{"id":30998,"date":"2022-05-10T13:42:36","date_gmt":"2022-05-10T12:42:36","guid":{"rendered":"https:\/\/lcm-content.web-email.at\/project\/intelligent-anomaly-detection-in-injection-molding-production\/"},"modified":"2023-11-21T10:19:07","modified_gmt":"2023-11-21T09:19:07","slug":"intelligent-anomaly-detection-in-injection-molding-production","status":"publish","type":"project","link":"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/","title":{"rendered":"Intelligent anomaly detection in injection molding production"},"content":{"rendered":"<div class=\"gdpr-ifbc-wrap\"><p>[et_pb_section fb_built=\u201d1\u2033 _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d custom_margin=\u201d||-40px||false|false\u201d custom_padding=\u201d||0px||false|false\u201d global_colors_info=\u201d{}\u201d][et_pb_row _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_column type=\u201d4_4\u2033 _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_text admin_label=\u201dTitel + Untertitel\u201d _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d]<\/p>\n<h2 style=\"text-align: left;\">Detecting machine downtimes and avoiding scrap<\/h2>\n<h3 style=\"text-align: justify;\">Intelligent anomaly detection in injection molding production<\/h3>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\u201d1\u2033 _builder_version=\u201d3.22\u2033 global_colors_info=\u201d{}\u201d][et_pb_row column_structure=\u201d3_5,2_5\u2033 _builder_version=\u201d4.10.4\u2033 background_size=\u201dinitial\u201d background_position=\u201dtop_left\u201d background_repeat=\u201drepeat\u201d global_colors_info=\u201d{}\u201d][et_pb_column type=\u201d3_5\u2033 _builder_version=\u201d3.25\u2033 custom_padding=\u201d|||\u201d global_colors_info=\u201d{}\u201d custom_padding__hover=\u201d|||\u201d][et_pb_text _builder_version=\u201d4.10.4\u2033 background_size=\u201dinitial\u201d background_position=\u201dtop_left\u201d background_repeat=\u201drepeat\u201d global_colors_info=\u201d{}\u201d]<\/p>\n<p>LCM and the start-up Aisemo have developed a condition monitoring system for injection molding production. This system is designed to detect unnoticed machine downtime and prevent scrap.<\/p>\n<p>The sensor system is heat-resistant and regularly checks the machine\u2019s current operating parameters. If a parameter, such as the temperature, fluctuates too much or even if the entire machine comes to a standstill, the monitoring system triggers an alarm.<\/p>\n<p>Continuous monitoring of the production machine enables constant production quality. In addition, it also reduces scrap and thus the CO2 footprint of the products. Green Tech for plastics technology.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=\u201d2_5\u2033 _builder_version=\u201d3.25\u2033 custom_padding=\u201d|||\u201d global_colors_info=\u201d{}\u201d custom_padding__hover=\u201d|||\u201d][et_pb_image src=\u201dhttps:\/\/lcm-content.web-email.at\/wp-content\/uploads\/2023\/11\/Bild_Aisemo_SensorTag-scaled.jpg\u201d title_text=\u201dJKU\u201d _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\u201d1\u2033 _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d background_color=\u201d#f4f4f4\u2033 global_colors_info=\u201d{}\u201d][et_pb_row column_structure=\u201d1_2,1_2\u2033 _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_column type=\u201d1_2\u2033 _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_text admin_label=\u201dAnforderungen\u201d _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d]<\/p>\n<h3>Requirements<\/h3>\n<p>\u00a0<\/p>\n<ul>\n<li>Anomaly detection in the operation of injection molding machines<\/li>\n<li>Production downtime reduction during injection molding<\/li>\n<li>Reduction of scrap during injection molding<\/li>\n<li>Easy to install, heat-resistant, low-maintenance, robust<\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=\u201d1_2\u2033 _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_text admin_label=\u201dL\u00f6sung\u201d _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d]<\/p>\n<h3>Solution<\/h3>\n<p>\u00a0<\/p>\n<ul>\n<li>Development of sensor module \u201cSensorTag\u201d for easy mounting on the injection molding machine<\/li>\n<li>Low-energy consumption design of the sensor electronics<\/li>\n<li>Energy-optimized radio transmission protocol<\/li>\n<li>Industrial-grade transmission of measurement data via radio to the cloud<\/li>\n<li>Measurement data evaluation with AI methods<\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=\u201d1\u2033 _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_row column_structure=\u201d1_5,3_5,1_5\u2033 _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_column type=\u201d1_5\u2033 _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][\/et_pb_column][et_pb_column type=\u201d3_5\u2033 _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_text admin_label=\u201dVideo \u2013 Aisemo \u2013 eingebettet\u201d _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d]<\/p>\n<p>\n<iframe loading=\"lazy\" width=\"1280\" height=\"720\" src=\"https:\/\/lcm-content.web-email.at\/wp-admin\/admin-ajax.php?action=gdpr_iframe_blocker&amp;src=https:\/\/www.youtube.com\/embed\/7TCsVhX8Ja0\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen data-gdpr-iframesrc=\"https:\/\/www.youtube.com\/embed\/7TCsVhX8Ja0\"><\/iframe>\n<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=\u201d1_5\u2033 _builder_version=\u201d4.10.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n<div class=\"shariff shariff-align-flex-start shariff-widget-align-flex-start\"><div class=\"ShariffHeadline\">Share this information<\/div><ul class=\"shariff-buttons theme-round orientation-horizontal buttonsize-medium\"><li class=\"shariff-button facebook shariff-nocustomcolor\" style=\"background-color:#4273c8\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Flcm-content.web-email.at%2Fen%2Fproject%2Fintelligent-anomaly-detection-in-injection-molding-production%2F\" title=\"Share on Facebook\" aria-label=\"Share on Facebook\" role=\"button\" rel=\"nofollow\" class=\"shariff-link\" style=\"; background-color:#3b5998; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 18 32\"><path fill=\"#3b5998\" d=\"M17.1 0.2v4.7h-2.8q-1.5 0-2.1 0.6t-0.5 1.9v3.4h5.2l-0.7 5.3h-4.5v13.6h-5.5v-13.6h-4.5v-5.3h4.5v-3.9q0-3.3 1.9-5.2t5-1.8q2.6 0 4.1 0.2z\"><\/path><\/svg><\/span><\/a><\/li><li class=\"shariff-button linkedin shariff-nocustomcolor\" style=\"background-color:#1488bf\"><a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https%3A%2F%2Flcm-content.web-email.at%2Fen%2Fproject%2Fintelligent-anomaly-detection-in-injection-molding-production%2F\" title=\"Share on LinkedIn\" aria-label=\"Share on LinkedIn\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#0077b5; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 27 32\"><path fill=\"#0077b5\" d=\"M6.2 11.2v17.7h-5.9v-17.7h5.9zM6.6 5.7q0 1.3-0.9 2.2t-2.4 0.9h0q-1.5 0-2.4-0.9t-0.9-2.2 0.9-2.2 2.4-0.9 2.4 0.9 0.9 2.2zM27.4 18.7v10.1h-5.9v-9.5q0-1.9-0.7-2.9t-2.3-1.1q-1.1 0-1.9 0.6t-1.2 1.5q-0.2 0.5-0.2 1.4v9.9h-5.9q0-7.1 0-11.6t0-5.3l0-0.9h5.9v2.6h0q0.4-0.6 0.7-1t1-0.9 1.6-0.8 2-0.3q3 0 4.9 2t1.9 6z\"><\/path><\/svg><\/span><\/a><\/li><li class=\"shariff-button xing shariff-nocustomcolor\" style=\"background-color:#29888a\"><a href=\"https:\/\/www.xing.com\/spi\/shares\/new?url=https%3A%2F%2Flcm-content.web-email.at%2Fen%2Fproject%2Fintelligent-anomaly-detection-in-injection-molding-production%2F\" title=\"Share on XING\" aria-label=\"Share on XING\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#126567; color:#fff\" target=\"_blank\"><span