{"id":16553,"date":"2020-07-22T08:27:00","date_gmt":"2020-07-22T06:27:00","guid":{"rendered":"https:\/\/zema.de\/?post_type=dt_portfolio&#038;p=16553"},"modified":"2021-02-23T09:35:24","modified_gmt":"2021-02-23T08:35:24","slug":"met4fof","status":"publish","type":"dt_portfolio","link":"https:\/\/zema.de\/en\/projekt\/met4fof\/","title":{"rendered":"Met4FoF"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><div class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-69e0b9d133b85\" data-id=\"69e0b9d133b85\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><div class=\"hr-thin style-line\" style=\"width: 100%;border-top-width: 1px;\"><\/div><div class=\"ult-spacer spacer-69e0b9d133bcb\" data-id=\"69e0b9d133bcb\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><div class=\"dt-fancy-separator h1-size\" style=\"width: 100%;\"><div class=\"dt-fancy-title\"><span class=\"separator-holder separator-left\"><\/span>Met4FoF \u2013 Metrology for the Factory of the Future<span class=\"separator-holder separator-right\"><\/span><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-69e0b9d1342e3\" data-id=\"69e0b9d1342e3\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div>\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: center;\"><span style=\"display: inline !important; float: none; background-color: #ffffff; color: #8b8d94; font-family: 'Encode Regular',Helvetica,Arial,Verdana,sans-serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;\">The Factory of the Future (FoF) as a networked production environment with an autonomous flow of information and decision-making represents the digital transformation of manufacturing to increase efficiency and competitiveness. Transparency, comparability and sustainable quality assurance require reliable measurement data, processing methods and results.<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-69e0b9d1349bb\" data-id=\"69e0b9d1349bb\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><div class=\"hr-thin style-line\" style=\"width: 100%;border-top-width: 1px;\"><\/div><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_row-fluid wpb_animate_when_almost_visible wpb_slideInUp slideInUp\"><div class=\"right wpb_column vc_column_container vc_col-sm-8\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-69e0b9d134ee3\" data-id=\"69e0b9d134ee3\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><style type=\"text\/css\" data-type=\"the7_shortcodes-inline-css\">.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon {\n  width: 128px;\n  height: 128px;\n  line-height: 128px;\n  font-size: 64px;\n  border-radius: 200px;\n  margin: 90px 0px 0px 60px;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon .icon-inner {\n  min-width: 128px;\n  min-height: 128px;\n  border-radius: 200px;\n}\n@media all and (-ms-high-contrast: none) {\n  .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon .icon-inner {\n    height: 128px;\n  }\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon .dt-hover-icon {\n  line-height: 128px;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon:before,\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon:after,\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon .icon-inner:before,\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon .icon-inner:after {\n  min-width: 100%;\n  min-height: 100%;\n  padding: inherit;\n  border-radius: inherit;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-border-on:before {\n  border-width: 2px;\n  border-style: solid;\n}\n.dt-icon-border-dashed.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-border-on:before {\n  border-style: dashed;\n}\n.dt-icon-border-dotted.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-border-on:before {\n  border-style: dotted;\n}\n.dt-icon-border-double.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-border-on:before {\n  border-style: double;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-border-dashed.dt-icon-border-on:before {\n  border-style: dashed;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-border-dotted.dt-icon-border-on:before {\n  border-style: dotted;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-border-double.dt-icon-border-on:before {\n  border-style: double;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-border-on:after {\n  border-width: 2px;\n  border-style: solid;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-border-dashed.dt-icon-hover-border-on:after {\n  border-style: dashed;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-border-dotted.dt-icon-hover-border-on:after {\n  border-style: dotted;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-border-double.dt-icon-hover-border-on:after {\n  border-style: double;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-on:hover {\n  font-size: 64px;\n}\n#page .