#dimeteo

##Current project condition

• Electronic scheme developing
• Electronic parts shopping
• Recieving data from weather services
• Recieving data from sensors
• Storing in database
• GUI
• Analizing
• Electronic Board making and solding
• Housing 3D printing
• Assembling

First screenshot of something:

Now working on the main part of graphical user interface. New branch graph_comb was created for this reason. Fresh project news will be available in the Blog section.

##What is dimeteo

The idea of dimeteo project is to collect information about weather condition in the past, in the future and at the moment and to provide it in highly informative graphical form.

Traditional forms of weather resources provide only limited information and don't give a full image of weather condition:

• Weather on TV provide only forecasts only for big regions and cities

• Weather on the Internet of Mobile Apps in most cases is the same as on TV. Of cause there are tons of all kind of information in all possible forms, but it's nor for every day use.

• Home Meteo Stations provide and collect precise information for exact place, but can't make a good forecast

  | in the past | at the moment | in the future ---- | ----------- | ------------- | ------------- Weather on TV | ❌ | ❌ | ✅ Weather on Internet* | ❌ | ✅ | ✅ Home Meteo Station | ✅ | ✅ | ❌

dimeteo combines advantages of all types of weather resources! 😎

Weather is a really subjective thing. Knowledge of the value of temperature gives us literally nothing, however precise it is. For example, +12 is cold or warm?

• If yesterday was -3, than it's really warm
• If yesterday was 24, it's bloody cold! To estimate the value we need something to compare with.

• precise current atmosphere condition (temperature, pressure and humidity)
• multiple forecast from best weather forecast services
• weather history to estimate a dynamic of changes
• showing the trend of temperature and pressure
• different kinds of LED- warnings:
  • rain
  • extreme encreasing or decreasing
  • decresing under zero
  • strong wing
  • etc.
• rich setting up: sources, units, colors, etc.

There are two types of information sources:

• Sensors - physical electronic parts connected to Raspberry Pi. They provide actual parameters of environment:

  • temperature of air (inside and outside)
  • atmospheric pressure
  • humidity

• Weather forecast services - provide the verity of different weather parameters and predictions. It's really rich source of information, although the weakness point is a big difference one service from another:

  • availability of your location
  • quality of prediction
  • list of parameters
  • API and type of protocol
  • price of access In this case there is a specific module for each weather service, which returns normalized data for following storing and analyzing. The number of sources can be different and depends on personal preferences.

All data is collecting in database and using for all following functionality:

• to otput on display current weather parameters
• generating graphs'
• to analyze storing data Combination of peices of necessary information from different sources is taken from database and output on display.

Soon...

Soon...

dimeteo is just for fun project. It's buildet for presonal non commercial use only. The author is not a professional programmer, who hopes that community will help to improve the code quality. Thank you :)