![\"null\"](\"https:\/\/at3w.com\/wp-content\/uploads\/AT__Ico_grids.svg\"\/)
\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”6\/12″ css=”.vc_custom_1673265689178{padding-right: 0px !important;padding-left: 0px !important;}”]Smart Grids<\/h2><\/div><\/span><\/div>Digitalisation is a key tool<\/span> for optimising operational-financial efficiency<\/span> in the planning and operation of the electrical distribution network.
\nAplicaciones Tecnol\u00f3gicas S.A<\/span> can become your partner<\/span> in this transformation process.<\/div><\/div><\/div><\/p>\nThe digitalisation of electrical distribution is linked to intelligent networks or Smart Grids. A Smart Grid integrates information and communication technologies (ICT) into the electrical grid. This is a necessity of the energy transformation process to achieve economic development and sustainability objectives.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner]
<\/div>[\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” css=”.vc_custom_1643370304958{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_column css=”.vc_custom_1643370317055{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_raw_html css=”.vc_custom_1643370330174{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]W2ZsZXh5X2JyZWFkY3J1bWJd[\/vc_raw_html][\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” css=”.vc_custom_1658839939343{margin-bottom: 0px !important;padding-bottom: 0px !important;}”][vc_column width=”1\/2″ css=”.vc_custom_1643370317055{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]\n\n\t![\"null\"](\"https:\/\/at3w.com\/wp-content\/uploads\/smart-grid-aplicaciones-tecnologicas-copia.jpg\"\/)
\n<\/div><\/div><\/div><\/div><\/div>[\/vc_column][vc_column width=”1\/2″]<\/p>\nTechnological allies for the<\/code> digitalisation of electrical distribution<\/h2>\n<\/div>
<\/span><\/div><\/div><\/div><\/p>\nAt Aplicaciones Tecnol\u00f3gicas S.A we are experts in the development of different technologies on which the digitalisation of the electrical network is based:<\/p>\n
<\/div><\/div>
<\/div>[vc_row_inner css=”.vc_custom_1658833502858{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_column_inner width=”1\/4″]\n\n\t![\"null\"](\"https:\/\/at3w.com\/wp-content\/uploads\/recogida-de-datos-Aplicaciones-Tecnologicas-1.svg\"\/)
\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]<\/div>Data collection<\/h2><\/div><\/p>\nThrough measurement elements (sensors), changes in the monitored network are detected remotely and in real time.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner]
<\/div>[vc_row_inner css=”.vc_custom_1658833473135{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_column_inner width=”1\/4″]\n\n\t![\"null\"](\"https:\/\/at3w.com\/wp-content\/uploads\/diagnosticos-precisos-Aplicaciones-Tecnologicas-1.svg\"\/)
\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]<\/div>Accurate diagnostics<\/h2><\/div><\/p>\nTo transmit the data collected by the sensors, both a communication infrastructure and a communication protocol and data model are required. Artificial intelligence (AI) algorithms transform the large amount of data collected by sensors into useful information.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner]
<\/div>[vc_row_inner css=”.vc_custom_1658833485040{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_column_inner width=”1\/4″]\n\n\t![\"null\"](\"https:\/\/at3w.com\/wp-content\/uploads\/alertas-objetivas-multicanal-ATSTORM-Aplicaciones-Tecnologicas.svg\"\/)
\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]<\/div>Objective multi-channel alerts<\/h2><\/div><\/p>\nInformation from processed data facilitates decision-making regarding changes detected in the distribution network. The action elements or actuators enable actions on the monitored physical system.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” seperator_enable=”seperator_enable_value” seperator_type=”tilt_left_seperator” seperator_position=”top_bottom_seperator” seperator_svg_height=”120″ css=”.vc_custom_1718015449958{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#243469″][vc_column]
<\/div>[vc_row_inner][vc_column_inner]<\/p>\nAdvantages of the digitalisation
\nof the electrical network<\/code><\/h2>\n<\/div>
<\/span><\/div><\/div>[\/vc_column_inner][\/vc_row_inner]<\/div>[vc_row_inner gap=”35″][vc_column_inner width=”1\/3″]\n\n\t![\"null\"](\"https:\/\/at3w.com\/wp-content\/uploads\/icon_01_grids-1.svg\"\/)
\n<\/div><\/div><\/div><\/div>\t\t<\/div>PREDICTIVEASSET MAINTENANCE<\/h2><\/div><\/p>\nContinuous monitoring allows the transition from corrective maintenance to predictive maintenance<\/a>. This strategy is based on focusing maintenance tasks on the assets most prone to failure thanks to IoT and data processing using AI algorithms. According to studies by several<\/a><\/strong> consulting companies,<\/span> maintenance costs could be reduced by around 21%. <\/span><\/strong><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t![\"null\"](\"https:\/\/at3w.com\/wp-content\/uploads\/icon_02_grids-1.svg\"\/)
