{"id":45811,"date":"2021-02-25T10:52:54","date_gmt":"2021-02-25T18:52:54","guid":{"rendered":"https:\/\/www.cohu.com\/?p=45811"},"modified":"2025-03-28T12:46:36","modified_gmt":"2025-03-28T19:46:36","slug":"tignis-engineers-love-our-applications","status":"publish","type":"post","link":"https:\/\/www.cohu.com\/tignis\/why-tignis-engineers-love-our-applications-and-why-you-should-try-them","title":{"rendered":"Why Tignis Engineers Love Our Applications"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m8g28v5p-746d8baae8d89148fb421ccddfa3a141\">\n.avia-section.av-m8g28v5p-746d8baae8d89148fb421ccddfa3a141 .av-parallax .av-parallax-inner{\nbackground-repeat:no-repeat;\nbackground-image:url(\/wp-content\/uploads\/2025\/03\/resources-banner-1500x333.jpg);\nbackground-position:50% 50%;\nbackground-attachment:scroll;\n}\n.avia-section.av-m8g28v5p-746d8baae8d89148fb421ccddfa3a141 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class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ig608p-4f8d1c0453663a84f522f5ebe321d648\">\n.flex_column.av-ig608p-4f8d1c0453663a84f522f5ebe321d648{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-ig608p-4f8d1c0453663a84f522f5ebe321d648 av_two_third  avia-builder-el-1  el_before_av_one_third  avia-builder-el-first  first flex_column_div av-zero-column-padding  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m8g29ww6-eae5135b0895c3f76a92dcd7e248c63a\">\n#top .av-special-heading.av-m8g29ww6-eae5135b0895c3f76a92dcd7e248c63a{\npadding-bottom:10px;\ncolor:#ffffff;\nfont-size:40px;\n}\nbody .av-special-heading.av-m8g29ww6-eae5135b0895c3f76a92dcd7e248c63a .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n#top #wrap_all .av-special-heading.av-m8g29ww6-eae5135b0895c3f76a92dcd7e248c63a 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.av-special-heading-tag{\nfont-size:33px;\n}\n.av-special-heading.av-m8g29ww6-eae5135b0895c3f76a92dcd7e248c63a .av-subheading{\nfont-size:15px;\n}\n}\n<\/style>\n<div  class='av-special-heading av-m8g29ww6-eae5135b0895c3f76a92dcd7e248c63a av-special-heading-h1 custom-color-heading blockquote modern-quote  avia-builder-el-2  avia-builder-el-no-sibling  av-inherit-size av-linked-heading'><h1 class='av-special-heading-tag '  itemprop=\"headline\"  >PHYSICS, MACHINES AND DATA<\/h1><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-2pyrzd-6af470dabd56f3b979785905ac98eceb\">\n.flex_column.av-2pyrzd-6af470dabd56f3b979785905ac98eceb{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-2pyrzd-6af470dabd56f3b979785905ac98eceb av_one_third  avia-builder-el-3  el_after_av_two_third  avia-builder-el-last  flex_column_div av-zero-column-padding  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m8sqnek7-5a54248de211167837b6e7f1c5ebaa5a\">\n.avia-image-container.av-m8sqnek7-5a54248de211167837b6e7f1c5ebaa5a img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-m8sqnek7-5a54248de211167837b6e7f1c5ebaa5a .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-m8sqnek7-5a54248de211167837b6e7f1c5ebaa5a av-styling- avia-align-center  avia-builder-el-4  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-45060 avia-img-lazy-loading-not-45060 avia_image ' src=\"\/wp-content\/uploads\/2025\/03\/Tignis-Logo-cohu-tagline-all-white-transparent-300x89.png\" alt='Tignis, A Cohu Analytics Solution logo in white' title='Tignis-Logo-cohu-tagline-all white-transparent'  height=\"89\" width=\"300\"  itemprop=\"thumbnailUrl\" srcset=\"\/wp-content\/uploads\/2025\/03\/Tignis-Logo-cohu-tagline-all-white-transparent-300x89.png 300w, \/wp-content\/uploads\/2025\/03\/Tignis-Logo-cohu-tagline-all-white-transparent-1030x305.png 1030w, \/wp-content\/uploads\/2025\/03\/Tignis-Logo-cohu-tagline-all-white-transparent-768x228.png 768w, \/wp-content\/uploads\/2025\/03\/Tignis-Logo-cohu-tagline-all-white-transparent-1536x455.png 1536w, \/wp-content\/uploads\/2025\/03\/Tignis-Logo-cohu-tagline-all-white-transparent-2048x607.png 2048w, \/wp-content\/uploads\/2025\/03\/Tignis-Logo-cohu-tagline-all-white-transparent-1500x444.png 1500w, \/wp-content\/uploads\/2025\/03\/Tignis-Logo-cohu-tagline-all-white-transparent-705x209.png 705w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/main><!