CN112001023A - Method for analyzing light reflection pollution safety degree of glass curtain wall - Google Patents
Method for analyzing light reflection pollution safety degree of glass curtain wall Download PDFInfo
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Abstract
The invention provides a method for analyzing the light reflection pollution safety degree of a glass curtain wall, which comprises the following steps: s1, establishing a cloud IOT big data item; s2, importing background data of the cloud IOT big data project building; s21, establishing a big data analysis method of the corresponding item; s22, performing curtain wall light reflection safety analysis aiming at the project background; s3, comprehensively calculating the safety of the curtain wall by using a big data analysis method; and S4, obtaining a calculation result and outputting the calculation result to a visualization end. The system helps continuously pay attention to the phenomenon of light pollution of the glass curtain wall, and objectively analyzes the safety of the current building light environment on the basis of big data and visually outputs the safety, so that the development is beneficial to work and life, the eyesight is protected, and the labor productivity is improved.
Description
Technical Field
The invention relates to a method for analyzing the light reflection pollution safety degree of a glass curtain wall.
Background
In the process of applying cloud computing and big data to enterprises, the application of the technology of the internet of things is becoming more and more urgent. Taking the manufacturing industry as an example, the application of the Internet of things can help enterprises to know the conditions of each production and manufacturing link more timely and accurately so as to carry out big data analysis; in the government affairs field, the application of thing networking lets the falling to the ground of wisdom city also more step, and wherein in intelligent transportation's the application, terminal equipment's data acquisition can let city manager know the real-time traffic situation better.
The application of the Internet of things promotes the acquisition efficiency and the quantity of data, the big data is focused on the value of the released data, and the continuous increase of the mass data puts new requirements on the underlying cloud computing. In the application closed loop, the internet of things, big data and cloud computing are mutually promoted and alternately developed.
The cloud computing provides mass data storage and computing capacity for the Internet of things, and different Internet of things devices can realize better cooperation through a huge network; the Internet of things enables application scenes of cloud computing to be richer, and a large amount of generated data urge application of a big data technology, so that data value mining is further promoted.
Disclosure of Invention
The invention aims to provide a method for analyzing the light reflection pollution safety degree of a glass curtain wall.
In order to solve the above problems, the present invention provides a method for analyzing the light reflection pollution safety degree of a glass curtain wall, comprising:
s1, establishing a cloud I0T big data item;
s2, importing background data of the cloud IOT big data project building into the cloud IOT big data project;
s21, establishing a corresponding big data analysis method based on the background data;
s3, comprehensively calculating the safety of the curtain wall by applying the big data analysis method to obtain a calculation result;
and S4, outputting the calculation to a visualization end.
Further, in the above method, S21, the method for establishing the corresponding big data analysis based on the context includes:
s211, establishing a literature comparison data analysis method;
s212, establishing a model scheme prediction analysis method;
s213, establishing a building actual measurement analysis method;
s214, establishing a human eye sensory verification method.
Further, in the above method, while the method of establishing the corresponding big data analysis based on the background information is performed in S21, the method further includes:
and S22, performing curtain wall light reflection safety analysis aiming at the background of the cloud IOT big data project.
Further, in the above method, S3, the method of analyzing the big data is used to perform comprehensive calculation on the curtain wall security to obtain a calculation result, including:
the method for analyzing the big data and the curtain wall light reflection safety analysis are applied to comprehensively calculate the safety of the curtain wall to obtain a calculation result
Further, in the above method, in S22, performing curtain wall light reflection security analysis on the background of the cloud IOT big data item, the method includes:
s221, analyzing the correlation between the influence time and the reflected light feeling;
s222, analyzing distance attenuation and influence factors influenced by the reflected light;
and S223, analyzing the influence factors of the reflected light of the curved reflecting surface.
Further, in the above method, S1, creating a cloud IOT big data item, including:
and establishing information of a total building and a shelter by using IOT software, and establishing a cloud IOT big data project.
Further, in the method, in step S2, importing the background data of the cloud IOT big data project building into the cloud IOT big data project, where the importing includes:
and importing background data of the cloud IOT big data project building, which comprises building house type function division and determination of the using function and lighting parameter of each building, into the cloud IOT big data project.
