Maintecx Machine Tool LLC的动态

?? Smart manufacturing may seem magical, but it’s all about tackling the complex task of data conditioning. With data coming in various formats and standards from different equipment, addressing this complexity is crucial for accuracy and reliability. Read more here: https://lnkd.in/gbg8qhBu #SmartManufacturing #DataConditioning #IndustrialAutomation

I recently came across an interesting article on the role of digital twin technology in boosting sustainable data center performance and wanted share it. Digital twin technology lets operators simulate and optimize changes within a virtual copy of the data center. Planned changes to the physical data center can be tested first in the digital twin. By visualizing the effects, operators can assess potential performance impacts and make adjustments before risking actual hardware. This article discusses how this approach enhances resource efficiency and supports sustainability efforts: https://ow.ly/xrEH50Srhut

Leveraging Digital Twin Technology for Sustainable Data Center Performance Summary: In the era of rapid digital transformation, data center operators face the significant challenge of delivering increased processing power while maintaining sustainability. Balancing these demands is complex, especially with the rise of artificial intelligence (AI) and higher IT equipment densities. Digital twin technology offers a solution by providing a virtual model of a physical data center, allowing operators to simulate and test changes before implementation. Key Points: Challenges in Data Center Management: The growth of high-performance applications and high-density IT equipment increases energy consumption and cooling needs. Traditional management tools often fail to predict the impact of high-density deployments, leading to overcompensation and higher energy costs. Sustainability Pressures: Regulations such as the Energy Efficiency Directive (EED) and Corporate Sustainability Reporting Directive (CSRD) require data center operators to track, report, and reduce power and cooling usage. Benefits of Digital Twin Technology: Resource Efficiency:?Digital twins help track and optimize resource use, potentially delaying the need for new data center construction and saving costs. Performance Visualization:?Operators can test planned changes in the digital twin, visualizing the impact on performance and making necessary adjustments before affecting actual hardware. Informed Decision-Making:?Advanced simulations model complex thermal dynamics, cooling, and airflow, providing insights for effective and sustainable decisions. Cooling Management: Digital twins predict and manage cooling capacities effectively, simulating various conditions to prevent stranded capacity and avoid elevated temperatures from new deployments. Conclusion: Digital twin technology enables data center operators to navigate modern management complexities, balancing enhanced performance with sustainable operations. This approach ensures optimal data center performance while meeting energy efficiency and sustainability demands. #DataCenters #DigitalTwin #Sustainability #AI #CloudComputing #EnergyEfficiency #DataCenterManagement #ResourceOptimization #GreenTech

View our case study for a major data centre cooling system upgrade for one of the UK’s leading automotive manufacturers we fitted a new cooling system designed to improve the data centre's resilience by supplying air temperatures of 24oC so that it can work at much higher ambient temperatures. #datacentre #coolingupgrade #automotivemanufacturers #automotive #coolingsystem #coldaislecontainment #datacenter #datacentredesign #datacentrebuild #datacentreexperts

How AI is transforming data center design?

I recently came across an interesting article on the role of digital twin technology in boosting sustainable data center performance and wanted to share it. Digital twin technology lets operators simulate and optimize changes within a virtual copy of the data center. Planned changes to the physical data center can be tested first in the digital twin. By visualizing the effects, operators can assess potential performance impacts and make adjustments before risking actual hardware. This article discusses how this approach enhances resource efficiency and supports sustainability efforts: https://ow.ly/FIsE50Syjj0

?? Discussions with customers and interested partners have shown us this: In many factories, energy data is still written down manually from local displays on machines. This is not only time-consuming, but also prone to errors. A targeted solution should automatically record and analyse the relevant information and visualize it in a central dashboard. ????Machine data acquisition helps to make production processes more efficient and increase productivity! #machinedataacquisition #digitalization #efficiency #AXULUS #energymonitoring

?? Discussions with customers and interested partners have shown us this: In many factories, energy data is still written down manually from local displays on machines. This is not only time-consuming, but also prone to errors. Are you looking for a solution to automate this process- feel free to reach out! #Energy #Energyconsumption #Machinedatamonitoring #machinedataacquisition

The term digital twin is overused and misstated because for many manufacturers, it’s expensive and not accessible. In theory, a digital twin is a digital model of something that exists in the physical world. It uses the design of a physical object and all of the data attributed to that object to create a digital model that allows for simulations to be done, simply. Basically, you’re using data science to recreate the physical world in a digital sense. The reason for this? A lot of times it can be very difficult, complex, or expensive to simulate scenarios in physical form. The idea is to make predictions and tests easier to do by using a digital twin. This innovative approach allows manufacturers to explore various scenarios and outcomes without the high costs and potential risks associated with physical testing. By utilizing real-time data and advanced analytics, businesses can optimize processes, enhance product design, and even predict maintenance needs before issues arise. However, there’s the hype surrounding the digital twin and then there’s the cold reality. Keep reading: https://hubs.la/Q02PTKxw0 #manufacturing #digitaltwin

It all starts with data, and Xemelgo is your data accuracy partner. Xemelgo utilizes low-cost sensors throughout your operation to capture real-time data on your raw materials, WIP, finished goods inventory, shipments, etc. If you're relying on your team to manually enter the data that drives your dashboards and reports - then you're doing it wrong. GIM International | JP Kelly | #Manufacturing | #SmartManufacturing