Implementation of a remote data logging system
Tando Figlan, Lloyd K. Setlhogo, P Prinsloo, M Dekenah
Abstract
Tando Figlan, Lloyd K. Setlhogo, P Prinsloo, M Dekenah
Abstract
Eskom is in the process of collecting load profile and other data towards the NRS034 Domestic Load Research Project. Their remote data logging system annually accumulates more than 300 mill date/time stamped measurands of household load per year from 650 households around South Africa. This paper describes the latest developments of the underlying remote data logging system used for load profiling certain customers. Over a number of years the data logging system has increased in scale, sophistication, accuracy and reliability. The elements of such a system must work smoothly to ensure availability and reliability of load data. With a constant increase in data loggers and changes to their software applications and related hardware, it is apparent logging systems are becoming increasingly more complex.
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Eskom is in the process of collecting load profile and other data towards the NRS034 Domestic Load Research Project. Their remote data logging system annually accumulates more than 300 mill date/time stamped measurands of household load per year from 650 households around South Africa. This paper describes the latest developments of the underlying remote data logging system used for load profiling certain customers. Over a number of years the data logging system has increased in scale, sophistication, accuracy and reliability. The elements of such a system must work smoothly to ensure availability and reliability of load data. With a constant increase in data loggers and changes to their software applications and related hardware, it is apparent logging systems are becoming increasingly more complex.
Key concepts: Logging, Data logger, Computer science, Sophistication, Profiling (computer programming), Reliability (semiconductor), Software, Database