scholarly journals Design of electric power emergency communication system based on multi-network integration

2021 ◽  
Vol 2083 (4) ◽  
pp. 042071
Author(s):  
Xiaoguang Sun ◽  
Jianyu Geng ◽  
Kai Liu ◽  
Yuanzhi Wang ◽  
Zhipeng Wang
Keyword(s):  
Natural Disasters ◽  
Electric Power ◽  
Data Transmission ◽  
Test Results ◽  
Complex Environments ◽  
Network Integration ◽  
Emergency Communication ◽  
Network Carrier ◽  
Optimal Signal ◽  
Signal Network

Abstract Natural disasters and emergencies generally pose serious threats to power facilities. Therefore, it is necessary to establish an efficient electric power emergency communication (EPEC) system. Existing systems based on a single network carrier (for example,4G, satellite, and Wi-Fi) may not meet the requirements of complex environments. We design a new EPEC system based on multi-network convergence technology by integrating the above three network carriers. It overcomes the limitations of single network carrier and improves the efficiency of power emergency communication. The test results show that the system can improve the transmission line bandwidth, automatically switch to the optimal signal network, and guarantee the security and stability of data transmission.

scholarly journals Cyber-Infrastructure Connections and Smart Gird Security

2019 ◽  
Vol 8 (6) ◽  
pp. 2285-2287
Keyword(s):  
Smart Grid ◽  
Natural Disasters ◽  
Electric Power ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Security Threats ◽  
Grid Environment ◽  
Energy Theft ◽  
Smart Gird ◽  
Regular Flow

The architecture of the smart grid combines the communication grid and physical power grid in a sole huge network. Smart grid has various security threats like cyber-attacks, physical attacks or natural disasters. The mentioned threats can lead to the breach of the user’s privacy, failure of the infrastructure, energy theft, blackouts endanger the safety of the operators among many more. For this reason, there is need to ensure that the smart grid cyber security is adequate to prevent any of these threats. Adequate security will as well ensure that the smart grid operates adequately as it is viewed that is by providing safe, reliable and uninterrupted supply of power to the consumers with a regular flow of end to end information that are all secure. The smart grid environment will ensure that the electric power infrastructure is modern. This is majorly by combining the present functionalities and the future ones with the upgraded requirements to the users

scholarly journals Implementasi Algoritma You Only Look Once (YOLO) untuk Deteksi Korban Bencana Alam

2021 ◽  
Vol 8 (4) ◽  
pp. 787
Author(s):  
Moechammad Sarosa ◽  
Nailul Muna
Keyword(s):  
Image Processing ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Test Data ◽  
Detection System ◽  
Training Data ◽  
Test Results ◽  
Disaster Victim ◽  
Rapid Evacuation

<p class="Abstrak">Bencana alam merupakan suatu peristiwa yang dapat menyebabkan kerusakan dan menciptakan kekacuan. Bangunan yang runtuh dapat menyebabkan cidera dan kematian pada korban. Lokasi dan waktu kejadian bencana alam yang tidak dapat diprediksi oleh manusia berpotensi memakan korban yang tidak sedikit. Oleh karena itu, untuk mengurangi korban yang banyak, setelah kejadian bencana alam, pertama yang harus dilakukan yaitu menemukan dan menyelamatkan korban yang terjebak. Penanganan evakuasi yang cepat harus dilakukan tim SAR untuk membantu korban. Namun pada kenyataannya, tim SAR mengalami kendala selama proses evakuasi korban. Mulai dari sulitnya medan yang dijangkau hingga terbatasnya peralatan yang dibutuhkan. Pada penelitian ini sistem diimplementasikan untuk deteksi korban bencana alam yang bertujuan untuk membantu mengembangkan peralatan tim SAR untuk menemukan korban bencana alam yang berbasis pengolahan citra. Algoritma yang digunakan untuk mendeteksi ada atau tidaknya korban pada gambar adalah <em>You Only Look Once</em> (YOLO). Terdapat dua macam algoritma YOLO yang diimplementasikan pada sistem yaitu YOLOv3 dan YOLOv3 Tiny. Dari hasil pengujian yang telah dilakukan didapatkan <em>F1 Score</em> mencapai 95.3% saat menggunakan YOLOv3 dengan menggunakan 100 data latih dan 100 data uji.</p><p class="Abstrak"> </p><p class="Abstrak"><strong><em>Abstract</em></strong></p><p class="Abstrak"> </p><p class="Abstract"><em>Natural disasters are events that can cause damage and create havoc. Buildings that collapse and can cause injury and death to victims. Humans can not predict the location and timing of natural disasters. After the natural disaster, the first thing to do is find and save trapped victims. The handling of rapid evacuation must be done by the SAR team to help victims to reduce the amount of loss due to natural disasters. But in reality, the process of evacuating victims of natural disasters is still a lot of obstacles experienced by the SAR team. It was starting from the difficulty of the terrain that is reached to the limited equipment needed. In this study, a natural disaster victim detection system was designed using image processing that aims to help find victims in difficult or vulnerable locations when directly reached by humans. In this study, a detection system for victims of natural disasters was implemented which aims to help develop equipment for the SAR team to find victims of natural disasters based on image processing. The algorithm used is You Only Look Once (YOLO). In this study, two types of YOLO algorithms were compared, namely YOLOv3 and YOLOv3 Tiny. From the test results that have been obtained, the F1 Score reaches 95.3% when using YOLOv3 with 100 training data and 100 test data.</em></p>