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-on:hover .soc-font-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-on:hover .soc-font-icon,\n#page .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-on:hover .soc-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-on:hover .soc-icon {\n  color: #fff;\n  background: none;\n}\n#page .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-on:not(:hover) .soc-font-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-on:not(:hover) .soc-font-icon,\n#page .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-on:not(:hover) .soc-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-on:not(:hover) .soc-icon,\n#page .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-off .soc-font-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-off .soc-font-icon,\n#page .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-off .soc-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .text-icon.dt-icon-hover-off .soc-icon {\n  color: #ffffff;\n  background: none;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750.layout-1 {\n  grid-template-columns: 128px minmax(0,1fr);\n  grid-column-gap: 60px;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750.layout-2 {\n  grid-template-columns: minmax(0,1fr) 128px;\n  grid-column-gap: 60px;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750.layout-2 .text-icon {\n  margin-left: 0;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750.layout-3 {\n  grid-template-columns: 128px minmax(0,1fr);\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750.layout-3 .dt-text-title {\n  margin-left: 0px;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .dt-text-title,\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .dt-text-title a {\n  color: #558398;\n  background: none;\n  font-weight: bold;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .dt-text-title {\n  margin-bottom: 10px;\n}\n.icon-with-text-shortcode.icon-text-id-bce2915af7efa2caf45c7f8bf0131750 .dt-text-desc {\n  margin-bottom: 30px;\n}<\/style><div class=\"icon-with-text-shortcode  icon-text-id-bce2915af7efa2caf45c7f8bf0131750 layout-2\" ><span   class=\"text-icon dt-icon-bg-on dt-icon-hover-off\" ><span class=\"icon-inner\"><i class=\"dt-regular-icon soc-icon Defaults-exclamation\"><\/i><i class=\"dt-hover-icon soc-icon Defaults-exclamation\"><\/i><\/span><\/span><h3 class=\"dt-text-title\"  >problem<\/h3><div class=\"dt-text-desc\">A comprehensive metrological infrastructure includes traceable calibrations, the treatment of measurement uncertainties as well as industry standards and guidelines. Digitalization is changing almost all aspects of this infrastructure: For example, sensors become intelligent and large sensor networks are used together with ML algorithms to make automated decisions and control production processes. Data quality is one of the most important industrial needs in the \u201cfactory of the future\u201d addressed by the Met4FoF project. Methods for measurement technology in sensor networks need to be extended and real-time ML methods developed to enable measurement uncertainty assessment in industrial sensor networks.<\/div><\/div><div class=\"hr-thin style-dotted\" style=\"width: 100%;border-top-width: 1px;\"><\/div><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-69e0b9d135242\" data-id=\"69e0b9d135242\" data-height=\"105\" data-height-mobile=\"105\" data-height-tab=\"105\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_row-fluid wpb_animate_when_almost_visible wpb_slideInUp slideInUp\"><div class=\"wpb_column vc_column_container vc_col-sm-4\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-69e0b9d13568c\" data-id=\"69e0b9d13568c\" data-height=\"95\" data-height-mobile=\"95\" data-height-tab=\"95\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-8\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-69e0b9d135832\" data-id=\"69e0b9d135832\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><style type=\"text\/css\" data-type=\"the7_shortcodes-inline-css\">.