Development of a Scalable Cloud-Based Ground Investigation Management System for Construction Industry

Traditional ground investigation procedures involve manual sampling, laboratory testing, and data compilation, which are time-consuming, prone to human error, and hinder timely project delivery. Disparate data formats, handwritten notes, and unstructured test results complicate data integration and analysis, affecting risk assessment and decision-making capabilities.

A mid-sized construction firm specializing in ground investigation and site analysis, seeking digital transformation to streamline soil testing, risk assessment, and construction planning processes.

• Digitize and automate the entire ground investigation workflow from planning to reporting, reducing manual effort and errors.
• Create a scalable, cloud-native system capable of supporting a minimum of 1,000 active users simultaneously with potential for 1,000x scaling.
• Integrate geospatial soil type data on interactive maps to improve risk assessment and site analysis.
• Enable processing of semi-structured and unstructured data formats, including PDFs, scans with handwritten notes, and various file types.
• Implement features for managing site data, scheduling onsite activities, risk assessment, cost estimation, and result aggregation.
• Ensure data security and compliance when handling sensitive location and research data.

• Process Management Module: Organizes and assigns tasks at each investigation stage.
• Site Data Visualization Module: Displays geospatial data and soil types on digital maps, supporting various formats like KML, JML.
• Data Import and Processing Module: Handles multiple file formats, including PDFs, WebP, scans with handwritten notes, with OCR integration for text extraction.
• Risk Analysis Module: Facilitates identification and mitigation planning based on soil and site data.
• Cost Estimation Module: Provides budget forecasts based on investigation scope and risks.
• Activity Tracking Module: Records onsite activities and resource utilization.
• Test Results Aggregation Module: Compiles and analyzes laboratory reports and soil test data.

• Geospatial mapping services supporting formats like KML, JML
• Laboratory information systems for test result data exchange
• Document management systems for handling PDFs, scans, and images
• Security and authentication services to ensure data confidentiality

• Scalability to support at least 1,000 active users with potential for 1,000x growth
• High availability and fault tolerance via cloud infrastructure
• Secure handling of sensitive location and research data
• Performance optimization to maintain page load times under 2 seconds
• Agile development approach for incremental feature delivery and continuous improvement

The proposed digital ground investigation system aims to significantly reduce manual processing time, decrease human error, and accelerate project delivery timelines. By enabling data-driven decision-making and scalable cloud infrastructure, the system is expected to support over 1,000 concurrent users, improve risk assessment accuracy, and facilitate expansion into related industries such as oil, gas, and mining, ultimately enhancing operational efficiency and stakeholder confidence.