A door and window installation position calibration method and system based on multi-sensor

Abstract

The present invention discloses a method and system for calibrating the installation position of doors and windows based on multiple sensors, and relates to the technical field of door and window installation position calibration. The method comprises: data acquisition: dividing the temperature and humidity into at least two levels, respectively, obtaining at least two temperature range sets and two humidity range sets, and obtaining deformation data of fillers under different temperature range sets and humidity range sets, obtaining a first deformation data set and a second deformation data set; data calibration: obtaining comprehensive deformation data of fillers based on the first deformation data set and the second deformation data set, obtaining a comprehensive deformation set. The present invention optimizes and adjusts the placement of doors and windows in the installation position by obtaining temperature and humidity data, and obtaining deformation conditions that may occur for different types of fillers under different temperature and humidity levels, so that the stress conditions of the door frame remain the same, thereby completing the calibration effect of the installation position, installation depth, and installation angle of the doors and windows.

Description

Technical Field

[0001] The present invention relates to the technical field of door and window installation position calibration, and in particular to a door and window installation position calibration method and system based on multiple sensors. Background Art

[0002] Door and window installation is an important home improvement task. Correct installation can improve the service life, energy efficiency and safety of doors and windows. Calibration is required during door and window installation. Calibration is an important step to ensure the correct installation of doors and windows, which can ensure horizontality and verticality. Use a spirit level to check the horizontality and verticality of doors and windows. If the doors and windows are not horizontal or vertical, it will affect their use effect, which may easily lead to unsmooth opening and closing or poor sealing. In addition, during the installation process, it is necessary to check and adjust the gap between the doors and windows and the wall to ensure that the gap is uniform for subsequent filling and sealing. Through correct calibration, it can prevent the doors and windows from being deformed due to uneven force during use, affecting their service life and effect. The calibrated doors and windows can fit the wall more closely, reduce the infiltration of air and water, and thus improve energy efficiency. The calibration of doors and windows is a very important step. Ensuring correct installation can improve the performance and life of doors and windows. If you are unsure about the operation, you can consider asking a professional to install and calibrate it. During the door and window installation and calibration process, commonly used instruments and methods mainly include spirit levels, plumb lines, laser levels, tape measures and angle squares, etc., which are used to check the levelness of doors and windows to ensure that they will not tilt during installation. In addition, it is necessary to check the verticality of doors and windows to ensure that the sides are vertical to prevent tilting. Laser levels provide more accurate level and flatness measurements and are suitable for large doors and windows and complex environments.

[0003] Patent publication number CN 117145349 A discloses a method for installing door and window auxiliary frames and door and window products. By fixing a universal door and window auxiliary frame in a wall hole and then installing the door and window products on the auxiliary frame according to user requirements, the installation steps are simplified, the applicability of door and window product installation is improved, and the problem of the laborious and time-consuming process of directly embedding the door and window frames into the wall is solved. By providing a plug-in board and a plug-in board slot, the connection between the plug-in board and the plug-in board slot is utilized to realize the connection between the side frame and the top frame, thereby forming the door and window auxiliary frame, replacing the existing method of connecting adjacent side frames by welding, making the combined installation of the door and window auxiliary frames more convenient, reducing the difficulty of door and window installation, reducing the time required for door and window installation, and improving the installation speed of doors and windows.

[0004] When the above-mentioned and similar technical solutions are used to install doors and windows and perform subsequent calibration work, after the doors and windows are installed, filling objects need to be poured into the gaps to prevent air and moisture from penetrating and to better fix the doors and windows. Under different temperature and humidity conditions, the expansion and contraction of the fillers are different. In hot weather, the fillers will expand, while in lower temperature weather, the proportion of the filler expansion will decrease accordingly. At this time, after the doors and windows are installed, when the weather changes, the fluctuations in temperature and humidity may act together on the filling materials, causing the materials to exhibit different expansion and contraction characteristics under different environmental conditions, resulting in different deformations, squeezing the doors and windows and causing them to deform. Due to different environments, such as different temperatures and humidity, the doors and windows themselves will also have different deformations. At this time, the interaction with the deformed fillers will cause the doors and windows to have greater deformations, affecting the subsequent use of the doors and windows after installation. Summary of the Invention

[0005] The object of the present invention is to provide a method and system for calibrating the installation position of doors and windows based on multiple sensors, so as to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a multi-sensor based door and window installation position calibration method and system, comprising:

