Overview of Progressive Evaluation Methods for Monitoring of Heat Production and Distribution

The contribution describes the specific approach to the monitoring and evaluation of heat production and supply/distribution. The approach is based on application of progressive evaluation methods such as computational intelligence techniques. The proposal consists of data collecting module and monitoring/evaluation module. It is clear that to collect a large amount of data concerning heat production and distribution is a relatively simple task. It depends on selection of parameters, application of sensors and meters. The measured values are read with SCADA-type software. Following step is of a higher complexity: a decision, what to do with the data. The useful data processing is focused on efficiency, predictability, optimization of processes, and possibly on synergistic effects.