Temperatur_Forecaster

Overview

This is a small project to determine the correlation between local temperature and the indoor temperature of the lab where I work.

1. Request temperature data stored in local Liux Server MY SQL db.
2. Parse the temperature data from the South Korea Meteorological Agency html.
3. The ML model analyzes the correlation between the laboratory temperature and the average temperature of the Korea Meteorological Administration.
4. When you enter a temperature, it tells you the expected lab temperature.
5. A series of processes can be carried out directly by the user through the UI.

System Block

User Interface

Development environment

Hardware

Name	Description	Note
NuMaker-IoT-M253A V1.1	Development board with ARM Cortex-M23 provided by Nuvoton	Link

Software

Name	Description	Note
Firmware	Based SDK for M261 series provided by Nuvoton	Version 3.00.003
Keil MDK	IDE for Firmware	uVision V5.34.0.0
Ubuntu	Linux OS	Version 18.04.6
g++	Compiler for TCP/IP Server	Version 7.5.0
MySQL	Database	Version 14.14

Server

Name	Description	Note
IoT_Platform	Local Network Server	[Link]

Python Library(Ver. 3.10.5)

Name	Description	Note
PyQt	User Interface	Ver. 5.15.7
torch	Machine Learning	Ver. 1.12.1
PyMySQL	Data Base Request	Ver. 1.0.2
BeautifulSoup4	Web html Parsing	Ver. 4.11.1

Settings

pip install torch
pip install PyMySQL
pip install BeautifulSoup4
pip install PyQt

You can modify values for your servere db.py

SQL_INFO = {'host':'Your Host', 'port':Your port, 'user':'Your SQL User name','password':'Your SQL PW','database':'Your DB Name','charset':'utf8'}