Guidance to help organizations achieve better businesses outcomes
White papers can be an excellent learning tool. I’ve told marketing people for years that they should write these instead of all the overtly sales-y stuff they put out. Build trust and a sense of expertise by publishing documents that teach. It’s a bit like my sales “technique” back in the day. Here is a new one adding to the library of Digital Transformation.
The Industrial Internet Consortium (IIC) has published the Digital Transformation in Industry White Paper. This new white paper focuses on digital transformation in industry and the role innovation processes play in it. It also covers the disruptive technologies that transform the way companies operate, service and maintain equipment. The white paper is designed as a guide that business managers, technology managers and risk, security and safety managers can use to develop business models, leverage key technologies and determine the level of trustworthiness they will need as they begin their digital transformation journey.
“Digital Transformation is the next disruptive wave hitting industry. With this publication, we have described the key technologies that underpin digital transformation and the first steps for any enterprise looking to deploy them,” said Jim Morrish, Founding Partner of Transforma Insights and Co-chair of the IIC Digital Transformation Working Group.
Digital transformation initiatives fall into three categories:
- New business models – entails an enterprise transforming to offer a substantially changed service to technology users, often associated with new ways of charging for services
- Enterprise operations – focuses primarily on increasing the efficiency (or reducing the cost, or risk) of providing products and services to technology users
- Customer experience – focuses on changing the customer experience in absence of other changes. These projects tend to center on generating new service revenues or providing new services to customers, particularly field services.
“Digital transformation is a business strategy with the objective to improve business and industrial models and create new ones. This is achieved through the innovative and principled application of digital technologies along with business and organizational realignment,” said Bassam Zarkout, Founder of IGnPower and Co-chair of the IIC Digital Transformation Working Group. “Digital transformation is not a project. It is strategy led by a vision and powered by a committed program, which may involve multiple IIoT projects.”
The white paper covers a wide range of technologies that can enable digital transformation, such as:
- Edge Technology
- Hyper Connectivity
- Data Security
- Artificial Intelligence and Analytics
- Digital Twin
- Distributed Ledger
- Human-Machine Interface
- Additive Manufacturing
- Data Sharing
- Autonomous Robotic Systems
- Innovation at the IT/OT Boundary
- Micropower Generation–Energy Harvesting
- Technical Platforms for New Business Models and Payment Methods
Trustworthiness of systems is a key element of a digital transformation strategy; a lack of trustworthiness may place an organization at a disadvantage vis-à-vis its competitors and can have dire consequences. This could include human injury or worse, interruption of critical infrastructure, unintended disclosure of sensitive data, destruction of equipment, economic loss and reputational damage.
Overinvesting in trustworthiness, can on the other hand increase capital and maintenance costs, reduce flexibility and functionality and introduce cumbersome processes. “Companies embarking on digital transformation must weigh the risks and benefits of both underinvesting or overinvesting in trustworthiness,” added Morrish.
The IIC members who wrote the Digital Transformation in Industry White Paper include: Jim Morrish, Transforma Insights; Bassam Zarkout, IGnPower Inc.; Marcellus Buchheit, Wibu-Systems; Alex Ferraro, PwC; Chaisung Lim, Korea Industry 4.0 Association and Shi-Wan Lin, Yo-i Information Technology.
Also offered is a free IIC Webinar, “Digital Transformation – The Next Disruptive Wave Across Industries,” which runs on September 15, 2020 at 11am EDT, 8am PDT, 1700 CEST.
The Industrial Internet Consortium is a membership program transforming business and society by accelerating the Industrial Internet of Things (IIoT). The IIC delivers a trustworthy IIoT in which the world’s systems and devices are securely connected and controlled to deliver transformational outcomes. The Industrial Internet Consortium is a program of the Object Management Group (OMG).
Many engineers are looking for better ways to move data with fewer programming hours and headaches. Whereas OPC solved many problems leading to interoperability and data exchange, it also brings with it a higher overhead and programming load. For those searching for a something lighter, and also open source, along comes Sparkplug.
