scholarly journals A new environmental monitoring system for silkworm incubators

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 248
Author(s):  
Alejandra Duque-Torres ◽  
Carlos Rodriguez-Pabon ◽  
Juan Ruiz-Rosero ◽  
Giselle Zambrano-Gonzalez ◽  
Martha Almanza-Pinzon ◽  
...  

Silk is known as the queen of textiles due to its softness, durability, and luster. This textile is obtained from cocoons spun by larvae known as the silkworm. The combined effect of both temperature and humidity, determines the satisfactory growth of the silkworms and the production of good quality cocoons. For that rea- son, we propose a new prototype for silkworm incubators that monitors environmental conditions, created with Raspberry Pi due to its capabilities, features, and low cost. The prototype monitors the temperature, humidity, and luminosity in a silkworm incubator. The monitoring data are collected and saved on file hosting service, Google Drive, for subsequent analysis. Preliminary tests were gathered using the silkworm incubator of University of Cauca, Colombia.

2020 ◽  
Vol 11 (4) ◽  
pp. 57-71
Author(s):  
Qiuxia Liu

Using multi-sensor data fusion technology, ARM technology, ZigBee technology, GPRS, and other technologies, an intelligent environmental monitoring system is studied and developed. The SCM STC12C5A60S2 is used to collect the main environmental parameters in real time intelligently. The collected data is transmitted to the central controller LPC2138 through the ZigBee module ATZGB-780S5, and then the collected data is transmitted to the management computer through the GPRS communication module SIM300; thus, the real-time processing and intelligent monitoring of the environmental parameters are realized. The structure of the system is optimized; the suitable fusion model of environmental monitoring parameters is established; the hardware and the software of the intelligent system are completed. Each sensor is set up synchronously at the end of environmental parameter acquisition. The method of different value detection is used to filter out different values. The authors obtain the reliability of the sensor through the application of the analytic hierarchy process. In the analysis and processing of parameters, they proposed a new data fusion algorithm by using the reliability, probability association algorithm, and evidence synthesis algorithm. Through this algorithm, the accuracy of environmental monitoring data and the accuracy of judging monitoring data are greatly improved.


2021 ◽  
Vol 102 ◽  
pp. 478-482
Author(s):  
Jorge Hernández López ◽  
Álvaro Santos Romo ◽  
Daniel Coronado Molina ◽  
Gerardo Álvarez Hernández ◽  
Ángel Benjamín Gutiérrez Cureño ◽  
...  

2019 ◽  
Vol 6 (2) ◽  
pp. 3024-3030 ◽  
Author(s):  
Juan Botero-valencia ◽  
Luis Castano-Londono ◽  
David Marquez-Viloria ◽  
Mateo Rico-Garcia

2018 ◽  
Vol 6 (1) ◽  
pp. 23
Author(s):  
B. H. Sudantha ◽  
K. M. H. K. Warnakulasooriya ◽  
Y. P. Jayasuriya ◽  
G. R. Ratnayaka ◽  
P. K. S. Mahanama ◽  
...  

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