Pub Date : 2022-10-13DOI: 10.1109/TSSA56819.2022.10063896
Agung Tri Wahyudi, Taufik Ramadhan, Fadli Afdhalash Adam, N. Ismail, Feri Rivaldi, M. R. Effendi
Automation and efficiency in the industrial sector are increasingly needed. One of the machines that is often used in industry is the Stamping Machine. Stamping Machine is a machine that can stamp goods automatically. One of the main components of this machine is the Programmable Logic Controller (PLC) as a working controller of the system. The type of PLC used in this system is PLC Omron CP1E - E20 which consists of 20 I/O, completed with Reed Switch (RS) sensor as input and solenoids valve 5/2 integrated with Single Acting Cylinder as the output used to carry out the stamping process. The system works by utilizing the air pressure from the compressor and the PLC program according to the engine performance algorithm. The operation of the system requires a wind pressure of 4 bar and a power supply voltage of 24V. This system is programmed using a CX-Programmer with a stamping duration of 3 seconds and a standby time between stamping processes of 2 seconds. The stamping time measurement is conducted in real time and revealed the average time of 5.044 seconds.
{"title":"On The Design of Object Stamping System Using Electro-Pneumatic Based on PLC OMRON CP1E","authors":"Agung Tri Wahyudi, Taufik Ramadhan, Fadli Afdhalash Adam, N. Ismail, Feri Rivaldi, M. R. Effendi","doi":"10.1109/TSSA56819.2022.10063896","DOIUrl":"https://doi.org/10.1109/TSSA56819.2022.10063896","url":null,"abstract":"Automation and efficiency in the industrial sector are increasingly needed. One of the machines that is often used in industry is the Stamping Machine. Stamping Machine is a machine that can stamp goods automatically. One of the main components of this machine is the Programmable Logic Controller (PLC) as a working controller of the system. The type of PLC used in this system is PLC Omron CP1E - E20 which consists of 20 I/O, completed with Reed Switch (RS) sensor as input and solenoids valve 5/2 integrated with Single Acting Cylinder as the output used to carry out the stamping process. The system works by utilizing the air pressure from the compressor and the PLC program according to the engine performance algorithm. The operation of the system requires a wind pressure of 4 bar and a power supply voltage of 24V. This system is programmed using a CX-Programmer with a stamping duration of 3 seconds and a standby time between stamping processes of 2 seconds. The stamping time measurement is conducted in real time and revealed the average time of 5.044 seconds.","PeriodicalId":164665,"journal":{"name":"2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129961951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Students generally do not like to do daily work for a long time, but are willing to spend a lot of time playing games. They grew up with digital technology. Teachers must solve important problems related to adapting the learning process to students who have different learning styles and new requirements for teaching and learning. Based on this, how to combine learning and games so that they can motivate students to do the learning. Wrapping learning in a game. Gamification is one of the educational approaches and techniques that increase the motivation and involvement of students. Gamification is also focused on digital literacy. Gamification uses elements in games or video games to motivate students in the learning process and maximize feelings of enjoyment and engagement with the learning process, besides that this media can be used to capture things that interest students and inspire them to continue doing the learning. Education about waste is the first step in shaping the character of environmental care, discipline, and children's responsibility towards waste and how to handle it. The Educational Game application sorting waste is a game that has an educational element of learning in recognizing the types of waste. With this game, it is hoped that children can recognize and understand the types of organic and inorganic waste in a fun way and style.
{"title":"Gamification Implementation in The Learning Media for Waste Separation","authors":"Rini Nuraini Sukmana, Andessya Julian Pradinda, Teguh Nurhadi Suharsono, Gunawan, Riffa Haviani Laluma","doi":"10.1109/TSSA56819.2022.10063908","DOIUrl":"https://doi.org/10.1109/TSSA56819.2022.10063908","url":null,"abstract":"Students generally do not like to do daily work for a long time, but are willing to spend a lot of time playing games. They grew up with digital technology. Teachers must solve important problems related to adapting the learning process to students who have different learning styles and new requirements for teaching and learning. Based on this, how to combine learning and games so that they can motivate students to do the learning. Wrapping learning in a game. Gamification is one of the educational approaches and techniques that increase the motivation and involvement of students. Gamification is also focused on digital literacy. Gamification uses elements in games or video games to motivate students in the learning process and maximize feelings of enjoyment and engagement with the learning process, besides that this media can be used to capture things that interest students and inspire them to continue doing the learning. Education about waste is the first step in shaping the character of environmental care, discipline, and children's responsibility towards waste and how to handle it. The Educational Game application sorting waste is a game that has an educational element of learning in recognizing the types of waste. With this game, it is hoped that children can recognize and understand the types of organic and inorganic waste in a fun way and style.","PeriodicalId":164665,"journal":{"name":"2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121203478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-13DOI: 10.1109/TSSA56819.2022.10063910
Haifa Nabila, Aisyah Novfitri, Raisah Nur Afifah
Positioning technology is now very important and has many advantages. One way to determine the position is to use a hyperbolic algorithm. The algorithm can use the time-of-arrival (TOA) parameter of the target signal to determine the position of the target in three dimensions. In this paper, we examine target positioning using existing hyperbolic positioning systems. In some cases, an error was detected when the x-, y-, and z-coordinates were imaginary. A time sorting method was added to solve this problem. Performance improvements were then made using this method. This method improves target positioning accuracy and avoids errors.
