Assembly Line

The State of Industrial Security in 2022


Topics: Cybersecurity, IIoT

Organizations: Barracuda Networks

This report shows nearly all — 94% — of organizations have experienced at least one security incident, which likely impacted their industrial IoT infrastructure. These incidents had significant impact on organizations, with 87% of them reporting their operations were impacted for one day or more. The incidents involved a wide range of attacks, with web application, malicious external hardware/removable media, and distributed denial of service attacks being the most frequent.

Read more at Barracuda Networks Report

The Importance of M2M for Manufacturing


Author: Bill Bither

Topics: IIoT

Organizations: MachineMetrics

One way manufacturing manages the incredible amount of data to leverage the power of IoT analytics is through Machine-to-Machine (M2M) technology. M2M offers a way to increase the power and utility of a cloud-based analytics platform while addressing many challenges brought about by the amount of data produced.

Read more at Machine Metrics Blog

Sensor Noise and Straightforward Software Techniques To Reduce It


Author: Taylor Morgan

Topics: IIoT

Organizations: Losant

Sensor telemetry is at the heart of IoT. But while it can lead to amazing insights, it can also be noisy and inconsistent. There are two main sources of the problem. First, all sensors have hardware limitations and only measure to a certain degree of accuracy, with sequential readings having some amount of variance. (We call this variation in sensor readings, “sensor noise”.) Second, even if a sensor could measure with perfect accuracy and precision, the world itself that the sensor is measuring still presents variation; for instance, an IR distance sensor is affected by sunlight.

We can accept noise and inconsistency as a reality of IoT, but we can also take reasonable steps to reduce them. For instance, is there more accurate hardware available? Are there adjustable gain, sensitivity, positioning, or other calibrations to make on our sensors? Can we reduce environmental factors? Should we average out multiple readings over time? In many cases, these basic steps are enough to allow the data of interest to stand out.

Read more at Losant Blog

Heineken’s Event-Driven Connectivity Strategy


Author: David Greenfield

Topics: IIoT, MQTT

Vertical: Beverage

Organizations: Heineken

To understand the scope of this connectivity project, it’s important to realize that Heineken runs more than 3,500 applications globally, connecting them with more than 5,000 interfaces. ERP systems in use across the company include SAP, Oracle’s JD Edwards, and Microsoft Dynamics, as well as the Hybris and Virto e-commerce platforms, Salesforce customer relationship management, and various manufacturing execution and invoicing systems.

Groeneweg adds that, with its new event-driven system in place, Heineken can now deploy scalable “plug-and-play” technologies quickly to take advantage of timely business insights at scale. To explain this, Groeneweg offers an example involving the introduction of a new global invoice management application. Before the implementation of Heineken’s event-driven system, multiple point-to-point integrations would need to be built to embed the new application into the company’s IT landscape. “We would have to connect it to at least 20 applications to get master data, ERP data, customer data, etc.,” says Groeneweg. “With the event-driven approach, we just point the chatbot to the right topics and queues where the data is already available from all the source systems it needs to access. No integration work is required at all.”

Read more at Automation World

How KAMAX connected their industrial machines to AWS in hours instead of weeks


Authors: Praveen Rao, Adrian Weiss, Nicolas Byl, Jill Mannaioni, Philip Weber

Topics: IIoT

Organizations: AWS, KAMAX, nexineer, CloudRail

Every manufacturing customer these days is talking about Industry 4.0, digital transformation, or AI/ML, but these can be daunting topics for manufacturers. Historically, connecting industrial assets to the cloud has been a large and complicated undertaking. Older assets increase the complexity, leaving many manufacturers with legacy equipment stalled at the starting gate. KAMAX, a player for cold forming parts in the sector of steel processing, shows that it is not only possible to transform, but can be easy when working with the right partners. KAMAX wanted a fully managed shop floor solution to acquire data from industrial equipment, process the data and make it available fast, to improve their operational efficiency. KAMAX employed their subsidiary and digital incubator, nexineer digital, Amazon Web Services (AWS) and CloudRail to help. This Industrial IoT collaboration increased manufacturing efficiency and effectiveness within their plants by automating and optimizing traditionally manual tasks, increasing production capacity, and optimizing tool changeover times (planned downtimes) of machines. This solution helped KAMAX realize quantifiable time savings of 2.5% – 3.5%.

Read more at The Internet of Things on AWS

SDRs for IIoT, RF data, and manufacturing control


Authors: Brendon McHugh, Simon Nditru

Topics: IIoT

Organizations: Per Vices

The flexibility of SDR platforms allows each individual wireless link to be customized according to its operating conditions. It also allows a broad variety of digital signal processing techniques such as frequency hopping and modulation techniques to be implemented with ease. In addition, use of software-based components in SDRs helps to shorten the cycle of developing and evaluating new radio protocols used in Industry 4.0.

