by Gary Mintchell | Dec 17, 2019 | Asset Performance Management, Data Management, Internet of Things, Manufacturing IT, Software
Suppliers of manufacturing software, some from surprising places, are putting sizable investments into products that will help customers reap the rewards of digitalization. Today, I’m looking at both ABB and Emerson Automation Solutions. Previously I checked out GE Digital and Rockwell Automation. Each has taken a slightly different course toward the goal, but notice the common thread of enhancing software products to help customers prosper.
ABB enhances manufacturing management technology
The new version of ABB Ability Manufacturing Operations Management will offer new features including:
- Enhanced user experience based on new HTML 5 web client;
- A new smart interactive dashboard application that provides greater visibility and collaboration;
- A new statistical process control (SPC) application, to determine if each process is in a state of control;
- A new Batch Compare application – for advanced batch analysis.
“ABB Ability Manufacturing Operations Management is a comprehensive, scalable and modular software suite that optimizes visibility, knowledge and control throughout the operations domain,” said Narasimham Parimi, Head of Digital Products – Product Management, Process Control Platform. “This release provides a range of rich new functionality and a new enhanced user experience that enables operations to become more productive and responsive.”
ABB Ability Manufacturing Operations Management is designed to simplify production management by enabling performance monitoring, downtime management, and maintenance support, as well as providing statistical production analysis tools. It provides solutions and tools to facilitate the collection, consolidation and distribution of production, quality and energy information via the plant’s web-based reports, trends, and graphs.
A new, self-service dashboard application promotes increased collaboration, providing visibility from shop floor to top floor and spanning IT and OT environments. It increases data connectivity to all apps and modules within the MOM suite, combining historic and manufacturing data and providing the user with improved customization capabilities. Dashboards can be shared amongst users, further promoting collaboration between teams. Trends and events are displayed together, which enables customers to identify issues and opportunities enabling informed and timely decisions.
The new common services platform features an HTML 5 web platform that runs across all suites ensuring customers have a seamless user experience, so that applications can be viewed on different devices right down to a 10-inch tablet.
Statistical data process control (SPC) is used in manufacturing to determine if each process is in a state of control. The new SPC application works across all the different apps and modules and helps the user to improve quality and production related performance.
In addition to the existing Batch View and Batch Investigate features, a comparison option has been added to the platform’s batch analysis applications, allowing different types of comparison.
Cyber security remains one of the key issues in the advancement of Industry 4.0, and the new features in MOM include enhanced security.
Emerson Expands Analytics Platform
Plantweb Insight platform adds two new Pervasive Sensing applications that manage wireless networks more efficiently with a singular interface to the enterprise.
Emerson has added two new IIoT solutions to its Plantweb Insight data analytics platform that will enable industrial facilities to transform the way they manage their enterprise-level wireless network infrastructure.
As digitalization and wireless technology adoption continue to rapidly expand in industrial facilities throughout the world, the need for greater visibility of network infrastructure performance is key. These new Plantweb Insight applications provide a quick-to-implement, scalable IIoT solution that helps customers advance their digital transformation strategies and achieve greater operational efficiencies.
The new Plantweb Insight Network Management application provides continuous, centralized monitoring of WirelessHART networks. This first-of-its-kind application provides a singular, consolidated view of the status of all wireless networks in a facility, with embedded expertise and guidance for advanced network management.
A key feature of the Plantweb Insight Network Management application is a configurable mesh network diagram, providing visualization of network design and connections along with device-specific information. It also provides an exportable record of syslog alerts, network details outlining conformance to network best practices and more.
While the new network management application provides a holistic look at wireless networks, the Plantweb Insight Power Module Management application drills down to the device level, allowing facilities to keep their wireless devices appropriately powered so they can continuously transmit key monitoring data. By aggregating power module statuses, users can evolve traditional maintenance planning and implement more efficient and cost-effective practices.
“We were able to infuse a decade of experience with wireless technology into these new offerings,” said Brian Joe, wireless product manager with Emerson’s Automation Solutions business. “Our customers will now be able to manage and improve hundreds of networks through a singular interface, realizing significant efficiencies in individual network and wireless device management and maintenance.”
These new applications further enhance the Plantweb Insight platform, a set of pre-built analytics primarily focusing on monitoring key asset health. Other applications in the platform include pressure relief valve monitoring, heat exchanger monitoring and steam trap monitoring.
by Gary Mintchell | Dec 16, 2019 | Networking, Standards
Sander Rotmensen of Siemens automotive test center in Nuremberg, Germany and Yongbin Wei of Qualcomm recently discussed the birth of 5G networks for industrial applications. The occasion concerned the press release announcing implementation of a 5G private industrial network.