Compared with the prior art, the method comprises the following steps: s1, establishing a cloud IOT big data item; s2, importing background data of the cloud IOT big data project building; s21, establishing a big data analysis method of the corresponding item; s211, establishing a literature comparison data analysis method; s212, establishing a model scheme prediction analysis method; s212, building an actual measurement analysis method; s213, establishing a human eye sensory verification method; s22, performing curtain wall light reflection safety analysis aiming at the project background; s221, analyzing the correlation between the influence time and the reflected light feeling; s222, analyzing distance attenuation and influence factors influenced by the reflected light; s223, analyzing influence factors of the reflected light of the curved surface reflecting surface; s3, comprehensively calculating the safety of the curtain wall by using a big data analysis method; and S4, obtaining a calculation result and outputting the calculation result to a visualization end. The system helps continuously pay attention to the phenomenon of light pollution of the glass curtain wall, and objectively analyzes the safety of the current building light environment on the basis of big data and visually outputs the safety, so that the development is beneficial to work and life, the eyesight is protected, and the labor productivity is improved.
Drawings
Fig. 1 is a flow chart of a method for analyzing the light reflection pollution safety degree of a glass curtain wall according to an embodiment of the invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1, the present invention provides a method for analyzing the safety level of light reflection contamination of a glass curtain wall, comprising:
s1, establishing a cloud IOT big data project;
s2, importing background data of the cloud IOT big data project building into the cloud IOT big data project;
s21, establishing a corresponding big data analysis method based on the background data;
s3, comprehensively calculating the safety of the curtain wall by applying the big data analysis method to obtain a calculation result;
and S4, outputting the calculation to a visualization end.
The invention can help to continuously pay attention to the phenomenon of light pollution of the glass curtain wall, and objectively analyze the safety of the current building light environment on the basis of big data and visually output the safety, thereby developing the glass curtain wall light environment which is beneficial to work and life, protecting eyesight and improving labor productivity. The problem that the 3.0 information era fused by cloud, big data and IOT in the field of building glass curtain wall light safety evaluation is inevitably developed vigorously by integration and utilization in the prior art, and then household lighting analysis design is solved. The design of home decoration is facilitated, natural light is fully utilized, and a good light environment is created, so that work and life are facilitated, eyesight is protected, and labor productivity is improved.
In an embodiment of the method for analyzing the safety level of light reflection pollution of a glass curtain wall, S21 is a method for establishing corresponding big data analysis based on the background data, and the method includes:
s211, establishing a literature comparison data analysis method;
s212, establishing a model scheme prediction analysis method;
s213, establishing a building actual measurement analysis method;
s214, establishing a human eye sensory verification method.
In an embodiment of the method for analyzing the safety level of light reflection pollution of a glass curtain wall, S21, the method for establishing a corresponding big data analysis based on the background data further includes:
and S22, performing curtain wall light reflection safety analysis aiming at the background of the cloud IOT big data project.
In an embodiment of the method for analyzing the light reflection pollution safety degree of the glass curtain wall, in the step S3, the method for analyzing the big data is used for comprehensively calculating the safety of the curtain wall to obtain a calculation result, and the method comprises the following steps:
the method for analyzing the big data and the curtain wall light reflection safety analysis are applied to comprehensively calculate the safety of the curtain wall to obtain a calculation result
In an embodiment of the method for analyzing the safety degree of light reflection pollution of the glass curtain wall, S22, the method for analyzing the safety degree of light reflection of the curtain wall against the background of the cloud IOT big data item includes:
s221, analyzing the correlation between the influence time and the reflected light feeling;
s222, analyzing distance attenuation and influence factors influenced by the reflected light;
and S223, analyzing the influence factors of the reflected light of the curved reflecting surface.
In an embodiment of the method for analyzing the safety degree of light reflection pollution of the glass curtain wall, S1, establishing a cloud IOT big data item, includes:
and establishing information of a total building and a shelter by using IOT software, and establishing a cloud IOT big data project.
In an embodiment of the method for analyzing the light reflection pollution safety degree of the glass curtain wall, S2 introduces the background data of the cloud IOT big data project building into the cloud IOT big data project, including:
and importing background data of the cloud IOT big data project building, which comprises building house type function division and determination of the using function and lighting parameter of each building, into the cloud IOT big data project.
After the technical scheme is adopted, the invention has the beneficial effects that: the method comprises the steps of establishing a cloud IOT big data item, establishing a big data analysis method of a corresponding item by importing background data of a cloud IOT big data item building, performing curtain wall light reflection safety analysis and calculation aiming at the item background by utilizing four established methods such as a document comparison data analysis method, a model scheme prediction analysis method, a building actual measurement analysis method, a human eye sensory verification method and the like, and simultaneously considering correlation analysis aiming at influence time and reflected light feeling, distance attenuation and influence factor analysis aiming at reflected light influence and analysis aiming at reflected light influence factor of a curved surface reflecting surface so as to comprehensively calculate the curtain wall safety by utilizing a big data analysis method. And finally, obtaining a calculation result and outputting the calculation result to a visualization end.
