A wind environment evaluation method with data induction module

Abstract

The present application relates to the technical field of wind environment detection, in particular to a wind environment evaluation method with a data induction module, comprising the following steps: first, selecting a target; second, arranging test points; third, setting detection instruments; fourth, detecting wind speed; fifth, calculating height wind speed increment ratio; sixth, calculating actual wind height ratio; seventh, obtaining wind environment state according to wind speed difference; eighth, grading. The present application can evaluate the wind environment state of high-rise buildings at different heights by calculating wind speed difference to obtain high-rise building wind environment conditions, so as to make overall planning of the city according to the wind environment state of high-rise buildings at different heights.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wind environment detection, in particular to a wind environment evaluation method with a data induction module. BACKGROUND

[0002] The wind environment refers to the wind field formed after the outdoor natural wind is affected by the urban topography or natural topography. At present, the wind environment is mainly studied in the scientific field of architectural design and urban planning.

[0003] In the urban wind environment, the wind environment of high-rise buildings has always been a concern. Under natural conditions, wind speed tends to increase with height. For high-rise residences, the wind speed of the environment where the residence is located is often larger. As a whole, the layout of the city often has more or less influence on the wind environment of the buildings inside, which leads to different wind speeds at different heights of high-rise residential buildings from the wind speed under natural conditions, thereby affecting the living experience. Therefore, a wind environment evaluation method is needed to evaluate the wind speed in the wind environment at different heights of high-rise residential buildings, thereby assisting urban planning. SUMMARY

[0004] The purpose of the present application is to provide a wind environment evaluation method with a data induction module to solve the problems raised in the background art. To achieve the above purpose, the present application provides the following technical solution: a wind environment evaluation method with a data induction module, comprising the following steps:

[0005] Step 1, selecting a target, selecting several buildings in the city;

[0006] Step 2, arranging test points, selecting several wind speed test points from top to bottom on each selected building;

[0007] Step 3, setting up detection instruments, installing ultrasonic wind speed and direction detectors at the several wind speed test points;

[0008] Step 4, detecting wind speed, using the ultrasonic wind speed and direction detector to detect the wind speed at the several test points on the several buildings, obtaining detection data V, and transmitting the detection data to a computer;

[0009] Step 5, calculating the height wind speed increment ratio, calculating the height wind speed increment ratio, and calculating the height wind speed increment ratio according to the following formula: Gi = ΔV / ΔL, where Gi is the height wind speed increment ratio, ΔV is the wind speed difference value of each level, and ΔL is the distance between the wind speed test points;

[0010] The sixth step is to calculate the actual wind height ratio, the detection data are summarized by a computer, the detection data are sorted according to the height, and the wind height ratio is calculated by the computer according to the following formula: Ri=(V-3.4) / I ΔL, wherein Ri is the wind height ratio, V is the wind speed at the test point, I is the sorting value of the height at the test point, and ΔL is the interval between the wind speed test points.

[0011] The seventh step is to obtain the wind environment state according to the wind speed difference, and the wind speed difference is calculated according to the following formula: ΔM=Ri-Gi, wherein ΔM is the wind speed difference.

[0012] The eighth step is to sort, and the wind environment of the building at different heights is obtained by sorting a plurality of ΔM in the building, and the evaluation is completed.

[0013] Preferably, in the first step, the height of the building is not less than 40 m.

[0014] Preferably, in the second step, the interval ΔL between the wind speed test points is 3.3-4.3 m.

[0015] Preferably, in the third step, the ultrasonic wind speed and direction detector is connected to the computer.

[0016] Preferably, in the fourth step, the wind speed difference ΔV between two adjacent sorting points is 0.3 m / s.

[0017] Preferably, in the sixth step, the sorting rule is from low to high.

