Laser curtain wall protection optimization system and method based on finite element analysis

Abstract

The invention discloses a laser curtain wall protection optimization system and method based on finite element analysis, and relates to the technical field of protection optimization, and the system comprises a data scanning module which is used for monitoring each monitoring point on the surface of a laser curtain wall in real time, and obtaining a deformation characterization value of each monitoring point in a monitoring period; the point cloud data processing module is used for calculating an evaluation coefficient of the laser curtain wall based on the deformation characterization value of each monitoring point in the monitoring period; the evaluation module is used for evaluating the working state of the laser curtain wall and generating a state evaluation signal; the early warning monitoring module is used for receiving the state evaluation signal and generating a corresponding alarm; the optimization module is used for regulating and controlling the duration of the monitoring period in real time based on the continuous state difference signal; according to the invention, high-precision monitoring of the deformation of the laser curtain wall is realized, the safety management level and maintenance efficiency of the curtain wall are further improved by intelligently adjusting the monitoring period and evaluating the optimization effect, potential problems of the curtain wall can be timely found and solved, and long-term stable operation of the curtain wall is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power loss, and in particular to a laser curtain wall protection optimization system and method based on finite element analysis. Background Art

[0002] A laser curtain wall uses laser technology to create a virtual protective wall. When a person or object crosses this barrier, the system immediately detects it and triggers an alarm, achieving both safety and perimeter monitoring. As a high-precision safety system, the stability and reliability of a laser curtain wall are crucial. However, in practice, laser curtain walls typically use a motor to rotate the laser head, coupled with an algorithm to create a curtain wall with a specific area or shape. During use, external factors such as temperature can cause the motor shaft to deform. Furthermore, prolonged use can also cause deformation, resulting in larger or smaller deformations in the laser curtain wall.

[0003] Existing curtain walls are usually used in complex environments for a long time, especially on construction sites. The external environment is unpredictable and is greatly affected by impact, dust, and temperature. Curtain walls are prone to deformation under complex conditions. In addition, the existing system lacks the means to accurately analyze and optimize the curtain wall itself, resulting in certain safety hazards in actual applications. In addition, the existing technology cannot dynamically adjust the monitoring cycle and optimization measures according to the actual deformation of the curtain wall, resulting in low optimization efficiency and an inability to promptly and effectively solve the problems existing in the curtain wall. Summary of the Invention

[0004] The purpose of the present invention is to provide a laser curtain wall protection optimization system and method based on finite element analysis to solve the technical problems in the above background.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] Laser curtain wall protection optimization system based on finite element analysis, including:

[0007] Data scanning module: monitors each monitoring point on the surface of the laser curtain wall in real time, and obtains the deformation representation value caused by angle offset and position offset of each monitoring point during the monitoring period;

[0008] Point cloud data processing module: Based on the deformation characterization value of each monitoring point during the monitoring period, the monitoring points are divided into direct force points, indirect force points, and non-force points according to the degree of deformation. Force points include: direct force points and indirect force points. The evaluation coefficient of the laser curtain wall is obtained based on the data of the force points in the monitoring points.

[0009] Evaluation module: Based on the evaluation coefficient, if the evaluation coefficient is less than the evaluation coefficient threshold, the working state of the laser curtain wall is considered to be excellent and a good state signal is generated; otherwise, the working state of the laser curtain wall is considered to be poor and a poor state signal is generated;

[0010] Early warning monitoring module: used to receive status assessment signals and generate corresponding alarms;

[0011] Optimization module: Based on the continuous state difference signal, during the adjustment and optimization process of the laser curtain wall, the historical state of the stress points in the laser curtain wall is analyzed, and the monitoring cycle length is adjusted in real time.

[0012] Furthermore, the process of obtaining the deformation representation value is as follows:

[0013] Preset monitoring points on the surface of the laser curtain wall to scan the laser curtain wall;

[0014] At the same time, the position offset ratio and angle offset ratio of each monitoring point are obtained;

[0015] A multi-layer perceptron model is constructed, and the position offset ratio and angle offset ratio of the current monitoring point are input into the multi-layer perceptron model to obtain the deformation representation value of the monitoring point in the current period.

