CN112966448A - Indoor environment satisfaction degree acquisition and analysis method and device - Google Patents
Indoor environment satisfaction degree acquisition and analysis method and device Download PDFInfo
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Abstract
A method for acquiring and analyzing indoor environment satisfaction comprises the steps of setting monitoring points in a building functional area and acquiring indoor parameters of a building; acquiring satisfaction data of personnel near the monitoring point location to the environment through an acquisition device; matching the personnel satisfaction with the corresponding indoor parameters of the building to form sample data; screening and summarizing samples, and then establishing a sample set; and (5) calculating the satisfaction by adopting a supervised learning algorithm, and establishing an analysis model. The building indoor parameters are obtained through a sensor, a weather forecast and/or a BIM model.
Description
Technical Field
The invention belongs to the technical field of green buildings, and particularly relates to a method and a device for acquiring and analyzing indoor environment satisfaction.
Background
The judgment of the satisfaction degree of the personnel on the indoor environment mainly comes from four aspects: hot and humid environment, air quality, light environment, acoustic environment.
The collection of the satisfaction of the personnel can obtain the intuitive feeling of the personnel to the indoor environment, the satisfaction of the indoor environment is analyzed, the rough condition of the satisfaction of the personnel in the current environment can be judged through historical data, and a basis is provided for automatic regulation and control.
With the continuous development of the smart home technology, people are no longer satisfied with frequently regulating and controlling indoor equipment or controlling equipment through quantitative setting. Therefore, fuzzy control based on personnel satisfaction acquisition and analysis is receiving increasing attention.
For the acquisition of the satisfaction degree of people, a questionnaire method is mostly adopted, and due to the particularity of the content of the questionnaire, the experience of answering the questionnaire is not good, and the difficulty of issuing the questionnaire, under the scene of the real satisfaction degree acquisition, a large number of effective questionnaires are often difficult to obtain. And under the condition that the questionnaire quality cannot be guaranteed, simply analyzing the questionnaire to finally obtain only a distorted result.
Disclosure of Invention
The embodiment of the invention provides a method for acquiring and analyzing indoor environment satisfaction, which comprises the steps of setting monitoring point positions in a building functional area and acquiring indoor parameters of a building;
acquiring satisfaction data of personnel near the monitoring point location to the environment through an acquisition device;
matching the personnel satisfaction with the corresponding indoor parameters of the building to form sample data;
screening and summarizing samples, and then establishing a sample set;
and (5) calculating the satisfaction by adopting a supervised learning algorithm, and establishing an analysis model.
The invention discloses a method for objectively reflecting the satisfaction degree of personnel on the indoor environment through a collecting device, and a method for dynamically analyzing the satisfaction degree of the personnel on the indoor environment based on the collecting method and historical data.
Drawings
The above and other objects, features and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
fig. 1 is a flowchart of an indoor environment satisfaction degree acquisition and analysis method according to one embodiment of the present invention.
Fig. 2 is a schematic view of an acquisition device according to one embodiment of the present invention.
Fig. 3 is a schematic view of an acquisition device according to one embodiment of the invention.
Fig. 4 is a schematic view of an acquisition device according to one embodiment of the present invention.
Detailed Description
In accordance with one or more embodiments, as shown in FIG. 1. An indoor environment satisfaction degree collecting and analyzing method comprises the following steps:
setting monitoring points in a building functional area, and collecting indoor parameters of the building;
acquiring satisfaction data of personnel near the monitoring point location to the environment through an acquisition device;
matching the personnel satisfaction with the corresponding indoor parameters of the building to form sample data;
screening and summarizing samples, and then establishing a sample set;
and (5) calculating the satisfaction by adopting a supervised learning algorithm, and establishing an analysis model.
According to one or more embodiments, the method for collecting and analyzing the indoor environment satisfaction degree mainly comprises the following steps:
1) the satisfaction degree of the personnel on the indoor environment is collected through a 4-8 key device (shown in figures 2, 3 and 4) and through the selection of a 2-to-1 mode of the keys.
In the case of 4 keys, the expressions represented by the 4 keys can be labeled as: cold, hot, humidity, air quality;
also labeled as: hot and humid environment, light environment, air quality, acoustic environment;
also labeled as: cold, hot, air quality, and others.
In the case of the 6-bond, the expressions represented by the 6-bond can be respectively labeled as: cold, hot, bright, dark, air quality, humidity;
also labeled as: cold, hot, dry, wet, air quality, light environment;
also labeled as: cold, hot, light environment, air quality, acoustic environment, humidity.
In the case of 8 keys, the expressions represented by the 8 keys can be labeled as: cold, hot, dry, wet, bright, dark, air quality, acoustic environment.
If the content of freely setting the expression per key is provided, the selectable content may be provided as follows: cold, hot, dry, wet, bright, dark, air quality, acoustic, hot humid, light environment.
2) Static parameters are collected by sensors, weather forecasts, BIM, etc.
Static parameters were collected as much as possible, including the following parameter categories: time data (time of day, season), personnel data (sex, age, preference), space data (window opening orientation, distance from window, floor height, window-wall ratio, room type) where the personnel are located, material data (shading coefficient, equipment type, lighting type), indoor environment data (temperature, humidity, carbon dioxide concentration, PM2.5 concentration, TVOC concentration), outdoor environment data (temperature, humidity, PM2.5 concentration, solar radiation intensity, wind speed, weather conditions), and the like.
