Focus on local scenarios to achieve lean device management

Schneider Electric believes that digital transformation needs to be clearly prioritized, rationally plan the transformation path, and “take small steps to run fast”, which can give priority to starting from the link with a solid foundation and high potential value, and then gradually expand the coverage of digital in the business link and management link to achieve data penetration and business collaboration. For local scenario optimization, Schneider Electric’s typical applications in the food and beverage industry include predictive maintenance consultant PMA, advanced algorithm-based control system AVEVA APC, and machine learning algorithmic control systems.

Schneider Electric Predictive Maintenance Advisor (PMA) is a fault prediction and diagnosis solution based on big data +AI technology and driven by equipment process + mathematical + mechanism model to provide services for customers from the perspective of predicting and diagnosing equipment faults. Predictive maintenance consultant PMA is suitable for use when the environment of the user’s field equipment is harsh, the failure rate is high, the single value of the equipment is expensive, the key equipment of the process and process, and the equipment failure cannot be traced and traced. The digital solution can predict and diagnose all types of failure of all basic components, reduce the number of unplanned downtime, increase equipment utilization, reduce equipment maintenance costs, empower inspection personnel, reduce costs and increase efficiency for customers, and help enterprises achieve digital transformation. A large dairy company in Asia, for example, deployed Schneider Electric Predictive Maintenance Consultant PMA in its homogenizers and centrifuges to help it achieve a 17% increase in equipment utilization, a 35% reduction in maintenance costs, an 80% reduction in unplanned outages, and a 15% increase in production efficiency.

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In addition, the filter of an international beer giant adopts the machine learning algorithm control system of Schneider Electric, which replaces the original manual control or setpoint control by the algorithm control model, integrates the overall indicators such as quality, cost and efficiency, and realizes the global optimal solution under the constraint of rules, so that the cost is the lowest and the efficiency is the highest under the premise of ensuring quality.

In the face of new opportunities and challenges under the background of low-carbon energy saving era, food and beverage enterprises should not only strengthen their own products “moat”, find new growth support points, but also accelerate the deep integration of automation and digitalization, and seek low-carbon sustainable development. Based on profound industry insight and experience accumulation, Schneider Electric will fully help customers in the food and beverage industry to meet various needs from comprehensive improvement to local optimization by relying on end-to-end hardware and software integration solutions and services, achieve green, safe, efficient, compliant and stable production and operation, and help food and beverage enterprises create greater value. Promote the digital and low-carbon transformation of the industry.