class=\"shariff-icon\" style><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 25 32\"><path fill=\"#126567\" d=\"M10.7 11.9q-0.2 0.3-4.6 8.2-0.5 0.8-1.2 0.8h-4.3q-0.4 0-0.5-0.3t0-0.6l4.5-8q0 0 0 0l-2.9-5q-0.2-0.4 0-0.7 0.2-0.3 0.5-0.3h4.3q0.7 0 1.2 0.8zM25.1 0.4q0.2 0.3 0 0.7l-9.4 16.7 6 11q0.2 0.4 0 0.6-0.2 0.3-0.6 0.3h-4.3q-0.7 0-1.2-0.8l-6-11.1q0.3-0.6 9.5-16.8 0.4-0.8 1.2-0.8h4.3q0.4 0 0.5 0.3z\"><\/path><\/svg><\/span><\/a><\/li><li class=\"shariff-button mailto shariff-nocustomcolor\" style=\"background-color:#a8a8a8\"><a href=\"mailto:?body=https%3A%2F%2Flcm-content.web-email.at%2Fen%2Fproject%2Fintelligent-anomaly-detection-in-injection-molding-production%2F&amp;subject=Intelligent%20anomaly%20detection%20in%20injection%20molding%20production\" title=\"Send by email\" aria-label=\"Send by email\" role=\"button\" rel=\"noopener nofollow\" class=\"shariff-link\" style=\"; background-color:#999; color:#fff\"><span class=\"shariff-icon\" style><svg width=\"32px\" height=\"20px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 32 32\"><path fill=\"#999\" d=\"M32 12.7v14.2q0 1.2-0.8 2t-2 0.9h-26.3q-1.2 0-2-0.9t-0.8-2v-14.2q0.8 0.9 1.8 1.6 6.5 4.4 8.9 6.1 1 0.8 1.6 1.2t1.7 0.9 2 0.4h0.1q0.9 0 2-0.4t1.7-0.9 1.6-1.2q3-2.2 8.9-6.1 1-0.7 1.8-1.6zM32 7.4q0 1.4-0.9 2.7t-2.2 2.2q-6.7 4.7-8.4 5.8-0.2 0.1-0.7 0.5t-1 0.7-0.9 0.6-1.1 0.5-0.9 0.2h-0.1q-0.4 0-0.9-0.2t-1.1-0.5-0.9-0.6-1-0.7-0.7-0.5q-1.6-1.1-4.7-3.2t-3.6-2.6q-1.1-0.7-2.1-2t-1-2.5q0-1.4 0.7-2.3t2.1-0.9h26.3q1.2 0 2 0.8t0.9 2z\"><\/path><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Detecting machine downtimes and avoiding scrap Intelligent anomaly detection in injection molding productionLCM and the start-up Aisemo have developed a condition monitoring system for injection molding production. This system is [&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":41973,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"<p>Unbemerkte Maschinenstillst\u00e4nde und Ausschuss oder Abfall durch fehlerhafte Produkte mindern die Effizienz in der Kunststoffherstellung . \r\nLCM hat das Start-Up-Unternehmen Aisemo bei der Entwicklung eines Condition Monitoring Systems begleitet, das in Echtzeit Anomalien in der Produktion erkennt. Das hitzebest\u00e4ndige Sensorsystem \u00fcberpr\u00fcft die aktuellen Betriebsparameter und schl\u00e4gt Alarm, falls ein Parameter, wie z.B. die Temperatur, zu stark variiert oder gar die gesamte Maschine still steht.\r\n\r\nDie kontinuierliche \u00dcberwachung der Produktionsmaschine erm\u00f6glicht nicht nur eine konstante Produktionsqualit\u00e4t, sondern reduziert auch den Ausschuss, was sich wiederum im CO2-Abdruck der Produkte widerspiegelt. Green Tech f\u00fcr die Kunststofftechnik.<\/p>\r\n\r\n<b>Anforderungen<\/b>\r\n<ul>\r\n<li>Hochrobustes Sensorsystem in Ringform<\/li>\r\n<li>Vorverarbeitung der Sensordaten auf der MoSS Elektronik<\/li>\r\n<li>\u00dcbertragung der Senordaten via Bluetooth<\/li>\r\n<li>Energy-Harvesting zur autonomen und wartungsfreien Energieversorgung<\/li>\r\n<li>Signalrelay zur \u00dcberbr\u00fcckung metallischer Kapselungen beim Einbau<\/li>\r\n<\/ul>\r\n\r\n<b>L\u00f6sung<\/b>\r\n<ul>\r\n<li>Entwicklung Sensormodul \u201eSensorTag\u201c f\u00fcr die einfache Montage an der Spritzgie\u00dfmaschine<\/li>\r\n<li>Low-Energy-Consumption-Design der Sensorelektronik<\/li>\r\n<li>Energieoptimiertes Funk\u00fcbertragungsprotokoll<\/li>\r\n<li>Industrietaugliche \u00dcbertragung der Messdaten via Funk in die \"Cloud\"<\/li>\r\n<li>Messdatenauswertung mir KI-Methoden<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<p>\r\n<iframe