{"title":"Time Sorting Method for TOA-Based 3D Hyperbolic Positioning System","authors":"Haifa Nabila, Aisyah Novfitri, Raisah Nur Afifah","doi":"10.1109/TSSA56819.2022.10063910","DOIUrl":"https://doi.org/10.1109/TSSA56819.2022.10063910","url":null,"abstract":"Positioning technology is now very important and has many advantages. One way to determine the position is to use a hyperbolic algorithm. The algorithm can use the time-of-arrival (TOA) parameter of the target signal to determine the position of the target in three dimensions. In this paper, we examine target positioning using existing hyperbolic positioning systems. In some cases, an error was detected when the x-, y-, and z-coordinates were imaginary. A time sorting method was added to solve this problem. Performance improvements were then made using this method. This method improves target positioning accuracy and avoids errors.","PeriodicalId":164665,"journal":{"name":"2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115920438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-13DOI: 10.1109/TSSA56819.2022.10063891
Gunawan, Muhammad Fikri Fadillah, E. Prakasa, B. Sugiarto, Teguh Nurhadi Suharsono, Rini Nuraini Sukmana
Autonomous Vehicle is a technology that has been often discussed in the last few years in the category of research and industry. This technology is able to sense the surrounding environment and control the vehicle autonomously without any human intervention. In its implementation, this technology requires a lot of information, especially the road track that will be passed. Because of that, the thing that must be considered is to segment the road first. The aim of this research is to develop a method that can segment the roads to produce a model that can recognize the road track as well. This research uses Convolutional Neural Network (CNN) with U-Net architecture. The datasets have a form of car trips video recordings from the dashboard camera, which are then extracted into a frame. After this process, it is annotated or manual segmentation using Supervisely to be used as a reference for training and testing. From the results of the calculation process with the confusion matrix, the accuracy of the U-net architecture gets a value of 95%, precision value is 81%, recall value is 92%, F1-Score value is 86% IOU value is 76%. Followed by testing the model in real-time using Jetson AGX Xavier, this tool is specially designed to develop artificial intelligence with high specifications. The test is carried out with two types of testing. The first test with an RGB background produces an FPS of 0.17, and the second test without an RGB background gets an FPS in the range of 0.55-0.67.
{"title":"Road Segmentation with U-Net Architecture Using Jetson AGX Xavier For Autonomous Vehicle","authors":"Gunawan, Muhammad Fikri Fadillah, E. Prakasa, B. Sugiarto, Teguh Nurhadi Suharsono, Rini Nuraini Sukmana","doi":"10.1109/TSSA56819.2022.10063891","DOIUrl":"https://doi.org/10.1109/TSSA56819.2022.10063891","url":null,"abstract":"Autonomous Vehicle is a technology that has been often discussed in the last few years in the category of research and industry. This technology is able to sense the surrounding environment and control the vehicle autonomously without any human intervention. In its implementation, this technology requires a lot of information, especially the road track that will be passed. Because of that, the thing that must be considered is to segment the road first. The aim of this research is to develop a method that can segment the roads to produce a model that can recognize the road track as well. This research uses Convolutional Neural Network (CNN) with U-Net architecture. The datasets have a form of car trips video recordings from the dashboard camera, which are then extracted into a frame. After this process, it is annotated or manual segmentation using Supervisely to be used as a reference for training and testing. From the results of the calculation process with the confusion matrix, the accuracy of the U-net architecture gets a value of 95%, precision value is 81%, recall value is 92%, F1-Score value is 86% IOU value is 76%. Followed by testing the model in real-time using Jetson AGX Xavier, this tool is specially designed to develop artificial intelligence with high specifications. The test is carried out with two types of testing. The first test with an RGB background produces an FPS of 0.17, and the second test without an RGB background gets an FPS in the range of 0.55-0.67.","PeriodicalId":164665,"journal":{"name":"2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114571243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-13DOI: 10.1109/TSSA56819.2022.10063899
Rifal Faturrohman, N. Ismail, M. R. Effendi
