Early warning method for inclination of tall building based on fuzzy evaluation
A technology of fuzzy evaluation and construction, applied in fuzzy logic-based systems, measuring inclination, pulse technology, etc., can solve the problem that the output results deviate from the actual value, the accuracy of the inclination sensor decreases, and the initial installation of the inclination sensor is not considered. Angle, real-time temperature and other issues, to achieve the effect of improving detection accuracy, wide range of use, and broad application prospects
Active Publication Date: 2021-06-01
INTELLIGENT MFG INST OF HFUT +1
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Problems solved by technology
[0003] The traditional method of inclination monitoring is to install the inclination sensor to output the results, but this method does not take into account the installation position of the inclination sensor, the initial installation angle of the inclination sensor, and the influence of real-time temperature on the inclination sensor. When the temperature is too high or too low, the inclination sensor Decreased precision, causing the output to deviate from the actual value
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[0051] In this embodiment, a method for early warning of tall building tilt based on fuzzy evaluation includes the following steps:
[0052] Step 1: Obtain the real-time measurement results of each inclination sensor;
[0053] The inclination sensor can sense the change of the angle and then send the corresponding voltage value. By comparing with the reference voltage value of 1.65V, the acceleration of the X, Y, and Z axes can be obtained:
[0054]
[0055]In formula (1), V x V y are the voltage values output by the inclination sensor respectively, and 0.65 is the sensitivity coefficient, because a x a y is the component of the acceleration of gravity g on the X, Y, and Z axes of the inclination sensor, and the inclination angle can be calculated accordingly:
[0056]
[0057]
[0058] alpha j beta j are the inclination angles in the X and Y directions respectively, and θ is the output inclination angle result of the inclination sensor, then the output resu...
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The invention discloses an early warning method for inclination of a tall building based on fuzzy evaluation, which comprises the following steps of: firstly, installing inclination angle sensors at different positions of a building, and extracting the inclination angle of each inclination angle sensor; then, according to the installation position, the initial installation angle and the real-time temperature of each inclination angle sensor, determining the fuzzy confidence degree of each inclination angle by adopting a fuzzy set theory, and obtaining the final inclination angle of the whole building through weighted filtering of the fuzzy confidence degree; and finally, establishing a linear fitting equation, and judging the stability state of the building according to the tangent angle of the processed accumulated inclination angle time sequence data. The method can be widely applied to monitoring of inclination deformation of power transmission line iron towers and tall buildings, and has a wide application prospect.
Description
technical field [0001] Specifically, the invention is a fuzzy judgment-based early warning method for tall building tilt. Background technique [0002] With the continuous development of modern society, the number of super high-rise buildings continues to increase, and the safety hazards caused by building inclinations are also increasingly valued, and building inclination monitoring data plays a key reference role in building inclination monitoring. [0003] The traditional method of inclination monitoring is to install the inclination sensor to output the results, but this method does not take into account the installation position of the inclination sensor, the initial installation angle of the inclination sensor, and the influence of real-time temperature on the inclination sensor. When the temperature is too high or too low, the inclination sensor The accuracy drops, causing the output result to deviate from the actual value. [0004] The output tilt angle of the tilt ...
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Login to View More IPC IPC(8): G06Q10/06G06Q50/08G06F17/12G06N7/02G01C9/00
CPCG06Q10/06393G06Q50/08G06F17/12G06N7/02G01C9/00
Inventor 夏娜王聪朱馨妍朱辛旋申逸骋邹丽高淑珍
Owner INTELLIGENT MFG INST OF HFUT