{"id":79,"date":"2022-05-20T11:36:01","date_gmt":"2022-05-20T09:36:01","guid":{"rendered":"https:\/\/asdea.eu\/hardware\/?page_id=79"},"modified":"2023-06-20T14:15:02","modified_gmt":"2023-06-20T12:15:02","slug":"monstr-digital-twinning","status":"publish","type":"page","link":"https:\/\/asdea.eu\/hardware\/monstr-digital-twinning\/","title":{"rendered":"MonStr Digital Twinning"},"content":{"rendered":"\n\n[et_pb_section fb_built=”1″ admin_label=”Header” _builder_version=”4.16″ custom_margin=”||” custom_padding=”6vw||0px|||” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.17.6″ custom_margin=”|auto||auto|false|false” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.6″ text_text_color=”#666666″ text_font_size=”16px” text_line_height=”1.6em” header_text_color=”#7C9E76″ header_font_size=”150px” header_line_height=”1.2em” header_3_font=”|300|||||||” header_3_text_color=”#666666″ header_3_font_size=”40px” text_orientation=”center” width=”83.1%” custom_margin=”|79px||||” custom_padding=”|0px||||” header_font_tablet=”” header_font_phone=”” header_font_last_edited=”on|desktop” header_font_size_tablet=”40px” header_font_size_phone=”40px” header_font_size_last_edited=”on|phone” locked=”off” global_colors_info=”{}”]

MonStr<\/h3>\n

Digital Twinning<\/h1>[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/asdea.eu\/hardware\/wp-content\/uploads\/sites\/2\/2022\/09\/Untitled-design-13.png” _builder_version=”4.19.0″ width=”160%” max_width_tablet=”400px” max_width_phone=”300px” max_width_last_edited=”on|desktop” custom_margin=”|-6vw||-70px||” custom_margin_tablet=”6vw|||0px” custom_margin_phone=”” custom_margin_last_edited=”on|tablet” custom_padding=”|||18px||” hover_enabled=”0″ box_shadow_style=”preset4″ box_shadow_horizontal=”6vw” box_shadow_vertical=”-6vw” box_shadow_color=”#7C9E76″ locked=”off” global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ make_equal=”on” specialty=”on” custom_padding_last_edited=”off|tablet” bg_img_1=”https:\/\/asdea.eu\/hardware\/wp-content\/uploads\/sites\/2\/2022\/06\/hard-hom.jpg” use_background_color_gradient_1=”on” background_color_gradient_direction_1=”90deg” background_color_gradient_stops_1=”rgba(0,0,0,0) 80%|#ffffff 80%” background_color_gradient_start_1=”rgba(0,0,0,0)” background_color_gradient_end_1=”#ffffff” background_color_gradient_start_position_1=”80%” background_color_gradient_end_position_1=”80%” background_color_gradient_overlays_image_1=”on” padding_top_2=”100px” padding_top_3=”100px” padding_1_tablet=”0px||300px|” padding_2_tablet=”0px|5vw||10vw” padding_1_phone=”||250px|” padding_2_phone=”” padding_1_last_edited=”off|phone” padding_2_last_edited=”on|phone” admin_label=”Feature List” _builder_version=”4.17.6″ width=”95%” max_width=”1600px” inner_width=”100%” inner_max_width=”none” inner_module_alignment=”right” custom_padding_tablet=”|40px||0px” custom_padding_phone=”|30px||” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ admin_label=”Column” _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.6″ text_font_size=”16px” text_line_height=”1.6em” header_font=”||||||||” header_2_font=”Gentium Basic|700|||||||” header_2_font_size=”50px” header_3_font=”|300|||||||” header_3_text_color=”#FFFFFF” background_color=”#7C9E76″ transform_translate_linked=”off” transform_rotate_tablet=”” transform_rotate_phone=”” transform_rotate_last_edited=”on|desktop” transform_skew_tablet=”” transform_skew_phone=”” transform_skew_last_edited=”on|desktop” transform_origin_tablet=”” transform_origin_phone=”” transform_origin_last_edited=”on|desktop” max_width=”340px” module_alignment=”right” custom_padding=”140px|40px|40px|40px|false|true” custom_padding_tablet=”” custom_padding_phone=”30px|30px|30px|30px|true|true” custom_padding_last_edited=”on|desktop” header_2_font_size_tablet=”40px” header_2_font_size_phone=”25px” box_shadow_style=”preset1″ box_shadow_vertical=”80px” box_shadow_blur=”80px” box_shadow_spread=”-30px” locked=”off” global_colors_info=”{}”]

Advanced Technology<\/h3>[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ specialty_columns=”2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_row_inner _builder_version=”4.17.6″ global_colors_info=”{}”][et_pb_column_inner saved_specialty_column_type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.6″ text_text_color=”#3C3C3A” text_font_size=”16px” text_line_height=”1.8em” header_font=”||||||||” header_2_text_color=”#666666″ header_2_font_size=”50px” header_4_font=”Gentium Basic|700|||||||” header_4_font_size=”40px” header_4_line_height=”1.2em” custom_padding=”||17px|||” header_2_font_size_tablet=”40px” header_2_font_size_phone=”25px” header_4_font_size_tablet=”30px” header_4_font_size_phone=”22px” locked=”off” global_colors_info=”{}”]

Integrated Data and Model Driven Methods<\/h2>\n

 <\/p>\n

We are proud to have developed the most advanced digital twin technology<\/strong> available on the market. Our system is unique because all parts of our patent-pending MonStr Hardware system<\/strong>, from the MonStr AI to the MonStr nodes to the STKO software, were developed in-house.<\/p>\n