[0016] Furthermore, the process of obtaining the position offset ratio is as follows:

[0017] Preset the three-dimensional coordinate origin and establish a three-dimensional coordinate system to obtain the spatial coordinates of each monitoring point;

[0018] The spatial coordinates of the monitoring point within the monitoring period are compared and analyzed with the preset spatial coordinates to obtain the position offset value of the monitoring point, and the position offset value is ratio-calculated with the preset position offset value threshold to obtain the position offset ratio.

[0019] Furthermore, the process of obtaining the angle offset ratio is as follows:

[0020] Get the spatial angle of each monitoring point;

[0021] The spatial angle of the monitoring point within the monitoring period is compared and analyzed with the preset spatial angle to obtain the angle offset value of the monitoring point, and the angle offset value is compared with the preset angle offset threshold to obtain the angle offset ratio.

[0022] Furthermore, the process of dividing the monitoring points into directly stressed points, indirectly stressed points and unstressed points is as follows:

[0023] Preset a first deformation threshold and a second deformation threshold, and compare and analyze the deformation representation value of each monitoring point with the first deformation threshold and the second deformation threshold respectively;

[0024] If the deformation representation value is less than or equal to the first deformation threshold, the monitoring point corresponding to the deformation representation value is marked as a non-stressed point;

[0025] If the deformation representation value is greater than the first deformation threshold and less than or equal to the second deformation threshold, the monitoring point corresponding to the deformation representation value is marked as an indirect stress receiving point;

[0026] If the deformation characterization value is greater than the second deformation threshold, the monitoring point corresponding to the deformation characterization value is marked as a direct force point.

[0027] Furthermore, the process of obtaining the evaluation coefficient is:

[0028] Based on the ratio of direct stress points to indirect stress points to the total monitoring points, the ratio of the number of stress points of the overall deformation is obtained;

[0029] Based on the deformation representation values of the direct force-bearing point and the indirect force-bearing point, the deformation representation abnormality value of the force-bearing point is obtained, and based on the deformation representation abnormality value of the force-bearing point, the deformation representation ratio of the force-bearing point is obtained;

[0030] Then, the ratio of the number of stress points of the overall deformation is multiplied by the deformation representation ratio of the stress points to obtain the evaluation coefficient.

[0031] Furthermore, the process of obtaining the deformation representation ratio of the force point is as follows:

[0032] Obtain the direct force point, record the i-th direct force point as Zi, and record the deformation representation value of the i-th direct force point as Zyi;

[0033] By formula The total value of the direct deformation representation of the direct force points is obtained; I is the total number of direct force points;

[0034] Obtain the indirect force receiving point, record the kth indirect force receiving point as Jk, and record the deformation representation value of the kth indirect force receiving point as Jyk;

[0035] By formula Obtain the total value of the indirect representation of the deformation of the indirect stress-receiving point;

[0036] The deformation abnormality value ZJ of the force point is calculated by the formula ZJ=W*(ZYi+JYk), where W is the preset proportional coefficient;

[0037] The deformation representation ratio of the stress point is obtained by calculating the ratio of the deformation representation abnormal value of the stress point to the deformation representation abnormal threshold of the stress point.

[0038] Furthermore, the process of real-time control of the monitoring cycle length is as follows:

[0039] Based on the continuous state difference signal, the stress points of the current monitoring period are extracted and marked as the analysis points after optimization;

[0040] Extract the stress points of the previous monitoring cycle and mark them as analysis points before optimization;

[0041] Based on any pair of analysis points before optimization and analysis points after optimization, respectively extract the deformation representation values of the analysis points before optimization and the analysis points after optimization to obtain the deformation representation value before optimization and the deformation representation value after optimization;

[0042] Compare and analyze the deformation characterization value before optimization and the deformation characterization value after optimization;

[0043] If the deformation representation value before optimization is less than or equal to the deformation representation value after optimization, a point optimization failure signal is generated and the corresponding monitoring point is marked as an optimization failure point;

[0044] If the deformation representation value before optimization is greater than the deformation representation value after optimization, a point optimization success signal is generated;

[0045] Based on the optimization failure point, the deformation representation value before optimization is calculated with the deformation representation value after optimization to obtain the failure representation ratio. Then, the failure representation ratios of all optimization failure points are averaged to obtain the period adjustment coefficient.

[0046] The period adjustment coefficient is multiplied by the current monitoring period duration to obtain the next monitoring period duration.

