scholarly journals A Smart Building Resource Prediction, Navigation and Management System Supported by Radio Tomography and Computational Intelligence

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8260
Author(s):  
Michał Styła ◽  
Przemysław Adamkiewicz ◽  
Tomasz Cieplak ◽  
Stanisław Skowron ◽  
Artur Dmowski ◽  
...  
Keyword(s):  
Computational Intelligence ◽  
Asset Management ◽  
Management System ◽  
Imaging Techniques ◽  
Environmental Data ◽  
Control Panel ◽  
Personal Area Networks ◽  
Centralized Control ◽  
Smart Building

This article presents research results on a smart building prediction, navigation and asset management system. The main goal of this work was to combine all comfort subsystems, such as lighting, heating or air conditioning control, into one coherent management system supported by navigation using radio tomographic imaging techniques and computational intelligence in order to improve the building’s ability to track users and then maximize the energy efficiency of the building by analyzing their behavior. In addition, the data obtained in this way were used to increase the quality of navigation services, improve the safety and ergonomics of using the room access control system and create a centralized control panel enriched with records of the working time of individual people. The quality of the building’s user habit learning is ensured by a network of sensors collecting environmental data and thus the setting values of the comfort modules. The advantage of such a complex solution is an increase in the accuracy of navigation services provided, an improvement in the energy balance, an improvement in the level of safety and faster facility diagnostics. The solution uses proprietary small device assemblies with implementation of popular wireless transmission standards such as Bluetooth, Wi-Fi, ZigBee or Z-Wave. These PANs (personal area networks) are used to update and transmit environmental and navigation data (Bluetooth), to maintain the connection of other PANs to the master server (Wi-Fi) and to communicate with specific end devices (ZigBee and Z-Wave).

Asset Inspection Management System as a Reliable Inspection/ Monitoring Tool

2020 ◽  
Vol 78 (12) ◽  
pp. 1276-1285
Author(s):  
Shibu John A
Keyword(s):  
Asset Management ◽  
Management System ◽  
Balance Sheet ◽  
Integrity Assessment ◽  
Material Evaluation ◽  
The People ◽  
Physical Assets ◽  
Asset Management System ◽  
On Time Delivery ◽  
Capital Intensive

Enterprise asset management (EAM) systems are used by asset owners and/or operators to manage the maintenance of their physical assets. These assets, including equipment, facilities, vehicles, and infrastructure, need maintenance to sustain their operations. An EAM system provides the means to have less unplanned downtime and extended asset longevity, which offers clear business benefits that improve the profit and loss statement and balance sheet. Particularly for capital-intensive industries, like drilling and exploration, the failure of on-time delivery of critical equipment or processes is disruptive and costs nonproductive time and customer satisfaction. Organizations understand these issues and employ an appropriate asset management system to engineer their asset maintenance and management. An EAM system is needed to manage the people, assets/equipment, and processes. EAMs are used to plan, optimize, execute, and track the needed maintenance activities with associated priorities, skills, materials, tools, and information. Similarly, nondestructive testing (NDT) is used as a tool for integrity assessment of assets in drilling and exploration. The main advantage of using NDT is that the item’s intended use or serviceability is not affected. The selection of a specific technique should be based on knowledge and skills that include design, material processing, and material evaluation. Validating the purpose of this paper, we emphasize the importance of optimizing the asset utilization and serviceability to enhance overall efficiency by integrating EAM software that manages assets, the operation management system (OMS) controlling the processes, and asset inspection management systems (AIMSs).

Recount pirarucu: a method for evaluating the quality of the pirarucu counts.

2011 ◽  
Vol 7 (1) ◽  
pp. 29-40 ◽  
Author(s):  
Lorena Candice de Araújo Andrade ◽  
Ellen Silvia Ramos Amaral ◽  
Nataluzo Balbino da Silva ◽  
Helder Lima de Queiroz
Keyword(s):  
Management System ◽  
Main Parameter ◽  
Stock Assessment ◽  
Counting Method ◽  
Technical Staff

The pirarucu counting method is a simplified stock assessment that has been used as the main parameter for establishing the annual fishing quotas in the management system of the Mamirauá and Amanã Reserves. In spite of the method’s directness, considering the recent expansion of managed fisheries, we cannot confirm that the counters thoroughly obey the original methodology. There is a concern of a technical nature, as the results of the counts directly influence the fishing quotas, and the lack of technical supervision or the inadequate application of the method are factors that can compromise the management system as a whole. This study aims to assess the counts that took place in six fishing environments of the Jarauá Sector, Mamirauá Reserve, and in four fishing environments of the area of the Pantaleão Fishing Agreement Complex, Amanã Reserve. We verified the consistency of the information resulting from the count, presented to the technical staff. To do this, we conducted recounts of juvenile and adult pirarucus in the same environments. In the Jarauá Sector we found significant differences in the counting results from Samaumerinha do Tucuxi and Curuçá do Centro. In Comprido do Maciel we found differences regarding the number of counted areas. In the sampled environments from the Pantaleão region we did not find significant differences between the counts. The results highlight the importance of creating assessment mechanisms for the counts, for the purpose of preventing possible alterations in the results that might influence the fishing quotas without a biological reason for justifying such quotas.

ADAPTAÇÃO E APLICAÇÃO DE MÉTODOS DE INTELIGÊNCIA COMPUTACIONAL PARA A ESTIMAÇÃO DE UMA FONTE DE POLUENTES EM ESTUÁRIOS

Engevista ◽  
2014 ◽  
Vol 17 (2) ◽  
pp. 152
Author(s):  
Radael De Souza Parolin ◽  
Pedro Paulo Gomes Watts Rodrigues ◽  
Antônio J. Silva Neto
Keyword(s):  
Computational Intelligence ◽  
Computational Models ◽  
Source Position ◽  
Iterative Search ◽  
Contaminant Source ◽  
Resources Management ◽  
Search Spaces ◽  
Grid Points ◽  
Computational Intelligence Methods

The quality of a given water body can be assessed through the analysis of a number of indicators. Mathematical and computational models can be built to simulate the behavior of these indicators (observable variables), in such a way that different scenarios can be generated, supporting decisions regarding water resources management. In this study, the transport of a conservative contaminant in an estuarine environment is simulated in order to identify the position and intensity of the contaminant source. For this, it was formulated an inverse problem, which was solved through computational intelligence methods. This approach required adaptations to these methods, which had to be modified to relate the source position to the discrete mesh points of the domain. In this context, two adaptive techniques were developed. In one, the estimated points are projected to the grid points, and in the other, points are randomly selected in the iterative search spaces of the methods. The results showed that the methodology here developed has a strong potential in water bodies’ management and simulation.

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