\n<\/div><\/div><\/div><\/div>\t\t<\/div>NETWORK
\nINCIDENT PREDICTION<\/h2><\/div><\/p>\nReal-time monitoring detects failures in network elements accurately and quickly. In this way, the times for locating the fault, repairing the fault and restoring the supply are reduced. As a consequence, the quality of supply is improved and operation and maintenance costs are reduced.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t![\"null\"](\"https:\/\/at3w.com\/wp-content\/uploads\/icon_03_grids-1.svg\"\/)
\n<\/div><\/div><\/div><\/div>\t\t<\/div>ASSET LIFE CYCLE OPTIMISATION
\nAND ADVANCED CONTROL<\/h2><\/div><\/p>\nThe processing by artificial intelligence (AI) of the data obtained with the sensor elements provides objective and useful information for decision making. Furthermore, by means of actuators, the required actions can be executed automatically.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” css=”.vc_custom_1721388406724{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#ffffff”][vc_column][vc_row_inner gap=”35″][vc_column_inner width=”1\/2″]
<\/p>\nDigital twin:<\/code>
\nbenefits and advantages of technology<\/h2>\n<\/div>
<\/span><\/div><\/div><\/div><\/p>\nDigital twin<\/span> technology is very advantageous to manage the state of physical assets, predict this state and improve their efficiency. A digital twin is a virtual model of a physical device, process, or system.<\/span><\/p>\n<\/div><\/div>
<\/div><\/p>\nThe monitoring carried out on the physical twin is used in the digital twin to simulate, predict and optimise the operation of the monitored physical asset.
\nAplicaciones Tecnol\u00f3gicas SA’s digital twins facilitate proper maintenance, increase efficiency, minimise costs and evaluate the risks of network failures.<\/p>\n
<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image source=”external_link” external_img_size=”full” css_animation=”bottom-to-top” custom_src=”https:\/\/at3w.com\/wp-content\/uploads\/smart-grids-gemelo-digital-aplicaciones-tecnologicas.jpg”][\/vc_column_inner][\/vc_row_inner]
<\/div>[\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” el_id=”noticias”][vc_column]Noticias relacionadas<\/h2><\/div><\/span><\/div><\/div><\/div>[vc_basic_grid post_type=”post” max_items=”4″ style=”load-more” items_per_page=”4″ element_width=”3″ item=”43632″ btn_shape=”square” btn_color=”default” grid_id=”vc_gid:1765383282576-569586b6-71e9-2″ taxonomies=”5568″][\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” bg_type=”bg_color” bg_override=”ex-full” bg_color_value=”#f9f9f9″][vc_column]Contact<\/h2><\/div><\/span><\/div>SMART GRIDS<\/div><\/div><\/div>[vc_row_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][vc_column_inner width=”2\/3″ css=”.vc_custom_1721809566055{padding-top: 30px !important;padding-bottom: 30px !important;border-radius: 5px !important;}”]\n\n<\/p>
<\/ul><\/div>\n
\nAplicaciones Tecnol\u00f3gicas S.A<\/span> can become your partner<\/span> in this transformation process.<\/div><\/div>
The digitalisation of electrical distribution is linked to intelligent networks or Smart Grids. A Smart Grid integrates information and communication technologies (ICT) into the electrical grid. This is a necessity of the energy transformation process to achieve economic development and sustainability objectives.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner]
\n<\/div><\/div><\/div><\/div>Technological allies for the<\/code> digitalisation of electrical distribution<\/h2>\n<\/div>
<\/span><\/div><\/div><\/div><\/p>\nAt Aplicaciones Tecnol\u00f3gicas S.A we are experts in the development of different technologies on which the digitalisation of the electrical network is based:<\/p>\n
<\/div><\/div>
<\/div>[vc_row_inner css=”.vc_custom_1658833502858{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_column_inner width=”1\/4″]\n\n\t\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]<\/div>Data collection<\/h2><\/div><\/p>\nThrough measurement elements (sensors), changes in the monitored network are detected remotely and in real time.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner]
<\/div>[vc_row_inner css=”.vc_custom_1658833473135{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_column_inner width=”1\/4″]\n\n\t\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]<\/div>Accurate diagnostics<\/h2><\/div><\/p>\nTo transmit the data collected by the sensors, both a communication infrastructure and a communication protocol and data model are required. Artificial intelligence (AI) algorithms transform the large amount of data collected by sensors into useful information.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner]
