Method and device for automatically adjusting levelness of wall surface

Abstract

The invention discloses a method and device for automatically adjusting the levelness of a wall surface, and relates to the technical field of building construction. According to the technical key points, sensor systems are installed at the corners of the main body frame respectively, the sensor systems are electrically connected with a control system, the control system is installed on the end face of the main body frame and located on the same plane of the control system, a feedback system is further installed on the main body frame, and the feedback system is electrically connected with the sensor systems. A pair of opposite sides of the main body frame are provided with lifting control systems, the feedback system and the lifting control systems are controlled by the control systems, and the main body frame is further provided with a magnetic attraction device. Compared with the prior art, the system has the advantages that the system can monitor the slope angle and flatness of the inclined wall in real time, an accurate correction scheme is automatically generated, and compared with the limitation of inclined wall construction measured by a traditional laser gradienter, the technology remarkably improves the construction precision and effectively meets the building requirement of a non-vertical wall.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of building construction, in particular to a method and device for automatically adjusting the levelness of a wall surface. BACKGROUND

[0002] In current wall construction, laser levels, manual levels or other auxiliary positioning tools are often used to detect and adjust the levelness and perpendicularity of the wall. These tools provide measurement data based on optical or mechanical principles and are widely used in the construction of wooden or metal frame walls in residential and commercial buildings. Some devices have automatic functions that can reduce manual operation to some extent and improve construction efficiency.

[0003] However, the prior art has deficiencies in construction efficiency. Most tools need to be frequently adjusted by hand to adapt to changes in wall height, which is particularly evident in continuous or high-rise wall construction, and is tedious and time-consuming to operate. In addition, fixed devices cannot dynamically follow the masonry process, requiring construction personnel to repeatedly reset the tools, which seriously hinders the overall construction progress. These limitations not only increase construction time and labor costs, but also make it difficult to meet the needs of efficient construction. SUMMARY

[0004] To overcome the deficiencies of the prior art, the present application provides a method and device for automatically adjusting the levelness of a wall surface, which has the advantages.

[0005] The above-mentioned object of the present application is achieved by the following technical solutions:

[0006] A method for automatically adjusting the levelness of a wall surface, comprising the following steps:

[0007] S1, fixing the device to the frame wall and initializing the sensor system;

[0008] S2, real-time acquisition of the levelness and perpendicularity data of the wall by the sensor system;

[0009] S3, processing of the sensor data by the control system, calculation of the deviation and generation of correction suggestions;

[0010] S4, when the deviation exceeds the preset threshold, reminding the construction personnel through the feedback system in the form of sound and light, digital or remote notification;

[0011] S5, dynamic rising of the main frame by the rising control system according to the change in wall height.

[0012] The application can be further configured in a preferred example as follows: the horizontal sensor and the vertical sensor are high-precision gyroscopes and dual-axis tilt sensors, respectively, for measuring the levelness and the perpendicularity, with measurement accuracies of ±0.1° and ±0.05°, respectively, and collecting data at a frequency of at least 10 Hz, and transmitting the data to the control system through Bluetooth or Wi-Fi.

[0013] The application can be further configured in a preferred example as follows: the microprocessor is configured to perform Kalman filtering algorithm to smooth the sensor data, and the storage module has a capacity of at least 32 GB for recording the levelness, the perpendicularity and the deviation data during the construction process.

[0014] The application can be further configured in a preferred example as follows: the acousto-optic alarm triggers the buzzer and the three-color LED lamp when the deviation exceeds the threshold value, the digital feedback module displays the deviation value and the correction suggestion through the touch display unit or the mobile device application, and the remote notification module pushes real-time alerts through Bluetooth or Wi-Fi;

[0015] The feedback system is configured to generate intelligent correction suggestions according to the deviation amplitude, including the adjustment direction and the amplitude, and the correction suggestions are presented in text or graphical form through the display unit or the application.

[0016] The application can be further configured in a preferred example as follows: the ascending control system supports an automatic mode, and drives the main frame to ascend at a speed of 0.1-0.5 meters per minute according to the wall height change detected by the vertical sensor.

[0017] The application can be further configured in a preferred example as follows: the software system includes embedded software and mobile application, the embedded software is configured to perform data collection, deviation calculation and feedback triggering, and the mobile application is configured to provide data visualization, deviation alert and correction suggestion.

[0018] The software system supports data export function to generate construction quality report in CSV or PDF format, including timestamp, levelness, perpendicularity and deviation state.

[0019] The application can be further configured in a preferred example as follows: the sensor system (2) adopts a detachable modular design, supporting hot plugging.

[0020] The application discloses a device for automatically adjusting the levelness of a wall surface, which comprises a main frame, a sensor system installed at the corners of the main frame, a control system electrically connected with the sensor system, the control system being installed on the end surface of the main frame and located in the same plane as the control system, a feedback system installed on the main frame, a rising control system arranged on one pair of opposite sides of the main frame, and a magnetic attraction device.

[0021] In a preferred example, the control system further comprises a software system, the software system comprising embedded software and a mobile terminal application program, and the software system is provided with a data export function.

[0022] In a preferred example, the sensor system comprises a horizontal sensor and a vertical sensor.

