All emphasize low-cost components operating on shoestring power budgets for years at a time in potentially hostile environments without hope of human intervention.
Accurate personnel and vehicle tracking has been achieved using networks of small, unobtrusive, low-cost wireless sensors. The wireless MSTAR sensors developed in this work are based on previous pioneering MEMS sensing and TinyOS communications software work completed at UC Berkeley. The works has been funded under the DARPA SensIT, SensorWebs, and on-going DARPA NEST programs. These MSTAR sensors deliver around the clock all-weather surveillance and perimeter protection for field environments, including buildings, camp and tent locations, streets, mountainous regions, and other geographies. These capabilities satisfy many on-going intelligence and warfighter safety requirements. The MSTAR sensors are quickly deployed by hand emplacement or air-drop from a UAV or other airborne platform. The combination of multimode sensing on each wireless MSTAR sensor and multiple MSTAR sensors in the environment yields low false detections within the network perimeter. In addition, using the geopgraphy dispersion and networked algorithms, it is possible to estimate the target's speed, direction, and loosely classify the target. Satellite exfiltration of data provides real-time access to the data on a worldwide
U was an early pioneer in distrib ution-level supervisory control a n d d a t a acquisition (SCADA) technology, implementing its first SCADA s y s t e m in 1975 in t h e Distribution Operating department. However, by the late 1980s, it had become obvious that the demand for SCADA had exceeded t h e system's capabilities. UE decided to upgrade its existing distribution SCADA system and Accurate, up-to-date facilities information and spatia 1 relationships provided by Union Electric's adaptable AM/FM system are linked to the real-time functions o f SCADA improve dispatching/operating efficiencies by interfacing it with UE's automated mapping and facility management (AM/FM) system, thus giving the dispatchers a way to relate facility outages geographically with a real-time monitoring system. UE is based in St. Louis, Missouri, and serves 1 million electric customers within a 24,000 square mile service territory in the states of Missouri, Illinois, and Iowa. The majority of UE's electric customers (600,000) reside in a 600 square mile area surrounding St. Louis. UE began researching automation technologies in the late 1960s to address what it considered to be unsatisfactory outage response.UE began an aggressive plan t o improve its response time to trouble calls, reduce the frequency and duration of outages, and generally improve customer service after an extended heat wave in 1966 caused rolling blackouts in the system. Since 1988, UE has converted its electric primary and subtransmission facility records to an AM/FM system. This UEdesigned system extracts multiple output products from a single database, including the creation of a circuit model for the corporate mainframe used for engineering applications and a storm restoration/trouble system. It was decided t h e AM/FM system would also generate multiple map products to be transmitted to SCADA. The SCADA system would display the different map products on the same terminals as the substation onelines and would also be able to perform load flow/tie capacity calculations using the AM/FM
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.