by Gary Mintchell | Jan 20, 2016 | Automation, Internet of Things, Networking, Operations Management
Everyone is in a rush to get an opinion or observation published about the Internet of Things. Evidently it gets lots of page views. Recently other analysts have been publishing thought pieces on IoT in Industry. It appears they have reached the same conclusion that I first broached a couple of years ago. The IoT is not a “thing.” To make any sense of it and use it for any strategy, it must be thought of as an ecosystem encompassing a variety of technologies.
Here is an article that appeared in the Sloan MIT Management Review. Since I am a subscriber, I don’t know if you can see the article at this link.
The writer is Sam Ransbotham is an associate professor of information systems at the Carroll School of Management at Boston College and the MIT Sloan Management Review Guest Editor for the Data and Analytics Big Idea Initiative. He suggests, “The Internet of Things will bring huge changes to the way markets and businesses work — and it could get messy.”
Here is a bromide that I’ve read a thousand times, “Most businesses aren’t ready for the changes to the marketplace that the Internet of Things will bring. But the time to prepare for them is now.”
Actually most business adapt. Some are visionary and will develop new products, processes, and services–and make a lot of money. Others will adapt and survive. Still others will wonder what happened and die. That is the way of business for at least 5,000 years.
Use Case for Internet of Things
“Yes, the potential insights from IoT are enticing. For example, it’s fun to think about the potential personal and even societal benefits from self-driving cars, such as fewer accidents, no problems with parking, more productivity while traveling, car sharing, greater infrastructure efficiency, etc. But perhaps a more profound implication is the data that they can collect. These cars will also be widely distributed “things,” gathering performance data that can help manufacturers diagnose problems, operational data that can help mechanics prevent failures, driver data that can help insurers understand risk, road data that can help cities improve infrastructure, etc. These kinds of insights, we’re ready for.”
But there are a lot more changes coming with the IoT transformation than many people may recognize.
Ransbothem looks into information technology as a model for what will happen in IoT. “About a decade ago, advances in information technology converged to fuel a boom in corporate use of analytics. First, widespread implementation of information systems captured unprecedented amount of data in ways that could be used in isolation or combined. Second, tools and technologies allowed the inexpensive storage and processing. Third, savvy analytical innovators creatively combined these to show everyone else what could be done.”
We have seen all this play out in industrial systems. There remains more to be done, here, though.
He proceeds to look at Internet of Things. “First, the cost and physical size of sensor technology have dropped such that they can be incorporated into most items. Second, widespread communications infrastructure is in place to allow these distributed components to coordinate. Third, once again, savvy innovators are showing the rest of us the possibilities from the data they collect.”
Manufacturing and production are not only poised to exploit these technologies and strategies, they have already been implementing to one degree or another. But his point is valid. IoT needs the ecosystem of sensing devices, networking, communication technology, databases, analytics, and visualization.
Ransbothem identifies four areas of change. Of these, I direct your attention to the last–process changes. I think everything feeds into process changes–not just the processes to make things, but also the information technology, supply chain, and human processes that must not only adapt but thrive with the new information awareness.
- Market Power: IoT should provide a greater amount and a greater value of data, but are companies ready to align their interests in obtaining value from this data with the multiple other companies and end users who create, own, and service the products that originate the data? In the driverless car example, it is easy to see how multiple stakeholders could make use of the data from cars; the same is true for other devices. But it may not be clear who owns what data and how it can be used.
- Complexity: Few organizations are prepared to be hardware and software development companies. But that’s what the Internet of Things will enable. As products are built with embedded sensors, the component mix increases in complexity. As a result, manufacturing systems and supply chains will become more elaborate. Software embedded in products will need to be updateable when the inevitable shortcomings are found.
- Security: If we believe data is valuable, then we need to be ready for people to want to take it from us — why would data be any different than any other precious item? The IoT context intensifies the need for security requirements; for example, sensors or software that allow physical control of the product make attacks easier.