[0023] The control system comprises a microprocessor and a storage module.

[0024] The feedback system comprises an audible and visual alarm, a digital feedback module and a remote notification module.

[0025] The application has at least one of the following beneficial technical effects:

[0026] 1. The driving device can be automatically driven to rise according to the height of the wall body by the rising control system, without manual adjustment, so that the construction time of the wall body of the residence is significantly shortened, and the continuous construction efficiency is improved compared with fixed equipment.

[0027] 2. The sensor system and the control system are used for detecting the deviation of the wall body in real time and automatically generating correction suggestions, so that the error is effectively reduced and the construction quality of the frame wall body is improved compared with manual operation of a traditional laser level.

[0028] 3. The storage module is used for recording construction data and generating a deviation curve and a report, so that the data integrity is improved, quality acceptance and remote monitoring are supported, and a traditional manual recording mode is replaced.

[0029] 4. The feedback system provides deviation suggestions through an LCD screen and an APP, so that the correction time is significantly shortened, and the operation difficulty of the construction personnel is reduced compared with a light point indication mode of a laser level.

[0030] In summary, by integrating the slope calibration algorithm and the laser ranging sensor, the system can monitor the slope angle and flatness of the inclined wall in real time and automatically generate an accurate correction scheme. Compared with the traditional laser level, this technology significantly improves the construction accuracy and effectively meets the construction needs of non-vertical walls during the construction of inclined walls (since the flatness and slope angle of the wall change constantly, the traditional laser level cannot achieve dynamic correction).

[0031] With the temperature and humidity correction function, it can automatically calibrate the monitoring parameters in extreme environments such as high temperature and high humidity, ensuring the stability of measurement accuracy. Compared with traditional tools, the accuracy is significantly reduced in harsh conditions. This technology effectively overcomes environmental interference and is particularly suitable for outdoor operations and construction monitoring in special working conditions. BRIEF DESCRIPTION OF DRAWINGS

[0032] Figure 1 is the first perspective overall structure schematic diagram of the technical solution;

[0033] Figure 2 is the second perspective overall structure schematic diagram of the technical solution;

[0034] Figure 3 is the function block diagram of the control system in the technical solution;

[0035] Figure 4 is the working flowchart of the rising control system in the technical solution;

[0036] Figure 5 is the overall working flowchart of the technical solution.

[0037] Reference signs: 1, main frame; 2, sensor system; 3, control system; 4, feedback system; 5, rising control system; 6, magnetic attraction device. DETAILED DESCRIPTION

[0038] The application will be further described in detail below with reference to the accompanying drawings.

[0039] As shown in the figure, it is a method for automatically adjusting the levelness of a wall surface disclosed by the technical solution, which includes the following steps: Figures 1-2

[0040] S1, fix the device on the frame wall and initialize the sensor system;

[0041] S2, real-time acquisition of wall level and verticality data by the sensor system;

[0042] S3, processing sensor data by the control system, calculating deviation and generating correction suggestions;

[0043] ​S4, when the deviation exceeds the preset threshold, the feedback system reminds the construction personnel through sound and light, digital or remote notification;

[0044] S5, according to the change of wall height, the main frame is driven to rise dynamically by the rising control system.

[0045] Specifically:

[0046] S1, the construction personnel fixes the device at the bottom of the frame wall (such as metal studs with a spacing of 24 inches) through the magnetic attraction device (attractive force 70N) or self-adaptive clamp (supporting 10-24 inch spacing). Initialization is completed through a 5.5 inch LCD screen, the user sets the threshold (horizontal ±0.12°, vertical ±0.08°, slope ±0.15°, flatness ±1mm), the rising speed (0.3 meters / minute) and the target angle of the slope (such as 25°), and the sensor system 2 is automatically calibrated (time <6 seconds), supporting the slope template selection (0°-60°).

[0047] S2, the sensor system collects data at a frequency of 15Hz, the gyroscope monitors the horizontal angle (±0.07°), the tilt sensor monitors the vertical angle (±0.03°), the laser ranging sensor monitors the slope angle (±0.08°) and the flatness (±0.8mm), the data is transmitted through dual-frequency Wi-Fi, and the four-dimensional state is updated in real time.

[0048] S3, the control system processes the data through Kalman filtering and slope calibration algorithm, calculates the deviation (such as horizontal 0.2°, vertical 0.12°, slope 0.25°, flatness 1mm), generates correction suggestions (such as "adjust 0.2° to the right, adjust 0.12° forward, and correct the slope to 25°±0.1°"), and stores them in a 128GB storage module and displays them on the LCD screen.

[0049] S4, when the deviation exceeds the threshold, the feedback system triggers the multi-color LED (red flashing), the buzzer (90 decibels, 1 second interval) and the APP notification (content: "slope deviation 0.35°, adjust to 25°, flatness correction 1mm"), the APP displays the AR correction guide and the environmental prompt (such as "high temperature 40℃, increase the allowance 0.5mm"), and the construction personnel corrects the error to ±0.07°.

