{"id":250755,"date":"2024-02-19T12:29:24","date_gmt":"2024-02-19T12:29:24","guid":{"rendered":"https:\/\/www.ctsolutions.es\/ai-4-bots-is-an-experimental-project-aimed-at-maximizing-productivity-and-energy-efficiency-through-ai-digital-twin-and-agvs-automated-guided-vehicles\/"},"modified":"2024-02-22T10:34:30","modified_gmt":"2024-02-22T10:34:30","slug":"ai-4-bots-is-an-experimental-project-aimed-at-maximizing-productivity-and-energy-efficiency-through-ai-digital-twin-and-agvs-automated-guided-vehicles","status":"publish","type":"post","link":"https:\/\/www.ctsolutions.es\/en\/ai-4-bots-is-an-experimental-project-aimed-at-maximizing-productivity-and-energy-efficiency-through-ai-digital-twin-and-agvs-automated-guided-vehicles\/","title":{"rendered":"“AI 4 BOTs” is an experimental project aimed at maximizing productivity and energy efficiency through AI, Digital Twin, and AGVs (Automated Guided Vehicles)."},"content":{"rendered":"

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The goal of<\/span> the “AI 4 BOTS” project<\/span> <\/span>has<\/span> been to<\/span> <\/span>develop a system based on advanced data analysis techniques and artificial intelligence.<\/span><\/strong> Integrated with Mobile Robots (AGV<\/span> \/ AMRs)<\/span> and a Digital Twin of a specific production plant, this system can guide<\/strong><\/span> real-time decision-making in production plants and reduce the risk generated by unexpected events.<\/span><\/strong> This will<\/span> allow<\/span> maximizing the efficiency<\/strong><\/span> of the production plant<\/span> (thus improving sustainabilit<\/span>y)<\/span> and<\/span> r<\/span>educing production<\/span> costs<\/span>.<\/strong><\/span> <\/span><\/strong><\/p>\n

[\/et_pb_text][et_pb_image src=”https:\/\/www.ctsolutions.es\/wp-content\/uploads\/2024\/02\/Ai-4-Bots-imagen-3.png” title_text=”Ai 4 Bots imagen” align=”center” _builder_version=”4.23.1″ _module_preset=”default” width=”81%” max_width=”78%” min_height=”392.9px” height=”431px” max_height=”557px” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.23.1″ _module_preset=”default” min_height=”365.7px” height=”384px” max_height=”415px” custom_margin=”||2px|||” custom_padding=”23px||0px||false|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

CT Solutions<\/strong> (Cadtech)<\/span> has collaborated on the project by creating the digital twin, which accurately represents the real system and its performance in a simulated scenario. This aims to prepare for real situations and anticipate future actions. Additionally, the created digital twin will serve as a communication interface between the production plant control team,<\/strong> alerting supervisors to potential production line failures to apply corrective measures<\/strong> and anticipate potential issues.<\/span> <\/span><\/p>\n

With this project, predictive artificial intelligence will be provided <\/strong>to the AGVs, as well as efficient and agile response capabilities, through an algorithmic engine based on artificial intelligence techniques and machine learning methods. <\/strong>This allows them to anticipate future events and react accordingly in the present to avoid undesirable situations, ensuring efficient development of production tasks, and optimal and automated material transportation management to minimize the production cycle time. This, in turn, also ensures minimized energy consumption<\/strong> by the fleet of AGVs and maximizes efficiency in the production plant.<\/strong> Therefore, the implemented algorithms will use data from a real environment, <\/strong>which is also represented virtually through the creation of a Digital Twin. <\/span> <\/span><\/p>\n

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