IS428 2017-18 T1 Assign Sarah Jane Tong
Problem and Motivation
Background
Rose-Crested Blue Pipits are dwindling in numbers, and the cause is likely to be from one or more of the four types of chemicals emitted from the four factories. The factories are located south-west of the nature preserve where the birds reside, with the 9 sensors placed in the vicinity surrounding the 4 factories. The 4 factories are: 1. Roadrunner Fitness Electronics 2. Kasios Office Furniture 3. Radiance ColourTek 4. Indigo Sol Boards
A brief description of the 4 chemicals are also as follows:
1. Appluimonia – An airborne odor which can possibly cause serious injury, long-term health effects, or death to humans or animals.
2. Chlorodinine – Corrosive chemical which can attack and chemically destroy exposed body tissues. It has been used as a disinfectant and sterilizing agent as well as other uses. It is harmful if inhaled or swallowed.
3. Methylosmolene – Has potent effects on vertebrates. Liquid forms of Methylosmolene are required by law to be chemically neutralized before disposal. Strictly regulated.
4. AGOC-3A – A solvent which is not extremely harmful to human and environmental health.
General Task Overview
To determine the cause of the dwindling numbers of the birds. Isolating the chemicals from the dataset and identifying if there are correlations between the emissions and the data.
Subtasks
- Characterize the sensors’ performance and operation. Are they all working properly at all times? Can you detect any unexpected behaviors of the sensors through analyzing the readings they capture?
- Which chemicals are being detected by the sensor group? What patterns of chemical releases do you see, as being reported in the data?
- Which factories are responsible for which chemical releases? Carefully describe how you determined this using all the data you have available. For the factories you identified, describe any observed patterns of operation revealed in the data.
Given the large number of variables and measures, there is a need to build an interactive data visualization tool to help to analyse the correlations between various variables. The visualisations will draw links between each factory, chemical and monitor.