scholarly journals Dense Optical-electrical Interface Module

2001 ◽  
Vol 16 (supp01c) ◽  
pp. 1175-1177 ◽  
Author(s):  
◽  
Paul Chang
Keyword(s):  
Data Transmission ◽  
Optical Data ◽  
Production Test ◽  
Test Results ◽  
Middle Segment ◽  
Vertex Detector ◽  
Hardness Tests ◽  
Input Signals ◽  
Operational Frequency ◽  
Interface Modules

The DOIM (Dense Optical-electrical Interface Modules) is a custom-designed optical data transmission module employed in the upgrade of Silicon Vertex Detector of CDF experiment at Fermilab. Each DOIM module consists a transmitter(TX) converting electrical differential input signals to optical outputs, a middle segment of jacketed fiber ribbon cable, and a receiver (RX) which senses the light inputs and converts them back to electrical signals. The targeted operational frequency is 53 MHz, and higher rate is achievable. This article outlines the design goals, implementation methods, production test results, and radiation hardness tests of these modules.

Field Test Results of Additional Data Transmission for the ATSC Terrestrial DTV System

2014 ◽  
Vol 60 (4) ◽  
pp. 724-727 ◽  
Author(s):  
Sung Ik Park ◽  
Heung Mook Kim ◽  
Yiyan Wu ◽  
Jeongchang Kim
Keyword(s):  
Field Test ◽  
Data Transmission ◽  
Additional Data ◽  
Test Results

scholarly journals SISTEM MONITORING GAS AMONIA DAN KADAR BERSIH UDARA PADA KANDANG SAPI PERAH DENGAN MENGGUNAKAN PROTOKOL KOMUNIKASI MQTT DAN ALGORITMA RULE BASED SYSTEM

Repositor ◽  
2020 ◽  
Vol 2 (9) ◽  
Author(s):  
Muhammad Gofur ◽  
Diah Risqiwati ◽  
Vinna Rahmayanti Setyaning Nastiti
Keyword(s):  
Dairy Cow ◽  
Data Transmission ◽  
Cow Dung ◽  
Test Results ◽  
Ammonia Gas ◽  
Rule Based ◽  
Human Needs ◽  
Rule Based System ◽  
Monitoring Model ◽  
Arduino Uno

