Process Control and Optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints.
The PCO market is being driven by rising demand for energy efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations.
Fundamentally, there are three parameters that can be adjusted to affect optimal performance:
- Equipment optimization
The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks.
- Operating procedures
Operating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual.
- Control optimization
In a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
From pet- and child-safe traps, to touch-free and live-catch rodent control solutions, Victor continues to stay committed to producing superior products that meet the varying needs of today’s pest control professionals. And, with a long standing history supporting customers in the food processing, service, and retail settings, Victor knew that strict regulations were costing organizations thousands of dollars in excess overhead trying to manage their rodent-control solutions. Trap inspections in these environments are often difficult and time consuming, requiring personnel to manually check a trap’s status multiple times per day, amounting to over six hours of manual labor. Victor is looking for an innovative way to increase operational efficiencies with the use of technology.
The modern grid comes with new engineering challenges. In the United Kingdom, as renewable energy resources are being used to supplement fossil fuel production, power quality issues are surfacing. Combine this with the rapidly increasing demand for energy and the decommissioning of fossil fuel plants, and grid operators are finding that traditional measurement systems do not offer adequate coverage to handle these new challenges and manage the new risks the industry faces.
AIWA was having challenges in monitoring and optimizing energy efficiency of an entire set of different machines managed by Smart Factory Advisor, balancing of machine work loads of the productive capacity of each processing machine in the production, and collecting data to optimize electricity purchases polices for the forthcoming energy liberalization.