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We’re your source for automation news. Keep up with the latest industry updates and E Tech employee spotlights, as well as tips and guidance from our manufacturing experts.  

S88 Specs, Part 1 of 3: An Introduction to the S88 Standard

Where did the S88 Standard for Batch Control Systems Stem From?  In the world of industrial automation, the S88 standard, also known as ANSI/ISA-88 or Batch Control, plays a vital role in providing a universal framework for the control and automation of manufacturing processes. Developed by the International Society of Automation (ISA), the S88 standard offers a structured approach to designing, implementing, and maintaining batch processes. For those who are new to the S88 standard and want to delve into its applications across various industries, this three-part blog series will serve as a guide to understanding the fundamentals of the S88 standard, its benefits, and an overview of its working principles.  What is the S88 Standard for Batch Control Systems?  The S88 standard provides a comprehensive and modular methodology for designing, implementing, and managing batch processes in industries such as pharmaceuticals, chemicals, food and beverage, and many others. It establishes a consistent and structured approach to defining the equipment, control strategies, procedural operations, and information systems required for effective batch process automation.   Within the ISA-95 framework batch systems adhering to S88 standard are identified as Level 2 systems. They are subordinate to Level 3 MES systems and achieve process control through interaction automation and control systems (ISA-95 Level 1 and 2).    In practical terms, S88 system, a batch control application executes recipes. A recipe is a sequence of operations containing multiple recipe phases. Recipe phases interface with the physical plant equipment through equipment phases typically executed by PLCs.  Applications of the S88 Standard in Industrial Automation While the S88 standard was originally developed for batch processes, its applications are not limited to specific industries. The versatility of the standard enables its adoption in a wide range of fields. In general, automation system builders may benefit from using the S88 concepts even … Continued

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Four Big Benefits of a Front-End Engineering and Design (FEED) Study

When building a new facility-wide automation system or a control system upgrade, the planning stage is perhaps the most important part; it creates the foundation for the entire project. In-depth planning can set you up for success, whereas poor planning can make the design/build process fraught with issues. You wouldn’t build a house without blueprints, a survey, or licensed contractors, right?  If you start an industrial automation project (or any project) without initial evaluation and design, you could encounter a number of issues that have the potential to negatively impact the project. So, why would you begin engineering, procurement, and construction without a Front-End Engineering and Design (FEED) study?  Short answer: you wouldn’t… or at least, you shouldn’t.    What is a FEED Study in an Automation Engineering Project? A FEED study is designed to help produce all necessary technical documentation, validate hardware and software specifications, and accurately define the project scope. It should be performed before the design phase of the project. A FEED study typically includes: Why is a FEED Study Important in Project Planning? The FEED study is an important step in the project development process because it helps to ensure that the project (1) is feasible, (2) can be completed within budget and (3) can be delivered on schedule. These studies also help identify any potential risks to the project, which allows you to develop mitigation strategies ahead of time. There are a number of short and long-term benefits any project could see from a FEED study, most of which involve maintaining timelines and avoiding negative impacts on the projected budget. Here are the four biggest benefits:        1. Reduced Execution Costs Support Internal Funding  Because projects often hinge on a shoestring budget, every penny counts when requesting internal funding. Incorrectly calculating cost has the potential to negatively impact decision … Continued

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Proactively Protecting Against Cyber Threats

Secure Your Company with a Cybersecure Control System   Cybersecurity continues to gain more and more momentum in manufacturing, and for good reason. Some of these facilities can be responsible for millions, sometimes billions of dollars in business, quickly gaining attention and unfortunately becoming a target for a cyberattack if not properly secured.  At a time when manufacturing facilities tend to be one of the most impacted by the decline in available workforce, the need for more flexibility in production capabilities takes precedence over most other initiatives. The rush to connect available assets for consolidated control and monitoring, and integrating their data collection and analysis will sometimes push decision makers to leap before they look. Not always considering any of the following, or lack thereof, may become an active threat without proper planning:   Increasing IT/OT Convergence: Industry 4.0 & improving plant efficiency is a major driver for this convergence trend. Organizations see improved efficiency as a worthwhile end goal, but it does come with an expanding OT attack surface.   High-Profile Incidents: Noteworthy OT/ICS cyberattacks over the last several years have proved how easily these high-profile OT systems can be broken into causing real concern. Some examples are the Stuxnet worm, the Ukraine power grid attack, and the Colonial Pipeline ransomware attack. These examples show that OT/ICS incidents affect more than the targeted organizations.  Nation-State Threats: Nation-state actors have shown interest in targeting critical infrastructure and industrial sectors as part of cyber espionage or cyber warfare efforts.   Ransomware and Monetization: Ransomware attacks have evolved to target critical infrastructure and manufacturing facilities. These attacks have led to large downtime windows for the target organizations.   Regulatory and Compliance Frameworks: Governments and regulatory bodies are recognizing the need to establish cybersecurity standards for critical infrastructure sectors. Compliance requirements and guidelines are being developed to ensure the security of OT and ICS systems.  Supply … Continued

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How to Ensure Useful Data Extraction from a PI Historian System 

Data is an ever-present and growing benchmark in all industries. However, sometimes it may feel like it’s cloaked in mystery. There’s often a question of, why is collecting process data important? You then start to go down the rabbit hole trying to answer…..How do you get data out of your equipment? How do you decide what to collect? After assessing the previous questions, how do you test, and if necessary, validate that all of that data is being collected as expected? Understanding a holistic approach to data collection and validation from an AVEVA PI Historian System can help provide a high-level, big picture understanding to the importance of process data. With more than 10 years’ experience as a group engineering manager, Matt Martin has a depth of experience with integrating AVEVA PI Systems within sites of various sizes – here’s what I’ve learned: Why is the Importance of Data Increasing?  The “why” question is the easiest one to answer. Everyone can agree that in the era of modern manufacturing, extracting data from your manufacturing processes is critical to a business’s success and ability to grow. This includes every level of production and management: Provides the operator at the plant floor level the ability to adjust and better control the manufacturing process on the fly Allows engineers better insight into trends and behaviors of the overall process to improve designs from both a throughput and efficiency standpoint Produces KPIs (key performance indicators) for managers and executives to assist in their decision making Having large representative data sets is becoming even more important with the advent of AI and more specifically machine learning. Allowing these technologies access to your systems data helps identify patterns, overall system behavior, and correlations that were previously near impossible for the human eye to uncover.  Now, How … Continued

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