CN111665328A - Indoor air quality intelligent monitoring system based on Internet of things - Google Patents

Indoor air quality intelligent monitoring system based on Internet of things Download PDF

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CN111665328A
CN111665328A CN202010550036.2A CN202010550036A CN111665328A CN 111665328 A CN111665328 A CN 111665328A CN 202010550036 A CN202010550036 A CN 202010550036A CN 111665328 A CN111665328 A CN 111665328A
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air quality
quality monitoring
sensor
monitoring data
node
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张祥
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Guangzhou Aoma Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0031General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/06Investigating concentration of particle suspensions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0062General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
    • G01N33/0063General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a threshold to release an alarm or displaying means
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/38Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks

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Abstract

The invention provides an indoor air quality intelligent monitoring system based on the Internet of things, which comprises an air quality monitoring device, an air quality analysis device and a user terminal, wherein the air quality monitoring device is connected with the user terminal through a network; the air quality monitoring device is used for acquiring indoor air quality monitoring data; the air quality analysis device is connected with the user terminals and used for processing the received air quality monitoring data, and if the air quality monitoring data exceeds a preset threshold range, the air quality analysis device sends alarm information to the connected user terminals. According to the invention, the sensing and acquisition of indoor air quality monitoring data are realized by using the technology of the Internet of things, and the real-time sharing and cloud storage of the air quality monitoring data can be completed.

