Grants and Contributions:

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Title:

A Deep Learning Approach to Soft Sensor Design and Process Optimization for an Industrial Nickel Extraction Process

Agreement Number:

913385

Agreement Value:

$75,000.00

Agreement Date:

Oct 1, 2018 - Nov 30, 2019

Description:

The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently optimized to maximize production quality, while minimizing waste. Using AI-based approaches, we can develop complex non-linear models from historical to predict the unmeasurable process information. The models are also continuously learning from the new data coming into the plant.

Organization:

National Research Council Canada

Expected Results:

The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization

Location:

Edmonton, Alberta, CA T6R 0M7

Reference Number:

172-2018-2019-Q3-913385

Agreement Type:

Contribution

Report Type:

Grants and Contributions

Recipient Business Number:

765207311

Recipient Type:

For-profit organization

Additional Information:

This agreement has been amended 1 time(s). The end date of this agreements has been modified by 30 days.

Amendment Date

Feb 5, 2019

Recipient's Legal Name:

NTwist Inc.

Federal Riding Name:

Edmonton Riverbend

Federal Riding Number:

48018

Program:

Industrial Research Assistance Program – Contributions to Firms

Program Purpose:

Coverage:

IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation.

NAICS Code:

54151

Amendments:

See Amendments