<\/div>[vc_row_inner css=”.vc_custom_1658833485040{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_column_inner width=”1\/4″]\n\n\t\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]<\/div>Objective multi-channel alerts<\/h2><\/div><\/p>\nInformation from processed data facilitates decision-making regarding changes detected in the distribution network. The action elements or actuators enable actions on the monitored physical system.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” seperator_enable=”seperator_enable_value” seperator_type=”tilt_left_seperator” seperator_position=”top_bottom_seperator” seperator_svg_height=”120″ css=”.vc_custom_1718015449958{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#243469″][vc_column]
<\/div>[vc_row_inner][vc_column_inner]<\/p>\nAdvantages of the digitalisation
\nof the electrical network<\/code><\/h2>\n<\/div>
<\/span><\/div><\/div>[\/vc_column_inner][\/vc_row_inner]<\/div>[vc_row_inner gap=”35″][vc_column_inner width=”1\/3″]\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>PREDICTIVEASSET MAINTENANCE<\/h2><\/div><\/p>\nContinuous monitoring allows the transition from corrective maintenance to predictive maintenance<\/a>. This strategy is based on focusing maintenance tasks on the assets most prone to failure thanks to IoT and data processing using AI algorithms. According to studies by several<\/a><\/strong> consulting companies,<\/span> maintenance costs could be reduced by around 21%. <\/span><\/strong><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>NETWORK
\nINCIDENT PREDICTION<\/h2><\/div><\/p>\nReal-time monitoring detects failures in network elements accurately and quickly. In this way, the times for locating the fault, repairing the fault and restoring the supply are reduced. As a consequence, the quality of supply is improved and operation and maintenance costs are reduced.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>ASSET LIFE CYCLE OPTIMISATION
\nAND ADVANCED CONTROL<\/h2><\/div><\/p>\nThe processing by artificial intelligence (AI) of the data obtained with the sensor elements provides objective and useful information for decision making. Furthermore, by means of actuators, the required actions can be executed automatically.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” css=”.vc_custom_1721388406724{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#ffffff”][vc_column][vc_row_inner gap=”35″][vc_column_inner width=”1\/2″]
<\/p>\nDigital twin:<\/code>
\nbenefits and advantages of technology<\/h2>\n<\/div>
<\/span><\/div><\/div><\/div><\/p>\nDigital twin<\/span> technology is very advantageous to manage the state of physical assets, predict this state and improve their efficiency. A digital twin is a virtual model of a physical device, process, or system.<\/span><\/p>\n<\/div><\/div>
<\/div><\/p>\nThe monitoring carried out on the physical twin is used in the digital twin to simulate, predict and optimise the operation of the monitored physical asset.
\nAplicaciones Tecnol\u00f3gicas SA’s digital twins facilitate proper maintenance, increase efficiency, minimise costs and evaluate the risks of network failures.<\/p>\n
<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image source=”external_link” external_img_size=”full” css_animation=”bottom-to-top” custom_src=”https:\/\/at3w.com\/wp-content\/uploads\/smart-grids-gemelo-digital-aplicaciones-tecnologicas.jpg”][\/vc_column_inner][\/vc_row_inner]
<\/div>[\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” el_id=”noticias”][vc_column]Noticias relacionadas<\/h2><\/div><\/span><\/div><\/div><\/div>[vc_basic_grid post_type=”post” max_items=”4″ style=”load-more” items_per_page=”4″ element_width=”3″ item=”43632″ btn_shape=”square” btn_color=”default” grid_id=”vc_gid:1765383282576-569586b6-71e9-2″ taxonomies=”5568″][\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” bg_type=”bg_color” bg_override=”ex-full” bg_color_value=”#f9f9f9″][vc_column]Contact<\/h2><\/div><\/span><\/div>SMART GRIDS<\/div><\/div><\/div>[vc_row_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][vc_column_inner width=”2\/3″ css=”.vc_custom_1721809566055{padding-top: 30px !important;padding-bottom: 30px !important;border-radius: 5px !important;}”]\n\n<\/p>
<\/ul><\/div>\n
<\/div>
At Aplicaciones Tecnol\u00f3gicas S.A we are experts in the development of different technologies on which the digitalisation of the electrical network is based:<\/p>\n
<\/div><\/div>
\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]Data collection<\/h2><\/div><\/p>\nThrough measurement elements (sensors), changes in the monitored network are detected remotely and in real time.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner]
<\/div>[vc_row_inner css=”.vc_custom_1658833473135{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_column_inner width=”1\/4″]\n\n\t\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]<\/div>Accurate diagnostics<\/h2><\/div><\/p>\nTo transmit the data collected by the sensors, both a communication infrastructure and a communication protocol and data model are required. Artificial intelligence (AI) algorithms transform the large amount of data collected by sensors into useful information.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner]
