{"id":71977,"date":"2026-01-30T13:15:00","date_gmt":"2026-01-30T18:15:00","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=71977"},"modified":"2026-03-26T06:53:03","modified_gmt":"2026-03-26T10:53:03","slug":"streamline-test-data-consolidation","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/streamline-test-data-consolidation\/","title":{"rendered":"Streamlining data: Efficient test data consolidation with Simcenter Testlab"},"content":{"rendered":"\n<p>As&nbsp;test engineers, whether working at the&nbsp;proving ground&nbsp;or on&nbsp;public roads, we gather a wealth of data. A complete measurement often includes various road conditions and numerous&nbsp;driving maneuvers. While acquiring this&nbsp;test data&nbsp;is a crucial first step, the real challenge often comes afterward:&nbsp;data consolidation. Traditionally, this means splitting long, continuous recordings into meaningful segments for analysis.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Input-1024x576.png\" alt=\"\" class=\"wp-image-71978\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Input-1024x576.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Input-600x338.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Input-768x432.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Input-1536x864.png 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Input-2048x1152.png 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Input-395x222.png 395w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Input-900x506.png 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>A long measurements taken from different road profiles<\/em><\/figcaption><\/figure><\/div>\n\n\n<h3 class=\"wp-block-heading\">The challenges of manual test data consolidation<\/h3>\n\n\n\n<p>The process of consolidating&nbsp;test data&nbsp;can be surprisingly complex when done manually. After a day of intensive&nbsp;data acquisition, engineers face several hurdles:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Manual data segmentation:<\/strong>\u00a0Sifting through hours of recorded data to identify the precise start and end points of specific road conditions or maneuvers is a tedious and time-consuming task. This manual effort is prone to inconsistencies and can introduce errors, impacting the reliability of subsequent\u00a0test data analysis.<\/li>\n\n\n\n<li><strong>Inconsistent run naming:<\/strong>\u00a0Once a segment is identified, giving it a clear, descriptive, and consistent name is another significant challenge. Without an automated system, engineers often resort to ad-hoc naming conventions, leading to confusion and making it difficult to locate and compare specific test runs later. This lack of structured naming can severely hinder efficient\u00a0test data processing.<\/li>\n\n\n\n<li><strong>Lack of automation:<\/strong>\u00a0The biggest bottleneck in this traditional workflow is the absence of automation. Manual\u00a0data consolidation\u00a0not only consumes valuable engineering time but also diverts focus from higher-value analytical tasks.<\/li>\n<\/ul>\n\n\n\n<p>These manual steps can delay your analysis, complicate collaboration, and ultimately slow down your development process. But what if there was a more efficient way to handle your&nbsp;test data consolidation?<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Simcenter Testlab: Your solution for automated test data consolidation<\/h3>\n\n\n\n<p>This is where&nbsp;<strong><a href=\"https:\/\/plm.sw.siemens.com\/en-US\/simcenter\/physical-testing\/testlab\/\" target=\"_blank\" rel=\"noopener\">Simcenter Testlab<\/a><\/strong>&nbsp;offers a powerful and automated solution to transform your&nbsp;test data processing&nbsp;workflow. It turns those manual, time-consuming tasks into streamlined, efficient operations.<\/p>\n\n\n\n<p><strong>1. Automated data segmentation with GPS precision and Google Earth integration:<\/strong><\/p>\n\n\n\n<p>One of the standout features of&nbsp;Simcenter Testlab&nbsp;is its ability to automatically segment long measurement runs into meaningful portions using&nbsp;GPS coordinates. Your measured analog and digital data often includes precise GPS information.&nbsp;Simcenter Testlab&nbsp;intelligently uses this data to identify and cut your recordings based on predefined track sections or geographical areas.<\/p>\n\n\n\n<p>The best part? Defining these precise geographical boundaries is incredibly straightforward. You can&nbsp;first identify the beginning and end of each track or specific road segment directly on Google Earth.&nbsp;Once you&#8217;ve marked these points, you simply&nbsp;save them as .kml and\/or .kmz files.&nbsp;Then, you can&nbsp;easily open these files within Simcenter Testlab.&nbsp;With this information,&nbsp;Simcenter Testlab automatically cuts your measurements into portions&nbsp;that correspond exactly to the geographical segments you defined.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/Google-earth-1024x576.png\" alt=\"\" class=\"wp-image-71982\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/Google-earth-1024x576.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/Google-earth-600x338.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/Google-earth-768x432.