by Gary Mintchell | Jun 24, 2022 | Automation, Networking
News from the Hannover Messe. Advanced wireless applications continue to make news. Here, Nokia released news about two private wireless applications you all should find intriguing, if not useful
Nokia launches MX Boost for private wireless to optimize reliability and performance for the most demanding industry use cases.
- Nokia MX Boost for private wireless allows industries to combine available radio technologies and spectrum to meet performance needs of Industry 4.0 use cases that often operate in challenging RF conditions
- Multiple connectivity paths can be aggregated at the Nokia MX Industrial Edge (MXIE) helping boost either throughput, by combining radio links, or determinism, by retaining capabilities of the strongest one
- MX Boost helps unify disparate radio technologies, such as Wi-Fi and 4.9G/LTE for maximum gains and more advanced industry 4.0 use cases
Using MX Boost, organizations can aggregate radio technologies, such as Wi-Fi and 4.9G/LTE, as well as spectrum, to optimize throughput and improve determinism, which is the ability of the network to guarantee performance, even in challenging radio conditions for real-time applications.
Ah, 5G mentioned.
Adoption of private 4.9G/LTE and 5G is growing, allowing industries to gain new insights and capabilities from their operational data through reliable, secure low latency connectivity of assets. In parallel, legacy assets will continue to be in operation and enterprises need to retain existing wireless connectivity solutions like Wi-Fi. Industries also seek additional options in terms of spectrum use as they ramp-up asset connectivity and need more data capacity.
MX Boost functions at the IP layer, meaning it is very easy to aggregate very different connectivity technologies without complexity, such as combining terrestrial technologies with satellite connectivity, ultimately offering endless combination possibilities. For industrial sites, MX boost also functions with brownfield non-Nokia Wi-Fi or other wireless technologies, allowing enterprises to combine it with private 4.9G/LTE for increased determinism and increased capacity.
And a second announcement.
Nokia expands industrial-grade private wireless solution with Wi-Fi to provide more connectivity options for industries.
- Nokia adds to its industrial connectivity edge-centric solution portfolio with the Digital Automation Cloud Wi-Fi Solution.
- New solution unites Wi-Fi 6, 6E for connecting non-business critical use cases and private 4.9G/LTE and 5G to support critical Industry 4.0 applications.
- Provides same easy-to-use single cloud management interface from which industries can seamlessly manage all their different wireless connectivity layers.
- Leverages MX Industrial Edge for Wi-Fi management and authentication while Nokia MX Boost will allow companies to fully merge 3GPP and Wi-Fi connectivity to enhance connectivity performance.
- Nokia DAC Wi-Fi Access Points comes free of charge as part of a competitive as-a- service pricing subscription model.
Nokia DAC Wi-Fi connectivity solution will be available in the Nokia Digital Automation Cloud (DAC) end-to-end industrial-grade digitalization platform.
With the introduction of the Nokia DAC Wi-Fi solution, organizations can tap into license-free spectrum to augment their private networks and support non-business-critical Operational Technology (OT) workflows, such as deskless workforce instructions and non-critical connections used to access machine maintenance data. These organizations can now take advantage of the Nokia DAC single cloud-based operations and management interface for all connectivity technologies, add plug and play private wireless 4.9G/LTE and 5G for real-time reliable connectivity, or boost capacity with Wifi6 for other connectivity needs. This not only provides flexibility, but also cost efficiencies that come with single platform operations.
by Gary Mintchell | Jun 24, 2022 | Cloud, Data Management, Manufacturing IT, Operations Management
This news is a bit old dating from the first of May. Its relevancy maintains its freshness—another look at the major IT companies looking for market in manufacturing. This holds personal interest in that once again I am not invited back to an IT company user conference because they tried a manufacturing vertical without success. (I could have told them, but that story will hold for another place and time.)