- Process Changes: Many business processes continue to be “pull” oriented. Information is gathered, then analyzed, then decisions are made. This works when change is slow. But with the IoT transition, data will stream in constantly, defying routine reporting and normal working hours. Flooding data from IoT devices will give opportunities for quick reaction, but only if organizations can develop the capacity needed to take advantage of it. Few mainstream large companies are ready for this, much less small- to medium-sized companies that lack the resources of their larger corporate brethren.
The Internet of Things is bringing and will continue to bring advances in how we do business. How well will executives, managers, and engineers execute on this vision? That is key.
by Gary Mintchell | Jan 18, 2016 | Asset Performance Management, Automation, Internet of Things, Manufacturing IT, Networking, Operations Management, Technology
Predictive maintenance benefits more from implementation of the Internet of Things than perhaps any other function at this early stage of wide-spread adoption.
I have written on this topic several times over the past couple of years.
Predictive Condition-Based Maintenance
IoT Testbed For Condition Monitoring To Predictive Maintenance
Use Of Internet of Things Enhances Preventive Maintenance
10 Myths About Predictive Analytics (SAP)
A foulup at Starbucks, Preventive Maintenance Prevents Production
Cloud Platforms For Internet of Things
Predictive or Condition-Based
The asset management community has not made it easy for us generalists with its terminology and definitions. Searching for predictive maintenance (PdM) often serves up results for condition-based maintenance. I am not going to attempt a final definition, but I found something that made sense on the OSIsoft Website. “PdM defines methods to predict or diagnose problems in a piece of equipment based on trending of test results. These methods use non-intrusive testing techniques to measure and compute equipment performance trends.”
Condition-based maintenance (CBM) is a methodology that combines predictive and preventive maintenance with real-time monitoring. PdM uses CBM systems to detect fault sources well in advance of failure, making maintenance a proactive process. CBM accurately detects the current state of mechanical systems and predicts the systems’ ability to perform without failure.
Business Risk
The Aberdeen Group, Report: Building the Business Case for the Executive, December 2013, found that 40 percent of 149 manufacturing executives identified failure of critical assets as the top risk they face.
How do we mitigate this risk? Predictive maintenance and condition-based maintenance are methodologies that help. One thing that makes these strategies work is data. With sufficient data along with a model of the asset’s condition at operational efficiency, reliability engineers can begin to predict failures before they happen.
Just like your car, productive assets pick the worst time to fail. This unplanned downtime is exceedingly expensive. Using predictive technologies, managers can plan for shutdowns at an appropriate time. The right parts can be on hand, labor lined up, production schedules adjusted, all because everything can be planned.
I’ve been talking with Dell often since October when I attended Dell World and it unveiled its Internet of Things initiative.
The interesting thing about Dell compared to almost everyone else I cover is that they approach the IT/OT convergence issue from the IT side rather than the OT side.
Dell’s first IoT product is something I think we’ll see more of–analytics at the edge combined with gateway technology that can bring disparate sources of data together, massage them, send them off to the cloud for further analytics, storage, and visualization. Dell’s current partners are SAP for predictive maintenance and Statistica for analytics.
Expect to see more of these partnerships evolve. In some cases, such as PTC, we are seeing acquisitions to add IoT capability. On the other hand, larger companies who do not have enough in common overall to merge will forge partnerships to offer complete solutions to customers.
We see some of this through the rise of Industrial Internet and IP organizations.
Collecting, moving, analyzing, and displaying data is becoming a big and important business. Customer executives will come to appreciate the work as their companies gain efficiency–and profits.
by Gary Mintchell | Jan 13, 2016 | Automation, Events, News, Operations Management
We are closing in on February and time to start thinking about the ARC Industry Forum in Orlando. I went to my first one in 1998 and have my airline and hotel reservations for this edition.
Given the demise of general industry trade shows, there are precious few opportunities to see a large cross section of the automation and control industry. This is one.
I have 2 or 3 appointments set. If you are there, ping me. Maybe we can do a “meet up” in the lounge before everyone splits for dinner or something. Or stop me to chat during the week. ARC has once again planned an afternoon of press conferences for its sponsors. I’ll arrive in time to listen if you are presenting.
The 20th Annual ARC Industry Forum has the theme, “Industry in Transition: Navigating the New Age of Innovation”.