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/Google-earth-1536x864.png 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/Google-earth-2048x1152.png 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/Google-earth-395x222.png 395w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/Google-earth-900x506.png 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Google Earth including the &#8216;paths&#8217; identifying the beginning and end of each track with run naming identified for each section<\/em><\/figcaption><\/figure><\/div>\n\n\n<p>No more manual searching or guessing! This powerful integration ensures consistency and accuracy across all your data, especially valuable for both&nbsp;proving ground testing&nbsp;and&nbsp;public road testing. This capability truly streamlines&nbsp;automated data cutting&nbsp;and provides exact GPS coordinates for each separated run.<\/p>\n\n\n\n<p><strong>2. Intelligent naming for clear organization:<\/strong><\/p>\n\n\n\n<p>Beyond just cutting,&nbsp;Simcenter Testlab&nbsp;addresses the challenge of run naming head-on. It allows you to define&nbsp;intelligent naming conventions&nbsp;that are automatically applied to your segmented runs. Imagine your runs being automatically named like this:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>ProvingGround_HighSpeedLoop_Run01<\/code><\/li>\n\n\n\n<li><code>PublicRoad_CityDriving_BumpySection_Run02<\/code><\/li>\n\n\n\n<li><code>Highway_OvertakeManeuver_Run03<\/code><\/li>\n<\/ul>\n\n\n\n<p>This level of automatically generated detail makes finding and comparing specific test scenarios incredibly easy. You save significant time that would otherwise be spent on manual renaming and eliminate the ambiguity often found in manually organized files, greatly enhancing your overall&nbsp;test data consolidation.<\/p>\n\n\n\n<p><strong>3. Dynamic suffixes for driving maneuvers:<\/strong><\/p>\n\n\n\n<p>Simcenter Testlab&nbsp;further enhances&nbsp;data consolidation&nbsp;by allowing you to incorporate&nbsp;extra run suffixes based on driving maneuvers. This is incredibly useful for adding context to your data.<\/p>\n\n\n\n<p>For instance, during a single run on a specific road segment, you might perform several different maneuvers: a hard brake, an acceleration, or a lane change.&nbsp;Simcenter Testlab&nbsp;can be configured to detect these maneuvers (often based on specific sensor data or pre-defined triggers) and automatically add a descriptive suffix to the run name. This could result in names such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>ProvingGround_BrakingTest_EmergencyBrake<\/code><\/li>\n\n\n\n<li><code>PublicRoad_AccelerationTest_FullThrottle<\/code><\/li>\n\n\n\n<li><code>Highway_LaneChange_HighSpeed<\/code><\/li>\n<\/ul>\n\n\n\n<p>This automated detail provides immediate context to your data, making post-processing and&nbsp;<strong>test data analysis<\/strong>&nbsp;significantly more efficient and insightful for&nbsp;<strong>test engineers<\/strong>.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Process-1024x576.png\" alt=\"\" class=\"wp-image-71983\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Process-1024x576.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Process-600x338.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Process-768x432.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Process-1536x864.png 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Process-2048x1152.png 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Process-395x222.png 395w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Process-900x506.png 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>The processing flow on Simcenter Testlab for the defined data consolidation<\/em><\/figcaption><\/figure><\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">See it in action: Automated data consolidation with Simcenter Testlab<\/h3>\n\n\n\n<p>Reading about these features is one thing, but seeing them in action truly highlights their power! To give you a clear understanding of how seamless and efficient this process can be, I&#8217;ve prepared a short video demonstration.<\/p>\n\n\n\n<p>In this video, you&#8217;ll see:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How to easily define track segments using Google Earth and import&nbsp;.kml\/.kmz files&nbsp;into&nbsp;Simcenter Testlab.<\/li>\n\n\n\n<li>The automated process of splitting a long measurement into individual runs based on these precise GPS coordinates.<\/li>\n\n\n\n<li>How intelligent naming conventions are applied automatically.<\/li>\n\n\n\n<li>The magic of adding dynamic suffixes based on detected&nbsp;driving maneuvers.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/Automated-track-naming.mp4\"><\/video><figcaption class=\"wp-element-caption\"><em>Automated test data consolidation with Simcenter Testlab (GPS-based cutting, naming the cut portions according to track name, adding extra run suffixes including driving maneuvers)<\/em><\/figcaption><\/figure>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Results-1024x576.png\" alt=\"\" class=\"wp-image-71984\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Results-1024x576.