KR20200101484A - Apparatus and method for monitoring indoor air pollution with internet of things - Google Patents

Abstract

The present invention relates to a fine dust measurement sensor and an integrated monitoring system. According to one embodiment of the present invention, the fine dust measurement sensor including a plurality of sensors is disclosed, and a web server system capable of monitoring measurement data is disclosed. The fine dust sensor comprises: a dust sensor; a temperature sensor; a humidity sensor; a dust data signal processing device; a multi-sensor integrated board; a Bluetooth module; and a LPWA communication board.

Description

Indoor air pollution monitoring device and method using IoT{APPARATUS AND METHOD FOR MONITORING INDOOR AIR POLLUTION WITH INTERNET OF THINGS}

It relates to an apparatus and method for monitoring air pollution. In more detail, it relates to an apparatus and method for monitoring indoor air pollution by using the Internet of Things.

Conventional fine dust sensors have developed a degree of analyzing dust data input from a dust sensor in a signal processing device and transmitting it through Bluetooth.

According to an embodiment, a dust sensor; temperature Senser; Humidity sensor; Dust data signal processing device; Multi-sensor integrated board; Bluetooth module; And a fine dust sensor including an LPWA communication board is disclosed.

1 shows an existing configuration and an advanced configuration of a fine dust sensor according to an embodiment.
2 shows a monitoring platform environment according to an embodiment.
3 shows a data server built according to an embodiment.
4 shows a development environment according to an embodiment.
5 shows a composite dust sensor platform according to an embodiment.
6 shows the LPWA test setting according to an embodiment.
7 shows a monitoring app screen according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, the scope of the rights is not limited or limited by these embodiments. The same reference numerals in each drawing indicate the same members.

The terms used in the description below have been selected as general and universal in the related technology field, but there may be other terms depending on the development and/or change of technology, customs, preferences of technicians, and the like. Therefore, terms used in the following description should not be understood as limiting the technical idea, but should be understood as exemplary terms for describing embodiments.

In addition, in certain cases, there are terms arbitrarily selected by the applicant, and in this case, detailed meanings will be described in the corresponding description. Therefore, terms used in the following description should be understood based on the meaning of the term and the contents throughout the specification, not just the name of the term.

An apparatus according to an embodiment may have the following objectives by way of example but not limitation.

IoT-based indoor air pollution measurement dust sensor and monitoring system advancement

Optical fine dust sensor module, integrated control software development

Development of a standard platform linkage system based on the Internet of Things (IoT) using a low-power LPWA network

Building indoor air pollution monitoring platform using IoT

The device according to another embodiment may have the following detailed targets.

Advancement of fine dust measurement sensor system

Development of a complex dust sensor platform including measuring devices such as temperature/humidity sensors

IoT-based control and monitoring platform construction

LPWA communication module introduction/test

Implemented hardware interface that can install/detach Bluetooth and LPWA modules

LPWA network connection big data server construction

Developing an app for monitoring pollution levels and trends in places where users are located and remote locations

1 shows an existing configuration and an advanced configuration of a fine dust sensor according to an embodiment.

The existing configuration is a structure in which dust data input from a dust sensor is analyzed by a signal processing device and transmitted through Bluetooth.

In the advanced stage, a multi-sensor integrated board that synchronizes temperature/humidity data with dust data and transmits it through Bluetooth and broadband communication networks was developed and improved to the configuration on the right side of the following figure.

Bluetooth module connection consists of a mounting/detachable interface. Make it possible to select according to your needs

The temperature/humidity sensor module uses a standardized interface. Designed to be interchangeable with other sensors

2 shows a monitoring platform environment according to an embodiment.

IoT indoor air pollution monitoring platform environment using IoT

Application of LPWA (low power broadband) communication network technology

Introducing a commercial LPWA terminal and gateway to integrate multiple sensors into the data server

Development of mobile app for simultaneous monitoring of wide area data through LPWA network and local data through Bluetooth

Display the change in pollution level over time from the data stored in the data server on the mobile app

Dust sensor test software development

Overview: Receives frequency analysis (FFT) data from dust sensor through Bluetooth communication and displays it in real-time graph trajectory and equalizer form

Purpose: Immediately grasp the effect of changes in experimental conditions

Method: Initially, Bluetooth was recognized as a serial port and data was received, but due to communication speed and inconvenient connection, it is converted to a wired serial port through a USB connection.

Function: Dust sensor fan, LED control function and graph scaling, data file storage, etc.

3 shows a data server built according to an embodiment.

Build a data server

Development environment: Ubuntu Linux + Python 2.7 + mySQL DB

Overview: The sensor data received through the LPWA module is stored in the database, and statistics/analysis data are delivered to the user terminal (PC, smart device) through TCP/IP communication.

Method: Serial communication, TCP/IP communication, and Python language with excellent ability to connect databases are used to divide the process for data collection/storage and the process for data statistics and distribution. Advantageous grafting with various development environments for future big data analysis

Database: Use of mySQL, compatibility and future migration, etc.