3) And (6) preprocessing sensor data.
And correcting the sensor data, including offset correction, regularizing according to a preset time interval, eliminating a drift value, marking a breakpoint and the like.
4) And binding the static parameters and the acquisition of the satisfaction degree through the monitoring points.
And recording various static parameter data at the same time to form a comprehensive data sample when the satisfaction data is acquired once.
5) And (4) screening and summarizing samples, and dividing training, testing and adherence sample sets.
The samples are unsatisfactory samples, and the satisfactory samples need to be automatically extracted at the moment of submitting no unsatisfactory samples, so that the number of the unsatisfactory samples is equal to that of the satisfactory samples. In addition, unsatisfactory samples submitted repeatedly by individuals need to be rejected.
Dividing the sample into a training sample set (more than or equal to 50 percent) and a testing sample set (more than or equal to 15 percent) participating in calculation and a persistent sample set (more than or equal to 15 percent) not participating in calculation.
6) And calculating the satisfaction by adopting a supervised learning algorithm to obtain a model.
And (3) calculating the satisfaction degree and acquiring a model by adopting supervised learning algorithms such as an artificial neural network, a random forest, a support vector machine and the like. After the model is obtained through calculation, the effectiveness of the model in testing the sample set reaches more than 85%, and the effectiveness in persisting the sample set reaches more than 70%.
7) And (5) updating the model.
When new samples accumulate for more than a month, or when the effectiveness of the old model decreases below 60%, the samples should be rescreened and the model updated.
The invention forms the satisfaction degree sample with static parameters by matching the indoor environment, the outdoor environment and the space data to the satisfaction degree of hardware acquisition personnel to the indoor environment, and has good experience and accurate analysis. Compared with the traditional calculation method, the method is suitable for analyzing the personnel satisfaction degree of the green building.
It should be noted that while the foregoing has described the spirit and principles of the invention with reference to several specific embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in these aspects cannot be combined. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (6)
1. A method for collecting and analyzing indoor environment satisfaction degree is characterized by comprising the following steps,
setting monitoring points in a building functional area, and collecting indoor parameters of the building;
acquiring satisfaction data of personnel near the monitoring point location to the environment through an acquisition device;
matching the personnel satisfaction with the corresponding indoor parameters of the building to form sample data;
screening and summarizing samples, and then establishing a sample set;
and (5) calculating the satisfaction by adopting a supervised learning algorithm, and establishing an analysis model.
2. The indoor environment satisfaction collecting and analyzing method of claim 1, wherein the building indoor parameters are obtained by sensors, weather forecast and/or BIM model.
3. The indoor environment satisfaction collection and analysis method of claim 2, wherein the sensor data is corrected, and the correction comprises offset correction, regularization according to a preset time interval, elimination of drift values and breakpoint marking.
4. The indoor environment satisfaction collecting and analyzing method of claim 1, wherein the sample is screened and summarized, training, inspection and adherence sample sets are divided,
the samples are unsatisfactory samples, and the satisfactory samples are automatically extracted at the moment of submitting no unsatisfactory samples, so that the number of the unsatisfactory samples is equal to that of the satisfactory samples;
dividing the sample into a training sample set (more than or equal to 50 percent) and a testing sample set (more than or equal to 15 percent) participating in calculation and a persistent sample set (more than or equal to 15 percent) not participating in calculation.
5. The indoor environment satisfaction collection analysis method of claim 1,
and calculating the satisfaction degree by using an artificial neural network, a random forest and/or a support vector machine supervised learning algorithm and acquiring a model.
6. An indoor environment satisfaction gathering device for use in the method of claim 1, wherein said gathering device comprises a plurality of keys having binary selections.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113268098A (en) * | 2021-06-23 | 2021-08-17 | 上海市建筑科学研究院有限公司 | Indoor environment regulation and control method and system |
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|---|---|---|---|---|
| CN202582608U (en) * | 2012-06-06 | 2012-12-05 | 安徽农业大学 | Indoor hot comfort level detector |
| CN103398451A (en) * | 2013-07-12 | 2013-11-20 | 清华大学 | Multi-dimensional indoor environment controlling method and system based on learning of user behaviors |
| CN106382960A (en) * | 2016-11-24 | 2017-02-08 | 天津大学 | System and method for automatically monitoring indoor environment of building based on Internet plus technology |
| CN112308140A (en) * | 2020-10-30 | 2021-02-02 | 上海市建筑科学研究院有限公司 | Indoor environment quality monitoring method and terminal |
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- 2021-03-25 CN CN202110322167.XA patent/CN112966448A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202582608U (en) * | 2012-06-06 | 2012-12-05 | 安徽农业大学 | Indoor hot comfort level detector |
| CN103398451A (en) * | 2013-07-12 | 2013-11-20 | 清华大学 | Multi-dimensional indoor environment controlling method and system based on learning of user behaviors |
| CN106382960A (en) * | 2016-11-24 | 2017-02-08 | 天津大学 | System and method for automatically monitoring indoor environment of building based on Internet plus technology |
| CN112308140A (en) * | 2020-10-30 | 2021-02-02 | 上海市建筑科学研究院有限公司 | Indoor environment quality monitoring method and terminal |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113268098A (en) * | 2021-06-23 | 2021-08-17 | 上海市建筑科学研究院有限公司 | Indoor environment regulation and control method and system |
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