CN111578993A - Indoor air real-time detection system - Google Patents
Indoor air real-time detection system Download PDFInfo
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- CN111578993A CN111578993A CN202010405061.1A CN202010405061A CN111578993A CN 111578993 A CN111578993 A CN 111578993A CN 202010405061 A CN202010405061 A CN 202010405061A CN 111578993 A CN111578993 A CN 111578993A
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- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a real-time indoor air detection system, which comprises an acquisition module, wherein the acquisition module is connected with a detection module, the detection module is connected with a processing module, the processing module is connected with an output module, a storage module and an early warning module, the storage module is connected with a communication module, the communication module is in communication connection with a remote cloud platform, the acquisition module is used for acquiring an air sample, the detection module performs various detections on the air sample and transmits the data to the processing module, the processing module performs analysis processing on the detected data, calculates the percentage of various harmful components and outputs an air quality result through the output module, the detection items of the system are comprehensive, the air quality in the household indoor environment can be fully detected, the detection result can be visually displayed, early warning can be given out when the air quality is poor, and the system data in various places are subjected to big data statistical analysis through the cloud platform, the health awareness of the user is improved.
Description
Technical Field
The invention relates to the technical field of air detection, in particular to a real-time indoor air detection system.
Background
Air detection in the broad sense refers to the detection of the constituent components of air. In the narrow sense of air detection, mainly from the application point of view, indoor air detection is the focus of research. The air quality detection device is used for detecting air quality by means of decoration pollution caused by substances harmful to human bodies contained in indoor decoration materials, furniture and the like and released into home and office environments. With the development of society, modern people pay more attention to the health of indoor environment, and a simple and easy-to-use household indoor air detection system is not available in the market at present and cannot adapt to the increasing market demand.
Disclosure of Invention
The invention aims to provide a real-time indoor air detection system to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides an indoor air real-time detection system, includes collection module, collection module is connected with detection module, detection module is connected with processing module, processing module is connected with output module, storage module and early warning module, storage module is connected with communication module, communication module and long-range cloud platform communication are connected, collection module is used for gathering the air sample, and detection module carries out each item to the air sample and detects to give processing module with data transmission, processing module carries out analysis processes to the testing data, calculates the percentage of all kinds of harmful components to through output module output air quality result, early warning module sends the police dispatch newspaper when certain harmful component exceeds predetermined threshold value, storage module saves testing result, communication module uploads local data to the cloud platform.
Preferably, the detection module comprises a basic information detection module, an inorganic matter detection module and an organic matter detection module, wherein the basic information detection module comprises a temperature sensor and a humidity sensor and is used for detecting indoor temperature and humidity.
Preferably, the inorganic substance detection module comprises a PM2.5 sensor, a carbon dioxide sensor, a nitrogen dioxide sensor, a sulfur dioxide sensor, a carbon monoxide sensor and an ozone sensor, and is respectively used for detecting the content of PM2.5, carbon dioxide, nitrogen dioxide, sulfur dioxide, carbon monoxide and ozone in the room.
Preferably, the organic matter detection module includes a formaldehyde sensor and a TVOC sensor, which are respectively used for detecting indoor formaldehyde content and total volatile organic matter content.
Preferably, a data analysis module and a big data statistics module are deployed in the cloud platform, the big data statistics module uses a big data processing mode to count different indoor air qualities of each region, the data analysis module calculates the level of the indoor air quality of a certain user relative to the indoor air quality of the whole user according to the statistical data of the big data statistics module, sends the result to the user, and outputs the result through an output module.
Preferably, the output module comprises a display module and a voice broadcast module.
Preferably, the early warning module comprises an LED warning lamp and a buzzer.
Preferably, the communication module is any one of a WiFi module, a GSM module, a GPRS module, a CDMA module, a WCDMA module, a TD-SCDMA module, and a LoRa module.
Compared with the prior art, the invention has the beneficial effects that: the cloud platform based air quality detection method is comprehensive in detection items, can fully detect the air quality in the household indoor environment, can visually display the detection result, can give out early warning when the air quality is poor, and can carry out big data statistical analysis on system data of all places through the cloud platform, thereby being beneficial to improving the health consciousness of users.
Drawings
Fig. 1 is a schematic structural diagram of an indoor air real-time detection system.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: the utility model provides an indoor air real-time detection system, includes collection module, collection module is connected with detection module, detection module is connected with processing module, processing module is connected with output module, storage module and early warning module, storage module is connected with communication module, communication module and long-range cloud platform communication are connected, collection module is used for gathering the air sample, and detection module carries out each item to the air sample and detects to give processing module with data transmission, processing module carries out analysis processes to the testing data, calculates the percentage of all kinds of harmful components to through output module output air quality result, early warning module sends the police dispatch newspaper when certain harmful component exceeds predetermined threshold value, storage module saves testing result, communication module uploads local data to the cloud platform.
