Aveva, an industrial software company, is set to launch a suite of new artificial intelligence tools designed to enhance engineering and design capabilities within its Unified Engineering platform. This initiative aims to enable project teams to work collaboratively on the same data in real time, streamlining the design process while reducing overhead costs.
Rob McGreevy, Aveva’s chief product officer, emphasized the potential of these tools to transform project workflows. “Our new AI tools are assisting with the creation of digital twins, empowering project teams to collaborate on the same data in real time, launch quickly with minimal overhead, and drive global, data-centric engineering,” he stated. McGreevy added that the tools would not only accelerate project timelines but also save time and money through reduced IT demands and increased transparency.
The newly introduced AI tools consist of several features, including an industrial AI assistant that aids in project engineering tasks and captures critical product usage knowledge. Integrated directly into the engineering tools, this assistant aims to facilitate project work and alleviate the onboarding process for new employees.
Another significant addition is the generative design AI assistant, which analyzes design constraints based on user directives and requirements to produce optimized layout options. An example provided by Aveva illustrates its impact on pipe routing during the Pre-FEED/FEED stages, highlighting improvements in productivity and substantial time savings.
In addition, the predictive design AI assistant empowers users to create bespoke machine learning models tailored to unique in-house design challenges, all without any coding requirements. This feature is expected to democratize access to advanced analytics for engineering teams, enhancing their ability to address specific project needs.
The fourth tool, the intelligent point cloud framework, automatically processes point cloud data, integrating AI classification from the AVEVA Point Cloud Manager to streamline data handling. This capability is designed to enhance the efficiency of project design by enabling engineers to better manage and utilize complex datasets.
According to Peter Reynolds, an industry advisor at ARC Advisory Group, the introduction of these AI tools represents a pivotal moment in the evolution of design engineering for process manufacturers. “AI is becoming a powerful tool to enhance efficiency, accuracy, and innovation across nearly every discipline, from mechanical and civil to electrical and process engineering,” he said.
Aveva asserts that its Unified Engineering platform lays a robust data foundation for industrial AI applications, benefiting from its multidiscipline approach that allows project teams to leverage unique AI capabilities. The company plans to build on this initial offering by incorporating industry-specific knowledge and data-centric workflows, positioning its tools to extend beyond the capabilities of traditional single-discipline engineering solutions.
As industries increasingly embrace digital transformation, the integration of AI tools such as those offered by Aveva is poised to redefine project management and design methodologies. The ongoing development of these technologies underscores the growing importance of data-driven approaches in enhancing operational efficiency and fostering innovation across various engineering sectors.
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