(286b) Development and Application of Customized Symbols in PI Vision for KPI Monitoring Based on the Greenscope Methodology

The fourth industrial revolution is reshaping the way of working for professionals and companies. In this revolution, the use of technologies based on data aims to supply information to improve production processes. This is possible due to the increase of MES (Manufacturing Execution System) and ERP (Enterprise Resource Planning) systems in industrial plants. Thus, the integration of techniques and engineering procedures into such systems may help the process production decisions in the context of sustainability. Sustainable development can be reached through a new vision attributed to industrial processes in many areas, such as efficiency, energy, economy, and environment. For example, the determination of process conditions to control gas emissions, reuse, and recycling of waste [1]. In this way, GREENSCOPE emerges as a methodology to help the quantification of the process sustainability indices based on KPIs (Key Performance Indicators) [2].

This work is related to the monitoring of process indicators based on GREENSCOPE using the PI System Architecture. The following indicators have been selected for evaluating and monitoring a dynamic simulated chemical process: reaction yield, total energy cost, total energy consumption, resource energy efficiency, and environmental quotient [2, 3]. For this purpose, a PI System Client Tool, PI Vision, is used for visualization of the KPIs, via the PI AF (Asset Framework), as shown in Figure 1.

Through the PI Data Archive provided by the PI server, the chemical process data is processed on PI AF, and the KPIs are calculated. The visualization has been possible by the PI Vision, where an extensibility model allowed the development of custom symbols for a better understanding of the relation between the KPI values. Such symbols are written in HTML, CSS, and JavaScript languages, enabling the inclusion of exclusive/sector-specific forms of data visualization. For this purpose, a radar diagram symbol has been developed, allowing the monitoring of the performance of the implemented indicators in PI AF, providing robust critical analysis and assessment of the process in focus.

REFERENCES

1. Krajnc, D.; Glaviˇc, P. Indicators of sustainable production. Clean Technol. Environ. Policy 2003, 5, 279–288.
2. Ruiz-Mercado, G.; Smith, R. L.; Gonzalez, Appendix C: GREENSCOPE: Technical User’s Guide. U. S. Environmental Protection Agency, 2014.
3. Ruiz-Mercado, G. J. et al. Sustainability Indicators for Chemical Processes: I. Taxonomy. Industrial & Engineering Chemistry Research, 2011.