{"id":2855,"date":"2026-10-01T21:32:45","date_gmt":"2026-10-01T21:32:45","guid":{"rendered":"https:\/\/sensaratech.com\/?page_id=2855"},"modified":"2026-10-02T16:20:42","modified_gmt":"2026-10-02T16:20:42","slug":"ai-technology-sicair-and-sictox","status":"publish","type":"page","link":"https:\/\/sensaratech.com\/en\/ai-technology-sicair-and-sictox\/","title":{"rendered":"AI Technology \u2014 SICAIR and SICTOX"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"2855\" class=\"elementor elementor-2855 elementor-2806\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-68f461ac elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"68f461ac\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5413be5\" data-id=\"5413be5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7803069b elementor-widget elementor-widget-text-editor\" data-id=\"7803069b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div style=\"max-width: 960px; margin: 0 auto; font-family: -apple-system,Segoe UI,Arial,sans-serif; color: #222; line-height: 1.6;\"><section style=\"background-image: linear-gradient(155deg, rgba(16,44,73,.55) 55%, rgba(16,44,73,.92) 85%), url('https:\/\/img.youtube.com\/vi\/Tmh91KMvVDk\/maxresdefault.jpg'); background-size: cover; background-position: center; position: relative; left: 50%; right: 50%; margin-left: -50vw; margin-right: -50vw; width: 100vw; box-sizing: border-box;\"><div style=\"max-width: 1200px; margin: 0 auto; padding: 4.5rem 1.5rem 2.5rem 1.5rem; display: flex; align-items: center; justify-content: space-between; flex-wrap: wrap; gap: 2rem;\"><div style=\"flex: 1 1 420px; text-align: left;\"><p style=\"color: #9fb3c8; letter-spacing: 1px; font-size: .85rem; text-transform: uppercase; margin: 0 0 .5rem 0;\">HOME \u00bb AI TECHNOLOGY<\/p><h1 style=\"color: #fff; font-size: 2.1rem; margin: 0;\">AI Technology \u2014 SICAIR and SICTOX<\/h1><p style=\"color: #cfe0ee; font-size: 1.1rem; margin: .5rem 0 0 0;\">SENSARA&#8217;s own <strong style=\"color: #fff;\">machine learning<\/strong> algorithms for SN6 and SN8 respirometry<\/p><\/div><div style=\"flex: 0 0 280px; width: 280px; height: 320px; position: relative;\"><div style=\"position: absolute; inset: 0; background: #fff; -webkit-mask-image: url('https:\/\/sensaratech.com\/wp-content\/uploads\/2024\/10\/descarga.svg'); mask-image: url('https:\/\/sensaratech.com\/wp-content\/uploads\/2024\/10\/descarga.svg'); -webkit-mask-size: contain; mask-size: contain; -webkit-mask-repeat: no-repeat; mask-repeat: no-repeat; -webkit-mask-position: center; mask-position: center;\">\u00a0<\/div><div style=\"position: absolute; inset: 10px; background-image: url('https:\/\/sensaratech.com\/wp-content\/uploads\/2024\/10\/SN8-rombo-blanco-fino.png'); background-size: cover; background-position: center; -webkit-mask-image: url('https:\/\/sensaratech.com\/wp-content\/uploads\/2024\/10\/descarga.svg'); mask-image: url('https:\/\/sensaratech.com\/wp-content\/uploads\/2024\/10\/descarga.svg'); -webkit-mask-size: contain; mask-size: contain; -webkit-mask-repeat: no-repeat; mask-repeat: no-repeat; -webkit-mask-position: center; mask-position: center;\">\u00a0<\/div><\/div><\/div><\/section><section style=\"text-align: center; padding: 2rem 1rem;\"><h1 style=\"font-size: 2rem; margin-bottom: .5rem;\">Artificial intelligence applied to wastewater treatment<\/h1><p style=\"font-size: 1.1rem; color: #444;\">SENSARA integrates its own machine learning algorithms into its SN6 and SN8 respirometry equipment to optimize aeration and detect toxic episodes before they affect the biological process.<\/p><p><a style=\"display: inline-block; background: #4e8c28; color: #fff; padding: .8rem 1.6rem; border-radius: 6px; text-decoration: none; font-weight: bold;\" href=\"\/?page_id=63\">Request information<\/a><\/p><\/section><section style=\"padding: 2rem 0; border-top: 1px solid #eee;\"><h2 style=\"color: #4e8c28;\">SICAIR \u2014 Predictive Aeration Optimization<\/h2><p>SICAIR is SENSARA&#8217;s algorithm for intelligent aeration control in WWTPs. Based on respirometric measurements (OUR\/SOUR) from the SN8 unit, a proprietary machine learning model predicts the biological process&#8217;s oxygen demand across different time horizons (+1 cycle, +3 cycles, +6h) and generates optimized aeration setpoints.