<\/div>[vc_row_inner css=”.vc_custom_1658833485040{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_column_inner width=”1\/4″]\n\n\t\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]<\/div>Objective multi-channel alerts<\/h2><\/div><\/p>\nInformation from processed data facilitates decision-making regarding changes detected in the distribution network. The action elements or actuators enable actions on the monitored physical system.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” seperator_enable=”seperator_enable_value” seperator_type=”tilt_left_seperator” seperator_position=”top_bottom_seperator” seperator_svg_height=”120″ css=”.vc_custom_1718015449958{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#243469″][vc_column]
<\/div>[vc_row_inner][vc_column_inner]<\/p>\nAdvantages of the digitalisation
\nof the electrical network<\/code><\/h2>\n<\/div>
<\/span><\/div><\/div>[\/vc_column_inner][\/vc_row_inner]<\/div>[vc_row_inner gap=”35″][vc_column_inner width=”1\/3″]\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>PREDICTIVEASSET MAINTENANCE<\/h2><\/div><\/p>\nContinuous monitoring allows the transition from corrective maintenance to predictive maintenance<\/a>. This strategy is based on focusing maintenance tasks on the assets most prone to failure thanks to IoT and data processing using AI algorithms. According to studies by several<\/a><\/strong> consulting companies,<\/span> maintenance costs could be reduced by around 21%. <\/span><\/strong><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>NETWORK
\nINCIDENT PREDICTION<\/h2><\/div><\/p>\nReal-time monitoring detects failures in network elements accurately and quickly. In this way, the times for locating the fault, repairing the fault and restoring the supply are reduced. As a consequence, the quality of supply is improved and operation and maintenance costs are reduced.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>ASSET LIFE CYCLE OPTIMISATION
\nAND ADVANCED CONTROL<\/h2><\/div><\/p>\nThe processing by artificial intelligence (AI) of the data obtained with the sensor elements provides objective and useful information for decision making. Furthermore, by means of actuators, the required actions can be executed automatically.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” css=”.vc_custom_1721388406724{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#ffffff”][vc_column][vc_row_inner gap=”35″][vc_column_inner width=”1\/2″]
<\/p>\nDigital twin:<\/code>
\nbenefits and advantages of technology<\/h2>\n<\/div>
<\/span><\/div><\/div><\/div><\/p>\nDigital twin<\/span> technology is very advantageous to manage the state of physical assets, predict this state and improve their efficiency. A digital twin is a virtual model of a physical device, process, or system.<\/span><\/p>\n<\/div><\/div>
<\/div><\/p>\nThe monitoring carried out on the physical twin is used in the digital twin to simulate, predict and optimise the operation of the monitored physical asset.
\nAplicaciones Tecnol\u00f3gicas SA’s digital twins facilitate proper maintenance, increase efficiency, minimise costs and evaluate the risks of network failures.<\/p>\n
<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image source=”external_link” external_img_size=”full” css_animation=”bottom-to-top” custom_src=”https:\/\/at3w.com\/wp-content\/uploads\/smart-grids-gemelo-digital-aplicaciones-tecnologicas.jpg”][\/vc_column_inner][\/vc_row_inner]
<\/div>[\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” el_id=”noticias”][vc_column]Noticias relacionadas<\/h2><\/div><\/span><\/div><\/div><\/div>[vc_basic_grid post_type=”post” max_items=”4″ style=”load-more” items_per_page=”4″ element_width=”3″ item=”43632″ btn_shape=”square” btn_color=”default” grid_id=”vc_gid:1765383282576-569586b6-71e9-2″ taxonomies=”5568″][\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” bg_type=”bg_color” bg_override=”ex-full” bg_color_value=”#f9f9f9″][vc_column]Contact<\/h2><\/div><\/span><\/div>SMART GRIDS<\/div><\/div><\/div>[vc_row_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][vc_column_inner width=”2\/3″ css=”.vc_custom_1721809566055{padding-top: 30px !important;padding-bottom: 30px !important;border-radius: 5px !important;}”]\n\n<\/p>
<\/ul><\/div>\n
Through measurement elements (sensors), changes in the monitored network are detected remotely and in real time.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner]
\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]Accurate diagnostics<\/h2><\/div><\/p>\nTo transmit the data collected by the sensors, both a communication infrastructure and a communication protocol and data model are required. Artificial intelligence (AI) algorithms transform the large amount of data collected by sensors into useful information.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner]