[0007] Data acquisition: dividing the temperature and humidity into at least two levels, respectively, to obtain at least two temperature range sets and two humidity range sets, respectively, and obtaining deformation data of the filler under different temperature range sets and humidity range sets to obtain a first deformation data set and a second deformation data set;

[0008] Data calibration: Based on the first deformation data set and the second deformation data set, the comprehensive deformation data of the filling object is obtained to obtain a comprehensive deformation set, the real-time temperature and humidity are obtained, and the deformation data of the current filling object is determined according to the comprehensive deformation set to obtain a real-time deformation item;

[0009] Installation position matching: Obtain installation position data and target door and window data, obtain installation position items and installation requirement items respectively, and calibrate the installation position of the target doors and windows based on real-time deformation items;

[0010] Calibration optimization: Based on the temperature range set and humidity range set, the deformation data of the target doors and windows are obtained to obtain the self-deformation data set. Based on the self-deformation data set and the comprehensive deformation set, the installation position of the target doors and windows is optimized and calibrated through the optimization method;

[0011] The method for calibrating the installation position of the target door and window includes:

[0012] Step 1: Obtain installation requirements. Based on the installation location item, obtain the size of the installation location. Based on the installation requirement item, obtain the size of the target doors and windows.

[0013] Step 2: Deformation effect matching: obtaining the expected deformation effect of the filler based on the real-time deformation term to obtain the expected deformation term;

[0014] Step 3: Stress analysis: Based on the expected deformation item, installation position item, and installation requirement item, the stress condition of the target doors and windows is analyzed to obtain the first target door and window stress item;

[0015] Step 4: Adjust the installation position. Based on the first target door and window force item, change the installation position of the target door and window, thereby achieving installation position calibration of the target door and window.

[0016] Furthermore, the optimization method includes:

[0017] S1: Deformation data combination: Based on its own deformation data set, the deformation data of the target door and window under the current temperature and humidity level is obtained to obtain its own deformation data item. The self-deformation data item and the real-time deformation item are combined to obtain a combined deformation item.

[0018] S2: Target door and window stress analysis: Based on the deformation term, installation position term, and installation requirement term, the stress condition of the target door and window is analyzed to obtain the second target door and window stress term.

[0019] S3: Force dispersion. Based on the second target door and window force item, the installation position of the target door and window is adjusted to make the force conditions around the target door and window consistent, thereby achieving optimized calibration of the installation position of the target door and window.

[0020] Furthermore, the optimization method further includes:

[0021] S4: Target door and window hardness analysis, obtaining the hardness distribution data of the target doors and windows, and obtaining the hardness distribution item;

[0022] S5: Classification: Classify the stress item of the second target door and window and the hardness distribution data of the target door and window into at least two levels, and obtain a stress level and a hardness level;

[0023] S6: Change of installation position: optimize and calibrate the installation position of target doors and windows based on the force level and hardness level.

[0024] Furthermore, the installation location item includes the installation location area, the installation requirement item includes the target door and window area, and the method for obtaining the size of the installation location and the size of the target door and window includes:

[0025] N1: Camera distribution: Place at least two cameras facing the installation location and target doors and windows.

[0026] N2: Image acquisition: Based on the image capture method, the surface images of the installation location and the target doors and windows are obtained respectively;

[0027] N3: Area acquisition. Based on the installation position and the surface image of the target door and window, at least four first feature points are set, which are located at the installation position and the vertex position of the target door and window surface image respectively. The installation position and the surface area of ​​the target door and window are obtained through the distance between the first feature points, and then the installation position item and the installation requirement item are obtained.

[0028] Furthermore, the installation location item further includes the installation location depth, the installation requirement item further includes the target door and window thickness, and the method for obtaining the size of the installation location and the target door and window size further includes:

[0029] N4: Setting the second feature points: setting at least four sets of second feature points on the installation location and the target door or window, respectively, located at the installation location and the midpoint of the edge line of the target door or window;

[0030] N5: Instrument placement: Based on the position information of the second feature point, detection instruments are set at the positions of the second feature points to obtain multiple sets of installation position and target door and window thickness data, thereby obtaining the installation position thickness set and the target door and window thickness set;

[0031] N6: Information acquisition: Based on the installation location thickness set and the target door and window thickness set, obtain the average thickness information of the installation location and the target door and window respectively, obtain the installation location depth and the target door and window thickness, and obtain the installation location item and installation requirement item based on the installation location and the target door and window surface area.