We’ve all heard about 5G and worries from a variety of national governments about whether another country is embedding spy firmware in its local company’s products. Personally, I think the worry is both silly and well-founded. Every country that houses a company in the market most likely has intelligence agents trying to do the same thing. (I could go into my university education and acquaintance with a professor with “former” CIA ties, but that goes too far afield.) And all companies will deny any tie.
And…we are going to use 5G because the benefits are great. A benefit everyone mentions is the ability to build private networks for a local facility. The network has very low latency and built-in 5-9s (99.999%) uptime.
And what are some of the use cases we can anticipate? Rotmensen and Wei provided a list of ideas:
- Mobile equipment (tablets, etc.)
- Assisted Workers (remote video/audio to experts, etc.)
- Backhaul depending upon geography
- Autonomous machines–robots, cobots with communication and low latency
- Autonomous logistics
- Edge computing, larger amounts of data with low latency
With the final release of IEEE Time Sensitive Networking still years away, 5G is looking very good. We are on release 15 presently. Release 16 is anticipated in June, 2020. With release 17, the increased capacity would easily handle pretty dense machine-to-machine and IoT applications.
First Private Standalone Industrial 5G Network
Showing the benefits of today’s trend toward cooperation and partnerships, this joint proof-of-concept network will explore the capabilities of 5G standalone networks for industrial applications.
The private 5G standalone (SA) network in a real industrial environment uses the 3.7-3.8GHz band. Both companies have joined forces in this project: Siemens is providing the actual industrial test conditions and end devices such as Simatic control systems and IO devices and Qualcomm is supplying the 5G test network and the relevant test equipment.
The 5G network was installed in Siemens’ Automotive Showroom and Test Center in Nuremberg. Automated guided vehicles are (AGV) displayed here which are primarily used in the automotive industry. New manufacturing options and methods are also developed, tested and presented before they are put into action on customer sites. This allows Siemens’ customers, such as automated guided vehicle manufacturers, to see the products interact live.
The Automotive Showroom and Test Center enables Siemens and Qualcomm to test all the different technologies in a standalone 5G network under actual operating conditions and to come up with solutions for the industrial applications of the future. Qualcomm Technologies installed the 5G test system comprising infrastructure and end devices in less than three weeks. Siemens provided the actual industrial setup including Simatic control systems and IO devices.
“Industrial 5G is the gateway to an all-encompassing, wireless network for production, maintenance, and logistics. High data rates, ultra-reliable transmission, and extremely low latencies will allow significant increases in efficiency and flexibility in industrial added value,” says Eckard Eberle, CEO Process Automation at Siemens. “We are therefore extremely pleased to have this collaboration with Qualcomm Technologies so that we can drive forward the development and technical implementation of private 5G networks in the industrial sector. Our decades of experience in industrial communication and our industry expertise combined with Qualcomm Technologies’ know-how are paving the way for wireless networks in the factory of the future.”
“This project will provide invaluable real-world learnings that both companies can apply to future deployments and marks an important key milestone as 5G moves into industrial automation,” said Enrico Salvatori, Senior Vice President & President, Qualcomm Europe/MEA. “Combining our 5G connectivity capabilities with Siemens’ deep industry know-how will help us deploy technologies, refine solutions, and work to make the smart industrial future a reality.”
The German Federal Network Agency has reserved a total bandwidth of 100 MHz from 3.7 GHz to 3.8 GHz for use on local industrial sites. German companies are thus able to rent part of this bandwidth on an annual basis and to make exclusive use of it on their own operating sites in a private 5G network whilst also providing optimum data protection. Siemens is using this principle to evaluate and test industrial protocols such as OPC UA and Profinet in its Automotive Showroom and Test Center together with wireless communication via 5G.
by Gary Mintchell | Dec 10, 2019 | Commentary, Internet of Things, Manufacturing IT, Operations Management
Top Tens and Top Twenties of the past or future year have never been my favorites. However, one can perceive trends and strain out little nuggets of gold by scanning several. Especially industrial taken broadly along with Internet of Things (IoT) and other current digital trends. I just had an interesting chat with Sean Riley, Global Director of Manufacturing and Transportation for Software AG, who released his Top Ten for 2020.
Following are his ideas interspersed with a few of my comments.
Cost Management Becomes Exceptional
As uncertainty enters the global manufacturing outlook, enterprises will become myopically focused on cost reductions. This will drive organizations to find more efficient methods of providing IT support, leveraging supplier ecosystems and simplifying value chains. [GM-much of my early work was in cost management/reduction; this is a never-ending challenge in manufacturing; however, tools continue to evolve giving us more and better solutions.]
