Predictive Maintenance Management Towards Enhancing Telecommunication Tower Resilience and Adaptability through Climatic Change Considerations

Abstract

Climate change is an issue receiving attention lately as its effects are affecting the world and engineering structures. The telecommunication towers being an essential infrastructure, especially in the era of the industrial revolution need to be designed and maintained to adapt to prevailing climate change. It is pertinent to adopt these changes to cater for climatic change-induced risks, enhancing the adaptability and resilience of the telecommunication towers through the use of comprehensive data analysis and advanced monitoring tools. Enhancing telecommunications tower structures would assist in promoting structural performance, safety, and improved service downtime. This study presents predictive maintenance measures and their applications towards improving telecommunication tower adaptability and resilience with considerations for climatic change. The study took cognisance of some predictive maintenance techniques, their importance and limitations towards enhancing telecommunication tower structures. Some of the explored techniques are structural fault detection, structural condition-based and real-time analytics while also looking into the adoption of the Internet of Things (IoT), Machine Learning (ML), and Artificial intelligence (AI) in the context of predictive maintenance management of telecommunication tower structures through climatic change considerations. The study also highlights some valuable insights as recommendations for policy-makers, researchers and industry players to effectively enhance telecommunication tower structures as they are exposed to adverse weather conditions.