Large-space steel truss assembly construction precision control method based on real-time monitoring technology

Abstract

The invention relates to the technical field of steel truss assembly precision control, and discloses a large-space steel truss assembly construction precision control method based on a real-time monitoring technology. According to the method, through a sensing technology and a data processing system, steel truss supporting node coordinates, strain force and material temperature data are collected in real time and transmitted to a data processing center through a wireless network to be subjected to low-pass filtering and stress and thermal expansion calculation, and therefore it is ensured that the material state meets the assembling standard; error calculation and precision evaluation in the process not only can timely discover and correct deviation, but also can feed back to the assembling and adjusting equipment through intelligent signals to realize automatic precision control, and compared with traditional manual measurement, the method has the advantages that the influence of environmental factors on measurement accuracy is greatly reduced, the limitation of static measurement is overcome, and the measurement accuracy is improved. And real-time monitoring and correction capabilities are provided, so that structural deformation and safety risks are reduced, and the overall construction quality and safety of the steel truss are ensured.

Description

Technical Field

[0001] The invention relates to the technical field of steel grid assembly precision control, and in particular to a large-space steel grid assembly construction precision control method based on real-time monitoring technology. Background Art

[0002] With the increasing demand for large-space structures in the construction industry, steel grids, as a lightweight, high-strength building form, are widely used in large venues, airports, stations and other buildings. This structure has the advantages of light weight, strong bearing capacity and short construction period. In order to ensure the design performance and safe use of steel grids, the assembly accuracy requirements during the construction process are quite strict.

[0003] At present, the accuracy of most assembly construction mainly relies on traditional manual measurement and construction experience. Static measurement is usually carried out through equipment such as levels and total stations to control the relative position and installation angle of each component. The accuracy of manual measurement is easily affected by environmental factors such as light, weather changes and the skill level of the operator, which may lead to an increase in measurement errors. Secondly, traditional methods are often static and difficult to achieve real-time monitoring, which means that deviations cannot be tracked and corrected in time during the assembly process, which may lead to structural deformation and safety risks. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the shortcomings of the prior art, the present invention provides a large-space steel grid assembly construction precision control method based on real-time monitoring technology. By introducing advanced sensing technology and data processing systems, the monitoring and adjustment during the steel grid assembly process can be realized in real time and intelligently, effectively improving the precision and safety of the assembly construction. The support node coordinates, strain force and material temperature data collected in real time are transmitted to the data processing center through a wireless network for low-pass filtering and stress and thermal expansion calculations, thereby ensuring that the material state meets the assembly standards. The error calculation and precision evaluation in this process can not only detect and correct deviations in time, but also feedback to the assembly adjustment equipment through intelligent signals to achieve automated precision control. Compared with traditional manual measurement, this method greatly reduces the influence of environmental factors on measurement accuracy, overcomes the limitations of static measurement, and provides the ability of real-time monitoring and correction, thereby reducing structural deformation and safety risks, ensuring the overall construction quality and safety of the steel grid, and solving the above-mentioned problems.

[0005] (II) Technical solution To achieve the above object, the present invention provides the following technical solution: a method for controlling the assembly construction accuracy of a large-space steel grid based on real-time monitoring technology, comprising the following steps: S1, collect the support node coordinates, strain force data and material temperature data in the steel grid assembly process in real time through the total station, displacement sensor, strain gauge and temperature sensor, and transmit them to the data processing center through the wireless network; S2, the data processing center performs low-pass filtering on the transmitted strain force data and material temperature data, and calculates the stress of the steel grid material and the thermal expansion of the steel grid material after filtering. When the stress of the steel grid material and the thermal expansion of the steel grid material meet the assembly standard, the assembly error calculation and assembly accuracy calculation are performed, otherwise the communication information prompts the construction personnel to re-select the steel grid assembly material and return to S1 for data re-monitoring and analysis, wherein the error calculation includes the difference between the actual coordinates and the design coordinates and the deformation error of the grid under the action of its own weight and external load, and the accuracy calculation includes the overall assembly accuracy of the steel grid, the relative position deviation of the steel grid assembly, and the deviation angle of the steel grid assembly; S3. Based on the difference between the actual coordinates and the design coordinates, the deformation error of the grid under its own weight and external load, the overall assembly accuracy of the steel grid, the relative position deviation of the steel grid assembly, and the steel grid assembly deviation angle, a comparison is made with the preset standard value. When it is found that the deviation exceeds the actual assembly construction range, the deviation correction signal is started and transmitted to the steel grid assembly adjustment equipment to control and correct the steel grid assembly accuracy.