[0050] S5, the rising control system drives the motor according to the height increment (such as 0.2 meters) or slope angle change detected by the laser ranging sensor, the device rises at 0.3 meters / minute, the slope adaptive mode optimizes the inclined path (such as moving along a 25° slope), and the device pauses rising when there is a serious deviation (such as a slope > 0.5°). In an embodiment, the method is used for an inclined curtain wall (wall height 5.5 meters, slope 20°), the device rises from the bottom to 4 meters, detects a slope deviation of 0.38° and a flatness deviation of 1.2mm, the APP displays a 3D correction animation, the construction personnel corrects the error to 0.07°, and the efficiency is improved by 45%. Data is generated to generate a PDF report containing slope and flatness data, and submitted for quality inspection.

[0051] Based on the above method, the technical scheme also provides a device for automatically adjusting the levelness of a wall surface, comprising a main frame 1, a sensor system 2 is installed at each corner of the main frame 1, the sensor system 2 is electrically connected with a control system 3, the control system 3 is installed on the end face of the main frame 1 and located in the same plane as the control system 3, a feedback system 4 is also installed on the main frame 1, one pair of opposite sides of the main frame 1 is provided with a rising control system 53, the feedback system 4 and the rising control system 53 are controlled by the control system 3, and a magnetic attraction device is also provided on the main frame 1. The control system 3 further comprises a software system, the software system comprises embedded software and a mobile terminal application program, and the software system is provided with a data export function.

[0052] The sensor system 2 comprises a horizontal sensor and a vertical sensor.

[0053] The control system 3 comprises a microprocessor and a storage module.

[0054] The feedback system 4 comprises an audible and visual alarm, a digital feedback module and a remote notification module. The main frame 1 is made of lightweight aluminum alloy (thickness 2mm, weight about 3kg), the size is adjustable (width 0.5-2m, height 0.3-0.8m), the surface is coated with an anti-corrosion coating, and it is suitable for environments of-30℃ to 60℃. The frame is fixed to a metal or wooden frame wall body through an adjustable magnetic attraction device (attractive force 80N) or an adaptive clamp (supporting 10-24 inch spacing), to ensure the stability of dynamic construction.

[0055] For example, the magnetic attraction device here includes a pair of adjustable magnetic bases, magnetic pole protection sheets and a mechanical locking mechanism. The magnetic bases are made of neodymium-iron-boron strong magnetic material and are packaged in an impact-resistant shell. They are connected to the bottom of the main frame 1 through a slide rail structure and can adjust the adsorption position and angle according to the metal structure of the wall. The magnetic pole protection sheets are used to prevent magnetic field interference with sensor data and to improve the reuse life of the device. The mechanical locking mechanism includes a knob-type clamping structure and a non-slip pad, which can provide additional support after adsorption and enhance the overall fixing stability. When the frame is close to the metal wall, the magnetic attraction device is instantly adsorbed, and the mechanical locking ensures the stability of the frame during dynamic construction, adapting to metal components of different thicknesses, materials and curvatures.

[0056] The sensor system 2 includes horizontal and vertical sensors for real-time collection of wall levelness and verticality data. The sensor system 2 contains eight sets of high-precision gyroscopes (horizontal accuracy ±0.06°), dual-axis tilt sensors (vertical accuracy ±0.02°) and laser ranging sensors (flatness accuracy ±0.7mm), distributed at the four corners and the middle of the frame, forming a four-dimensional monitoring network, collecting 20 times of data per second (sampling rate 20Hz), and transmitting to the control system 3 through low-power Bluetooth (transmission distance 120 meters) or dual-frequency Wi-Fi (2.4 / 5GHz).

[0057] The control system 3 is in communication connection with the sensor system 2 and is configured to process sensor data, calculate deviations and generate correction suggestions.

[0058] The feedback system 4 is connected with the control system 3 and is configured to prompt the construction personnel through a multi-modal reminding way when detecting that the deviation exceeds the preset threshold.

[0059] The ascending control system 53 is configured to drive the main frame 1 to ascend along the wall dynamically.

[0060] Among them, the control system 3 processes the data of the sensor system 2 through a fusion algorithm to generate real-time deviation values and correction suggestions, and outputs them through the feedback system 4. The ascending control system 53 automatically adjusts the ascending speed according to the change of the wall height.

[0061] Through the rising control system 53, the driving device can be automatically driven to rise according to the increase of the wall height, without manual adjustment, the wall construction time of the residence is significantly shortened, and the continuous construction efficiency is improved; through the sensor system 2 and the control system 3, the wall deviation is detected in real time and the correction suggestion is automatically generated, compared with the manual operation of the traditional laser level, the error is effectively reduced and the frame wall construction quality is improved; through the storage module, the construction data is recorded, the deviation curve and the report are generated, so that the data integrity is improved, the quality acceptance and the remote monitoring are supported, and the traditional manual recording mode is replaced; the feedback system 4 provides the deviation suggestion through the LCD screen and the APP, compared with the light point indication mode of the laser level, the correction time can be significantly shortened, and the operation difficulty of the construction personnel is reduced.

