Condition And Monitoring Temperature Berbasis Mikrokontroler pada Motor Produksi di PT. Indah Kiat Pulp And Paper Perawang

For maintaning stabilitation of production machines in PT. Indah Kiat Pulp and Paper Perawang, it monitores everyday. Monitoring which is done one of about the temperature. It aims to avoid the damages in production machines because of over temperature. In temperature monitoring, the method is done by companies still based on manually with used thermo mini tool. Monitoring with used thermo mini tool need many times because there are many production machines. Beside that, that all are done in one month, thus the data is not real time. Because of that the writer designed condition and monitoring tool based on microcontroller with used temperature sensor LM35. Microcontroller arduino uno used wireless communication, it used RF 433 Mhz and graphic display used LabView software. The aims to give the real time data, quick and easy in monitoring.The result of the research which had been done stated that the condition and monitoring based on microcontroller in production machines in PT. Indah Kiat Pulp and Paper Perawang had been applied successfull. Percentage error ratio sensor LM35 based on microcontroller with thermo mini tool based on manually 1.02%. Speed of time in taking the data reach 5 second with effective interval connectivity RF 433 Mhz as far as 5 meter

Heartbeat and Temperature Monitoring System for Remote Patients using Arduino

This paper describes the working of a wireless heartbeat and temperature monitoring system based on a microcontroller ATmega328 (arduino uno). Most monitoring systems that are in use in today\u27s world works in offline mode but our system is designed such that a patient can be monitored remotely in real time. The proposed approach consists of sensors which measures heartbeat and body temperature of a patient which is controlled by the microcontroller. Both the readings are displayed in LCD monitor. Wireless system is used to transmit the measured data from the remote location. The heartbeat sensor counts the heartbeat for specific interval of time and estimates Beats per Minute while the temperature sensor measures the temperature and both the data are sent to the microcontroller for transmission to receiving end. Finally, the data are displayed at the receiving end. This system could be made available at a reasonable cost with great effect

HVAC SYSTEM REMOTE MONITORING AND DIAGNOSIS OF REFRIGERANT LINE OBSTRUCTION

A heating, ventilation, and air conditioning (HVAC) system of a building includes a refrigerant loop. A monitoring system for the HVAC system includes a monitoring device installed at the building. The monitoring device is configured to measure a first temperature of refrigerant in a refrigerant line located between a filter - drier of the refrigerant loop and an expansion valve of the refrigerant loop. The monitoring system includes a monitoring server, located remotely from the building. The monitoring server is con figured to receive the first temperature and, in response to the first temperature being less than a threshold, generate a refrigerant line restriction advisory. The monitoring server is configured to, in response to the refrigerant line restriction advisory, selectively generate an alert for transmission to at least one of a customer and an HVAC contractor

RANCANG BANGUN PENGUKUR SUHU TUBUH BERBASIS INTERNET OF THINGS MENGGUNAKAN APLIKASI BLYNK

Measuring body temperature is an important method in monitoring individual health. In this current digital era, the application of the Internet of Things (IoT) in body temperature measurement systems provides various benefits such as real-time monitoring, automatic data collection, and integration with the wider health system. This research aims to design and develop an IoT-based body temperature measuring system that can be used to monitor individual health conditions effectively and efficiently. This system consists of several main components, specifically the MLX90614 temperature sensor, the NodeMCU ESP32 microcontroller, a wireless communication module, and the Blynk application for data storage and analysis. The temperature sensor can detect changes in body temperature with body radiation emitted and detected by infrared in the MLX90614 temperature sensor, while the NodeMCU ESP32 microcontroller functions as a data processor from the sensor before the data is sent via the wireless communication module to the Blynk app. The Blynk app allows storing amounts of data and provides analysis tools to monitor a user's body temperature over time. System testing results show that this device can accurately measure body temperature in the form of spike diagrams and send data to the Blynk application quickly. Users can access their body temperature data through the application integrated with the system, enabling continuous monitoring of body temperature. Therefore, this IoT-based body temperature measurement device is expected to be an effective solution for health monitoring, especially in pandemic situations where regular health monitoring is crucial. The implementation of this system can also be expanded to a larger scale, such as in healthcare facilities, schools, and workplaces, to enhance early detection and response to health conditions