[0018] Preferably, in the seventh step, when ΔM is negative, the wind amount of the detection point is relatively soft, and the wind amount is much lower than the theoretical value; when ΔM is positive, the wind amount of the detection point is relatively strong, and the wind amount is higher than the theoretical value; when the wind amount is lower than the theoretical value, the wind environment is good; and when the wind amount is higher than the theoretical value, the wind environment is poor.

[0019] Preferably, in the eighth step, the sorting is performed according to the ΔM value from large to small.

[0020] Compared with the prior art, the present application has the following beneficial effects:

[0021] The present application can evaluate the wind environment of the high-rise building at different heights, so as to plan the city as a whole according to the wind environment of the high-rise building at different heights. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 The present application. DETAILED DESCRIPTION

[0023] Clearly, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0024] Please refer to Figure 1 The present application provides a technical solution: a wind environment evaluation method with a data induction module, comprising the following steps:

[0025] First step, selecting a target, selecting several buildings in the city;

[0026] Second step, arranging test points, selecting several wind speed test points from top to bottom on each selected building.

[0027] Third step, setting up detection instruments, installing ultrasonic wind speed and direction detection instruments at the several wind speed test points.

[0028] Fourth step, detecting wind speed, using the ultrasonic wind speed and direction detection instruments to detect the wind speed of the several test points on the several buildings, obtaining detection data V, and transmitting the detection data to the computer.

[0029] Fifth step, calculating the height wind speed increment ratio, calculating the height wind speed increment ratio, and calculating the height wind speed increment ratio according to the following formula: Gi = ΔV / ΔL, wherein Gi is the height wind speed increment ratio, ΔV is the wind speed difference of each level, and ΔL is the spacing between the wind speed test points.

[0030] Sixth step, calculating the actual wind height ratio, inducing the detection data by the computer, sorting the detection data according to the height, and calculating the wind height ratio by the computer according to the following formula: Ri = (V-3.4) / IΔL, wherein Ri is the wind height ratio, V is the wind speed at the test point, I is the height sorting value at the test point, and ΔL is the spacing between the wind speed test points.

[0031] Seventh step, obtaining the wind environment state according to the wind speed difference, calculating according to the following formula: ΔM = Ri-Gi, wherein ΔM is the wind speed difference

[0032] Eighth step, grading, sorting the several ΔM in the building, obtaining the wind environment situation of the building at different heights, and completing the evaluation.

[0033] In the first step of the embodiment, the building height is not less than 40m.

[0034] In the second step of the embodiment, the spacing range ΔL between the wind speed test points is 3.3-4.3m.

[0035] In the third step of the embodiment, the ultrasonic wind speed and direction detector is connected to the computer.

[0036] In the fourth step of the embodiment, the wind speed difference AV between two adjacent ranks is 0.3 m / s.

[0037] In the sixth step of the embodiment, the ranking rule is from low to high.

[0038] In the seventh step of the embodiment, when AM is negative, the air volume at the detection point is relatively soft, and the air volume is much lower than the theoretical value. When AM is positive, the air volume at the detection point is relatively strong, and the air volume is higher than the theoretical value. When the air volume is lower than the theoretical value, it indicates that the wind environment at the point is good. When the air volume is higher than the theoretical value, it indicates that the wind environment at the point is poor.

[0039] In the eighth step of the embodiment, when ranking, the values are ranked from large to small according to the value of AM.

[0040] In the embodiment, the ultrasonic wind speed and direction detector is set at several heights on the high-rise building, and the results are as follows:

[0041] The data measured by the third and fifth ultrasonic wind speed and direction detectors from top to bottom are calculated as follows:

[0042] AV is 0.3 m / s, and AL is 3.3 m

[0043] I ΔV ΔL H V Gi Ri ΔM 5 0.3 3.3 16.5 5.2 0.09 0.109 0.109 3 0.3 3.3 9.9 3.2 0.09 -0.02 -0.11

[0044] In the table, I is the height ranking value of the test point, AV is the wind speed difference of each level, AL is the distance between the wind speed test points, H is the height of the test point, V is the wind speed detected by the ultrasonic wind speed and direction detector, Gi is the height wind speed increment ratio, Ri is the wind height ratio, and AM is the wind speed difference.

