Papers by Keyword: Monitoring System

Abstract: The development of agricultural technology in Indonesia is increasingly leaning towards modern, intelligent, and precise farming methods. Unmanned Aerial Vehicles (UAVs) have emerged as powerful tools for identifying, monitoring, and verifying agricultural land, yielding impressive results. UAV-based agricultural land monitoring has shown great potential for providing accurate assessments. This research aims to design and test an agricultural land monitoring system VTOL-UAV that utilizes for sensing and monitoring through unmanned aircraft models. The data collected from shooter camera in the form of topographic images used to analyzed agricultural land. The UAV is equipped with an automatic movement system that operates based on sensing technology. The results present the stability performance for all controlling axes is satisfactory. The recorded responses aligning closely with the desired inputs from both the user and the flight control unit which continuously worked to auto-stabilize the UAV. The vibration levels achieved lower than 50 m/s². This low level of vibration suggests that a camera or similar payload could be integrated in future versions without risking performance or stability.

Abstract: Tobacco is one of the most widely cultivated plants in Indonesia, especially in highland areas. Conventional tobacco drying process relies on solar heat. The biggest problem in drying using the sun is erratic weather and also in highland areas, the chance of rainfall is also high. Monitoring system of tobacco drying machines using Internet of Things (IoT) technology is the answer to the problems that occur. By utilizing IoT technology, this tobacco drying machine can be monitored remotely using smartphone or other mobile device. Monitoring that can be done remotely is temperature inside the drying machine, the weight of tobacco during drying, and also On Off state of the drying machine. In this study, monitoring system for tobacco drying machines uses a BUS topology that connects several Arduino nanoas a slave and Arduino mega 2560 as a master. Arduino nanoplays a role in controlling the DS18B20 temperature sensor, load cell, heater relay, and fan relay. Arduino mega as a master acts as a data processing center and main control in the monitoring system of the temabkau drying machine. ESP8266 is used to connect to the internet using wifi. There is simple Blynk application on smartphone as an IoT platform. After some testing done, it turns out that tobacco drying machine has good performance in terms of tobacco weight reduction, down to to 29,97% (load cell) and 30,56% (digital scales). However, internal machine temperature during drying process only reach 42,75° C. Data transmission delay from the serial monitor to Blynk IoT Platform has a poor value based on TIPHON standardization, which is 1.4 seconds. However, data error rate between serial monitor and Blynk is very small, 0,099% for load cell data and 0,28% for temperature sensor data.

Abstract: Cinnamon bark drying machine is one of agricultural technology to dry up the cinnamon bark efficiently. Drying machine monitoring is a system to monitor temperature and weight conditions during the drying process through a smartphone. The dryer monitoring system uses Internet of Things (IoT) technology so that the system can be monitored remotely. The proposed cinnamon bark drying machines uses Arduino Mega2560 as the main microcontroller with 4 Arduino nanoas additional microcontrollers to get star network topology and ESP8266 as a communication device. Loadcell Sensor is used as weight sensor, and DS18B20 is used as temperature sensor. There is simple Blynk application on smartphone as an IoT platform. Based on the test results it can be concluded that the cinnamon bark drying machine monitoring system using IoT technology has good performance and capabilities. It can reduce material weight down to 29,93% for the maximum temperature reached during the drying process is 55 ° C. Transmission delay from the serial monitor to Blynk IoT Platform has a poor value based on TIPHON standardization. The average delay was 1.5 seconds. However, data error rate between serial monitor and Blynk is very small. The average data error rate is 0,21%.

Abstract: This study aims to develop an Internet of Things (IoT) based Battery Management System that monitors battery operation and performance in real-time. They used an Agile Methodology to build a BMS Monitoring System, using the Vue js framework and Laravel. The battery monitoring system provides information on battery temperature, current, and voltage data, essential for monitoring battery conditions below or over limits. The interface is accessible via desktop and mobile devices. This research resulted in real-time temperature (temperature on sensor 1, temperature on sensor 2, temperature on sensor 3, and maximum temperature limit) , current (maximum current limit, current total, and minimum current limit) , and voltage (maximum voltage limit, total voltage, and minimum voltage limit) monitoring based on certain time intervals.

