scholarly journals Teknik Interpolasi Bikubik untuk Memperbesar Gambar Hasil Pemetaan Suhu dari Sensor MLX90640 pada Praktikum Mikrokontroller

2021 ◽  
Vol 3 (1) ◽  
pp. 36-46
Author(s):  
Mochammad Darwis

The occurrence of various disruptions and damage to equipment and electrical installations begins with a significant temperature increase in it. The temperature increasing in electrical equipment and installations will also increase the consumption of energy or power required. Previous technology used a temperature sensor and current sensor which had to be installed in the environment to be monitored. The temperature measurement system without touching the surface which is measured using infrared rays is a new breakthrough that really helps maintenance and repair. Also with the existence of a temperature sensor arranged in an array, it can map the existing temperature so that it can provide a better picture for analyzing the symptoms that  occur, compared  to using a temperature sensor that measures one point only. A temperature imaging camera is currently very expensive, making procurement a bit difficult for laboratories dealing with electrical equipment and installations. In this research, we will try to make an inexpensive temperature imaging camera using the MLX90640 sensor and the ESP32 microcontroller. Bicubic interpolation is used to  enlarge the resulting image obtained  by the MLX90640 sensor. The MATLAB program is   used to simulate and create an overall temperature imaging camera system. Tested and compared with two other interpolation methods to ensure that bicubic interpolation can produce better magnified images.

Author(s):  
Anhua Peng ◽  
Chengwen Liu ◽  
Le Yang

AbstractFiber Bragg gratings are widely used in electrical equipment monitoring, structural health monitoring, power system fault monitoring and other actual detection occasions due to the unique advantages of anti-electromagnetic interference, low fusion loss, high sensitivity, small size, and easy distributed measurement. Fiber grating has been widely used in actual detection occasions such as electrical equipment monitoring, structural health monitoring, and power system fault monitoring. The temperature measurement of the motor based on fiber grating sensing technology not only has strong anti-electromagnetic interference ability, but also can realize multi-point distributed temperature measurement. The research of fiber grating temperature measurement system for intelligent electrical equipment is of great significance. This article mainly studies the optical fiber grating temperature measurement system of intelligent electrical equipment. This paper designs the temperature measurement system architecture, including data acquisition layer, data monitoring layer and remote monitoring layer. Complete the system design from two aspects: hardware design and software design. In the hardware part, the functions of the temperature sensor module transmission system, signal demodulation system, PLC and host computer are analyzed. Use FTM3501 fiber temperature converter is used to realize the automatic electrical fiber grating. Experimental results show that the thermometer has alarm and display analysis functions. The measurement uncertainty is analyzed, and the uncertainty of the calibration result of the fiber Bragg grating temperature sensor is 0.0725 °C; the fault judgment time of the system in this paper does not exceed 4.73 s, while the fault judgment time of the control group is more than 4.73 s. Compared with the control group, it has a faster fault accuracy speed. The system has high measurement accuracy and good stability, can be applied to actual temperature measurement systems, and has certain practical value.


2014 ◽  
Vol 721 ◽  
pp. 523-526
Author(s):  
Xiang Li Wang ◽  
Yu Gui Nian ◽  
Dong Dong Cai

As one of the important parameters for the production process of industry, agriculture and military, temperature can affect the production efficiency, energy efficiency and people’s living standards. The temperature measurement has been widely noted and studied. Firstly, the software can receive the temperature of measuring point, and store the value in the database. Secondly, when the temperature exceeds the specified range, the software will give an alarm. The software can view the historical temperature data and draw the curve of temperature. Finally, the software can query and modify the information of the measuring point, such as number, name, normal temperature range of equipment, etc. Based on the existing research results, this paper describes the design and implement of wireless temperature measurement software for electrical equipment.


2016 ◽  
Vol 249 ◽  
pp. 276-283 ◽  
Author(s):  
Li Xiao ◽  
JunJiang Qian ◽  
Zhenggang Lian ◽  
Zheng Long ◽  
Xiaolong Tang ◽  
...  

2021 ◽  
Author(s):  
Ritchinder R. S. Samrai

This project is concerned with the application of the ZigBee communication standard for implementing a temperature measurement system. Due to ZigBee's low-power and low data rate features, it is ideal for analog sensor systems. Digi's ZigBee devices called XBee are used in this project. The XBee devices meet all the ZigBee standard. The XBee device has the advantage of being programmed with API firmware (application programming interface). XBee's API provides fast and reliable communication between the remote stations and the base station. The remote station has three different modules: power supply, temperature sensor and XBee device. The power supply is designed to output 3.3V. The temperature sensor is designed so that the output stays within the XBee's maximum analog input voltage range of 0V to 1.2V. The XBee device is programmed as a router. The base station has three different modules: Arduino microcontroller, LCD display and XBee device. The Arduino is programmed to receive the analog readings from the XBee device and convert them into temperature readings The temperature readings are displayed on the LCD display. The XBee device is programmed as a coordinator. The design successfully worked for 3 remote stations and 1 base station.