[0006] Preferably, the formula for low-pass filtering the strain force data and the material temperature data is as follows:

[0007] In the formula, Indicates the current time The filtered output value of Indicates the current time The original input strain and temperature data values, Indicates the previous moment The filtered output value of Indicates the filter coefficient with a value range of 0-1.

[0008] Preferably, the calculation formula of the steel grid material stress is as follows:

[0009] In the formula, represents the material stress of the steel grid, Represents the force applied to the material, obtained by monitoring with strain gauges, Indicates the cross-sectional area of ​​the material, which is obtained by assembling material product parameters.

[0010] Preferably, the calculation formula for thermal expansion of the steel grid material is as follows:

[0011] In the formula, Indicates the thermal expansion of the steel grid material. Represents the thermal expansion coefficient of the steel grid material, which is a constant value of 0.8. Indicates the first steel grid material temperature value within the acquisition period. It indicates the last steel grid material temperature value in the acquisition cycle, and is directly obtained through the temperature sensor. Indicates the original length of the material.

[0012] Preferably, the calculation formula for the difference between the actual coordinates and the design coordinates is as follows:

[0013] In the formula, Indicates the difference between the actual coordinates and the designed coordinates, , , Represents the actual coordinates collected by the displacement sensor Quantity, , , Represents the design coordinates Component, the formula means that the distance between the actual coordinates and the design coordinates is obtained by square rooting the difference between them.

[0014] Preferably, the deformation error calculation formula of the grid under the action of deadweight and external load is as follows:

[0015] In the formula, It represents the deformation error of the grid under the action of its own weight and external load. represents the original length of the material, represents the strain caused by the material's own weight, It represents the strain caused by external load on the material and is obtained by strain gauge.

[0016] Preferably, the calculation formula for the overall assembly accuracy of the steel grid is as follows:

[0017] In the formula, Indicates the overall assembly accuracy of the steel grid. represents the number of monitoring points, Indicates The displacement difference of the monitoring points is represents a count subscript, For all monitoring points from arrive The squared sum of the deviations is It means taking the average of all the squared deviations, The square root sign means taking the square root of the square of the mean.

[0018] Preferably, the calculation formula for the relative position deviation of the steel grid assembly is as follows:

[0019] In the formula, Indicates the relative position deviation of the steel grid assembly, in meters. , , Indicates the coordinates of the first point of the steel grid assembly collected by the displacement sensor, , , Indicates the position coordinates of the second point of the steel grid assembly collected by the displacement sensor.

[0020] Preferably, the calculation formula of the steel grid assembly deviation angle is as follows:

[0021] In the formula, Indicates the angle deviation of steel grid assembly. , Indicates the direction of the two intersections of the steel grid members. Representation vector and The cross product of It is equal to the product of the sine of the angle between two vectors and their modulus. Representation vector and The dot product of Represents the inverse tangent function, which is used to convert the tangent value to an angle.

[0022] Preferably, the deviation correction signal generation condition is as follows: When the difference between the actual coordinates and the design coordinates Greater than mm; When the deformation error of the grid under the action of its own weight and external load Greater than mm; When the overall assembly accuracy of the steel grid Greater than mm; When the relative position deviation of the steel grid assembly Greater than mm; When the steel grid assembly angle deviation Greater than Spend; in, , , , as well as Indicates the industry standard accuracy of steel grid assembly construction. , , , , ; When any of the above-mentioned out-of-range conditions occurs, a deviation correction signal is generated.

