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Artificial intelligence (AI) software solutions for capital intensive industries to solve predictive maintenance, process optimisation, and quality control (QC) problems.

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOUK20201001001
Publicado:
06/10/2020
Caducidad:
07/10/2021
Resumen:
The UK branch of an international SME offers an AI platform for manufacturing, mining and further industries. The software is unparalleled in terms of time of deployment and future-proofing. Proprietary deep learning algorithms promise to stay on top of maintenance, operational and quality issues where the volumes of data keep growing. Commercial agreements and technical cooperation are being sought with the industry, and also licensing to re-sellers and integrators.

Details

Tittle:
Artificial intelligence (AI) software solutions for capital intensive industries to solve predictive maintenance, process optimisation, and quality control (QC) problems.
Summary:
The UK branch of an international SME offers an AI platform for manufacturing, mining and further industries. The software is unparalleled in terms of time of deployment and future-proofing. Proprietary deep learning algorithms promise to stay on top of maintenance, operational and quality issues where the volumes of data keep growing. Commercial agreements and technical cooperation are being sought with the industry, and also licensing to re-sellers and integrators.
Description:
The growth in global IT spend is not enough to keep up with the amount of data that the world is generating. In the last two years, 90% of the worlds data has been created and machine-generated data will account for 40% of internet data. A typical factory now generates one terabyte of data per day and is adding more data via IoT and Industry 4.0 initiatives in the form of robotics and autonomous manufacturing processes, 3D printing, and smart machines and sensors at the edge. As the amount of data grows so does the number of data structures; and these new data structures have different forms, sizes, and shapes creating new challenges for any business to capture and incorporate into existing data sets and IT tools to realize and unlock the potential value.

An international SME helps companies solve these large and complex data management and analytical problems. Firstly, there is a platform built to digest and analyse extremely large data sets. Secondly, there are unique and proprietary technologies to harmonise unstructured data for quick and easy incorporation into big data analytics. These two also apply to edge computing and analytics, on-site or in the field. These technologies have been developed and stress tested (field tested) in the following industries: metals and mining, steel, pipeline manufacturing, oil and gas, chemical, aviation, food and beverage, and fast-moving consumer goods. The lessons from the engagements have been built into many industrial out-of-the-box use cases.

Working with big data and unstructured data is not enough nowadays. Users need to be able to go live quickly and to introduce changes quickly into analytical and output requirements. The company´s proprietary deep learning modules negate the need to hire data scientists for every deployment and the modular architecture enables quick revisions. The platform can be trained and tested for full deployment in weeks as opposed to months and it self-adapts to changes. The modular designed architecture allows for refined problem solving and deployment flexibility that results in fast go-live times. As mentioned above, the company has use cases and scenarios from several sectors that lend themselves to faster troubleshooting with other users in similar segments.

The company keeps working on a pure plug and play system with an intuitive user interface, a built-in comprehensive set of user defined data and analysis manipulation tools, and robust and flexible API´s.
The platform has incurred the below benefits for large and complex organisations:

1. Predictive Maintenance: the platform detects deterioration or anomalies in equipment and tooling performance, predicts remaining useful lifetime, and recommends optimal settings to achieve desired outcomes and schedule condition-based maintenance actions.

2. Product Quality and Infrastructure Integrity Control: using advanced computer vision, non-destructive testing data, production and part diagrams, and sensor data the platform identifies and predicts product quality, process variation, and suggests actions to prevent the production of non-compliant products.

3. Process Optimisation: the platform predicts and recommends actions to take to achieve the best overall economic effect. Opportunity and/or problem statements can come from the manufacturing floor, large complex machines which have useful lives impacted by the type of utilisation, pooled assets that may be underutilised, repair and inspection operations where engineers have to decide to use, repair, or scrap parts, just to name a few.

The company seeks industry partners for commercial agreements with technical assistance. Extensive support is available for implementation and aftercare. Also, technical cooperation is sought with industrial players working on specific problems for their sector. New IP may emerge in the process that they can then exploit across the sector. Finally, VARs and integrators are sought for licensing
Advantages and Innovations:
The company´s AI platform differentiates itself by three major points that deliver significant value to the customer:
¿ Production ready plug and play platform which facilitates fast deployment, seamless integration, and scalability and adaptability to meet partners´ requirements. Proprietary IP has been developed to quickly capture data from sensors, equipment, and processes; and integrate that data at the edge, point of service, factory, and/or enterprise level (ERP (enterprise resource planning), MES (manufacturing execution system), Asset Registry, SCADA (supervisory control and data acquisition), Historian, Process Controllers, etc.) to provide performance improvements at any level of work.
¿ The platform has a modular architecture with independent components (applications and engines) that allow designers to optimise solution configuration by only having to access required components; providing time to focus on critical items for solution accuracy and usability. This approach vs. a more integrated architecture allows one to reduce solution constraints and emulate the thinking of the customer at the business unit, product owner, and process engineering level. Lastly, the modular architecture ensures low cost serviceability and flexibility for future changing environments and operational needs.
¿ The creation of proprietary auto deep learning and transfer learning technologies which are world class. These technologies generate accurate outcomes and have low implementation time and cost requirements in both deterministic and uncertain environments, and do not require significant deployment of data scientists or hard coding of data into the solution.
Stage of Development:
Field tested/evaluated
IPs:
Secret Know-how,Copyright

Partner sought

Type and Role of Partner Sought:
Type of partner sought: industry.
Specific area of partner sought: both manufacturing and mining end-users are sought for commercial agreements with technical assistance. Also, value-added resellers or systems integrators.
Role of partner sought: industrial partners are invited to send non-confidential descriptions of their problems and bottlenecks, and desired outcomes. The UK company can then advise on the readiness of the platform for the job, and how much deployment time and additional resource is anticipated. The UK company has resources available for training, deployment and support.
Secondly, industrial partners are sought for technical cooperation where problems exist in a particular industry. They will be looking to co-create intellectual property linked to solving complex tasks so the partner can sell the newly created IP to other industrial players.
Finally, VARs (value added resellers) and systems integrators are sought for license agreements.

Client

Type and Size of Client:
Industry SME 11-49
Already Engaged in Trans-National Cooperation:
Si
Languages Spoken:
English

Keywords

Technology Keywords:
01003003 Artificial Intelligence (AI)
01004008 ERP - Planificación de recursos empresariales
02003005 Information processing & Systems, Workflow
02003001 Process automation
01004012 Sistema de planificación de procesos