[0062] The control system 3 is based on a high-performance microprocessor (600 MHz main frequency, with a double-precision floating-point operation unit), runs an embedded real-time operating system, and integrates the following algorithms:

[0063] Kalman filtering algorithm: used for smoothing sensor data, the formula is:

[0064] x k =Fx k-1 +Bu k +w k ’,z k =Hx k +v k

[0065] Wherein, x k is a state vector (horizontal angle, vertical angle, slope angle, flatness), F is a state transition matrix (based on a time step of 0.05s), Bu k is a control input (ignoring external control), w k is a process noise (Gaussian distribution, mean 0, variance 0.01), z k is a measurement value, H is a measurement matrix, v k is a measurement noise (variance 0.005). Parameters: prediction step 0.05s, filter gain K k dynamic adjustment (0.1-0.9). Slope calibration algorithm: calculate the deviation between the actual slope angle and the target angle, the formula is:

[0066] Δθ=θ 实际 -θ 目标 , correction vector = [R X ,R Y ,R Z ] = [cos(Δθ), sin(Δθ), Δd]

[0067] Wherein, θ 实际 is a slope angle measured by a sensor, θ 目标For designing a slope (e.g. 20°), Δd is the flatness deviation (mm). Parameters: angle threshold out 0.15°, flatness threshold ±1 mm.

[0068] The control system calculates the horizontal deviation (±0.1°), vertical deviation (±0.06°), slope angle deviation (±0.12°) and flatness deviation (±0.7mm) in real time, and generates correction suggestions (e.g. "adjust 0.18° to the right, 1.2mm up, slope correction to 20°±0.1°"). The feedback system includes a 6-inch touch LCD screen (resolution 1920x1080, brightness 700 nits), an adjustable volume buzzer (30-100 decibels) and a multi-color LED light (supporting 256 color gradients), when the deviation exceeds the threshold (horizontal ±0.12°, vertical ±0.08°, slope ±0.15°, flatness ±1mm), the LCD screen displays the deviation value, the four-dimensional state diagram (horizontal, vertical, slope, flatness) and the environmental adaptation prompt (e.g. "humidity 95%, correction allowance +0.6mm"), the buzzer emits a programmable tone, the LED light switches color (green normal, yellow slight, red serious), the APP (supporting iOS and Android) pushes multi-language notifications (Chinese, English, German, French, Spanish). The lifting control system 5 adopts double-motor drive (power 100W, torque 1N·m), realizes the frame lifting (speed 0.05-0.8 meters / minute) through high-precision transmission mechanism (error ±0.3mm), and adjusts the speed according to the height increment (e.g. 0.15 meters) or the slope angle change (e.g. 15° to 25°) detected by the laser ranging sensor and the tilt sensor in the automatic mode.

[0069] For example, the high-precision transmission mechanism can adopt a ball screw transmission structure, including a motor-driven shaft, a shaft coupling, a ball screw, a guide rail and a ball nut assembly, with the characteristics of small transmission gap, high repeat positioning accuracy and smooth operation, suitable for fine wall adjustment scenes. In some embodiments, a synchronous belt and precision guide rail transmission structure can also be used, which drives the synchronous belt sliding table to move along the guide rail by the motor, adjusts the belt tension through the tensioning mechanism to control the error, and is suitable for space compact or structure sensitive to weight application environment. The above transmission mechanisms can be combined with encoders to realize closed-loop control, ensure the smooth lifting of the frame in the vertical direction of the wall, and have the advantages of fast response and easy maintenance. In the automatic mode, the system dynamically adjusts the lifting speed according to the height change or slope angle change detected by the laser ranging sensor and the tilt sensor, realizes real-time adaptation to the wall construction state.

[0070] The slope adjustment algorithm identifies the design slope (e.g., 30°), generates a correction suggestion (e.g., "Adjust slope to 30°±0.1°, move 2mm to the right"), and the APP displays a 3D slope adjustment animation and AR guidance (superimposes the correction path through the phone camera). In an embodiment, the device is used for a commercial tilted curtain wall (wall height 6m, slope 25°), and at a height of 4m, a horizontal deviation of 0.15°, a vertical deviation of 0.1°, a slope deviation of 0.2°, and a flatness deviation of 0.9mm are detected, and the feedback system prompts "Adjust 0.15° to the left, correct 0.1° forward, adjust slope to 25°±0.1°", and the construction personnel corrects it through AR guidance, with an error controlled within ±0.06°, and an efficiency improved by 45%. Data is stored in a 256GB storage module (read / write speed 500MB / s), supports JSON, Excel and PDF format export, and generates a quality report containing four-dimensional data.

[0071] The sensor system includes a high-precision gyroscope and a dual-axis tilt sensor, respectively used to measure the levelness and the verticality, with measurement accuracies of ±0.1° and ±0.05°, respectively, and data is collected at a frequency of at least 10Hz, and transmitted to the control system through low-power Bluetooth or Wi-Fi.

