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This paper presents the development of an interface for small Unmanned Aerial Systems to allow the deployment of ignition spheres at a prescribed fire, real-time fire modeling, and user updates to the automated fire model. Current systems are limited to fire monitoring or modeling, generally rely on a desktop computer, and do not allow updates to the model nor parameter adjustments in the field. The...
Aircraft flight control systems are complex systems to verify, especially considering the amount of software and hardware involved. One such flight control system is the High Lift System which provides the fundamental aircraft function of increasing wing lift. UTC Aerospace Systems provides complete "stick to surface" High Lift Actuation Systems for large commercial aircraft as well as smaller...
Energy efficient control of server rooms in modern data centers can help reducing the energy usage of this fast growing industry. Efficient control, however, cannot be achieved without: i) continuously monitoring in real-time the behavior of the basic thermal nodes within these infrastructures, i.e., the servers; ii) analyzing the acquired data to model the thermal dynamics within the data center...
In this paper we develop a non-intrusive model-based catalyst monitoring algorithm that operates by determining the magnitude of the catalyst's frequency-domain transfer function in a specific range of frequencies corresponding to a small-amplitude square-wave input command. This method requires the calibration of two parameters within a simple catalyst model consisting of a system gain, a time delay,...
The initiation phase of a mixed reality simulator that is being used for training autonomous Unmanned Aerial Vehicles (UAV) is presented. The simulator aims to adjust the UAVs controllers and their collaborative strategies. The model for the physical phenomena under analysis is a key aspect of the virtual reality environment. This model should be accurate, but also simple and easily configurable....
The paper presents some models based on artificial neural networks for particulate matter concentration forecasting. A methodology framework is proposed for selecting the best forecasting model from a set of neural networks models. First, two artificial neural network types (feed forward and radial basis) are analyzed for concentration forecasting of the particulate matter with diameter less than...
A notion of creating smart cities with integrated high end ICT technologies, including cloud, edge, IoTs, and so forth, has increased recently in order to provide a reasonably high comfort to city residents with limited human intervention. In fact, one of the major challenges faced by city authorities of developing countries is to control air pollution, which might cause chronic diseases and financial...
THz time-domain spectroscopy is a promising method for drought stress monitoring in plants. In this paper we analyse leaf transmission THz time-domain for physiological range of leaf water contents. In addition, a realistic multilayers leaf model, was developed to improve the estimation of leaf water status as compared to commonly used single layer models.
This paper first gives a brief review of Integrated Vehicle Health Management (IVHM) concept, functions and architecture, then summarizes recent international research and development activities in this area especially in commercial aviation industry. A clear trend is that IVHM has become a focus in aerospace industry. All commercial aircraft manufacturers have spent significant amount of resources...
Civil aircraft air conditioning system (ACS) is a key system in aircraft, the system conditions monitoring and health management technology is the breakthrough key technical of the domestic civil aircraft operators support. With civil aircraft ACS as the object, combined with ACS existing monitoring parameters system and the route common failure mode, this paper proposes a method of civil aircraft...
Aiming at the accurate prediction of APU residual life in civil aviation, Fusion of historical state performance monitoring data, a method of APU residual life prediction based on proportional hazards model (PHM) is proposed. This method first gives a life prediction algorithm based on PHM. Then, based on the historical performance degradation data and historical failure time data, the genetic parameters...
Aviation maintenance is a critical role of aircraft life cycle operation supports, application of advanced Prognostics and Health Management (PHM) technology to aircraft health monitoring and maintenance being in the research stage, facing lack of engineering practices and data problems. In this paper, the concept of maintenance mode based on PHM is put forward. On the basis of traditional maintenance...
Environmental pollution has adverse consequences on human health and the ecosystem. Among the most dangerous types of pollution is air pollution in urban areas, which has been shown to be strongly linked to higher morbidity and mortality rates. Air pollution can be due to several factors, such as human activities (that produce pollutants such as nitrogen oxides, carbon oxides, and volatile organic...
Air pollution poses disproportionate health hazard in developing countries, due to juxtaposition of industrial units and residences. While excessive emission is routinely detected, enforcement of emission norms remains rare due to present technological limitations in pinpointing sources. To fill this gap, we propose a method of source localization and emission rate estimation via AERMOD-based simulation...
As an important equipment to preheat air and to improve coal-fired power plant boiler efficiency with the heat of boiler tail flue gas, the air preheater's safe and economic operation influences unit efficiency directly. At present, above 80% utility-type unit in domestic uses tri-sectional rotary air preheater. Therefore, the rotary air preheater has become an indispensable auxiliary machinery in...
Prognostic and Health Management (PHM) systems can manage health conditions of airplane real-time. As crucial subsystem of PHM, Aircraft Structural Health Management (ASHM) mainly focus on structural health monitoring and assessment, microstructure fault monitoring and isolation, overload, corrosion monitoring, residual life assessment and so on. It is overwhelmingly difficult for large aircraft structure...
A novel procedure for automated determination of air change rates from measured indoor CO2 concentrations is proposed. The suggested approach builds upon a new algorithm to detect exponential build-up and decay patterns in CO2 concentration time series. The feasibility of the concept is proved with a test run on synthetic data that shows a good reproduction of the previously defined air change distribution...
PM2.5 (particulate matter in the atmosphere with a diameter no more than 2.5 microns) in the air can cause great damage to human beings. It's a great challenge to offer a fine-grained and accurate PM2.5 monitoring service in urban areas as the required facilities are very expensive and huge. Since the PM2.5 has a significant scattering effect on visible light, the large-scale user-contributed image...
This paper deals with the issue on air conditioning energy consumption and system monitoring of different data in building. Various environmental parameters inside the building are changed in real time, while the conventional air conditioning energy consumption forecasting with the load simulation software cannot adapt to these variations. Therefore, the air conditioning energy consumption forecasting...
This paper describes expert systems for the aquatic ecosystem diagnostics including its dynamics in the changing climate and detection of stressful situations when anthropogenic processes are realized in the sea basin. Expert system is based on the monitoring data processing and simulation results that are delivered by series models describing basic ecological, hydrological, hydrochemical and geophysical...
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