Dam Monitoring Using Artificial Intelligence

Introduction

Dams are an important aspect of public infrastructure which serve to provide benefits such as electricity, water and effective control of water bodies. For optimal functioning, dams must be regularly maintained and critical data measured for safety and efficient production. The most important causes of failure include structural problems such as cracks that result in overflow. Accidents caused by lack of maintenance and proper monitoring of dams can result in great loss of life and property. For this reason, dam monitoring tools and facilities have gained ground and use in infrastructure management. The systems that are used usually consist of sensors that detect and log data. Analysis is then carried out on the information gathered and alarms are programmed to warn engineers and other workers of potential failures and dangers. 

Artificial intelligence in Dam Monitoring

Systems for analysing data and predicting outcomes have great importance in dam monitoring. There are several applications for artificial intelligence:

Early Notification Systems: AI systems can be used to track information overtime regarding natural phenomena which can affect the structure and integrity of dams. The long term effects of natural aging such as erosion or natural disasters such as earthquakes can be assessed using AI systems that measure critical data values and log them over time. Unusual changes such as heavy rainfall and ground motion can be quickly detected to enable operators avert disaster. Mobile apps have been developed that connect to systems used to monitor dams and alert officials when the volume of water held in reservoirs exceeds the capacity of the facility and poses a danger. Some of these can even be used remotely and can be easily operated even in areas without power. Alarm systems are used to deliver early notifications and warnings when the collected data predicts overflow or structural problems that can result in infrastructural damage. The data collected can also be utilized in designing safety protocols and algorithms to be followed by operators in assessing risk and taking steps to make prompt fixes and avoid accidents 

Flow Monitoring Systems: Similar systems are used to monitor water pressure in pipes and other parts of the systems that carry water to and away from the dams. These can be combined with flow monitoring systems that are able to collect information on the amount of water flowing in and out of the dam especially in areas with limited access. 

Outage Predictions: Following this, demographic data can be computed by artificial intelligence systems to determine the populations at risk of power outages, water shortages and accidents caused by dam failures. This can be important in making emergency provisions for at risk populations when failures or accidents are imminent.

Simulations: Monitoring systems can also be employed during the process of building a dam in order to ensure that guidelines are acceptable and that a design will actually provide the best combination of efficiency and safety. AI techniques can be used to run dam simulations and forecast challenges that affect the operations of the dam.

Satellite monitoring: Currently, geospatial techniques can be employed in combination with satellite monitoring to remotely assess  dams and receive information in real time. This can also be important in comparing multiple dams and discovering new ways to increase productivity.

Predictive Maintenance: With time, the effects of climate change decrease the lifespan of these structures and increase the risk of failure. Predictive analysis can be used to determine which dams are due for maintenance and to determine how to prioritize them for restructuring.

Advanced AI in combination with several other new technologies shows great promise in improving the areas of construction, performance monitoring, safety and maintenance of dams. Application of these remote systems also has an advantage of eliminating the need for workers in risky locations and providing a steady flow of information. 

References 

https://thingslog.com/blog/2021/11/09/why-dam-monitoring-is-important/

https://thingslog.com/blog/2021/11/09/why-dam-monitoring-is-important/

https://www.encardio.com/dam-monitoring

https://www.adasasystems.com/en/news-reader/ADASA_ArtificialIntelligence_dammonitoring_warningsystems_NewSouthWales_Australia.html



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