Industrial companies have very specific challenges to meet their operational objectives. They must manage the performance of complex assets while insuring the safety. They must decrease their impact on the environment and increase their energy efficiency while complying with complex and stricter regulatory requirements.
Industrial IOT or Big Data sometimes sound as brand new concepts but, for industrial companies, they are not!
Indeed, most software solutions currently used to manage real time data appeared in the 80's. At this time, no database was able to support required performances to manage plant data. These software vendors had to design and deliver their own proprietary databases. In order to communicate with industrial equipments each with a different proprietary protocol, they had to develop a multitude of communication drivers.
For several years, these solutions have adapted to the fast pace of the IT technologies by developing additional layers to their solutions. For example, they participated in the introduction of Microsoft Windows in the factory, added Web interfaces and mobile applications, etc. However, they still rely on a proprietary foundation mostly outdated. The maintenance costs become difficult to justify and, often, their commercial models are inflexible and inadequate to the speed of change.
Obviously, decreasing operational costs could be a sufficient driver for most organizations. However, at factoryThings, we see other critical reasons to engage into the modernization of industrial data management. Indeed, how can proprietary architecture and user interfaces could attract young and innovative talents in the factory? How mainstream developers using modern languages such as Swift, Go, Ruby can add value to the plant with proprietary languages? How smaller plants can take advantage of big data applications with complex and expensive solutions?
We need to move on from this status quo. We can significantly simplify architecture, improve dramatically performances, provide native digital interfaces, open the factory to the latest manufacturing 4.0 trends such as predictive analysis, artificial intelligence, machine learning or robotics.
The technology has changed just everything around us. This is obvious to all consumers able to use a mobile phone to access an almost infinite number of services. This is equally true for database technologies now capable to support 200 billion twitters every year for example. The number of connected objects, currently estimated at 20 billion, will grow to 50 billion in 2025.
factoryThings is using the latest technologies and standards to build the most modern infrastructure for factories.
factoryThings is the interface offering user an easy access to manufacturing data. We provide out of the box capabilities for visualizing time series data with a variety of options, analytics and rich dashboards. The introduction of new applications such as Golden Batch, Model Predictive Controls, Downtime analysis, etc. will be quicker than ever thanks to our modern and simplified architecture.
FactoryCore is using a high-performance time series database written in Go and optimized for fast, high-availability storage and retrieval of time series data. A SQL-like language with built-in time-centric functions for querying time series is provided allowing modern and very intuitive access to data.
FactoryNet is the communication layer based on the OPC Unified Architecture (OPC UA), an industrial M2M communication protocol for interoperability developed by the OPC Foundation in order to provide a cross-platform service-oriented architecture (SOA) for process control, scalable and with enhanced security. We will also provide the MQTT protocol designed for IoT sensors.
We are not ignoring the migration challenge for our customers but with native digital technologies, thin architecture, fast performances, quick installation, intuitive interfaces, lower maintenance costs... factoryThings is disrupting the Manufacturing Intelligence landscape.