Cirrus Link authored the Sparkplug specification and provided it to the Eclipse Foundation, and several other companies support the group as founding members including Chevron, Canary Labs, HiveMQ, Inductive Automation, and ORing. Now additional companies are developing their products using Sparkplug for interoperability.
I recently received a paper authored by Arlen Nipper, president and CTO of Cirrus Link “Sparkplug: Open Source Technology to Bridge the OT-IT Gap”. He begins:
One of the primary pain points in Industrial IoT (IIoT) is disparate systems with both modern and legacy assets. Companies in any industry ranging from oil and gas to manufacturing can hardly imagine a world where they can choose any vendor’s hardware, plug it into their network, and have the hardware 100 percent self-discovered by their SCADA system and every application in the enterprise. True vendor interoperability for both data producers and data consumers is the vision, and new open-source technology may be the answer.
These days, everything relates back to digital transformation. Nipper write, Digital transformation requires devices in the field to be connected, with data made available that can speak the language of both OT and IT for improved business intelligence. In order for this type of digital transformation to be successful, data must be decoupled from a single application so it can flow to enterprise applications in a one-to-many approach.
From the first time I met Nipper, he has evangelized MQTT—a protocol he helped write—as an IT-friendly messaging protocol. It is lightweight. It is a publish-subscribe network protocol allowing for multiple data consumers.
MQTT is a messaging protocol. It does not describe the data traversing the wire (or air). While it provides an excellent engine for delivering IIoT data, MQTT doesn’t make the data interoperable across the enterprise. Thus, a new open source standard has been created and the IIoT industry should understand its importance for bridging the gap from OT to IT.
Nipper explains the next step:
The Internet expanded rapidly thanks to two open technologies – first HTTP, a data exchange protocol, and then HTML, which was used to define the data sent by HTTP. Both were needed. MQTT has needed its “HTML” for years in order for IIoT to explode in growth and adoption. In order to solve this problem of OT-IT interoperability, the Eclipse Sparkplug working group was launched in February 2020 to bring device communications standardization to IIoT.
The Eclipse Foundation states, “The Sparkplug Working Group was established to ‘improve the interoperability and scalability of IIoT solutions, and provide an overall framework for supporting Industry 4.0 for oil and gas, energy, manufacturing, smart cities, and other related industries.’ ”
Sparkplug is an open source software specification that provides MQTT clients with a framework to integrate data. The specification articulates three goals:
1. Define an MQTT Topic Namespace optimized for IIoT.
2. Define MQTT State Management to take advantage of continuous session awareness.
3. Define the MQTT Payload.
Sparkplug adds features including birth certificate and death certificate (session awareness) to help with contextualization of data.
Sparkplug makes this process fast, secure, and open standard so anyone can make use of the framework for MQTT interoperability. Many device manufacturers are supporting Sparkplug, which means it is built in natively on the device on the OT floor.
With Sparkplug, machine learning and artificial intelligence applications can utilize the same standard interface for data without having to know and understand the entire OT environment. They can subscribe to the OT data, and use it immediately for IT functions.
I had an opportunity to talk with Ben Stewart, VP Product Strategy for Plex Systems, the other day to get my first deep dive for years. I talked with the company occasionally, but it was primarily an ERP developer with a robust MES incorporated. Much has happened lately.
What has set Plex apart for years is its SaaS, multi-tenant cloud offering. While competitors have only recently found a way to move from the license-based, client-server model to some form of cloud offering using browser-based connectivity with HTML 5 to offer visualization through tablets and smart phones.
Plex has made several moves within the past year to bolster its presence and offering and along the way garnered a Gartner recognition. First, Plex has made its MES available without its ERP so that users of other ERP solutions can add Plex SaaS MES. The second news is the Gartner recognition. And the third news item discusses Plex entering the IoT space through acquisition giving it a robust and comprehensive solution to its customers.
Plex Manufacturing Execution Suite (Plex MES)—a flexible cloud-based suite.
