Monitor, measure, and maintain industrial processes with data acquisition systems designed for predictive maintenance and Industry 4.0.
Establish data acquisition requirements, analysis needs, and presentation considerations to create a robust system architecture.
Identify and map machine failure parameters to enable predictive analytics and proactive maintenance.
Create a connected system blueprint integrating assets, sensors, communication protocols, gateways, cloud, and visualization tools.
Our PM Data Acquisition process ensures a seamless setup for capturing critical data, enabling predictive maintenance and optimized industrial operations.
Today's plant engineers rely on data acquisition systems to monitor, measure, and maintain processes, ensuring optimized production conditions, preventive/predictive maintenance, and timely equipment repairs. PiLog's PM Data Acquisition architecture is tailored to capture the array of measurements needed to monitor industrial equipment health effectively.
Designed for Industry 4.0, our systems analyze production data to identify patterns and predict issues before they occur, enabling proactive asset management. Our solutions are financial and maintenance application-agnostic, ensuring flexibility and compliance with industry standards.
Deploy sensors to capture real-time data from manufacturing assets, enabling continuous monitoring.
Analyze production data to identify patterns and predict potential equipment failures before they occur.
Utilize cloud-based visualization tools to present actionable insights for informed decision-making.
Integrate communication protocols and gateways to ensure seamless data flow across systems.
Accurately defining data acquisition requirements and analysis needs is critical to building an effective system tailored to specific industrial processes.
Integrating diverse assets, sensors, business systems, and cloud platforms requires robust communication protocols and gateways to ensure compatibility.
