Cement News tagged under: machine learning
Carbon Re and ABB highlight collaboration at Cemtech Europe 202408 October 2024, Published under Cement NewsLast week at Cemtech Europe 2024 in Warsaw, Kenny Wong (Carbon Re) and Ryan Courts (ABB) detailed ongoing work between the two companies to achieve operational excellence in the cement industry through AI. In the presentation, the two highlighted how ABB and Carbon Re are formalising their joint approach to enable more cement producers to use AI-powered optimisation and decarbonisation to advance their production and strategic objectives. Heidelberg Materials, a leading global cement prod... |
Cemex revolutionises operations with AI20 September 2024, Published under Cement NewsCemex (Mexico) has started using MARIA (the Monitoring and Remote Assistance with Artificial Intelligence system). This system permanently, and in real time, captures critical variables of cement plants, such as temperature, oxygen levels, pressure and vibrations. MARIA knows how to use WhatsApp to send alerts and recommendations automatically to plant operators. It is also capable of using Google Translate to warn them of what is happening, which it detects through sensors and algorith... |
ML/AI-based maintenance to enhance energy efficiency14 February 2024, Published under Cement NewsRecently, CemAI representatives were invited to present to the United States Environmental Protection Agency’s (EPA) ENERGY STAR® division on the topic of machine learning/artificial intelligence’s (ML/AI) use in increasing energy efficiency. The ENERGY STAR programme was interested in the role that better maintenance and control of processes could play in cement manufacturing performance. By CemAI, USA. CemAI CEO Scott Ziegler outlined the benefits of machine learning and artifici... |
Taking the magic out of machine learning20 April 2022, Published under Cement NewsArtificial intelligence (AI) and its subcomponent machine learning (ML) are almost everywhere in industrial processes, and cement manufacturing is no exception. 1,2 Despite the common use of these terms, how a model is built and implemented remains a mystery to many. Holcim Innovation Center demystifies the process by stepping through a machine learning project. By Louise Harding and Xavier Cieren, Holcim Innovation Center, France. Figure 1: machine learning implementation steps ... |
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