





{"id":64467,"date":"2018-04-05T13:24:43","date_gmt":"2018-04-05T13:24:43","guid":{"rendered":"https:\/\/vims.pl\/?post_type=product&#038;p=64467"},"modified":"2018-04-05T13:44:30","modified_gmt":"2018-04-05T13:44:30","slug":"adaptive-algorithm-of-data-acquisition","status":"publish","type":"product","link":"https:\/\/vims.pl\/en\/product\/adaptive-algorithm-of-data-acquisition\/","title":{"rendered":"Adaptive Algorithm of Data Acquisition"},"content":{"rendered":"<h3 class=\"classic\">Adaptive Algorithm of Data Acquisition<\/h3>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div class=\"row row-version\">\n<div class=\"col-md-8 \">\n<h5 class=\"new-title\">Conventional Model of Data Acquisition (used by various brands):<\/h5>\n<ul class=\"key-features\">\n<li>Data was measured in defined time interval (e.g. every minute), so they were not measured continuously, so some important value changes in between those measurements have been lost<\/li>\n<li>Every measured data was saved, so the values with no information (same value as before) were saved and they took valuable space<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<h4><\/h4>\n<p>&nbsp;<\/p>\n<div class=\"row row-version\">\n<div class=\"col-md-8 \">\n<h5 class=\"new-title\">Adaptive Algorithm of Data Acquisition (new Adash system):<\/h5>\n<ul class=\"key-features marginbottom0\">\n<li>Data are measured continuously, so you cannot miss anything<\/li>\n<li>Only selected values are saved. If the measured value is not changing significantly, it is not saved. Adaptive Algorithm selects which data to save and which not.<\/li>\n<\/ul>\n<p class=\"greenFont lightfont ptsans fontsize18 marginleft40\">NOTE:<br \/>\nThe volume of possible data saved is highly reduced in this way, so it ensures that saved data cannot take too much space and the access to the database is not slowed down (otherwise it would be). There is no need to purchase expensive SQL servers. There is database solution provided in DDS software, which controls the A3716 units. You can run the database system on the standard laptop.<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<\/div>\n<div class=\"row row-version\">\n<div class=\"col-md-8 \">\n<h5 class=\"new-title\">How Adaptive Algorithm selects which data to save and which not?<\/h5>\n<ul class=\"key-features marginbottom0\">\n<li>Adaptive Algorithm measures data continuously and it does not save the values which do not change significantly. It saves only those values which changes from the previous one more than e.g. 5%, so if the measured value does not change significantly, the system does not save it.<\/li>\n<li>Only selected values are saved. If the measured value is not changing significantly, it is not saved. Adaptive Algorithm selects which data to save and which not.<\/li>\n<\/ul>\n<p class=\"greenFont lightfont ptsans fontsize18 marginbottom15 marginleft40\">NOTE:<br \/>\nNo diagnostician needs the values with change with less than 5% recorded, see the pictures below.<\/p>\n<ul class=\"key-features\">\n<li>There is time interval for data saving determined, so if this interval is set to 1 hour and a values do not change significantly for e.g. 1 hour, it is saved after 1 hour anyway).<\/li>\n<li>Adaptive Algorithm can change some of its parameters on its own, so the data saving is optimized, e.g. for the process with very variable values it can increase the percentage value of significant change (e.g. from 5% to 10%) determining which measured values are saved. See the picture below how it affects acquired results.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"row\">\n<div class=\"col-md-8 marginbottom60\">\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p class=\"new-title marginleft70\"><strong>All data saved:<\/strong><\/p>\n<p><img decoding=\"async\" class=\"img-responsive lazyload\" data-src=\"https:\/\/adash.com\/img\/products\/A3716\/adaptive-algorithm\/adaptive-algorithm-all-data-saved.jpg\" alt=\"A3716 adaptive algorithm of data acquisition\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" \/><\/p>\n<\/div>\n<div class=\"col-md-8 marginbottom60\">\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p class=\"new-title marginleft70\">Significant change = 5 %<\/p>\n<p><img decoding=\"async\" class=\"img-responsive lazyload\" data-src=\"https:\/\/adash.com\/img\/products\/A3716\/adaptive-algorithm\/adaptive-algorithm-significant-change-5percent.jpg\" alt=\"A3716 adaptive algorithm of data acquisition - significant change 5 %\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" \/><\/p>\n<\/div>\n<div class=\"col-md-8 marginbottom60\">\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p class=\"new-title marginleft70\">Significant change = 10 %<\/p>\n<p><img decoding=\"async\" class=\"img-responsive lazyload\" data-src=\"https:\/\/adash.com\/img\/products\/A3716\/adaptive-algorithm\/adaptive-algorithm-significant-change-10percent.jpg\" alt=\"A3716 adaptive algorithm of data acquisition - significant change 5 %\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" \/><\/p>\n<\/div>\n<div class=\"col-md-8 marginbottom60\">\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p class=\"new-title marginleft70\">Significant change = 20 %<\/p>\n<p><img decoding=\"async\" class=\"img-responsive lazyload\" data-src=\"https:\/\/adash.com\/img\/products\/A3716\/adaptive-algorithm\/adaptive-algorithm-significant-change-20percent.jpg\" alt=\"A3716 adaptive algorithm of data acquisition - significant change 5 %\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" \/><\/p>\n<\/div>\n<div class=\"col-md-8 marginbottom60\">\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p class=\"new-title marginleft70\">Significant change = 50 %<\/p>\n<p><img decoding=\"async\" class=\"img-responsive lazyload\" data-src=\"https:\/\/adash.com\/img\/products\/A3716\/adaptive-algorithm\/adaptive-algorithm-significant-change-50percent.jpg\" alt=\"A3716 adaptive algorithm of data acquisition - significant change 5 %\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" \/><\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Adaptive Algorithm of Data Acquisition &nbsp; &nbsp; Conventional Model of Data Acquisition (used by various brands): Data was measured in defined time interval (e.g. every minute), so they were not measured continuously, so some important value changes in between those measurements have been lost Every&#8230;<\/p>\n","protected":false},"featured_media":64469,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"product_brand":[],"product_cat":[267],"product_tag":[],"class_list":{"0":"post-64467","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-vibration","8":"first","9":"instock","10":"taxable","11":"shipping-taxable","12":"product-type-simple"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - 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