GE Vernova APM Features

Monitor asset use across multiple locations and keep history.

Track asset reliability data such as downtime or idle time.

Identify various types of risks such as non-compliance or safety violations.

Receive timely notifications about system issues or abnormalities.

Collect data related to device processes and conditions.

Deliver dashboards that display KPIs and live data.

Analyze performance for individual assets, by category or location.

Predict future trends and risks that may impact asset performance.

Run detailed queries for searching, sorting, and analyzing data.

Create personalized dashboards for observing and interacting with data.

Contains tools to visualize data sets or workflows.

Offers actionable insights or relevant findings from unstructured data sets.

Track the inspection process to ensure it follows procedures and complies with regulations.

Analyze inspection metrics such as cost of quality or Overall Operations Effectiveness (OOE).

Generate nonconformance records and reports for defective products or noncompliance.

Provides useful pre-defined data connections to various types of IoT sensors and objects.

Provides a robust external interface for integrating data, logic and workflows with other software applications.

Maintains an efficient, reliable data flow with established sources.

Learn about overall operational performance from device observations.

Make observations about environmental and workplace conditions.

Recognizes a variety of sensor and device types.

Has a centralized dashboard of connected devices for users to interact with.

Modify device or sensor settings from anywhere.

Allows for remote execution of device actions and events.

Send bulk updates and upgrades directly to devices.

Offers simple, intuitive interface for designing IoT applications with little or no coding.

Includes pre-built templates for basic IoT applications or components.

Allows for designing and deploying of connected system workflows.

Supports a variety of connected objects and sensor types.

Releases the live application for its intended use.

Lets users add data from existing sources when creating the initial application or changing data sources.

Continuously updates data as users or external data sources are edited.

Encrypts or provides some form of firewall to prevent external parties from accessing sensitive data.

Offers pre-built integrations with other development software and/or IoT software.

Provides ability to manage application and maintenance from build, throughout the release, and until its deactivation.

Generates data related to application usage and performance.

Connect disparate systems to form a unified intelligent manufacturing architecture.

Allows for remote control and modification of individual devices or systems.

Design intelligent workflows for specified devices, such as automated adjustments and event triggers.

Integrates with existing IoT hardware.

Has a centralized dashboard for users to interact with.

Automate processes for individual devices or unified systems.

Offers assistance with employee, product, and equipment safety.

Observe and respond to environmental changes.

Improves resource utilization across connected devices.

Assists with overall improvement of product quality and volume.

Provides timely insights into equipment health and conditions for proactive maintenance.

Provides pre-built or customizable performance reports.

Create realistic models of physical assets.

Provides a functional, intuitive interface for building digital twins.

Has a variety of tools and features to enhance model designs.

Offers pre-built templates for digital twins based on accurate models of physical assets

Allows for simulation of real-life data flows and processes involving other systems

Interact with specific components within simulations.

Simulate various potential events related to specific assets and processes.

Offers data and visualizations for asset performance, output, and resource usage.

Perform inspections and testing while the equipment is in service

Gather data about equipments and their environmental characteristics such as temperature or humidity.

Define and implement maintenance schdules based on real ime data and precitive analysis.

Monitor cvarious type of assets such as equipment, facilities, or networks

Use IoT to monitor assets accross multiple locations and work centers

Perform diagnostics and compare with historical failure data

Allow users to find the sources of failure patterns and anomalies.

Notify users when there is a risk of failure or malfunction

Identify the root cause of equipment failures

Recommend preventive actions to to address issues before they occur.

Identify risks that may impact asset performance accross multiple locations.

Implement action plans which can be prioritized based on severity.

Capture inspection data including photos and video, both online and offline.

Generate inspection reports using the information gathered during the inspection.

Allow users to create ad-hoc or unplanned inspection tasks.

Ability to create configurable forms and checklists to capture inspection information.

Ability to define criteria and workflows to approve or reject inspection tasks.

Organize inspection tasks based on constraints such as inspector availability.

Allow users to create procedures and workflows for multiple types of inspections.

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Engages in human-like conversation for task delegation