Standardization of protocols and data formats has been a problem but is now growing in the industry and XML, JSON, and YAML are increasingly being adopted for data exchange. The development of the Semantic Web and the Internet of Things is likely to accelerate this present trend.
Several protocols have been standardized including a smart protocol, SDI-12, that allows some instrumentation to be connected to a variety of data loggers. The use of this standard has not gained much acceptance outside the environmental industry. SDI-12 also supports multi-drop instruments. Some data logging companies support the MODBUS standard. This has been used traditionally in the industrial control area, and many industrial instruments support this communication standard. Another multi-drop protocol that is now starting to become more widely used is based upon CAN-Bus (ISO 11898). Some data loggers use a flexible scripting environment to adapt to various non-standard protocols.
The terms data logging and data acquisition are often used interchangeably. However, in a historical context, they are quite different. A data logger is a data acquisition system, but a data acquisition system is not necessarily a data logger.
Applications of data logging include:
Data Loggers are changing more rapidly now than ever before. The original model of a stand-alone data logger is changed to one of a device that collects data but also has access to wireless communications for alarming of events, automatic reporting of data, and remote control. Data loggers are beginning to serve web pages for current readings, e-mail their alarms, and FTP their daily results into databases or direct to the users. Very recently, there is a trend to move away from proprietary products with commercial software to open-source software and hardware devices. The Raspberry Pi single-board computer is among others a popular platform hosting real-time Linux or preemptive-kernel Linux operating systems with many
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