IoT everywhere! And its quantity and diversity grows tremendously.

How to deal with the large number of IoT big data streams and transform it into simple and useful apps for end users?

How to make such systems easy accommodating change and adapt to quickly changing user requirements, replacement of specific devices and adding new ones, linking to different systems, be integrated into high level scalable architecture solution which is simple to use and learn and run and easy maintain with minimum costs?

The more IoT shall be linked to some system, the more data streams shall be processed and transformed into effective and easy to use user high level applications to address specific customer purposes.

This is one of the main problems related to the large IoT systems: How to deal with many big data streams from large number of IoT and transform it into simple and useful apps for end users? 

Another one is How to make such systems easy accommodating change and adapting to quickly changing user requirements, replacement of specific devices and adding new ones, linking to different systems, be integrated into high level scalable architecture solution which is simple to use and learn and run and easy maintain with minimum costs?

PharosN addresses these issues by design. Consider the platform as hosting and development environment for making your unique application models of target IoT systems.

The approach is similar to the use of powerful frameworks for developing web applications and its hosting. The difference is in use of high level prototyping tools that

• Support interactive development of target complex custom application models having large number of IoT quick and easy
• Allow linking of the IoT, sensors and automated systems using common open source protocols and major standards
• Enable testing and demonstration of the integrated application solution to customers
• Allow easy adaptation to changes in requirements and application model structure
• Do not require programming

How much time I would need to learn and make my first custom solution?

Estimated timing for learning:

~12 h - Obtaining your own engine and development platform, learning it basic administrative functions and typical model structure supported by interactive wizards and guides

~ 4 h – How to use model builder instruments (editor of objects, indicators, data elements, sensors, etc)

~ 8 h - How to link the model to optional IoT and other data sources

~ 4 h - How to plan and prepare sample model for your customer

Estimated timing for the first model development:

~12 h – Learning the first customer application environment (system structure, data sources and its access options, KPIs, requirements for monitoring, analytics, reporting, users, their roles and access rights, data security, etc)

~25 h – Planning and preparing the detailed description of the model for its implementation

~25 h – Model building with interactive instruments, its linking to data sources, testing and prototyping

~10 h – Updating and improvement of the model, dashboards and reports based on the prototyping results

~16 h – Preparing and demonstrating the application to your customer, its documenting

~4 h – Training of your customer (management, operators, employees) and application deployment at your customer premises

Total duration from the first step to first solution deployment for the customer: ~ 1 month !

NB: The duration is estimated based on actual implementation experience for the model of smart manufacturing enterprise: Total numbers of Employees=75, Smart objects (Products, customers, etc) = 30, KPIs =295; Data sources = 167.

Brief video about tools, dashboards, reports and widgets