<\/p><p><strong>What it delivers:<\/strong><\/p><ul><li>Reduced blower energy consumption through aeration matched to actual demand, rather than fixed setpoints or timers<\/li><li>Automatic detection of over-aeration and cycles that fail to reach the endogenous phase, with quantification of avoidable cost<\/li><li>Anticipation of organic load variations before they occur, instead of reacting afterward<\/li><li>Integration with the plant&#8217;s existing control system (MODBUS \/ 4-20 mA for field instrumentation, standard API for SCADA) \u2014 it does not replace the WWTP&#8217;s instrumentation, it builds on it<\/li><li>The model is periodically updated with each plant&#8217;s data to maintain accuracy as input conditions change<\/li><\/ul><p style=\"text-align: center; margin-top: 1.5rem;\"><img decoding=\"async\" style=\"max-width: 100%; border-radius: 8px; box-shadow: 0 2px 12px rgba(0,0,0,.1);\" src=\"https:\/\/sensaratech.com\/wp-content\/uploads\/2024\/10\/SN8-rombo-blanco-fino.png\" alt=\"SICAIR panel \u2014 real-time prediction and validation\" \/><\/p><p><span style=\"font-size: .85rem; color: #777;\">SICAIR panel \u2014 real-time prediction and validation (summary view)<\/span><\/p><\/section><section style=\"padding: 2rem 0; border-top: 1px solid #eee;\"><h2 style=\"color: #c0392b;\">SICTOX \u2014 Early Toxicity Detection<\/h2><p>SICTOX continuously monitors the reactor&#8217;s biological activity to detect toxic or inhibitory inputs before they compromise treatment. Unlike SICAIR&#8217;s full respirometric cycle (90-120 min), SICTOX operates in short 15-30 minute cycles, enabling early warning of anomalous discharges.<\/p><p><strong>What it delivers:<\/strong><\/p><ul><li>Detection of toxic episodes in minutes, not hours<\/li><li>Distinction between a genuine toxic episode and an equipment or sensor fault, reducing false alarms<\/li><li>Severity classification of each episode and complete historical traceability, useful for regulatory reporting and identifying recurring discharges<\/li><li>Configurable alerts (email \/ Telegram) for immediate operator action<\/li><li>Operates independently: does not require SICAIR to be contracted for a plant<\/li><\/ul><p style=\"text-align: center; margin-top: 1.5rem;\"><img decoding=\"async\" style=\"max-width: 100%; border-radius: 8px; box-shadow: 0 2px 12px rgba(0,0,0,.1);\" src=\"https:\/\/sensaratech.com\/wp-content\/uploads\/2026\/10\/sictox_dashboard_1.jpg\" alt=\"SICTOX panel \u2014 toxicity control, episodes and discharge risk\" \/><\/p><p><span style=\"font-size: .85rem; color: #777;\">SICTOX panel \u2014 toxicity control, episodes and discharge risk (summary view)<\/span><\/p><p style=\"text-align: center; margin-top: 1.5rem;\"><img decoding=\"async\" style=\"max-width: 100%; border-radius: 8px; box-shadow: 0 2px 12px rgba(0,0,0,.1);\" src=\"https:\/\/sensaratech.com\/wp-content\/uploads\/2026\/10\/sictox_dashboard_2.jpg\" alt=\"SICTOX panel \u2014 second installation\" \/><\/p><p><span style=\"font-size: .85rem; color: #777;\">SICTOX panel \u2014 second installation<\/span><\/p><\/section><section style=\"padding: 2rem 0; border-top: 1px solid #eee;\"><h2>Use cases<\/h2><p>Three real situations where SICAIR and SICTOX are already operating (plant names withheld under contractual confidentiality):<\/p><p><strong>Waste management plant \u2014 SBR aeration<\/strong><br \/>Analysis of hundreds of aeration cycles revealed a recurring pattern of over-aeration and cycles that failed to reach the endogenous phase. SICAIR quantified the hours and avoidable energy cost involved, and now generates a monthly executive report tracking the trend. With this data, the plant has moved from running 1 aeration cycle to 2 cycles per day, improving process performance. The next step is to use SICAIR to automate each cycle&#8217;s duration in real time, instead of setting it manually.<\/p><p><strong>Municipal WWTP \u2014 continuous aeration control<\/strong><br \/>SN8 + SICAIR monitor the biological reactor around the clock, predicting short-term oxygen demand and adjusting the blower setpoint accordingly, instead of operating on fixed timers.<\/p><p><strong>Municipal WWTP \u2014 toxicity monitoring<\/strong><br \/>Two installations use SICTOX independently to monitor upstream industrial discharges. The system has identified biological inhibition episodes hours ahead of conventional control methods, allowing action before the effluent is affected.