width=\"1280\" height=\"720\" src=\"https:\/\/www.youtube.com\/embed\/7TCsVhX8Ja0\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe>\r\n<\/p>","_et_gb_content_width":"","footnotes":""},"project_category":[404,232,222,382,236,244,245,224,312],"project_tag":[],"class_list":["post-30998","project","type-project","status-publish","has-post-thumbnail","hentry","project_category-condition-monitoring-en","project_category-digitization","project_category-electronics","project_category-green-technology","project_category-industry-4-0","project_category-predictive-analytics-en","project_category-sensing-systems-en","project_category-sensors-and-communications","project_category-smart-factory-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Intelligent anomaly detection in injection molding production - LCM<\/title>\n<meta name=\"description\" content=\"LCM and the start-up Aisemo have developed a condition monitoring system for injection molding production. This system is designed to detect unnoticed machine downtime and prevent scrap.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Intelligent anomaly detection in injection molding production - LCM\" \/>\n<meta property=\"og:description\" content=\"LCM and the start-up Aisemo have developed a condition monitoring system for injection molding production. This system is designed to detect unnoticed machine downtime and prevent scrap.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/\" \/>\n<meta property=\"og:site_name\" content=\"LCM\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-21T09:19:07+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lcm-content.web-email.at\/wp-content\/uploads\/2022\/04\/Bild_Aisemo_SensorTag-690x459.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"690\" \/>\n\t<meta property=\"og:image:height\" content=\"459\" \/>\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=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/\",\"url\":\"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/\",\"name\":\"Intelligent anomaly detection in injection molding production - LCM\",\"isPartOf\":{\"@id\":\"https:\/\/lcm-content.web-email.at\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lcm-content.web-email.at\/wp-content\/uploads\/2023\/11\/Bild_Aisemo_SensorTag-scaled.jpg\",\"datePublished\":\"2022-05-10T12:42:36+00:00\",\"dateModified\":\"2023-11-21T09:19:07+00:00\",\"description\":\"LCM and the start-up Aisemo have developed a condition monitoring system for injection molding production. This system is designed to detect unnoticed machine downtime and prevent scrap.\",\"breadcrumb\":{\"@id\":\"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/#primaryimage\",\"url\":\"https:\/\/lcm-content.web-email.at\/wp-content\/uploads\/2023\/11\/Bild_Aisemo_SensorTag-scaled.jpg\",\"contentUrl\":\"https:\/\/lcm-content.web-email.at\/wp-content\/uploads\/2023\/11\/Bild_Aisemo_SensorTag-scaled.jpg\",\"width\":2560,\"height\":1703,\"caption\":\"JKU\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Startseite\",\"item\":\"https:\/\/lcm-content.web-email.at\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Projekte\",\"item\":\"https:\/\/lcm-content.web-email.at\/project\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Intelligent anomaly detection in injection molding production\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/lcm-content.web-email.at\/#website\",\"url\":\"https:\/\/lcm-content.web-email.at\/\",\"name\":\"LCM\",\"description\":\"Technology in the 21st Century\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/lcm-content.web-email.at\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Intelligent anomaly detection in injection molding production - LCM","description":"LCM and the start-up Aisemo have developed a condition monitoring system for injection molding production. This system is designed to detect unnoticed machine downtime and prevent scrap.","robots":{"index":"noindex","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"og_locale":"en_US","og_type":"article","og_title":"Intelligent anomaly detection in injection molding production - LCM","og_description":"LCM and the start-up Aisemo have developed a condition monitoring system for injection molding production. This system is designed to detect unnoticed machine downtime and prevent scrap.","og_url":"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/","og_site_name":"LCM","article_modified_time":"2023-11-21T09:19:07+00:00","og_image":[{"width":690,"height":459,"url":"https:\/\/lcm-content.web-email.at\/wp-content\/uploads\/2022\/04\/Bild_Aisemo_SensorTag-690x459.