Make sense of the observations you make in the plant each day with a powerful library of data science tools.
Do you find yourself expending energy and focus searching for domain-specific tools and APIs to incorporate into your software?
Would you like a hands-on approach to process modelling and real-time plant optimisation, powered by modern machine learning algorithms that puts you squarely in the driver’s seat?
Leveraging the domain knowledge and onsite experience of our highly skilled process engineers and fusing this with the skills of our leading data scientists, we have developed a collection of notable APIs.
These data science and minerals processing APIs are ideal for use in your own software as you wish to, with the added functionality of standardised plant metallurgy and process engineering calculations included. Select the functionality you require and create your own systems.
The API Library enables Interlate’s service teams and customers to incorporate leading data science functionality into their personal workflows. In partnership with the right tools, libraries and support, the API Library allows quick upskilling of teams in modern data science practices.
Processing plants are data rich but can often be information-poor without the application of data-driven tactics and strategies. Data-driven decision making requires a robust foundation of statistics to cut through the ‘noise’ of plant data, isolating issues and allowing operations to maximise recoveries. Developed out of necessity during the last 5 years of productivity services for our customers, the API Library provides the opportunity to draw insights from large plant datasets, increasing basic decision automation for operators and control systems.
For more information, download the Techincal Capabilities Statement from the link below.Download
A suite of data science and metallurgical algorithms that can be individually or collectively used to perform various machine learning operations.
Asset, commodity and value-chain agnostic, and helps to speed up, simplify and automate the problem-solving process.
Provides a recognised standard for integration with your existing business processes.
Users can automate report generation through whatever platform suits their business needs.
Create workflows designed with the needs of the metallurgist in mind using your own preferred data science development environment.
Maintain full control over your data science workflows.
Flexibility to add-in features and personalise your analysis with the confidence of being backed by a team of metallurgical and data science professionals.
Save time and the hassle of inventing your own systems.
Use to button below to book your free live demo with our industry experts.Book Demo
Problem statement: For a Cu/Au rougher pull rate system with 10 independent variables for bubble velocity (BV) and reagents (FI), how can you dynamically optimise the dependent KPI (metal loss to tails) as upstream variables (ore type, feed grades, milling characteristics) change?
Method: Collaborative approach to the generation of 3 x automated workflows plus a recomendation interface. ~45 API library components utilised.
Client outcome: AI-driven decision automation for process control purposes.
+0.6% full plant metal recovery valued at ~$4.850.000 annualised FCF.
Discover more on how API Library can create value for your plant.
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