The detection module comprises a basic information detection module, an inorganic matter detection module and an organic matter detection module, wherein the basic information detection module comprises a temperature sensor and a humidity sensor and is used for detecting indoor temperature and humidity.
The inorganic matter detection module comprises a PM2.5 sensor, a carbon dioxide sensor, a nitrogen dioxide sensor, a sulfur dioxide sensor, a carbon monoxide sensor and an ozone sensor, and is respectively used for detecting the content of indoor PM2.5, carbon dioxide, nitrogen dioxide, sulfur dioxide, carbon monoxide and ozone.
The organic matter detection module comprises a formaldehyde sensor and a TVOC sensor, and is used for detecting indoor formaldehyde content and total volatile organic matter content respectively.
The cloud platform is provided with a data analysis module and a big data statistics module, the big data statistics module is used for counting different indoor air qualities of different regions in a big data processing mode, the data analysis module is used for calculating the indoor air quality level of a user relative to the indoor air quality of the whole user according to the statistical data of the big data statistics module, sending the result to the user, and outputting the result through an output module.
The output module comprises a display module and a voice broadcast module.
The early warning module comprises an LED warning lamp and a buzzer.
The communication module is any one of a WiFi module, a GSM module, a GPRS module, a CDMA module, a WCDMA module, a TD-SCDMA module and a LoRa module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (8)
1. The utility model provides an indoor air real-time detection system, includes collection module, its characterized in that: the air quality monitoring system comprises a collecting module, a processing module, an output module, a storage module and an early warning module, wherein the collecting module is connected with the detecting module, the processing module is connected with a communication module, the communication module is in communication connection with a remote cloud platform, the collecting module is used for collecting air samples, the detecting module is used for detecting the air samples, transmitting data to the processing module, the processing module is used for analyzing and processing the detected data, calculating the percentage of various harmful components and outputting air quality results through the output module, the early warning module gives an alarm when a certain harmful component exceeds a preset threshold value, the storage module stores the detected results, and the communication module uploads local data to the cloud platform.
2. The real-time indoor air detection system according to claim 1, wherein: the detection module comprises a basic information detection module, an inorganic matter detection module and an organic matter detection module, wherein the basic information detection module comprises a temperature sensor and a humidity sensor and is used for detecting indoor temperature and humidity.
3. The real-time indoor air detection system according to claim 2, wherein: the inorganic matter detection module comprises a PM2.5 sensor, a carbon dioxide sensor, a nitrogen dioxide sensor, a sulfur dioxide sensor, a carbon monoxide sensor and an ozone sensor, and is respectively used for detecting the content of indoor PM2.5, carbon dioxide, nitrogen dioxide, sulfur dioxide, carbon monoxide and ozone.
4. The real-time indoor air detection system according to claim 2, wherein: the organic matter detection module comprises a formaldehyde sensor and a TVOC sensor, and is used for detecting indoor formaldehyde content and total volatile organic matter content respectively.
5. The real-time indoor air detection system according to claim 1, wherein: the cloud platform is provided with a data analysis module and a big data statistics module, the big data statistics module is used for counting different indoor air qualities of different regions in a big data processing mode, the data analysis module is used for calculating the indoor air quality level of a user relative to the indoor air quality of the whole user according to the statistical data of the big data statistics module, sending the result to the user, and outputting the result through an output module.
6. The real-time indoor air detection system according to claim 1, wherein: the output module comprises a display module and a voice broadcast module.
7. The real-time indoor air detection system according to claim 1, wherein: the early warning module comprises an LED warning lamp and a buzzer.
8. The real-time indoor air detection system according to claim 1, wherein: the communication module is any one of a WiFi module, a GSM module, a GPRS module, a CDMA module, a WCDMA module, a TD-SCDMA module and a LoRa module.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113358825A (en) * | 2021-06-02 | 2021-09-07 | 重庆大学 | Indoor air quality detector with assimilation algorithm |
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| CN209992020U (en) * | 2019-06-20 | 2020-01-24 | 何桂连 | Household environment detection device |
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| KR101160986B1 (en) * | 2012-02-27 | 2012-06-29 | (주)한동알앤씨 | Air measurement device and control system for preventing indoor air pollution |
| US20150127712A1 (en) * | 2012-09-21 | 2015-05-07 | Google Inc. | Handling security services visitor at a smart-home |
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| CN113358825A (en) * | 2021-06-02 | 2021-09-07 | 重庆大学 | Indoor air quality detector with assimilation algorithm |
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Application publication date: 20200825 |