Google Cloud has co-developed Manufacturing Data Engine and Manufacturing Connect. These solutions are said to enable manufacturers to connect historically siloed assets, process and standardize data, and improve visibility from the factory floor to the cloud. Once data is harmonized, the solutions enable three critical AI- and analytics-based use cases–manufacturing analytics & insights, predictive maintenance, and machine-level anomaly detection.
Key points:
- Ford, Kyocera, and Phononic among early customers to enhance data transparency and optimize production with new manufacturing-specific solutions
- Cognizant, C3 AI, GFT, Intel, Litmus, Quantiphi, SoftServe, Sotec, Splunk, among partners supporting the new solutions
Manufacturing Data Engine and Manufacturing Connect, available today, help manufacturers unify their data and empower their workforce with easy-to-use analytics and AI solutions based on cloud infrastructure.
This continues the discussion I made yesterday about DataOps. The rapid move to data organizations and technology in manufacturing continues to amaze me.
Manufacturing Data Engine is an end-to-end solution that processes, contextualizes, and stores factory data on Google Cloud’s data platform. It provides a configurable and customizable blueprint for the ingestion, transformation, storage, and access to factory data. It integrates key Google Cloud products, including Cloud Dataflow, PubSub, BigQuery, Cloud Storage, Looker, Vertex AI, Apigee, and more, into a manufacturing-specific solution.
Manufacturing Connect is a factory edge platform co-developed with Litmus Automation that quickly connects to, and streams data from, nearly any manufacturing asset and industrial system to Google Cloud, based on an extensive library of more than 250 machine protocols. Deep integration with the Manufacturing Data Engine unlocks rapid data intake into Google Cloud for processing machine and sensor data. The ability to deploy containerized applications and ML models to the edge enables new dimensions of use cases.
Once data is centralized and harmonized by the Manufacturing Data Engine and Manufacturing Connect, it can then be used to address a growing set of industry-specific use cases.
Data holds no value unless it can be analyzed and visualized.
Manufacturing analytics & insights, which helps manufacturers quickly create custom dashboards to visualize key data—from factory KPIs such as Overall Equipment Effectiveness (OEE), to individual machine sensor data. Integrated with the Manufacturing Data Engine, engineers and plant managers can automatically set up new machines and factories, enabling standardized dashboards, KPIs, and on-demand drill-downs into the data to uncover new insights opportunities throughout the factory. These can then be shared easily across the enterprise and with partners.
by Gary Mintchell | Jun 23, 2022 | Automation, News, Organizations, Robots
Five years ago I would not have predicted so much robotics news and advancements. This is news about organizations collaborating for the advancement of robotics.
MassRobotics, Pittsburgh Robotics Network and Silicon Valley Robotics have formed the United States Alliance of Robotics Clusters (USARC). USARC supports the development, commercialization and scaling of robotics for global good by collaborating with government and industry stakeholders.
Organizations need focus and deliverables. USARC’s list:
● Increased collaboration and communication across U.S. robotics clusters
● Enhanced support and success for stakeholders and startups
● Focused advocacy for the robotics and artificial intelligence industries
With a goal to help meet U.N. Sustainable Development Goals, USARC and its members will support:
· Sustainability through myriad robotics application including agritech, energy efficiency, recycling and climate change
· Revitalization of local industry and economic development through the growth of robotics clusters
· Onshoring more robotics and artificial intelligence businesses and initiatives
by Gary Mintchell | Jun 23, 2022 | Data Management, Operations Management
According to ESG’s April 2022 The State of DataOps survey sponsored by HighByte, 97% of organizations face data integration challenges. One of the most common integration challenges is the inability to apply automation to processes or workflows, as reported by 28% of respondents.
Industrial software company, HighByte, addressed this problem by adding templates and expanding connectivity to leading data lakes and warehouses with HighByte Intelligence Hub version 2.4.
I’ve been bullish on the utility of DataOps and HighByte’s approach to solving the problems of data. This news relates to the latest version of its Intelligence Hub—version 2.4.