[0032] Furthermore, the temperature and humidity classification method includes:

[0033] Z1: Range threshold setting, set the range thresholds of temperature and humidity to obtain at least two temperature range thresholds and humidity range thresholds;

[0034] Z2: Classification: classify the temperature and humidity based on the temperature range threshold and humidity range threshold respectively.

[0035] Furthermore, the temperature and humidity classification method includes:

[0036] X1: Deformation acquisition: Set the target temperature range and target humidity range, and obtain the deformation data of the filling within the target temperature range and target humidity range to obtain the temperature deformation set and humidity deformation set respectively;

[0037] X2: Deformation classification: set the change threshold, and match the deformation of the filler with the change threshold based on the temperature deformation set and the humidity deformation set, so as to classify the deformation of the filler into different levels, and then realize the classification of temperature and humidity.

[0038] Furthermore, the method for obtaining the comprehensive deformation set includes: deformation data combination, based on the first deformation data set and the second deformation data set, combining the deformation data of the filler under different temperature and humidity levels to obtain at least four deformation data combinations, and then obtaining a comprehensive deformation set.

[0039] Furthermore, a multi-sensor based door and window installation position calibration system uses any one of the multi-sensor based door and window installation position calibration methods described above.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] The multi-sensor-based door and window installation position calibration method and system obtains temperature and humidity data, divides the temperature and humidity into at least two levels, and obtains the deformation of different types of fillers under different temperature and humidity levels. Based on multiple sensors, the overall area of ​​the door and window and the area of ​​the installation location, as well as the thickness of the door and window and the overall thickness of the installation location are obtained respectively. The placement of the door and window in the installation location is optimized and adjusted so that the stress conditions of the door frame remain the same, thereby completing the calibration effect of the door and window installation position, installation depth, and installation angle.

[0042] At the same time, by obtaining the data of the installation position and the data of the target doors and windows, and by obtaining the self-deformation data of the target doors and windows in three temperature range sets and three humidity range sets, the installation position of the doors and windows is comprehensively optimized and calibrated based on the predicted deformation data of the foamed polyurethane and the self-deformation data of the target doors and windows. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A schematic diagram of the relationship between data acquisition and calibration installation optimization of the present invention;

[0044] Figure 2 A schematic diagram of a method for calibrating the installation position of target doors and windows according to the present invention;

[0045] Figure 3 This is a schematic diagram of a method for obtaining the size of an installation position according to the present invention;

[0046] Figure 4 Schematic diagram of the method for obtaining target door and window sizes of the present invention;

[0047] Figure 5This is a schematic structural diagram of the method for obtaining the thickness at the installation position of the present invention;

[0048] Figure 6 This is a schematic structural diagram of a method for obtaining target door and window thickness according to the present invention;

[0049] Figure 7 This is a schematic diagram of the structure of equal pressure installation positions around the target doors and windows of the present invention;

[0050] Figure 8 This is a schematic diagram of the top pressure-bearing installation position structure of the target doors and windows of the present invention. DETAILED DESCRIPTION

[0051] 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 creative efforts are within the scope of protection of the present invention.

[0052] When the weather is hot or humid, after the doors and windows are installed and the gaps are filled with fillers, the fillers will expand to varying degrees due to the influence of temperature and humidity, and cause a certain amount of pressure around the installed doors and windows. When the installation position of the doors and windows is accurate, the pressure will not affect the doors and windows, but will improve the stability of the doors and windows. When the installation position of the doors and windows is offset, the expansion of the fillers will cause uneven pressure distribution around the doors and windows, thereby affecting subsequent use. Therefore, it is necessary to calibrate the installation position of the doors and windows during installation. The technical solution provided by this application obtains temperature and humidity data and divides the temperature and humidity into The system has at least two levels, and obtains the deformation of different types of fillers at different temperatures and humidity levels, and obtains the overall area size of doors and windows and the area size of the installation position, as well as the thickness of doors and windows and the overall thickness of the installation position based on multiple sensors, and optimizes and adjusts the placement of doors and windows in the installation position so that the stress conditions of the door frame remain the same, thereby completing the calibration effect of the installation position, installation depth, and installation angle of doors and windows, and obtains the self-deformation of doors and windows of different materials at different temperatures and humidity levels, and combines the deformation of fillers at the same temperature and humidity level to comprehensively optimize and adjust the placement of doors and windows in the installation position.