Plex Systems manufacturing operations capabilities are now available as a best-of-breed shop floor-specific offering called the Plex Manufacturing Execution Suite (Plex MES). This cloud-based suite is comprised of packages that satisfy the spectrum of smart manufacturing needs from MES to manufacturing operations management (MOM).
“Plex allowed us to quickly standardize our systems and processes across eight facilities globally, helping the company record production and quality checks in real-time,” said Jennifer McIntosh, ERP Manager of Gill Industries, a world-class supplier of advanced mechanisms and welded assemblies. “With the entire company now working from a single system of record, we are able to leverage MES capabilities to continuously improve our quality standards and optimize processes while reallocating our staff to focus on value-added business activities instead of system and server maintenance.”
Plex MES is designed to seamlessly connect insights from the shop floor up to the top floor, enabling production to deliver relevant real-time, operational information to key roles throughout the organization and empowering everyone to make better business decisions.
Plex MES gives manufacturers access to key capabilities required for smart manufacturing, including:
Error-proofed control: Choreographed production processes are driven directly from the quality control plan to shorten cycle times and improve efficiency. A unique operator control panel is paperless and easy-to-use, allowing for increased productivity and fewer manual input errors. In-line quality control governs quality activities to ensure check sheet compliance, and real-time production reporting allows for real-time decisions.
- High-resolution visibility: The full production lifecycle—from raw materials through finished goods—is accessible from anywhere on any connected device. Operations are monitored in real-time, delivering manufacturing intelligence for more accurate decision-making. Compliance risk is mitigated through database-driven traceability information, while increased visibility to asset performance creates more opportunities for continuous improvement.
- Seamless connectivity: Flexible, configurable cloud MES is connected by design. It is easy to deploy and standardize enterprise-wide while connecting to enterprise systems like a corporate ERP. Edge connectivity to industrial automation ensures at-rate production recording to Plex MES in the cloud. The Plex MES solution is fully unified, reducing the risk of disruptions common with an MES comprised of multiple point-solutions.
“There is an underserved need among large organizations to tap into the invaluable data generated in plants around the world,” said Bill Berutti, CEO of Plex Systems. “Plex MES answers that need by consolidating our 20 years of manufacturing expertise into a highly targeted smart manufacturing solution that enables operational visibility, transparency, and accuracy, helping manufacturers standardize operations across multiple plants.”
Plex Systems announced that Gartner has recognized it as a Challenger in the 2019 Magic Quadrant for Manufacturing Execution Systems. For this report, Gartner evaluates vendors on their Completeness of Vision and Ability to Execute. Plex is positioned furthest for Completeness of Vision in the Challengers quadrant and has improved its position on Ability to Execute compared to the previous year.
“We feel that recognition of Plex Systems as a Challenger is further validation of our ability to disrupt the MES market,” said Bill Berutti, CEO of Plex Systems. “Our manufacturing expertise is based on decades of helping customers exercise control over their shop floor operations while gaining access to invaluable data. Plex MES is flexible and scalable, answering a growing need among manufacturers to standardize their shop floors anywhere in the world.”
According to the 2019 Magic Quadrant for Manufacturing Execution Systems report, “The global MES market is a key pillar of smart factories and digital business for manufacturers. New technologies are starting to be leveraged, and disruptors are emerging. Supply chain technology leaders should use this research to select appropriate vendors and solutions.”
Plex delivers cloud MES and ERP to nearly 700 global process and discrete manufacturers. As a multi-tenant SaaS solution, manufacturers can easily implement, scale, and standardize operations with Plex across their plants throughout the enterprise.
Plex is also rated on Gartner Peer Insights, an online platform of ratings and reviews of IT software and services written and read by IT professionals and decision-makers. Verified, anonymous reviews provided by members of the Plex worldwide customer base include:
Plex Systems releases Industrial Internet of Things (IoT), a suite of solutions designed to solve business challenges generating from the shop floor.
