Artificial Intelligence for Hydropower-plants
Empower your decision-making capabilities for operations and maintenance, by exploiting the insights within your data.
What is Tyde
Tyde is a cloud-based software product running on your preferences. It is a home for your data and a place where your data makes sense, in the context of Hydropower. You can use the insights produced by Tyde to plan maintenance smarter, reduce downtime and avoid manual inspection rounds.
How It Works
Using state-of-the-art Artificial Intelligence techniques, operators gain insight into the states of the various assets that the Hydropower-plants consists of.
Sensor Monitoring
Asset Diagrams
Machine Learning
Data Aggregation
Sensor Monitoring
Tyde connects to sources such as SCADA-systems , local control equipment or third-party IoT telemetry devices. Many protocols are supported, for example OPC-UA , AMQP and MQTT. The data typically consists of time-series , control-signals and source-metadata. This is all taken care of by Tyde, it is stored and put into a context of what they are measuring and controlling. You can visualize both the raw-data directly, and also the aggregates and analytical results that are being calculated on the fly, using the Tyde web-portal.
Asset Diagrams
Hydropower-plants consists of various equipment and tools, which we refer to as assets. The assets have a hierarchical relationship with each other, which defines the context of the Hydropower-plant. The context can be built manually using tools available from the web-portal, you can use already-made power-plant templates or upload Excel-files containing the necessary information. The resulting asset-diagram can then be seen in the web-portal , and associations between data-sources and the assets can be made. Support for the IEC-81346 standard, which RDS-Hydro is based on, is included. In particular, the functional-aspect.
Machine Learning
Our sophisticated machine-learning algorithms is continuously monitoring the asset-diagrams and the realtime data entering the system. So-called “online-learners” are keeping our neural-network based asset-models up to date with the newest data. Data-scientists or other advanced operators may use the portal to create tailor-made models by overriding the default learning parameters for a selection of assets. Models are under version control, and you can jump back and forth between various available models for any given assets. The output of the models is a metric which describes the degree of anomaly which any given asset is currently in. The anomalies, their strength and their frequencies are further analysed in order to create actionable decision-points, which can be connected to a notification mechanisms so the operator can receive reports and event-information as e-mails.
Data Aggregation
Aggregated time-series data can often be easier to consume and understand, rather than the raw-data itself. Therefore, our automated statistical engines will create aggregates to make it easier to understand long-term-trends , variations and drifts. The operator can drill-down from the eagle-eye view all the way down to the raw-data itself, to reach the preferred level of detail. If you want to look at various sources of data in the context of each other, you can create ‘sensor-groups’. These groups can be stored for easy access. The statistical engines will see them, and then create correlation matrices to give some indication on how the sources appear to be varying with each other.
How We Do It
Tyde is a web-based system aimed at strengthening your decision-making foundation. But it can also be seen as an ecosystem of various micro-services that work together in a cluster, in the cloud. They collaborate on turning the information in the data that are entering the system in real-time and the historical data with information about the past, into actionable insights about the Hydropower plants.
How We Help
Tyde can be set up to run on anything, anywhere. We will assist you to set up, install and configure it based on your own needs and preferences. We recommend using Microsoft Azure, although it is not a strict requirement. To make the low-level arrangements on-site to make sure we can map the data safely all the way from the analogue sensors to the Tyde deployment in the cloud, our partners are eager to contribute.
Want to know more? Sign-up here and we’ll get in touch.
Why Tyde
Tyde is built from the bottom up based entirely on real business needs. We have assumed nothing here, everything is based on dialogue and feedback from real customer on real deployments. Chances are, many if not all your hydropower needs, matches those that our pilot customers has and that means they have already been covered. Therefore, the threshold to get Tyde to run for you is low, both in terms of price and time.
How We're Different
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