Enhancement of reliability in condition monitoring techniques in wind turbines

The majority of electrical failures in wind turbines occur in the semiconductor components (IGBTs) of converters. To increase reliability and decrease the maintenance costs associated with this component, several health-monitoring methods have been proposed in the literature. Many laboratory-based tests have been conducted to detect the failure mechanisms of the IGBT in their early stages through monitoring the variations of thermo-sensitive electrical parameters. The methods are generally proposed and validated with a single-phase converter with an air-cored inductive or resistive load. However, limited work has been carried out considering limitations associated with measurement and processing of these parameters in a three-phase converter. Furthermore, looking at just variations of the module junction temperature will most likely lead to unreliable health monitoring as different failure mechanisms have their own individual effects on temperature variations of some, or all, of the electrical parameters. A reliable health monitoring system is necessary to determine whether the temperature variations are due to the presence of a premature failure or from normal converter operation. To address this issue, a temperature measurement approach should be independent from the failure mechanisms. In this paper, temperature is estimated by monitoring an electrical parameter particularly affected by different failure types. Early bond wire lift-off is detected by another electrical parameter that is sensitive to the progress of the failure. Considering two separate electrical parameters, one for estimation of temperature (switching off time) and another to detect the premature bond wire lift-off (collector emitter on-state voltage) enhance the reliability of an IGBT could increase the accuracy of the temperature estimation as well as premature failure detection

Temperature robust PCA based stress monitoring approach

In this paper, a guided wave temperature robust PCA-based stress monitoring methodology is proposed. It is based on the analysis of the longitudinal guided wave propagating along the path under stress. Slight changes in the wave are detected by means of PCA via statistical T2 and Q indices. Experimental and numerical simulations of the guided wave propagating in material under different temperatures have shown significant variations in the amplitude and the velocity of the wave. This condition can jeopardize the discrimination of the different stress scenarios detected by the PCA indices. Thus, it is proposed a methodology based on an extended knowledge base, composed by a PCA statistical model for different discrete temperatures to produce a robust classification of stress states under variable environmental conditions. Experimental results have shown a good agreement between the predicted scenarios and the real onesPostprint (author's final draft

Integrated dynamic and thermography investigation of Mallorca cathedral

An integrated investigation of engineering archaeometry was carried out using dynamic identification, dynamic monitoring and Infra-Red (IR) thermography for the study of the dynamic behavior of Mallorca cathedral in Spain. The cathedral is a large historical masonry structure built during 14-16th c. Dynamic identification and monitoring allowed the capturing of eight natural frequencies of the cathedral. IR thermography was used as a complementary inspection technique in the context of a continuous monitoring. Usually, IR thermography is used punctually for the inspection of a part of an inspected structure. Here an alternative was tried as the IR camera was installed for two two-weeks periods in the winter and in the summer of 2011 to monitor the stone surface temperature of a large portion of the cathedral. The correlation between the cathedral natural frequencies and the stone surface temperature of some selected structural elements was investigated and compared with the correlation with the external and the internal temperatures. It was found that the correlation with stone surface temperature was lower than that with external temperature. The study allowed a better understanding of the influence of temperature changes on the structure’s dynamic behavior.Peer ReviewedPostprint (published version

A microprocessor based, multi-channel low-temperature monitoring system

A multi-channel low-temperature monitoring system and its design considerations are presented. The system is microprocessor based and specially designed to interface thermoresistive sensors in cryogenic experiments. The system can be easily expanded to accept any type of physical transducer and to perform other output functions, ie control functions

Optical nanofiber temperature monitoring via double heterodyne detection

Tapered optical fibers (nanofibers) whose diameters are smaller than the optical wavelength are very fragile and can be easily destroyed if excessively heated by energy dissipated from the transmitted light. We present a technique for monitoring the nanofiber temperature using two-stage heterodyne detection. The phase of the heterodyne output signal is determined by that of the transmitted optical field, which, in turn, depends on the temperature through the refractive index. From the phase data, by numerically solving the heat exchange equations, the temperature distribution along the nanofiber is determined. The technique is applied to the controlled heating of the nanofiber by a laser in order to remove rubidium atoms adsorbed on its surface that substantially degrade its transmission. Almost 90% of the nanofiber's original transmission is recovered