The conference is February 8-11, 2016 at the Renaissance Sea World in Orlando, Florida.
ARC says, “New information technologies such as Industrial Internet of Things (IIoT), Smart Manufacturing, Industrie 4.0, Digitization, and Connected Enterprise are ushering in a new age of innovation. These concepts are clearly moving past the hype, where real solutions are emerging backed by strong business cases. Expect to see innovations in smarter products, new service and operating models, new production techniques, and new approaches to design and sourcing. Join us to learn how this industrial transformation will unfold and what other companies are doing today to embrace innovation and improve their business performance.”
Questions they expect to address:
- How will inexpensive, easy-to-install sensors change existing products and plants?
- Will cyber security concerns impede disruptive innovation?
- What kind of intelligence will machines have and what value will this bring?
- What role will Wi-Fi and LTE play?
- How do Big Data and predictive and prescriptive analytics enable operational change?
- What is the opportunity in aftermarket services?
- What software capabilities are needed to achieve transformational change?
- Which industries are already changing?
- What steps can organizations take to foster innovative thinking?
Forum’s Keynote Presentations
Michael Carroll, Vice President, Innovation & Operations Excellence, Georgia-Pacific
Michael joined Georgia-Pacific in 2010 to focus his technological and entrepreneurial talents on innovation and leadership. Prior to that he and a partner formed McTech Group, a company focused on innovative products for the building products and construction industry. In addition to his Executive Vice President responsibilities, Michael formed a Joint Venture designed to sell consumer “DIY” products to big box retailers like Wal-Mart, Home Depot, and Lowe’s. Previous positions include Director of Operations at Riverwood International, CEO of North and South American Operations at Shepherd, and Principal Change Agent at Mead Paper.
Sandy Vasser, Facilities I&E Manager, ExxonMobil Development
Sandy has been with Exxon or ExxonMobil for over 35 years and has been involved in a number of Upstream projects covering offshore facilities, onshore facilities, and cogeneration facilities. He currently manages a team of about 120 electrical and I&C professionals responsible for the design, installation, and commissioning of electrical generation and distribution systems, process control systems, and safety instrumented systems for all major ExxonMobil Upstream capital projects. This team is also responsible for developing, promoting and implementing strategies, practices, processes, and tools for successfully executing project automation and electrical activities.
Rob High, Vice President and Chief Technology Officer, Watson Solutions, IBM Software Group
Rob has overall responsibility to drive Watson Solutions technical strategy and thought leadership. He works collaboratively with the Watson engineering, research, and development teams across IBM. Prior to joining Watson Solutions, Rob was Chief Architect for the SOA Foundation and member of the IBM Academy of Technology. He championed an open industry architectural definition of the principles of business and IT alignment enabled by SOA and business process optimization, as well as ensuring IBM’s software and services portfolio is architecturally grounded to enable for efficient SOA-based solutions. Rob has 37 years of programming experience and has worked with distributed, object-oriented, component-based transaction monitors for the last 26 years.
by Gary Mintchell | Jan 11, 2016 | Asset Performance Management, Automation, Internet of Things, Operations Management, Technology
Remote monitoring and diagnostics is a key driver for the Internet of Things strategy adoption in manufacturing and production. Advances in both the technology and services involved in this area appears to be the area of best economic return these days.
Rockwell Automation recently released news about its take on a diagnostic reliability service. Rockwell doesn’t tie it to the Internet of Things, much to its credit. But this solution fits within the broad trend I’ve seen developing.
The solution deploys a layer of technology across plant devices and equipment to monitor and perform analysis, and create a continuous improvement approach to reliability maintenance, reducing operational risk. As part of the service, a Rockwell Automation domain service expert also closely tracks equipment performance to advise on reliability improvements to the production facility.
“Our customers have access to a huge amount of data within their assets, but they often struggle to turn data into useful operational intelligence,” said Ryan Williams, product manager, Rockwell Automation. “In the past, companies relied on maintenance personnel on-site to check the status of equipment in the field and then develop corrective action plans. Now, with the diagnostic reliability service, they can transform maintenance data into asset intelligence. This helps build a more Connected Enterprise, leveraging interconnected data systems and producing actionable information. Companies can better prioritize choices on maintenance and production, and do more with less.”
