CN214895115U - Intelligent indoor air monitoring device based on raspberry group - Google Patents

Intelligent indoor air monitoring device based on raspberry group Download PDF

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Publication number
CN214895115U
CN214895115U CN202120421339.4U CN202120421339U CN214895115U CN 214895115 U CN214895115 U CN 214895115U CN 202120421339 U CN202120421339 U CN 202120421339U CN 214895115 U CN214895115 U CN 214895115U
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China
Prior art keywords
sensor
raspberry
module
indoor air
monitoring device
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Expired - Fee Related
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CN202120421339.4U
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Chinese (zh)
Inventor
陈忠林
罗宁宁
徐梦喜
胡倍萌
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Nanchang Hangkong University
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Nanchang Hangkong University
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Abstract

The utility model discloses an intelligence indoor air monitoring device based on raspberry group, including raspberry group, sensor module, power module, data transmission module and server, power module, sensor module and data transmission module all with the connection is sent to the raspberry, data transmission module still with the server is connected, sensor module includes temperature and humidity sensor, formaldehyde sensor, dust sensor and carbon dioxide sensor. The utility model discloses simple structure, small, the expense is lower, convenient to use, the device combine multiple sensor, can accurately record the humiture of indoor environment, formaldehyde concentration, PM2.5 concentration, carbon dioxide concentration in real time, and the data that will monitor simultaneously pass through data transmission module and transmit the server end, and the current indoor air quality condition is known to the person of facilitating the use anytime and anywhere, is convenient for take corresponding measure to indoor environment.

