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.
AGL Energy, one of Australia’s largest power retailers, is replacing its electromechanical meters with interactive smart meters in 2.2 million homes and 300,000 businesses throughout the state of Victoria, including its capital, Melbourne. This is nearly a 4,320-fold increase in daily data processing for electricity providers. It’s also the start of a “data tsunami,” swelling up from these 2.5 million smart meters and flowing into AGL Energy’s billing and operations systems.AGL’s Business Requirements- For wholesale energy: Improved settlement reporting- For merchant energy portfolio management: Better load forecasting, accuracy and data analytics / segmentation with better reporting- For analytics: Better forecasting and reporting
Philips Motiva is an interactive TeleHealth platform, expertly designed to allow people with chronic conditions such as: Chronic Heart Failure, Diabetes Mellitus, and Chronic Obstructive Pulmonary Disease (COPD) to be monitored from the comfort of their own home. With data sent direct to their healthcare provider, both patients and care staff are empowered to manage the condition with greater flexibility. Able to monitor weight, blood pressure, oxygen saturation in the blood and can also be used to answer a questionnaire, the system is intuitive and can be tailored to suit the individual requirements of each patient. Philips Healthcare needed a totally managed solution, giving reliable, in home connectivity to the Philips Motiva, allowing connectivity to multiple networks across Europe. Poor connectivity could result in multiple engineering visits and delays in the installation process costing Philips both time and money.
Haven’s focus on customer service has fuelled a rapid level of growth since its launch in 2006. For its first five years, the company ran on a hybrid infrastructure that was made up of a mixture of onsite and offsite servers. Haven’s systems were not as flexible as it would have liked, with limited support for technology testing and development. The company lacked a complete business continuity and disaster recovery (DR) plan, and needed a technology infrastructure that could both keep up with demand and help drive further growth.Haven had three options: getting a DR solution through the data center of its parent company, Drax Group; going through a third-party re-location disaster recovery service; or moving to the cloud.