Contribution: Industrial Research Assistance Program – Contributions to Firms
NTwist Inc.
$75,000.00
A Deep Learning Approach to Soft Sensor Design and Process Optimization for an Industrial Nickel Extraction Process
FY 2018-19 · 2018-10-01
Summary
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.
Department
Program
Industrial Research Assistance Program – Contributions to FirmsIndustrial Research Assistance Program-Contributions to Firms (linked with high confidence)
Recipient
Location
Edmonton|Edmonton, Alberta, Canada
Recipient Type
For-profit organization
Business Number
765207311
Type
Contribution
Source
Proactive Disclosure - Grants and Contributions
Amendments
Each version of the agreement as published, oldest first, with its total as of that version. The amount above is the latest.
| Amendment | Date | Fiscal Year | Total |
|---|---|---|---|
| 0 | 2018-10-01 | 2018-19 | $75,000.00 |
| 1 | 2018-10-01 | 2018-19 | $75,000.00 |
As published
Additional Information
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 30 days.
Additional Information (French)
Cet accord a été modifié 1 fois La date de fin du présent accord a été changé de 30 jours.
Agreement End Date
2019-11-30
Agreement Number
913385
Agreement Start Date
2018-10-01
Agreement Title
A Deep Learning Approach to Soft Sensor Design and Process Optimization for an Industrial Nickel Extraction Process
Agreement Title (French)
Approche d'apprentissage en profondeur pour la conception de capteurs et l'optimisation de processus pour un procédé d'extraction industrielle du nickel
Agreement Type
Contribution
Agreement Value
$75,000.00
Amendment Date
2019-02-05
Amendment Number
1
Coverage
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation. | Les projets des Contributions aux entreprises stimulent la création de richesse au Canada grâce à l’innovation technologique.
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.
Description (French)
L'objectif de ce projet est d'utiliser des approches d'intelligence artificielle (IA) pour résoudre des problèmes industriels complexes. Les deux principaux avantages des approches basées sur l'IA sont la capacité d'apprendre continuellement et de manière adéquate à partir de données historiques. Traditionnellement, de nombreuses informations sur les processus ne sont pas mesurables lors d'opérations réelles en raison des limitations de l'instrumentation. De plus, les usines ne sont pas suffisamment optimisées pour maximiser la qualité de la production tout en minimisant les déchets. En utilisant des approches basées sur l'IA, nous pouvons développer des modèles complexes non linéaires à partir de données historiques pour prédire les informations de processus non mesurables. Les modèles apprennent également en permanence à partir des nouvelles données entrant dans l'usine.
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
Expected Results (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Federal Riding
Edmonton Riverbend
Federal Riding (French)
Edmonton Riverbend
Federal Riding Number
48018
NAICS Code
54151
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Industrial Research Assistance Program – Contributions to Firms
Program Name (French)
Programme d’aide à la recherche industrielle – Contributions aux entreprises
Program Purpose
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
Program Purpose (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Recipient Business Number
765207311
Recipient City
Edmonton|Edmonton
Recipient Country
CA
Recipient Legal Name
NTwist Inc.
Recipient Postal Code
T6R 0M7
Recipient Province or Territory
AB
Recipient Type
F
Reference Number
172-2018-2019-Q3-913385