<\/div>[vc_row_inner css=”.vc_custom_1658833485040{margin-top: 0px !important;margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”][vc_column_inner width=”1\/4″]\n\n\t\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]<\/div>Objective multi-channel alerts<\/h2><\/div><\/p>\nInformation from processed data facilitates decision-making regarding changes detected in the distribution network. The action elements or actuators enable actions on the monitored physical system.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” seperator_enable=”seperator_enable_value” seperator_type=”tilt_left_seperator” seperator_position=”top_bottom_seperator” seperator_svg_height=”120″ css=”.vc_custom_1718015449958{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#243469″][vc_column]
<\/div>[vc_row_inner][vc_column_inner]<\/p>\nAdvantages of the digitalisation
\nof the electrical network<\/code><\/h2>\n<\/div>
<\/span><\/div><\/div>[\/vc_column_inner][\/vc_row_inner]<\/div>[vc_row_inner gap=”35″][vc_column_inner width=”1\/3″]\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>PREDICTIVEASSET MAINTENANCE<\/h2><\/div><\/p>\nContinuous monitoring allows the transition from corrective maintenance to predictive maintenance<\/a>. This strategy is based on focusing maintenance tasks on the assets most prone to failure thanks to IoT and data processing using AI algorithms. According to studies by several<\/a><\/strong> consulting companies,<\/span> maintenance costs could be reduced by around 21%. <\/span><\/strong><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>NETWORK
\nINCIDENT PREDICTION<\/h2><\/div><\/p>\nReal-time monitoring detects failures in network elements accurately and quickly. In this way, the times for locating the fault, repairing the fault and restoring the supply are reduced. As a consequence, the quality of supply is improved and operation and maintenance costs are reduced.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>ASSET LIFE CYCLE OPTIMISATION
\nAND ADVANCED CONTROL<\/h2><\/div><\/p>\nThe processing by artificial intelligence (AI) of the data obtained with the sensor elements provides objective and useful information for decision making. Furthermore, by means of actuators, the required actions can be executed automatically.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” css=”.vc_custom_1721388406724{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#ffffff”][vc_column][vc_row_inner gap=”35″][vc_column_inner width=”1\/2″]
<\/p>\nDigital twin:<\/code>
\nbenefits and advantages of technology<\/h2>\n<\/div>
<\/span><\/div><\/div><\/div><\/p>\nDigital twin<\/span> technology is very advantageous to manage the state of physical assets, predict this state and improve their efficiency. A digital twin is a virtual model of a physical device, process, or system.<\/span><\/p>\n<\/div><\/div>
<\/div><\/p>\nThe monitoring carried out on the physical twin is used in the digital twin to simulate, predict and optimise the operation of the monitored physical asset.
\nAplicaciones Tecnol\u00f3gicas SA’s digital twins facilitate proper maintenance, increase efficiency, minimise costs and evaluate the risks of network failures.<\/p>\n
<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image source=”external_link” external_img_size=”full” css_animation=”bottom-to-top” custom_src=”https:\/\/at3w.com\/wp-content\/uploads\/smart-grids-gemelo-digital-aplicaciones-tecnologicas.jpg”][\/vc_column_inner][\/vc_row_inner]
<\/div>[\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” el_id=”noticias”][vc_column]Noticias relacionadas<\/h2><\/div><\/span><\/div><\/div><\/div>[vc_basic_grid post_type=”post” max_items=”4″ style=”load-more” items_per_page=”4″ element_width=”3″ item=”43632″ btn_shape=”square” btn_color=”default” grid_id=”vc_gid:1765383282576-569586b6-71e9-2″ taxonomies=”5568″][\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” bg_type=”bg_color” bg_override=”ex-full” bg_color_value=”#f9f9f9″][vc_column]Contact<\/h2><\/div><\/span><\/div>SMART GRIDS<\/div><\/div><\/div>[vc_row_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][vc_column_inner width=”2\/3″ css=”.vc_custom_1721809566055{padding-top: 30px !important;padding-bottom: 30px !important;border-radius: 5px !important;}”]\n\n<\/p>
<\/ul><\/div>\n
To transmit the data collected by the sensors, both a communication infrastructure and a communication protocol and data model are required. Artificial intelligence (AI) algorithms transform the large amount of data collected by sensors into useful information.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner]