To prevent data loss, we designed all the software and hardware components to work using the same data format<\/strong>. Sensor collected data are written in the HDF5 database<\/strong>, which is the same database used by STKO. STKO, with extended capabilities and AI algorithms<\/strong> specific for the MonStr system, then creates the digital twin replica of the structure, which is updated continuously with the new information from the sensors.<\/span><\/p>[\/et_pb_text][\/et_pb_column_inner][\/et_pb_row_inner][\/et_pb_column][\/et_pb_section][et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.17.6″ _module_preset=”default” custom_margin=”-3em||||false|false” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_fullwidth_image src=”https:\/\/asdea.eu\/hardware\/wp-content\/uploads\/sites\/2\/2022\/11\/digital-twin-bridgeRisorsa-3.png” _builder_version=”4.19.0″ _module_preset=”default” width=”50%” module_alignment=”center” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_fullwidth_image][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Services” _builder_version=”4.17.6″ background_color=”#f7f7f7″ width=”100%” custom_margin=”3em||10em||false|false” custom_margin_tablet=”||10em||false|false” custom_margin_phone=”||10em||false|false” custom_margin_last_edited=”on|phone” custom_padding=”||||true|false” border_color_all=”#ffffff” border_width_left=”6vw” global_colors_info=”{}”][et_pb_row _builder_version=”4.17.6″ custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” custom_padding=”0em||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.6″ text_text_color=”#3C3C3A” text_font_size=”16px” text_line_height=”1.8em” header_font=”||||||||” header_2_font=”||||||||” header_3_font=”|300|||||||” header_3_text_color=”#666666″ header_3_line_height=”1.2em” module_alignment=”center” header_3_font_size_tablet=”30px” header_3_font_size_phone=”22px” header_3_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}”]

Digital Twinning<\/h3>\n

<\/span><\/p>\n

Using AI<\/strong> and the Data collected from the MonStr Network<\/strong>, the Digital Twin technology<\/strong> creates a digital Finite Elements Model<\/strong> replica of the structure. The digital replica is constantly updated to match changes in real-time<\/strong>, making it possible to predict the future behavior of the structure and simulate its behavior under stress. This improves maintenance planning, repairs, and structural reinforcement operations<\/strong>.<\/span><\/p>\n

Digital twins are created through the following steps:<\/span><\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/asdea.eu\/hardware\/wp-content\/uploads\/sites\/2\/2022\/06\/bridge-opzione1-1.png” _builder_version=”4.19.0″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.19.0″ text_text_color=”#3C3C3A” text_font_size=”16px” text_line_height=”1.8em” header_font=”||||||||” header_2_font=”||||||||” header_3_font=”||||||||” header_3_text_color=”#7C9E76″ header_3_line_height=”1.2em” header_4_text_color=”#7C9E76″ header_4_font_size=”25px” module_alignment=”center” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” custom_padding=”4em||||false|false” custom_padding_tablet=”0em||||false|false” custom_padding_phone=”0em||||false|false” custom_padding_last_edited=”on|tablet” header_3_font_size_tablet=”30px” header_3_font_size_phone=”22px” header_3_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}”]

1.<\/h4>\nA FEM Model is created and calibrated with AI to accurately reflect the current conditions of the structure.\nThis matching is not only performed when the model is created but continuously performed so that the numerical twin tracks any changes the physical structure undergoes.[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.17.6″ global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.19.0″ text_text_color=”#3C3C3A” text_font_size=”16px” text_line_height=”1.8em” header_font=”||||||||” header_2_font=”||||||||” header_3_font=”||||||||” header_3_text_color=”#7C9E76″ header_3_line_height=”1.2em” header_4_text_color=”#7C9E76″ header_4_font_size=”25px” module_alignment=”center” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” custom_padding=”4em||||false|false” custom_padding_tablet=”0em||||false|false” custom_padding_phone=”0em||||false|false” custom_padding_last_edited=”on|tablet” header_3_font_size_tablet=”30px” header_3_font_size_phone=”22px” header_3_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}”]

2.<\/h4>\nThe structure is then subjected to continuous monitoring and data recording. The collected data are fed to the AI algorithms that have been trained to recognize signal anomalies that reflect possible structural damage. The data is contemporaneously used to update the FEM model. [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/asdea.eu\/hardware\/wp-content\/uploads\/sites\/2\/2022\/09\/sensor-bridge.png” _builder_version=”4.19.0″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.17.6″ module_alignment_tablet=”” module_alignment_phone=”” module_alignment_last_edited=”on|tablet” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/asdea.eu\/hardware\/wp-content\/uploads\/sites\/2\/2022\/09\/ponte-animato.gif” _builder_version=”4.19.0″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.6″ text_text_color=”#3C3C3A” text_font_size=”16px” text_line_height=”1.8em” header_font=”||||||||” header_2_font=”||||||||” header_3_font=”||||||||” header_3_text_color=”#7C9E76″ header_3_line_height=”1.2em” header_4_text_color=”#7C9E76″ header_4_font_size=”25px” module_alignment=”center” custom_padding=”||||false|false” header_3_font_size_tablet=”30px” header_3_font_size_phone=”22px” header_3_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}”]

3.<\/h4>\n

The data is processed with AI, and the Digital Twin model is continuously updated to reflect any changes signaled by the data. Digital twinning can provide information on the entire structure and not just on the sensor positions (which is all traditional SHM technology can do).<\/span>
The digital twin provides information on stresses, strains, displacements, velocities, accelerations, vibrations, cracks, settlements, temperature, humidity, and damage.<\/span><\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ fullwidth=”on” next_background_color=”#3c3c3a” _builder_version=”4.17.6″ _module_preset=”default” bottom_divider_style=”arrow3″ global_colors_info=”{}”][et_pb_fullwidth_code _builder_version=”4.17.6″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_fullwidth_code][\/et_pb_section]\n\n","protected":false},"excerpt":{"rendered":"

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