Aug 18, 2020

NexAIoT partners with QualityLine to drive Industry 4.0

NexAIoT
Manufacturing
Industry 4.0
Digital Transformation
Sean Galea-Pace
2 min
Manufacturing Global: NexAIoT has announced a collaboration with QualityLine’s AI data integration and advanced analytics technology to scale their EWR and gateways to customers
NexAIoT has announced a collaboration with QualityLine’s AI data integration and advanced analytics technology to scale their EWR and gateways to cust...

NexAIoT, a company that is set on becoming the champion of Industry 4.0, provides multi-party services of consulting and system integration for clients in the manufacturing industry ranging from the United States to the Greater China area.

The organisation’s solutions include machine and factory automation and extends to equipment and facility networking. This also has practical experience in areas of smart manufacturing, transformation and upgrading. NexAIoT’s ground-breaking solution, iAT2000 cloud-based intelligent monitoring system bridges the gap between OT and IT. This streamlines the organisation’s in-field industrial communication, equipment and data integration. This open-structure of Industry 4.0 solution is showcased in an Enterprise War Room to improve how the management team will make the industry’s most profitable decision. 

“NexAIoT’s Enterprise War Rom is an Industry 4.0 intelligent manufacturing decisions system,” commented C.C. Lin, NexAIoT Industry 4.0 Center Vice President. “The large amounts of data from the on-site machine and facility in the factory can be seamlessly integrated by QualityLine’s AI and advanced analytics technology, enabling us to help individual corporations to carry out digital transformation reforms per the appropriate operations methods to face current market changes. Through the collaboration with QualityLine, we look forward to making a difference and setting the new standard in manufacturing operations.” 

QualityLine’s AI technology allows for a faster and automated anomaly detection of quality and efficiency in the manufacturing process. By automatically mapping all types of manufacturing structures of data, the software can integrate and identify the relevant information that should be analysed and visualised in a monitoring dashboard detailing what should be fixed.

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May 13, 2021

Predictive Monitoring for Continuous Operations Management

TwinThread
PredictiveOperations
dataanalytics
SponsoredContent
2 min
TwinThread’s Predictive Monitoring provides valuable analysis of Machine conditions for predictive maintenance of operations

Unplanned downtime and poor maintenance procedure can cost companies a lot of time and money. 

For companies looking to set specific targets for cost efficiency, production output and quality control, the ability to predict how certain variables affect machines can aid success in reaching these targets. 

Monitoring and remediation are important steps to optimize production, by adopting Predictive Monitoring, organizations can receive the ideal support to keep operations running efficiently, and ongoing maintenance to keep machines running at their best.

Predictive Monitoring


Predictive Monitoring is an AI driven method of production analysis. It uses metrics such as temperature and vibrations to determine when machines are working outside of their optimum conditions. 

Around 98% of organizations report that a single hour of downtime can cost them over US$100,000, which highlights a significant cost implication that can be avoided with AI driven analytics. 

TwinThread applications work with Predictive Monitoring to provide a network of data, which ensure machines work within their optimum conditions, for the best output.

Providing the Digital Tools

According to PwC’s ‘Digital Factories 2020’ report, “manufacturers’ adoption of machine learning and analytics to improve predictive maintenance will increase by 38% by 2022.” One of the main reasons for this, given by 98% of respondents, is to gain more efficiency through investment into digital factory solutions.

By learning what potential issues may occur if machines are not working to the correct standard,  Predictive Monitoring systems work with TwinThread’s Predictive Asset Reliability application, which conducts an “automated root cause analysis” enabling the operator to analyze how the machine has fallen from its optimum conditions. Ultimately,  any issues will be addressed much faster when predictive technology uses data to monitor variables.

“TwinThread’s Predictive Operations Center is making a big difference to our process engineers, giving them real-time feedback on the stability of our production,” said Domenic Verte, Manufacturing Application Manager at Toray.

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