[0072] Specifically, the sensor system adopts a modular design, including one main control board and ten detachable sensor units, distributed at the four corners, the middle and the two sides of the frame, optimizing the monitoring of levelness, verticality, slope and flatness. The gyroscope measures the levelness (accuracy ±0.06°), supports dynamic calibration, and is resistant to construction vibration (frequency 0-150Hz). The dual-axis tilt sensor measures the verticality (accuracy ±0.02°), supports a 90° range, and is suitable for vertical and inclined walls (slope 5-60°). The laser ranging sensor measures the flatness (accuracy: 0.7mm) and the slope geometric characteristics (height difference ±1.2mm), and communicates with the main control board through a high-speed I2C interface (transmission rate 3Mbps). The sensor system collects data at a frequency of 20Hz, and each set of data contains a timestamp (accurate to 0.02 seconds), a horizontal angle, a vertical angle, a slope angle, a flatness value, a temperature (accuracy ±0.2℃) and a humidity (accuracy ±1.5%RH), and corrects the environmental impact (such as 40℃ or 98% humidity). Environmental adaptation algorithm:

[0073] Correction coefficient = k1T + k2H, k1 = 0.002 / ℃, k2 = 0.001 / ℃

[0074] Where T is the temperature (℃) and H is the humidity (%RH), the correction coefficient adjusts the sensor output (maximum ±0.05°. Data is transmitted through low-power Bluetooth (distance 150m) or dual-frequency Wi-Fi, with a delay of less than 0.2 seconds. The slope adjustment function is fused through the laser ranging sensor and the tilt sensor, and the slope deviation is calculated as Δθ 收面= arctan(Δh / L) - θ 目标 .

[0075] where Δh is the height difference (mm), L is the wall width (m), θ 目标 is the design slope (e.g. 25°). Parameters: angle threshold ±0.15°, height difference threshold ±1 mm. In an embodiment, the device is used for artistic wall construction (wall height 4.5 meters, slope 30°), ten sensor units are monitored synchronously, a horizontal deviation of 0.12°, a vertical deviation of 0.08°, a slope deviation of 0.18° and a flatness deviation of 0.8 mm are detected at a height of 3 meters, the data is transmitted to the APP through Wi-Fi, a four-dimensional deviation graph is displayed, and the error is reduced to ±0.06° after correction by the construction personnel. The sensor unit supports hot plugging, the protection level is IP69, the replacement time is less than 30 seconds, and the built-in intelligent diagnosis (APP prompts faults such as high temperature overrun) is provided.

[0076] The control system includes a microprocessor configured to execute a Kalman filter algorithm to smooth sensor data, and a storage module having a capacity of at least 32 GB for recording levelness, perpendicularity and deviation data during construction.

[0077] Specifically, the control system uses a high-performance embedded platform, the core of which is a high-frequency microprocessor (60OMHz, with a double-precision floating-point operation unit), which is matched with a 256GB storage module (read / write speed 500MB / s) and an 8GB RAM to ensure processing of levelness, perpendicularity, slope and flatness data. The microprocessor runs the following algorithms:

[0078] Kalman filter algorithm: smooth sensor data, formula as above, parameter optimization: process noise variance 0.008, measurement noise variance 0.004, prediction step 0.02s, filter gain K k range 0.05-0.95, calculation accuracy 0.005°.

[0079] Slope calibration algorithm: calculate slope deviation, formula as above, parameters: angle threshold ±0.12 degrees, flatness threshold +0.7 mm, iteration step 0.01s. Environmental adaptation algorithm: correct temperature and humidity effects, formula:

[0080] corrected angle = θ 原始 + k1(T-T0) + k2(H-H0)

[0081] where θoriginal is the original angle, T0=25℃, H0=50, k1=0.0015 / ℃, k2=0.0008 / ℃.

[0082] The storage module records data (time stamp, horizontal angle, vertical angle, slope angle, flatness, environmental parameters, correction suggestions), about 60MB of data is generated in 0 hours of construction, and the capacity supports 180 days of recording. The control system integrates a 5G module (uplink and downlink speed 300 / 150 Mbps), supports cloud synchronization, and RTOS manages multi-task scheduling (data acquisition, deviation calculation, feedback triggering, slope calibration, environmental adaptation). The task switching time is less than 0.5ms. In the embodiment, the device is used for inclined partition wall construction (wall height 5.5 meters, slope 20°), and at a height of 4 meters, a horizontal deviation of 0.18°, a vertical deviation of 0.1°, a slope deviation of 0.15°, and a flatness deviation of 0.8mm are detected. The control system generates a correction suggestion, stores a four-dimensional deviation curve, and the construction personnel checks the slope state diagram through the LCD screen. After correction, the error is reduced to 0.05°. Data is exported through USB-C or cloud service, and a report containing slope data is generated. OTA upgrade is supported (time < 2.5 minutes), and new environmental adaptation templates (high temperature 45℃, high humidity 98%) are downloaded through the APP.

[0083] The feedback system includes an audible and visual alarm, a digital feedback module, and a remote notification module. The audible and visual alarm triggers a buzzer and a three-color LED light when the deviation exceeds the threshold value. The digital feedback module displays the deviation value and correction suggestions through a touch display unit or a mobile device application. The remote notification module pushes real-time alerts through Bluetooth or Wi-Fi.