Brushless Direct Current (BLDC) motor is a development of DC motor which uses a three-phase voltage source. BLDC motor has the advantages of high efficiency, good speed and torque characteristics, low operating noise, and long operating life. BLDC motor requires a control system which can improve a stable and responsive speed response to maximize these advantages. This research discusses controlling BLDC motor speed with Proportional Integral (PI) control and Field Oriented Control (FOC) methods based on Digital Signal Processor (DSP). The initial stage of the research is to simulate the PI control to see the results of control before it is implemented on the BLDC motors. The simulation results show that the value of Kp is 0.01165 and Ki is 0.10699. This research also applies the FOC method using the Texas Instruments Insta SPIN-FOC library and the implementation uses the DSP TMS320F28027F. The results obtained indicate that the response is good with a small overshoot value and steady state error so that it produces an output with low ripple and fast response. The designed control system is capable of tracking speed at 500 rpm, 700 rpm and 900 rpm setpoints. The BLDC motor speed test for each setpoint results a settling time value of 0.30 s, 0.18 s and 0.14 s, an overshoot value of 0.2%, 1.14% and 0.22% and a steady state error value by 1 %, 0% and 0.22%.
{"title":"Speed Control System of BLDC Motor Based on DSP TMS320F28027F","authors":"Rifal Faturrohman, N. Ismail, M. R. Effendi","doi":"10.1109/TSSA56819.2022.10063899","DOIUrl":"https://doi.org/10.1109/TSSA56819.2022.10063899","url":null,"abstract":"Brushless Direct Current (BLDC) motor is a development of DC motor which uses a three-phase voltage source. BLDC motor has the advantages of high efficiency, good speed and torque characteristics, low operating noise, and long operating life. BLDC motor requires a control system which can improve a stable and responsive speed response to maximize these advantages. This research discusses controlling BLDC motor speed with Proportional Integral (PI) control and Field Oriented Control (FOC) methods based on Digital Signal Processor (DSP). The initial stage of the research is to simulate the PI control to see the results of control before it is implemented on the BLDC motors. The simulation results show that the value of Kp is 0.01165 and Ki is 0.10699. This research also applies the FOC method using the Texas Instruments Insta SPIN-FOC library and the implementation uses the DSP TMS320F28027F. The results obtained indicate that the response is good with a small overshoot value and steady state error so that it produces an output with low ripple and fast response. The designed control system is capable of tracking speed at 500 rpm, 700 rpm and 900 rpm setpoints. The BLDC motor speed test for each setpoint results a settling time value of 0.30 s, 0.18 s and 0.14 s, an overshoot value of 0.2%, 1.14% and 0.22% and a steady state error value by 1 %, 0% and 0.22%.","PeriodicalId":164665,"journal":{"name":"2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114724205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study discusses the development of a Conventional Antipodal Vivaldi Antenna (CAVA), which is intended for use in ultra-wideband applications. The development is carried out by adding a Double Slot Structure (DSA VA) with Corrugated Edges (CE) and a Trapezium Dielectric Director (TD). The antenna is targeted to work in the 3.5 GHz - 10.5 GHz frequency range. Based on the test results, it is found that there is an increase in performance in the operating frequency range with gain variations between 10–14 dBi. The method can also improve the characteristics of the antenna radiation pattern at high frequencies in the E-Field field.
{"title":"Double Slot Antipodal Vivaldi Structure for Ultrawideband Applications","authors":"Farrel Raditya Eduardi, H. Ludiyati, Aulia Farah Meswari, Hanny Madiawati, Vitrasia","doi":"10.1109/TSSA56819.2022.10063931","DOIUrl":"https://doi.org/10.1109/TSSA56819.2022.10063931","url":null,"abstract":"This study discusses the development of a Conventional Antipodal Vivaldi Antenna (CAVA), which is intended for use in ultra-wideband applications. The development is carried out by adding a Double Slot Structure (DSA VA) with Corrugated Edges (CE) and a Trapezium Dielectric Director (TD). The antenna is targeted to work in the 3.5 GHz - 10.5 GHz frequency range. Based on the test results, it is found that there is an increase in performance in the operating frequency range with gain variations between 10–14 dBi. The method can also improve the characteristics of the antenna radiation pattern at high frequencies in the E-Field field.","PeriodicalId":164665,"journal":{"name":"2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"728 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121805578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-13DOI: 10.1109/TSSA56819.2022.10063883
R. Ristiana, S. Kaleg, Rina Mardiati, A. Muharam, A. Hapid, A. C. Budiman, Amin, Sudirja, Kristian Ismail
This paper proposed an energy optimization strategy with an optimal control method approach based on wireless position control of electric power steering (EPS). The optimal control method consists of a discrete linear quadratic regulator (DLQR) as case-1 and a predictive control model (MPC) as case-2. Both are applied to see the potential of the optimal energy based on the comparison of control performance, resulting in a control design that eliminates unwanted vibrations and ensures system stability, and energy efficiency. In addition, both of these control designs can be implemented in a wireless system for position control of EPS using a mobile phone.