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/","url":"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/","name":"Intelligent anomaly detection in injection molding production - LCM","isPartOf":{"@id":"https:\/\/lcm-content.web-email.at\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/#primaryimage"},"image":{"@id":"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/#primaryimage"},"thumbnailUrl":"https:\/\/lcm-content.web-email.at\/wp-content\/uploads\/2023\/11\/Bild_Aisemo_SensorTag-scaled.jpg","datePublished":"2022-05-10T12:42:36+00:00","dateModified":"2023-11-21T09:19:07+00:00","description":"LCM and the start-up Aisemo have developed a condition monitoring system for injection molding production. This system is designed to detect unnoticed machine downtime and prevent scrap.","breadcrumb":{"@id":"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/#primaryimage","url":"https:\/\/lcm-content.web-email.at\/wp-content\/uploads\/2023\/11\/Bild_Aisemo_SensorTag-scaled.jpg","contentUrl":"https:\/\/lcm-content.web-email.at\/wp-content\/uploads\/2023\/11\/Bild_Aisemo_SensorTag-scaled.jpg","width":2560,"height":1703,"caption":"JKU"},{"@type":"BreadcrumbList","@id":"https:\/\/lcm-content.web-email.at\/en\/project\/intelligent-anomaly-detection-in-injection-molding-production\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Startseite","item":"https:\/\/lcm-content.web-email.at\/en\/"},{"@type":"ListItem","position":2,"name":"Projekte","item":"https:\/\/lcm-content.web-email.at\/project\/"},{"@type":"ListItem","position":3,"name":"Intelligent anomaly detection in injection molding production"}]},{"@type":"WebSite","@id":"https:\/\/lcm-content.web-email.at\/#website","url":"https:\/\/lcm-content.web-email.at\/","name":"LCM","description":"Technology in the 21st Century","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/lcm-content.web-email.at\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"}]}},"_links":{"self":[{"href":"https:\/\/lcm-content.web-email.at\/en\/wp-json\/wp\/v2\/project\/30998","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lcm-content.web-email.at\/en\/wp-json\/wp\/v2\/project"}],"about":[{"href":"https:\/\/lcm-content.web-email.at\/en\/wp-json\/wp\/v2\/types\/project"}],"author":[{"embeddable":true,"href":"https:\/\/lcm-content.web-email.at\/en\/wp-json\/wp\/v2\/users\/23"}],"replies":[{"embeddable":true,"href":"https:\/\/lcm-content.web-email.at\/en\/wp-json\/wp\/v2\/comments?post=30998"}],"version-history":[{"count":8,"href":"https:\/\/lcm-content.web-email.at\/en\/wp-json\/wp\/v2\/project\/30998\/revisions"}],"predecessor-version":[{"id":41990,"href":"https:\/\/lcm-content.web-email.at\/en\/wp-json\/wp\/v2\/project\/30998\/revisions\/41990"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lcm-content.web-email.at\/en\/wp-json\/wp\/v2\/media\/41973"}],"wp:attachment":[{"href":"https:\/\/lcm-content.web-email.at\/en\/wp-json\/wp\/v2\/media?parent=30998"}],"wp:term":[{"taxonomy":"project_category","embeddable":true,"href":"https:\/\/lcm-content.web-email.at\/en\/wp-json\/wp\/v2\/project_category?post=30998"},{"taxonomy":"project_tag","embeddable":true,"href":"https:\/\/lcm-content.web-email.at\/en\/wp-json\/wp\/v2\/project_tag?post=30998"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}