HỆ THỐNG CẢNH BÁO TÌNH TRẠNG QUÁ NHIỆT MÁY BIẾN ÁP PHÂN PHỐI ỨNG DỤNG CÔNG NGHỆ IOTS

0 Người đánh giá. Xếp hạng trung bình 0

Tác giả: Chí Ngôn Nguyễn, Đức Toàn Nguyễn, Trí Lộc Nguyễn, Văn Khanh Nguyễn, Quang Vinh Trần

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Tạp chí Khoa học và Công nghệ - Đại học Thái Nguyên, 2023

Mô tả vật lý: tr.144 - 151

Bộ sưu tập: Metadata

ID: 337041

Thêm vào giỏ Liên kết toàn văn

Mục tiêu bài báo này là thiết kế một hệ thống Internet vạn vật IoTs (Internet of Things) có thể phát hiện sự cố xảy ra trên các máy biến áp phân phối dựa vào nhiệt độ hoạt động trên thân máy. Để xây dựng hệ thống, trước tiên, một thiết bị đo nhiệt độ thân máy được thiết kế sử dụng cảm biến nhiệt độ hồng ngoại không tiếp xúc. Sau đó tiến hành thực nghiệm thu thập dữ liệu nhiệt độ thân máy và nhiệt độ hoạt động của máy biến áp để phân tích tương quan giữa chúng nhằm đưa ra cơ chế cảnh báo phù hợp. Kế đến sử dụng dịch vụ AWS IoT Core của Amazon để kết nối các trạm và lưu trữ dữ liệu đo. Sau cùng là phát triển một ứng dụng web để giám sát và cảnh báo sự cố của các máy biến áp. Các kết quả thực nghiệm cho thấy hệ thống có thể giám sát được nhiệt độ máy biến áp dựa trên nhiệt độ của thân máy, ứng dụng web đã có thể giám sát nhiệt độ của các máy biến áp theo thời gian thực và thực hiện cảnh báo khi có sự cố xảy ra.The aim of this paper is to design an IoTs (Internet of Things) system that can detect failures on distribution transformers based on the temperature of their body. To build the system, at first, a device is deployed to measure the temperature outside the transformer using a non-contact infrared temperature sensor. Then, experiment is conducted to collect the temperature data of operating transformers to find out a correlation between the outside temperature and actual temperature of them to conduct suitable warning mechanism. Next, Amazon AWS IoT Core service is utilized to connect measuring devices and store their data in a database. Finally, a web-based application is developed to monitor and alert the abnormal states of transformers. The experimental results indicate that the system can measure transformer temperature based on the heat on their body, the web-based application can observe transformer temperature in real-time and notify when a problem is occured.

1. Đọc trực tuyến

1. Đọc trực tuyến

Tạo bộ sưu tập với mã QR