-- close content main element --><\/div><\/div><\/div><div id='after_section_1'  class='main_color av_default_container_wrap container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-45811'><div class='entry-content-wrapper clearfix'>\n<div  class='flex_column av-2y29t5-8eac002ebd25dfff14a3d2eed1a49041 av_one_full  avia-builder-el-5  el_after_av_section  el_before_av_post_metadata  avia-builder-el-first  first flex_column_div  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m8gaohgy-e779b05cc50cec788c64ad3beca2e266\">\n#top .av_textblock_section.av-m8gaohgy-e779b05cc50cec788c64ad3beca2e266 .avia_textblock{\nfont-size:40px;\n}\n<\/style>\n<section  class='av_textblock_section av-m8gaohgy-e779b05cc50cec788c64ad3beca2e266 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p style=\"text-align: center;\"><strong>Why Tignis Engineers Love Our Applications and Why You Should Try Them<\/strong><\/p>\n<\/div><\/section><\/div><div  class='av-post-metadata-container av-av_post_metadata-f2d93833baf55c47e6bd6c86e40f308e av-metadata-container-align-center  avia-builder-el-7  el_after_av_one_full  el_before_av_hr  av-metadata-container-1'><div class='av-post-metadata-container-inner'><span class=\"av-post-metadata-content av-post-metadata-meta-content\"><span class=\"av-post-metadata-content av-post-metadata-published\"><span class=\"av-post-metadata-published-date\" >25. February 2021<\/span><\/span><span class=\"av-post-metadata-content av-post-metadata-separator\">|<\/span><span class=\"av-post-metadata-content av-post-metadata-category\"><span class=\"av-metadata-before av-metadata-before-categories\">in<\/span><span class=\"av-post-metadata-category-link\" ><a href=\"https:\/\/www.cohu.com\/category\/tignis-news\/\" >Tignis News<\/a><\/span><\/span><\/span><\/div><\/div><\/p>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m8t25391-39260fa6e7d6022a5f36742c2f35864e\">\n#top .hr.hr-invisible.av-m8t25391-39260fa6e7d6022a5f36742c2f35864e{\nheight:50px;\n}\n<\/style>\n<div  class='hr av-m8t25391-39260fa6e7d6022a5f36742c2f35864e hr-invisible  avia-builder-el-8  el_after_av_post_metadata  el_before_av_one_full '><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<div  class='flex_column av-1ltc3hq-d678e11ab7342dc0fff705952edff81f av_one_full  avia-builder-el-9  el_after_av_hr  el_before_av_hr  first flex_column_div  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-14x5t1q-99ab805fc8cefe0088621397c3a31777\">\n.avia-image-container.av-14x5t1q-99ab805fc8cefe0088621397c3a31777 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-14x5t1q-99ab805fc8cefe0088621397c3a31777 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-14x5t1q-99ab805fc8cefe0088621397c3a31777 av-styling- avia-align-center  avia-builder-el-10  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-45812 avia-img-lazy-loading-not-45812 avia_image ' src=\"\/wp-content\/uploads\/2025\/03\/DTQL_Blog_Banner-1030x361.png\" alt='' title='DTQL_Blog_Banner'  height=\"361\" width=\"1030\"  itemprop=\"thumbnailUrl\" srcset=\"\/wp-content\/uploads\/2025\/03\/DTQL_Blog_Banner-1030x361.png 1030w, \/wp-content\/uploads\/2025\/03\/DTQL_Blog_Banner-300x105.png 300w, \/wp-content\/uploads\/2025\/03\/DTQL_Blog_Banner-768x269.png 768w, \/wp-content\/uploads\/2025\/03\/DTQL_Blog_Banner-705x247.png 705w, \/wp-content\/uploads\/2025\/03\/DTQL_Blog_Banner.png 1200w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><\/div><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m8g8t5wg-76ecfb6e051b02404cc71f111581bb48\">\n#top .hr.hr-invisible.av-m8g8t5wg-76ecfb6e051b02404cc71f111581bb48{\nheight:50px;\n}\n<\/style>\n<div  class='hr av-m8g8t5wg-76ecfb6e051b02404cc71f111581bb48 hr-invisible  avia-builder-el-11  el_after_av_one_full  el_before_av_one_full '><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<div  class='flex_column av-tc5sy6-c610ce4ce37ddc8755f7c103673cd0c6 av_one_full  avia-builder-el-12  el_after_av_hr  avia-builder-el-last  first flex_column_div  '     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m8g8tpp9-ff1fa86bc0dd446fd91b41108625f035\">\n#top .av_textblock_section.av-m8g8tpp9-ff1fa86bc0dd446fd91b41108625f035 .avia_textblock{\nfont-size:18px;\n}\n<\/style>\n<section  class='av_textblock_section av-m8g8tpp9-ff1fa86bc0dd446fd91b41108625f035 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p>As a Tignis team member, I can say I am always excited and surprised with the tools put together by our team. Internally, these tools have helped us deliver incident reports to our customers to save them time by quickly guiding their attention to incidents of interest. One such tool, Tignis\u2019s interactive data analysis application powered by DTQL, has become so compelling that it now stands out in its own right. DTQL stands for\u00a0<i>Digital Twin Query Language<\/i>\u00a0because it leverages the interaction between physical components or assets in a system or process and then navigates relationships to strengthen analysis techniques.<\/p>\n<p>The exciting news for you is that we are releasing this previously internal-only functionality for use by any team looking to get advanced analytical value out the sensor data from their physical equipment. We are already seeing strong interest from automation teams and maintenance teams. Tignis\u2019s analysis application powered by DTQL is a line-by-line interpreter and graphing explorer that allows rules to be declared using logic, mathematical, statistical, or ML functions, the results of which can be plotted or used to create highlighted portions of interest. I have had a very pleasant and illuminating experience with this tool, including continuous surprises with its capabilities, and amazement at the anomalies it picks up that would have otherwise escaped me. I think this application would be of immediate help to many people. Allow me to tell you why I love it so much.<\/p>\n<\/div><\/section><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-tdvz03-5dec0727e2c0db016f616e25f3621a57\">\n.avia-image-container.av-tdvz03-5dec0727e2c0db016f616e25f3621a57 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-tdvz03-5dec0727e2c0db016f616e25f3621a57 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-tdvz03-5dec0727e2c0db016f616e25f3621a57 av-styling- avia-align-center  avia-builder-el-14  el_after_av_textblock  el_before_av_textblock '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-45813 avia-img-lazy-loading-not-45813 avia_image ' src=\"\/wp-content\/uploads\/2025\/03\/DTQL-1-768x512-1-300x200.png\" alt='' title='DTQL-1-768x512-1'  height=\"200\" width=\"300\"  itemprop=\"thumbnailUrl\" srcset=\"\/wp-content\/uploads\/2025\/03\/DTQL-1-768x512-1-300x200.png 300w, \/wp-content\/uploads\/2025\/03\/DTQL-1-768x512-1-705x470.png 705w, \/wp-content\/uploads\/2025\/03\/DTQL-1-768x512-1.png 768w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/div><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m8t316uj-b4764369954e85c80108081c1bb876c9\">\n#top .av_textblock_section.av-m8t316uj-b4764369954e85c80108081c1bb876c9 .avia_textblock{\nfont-size:18px;\n}\n<\/style>\n<section  class='av_textblock_section av-m8t316uj-b4764369954e85c80108081c1bb876c9 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p>Currently, many maintenance teams are using Excel as a tool for data analysis. Don\u2019t get me wrong, Excel has its place in the world and is an impressive tool in its own right. However, for data analysis it can be a bit cumbersome: wait for the program to load all your data, make sure you have selected appropriate rows or columns, deal with missing or incorrect data, find and navigate to the plotting feature, ensure correctness of the settings used to plot your data, select more rows and columns, and visualize with graphs that have pre-configured time ranges with little ability to navigate within them or zoom in\/out. Additionally, all of the preceding issues get repeated for every analysis you want to do, there are data limitations on top of this, and lastly data formatting issues can be experienced when you export to csv or during a data import.\u00a0 All of these issues go away with Tignis\u2019s analysis application.