In today's digitally driven world Applus+ is relentlessly seeking efficient ways to automate service delivery processes by extensively applying software to our operations, properly managing inspection data through a cloud approach, and using Artificial Intelligence to automate our inspections, mainly in the data analysis and prediction phases. Additionally, Applus+ is developing a clear strategy to foster both remote inspections in real-time and remote data analysis through a cloud-based infrastructure.
a. Robotic Process Automation (RPA): RPA streamlines repetitive tasks by using software bots to mimic human interactions with digital systems. This technology enhances operational efficiency, reduces human errors, and accelerates service delivery.
b. Low-Code Programming Tools: Low-code platforms enable the rapid development of applications with minimal hand-coding. They empower businesses to create custom software solutions to automate workflows, manage data, and improve collaboration.
c. Business Process Management (BPM) Tools: BPM tools facilitate the modeling, automation, execution, control, and optimization of business processes. They help orchestrate complex service delivery tasks and ensure smooth workflows.
d. Cloud-Based Platforms: Cloud computing provides scalable, secure, and accessible storage and processing capabilities. Cloud-based platforms support data management, application deployment, and collaboration among distributed teams.
a. Remote Inspection/Assistance Applications: These applications enable experts to guide on-site operators during inspections or services remotely. They often utilize live video feeds and communication tools to facilitate real-time assistance.
b. Smart Glasses: Smart glasses provide hands-free data visualization and guidance for on-site personnel. They can display real-time data, enabling technicians to access information while performing inspections or repairs. More interestingly, smart glasses and other mobile devices make it possible to perform remote inspections with the expert located far away from the location of the asset.
c. Augmented Reality (AR) Platforms and Software: AR overlays digital information onto the physical environment, aiding operators in identifying assets, accessing relevant data, and following inspection procedures.
d. Virtual Reality (VR) Platforms and Mixed Reality Headsets: VR and mixed reality headsets provide immersive training environments for operators, preparing them for on-site inspections and service tasks.
The integration of cloud-based infrastructure in the field of remote data analysis has revolutionized the way inspections are conducted, and decisions are made. This powerful combination of technology allows data to be collected on-site by inspectors and seamlessly transferred to a cloud-based platform. Here, experts located in different places and even different time zones can access and analyze the data asynchronously, enabling swift and well-informed decision-making.
a. Mobile Devices: Smartphones and tablets equipped with powerful cameras and processing capabilities serve as on-site data capture tools. Custom mobile applications can be designed to collect specific data points efficiently.
b. Mobile apps on smartphones and tablets enable on-site data capture and real-time synchronization with back-end systems. They streamline data collection and accelerate the generation of deliverables.
a. 3D Software: Advanced 3D software supports data capture from on-site inspections and assists in generating accurate digital models for asset visualization and analysis.
b. Digital Twin: Digital twins are virtual replicas of physical assets, augmented with information on inspection processes, data about integrity and maintenance of the asset, or updated with real-time data from sensors. They enable condition assessment, performance monitoring, and in the end proper management of assets.
c. Internal Web Applications: Web-based applications facilitate data visualization and collaboration among stakeholders, allowing them to access digital models and associated information.
d. BIM (Building Information Modeling) Software: BIM software facilitates collaboration and data integration across the entire lifecycle of construction projects, providing valuable insights for asset management.
a. AI-Based Defect Recognition: AI algorithms can automatically detect defects or anomalies in assets captured through visual inspections or sensor data, enhancing accuracy and efficiency in defect identification.
b. AI-Powered Data Analytics: AI-driven data analytics provide valuable insights from the vast amounts of data collected during inspections and asset management, supporting descriptive, predictive, and prescriptive analysis.
c. Automated Generation of Deliverables: Utilizing artificial intelligence and machine learning algorithms, raw data collected on-site can be automatically processed to generate reports, performance analyses, and actionable insights. This significantly reduces the time required for manual data processing and report generation.
In conclusion, Applus+ is harnessing the convergence of automation, artificial intelligence, data management, and remote service delivery tools, enhancing operational efficiency, providing higher value to our clients, optimizing asset performance, and facilitating data-driven decision-making.
From AI-powered analytics and robotics to cloud-based platforms and remote inspection solutions, these innovative tools empower us to navigate the complexities of modern service delivery, inspections, and data management with unparalleled precision and agility. Embracing these technologies is key to staying competitive and unlocking new possibilities in the realm of inspection, asset management, and beyond.