Performance Monitoring using Pecos¶
Advances in sensor technology have rapidly increased our ability to monitor natural and human-made physical systems. In many cases, it is critical to process the resulting large volumes of data on a regular schedule and alert system operators when the system has changed. Automated quality control and performance monitoring can allow system operators to quickly detect performance issues.
Pecos is an open source Python package designed to address this need. Pecos includes built-in functionality to monitor performance of time series data. The software can be used to automate a series of quality control tests and generate custom reports which include performance metrics, test results, and graphics. The software was developed specifically to monitor solar photovoltaic systems, but is designed to be used for a wide range of applications. Figure 1 shows example graphics and dashboard created using Pecos.
To cite Pecos, use one of the following references:
K.A. Klise and J.S. Stein (2016), Performance Monitoring using Pecos, Technical Report SAND2016-3583, Sandia National Laboratories, Albuquerque, NM.
K.A. Klise and J.S. Stein (2016), Automated Performance Monitoring for PV Systems using Pecos, 43rd IEEE Photovoltaic Specialists Conference (PVSC), Portland, OR, June 5-10. pdf
- Simple example
- Time series data
- Translation dictionary
- Time filter
- Quality control tests
- Composite signals
- Configuration file
- Task scheduler
- Custom applications
- Data acquisition
- Copyright and license
- Release Notes
- API documentation
Indices and tables¶
Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA-0003525.