Plex Systems released Plex Industrial IoT, which connects machines to the cloud, manages the resulting data streams, and contextualizes the information in real time. The first available offering will focus on asset performance management (APM), helping companies avoid manufacturing disruption caused by common problems like unplanned downtime, diminished machine performance, and substandard quality output.
Plex’s new solution enables manufacturers to implement and leverage connectivity in the era of Industry 4.0, breaking down siloes created by varying protocols and data types used by equipment and sensors by simplifying the connection to machines and the contextualization of data. Plex Industrial IoT grants access to the underlying machine intelligence, delivering to manufacturers timely and accurate insight in a single solution, eliminating operational surprises.
Plex Industrial IoT delivers:
- Continuous improvement through access to historical IIoT data: The first solution within the suite focuses on asset performance management (APM), starting with an understanding of current and historical activity. This real-time assessment empowers shift supervisors and plant managers with the data to understand behaviors, trends, and diagnose root cause of common challenges like machine failures, efficiency dips, or substandard quality output.
- Improved productivity with real-time asset dashboards: Plex Industrial IoT helps manufacturers monitor what is happening with any asset, in any facility, from any connected device with comprehensive pre-built dashboards. Customizable and real time, these dashboards deliver access to up-to-the-minute metrics and analytics. The information delivered by the dashboard enables manufacturing leaders to respond to live data immediately and accurately to improve operator performance or overall equipment effectiveness (OEE) mid-shift.
- Minimized operational disruptions by predicting and preempting unplanned downtime: Data collected over time with Plex Industrial IoT, analyzed against historical trends and contextualized against MES and ERP data from the same facilities, will expose an unprecedented quality of shop floor to top floor insights. This reduces operational disruptions to help manufacturers better plan for the previously unanticipated.
This is Plex’s initial Industrial IoT offering following the acquisition of IIoT leader DATTUS in July 2018.
Interact Analysis’s new report on the market for predictive maintenance highlights the potential for a new relationship between component manufacturers, OEM machine builders, and end users.
- By 2024, the market for predictive maintenance in motor driven systems is forecast to reach a valuation of $906.1 million
- Enhanced demand for remote monitoring as a result of COVID-19 means there will be no slowdown in market growth
- SaaS is likely to be the main business model for provision of predictive maintenance, and also eases concerns over data ownership
Interact Analysis, my new favorite market research firm, has announced an in-depth examination of the predictive maintenance market. It forecasts a boom in the sector, propelled by the emergence of smart sensors able to monitor crucial parts of a motor-driven system that are not covered by legacy maintenance devices and methods. Advanced smart sensors will allow delivery of viable cloud-based predictive maintenance service packages using a SaaS business model.
One reason I like Interact Analysis right now is methodology. In addition to 40+ hours of primary research interviews, Interact Analysis has utilized data from national manufacturing surveys, as well as data developed for other research areas. This data, combined with the information gathered from interviews, is the base at which estimates are developed.
The report shows that the market for predictive maintenance in 2019 was $117.5 million, largely made up from legacy predictive maintenance products such as portable monitoring devices. Many of these devices will maintain strong growth in the coming decade but will be used in tandem with new technologies such as smart sensors, the latter fueling an expected boom in market value of predictive maintenance technology, up to almost $1 billion in 2024. The significant fall in price of the capacitive based microelectromechanical systems (MEMS) found in Smart Sensors will be one of the drivers of this market.
I like their methodology and analysis—except for forecasting. Predicting future sales is so fraught with uncertainty that I take it as an interesting guide. Evidently sensor manufacturers reported doubling of sales over the two previous years. Look at the numbers and you can see that Interact assumed that doubling to continue through 2024.
When I read through the report synopsis, I was struck by the reliance on smart sensing as a foundation to the market growth for predictive maintenance. I missed a point. They have detected the beginnings of a trend that I have not yet seen. Software-as-a-Service applied to these intelligent devices. Selling the data, not the sensor, so to speak. I’m interested in your feedback on this development. And whether it can drive this market to a billion dollars.
