{"id":1104,"date":"2025-04-07T10:25:54","date_gmt":"2025-04-07T10:25:54","guid":{"rendered":"http:\/\/3.68.93.236\/\/\/?p=1104"},"modified":"2025-11-07T10:20:17","modified_gmt":"2025-11-07T10:20:17","slug":"aves-analytics-en","status":"publish","type":"post","link":"https:\/\/protecbird.com\/?p=1104&lang=en","title":{"rendered":"AVES Analytics\u00ae"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":1322,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false},"categories":[10],"tags":[],"class_list":["post-1104","post","type-post","status-publish","has-post-thumbnail","hentry","category-uncategorized-en"],"acf":[],"grid":"{\r\n \"colCount\": 12,\r\n \"colGutter\": 1,\r\n \"rowGutters\": [\r\n 0,\r\n 0,\r\n 0,\r\n 5\r\n ],\r\n \"frameMargin\": 5,\r\n \"leftFrameMargin\": 10,\r\n \"rightFrameMargin\": 10,\r\n \"topFrameMargin\": 55,\r\n \"mus\": {\r\n \"colGutterMu\": \"%\",\r\n \"rowGutterMu\": \"%\",\r\n \"topFrameMu\": \"px\",\r\n \"bottomFrameMu\": \"%\",\r\n \"frameMu\": \"%\"\r\n },\r\n \"bottomFrameMargin\": 5,\r\n \"rowAttrs\": [\r\n {\r\n \"relid\": 4\r\n },\r\n {\r\n \"relid\": 6\r\n },\r\n {\r\n \"relid\": 8\r\n },\r\n {\r\n \"relid\": 16\r\n },\r\n {\r\n \"relid\": 2\r\n }\r\n ],\r\n \"bgColor\": null,\r\n \"bgImage\": null,\r\n \"cont\": [\r\n {\r\n \"type\": \"img\",\r\n \"cont\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb.jpg\",\r\n \"align\": \"top\",\r\n \"row\": 0,\r\n \"col\": 0,\r\n \"colspan\": 12,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 0,\r\n \"relid\": 5,\r\n \"attid\": 1322,\r\n \"sizes\": {\r\n \"full\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb.jpg\",\r\n \"_3200\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-3200x1799.jpg\",\r\n \"_2560\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-2560x1440.jpg\",\r\n \"_1920\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-1920x1080.jpg\",\r\n \"_1280\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-1280x720.jpg\",\r\n \"_1024\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-1024x576.jpg\",\r\n \"_768\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-768x432.jpg\",\r\n \"_512\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-512x288.jpg\",\r\n \"_265\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-265x149.jpg\"\r\n },\r\n \"w\": 3370,\r\n \"h\": 1895,\r\n \"ar\": 0.5623145400593472,\r\n \"alt\": \"\",\r\n \"absolute_position\": false,\r\n \"frameOverflow\": \"both\",\r\n \"classes\": \"header aveswind\",\r\n \"dosync\": false\r\n },\r\n {\r\n \"type\": \"text\",\r\n \"cont\": \"

AVES Analytics\u00ae<\/span><\/h1>

With AVES Analytics\u00ae You will receive in-depth data analyses to sustainably optimize bird protection and the performance of your wind farm.<\/span><\/span><\/p>\",\r\n \"align\": \"middle\",\r\n \"row\": 1,\r\n \"col\": 0,\r\n \"colspan\": 12,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 0,\r\n \"relid\": 7,\r\n \"absolute_position\": false,\r\n \"frameOverflow\": \"\"\r\n },\r\n {\r\n \"type\": \"text\",\r\n \"cont\": \"

Efficient Support for Operators and Managers<\/span><\/p>

AVES Analytics\u00ae provides a powerful platform<\/span> that<\/span> supports operators and managers of wind farms in the efficient analysis and visualization of large data sets. By using advanced tools, the data collected from the AVES product family - including the AVES Wind\u00ae Anti-Collision System, AVES Wind\u00ae Monitoring and AVES Wind\u00ae High Precision Counter - can be consolidated.<\/span><\/p><\/div>

\u00a0<\/p>

Report Generation<\/span><\/p>

AVES Analytics\u00ae simplifies the creation of detailed<\/span> reports that<\/span>\u00a0clearly\u00a0present all relevant data and analyses. Automated report functions<\/span> save time and ensure that up-to-date and<\/span> accurate information is always available to<\/span> meet regulatory requirements and<\/span> keep operators fully informed.<\/span><\/p><\/div>



<\/span><\/p>\",\r\n \"align\": \"middle\",\r\n \"row\": 2,\r\n \"col\": 1,\r\n \"colspan\": 5,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 1,\r\n \"relid\": 9,\r\n \"absolute_position\": false,\r\n \"frameOverflow\": \"\"\r\n },\r\n {\r\n \"type\": \"text\",\r\n \"cont\": \"

