- Sensor Network: A network of various sensors strategically placed on the infrastructure to collect data on parameters like strain, vibration, temperature, crack development, tilt, etc. These sensors can be wired or wireless depending on the application.
- Real-time Monitoring: Capability to collect data continuously or at regular intervals to enable real-time assessment of the infrastructure’s health.
Data Analysis and Management:
- Data Acquisition System: Hardware and software that gathers the sensor data and stores it in a centralized location.
- Data Processing and Analysis: Tools to clean, organize, and analyze the collected data to identify trends, anomalies, and potential problems.
- Health Assessment: Algorithms that evaluate the data and provide insights into the overall health of the infrastructure, including the identification and quantification of any damage.
Alerts and Reporting:
- Thresholds and Alarms: Ability to set thresholds for critical parameters and generate alarms when these thresholds are exceeded, notifying relevant personnel of potential issues.
- Reporting Tools: Features to generate reports on the health of the infrastructure, including historical data, trends, and recommendations for maintenance or repair.
Additional Features:
- Scalability: The ability to add or remove sensors and monitor additional infrastructure components as needed.
- Remote Access: Capability to access and analyze data remotely for improved monitoring and decision-making.
- Integration with Building Management Systems (BMS): For infrastructure that is part of a larger building complex, IHMS can integrate with BMS for a more holistic view of building health and performance.
- Machine Learning and AI: Advanced systems can leverage machine learning and artificial intelligence to identify complex patterns in the data, predict future problems, and optimize maintenance strategies.