[0047] The laser curtain wall protection optimization method based on finite element analysis includes the following steps:

[0048] Step 1: Preset monitoring points on the surface of the laser curtain wall; these monitoring points are evenly distributed on the surface of the laser curtain wall; obtain the deformation characterization value caused by angle offset and position offset of each monitoring point during the monitoring period;

[0049] Step 2: Obtain the evaluation coefficient of the laser curtain wall based on the data of the stress points in the monitoring points;

[0050] Step 3: Based on the evaluation coefficient, if the evaluation coefficient is less than the evaluation coefficient threshold, the working state of the laser curtain wall is determined to be excellent, and an excellent state signal is generated; otherwise, the working state of the laser curtain wall is determined to be poor, and a poor state signal is generated;

[0051] Step 4: Based on the continuous state difference signal, during the laser curtain wall adjustment and optimization process, the historical state of the stress points in the laser curtain wall is analyzed, and the monitoring cycle length is adjusted in real time.

[0052] Beneficial effects of the present invention:

[0053] (1) The present invention adopts three-dimensional laser scanning technology to arrange monitoring points on the surface of the curtain wall to ensure comprehensive and uniform coverage. Through continuous monitoring, the spatial coordinates and angle changes of each point within the monitoring period are recorded, and then the offset ratio of position and angle is calculated to obtain the deformation characterization value. According to the deformation characterization value, the monitoring points are classified into directly stressed, indirectly stressed and unstressed points. By weighted statistics of the number of points of each type and the degree of deformation, the overall deformation stress point ratio and degree value are calculated, and finally integrated into an evaluation coefficient to provide a basis for curtain wall status evaluation. According to the preset evaluation threshold, the evaluation coefficient is converted into an intuitive working status signal - good or bad, so as to realize rapid judgment of curtain wall performance. The status evaluation signal is responded to immediately, and an adjustment alarm is issued for the "bad" status to guide precise optimization. The "good" status remains silent and no intervention is required. The present invention not only realizes high-precision and all-weather monitoring of laser curtain wall deformation, but also provides early warning of potential risks through intelligent analysis, effectively improving the safety management level and maintenance efficiency of the curtain wall, and ensuring the long-term stability and safety of the curtain wall structure.

[0054] (2) When the present invention continuously receives the state difference signal, the stress point of the current monitoring cycle is marked as the analysis point after optimization. At the same time, the previous monitoring cycle is traced back and the corresponding stress point is marked as the analysis point before optimization, and the two are ensured to correspond one to one; the deformation characterization value of each pair of analysis points is compared. If the deformation characterization value after optimization is not improved (i.e., the deformation characterization value before optimization is less than or equal to the deformation characterization value after optimization), the optimization of the point is determined to have failed and marked as an optimization failure point; otherwise, the optimization is determined to have succeeded; in order to more accurately adjust the monitoring cycle, the failure characterization ratio mean of all optimization failure points is calculated as the cycle adjustment coefficient, and the coefficient is multiplied by the current monitoring cycle duration to obtain the next monitoring cycle duration. The monitoring frequency is dynamically adjusted according to the optimization effect, the deformation trend of the laser curtain wall is captured more accurately, and the efficiency and accuracy of the optimization process are improved; by introducing the optimization module, the present invention not only realizes high-precision monitoring of the laser curtain wall deformation, but also further improves the safety management level and maintenance efficiency of the curtain wall by intelligently adjusting the monitoring cycle and evaluating the optimization effect, which helps to timely discover and solve potential problems of the curtain wall and ensure its long-term stable operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a flowchart of the present invention;

[0056] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making any creative efforts shall fall within the scope of protection of the present invention.

[0058] Example 1:

[0059] See also Figure 1 、 Figure 2 As shown, the laser curtain wall protection optimization system based on finite element analysis according to the embodiment of the present invention includes:

[0060] Data scanning module: monitors each monitoring point on the surface of the laser curtain wall in real time and obtains the deformation representation value of each monitoring point within the monitoring period;

[0061] In some embodiments, the laser curtain wall is scanned using three-dimensional laser scanning technology, and monitoring points are preset on the surface of the laser curtain wall;

[0062] It should be explained that the establishment of monitoring points needs to meet the requirements of uniformity and comprehensiveness, which means that the monitoring points should be evenly distributed on the surface of the laser curtain wall to ensure that the deformation of the curtain wall can be fully reflected;

[0063] Preset the three-dimensional coordinate origin and establish a three-dimensional coordinate system to obtain the spatial coordinates and spatial angles of each monitoring point;

[0064] It should be explained that the spatial angle of a monitoring point is the azimuth angle of the monitoring point relative to the origin of the three-dimensional coordinate system. By comparing the changes in the spatial angle of the same monitoring point at different time points, it is easy to determine the rotation or tilt of the curtain wall at that point, thereby evaluating its structural stability.

