21-05-2012, 05:31 PM
A SCHEME FOR THE APPLICATION OF SMART MESSAGE LANGUAGE IN A WIRELESS METER READING SYSTEM
ABSTRACT
In order to solve the problems of the communication among various metering devices in the traditional wireless meter reading system, Smart Message Language (SML) which is the definition of the German national standard for Automatic Meter Reading System is introduced.
In this paper, the Wireless Meter Reading system is developed based on WI-FI, with the monitoring terminal of the hardware platform made up of Marvell 88W8686, the ARM7 processor and peripheral circuits, using μC/OS-II operating system and LwIP protocol. VC++ and MDB database is used to develop a management software.
SML protocol is adopted to design the format of the data frame to create a unified data structure for data procurement. This system archives the function of reading meter data from hardware, data processing and storage.
The experiment result proves that this type of data structure improves the transmission efficiency and the performance of the system and is suitable for implementation in low-power embedded systems.
ABSTRACT
In order to solve the problems of the communication among various metering devices in the traditional wireless meter reading system, Smart Message Language (SML) which is the definition of the German national standard for Automatic Meter Reading System is introduced.
In this paper, the Wireless Meter Reading system is developed based on WI-FI, with the monitoring terminal of the hardware platform made up of Marvell 88W8686, the ARM7 processor and peripheral circuits, using μC/OS-II operating system and LwIP protocol. VC++ and MDB database is used to develop a management software.
SML protocol is adopted to design the format of the data frame to create a unified data structure for data procurement. This system archives the function of reading meter data from hardware, data processing and storage.
The experiment result proves that this type of data structure improves the transmission efficiency and the performance of the system and is suitable for implementation in low-power embedded systems.