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How to Design and Deploy a Web-Based HMI Project - Part 4

How to Design and Deploy a Web-Based HMI Project - Part 4

Refining and integrating a front-end HMI application to an API middle layer with real-time data display and historian capabilities for short-term data visualization.


How to Design and Deploy a Web-Based HMI Project - Part 3

How to Design and Deploy a Web-Based HMI Project - Part 3

Learn the first steps in focusing on the integration of a front-end HMI application to an API middle layer.


How to Design and Deploy a Web-Based HMI Project - Part 2

How to Design and Deploy a Web-Based HMI Project - Part 2

The middle layer, or API layer of a custom-built HMI project involves a server that can submit or receive data to and from a device, either to provide the user interface or interact with the machine.


Ignition SCADA Software: What are Tags and How are They Used?

Ignition SCADA Software: What are Tags and How are They Used?

An introduction to the various tag types used within one of the leading supervisory control and data acquisition (SCADA) software powering IIoT, HMI, and I4.0 applications: Ignition by Inductive Automation.


Temperature Profiling: The Process and The Underlying Benefits

Temperature Profiling: The Process and The Underlying Benefits

Temperature profiling is an effective tool to monitor thermal properties in process equipment. This article defines temperature profiling, discusses the process components, and describes the various benefits it offers.


Methods and Algorithms in Error Checking for Serial Communications

Methods and Algorithms in Error Checking for Serial Communications

Errors in communications often manifest as a result of electrical noise interrupting the data during the transmission process, leading to various methods for determining whether received data has been damaged.


Hands-on Example: Milling Machine Failure Classification Using Logistic Regression

Hands-on Example: Milling Machine Failure Classification Using Logistic Regression

Learn how to build a machine learning model to predict failure classification based on machine parameters using a synthetic dataset modeled after a milling machine, the same process used in real-world systems.


Disaster Recovery Plan and Strategy in Case of IT/OT Equipment Failure

Disaster Recovery Plan and Strategy in Case of IT/OT Equipment Failure

Failures are never the goal of any industrial operation. But when disaster strikes, it’s always better to have a mitigation plan in place well in advance of the event to ensure timely recovery.


Leveraging IIoT and Energy Measurement Tools for Machine Optimization

Leveraging IIoT and Energy Measurement Tools for Machine Optimization

Analytics from data algorithms can predict machine failures and provide diagnostics—but what should we measure? Then, once the information has been collected, what trends might point to problems?


Addressing Common Industrial IoT Cybersecurity Risks For Control Systems

Addressing Common Industrial IoT Cybersecurity Risks For Control Systems

Addressing cybersecurity threats introduced by IIoT technology and devices can quickly seem overwhelming. However, an understanding of the risks can lead to some straightforward countermeasures.


How IIoT can Benefit Maintenance Practices and Increase Overall Equipment Effectiveness

How IIoT can Benefit Maintenance Practices and Increase Overall Equipment Effectiveness

As data becomes available, maintenance can shift from being done on a rigid schedule to a more cost-effective plan of fixing as required, even turning attention to the root cause of maintenance woes.


How To Know When Predictive Maintenance Isn’t An Ideal Solution

How To Know When Predictive Maintenance Isn’t An Ideal Solution

To know if predictive maintenance is the right strategy, it might help to first recognize if it isn’t. Here are some indicators that your organization should improve before implementing predictive maintenance.


Memory: A Challenge on the Road to Industry 4.0

Memory: A Challenge on the Road to Industry 4.0

Memory for data is among the most pressing challenges to Industry 4.0. Given the evolving nature of Industry 4.0 and associated memory solutions, however, some memory-based trends are becoming apparent.


Introduction to Servers for Industrial Applications

Introduction to Servers for Industrial Applications

Servers are vital to the flow of information in and around organizations, acting as a hub for information transfer and storage. Learn about the role of servers in industry and the potential challenges that come with maintaining them.


Life on the Farm: Cleaning Stalls, Milking Cows, and… Robots?

Life on the Farm: Cleaning Stalls, Milking Cows, and… Robots?

Learn how one small farm in a rural community is upgrading production with advanced technology in several ways to overcome staff shortages, product demand, and regulatory compliance.


Introduction to Raspberry Pi: History, Hardware, and Software

Introduction to Raspberry Pi: History, Hardware, and Software

Raspberry Pi is a low-cost, educational single-board computer platform with the potential for industrial applications. In this article, we discuss the purpose of Raspberry Pi as well as its hardware and software.


Examples of IIoT Applications

Examples of IIoT Applications

By shaping new concepts and business models, the IIoT is bringing more efficiency and capacity to automated systems. Take a look at some of the ways the IIoT is revolutionizing the manufacturing and automation sectors. 


IoT Software Distribution Models: Cloud Based and On Premises

IoT Software Distribution Models: Cloud Based and On Premises

Software distribution models have historically been on premises, however, as industry has become more digital, cloud-based solutions have become increasingly popular, including SaaS and its variants, IaaS and PaaS.  


Cloud Computing and the Industrial Internet of Things

Cloud Computing and the Industrial Internet of Things

Over the last decade, cloud service providers have improved technology, particularly data security and integrity. These remain the top concern of many manufacturing businesses, but as improvements are rolled out, more and more companies are adopting cloud solutions. 


Up Close and Personal With Automated Ag Equipment

Up Close and Personal With Automated Ag Equipment

Our Control Automation engineering staff got the chance to visit a commercial farm in North Dakota and learn the hardware and software making these huge automated tractors ready for high-tech ‘field’ work.