[0065] It is necessary to further explain that the spatial coordinates and spatial angles of the monitoring points within the monitoring period are obtained from the position of the monitoring points at the end of the monitoring period;

[0066] Compare and analyze the spatial coordinates of the monitoring point within the monitoring period with the preset spatial coordinates to obtain the position offset value of the monitoring point, and calculate the ratio of the position offset value to the position offset threshold to obtain the position offset ratio;

[0067] It should be explained that the preset spatial coordinates are the spatial coordinates where the monitoring point should be located on the surface of the laser curtain wall;

[0068] Compare and analyze the spatial angle of the monitoring point within the monitoring period with the preset spatial angle to obtain the angle offset value of the monitoring point, and calculate the ratio of the spatial angle offset value to the angle offset threshold to obtain the angle offset ratio;

[0069] It should be explained that the preset spatial angle is the spatial angle at which the monitoring point should be located on the surface of the laser curtain wall;

[0070] Obtain historical monitoring data of monitoring points on the laser curtain wall surface, including fields such as monitoring point ID, angle offset ratio, position offset ratio, and deformation representation value, and construct a monitoring data sample set;

[0071] 70% of the sample data in the monitoring data sample set is used as the training set, and 30% of the sample data is used as the validation set;

[0072] Build a multi-layer perceptron (MLP) model, input the sample data in the training set into the model for model training, and optimize the model parameters by minimizing the loss function;

[0073] Among them, the multi-layer perceptron (MLP) model includes an input layer (angle offset ratio, position offset ratio), a hidden layer, and an output layer (deformation representation value);

[0074] The trained multi-layer perception neural network model is then verified through the validation set;

[0075] Use the trained model to predict the position offset ratio and angle offset ratio of the current monitoring point to obtain the deformation representation value of the monitoring point in the current period;

[0076] Among them, the sample data of each monitoring point DeformationSet = {(IDi, θi, di, yi) | i = 1, 2, ..., N} is constructed using the monitoring point ID, angle offset ratio, position offset ratio and deformation representation value of each monitoring point, where IDi represents the identifier of the i-th monitoring point, θi represents the angle offset ratio of the i-th monitoring point, di represents the position offset ratio of the i-th monitoring point, yi represents the deformation representation value of the i-th monitoring point, and N is the number of monitoring points.

[0077] In this embodiment, the deformation representation value of each monitoring point can also be obtained by performing weighted summation on the position offset ratio and the angle offset ratio of each monitoring point.

[0078] Point cloud data processing module: Based on the deformation representation value of each monitoring point during the monitoring period, the monitoring points are divided into direct stress points, indirect stress points and unstressed points, and the evaluation coefficient of the laser curtain wall is calculated through finite element analysis technology;

[0079] In some embodiments, a first deformation threshold and a second deformation threshold are preset, and the deformation representation value of each monitoring point is compared and analyzed with the first deformation threshold and the second deformation threshold respectively;

[0080] If the deformation representation value is less than or equal to the first deformation threshold, it means that the deformation of the monitoring point corresponding to the deformation representation value is small, that is, a small deformation signal is generated, and the monitoring point corresponding to the deformation representation value is marked as a non-stressed point;

[0081] If the deformation representation value is greater than the first deformation threshold and the deformation representation value is less than or equal to the second deformation threshold, it means that the deformation of the monitoring point corresponding to the deformation representation value is moderate, that is, a moderate deformation signal is generated, and the monitoring point corresponding to the deformation representation value is marked as an indirect stress receiving point;

[0082] If the deformation representation value is greater than the second deformation threshold, it means that the deformation of the monitoring point corresponding to the deformation representation value is large, that is, a large deformation signal is generated, and the monitoring point corresponding to the deformation representation value is marked as a direct force point;