Analysis and Visualization of Large Data Sets<\/span><\/p>

The AI-driven platform of AVES Analytics\u00ae allows for the\u00a0<\/span>processing and analysis of large data sets in real-time.\u00a0<\/span>User-friendly visualization tools make it easier to recognize\u00a0<\/span>and clearly present complex data patterns, contributing to <\/span>the optimization of operational processes and the maximization\u00a0<\/span>of wind farm performance.<\/span><\/p><\/div><\/div>

\u00a0<\/p>\",\r\n \"align\": \"top\",\r\n \"row\": 2,\r\n \"col\": 6,\r\n \"colspan\": 5,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 0,\r\n \"relid\": 10,\r\n \"absolute_position\": false,\r\n \"frameOverflow\": \"\"\r\n },\r\n {\r\n \"type\": \"text\",\r\n \"cont\": \"

AVES Analytics\u00ae revolutionizes data analysis and visualization. By optimizing operations and reliably meeting regulatory requirements, efficiency is increased.<\/h4>\",\r\n \"align\": \"top\",\r\n \"row\": 3,\r\n \"col\": 0,\r\n \"colspan\": 12,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 0,\r\n \"relid\": 11,\r\n \"absolute_position\": false,\r\n \"dosync\": false,\r\n \"frameOverflow\": \"\"\r\n },\r\n {\r\n \"type\": \"text\",\r\n \"cont\": \"

Back to overview<\/a><\/span><\/p>\",\r\n \"align\": \"middle\",\r\n \"row\": 4,\r\n \"col\": 2,\r\n \"colspan\": 8,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 2,\r\n \"relid\": 3,\r\n \"absolute_position\": false,\r\n \"frameOverflow\": \"\"\r\n }\r\n ]\r\n}","phonegrid":"{\r\n \"colCount\": 12,\r\n \"colGutter\": 1,\r\n \"rowGutters\": [\r\n 5,\r\n \"15\",\r\n 5,\r\n \"10\",\r\n \"15\"\r\n ],\r\n \"frameMargin\": 5,\r\n \"topFrameMargin\": 0,\r\n \"rightFrameMargin\": 5,\r\n \"bottomFrameMargin\": 15,\r\n \"leftFrameMargin\": 5,\r\n \"mus\": {\r\n \"colGutterMu\": \"%\",\r\n \"rowGutterMu\": \"%\",\r\n \"topFrameMu\": \"%\",\r\n \"bottomFrameMu\": \"%\",\r\n \"frameMu\": \"%\"\r\n },\r\n \"rowAttrs\": [\r\n {\r\n \"relid\": 1\r\n },\r\n {\r\n \"relid\": 13\r\n },\r\n {\r\n \"relid\": 14\r\n },\r\n {\r\n \"relid\": 15\r\n },\r\n {\r\n \"relid\": 18\r\n },\r\n {\r\n \"relid\": 17\r\n }\r\n ],\r\n \"bgColor\": null,\r\n \"bgImage\": null,\r\n \"cont\": [\r\n {\r\n \"type\": \"img\",\r\n \"cont\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb.jpg\",\r\n \"align\": \"middle\",\r\n \"row\": 0,\r\n \"col\": 0,\r\n \"colspan\": 12,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 0,\r\n \"relid\": 12,\r\n \"attid\": 1322,\r\n \"sizes\": {\r\n \"full\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb.jpg\",\r\n \"_3200\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-3200x1799.jpg\",\r\n \"_2560\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-2560x1440.jpg\",\r\n \"_1920\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-1920x1080.jpg\",\r\n \"_1280\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-1280x720.jpg\",\r\n \"_1024\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-1024x576.jpg\",\r\n \"_768\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-768x432.jpg\",\r\n \"_512\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-512x288.jpg\",\r\n \"_265\": \"\/wp-content\/uploads\/2025\/04\/AvesAnalyticsWeb-265x149.jpg\"\r\n },\r\n \"w\": 3370,\r\n \"h\": 1895,\r\n \"ar\": 0.5623145400593472,\r\n \"alt\": \"Nahaufnahme eines MacBook Pro, auf dessen Bildschirm ein Balkendiagramm mit dem Titel \u201eCurtailment time per day in minutes\u201c zu sehen ist. Die grauen Balken stellen die durchschnittliche t\u00e4gliche Abregelungszeit der letzten 12 Monate dar, die blauen Balken die Abregelungszeit des aktuellen Tages f\u00fcr f\u00fcnf Windturbinen (WTG1\u2013WTG5): WTG1: 4,8 Min. (grau) vs. 0,0 Min. (blau) WTG2: 6,2 Min. vs. 9,0 Min. WTG3: 4,2 Min. vs. 5,2 Min. WTG4: 10,0 Min. vs. 19,6 Min. WTG5: 5,5 Min. vs. 0,0 Min. Am unteren Bildschirmrand ist die Mac-Men\u00fcleiste mit App-Icons und der Schriftzug \u201eMacBook Pro\u201c auf der Geh\u00e4usekante zu erkennen.\",\r\n \"absolute_position\": false,\r\n \"frameOverflow\": \"both\",\r\n \"classes\": \"header-mobil\"\r\n },\r\n {\r\n \"type\": \"text\",\r\n \"cont\": \"