2014 ◽  
Vol 7 (2) ◽  
pp. 1153-1211 ◽  
Author(s):  
A. J. Prata ◽  
C. Bernardo

Abstract. Recent advances in uncooled detector technology now offer the possibility of using relatively inexpensive thermal (7 to 14 μm) imaging devices as tools for studying and quantifying the behaviour of hazardous gases and particulates in atmospheric plumes. An experimental fast-sampling (60 Hz) ground-based uncooled thermal imager (Cyclops), operating with four spectral channels at central wavelengths of 8.6, 10, 11, and 12 μm and one broadband channel (7–14 μm), has been tested at several volcanoes and at two industrial sites, where SO2 was a major constituent of the plumes. This paper presents new algorithms, which include atmospheric corrections to the data and better calibrations to show that SO2 slant column density can be reliably detected and quantified. Our results indicate that it is relatively easy to identify and discriminate SO2 in plumes, but more challenging to quantify the column densities. A full description of the retrieval algorithms, illustrative results and a detailed error analysis are provided. The Noise-Equivalent Temperature Difference (NEΔT) of the spectral channels, a fundamental measure of the quality of the measurements, lies between 0.4–0.8 K, resulting in slant column density errors of 20%. Frame averaging and improved NEΔT's can reduce this error to less than 10%, making a stand-off, day or night operation of an instrument of this type very practical for both monitoring industrial SO2 emissions and for SO2 column densities and emission measurements at active volcanoes. The imaging camera system may also be used to study thermal radiation from meteorological clouds and from the atmosphere.


Author(s):  
Intan Sari Areni ◽  
Ahmad Waridi ◽  
Indrabayu Amirullah ◽  
Christoforus Yohannes ◽  
Armin Lawi ◽  
...  

The remote control system on electrical equipment in the room can be fulfilled through the internet as an IoT (Internet of Things) implementation. All devices managed from one interface, so home appliances management delivered quickly and conveniently. The main contribution in this research is IP based controlling for rooms with control lights and vertical curtains, and also the temperature of the air conditioner (AC) with IoT Technology. The used hardware is Raspberry Pi 3 as a server, Relay, motor stepper, IR led Transmitter, and temperature sensor DS18B20. For implementation, an android application is built by MIT App Inventor 2. The results show that all features function correctly, but each device responds with a different delay value.  Delay time response of a lamp, vertical blind, and AC is up to 1.5 sec, 2.1 sec, and 1.6 sec, respectively.electrical appliances, IoT, controlling system, smart room


2016 ◽  
Vol 12 (04) ◽  
pp. 46
Author(s):  
Pedro José Sousa ◽  
Manuel Rodrigues Quintas ◽  
Paulo Abreu

This work describes the development of an embedded electronic-based monitoring system suitable for cold-storage electrical equipment. The system uses a touchscreen and provides sensors for temperature, relative humidity, electric power consumption and detection of door position. To monitor the electric power, a special purpose current sensor was developed and calibrated. The system adopts a modular architecture using cabled and wireless communications, making it suitable for integration in other logging and alarm generation systems. The system was tested on a home fridge to demonstrate its capabilities.


2014 ◽  
Vol 651-653 ◽  
pp. 543-546
Author(s):  
Xiao Wen Wang

Sensing technology is a rapid development of technology, is one of the main technology of modern information technology, developed countries in recent years the use of sensors in the information society a new understanding and evaluation, and sensor technology has been widely used in various fields. This paper mainly introduces the temperature sensor, pressure sensor, displacement sensor, the principle and application of the current sensor.


2019 ◽  
Vol 7 (1) ◽  
pp. 71-82
Author(s):  
Dimas Okky Anggriawan ◽  
Aidin Amsyar ◽  
Eka Prasetyono ◽  
Endro Wahjono ◽  
Indhana Sudiharto ◽  
...  

Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become important attention  in the power system. According to those problems, this paper proposes a Load Identification using harmonic based on probabilistic neural network (PNN). Harmonic is obtained by experiment using prototype, which it consists of microcontroller and current sensor. Fast Fourier Transform (FFT) method to analyze of current waveform on loads become harmonic load data. PNN is used to identify the type of load. To load identification, PNN is trained to get the new weight. Testing is conducted To evaluate of the accuracy of the PNN from combination of four loads. The results demonstrate that this method has high accuracy to determine type of loads based on harmonic load


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