Read more at Electronic Products

Introducing Snap Signal : Hardware and Software for your IIoT Evolution

What’s Cognitive Manufacturing? Why Should It Matter To You?


Author: Avnish Kumar

Topics: IIoT, AI

Organizations: LivNSense

The whole complex ecosystem of industries requires integration of various data systems. It is not just the sensor data system that needs retrofication. As many systems are analogue, there exist multiple interfaces because of various proprietary and automation systems such as DCS, SCADA, Historian, and PLC systems. With multiple protocols a simplification of this ecosystem can be done by customisation, bringing data from all the heterogeneous processes to a big data platform, understanding the business processes and gaps, and applying the predictive and prescriptive analytics.

Read more at Electronics B2B

Why we invested in ZEDEDA: visibility, control, and security for the distributed edge


Author: Caroline Rehfuss

Topics: IIoT

Organizations: ZEDEDA, Samsung

Traditionally, the deployment and remote management of Industrial Internet of Things (IIoT) at the edge has been difficult and expensive. One of the most significant hurdles faced by enterprise users today is the cost and lead time needed to update what are often proprietary legacy solutions. In the current environment, the majority of IIoT solution providers offer highly customized, siloed solutions for customers in specific verticals. As a result, these verticalized solutions tend to be fragmented and often are expensive to update and maintain.

We invested in ZEDEDA because the company has proven it can remain a horizontal play across multiple industrial verticals. ZEDEDA was founded in 2016 as a vertical solution provider. But in 2019, the company made the decision to open source its flagship product, EVE-OS.

Read more at Samsung Next Blog

Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices


Author: Lauren Hinkel

Topics: IIoT

Organizations: MIT

Researchers are working to reduce the size and complexity of the devices that these algorithms can run on, all the way down to a microcontroller unit (MCU) that’s found in billions of internet-of-things (IoT) devices. An MCU is memory-limited minicomputer housed in compact integrated circuit that lacks an operating system and runs simple commands. These relatively cheap edge devices require low power, computing, and bandwidth, and offer many opportunities to inject AI technology to expand their utility, increase privacy, and democratize their use — a field called TinyML.

Read more at MIT News

Koch Ag & Energy High Value Digitalization Deployments Leverages AWS


Author: Bill Lydon

Topics: IIoT, predictive maintenance, vibration analysis

Organizations: Koch Industries, AWS, Seeq

This application uses existing plant sensors, Monitron sensors, Amazon Lookout and SeeQ software to implement predictive maintenance on more complex equipment. The goal accomplished was successfully implementing predictive maintenance requires data from thousands of sensors to gain a clear understanding of unique operating conditions and applying machine learning models to achieve highly accurate predictions. In the past modeling equipment behavior and diagnosis issues requiring significant investment in time money inhabiting scaling this capability across all assets.

Read more at Automation

IBM’s vision of the connected factory


Topics: IIoT

Organizations: IBM

As far as our software is concerned, we are providing solutions for specific use cases that can deliver the quick wins that manufacturers are looking for. We have a solution called Maximo Application Suite which can monitor equipment effectiveness, asset health, asset performance, and visual inspection. And these kind of quick wins can already be delivered as part of a standard product. We are also working with customers in the field on things which are not necessarily already coded in the software. Something else which IBM brings to the table is that we are open source.

Read more at The Manufacturer

Apollo Tyres Moves to AWS to Build Smart, Connected Factories


Topics: IIoT

Vertical: Plastics and Rubber

Organizations: Apollo Tyres, AWS

Apollo Tyres needed to upgrade its infrastructure to develop new ways of engaging with fleet operators, tyre dealers, and consumers, while delivering tyres and services efficiently at competitive prices. The company’s first step was to create a data lake on AWS, which centrally stores Apollo Tyres’ structured and unstructured data at scale. This data lake provides the foundation for an integrated data platform, which enables Apollo Tyres’ engineers around the world to collaborate in developing cloud-native applications and improve enterprise-wide decision making. The integrated data platform enables Apollo Tyres to innovate new products and services, including energy-efficient tires and remote warranty fulfillment.

Read more at CXO Today

Using blockchain to share and monetize telecoms assets


Topics: blockchain, 5G, IIoT

Organizations: Weaver Labs

Weaver Labs will be the open telecommunications partner in the Track & Trust project, which aims to deliver a scalable, cost-efficient communications platform and network combining satellite, IoT mesh and blockchain components, serving mostly supply chain use cases. The end solution will be a modular product that will provide a plug and play communication network that allows for end-to-end tracking of the supply chain. This will start from the initial supply of goods/aid and extend all the way to the last-mile shipments, even when limited or no telecommunication infrastructure is available.