Description

Indoor air quality intelligent monitoring system based on Internet of things
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to an indoor air quality intelligent monitoring system based on the Internet of things.
Background
At present, air quality detection generally needs professionals to bring instruments to the door, data of a time point or a time period are intelligently detected at one time, changes of air quality cannot be reflected, multiple parameters cannot be acquired simultaneously, and the defects of incapability of intelligent networking and the like are overcome.
Disclosure of Invention
Aiming at the problems, the invention provides an intelligent indoor air quality monitoring system based on the Internet of things.
The purpose of the invention is realized by adopting the following technical scheme:
the method comprises the steps of providing an air quality monitoring device, an air quality analysis device and a user terminal; the air quality monitoring device is used for acquiring indoor air quality monitoring data and comprises a wireless sensor network constructed by a sink node and a plurality of sensor nodes deployed in the room, the sensor nodes acquire the air quality monitoring data of the monitoring positions, and the sink node is mainly used for gathering the air quality monitoring data acquired by each sensor node and sending the air quality monitoring data to the air quality analysis device;
the air quality analysis device is connected with the user terminals and used for processing the received air quality monitoring data, and if the air quality monitoring data exceeds a preset threshold range, the air quality analysis device sends alarm information to the connected user terminals.
Further, the system further comprises a cloud server, and the air quality analysis device is further used for sending the received air quality monitoring data to the cloud server for storage; the cloud server is connected with the user terminals so as to send corresponding air quality monitoring data to the user terminals according to data acquisition instructions of the user terminals.
Further, the air quality analysis device is also used for sending the alarm information to the cloud server.
In one implementation, the alarm information includes air quality monitoring data exceeding a preset threshold range and a corresponding sensor node identifier.
In a mode that can realize, sensor node transfers the transmission distance of oneself to the biggest at the beginning, if sensor node to sink node's distance does not exceed sensor node's present transmission distance, sensor node directly sends the air quality monitoring data of gathering to sink node, otherwise, sensor node sends the air quality monitoring data of gathering to next hop node to through the form of multihop forwarding with air quality monitoring data transmission to sink node.
In one implementation, the sensor node is provided with a sensor module, the sensor module including one or more of the following sensors:
the dust sensor is used for detecting the concentration of dust pollutants in the air quality monitoring area in real time;
the PM2.5 sensor is used for detecting the concentration of PM2.5 pollutants in the air quality monitoring area in real time;
the formaldehyde sensor is used for detecting the concentration of formaldehyde pollutants in the air quality monitoring area in real time;
the toxic gas sensor is used for detecting the concentration of toxic gas in the air quality monitoring area in real time;
the peculiar smell sensor is used for detecting the concentration of peculiar smell in the air quality monitoring area in real time;
and the carbon dioxide sensor is used for detecting the concentration of carbon dioxide in the air quality monitoring area in real time.
The invention has the beneficial effects that: by utilizing the technology of the Internet of things, the sensing and the acquisition of indoor air quality monitoring data are realized, and the real-time sharing and the cloud storage of the air quality monitoring data can be completed.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a schematic block diagram of a structure of an intelligent monitoring system for indoor air quality based on the internet of things according to an exemplary embodiment of the invention.
Reference numerals:
the system comprises an air quality monitoring device 1, an air quality analysis device 2, a user terminal 3 and a cloud server 4.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, an embodiment of the present invention provides an intelligent monitoring system for indoor air quality based on the internet of things, and the system includes an air quality monitoring device 1, an air quality analyzing device 2, and a plurality of user terminals 3; the air quality monitoring device 1 is used for collecting indoor air quality monitoring data, the air quality monitoring device 1 comprises a wireless sensor network which is formed by a convergent node and a plurality of sensor nodes arranged in the room, the sensor nodes collect the air quality monitoring data of monitoring positions, and the convergent node is mainly used for converging the air quality monitoring data collected by the sensor nodes and sending the air quality monitoring data to the air quality analysis device 2.
The air quality analysis device 2 is connected with a plurality of user terminals 3, the air quality analysis device 2 is used for processing received air quality monitoring data, and if the air quality monitoring data exceeds a preset threshold range, the air quality analysis device sends alarm information to the connected user terminals 3.
Further, the indoor air quality intelligent monitoring system based on the internet of things further comprises a cloud server 4, and the air quality analysis device 2 is further used for sending the received air quality monitoring data to the cloud server 4 for storage.
The cloud server 4 is connected with the plurality of user terminals 3 to send corresponding air quality monitoring data to the user terminals 3 according to data acquisition instructions of the user terminals 3.
Further, the air quality analysis device 2 is further configured to send the alarm information to the cloud server 3.
In one implementation, the alarm information includes air quality monitoring data exceeding a preset threshold range and a corresponding sensor node identifier.
The threshold value can be set according to actual conditions. In one embodiment, different standard threshold ranges can be set for different air quality monitoring data, and when the air quality monitoring data exceeds the corresponding standard threshold range, the air quality monitoring data is judged to be abnormal, and then alarm information is output.
In a mode that can realize, sensor node sets up the transmission distance of oneself as the biggest communication distance that can adjust initially, if sensor node to sink node's distance does not exceed sensor node's current transmission distance, sensor node directly sends the air quality monitoring data of gathering to sink node, otherwise, sensor node sends the air quality monitoring data of gathering to next hop node to through the form of multihop forwarding with air quality monitoring data transmission to sink node.
In one implementation, the sensor node is provided with a sensor module, the sensor module including one or more of the following sensors:
the dust sensor is used for detecting the concentration of dust pollutants in the air quality monitoring area in real time;
the PM2.5 sensor is used for detecting the concentration of PM2.5 pollutants in the air quality monitoring area in real time;
the formaldehyde sensor is used for detecting the concentration of formaldehyde pollutants in the air quality monitoring area in real time;
the toxic gas sensor is used for detecting the concentration of toxic gas in the air quality monitoring area in real time;
the peculiar smell sensor is used for detecting the concentration of peculiar smell in the air quality monitoring area in real time;
and the carbon dioxide sensor is used for detecting the concentration of carbon dioxide in the air quality monitoring area in real time.
According to the embodiment of the invention, the sensing and acquisition of indoor air quality monitoring data are realized by using the technology of the Internet of things, and the real-time sharing and cloud storage of the air quality monitoring data can be completed.
In one implementation, the sensor node periodically updates its transmission distance according to the following formula:
Figure BDA0002542192400000031
in the formula,Si(T) is the updated transmission distance of the sensor node i in the Tth period, Si(T-1) is the updated transmission distance of the sensor node i in the T-1 th period, EiIs the current remaining energy of the sensor node i, Ei0Is the initial energy of sensor node i, EminIs a preset lower limit of the energy,
Figure BDA0002542192400000032
for the rounding function, represent the pairs Si(T-1)×k×
Figure BDA0002542192400000033
Rounding, d is a preset energy-based attenuation coefficient, and the value range of d is [0.9,0.95 ]]。
The embodiment sets a calculation formula of the sending distance based on the energy of the sensor node, and innovatively provides a better measurement standard for the routing mode selection of the sensor node for sending the air quality monitoring data. The sensor nodes select a proper routing mode based on the sending distance, so that the energy consumption of the sensor nodes for sending the air quality monitoring data is reduced, the sensor nodes are prevented from losing effectiveness due to rapid energy consumption, the reliability of routing in a wireless sensor network is guaranteed, and the running stability of the air quality monitoring device 1 is improved.
In an implementation manner, when the sensor node selects the next hop node, the following steps are specifically performed:
the method comprises the steps that initially, neighbor nodes are set as other sensor nodes located in a communication range of the sensor nodes, when a network is initialized, the sensor nodes acquire neighbor node information through information interaction, a neighbor node set is constructed, neighbor nodes closer to a sink node relative to the sink node are selected from the neighbor node set as candidate nodes, and neighbor nodes farthest from the sink node are selected from the candidate nodes as next-hop nodes;
every time a preset period is reached, the sensor node determines a direct communication distance threshold value, and if the distance between the sensor node and the current next hop node exceeds the direct communication distance threshold value, the sensor node reselects the next hop node from candidate nodes the distance between which does not exceed the direct communication distance threshold value;
wherein the direct communication distance threshold is determined according to the following formula:
Figure BDA0002542192400000041
wherein D (t +1) is the direct communication distance threshold updated in the t +1 th period, D (t) is the direct communication distance threshold updated in the t th period, and the initial value of the direct communication distance threshold is set as Dmax(a),Dmax(a) Maximum communication distance adjustable for sensor node a, EaIs the current remaining energy of the sensor node a, Ea0Is the initial energy of the sensor node a, k is a preset attenuation factor based on energy consumption, and the value range of k is [0.85,0.95 ]]。
The next hop node is updated according to the energy condition of the sensor node, so that the energy consumption of the sensor node is reduced, the working time of the sensor node is prolonged, and the monitoring period of the air quality monitoring device 1 is prolonged integrally.
From the above description of embodiments, it is clear for a person skilled in the art that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For a hardware implementation, a processor may be implemented in one or more of the following units: an application specific integrated circuit, a digital signal processor, a digital signal processing device, a programmable logic device, a field programmable gate array, a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the procedures of an embodiment may be performed by a computer program instructing associated hardware. In practice, the program may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer-readable medium can include, but is not limited to, random access memory, read only memory images, electrically erasable programmable read only memory or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (6)

