the combined assembled curtain wall in general;

[0053] By formula The curtain wall damage inspection value WX, the curtain wall transfer inspection value QX and the curtain wall vibration condition value PX are numerically calculated to obtain the curtain wall safety assessment value MQ, wherein ew1, ew2 and ew3 are preset proportional coefficients, and the values ​​of ew1, ew2 and ew3 are all greater than zero; and the larger the value of the curtain wall safety assessment value MQ is, the worse the safety of the combined assembled curtain wall is in general.

[0054] The curtain wall safety assessment value MQ is numerically compared with the preset curtain wall safety assessment threshold. If the curtain wall safety assessment value MQ exceeds the preset curtain wall safety assessment threshold, it indicates that the safety of the combined prefabricated curtain wall is generally poor and there are great operational risks, and a curtain wall operation warning signal is generated; if the curtain wall safety assessment value MQ does not exceed the preset curtain wall safety assessment threshold, it indicates that the safety of the combined prefabricated curtain wall is generally good, and a curtain wall operation safety signal is generated.

[0055] Embodiment 2: Figure 2 As shown, the difference between this embodiment and embodiment 1 is that the server is connected to the inspection feasibility assessment module in communication, and before the drone inspection module inspects the curtain wall, the inspection feasibility assessment module analyzes the inspection feasibility performance of the drone inspection module, generates an inspection feasibility qualified signal or an inspection feasibility unqualified signal through the analysis, and sends the inspection feasibility qualified signal or the inspection feasibility unqualified signal to the management terminal via the server;

[0056] In addition, when the management terminal receives a signal that the inspection feasibility is qualified, it arranges the drone inspection module to scan and photograph the curtain wall. When it receives a signal that the inspection feasibility is unqualified, it issues a corresponding warning. This not only ensures the flight safety of the drone inspection module, but also ensures the quality of the collected scanned images, with a high degree of intelligence. The specific analysis process of the inspection feasibility assessment module is as follows:

[0057] The flight route of the set drone inspection module is obtained, several detection points are set on the flight route, and the light illumination data, temperature data and humidity data of the corresponding detection points are collected. The deviation value of the light illumination data compared with the preset light illumination standard value is marked as the light detection value. Similarly, the temperature detection value and humidity detection value are obtained, and the dust and haze value (i.e., the data value of the dust and haze concentration) and wind speed detection value (i.e., the data value of the wind speed) of the corresponding detection points are collected;

[0058] By formula The light detection value XF, the temperature detection value XK, the humidity detection value XS, the dust and haze value XD and the wind speed detection value XP are numerically calculated to obtain the inspection point condition value XL; wherein a1, a2, a3, a4, a5 are preset proportional coefficients, and the values ​​of a1, a2, a3, a4, a5 are all greater than zero; and the larger the value of the inspection point condition value XL, the worse the environmental performance of the corresponding detection point;

[0059] The inspection point condition values ​​of all detection points are averaged to obtain the inspection summary value, and the inspection point condition value is numerically compared with the preset inspection point condition threshold, and the number of detection points whose inspection point condition values ​​exceed the preset inspection point condition threshold is marked as the inspection anomaly value, and the inspection summary value and the inspection anomaly value are numerically compared with the preset inspection summary threshold and the preset inspection anomaly threshold respectively. If the inspection summary value or the inspection anomaly value exceeds the corresponding preset threshold, it indicates that it is not suitable to arrange the drone inspection module to go for scanning and video recording at present, and an inspection feasibility unqualified signal is generated; if both the inspection summary value and the inspection anomaly value do not exceed the corresponding preset threshold, it indicates that it is more suitable to arrange the drone inspection module to go for scanning and video recording at present, and an inspection feasibility qualified signal is generated.

