scholarly journals Tetra-parameter Fish Feeding Machine

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Water Temperature ◽  
Water Flow ◽  
Temperature Sensor ◽  
Text Message ◽  
Flow Sensor ◽  
Fish Feeding ◽  
Sensor Temperature ◽  
Commercial Feeds ◽  
And Behavior

This study developed an automated machine that automatically controls the feeding routine of fish by checking four parameters that will serve as a prerequisite before dispensing the required amount of commercial feeds. The parameters to be checked are time, precipitation, the water temperature of the pond, and behavior of the fishes. The machine is also capable of notifying the owner or caretaker via text message if fishes have been fed successfully or not and if the level of the feeds is low. The machine utilizes sensors, namely a raindrop sensor, temperature sensor, and water flow sensor in which data are gathered through the aid of a microcontroller. After undergoing several trials, it was revealed that the fish feeding machine was able to implement the capabilities of the manual process of feeding done by a fish farmer. It also dispensed the required weight of feeds on time after satisfying the parameters. The machine was also reliable in terms of sending notifications to the owner through text message since results convey that they were received within 10 seconds if the signal is fine.

Design of Heat Metering System Based on MCS-51

2011 ◽  
Vol 130-134 ◽  
pp. 734-737
Author(s):  
Xue Zhang ◽  
Wen Gang Chen
Keyword(s):  
Temperature Sensor ◽  
Flow Sensor ◽  
Single Chip ◽  
Heating Systems ◽  
Heat Metering ◽  
Heat Quantity ◽  
Single Chip Microcontroller ◽  
Sensor Temperature

The heat metering system is one of the key facilities to reform the heating systems of city and to charge according to heat quantity consumption. The design of heat metering system based on mcs-51 includes two sections--hardware and software. The hardware section is composed of flow sensor, temperature sensor and single-chip microcontroller (SCM for short). The system can calculate heat quantity intelligently, so the users pay the actual heat quantity consumption.

Water Temperature Control Using PID Control System Based on LabVIEW

2016 ◽  
Vol 4 (2) ◽  
pp. 35-46
Author(s):  
Ari Ramadhani
Keyword(s):  
Water Temperature ◽  
Pid Control ◽  
Temperature Sensor ◽  
Pid Controller ◽  
Current Flow ◽  
Electrical Energy ◽  
Heating Process ◽  
Water Heater ◽  
Digital Thermometer ◽  
Flow Through

Abstract - Automatic system have grown widespread across all sector so do water heater. Traditionally, heating water is done by utilizing fire as heat source. As the growing of technology, the heating process could be done by manipulating electrical energy by convert it to heat. Electrical energy is flown to a metal rod that contact directly with the water which increase the water temperature. On some case, appropiate water temperature is needed. Altough, a thermometer is needed to read the actual temperature as a feedback value for the system and a system that can control the electricity current flow through the heater that the heat produced is linear to the current flow. With implementing microcontroller as a process node for generating PWM signal, this problem can be solved. Also, Labview is needed as an interface for monitoring and bursting an output which have been processed by Proportional, Integral, and Devivative (PID) controller to producing accurate and stable heat. Based on the results of testing, the system is able to provide a rapid response to any changes that occur, both changes in set-point and changes in water temperature (actual value). Another test is done by comparing the temperature value detected by the temperature sensor in this device with an external digital thermometer placed in the same place, and from some of the tests the temperature value detected by the temperature sensor in this device has a difference of ± 0.19 ℃ with a digital thermometer. Keyword : Water Heater, Thermometer, Microcontroller, LabView, PID.

scholarly journals Experimental Investigation on Improvement of Wet Cooling Tower Efficiency with Diverse Packing Compaction Using ANN-PSO Algorithm

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 167
Author(s):  
Hasan Alimoradi ◽  
Madjid Soltani ◽  
Pooriya Shahali ◽  
Farshad Moradi Kashkooli ◽  
Razieh Larizadeh ◽  
...  
Keyword(s):  
Neural Network ◽  
Water Temperature ◽  
Water Flow ◽  
Flow Rate ◽  
Cooling Tower ◽  
Air Flow ◽  
Water Flow Rate ◽  
Pso Algorithm ◽  
Outlet Temperature ◽  
Air Flow Rate

In this study, a numerical and empirical scheme for increasing cooling tower performance is developed by combining the particle swarm optimization (PSO) algorithm with a neural network and considering the packing’s compaction as an effective factor for higher accuracies. An experimental setup is used to analyze the effects of packing compaction on the performance. The neural network is optimized by the PSO algorithm in order to predict the precise temperature difference, efficiency, and outlet temperature, which are functions of air flow rate, water flow rate, inlet water temperature, inlet air temperature, inlet air relative humidity, and packing compaction. The effects of water flow rate, air flow rate, inlet water temperature, and packing compaction on the performance are examined. A new empirical model for the cooling tower performance and efficiency is also developed. Finally, the optimized performance conditions of the cooling tower are obtained by the presented correlations. The results reveal that cooling tower efficiency is increased by increasing the air flow rate, water flow rate, and packing compaction.