Read more at Embedded

The Long-range Disruption of Industrial IoT LoRaWAN Networks


Topics: IIoT, Cybersecurity

Organizations: Nozomi Networks

This blog post from the Nozomi Networks Labs team investigates attacks against a low-power radio frequency WAN technology that is widely used in industrial IoT networks. Our research focused on the viability of discovering the transmission frequency of the IoT network, and jamming the signal to disrupt network communication. Although there are some practical limitations to the attack scenario we investigated, we clearly determined that there are potential attack vectors that should be considered as technology matures.

Read more at Nozomi Networks Blog

Machine Monitoring Becomes Simpler And More Affordable Than Ever


Author: @mattnaitove

Topics: IIoT, machine health

Organizations: Guidewheel

What makes all this possible is a new application of a simple technology—the current transformer, essentially an amperage meter. As Dunford explains, maintenance engineers have used these small, inexpensive devices for decades to detect, for example, when a machine starts drawing excess power, possibly indicating a need for maintenance or even an impending malfunction.

Guidewheel uses the same information to detect when a machine is running or stopped, how long it has been running or not, and the number and period of cyclical operations. In the case of continuous operations such as extrusion, the level of current draw can be correlated with production rate.

Read more at Plastics Technology

Is Clip A ‘Slack’ For Factories?


Author: Marco Annunziata

Topics: digital transformation, IIoT, manufacturing analytics

Organizations: Clip Automation

Clip aims to bring data gathering and analytics, information sharing, and collaboration onto a single platform. The system connects all intelligent industrial equipment in a production facility, together with workers who can access all information and adjust operations through computers and portable devices.

It’s an ambitious undertaking, one that requires guaranteeing a very high degree of interoperability to ensure that people, machines and processes can communicate with each other seamlessly, and that all key systems such as Material Requirements Planning (MRP), Enterprise Resource Planning (ERP) and others can directly access up-to-date information from machines and processes. This higher level of automation, if implemented right, can unlock a new level of efficiency for manufacturing companies.

Read more at Forbes

Condition Monitoring via LoRaWAN


Author: Klaus-Dieter Walter

Topics: IIoT, condition monitoring

LoRaWAN can be a good choice when key factors become particularly important. These factors include wide areas of coverage on an operating site with different buildings, low cost of infrastructure and operation, use of an established standard, and a large number of users and providers. However, LoRaWAN is less suitable for transmitting large amounts of data due to the low bandwidth, the associated low data transmission rate, and the duty cycle regulations in the 868 MHz range. For this reason, additional sensors with embedded AI algorithms are required for sophisticated monitoring applications.

Read more at IoT for All

Best practices in IIoT-based predictive maintenance


Author: Glenn Shulz

Topics: Industrial Communication, IIoT, OPC Unified Architecture

Organizations: FDT Group, Yokogawa

A key component of the FDT 3.0 standard is the FDT Server built around a core server, which provides a center point for a wide range of client and server interactions. It includes an OPC UA server providing access to device type manager (DTM) data with authenticated OPC UA clients and a web server enabling the use of web user interfaces on remotely connected, browser-based clients and other mobile devices such as smart phones, tablets and PCs. The solution also supports the use of apps that improve workforce productivity and plant availability.

“The latest industry trends center around advanced data analytics, digital twins and cloud computing. The FDT 3.0 standard supports these solutions by delivering network and device information to enable improved diagnostics and predictive analytics. The technology provides a tool to not only monitor and predict asset health, but also remotely configure and manage assets for the highest level of reliability.”

Read more at Plant Engineering

Global Lighthouse Network: Unlocking Sustainability through Fourth Industrial Revolution Technologies


Topics: sustainability, IIoT

Organizations: World Economic Forum, McKinsey, Ericsson, Henkel, Schneider Electric, Flex, Johnson & Johnson, Protolabs, Foxconn, Innolux, Western Digital

The Global Lighthouse Network is a community of production sites and other facilities that are world leaders in the adoption and integration of the cutting-edge technologies of the Fourth Industrial Revolution (4IR). Lighthouses apply 4IR technologies such as artificial intelligence, 3D-printing and big data analytics to maximize efficiency and competitiveness at scale, transform business models and drive economic growth, while augmenting the workforce, protecting the environment and contributing to a learning journey for all-sized manufacturers across all geographies and industries.

Read more at World Economic Forum News Releases

Before the Flood: How Technology Is Helping Build Water Resilience Around the Globe


Author: Mark De Wolf

Topics: IIoT, sustainability

Organizations: Autodesk, Veolia

At Veolia Water Technologies—a division of global water, waste, and energy management giant Veolia—the company’s developers are working on new ways to prepare cities for the inevitable. They’re applying digital and IoT technologies and predictive analytics to build water-resilience management techniques such as flood modeling, sustainable drainage design, clean water distribution, and resource optimization.