[0060] Embodiment 3: Figure 2 As shown, the difference between this embodiment and embodiment 1 and embodiment 2 is that the server is connected to the inspection execution and supervision module in communication. During the flight of the drone inspection module, the inspection execution and supervision module analyzes the operating status of the drone inspection module, determines the inspection risk status of the drone through analysis, and generates a supervision abnormality signal or a supervision normal signal, and sends the supervision abnormality signal or the supervision normal signal to the management terminal via the server. When the management terminal receives the supervision abnormality signal, it issues a corresponding warning to remind the management personnel to conduct cause investigation and analysis in time, and perform corresponding inspection and maintenance operations on the drone inspection module, so as to ensure its performance and flight safety; the specific analysis process of the inspection execution and supervision module is as follows:

[0061] The actual flight route of the drone inspection module during flight is obtained, and the actual flight route is compared with the set flight route to obtain all flight deviation processes during the flight (i.e., the process of not flying according to the set flight route), and the deviation duration and average deviation distance of the corresponding flight deviation process are collected. The deviation duration and average deviation distance are numerically compared with the preset deviation duration threshold and the preset average deviation distance threshold, respectively. If the deviation duration and the average deviation distance both exceed the corresponding preset threshold, indicating that the deviation of the corresponding deviation process is serious, the corresponding flight deviation process is marked as a deviation process;

[0062] The number of deviation processes in the corresponding flight process is obtained and marked as the deviation number detection value, and the deviation time of all flight deviation processes is summed up to obtain the deviation time detection value, and the path length of the actual flight route compared to the set flight route is marked as the deviation path value;

[0063] By formula The deviation detection value ZF, the deviation time detection value ZY and the deviation path value ZX are numerically calculated to obtain the inspection and management value ZP, wherein rg1, rg2 and rg3 are preset proportional coefficients, rg1>rg2>rg3>0; and the larger the value of the inspection and management value ZP, the worse the control performance of the corresponding flight process;

[0064] The inspection and management value ZP is numerically compared with the preset inspection and management threshold. If the inspection and management value ZP exceeds the preset inspection and management threshold, it indicates that the control performance of the corresponding flight process is poor, and the probability of an abnormality in the drone inspection module is high, then a supervision abnormality signal is generated; if the inspection and management value ZP does not exceed the preset inspection and management threshold, it indicates that the control performance of the corresponding flight process is good, then a supervision normal signal is generated.

[0065] The working principle of the present invention is as follows: when in use, the curtain wall surface is scanned and photographed by the drone inspection module; the curtain wall damage detection module captures the surface damage of the curtain wall based on the curtain wall surface image and obtains the curtain wall damage inspection value, which can reasonably analyze and accurately feedback the surface damage risk of the combined assembled curtain wall; the curtain wall displacement detection module monitors and analyzes the displacement deformation status of the curtain wall to obtain the curtain wall displacement inspection value, which can reasonably analyze and accurately feedback the displacement deformation risk of the combined assembled curtain wall; the curtain wall safety assessment module generates a curtain wall operation warning signal or a curtain wall operation safety signal based on the curtain wall damage inspection value and the curtain wall displacement inspection value and through a comprehensive curtain wall safety assessment analysis; when the curtain wall operation warning signal is generated, the management terminal issues a corresponding warning, which can promptly remind the management personnel to make corresponding improvement measures to reduce the safety hazards of the curtain wall, ensure the safety of personnel and property, and has a high degree of intelligence.