[0023] Compared with the prior art, the present invention provides a large space steel grid assembly construction accuracy control method based on real-time monitoring technology, which has the following beneficial effects: By introducing advanced sensing technology and data processing systems, the present invention can realize real-time and intelligent monitoring and adjustment during the steel grid assembly process, effectively improving the accuracy and safety of assembly construction. The real-time collected support node coordinates, strain force and material temperature data are transmitted to the data processing center via a wireless network for low-pass filtering and stress and thermal expansion calculations, thereby ensuring that the material state meets the assembly standards. The error calculation and accuracy assessment in this process can not only detect and correct deviations in a timely manner, but also feedback to the assembly adjustment equipment through intelligent signals to achieve automated accuracy control. Compared with traditional manual measurement, this method greatly reduces the impact of environmental factors on measurement accuracy, overcomes the limitations of static measurement, and provides real-time monitoring and correction capabilities, thereby reducing structural deformation and safety risks, and ensuring the overall construction quality and safety of the steel grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the steps of the method of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] Traditional steel grid splicing is usually measured statically using equipment such as levels and total stations. Manual measurement is easily affected by environmental factors such as light, weather changes, and the skill level of operators, which may lead to increased measurement errors. Secondly, traditional methods are often static and difficult to achieve real-time monitoring, which means that deviations cannot be tracked and corrected in time during the assembly process, which may lead to structural deformation and safety risks. Therefore, a large-space steel grid assembly construction accuracy control method based on real-time monitoring technology is proposed. Please refer to Figure 1 , the method comprises the following steps: S1, using displacement sensors, strain gauges and temperature sensors to collect support node coordinates, strain force data and material temperature data during the steel grid assembly process in real time, and transmit them to the data processing center through a wireless network; During the steel grid assembly process, advanced total stations, displacement sensors, strain gauges and temperature sensors are used to realize real-time collection of support node coordinates, strain force and material temperature data. These sensors can obtain tiny displacement changes and strain information in a very short time through high-precision measurement technology to ensure the accuracy and reliability of the data. Displacement sensors can monitor the displacement of the structure in real time through optical, laser or inductive principles, while strain gauges can accurately measure the strain response of materials under different loads, thereby providing an important basis for subsequent stress analysis. At the same time, temperature sensors monitor the temperature changes of the environment and materials, taking into account the impact of temperature on material properties to ensure the stability of the material state during the assembly process. The collected data is transmitted to the data processing center in real time via wireless network. This process uses high-bandwidth and low-latency wireless communication technology, such as Technology ensures fast and secure data transmission. The data processing center uses advanced algorithms to process and analyze the transmitted data, including low-pass filtering to remove noise interference and ensure the accuracy of subsequent calculations. S2, the data processing center performs low-pass filtering on the transmitted strain force data and material temperature data, and calculates the stress of the steel grid material and the thermal expansion of the steel grid material after filtering. When the stress of the steel grid material and the thermal expansion of the steel grid material meet the assembly standard, the assembly error calculation and assembly accuracy calculation are performed, otherwise the communication information prompts the construction personnel to re-select the steel grid assembly material and return to S1 for data re-monitoring and analysis, wherein the error calculation includes the difference between the actual coordinates and the design coordinates and the deformation error of the grid under the action of its own weight and external load, and the accuracy calculation includes the overall assembly accuracy of the steel grid, the relative position deviation of the steel grid assembly, and the deviation angle of the steel grid assembly; The formula for low-pass filtering of strain force data and material temperature data is as follows:

[0027] Low-pass filtering technology can effectively remove high-frequency noise and interference signals, making the measurement results of strain data and material temperature data smoother and more reliable. This processing method ensures the authenticity and validity of the data, avoids the impact of instantaneous fluctuations on data analysis, and thus improves the accuracy of subsequent calculations. In the formula, Indicates the current time The filtered output value of Indicates the current time The original input strain and temperature data values, Indicates the previous moment The filtered output value of It represents the filter coefficient with a value range of 0-1. The data processed by low-pass filtering can better reflect the real state of the material under normal working conditions, which helps construction personnel to make accurate judgments and adjustments in time, and provides important guarantee for the safety of steel grids. The calculation formula of steel grid material stress is as follows:

[0028] By calculating the stress of steel grid materials, we can gain a deeper understanding of the performance of the materials under different load conditions and identify whether the materials are within the safe use range. Stress calculation helps to evaluate the bearing capacity of the materials and ensure that the structure will not fail due to overloading during the assembly process. In the formula, represents the material stress of the steel grid, Represents the force applied to the material, obtained by monitoring with strain gauges, Indicates the cross-sectional area of ​​the material. By assembling the material product parameters, understanding the stress state of the material can also provide a basis for subsequent design optimization. By adjusting the material selection or structural design, potential safety risks can be reduced and the long-term stability of the structure can be ensured. The calculation formula for thermal expansion of steel grid material is as follows:

