IOT air quality monitoring system for BPIA / (Record no. 130291)

MARC details
000 -LEADER
fixed length control field 02165nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240318090952.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240301b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number
040 ## - CATALOGING SOURCE
Transcribing agency HNU
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Placement Code Th
Classification number 628.5 In88
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Apit, Derek G., et.al.
245 ## - TITLE STATEMENT
Title IOT air quality monitoring system for BPIA /
Statement of responsibility, etc. Derek G. Apit, Homer D. Palabrica, Anna Viel B. Sordilla, Melvin Rey C. Tambis
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Tagbilaran City, Bohol, Philippines
Name of producer, publisher, distributor, manufacturer Holy Name University
Date of production, publication, distribution, manufacture, or copyright notice 2023
336 ## - CONTENT TYPE
Source text
Content type term rdacontent
337 ## - MEDIA TYPE
Source unmediated
Media type term rdamedia
338 ## - CARRIER TYPE
Source volume
Carrier type term rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. ABSTRACT<br/><br/> This study introduced an IoT-based air quality monitoring system for checking meticulous environmental evaluation, mainly focusing on monitoring capabilities. The system was meticulously designed to detect and analyze an array of air pollutants, including PM1.0, PM2.5, PM10, NO2, SO2, O3, CO, and CO2. Central to this research is the system’s precision in monitoring, data acquisition, and seamless integration with cloud-based platforms. These data points were seamlessly transmitted to the ThingSpeak platform, the central hub for data storage, in-depth analysis, and visual representation. The IoT-enabled air quality monitoring system offered multifaceted advantages. It presented a comprehensive view of air quality by encompassing diverse pollutants with varied sources and effects and enables immediate detection of pollution surges and hazardous conditions, prompting timely interventions. Furthermore, the integration with ThingSpeak ensured that the collected data could be accessed from any location, enabling remote monitoring and informed decision-making. This study showcased the successful implementation of an IoT air quality monitoring system that not only detects pollutants with accuracy but is also integrated with cloud technologies for comprehensive environmental assessment.<br/><br/><br/>
521 ## - TARGET AUDIENCE NOTE
Target audience note College of Engineering and Computer Studies
Source Bachelor of Science in Electronics Engineering
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name Pollution Control Technology
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Palabrica, Homer D.; Sordilla, Anna Viel B.; Tambis, Melvin Rey C.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Theses
Classification part 600-699
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Date last checked out Price effective from Non-public note Koha item type
    Dewey Decimal Classification     FIL College Library College Library Theses Section 03/01/2024 Donation 3 Th 628.5 In88 2023 TH02765 02/18/2025 02/18/2025 03/01/2024 cess Theses