The solution automatically collects identity and health data from all networked devices on the production control network. The data is then modeled with asset management information to trigger events and send alerts to necessary personnel for proactive maintenance. With the service, Rockwell Automation asset reliability professionals assist users in applying the intelligence on their critical equipment to inform data-driven maintenance decisions and increase productivity.
Case in diagnostics
Case in point: A major oil and gas company used the diagnostic reliability solution to help centralize information gathering and monitor hundreds of critical control assets across a California rural valley. The company also needed inventory of all the field devices in its process control network for a companywide cybersecurity policy. The automated identification and monitoring solution helped the company’s California business unit comply with the new corporate policy, reduce costs associated with field service manpower through proactive maintenance, and increase its daily oil production.
Through integrated, automated device identification and tracking, other customers using the diagnostic reliability service can realize approximately 70 percent reduction in manual data-collection time.
The diagnostic reliability offering is applicable to all manufacturers, with an industry emphasis including oil and gas, mining metals and cement, auto tire and rubber, and consumer packaged goods.
by Gary Mintchell | Jan 4, 2016 | Commentary, Internet of Things, News, Operations Management
Following on to last week’s quick post of PTC’s Internet of Things acquisition of Kepware, I’ve gone a little deeper into the build up to and the strategy of the acquisition.
First off, the Internet of Things is a strategy. It isn’t a “thing.” PTC management seems to “get it.” As you’ll read further down, PTC is not pursuing a simple bolt-on strategy such as what several companies have come to me to help justify. This appears to be a serious attempt to assemble a complete ecosystem / platform going beyond a simple IoT play to offer a business solution to customers.
Warning note. PTC is acquiring software companies and attempting to blend their technologies into a coherent whole. We’ve witnessed many of these seemingly simple processes go south quickly. But PTC has done this before in its core market, then again in the services market. I have confidence the company will show the way in a complete solution.
PTC is paying a large premium for Kepware–Up to $120 million for a company with about $20 million in annual sales. It obviously thinks there is a tremendous upside to its IoT business.
From the press release: PTC announced it has signed a definitive agreement to acquire Kepware, a software development company that provides communications connectivity to industrial automation environments, for approximately $100 million, plus up to an additional $18 million based on achievement of certain strategic initiatives and financial results. The acquisition will enhance PTC’s portfolio of Internet of Things (IoT) technology, and accelerate the company’s entry into the factory setting and Industrial IoT (IIoT).
Founded in 1995 and located in Portland, Maine, Kepware serves customers in more than 120 countries in such industries as manufacturing, oil and gas, building automation, and power and utilities. The company’s flagship product, KEPServerEX, connects disparate devices and control systems, providing users with a single source of industrial data.
Kepware’s KEPServerEX will become a strategic component of the PTC ThingWorx IoT technology platform. Once the companies’ products are integrated, machine data will be able to be aggregated into the PTC ThingWorx platform, integrated with a wide array of internal and external information, and then automatically analyzed using ThingWorx machine learning capabilities. The integration will allow organizations to gain enterprise-wide insight and to proactively optimize mission-critical processes – enabling them to improve operational performance, quality, and time to market.
In its June 2015 research report, entitled The Internet of Things: Mapping the Value Beyond the Hype, the McKinsey Global Institute identified the factory as one of the largest sources of potential value to be realized from the adoption of the Internet of Things. PTC has established a dedicated business segment and has formed a strategic alliance with GE to pursue this brilliant factory opportunity. The acquisition of Kepware is intended to complement the alliance with GE.
Kepware and PTC share many common customers that will be able to realize value from the acquisition. Industrial environments already leveraging Kepware technology will be able to benefit from the added breadth of capabilities available in the PTC ThingWorx IoT technology platform. The acquisition of Kepware will also provide a fast-to-value connectivity option for PTC customers to gain visibility into data from a vast range of industrial controls and production equipment, enabling them to kick-start their smart, connected factory initiatives.
