About EISES

The EISES coding project has been separated into four subsections of the software to be implemented. These sections of the program are, in procedural order: data feed processing, fact generation, rule evaluation , and alert distribution (see below). [insert image here]

Current Functionality

Future Applications

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EISES Development Checklist:

( todo: ⬜, in progress: 🔨, completed ✔️)

Last Updated: 10/08/2019

Questions: [email protected]

Data Processing:

✔️ 1. Compile a testing data set to use when adapting EISES to be used in PE project.

Testing data: ✔️ OBS data
✔️ ABS data
✔️ Light attenuation (surface light and underwater light if possible)
✔️ Deposition
✔️ Waves
✔️ Ocean Current information

🔨 2. Adapt EISES's data loading scripts, and fact class definitions to accept information from these types on sensors.

🔨 3. Adapt EISES's parsers to get data from thredds server and/or parse csv file types.

🔨 waiting to get copy of csv file format.

Fact Generation:

Rule Evaluation:

Alert Distribution:

🔨 1. Create use-case/design document based on testing Alert request list (X/J).
⬜ 2. Review possible design/development of alert distribution and web-based archives.