[0066] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The combined assembled curtain wall operation monitoring system based on data analysis is characterized by: It includes a server, a drone inspection module, a curtain wall damage detection module, a curtain wall displacement detection module, a curtain wall safety assessment module and a management terminal; the drone inspection module flies according to the set flight route, and scans and photographs the curtain wall surface through the scanning camera equipment it carries, collects the surface image of the curtain wall and sends it to the curtain wall damage detection module via the server; The curtain wall damage detection module captures the surface damage of the curtain wall based on the surface image of the curtain wall, obtains the curtain wall damage inspection value through analysis, and sends the curtain wall damage inspection value to the curtain wall safety assessment module through the server; the curtain wall displacement detection module monitors and analyzes the displacement deformation of the curtain wall, obtains the curtain wall displacement inspection value through analysis, and sends the curtain wall displacement inspection value to the curtain wall safety assessment module through the server; The curtain wall safety assessment module generates a curtain wall operation warning signal or a curtain wall operation safety signal based on the curtain wall damage inspection value and the curtain wall relocation inspection value and through a comprehensive curtain wall safety assessment analysis, and sends the curtain wall operation warning signal or the curtain wall operation safety signal to the management terminal via the server. The management terminal issues a corresponding warning when receiving the curtain wall operation warning signal; The specific analysis process of the comprehensive assessment and analysis of curtain wall safety is as follows: The curtain wall damage inspection value and curtain wall relocation inspection value are obtained. If the curtain wall damage inspection value or curtain wall relocation inspection value exceeds the corresponding preset threshold, a curtain wall operation warning signal is generated; if the curtain wall damage inspection value and curtain wall relocation inspection value do not exceed the corresponding preset threshold, the curtain wall vibration condition value is obtained through analysis; By formula The curtain wall damage inspection value WX, curtain wall displacement inspection value QX and curtain wall vibration condition value PX are numerically calculated to obtain the curtain wall safety assessment value MQ, where ew1, ew2 and ew3 are preset proportional coefficients, and the values ​​of ew1, ew2 and ew3 are all greater than zero; If the curtain wall safety assessment value exceeds the preset curtain wall safety assessment threshold, a curtain wall operation warning signal is generated; if the curtain wall safety assessment value does not exceed the preset curtain wall safety assessment threshold, a curtain wall operation safety signal is generated; The specific operation process of the curtain wall damage detection module includes: Capture all the damage on the curtain wall surface, set several detection areas on the curtain wall surface, obtain the number of detection areas involved in the corresponding damage and mark it as the damage area detection value, and obtain the area of ​​the corresponding damage and mark it as the damage surface detection value. If the damage area detection value or the damage surface detection value exceeds the corresponding preset threshold, the corresponding damage will be marked as abnormal surface damage; The number of damages on the curtain wall surface is obtained and marked as the damage number inspection value, and the number of abnormal surface damages on the curtain wall surface is calculated by ratio with the damage number inspection value to obtain the abnormal damage proportion inspection value, and the number proportion of the detection area involving damage on the curtain wall surface is marked as the damage area value; The curtain wall damage inspection value WX is obtained by numerically calculating the damage number inspection value WY, the abnormal damage ratio inspection value WF and the damage area condition value WS through the formula WX=c1*WY+c2*WF+c3*WS; among them, c1, c2, c3 are preset proportional coefficients, and the values ​​of c1, c2, c3 are all greater than zero.

2. The combined assembled curtain wall operation monitoring system based on data analysis according to claim 1 is characterized in that: The specific operation process of the curtain wall displacement detection module includes: A number of monitoring points are set on the curtain wall, and the actual positions of the corresponding monitoring points are collected. The displacement value of the corresponding monitoring point is obtained based on the coordinates of the actual position and the corresponding initial coordinates. If the displacement value exceeds the preset displacement threshold, the corresponding monitoring point is marked as a storage displacement point, and the number of storage displacement points in the curtain wall is obtained and the ratio is calculated with the number of monitoring points to obtain the storage displacement detection value; the displacement value is obtained by averaging the displacement values ​​of all monitoring points, and the displacement value QY and the storage displacement detection value QP are numerically calculated by the formula QX=kp1*QY / kp2+kp2*QP to obtain the curtain wall displacement detection value QX; wherein, kp1 and kp2 are preset proportional coefficients, kp2>kp1>0.