[0083] Extract the number of direct force points and indirect force points respectively, sum the number of direct force points and the number of indirect force points to obtain the number of overall deformation force points, and then calculate the ratio of the overall deformation force points to the total number of monitoring points to obtain the overall deformation force point ratio;

[0084] It should be explained that the larger the value of the ratio of the number of stress points of overall deformation is, the greater the proportion of indirect stress points or direct stress points is, that is, the more serious the overall deformation of the laser curtain wall is;

[0085] Then extract the deformation representation values of each direct force point, indirect force point and unforced point respectively, and perform weighted summation to obtain the deformation representation ratio of the force point;

[0086] Get the direct force point, record it as Zi, i is the number of direct force points, record the first direct force point as Z1, the second direct force point as Z2, and so on, and record the i-th direct force point as Zi;

[0087] Obtain the deformation representation value of each direct force point, record the deformation representation value of the direct force point as Zyi, record the deformation representation value of the first direct force point as Zy1, record the deformation representation value of the second direct force point as Zy2, and so on, record the deformation representation value of the i-th direct force point as Zyi;

[0088] By formula Obtain the total value of the direct representation of the deformation of the direct force point;

[0089] Obtain the indirect force receiving point, which is recorded as Jk, where k is the number of indirect force receiving points. The first indirect force receiving point is recorded as J1, the second indirect force receiving point is recorded as J2, and so on. The kth indirect force receiving point is recorded as Jk.

[0090] Obtain the deformation representation value of each indirect force receiving point, record the deformation representation value of the indirect force receiving point as Jyk, record the deformation representation value of the first indirect force receiving point as Jy1, record the deformation representation value of the second indirect force receiving point as Jy2, and so on, record the deformation representation value of the kth indirect force receiving point as Jyk;

[0091] By formula Obtain the total value of the indirect representation of the deformation of the indirect stress-receiving point;

[0092] The deformation abnormality value ZJ of the stress point is calculated by the formula ZJ=k*(ZYi+JYk), where k is the preset proportional coefficient;

[0093] The process of obtaining the preset proportional coefficient is as follows:

[0094] There are m groups of historical data, each group of historical data includes the total value ZYi of the direct deformation representation of the direct force point, the total value JYk of the indirect deformation representation of the indirect force point, and the total value ZJ of the deformation representation of the force point;

[0095] A linear model is used to fit m groups of historical data, and the prepared historical data is brought into the selected fitting model for fitting, and the mean of the fitting coefficients is obtained as the preset proportional coefficient.

[0096] Calculate the ratio of the deformation representation abnormal value of the stress point to the deformation representation abnormal threshold of the stress point to obtain the deformation representation ratio of the stress point;

[0097] It should be explained that the threshold value for abnormal deformation characterization of the stress point is set by the staff based on experience;

[0098] Then, the overall deformation force point ratio and the deformation representation ratio of the force point are multiplied to obtain the evaluation coefficient;

[0099] Evaluation module: Based on the evaluation coefficient, it evaluates the working status of the laser curtain wall and generates a status evaluation signal;

[0100] The state evaluation signal includes: a good state signal and a bad state signal;

[0101] In some embodiments, an evaluation coefficient threshold is preset, and the evaluation coefficient is compared and analyzed with the evaluation coefficient threshold;

[0102] If the evaluation coefficient is less than the evaluation coefficient threshold, it means that the overall deformation of the laser curtain wall is small, and the current working state of the laser curtain wall is determined to be excellent, and an excellent state signal is generated;

[0103] If the evaluation coefficient is greater than or equal to the evaluation coefficient threshold, it means that the overall deformation of the laser curtain wall is relatively large, and the working state of the laser curtain wall is judged to be poor, and a state difference signal is generated;

[0104] Early warning monitoring module: used to receive status assessment signals and generate corresponding alarms;

[0105] In some embodiments, when a status difference signal is received, an alarm indicating that the laser curtain wall needs to be adjusted is generated, thereby facilitating real-time adjustment and optimization of the laser curtain wall based on the spatial coordinates and spatial angles of each monitoring point;

[0106] When a good status signal is received, no alarm is generated;