“PTC is committed to helping manufacturers, infrastructure operators, and others realize the enormous value inherent in the Internet of Things,” said Jim Heppelmann, president and CEO, PTC. “With this acquisition, we will gain entry into heterogeneous factory and operating environments with robust technology, an impressive list of customers, and a high-quality, profitable company with incredibly talented employees.”
“Kepware and PTC share a common vision of helping organizations realize the potential of the Industrial Internet of Things,” said, Tony Paine, CEO, Kepware. “We believe this acquisition will benefit our customers, partners, and employees – and ultimately drive software innovation for industrial automation markets. We are excited for the opportunity to become part of PTC.”
Over the past 12 months, privately-held Kepware generated approximately $20 million in revenue. PTC expects to draw on its credit facility to finance this transaction and expects Kepware to be neutral to its FY’16 non-GAAP EPS. The transaction is expected to close in early 2016, subject to customary closing conditions, including regulatory approval. PTC intends to maintain the Kepware partner ecosystem and to continue developing and enhancing the Kepware technology, once acquired.
PTC Internet of Things Acquisitions
2014
Thingworx
The acquisition of ThingWorx positions PTC as a major player in the emerging Internet of Things era.
Axeda
The acquisition of Axeda allows PTC to leverage its core IoT technology to enable companies to establish secure connectivity and remotely monitor and manage a wide range of machines, sensors, and devices.
2015
ColdLight
The acquisition of ColdLight’s Neuron automated predictive analytics platform will enrich PTC’s technology portfolio and extend PTC’s position as a leader in the Internet of Things (IoT) market.
GE Alliance
GE and PTC announced that the two companies are partnering to deliver an innovative manufacturing solution that will be available within GE’s Brilliant Manufacturing Suite. This new GE-branded manufacturing solution leverages the capabilities of PTC’s ThingWorx Industrial Internet of Things application enablement environment. The result is an industry-hardened solution that features flexible dashboards and powerful data analytics integrated with GE’s software capabilities on the manufacturing plant floor.
ThingWorx IoT Platform
- ThingWorx Composer
ThingWorx Composer is an end-to-end application modeling environment designed to help you easily build the unique applications of today’s connected world. ThingWorx Composer makes it easy to model the things, business logic, visualization, data storage, collaboration, and security required for a connected application.
- Codeless Mashup Builder
ThingWorx “drag and drop” Mashup Builder empowers developers and business users to rapidly create rich, interactive applications, real-time dashboards, collaborative workspaces, and mobile interfaces without the need for coding. This next-generation application builder reduces development time and produces high quality, scalable, smart connected applications which allows companies to accelerate the pace at which they can deliver value-add solutions, resulting in greater market share against new and existing competitors.
- Actionable, Correlated Data from People, Systems and Things
ThingWorx is the only platform that can store and correlate data from three dimensions: people, systems, and connected things. This capability allows companies to make business sense of the massive amounts of data from those three dimensions – making the data useful and actionable. The platform supports scale requirements for millions of devices, and provides connectivity, storage, analysis, execution, and collaboration capabilities required for applications in today’s connected world. It also features a data collection engine that provides unified, semantic storage for time-series, structured, and social data at rates 10X faster than traditional relational databases.
- Search-Based Intelligence
ThingWorx SQUEAL (Search, Query, and Analysis) brings search to the world of smart connected devices and distributed data. With ThingWorx SQUEAL’s interactive search capabilities, users can now correlate data that delivers answers to key business questions. Pertinent and related collaboration data, line-of-business system records, and equipment data get returned in a single search, speeding problem resolution and enabling innovation.
- Collaboration
ThingWorx dynamically and virtually brings together people, systems, and connected equipment, and utilizes live collaboration sessions that help individuals or teams solve problems faster. The ThingWorx data store becomes the basis of context aware collaboration and interaction among the systems users, further enhancing its value. Additionally, the tribal knowledge exposed during the process is automatically captured and indexed for use in future troubleshooting activities.