[0029] The calculation of thermal expansion helps to understand the dimensional changes of materials caused by temperature changes, which is particularly important in the assembly process of large space steel grids. The expansion or contraction of materials under temperature changes may lead to a decrease in assembly accuracy or structural deformation. Therefore, through the calculation of thermal expansion, the assembly plan can be adjusted in time to ensure the stability of materials under extreme temperature conditions. Indicates the thermal expansion of the steel grid material. Represents the thermal expansion coefficient of the steel grid material, which is a constant value of 0.8. Indicates the first temperature value collected during the collection cycle. Indicates the last temperature value collected during the collection cycle, directly obtained through the temperature sensor. Indicates the original length of the material. The calculation of this value can also guide construction personnel to select appropriate materials and connection methods to adapt to environmental changes and reduce the risk of structural deformation; Among them, the stress of the steel grid material should be below its maximum allowable stress (tensile strength and compressive strength), usually 60%-75% of the material yield strength. The thermal expansion of the steel grid material is usually , ensure that the dimensional change under temperature change does not exceed the design allowable range; The difference between the actual coordinates and the designed coordinates is calculated as follows:

[0030] The difference calculation between the actual coordinates and the design coordinates can effectively identify the deviation in the assembly process and provide a basis for subsequent adjustments and corrections. This calculation ensures that the installation position of the components is consistent with the design requirements and reduces structural problems caused by position deviations. In the formula, Indicates the difference between the actual coordinates and the designed coordinates, , , Represents the actual coordinates collected by the displacement sensor Quantity, , , Represents the design coordinates Component, the formula means that the difference between the actual coordinates collected and the design coordinates is squared and then summed to obtain the distance value between the actual coordinates and the design coordinates. Timely identification and correction of these differences will help improve the efficiency of assembly construction, reduce rework and material waste, and save construction time and cost; The calculation formula of the deformation error of the grid under the action of its own weight and external load is as follows:

[0031] By calculating the deformation error of the grid under its own weight and external loads, the performance and stability of the structure can be comprehensively evaluated. This calculation can reveal the possible deformation of the structure under actual use conditions, thereby providing feedback for design optimization. In the formula, It represents the deformation error of the grid under the action of its own weight and external load. represents the original length of the material, represents the strain caused by the material's own weight, Indicates the strain caused by external loads on materials. It is obtained through strain gauges. Understanding deformation errors helps construction personnel make real-time adjustments during assembly, ensuring the safety and service performance of the structure under load and reducing potential safety hazards. The calculation formula for the overall assembly accuracy of the steel grid is as follows:

[0032] The calculation of overall assembly accuracy can fully reflect the assembly quality of the steel grid and ensure the coordination and overall stability of each component. High-precision assembly can effectively reduce the stress concentration of the structure, thereby improving the overall bearing capacity and seismic performance. In the formula, Indicates the overall assembly accuracy of the steel grid. represents the number of monitoring points, Indicates The displacement difference of the monitoring points is represents a count subscript, For all monitoring points from arrive The squared sum of the deviations is It means taking the average of all the squared deviations, The square root sign means taking the square root of the average square value. Accurate assembly accuracy can also reduce the need for subsequent maintenance and repairs, extend the service life of the structure, and improve the economy and safety of the overall project. The calculation formula for the relative position deviation of steel grid assembly is as follows:

[0033] The calculation of relative position deviation of assembly can help the construction team identify the relative relationship between the components and timely discover and correct the deviation. This calculation is crucial to ensure the overall structural stability of the steel grid and avoid structural failure caused by improper component position. In the formula, Indicates the relative position deviation of the steel grid assembly, in meters. , , Indicates the coordinates of the first point of the steel grid assembly collected by the displacement sensor, , , Indicates the coordinates of the second point of the steel grid assembly collected by the displacement sensor. Accurate relative position control can also improve assembly efficiency, reduce manual adjustment time, and ensure the smooth progress of construction; The calculation formula for the steel grid assembly deviation angle is as follows:

