SEA-HAZEMON@TEIN Workshop on Data Analytics of IoT Sensors for Air Quality Monitoring

21 - 23 April 2021, Rajamangala University of Technology, Hua Hin, Thailand

SEA-HAZEMON@TEIN Workshop on Data Analytics of IoT Sensors for Air Quality Monitoring

The workshop has be postponed due to the critical situation of COVID-19 in Bangkok. The staff team and instructors may not be able to organize the workshop on the announced dates. The new workshop dates will be announced as soon as possible once the situation seems to be better.
Dates: 21 - 23 April 2021 Postponed
  • Virtual via ZOOM or VClass (

    Due to the COVID 19 situation in Thailand is rising again the workshop will be organised in virtual only

  • Dr. Sunee Raksakietisak, Thai-Australian Technological Services Center
  • Dr. Thongchai Kanabkaew, Thammasat University
  • Dr. Adisorn Lertsinsrubtavee, intERLab/AIT and ThaiREN
  • Dr. Veerachai Tanpipat , WFSRU/KU

This workshop will cover the foundation of data analytic skills through the examples of IoTs (Internet of Things) Air Quality micro sensors which is collected as unstructured type. The participants will design a multidimensional model for Data warehouse or Data mart by using Business Intelligence Platform (software) such as Pentaho Business Analytics Suite that can support several features for data management ranging from Data Engineering, Data Analysis & Modelling, Data Visualization and Data Science. The hands-on sessions will cover two use cases; 1) Quality assessment of IoT sensors through batching test process, 2) Data analysis of air quality monitoring from wireless sensor network to understand and predict the movement of smog and PM 2.5.

Objectives of this workshops:
  • Introduce the IoT technology for the environmental research and forest fire prevention activities
  • Using the Data analytic technique to improve the reliability of making the IoT devices
  • Advance data analytics with R Commander package
  • Create a data pipeline using Pentaho Data Integration (PDI)
  • Data Exploration and Modelling with R
Target participants:
  • Students, sesearchers, faculty from various fields who are interested in data science and IoT technology.
  • IT technicians, IT instructors, statistician and IoT practitioners.
  • Environmentalist/domain-specific experts who wish to use data science and IoT in environmental research.

Workshop Schedule

Day1: 21 April 2021 



13:00   – 13:15


13:15  -  14:30

Introduction to SEA-HAZEMON@TEIN project

-          Recap of the major activities

-          Introduction to IoT technology and Air Quality Monitoring

-          Case Study: PM2.5 and Forest Fire Detection using IoT Ground Monitoring Devices

14:30  –  14:45

Coffee break

14:45  -- 16:30          

Forest Fire Monitoring and Surveillance with Alternative Technologies

Day2: 22 April 2021  




8:30    – 9:00

Overview: Reliability and Validity Analysis of IoT sensors (Batching Test Analysis)

-          Batching Test Design

-          Data Integration with PDI (Pentaho Data Integration) 

-          Reliability analysis with ANOVA model

-          Validity Analysis with Z score (ISO13528)

-          Criteria for Sensors’ Grading

9:00  -  10:00

Hands-on#1: Descriptive Statistics of Data Source with R Program

10:00  –  11:00

Hands-on#2 PDI (Pentaho Data Integration) for Data Preparation of Reliability Analysis 

11:00  -- 12:00          

Hands-on#3:  R Program for Reliability Analysis

-          Descriptive Statistics

ANOVA (Analysis of Variance to Compare Distributions)

12:00 – 13:00

Lunch Break

13:00 – 15:00

Session Break:

15:00 -  16:30

Hands-on#4: PDI for Validity Analysis with Z score Calculation and Sensor Grading

Day3: 23 April 2021  



8:30    – 9:30

Overview: Case Study: PM2.5 and Forest Fire Detection using IoT Ground Monitoring Devices

9:30  -  10:30

Hands-on#5:  PDI for Data Preparation of case study

10:30  –  10:45

Coffee Break

10:45  -- 12:00          

Hands-on#6 Data Visualization with Power BI

12:00 – 13:00

Lunch Break

13:00 – 14:30

Hands-on#7: Data Exploration and Modelling with R Program

14:30 – 14:45

Coffee Break

14:45 - 16:30

Hands-on#7: continue


Tools/Workshop requirements:
  1. Microsoft Excel
  2. Pentaho Data Integration ( )
  3. R ( for Exploratory Data Analysis & Modelling without coding via R-Commander
  4. Power BI ( for visualization to discover insight
Data Download:

Participants are required to bring laptops with Windows 10 Operating System

Maximum number of remote participant has been reached. Registration has been closed.

If you have any further queries, please contact Mr. Uddhav Guragain email: sec at