scholarly journals SATORI: Situation Assessment through Re-Creation of Incidents

Author(s):  
Mark D. Rodgers

A system has been developed that graphically re-creates the radar data recorded at En Route air traffic control facilities. Each facility records data sent to the radar displays associated with the airspace under its control on a System Analysis Report (SAR) tape. SATORI (Situation Assessment Through Re-creation of Incidents) overlays the SAR data on the appropriate sector maps using map data from the Adaptation Control Environmental System (ACES) database. Voice records from the audiotape recording of the communications between the controller and pilots, and interphone communications are digitized and replayed in synchrony with the events displayed on the screen. Figure 1 details the SATORI data processing flow. The analog switch display settings of the PVD are not recorded, however subroutines have been written for SATORI that allow the display to be set up with the settings reported to have been used by a given controller. In addition to the above, SATORI has the capability to display the high and low weather intensity that was displayed on a given PVD. All software routines written for SATORI use Open Systems Foundation (OSF) technology. Similar data to those available from En Route facilities are recorded at TRACON facilities and should allow for the development of a re-creation tool much like the one discussed in this report. Once SATORI is evaluated, it will be possible to accomplish the goals of evaluating system designs, over-the-shoulder appraisals, training outcomes, and measuring controller performance.

1983 ◽  
Vol 36 (2) ◽  
pp. 288-301
Author(s):  
Sidney Morleigh

Among the major problems encountered in the control of air traffic are those concerned with conflict prediction and resolution. An interesting method by which many of the associated difficulties could probably be overcome would be by employment of a suitable type of computer-controlled Airborne Traffic Situation Display (ATSD). This would operate in a manner similar to that described for the Fully Automated Pilot-Monitored ATC, utilizing information derived from an ATC Centre via ground/air data link.In addition to the ATSD and the associated digital computer the airborne equipment required for this system includes an electronic data display (EDD) and a bulk storage unit for enabling flight plan and map data to be set up on the relevant display. The ground-based ATC subsystem could automatically provide the pilot with information concerning other air traffic in the vicinity, warning him of any potential conflict situations and advising him of an appropriate evasion manoeuvre. The air traffic data could automatically up-date the back-up information for both the ATSD and the EDD, whilst details of any proposed collision-avoidance manoeuvre could appear on the EDD. The pilot would be able to employ his airborne computing and ATSD system for monitoring the situation. He should therefore be able to confirm the likelihood of a collision, to check the time available before a potential impact and to determine the most suitable manoeuvre for collision avoidance. This manoeuvre will generally agree with that selected by the ground system.


2012 ◽  
Vol 60 (2) ◽  
pp. 259-263 ◽  
Author(s):  
J.F. Ganghoffer

Abstract. The volumetric and surface growth of continuum solid bodies is considered, in the framework of the thermodynamics of open systems exchanging mass, work and chemical species (nutrients) with their environment. More specifically, we address the issue of setting up extremum principles for such growing bodies. A general three-field variational principle is set up, based on the so-called zero potential, which is a byproduct of the grand potential. The stationnarity conditions of those potentials deliver balance laws for generalized volumetric and surface Eshelby tensors, leading further to the identification of the material forces for growth.


2021 ◽  
Author(s):  
Patrick Kuntze ◽  
Annette Miltenberger ◽  
Corinna Hoose ◽  
Michael Kunz

<p>Forecasting high impact weather events is a major challenge for numerical weather prediction. Initial condition uncertainty plays a major role but so potentially do uncertainties arising from the representation of physical processes, e.g. cloud microphysics. In this project, we investigate the impact of these uncertainties for the forecast of cloud properties, precipitation and hail of a selected severe convective storm over South-Eastern Germany.<br>To investigate the joint impact of initial condition and parametric uncertainty a large ensemble including perturbed initial conditions and systematic variations in several cloud microphysical parameters is conducted with the ICON model (at 1 km grid-spacing). The comparison of the baseline, unperturbed simulation to satellite, radiosonde, and radar data shows that the model reproduces the key features of the storm and its evolution. In particular also substantial hail precipitation at the surface is predicted. Here, we will present first results including the simulation set-up, the evaluation of the baseline simulation, and the variability of hail forecasts from the ensemble simulation.<br>In a later stage of the project we aim to assess the relative contribution of the introduced model variations to changes in the microphysical evolution of the storm and to the fore- cast uncertainty in larger-scale meteorological conditions.</p>


2020 ◽  
pp. 1465-1483
Author(s):  
Sergey Lebedev ◽  
Michail Panteleyev

An ontology-driven approach to software design and development of situation assessment systems (SAS) for IoT applications is considered. As SAS is used to build the situational model for the external environment, it highly depends on the operational domain. To simplify the transition from the domain description to SAS dataflow process the ontology-driven approach is proposed. The main idea of the approach is to explicitly formalize SAS dataflow process in an ontological form. For this purpose, a domain-independent SAS ontology is proposed that allows automation of the dataflow process design. The dataflow process ontology is used to automate development and runtime stages of SAS lifecycle. The proposed ontology is included into the proposed instrument set. The set can be used to build SAS systems for different domains described with OWL ontology. The set is evaluated on a traffic control scenario.


