Přejít na hlavní textKliknutím zobrazíte naše prohlášení o dostupnosti nebo nás můžete kontaktovat s dotazy ohledně dostupnosti.
Person with tablet looking down over a manufacturing floor

The Perfect Industrial Internet of Things (IIoT) Platform

In recent years, we’ve seen an evolution of IIoT capabilities, with advances in data science and more accurate and cost-effective sensors leading to broader adoption of IIoT solutions. Despite these tech advances, some limitations remain. Markus Larsson and Kai Goebel from PARC, a Xerox Company, recently sat down at the Industrial Internet of Things USA conference to discuss how solutions can evolve in the IIoT space to create the “perfect IIoT platform.”

Xerox Presentation for IIoT USA Summit 2020 YouTube Video

The Move to Digitisation

The broader macro trends of Industry 4.0 and Smart Factories are driving the move to digitisation in the industrial sector. Digitisation of assets, supply chains, and logistics is gaining ground in industrial settings, where automation and predictive maintenance deliver significant benefits to plant operations.

However, adoption is still relatively small, except for a few industries such as aerospace and automotive. This is mainly because we are dealing in “atoms vs. bits,” which requires cyber-physical systems and hardware-to-software integrations that add complexity on the path to digitisation. 

Two key issues remain a hindrance to adoption:

  1. Poor prognostic accuracy, i.e., how much remaining life remains for industrial assets before maintenance is needed. This materially limits the economic value of predictive maintenance solutions.

  2. Manufacturers need longtime horizons to make predictions useful. For example, the lead time required for a particular asset can vary from one week to up to six months for remaining life estimates to be practically useful.

In Search of the Perfect IIoT Platform

Using the right type of data and selecting the proper analytical techniques will ultimately move the needle on making decisions that improve business efficiency and the bottom line. 

Kai, a principal PARC scientist with more than 20 years of industry experience, shared, “Plant operators want to know with accuracy the remaining life of the current equipment they have, but today that knowledge remains elusive.”

As equipment ages, monitoring becomes more critical and unplanned downtime more costly. A recent Deloitte report estimated that unplanned downtime costs industrial manufacturers an estimated $50 billion annually. According to a 2017 PwC and Mainnovation report, while only one in five companies has started deploying advanced solutions, nearly half are developing future implementation plans for predictive maintenance solutions.

Accurately predicting when an asset needs maintenance reduces downtime while increasing plant efficiency and profit. The perfect IIoT platform would work autonomously, predict the maintenance required, and schedule a plant worker to conduct a site visit, all automatically upon an asset prognostic generated by an IIoT sensing device.

Today, plant managers and operations leadership teams dream of a platform that can cut through data uncertainty to deliver solutions. The Perfect IIoT platform needs to incorporate the different forms of reasoning methods such as physics-based models and AI-based prediction methods that can integrate seamlessly into current workflows. 

Getting any plant to a place where all downtime is predictable is a significant challenge. The industry market leaders in predictive analytics promise asset failure prediction with a 50 percent prediction accuracy. Manufacturers need a better standard, and it's up to the innovators in this space to create more accurate solutions that solve manufacturers' problems.

Inovace Xerox

Podívejte se, jak se řada z nejchytřejších lidí planety v našich výzkumných centrech snaží, aby se nám zítra pracovalo lépe.

Man looking between stacked servers

Obohacení internetu věcí

Dnešní senzory nedokáží udržet krok s požadavky internetu věcí. Ale my to napravíme.

Související články

  • Sign for parc, Xerox Palo Alto Research Center

    Palo Alto Research Center

    Palo Alto Research Center (PARC) is a wholly owned subsidiary of Xerox Corporation and an integral part of Xerox's strategy for long-term research investment

  • Wendy Abbott, Xerox engineer, with an icon of the ConnectKey user interface she designed

    Problem-solving with Software

    “There are people out there every day using this and it’s making their jobs more productive.”

  • Xerox Research Centre of Canada

    Xerox Research Centre of Canada

    The Xerox Research Centre of Canada (XRCC) is Xerox’s specialty materials research centre

  • Man using touchscreen monitor in a warehouse

    Additive or Conventional Manufacturing? That is the Question

    3D printing investment decisions require quantitative and qualitative assessments of manufacturing options. Decision-makers need comprehensive and unbiased tools.

  • Digital timeline with photos of Xerox PARC employees

    PARC Celebrates 50 Years of Innovation

    And prepares for the next 50 years.

  • Woman in a hard hat in a warehouse, using a tablet

    Smart Manufacturing: Orchestrating Your Response To Changing Conditions

    Today more than ever, manufacturers must produce short-run and custom goods, on-demand, and in uncertain conditions. 

Sdílet