[0084] Specifically, the feedback system ensures that construction personnel receive information on horizontal, vertical, slope, and flatness deviations through multimodal interaction. The audible and visual alarm includes a high-quality buzzer (volume 30-100 dB, supports 12 tones) and eight multi-color LEDs (supports 256 color gradients, power consumption 0.1W), distributed at the four corners and center of the frame. When deviations are minor (horizontal 0.12°-0.3°, vertical 0.08°-0.2°, slope 0.15°-0.35°, flatness 0.7-1.5mm), the green LEDs gradually change to yellow, and the buzzer emits short beeps at 0.3-second intervals; when deviations are severe (horizontal >0.3°, vertical >0.2°, slope >0.35°, flatness >1.5mm), the red LEDs flash, and the buzzer sounds continuously. The digital feedback module displays real-time data (horizontal, vertical, slope, flatness, and environmental status) on a 6-inch touchscreen LCD (1920x1080 resolution, 5ms response time), providing a four-dimensional status diagram and environmental prompts (such as "Humidity 98%, Correction margin +0.7mm"). The remote notification module pushes alarms to the app via Bluetooth Low Energy or dual-band Wi-Fi with a latency of less than 0.1 seconds, supporting multi-device synchronization (up to 15 devices). Notification content includes deviation values, correction suggestions, and environmental prompts (such as "Slope deviation 0.3°, High temperature 40℃, adjust to 25°"). The slope adjustment function displays 3D animation and AR mode (correction path overlaid on the phone's camera) via the app. In this embodiment, the device is used on an outdoor inclined curtain wall (6 meters high, 20° slope). At a height of 4.5 meters, a slope deviation of 0.3° and a flatness deviation of 1mm are detected. This triggers a red LED and a buzzer, and the LCD screen displays "Slope adjusted to 20°±0.1°". An AR guide is pushed to the app, allowing construction workers to correct the error from 25 meters away, reducing the error to ±0.06°. The feedback system is customizable; users can set the tone, LED color, silent mode, or environmental adaptation mode (low brightness at night, low volume at high temperatures).

[0085] The feedback system is configured to generate intelligent correction suggestions based on the deviation magnitude, including adjustment direction and magnitude. The correction suggestions are presented in text or graphic form through a display unit or application.

[0086] Specifically, the intelligent correction suggestion function of the feedback system is based on a multi-dimensional deviation analysis algorithm to optimize adjustments for horizontality, verticality, slope, and flatness. The algorithm takes sensor data as input and calculates the deviation vector:

[0087] Deviation vector = [Δθ] h’ , Δθ v’ , Δθ s’ ,Δd]=[θ h’实际 -θ h’目标 ,θ v’实际 -θ v’目标 ,θ s’实际 -θs’目标 ,d 实际 -d 目标 ]

[0088] Parameter: θ h’目标 =0°, Δθ v’目标 =90°, Δθ s’目标 To design the slope (e.g., 25°), d 目标 =0mm, threshold values ​​at different locations: ±0.12°, ±0.08°, ±0.15°, ±1mm. Correction recommendations are generated using a geometric optimization model.

[0089] Correction vector = [R X ,R Y ,R Z R d ] = [K h Δθ h K v Δθ v K s Δθ s K d Δd]

[0090] Among them, K h =0.9, K v =0.95, K s =0.85, K d =0.8, which is the adjustment coefficient. It is recommended to present this on the LCD screen using text, graphics, animation, and AR. Text example: "Adjust 0.18° to the right, adjust 0.12° forward, slope correction to 25°±0.1°, flatness adjustment 0.8mm"; graphics include a four-dimensional deviation heatmap and a slope angle diagram. The app provides 3D animation, voice guidance (supporting 6 languages), AR correction (overlay path from the phone's camera), and environmental adaptation prompts (e.g., "Humidity 95%, correction margin +0.7mm"). The slope adjustment algorithm supports dynamic templates (0°-60°, 0.2° increments), taking environmental factors into consideration.

[0091] Environmental correction = k1(T-25) + k2(H-50), k1 = 0.0012 / ℃, k2 = 0.0007 / ℃.

[0092] In this embodiment, the device was used for the construction of an art wall (4.8 meters high, 30° slope). At a height of 3.2 meters, it detected a horizontal deviation of 0.2°, a vertical deviation of 0.12°, a slope deviation of 0.25°, and a flatness deviation of 0.9 mm. It generated a suggestion to "adjust 0.2° to the right, adjust 0.12° forward, and correct the slope to 30°±0.1°". The APP displayed AR guidance, and after correction, the error was reduced to ±0.05°, improving efficiency by 50%.

[0093] The ascent control system supports an automatic mode, driving the main frame to ascend at a speed of 0.1-0.5 m / min according to the wall height variation detected by the vertical sensor.

[0094] Specifically, the ascent control system adopts high-precision servo control to ensure the equipment to move stably with the wall height variation in the horizontal, vertical, slope and flatness monitoring. The system contains double direct-current brushless motors (power 120 W, torque 1.2 N·m) and high-resolution encoders (65536 pulses / turn), driving the frame to ascend through a precision transmission mechanism (error ±0.2 mm) at a speed of 0.05-1 m / min and a positioning accuracy of ±0.3 mm. In the automatic mode, the laser ranging sensor and the tilt sensor detect the height increment (such as 0.15 m) and the slope angle variation (10° to 30°), and the control system 3 adjusts the speed through a path planning algorithm:

[0095] v = k v Δh / Δt + k s Δθ s , k v = 0.5, k s = 0.3

[0096] Wherein: v is the ascending speed (m / min), Δh is the height increment (m), Δt is the time (min), Δθ s is the slope angle variation (°).