{"title":"Wireless Position Control of an Electric Power Steering System for Energy Optimization","authors":"R. Ristiana, S. Kaleg, Rina Mardiati, A. Muharam, A. Hapid, A. C. Budiman, Amin, Sudirja, Kristian Ismail","doi":"10.1109/TSSA56819.2022.10063883","DOIUrl":"https://doi.org/10.1109/TSSA56819.2022.10063883","url":null,"abstract":"This paper proposed an energy optimization strategy with an optimal control method approach based on wireless position control of electric power steering (EPS). The optimal control method consists of a discrete linear quadratic regulator (DLQR) as case-1 and a predictive control model (MPC) as case-2. Both are applied to see the potential of the optimal energy based on the comparison of control performance, resulting in a control design that eliminates unwanted vibrations and ensures system stability, and energy efficiency. In addition, both of these control designs can be implemented in a wireless system for position control of EPS using a mobile phone.","PeriodicalId":164665,"journal":{"name":"2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132413472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-13DOI: 10.1109/TSSA56819.2022.10063900
Ratna Mayasari, N. Syambas, E. Mulyana
NDN (Named Data Network) network is the future network that transforms network communication from sending packets to the destination address to retrieving data (content) identified by name. A forwarding strategy is needed to select the next hop efficiently when forwarding interest. NDN, a data-centric network that can reduce network load (especially on the server side), has been widely developed using Machine Learning (ML) recently. The main factor in using ML is to examine very large data, for example, data in the Forwarding Information Base (FIB) table. The purpose of this study is to classify faces for interests that come to the NDN network and find out that the interests will be forwarded to closer nodes (producers). This research classifies several faces of FIB Classification techniques in Machine Learning are needed to classify the faces based on several interrelated features (variables). The results of the classification that has been carried out, show that the Random Forest classification model has the highest level of accuracy, which is 85,77%.
NDN (Named Data Network)网络是一种将网络通信从向目的地址发送数据包转变为以名称标识的数据(内容)检索的未来网络。在转发兴趣时，需要一种有效的转发策略来选择下一跳。NDN是一种以数据为中心的网络，可以减少网络负载(特别是在服务器端)，近年来使用机器学习(ML)得到了广泛的发展。使用ML的主要因素是检查非常大的数据，例如转发信息库(FIB)表中的数据。本研究的目的是对来到NDN网络的兴趣面孔进行分类，并发现这些兴趣会被转发到更近的节点(生产者)。机器学习中的分类技术需要基于几个相互关联的特征(变量)对人脸进行分类。已经进行的分类结果表明，随机森林分类模型的准确率最高，达到85,77%。
{"title":"Classification of interfaces on Named Data Networking Using machine learning","authors":"Ratna Mayasari, N. Syambas, E. Mulyana","doi":"10.1109/TSSA56819.2022.10063900","DOIUrl":"https://doi.org/10.1109/TSSA56819.2022.10063900","url":null,"abstract":"NDN (Named Data Network) network is the future network that transforms network communication from sending packets to the destination address to retrieving data (content) identified by name. A forwarding strategy is needed to select the next hop efficiently when forwarding interest. NDN, a data-centric network that can reduce network load (especially on the server side), has been widely developed using Machine Learning (ML) recently. The main factor in using ML is to examine very large data, for example, data in the Forwarding Information Base (FIB) table. The purpose of this study is to classify faces for interests that come to the NDN network and find out that the interests will be forwarded to closer nodes (producers). This research classifies several faces of FIB Classification techniques in Machine Learning are needed to classify the faces based on several interrelated features (variables). The results of the classification that has been carried out, show that the Random Forest classification model has the highest level of accuracy, which is 85,77%.","PeriodicalId":164665,"journal":{"name":"2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132877112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-13DOI: 10.1109/TSSA56819.2022.10063901
A. Kurniawan, Kholilatul Wardani, Eki Ahmad Zaki Hamidi
The frequent use of the Volvo engine for mechanical hauling necessitates a real-time and intelligent approach to when and how to perform periodic maintenance. The single or double trailer (vessel) that the Volvo FH16 prime mover truck is equipped to pull may weigh between 280 metric tons. Unfortunately, the Service-Meter (SM), which counts engine operating hours without accounting for engine speed, load, or oil temperature, serves as the primary basis for the maintenance schedule. As a result of this faulty parameter, the maintenance schedule became inefficient and flawed. A NodeMCU Module is installed on an ECU to include crankshaft rotation to Hour Meter parameter which used to decide when to carried out the periodic maintenance. The wear components inside the engine that is in contact with rotating or moving parts such as crankshaft, camshaft, piston cylinders specifically the rings, cylinder liner, and connecting rod are all depend on the number of crankshaft rotation. By including the crankshaft RPM when the engine is operating, using SMconv, The most frequent maintenance service (PS250) is carried out approximately every 11 days (previously every 15 days). By making PS250 more frequent which means replacement of engine oil, engine oil filter, and secondary fuel filter (racor filter) will be done more frequently. The result and effect of the maintenance is therefore in accordance with metal wear pace inside the engine. Therefore, by modifying the SM parameter the more frequent maintenance service is expected to make make better MTBF and MTTR thus resulting in longer engine lifetime.
