CC BY
0
УДК 62
Mac Van Bien, Nguyen Thi Hien, Tong Thi Hanh, Nguyen Ngoc Hoan
Faculty of Electronics and Informatics, College of Industrial Techniques (CIT),
Bac Giang City, Vietnam
INTELLIGENT SYSTEM TO CONTROL TEMPERATURE AND HUMIDITY OF POULTRY INCUBATOR
Abstract
This article discusses the intelligent system to control temperature and humidity of poultry incubator. Temperature and humidity are two very important factors that directly affect the hatching rate of poultry eggs. This device uses the DHT21 ASAIR temperature and humidity sensor to improve the sensitivity of the measurement, and also has a humidity compensation system, and a push-pull fan system to synchronize the temperature and humidity in the environment.
Keywords
intelligent system, temperature sensor, humidity sensor, stepper motor.
Each type of poultry has a slightly different incubation method from incubation temperature to incubation time. The reason for this difference is because each species will have a different incubation temperature, the egg development cycle is also different, the structure of the egg shell is also different, so the incubation method is often not the same. Among these factors, the incubation temperature and humidity of poultry eggs is very important, largely determining the hatching rate of eggs. Therefore, you need to know the standard incubation temperature and humidity of poultry eggs to set it appropriately for each type of egg.
Table 1
Shows the incubation temperature and humidity of common egg types
Egg Type Incubation temperature Incubation humidity
1 Chicken Eggs 37,5oC 40%-60%
2 Duck Eggs 37,1oC 55%-70%
3 Geese Eggs 37,1oC 55%-70%
4 Goose Eggs 37,1oC 55%-70%
5 Quail Eggs 37,3oC 40%-60%
6 Pigeon Eggs 37,3oC 40%-60%
7 Pheasant Eggs 37,5oC 40%-60%
8 Ostrich Eggs 36,4oC 40%-60%
9 Peacock Eggs 37,5oC 40%-60%
According to the data in Table 1, we choose AM2301 sensor to measure the temperature and humidity of the poultry incubator to increase the hatching rate. AM2301 capacitive humidity sensing digital temperature and humidity module is the one that contains the compound has been calibrated digital signal output of the temperature and humidity sensor. Application of a dedicated digital modules collection technology and the temperature and humidity sensing technology, to ensure that the product has high reliability and excellent long-term stability. The sensor includes a capacitive sensor wet components and a high-precision temperature measurement devices, and connected with a high-performance 8-bit microcontroller.
Figure 1 shows the maximum temperature error and error of relative humidity at 25 oC [3].
Figure 1 - the maximum temperature error and error of relative humidity at 25 oC
Figure 1 shows a diagram of the intelligent temperature and humidity control system for incubation of poultry eggs.
Figure 1 - intelligent temperature and humidity control system for incubation of poultry eggs: 1 - sensor DHT21 ASAIR; 2 - humidity compensation system; 3 - heating element; 4 - heat exhaust fan; 5 - fan synchronizes temperature and humidity environment; 6 - egg tray; 7 - incubator; 8 - stepper motor; 9, 10, 11, 12 - buffer amplifier; 13 - computer; 14 - monitor.
The device works as follows: when powered, with the help of the computer, the heating element (3) will work to increase the temperature in the poultry incubator, and at the same time the fan synchronizes temperature and humidity environment (5) will also work. Temperature and humidity in poultry incubator recorded by DHT21 - AM2301 sensor (1), then sent to the computer for processing and the temperature and humidity parameters are displayed on the monitor. If the current humidity does not meet the requirements, the computer will control the humidity compensation system (2) to operate. When the temperature and humidity parameters reach the set value, the computer will control the heating element (3) and humidity compensation system (2) to turn off. In case the heating element cannot be turned off or the temperature in the incubator increases due to the temperature of the poultry eggs, the heat exhaust fan (4) is activated to remove the heat. The stepper motor (8) is set to activate the egg tray (6) rotation after the required time period. During the incubation of poultry eggs, if the humidity drops, the computer will activate the humidity compensation system to work.
Conclusions.
Thus, the proposed intelligent system for controlling the temperature and humidity of poultry egg incubators has increased the hatching rate. Because, the temperature and humidity in the incubator are always maintained stable, the egg turning mechanism operates completely automatically. The advantage of the system is high accuracy, but the system control programming is complex and the cost is high. The system can be use to
control all drying system by changing temperature control program parameters and heating load capacity such as clothes drying system, fruit drying system. References
1. Luu The Vinh (2002). Textbook of Electrical and Electronic Measurement Techniques. Dalat University. [in Vietnamese language]
2. Nguyen Huu Cuong. (2007). Sensor technology. Can Tho University. [in Vietnamese language]
3. https://www.haoyuelectronics.com/Attachment/AM2301/AM2301.pdf
© Mac B.V., Nguyen H.T., Tong H.T., Nguyen H.N., 2024
УДК 62
Mac Van Bien, Le Oinh Giang, Nguyen Van Tung, Tran Ngoc Quang
Faculty of Electronics and Informatics, College of Industrial Techniques (CIT), Bac Giang City, Vietnam
OPTOELECTRONIC SYSTEM FOR MONITORING SMOKE DENSITY DURING SAMPLE COMBUSTION IN A CHAMBER
Abstract
The article considers an optoelectronic system for monitoring smoke density during sample combustion in a chamber. This device contains a system of mirrors to increase the source beam path, which increases the sensitivity of smoke density measurement, and a source modulator, which reduces the noise level and background influence.
Keywords:
smoke emission, photometry, smoke density measurement, optical-electronic system.
Currently, in various areas of human activity, there is a problem of monitoring the smoke content of the environment. The existing devices for monitoring the smoke content of the environment implement the principle of measuring the smoke density during object combustion. To improve the accuracy of measurement, the authors propose to use modulation of the source radiation flux, an optical system of the radiation flux length in the chamber, and a gain correction unit of the optoelectronic path.
The thermal noise voltage dispersion is determined by the Nyquist formula [1]:
VT.N. = 4kTRAf, (1)
where k = 1,38 • 10-23 J • K-1 is Boltzmann constant, T is the ambient temperature, R is the photoresistor resistance, Af is frequency band in which measurements are taken.
Shot noise is explained by the fact that electric current is a flow of particles that fluctuate in time. Flowing through the load resistance RL, the shot noise current creates a noise voltage[1, 3]:
Vs2N. = 2eIoR2LAf, (2)
Generation-recombination noise is caused by the random nature of the generation of current carriers, as well as the random nature of the recombination of these carriers. The dispersion of the generation-recombination noise voltage for photoresistors[1, 3]:
V2 = 4V2. RlRt T"m—1— (3)
Current noise combines several types of noise that are difficult to calculate separately. It depends on the
