Data Acquisition and Communication
Next generation intelligent edge-based data acquisition and secure communication technology
Making data visible
Next generation intelligent edge-based data acquisition and secure communication technology.
A critical challenge to overcome in the pursuit of efficient operations is the information gap between often stranded asset data and the insight required for on- and off-site experts to make informed decisions.
Alderley Connect, a next generation intelligent edge based data collection system, was developed to achieve just this and an collect and translate any digital or analogue input to any output. With the ability to interface with flow computers, transmitters, meters, and gas chromatographs, translate the data and securely publish it into Smart Asset Management via the cloud.
Alderley Connect can collect and translate any digital or analogue input to any output.
For example, Alderley Connect can interface with flow computers, transmitters, meters, and gas chromatographs, translate the data and securely publish it into Smart Asset Management via the cloud.
This is the cornerstone of the Smart Asset Management platform and facilitates the intelligent analytics needed to transform your asset data into remotely accessible insight.
Digitalising the metering discipline
The Fourth Industrial Revolution is shaping every aspect of our lives; Cloud computing, mobile connectivity, Artificial Intelligence (AI) and Big Data.
By connecting physical assets such as machines with digital systems, businesses can generate accurate insights, respond in real-time to challenges, perform remote surveillance, and become more efficient.
In the oil and gas industry, digital transformation will revolutionise how we supply energy to the world and support the activities involved in doing this.
Technically defensible data
Having access to the data is one thing. Ensuring the accuracy and technical
defensibility of the data is another. Valuable data is generated from field devices that can be utilised to help make better business decisions.
However, traditional metering system architectures are not always equipped to provide the real-time process control and diagnostics data needed to support these decisions.
Traditional systems are typically designed with a multi-layered approach where data is handed-off between many different systems before being consumed for analysis (in some cases there are more than 20 data ‘hops’).
This architecture can lead to data distortion and poor data quality causing trust issues for users of the data.In addition, many of these systems leave rich multivariable diagnostics data stranded within the field devices.