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon {\n  width: 128px;\n  height: 128px;\n  line-height: 128px;\n  font-size: 64px;\n  border-radius: 200px;\n  margin: 60px 60px 0px 0px;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon .icon-inner {\n  min-width: 128px;\n  min-height: 128px;\n  border-radius: 200px;\n}\n@media all and (-ms-high-contrast: none) {\n  .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon .icon-inner {\n    height: 128px;\n  }\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon .dt-hover-icon {\n  line-height: 128px;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon:before,\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon:after,\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon .icon-inner:before,\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon .icon-inner:after {\n  min-width: 100%;\n  min-height: 100%;\n  padding: inherit;\n  border-radius: inherit;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-border-on:before {\n  border-width: 2px;\n  border-style: solid;\n}\n.dt-icon-border-dashed.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-border-on:before {\n  border-style: dashed;\n}\n.dt-icon-border-dotted.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-border-on:before {\n  border-style: dotted;\n}\n.dt-icon-border-double.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-border-on:before {\n  border-style: double;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-border-dashed.dt-icon-border-on:before {\n  border-style: dashed;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-border-dotted.dt-icon-border-on:before {\n  border-style: dotted;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-border-double.dt-icon-border-on:before {\n  border-style: double;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-border-on:after {\n  border-width: 2px;\n  border-style: solid;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-border-dashed.dt-icon-hover-border-on:after {\n  border-style: dashed;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-border-dotted.dt-icon-hover-border-on:after {\n  border-style: dotted;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-border-double.dt-icon-hover-border-on:after {\n  border-style: double;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-on:hover {\n  font-size: 64px;\n}\n#page .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-on:hover .soc-font-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-on:hover .soc-font-icon,\n#page .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-on:hover .soc-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-on:hover .soc-icon {\n  color: #fff;\n  background: none;\n}\n#page .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-on:not(:hover) .soc-font-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-on:not(:hover) .soc-font-icon,\n#page .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-on:not(:hover) .soc-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-on:not(:hover) .soc-icon,\n#page .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-off .soc-font-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-off .soc-font-icon,\n#page .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-off .soc-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .text-icon.dt-icon-hover-off .soc-icon {\n  color: #ffffff;\n  background: none;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8.layout-1 {\n  grid-template-columns: 128px minmax(0,1fr);\n  grid-column-gap: 60px;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8.layout-2 {\n  grid-template-columns: minmax(0,1fr) 128px;\n  grid-column-gap: 0px;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8.layout-2 .text-icon {\n  margin-left: 0;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8.layout-3 {\n  grid-template-columns: 128px minmax(0,1fr);\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8.layout-3 .dt-text-title {\n  margin-left: 60px;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .dt-text-title,\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .dt-text-title a {\n  color: #558398;\n  background: none;\n  font-weight: bold;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .dt-text-title {\n  margin-bottom: 10px;\n}\n.icon-with-text-shortcode.icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 .dt-text-desc {\n  