<\/p>\n<p>Tignis\u2019s analysis application powered by DTQL aims to connect to existing infrastructure. The application was initially developed to be used exclusively by Tignis team members on Tignis\u2019 platform, but we have also recently added an abstraction interface that allows us to create connectors to pull data in from other sources. Presently, the interpreter can pull data from CSV files and OSISoft Pi servers, but we plan to expand to more data sources in the future. Our aim here is to make it easy to work with your data. In the case of Pi, you can simply specify your server connection details and Tignis takes care of the rest.<\/p>\n<\/div><\/section><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m8t36fid-7220fab9f97771a308ce5face5c98c1b\">\n.avia-image-container.av-m8t36fid-7220fab9f97771a308ce5face5c98c1b img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-m8t36fid-7220fab9f97771a308ce5face5c98c1b .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-m8t36fid-7220fab9f97771a308ce5face5c98c1b av-styling- avia-align-center  avia-builder-el-16  el_after_av_textblock  el_before_av_textblock '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-45814 avia-img-lazy-loading-not-45814 avia_image ' src=\"\/wp-content\/uploads\/2025\/03\/Connection-Wizard-768x512-1-300x200.png\" alt='' title='Connection-Wizard-768x512-1'  height=\"200\" width=\"300\"  itemprop=\"thumbnailUrl\" srcset=\"\/wp-content\/uploads\/2025\/03\/Connection-Wizard-768x512-1-300x200.png 300w, \/wp-content\/uploads\/2025\/03\/Connection-Wizard-768x512-1-705x470.png 705w, \/wp-content\/uploads\/2025\/03\/Connection-Wizard-768x512-1.png 768w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/div><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m8t32rb1-831f0a372295ea1d6ec67cbc8a489044\">\n#top .av_textblock_section.av-m8t32rb1-831f0a372295ea1d6ec67cbc8a489044 .avia_textblock{\nfont-size:18px;\n}\n<\/style>\n<section  class='av_textblock_section av-m8t32rb1-831f0a372295ea1d6ec67cbc8a489044 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><section class=\"elementor-section elementor-top-section elementor-element elementor-element-866b93a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"866b93a\" data-element_type=\"section\" data-settings=\"{\">\n<div class=\"elementor-container elementor-column-gap-default\">\n<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8779f9c\" data-id=\"8779f9c\" data-element_type=\"column\">\n<div class=\"elementor-widget-wrap elementor-element-populated\">\n<div class=\"elementor-element elementor-element-ab678be elementor-widget elementor-widget-heading\" data-id=\"ab678be\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n<div class=\"elementor-widget-container\">\n<p>Setting up a connection with Tignis\u2019s application is extremely easy. Once the user provides their data historian credentials, it synchronizes data\u00a0according to timestamp. There are no restrictions on sampling rate. Missing data is handled with flexibility. For example, the application makes it easy for you to extrapolate prior values to fill in gaps which is useful in the case where your system only stores changes in values. If you have sparse data, where some points are just missing, and you don\u2019t know the correct value, a more sophisticated approach is to use ML to predict sensor values. This may sound complicated, but Tignis makes it so easy. I\u2019m confident anyone can do it.<\/p>\n<blockquote>\n<p>\u201cIf you have sparse data, where some points are just missing, and you don\u2019t know the correct value, a more sophisticated approach is to use ML to predict sensor values. This may sound complicated, but Tignis makes it so easy. I\u2019m confident anyone can do it.\u201d<\/p>\n<\/blockquote>\n<p>We have implemented the capability to work with templates. If you are familiar with OSI Pi\u2019s element templates you will understand what this means. If not I\u2019ll briefly explain: templates allow us to write rules on an asset class, which can then be applied to every individual entity (think asset) or element that fits within that template, saving a lot of time and effort. You can then select from a drop-down menu any individual entity that fits into that template to validate your rule against it. If you don\u2019t have templates and only have a single entity or element you would like to work with, DTQL will accommodate that as well.