[0045] From the above table, it can be calculated that the test point at a height of 16.5 m has a ranking value of 5, and the AM wind speed difference is positive. The wind speed at this point is greater than the theoretical value of the natural wind speed at this point, so the wind speed in the wind environment is fast, and the wind environment is not good, which is classified as not good. Conversely, the test point at a height of 9.9 m has a ranking value of 3, and the AM wind speed difference is negative. The wind speed at this point is less than the theoretical value of the natural wind speed at this point, so the wind speed in the wind environment is slow, and the wind environment is good, which is classified as good.

[0046] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above-mentioned embodiments, and the above-mentioned embodiments and descriptions in the specification are only preferred examples of the present application and are not intended to limit the present application. Various changes and improvements can be made to the present application without departing from the spirit and scope of the present application, and such changes and improvements are all within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A wind environment evaluation method having a data induction module, characterized by: It comprises the following steps: The first step, selecting the target, selecting several buildings in the city; The second step, arranging the test points, selecting several wind speed test points from top to bottom on each selected building; The third step, setting the detection instrument, installing the ultrasonic wind speed and direction detector at the several wind speed test points; The fourth step, detecting the wind speed, using the ultrasonic wind speed and direction detector to detect the wind speed of the several test points on the several buildings, obtaining the wind speed of the test points, and transmitting the detection data to the computer; The fifth step, calculating the height wind speed increment ratio, calculating the height wind speed increment ratio, and calculating the height wind speed increment ratio according to the following formula: Gi=ΔV / ΔL, wherein: Gi is the height wind speed increment ratio, ΔV is the wind speed difference of each level, and ΔL is the interval between the wind speed test points; The sixth step, calculating the actual wind height ratio, the computer summarizes the detection data, sorts the detection data according to the height, and calculates the wind height ratio through the computer, and calculates and analyzes according to the following formula: Ri=(V-3.4) / IΔL, wherein: Ri is the wind height ratio, V is the wind speed of the test point, I is the height sorting value of the test point, and ΔL is the interval between the wind speed test points; The seventh step, obtaining the wind environment state according to the wind speed difference, calculating according to the following formula, ΔM=Ri-Gi, ΔM is the wind speed difference; The eighth step, grading, sorting the several ΔM in the building, obtaining the wind environment of the building at different heights, and completing the evaluation.

2. The wind environment evaluation method with data induction module according to claim 1, characterized in that: In the first step, the building height is not less than 40m.

3. The wind environment evaluation method with data induction module according to claim 1, characterized in that: In the second step, the interval between the wind speed test points ΔL ranges from 3.3-4.3m.

4. The wind environment evaluation method with data induction module according to claim 1, characterized in that: In the third step, the ultrasonic wind speed and direction detector is connected with the computer.

5. The wind environment evaluation method with data induction module according to claim 1, characterized in that: In the fourth step, the wind speed difference ΔV between the adjacent two sorting is 0.3m / s.

6. The wind environment evaluation method with data induction module according to claim 1, characterized in that: In the sixth step, the sorting rule is from low to high.

7. The wind environment evaluation method with data induction module according to claim 1, characterized in that: In the seventh step, when ΔM is negative, the wind quantity of the test point is relatively soft, and the wind quantity is much lower than the theoretical value, when ΔM is positive, the wind quantity of the test point is relatively strong, and the wind quantity is higher than the theoretical value, when the wind quantity is lower than the theoretical value, it indicates that the wind environment is good, and when the wind environment is higher than the theoretical value, it indicates that the wind environment is bad.

8. The wind environment evaluation method with data induction module according to claim 1, characterized in that: In the eighth step, when sorting, according to the ΔM value from large to small.

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