\n<\/div><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”3\/4″]Objective multi-channel alerts<\/h2><\/div><\/p>\nInformation from processed data facilitates decision-making regarding changes detected in the distribution network. The action elements or actuators enable actions on the monitored physical system.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” seperator_enable=”seperator_enable_value” seperator_type=”tilt_left_seperator” seperator_position=”top_bottom_seperator” seperator_svg_height=”120″ css=”.vc_custom_1718015449958{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#243469″][vc_column]
<\/div>[vc_row_inner][vc_column_inner]<\/p>\nAdvantages of the digitalisation
\nof the electrical network<\/code><\/h2>\n<\/div>
<\/span><\/div><\/div>[\/vc_column_inner][\/vc_row_inner]<\/div>[vc_row_inner gap=”35″][vc_column_inner width=”1\/3″]\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>PREDICTIVEASSET MAINTENANCE<\/h2><\/div><\/p>\nContinuous monitoring allows the transition from corrective maintenance to predictive maintenance<\/a>. This strategy is based on focusing maintenance tasks on the assets most prone to failure thanks to IoT and data processing using AI algorithms. According to studies by several<\/a><\/strong> consulting companies,<\/span> maintenance costs could be reduced by around 21%. <\/span><\/strong><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>NETWORK
\nINCIDENT PREDICTION<\/h2><\/div><\/p>\nReal-time monitoring detects failures in network elements accurately and quickly. In this way, the times for locating the fault, repairing the fault and restoring the supply are reduced. As a consequence, the quality of supply is improved and operation and maintenance costs are reduced.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>ASSET LIFE CYCLE OPTIMISATION
\nAND ADVANCED CONTROL<\/h2><\/div><\/p>\nThe processing by artificial intelligence (AI) of the data obtained with the sensor elements provides objective and useful information for decision making. Furthermore, by means of actuators, the required actions can be executed automatically.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” css=”.vc_custom_1721388406724{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#ffffff”][vc_column][vc_row_inner gap=”35″][vc_column_inner width=”1\/2″]
<\/p>\nDigital twin:<\/code>
\nbenefits and advantages of technology<\/h2>\n<\/div>
<\/span><\/div><\/div><\/div><\/p>\nDigital twin<\/span> technology is very advantageous to manage the state of physical assets, predict this state and improve their efficiency. A digital twin is a virtual model of a physical device, process, or system.<\/span><\/p>\n<\/div><\/div>
<\/div><\/p>\nThe monitoring carried out on the physical twin is used in the digital twin to simulate, predict and optimise the operation of the monitored physical asset.
\nAplicaciones Tecnol\u00f3gicas SA’s digital twins facilitate proper maintenance, increase efficiency, minimise costs and evaluate the risks of network failures.<\/p>\n
<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image source=”external_link” external_img_size=”full” css_animation=”bottom-to-top” custom_src=”https:\/\/at3w.com\/wp-content\/uploads\/smart-grids-gemelo-digital-aplicaciones-tecnologicas.jpg”][\/vc_column_inner][\/vc_row_inner]
<\/div>[\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” el_id=”noticias”][vc_column]Noticias relacionadas<\/h2><\/div><\/span><\/div><\/div><\/div>[vc_basic_grid post_type=”post” max_items=”4″ style=”load-more” items_per_page=”4″ element_width=”3″ item=”43632″ btn_shape=”square” btn_color=”default” grid_id=”vc_gid:1765383282576-569586b6-71e9-2″ taxonomies=”5568″][\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” bg_type=”bg_color” bg_override=”ex-full” bg_color_value=”#f9f9f9″][vc_column]Contact<\/h2><\/div><\/span><\/div>SMART GRIDS<\/div><\/div><\/div>[vc_row_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][vc_column_inner width=”2\/3″ css=”.vc_custom_1721809566055{padding-top: 30px !important;padding-bottom: 30px !important;border-radius: 5px !important;}”]\n\n<\/p>
<\/ul><\/div>\n
Information from processed data facilitates decision-making regarding changes detected in the distribution network. The action elements or actuators enable actions on the monitored physical system.<\/p>\n
<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” seperator_enable=”seperator_enable_value” seperator_type=”tilt_left_seperator” seperator_position=”top_bottom_seperator” seperator_svg_height=”120″ css=”.vc_custom_1718015449958{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#243469″][vc_column]
Advantages of the digitalisation
\nof the electrical network<\/code><\/h2>\n<\/div>
<\/span><\/div><\/div>[\/vc_column_inner][\/vc_row_inner]<\/div>[vc_row_inner gap=”35″][vc_column_inner width=”1\/3″]\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>PREDICTIVEASSET MAINTENANCE<\/h2><\/div><\/p>\nContinuous monitoring allows the transition from corrective maintenance to predictive maintenance<\/a>. This strategy is based on focusing maintenance tasks on the assets most prone to failure thanks to IoT and data processing using AI algorithms. According to studies by several<\/a><\/strong> consulting companies,<\/span> maintenance costs could be reduced by around 21%. <\/span><\/strong><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>NETWORK