- Flexible Connectivity Options
ThingWorx “inclusive” connectivity strategy maximizes market opportunity and minimizes integration efforts. ThingWorx supports connectivity to devices via several methods, including 3rd party device clouds, direct network connections, Open APIs, and AlwaysOn connectivity.
KEPServerEX Overview
KEPServerEX is a communications platform that provides a single source of industrial automation data to all of applications. The platform design allows users to connect, manage, monitor, and control diverse automation devices and software applications through one intuitive user interface.
KEPServerEX leverages OPC (the automation industry’s standard for interoperability) and IT-centric communication protocols (such as SNMP, ODBC, and web services) to provide users with a single source for industrial data. Designed around the four product pillars of Proven Interoperability, Centralized Communications, On-Demand Scalability, and Industrial Strength, KEPServerEX is developed and tested to meet our customers’ performance, reliability, and ease-of-use requirements.
Product Features
KEPServerEX provides critical technical features that are centralized around accessibility, aggregation, optimization, connectivity, security, and diagnostics.
Accessibility
OPC
OPC is the leading standard for industrial automation connectivity. KEPServerEX supports the OPC Unified Architecture (OPC UA) specification and many of the OPC Classic specifications, including OPC Data Access (OPC DA), OPC Alarms and Events (OPC AE), and OPC Historical Data Access (OPC HDA).
Automation Interfaces
KEPServerEX has preferred access to leading automation software, including iFIX by GE Intelligent Platforms (NIO) and InTouch by Wonderware (SuiteLink/FastDDE). KEPServerEX also supports preferred access to Oracle MES and MOC solutions through their proprietary API.
IT Interfaces
KEPServerEX supports multiple interfaces for integration with IT applications, including ODBC for logging information to a database and SNMP for providing information to a Network Management System (NMS). With the advent of IoT and Big Data applications, KEPServerEX now includes the ability to communicate with Splunk software and cloud services via the Industrial Data Forwarder for Splunk.
Cloud Interfaces
With the IoT Gateway, KEPServerEX can seamlessly stream real-time industrial control data directly into Big Data and analytic software for Business Intelligence and Operational Excellence. Its customizable data format supports most MQTT and REST applications—enabling users to choose the vendors and communication methodologies right for their system.
Exporters
Some applications require information to be made available from a file or database. This information is typically exported at a predefined rate and includes both current and historical data. KEPServerEX has the ability to export historical Electronic Flow Measurement (EFM) data (via the EFM Exporter plug-in) or historical trend data (via supported drivers) to files and/or databases.
Aggregation
Centralized Platform
KEPServerEX is a communications platform that can support connections to thousands of data sources and provide information to hundreds of applications. The platform design simplifies the configuration of the connected applications by providing a single point of entry to all information. KEPServerEX also enables troubleshooting and issue diagnosis, provides control to the access of information based on user roles, and the ability to restrict the frequency of communications over bandwidth-limited telemetry-based environments.
Unified Configuration
KEPServerEX provides a unified configuration for managing connectivity to any data source. Anything can be added, configured, or deleted while the server is on-line and operational. Users can configure projects manually using a step-by-step wizard or programmatically through the export and import of XML and CSV files.
Data Storage and Retention
KEPServerEX is capable of archiving the real-time data it collects to local storage. By leveraging the Local Historian plug-in, applications can access this historical data (via OPC HDA) for future analysis. KEPServerEX can also store information in any ODBC-compliant database using the DataLogger plug-in, which has a store-and-forward capability for when a database is unreachable or unable to process the information fast enough.
Optimization
Data Conditioning and Reduction
In addition to providing raw values to connected applications, KEPServerEX can perform linear or square root scaling, perform basic arithmetic expressions, or apply deadband calculations on raw data and provide its aggregate. This provides minimal bandwidth and resource utilization by providing only the most critical updates.
Redundancy
KEPServerEX is used in critical applications where highly-reliable systems are required for maximum uptime. It includes the ability to define redundant network paths, primary and secondary data sources, and applicable failover criteria.
Load Balancing
In large networks that have many devices and applications requiring information, flexible control is necessary to allow for customized load-balancing of data collection and information flow. KEPServerEX provides tools to schedule the frequency of communications and throttle the demand across the network.
