Summary + Thesis Draft #2

 Summary:

Proqio is an advanced engineering software designed for civil engineering projects, offering powerful features that replace inefficient manual methods with intelligent automation. According to the official Proqio website (2022), its key capabilities include real-time monitoring, predictive maintenance, customizable data visualization, and risk mitigation, all of which enhance efficiency while reducing labor-intensive processes. By integrating data from geotechnical sensors, UAVs, LiDAR, and satellite imagery, Proqio provides precise, up-to-date insights into infrastructure conditions (Proqio, 2022).

According to Encardio Rite, the platform utilizes advanced monitoring tools like strain gauges, accelerometers, and fiber optics to continuously assess structural health. Through AI, machine learning, and robotics, Proqio enables proactive decision-making, minimizing risks, downtime, and costly failures. Most importantly, by optimizing resource use and promoting data-driven sustainability, Proqio aligns with modern engineering’s push toward eco-friendly and resilient infrastructure. Through its seamless integration and analytics, Proqio transforms civil engineering into a smarter, more sustainable field

Thesis:

In today's rapid evolving world, sustainable development is of top priority, thus making the traditional manual methods in civil engineering inefficient. With the help of Proqio, it produces real time data analysis, optimize project performance. Most importantly, it also promotes sustainability development.

Support: (Using PEEL structure)

Support 1:

Traditional manual methods in civil engineering often lack the efficiency and comprehensiveness required for modern infrastructure projects. According to Encardio Rite, advancements in remote sensing techniques, such as InSAR, hyperspectral imaging, optical imaging, and thermal imaging, have revolutionized infrastructure monitoring by providing detailed and accurate data. These advanced data collection methods offer precise and comprehensive insights into infrastructure conditions, surpassing the capabilities of manual inspections. By integrating these advanced data collection techniques, Proqio enhances project performance and supports sustainable development through efficient and accurate monitoring.

Support 2:

Manual data processing in civil engineering can lead to delays and inefficiencies in decision-making. According to the Proqio website, Proqio offers real-time data visualization on dynamic maps, allowing engineers to access and interpret data promptly. This immediate access to data enables timely decision-making, reducing the reliance on manual data processing and minimizing potential delays in addressing infrastructure issues. By providing real-time data visualization, Proqio optimizes project performance and promotes sustainable development through proactive infrastructure management.

References:

Encardio Rite. (n.d.). Metasensing in infrastructure: Trends & technologies. Encardio Rite. https://www.encardio.com/blog/future-trends-metasensing 

Proqio. (n.d.). Infrastructure Data Intelligence Platform. Proqio https://www.proqio.com/