Read more at Redshift by Autodesk

This is why railway communications needs great network design


Author: Juan Manuel Melero

Topics: 5G, IIoT

Vertical: Railroad

Organizations: Ericsson

A solid network design is the foundation to deliver on stringent performance requirements associated with mission-critical railway communications and to deliver on consumer expectations, which remain unchanged regardless of being at home or sitting on a train moving at 500km/h.

Network design has the potential to identify the optimal site locations to deliver the target performance at the best TCO, but its complexity cannot be overlooked. While cell planning tools exist, operating them for the right outcome is not trivial and requires highly skilled experts connected to a global knowledge base to keep up to date with the latest industry developments and realize the potential of 5G-based FRMCS.

Read more at Ericsson Blog

Secure device onboarding for manufacturing supply chain


Author: Chris Varva

Topics: IIoT

Organizations: Intel, Fortinet, FIDO Alliance

FDO 1.0 can offer many benefits for manufacturers that have industrial and enterprise devices. It’s also useful with multi-ecosystem applications and services and helps streamline distributor sales. Other benefits for manufacturers include:

  • Zero-touch onboarding: It can integrate with existing zero-touch solutions.
  • Speed and security: It is designed to onboard with IoT devices in less than a minute, which is up to 20 times faster than it would have been for a manual installer.
  • Hardware flexibility: It is designed to be hardware-agnostic and work with any microcontroller or computer processor.
  • Cloud flexibility: As with hardware, it is flexible and can work with the internet and on-premise.
  • Late binding: This reduces costs and complexity in the supply chain by providing a single SKU for all customers.

Late binding, in particular, is a key aspect of the process, Kerslake said. “Late binding reduces costs and complexity in supply chain, providing a single device SKU for all customers instead of making unique SKUs and creating a mess of things.”

Read more at Plant Engineering

Energy Harvesting Startups Could Power Some IoT Dreams


Author: Dan Jones

Topics: IIoT, energy harvesting

Organizations: Everactive, e-peas, Nowi

Removing batteries from the industrial equation cuts costs and reduces the hours that people spend replacing them. Using batteryless equipment in industrial and consumer settings could also greatly reduce the number of batteries that are thrown into landfills around the globe. It is estimated that 3 billion batteries a year are discarded in the U.S. alone!

For instance, Everactive argues that if you were to deploy 10,000 battery-powered industrial IoT sensors across your facility to transmit real-time data about the health of your machinery, over time your team would be replacing around 2,000 batteries a year. Many of these sensors would be located in difficult-to-reach areas, further increasing the time and expense needed to replace the chemical cells.

Read more at EE Times

Aerospace, Defense and Industry 4.0


Author: Jim Camillo

Topics: IIoT

Vertical: Aerospace, Defense

Organizations: BAE Systems, NASA, Lockheed Martin, Northrop Grumman, Boeing, Airbus, Fraunhofer IIF

“Designing for manufacturability, modeling the production environment, and then producing our products with a minimum of duplicated effort—this can give us the breakthroughs in speed and affordability that the A&D environment needs in a time of limited budgets and rapidly changing threats,” explains Daughters. “These technologies are an essential component to our ‘digital thread’ across the product life cycle. They give us the ability to simulate tradeoffs between capability, manufacturability, complexity, materials and cost before transitioning to the physical world.”

“In a nutshell, I4.0 involves leveraging technology to better serve the world,” says Matt Medley, industry director for A&D manufacturing at IFS, a multinational enterprise software company. “More than just collecting and processing mounds of data via sensors and the Industrial Internet of Things (IIoT), I4.0 is turning data into actionable intelligence to not only drive efficiency and grow profits, but to also help companies be good stewards of our natural resources and local communities. Aerospace and defense companies whose enterprise software can keep pace with developments like additive manufacturing, AI, digital twins, and virtual and augmented reality (V/AR) are the ones that will thrive in an increasingly digital 4.0 era.”

Read more at Assembly

Inside Schneider Electric’s Smart Factory


Author: Austin Weber

Topics: IIoT, digital manufacturing

Vertical: Electrical Equipment

Organizations: Schneider Electric, AVEVA

According to Clayton, the goal of Schneider Electric’s IIoT initiative in Lexington is to boost efficiency and overall market competitiveness by introducing technologies that modernize and reinvent the control, monitoring and management processes of the plant.

It’s part of Schneider Electric’s global effort to digitally transform its factories and distribution centers. The 183-year-old company’s supply chain encompasses nearly 300 factories and logistics centers in more than 40 countries. Most of those facilities use the same IIoT technology that the company offers to its customers.

“These facilities are core to [our] Tailored Sustainable Connected Supply Chain 4.0 program, which creates a customized, sustainable and end-to-end connected supply chain across the plan, procurement, make, customer and sustain domains,” explains Clayton.