Back to the report:
Smart sensors, which typically monitor sound, temperature, and vibration, may not provide the depth of data offered by some legacy devices, but they have significant advantages. Whereas most legacy devices are attached to motors, IA predicts that only 53% of smart sensors will be attached to motors by 2024. The rest will be attached to other machine components which are also subject to the wear and tear of daily use. This means that the application of predictive maintenance will be far more widespread in the factories of the future.
Blake Griffin, lead analyst on predictive maintenance at Interact Analysis, says: “Smart sensor technology coupled with IIoT capabilities give component manufacturers and OEM machine builders the scope to offer end users an anticipatory service package. For most providers of predictive maintenance, the logical business model will be software as a service. A side benefit of SaaS is that it ties all technologies together under a single solution – thereby eliminating concerns regarding data ownership. Additionally, advancements in embedded machine learning will improve the ability for predictive maintenance to be installed in new or non-standard applications that are less well understood, further fueling growth.”
Adrian Lloyd, CEO of Interact Analysis, adds: “Modern predictive maintenance technology is currently at the beginning of an exponential growth trajectory. Now is a more important time than ever for suppliers to understand key trends at play so they may work at carving out their share of this market – forecast to be worth nearly $1 billion by 2024.”
Griffin further explained the background in a Blog Post. Following are some excerpts.
What are Smart Sensors?
Smart sensors are a fairly new technology that are placed on equipment to gather various data points, most commonly vibration and temperature measurements. Smart sensors then transmit this information wirelessly to a data collector or gateway. When analyzed, this data is particularly useful for assessing the health of equipment as usually the level of vibration and temperature increases as equipment becomes faulty.
How is this Different from Condition Monitoring?
In a traditional condition monitoring system, very little effort is made to determine when equipment will fail, instead relying on set parameters to determine when an asset is at risk of failing. The problem with this approach is that it limits the number of applications which can be monitored. If parameters must be set for an alarm to be triggered, those parameters must be well understood. This decreases the reliability of these systems in applications that are not well understood.
For predictive maintenance to be performed, a level of intelligence must exist somewhere in the plant infrastructure, whether in the form of software, hardware or even application expertise by an experienced operator. A historical log of how the equipment being measured has performed must be utilized to assess if it is trending towards a failure. Increasingly, machine learning algorithms are being utilized to enhance the understanding of the application being measured. This technology utilizes the historical data produced by the smart sensor to better understand and recognize patterns. Having an automated solution for pattern recognition allows for quicker and more reliable detection of anomalies within the data. This not only expands the number of applications able to be monitored beyond just well understood ones, it also increases the amount of time operation managers have to resolve a piece of equipment that is trending towards failure.
Key Driver: A Push for the Realization of Digitalization and IIOT
The most important trend impacting industrial automation is the digitalization of these systems and the equipment within. Over the last 6-7 years, remarkable breakthroughs in technologies that help improve plant efficiency, productivity and reliability have been developed, although uptake so far has been challenging due to the cautious nature of end users when it comes to adopting new technologies.
While these vendors have released software and services aimed at harnessing the benefits of IIoT, it is clear that in order to make use of these solutions, a substantial increase in the number of connected devices is needed. Smart sensors represent an important piece of this puzzle. Since the advent of smart sensors, major automation vendors like ABB, Siemens, WEG, and Nidec have all released their own versions, presumably recognizing the enabling behavior of this technology. We expect this trend to continue as the product is desperately needed in order for manufacturers to begin generating tangible benefits from IIoT technology.
Not too long ago, I received an email from noted cybersecurity guru Eric Byres who told me he was back in the industry after a brief hiatus as an advisor to Verve Industrial. The company didn’t register with me, and I went on to other things.
This week I received a message from an old PR contact who just picked up a new client–you guessed it, Verve Industrial. I agreed to an introductory call to find out more. I didn’t expect to be talking to anyone I knew, so the name didn’t register with me. Should have. I found myself talking with Rick Kaun this week. Now VP Solutions with Verve Industrial, turns out I knew him from previous stints with Matrikon and Honeywell.