{"title":"Implementation of 80MHz NodeMCU Lolin for Realtime Precision Maintenance Scheduler CPS Calculation on a Volvo In-Line D16C610 Engine","authors":"A. Kurniawan, Kholilatul Wardani, Eki Ahmad Zaki Hamidi","doi":"10.1109/TSSA56819.2022.10063901","DOIUrl":"https://doi.org/10.1109/TSSA56819.2022.10063901","url":null,"abstract":"The frequent use of the Volvo engine for mechanical hauling necessitates a real-time and intelligent approach to when and how to perform periodic maintenance. The single or double trailer (vessel) that the Volvo FH16 prime mover truck is equipped to pull may weigh between 280 metric tons. Unfortunately, the Service-Meter (SM), which counts engine operating hours without accounting for engine speed, load, or oil temperature, serves as the primary basis for the maintenance schedule. As a result of this faulty parameter, the maintenance schedule became inefficient and flawed. A NodeMCU Module is installed on an ECU to include crankshaft rotation to Hour Meter parameter which used to decide when to carried out the periodic maintenance. The wear components inside the engine that is in contact with rotating or moving parts such as crankshaft, camshaft, piston cylinders specifically the rings, cylinder liner, and connecting rod are all depend on the number of crankshaft rotation. By including the crankshaft RPM when the engine is operating, using SMconv, The most frequent maintenance service (PS250) is carried out approximately every 11 days (previously every 15 days). By making PS250 more frequent which means replacement of engine oil, engine oil filter, and secondary fuel filter (racor filter) will be done more frequently. The result and effect of the maintenance is therefore in accordance with metal wear pace inside the engine. Therefore, by modifying the SM parameter the more frequent maintenance service is expected to make make better MTBF and MTTR thus resulting in longer engine lifetime.","PeriodicalId":164665,"journal":{"name":"2022 16th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115122850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-13DOI: 10.1109/TSSA56819.2022.10063871
Muhammad Haniff, H. Saputra, Eki Ahmad Zaki Hamidi, C. H. A. Baskoro, Saip Ardo Pratama
Mobile robots are robots with mobility capabilities, the ability of mobile robots is generally used for logistics purposes such as transporting goods. Steering mechanism is one of popular research subject from the development of mobile robot. Mobile robot steering mechanisms have been widely developed such as mecanum and omni-wheel steering which have a high maneuverability rate, but have a low traction value. Swerve steering is a steering mechanism that has advantages in terms of high maneuverability with traction values on a good track. This study discusses the design of a swerve steering module for mobile robot steering system. Swerve steering has the characteristic to perform translational movements and rotational movements at one point. Fuzzy logic control is designed for rotational movements performed with angle inputs, with a test of setpoint values from 5°-90° with an interval of every 5°, based on tests found the diferrence angle between actual and setpoint angle varies at value 0°-0.06°, with a first angular rise time of 1537 ms and an interval of rise time increase against an angle increase of 200 ms - 500 ms. Fuzzy logic control also designed for translational movement, carried out by input the distance to travel, based on tests with distance setpoints of 100 cm, 200 cm, 300 cm, 400 cm, and 500 cm, found the accuracy values of the distance traveled are 99.3%,99.72%, 99.86%, 99.93%, 99.972%.
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