A Blurred Line Between Products & Services
Manufacturers continue their product innovation quest and more manufacturers will begin focusing on how to deliver products as a service. The Manufacturers that have already created smart products and have elevated service levels will now begin to work out the financing considerations needed to shift from a sales based to a usage based revenue model. [GM-This is a trend most likely still in its infancy, or maybe toddler-hood; we see new examples sprouting monthly.]
Moving To Redefine Cost Models To Match Future Revenue Streams
Anticipating the shift to continual revenue streams, manufacturers will seek to shift costs to be incurred in a similar manner. This will be initially seen as a continued push to subscription based IT applications. While much progress has already been made, a larger focus will occur. [GM-I like his idea here of balancing capital versus expense budgets, continually finding the best fund source for shifting costs.]
IT Focuses on Rapid Support for Growth
The lines between business and IT users become blurred as no-code applications allow for business users to create integration services. IT professionals will leverage DevOps & Agile methodologies alongside of microservices and containers to rapidly develop applications that are able to generate incremental growth as requested by business users. This will be critical to the near term success for manufacturers, especially with economic headwinds that seem to be growing stronger. [GM-I didn’t ask about DevOps, but this idea is springing into the industrial space; cloud and software-as-a-service provide scalability both up and down for IT to balance costs and services.]
Industrial Self-Service Analytics Become Mission Critical
Industrie 4.0 / Smart Manufacturing initiatives continue to receive greater amounts of investment but in the near term, manufacturers will focus on unleashing the power of the data they already have. Historians, LIMS, CMMS’ have valuable data going to and in them and enabling production engineers to leverage that data rapidly is critical. Industrial Self-Service Analytics that allow production and maintenance professionals to leverage predictive analytics without IT assistance will sought as a powerful differentiating factor. [GM-we are beginning to see some cool no-programming tools to help managers get data access more quickly.]
Industrie 4.0 / Smart Manufacturing Initiatives Continue to Draw Investment
It’s no surprise that Manufacturers will continue to invest in Industrie 4.0 as the promises are great however, the scaled returns have not been realized and won’t be realized in the near term. The difficult of implementing these initiatives has surpassed manufacturers expectations for several reasons. First, traditional OT companies were trusted to deliver exceptional, open platforms and that wasn’t delivered. Secondly, collaboration efforts between IT & OT professionals proved to be more convoluted and difficult than expected. [GM-I’m thinking these ideas became overblown and complex, and that is not a good thing; to swallow the whole enchilada causes stomach pain.]
Artificial Intelligence Enters the Mix
AI won’t allow for users to sit back and relax while AI handles all of their tasks for them but it will make an appearance in back office tasks. Freight payment auditing, invoice payment and, in some select areas, chatbots will be the initial main stream uses of AI and will be seen as not becoming an anomaly but be understood to be more mainstream this year. [GM-I think still an idea looking for a problem; however some AI ideas are finding homes a little at a time.]
3D Printing Find New Uses
While this technology has steadily crept into production lines, the push towards usage based product pricing will have the technology move into after market services. Slow moving parts will be the first target for this technology which will help to free up much needed working capital to support financial transformation. [GM-watch for better machines holding tighter tolerances making the technology more useful.]
5G & Edge Analytics Enable New Possibilities
As Industrie 4.0 is continued to be pursued, Manufacturers will implement new initiatives that could not previously be realized without the high speed data transmission promises of 5G or the ability to conduct advanced analytics at the edge where production occurs. This will also provide manufacturers with new methods to securely implement Smart Manufacturing initiatives and in new locations that were not previously feasible due to connectivity issues. [GM-5G is still pretty much a dream, but there is great potential for some day.]
Security Still Remains a Critical Focus
With the increasing rate of IoT sensors, IT-OT convergence, the usage of API’s and the interconnectivity of ecosystems ensuring data security remains a top priority for manufacturers. As more data becomes more available, the need to increase levels of security becomes ever greater. [GM-ah, yes, security–a never-ending problem.]
by Gary Mintchell | Dec 6, 2019 | Internet of Things, Networking, Wireless
Suddenly the wireless networking side of IoT connectivity is hitting my radar. Since the culmination of the “wireless wars” of 10 years ago, this technology/market area has settled into supplying usable products. This information came from Honeywell—In short, by supplying ISA100 Wireless and WirelessHART connectivity to Cisco’s next-generation Wi-Fi Access Point, Honeywell’s OneWireless IoT Module can help users increase industrial plant productivity, worker safety, and digital transformation readiness.