The method comprises the steps of establishing a cloud IOT big data project, importing background data of a cloud IOT big data project building, establishing a big data analysis method of a corresponding project, simultaneously performing curtain wall light reflection safety analysis and calculation aiming at the project background by utilizing four established methods, namely a literature comparison data analysis method, a model scheme prediction analysis method, a building actual measurement analysis method, a human eye sensory verification method and the like, and simultaneously considering correlation analysis aiming at influence time and reflected light feeling, distance attenuation and influence factor analysis aiming at reflected light influence, analysis aiming at reflected light influence factor of a curved surface reflecting surface, and further performing comprehensive calculation on the curtain wall safety by utilizing a big data analysis method. And finally, obtaining a calculation result and outputting the calculation result to a visualization end. The method aims to comprehensively consider the cloud, big data and IOT to carry out deep fusion in the current 3.0 information era caused by the cloud, big data and IOT in the field of building glass curtain wall light safety evaluation, so that an efficient and intelligent large building glass curtain wall light reflection pollution safety degree analysis program is provided.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (7)
1. A method for analyzing the light reflection pollution safety degree of a glass curtain wall is characterized by comprising the following steps:
s1, establishing a cloud IOT big data project;
s2, importing background data of the cloud IOT big data project building into the cloud IOT big data project;
s21, establishing a corresponding big data analysis method based on the background data;
s3, comprehensively calculating the safety of the curtain wall by applying the big data analysis method to obtain a calculation result;
and S4, outputting the calculation to a visualization end.
2. The method for analyzing the safety degree of light reflection pollution of a glass curtain wall as claimed in claim 1, wherein the step of S21, based on the background data, comprises the steps of:
s211, establishing a literature comparison data analysis method;
s212, establishing a model scheme prediction analysis method;
s213, establishing a building actual measurement analysis method;
s214, establishing a human eye sensory verification method.
3. The method for analyzing the safety degree of light reflection contamination of a glass curtain wall as claimed in claim 1, wherein the step S21, while establishing the corresponding big data analysis method based on the background data, further comprises:
and S22, performing curtain wall light reflection safety analysis aiming at the background of the cloud IOT big data project.
4. The method for analyzing the safety degree of light reflection pollution of the glass curtain wall as claimed in claim 3, wherein S3, the method for analyzing the big data is used for comprehensively calculating the safety of the curtain wall to obtain a calculation result, and the method comprises the following steps:
and comprehensively calculating the safety of the curtain wall by applying the big data analysis method and the curtain wall light reflection safety analysis to obtain a calculation result.
5. The method for analyzing the safety degree of the light reflection pollution of the glass curtain wall as claimed in claim 3, wherein the step of S22, performing the safety analysis of the light reflection of the curtain wall aiming at the background of the cloud IOT big data item, comprises the following steps:
s221, analyzing the correlation between the influence time and the reflected light feeling;
s222, analyzing distance attenuation and influence factors influenced by the reflected light;
and S223, analyzing the influence factors of the reflected light of the curved reflecting surface.
6. The method for analyzing the safety degree of light reflection pollution of the glass curtain wall as claimed in claim 1, wherein the step of S1, establishing a cloud IOT big data item comprises:
and establishing information of a total building and a shelter by using IOT software, and establishing a cloud IOT big data project.
7. The method for analyzing the safety degree of light reflection pollution of the glass curtain wall as claimed in claim 1, wherein the step of importing the background data of the cloud IOT big data project building into the cloud IOT big data project S2 comprises the following steps:
and importing background data of the cloud IOT big data project building, which comprises building house type function division and determination of the using function and lighting parameter of each building, into the cloud IOT big data project.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150234945A1 (en) * | 2014-02-18 | 2015-08-20 | Sefaira, Inc. | Real-time spatial daylighting analysis for a 3d geometric structure |
| CN106951609A (en) * | 2017-03-06 | 2017-07-14 | 华东师范大学 | A kind of visual building glass curtain wall light reflections affect analysis method |
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- 2020-08-28 CN CN202010892025.2A patent/CN112001023B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150234945A1 (en) * | 2014-02-18 | 2015-08-20 | Sefaira, Inc. | Real-time spatial daylighting analysis for a 3d geometric structure |
| CN106951609A (en) * | 2017-03-06 | 2017-07-14 | 华东师范大学 | A kind of visual building glass curtain wall light reflections affect analysis method |
Non-Patent Citations (2)
| Title |
|---|
| 李俊生;: "上海市建筑玻璃幕墙光反射影响工程案例分析", 环境与发展, no. 06 * |
| 李爱梅;谈骏杰;: "Ecotect在建筑玻璃幕墙光反射影响评价中的应用研究", 环境科学与管理, no. 05 * |
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