Read more at Assembly

Manure Spreading goes High-Tech with IIoT


Topics: IIoT

Vertical: Agriculture

Organizations: CODESYS, TRS Systems, McKee Ag

Manure spreaders have a tandem hydraulic pump. One pump drives the beater system at the backend that spreads, or applies, the product onto the field. A hydraulically driven end gate, or tailgate, opens up to allow the product out the backend, and the system also has a hydraulically driven variable speed floor.

An essential function of the control system is to monitor the torque load on the beater. With the beater requiring the highest horsepower load, it is crucial to use a pressure control, essentially a torque control, to keep the entire operation under maximum load the drive line can handle. For example, if the operator is driving the floor too fast, which increases the pressure, the control system will stop the floor or slow it down accordingly based on the load that you would see on that beater.

Read more at CODESYS Blog

PLCs improve predictive maintenance


Author: Damon Purvis

Topics: Programmable Logic Controller, IIoT, predictive maintenance

Organizations: Microsoft, AutomationDirect

There is no doubt PLC technology is already strongly established on the plant floor. However, by embedding IT protocols, Cloud connectivity, and security features into today’s PLCs, it is possible to gather data that may have existed idly and use it to provide a much stronger idea as to what condition devices and machines are in to prevent unplanned downtime.

Read more at Plant Engineering

Integrating Falkonry with Azure IoT


Author: Phagun Baya

Topics: MQTT, IIoT

Organizations: Falkonry, Microsoft

Falkonry Clue applies advanced analytics to multivariate time-series data to discover meaningful patterns. This valuable operational data is supplied to Clue’s powerful AI engine by leveraging Microsoft Azure’s IoT infrastructure. Clue is designed to fit seamlessly into Azure’s reference architecture thereby easing the integration process.

Connecting the plant to the cloud, the Azure IoT Hub acts as a bi-directional communications brain for all connected IoT devices – managing data transfers, updates, setting up credentials for every device, and defining access control policies. These connected devices include OPC UA enabled sources such as most SCADA systems that support the MQTT protocol for data transfer.

Read more at Falkonry Blog

Optimizing manufacturing processing and quality management with digital twins, IIoT


Topics: digital twin, IIoT

Vertical: Primary Metal

Organizations: Industrial Internet Consortium

The application of IIoT and digital twin technologies in production process and quality management in steel production processes with the following characteristics:

  • Integrate process design data, quality specification data, equipment operational real time data, quality measurement data into a holistic end-to-end closed-loop system, enabling comprehensive online monitoring and analytics of production process and supporting product quality traceability.
  • Combine digital twin and Industrial Internet technology seamlessly into a holistic platform to support such an application.
  • Enable digital twin for both equipment and product alike, dynamically bind product digital twins with equipment digital twins to enabling product process and quality online tracking, monitoring and traceability.
  • Combine online data and analytic technologies with Lean management and Six Sigma concepts and best practice for production process and quality management, creating a digital Lean capability.

Read more at Plant Engineering

Davey Textiles Shows Digital Transformation Can Be Affordable and Effective


Author: Michael Guilfoyle

Topics: digital transformation, IIoT

Vertical: Textiles

Organizations: Davey Textile, Uptake

If something interrupted operations, the Uptake Fusion’s Downtime Tracker sent an alert to the operator. Due to the noise levels on the floor, the solution sent the alert via Twitter, ensuring operators could be notified directly through their hearing protection devices.

The company could also now visualize production data to examine trends and anomalies for products, days, shifts, equipment, room locations, and other key variables. They now had new insight into causes of lost production, enabling them to eliminate issues that undermined operational optimization. Uptake Fusion also managed all of this using a single-pane view, minimizing user complexity.

Read more at Arc Advisory Group

How Companies Oversee IoT Device Management


Author: Tammy Xu

Topics: IIoT

Organizations: MxD, FourKites, Industrial Internet Consortium, SOTI

Companies have been using Internet of Things (IoT) devices for a long time, from agricultural companies monitoring weather and crop conditions to industrial companies tracking the output and safety within manufacturing facilities.

IoT can accelerate processes by giving companies real-time data and visibility, but having a lot of devices can be a maintenance and security headache. In those cases, it’s even more important to have the right procedures in place for IoT management.

Read more at Built In

Getting Industrial About The Hybrid Computing And AI Revolution


Author: Jeffrey Burt

Topics: IIoT, machine learning, reinforcement learning

Vertical: Petroleum and Coal

Organizations: Beyond Limits

Beyond Limits is applying such techniques as deep reinforcement learning (DRL), using a framework to train a reinforcement learning agent to make optimal sequential recommendations for placing wells. It also uses reservoir simulations and novel deep convolutional neural networks to work. The agent takes in the data and learns from the various iterations of the simulator, allowing it to reduce the number of possible combinations of moves after each decision is made. By remembering what it learned from the previous iterations, the system can more quickly whittle the choices down to the one best answer.