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Results-600x338.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Results-768x432.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Results-1536x864.png 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Results-2048x1152.png 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Results-395x222.png 395w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Results-900x506.png 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>The results are shown in a nice display on Simcenter Testlab<\/em><\/figcaption><\/figure><\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">The future of test data consolidation is automated<\/h3>\n\n\n\n<p>As you&#8217;ve seen, by leveraging the automation capabilities of&nbsp;Simcenter Testlab,&nbsp;test engineers&nbsp;can:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Save Time:<\/strong>&nbsp;Drastically reduce the hours spent on manual&nbsp;data segmentation&nbsp;and naming.<\/li>\n\n\n\n<li><strong>Improve accuracy:<\/strong>\u00a0Minimize human error in data splitting and organization.<\/li>\n\n\n\n<li><strong>Enhance consistency:<\/strong>\u00a0Ensure uniform data structuring across all projects and teams.<\/li>\n\n\n\n<li><strong>Accelerate analysis:<\/strong>\u00a0Quickly locate and analyze specific test conditions and\u00a0driving maneuvers.<\/li>\n\n\n\n<li><strong>Boost productivity:<\/strong>\u00a0Free up valuable engineering time to focus on understanding the data and making informed decisions.<\/li>\n<\/ul>\n\n\n\n<p>If you&#8217;re looking to optimize your&nbsp;test data consolidation&nbsp;process, it&#8217;s time to explore how&nbsp;Simcenter Testlab&nbsp;can revolutionize your workflow. Say goodbye to manual struggles and hello to intelligent,&nbsp;automated test data processing!<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/road-roughness-guide-to-durability\/\">Road load data for road roughness: the perfect guide to vehicle durability performance<\/a><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/remote-data-acquisitionvalidation\/\">Improve your measurement quality with remote data acquisition and automated data validation<\/a><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/data-validation-on-measured-loads\/\">How can you ensure data validation on measured loads for your next electric car?<\/a><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/resources.sw.siemens.com\/en-US\/case-study-volvo-trucks-brazil\/\" target=\"_blank\" rel=\"noopener\">Volvo Trucks Brazil uses Simcenter durability testing solutions to realize significant time and cost savings<\/a><\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As test engineers, we gather immense amounts of information from proving grounds and public roads alike. While acquiring this data is crucial, the real challenge often emerges afterward: data consolidation. Traditionally, this means manually sifting through hours of recordings, segmenting them, and wrestling with inconsistent naming conventions. This isn&#8217;t just tedious; it&#8217;s a significant bottleneck, consuming valuable engineering time and introducing errors that hinder analysis.<br \/>\nWhat if you could automate this entire process? Imagine long recordings intelligently segmented with GPS precision, and runs automatically named with clear, descriptive conventions, even incorporating dynamic suffixes for specific driving maneuvers. Read how Simcenter Testlab allows you to do test data consolidation efficiently. <\/p>\n","protected":false},"author":16582,"featured_media":71984,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[1,182],"tags":[1892,658,1890],"industry":[89,132,133,157,155,135,134],"product":[518,588],"coauthors":[7342],"class_list":["post-71977","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-tips-tricks","tag-durability-testing","tag-physical-testing","tag-simcenter-testlab","industry-automotive-transportation","industry-automotive-oems","industry-automotive-suppliers","industry-heavy-equipment","industry-industrial-machinery-heavy-equipment","industry-motorcycles-bicycles-parts","industry-trucks-buses-specialty-vehicles","product-simcenter-testing-solutions","product-simcenter-testlab"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2026\/01\/TL-Results.png","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/71977","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/users\/16582"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=71977"}],"version-history":[{"count":4,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/71977\/revisions"}],"predecessor-version":[{"id":72513,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/71977\/revisions\/72513"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/71984"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=71977"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=71977"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=71977"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=71977"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=71977"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=71977"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}