Visibility measuring method, device, computer equipment and storage medium

文档序号:1323077 发布日期:2020-07-14 浏览:40次 中文

阅读说明:本技术 能见度测量方法、装置、计算机设备及存储介质 (Visibility measuring method, device, computer equipment and storage medium ) 是由 周康明 吴昊 于 2020-04-13 设计创作,主要内容包括:本申请公开了一种能见度测量方法、装置、计算机设备及存储介质,涉及大气探测技术领域。该能见度测量方法包括获取目标区域的大气参数,所述大气参数包括所述目标区域的气溶胶质量浓度、所述目标区域的风速和所述目标区域的大气相对湿度;获取预先构建的能见度分析模型;将所述大气参数输入5至所述能见度分析模型中,得到所述能见度分析模型输出的所述目标区域的大气能见度。本实施例可以灵活地获得大气能见度,并且成本更低。(The application discloses a visibility measuring method, a visibility measuring device, computer equipment and a storage medium, and relates to the technical field of atmospheric detection. The visibility measuring method comprises the steps of obtaining atmospheric parameters of a target area, wherein the atmospheric parameters comprise aerosol mass concentration of the target area, wind speed of the target area and atmospheric relative humidity of the target area; obtaining a visibility analysis model constructed in advance; and inputting 5 the atmospheric parameters into the visibility analysis model to obtain the atmospheric visibility of the target area output by the visibility analysis model. The embodiment can flexibly obtain atmospheric visibility and has lower cost.)

1. A visibility measuring method, characterized in that the method comprises:

acquiring atmospheric parameters of a target area, wherein the atmospheric parameters comprise aerosol mass concentration of the target area, wind speed of the target area and atmospheric relative humidity of the target area;

obtaining a visibility analysis model constructed in advance;

and inputting the atmospheric parameters into the visibility analysis model to obtain the atmospheric visibility of the target area output by the visibility analysis model.

2. The method according to claim 1, wherein the visibility analysis model is provided in a plurality, and each visibility analysis model corresponds to a different atmospheric relative humidity interval; the inputting the atmospheric parameters into the visibility analysis model of 10, comprising:

acquiring an atmospheric humidity interval where the atmospheric relative humidity of the target area is located;

determining a target visibility analysis model from the visibility analysis models according to an atmospheric humidity interval in which the atmospheric relative humidity of the target area is located;

and inputting the atmospheric parameters into the target visibility analysis model.

3. The method according to claim 1 or 2, wherein before said obtaining a pre-constructed visibility analysis model, the method further comprises:

obtaining a sample set, wherein the sample set comprises a plurality of samples, each sample comprises to-be-fitted atmospheric parameters and real visibility corresponding to each to-be-fitted atmospheric parameter, and the to-be-fitted atmospheric parameters comprise to-be-fitted aerosol mass concentration, to-be-fitted wind speed and to-be-fitted atmospheric relative humidity;

and performing fitting analysis on the samples in the sample set, and constructing the visibility analysis model through the fitting analysis.

4. The method as claimed in claim 3, wherein said performing fitting analysis on samples 25 in said sample set, and said constructing said visibility analysis model by said fitting analysis, comprises:

dividing the sample set into a plurality of sample subsets according to the relative humidity of the atmosphere to be fitted in the samples, wherein each sample subset comprises a plurality of samples, and the relative humidity intervals of the atmosphere to be fitted in the samples in each sample subset are the same;

and performing fitting analysis on the samples in each sample subset, and constructing a plurality of visibility analysis models which correspond to the plurality of sample subsets one by one through the fitting analysis.

5. The method of claim 3, wherein obtaining the sample set comprises:

obtaining an initial sample set comprising a plurality of initial samples, the initial samples comprising initial atmospheric parameters including initial aerosol mass concentration, initial wind speed, and initial atmospheric relative humidity;

and removing abnormal initial samples in the initial sample set to obtain a removed initial sample set, and acquiring the sample set according to the removed initial sample set.

6. The method of claim 5, wherein obtaining the sample set from the culling processed initial sample set comprises:

acquiring the sampling place and the sampling time of each initial sample in the initial sample set after the elimination processing;

for each initial sample in the initial sample set after the removing processing, determining the real visibility corresponding to the initial sample in a visibility data set collected from a meteorological station according to the sampling place and the sampling time;

and acquiring the sample set based on the initial samples in the initial sample set after the elimination processing and the real visibility corresponding to the initial samples.

7. The method of claim 1, wherein the aerosol mass concentration comprises a PM0.1 concentration, a PM2.5 concentration, and a PM10 concentration.

8. A visibility measuring device, characterized in that the device comprises:

the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring atmospheric parameters of a target area, and the atmospheric parameters comprise aerosol mass concentration of the target area, wind speed of the target area and atmospheric relative humidity of the target area;

the second acquisition module is used for acquiring a visibility analysis model which is constructed in advance;

and the measuring module is used for inputting the atmospheric parameters into the visibility analysis model to obtain the atmospheric visibility of the target area output by the visibility analysis model.

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.

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