[0053] like Figures 1-8As shown, the present invention provides a technical solution: a door and window installation position calibration method based on multiple sensors, comprising: data acquisition: dividing the temperature and humidity into at least two levels, respectively, obtaining at least two temperature range sets and two humidity range sets, and obtaining the deformation data of the filler under different temperature range sets and humidity range sets, obtaining a first deformation data set and a second deformation data set; data calibration: obtaining the comprehensive deformation data of the filler based on the first deformation data set and the second deformation data set, obtaining a comprehensive deformation set, obtaining real-time temperature and humidity, and judging the deformation data of the current filler according to the comprehensive deformation set, obtaining a real-time deformation item; installation position matching: obtaining installation position data and target door and window data, obtaining an installation position item and an installation requirement item, respectively, and realizing installation position calibration of the target door and window based on the real-time deformation item; calibration optimization: obtaining the installation position data based on the temperature range set and humidity range set, obtain the deformation data of the target doors and windows, obtain the own deformation data set, and based on the own deformation data set and the comprehensive deformation set, optimize and calibrate the installation position of the target doors and windows through the optimization method; the method for calibrating the installation position of the target doors and windows includes: step 1: installation requirement acquisition, based on the installation position item, obtain the size of the installation position, based on the installation requirement item, obtain the size of the target doors and windows; step 2: deformation effect matching, based on the real-time deformation item, obtain the expected deformation effect of the filler, and obtain the expected deformation item; step 3: force condition analysis, based on the expected deformation item and the installation position item and the installation requirement item, analyze the force condition of the target doors and windows, and obtain the first target doors and windows force item; step 4: installation position adjustment, based on the first target doors and windows force item, change the installation position of the target doors and windows, and then realize the installation position calibration of the target doors and windows.

[0054] It should be noted that after the doors and windows are installed, fillers need to be poured into the gaps. The fillers can be foamed polyurethane. Under the influence of different temperatures and humidities, the expansion degree of the foamed polyurethane will be affected. When the temperature is high, the reaction speed of the foamed polyurethane will accelerate and the expansion degree will increase, while at low temperatures, the reaction speed of the foamed polyurethane will slow down and the expansion degree will decrease. Humidity will also affect the expansion of the foamed polyurethane, especially during the reaction process. Water can participate in the reaction. In a high humidity environment, more water will participate in the reaction, thereby increasing the expansion amount, while a low humidity environment will reduce this reaction, resulting in a decrease in the expansion degree of the foamed polyurethane. The temperature and humidity are divided into three levels respectively, and at least three temperature range sets and three humidity range sets are obtained. At this time, the expansion degree of the foamed polyurethane in these three temperature range sets and three humidity range sets is obtained to obtain the first deformation data set and the second deformation data set.

[0055] It should be noted that the temperature range sets are set to 15-20 degrees, 20-25 degrees, and 25-30 degrees, respectively. In these three ranges, the expansion of foamed polyurethane is two times, four times, and six times, respectively; the humidity range sets are set to 0%-40%, 41%-60%, and 61%-100%, respectively. In these three ranges, the expansion of foamed polyurethane is two times, four times, and six times, respectively.

[0056] It should be noted that the temperature and humidity are combined to obtain the comprehensive deformation data of the foamed polyurethane. By obtaining the real-time temperature and humidity when the doors and windows are installed, the deformation data of the foamed polyurethane is predicted based on the comprehensive deformation data of the foamed polyurethane. By obtaining the data of the installation position and the data of the target doors and windows, the installation position of the target doors and windows is calibrated.

[0057] It should be noted that when obtaining the data of the installation position and the data of the target doors and windows, the installation position of the doors and windows is comprehensively optimized and calibrated by obtaining the self-deformation data of the target doors and windows in three temperature range sets and three humidity range sets, based on the predicted deformation data of the foamed polyurethane and the self-deformation data of the target doors and windows.

[0058] like Figure 7 As shown, the optimization method includes: S1: deformation data combination, based on the own deformation data set, obtaining the deformation data of the target doors and windows based on the current temperature and humidity level, obtaining the own deformation data item, combining the own deformation data item and the real-time deformation item to obtain the combined deformation item; S2: target door and window force analysis, based on the combined deformation item and the installation position item and the installation requirement item, analyzing the force conditions of the target doors and windows, and obtaining the second target door and window force item; S3: force dispersion, based on the second target door and window force item, by adjusting the installation position of the target doors and windows to make the force conditions around the target doors and windows consistent, thereby realizing the optimization and calibration of the installation position of the target doors and windows.

