A one-box toolset containing everything you need to get the most from your plant. Designed and built by experts in process improvement, to tackle the challenges of increasing process capability, capacity and quality.
The responsibility of process engineers to continually improve production processes is with us more today than ever before. Every engineer needs skills and tools to evaluate improvement opportunities and demonstrate tangible benefits in short time-frames.
PerceptiveAPC Development has been uniquely designed to provide a comprehensive suite of statistical analysis techniques to benchmark and quantify improvement opportunities, alongside with a powerful mix of process control and monitoring technologies required to deliver real process improvement.
Having everything together in one place - to investigate, quantify, and evaluate multiple monitoring and control strategies -
enables the engineer to rapidly find and prototype a solution ready for testing and approval. This is why Perceptive's Development software is used by the process improvement teams of leading global manufacturers, around the world.
Unlock the True Potential of your Plant
Process Analysis:
Imported data is analysed for outliers, correlations, and statistical normality using a broad range of univariate and multivariate statistical methods. The process dataset may be used to identify and classify regions of abnormal behaviour and develop appropriate models to gain a greater understanding of the problem.
Process Modelling:
Process models are derived empirically using linear and non-linear regression techniques within the Modelling module, which also includes model path masking, sensitivity analysis and cross validation metrics to provide a complete modelling framework. Any process model may be interchanged between process monitoring, control and optimization within the same environment to enable efficient development of complete process improvement solutions.
Process Monitoring:
The Process Monitoring module provides facilities to design and evaluate monitoring engines capable of improving process alarming, fault detection, fault identification, and fault diagnosis in complex processes. Each monitor can undergo thorough evaluation by data streaming historical process data into the engine; this ensures a high robustness level that ultimately provides effective and meaningful alarms.
Process Control:
The fourth module offers a practical approach to process control engineering, within a user friendly environment to test the variety of frequently used industrial control algorithms. With engines ranging from PID to Multivariable Model Predictive Control, the user has access to the latest technology in the field.
Process Optimisation:
Optimisation is the natural progression from improved control. The software's Optimisation module provides engines to calculate optimum solutions for continuous and batch processes using the process models derived within PerceptiveAPC Development. The user is provided with configurable templates for entries for optimisation constraints, cost functions and model entry to ease the procedure for quickly determining an optimum solution