[0107] The technical solution of the embodiment of the present invention mainly includes: using three-dimensional laser scanning technology to deploy monitoring points on the curtain wall surface to ensure comprehensive and uniform coverage. Through continuous monitoring, the spatial coordinates and angular changes of each point within the monitoring period are recorded, and the position and angle offset ratios are calculated to comprehensively obtain the deformation representation value. Based on the deformation representation value, the monitoring points are classified into directly stressed, indirectly stressed, and unstressed points. By weighted statistics of the number of points in each category and the degree of deformation, the overall deformation force point ratio and degree value are calculated, and finally integrated into an evaluation coefficient to provide a basis for curtain wall condition assessment. Based on the preset evaluation threshold, the evaluation coefficient is converted into an intuitive working status signal - excellent or poor - to achieve rapid judgment of curtain wall performance. The status evaluation signal is immediately responded to, and adjustment alarms are issued for "poor" status to guide precise optimization. The "excellent" status remains silent and does not require intervention. The present invention not only achieves high-precision, all-weather monitoring of laser curtain wall deformation, but also provides early warning of potential risks through intelligent analysis, effectively improving the safety management level and maintenance efficiency of the curtain wall, and ensuring the long-term stability and safety of the curtain wall structure.

[0108] Example 2:

[0109] Based on Example 1, please refer to Figure 1 、 Figure 2 As shown, the laser curtain wall protection optimization system based on finite element analysis according to the embodiment of the present invention further includes:

[0110] Optimization module: Based on continuous state difference signals, the historical state of the laser curtain wall is analyzed during the adjustment and optimization process of the laser curtain wall, and the monitoring cycle length is adjusted in real time. By dynamically adjusting the monitoring frequency, the deformation trend of the laser curtain wall and the deformation trend of the laser curtain wall after adjustment and optimization are more accurately captured, thereby improving the efficiency and accuracy of the adjustment and optimization process;

[0111] In some embodiments, based on the continuous state difference signal, the force points (force points include: direct force points and indirect force points) of the current monitoring period are extracted and marked as analysis points after optimization;

[0112] At the same time, look back to the previous monitoring cycle, extract the stress points of the previous monitoring cycle, and mark them as analysis points before optimization;

[0113] It should be explained that the analysis points after optimization and the analysis points before optimization should satisfy one-to-one correspondence. If not, the analysis points before optimization of the previous monitoring cycle and the corresponding monitoring points in the current monitoring cycle are also marked as analysis points after optimization, and the analysis points after optimization of the current monitoring cycle and the corresponding monitoring points in the previous monitoring cycle are also marked as analysis points before optimization.

[0114] Based on any pair of analysis points before optimization and analysis points after optimization, respectively extract the deformation representation values of the analysis points before optimization and the analysis points after optimization to obtain the deformation representation value before optimization and the deformation representation value after optimization;

[0115] Compare and analyze the deformation characterization value before optimization and the deformation characterization value after optimization;

[0116] If the deformation representation value before optimization is less than or equal to the deformation representation value after optimization, it means that the optimization at this monitoring point has failed in the current monitoring period, and a point optimization failure signal is generated, and the corresponding monitoring point is marked as an optimization failure point;

[0117] If the deformation representation value before optimization is greater than the deformation representation value after optimization, it means that the optimization at the monitoring point is successful during the current monitoring period, and a point optimization success signal is generated;

[0118] Based on the optimization failure point, the deformation representation value before optimization is calculated with the deformation representation value after optimization to obtain the failure representation ratio. Then, the failure representation ratios of all optimization failure points are averaged to obtain the period adjustment coefficient.

[0119] Multiply the cycle adjustment coefficient by the current monitoring cycle duration to obtain the next monitoring cycle duration;

[0120] The technical solution of the embodiment of the present invention is mainly as follows: when the state difference signal is continuously received, the force point of the current monitoring period is marked as the analysis point after optimization. At the same time, the previous monitoring period is traced back and the corresponding force point is marked as the analysis point before optimization, and the two are ensured to correspond one to one; the deformation characterization value of each pair of analysis points is compared. If the deformation characterization value after optimization is not improved (that is, the deformation characterization value before optimization is less than or equal to the deformation characterization value after optimization), the point is judged to have failed to be optimized and marked as an optimization failure point; otherwise, the optimization is judged to be successful; in order to adjust the monitoring period more accurately, the calculation The mean failure characterization ratio of all optimization failure points is used as a period adjustment coefficient. This coefficient is multiplied by the current monitoring period duration to obtain the next monitoring period duration. The monitoring frequency is dynamically adjusted according to the optimization effect to more accurately capture the deformation trend of the laser curtain wall and improve the efficiency and accuracy of the optimization process. By introducing an optimization module, the present invention not only achieves high-precision monitoring of the laser curtain wall deformation, but also further improves the safety management level and maintenance efficiency of the curtain wall by intelligently adjusting the monitoring period and evaluating the optimization effect, which helps to timely discover and solve potential problems of the curtain wall and ensure its long-term stable operation.