4 shows a development environment according to an embodiment.

Monitoring app development

Choosing a development environment for multi-platforms that can be ported to the same code on Android and iOS platforms

Overview: By receiving data for each period through a TCP/IP socket from a data server, it is possible to intuitively recognize the change of the standby status in a smart device.

5 shows a composite dust sensor platform according to an embodiment.

Composite dust sensor platform

Development environment: Arduino Uno board/ Complex sensor shield/ Temperature sensor/ Humidity sensor/ Dust sensor/ Bluetooth module/ LPWA module

Abstract: An interface board in the form of an Arduino shield was manufactured to facilitate sensor mounting and removal. It enables testing of various sensors and communication modules.

Operation method: Can be operated by separating communication mode and setting mode

1) Connect software serial to LPWA and hardware serial to debugging port.

2) Change the AT command mode and communication mode of the LPWA module by entering the'*' character on the PC through the serial monitor.

3) During initial pairing, it is performed in AT command mode, and after a power reset in the future, it is automatically paired to use the LPWA function as a communication mode.

4) The Bluetooth module is processed in the same way. LPWA module works like long distance Bluetooth module

Dust sensor communication parsing algorithm (depending on the applied dust sensor)

State machine algorithm that reads the data part after detecting the header

Since the data field is 2 bytes big endian, it is converted to endian in swapOctects function.

6 shows the LPWA test setting according to an embodiment.

Set up the sensor side (blue line) LPWA module with Arduino serial monitor

Set the LPWA module on the USB connection (red line) with a general serial monitor program

Adjust band and channel, perform pairing command, and switch to communication mode when pairing is successful

Monitoring app development

Build an Android app development environment

Develop multi-device (Windows, MAC OS X, IOS, Android) apps with the same source code using RAD studio XE 10, which uses Object pascal language and C++ language.

7 shows a monitoring app screen according to an embodiment.

1) Bluetooth/LPWA simultaneous application

2) Fusion of various sensors such as temperature and humidity

-It is sufficient to additionally install a temperature/humidity/illumination sensor, but since the temperature/humidity sensor requires exposure, it must be considered simultaneously with maintaining airtightness in terms of protecting the circuit.

Sensor interchangeable structure

Realization of long distance communication network (2Km)

Communication pairing succeeded after switching various frequency bands and channels due to radio wave interference in urban areas

Communication packet corruption occurs within 3 times in 24 hours (0.001%)

Build a data server

Introducing Linux, MySQL and Python to build an open platform server

Configuration of an advantageous environment for adding various functions (big data processing, AI, etc.)

Control and monitoring app

Applicable to Android/iPhone/Windows/MacOS by building a development environment supporting multi-device platform

Various devices can be supported without additional work

Field application plan (plan)

-Measure indoor air quality and fine dust and use it to provide real-time air quality information using mobile phones and IoT

-It is used in related firefighting industry technology as it is possible to measure complex fine floating matters that can detect combustion floats that occur in a fire.

Commercialization plan

-Analyzing problems of existing products, analyzing insufficient parts and collecting information

-In cooperation with Victron Co., Ltd., miniaturization and diversification of the use of fine dust sensors

-Based on this technology, it evolves into a platform that provides information to users by developing a complex sensor for detecting fine dust and floating matter in fire and applying big data analysis techniques.

Manpower inflow and employment potential into the regional strategic industries

-The city of Daejeon is designated as the “Protagonist of the Fourth Industrial Revolution, Special R&D Zone”, and the Ministry of SMEs and Startups plans to revitalize innovative startups of technological manpower by doubling the government's R&D budget for SMEs by 2022.

-Therefore, it is possible to resolve some of the participating students by linking them with SMEs through the workforce training achievement system like this project and getting them to work immediately after completing their studies. The regional strategic industry is expected to grow

Provides complex sensing and monitoring technology utilizing fine dust sensing and fire burning floating matter detection

Maintenance cost can be reduced by applying a semi-permanent optical measurement method

In terms of policy and public, it is possible to reduce system operation costs and improve industrial productivity by combining with other business fields such as automobiles, electric power, remote meter reading, home appliances, and medical care.

High value-added business can be created through the development of source technology that can be applied to various products and industries

Advancing into the global market and enhancing market share through the technology

The apparatus described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the devices and components described in the embodiments include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA), It can be implemented using one or more general purpose computers or special purpose computers, such as a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, one of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to behave as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those produced by a compiler but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

Although the embodiments have been described by the limited drawings, various modifications and variations are possible from the above description to those of ordinary skill in the art. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and claims and equivalents fall within the scope of the claims to be described later.

Claims (1)

Dust sensor;
temperature Senser;
Humidity sensor;
Dust data signal processing device;
Multi-sensor integrated board;
Bluetooth module; And
LPWA communication board
Fine dust sensor comprising a

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