ziconNET
  • Home
  • Company
  • Industries
  • Services
    • Value Propositions
    • Project Management & Consultancy
    • Business & Process Applications
    • Benchmarking
    • Process Intelligence
    • Mobile Decision Support
    • Data Validation & Reconciliation
    • Data Mining
  • Ask Our Experts
  • News & Events
  • Downloads
  • Contact
    • Join ziconNET
    • Comment
    • Subscribe

Data Validation & Reconciliation for Yield Accounting

Picture
RECON is a comprehensive interactive software for mass, energy and momentum balancing of complex chemical and power plants on the basis of measured or otherwise fixed data. It is designed primarily for the validation of data, which has been obtained from operating processes. RECON can also be used for classical balancing in the stage of the process design.
RECON is an interface between raw process data and managerial strata in chemical and power industries. Raw process data are frequently corrupted by instruments malfunction and other problems. RECON is a decision support tool targeted at providing validated data free of most measurement and other errors. 
Basic techniques used in the process of data validation are:
  • Rigorous mass and energy balancing 
  • Data reconciliation providing consistent data which is in agreement with natural laws 
  • Advanced methods of detection and elimination of gross measurement errors 
  • Optimization of existing measurement systems
As a result of data validation RECON enables one to: 
  • Work with validated data of maximum accuracy 
  • Get knowledge about unmeasured variables calculated from balancing models (data enhancement) 
  • Transform raw process data into consistent data suitable for company accounting 
  • Easily define Key Process Indicators characterizing profitability of the production process 
  • Monitor Key Process Indicators on-line to guarantee optimum process performance 
  • Use historical database of validated and enhanced data for Data Mining and process optimization 
  • Use validated data in Advanced Process Control projects. 
Proper monitoring of industrial processes based on validated and enhanced data (sometimes called “Good House Keeping”) typically brings savings in several per cents of raw material and energy bill.


Copyright © 2012 ziconNET WLL