Introduction
Condition Monitoring is a module that enables production planners and shop floor operators to monitor, analyze and improve machines in the manufacturing plant.
Condition Monitoring comes with a Rules Manager which provides all functionalities so that the user can configure rules by himself in order to automatically analyze his data in Nexeed IAS and trigger deviations to automate actions e.g. ticket creation or notification.
With Condition Monitoring a preventive maintenance is enabled. With the integration of Data Analytics AI algorithms we are supporting the end users with the detection of irregularities.
Key Features
Condition Monitoring
Live Measurement and Machine Messages:
Production planners receive real-time measurements and machine messages from the shop floor to stay updated on production status using machine data.
Visualization of Measurements and Events:
Production planners can access a visual representation of measurements and events from the shop floor to evaluate the current production state at a glance.
Live View of Measurements in Selected Timeframe:
Production planners obtain a live view of measurements within a chosen timeframe (e.g., 1 minute, 30 minutes) to monitor progress, compare values, and identify deviations visually.
Aggregation of Incoming Measurements and Events:
Production planners aggregate and store incoming measurements and events for historical data analysis, ensuring important data is preserved.
Historical Analysis via User Interface:
Production planners analyze historical measurements and events using the user interface, utilizing different aggregation types and levels for comprehensive insights.
Export of Historical Data:
Production planners can export historical data for further examination, even after the retention period expires, enabling thorough event analysis.
Long-Term Analysis of Historical Measurements:
Production planners can examine historical measurements and their targets over extended periods to gain insights into machine behavior and performance.
Efficient Read and Write Operations with Time series Database:
Production planners efficiently read and write raw measurements and machine messages using InfluxDB, optimizing access to historical data.
Real-time Evaluation with Rule Functions:
Production planners evaluate live data using rule functions to swiftly identify deviations, aiding in early detection of issues like filter blocking.
Live View of Recent Machine Events:
Production planners can access a real-time view of the most recent machine events (e.g., machine messages) to identify trends and create automated event detection rules.
Automatic Analysis of Event Sequences:
Automatically analyze sequences of events to identify the root cause of a target event, streamlining troubleshooting processes for production planners.
Personalized Standard View:
All users can customize the standard view based on personal preferences, enhancing daily operations and making the interface more user-friendly.
Access to Device Master- and Metadata:
Production planners retrieve essential information such as device master data and metadata from Condition Monitoring to have comprehensive insights without the need for model changes.
Rule-based Deviation Detection:
Production planners utilize rule functions to assess live data and quickly spot deviations, aiding in tasks like filter blocking detection.
Easy Machine Identification for Operators:
Provide machine operators with an easy-to-use system to locate machines, enhancing efficiency and minimizing downtime.
Configuration of New Rules for Devices:
Enable applicators to create new rules for devices or device types to effectively monitor plant operations as needed.
Rule Activation and Deactivation:
Allow applicators to enable or disable existing rules for efficient line switches while maintaining the same machine setup (different parts).
Rule Adaptation for Devices:
Empower applicators to modify rules for devices or device types to accommodate changes in event creation conditions.
Rule Deletion for Devices:
Allow applicators to delete rules for devices or device types that are no longer necessary, streamlining the Rules Management process.
Rules Management
Rule Overview and Customization:
Applicators and production planners can view all existing rules and customize the columns for the desired information, ensuring a clear overview and easy access.
User Preferences Saving:
Applicators and production planners have the ability to save their user preferences, allowing for quick access to important information in their daily tasks.
Configuration of New Rules for Monitoring:
Applicators can create new rules for devices or device types, enabling effective monitoring of the plant operations based on specific criteria.
Adaptation of Rules for Changing Events:
Applicators can modify rules for devices or device types to accommodate adjustments in event conditions, ensuring accurate monitoring.
Activation and Deactivation of Rules:
Applicators can activate or deactivate existing rules, facilitating efficient line switches while maintaining consistent machine setups for different parts.
Traceability of Rule Changes:
Applicators want to track when and why a rule was activated or deactivated, providing traceability and insights into the rule’s history.
Copying Rules for Efficiency:
Applicators can copy rules for devices or device types, minimizing efforts when creating similar rules for different devices.
Rule Deletion:
Applicators can delete rules for devices or device types that are no longer required, simplifying the Rules Management process.
Automatic Ticket Creation for Events:
Maintenance operators can automatically generate tickets when triggered events occur, eliminating the need for constant manual route checking.
Seamless Transition to Device Analysis:
Production planners can jump directly from a rule to the device analysis, allowing them to assess measurements and verify the rule’s validity.
Access to Event List from Rules:
Production planners can navigate from a rule to the event list, gaining insight into rule-triggered events and their current relevance.
Analysis of Historic Data from Rules:
Production planners can seamlessly transition from a rule to the analysis of historical data, inspecting past device measurements to determine the ongoing validity of the rule.