[0097] Parameters: speed threshold 0.05-1 m / min, angle variation threshold ±0.5°. In the embodiment, the equipment is used for inclined curtain wall construction (wall height 6.5 m, slope 20°), and the equipment ascends at a speed of 0.4 m / min when the height increment is 0.2 m in the automatic mode. At the height of 4.8 m, the slope deviation is 0.35°, the system pauses the ascent and alarms, and the error is 0.05° after correction. The system is equipped with overload detection (stop when resistance >15 N), slope anomaly protection (pause when deviation >0.7°), environment adaptation mode (reduce power by 10% when temperature is 45℃), and low power warning (LED flashes when battery <10%). A 10000 mAh lithium battery supports 15 hours of operation, equipped with a solar charging module (power 20 W).

[0098] Also included is a software system, which includes embedded software configured to perform data acquisition, deviation calculation and feedback triggering, and a mobile application configured to provide data visualization, deviation alarm and correction suggestion.

[0099] Specifically, the software system includes embedded software, mobile APP, and cloud service platform, forming a comprehensive data management and interaction ecosystem. The embedded software runs on RTOS and includes six modules: data acquisition (supports 15Hz sampling, compatible with multiple sensors), deviation calculation (fuses horizontal, vertical, slope, and flatness data, delay <6ms), feedback trigger (manages sound, light, digital, and remote notifications), ascent control (optimizes slope path), slope calibration (supports 0°-60° templates), and environmental adaptation (optimizes for high temperature and high humidity). The software is developed in C++, with approximately 10,000 lines of code, and supports OTA upgrades (time <3 minutes). The mobile APP (supports iOS17+ and Android13+) provides interaction functions, including real-time data dashboard (displays horizontal, vertical, slope, and flatness), four-dimensional slope visualization (dynamically renders wall state), deviation alarm log (records events, timestamps, and correction suggestions), AR correction mode (superimposes adjustment guidelines), and environmental adaptation prompts ("high temperature 35°C, recommend correction allowance +0.5mm"). The APP supports multiple languages (Chinese, English, Japanese, German, and French), and users can set threshold values (horizontal ±0.12°, vertical ±0.08°, slope ±0.15°), alarm modes (vibration / silent), and slope templates (0°-60°). The cloud service platform supports 5G data upload (delay <0.8 seconds) and provides remote monitoring, deviation trend analysis, slope correction statistics, and multi-project comparison. In the embodiment, the device is used for inclined partition wall construction (wall height 5 meters, slope 20°), the APP displays a 3-meter-high slope deviation of 0.32°, the user corrects it through the AR mode, the error is reduced to ±0.08°, and the cloud generates a report containing slope data, which is submitted to the project manager. The software supports offline operation, data is stored locally when disconnected, and automatically synchronized after connected, with encryption using AES-256 algorithm.

[0100] The software system supports data export function, generating CSV or PDF format construction quality report, including timestamp, levelness, perpendicularity and deviation state.

[0101] Specifically, the data export function generates construction quality reports containing level, vertical, slope and flatness data through a dedicated module of the software system. The control system records data (timestamp, level angle, vertical angle, slope angle, flatness value, correction suggestion, environmental parameters) every second and stores them in a 128GB storage module. Ten hours of construction generates about 50MB of data, and the capacity supports 150 days of recording. Users can select the export time range (e.g. 2025-05-23 07:00 to 19:00) through the LCD screen or APP to generate CSV files (format: timestamp, level angle, vertical angle, slope angle, flatness, environmental parameters, correction suggestion) or PDF files (containing line graphs, heat maps, slope angle distribution graphs, flatness statistics and environmental impact analysis, such as "humidity 90%, deviation +0.5mm"). The slope data report adds a dynamic slope trend graph (0°-60° change), correction efficiency analysis (correction time, success rate) and environmental adaptation statistics (high temperature / high humidity correction times). In an embodiment, the device is used for art wall construction (wall height 4.2 meters, slope 25°), and the user exports 5 hours of data. The PDF report shows that the slope deviation of 3 meters in height is 0.35°, the flatness deviation is 1.2mm, and the error after correction is 0.07°. The report contains four-dimensional deviation graph and environmental analysis, and submits GB / T50375 certification. Export supports encrypted transmission (TLS1.3 protocol), time less than 20 seconds, APP allows users to customize report templates (add project number, construction unit logo, environmental parameters). Cloud service supports cross-project data analysis, generates slope deviation comparison report, optimizes construction management.

[0102] The sensor system adopts a detachable modular design, supporting hot plugging.

