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How Industry 4.0 Influence Today’s Asset Management

Factory Worx

In this blog, we will check out the influence of manufacturing 4.0 Why does manufacturing asset management software matter to process manufacturing plants? As the sector gets more competitive and customer demand and market conditions change more frequently, manufacturing businesses need every advantage they can get.

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Taking a different approach to DCS upgrades

Control Engineering

Embracing concepts and technologies such as artificial intelligence (AI), machine learning (ML) and smart manufacturing can help. The traditional DCS has reached a point of diminishing returns as a source of unlocking major incremental value (flexibility and agility) for transitioning to digital and autonomous operations.

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Sensor for E. coli risk detection for wastewater environments developed

Control Engineering

She said about two billion people worldwide use a drinking water source that has some level of fecal matter in it and can cause health issues ranging from diarrhea to stunted growth – especially in young children. Emily Bedell (PhDEnvEngr’22) is the lead author on the paper from the Mortenson Center in Global Engineering. Patent Office.

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Seeq Awarded Frost & Sullivan’s 2023 Global Market Leadership Award for Industrial Analytics

Frost & Sullivan Manufacturing

Seeq helps global leaders in oil & gas, chemicals, pharmaceuticals, mining, and more drive profitability and sustainability via its advanced analytics, machine learning (ML), and artificial intelligence (AI) time series data platform.

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Robot integration ease of use a priority

Control Engineering

This is because every robot manufacturer today brings its own world of automation with it, including hardware and software, specific programming know-how, interfaces, controllers, operating devices, engineering systems, etc. Source: Profinet.

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Systems integrators support end user self-service

Control Engineering

Figure 1: Koidra engages with end user clients of all types, providing products and services designed to help these users create artificial intelligence of things (AIoT) functionality by easily integrating data, creating soft sensors, implementing low-code control, and enabling autonomous control. Courtesy: Koidra.

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Heralding a boundless automation future with Industry 4.0 technologies

Control Engineering

Safety, reliability and increased production are still critical drivers for industrial process manufacturers. Figure 1: In a boundless automation architecture, a single cohesive software platform will unify the edge, the cloud and the intelligent field to better meet the changing needs of process manufacturers.