We’re told to collect as much data from our processes as we can, and there’s practically infinite storage space in the cloud—but how do you make sense of all this data?
With automation and the Industrial Internet of Things (IIoT), it’s now easier than ever to collect data and monitor production—all this in the name of managing food quality and food safety. But, with multiple sites and lines supplying data around the clock, any staff would be all but overwhelmed—without a direction in where to focus their process management efforts.
The Australian Cyber Security Center provides an updated “Essential Eight Maturity Model” to help you determine your maturity level in mitigating cybersecurity issues in eight key areas
A recent statement from U.S. Department of Homeland Security’s Cyber+Infrastructure’s (CISA) National Cyber Awareness System noted that the Australian Cyber Security Centre (ACSC) has updated its “Essential Eight Maturity Model.” Though all this sounds like alphabet soup or bureaucratic gobble-de-gook, the Maturity Model consists of eight important mitigation strategies you should be employing to protect your computing systems.
When we think of IIoT, we often consider the roles it plays in fine tuning processes to peak efficiency, minimizing downtime through predictive or prescribed maintenance, or acquiring data and processing it to improve food quality and safety. But, we don’t always think of another role IIoT can play, and that is using its capabilities to produce unique products in a very small quantity and package and ship them to individual customers.
Food Engineering's recent Food Automation & Manufacturing Conference addressed several high-tech Industry 4.0 topics, including predictive maintenance (PdM). I’d like to show how you can use IIoT tools to improve your maintenance program—and maybe even better your OEE scores in the process.
Some food and beverage plants are potentially well-suited to totally automated process control. Other applications may not be so easy to automate but can still benefit from incremental process control implementations.
Precise control over food and beverage production is in the spotlight as health-conscious consumers are increasingly paying close attention to the ingredients and labeling of their products. So, to protect consumers, governments are closely regulating the traceability, manufacturing, and labeling of food and beverage products. Meanwhile, increased competition and narrow margins in food manufacturing are making efficient production essential in driving ROI and business viability.
Seven suppliers from mechanical engineering, industrial automation and software announced the foundation of the Open Industry 4.0 Alliance at the Hannover Messe 2019 trade fair. With this cooperation, the companies want to overcome proprietary solutions and give a boost to the digital transformation of the European industry.
Industrial IoT technology gives food manufacturers and the food service industry real-time data to identify problems, reduce waste and prevent expensive, brand-damaging outbreaks and recalls.
Enter EPIC—a controller capable of handling analog and discrete I/O with direct connection to sensors and actuators, running real-time tasks on board and connecting safely to cloud-based and on-premises applications.