1. An indoor air quality intelligent monitoring system based on the Internet of things is characterized by comprising an air quality monitoring device, an air quality analysis device and a user terminal; the air quality monitoring device is used for acquiring indoor air quality monitoring data and comprises a wireless sensor network constructed by a sink node and a plurality of sensor nodes deployed in the room, the sensor nodes acquire the air quality monitoring data of the monitoring positions, and the sink node is mainly used for gathering the air quality monitoring data acquired by each sensor node and sending the air quality monitoring data to the air quality analysis device;
the air quality analysis device is connected with the user terminals and used for processing the received air quality monitoring data, and if the air quality monitoring data exceeds a preset threshold range, the air quality analysis device sends alarm information to the connected user terminals.
2. The intelligent monitoring system for indoor air quality based on the internet of things as claimed in claim 1, further comprising a cloud server, wherein the air quality analysis device is further configured to send the received air quality monitoring data to the cloud server for storage; the cloud server is connected with the user terminals so as to send corresponding air quality monitoring data to the user terminals according to data acquisition instructions of the user terminals.
3. The intelligent monitoring system for indoor air quality based on the internet of things as claimed in claim 2, wherein the air quality analysis device is further configured to send the alarm information to the cloud server.
4. The intelligent monitoring system for indoor air quality based on the internet of things as claimed in claim 1, wherein the alarm information comprises air quality monitoring data exceeding a preset threshold range and corresponding sensor node identifiers.
5. The intelligent monitoring system for indoor air quality based on the internet of things as claimed in claim 1, wherein initially, the sensor node adjusts the sending distance of the sensor node to the maximum, if the distance from the sensor node to the sink node does not exceed the current sending distance of the sensor node, the sensor node directly sends the collected air quality monitoring data to the sink node, otherwise, the sensor node sends the collected air quality monitoring data to the next hop node, so as to send the air quality monitoring data to the sink node in a multi-hop forwarding manner.
6. An intelligent monitoring system for indoor air quality based on the internet of things as claimed in any one of claims 1 to 5, wherein the sensor nodes are provided with sensor modules, and the sensor modules comprise one or more of the following sensors:
the dust sensor is used for detecting the concentration of dust pollutants in the air quality monitoring area in real time;
the PM2.5 sensor is used for detecting the concentration of PM2.5 pollutants in the air quality monitoring area in real time;
the formaldehyde sensor is used for detecting the concentration of formaldehyde pollutants in the air quality monitoring area in real time;
the toxic gas sensor is used for detecting the concentration of toxic gas in the air quality monitoring area in real time;
the peculiar smell sensor is used for detecting the concentration of peculiar smell in the air quality monitoring area in real time;
and the carbon dioxide sensor is used for detecting the concentration of carbon dioxide in the air quality monitoring area in real time.
CN202010550036.2A 2020-06-16 2020-06-16 Indoor air quality intelligent monitoring system based on Internet of things Withdrawn CN111665328A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112820077A (en) * 2021-01-18 2021-05-18 天津创通科技股份有限公司 Indoor environment detection warning system
CN112857449A (en) * 2021-01-20 2021-05-28 威立雅能源科技(上海)有限公司 Monitoring management system and method for monitoring and managing indoor air quality
CN113094408A (en) * 2021-03-19 2021-07-09 深圳力维智联技术有限公司 Air quality monitoring method and device based on pigeon flock and computer storage medium
CN113917093A (en) * 2021-12-15 2022-01-11 维睿空气系统产品(深圳)有限公司 Air quality monitoring system based on wireless network

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112820077A (en) * 2021-01-18 2021-05-18 天津创通科技股份有限公司 Indoor environment detection warning system
CN112857449A (en) * 2021-01-20 2021-05-28 威立雅能源科技(上海)有限公司 Monitoring management system and method for monitoring and managing indoor air quality
CN113094408A (en) * 2021-03-19 2021-07-09 深圳力维智联技术有限公司 Air quality monitoring method and device based on pigeon flock and computer storage medium
CN113094408B (en) * 2021-03-19 2024-06-07 深圳力维智联技术有限公司 Air quality monitoring method and device based on pigeon flock and computer storage medium
CN113917093A (en) * 2021-12-15 2022-01-11 维睿空气系统产品(深圳)有限公司 Air quality monitoring system based on wireless network

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Application publication date: 20200915