3. The combined assembled curtain wall operation monitoring system based on data analysis according to claim 1 is characterized in that: The analysis and acquisition method of curtain wall vibration value is as follows: Monitor the vibration data at several positions on the curtain wall in real time, obtain the vibration curve at the corresponding position on the curtain wall within a unit time, and place the vibration curve in a rectangular coordinate system; draw a ray parallel to the X-axis and with its endpoint on the Y-axis in the rectangular coordinate system, and mark the drawn ray as a vibration judgment ray; obtain the portion of the vibration curve above the vibration judgment ray and all closed areas enclosed by the vibration judgment ray, collect the area of ​​the corresponding closed area and mark it as a vibration super surface inspection value, sum up the vibration super surface inspection values ​​of all closed areas to obtain a vibration super surface analysis value, and mark the vibration super surface inspection value with the largest value as the vibration super surface amplitude, and mark the number of closed areas whose vibration super surface inspection values ​​exceed the preset vibration super surface inspection threshold as a vibration risk number inspection value; By formula The vibration level value RF is obtained by numerically calculating the vibration level analysis value RY, the vibration level amplitude value RP and the vibration risk detection value RK, wherein hy1, hy2 and hy3 are preset proportional coefficients, hy3>hy2>hy1>0; If the vibration condition value exceeds the preset vibration condition threshold, the corresponding position is marked as a vibration risk position; the vibration condition values ​​of all positions on the curtain wall are obtained and the average is calculated to obtain the vibration detection value, and the number of vibration risk positions on the curtain wall is marked as the vibration detection value; and a rectangular frame is used to move at a uniform speed on the surface image of the curtain wall, and the number of vibration risk positions covered in the rectangular frame is obtained in real time and marked as the risk position actual detection value, and after the movement of the rectangular frame is completed, the risk position actual detection value with the largest value is obtained and marked as the risk position amplitude value; The vibration condition value PW, vibration danger value PM and danger position amplitude value PS are numerically calculated by the formula PX=fg1*PW+(fg2*PM+fg3*PS) / 2 to obtain the curtain wall vibration condition value PX; wherein fg1, fg2, and fg3 are preset proportional coefficients, and fg3>fg2>fg1>0.

4. The combined assembled curtain wall operation monitoring system based on data analysis according to claim 1 is characterized in that: The server is communicatively connected with the inspection feasibility assessment module. Before the drone inspection module inspects the curtain wall, the inspection feasibility assessment module analyzes the inspection feasibility performance of the drone inspection module, generates an inspection feasibility qualified signal or an inspection feasibility unqualified signal through the analysis, and sends the inspection feasibility qualified signal or the inspection feasibility unqualified signal to the management terminal via the server.

5. The combined assembled curtain wall operation monitoring system based on data analysis according to claim 4 is characterized in that: The specific analysis process of the inspection feasibility assessment module is as follows: Get the flight route of the set drone inspection module, set several inspection points on the flight route, and use the formula The light detection value XF, the temperature detection value XK, the humidity detection value XS, the dust and haze value XD and the wind speed detection value XP are numerically calculated to obtain the inspection point condition value XL; wherein a1, a2, a3, a4, and a5 are preset proportional coefficients, and the values ​​of a1, a2, a3, a4, and a5 are all greater than zero; The inspection point condition values ​​of all detection points are averaged to obtain the inspection summary value, and the number of detection points whose inspection point condition values ​​exceed the preset inspection point condition threshold is marked as the inspection anomaly value; if the inspection summary value or the inspection anomaly value exceeds the corresponding preset threshold, an inspection feasibility failure signal is generated; if both the inspection summary value and the inspection anomaly value do not exceed the corresponding preset threshold, an inspection feasibility qualified signal is generated.

6. The combined assembled curtain wall operation monitoring system based on data analysis according to claim 4 is characterized in that: The server is communicatively connected with the inspection execution and supervision module. During the flight of the drone inspection module, the inspection execution and supervision module analyzes the operating status of the drone inspection module, determines the inspection risk status of the drone through analysis, and generates a supervision abnormality signal or a supervision normal signal, and sends the supervision abnormality signal or the supervision normal signal to the management terminal via the server.

7. The combined assembled curtain wall operation monitoring system based on data analysis according to claim 6 is characterized in that: The specific analysis process of the inspection execution supervision module is as follows: The deviation inspection value ZF, deviation time inspection value ZY and deviation path value ZX are numerically calculated through the formula ZP=rg1*ZF+(rg2*ZY+rg3*ZX) / (rg1+0.827) to obtain the inspection and management value ZP, wherein rg1, rg2 and rg3 are preset proportional coefficients, rg1>rg2>rg3>0; the inspection and management value is numerically compared with the preset inspection and management threshold. If the inspection and management value exceeds the preset inspection and management threshold, an abnormal supervision signal is generated; if the inspection and management value does not exceed the preset inspection and management threshold, a normal supervision signal is generated.

Images