[0121] The size of the above-mentioned threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technical personnel in this field for each group of sample data. For example, in the actual acquisition process, there are many groups of overall deformation force point ratios and deformation characterization ratios of force points. Many groups of overall deformation force point ratios and deformation characterization ratios of force points are processed to obtain evaluation coefficients of corresponding groups. The staff evaluates the working status of the laser curtain wall based on so many groups of evaluation coefficients, thereby obtaining a corresponding relationship between an evaluation coefficient and the working status of the laser curtain wall. The threshold of the evaluation coefficient is then derived and divided according to the working status of the laser curtain wall, thereby obtaining a first evaluation threshold and a second evaluation threshold of the evaluation coefficient threshold. The obtained evaluation coefficient is compared with the first evaluation threshold and the second evaluation threshold, that is, the identification of the working status of the laser curtain wall corresponding to the evaluation coefficient is completed.

[0122] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. The laser curtain wall protection optimization system based on finite element analysis is characterized by: include: Data scanning module: monitors each monitoring point on the surface of the laser curtain wall in real time, and obtains the deformation representation value caused by angle offset and position offset of each monitoring point during the monitoring period; Point cloud data processing module: Based on the deformation characterization value of each monitoring point during the monitoring period, the monitoring points are divided into direct force points, indirect force points, and non-force points according to the degree of deformation. Force points include: direct force points and indirect force points. The evaluation coefficient of the laser curtain wall is obtained based on the data of the force points in the monitoring points. Evaluation module: Based on the evaluation coefficient, if the evaluation coefficient is less than the evaluation coefficient threshold, the working state of the laser curtain wall is considered to be excellent and a good state signal is generated; otherwise, the working state of the laser curtain wall is considered to be poor and a poor state signal is generated; Early warning monitoring module: used to receive status assessment signals and generate corresponding alarms; Optimization module: Based on the continuous state difference signal, during the adjustment and optimization process of the laser curtain wall, the historical state of the stress points in the laser curtain wall is analyzed, and the monitoring cycle length is adjusted in real time.

2. The laser curtain wall protection optimization system based on finite element analysis according to claim 1 is characterized in that: The process of obtaining the deformation representation value is as follows: Preset monitoring points on the surface of the laser curtain wall to scan the laser curtain wall; At the same time, the position offset ratio and angle offset ratio of each monitoring point are obtained; A multi-layer perceptron model is constructed, and the position offset ratio and angle offset ratio of the current monitoring point are input into the multi-layer perceptron model to obtain the deformation representation value of the monitoring point in the current period.

3. The laser curtain wall protection optimization system based on finite element analysis according to claim 1 is characterized in that: The process of obtaining the position offset ratio is: Preset the three-dimensional coordinate origin and establish a three-dimensional coordinate system to obtain the spatial coordinates of each monitoring point; The spatial coordinates of the monitoring point within the monitoring period are compared and analyzed with the preset spatial coordinates to obtain the position offset value of the monitoring point, and the position offset value is ratio-calculated with the preset position offset value threshold to obtain the position offset ratio.

4. The laser curtain wall protection optimization system based on finite element analysis according to claim 1 is characterized in that: The process of obtaining the angle offset ratio is: Get the spatial angle of each monitoring point; The spatial angle of the monitoring point within the monitoring period is compared and analyzed with the preset spatial angle to obtain the angle offset value of the monitoring point, and the angle offset value is compared with the preset angle offset threshold to obtain the angle offset ratio.

