SC3 Technologies sense, collect, connect, compute

While a large number of companies offer "big data" solutions, from data analysis tools to specialist storage systems to cloud services, in sectors from manufacturing to logistics, financial services to geophysics, relatively few are concerned with how the data collection works: it is almost assumed that data will be available for import in a nice, friendly format.

Similarly there is a large number of (different) companies developing hardware and supporting software for Raspberry Pi, BeagleBone and similar "education / hobbyist" devices, ranging from weather stations, to door entry systems, to interfaces with "legacy" interfaces such as RS485. [It's written as "legacy" because our view is that if you are still using it, it's not legacy to you, it's live - no matter how old it may be]. There are also several specialist design and small-scale manufacturing companies able to take the Pi-class devices and develop interfaces to these older but operational systems: with some distributed computing and intelligence on these devices, the linking of actual equipment to the "big data" world becomes possible for companies of all sizes. Devices based on the "system on module" model and other industrialised devices can be selected which are mostly software-compatible with the Pi-class, allowing lower cost "proof of concept" stages using the smaller devices before any major costs incurred. Coupled with the use of cloud services, these devices can provide end-to-end proof of concept for larger projects with little or no capital cost, and investment decisions can be taken based on the outcome of proper test, verification and validation phases rather than on business cases alone.

SC3 Technologies can help companies build these bridges between old and new and help create proper business cases prior to larger investments, and also help develop the business cases and alternatives for programmes to take advantage of new capabilities and technologies, even for older systems.

When project commitments (and confidentiality agreements) allow, this site will include some sample areas of work, technologies and partners, and some blogs from both industrial and hobby projects.

Whether it's actively monitoring processes 24x7, or collecting data continuously for later investigation or optimisation, watching operations can help optimise your business.

Sensors can monitor the environment, equipment and the processes that produce goods, maintain services or support both tasks and staff.

Visibility of both business and technical processes is key to any organisation: tools and techniques that have been previously only been open to large enterprises can now be used by smaller companies or short-term investigations undertaken that were not previously viable.

Seeing the road ahead is easier without the fog !

Key to improving any process is the ability to measure it: it's a common path to take, but it really isn't possible to improve things that cannot be measured - apart from anything else, how can improvement itself be quantified?

Data from sensors can be collected, joined with data from equipment or from other systems, and processed to give reports, dashboards, alerting and also to store historical data for trend analysis and longer-term investigations or experiments.

Data collected, reports produced, and archives all need computing and storage resources, and in many (if not most) cases it is difficult to estimate either the power or storage requirements. With the widespread availability of cloud computing, and the ability to implement secure environments with those clouds, these problems become less urgent, and companies can evaluate requirements over time, then determine whether there should be an "in house" / "in cloud" split, and so on.

Clouds can be all sorts of shapes!

All of these opportunities and possibilities require several key elements: the ability to sense, to collect, to connect and to compute.

For more information, please email info /


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