margin-bottom: 30px;\n}<\/style><div class=\"icon-with-text-shortcode  icon-text-id-f9386b8a087e6c79cbc77db77e9351b8 layout-1\" ><span   class=\"text-icon dt-icon-bg-on dt-icon-hover-off\" ><span class=\"icon-inner\"><i class=\"dt-regular-icon soc-icon icomoon-the7-font-the7-map-02\"><\/i><i class=\"dt-hover-icon soc-icon icomoon-the7-font-the7-map-02\"><\/i><\/span><\/span><h3 class=\"dt-text-title\"  >objective<\/h3><div class=\"dt-text-desc\">The Metrology for the Factory of the Future (Met4FoF) project creates a metrological framework for the entire life cycle of measurement data in industrial applications: from the calibration of individual digital sensors to the determination of measurement uncertainty related to machine learning (ML) in industrial sensor networks. The implementation in realistic test benches demonstrates the practical applicability of the procedures and provides templates for further application areas and future use by the industry.<\/div><\/div><div class=\"hr-thin style-dotted\" style=\"width: 100%;border-top-width: 1px;\"><\/div><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_row-fluid wpb_animate_when_almost_visible wpb_slideInUp slideInUp\"><div class=\"right wpb_column vc_column_container vc_col-sm-8\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-69e0b9d135e3d\" data-id=\"69e0b9d135e3d\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><style type=\"text\/css\" data-type=\"the7_shortcodes-inline-css\">.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon {\n  width: 128px;\n  height: 128px;\n  line-height: 128px;\n  font-size: 64px;\n  border-radius: 200px;\n  margin: 150px 0px 0px 60px;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon .icon-inner {\n  min-width: 128px;\n  min-height: 128px;\n  border-radius: 200px;\n}\n@media all and (-ms-high-contrast: none) {\n  .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon .icon-inner {\n    height: 128px;\n  }\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon .dt-hover-icon {\n  line-height: 128px;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon:before,\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon:after,\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon .icon-inner:before,\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon .icon-inner:after {\n  min-width: 100%;\n  min-height: 100%;\n  padding: inherit;\n  border-radius: inherit;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-border-on:before {\n  border-width: 2px;\n  border-style: solid;\n}\n.dt-icon-border-dashed.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-border-on:before {\n  border-style: dashed;\n}\n.dt-icon-border-dotted.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-border-on:before {\n  border-style: dotted;\n}\n.dt-icon-border-double.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-border-on:before {\n  border-style: double;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-border-dashed.dt-icon-border-on:before {\n  border-style: dashed;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-border-dotted.dt-icon-border-on:before {\n  border-style: dotted;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-border-double.dt-icon-border-on:before {\n  border-style: double;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-border-on:after {\n  border-width: 2px;\n  border-style: solid;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-border-dashed.dt-icon-hover-border-on:after {\n  border-style: dashed;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-border-dotted.dt-icon-hover-border-on:after {\n  border-style: dotted;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-border-double.dt-icon-hover-border-on:after {\n  border-style: double;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-on:hover {\n  font-size: 64px;\n}\n#page .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-on:hover .soc-font-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-on:hover .soc-font-icon,\n#page .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-on:hover .soc-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-on:hover .soc-icon {\n  color: #fff;\n  background: none;\n}\n#page .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-on:not(:hover) .soc-font-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-on:not(:hover) .soc-font-icon,\n#page .