Honeywell is developing a OneWireless IoT Module for the next-generation of Cisco’s industrial access points, the Cisco Catalyst IW6300 Heavy Duty Series Access Point. The Honeywell and Cisco technologies will form the backbone of Honeywell’s OneWireless Network.
The joint wireless solution enables Honeywell customers to quickly and easily deploy wireless technologies as an extension of their Experion Process Knowledge System (PKS). Combining the leading IT network technology by from Cisco and the leading Honeywell OneWireless multi-protocol technology provides customers with a single infrastructure that meets all their industrial wireless needs.
“For the past decade, Cisco and Honeywell have worked together to deliver secure, wireless solutions to connect mobile workers and field instrumentation in the most challenging process manufacturing environments,” said Liz Centoni, senior vice president and general manager, Cisco IoT. “We’ve had great success in bringing IT and operational teams together to reduce complexity and improve efficiency. Now, we are building on that foundation to extend the power of intent-based networking to the IoT edge.”
When combined with the Honeywell OneWireless IoT Module, the Cisco Catalyst IW6300 Heavy Duty Series Access Point offers the security, speed, and network performance needed to allow the seamless extension of the process control network into the field.
“The OneWireless IoT Module is Honeywell’s latest innovation as a leader in wireless technology,” said Diederik Mols, business director Industrial Wireless, Honeywell Process Solutions. “Our customers will benefit from OneWireless functioning as a seamless extension of Experion PKS and simplified deployment made possible by integrating the IoT module and aerials into a single unit.”
by Gary Mintchell | Nov 8, 2019 | Automation, Technology
Artificial Intelligence, or AI, is not necessarily the dystopian technology portrayed in books and movies. Although neither artificial or intelligent, AI can be a powerful tool in the engineer’s kit.
Recently Carl Palme of Neurala chatted with me introducing the company and what it means by AI in its vision systems. We both have some sheet metal work in our backgrounds, so we found common cause with one of the powerful applications—finding small surface anomalies.
There is also company news. In short:
- IHI Corporation Selects Neurala to Enable Industrial Visual Inspection and Analysis Powered by AI
- One of the Largest Global Heavy-Industry Manufacturers Partners With Leader in Automated Visual Inspections to Build Vision AI-Powered Industrial Solutions
AI-powered visual inspection pioneer Neurala announced a partnership with IHI, one of the largest manufacturers in the world.
IHI is a leading producer of aircraft engines and turbochargers for vehicles and industrial machines, along with additional transport-related machinery and more. Neurala’s automated visual inspection platform will be deployed as a key component of IHI’s workflow, improving manufacturing optimization and enabling more efficient industrial inspections.
“Automation is an area of critical focus as we further strengthen our reputation as the leading manufacturer of transport-related machinery worldwide,” said Ms. Nobuko Mizumoto, Director of IHI Corporation. “Today, we are collecting data on our workflow that needs to be carefully analyzed. AI-assisted data analysis is the future of manufacturing processes, and Neurala has the industrial and manufacturing inspection expertise we require in an AI solution. As we lead IHI into Industry 4.0, we are proud to partner with Neurala to deploy a reliable AI that can function in settings that are subjective and change rapidly, without requiring any downtime on our production lines.”
IHI will leverage Neurala’s automated visual inspection platform to review product and workflow processes, cementing its reputation as a leader in safety and efficiency. AI-powered inspections allow manufacturers to accelerate new initiatives without sacrificing a gold standard of quality workmanship. IHI will use Neurala’s Brain Builder, the first cost-effective AI tool that allows users to build, deploy and analyze custom vision AI solutions with instant feedback on performance. Brain Builder simplifies the process and reduces the time to deployment in subjective settings, using on-the-fly learning to increase accuracy as the user adds data.
“We are thrilled to partner with IHI as we illustrate the critical role AI will play in manufacturing, improving efficiency in a field in which optimization is essential,” said Massimiliano Versace, co-founder and CEO of Neurala. “We look forward to building upon our strong presence in the APAC region through an industry leader like IHI. IHI selected Neurala to bolster its offerings as the industrial sector continues to evolve; our partnership will demonstrate the value of implementing AI to solve challenges of visual inspection on factory floors and to improve automation.”
Neurala is the company behind Brain Builder: a SaaS platform that dramatically reduces the time, cost and skills required to build and maintain production-quality custom vision AI solutions. Founded in 2006, Neurala’s research team invented Lifelong-DNN (L-DNN) technology, which reduces the data requirements for AI model development and enables continuous learning in the cloud or at the edge. Now, with customers in the industrial, drone, robotics, and smart devices verticals, Neurala’s technology has been deployed on 53 million devices globally.
