The Sensors Project is a group of sub projects providing support for the collection of near real time event data. The data is collected by a variety of devices such as Barcode, RFID Readers and Wireless Sensor Networks. Case and item level observations of assets are stored in conformance with existing GS1/EPCGobal message specifications.

This site is presently undergoing a remodeling and will be complete in the next few weeks. Until then, we have provided an older (JNLP) version of our collection and query interfaces. These are being modernised and are to be supplied in HTML 5. The new interfaces should be posted by mid July 2011.

Our oldest project reads observation data and stores this in a GS1 standard datastore, presently MySQL RDB. There are a few demo programs here to demonstrate the back end functionality of the Pharm2Phork EPC Repository. The same back end functionality is used for the collection of data from fixed sensors, as well as observation data harvested from email, spreadsheet, IM and other sources.

We are in the process of moving the EPCIS Repository from a relational database to an RDF tripple store. The tripple store provides for increased scaling as well as a means of working with the data in a networked fashion. RDF combined with OWL2 ontologies and reasoners allow for not only the reporting of events and trends based on known patterns, but also has the means to discover new relationships.

Instructions for downloading the interfaces as well as documentation for their use are here

Our latest set of projects are working with wireless sensor networks to replace the standard fixed sensors (wired) to reduce complexity and cost as well as to provide for greter flexibility and efficiency. The new sensors can provide several years of service from a single set of batteries eliminating the need for external power sources, expensive installation and maintenance at the observation or monitoring site. In addition to asset tracking these sensors will provide temperature, humidity, soil moisture, light levels, motion for use in a greater variety of applications, such as Precision Agriculture.