\nINCIDENT PREDICTION<\/h2><\/div><\/p>\nReal-time monitoring detects failures in network elements accurately and quickly. In this way, the times for locating the fault, repairing the fault and restoring the supply are reduced. As a consequence, the quality of supply is improved and operation and maintenance costs are reduced.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>ASSET LIFE CYCLE OPTIMISATION
\nAND ADVANCED CONTROL<\/h2><\/div><\/p>\nThe processing by artificial intelligence (AI) of the data obtained with the sensor elements provides objective and useful information for decision making. Furthermore, by means of actuators, the required actions can be executed automatically.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” css=”.vc_custom_1721388406724{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#ffffff”][vc_column][vc_row_inner gap=”35″][vc_column_inner width=”1\/2″]
<\/p>\nDigital twin:<\/code>
\nbenefits and advantages of technology<\/h2>\n<\/div>
<\/span><\/div><\/div><\/div><\/p>\nDigital twin<\/span> technology is very advantageous to manage the state of physical assets, predict this state and improve their efficiency. A digital twin is a virtual model of a physical device, process, or system.<\/span><\/p>\n<\/div><\/div>
<\/div><\/p>\nThe monitoring carried out on the physical twin is used in the digital twin to simulate, predict and optimise the operation of the monitored physical asset.
\nAplicaciones Tecnol\u00f3gicas SA’s digital twins facilitate proper maintenance, increase efficiency, minimise costs and evaluate the risks of network failures.<\/p>\n
<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image source=”external_link” external_img_size=”full” css_animation=”bottom-to-top” custom_src=”https:\/\/at3w.com\/wp-content\/uploads\/smart-grids-gemelo-digital-aplicaciones-tecnologicas.jpg”][\/vc_column_inner][\/vc_row_inner]
<\/div>[\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” el_id=”noticias”][vc_column]Noticias relacionadas<\/h2><\/div><\/span><\/div><\/div><\/div>[vc_basic_grid post_type=”post” max_items=”4″ style=”load-more” items_per_page=”4″ element_width=”3″ item=”43632″ btn_shape=”square” btn_color=”default” grid_id=”vc_gid:1765383282576-569586b6-71e9-2″ taxonomies=”5568″][\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” bg_type=”bg_color” bg_override=”ex-full” bg_color_value=”#f9f9f9″][vc_column]Contact<\/h2><\/div><\/span><\/div>SMART GRIDS<\/div><\/div><\/div>[vc_row_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][vc_column_inner width=”2\/3″ css=”.vc_custom_1721809566055{padding-top: 30px !important;padding-bottom: 30px !important;border-radius: 5px !important;}”]\n\n<\/p>
<\/ul><\/div>\n
\nof the electrical network<\/code><\/h2>\n
<\/div>
\n<\/div><\/div><\/div>PREDICTIVEASSET MAINTENANCE<\/h2><\/div><\/p>\nContinuous monitoring allows the transition from corrective maintenance to predictive maintenance<\/a>. This strategy is based on focusing maintenance tasks on the assets most prone to failure thanks to IoT and data processing using AI algorithms. According to studies by several<\/a><\/strong> consulting companies,<\/span> maintenance costs could be reduced by around 21%. <\/span><\/strong><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>NETWORK
\nINCIDENT PREDICTION<\/h2><\/div><\/p>\nReal-time monitoring detects failures in network elements accurately and quickly. In this way, the times for locating the fault, repairing the fault and restoring the supply are reduced. As a consequence, the quality of supply is improved and operation and maintenance costs are reduced.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]
\n\n\t\n<\/div><\/div><\/div><\/div>\t\t<\/div>ASSET LIFE CYCLE OPTIMISATION
\nAND ADVANCED CONTROL<\/h2><\/div><\/p>\nThe processing by artificial intelligence (AI) of the data obtained with the sensor elements provides objective and useful information for decision making. Furthermore, by means of actuators, the required actions can be executed automatically.<\/span><\/p>\n<\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” css=”.vc_custom_1721388406724{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#ffffff”][vc_column][vc_row_inner gap=”35″][vc_column_inner width=”1\/2″]
<\/p>\nDigital twin:<\/code>
\nbenefits and advantages of technology<\/h2>\n<\/div>
<\/span><\/div><\/div><\/div><\/p>\nDigital twin<\/span> technology is very advantageous to manage the state of physical assets, predict this state and improve their efficiency. A digital twin is a virtual model of a physical device, process, or system.<\/span><\/p>\n<\/div><\/div>
<\/div><\/p>\nThe monitoring carried out on the physical twin is used in the digital twin to simulate, predict and optimise the operation of the monitored physical asset.
