Minneapolis, USA, 2 August 2006: ObjectFX Corporation, a provider of location-enabled enterprise information solutions, announced on August 2 the availability of SpatialRules 2.0, a spatiotemporal rule system designed to manage streams of spatial and temporal data. The release follows successful beta testing by several major systems integrators serving the defence and geospatial intelligence communities.
SpatialRules 2.0 strengthens the company’s ability to help customers manage the flood of location-based information that faces many organizations in government and the private sector. Initial target industries and applications for the technology include commercial transportation, logistics and supply chain management; government homeland security and law enforcement; military blue/red force tracking, logistics and situational awareness; and intelligence monitoring and analysis. SpatialRules uses unique patent pending methods to deliver the high scalability needed for such advanced geofencing and data reduction operations.
SpatialRules 2.0 is a service-oriented middleware component that receives and analyzes streams of spatial and temporal data. Typical data sources include GPS systems, RFID readers and sensor networks, however “location reports” from a variety of technology platforms that generate data indicating the location of an object at a given point in time, as well as human observation, can also be analyzed. SpatialRules supports a native XML input format and allows output to be directed to queuing systems and relational databases, as well as XML streams such as RSS, GeoRSS, KML and GML.
A SpatialRules implementation consists minimally of the SpatialRules spatiotemporal rule engine, a repository of spatial and temporal boundaries, and a repository of rules. The SpatialRules system includes software for storing and managing the boundary and rule databases. Users define their own boundaries representing “areas of interest” as well as rules that define conditions such as inside, outside, enter, exit, and distance relative to spatial and temporal boundaries.