Ship Weather Monitoring System

Overview

At Forward Slope Inc., I developed data sanitization tools in Java for weather monitoring systems deployed on Navy ships. These tools ensured data integrity and reliability for fleet operations in various maritime conditions.

The Challenge

Weather data collected from ship-based sensors needed to be processed before it could be used for operational decisions:

• Raw sensor data often contained anomalies and errors
• Data needed to be normalized across different sensor types
• Invalid readings needed to be identified and handled
• Processed data needed to meet strict quality standards

Solution

Built Java-based tools for processing weather data streams:

Data Validation

• Range checking for temperature, pressure, humidity values
• Temporal consistency validation
• Cross-sensor correlation checks
• Anomaly detection algorithms

Data Transformation

• Unit conversions and normalization
• Coordinate system transformations
• Time zone handling for distributed fleet
• Format standardization for downstream systems

Quality Assurance

• Automated testing for data processing pipelines
• Logging and monitoring for data quality metrics
• Alert systems for data quality issues

Results

• Improved data quality for fleet weather systems
• Reduced manual data review requirements
• Enhanced reliability of weather-dependent operations
• Created reusable components for other data processing needs

Skills Developed

• Java development: Core Java, collections, streams API
• Data processing: ETL patterns, data validation
• Quality assurance: Test-driven development, edge case handling
• Domain knowledge: Weather data, sensor systems, maritime operations