Read more at The Next Platform

Seeq Accelerates Chemical Industry Success with AWS


Topics: IIoT

Vertical: Chemical

Organizations: Seeq, AWS, Covestro, allnex

Seeq Corporation, a leader in manufacturing and Industrial Internet of Things (IIoT) advanced analytics software, today announced agreements with two of the world’s premier chemical companies: Covestro and allnex. These companies have selected Seeq on Amazon Web Services (AWS) as their corporate solution, empowering their employees to improve production and business outcomes.

Read more at Automation

The Machine Economy is Here: Powering a Connected World


Author: Megan Doyle

Topics: IIoT, machine learning, blockchain

Organizations: Flexon Technology, Allied Vision

In combination with the real-time data produced by IoT, blockchain, and ML applications are disrupting B2B companies across various industries from healthcare to manufacturing. Together, these three fundamental technologies create an intelligent system where connected devices can “talk” to one another. However, machines are still unable to conduct transactions with each other.

This is where distributed ledger technology (DLT) and blockchain come into play. Cryptocurrencies and smart contracts (self-executing contracts between buyers and sellers on a decentralized network) make it possible for autonomous machines to transact with one another on a blockchain.

Devices participating in M2M transactions can be programmed to make purchases based on individual or business needs. Human error was a cause for concern in the past; machine learning algorithms provide reliable and trusted data that continue to learn and improve — becoming smarter each day.

Read more at IoT For All

The Autonomous Factory: Innovation through Personalized Production at Scale


Author: Dr Ralph-Christian Ohr

Topics: IIoT, digital twin, autonomous production

Organizations: Siemens

Personalized products are in high demand these days. Meeting this demand is leading companies to increasingly automate their production processes and even make parts of it autonomous. However, this approach presents a trade-off: with increasing personalization comes increasing complexity. Therefore, companies need to decide on the expedient extents and levels of automation to be implemented in their factories. Two strategies that may help along the way: 1. Limited implementation in selected areas. 2. Co-creation with trusted partners.

Read more at Siemens Ingenuity

IIoT builds new bridges to new adventures


Author: Jim Montague

Topics: IIoT

Vertical: Petroleum and Coal

Organizations: Engenuity, Shell, Opto 22

Engenuity Inc. in Conroe, Tex., provides control automation and data integration for oil and gas and other industries, and recently found deficiencies in validation pressure testing of blowout preventers (BOP) and well-control devices. Because pressure tests are needed every few weeks for regulatory compliance, executed and recorded manually over several hours, and can cost up to $6 per second to run in offshore valve arrays, testing can cost millions of dollars per year. To reduce these expenses, Engenuity collaborated with clients like Shell International Exploration and Production Co., and developed automated, hydrostatic, test execution and reporting solutions, which use Opto 22’s groov Edge Programmable Industrial Controller (EPIC) for process control, automatic notification, and process history storage and replication.

Read more at Control Global

Evolution of Machine Autonomy in Factory Transactions


Author: Stephanie Neil

Topics: IIoT, blockchain

Organizations: Industrial Internet Consortium, IOTA Foundation, Siemens, IBM

So while we’ve not completely entered the age of the machine economy, defined as a network of smart, connected, and self-sufficient machines that are economically independent and can autonomously execute transactions within a market with little to no human intervention, we are getting close.

The building blocks to create the factory of the future are here, including the Internet of Things (IoT), artificial intelligence (AI), and blockchain. This trifecta of technology has the potential to disrupt the industrial space, but it needs to be connected with a few more things, such as digital twin technology, mobile robots, a standardized way for machines to communicate, and smart services, like sharing machine capacity in a distributed ecosystem.

“The biggest obstacle is culture,” said IIC’s Mellor. “The average age of the industrial plant is 19 years. These are huge investments that last for decades. The organizations that run these facilities are very cautious. Even a 0.5% chance of failure can cost millions of dollars.”

Read more at AutomationWorld

Detect: Monitoring, Identifying, and Responding to Industrial Cyber Threats


Topics: IIoT

Organizations: Claroty

A harsh reality of cybersecurity is that even the most state-of-the art protective controls cannot fully eliminate risk. As such, the ability to detect, investigate, and respond to potential threats quickly and effectively when they do surface is imperative.

The purpose of detecting threats is to mitigate those which pose risk to your organization. But to determine which threats to focus on, your team needs the ability to make sense of what’s being detected within your organization’s industrial environment. This is another area where the sheer size and complexity of enterprise industrial networks comes into play; without the right capabilities in place, security personnel can be flooded with an overwhelming barrage of alerts that do little to inform risk-mitigation decisions.

