cloud services
Solution Validation Process

To prove a Sustainable application/Solution has a viable use data will be required in Real Time and Historical formats. Once performance has been measured and analysed, and proven, a Solution can be final submitted on our Platform and published on https://netgreen.solutions

An IoT Solution will be developed in multiple Stages:

During our Development Stage for 2024

We are aiming to generate an 'IoT Template' that future 3rd Party Solution Providers can use to validate their own Solutions, during the process to publish on the multiple Hubs/Sites that make up the Netgreen Platform.
Our first Solution that we are presently publishing on the Platform - Netgreen Heat, will test a potential flexible and powerful IoT Solution, to hopefully fulfil this aim.

Therefore our primary requirements were:

  • A flexible platform of Sensors that can be applied, with a local infrastructure of simple snap-fit installation wiring.
  • A Microcontroller with a local LCD graphical output providing the Real Time condition of the overall Solution.
  • Sufficient local Memory Storage capacity, that allows 2.4Ghz wireless transmission of data from the local Network.
  • A Light-weight and Secure method of backhauling data to a Cloud Platform, for storage and transmission of data.
  • A Cloud Application to process the data, with the ability of adding AIP data, with a final HTML web page illustrating Real Time & Historical graphical and validation information
Strategy of IoT Template being developed for our first Solution - Netgreen Heat
Further Detailed Information when Development has been completed
Sensor selection and Configeration Installation

More information soon

Embedded Board selection and Configeration

More information soon

Data Collection and Manipulation

More information soon

Data Monitoring and Dissemination

More information soon

Algorithm Control Strategies

More information soon

Formatted Real Time and Historical Data

More information soon

Memory Capacity as a Service

Using our Domain https://filemy.info to market our Memory resource to subsidies the cost of our Platform - aiming to go live by mid 2023. Offering different types of Memory are required for different applications.

Fast Storage - data, files, photos, video streaming/download, collaborative apps with real time sharing requirements - to multiple devices.
Backup Storage - To provide regularly that historical data can be backed up .

filemy.info
Memory Capacity Accounts can be broken down to:
  • Standard Storage: - Good for 'hot' data that's accessed frequently, including websites, streaming videos and mobile apps.
  • Nearline Storage: - Low cost. Good for data that can be stored for at least 30 days, including data backup and long-tail multimedia content.
  • Coldline Storage: - Very low cost. Good for data that can be stored for at least 90 days, including disaster recovery.
  • Archive Storage: - Lowest cost. Good for data that can be stored for at least 365 days, including regulatory archives.
Future Development - Sustainable Hosting

Large scaled Server Farms use a large amount of energy to function, mainly from the cooling requirement to keep the Server processing systems within a temperature range. Usually air-conditioning systems are designed to be the same size as the Server processing power, with the waste heat being just rejected to the exterior ambient unused.

Different heat recovery reuse applications are slowly being engineered, though with the increase use of Server technologies being applied to our lifestyle this requires to expanded significantly.
Our own engineering design team has recently been involved is the reuse of Server Farm waste heat to be used to heat office buildings, using water/water Heat Pumps, but this type of application will need to be expanded to a District Cooling/Heating scale to be a true Sustainable Solution.

We will be aiming to develop a Solution to generate power from Renewable Power for Server capacity and reuse the waste heat for a viable application. This shall be based on providing different Solutions for different scales of Server Capacity.