Abstract: Nowadays, the monitoring and control of the exhaustion dyeing processes is still done in a reactive and indirect fashion. The monitoring focusses on variables that influence the output of the dyeing process, such as temperature, pH and electrolytes concentration. This approach is more reactive than preventive, since it does not proactively detect deviations in the dyed substrate color that are caused by other process variables.The aim of this work is to develop a customized system that could actively monitor and predict the color of the dyed substrate after washing. This involves mathematical models and integration of a USB 4000 spectrophotometer and T300 dip probe made by Ocean Optics, which collects, analyzes and process the data from dyeing solutions. Validation tests performed with direct dyes and 100% cotton fabrics showed a good correlation with the real results, especially after 60 minutes of dyeing. For all the tested dyes, applied alone and combined, the color differences (ΔE₉₄) between the measured and the predicted color were equal or less than 0.70 and 1.52 respectively.

Abstract: This paper focuses on the theoretical and experimental verification of a behaviour composite reinforced concrete bed for installation in high-precision machine tools. The design solution consists of coupling the steel shell and HPC concrete filling, which ensures the high rigidity of the bed. Studies in this article were aimed at describing, in detail, the behaviour of the bed, from production to setting into its final position. An integral part of the solution was implementing the measurement of the response of the real bed segment using the installed monitoring system as well as the numerical simulations performed on the assembled FEM model. Thanks to the modular design of the bed, it was possible to verify the behaviour of the simulated load during the operation of the machine tool on a smaller sample. The aim is to verify the functionality of the coupling and, based on the comparison of measured and theoretical data, to define the critical points of the composite and, thus, provide a basis for design optimisation in order to maximise the monitored parameters.

Abstract: Nowadays, running is said to be one of the common activities that be practiced by various people especially athletes. Back then, there were some researchers report that most of the injuries among athletes involves lower hip bodies. It is due to some factors such as body and foot posture during running activity, selection shoe and style of running. Hence, this research is about to design and develop an insole monitoring system using ESP 32 development board and FSR sensor for the purpose of force distribution detection on runner’s foot. The development of smart insole is to countermeasure the risk of injury to the athletes. This system includes (ESP 32) development board which act as a microcontroller that interfaced with a Wi-Fi module and force sensing resistance (FSR) sensor to detect the force distribution of runner’s foot in (kg) unit. The system able to detect the foot force distribution acts by the runner and transmits the output data of the FSR sensor through the application which called Blynk. The experiments had done through two methods which are jogging and running. The force monitoring data was obtained through the Blynk Application via Wi-Fi. The design and development of insole monitoring system has successfully done and implemented on the runner.

Abstract: The use of natural materials for constructions, such as wood, makes it possible to respond to sustainability issues. However, due to its nature, it has problems of durability, as it is easily degradable. For this reason this research has developed a methodology aimed at defining an action strategy to monitor the behavior of wood elements. This methodology was verified in a case study where an innovative sensing and monitoring system conceived and optimized for modern wooden structures was introduced. It is organized with a control unit and sensing nodes that can be arranged freely. This architecture allows to provide continuous information about inside and outside ambient temperatures, moisture conditions and tri-axis inclination of structural elements. It is an innovative automatic monitor system that can be easily integrated to carry out a continuous analysis of the structural and environmental parameters of wooden buildings.

Abstract: The implementation of remote monitor in workshop can improve the production efficiency and contribute to the production management. In this paper, a remote monitoring system of air-jet loom workshop based on B/S structure is designed. The system adopts wireless networking mode in hardware and mainly consists of data acquisition module, database service module and Web service module in software. The data acquisition module is implemented with Visual C++. MySQL is chosen as the database management to design database service module. The Web service module is developed on the platform of asp.net and it is released on the IIS platform of cloud server, so that users can visit the Web site through browser clients. Different yarn materials need to be configured with different parameters. The loom computer can send requests to the cloud server for parameters. The system can analyze the types of yarn materials according to the requests and configure different parameters. This will be quite convenient for workers to change yarn materials.

Abstract: According to the actual situation of the coexistence of multi-sensor and multi-protocol in Mine Monitoring System, a comprehensive monitoring system of network based on XMPP protocol was carried out in this paper. The characteristics of the network system structure and the scheme of virtual sensor gateway were described in detail. Moreover, a session protocol based on the XMPP protocol was proposed and the definition of API was given. Functional structure and software structure of the whole system were designed based on Zend Framework. By using the virtual server cloud technology of VMware, as well as the centralized storage method of SAN, the background monitoring server group was built. After testing, the system greatly met the requirements of safety monitoring, which also possessed the advantage of easy implement, simple operation and maintenance, and great expansibility.