[0034] The calculation of the assembly deviation angle can effectively identify the angle deviation between the components, thereby ensuring that the geometric shape of the structure meets the requirements of preventing structural distortion and uneven deformation, and ensuring the stability and resistance of the grid. In the formula, Indicates the angle deviation of steel grid assembly. , Indicates the two directions of the steel grid members, Representation vector and The cross product of It is equal to the product of the sine of the angle between two vectors and their modulus. Representation vector and The dot product of Represents the inverse tangent function, which is used to convert the tangent value into an angle. Timely correction of the assembly deviation angle helps to avoid stress concentration and potential safety hazards caused by improper angles, and ensure the reliability and durability of the entire structure. Through this precise control, the quality of engineering construction can be effectively improved, ensuring the safety and reliability of the project; S3, based on the difference between the actual coordinates and the design coordinates, the deformation error of the grid under the action of deadweight and external loads, the overall assembly accuracy of the steel grid, the relative position deviation of the steel grid assembly, and the steel grid assembly deviation angle are compared with the preset standard value. When it is found that the deviation exceeds the actual assembly construction range, the deviation correction signal is started to be transmitted to the steel grid assembly adjustment equipment to control and correct the steel grid assembly accuracy; The deviation correction signal generation conditions are as follows: When the difference between the actual coordinates and the design coordinates Greater than mm; When the deformation error of the grid under the action of its own weight and external load Greater than mm; When the overall assembly accuracy of the steel grid Greater than mm; When the relative position deviation of the steel grid assembly Greater than mm; When the steel grid assembly angle deviation Greater than Spend; in, , , , as well as Indicates the industry standard accuracy of steel grid assembly construction. , , , , ; Difference between actual coordinates and designed coordinates If it is greater than 3 mm, it is necessary to re-measure and adjust the component position; When the deformation error of the grid under the action of its own weight and external load Greater than If the load is less than 100 mm, a load assessment should be carried out to verify the stability and safety of the grid structure, and the structure should be reinforced or the load distribution should be adjusted if necessary; When the overall assembly accuracy of the steel grid Greater than mm, the assembly method needs to be checked and the components may need to be repositioned or adjusted; When the relative position deviation of the steel grid assembly Greater than Millimeters, it is necessary to identify whether specific components are installed incorrectly and adjust their positions if necessary to ensure consistency with the design drawings; When the steel grid assembly angle deviation Greater than Degrees may affect the performance of the overall structure and need to be corrected in time to avoid stress concentration due to assembly errors.

[0035] Embodiment 1: In this experiment, the design coordinates and actual coordinates of the following assembled components were collected through total station measurement: Design coordinates: , , ; Actual coordinates: , , ; Substitute the difference formula between the actual coordinates and the design coordinates for verification:

[0036] The above calculations show that the difference between the actual coordinates and the designed coordinates is less than 3, which means that there is no need to adjust the position of the assembled components; Embodiment 2: In this experiment, the design coordinates and actual coordinates of the following assembled components were collected through total station measurement: Design coordinates: , , ; Actual coordinates: , , ; Substitute the difference formula between the actual coordinates and the design coordinates for verification:

[0037] The above calculations show that the difference between the actual coordinates and the design coordinates is greater than 3, which means that the position of the assembly material components needs to be adjusted.

[0038] Through the application of the above method, assembly deviations can be discovered and corrected in time, and intelligent signals can be fed back to the assembly adjustment equipment to achieve automated precision control. Compared with traditional manual measurement, this method greatly reduces the impact of environmental factors on measurement accuracy, overcomes the limitations of static measurement, and provides real-time monitoring and correction capabilities, thereby reducing structural deformation and safety risks, and ensuring the overall construction quality and safety of the steel grid.

[0039] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for controlling the assembly construction accuracy of a large space steel grid based on real-time monitoring technology, characterized in that: The following steps are involved: S1, collect the support node coordinates, strain force data and material temperature data in the steel grid assembly process in real time through the total station, displacement sensor, strain gauge and temperature sensor, and transmit them to the data processing center through the wireless network; S2, the data processing center performs low-pass filtering on the transmitted strain force data and material temperature data, and calculates the stress of the steel grid material and the thermal expansion of the steel grid material after filtering. When the stress of the steel grid material and the thermal expansion of the steel grid material meet the assembly standard, the assembly error calculation and assembly accuracy calculation are performed, otherwise the communication information prompts the construction personnel to re-select the steel grid assembly material and return to S1 for data re-monitoring and analysis, wherein the error calculation includes the difference between the actual coordinates and the design coordinates and the deformation error of the grid under the action of its own weight and external load, and the accuracy calculation includes the overall assembly accuracy of the steel grid, the relative position deviation of the steel grid assembly, and the deviation angle of the steel grid assembly; S3. Based on the difference between the actual coordinates and the design coordinates, the deformation error of the grid under its own weight and external load, the overall assembly accuracy of the steel grid, the relative position deviation of the steel grid assembly, and the steel grid assembly deviation angle, a comparison is made with the preset standard value. When it is found that the deviation exceeds the actual assembly construction range, the deviation correction signal is started and transmitted to the steel grid assembly adjustment equipment to control and correct the steel grid assembly accuracy.