\nAplicaciones Tecnol\u00f3gicas SA’s digital twins facilitate proper maintenance, increase efficiency, minimise costs and evaluate the risks of network failures.<\/p>\n
<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image source=”external_link” external_img_size=”full” css_animation=”bottom-to-top” custom_src=”https:\/\/at3w.com\/wp-content\/uploads\/smart-grids-gemelo-digital-aplicaciones-tecnologicas.jpg”][\/vc_column_inner][\/vc_row_inner]
<\/div>[\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” el_id=”noticias”][vc_column]Noticias relacionadas<\/h2><\/div><\/span><\/div><\/div><\/div>[vc_basic_grid post_type=”post” max_items=”4″ style=”load-more” items_per_page=”4″ element_width=”3″ item=”43632″ btn_shape=”square” btn_color=”default” grid_id=”vc_gid:1765383282576-569586b6-71e9-2″ taxonomies=”5568″][\/vc_column][\/vc_row][vc_row gap=”35″ css_animation=”fadeIn” disable_element=”yes” bg_type=”bg_color” bg_override=”ex-full” bg_color_value=”#f9f9f9″][vc_column]Contact<\/h2><\/div><\/span><\/div>SMART GRIDS<\/div><\/div><\/div>[vc_row_inner][vc_column_inner width=”1\/6″][\/vc_column_inner][vc_column_inner width=”2\/3″ css=”.vc_custom_1721809566055{padding-top: 30px !important;padding-bottom: 30px !important;border-radius: 5px !important;}”]\n\n<\/p>
<\/ul><\/div>\n
Continuous monitoring allows the transition from corrective maintenance to predictive maintenance<\/a>. This strategy is based on focusing maintenance tasks on the assets most prone to failure thanks to IoT and data processing using AI algorithms. According to studies by several<\/a><\/strong> consulting companies,<\/span> maintenance costs could be reduced by around 21%. <\/span><\/strong><\/p>\n <\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″] Real-time monitoring detects failures in network elements accurately and quickly. In this way, the times for locating the fault, repairing the fault and restoring the supply are reduced. As a consequence, the quality of supply is improved and operation and maintenance costs are reduced.<\/span><\/p>\n <\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″] The processing by artificial intelligence (AI) of the data obtained with the sensor elements provides objective and useful information for decision making. Furthermore, by means of actuators, the required actions can be executed automatically.<\/span><\/p>\n <\/div><\/div>\t\t<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”fadeIn” bg_type=”bg_color” bg_override=”ex-full” css=”.vc_custom_1721388406724{padding-top: 80px !important;padding-bottom: 80px !important;}” bg_color_value=”#ffffff”][vc_column][vc_row_inner gap=”35″][vc_column_inner width=”1\/2″] <\/div> Digital twin<\/span> technology is very advantageous to manage the state of physical assets, predict this state and improve their efficiency. A digital twin is a virtual model of a physical device, process, or system.<\/span><\/p>\n <\/div><\/div> The monitoring carried out on the physical twin is used in the digital twin to simulate, predict and optimise the operation of the monitored physical asset. <\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/2″][vc_single_image source=”external_link” external_img_size=”full” css_animation=”bottom-to-top” custom_src=”https:\/\/at3w.com\/wp-content\/uploads\/smart-grids-gemelo-digital-aplicaciones-tecnologicas.jpg”][\/vc_column_inner][\/vc_row_inner] <\/p> \n<\/div><\/div><\/div>NETWORK
\nINCIDENT PREDICTION<\/h2><\/div>\n<\/div><\/div><\/div>ASSET LIFE CYCLE OPTIMISATION
\nAND ADVANCED CONTROL<\/h2><\/div>Digital twin:<\/code>
\nbenefits and advantages of technology<\/h2>\n
\nAplicaciones Tecnol\u00f3gicas SA’s digital twins facilitate proper maintenance, increase efficiency, minimise costs and evaluate the risks of network failures.<\/p>\nNoticias relacionadas<\/h2><\/div>
Contact<\/h2><\/div>
<\/ul><\/div>\n