Situation awareness

About: Situation awareness is a research topic. Over the lifetime, 7380 publications have been published within this topic receiving 108695 citations. The topic is also known as: SA & situational awareness.

Methodology for Data and Information Quality Assessment in the Context of Emergency Situational Awareness

Abstract: Situation Assessment (SA) approaches aim to provide powerful resources to support decision makers in enhancing their Situational Awareness (SAW). The process of SA in emergency response systems is of utmost importance once the information acquired and inferred from human reports is used to support the deployment of tactics and resources to attend incidents. However, operators of such systems may face informational barriers leading to an erroneous SAW and consequently jeopardize the assessment process if they are not handled. One of such barriers in this context is the presence of low-quality data or information. Hence, a challenging issue in this field is to determine how to generate, score, update and represent data and information quality cues to support operators to reason under uncertainties and improve their understanding about an ongoing situation. The state of the art in this area presents a research gap regarding methodologies for the information quality assessment which can be used in the emergency management domain. Also, there is a lack of approaches that interface with different levels of situational information during an assessment routine. Hence, in order to enhance operators situational awareness, a new methodology is presented to improve the capabilities of SA systems by enriching knowledge about situations with reliable metadata. Such methodology, named Information Quality Assessment Methodology in the Context of Emergency situational awareness, is composed by: elicitation of data and information quality requirements; definition of functions and metrics to quantify quality dimensions, such as completeness, timeliness, consistency, relevance and uncertainty; and the representation of situational information by the instantiation of a situation model, which can be consumed by an ontology. Finally, a case study is addressed to verify the applicability of the methodology using data and information from a robbery event. The results obtained show situational models with qualified information that feed SA systems, enabling them to be aware of information quality.

Human-Robot Teaming in Urban Search and Rescue

Abstract: Although current urban search and rescue (USAR) robots are little more than remotely controlled cameras, the end goal is for them to work alongside humans as trusted teammates. Natural language communications and performance data are collected as a team of humans works to carry out a simulated search and rescue task in an uncertain virtual environment. Conditions are tested emulating a remotely controlled robot versus an intelligent one. Differences in performance, situation awareness (SA), trust, and workload are measured. The Intelligent robot condition resulted in higher levels of performance and operator SA.

Intelligent sensor management for beyond visual range air-to-air combat

Abstract: The design of an intelligent sensor management system has been completed as part of the US Air Force air-to-air attack management (A/sup 3/M) program This system includes computer software and control/display concepts capable of being implemented in the fire control system of an advanced fighter aircraft The A/sup 3/M Sensor Manager provides coordinated adaptive control of the aircraft's onboard sensors The Sensor Manager enhances attack avionics capabilities by decreasing pilot workload, increasing pilot situation awareness, reducing redundant usage of sensors, exploiting sensor synergies, improving passive and low probability of intercept operations, and fully utilizing the agility and flexibility of the electronically steered antenna radar Preliminary simulations studies of sensor management algorithms and concepts have shown significant promise A discussion of the current status of the Sensor Manager is presented along with a look at future possibilities in intelligent sensor-management systems >

Synchrophasor-based real-time state estimation and situational awareness system for power system operation

Abstract: State estimation is a critical functionality of energy management system (EMS) to provide power system states in real-time operations. However, problems such as failure to converge, prone to failure during contingencies, and biased estimates while system is under stressed condition occur so that state estimation results may not be reliable. The unreliable results further impact downstream network and market applications, such as contingency analysis, voltage stability analysis, transient stability analysis, system alarming, and unit commitment. Thus, operators may lose the awareness of system condition in EMS. This paper proposes a fully independent and one-of-a-kind system by integrating linear state estimator into situational awareness applications based on real-time synchrophasor data. With guaranteed and accurate state estimation solution and advanced real-time data analytic and monitoring functionalities, the system is capable of assisting operators to assess and diagnose current system conditions for proactive and necessary corrective actions. The architecture, building components, and implementation of the proposed system are explored in detail. Two case studies with simulated data from the subsystems of Electric Reliability Council of Texas (ERCOT) and Los Angeles Department of Water and Power (LADWP) are presented. The test results show the effectiveness and reliability of the system, and its value for real-time power system operations.