Current Release: Version 15.2
Connoisseur model predictive control is comprehensive, advanced process control (APC) software that improves process profitability by enhancing quality, increasing throughput, and reducing energy usage. It uses modern technology to provide automatic control systems that are capable of releasing process potential.
Predictive control helps manufacturing businesses realize their full potential by providing insight into process control strategies, which results in improved quality and increased profits. Connoisseur is compatible with all major computer suppliers and leading vendors of control systems equipment. A unique feature even permits the application of predictive multivariable control to batch processes with multiple process models.
The latest version of Connoisseur provides several improvements, such as:
• Upgraded Non-Linear Identifications
• Upgraded User Interface
• Improved Controller Restructuring
• Improved Controller Monitoring Tools
• Communications: Enhanced OPC Client
• Addition of support for FLEXlm 9.5 and USB Security
Maximize Profits & Improve Process Economics
Connoisseur optimizes manufacturing operations with performance improvements in typically only 3-12 months! Maintenance departments are always challenged withusing limited resources for the most effective return - optimizing manufacturing operations and making performance improvements will improve the bottom line.
• Increase throughput between 1-5%
• Improve process yields by 2-10%
• Reduce specific energy consumption by 3-10%
• Enable quicker, more effective start-ups
• Reduce waste, reworking, and recycling costs
Improve Product Quality and Throughput
Reduce standard deviations in product quality beyond anything previously possible. Typically, that improvement is by a factor of two or more and is achieved by simultaneously controlling a number of process parameters and orchestrating them to maintain the product within precise specifications.
How it works
Connoisseur provides an integrated and unrivaled set of engineering facilities for engineers, enabling them to gain new insights into the process and optimize predictive control strategies to enhance process capability. It connects directly to the process or may be embedded within existing control equipment. Once connected, it performs a series of tests to collect dynamically-rich data which takes place with little or no disruption to process operations.
Statistical tools allow engineers to analyze data for cause and effect interactions. These tools, coupled with operational experience, are used to identify the important relationships which characterize process behavior. The results give engineers a powerful analytical tool that provides valuable insight into the processes' behavior and characteristics.
Benefit from significant cost and management improvements among industries as diverse as oil refining, petrochemicals, food processing, mineral & metallurgical processing, and chemicals - applied to products such as steel, copper, cement, chemicals, and petrochemicals, as well as refined household goods like dried milk, sugar, coffee, and detergents.
Key Features
On-line data collection and analysis uses statistical techniques to identify cause and effect relationships, giving important insight into process characteristics.
• Process Modeling - Quantifies cause and effect relationships, accurately representing process behavior to provide better understanding of problems and assist in controlling them.
• Controller Generation - Allows the system to automatically generate a robust and accurate multi-variable controller
• Real Time Adaptive Control - Enables the control system to be adapted to prevailing process conditions on-line.
• Constrained Optimization - Permits operation within the physical constraints of the process, allowing Connoisseur to maximize process potential.
