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Version: v5.0

Release notes

Platform Workbench 1.2 release notes#

Platform Workbench 1.2 introduces the following new features and enhancements:

AI Service node#

One of the main features of this new release is the introduction of powerful new AI functionality. The AI Service node is now available in the project model and allows you to set up the following AI features:

  • Agents: Define and configure intelligent AI agents which can process user prompts, retrieve real-time data and return intelligent, context-aware responses.
  • Knowledge Bases: Upload documents of information and turn them into knowledge bases which the AI Service can query using Retrieval-Augmented Generation (RAG) methods.
  • Teams: Group multiple agents into an AI team, which coordinates the agents to interact sequentially to achieve a goal.

Natural language interface#

Platform Workbench 1.2, now includes an AI chat component which supports a natural language interface. This presents the user with a chatbot interface where they can request information on a digital twin. This allows users to interact with AI teams using a natural language query such as:

"Fetch a list of all HVAC units which are operating for 50 per cent or more hours over a one week period".

Streamlined UI#

In Platform Workbench 1.2, the user interface has been simplified to present just the main options that you use most frequently. Some older, less useful options have been removed. A new design has also been applied to the menu options in the left side-bar.

Platform Workbench 1.0 release notes#

The first version of the Platform Workbench offers the following features:

Ability to easily create a digital twin project#

The Workbench allows you to quickly implement a digital twin environment on the platform. It allows you to create a back-end for a digital twin and then configure it to meet your requirements.

The Workbench allows you to easily create a digital twin project using the following features:

  • A knowledge graph model which shows the platform components as nodes in the knowledge graph. This is the project model.
  • Right-click to easily edit nodes in the project model and configure components as required.
  • Extensive menu options and extended edit functions allow you to fine-tune your project model.

Option for importing ontology data#

You can easily import ontology files to your project. Using either the side-bar menu or via editing the Ontologies node. The following actions are supported for handling ontology data:

  • Import ontology
  • View ontology
  • Manage ontology

Facility to upload assets data#

The Workbench allows you to upload a wide range of asset data to the project model. You can upload asset data such as:

  • Upload any type of file using the Files node edit options
  • Import BIMPK files using the GraphicsModels node edit options
  • Import data models using Collections node edit options

These files can then be easily related to assets.

Easy to use interfaces for configuration#

The Workbench interface is structured around a knowledge graph where nodes can be manipulated and edited on screen. In edit mode, you can easily configure a wide range of project model settings including:

  • User configuration, by editing the UserConfigs node
  • OMAPI endpoints, by editing the OMAPI node
  • Orchestrators, by editing the Orchestrators node
  • Telemetry channels, by editing the Telemetry node

Script Editor feature#

The Script Editor option provides facilities for users to create, validate, manage, and run project scripts. The Script Editor offers the following:

  • Uses AI to assist you with scripts
  • Presents detailed explanations for a script

Ability to run queries#

The Workbench allows you to run various queries on the project mode data. You can enter a query as a JSON object.

Other query features include:

  • You can create graph queries and related queries.
  • There are features for visualization of query results and relationships.