Introduction

 The FLDCA (Field Logging Data Capture Application) project was developed to streamline field data collection for engineering teams. The goal was to replace paper-based workflows and outdated systems with a unified, tablet-based solution that reduces inefficiencies, minimizes errors, and improves data accuracy.

Team size

6 members

Industry

Construction, Geotechnics

Technology

React Native, React JS, .NET, AWS, AWS Lambda, DynamoDB

Highlights

 Value Delivered

  • 30–40% faster data processing by eliminating manual re-entry.

  • Improved accuracy and consistency of geological field data.

  • Reduced need for multiple devices with an all-in-one tablet solution.

  • Enabled Rock Mass Logging capability, previously unavailable in existing tools.

  • Increased transparency and efficiency through seamless CoreGS integration.

Challenges
The existing data logging process faced multiple issues:

  • Manual workflows: Paper-based field notes required re-entry at the office, adding 10–40% extra time for transcription and error correction.
  • Inefficient tools: Legacy systems such as CoreGS had a cumbersome GUI, leading to inconsistent and duplicate data.
  • Bulky equipment: Engineers carried multiple devices to the field — paper or Toughbooks for notes, cameras for images, and GPS units for coordinates.
  • Missing functionality: No capability existed for Rock Mass Logging, a key requirement for geological fieldwork.

Solution
The proposed tablet application provided an all-in-one, field-ready solution that enabled engineers to:

  • Complete all tasks on a single device in the field.
  • Use an intuitive, touch-based interface for data entry.
  • Operate fully offline when no internet connection was available.
  • Integrate directly with CoreGS for seamless data transfer.
  • Add dedicated Rock Mass Logging functionality.

Technology Stack

  • Mobile Application:
    • Developed in React Native for Android tablets.
    • Web UI built with ReactJS and Material UI.
  • Backend:
    • .NET Core as the main Business API platform.
    • Serverless architecture using AWS Lambda for data processing, file uploads, and notifications.
  • Database:
    • Amazon DynamoDB (NoSQL) for business APIs and backend integration.
  • Cloud Platform & AWS Services:
    • Storage & Hosting: Amazon S3
    • CDN: Amazon CloudFront
    • API Management: Amazon API Gateway
    • User Authentication: Amazon Cognito
    • Networking & DNS: Amazon Route 53
    • Service Communication: Amazon EventBridge
    • Data Processing: AWS Glue, Amazon Athena
    • Monitoring: Amazon CloudWatch
    • Security: AWS IAM, AWS Systems Manager