What is Digital Twin and What Does it Do?
Production line shot of digital twin palletizing line.
Why Make CIP an Integral Part of Your Automated Processes
In the same way you use automation to make consistent, quality products, why not use CIP to ensure germ-free cleaning every time? You’ve automated your process and packaging and have computer-generated paper trails to show food safety and quality throughout your facility. Why wouldn’t you do the same with cleaning—wherever it’s practical? Granted, there are certain pieces of equipment you just have to take out of the process to clean manually, but for other components—like piping, some conveyor belting, certain pumps, mixers, tanks and other equipment—you can clean them in place (CIP) and have automated recordkeeping to show proof of cleaning and sanitation to regulating bodies when they ask. An Expert Opinion on Sanitation Safety in Food & Beverage Automation “CIP is an integral part of cleaning and sanitation, which affects the food safety of any facility. Cleaning and sanitation not only help you comply with regulatory requirements, but also protect consumers and your brand from contamination and recalls,” says Pablo Coronel, Ph.D., CRB Senior Fellow in Food Process & Food Safety. “CIP is carried out in process lines without dismantling and must reach every nook and cranny of the process equipment; thus, well-designed equipment that is amenable to CIP (as opposed to COP—clean out of place) is a must for any installation. Materials of construction, drainability, ease of cleaning, and prevention of dead areas/zones are some of the criteria for design,” adds Coronel. Besides the equipment design, a successful CIP system depends on several variables, such as water flow rate and temperature, chemicals used (concentration) and time of cleaning. These variables are set in cooperation with the chemical supplier by the characteristics of the product to be cleaned (viscosity, stickiness, amount of fouling and presence of allergens) and the equipment that needs to be cleaned. The presence of allergens, … Continued
E Tech Group Delivers Batch Controls for Meat Cultivation
Taking cells from livestock to grow meat in a lab might seem like science fiction, but E Tech Group is making these processes a reality. Alternative proteins and cultivated meat are the ethical, sustainable future of meat production, and require innovations in automation technology and control system design. Cassy Gardner, Director of Operations, and Anees Chamarty, Lead Automation Engineer at E Tech Group, Life Sciences West, discussed their work to develop a scalable and sustainable solution for cultivated meat. The first-of-its-kind pilot plant is essentially growing meat in a lab, with the help of automation. “This is something that’s not been done before, so our clients are in a very innovative space,” said Gardner. “This made early involvement with the client imperative to reducing design changes throughout the course of the project. We really had to stay, from an automation perspective, in lockstep with the clients as they evolved what they were looking to accomplish from a process perspective,” said Gardner. Key Considerations in Batch Control for Cultivated Meat Implementing batch controls in cultivated meat production requires careful attention to several critical factors. Maintaining consistent recipes, calibrating equipment precisely, and closely monitoring environmental conditions are all essential to ensuring reliable cell growth and product quality. Detailed process data must be captured and analyzed continuously, providing the foundation for quality control, regulatory compliance, and process improvement. By focusing on these considerations, facilities can achieve repeatable outcomes and maintain scalability as production volumes increase. Benefits of Batch Control Systems Advanced batch control systems bring significant advantages to cultivated meat production. They help maintain consistent product quality from batch to batch, provide full traceability for regulatory requirements, and enable operators to optimize cycle times and resource usage. By automating key process steps and closely monitoring equipment performance, these systems also make scaling operations … Continued
Data Analysis Disruptors in the Industrial Space
Adapt past the disruptors to realize benefits from industrial data analytics. Vice President of Business Development, Laurie Cavanaugh, shared her insight and experience with Control Engineering for a webcast last spring in this partial transcript from the April 21, 2022, RCEP PDH webcast. Emerging Trends in Industrial Data Analysis Industrial data analysis is evolving rapidly, driven by advances in connectivity, AI, and machine learning. Modern manufacturing facilities are increasingly relying on real-time insights to optimize production, reduce waste, and improve production quality. That means that understanding analytics trends can help companies stay ahead of competitors and achieve measurable operational gains. The Source of Key Disruptors Shaping Industrial Analytics Several factors are fundamentally changing how manufacturers approach data analysis: Just as each of these creates new opportunities for manufacturers, it also introduces disruptors that can prevent progress. That doesn’t mean we should avoid progress — but it does shape what adapting to new technologies looks like. Disruptors Can Slow Industrial Data Analysis Adoption The industrial data analytics course title says “Just Enough,” but what is enough? Sometimes, enough isn’t good enough because of some of the disruptors to industrial automation. Back in the late ‘90s and the early aughts, it was difficult for those trying to sell computers into the industrial automation space. The user adoption just wasn’t there. People were afraid of technology. They didn’t have a computer in their home at that point, or were just getting into that. Fear of the unknown prevented full forward movement of the industrial automation space. There were generational barriers, but in just a 10-year timespan from the late aughts until mid-2010s, what really disrupted that? What started changing the minds of end users in the industrial space? It was what they were doing outside of work. All of a sudden, users are … Continued
