scholarly journals Supervisory System For Monitoring, Control And Estimating Thermal Comfort For Broiler and Laying Hens Production Sheds

2020 ◽  
Vol 8 (3) ◽  
pp. 316-331
Author(s):  
Mario Mollo Neto ◽  
Mariana Matulovic ◽  
Paulo Sérgio Barbosa dos Santos
Keyword(s):  
Thermal Comfort ◽  
Real Time ◽  
Laying Hens ◽  
Production Environment ◽  
Supervisory System ◽  
Temperature And Humidity ◽  
Humidity Index ◽  
Automatic Activation ◽  
And Control ◽  
Productivity And Competitiveness

This research aims to promote the project for the construction of software, firmware, and micro-controlled hardware, which together allow the automatic control of the temperature and humidity index (THI) in real-time the intensive production environment in poultry and laying hens production houses, thus avoiding productive losses due to the stress to which the birds are subjected. This system aims, from the information from a set of sensors, connected to a microcontroller acquisition and control board, to infer the temperature and humidity index from the measured climatic variables, to enable the corresponding activation of electronic interfaces with electric actuators, for the automatic activation of ventilation devices, humidification and curtain actuation and the lighting of production houses, keeping the environmental conditions of the house within a convenient range of temperature and relative humidity to ensure thermal comfort and thus avoiding bird stress. Thus, helping to mitigate production losses and facilitating managers real-time monitoring of the shed to achieve greater productivity and competitiveness.

scholarly journals DETERMINAÇÃO DO ITU – ÍNDICE DE TEMPERATURA E UMIDADE DA REGIÃO DE ARAGUAÍNA-TO PARA AVALIAÇÃO DO CONFORTO TÉRMICO DE BOVINOS LEITEIROS / DETERMINATION OF ITU - TEMPERATURE AND HUMIDITY INDEX OF THE REGION OF ARAGUAÍNA-TO FOR THE EVALUATION OF THE THERMAL COMFORT OF MILK CATTLE

2020 ◽  
Vol 6 (9) ◽  
pp. 69254-69258
Author(s):  
Clauber Rosanova ◽  
Geovanne Ferreira Rebouças ◽  
Mírian das Mercês Pereira da Silva ◽  
Douglas Messias Lamounier Camargos Rezende ◽  
Alysson Soares da Rocha ◽  
...  
Keyword(s):  
Thermal Comfort ◽  
Temperature And Humidity ◽  
Humidity Index

scholarly journals Effect of the Spatial Distribution of the Temperature and Humidity Index in a New Zealand White Rabbit House on Respiratory Frequency and Ear Surface Temperature

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1657
Author(s):  
Maria Alice Junqueira Gouvêa Silva ◽  
Patrícia Ferreira Ponciano Ferraz ◽  
Luana Mendes dos Santos ◽  
Gabriel Araújo e Silva Ferraz ◽  
Giuseppe Rossi ◽  
...  
Keyword(s):  
New Zealand ◽  
Surface Temperature ◽  
Thermal Environment ◽  
Zealand White Rabbit ◽  
Respiratory Frequency ◽  
Dew Point ◽  
Kriging Interpolation ◽  
Production Environment ◽  
Temperature And Humidity ◽  
Humidity Index

The objective of this study was to characterize and evaluate the temperature and humidity index (THI) of New Zealand white (NZW) rabbits kept in a rabbit house using geostatistical techniques. Furthermore, we sought to evaluate its relationship with respiratory frequency (RF) and ear surface temperature (EST). The experiment was conducted at the Federal University of Lavras, Brazil. A total of 52 NZW rabbits were used. For the characterization of the thermal environment, the dry bulb temperature (tdb, °C), relative humidity (RH, %), and dew point temperature (tdp, °C) were collected at 48 points in the rabbit house at 6:00 a.m., 12:00 p.m., and 6:00 p.m. for seven days. The RF and EST of the animals was monitored. Subsequently, the THI was calculated and the data were analyzed using geostatistical tools and kriging interpolation. In addition, the RF and EST data were superimposed on the rabbit house’s THI data maps. The magnitude of the variability and structure of the THI inside the rabbit house were characterized and the heterogeneity was visualized. Critical THI points inside the rabbit house and in locations where animals with high RF and ESTs were housed were identified, thus providing information about improving the production environment.

scholarly journals The Information Predictive Model of Creating Temperature and Humidity Conditions in Cow Barns

2021 ◽  
Vol 31 (2) ◽  
pp. 241-256
Author(s):  
Valeryij F. Vtoryi ◽  
Sergei V. Vtoryi ◽  
Vladislav V. Gordeev
Keyword(s):  
Predictive Model ◽  
Real Time ◽  
Measuring System ◽  
Leningrad Region ◽  
Data Recording ◽  
Indoor Climate ◽  
Temperature Humidity Index ◽  
Study Results ◽  
Temperature And Humidity ◽  
Humidity Index