[0059] It should be noted that the material of the doors and windows is set to aluminum alloy. Aluminum alloy will undergo thermal expansion and contraction when the temperature changes. When the temperature rises, the aluminum alloy will expand, and when the temperature drops, the aluminum alloy will contract. Under the influence of different humidity, although the direct effect of humidity on aluminum alloy is not as significant as temperature, if the aluminum alloy surface is corroded or oxidized in a high humidity environment for a long time, the strength of the material will decrease, thereby affecting its deformation characteristics. Therefore, the self-deformation data of the aluminum alloy in three temperature ranges and three humidity ranges are first obtained. In the three ranges of temperature and humidity, the self-deformation of the aluminum alloy is 0. According to the real-time temperature and humidity, the deformation data of the target doors and windows are obtained. According to the predicted deformation data of the foamed polyurethane, the obtained installation position data and the data of the target doors and windows, the stress conditions of the target doors and windows are analyzed to make the stress conditions around the doors and windows consistent, and then the installation positions of the doors and windows are optimized and calibrated according to the stress conditions.

[0060] like Figure 8 As shown, the optimization method also includes: S4: target door and window hardness analysis, obtaining the hardness distribution data of the target doors and windows, and obtaining the hardness distribution items; S5: level division, dividing the second target door and window force items and the hardness distribution data of the target doors and windows into at least two levels each, and obtaining the force level and hardness level; S6: installation position change, optimizing and calibrating the installation position of the target doors and windows based on the force level and hardness level.

[0061] It should be noted that when installing the target doors and windows, since some parts of the doors and windows are harder, for example, the short sides of the doors and windows are harder than the long sides, the hardness of the target doors and windows is divided into three levels, namely high, medium and low. The division standard is determined according to the length of the target doors and windows. The shortest side of the doors and windows is set to high, the medium-length side is set to medium, and the longest side is set to low. The force applied to the target doors and windows is also divided into three levels, namely high pressure, medium and low pressure. The division standard is determined according to the size of the force, and the pressure size is divided into three ranges, corresponding to high pressure, medium and low pressure respectively. The installation position of the doors and windows is adjusted according to the three-level division so that the position with higher hardness can withstand greater force.

[0062] like Figure 3-Figure 4As shown, the installation position item includes the installation position area, the installation requirement item includes the target door and window area, and the method for obtaining the size of the installation position and the target door and window includes: N1: camera distribution, placing at least two groups of cameras facing the installation position and the target door and window; N2: image acquisition, based on the image shooting acquisition method, obtaining the surface images of the installation position and the target door and window respectively; N3: area acquisition, based on the surface images of the installation position and the target door and window, setting at least four first feature points respectively, which are located at the vertex positions of the installation position and the target door and window surface images respectively, and obtaining the installation position and the target door and window surface area through the distance between the first feature points, and then obtaining the installation position item and the installation requirement item.

[0063] It should be noted that the surface image of the installation position and the surface image of the target door and window are obtained by scanning, and the first feature points are set at the vertex positions on the surface images of the installation position and the target door and window, and the distance of the first feature points is used to obtain the surface area of ​​the installation position and the target door and window.

[0064] like Figure 5-Figure 6 As shown, the installation position item also includes the installation position depth, the installation requirement item also includes the target door and window thickness, and the method for obtaining the size of the installation position and the target door and window size also includes: N4: second feature point setting, at least four groups of second feature points are set on the installation position and the target door and window, respectively located at the midpoint of the ridge of the installation position and the target door and window; N5: instrument placement, based on the position information of the second feature point, detection instruments are set at the position of the second feature point, and multiple groups of installation position and target door and window thickness data are obtained respectively, and the installation position thickness set and the target door and window thickness set are obtained; N6: information acquisition, based on the installation position thickness set and the target door and window thickness set, the average thickness information of the installation position and the target door and window are obtained respectively, and the installation position depth and the target door and window thickness are obtained, and the installation position item and installation requirement item are obtained based on the installation position and the target door and window surface area.

[0065] It should be noted that the installation position and the midpoint of the ridge on the target doors and windows are set as the second feature points respectively, and the detection instrument is set with the second feature point as the detection point to obtain the thickness data of the installation position and the target doors and windows, and the installation position of the target doors and windows is optimized and calibrated according to the installation position and the thickness of the target doors and windows.