2. According to claim 1, a large space steel grid assembly construction accuracy control method based on real-time monitoring technology is characterized by: The formula for low-pass filtering the strain force data and material temperature data is as follows: In the formula, Indicates the current time The filtered output value of Indicates the current time The original input strain and temperature data values, Indicates the previous moment The filtered output value of Indicates the filter coefficient with a value range of 0-1.

3. According to claim 2, a large space steel grid assembly construction accuracy control method based on real-time monitoring technology is characterized by: The calculation formula of the steel grid material stress is as follows: In the formula, represents the material stress of the steel grid, Represents the force applied to the material, obtained by monitoring with strain gauges, Indicates the cross-sectional area of ​​the material, which is obtained by assembling material product parameters.

4. According to claim 3, a large space steel grid assembly construction accuracy control method based on real-time monitoring technology is characterized by: The calculation formula for thermal expansion of the steel grid material is as follows: In the formula, Indicates the thermal expansion of the steel grid material. Represents the thermal expansion coefficient of the steel grid material, which is a constant value of 0.

8. Indicates the first steel grid material temperature value within the acquisition period. It indicates the last steel grid material temperature value in the acquisition cycle, and is directly obtained through the temperature sensor. Indicates the original length of the material.

5. According to claim 4, a large space steel grid assembly construction accuracy control method based on real-time monitoring technology is characterized by: The calculation formula for the difference between the actual coordinates and the design coordinates is as follows: In the formula, Indicates the difference between the actual coordinates and the designed coordinates, , , Represents the actual coordinates collected by the displacement sensor Quantity, , , Represents the design coordinates Component, the formula means that the distance between the actual coordinates and the design coordinates is obtained by square rooting the difference between them.

6. A method for controlling the assembly construction accuracy of a large space steel grid based on real-time monitoring technology according to claim 5, characterized in that: The calculation formula for the deformation error of the grid under the action of its own weight and external load is as follows: In the formula, It represents the deformation error of the grid under the action of its own weight and external load. represents the original length of the material, represents the strain caused by the material's own weight, It represents the strain caused by external load on the material and is obtained by strain gauge.

7. A method for controlling the assembly construction accuracy of a large space steel grid based on real-time monitoring technology according to claim 6, characterized in that: The calculation formula for the overall assembly accuracy of the steel grid is as follows: In the formula, Indicates the overall assembly accuracy of the steel grid. represents the number of monitoring points, Indicates The displacement difference of the monitoring points is represents a counting subscript, For all monitoring points from arrive The squared sum of the deviations is It means taking the average of all the squared deviations, The square root sign means taking the square root of the square of the mean.

8. A method for controlling the assembly construction accuracy of a large space steel grid based on real-time monitoring technology according to claim 7, characterized in that: The calculation formula for the relative position deviation of the steel grid assembly is as follows: In the formula, Indicates the relative position deviation of the steel grid assembly, in meters. , , Indicates the coordinates of the first point of the steel grid assembly collected by the displacement sensor, , , Indicates the position coordinates of the second point of the steel grid assembly collected by the displacement sensor.

9. A method for controlling the assembly construction accuracy of a large space steel grid based on real-time monitoring technology according to claim 8, characterized in that: The calculation formula of the steel grid assembly deviation angle is as follows: In the formula, Indicates the angle deviation of steel grid assembly. , Indicates the direction of the two intersections of the steel grid members. Representation vector and The cross product of It is equal to the product of the sine of the angle between two vectors and their modulus. Representation vector and The dot product of Represents the inverse tangent function, which is used to convert the tangent value to an angle.

10. A method for controlling the assembly construction accuracy of a large space steel grid based on real-time monitoring technology according to claim 9, characterized in that: The deviation correction signal generation conditions are as follows: When the difference between the actual coordinates and the design coordinates Greater than mm; When the deformation error of the grid under the action of its own weight and external load Greater than mm; When the overall assembly accuracy of the steel grid Greater than mm; When the relative position deviation of the steel grid assembly Greater than mm; When the steel grid assembly angle deviation Greater than Spend; in, , , , as well as Indicates the industry standard accuracy of steel grid assembly construction. , , , , ; When any of the above-mentioned out-of-range conditions occurs, a deviation correction signal is generated.

Images