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Cloud-Based Ground Investigation Management System - Phase 2 Development

altoroslabs.com

Information technology

Energy & natural resources

Agriculture

Seabed mining

Challenges with Manual Ground Investigation Process

The current manual ground investigation process is time-consuming, prone to human error, and results in lengthy project delivery times. Managing diverse data formats (PDF, WebP, KML, JML) from various laboratories, including handwritten notes on scans, further complicates data processing and analysis. The lack of a centralized, digital platform hinders datadriven decision-making and scalability.

About the Client

A Norwegian software company specializing in providing digital solutions for the construction industry, focusing on optimizing ground investigation processes.

Project Goals

Develop and deploy a scalable, cloud-based platform to digitize and automate all stages of ground investigation.
Improve data accuracy and reduce human error through automated data extraction and validation.
Enhance risk assessment and decision-making by providing a digital map with soil type visualizations.
Streamline the sharing of comprehensive soil reports with stakeholders and regulatory bodies.
Enable the platform to support the company's expansion into new industries (oil & gas, agriculture, seabed mining).

System Functionality

Project Management: Create, assign, and track ground investigation projects.
Data Collection: Facilitate the gathering of soil samples and associated data from field workers.
Laboratory Data Management: Ingest and process data from various laboratory file formats (.pdf, .webp, etc.).
OCR Processing: Extract text from scanned documents and handwritten notes.
Geospatial Mapping: Display soil types on a digital map integrated with existing soil maps.
Risk Assessment: Provide tools for assessing geological risks based on soil data.
Cost Estimation: Calculate project costs based on investigation requirements.
Activity Tracking: Monitor onsite activities and progress.
Report Generation: Automate the creation of comprehensive soil reports.

Technology Stack

Microsoft Azure Cloud Platform

Cloud Native Architecture

Modular Frontend Framework

Optical Character Recognition (OCR) Engine

Geospatial Mapping Library

External System Integrations

Existing Soil Map APIs
Laboratory Information Systems (LIS)
Stakeholder Communication Platforms

Non-Functional Requirements

High Scalability (1000+ concurrent users, 1000x potential growth)
High Availability
Data Security and Compliance
Fast Performance (Page load time < 2 seconds)
Robustness and Reliability

Expected Business Impact

This project will enable the client to significantly reduce project delivery times, improve data accuracy, enhance risk assessment capabilities, and expand into new markets. The scalable platform will support future growth and provide a competitive advantage in the construction industry. The ability to leverage data-driven insights will improve decision-making across all project phases.