[0066] The method for classifying temperature and humidity includes: Z1: range threshold setting, setting the range thresholds of temperature and humidity to obtain at least two temperature range thresholds and humidity range thresholds; Z2: classifying, classifying the temperature and humidity based on the temperature range threshold and the humidity range threshold.

[0067] The temperature and humidity grading method includes: X1: deformation acquisition, setting the target temperature range and the target humidity range, and obtaining the deformation data of the filler within the target temperature range and the target humidity range, and obtaining the temperature deformation set and the humidity deformation set respectively; X2: deformation condition division, setting the change threshold, and based on the temperature deformation set and the humidity deformation set, matching the deformation condition of the filler with the change threshold, thereby dividing the deformation condition of the filler into levels, and then realizing the grading of temperature and humidity.

[0068] The method for obtaining the comprehensive deformation set includes: deformation data combination, based on the first deformation data set and the second deformation data set, combining the deformation data of the filler under different temperature and humidity levels to obtain at least four deformation data combinations, and then obtaining the comprehensive deformation set.

[0069] A multi-sensor based door and window installation position calibration system uses any one of the above multi-sensor based door and window installation position calibration methods.

[0070] Example 1

[0071] Now it is necessary to install doors and windows for a certain household. The door and window frames are made of aluminum alloy. After the doors and windows are installed, foam polyurethane needs to be poured into the gaps. The current real-time temperature is measured to be 28 degrees and the real-time humidity is 35%. At this time, the first deformation data is six times, the second deformation data is two times, and the real-time deformation of the foam polyurethane is 12 times. 10ml of foam polyurethane liquid can expand to 120 cubic centimeters of foam polyurethane solid. The surface image of the installation position and the surface image of the target doors and windows are obtained by sensor scanning. The first feature point is set at the vertex position on the surface image of the installation position and the target doors and windows. The vertical distance of the first feature point on the surface image of the installation position is 200mm, and the left and right distance of the first feature point is 90mm. The vertical distance of the first feature point on the surface image of the target doors and windows is 195mm, and the left and right distance of the first feature point is 85mm. According to the size of the installation position and the size of the target doors and windows, the second feature point is set at the midpoint of the ridge line on the surface image of the installation position and the target doors and windows, and the detection instrument is set with the second feature point as the detection point. The thickness of the installation position is 10mm, and the thickness of the target doors and windows is 8mm. There are instructions or marks on the target doors and windows. The top hardness is higher than the bottom hardness, and the hardness at both ends is the lowest. Therefore, the top of the target doors and windows is high hardness, the bottom is medium hardness, and the two ends are low hardness. At this time, the target doors and windows are set in the middle and upper position of the installation position, and the depth is in the middle position, so that the left and right spacing of the target doors and windows are consistent, and the top spacing is smaller than the bottom spacing. When pouring foamed polyurethane, the pressure of the expanded foamed polyurethane on both ends of the target doors and windows will remain consistent, and the pressure at the top of the target doors and windows will be greater than the pressure at the bottom, thereby realizing the calibration of the installation position of the target doors and windows.

[0072] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is limited by the accompanying embodiments and their equivalents.