Read more at Claroty Blog

Cloud-based app for micro-breweries


Topics: IIoT

Vertical: Beverage

Organizations: Deacan, Siemens, KAIJU Beer

When the yeast consumes the sugar to produce alcohol: That’s when the flavour is developed. It’s when beer becomes beer. Australian craft brewers are passionate about brewing, not industrial operational technology, yet Leonie Wong and Rex Chen from the MindSphere team still managed to make the data work for them; they want to always land the perfect brew and waste not a single drop.

In this market, Deacam, an Australian original equipment manufacturer (OEM), which provides automated brewing equipment and solutions to microbreweries, was looking to differentiate itself. Leonie Wong, responsible for Vertical Sales for Food & Beverage for Siemens Australia, and Solution Architect Rex Chen met with Deacam and their customers, the microbreweries themselves.

Read more at Siemens Blog

How Edge Analytics Can Help Manufacturers Overcome Obstacles Associated with More Equipment Data


Author: Martin Thunman

Topics: edge computing, IIoT

Organizations: Crosser

Big data is transforming a variety of sectors, ushering them into the era of Industry 4.0. However, having access to raw data and knowing what to do with it are at completely different ends of the digitalization spectrum. To help manufacturers understand, and overcome, some of the challenges associated with smart manufacturing, Martin Thunman, CEO and co-founder of leading low-code platform for streaming analytics, automation and integration for industrial IoT, Crosser shares his insight.

Read more at Automation

OPC-UA: the Universal Language of Industry 4.0


Author: A Cartwright

Topics: OPC Unified Architecture, IIoT

Organizations: OPC Foundation, Ai Build

Forgive the obscene title of this article, for implying OPC-UA is nothing but a simple communication protocol is a great injustice. Indeed, OPC-UA encompasses this, but also so much more. It is a living, breathing, specification: one that outlines an information-centric architecture that is interwoven with security systems-systems which permeate a definitive rule-set for device modelling and communication.

At its essence, OPC-UA is a platform-independent, machine-to-machine communications architecture that focuses on providing an object-oriented approach to modelling data.

Read more at Ai Build TechBlog

Application Layer Protocol Options for M2M and IoT Functionality


Author: Jody Muelaner

Topics: IIoT, MQTT

Organizations: Digi-Key Electronics, ISO

With adoption of Internet of Things (IoT) and Industry 4.0 functions, devices are increasingly connected via industrial protocols. What’s more, today’s machine to machine (M2M) communications are rapidly standardizing on these protocols. Complicating matters is that IoT protocols don’t describe a single application-layer protocol, as several standards are in operation. So while early IoT implementations used standard internet protocols, there are also dedicated IoT protocols now available.

Modeling communication structures and identifying the right protocol for a particular application can be daunting. This article outlines what various protocols do as well as the options available for these protocols — so design engineers can more easily select the most suitable to integrate.

Read more at Digi-Key Article Library

Gaining an Edge on Line Control


Author: Vibhoosh Gupta

Topics: IIoT, Programmable Logic Controller, edge computing

Organizations: Emerson

Edge control provides access to real time OEE and information visualization that changes the value calculation. With edge control, end-users can easily tie together existing equipment, other legacy controllers and new external sensing. The combined raw data can be analyzed at the edge to generate information needed by operators to take fast informed action, and it is the foundation for more advanced production line integration, with the ultimate goal of insight-driven and adaptive operation.

Read more at Machine Design

Intel Accelerates AI for Industrial Applications


Author: Brian McCarson

Topics: AI, IIoT, PyTorch, OpenVINO, edge computing

Organizations: Intel

The human eye can correct for different lighting conditions easily. However, images collected by camera can naturally vary in intensity and contrast if background lighting varies as well. We’ve seen scale challenges observed by factories trying to deploy AI for defect detection based on the exact same hardware, software and algorithm deployed on different machines on the factory floor. Sometimes it took months for factory managers and data scientists to find out why they were getting great results on one machine with high accuracy, low false positive and false negative rates, while on the next machine over the AI application would crash.

Read more at Intel

Total Cost of Ownership Guide: No-Code App Platforms vs Traditional MES


Author: Jen Dyment

Topics: cloud computing, IIoT

Organizations: Tulip

You’ve found a no-code, IIoT native application platform that can replace your MES partially or fully. You are excited about augmenting human workflows, flexible deployments, and continuous improvements — but you have to do your due diligence and prove ROI.

We get it! No-Code App Platforms are new to the Industrial and Manufacturing technology landscape. Even though they were developed for a different era, Manufacturing Execution Systems (MES) are a tried and tested means of coordinating, executing, and tracking manufacturing processes.

Read more at Tulip

Integrated intelligent technologies optimize yield and increase profits for rice millers


Author: Rajat Ramesh

Topics: IIoT

Vertical: Food, Machinery

Organizations: Buhler, Riseria Taverne

The digitally connected technology provides mill operators with the insights they need to correctly adjust solution settings. Over time, the intelligent system is capable of adjusting autonomously. Where millers were once left to take corrective action after an incident occurred, they can now prevent costly reprocessing steps and proactively manage the entire process. With these advances, the miller can optimize operating costs, quality and yield, all of which have a direct impact on the profit of the mill.