AVES Analytics\u00ae<\/span><\/h1>

With AVES Analytics\u00ae You will receive in-depth data analyses to sustainably optimize bird protection and the performance of your wind farm.<\/span><\/span><\/p>\",\r\n \"align\": \"bottom\",\r\n \"row\": 1,\r\n \"col\": 0,\r\n \"colspan\": 12,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 0,\r\n \"relid\": 7,\r\n \"absolute_position\": false\r\n },\r\n {\r\n \"type\": \"text\",\r\n \"cont\": \"

Efficient Support for Operators and Managers<\/span><\/p>

AVES Analytics\u00ae provides a powerful platform<\/span> that<\/span> supports operators and managers of wind farms in the efficient analysis and visualization of large data sets. By using advanced tools, the data collected from the AVES product family - including the AVES Wind\u00ae Anti-Collision System, AVES Wind\u00ae Monitoring and AVES Wind\u00ae High Precision Counter - can be consolidated.<\/span><\/p><\/div>

\u00a0<\/p>

Report Generation<\/span><\/p>

AVES Analytics\u00ae simplifies the creation of detailed<\/span> reports that<\/span>\u00a0clearly\u00a0present all relevant data and analyses. Automated report functions<\/span> save time and ensure that up-to-date and<\/span> accurate information is always available to<\/span> meet regulatory requirements and<\/span> keep operators fully informed.<\/span><\/p><\/div>



<\/span><\/p>\",\r\n \"align\": \"bottom\",\r\n \"row\": 2,\r\n \"col\": 0,\r\n \"colspan\": 12,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 0,\r\n \"relid\": 9,\r\n \"absolute_position\": false\r\n },\r\n {\r\n \"type\": \"text\",\r\n \"cont\": \"

Analysis and Visualization of Large Data Sets<\/span><\/p>

The AI-driven platform of AVES Analytics\u00ae allows for the\u00a0<\/span>processing and analysis of large data sets in real-time.\u00a0<\/span>User-friendly visualization tools make it easier to recognize\u00a0<\/span>and clearly present complex data patterns, contributing to <\/span>the optimization of operational processes and the maximization\u00a0<\/span>of wind farm performance.<\/span><\/p><\/div><\/div>

\u00a0<\/p>\",\r\n \"align\": \"bottom\",\r\n \"row\": 3,\r\n \"col\": 0,\r\n \"colspan\": 12,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 0,\r\n \"relid\": 10,\r\n \"absolute_position\": false\r\n },\r\n {\r\n \"type\": \"text\",\r\n \"cont\": \"

AVES Analytics\u00ae revolutionizes data analysis and visualization. By optimizing operations and reliably meeting regulatory requirements, efficiency is increased.<\/h4>\",\r\n \"align\": \"top\",\r\n \"row\": 4,\r\n \"col\": 0,\r\n \"colspan\": 12,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 0,\r\n \"relid\": 11,\r\n \"absolute_position\": false,\r\n \"dosync\": false\r\n },\r\n {\r\n \"type\": \"text\",\r\n \"cont\": \"

Back to overview<\/a><\/span><\/p>\",\r\n \"align\": \"bottom\",\r\n \"row\": 5,\r\n \"col\": 0,\r\n \"colspan\": 12,\r\n \"offsetx\": 0,\r\n \"offsety\": 0,\r\n \"spaceabove\": 0,\r\n \"spacebelow\": 0,\r\n \"yvel\": 1,\r\n \"push\": 0,\r\n \"relid\": 3,\r\n \"absolute_position\": false\r\n }\r\n ]\r\n}","_links":{"self":[{"href":"https:\/\/protecbird.com\/index.php?rest_route=\/wp\/v2\/posts\/1104","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/protecbird.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/protecbird.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/protecbird.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/protecbird.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1104"}],"version-history":[{"count":0,"href":"https:\/\/protecbird.com\/index.php?rest_route=\/wp\/v2\/posts\/1104\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/protecbird.com\/index.php?rest_route=\/wp\/v2\/media\/1322"}],"wp:attachment":[{"href":"https:\/\/protecbird.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1104"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/protecbird.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1104"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/protecbird.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1104"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}