Social Infrastructure
Achieving sustainable social infrastructure by enhancing safety, quality of life, and productivity
Comprehensive support for infrastructure maintenance, contributing to the streamlining and sophistication of plannning, inspection, diagnosis, and corrective actions.
As a vast number of infrastructure assets—such as roads, water and sewage systems, and power facilities—are deteriorating simultaneously and extensively, the need for inspection and corrective action is becoming increasingly urgent in many countries, especially in developed nations. While the cost of maintenance and renewal is accelerating, the number of skilled technical personnel with operational know-how is declining, making it essential to improve the streamlining and sophistication of maintenance operations.
Fujitsu’s Social Infrastructure uses AI diagnostics and digital twin technologies to enhance the sophistication of infrastructure maintenance operations. It proposes optimal replacement timing based on accumulated data, leveraging a diagnostic support application for efficient data collection, AI-based degradation diagnostics for objective and quantitative assessments, and integration with asset management systems. This contributes to life-cycle cost optimization and the realization of sustainable infrastructure through proactive maintenance.
Our approach
Streamlining on-site operations
On-site operations such as close-up visual inspections, once performed by skilled technical personnel, are streamlined through mobile imaging with diagnostic support applications and the screening of data collected by vehicles.
The advanced operation
In the deterioration diagnosis process, AI can be leveraged to perform objective and quantitative assessments, enabling the standardization of evaluation criteria. Additionally, large volumes of collected data can be processed efficiently.
Optimizing asset management
Integrating and utilizing accumulated data on equipment, environment, and deterioration diagnostics enables the identification of optimal timing for equipment replacement, leading to the reduction and optimization of life-cycle costs.
Solution
