Overview

This document is a quick dive into digital environments for places like farms or airfields that have large areas and no power supply to the remote areas. The purpose of this document is to highlight what off the self components can be used and how they can be plugged together to build up a digital picture. A basic components are ...

Data Collection

Temperatures
Location
Acceleration
Radio Frequencies

Data Processing

Embedded Systems
Micro Controllers

Power

Storage
Generation

Data Communication

GSM
Lora
Wifi

Data Collection and Analysis

Live
Historical
Argumented

Data Collection

To collect data you first need to digitize the thing your collecting. The table below provides some examples of devices that collect specific pieces of information.

Data	Device
Temperatures / Humidity / Pressures	BME280
Wind Speed and Direction	Adafruit Anemometer
Acceleration / Rotation	MPU-9250 9-Axis Gyro, Accelerometer, and Magnetometer
Radio Frequencies	Software Defined Radio such as a Neolec or HackRF One
Distances	VL53L0X Time-of-Flight (ToF) Laser Distance Sensor
Positions	U-blox NEO-6M GPS Module
Torque	Honeywell TMS9250
Sound	USB Sound Card
Salinity	EZO-EC Sensor

All these devices easily connectable to a embedded system like a Raspberry Pi and most can connect to a ESP32 micro controller which are described in the Data Processing section below.

Data Processing

Once the data input devices have been selected they can be plugged into the data processing unit which can be either a embedded system such as a Raspberry Pi Zero or a ESP32 micro controller. Its worth noting that a micro controller will use less power than an embedded system but comes at the cost of not being able to easily plug in some input devices such as a software defined radios.

Power

Power is the biggest drawback when it comes to collecting data from remote places but this can usually be overcome by using a combination of batteries and energy producing devices such as solar panels or turbines.

Data Communication

After collecting the data you'll want to transport it and depending on your needs will depend on what form of communication will be used. Smart phones contain a few forms of communication methods such as GSM, Bluetooth and Wifi but other forms such as LoRaWan can also be used. The whole purpose of transporting the data is so it can be collected centrally.

Data Analyzes

There are three types of data analyses.

Live
Historical
Argumentative

Live data is the raw data as it arrives which is pretty useless in of its self unless you know what your looking for. Historical data means performing some sort of analyses on collected data to find a trend. If a trend is found then this can be applied to the live data being received and events setup accordingly. Argumentative data is a combination of both data types layered upon the real world.

Core Values

Locally manufactured products preferred, Raspberry Pi's in mind
Responsible sourced components, if its now available locally then may a neighbor will have it
Locally employed people
Apprenticeship and training schemes
Product longevity, things should be built to last and not fail for profit
Rigorous testing with routines and Tested products