Description

Intelligent indoor air monitoring device based on raspberry group
Technical Field
The utility model relates to an air quality monitoring technology field especially relates to an intelligent indoor air monitoring device based on raspberry group.
Background
In recent years, environmental issues have been receiving increasing attention. Monitoring of the environment of an indoor space is a necessary requirement, both for health and safety reasons. When no one is indoors, people can monitor whether dangerous gas (coal gas and fuel gas) is released or not, so that accidents are prevented; when people are indoors, the temperature and humidity of indoor air, the pollution degree (PM2.5, formaldehyde), the carbon dioxide concentration and other indexes can be monitored, and the health of people is protected better. Therefore, the rapid and efficient space environment monitoring in a relatively closed environment is always the focus of attention of people, but most indoor environment monitoring devices are large in size and not easy to move, complex and complicated in wiring, incapable of displaying data in a remote real-time mode, and expensive. People hope that the indoor air quality condition can be known at any time and any place under the condition of low cost, and corresponding measures can be conveniently taken for the indoor environment.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to solve the technical problem who exists among the prior art, provide an intelligent indoor air monitoring device based on raspberry group.
In order to achieve the above purpose, the utility model provides a technical scheme is: the utility model provides an intelligence indoor air monitoring device based on raspberry group, includes raspberry group, sensor module, power module, data transmission module and server, power module, sensor module and data transmission module all with the raspberry group is connected, data transmission module still with the server is connected, the raspberry group uses the raspberry group 3B platform as main control unit, carries on 64 ARM Cortex-A53 CPU of 4 nuclear, carries on net gape, WIFI and bluetooth from taking the board, and the memory hard disk is the SD card, sensor module includes temperature and humidity sensor, formaldehyde sensor, dust sensor and carbon dioxide sensor.
Preferably, a laser sensor adopting a laser reflection principle is arranged in the dust sensor, and the laser sensor is connected with the raspberry pie through a GPIO port.
Preferably, the monitoring ranges of the temperature and humidity sensors are 0% -100% RH and-40-80 ℃, the accuracy reaches 2% RH and 0.5 ℃, and the temperature and humidity sensors are connected with the raspberry pie through GPIO ports.
Preferably, the formaldehyde sensor is a gas sensor made of a complementary metal oxide semiconductor.
Preferably, the carbon dioxide sensor is internally provided with an infrared generating device and is connected with the raspberry pie through a GPIO port.
Preferably, the power supply module uses a power adapter with an output of 5V/2A.
The utility model discloses beneficial effect: the utility model discloses simple structure, small, the expense is lower, convenient to use, the device combine multiple sensor, can accurately monitor each item of indoor air data in real time, can pass through data transmission module wireless transmission to server side with the air composition data of gathering, make things convenient for people to know current air quality and take corresponding measure to the indoor environment.
Drawings
The accompanying drawings, which are described herein, serve to provide a further understanding of the invention and constitute a part of this specification, and the exemplary embodiments and descriptions thereof are provided for explaining the invention without unduly limiting it.
Fig. 1 is a schematic view of the overall flow of the preferred embodiment of the present invention.
The attached drawings are marked as follows:
1-raspberry pi 2-temperature and humidity sensor 3-formaldehyde sensor 4-dust sensor 5-carbon dioxide sensor 6-data transmission module 7-power module 8-server.
Detailed Description
This section will describe in detail the embodiments of the present invention, preferred embodiments of the present invention are shown in the attached drawings, which are used to supplement the description of the text part of the specification with figures, so that one can intuitively and vividly understand each technical feature and the whole technical solution of the present invention, but they cannot be understood as the limitation of the protection scope of the present invention.
In the description of the present invention, it should be understood that the orientation or positional relationship indicated with respect to the orientation description, such as up, down, front, rear, left, right, etc., is based on the orientation or positional relationship shown in the drawings, and is only for convenience of description and simplification of description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, a plurality of means are one or more, a plurality of means are two or more, and the terms greater than, less than, exceeding, etc. are understood as not including the number, and the terms greater than, less than, within, etc. are understood as including the number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless there is an explicit limitation, the words such as setting, installation, connection, etc. should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above words in combination with the specific contents of the technical solution.
Referring to fig. 1, in a preferred embodiment of the present invention, a raspberry pi-based intelligent indoor air monitoring device includes a raspberry pi 1, a sensor module, a power module 7, a data transmission module 6 and a server 8, wherein the power module 7, the sensor module and the data transmission module 6 are all connected to the raspberry pi, the power module 7 is used to supply power to the raspberry pi 1 to ensure its normal operation, the data transmission module 6 is further connected to the server 8, the data transmission module 6 uses an ESP8266 module, the ESP8266 module is an ultra-low power consumption UART-transparent transmission module, which has low power consumption, small size, low cost and portability, has a universal USART interface, the data transmission module 6 is connected to the raspberry pi 1 through a serial port, the data transmission module 6 realizes data transmission with the raspberry pi 1 through a built-in MQTT protocol, and is connected to the server 8 through a built-in WIFI networking communication device, the data acquisition system is used for transmitting the data acquired from the raspberry pi 1 to the server 8, and displaying the data acquired from the raspberry pi 1 on the server 8 in real time, so that a user can conveniently check the indoor air quality condition anytime and anywhere; raspberry group 1 is calculated and is controlled other modules as entire system's main part, Raspberry group 1 uses the Raspberry group 3B platform as main control unit, carries on 64 ARM Cortex-A53 CPU of 4 nuclear, carries on board net gape, WIFI and bluetooth certainly, and the memory hard disk is the SD card, and is with low costs, small, and the degree of integrating is high for receive the data of each sensor, the sensor module includes temperature and humidity sensor 2, formaldehyde sensor 3, dust sensor 4 and carbon dioxide sensor 5.
The utility model discloses simple structure, small, the expense is lower, convenient to use, the device combine multiple sensor, can accurately record indoor environment's humiture, formaldehyde concentration, PM2.5 concentration, carbon dioxide concentration in real time, and the data that will monitor simultaneously transmit 8 ends of server through data transmission module 6, and current indoor air quality condition is known to the person of facilitating the use anytime and anywhere, is convenient for take corresponding measure to indoor environment.
As a preferred embodiment of the present invention, it may also have the following additional technical features:
in this embodiment, a laser sensor adopting a laser reflection principle is arranged in the dust sensor 4, and the laser sensor is connected with the raspberry pi 1 through a GPIO port; the dust sensor 4 uses a Rirans PM2.5 laser sensor which is a sensor based on a laser reflection principle, when PM2.5 particles in the air are irradiated by laser, the dust sensor 4 receives scattered light of the PM2.5 particles, a PM2.5 concentration value is obtained through an internal photoelectric conversion device, PM2.5 concentration data are transmitted to the raspberry group 1 in real time, and the dust sensor has the advantage of high sensitivity.
In this embodiment, the monitoring range of the temperature and humidity sensor 2 is relative humidity 0% -100% RH and temperature-40-80 ℃, the accuracy reaches 2% RH and 0.5 ℃, the temperature and humidity sensor 2 is connected with the raspberry pi 1 through a GPIO port, the model of the temperature and humidity sensor 2 is AM2302, a capacitive element is adopted, the temperature and humidity of the current environment are obtained through the conversion relationship between an internal capacitor and the temperature and humidity, the temperature and humidity data of the current environment are transmitted to the raspberry pi 1 in real time, and high accuracy is achieved.
In this embodiment, the formaldehyde sensor 3 is a gas sensor made of a complementary metal oxide semiconductor, the type of the formaldehyde sensor 3 is MP503, the formaldehyde sensor 3 is connected to the raspberry pi 1 through a GPIO port, and can detect various gas targets, including carbon monoxide, alcohol, acetone, a diluent, formaldehyde, toluene and other slightly toxic gases, and the formaldehyde sensor 3 transmits the formaldehyde concentration data of the current environment to the raspberry pi 1 in real time through the conversion relationship between the internal metal oxide semiconductor resistor and formaldehyde.
In this embodiment, the carbon dioxide sensor 5 adopts a carbon dioxide sensor 5 with a model MH-Z14A, an infrared generating device is arranged in the carbon dioxide sensor 5, infrared rays are used as a measuring medium, the concentration of carbon dioxide is measured by utilizing the characteristic that carbon dioxide absorbs infrared rays with specific wavelengths, a GPIO port is used to connect with the raspberry pi 1 for obtaining the carbon dioxide concentration of the current environment, and carbon dioxide concentration data is transmitted to the raspberry pi 1 in real time.
In this embodiment, power module 7 uses the power adapter that output is 5V 2A, and its is with low costs, convenient to carry, and through pin and raspberry group 1 be connected, be used for giving the utility model discloses the power supply.
The above additional technical features can be freely combined and used in superposition by those skilled in the art without conflict.
The above is only the preferred embodiment of the present invention, as long as the technical solution of the purpose of the present invention is realized by the substantially same means, all belong to the protection scope of the present invention.