[0103] Specifically, the modular design of the sensor system adopts high protection standards and intelligent diagnostic functions, optimizing maintenance and slope adjustment performance. Eight sensor units (including gyroscopes, tilt sensors, and laser ranging sensors) are packaged in an IP68 protection level magnesium alloy shell (size 40mm x 20mm x 12mm, weight 70g), connected to the main control board through a magnetic lock connector (contact resistance <8mΩ), supporting hot plugging, and replacement time less than 40 seconds. The main control board supports 12 sensor unit extensions, suitable for large inclined walls (such as 2.5 meters wide, 35° slope). Each unit has a built-in storage chip to save calibration parameters (zero offset, temperature compensation, slope template), which automatically loads when replaced, with a calibration error of less than 0.015°. The laser ranging sensor adds slope flatness detection (accuracy ±0.8mm), measuring wall surface height difference (such as ±1.5mm) and slope geometric characteristics (supporting 0°-60°). In an embodiment, the device is used for outdoor inclined curtain walls (wall height 5.2 meters, slope 20°), and one sensor unit is replaced due to high humidity failure. The construction personnel complete the operation under continuous power supply, and the system automatically restores monitoring, with an error of ±0.07°. The sensor unit is equipped with a multi-color status light (green normal, orange calibration abnormal, red fault), supporting remote diagnosis (APP displays fault codes such as "humidity overrun"). The slope adjustment function is calibrated by the laser ranging sensor and the tilt sensor, ensuring the design slope (such as 25°) accuracy of ±0.08°, reducing maintenance costs by 40%. The added environmental adaptation function automatically adjusts the calibration parameters to cope with extreme environments (such as 45°C high temperature or 98% humidity).

[0104] The embodiments of the specific implementation are the preferred embodiments of the present application, and are not limited to the protection scope of the present application. Therefore, any equivalent changes made in accordance with the structure, shape, and principle of the present application should be covered within the protection scope of the present application.

Claims

1. A method for automatically adjusting the levelness of a wall, characterized in that, Includes the following steps: S1. Fix the device to the frame wall and initialize the sensor system (2); S2. Real-time data on the horizontality and verticality of the wall are collected through the sensor system (2); S3. The control system (3) processes the sensor data, calculates the deviation, and generates correction suggestions. S4. When the deviation exceeds the preset threshold, the construction personnel will be reminded by sound, light, digital or remote notification through the feedback system (4); S5. Based on the change in wall height, the main frame (1) is dynamically raised by the lifting control system (5).

2. The method for automatically adjusting the levelness of a wall surface according to claim 1, characterized in that, The horizontal sensor and the vertical sensor are a high-precision gyroscope and a dual-axis tilt sensor, respectively, used to measure horizontality and verticality, with measurement accuracies of ±0.1° and ±0.05°, respectively, and data are collected at a frequency of at least 10Hz and transmitted to the control system (3) via Bluetooth Low Energy or Wi-Fi.

3. The method for automatically adjusting the levelness of a wall surface according to claim 2, characterized in that, The microprocessor is configured to execute a Kalman filter algorithm to smooth sensor data, and the storage module has a capacity of at least 32GB for recording horizontality, verticality, and deviation data during construction.

4. The method for automatically adjusting the levelness of a wall surface according to claim 3, characterized in that, The audible and visual alarm triggers a buzzer and a tri-color LED light when the deviation exceeds the threshold. The digital feedback module displays the deviation value and correction suggestions through a touch display unit or mobile device application. The remote notification module pushes real-time alarms via Bluetooth or Wi-Fi. The feedback system (4) is configured to generate intelligent correction suggestions based on the deviation magnitude, including adjustment direction and magnitude, and the correction suggestions are presented in text or graphic form through the display unit or application.

5. A method for automatically adjusting the levelness of a wall surface according to claim 4, characterized in that, The rising control system (5) supports an automatic mode, which drives the main frame (1) to rise at a speed of 0.1-0.5 meters per minute based on the wall height changes detected by the vertical sensor.

6. The method for automatically adjusting the levelness of a wall surface according to claim 5, characterized in that, The software system includes embedded software and a mobile application. The embedded software is configured to perform data acquisition, deviation calculation, and feedback triggering. The mobile application is configured to provide data visualization, deviation alarms, and correction suggestions. The software system supports data export, generating construction quality reports in CSV or PDF format. The reports include timestamps, levelness, verticality, and deviation status.

7. A method for automatically adjusting the levelness of a wall surface according to claim 6, characterized in that, The sensor system (2) adopts a detachable modular design and supports hot-swapping.

8. Based on the device of claim 7, a device for automatically adjusting the level of a wall is provided, comprising a main frame (1), a sensor system (2) installed at the corners of the main frame (1), the sensor system (2) being electrically connected to a control system (3), the control system (3) being installed on the end face of the main frame (1) and located on the same plane as the control system (3), a feedback system (4) being installed on the main frame (1), a rising control system (5) being provided on one pair of opposite sides of the main frame (1), the feedback system (4), the rising control system (5) (3) being controlled by the control system (3), and a magnetic suction device (6) being provided on the main frame (1).

9. The device for automatically adjusting the levelness of a wall surface according to claim 8, characterized in that, The control system (3) also includes a software system, which includes embedded software and mobile applications, and the software system has a data export function.

10. The device for automatically adjusting the levelness of a wall surface according to claim 9, characterized in that, The sensor system (2) includes a horizontal sensor and a vertical sensor; The control system (3) includes a microprocessor and a storage module; The feedback system (4) includes an audible and visual alarm, a digital feedback module, and a remote notification module.

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