City high-density wind environment simulation wind tunnel system based on intelligent interactive platform

Abstract

The invention relates to a city high-density wind environment simulation wind tunnel system based on an intelligent interactive platform. The tunnel system is formed by a stabilization section, a contraction section, an experiment section, an expansion section and a fan section, which are connected in sequence. The stabilization section is formed by a first cavity wall and a rectification device embedded in the first cavity wall; the contraction section is formed by a second cavity wall; the experiment section is formed by a third cavity wall, a disk device, an opening observation door device, a simulation measurement device and a material box, wherein the disk device is arranged to the inner bottom portion of the third cavity wall; the opening observation door device is arranged to the side wall of the third cavity wall; the material box and the simulation measurement device are arranged in the third cavity wall; the expansion section is formed by a fourth cavity wall; and the fan section is formed by a fifth cavity wall, a fan device and a fan section rectifying device. Under the precondition of guaranteeing required precision of the experiment, occupied volume of the wind tunnel experiment is greatly reduced; the wind tunnel system is clear in structure and small in size, and can be disassembled, transported and assembled according to functions; and by means of the intelligent platform, the wind tunnel system realizes seamless butt joint with modeling modules frequently-used in building design, and the measurement data is directly applied to the modeling process through the wind tunnel system.

Description

technical field [0001] The invention is mainly applied in the field of architectural digital design, and is specifically a wind tunnel system for simulating urban high-density wind environment based on an intelligent interactive platform. Background technique [0002] At present, the existing wind tunnel system is mainly used in large-scale industrial fields, such as aerospace testing, automotive industry testing, building structure testing, etc. The part of the test is huge, so the corresponding size of the wind tunnel system that provides the experimental environment is huge; at the same time, the wind tunnel The accuracy of the results provided by the experiment is extremely high, and there are extremely high requirements on the site and cost of the experimental measuring instruments and the entire wind tunnel system, so wind tunnel experiments are not popular. In addition, with the development of building digitalization and the development of performance-based buildings,...

AI Technical Summary

Problems solved by technology

[0002] At present, the existing wind tunnel system is mainly used in large-scale industrial fields, such as aerospace testing, automotive industry testing, building structure testing, etc. The part of the test is huge, so the corresponding size of the wind tunnel system that provides the experimental environment is huge; at the same time, the wind tunnel The accuracy of the results provided by the experiment is extremely high, and there are extremely high requirements for the site and cost of the experimental measuring instruments and the entire wind tunnel system, so wind tunnel experiments are not popular

In addition, with the development of building digitalization and the development of performance-based buildings, the preparation time of traditional wind tunnel experiments is long, and the preparation process is complicated, which cannot meet the rapid deduction in the early stage of architectural design. At the same time, the test results of traditional wind tunnels cannot be directly output to Architectural design digital software is thus connected with other design phases, requiring a wind tunnel system based on an intelligent platform for high-density urban wind environment research

[0003] Generally speaking, the current existing wind tunnel systems have the following shortcomings: (1) The equipment occupies a large area and cannot be transported and moved; (2) The measurement results cannot be directly output to the building modeling software; (3) The single The preparation cycle for the first experiment is long and the preparation process is complicated; (4) The cost of experimental equipment and experimental labor is high; (5) The experiment cannot quickly get feedback results in the initial design stage of the building

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