2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
M. Brenna ◽  
F. Foiadelli ◽  
D. Zaninelli

This paper presents a stability analysis of train converters in order to evaluate how the controller parameters affect the absorbed current. The new dynamic model presented in this paper is capable of considering the time-variant nature of the system for the correct tuning of the feedback proportional-integral PI controller, applying a current controlled modulation technique never used in high-power traction converters. The reduction of the harmonic content of the current absorbed by a converter employed at the input stage onboard high-speed trains is really important, considering the interaction with the signaling system set up for traffic control. A computer model of the converter, considering both the power and the control structure, has also been implemented in order to deliver a validated tool for the developed theoretical analysis.


2013 ◽  
Vol 753-755 ◽  
pp. 2757-2760
Author(s):  
Jing Yan

Modular modeling methods based on the reasonable simplifying and supposing of hydraulic system of demolishing robots are proposed in this paper, dynamic mathematical model of each hydraulic element of demolishing robots is set up by the dynamic system analysis software package Simulink of Matlab, response characteristic curve is obtained by the simulation, and analysis of the simulation results is operated in this paper. The experimental results explicate that the hydraulic system is stably, real-time, low-cost, and easy to expand; it can meet the applying requirements of demolishing robots, and it provides the theory basis for the project applying of the hydraulic system of demolishing robots.


2012 ◽  
Vol 5 (1) ◽  
pp. 1717-1761
Author(s):  
M. Schneebeli ◽  
J. Sakuragi ◽  
T. Biscaro ◽  
C. F. Angelis ◽  
I. Carvalho da Costa ◽  
...  

Abstract. A polarimetric X-band radar has been deployed during one month (April 2011) for a field campaign in Fortaleza, Brazil, together with additional sensors like a Ka-band vertically pointing frequency modulated continuous wave (FMCW) radar and three laser disdrometers. The disdrometers as well as the FMCW radar are capable of measuring the rain drop size distributions (DSDs), hence making it possible to forward-model theoretical polarimetric X-band radar observables at the point where the instruments are located. This set-up allows to thoroughly test the accuracy of the X-band radar measurements as well as the algorithms that are used to correct the radar data for radome and rain attenuation. In the first campaign in Fortaleza it was found that radome attenuation dominantly affects the measurements. With an algorithm that is based on the self-consistency of the polarimetric observables, the radome induced reflectivity offset was estimated. Offset corrected measurements were then further corrected for rain attenuation with two different schemes. The performance of the post-processing steps is being analyzed by comparing the data with disdrometer-inferred polarimetric variables that were measured in a distance of 20 km to the radar.


1979 ◽  
Vol 35 (8) ◽  
pp. 1049-1051 ◽  
Author(s):  
B. Paletta ◽  
R. Moeller ◽  
H. Trutnovsky ◽  
W. Mlekusch

2018 ◽  
Vol 15 (5) ◽  
pp. 708-717 ◽  
Author(s):  
E. S. Temnov

Introduction. The urgency of transport modeling, which is the basis for the implementation of various technical solutions aimed on the automated traffic control systems usage based on a new generation of road controllers, is noted. The circumstance according to which the transport modeling acquires essentially dynamic approach is specified. The aim and the problems of the study are formulated, consisting in the generalization and formalization of the tasks of transport modelling.Materials and methods. To solve such problems the author uses methods of system analysis, theory of transport systems, as well as techniques that are widely used in the community of transport engineers, including various options for computational and experimental methods of modeling traffic flows and transport systems for the city or agglomeration.Results. On the basis of generalization of information about stages of transport modeling the sequence of actions leading to obtaining the required transport model, by means of which it is possible to carry out the decision of a specific task, is offered. The list of the main tasks of transport engineering is formulated, the importance of the dynamic approach and the special role of the theory of transport macro systems are indicated, according to the provisions of which stochastic processes at the micro level lead to the deterministic behavior of transport systems at the macro level.Discussion and conclusions. The main result of the research is the development of the control actions for the operation of the intelligent transport system that evenly distributes traffic flows through the network and prevents the occurrence of congestion in real time. The basis for it is the formulation and solution of various problems of transport modeling.


2021 ◽  
Author(s):  
Katy Burrows ◽  
David Milledge ◽  
Richard J. Walters ◽  
Dino Bellugi

Abstract. Information on the spatial distribution of triggered landslides following an earthquake is invaluable to emergency responders. Manual mapping using optical satellite imagery, which is currently the most common method of generating this landslide information, is extremely time consuming and can be disrupted by cloud-cover. Empirical models of landslide probability and landslide detection with satellite radar data are two alternative methods of generating information on triggered landslides that overcome these limitations. Here we assess the potential of a combined approach, in which we generate an empirical model of the landslides using data available immediately following the earthquake using the Random Forests technique, and then progressively add landslide indicators derived from Sentinel-1 and ALOS-2 satellite radar data to this model in the order they were acquired following the earthquake. We use three large case study earthquakes and test two model types: first, a model that is trained on a small part of the study area and used to predict the remainder of the landslides, and second a preliminary "global" model that is trained on the landslide data from two earthquakes and used to predict the third. We assess model performance using receiver operating characteristic analysis and r2, and find that the addition of the radar data can considerably improve model performance and robustness within two weeks of the earthquake. In particular, we observed a large improvement in model performance when the first ALOS-2 image was added and recommend that these data or similar data from other L-band radar satellites be routinely incorporated in future empirical models.


Sign in / Sign up

Export Citation Format

Share Document