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-on:not(:hover) .soc-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-on:not(:hover) .soc-icon,\n#page .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-off .soc-font-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-off .soc-font-icon,\n#page .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-off .soc-icon,\n#phantom .icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .text-icon.dt-icon-hover-off .soc-icon {\n  color: #ffffff;\n  background: none;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653.layout-1 {\n  grid-template-columns: 128px minmax(0,1fr);\n  grid-column-gap: 60px;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653.layout-2 {\n  grid-template-columns: minmax(0,1fr) 128px;\n  grid-column-gap: 60px;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653.layout-2 .text-icon {\n  margin-left: 0;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653.layout-3 {\n  grid-template-columns: 128px minmax(0,1fr);\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653.layout-3 .dt-text-title {\n  margin-left: 0px;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .dt-text-title,\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .dt-text-title a {\n  color: #558398;\n  background: none;\n  font-weight: bold;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .dt-text-title {\n  margin-bottom: 10px;\n}\n.icon-with-text-shortcode.icon-text-id-0e98a40db6c73e29498ae89aebbab653 .dt-text-desc {\n  margin-bottom: 30px;\n}<\/style><div class=\"icon-with-text-shortcode  icon-text-id-0e98a40db6c73e29498ae89aebbab653 layout-2\" ><span   class=\"text-icon dt-icon-bg-on dt-icon-hover-off\" ><span class=\"icon-inner\"><i class=\"dt-regular-icon soc-icon fas fa-industry\"><\/i><i class=\"dt-hover-icon soc-icon fas fa-industry\"><\/i><\/span><\/span><h3 class=\"dt-text-title\"  >Recovery concept:<\/h3><div class=\"dt-text-desc\">The technical work focuses on two common manufacturing challenges, process optimization and predictive maintenance, represented by three specific test benches with different types of sensor networks.<br \/>\nThe ZeMA test bench uses a range of sensors that measure different sizes for end-of-line testing and condition monitoring of electromechanical cylinders. The measurement uncertainty is to be taken into account throughout the entire data flow, i.e. from the individual sensors to the output of data analysis using machine learning. The toolkit developed at ZeMA for feature extraction and selection as well as for the classification and validation of cyclic sensor data will be extended within the scope of the project in particular by the measurement uncertainty analysis for all methods used.<\/p>\n<p>Project management: Tanja Dorst<br \/>\nProject management: Prof. Dr. Andreas Sch\u00fctze<br \/>\nDuration: 01.05.2018 \u2013 31.05.2021<\/div><\/div><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-69e0b9d1360ee\" data-id=\"69e0b9d1360ee\" data-height=\"75\" data-height-mobile=\"75\" data-height-tab=\"75\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_row-fluid wpb_animate_when_almost_visible wpb_slideInUp slideInUp\"><div class=\"wpb_column vc_column_container vc_col-sm-6\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-6\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><style type=\"text\/css\" data-type=\"the7_shortcodes-inline-css\">.shortcode-single-image-wrap.shortcode-single-image-85699dc203f465b43e28749375f324d3.enable-bg-rollover .rollover i,\n.shortcode-single-image-wrap.shortcode-single-image-85699dc203f465b43e28749375f324d3.enable-bg-rollover .rollover-video i {\n  background: -webkit-linear-gradient();\n  background: linear-gradient();\n}\n.shortcode-single-image-wrap.shortcode-single-image-85699dc203f465b43e28749375f324d3 .rollover-icon {\n  font-size: 32px;\n  color: #ffffff;\n  min-width: 44px;\n  min-height: 44px;\n  line-height: 44px;\n  border-radius: 100px;\n  border-style: solid;\n  border-width: 0px;\n}\n.dt-icon-bg-on.shortcode-single-image-wrap.shortcode-single-image-85699dc203f465b43e28749375f324d3 .rollover-icon {\n  background: rgba(255,255,255,0.3);\n  box-shadow: none;\n}<\/style><div class=\"shortcode-single-image-wrap shortcode-single-image-85699dc203f465b43e28749375f324d3 alignnone  enable-bg-rollover dt-icon-bg-off\" style=\"margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; width:500px;\"><div class=\"shortcode-single-image\"><div class=\"fancy-media-wrap  