Data Acquisition

Figure 2: Smart devices are enablers that generate substantial volumes of data from utilities, which can put pressure on infrastructure. Courtesy: Cyient

Energy, Power June 28, 2019

Perfecting power distribution data quality

Data produced by power distribution networks is critical, but so is perfecting data quality and governance.

By Sunil Kotagiri

Older architectures for mobile access present problems, but newer implementations provide greatly simplified solutions. Courtesy: Opto 22

Mobility June 13, 2019

Finding common ground between industrial automation and mobile technology

Mobile technologies are challenging traditional data handling practices as they move into the industrial arena.

By Benson Hougland

Figure 2: Users can claim ownership of process notifications so that others know those alarms are being investigated. Courtesy: Emerson

Data Acquisition, DAQ June 3, 2019

Improve decisions by optimizing data from mobile devices

Good mobile software promotes efficiency by delivering data on intuitive screens that empower users to integrate information and saves trips back to the control room or to the site.

By Danny Strinden and Mariana Dionisio

Figure 2: Time-series databases are experiencing explosive growth because they efficiently can store and provide access to large volumes of data. Courtesy: DB-Engines.com

Data Acquisition, DAQ April 27, 2019

The data historian’s history told

Momentum around time-series data storage suggests a new chapter for a legacy offering.

By Michael Risse

Data Acquisition, DAQ April 13, 2019

Three data types companies need to prioritize

Not all data is equal and some require greater attention and priority than others. Industrial companies managing networks need to focus on information-based, mission critical and real-time data.

By Jonathan Simpson

Researchers in MIT’s Open Agriculture Initiative grow basil under controlled environmental conditions to study how taste and other features are affected. Courtesy: Melanie Gonick, MIT

AI and Machine Learning April 10, 2019

Machine-learning algorithms used to make agriculture taste better

MIT researchers have developed a method using machine learning to reveal optimal growing conditions to maximize taste and other features.

By Anne Trafton

MIT researchers’ modified flash storage drives hold promise to cut in half the energy and physical space required to store and manage user data in power-hungry data centers. Courtesy: Chris Vavra, CFE Media

Data Centers April 3, 2019

Researchers develop architecture to reduce data center energy and space constraints

MIT researchers have developer a flash-storage system designed to cut the energy and physical space required to store and manage data in data centers by half.

By Rob Matheson

A robotic car controlled by an ultra-low power hybrid chip is placed into an arena to demonstrate its ability to learn and collaborate with another robot. Courtesy: Allison Carter, Georgia Tech

Robotics March 25, 2019

Connecting quality data to process data

Using advanced analytics can help assure product quality and overall operational efficiencies. See case study example.

By Edwin van Dijk

Data Acquisition, DAQ March 10, 2019

Resolve five Big Data, data acquisition challenges

Demystify the need for Big Data and five related challenges: data structure, scalability, integration, storage, and upgrades.

By Qasim Maqbool and Ahmed Habib