Communications
KEPServerEX optimizes communications with devices by aggregating identical requests from different applications whenever possible. Multiple demands on data can be batched together into the fewest requests possible. These optimizations are unique to each protocol, and are designed to reduce network overhead and device processing.
Machine-to-Machine Linking
In a typical industrial automation network, devices and controllers must communicate with one another even if they are not from the same manufacturer or do not support the same protocol. KEPServerEX provides the ability to establish links between data values in different data sources, allowing Machine-to- Machine (M2M) communications as close to the device as possible.
Connectivity
Driver-Based Access
KEPServerEX offers the broadest range of drivers available, supporting devices across various verticals within the Industrial Automation Industry. While most drivers act as masters that initiate requests, there are many drivers that can emulate a device where communications are driven by a controller. KEPServerEX drivers also support a variety of wired and wireless network mediums for Ethernet, serial, and proprietary networks. Although most drivers connect directly with hardware devices, some are designed to connect with other applications—such as databases, custom software applications, or other OPC servers.
Telemetry Environments
Industrial automation equipment can be deployed in a dry and heated factory, but it can also be installed inside a vehicle, on a remote pipeline, or in a well or pump station. In these remote environments, there are often a variety of telemetry solutions in use like cellular, radio, or satellite modems. KEPServerEX supports these telemetry configurations and provides additional ways to optimize communications through virtual networks, timing parameters, device demotion, and by scheduling communications across devices.
Rapid Deployment
As automation networks have grown from ten controllers to thousands of controllers, tools that aid and accelerate deployment are critical to a solution’s success. KEPServerEX provides many tools that speed the deployment of new devices, including Automatic Tag Generation (ATG) and Device Discovery (when supported by the device and communication protocols). Users can also export, manipulate, and import an XML project file to programmatically define the configuration.
Simulation
As systems are configured, components must be implemented and tested before the entire system becomes available. KEPServerEX allows any data source to be placed into simulation mode prior to deployment. In addition, the Memory Based driver can be configured to create a range of static and dynamic data points. The Advanced Simulator driver can leverage a database and its contents to drive application-specific simulation data into connected applications.
Security
Configuration
Access to the KEPServerEX configuration can be restricted through the User Manager. This tool allows the administrator to define user groups and users with restricted access to certain project configuration tasks, and also provides the ability to disconnect client applications.
Runtime
There are various tools available within KEPServerEX to control user access to the server, data source, or data values. The Security Policies plug-in limits access based on OPC UA user credentials while supporting default handling for anonymous users (both OPC UA and other client interfaces). The ability to dynamically address information can be disabled, limiting user access to tags defined within the project. KEPServerEX supports a number of secure client standards including SNMP (v3 security), OPC UA, and OPC DA (DCOM security) to further restrict access to the server, as well as a number of secure device protocols to meet the requirements of DNP3, SNMP, and OPC UA data sources. Secure data tunnels can be configured by leveraging multiple KEPServerEX instances at remote endpoints to pass data through firewalls and meet authentication and encryption requirements across the Internet.
Diagnostics
OPC Diagnostics
OPC Diagnostics provide a real-time and historical view of OPC events between any OPC client and the server, including method calls made by the client or callbacks made by the server. The ability to view actual communications and responses is invaluable when troubleshooting client accessibility. The diagnostics tools within KEPServerEX greatly speed deployment and reduce downtime.
Communications Diagnostics
Communication Diagnostics provide real-time capturing of the protocol frames transferred between the server and any device, as well as indications on the driver’s performance. All read and write operations can be viewed or tracked directly in an OPC client application using built-in diagnostics tags. This is useful when modifying key communication parameter settings (such as baud rate, parity, or Device IDs), because corrections are immediately visible.
Third-Party Diagnostics Integration
Diagnostics information can be viewed within KEPServerEX and by third-party applications. Diagnostics information is provided through system-defined tags and accessible to the same clients connecting to the data sources. KEPServerEX logs event information, which is accessible within the configuration tool or to any application that supports the OPC Alarms and Events specification.