Claims

1. A door and window installation position calibration method based on multiple sensors, characterized in that: include: Data acquisition: dividing the temperature and humidity into at least two levels, respectively, to obtain at least two temperature range sets and two humidity range sets, respectively, and obtaining deformation data of the filler under different temperature range sets and humidity range sets to obtain a first deformation data set and a second deformation data set; Data calibration: Based on the first deformation data set and the second deformation data set, the comprehensive deformation data of the filling object is obtained to obtain a comprehensive deformation set, the real-time temperature and humidity are obtained, and the deformation data of the current filling object is determined according to the comprehensive deformation set to obtain a real-time deformation item; Installation position matching: Obtain installation position data and target door and window data, obtain installation position items and installation requirement items respectively, and calibrate the installation position of the target doors and windows based on real-time deformation items; Calibration optimization: Based on the temperature range set and humidity range set, the deformation data of the target doors and windows are obtained to obtain the self-deformation data set. Based on the self-deformation data set and the comprehensive deformation set, the installation position of the target doors and windows is optimized and calibrated through the optimization method; The method for calibrating the installation position of the target door and window includes: Step 1: Obtain installation requirements. Based on the installation location item, obtain the size of the installation location. Based on the installation requirement item, obtain the size of the target doors and windows. Step 2: Deformation effect matching: obtaining the expected deformation effect of the filler based on the real-time deformation term to obtain the expected deformation term; Step 3: Stress analysis: Based on the expected deformation item, installation position item, and installation requirement item, the stress condition of the target doors and windows is analyzed to obtain the first target door and window stress item; Step 4: Adjust the installation position, based on the first target door and window force item, change the installation position of the target door and window, and thus achieve the installation position calibration of the target door and window; The optimization method comprises: S1: Deformation data combination: Based on its own deformation data set, the deformation data of the target door and window under the current temperature and humidity level is obtained to obtain its own deformation data item. The self-deformation data item and the real-time deformation item are combined to obtain a combined deformation item. S2: Target door and window stress analysis: Based on the deformation term, installation position term, and installation requirement term, the stress condition of the target door and window is analyzed to obtain the second target door and window stress term. S3: Force dispersion: Based on the force item of the second target door and window, the installation position of the target door and window is adjusted to make the force conditions around the target door and window consistent, thereby achieving optimized calibration of the installation position of the target door and window; The optimization method further comprises: S4: Target door and window hardness analysis, obtaining the hardness distribution data of the target doors and windows, and obtaining the hardness distribution item; S5: Classification: Classify the stress item of the second target door and window and the hardness distribution data of the target door and window into at least two levels, and obtain a stress level and a hardness level; S6: Installation position change: optimize and calibrate the installation position of target doors and windows based on the force level and hardness level; The installation location item includes the installation location area, and the installation requirement item includes the target door and window area. The method for obtaining the size of the installation location and the size of the target doors and windows includes: N1: Camera distribution: Place at least two cameras facing the installation location and target doors and windows. N2: Image acquisition: Based on the image capture method, the surface images of the installation location and the target doors and windows are obtained respectively; N3: Area acquisition. Based on the installation position and the surface image of the target door and window, at least four first feature points are set, which are located at the installation position and the vertex position of the target door and window surface image respectively. The installation position and the surface area of ​​the target door and window are obtained through the distance between the first feature points, and then the installation position item and the installation requirement item are obtained.

2. The multi-sensor door and window installation position calibration method according to claim 1, characterized in that: The installation location item also includes the installation location depth, the installation requirement item also includes the target door and window thickness, and the method for obtaining the size of the installation location and the target door and window size also includes: N4: Setting the second feature points: setting at least four sets of second feature points on the installation location and the target door or window, respectively, located at the installation location and the midpoint of the edge line of the target door or window; N5: Instrument placement: Based on the position information of the second feature point, detection instruments are set at the positions of the second feature points to obtain multiple sets of installation position and target door and window thickness data, thereby obtaining the installation position thickness set and the target door and window thickness set; N6: Information acquisition: Based on the installation location thickness set and the target door and window thickness set, obtain the average thickness information of the installation location and the target door and window respectively, obtain the installation location depth and the target door and window thickness, and obtain the installation location item and installation requirement item based on the installation location and the target door and window surface area.

3. The multi-sensor door and window installation position calibration method according to claim 1, characterized in that: The temperature and humidity classification method includes: Z1: Range threshold setting, set the range thresholds of temperature and humidity to obtain at least two temperature range thresholds and humidity range thresholds; Z2: Classification: classify the temperature and humidity based on the temperature range threshold and humidity range threshold respectively.

4. The method for calibrating the installation position of doors and windows based on multiple sensors according to claim 1, characterized in that: The temperature and humidity classification method includes: X1: Deformation acquisition: Set the target temperature range and target humidity range, and obtain the deformation data of the filling within the target temperature range and target humidity range to obtain the temperature deformation set and humidity deformation set respectively; X2: Deformation classification: set the change threshold, and match the deformation of the filler with the change threshold based on the temperature deformation set and the humidity deformation set, so as to classify the deformation of the filler into different levels, and then realize the classification of temperature and humidity.

5. The method for calibrating door and window installation positions based on multiple sensors according to claim 1, characterized in that: The method for obtaining the comprehensive deformation set includes: deformation data combination, based on the first deformation data set and the second deformation data set, combining the deformation data of the filler under different temperature and humidity levels to obtain at least four deformation data combinations, and then obtaining the comprehensive deformation set.

6. A multi-sensor based door and window installation position calibration system, characterized by: A multi-sensor-based door and window installation position calibration method according to any one of claims 1 to 5 is used.

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