The company began life as a SCADA and PLC integrator. The owner progressively noticed security situations and evolved a cybersecurity practice. Considering a way to grow, he took in funding and a new CEO (former McKinsey, but evidently not a bad guy–have to note that, I once worked for a couple of ex-McKinsey guys) and a new CTO. And a new VP Solutions.
The company takes a different strategy for its offering from others. Kaun notes the original solution was to white list devices on the network. To improve on that, many companies went to passive detection solutions.
Verve has an agent-based platform that allows for remote changes to the PLC or SCADA only with a trusted person at the console in the plant. It is compliant with OT topologies yet can talk the security talk with CISO types.
Not only for intrusion prevention, clients who use the system are currently getting 10x production.
I’m not a security expert. It’s just that cybersecurity is a crucial element of good IIoT design. So, here are some bullets to whet your appetite if you are looking for an interesting alternative to your current solution.
Verve Security Center
- Faster & Lower Cost Deployment
- Faster Time to Remediation
- More Efficient Analysis, Reporting, and Audit with Integrated UI
- Improved Approach to OT Business Risk Management
- Lower Cost Security Management
- NO Risk to OT Operations
- Ability to Leverage Prior Tool Investment
- Deeper & more comprehensive asset inventory
- Faster time to remediation with closed loop vulnerability management
- Better risk rating with view of vulnerabilities, process criticality plus all user accounts, risky software, network connections in a single risk score
- Lower security management costs with scaled analysis and playbook development with local OT control over remediation – in same platform
- Better detection with open-platform data ingestion from multiple OT and IT tool sets
Current solutions do not enable limited OT resources the rapid visibility and response to vulnerabilities and threats they need:
- Traditional IT tools cannot protect IOT/OT embedded devices with proprietary firmware
- IT vulnerability scanning tools can damage sensitive IOT/OT systems
- Tools are siloed by function increasing necessary labor and specialized skills
- Most OT-specific tools are passive detection only and offer limited remediation capabilities
- Available solutions are expensive to deploy and manage
A fundamentally different approach to IT/OT security management:
- Deploy across all IT/OT/IOT systems in minutes with no expensive hardware requirements
- “Closed-loop” solution from assessment to remediation
- Faster time to discovery and remediation
- OT-safe agent/agentless solution for real time vulnerability assessment and end point management
- Lower total cost of ownership
- No silos: integrate NIST CSF and other compliance requirements in single platform
Once again, in lieu of attending Hannover Messe in person, we attended a Web briefing. Harting held this one last week. I picked deeper information about a couple of technologies—especially “single-pair Ethernet (SPE).” It’s hard to do a complete Industrial Internet of Things (IioT) installation without connectors, cables, and the like. Harting has been a leader in this field.
“The industrial arena is undergoing far-reaching change: For Harting, this transformation means leveraging our key technologies and entering into targeted partnerships in order to pool skills and competencies capable of creating new solutions within the framework of our entire technology network,” explained Philip Harting, CEO Harting Technology Group. “Our ultimate goal here is to develop these solutions in larger contexts and create ecosystems that generate significant added value for our customers.”
Small Ethernet Infrastructures
Evolution of the Ethernet connector. Harting turned the RJ45 into the “RJ Industrial”, created modular M12 interfaces with X-coding and PushPull locking, and set the next major milestone in Industrial Ethernet with the miniaturized “ix Industrial interface” – which is 70% smaller than an RJ45, yet significantly more robust. ix Industrial is one of the most important components in the Harting solution portfolio for its All for Ethernet segment.
For more information, check out our Industrial Ethernet Trends 2020 webinar series.
Industrial standard interface for SPE
Users can now make investments with a reassuring measure of security: IEC 63171-6, published on 23 January 2020, sets the basis for future IIoT networks. The international standards bodies ISO/IEC and TIA have declared the IEC 63171-6 interface as the standard for SPE in industrial applications. On this foundation, a comprehensive portfolio for the Single Pair Ethernet market is now emerging.