<\/p>\n<p>Tignis\u2019 analytics application powered by DTQL has context-based intelligence baked in. If you are writing a rule on a template or entity and click the search button, it will pull up all the entities or templates available in your system. Once you have a target entity or template, clicking the search button again pulls up a list of sensors or features available to that target entity or template. In addition to the context based search feature, the search button also includes a list of all of the logic, mathematical, statistical, or ML functions that are available for use.<\/p>\n<p>Now that I\u2019ve mentioned why I personally love the new analysis application powered by DTQL from Tignis, let me tell you some of the things that you can do. I\u2019ve had a lot of fun with it and I think you will too!<\/p>\n<ul>\n<li aria-level=\"1\">Create indicators and alerts for when scheduled maintenance should occur using equipment run times and meter readings (usage based maintenance)<\/li>\n<li aria-level=\"1\">Create alerts based on the number of occurrences of an event of interest using counting functionality.<\/li>\n<li aria-level=\"1\">Create alerts form SME knowledge using static thresholds for safety or reliability related events<\/li>\n<li aria-level=\"1\">Create multivariate physics based alerts from inputs such as equipment performance curves.<\/li>\n<li aria-level=\"1\">Create alerts using statistical analysis on signals where SME knowledge is not available<\/li>\n<li aria-level=\"1\">Create multivariate ML models for systems that are too complex or physics based equations are unknown.<\/li>\n<\/ul>\n<p>All this allows the possibility to notify yourself or your team that you have a problem, after, during, or even before it has occurred.<\/p>\n<p>I am excited to see our customers get as much out of this tool as we have internally.\u00a0 Tignis onboarded it\u2019s first external users to the interactive data analysis application powered by DTQL this quarter and plans to release it more broadly over the coming months.\u00a0 If you\u2019re interested in being an early adopter or trying the application, please visit\u00a0<a href=\"http:\/\/info.tignis.com\/dtql-app\">info.tignis.com\/dtql-app<\/a>. Also, keep any eye on our website and social media for product release information!<\/p>\n<p><i>Steven Herchak has worked at Tignis since January 2020.\u00a0 He is an Integration Engineer with a M.A.Sc. degree from the University of Victoria. Previously, Steven has worked with a building automation and controls company and Schneider Electric.\u00a0 At Tignis he is responsible for working directly with customers to interpret their needs and translate them into live analytics using DTQL.<\/i><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f6aaf8c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f6aaf8c\" data-element_type=\"section\" data-settings=\"{\">\n<div class=\"elementor-container elementor-column-gap-default\">\n<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-413bec8\" data-id=\"413bec8\" data-element_type=\"column\">\n<div class=\"elementor-widget-wrap elementor-element-populated\">\n<div class=\"elementor-element elementor-element-9e44ca5 elementor-widget elementor-widget-spacer\" data-id=\"9e44ca5\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n<div class=\"elementor-widget-container\">\n<div class=\"elementor-spacer\">\n<div class=\"elementor-spacer-inner\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div><\/section><\/p><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":35,"featured_media":45813,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[414],"tags":[],"class_list":["post-45811","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tignis-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - 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