Water quality monitoring is a critical factor in ensuring operational efficiency and reducing long-term maintenance costs in the oil & gas industry. Operations in this sector heavily rely on water quality, and when not monitored properly, it can lead to damage in plants and equipment, resulting in significant economic impact. Prevention of Equipment Failures Continuous…
Water quality monitoring is vital for ensuring efficiency and sustainability, particularly in the oil & gas sector. Regularly tracking water parameters like pH levels, temperature, dissolved oxygen, and contaminants such as heavy metals and hydrocarbons helps prevent equipment failure, reduces operational downtime, and enhances overall system performance. By closely monitoring water quality, companies can not…
Digitalization is revolutionizing the construction industry, bringing advanced tools and smarter processes into play. Concepts like Building Information Modeling (BIM), digital twins, and the Internet of Things (IoT) are shaping what’s known as “Construction 4.0.” These innovations enable more efficient, sustainable, and secure projects. Let’s examine how these technologies are reshaping the building sector. The…
The collapse of the Morandi Bridge in Genoa in 2018 exposed the severe consequences of insufficient management of geological and geotechnical risks. This case highlights the urgent need for better monitoring and maintenance of aging infrastructure. Background of the Case Study Constructed in the 1960s, the Morandi Bridge spanned an area with complex soil conditions…
Geological and geotechnical risks play a crucial role in the safety and durability of bridges, especially in geologically complex regions like Italy. Proper identification and management of these risks are vital for infrastructure resilience. Types of Risks Geological Risks – Landslides: Unstable slopes can jeopardize the foundation of bridges. For example, the mountainous regions in…
In today’s data-driven landscape, having reliable information is essential for making informed business decisions. Inaccurate data can lead to costly and damaging choices for any organization. Let’s explore how to measure and enhance data reliability to optimize decision-making processes. How to Measure Data Reliability To ensure data reliability, it’s crucial to evaluate data against…
Interpreting monitoring system data is crucial for strategic decision-making across various sectors like manufacturing, healthcare, and environmental management. This guide covers essential steps to ensure accurate data interpretation. Understanding the Context Monitoring Objectives First, clearly define your monitoring goals. Are you tracking equipment efficiency or patient health? Knowing your objective helps focus the analysis. …
Integrating Building Information Modeling (BIM) with Structural Health Monitoring (SHM) is an increasingly common approach in advanced structural monitoring. Here are some real-world case studies where this combination has made a difference. Stura Bridge in Turin In the Stura Bridge project in Turin, Italy, an integrated BIM-SHM system was used to automate structural monitoring. This…
What is BIM? Building Information Modeling (BIM) is a digital representation of a building’s physical and functional characteristics. BIM creates a virtual model containing comprehensive details related to construction, maintenance, and lifecycle management. By centralizing data, BIM enhances collaboration among architects, engineers, and facility managers, ultimately improving planning and maintenance practices across the structure’s lifecycle. …
Introduction Maintaining historic infrastructures like the Queensferry Bridge, built in 1890 and exposed to extreme weather, poses considerable challenges. IoT historic bridge monitoring systems enabled effective preventive maintenance, ensuring safety and stability without compromising the infrastructure integrity. Advanced sensor network to detect deformation and vibration In 2020, an IoT sensor network was installed on Queensferry…
Introduction IoT structural monitoring (SHM) systems have transformed infrastructure management, enabling continuous monitoring of structures like buildings, bridges, and more. These systems use sensors and cloud platforms to gather and interpret data on factors such as strain, vibration, and temperature. Here’s how they work and why understanding data analysis is essential for effective infrastructure management. …
Introduction Automated monitoring systems are transforming data accuracy by enabling real-time quality checks and reducing human error. For industries relying on data-driven decisions, these systems are critical to maintaining reliable and consistent data flow. In this article, we’ll examine how automation in data monitoring supports immediate insights and proactive decision-making. Real-time data validation Automation technology…
