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TwinWorX®
TwinWorX® Designer
TwinWorX® Designer is a visual tool that helps TwinWorX® administrators design, interact with and visualize Digital Twins instances.
Designer enables the creation of knowledge graphs based on digital models of entire environments. These digital models can represent various entities, such as buildings, rooms, devices, and people, and their relationships. Designer also enables digital models to be mapped to 2D and 3D geospatial visualizations.
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Intuitive visual designer toolset
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Model people, spaces and things
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Easily build digital twin environments
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Understand data through relationships and interdependencies
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Import BIM models for meshing twins in 3D
Core Capabilities
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Single Pane of Glass VisualizationReal-time dashboard with configurable views Performance scores, baselines, by system, processes, sub types Historical trends Responsive UI for desktops and mobile devices
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Configurable Rulesets LibraryStandards-based (NIST, ASHRAE) Library of Standard analytic functions and rules Configurable analytic queries and rules expressions Optimize rules with Human Expertise, capturing their dynamic understanding of the environment and contextualizing the problem
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HistorianData capture, validation, compression, and aggregation Captures operational process data from multiple sources at lightning speed Reliably records faults, events, alarms and other system generated data Ensures continuous access to data via redundancy and high availability
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Stream AnalyticsEvent-driven, end-to-end serverless streaming pipeline for demanding, mission-critical, continuous-intelligence applications that are: Analyzes time-series data and uses FDD rules to detect, diagnose, identify, execute algorithms, evaluate and rank events.
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Fault Detection & DiagnosticsDynamic, contextualized, machine enhanced fault detection Detect and diagnose equipment operational or efficiency faults Identify and prioritize control issues Advise on improving equipment performance Autonomously optimize performance through closed-loop feedback
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Streaming Data Sources and IntegrationAddress diverse, heterogeneous environments with a secure, scalable, hybrid architecture Retrieve data from various device and system sources including: Azure IoT Hub, 3rd Party IoT systems Messaging systems (MQTT, Kafka, TCP, JMS), Databases (PostgreSQL, RDBMS, NoSQL) Services (HTTP, gRPC), File systems, E-mail and others. Transform data on JSON, XML, Text, Avro, and CSV. Secure, encrypted, reliable processing through data preprocessing, fault tolerance, and error handling.
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AlarmingGenerates alerts based on static and dynamic thresholds. Correlates data to detect event anomalies and missing events. Supports scheduling, digest, and auto-retry of notifications. Publishes alerts via various event sinks such as email, and MQs. Portal: acknowledge, annotate, and assign issues for corrective action. Supports integration to work order systems / CMMS
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