Read more at Control Design

Progress Continues on Industrial Open Source Software


Author: David Miller

Topics: IIoT

Organizations: Eclipse Foundation

The Eclipse Foundation, an independent, not-for-profit corporation created to foster a vendor-neutral approach to open source innovation in the Industrial Internet of Things (IIoT) space, has released its 2020 annual community report.

The Eclipse Foundation foresees the open source ecosystem continuing to expand as companies become more software-centric, noting that “digitalization is the single biggest industry trend in the world today.”

Read more at Automation World

Industrial DataOps: Unlocking Data and Analytics for Industry 4.0


Author: @billbither

Topics: cloud computing, edge computing, IIoT

Organizations: MachineMetrics

As an approach to data analytics, DataOps is all about reducing the time to high-accuracy analyses using automation, statistical process control, and agile methodologies so that manufacturers are able to use the data they collect quicker and with a higher degree of confidence.

The role of DataOps in Industry 4.0 is to take all of the info created and collected by machines, like IIoT devices, and effectively condense them into refined, usable business “fuel” to drive decision-making, rather than be left to sit in a data warehouse, unexamined.

Read more at MachineMetrics

How Augmented Reality Became a Serious Tool for Manufacturing


Author: James R. Koelsch

Topics: augmented reality, IIoT

Organizations: Autodesk, AVEVA, Dassault Systemes, Emerson, Siemens

Making monsters appear in games like Pokémon Go is not the only application for augmented reality these days. Industry is using the technology too, harnessing CAD data for training workers, standardizing workflows, and enabling collaboration.

Read more at Automation World

A manufacturer's guide to scaling Industrial IoT


Authors: Andreas Behrendt, Enno de Boer, Tarek Kasah, Bodo Koerber, Niko Mohr, Gérard Richter

Topics: IIoT

Organizations: McKinsey

Despite tailwinds from declining compute power costs and improvements in IIoT integration, connectivity, and platform usability and management, few manufacturers have successfully scaled up their IIoT-enabled use cases in a way that achieves significant operational or financial benefits.

To understand the key enablers behind IIoT-based value capture at scale, we drew on our field work and extensive research of those companies successfully scaling IIoT to offer manufacturers ready-to-use guidance on strategically orienting their business, organization, and technology toward IIoT success.

Read more at McKinsey

IoT Supply Chain Vulnerability Poses Threat to IIoT Security


Author: Rich Castagna

Topics: IIoT

Organizations: Adolus, Finite State

Most companies that construct products with the aid of IIoT-based operations are likely to keep close tabs on the supply chain that provides a predictable stream of raw materials and services that allows them to crank out products and keep the business humming.

But a second, underlying supply chain receives less scrutiny. And if the security of that supply chain is somehow compromised, business could grind to a halt.

That overlooked supply chain delivers the components that build out an IIoT infrastructure. The purchaser of those devices is at the end of the supply chain that — from a security perspective — lacks sufficient transparency into the chain. In fact, it would be a challenge to track the origins of the internal elements that comprise the delivered IIoT devices.

Read more at IoT World Today

Building effective IoT applications with tinyML and automated machine learning


Authors: Rajen Bhatt, Tina Shyuan

Topics: IIoT, machine learning

Organizations: Qeexo

The convergence of IoT devices and ML algorithms enables a wide range of smart applications and enhanced user experiences, which are made possible by low-power, low-latency, and lightweight machine learning inference, i.e., tinyML.

Read more at Embedded

Facilitating IoT provisioning at scale


Author: Richard Elberger

Topics: cloud computing, edge computing, IIoT

Organizations: AWS

Whether you’re looking to design a new device or retrofitting an existing device for the IoT, you will need to consider IoT provisioning which brings IoT devices online to cloud services. IoT provisioning design requires decisions to be made that impact user experience and security for both network commissioning and credential provisioning mechanisms which configure digital identities, cloud end-points, and network credentials so that devices can securely connect to the cloud.

Read more at Embedded.com

Industrial automation unites the best of OT and IT


Author: Rich Carpenter

Topics: edge computing, IIoT

Organizations: Emerson

As operational and information technology roles progressively overlap in the industrial automation space, a hybrid operational technology/information technology (OT/IT) solution becomes increasingly necessary.

Read more at Plant Engineering

Precision of Digital Twin Data Models Hold Key to Success


Author: Jack Vaughan

Topics: digital twin, IIoT

Organizations: General Electric

As the industrial sector turns to digital twin technology for operational efficiency, digital twin data model accuracy is key to success of digital replicas.

Read more at IoT World Today