layzr-bg\" style=\"\"><img decoding=\"async\" class=\"preload-me lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20300%2078&#39;%2F%3E\" data-src=\"https:\/\/zema.de\/wp-content\/uploads\/2020\/04\/EMPIR-300x78-1.jpg\" data-srcset=\"https:\/\/zema.de\/wp-content\/uploads\/2020\/04\/EMPIR-300x78-1.jpg 300w\" loading=\"eager\" sizes=\"(max-width: 300px) 100vw, 300px\" width=\"300\" height=\"78\"  data-dt-location=\"https:\/\/zema.de\/en\/empir-300x78\/\" style=\"--ratio: 300 \/ 78;\" alt=\"\" \/><\/div><\/div><\/div>\n\t<div class=\"wpb_text_column wpb_content_element  vc_custom_1614069323253\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p>This project 17IND12 Met4FoF has received funding from the EMPIR programme co-financed by the Participating States and from the European Union\u2019s Horizon 2020 research and innovation programme.<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Met4FoF \u2013 Metrology for the Factory of the Future The Factory of the Future (FoF) as a connected production environment with an autonomous flow of information and decision-making represents the digital transformation of manufacturing to increase efficiency and competitiveness. Transparency, comparability and sustainable quality assurance require reliable measurement data, processing methods and results. To a comprehensive metrological...<\/p>","protected":false},"author":14,"featured_media":16556,"comment_status":"closed","ping_status":"closed","template":"","dt_portfolio_category":[42],"dt_portfolio_tags":[],"class_list":["post-16553","dt_portfolio","type-dt_portfolio","status-publish","has-post-thumbnail","hentry","dt_portfolio_category-multimodal-smart-sensing","dt_portfolio_category-42","description-off"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Met4FoF am Forschungszentrum - ZeMA gGmbH Saarbr\u00fccken<\/title>\n<meta name=\"description\" content=\"Kalibrierung einzelner digitaler Sensoren bis Bestimmung von Messunsicherheit mit maschinellem Lernen (ML) mit dem Projekt Met4FoF \u25b6 Erfahren Sie mehr!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/zema.de\/en\/projekt\/met4fof\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Met4FoF am Forschungszentrum - ZeMA gGmbH Saarbr\u00fccken\" \/>\n<meta property=\"og:description\" content=\"Kalibrierung einzelner digitaler Sensoren bis Bestimmung von Messunsicherheit mit maschinellem Lernen (ML) mit dem Projekt Met4FoF \u25b6 Erfahren Sie mehr!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/zema.de\/en\/projekt\/met4fof\/\" \/>\n<meta property=\"og:site_name\" content=\"fl.zema.de\" \/>\n<meta property=\"article:modified_time\" content=\"2021-02-23T08:35:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/zema.de\/wp-content\/uploads\/2020\/07\/ZeMA-36-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1871\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/zema.de\\\/projekt\\\/met4fof\\\/\",\"url\":\"https:\\\/\\\/zema.de\\\/projekt\\\/met4fof\\\/\",\"name\":\"Met4FoF am Forschungszentrum - ZeMA gGmbH Saarbr\u00fccken\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/zema.de\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/zema.de\\\/projekt\\\/met4fof\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/zema.de\\\/projekt\\\/met4fof\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/zema.de\\\/wp-content\\\/uploads\\\/2020\\\/07\\\/ZeMA-36-scaled.jpg\",\"datePublished\":\"2020-07-22T06:27:00+00:00\",\"dateModified\":\"2021-02-23T08:35:24+00:00\",\"description\":\"Kalibrierung einzelner digitaler Sensoren bis Bestimmung von Messunsicherheit mit maschinellem Lernen (ML) mit dem Projekt Met4FoF \u25b6 Erfahren Sie mehr!\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/zema.de\\\/projekt\\\/met4fof\\\/#breadcrumb\"},\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/zema.de\\\/projekt\\\/met4fof\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\\\/\\\/zema.de\\\/projekt\\\/met4fof\\\/#primaryimage\",\"url\":\"https:\\\/\\\/zema.de\\\/wp-content\\\/uploads\\\/2020\\\/07\\\/ZeMA-36-scaled.jpg\",\"contentUrl\":\"https:\\\/\\\/zema.de\\\/wp-content\\\/uploads\\\/2020\\\/07\\\/ZeMA-36-scaled.jpg\",\"width\":2560,\"height\":1871},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/zema.de\\\/projekt\\\/met4fof\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Startseite\",\"item\":\"https:\\\/\\\/zema.de\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Portfolio\",\"item\":\"https:\\\/\\\/zema.de\\\/projekt\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Met4FoF\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/zema.de\\\/#website\",\"url\":\"https:\\\/\\\/zema.de\\\/\",\"name\":\"fl.zema.de\",\"description\":\"Zentrum