SentientSystem

0 Reviews

0 Followers

0 Likes

Deployed by 1 company

Optimise the efficiency, behavior and lifespan of mission critical assets

Page last modified

April 11 2024

Synengco’s decision-support toolkit, underpinned by our machine-learning software, SentientSystem™, enables superior management of asset performance through the optimisation of control systems, receipt of early warnings, performance of root cause analysis and fault detection.

As the asset progresses through its lifecycle, SentientSystem’s digital twin learns the changed behavior, including the relationship with its evolving environment. This digital replication of the asset provides real time certainty in real-time and future decision making.

Pros & Limitations

Powerful simulation engine that is based on self-learning hybrid modelling methodologies.

SentientSystem™ uses empirical data in conjunction with a physics based model to configure a detailed and dynamic digital-twin of a complex asset system.

It automatically tunes component parts using real operational data and knowledge to accurately represent the asset’s behavior.

National and international partners whose knowledge and products complement SentientSystem’s innovative data analytics, decision support capabilities and knowledge bank

Recently saved a coal-fired power plant $1 million dollars a month over a year period

Levels of improvement correspond to a CO2 equivalent saving of around 180,000 tonnes per year

A smaller company with a low profile

Specification

Specification Title	Specification Description
Accuracy	A physics based model in conjunction with empirical data gives SentientSystem unparalleled accuracy.
Areas of Application	The platform is industry agnostic and can be applied to anything asset intensive: from power stations, to buildings and entire portfolio modelling.
Digitisation	Combine fundamental knowledge and experimental data with ground-breaking machine learning and AI to create a digital twin of any complex system.
Modelling	First gather data and model assets, systems and operations in a tailored digital twin.
Monitoring	Track an assets performance and gather information about its components. The digital twin lets us see exactly how your asset is operating, including changes to performance.
Optimisation	A set of optimisation instructions are applied to make and sustain significant improvements in your asset or multiple assets performance.
Prediction	Artificial intelligence is applied to predict how an asset will perform under various circumstances. It can also predict when faults will occur and how likely they are.