5. The laser curtain wall protection optimization system based on finite element analysis according to claim 1 is characterized in that: The process of dividing the monitoring points into directly stressed points, indirectly stressed points and unstressed points is as follows: Preset a first deformation threshold and a second deformation threshold, and compare and analyze the deformation representation value of each monitoring point with the first deformation threshold and the second deformation threshold respectively; If the deformation representation value is less than or equal to the first deformation threshold, the monitoring point corresponding to the deformation representation value is marked as a non-stressed point; If the deformation representation value is greater than the first deformation threshold and less than or equal to the second deformation threshold, the monitoring point corresponding to the deformation representation value is marked as an indirect stress receiving point; If the deformation characterization value is greater than the second deformation threshold, the monitoring point corresponding to the deformation characterization value is marked as a direct force point.

6. The laser curtain wall protection optimization system based on finite element analysis according to claim 1 is characterized in that: The process of obtaining the evaluation coefficient is: Based on the ratio of direct stress points to indirect stress points to the total monitoring points, the ratio of the number of stress points of the overall deformation is obtained; Based on the deformation representation values of the direct force-bearing point and the indirect force-bearing point, the deformation representation abnormality value of the force-bearing point is obtained, and based on the deformation representation abnormality value of the force-bearing point, the deformation representation ratio of the force-bearing point is obtained; Then, the ratio of the number of stress points of the overall deformation is multiplied by the deformation representation ratio of the stress points to obtain the evaluation coefficient.

7. The laser curtain wall protection optimization system based on finite element analysis according to claim 6 is characterized in that: The process of obtaining the deformation representation ratio of the force point is as follows: Obtain the direct force point, record the i-th direct force point as Zi, and record the deformation representation value of the i-th direct force point as Zyi; By formula The total value of the direct deformation representation of the direct force points is obtained; I is the total number of direct force points; Obtain the indirect force receiving point, record the kth indirect force receiving point as Jk, and record the deformation representation value of the kth indirect force receiving point as Jyk; By formula Obtain the total value of the indirect representation of the deformation of the indirect stress-receiving point; The deformation abnormality value ZJ of the force point is calculated by the formula ZJ=W*(ZYi+JYk), where W is the preset proportional coefficient; The deformation representation ratio of the stress point is obtained by calculating the ratio of the deformation representation abnormal value of the stress point to the deformation representation abnormal threshold of the stress point.

8. The laser curtain wall protection optimization system based on finite element analysis according to claim 1 is characterized in that: The process of real-time control of the monitoring cycle length is as follows: Based on the continuous state difference signal, the stress points of the current monitoring period are extracted and marked as the analysis points after optimization; Extract the stress points of the previous monitoring cycle and mark them as analysis points before optimization; Based on any pair of analysis points before optimization and analysis points after optimization, respectively extract the deformation representation values of the analysis points before optimization and the analysis points after optimization to obtain the deformation representation value before optimization and the deformation representation value after optimization; Compare and analyze the deformation characterization value before optimization and the deformation characterization value after optimization; If the deformation representation value before optimization is less than or equal to the deformation representation value after optimization, a point optimization failure signal is generated and the corresponding monitoring point is marked as an optimization failure point; If the deformation representation value before optimization is greater than the deformation representation value after optimization, a point optimization success signal is generated; Based on the optimization failure point, the deformation representation value before optimization is calculated with the deformation representation value after optimization to obtain the failure representation ratio. Then, the failure representation ratios of all optimization failure points are averaged to obtain the period adjustment coefficient. The period adjustment coefficient is multiplied by the current monitoring period duration to obtain the next monitoring period duration.

9. The method of using the laser curtain wall protection optimization system based on finite element analysis according to claim 1 is characterized in that: The specific steps include: Step 1: Preset monitoring points on the surface of the laser curtain wall; these monitoring points are evenly distributed on the surface of the laser curtain wall; obtain the deformation characterization value caused by angle offset and position offset of each monitoring point during the monitoring period; Step 2: Obtain the evaluation coefficient of the laser curtain wall based on the data of the stress points in the monitoring points; Step 3: Based on the evaluation coefficient, if the evaluation coefficient is less than the evaluation coefficient threshold, the working state of the laser curtain wall is determined to be excellent, and an excellent state signal is generated; otherwise, the working state of the laser curtain wall is determined to be poor, and a poor state signal is generated; Step 4: Based on the continuous state difference signal, during the laser curtain wall adjustment and optimization process, the historical state of the stress points in the laser curtain wall is analyzed, and the monitoring cycle length is adjusted in real time.

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