<\/p><p style=\"text-align: center; margin-top: 1.5rem;\"><img decoding=\"async\" style=\"max-width: 100%; border-radius: 8px; box-shadow: 0 2px 12px rgba(0,0,0,.1);\" src=\"https:\/\/sensaratech.com\/wp-content\/uploads\/2026\/10\/sicair_report.jpg\" alt=\"SICAIR SBR executive report \u2014 over-aeration detected and avoidable cost\" \/><\/p><p><span style=\"font-size: .85rem; color: #777;\">SICAIR SBR executive report \u2014 over-aeration detected and avoidable cost<\/span><\/p><\/section><section style=\"padding: 2rem 0; border-top: 1px solid #eee;\"><h2>Why a proprietary approach instead of a generic AI model<\/h2><p>&#8220;Off-the-shelf&#8221; machine learning models fail in WWTPs because each plant&#8217;s behavior depends on its specific load, biomass and configuration. SENSARA&#8217;s approach is based on real respirometric data from each installation \u2014 not simulations \u2014 and the models are reviewed and updated as plant conditions change, rather than being delivered as a closed black box.<\/p><\/section><section style=\"padding: 2rem 0; border-top: 1px solid #eee;\"><h2>How it works<\/h2><ol><li>The SN8 unit continuously measures respirometric parameters (O2, temperature, pH, Redox) in the biological reactor<\/li><li>Data is sent to the SENSARA platform (SN8 online 24\/7, multi-reactor)<\/li><li>The SICAIR and SICTOX models process the signal and generate predictions, setpoints and alerts<\/li><li>The plant operator receives the information on the dashboard and\/or integrates it directly into their SCADA<\/li><\/ol><\/section><section style=\"padding: 2rem 0; border-top: 1px solid #eee;\"><h2>Frequently asked questions<\/h2><p><strong>Do I need SICAIR to use SICTOX, or vice versa?<\/strong><br \/>No. They are independent services. A plant can subscribe to only toxicity monitoring (SICTOX) or only aeration optimization (SICAIR), depending on its needs.<\/p><p><strong>Does this replace my SCADA or my current instrumentation?<\/strong><br \/>No. SICAIR and SICTOX integrate with the instrumentation and control system the plant already has; they do not require replacing existing equipment.<\/p><p><strong>How long does it take to deliver reliable results?<\/strong><\/p><p>The system starts generating predictions from the very first cycle, but accuracy improves with the plant&#8217;s historical data; we recommend several weeks of operation for a consolidated assessment.<\/p><p><strong>What do I need to get started?<\/strong><br \/>An SN8 unit installed in the biological reactor. From there, SICAIR and SICTOX are activated as a service on top of that data.<\/p><\/section><section style=\"text-align: center; padding: 2.5rem 1rem; background: #f7f9f6; border-radius: 10px; margin-top: 1rem;\"><h2>Want to know if SICAIR and SICTOX fit your WWTP?<\/h2><p><a style=\"display: inline-block; background: #4e8c28; color: #fff; padding: .8rem 1.6rem; border-radius: 6px; text-decoration: none; font-weight: bold;\" href=\"\/?page_id=63\">Request information<\/a><\/p><\/section><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>HOME \u00bb AI TECHNOLOGY AI Technology \u2014 SICAIR and SICTOX SENSARA&#8217;s own machine learning algorithms for SN6 and SN8 respirometry \u00a0\u00a0 Artificial intelligence applied to wastewater treatment SENSARA integrates its own machine learning algorithms into its SN6 and SN8 respirometry equipment to optimize aeration and detect toxic episodes before they affect the biological process. Request [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-2855","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Technology \u2014 SICAIR and SICTOX | Sensara<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sensaratech.com\/en\/ai-technology-sicair-and-sictox\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Technology \u2014 SICAIR and SICTOX | Sensara\" \/>\n<meta property=\"og:description\" content=\"HOME \u00bb AI TECHNOLOGY AI Technology \u2014 SICAIR and SICTOX SENSARA&#8217;s own machine learning algorithms for SN6 and SN8 respirometry \u00a0\u00a0 Artificial intelligence applied to wastewater treatment SENSARA integrates its own machine learning algorithms into its SN6 and SN8 respirometry equipment to optimize aeration and detect toxic episodes before they affect the biological process. 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