SPE Industrial Partner Network grows to 20 members
Last year saw the foundation of the bhttps://www.single-pair-ethernet.com. As a registered association, the Network is more than just a loose association of companies with shared interests – it is a strong, legally binding community of partners. Consequently, it provides the security required to implement this new physical layer. All the companies in the network are technology leaders in their own right; between them, they specialise in the various fields needed to strengthen and complete the SPE ecosystem. The common, unifying basis of their work is the international standardisation for SPE infrastructure in accordance with IEC 11801-x, IEEE 802.3 and IEC 63171-6. In the space of just a few months, numerous strong partner companies from various fields of industrial production have expressed their support for IEC 63171-6 and joined the SPE Industrial Partner Network.
Han S: Safe contacting of modular energy storage systems
In Han S, Harting is – for the first time – introducing a special connector for battery storage modules. Global demand for electricity storage systems is booming. The new series meets the technical requirements of the latest standards for stationary energy storage systems (including UL 4128) and offers users optimum safety for the connected units. The single-pole connector solution with a 200A high-current contact is mechanically coded, is coloured red and black for easy identification, and locks intuitively. In this way, Han S enables fast, reliable contacting of storage modules and enables the processing of large volumes.
Han 1A: Miniaturised rectangular connector ideal for networking
The Ethernet networks sensors, machines, controllers, computers and data centres. Harting is now offering interfaces tailored to these applications as part of the miniaturized Han 1A industrial connector series.
The Han 1A features two new inserts for fast and secure data transmission. This can be used to supply end devices with up to 100 Mbit/s Cat. 5 Fast Ethernet for Profinet-based communication; a 10 Gbit/s, Cat. 6A version for High-Speed Ethernet is also available. The latter is used for live camera system applications.
High-performance switch with robust ix Industrial Interface
Imaging processes are becoming increasingly important for quality assurance and monitoring in all industry sectors. New camera technologies offer higher resolution despite their increasingly compact dimensions.
The new eCon 2000GX-I-A unmanaged Ethernet switches from Harting are high-performance Gigabit switches, enabling consistent networking of machine-monitoring and diagnostic systems via ix Industrial.
Focus on user-optimised DC power transmission
One current trend – particularly challenging from a technical perspective – lies in the field of DC power transmission, where demand is forecast to rise sharply. To equip the field of application with the appropriate installation technology, Harting is promoting technology concepts that offer increased personal and plant protection. A novel connector for industrial applications transmits voltages of up to 800V and currents of up to 40A and cannot be removed when under load. In addition to the DC Industries working groups, Harting is also engaged in the activities of the German Commission for Electrical, Electronic & Information Technologies (DKE) geared to drafting new standards. The project is based on cooperation with the SmartFactory KL.
Software solutions for cloud and edge: Partnership with PerFact
Harting are keenly focused on establishing optimal connections between the field level and software solutions in cloud and edge computing. Harting RFID solutions, digital twin, and the MICA edge computing gateway operate at this interface. What’s more, intelligent sensor technology solutions – which ensure seamless data exchange within networks – are also becoming increasingly important.
The partnership with PerFact, which Harting announced at the SPS trade fair in Nuremberg in November 2019, will be expanded in the field of software. PerFact develops customisable modules for servicing, maintenance, logistics and process management as IT solutions for industry.
“The market environment of the MICA edge computer, RFID, and IIoT is developing at an incredibly fast pace. Rapid, agile and entrepreneurial action is imperative,“ emphasized Philip Harting. In this context, the three companies peraMIC, PerFact, and Perinet will be advancing solutions in the field of digitalisation and will be cooperating closely with the Harting Technology Group.
PerFact develops individual, customization modules for service and maintenance, logistics, and process management as IT solutions for industrial clients. Perinet (Berlin) concentrates on the seamless connection of sensors and actuators with IT systems (ERP, for example), in order to improve the transparency and analytical performance throughout the value creation chain.