AbstrakPeternakan sapi merupakan faktor yang sangat penting dalam memenuhi kebutuhan manusia akan pangan, dalam peternakan sapi perah banyak sekali manfaat dan keuntungan yang didapatkan seperti susu dan daging. Salah satu contoh yang membahayakan bagi sapi dan peternak adalah menyebarnya paparan gas amonia bagi lingkungan area kandang sapi perah dan rumah peternak. Gas amonia sendiri dihasilkan dari kotoran sapi yang terlalu lama mengendap dalam sebuah ruangan, jika kotoran sapi tidak cepat untuk dibersihkan maka efek yang ditimbulkan dapat mencemari lingkungan dan berdampak timbulnya penyakit yang bisa menyerang manusia dan sapi perah. Dengan adanya kemajuan teknologi dibuat lah sebuah model pemantauan gas amonia, gas monoksida dan suhu kelembaban dengan menggunakan perangkat Arduino Uno, sensor MQ-7, sensor MQ-135 dan DHT11 pada area kandang sapi perah dengan menggunakan MQTT dan algoritma rule based system. Alat ini juga mempunya aksi buzzer dan blower, fungsi buzzer sendiri sebagai peringatan jika kondisi area kandang sudah terpapar oleh gas amonia dan monoksida maka buzzer akan berbunyi. Sedangkan blower gunanya sebagai penetralisir udara agar gas yang berbahaya tidak sampai memasuki ruangan rumah peternak dan menstabilkan suhu kelembaban area kandang sapi perah. Hasil pengujian rssi menunjukakan bahwa jarak berpengaruh dalam pengiriman data semakin jauh jarak akan mempengaruh sinyal dan delay waktu akan terjadi dalam pengiriman data.  Abstract               Cattle farming is a very important factor in meeting human needs for food, in dairy farming there are many benefits and benefits such as milk and meat. One dangerous example for cattle and breeders is the widespread exposure of ammonia gas to the environment of dairy cages and farmer homes. Ammonia gas itself is produced from cow dung that settles too long in a room, if cow dung is not fast to be cleaned then the effects can pollute the environment and have an impact on diseases that can attack humans and dairy cows. With the advancement of technology, a monitoring model of ammonia, gas monoxide and temperature of humidity was made using Arduino Uno devices, MQ-7 sensors, MQ-135 and DHT11 sensors in the dairy cow enclosure area using MQTT and rule based system algorithms. This tool also has buzzer and blower action, the buzzer function itself as a warning if the condition of the enclosure area has been exposed to ammonia and monoxide gas then the buzzer will sound. While the blower is used as an air neutralizer so that harmful gases do not enter the farmer's room and stabilize the humidity temperature of the dairy cow enclosure area. The RSSI test results indicate that the distance influencing the data transmission the further the distance will affect the signal and the delay in time will occur in the data transmission.

scholarly journals Sistem Pemantauan Dapur Menggunakan Teknologi Hybrid WiFi - Visible Light Communication

2021 ◽  
Vol 13 (1) ◽  
pp. 39-43
Author(s):  
Denny Darlis ◽  
Aris Hartaman ◽  
Afifah Shafira
Keyword(s):  
Visible Light ◽  
Gas Sensors ◽  
Data Transmission ◽  
Fire Detection ◽  
Visible Light Communication ◽  
Sensor Data ◽  
Test Results ◽  
Final Project ◽  
Parameter Values ◽  
Monitor Data

Visible Light Communication (VLC) is a technology that allows the sending of data information through visible light that will be received as a piece of information. In its implementation, a sensor can send information data using VLC in this technological era. One model of data transmission that is widely used in life is to use radio frequency or better known as wireless.In this final project, a transmitter and receiver of data is realized through the transmission of light, this device consists of a lamp as an electrical converter to light, a photodioda as a converter of light to electric, and receiving data. Through the realization of this tool we can know that the transmission of data through light can occur can be used to transmit data. Data transmitted in this final project is the result of three sensor data namely temperature sensors, gas sensors, and fire detection sensors on the transmitter and on the receiver used firebase to monitor data. From the test results produce parameter values such as distance with a maximum distance of the data is accepted either 45cm, 50cm of data is damaged and 55cm of data is not accepted, the variations in angles and distances show that at a distance of 10cm it can receive data well from an angle of 0ᵒ to an angle of 35ᵒ, a distance of 35cm and 40 cm at an angle of 10ᵒ the received data is damaged and at a distance of 45cm and 50cm at a 5ᵒ angle cannot receive data and as well as the sending speed parameters obtained at a baudrate of 2400 bps, 4800 bps and 9600 bps the data sent can be received well.

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