f\u00fcr Mechatronik und Automatisierungstechnik\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/zema.de\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-GB\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Met4FoF am Forschungszentrum - ZeMA gGmbH Saarbr\u00fccken","description":"Kalibrierung einzelner digitaler Sensoren bis Bestimmung von Messunsicherheit mit maschinellem Lernen (ML) mit dem Projekt Met4FoF \u25b6 Erfahren Sie mehr!","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/zema.de\/en\/projekt\/met4fof\/","og_locale":"en_GB","og_type":"article","og_title":"Met4FoF am Forschungszentrum - ZeMA gGmbH Saarbr\u00fccken","og_description":"Kalibrierung einzelner digitaler Sensoren bis Bestimmung von Messunsicherheit mit maschinellem Lernen (ML) mit dem Projekt Met4FoF \u25b6 Erfahren Sie mehr!","og_url":"https:\/\/zema.de\/en\/projekt\/met4fof\/","og_site_name":"fl.zema.de","article_modified_time":"2021-02-23T08:35:24+00:00","og_image":[{"width":2560,"height":1871,"url":"https:\/\/zema.de\/wp-content\/uploads\/2020\/07\/ZeMA-36-scaled.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Estimated reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/zema.de\/projekt\/met4fof\/","url":"https:\/\/zema.de\/projekt\/met4fof\/","name":"Met4FoF am Forschungszentrum - ZeMA gGmbH Saarbr\u00fccken","isPartOf":{"@id":"https:\/\/zema.de\/#website"},"primaryImageOfPage":{"@id":"https:\/\/zema.de\/projekt\/met4fof\/#primaryimage"},"image":{"@id":"https:\/\/zema.de\/projekt\/met4fof\/#primaryimage"},"thumbnailUrl":"https:\/\/zema.de\/wp-content\/uploads\/2020\/07\/ZeMA-36-scaled.jpg","datePublished":"2020-07-22T06:27:00+00:00","dateModified":"2021-02-23T08:35:24+00:00","description":"Kalibrierung einzelner digitaler Sensoren bis Bestimmung von Messunsicherheit mit maschinellem Lernen (ML) mit dem Projekt Met4FoF \u25b6 Erfahren Sie mehr!","breadcrumb":{"@id":"https:\/\/zema.de\/projekt\/met4fof\/#breadcrumb"},"inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/zema.de\/projekt\/met4fof\/"]}]},{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/zema.de\/projekt\/met4fof\/#primaryimage","url":"https:\/\/zema.de\/wp-content\/uploads\/2020\/07\/ZeMA-36-scaled.jpg","contentUrl":"https:\/\/zema.de\/wp-content\/uploads\/2020\/07\/ZeMA-36-scaled.jpg","width":2560,"height":1871},{"@type":"BreadcrumbList","@id":"https:\/\/zema.de\/projekt\/met4fof\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Startseite","item":"https:\/\/zema.de\/"},{"@type":"ListItem","position":2,"name":"Portfolio","item":"https:\/\/zema.de\/projekt\/"},{"@type":"ListItem","position":3,"name":"Met4FoF"}]},{"@type":"WebSite","@id":"https:\/\/zema.de\/#website","url":"https:\/\/zema.de\/","name":"fl.zema.de","description":"Zentrum f\u00fcr Mechatronik und Automatisierungstechnik","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/zema.de\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-GB"}]}},"_links":{"self":[{"href":"https:\/\/zema.de\/en\/wp-json\/wp\/v2\/dt_portfolio\/16553","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/zema.de\/en\/wp-json\/wp\/v2\/dt_portfolio"}],"about":[{"href":"https:\/\/zema.de\/en\/wp-json\/wp\/v2\/types\/dt_portfolio"}],"author":[{"embeddable":true,"href":"https:\/\/zema.de\/en\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/zema.de\/en\/wp-json\/wp\/v2\/comments?post=16553"}],"version-history":[{"count":9,"href":"https:\/\/zema.de\/en\/wp-json\/wp\/v2\/dt_portfolio\/16553\/revisions"}],"predecessor-version":[{"id":16977,"href":"https:\/\/zema.de\/en\/wp-json\/wp\/v2\/dt_portfolio\/16553\/revisions\/16977"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/zema.de\/en\/wp-json\/wp\/v2\/media\/16556"}],"wp:attachment":[{"href":"https:\/\/zema.de\/en\/wp-json\/wp\/v2\/media?parent=16553"}],"wp:term":[{"taxonomy":"dt_portfolio_category","embeddable":true,"href":"https:\/\/zema.de\/en\/wp-json\/wp\/v2\/dt_portfolio_category?post=16553"},{"taxonomy":"dt_portfolio_tags","embeddable":true,"href":"https:\/\/zema.de\/en\/wp-json\/wp\/v2\/dt_portfolio_tags?post=16553"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}