Introduction. Information-predictive modeling is an effective tool for optimizing the indoor climatic variables to make full use of cow potential. Noncompliance with barn climate requirements may result in 10–30% lower lactation capacity. The research aimed at creating an information model of indoor climate formation based on experimental findings. Materials and Methods. A 24-hour measuring system of relevant climate variables with a 10-minutes data recording interval was designed. It included nine sensor units, three data recording/storing devices and a common power unit. Measurements took place in a dairy cow barn for 200 head in the Leningrad Region. Results. According to the summer study results, certain areas in the cow barn at high relative humidity had Temperature Humidity Index >75, i.e. were unfavorable for animals. This period may last up to 18 hours a day. In the daytime at Temperature Humidity Index >80, the indoor environment might become critical and be accompanied by a drastic decrease in milk cow productivity. Correlation models for temperature conditions in a cow barn are obtained and their dependence on indoor and outdoor temperature and air humidity are calculated. Discussion and Conclusion. An information predictive model was created to describe the formation of temperature and humidity conditions inside cow barns, depending on weather conditions. Under constant real-time database updating, the model allows monitoring the temperature and humidity in cow barns and forecasting these variables for the next few days. The relevant data are visualized in real-time on monitors and information panels for personnel and specialists supporting the timely managerial decisions to prevent critical situations associated with overheating or hypothermia of animals.

scholarly journals Environment in poultry production covered with thermal and aluminum roofing tiles

2015 ◽  
Vol 35 (2) ◽  
pp. 206-214
Author(s):  
FERNANDO G. DE OLIVEIRA ◽  
WANESSA M. GODOI ◽  
ROBERTA PASSINI
Keyword(s):  
Thermal Comfort ◽  
Thermal Environment ◽  
Radiant Heat ◽  
Poultry Production ◽  
Thermal Indices ◽  
Significance Level ◽  
Temperature And Humidity ◽  
Humidity Index ◽  
The Difference ◽  
Globe Temperature

Brazil is a country of tropical climate, a fact that hinders the poultry production in the aspect of thermal comfort. Thus, we aimed to evaluate the thermal environment in commercial poultry houses with different covers during the months of December 2012 to May 2013, in the municipality of Rio Verde, Goiás. The experimental design was completely randomized in split plots with factorial arrangement of treatments 2x3, being two shed models (thermal and aluminum roof tiles) and three sections within each shed (initial, central and final) for 182 days, having the days as replicates. The thermal environment was assessed through thermal comfort indices: Temperature and Humidity Index, Black Globe Temperature and Humidity Index, Radiant Heat Load and Enthalpy. The data was analyzed by SISVAR 5.1., through the analysis of variance, the Scott Knott test used to compare the means, considering a significance level of 1%. The results showed a significant statistical difference between the sheds and the points assessed (P < 0.05). The thermal shed had the lowest values for the environmental variables (Dbt and Bgt) and thermal indices studied, but larger values for the RH compared to the shed with aluminum covering. The use of thermal covers minimizes the difference in temperature range throughout various times of the day, being at 14:00 o'clock the prominence time to others.

Microstructural investigation of surface roughness in MBE-grown AlAs

1995 ◽  
Vol 53 ◽  
pp. 454-455
Author(s):  
R. Rajesh ◽  
R. Droopad ◽  
C. H. Kuo ◽  
R. W. Carpenter ◽  
G. N. Maracas
Keyword(s):  
Thin Film ◽  
Real Time ◽  
Growth Control ◽  
Native Oxide ◽  
Effusion Cell ◽  
Surface Oxide Layer ◽  
Microstructural Investigation ◽  
Mbe Growth ◽  
Film Substrate ◽  
And Control

Knowledge of material pseudodielectric functions at MBE growth temperatures is essential for achieving in-situ, real time growth control. This allows us to accurately monitor and control thicknesses of the layers during growth. Undesired effusion cell temperature fluctuations during growth can thus be compensated for in real-time by spectroscopic ellipsometry. The accuracy in determining pseudodielectric functions is increased if one does not require applying a structure model to correct for the presence of an unknown surface layer such as a native oxide. Performing these measurements in an MBE reactor on as-grown material gives us this advantage. Thus, a simple three phase model (vacuum/thin film/substrate) can be used to obtain thin film data without uncertainties arising from a surface oxide layer of unknown composition and temperature dependence.In this study, we obtain the pseudodielectric functions of MBE-grown AlAs from growth temperature (650°C) to room temperature (30°C). The profile of the wavelength-dependent function from the ellipsometry data indicated a rough surface after growth of 0.5 μm of AlAs at a substrate temperature of 600°C, which is typical for MBE-growth of GaAs.

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

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