This version enables users to scale data operations projects faster with less effort across a wider range of connections. The release introduces several new features, including instance and input templates, custom conditions, global functions, and parameters that enable users to define common, reusable components within the Intelligence Hub to improve its speed of deployment and maintainability. The latest release also includes new native connections to leading data lakes, warehouses, and sources, including Amazon S3, Amazon Redshift, Microsoft Azure Blob Storage, and Modbus.
“The Intelligence Hub will enable us to simplify our data architecture, making our data both easier to manage and more accessible to a wider audience through a unified namespace,” said Hayden Lovett, Global CI Engineer Specialist at Scholle IPN. Now part of SIG, Scholle IPN is a global leader in innovative sustainable packaging solutions. “With the new templating capabilities and custom conditions in the Intelligence Hub, we can rapidly create and manage modeled performance and OEE data for our machines. The ability to merge data from many sources will make new use cases possible, like precisely measuring how quickly machine issues are resolved and who performed them. It’s a powerful tool.”
To learn more about the release and see a live demonstration of the software, please register for the webinar, “More Data, Less Clicks: Automate Your Industrial Data Operations with Templates and Event Flows,” on June 29, 2022 at 11:00 AM ET.
by Gary Mintchell | Jun 22, 2022 | Commentary, News
Market size research reports usually evoke a yawn from me. However, I like the methodology and rigor of Interact Analysis. It’s still a guess, but much data underlies the analysis from this group. Senior Analyst Maya Xiao recently took a look at the lithium ion batter market. You can read the entire report. Following are some highlights. I need to mention that battery manufacturing was also highlighted by Honeywell at its conference as it seeks to lead in new batter technology. Stay tuned in case there is a disruption.
The global Li-ion battery market is moving into surge mode. According to our newly released Li-ion battery database, global shipments in 2021 equated to 476.3 GWh, amounting to a 72.6% increase on 2020, and that wasn’t a blip. We’ve identified it as being part of a longer-term trend.
We’d expect that demand is driven by electric vehicles, but there are other demands for batteries.
Unsurprisingly, it’s the electric vehicle sector that is driving demand for Li-ion battery technology. In 2021, EV battery shipments accounted for 354.5 GWh, representing 74.4% of total battery shipments and a phenomenal year-on-year increase in EV battery shipments of 90.2%. But the increase of shipments in the same period to the energy storage sector (ESS) was even more marked – 113.3%. Accounting for 11.8% of total battery shipments, ESS is way behind the EV sector in terms of demand, but the huge 2021 increase is a clear pointer to sustained future growth. Meanwhile, consumer electronics (CE) battery shipments totalled 65.5 GWh, representing 13.8% of total shipments, a year-on-year increase of 6.3%.
This is where market analysis gets tricky—the famous 5-year projection demanded of these firms.
We estimate that global demand for li-ion batteries will rise to over 1.6TWh by 2026, representing a 5-year CAGR of 27.9%. The share of shipments to EV manufacturers will remain stable, standing at 75.9% of the total, but there’ll be growth in demand from the ESS sector, with shipments forecast to total 312.4 GWh, accounting for 19.2% of all battery shipments: a 5-year CAGR of 40.9%. CE battery shipments are expected to total 81.3 GWh over the 5-year period, with a CAGR of 4.4%.
What types of battery technology will prevail over the next few years?
The market share of different Li-ion battery technologies is changing. Back in 2018, lithium cobalt (LCO) and lithium iron phosphate (LFP) batteries accounted for over 50% of the global market. But LCO’s share has steadily declined over the past three years, in line with the decline in growth of the consumer electronics sector. Conversely, the demand for high quality nickel-cobalt-aluminium oxide (NCA)/ nickel-cobalt-manganese (NCM) batteries from the electric vehicle and industrial energy storage sectors has exceeded supply, which is why many battery makers announced plans to expand production capacity between 2018 and 2020. We forecast that the market shares of LFP batteries and NCM/NCA batteries will be evenly divided by 2026.
