Project Information Management Systems in the Deep Foundations Industry White Paper-PDF

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The Deep Foundations Institute’s white paper introduces Project Information Management Systems (PIMS) and their growing role in geotechnical and deep-foundation construction. A PIMS combines devices, infrastructure, data, software, visualization tools, quality controls, and organizational procedures to collect, organize, analyze, present, share, preserve, and archive project information.<br /><br />Projects generate diverse data, including equipment measurements, geotechnical instrumentation, drawings, photographs, design documents, environmental records, and quality-control reports. Bringing these sources together—often with GIS and 3D models—helps teams assess whether work meets design intent and acceptance requirements. Owners, engineers, contractors, suppliers, and the public can benefit through faster reviews, improved construction oversight, better equipment and production insights, and stronger records that can reduce risk and liability.<br /><br />The paper describes four levels of capability: basic rig data acquisition; networked, near-real-time rig data systems; basic PIMS that combine project information but rely on separate, often manual data processing; and advanced PIMS that integrate data collection, storage, analysis, visualization, quality controls, BIM, and GIS. Advanced systems can provide decision support, alerts, and broad access through web portals.<br /><br />Future developments include real-time analytics and machine learning, greater use of instrumented equipment and Internet of Things connections, and virtual, mixed, and augmented reality for exploring project models and accessing subsurface or live data. Adopting these systems requires planning for data management early in a project and collaboration between geotechnical specialists and technology professionals.<br /><br />The paper concludes that PIMS can improve quality, safety, transparency, and owner acceptance while reducing errors and project risk. Over time, systematic data collection and analysis can support more durable, sustainable, and resilient infrastructure.

Keywords

Project Information Management Systems

PIMS

geotechnical construction

deep foundations

data integration

BIM

GIS

real-time analytics

machine learning

quality control