Claims (6)

1. The utility model provides an intelligence indoor air monitoring device based on raspberry group which characterized in that: including raspberry group (1), sensor module, power module (7), data transmission module (6) and server (8), power module (7), sensor module and data transmission module (6) all with raspberry group (1) is connected, data transmission module (6) still with server (8) are connected, raspberry group (1) uses the raspberry to send 3B platform as main control unit, carries on 64 ARM Cortex-A53 CPU of 4 nuclear, carries on board year net gape, WIFI and bluetooth certainly, and the memory hard disk is the SD card, sensor module includes temperature and humidity sensor (2), formaldehyde sensor (3), dust sensor (4) and carbon dioxide sensor (5).
2. The intelligent indoor air monitoring device based on the raspberry pi of claim 1, wherein: the dust sensor (4) is internally provided with a laser sensor adopting a laser reflection principle, and the laser sensor is connected with the raspberry pie (1) through a GPIO port.
3. The intelligent indoor air monitoring device based on the raspberry pi of claim 1, wherein: the monitoring range of the temperature and humidity sensor (2) is 0-100% RH and-40-80 ℃, the accuracy reaches 2% RH and 0.5 ℃, and the temperature and humidity sensor (2) is connected with the raspberry pie (1) through a GPIO port.
4. The intelligent indoor air monitoring device based on the raspberry pi of claim 1, wherein: the formaldehyde sensor (3) is a gas sensor made of a complementary metal oxide semiconductor.
5. The intelligent indoor air monitoring device based on the raspberry pi of claim 1, wherein: an infrared generating device is arranged in the carbon dioxide sensor (5), and the carbon dioxide sensor (5) is connected with the raspberry pie (1) through a GPIO port.
6. The intelligent indoor air monitoring device based on the raspberry pi of claim 1, wherein: the power supply module (7) uses a power adapter with the output of 5V/2A.
CN202120421339.4U 2021-02-25 2021-02-25 Intelligent indoor air monitoring device based on raspberry group Expired - Fee Related CN214895115U (en)

Priority Applications (1)

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CN202120421339.4U CN214895115U (en) 2021-02-25 2021-02-25 Intelligent indoor air monitoring device based on raspberry group

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Application Number Priority Date Filing Date Title
CN202120421339.4U CN214895115U (en) 2021-02-25 2021-02-25 Intelligent indoor air monitoring device based on raspberry group

Publications (1)

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CN214895115U true CN214895115U (en) 2021-11-26

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114964363A (en) * 2022-05-16 2022-08-30 安徽理工大学 City environmental monitoring system based on raspberry group
CN117129556A (en) * 2023-08-29 2023-11-28 中国矿业大学 Indoor TVOC concentration real-time monitoring system based on wireless sensor network

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114964363A (en) * 2022-05-16 2022-08-30 安徽理工大学 City environmental monitoring system based on raspberry group
CN117129556A (en) * 2023-08-29 2023-11-28 中国矿业大学 Indoor TVOC concentration real-time monitoring system based on wireless sensor network
CN117129556B (en) * 2023-08-29 2024-02-02 中国矿业大学 Indoor TVOC concentration real-time monitoring system based on wireless sensor network

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Granted publication date: 20211126