System of smart detection and control to electrical energy for saving of electrical energy consumption

Roslina,; Amelia, Afritha; Pranoto, Heru; Sundawa, Bakti Viyata

doi:10.11591/eei.v10i5.2826

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…This interconnectivity improves security, so the responsiveness of IoT systems and user alerts demonstrate how the requirements for home safety are strengthened. Existing studies [25][26][27][28] have established that integrating IoT-enabled PIR (passive infrared sensor) intrusion detection into home automation systems positively influences security by providing comfort, energy, responsiveness, cost savings, remote control, and convenience.…”

Section: Introductionmentioning

confidence: 99%

Development and Assessment of Internet of Things-Driven Smart Home Security and Automation with Voice Commands

Netinant,

Utsanok,

Rukhiran

et al. 2024

IoT

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With the rapid rise of digitalization in the global economy, home security systems have become increasingly important for personal comfort and property protection. The collaboration between humans, the Internet of Things (IoT), and smart homes can be highly efficient. Interaction considers convenience, efficiency, security, responsiveness, and automation. This study aims to develop and assess IoT-based home security systems utilizing passive infrared (PIR) sensors to improve user interface, security, and automation controls using voice commands and buttons across different communication protocols. The proposed system incorporates controls for lighting and intrusion monitoring, as well as assessing both the functionality of voice commands and the precision of intruder detection via the PIR sensors. Intelligent light control and PIR intruder detection with a variable delay time for response detection are unified into the research methodology. The test outcomes examine the average effective response time in-depth, revealing performance distinctions among wireless fidelity (Wi-Fi) and fourth- and fifth-generation mobile connections. The outcomes illustrate the reliability of voice-activated light control via Google Assistant, with response accuracy rates of 83 percent for Thai voice commands and 91.50 percent for English voice commands. Moreover, the Blynk mobile application provided exceptional precision regarding operating light-button commands. The PIR motion detectors have a one hundred percent detection accuracy, and a 2.5 s delay is advised for PIR detection. Extended PIR detection delays result in prolonged system response times. This study examines the intricacies of response times across various environmental conditions, considering different degrees of mobile communication quality. This study ultimately advances the field by developing an IoT system prepared for efficient integration into everyday life, holding the potential to provide improved convenience, time-saving effectiveness, cost-efficiency, and enhanced home security protocols.

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Section: Introductionmentioning

confidence: 99%

Development and Assessment of Internet of Things-Driven Smart Home Security and Automation with Voice Commands

Netinant,

Utsanok,

Rukhiran

et al. 2024

IoT

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“…The temperature sensor is a DS18B20 sensor, while the light sensor is a BH1750FVI sensor. Roslina et al [21] have produced an intelligent detection system and electrical energy control to save energy consumption. The system works to control the electric current supply in the room automatically based on human presence.…”

Section: Introductionmentioning

confidence: 99%

An internet of things-based pump and aerator control system

Mawardi,

Sihombing,

Yudisha

2024

IJEECS

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Small-scale shrimp farmers in Hamparan Perak District, Deli Serdang Regency, Indonesia, conduct direct water quality supervision and manually use aerators and water pumps. Thus, it is inefficient in meeting the water quality required for shrimp farming and using production costs. This study aims to test the performance of an internet of things (IoT)-based prototype in supervising and controlling the aerator and pump in a shrimp pond. This prototype comprises an ESP32, three sensors: the DS18B20 sensor, MLX90614 sensor, and JSN-SR04T sensor, and two relays to control the aerator and pump automatically. Prototype testing is done directly on shrimp ponds by placing the prototype in an electrical panel connected to a power circuit. Based on the study's results, it is known that the prototype can measure water temperature. The water level and temperature of the aerator motor are pretty accurate. In addition, the prototype can also control the aerator and water pump well and send notifications to users automatically via smartphones.

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“…The process of refining nutmeg essential oil, the most optimal time to produce yield is up to 9 hours with a temperature of 100°C-120°C, and a pressure of 1-2 bar [6], [7]. Some distillation systems with the addition of a control system can save LPG gas up to 15% and systems with wood fuel can save production costs, and systems with electrical energy sources can save 20% electrical power [8], [9], [10], [11]. Control methods can also improve fuel efficiency, one of which has been carried out is the fuzzy logic method [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Microcontroller based multi-function control system for essential oil refining

Syamsul,

Mardiyanto,

Denti

et al. 2023

Technium

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The research is to design a multi-function control system using a nodemcu esp32 microcontroller to control the temperature and pressure of the essential oil refining steam boiler. Control aims to obtain the efficiency of the use of LPG gas. To increase efficiency, the controller applies fuzzy logic to each distillation function. The control system is based on the distillation time to get the most optimal essential oil yield. The results and duration of the distillation are based on fuzzy logic. Setting temperature and pressure parameters is based on the characteristics of the type of material to be refined. In nutmeg distillation, the temperature is in the range of 110-120 °C and a minimum pressure of 1.5-2.0 bar. In patchouli distillation the temperature is in the range of 100-110 °C and a minimum pressure of 1.0-1.5 bar. For citronella distillation, the temperature is in the range of 100-110 °C and a minimum pressure of 1.0-1.5 bar. The distillation time for each essential oil raw material is different, and the most optimal time is obtained from. The simulation is based on fuzzy logic. The results of the application of the control system in essential oil refining obtained efficiency in the use of gas. The efficiency of nutmeg essential oil distillation is 17.5% with a distillation time of 12 hours. Patchouli essential oil refining efficiency was 15% with 8 hours distillation. And the efficiency of distillation of citronella essential oil is 10% with distillation for 5 hours. The yield produced in the test of 20 kg of materials, namely nutmeg, patchouli and citronella, obtained a yield of 1.0 kg of nutmeg oil, 350 g of patchouli oil and 220 g of citronella oil.

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System of smart detection and control to electrical energy for saving of electrical energy consumption

Cited by 5 publications

References 21 publications

Development and Assessment of Internet of Things-Driven Smart Home Security and Automation with Voice Commands

Development and Assessment of Internet of Things-Driven Smart Home Security and Automation with Voice Commands

An internet of things-based pump and aerator control system

Microcontroller based multi-function control system for essential oil refining

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