Intelligent Thermometer Design Based on SCM

2013 ◽  
Vol 433-435 ◽  
pp. 1563-1566
Author(s):  
Jian Lin Zhang
Keyword(s):  
Data Collection ◽  
System Design ◽  
Temperature Sensor ◽  
Embedded Software ◽  
Excellent Performance ◽  
Display Module ◽  
Sensor Module ◽  
Lcd Display ◽  
Processing Module ◽  
Sensor Temperature

An intelligent thermometer system design is presented in this paper. There are temperature sensor module, data collection module, data processing module, keyboard number tube module, voice module and LCD display module in this system. Due to excellent performance of temperature sensor, temperature sensor is used in system to obtain the temperature, transform the voltage, amplify OP precisely, and get 12 bits accuracy of samples. In order to make the system interface friendly, embedded software is developed to realize such functions as alarm temperature settings, LED screen display, audio playback and so on.

scholarly journals Design and Development of Water Distribution Monitoring System in Regional Drinking Water Companies (PDAM) Based On Internet Of Things

2021 ◽  
Vol 2111 (1) ◽  
pp. 012024
Author(s):  
Efrizon ◽  
M. Irmansyah ◽  
Era Madona ◽  
N Anggara ◽  
Yultrisna
Keyword(s):  
Internet Of Things ◽  
Water Level ◽  
Water Flow ◽  
Distribution System ◽  
Water Distribution ◽  
Water Discharge ◽  
Flow Sensor ◽  
Sensor Reading ◽  
Water Companies ◽  
Monitor Data

Abstract The purpose of this study is to create a prepaid PDAM clean water distribution system using a microcontroller based on the Internet of Things (IoT). The hardware used to realize the system consists of ultrasonic sensors, water flow sensors, relays, LCD buzzers and Arduino. ESP 8266 01 for delivery to the Thingspeak app. From the test results obtained HC-SR04 ultrasonic sensor reading error occurs when the water level is low and too high, the maximum measurable water level is 95%. When calculating the comparison between the water discharge that is read by the sensor and that measured by the measuring cup, the results are always not the same. The error when testing the water flow sensor at the water level is less than 49% this is influenced by the speed of the water fired by the pump, where the pump will be under low pressure when the water level is below that value. The system can monitor data readings from the water flow sensor using the ESP8266 monitored on the thinkspeak web server using a smartphone. Overall the tool can function well.

scholarly journals Automatic Liquid Filling Machine using Flow Sensor and Arduino Pro Mini

2020 ◽  
Vol 1 (1) ◽  
pp. 27-31
Author(s):  
Rahmad Hidayat ◽  
Handayani Saptaji Winahyu
Keyword(s):  
Flow Sensor ◽  
Design Stage ◽  
Liquid Volume ◽  
Unit Testing ◽  
Requirements Definition ◽  
Accuracy Measurement ◽  
Testing Stage ◽  
Start Button ◽  
Sensor Temperature ◽  
Small Industries

The Small Industries Enterprise (SME), which is especially involved in the liquid filling industry (such as mineral water, tea, liquid milk, juice, etc.), needs some device that has the ability to measure liquid automatically and accurately into some container. Based on the 'Water Fall' method, this study carries out a procedure for making compact and efficient tools ('requirements definition' stage), using a keypad start button, flow sensor, temperature sensor, fan, buzzer, LCD 1602, relay driver ('system & software design' stage), implement a schematic drawing of the circuit and install all hardware inside the casing ('implementation and unit testing' stage), install accessories, set parameters and volume target ('integration and system testing ' stage) and re-calibrate the device ('operation and maintenance' stage). After the measurement experiment, we got that Fillco (the name of the device) has a bigger error for measurement below 1000 ml (0.6-15%) and better accuracy measurement for targeted volume upper than 1000 ml (0.04-0.20%). Fillco also able to memorize and reset liquid volume.

scholarly journals Development of a foraging model framework to reliably estimate daily food consumption by young fishes

2017 ◽  
Vol 74 (10) ◽  
pp. 1668-1681 ◽  
Author(s):  
David Deslauriers ◽  
Alex J. Rosburg ◽  
Steven R. Chipps
Keyword(s):  
Water Temperature ◽  
Food Consumption ◽  
Prey Density ◽  
Handling Time ◽  
Prey Type ◽  
Daily Consumption ◽  
Model Framework ◽  
Fish Feeding ◽  
Daily Food Consumption ◽  
Daily Food

We developed a foraging model for young fishes that incorporates handling and digestion rate to estimate daily food consumption. Feeding trials were used to quantify functional feeding response, satiation, and gut evacuation rate. Once parameterized, the foraging model was then applied to evaluate effects of prey type, prey density, water temperature, and fish size on daily feeding rate by age-0 (19–70 mm) pallid sturgeon (Scaphirhynchus albus). Prey consumption was positively related to prey density (for fish >30 mm) and water temperature, but negatively related to prey size and the presence of sand substrate. Model evaluation results revealed good agreement between observed estimates of daily consumption and those predicted by the model (r2 = 0.95). Model simulations showed that fish feeding on Chironomidae or Ephemeroptera larvae were able to gain mass, whereas fish feeding solely on zooplankton lost mass under most conditions. By accounting for satiation and digestive processes in addition to handling time and prey density, the model provides realistic estimates of daily food consumption that can prove useful for evaluating rearing conditions for age-0 fishes.

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