{"id":31419,"date":"2026-09-04T22:17:10","date_gmt":"2026-09-04T14:17:10","guid":{"rendered":"https:\/\/www.chimaytech.net\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/"},"modified":"2026-09-04T22:17:10","modified_gmt":"2026-09-04T14:17:10","slug":"inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima","status":"publish","type":"post","link":"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/","title":{"rendered":"Inside a Smart Desalination Plant: The Sensor Network That Cuts Energy 15% by Shanghai ChiMay"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Inside_a_Smart_Desalination_Plant_The_Sensor_Network_That_Cuts_Energy_15_by_Shanghai_ChiMay\" >Inside a Smart Desalination Plant: The Sensor Network That Cuts Energy 15% by Shanghai ChiMay<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#The_Energy_Challenge_in_Seawater_Desalination\" >The Energy Challenge in Seawater Desalination<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#How_Sensor_Networks_Enable_Energy_Optimization\" >How Sensor Networks Enable Energy Optimization<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Real-Time_Feed_Characterization\" >Real-Time Feed Characterization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Dynamic_Recovery_Rate_Control\" >Dynamic Recovery Rate Control<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Fouling_Detection_and_Pressure_Optimization\" >Fouling Detection and Pressure Optimization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Energy_Recovery_Device_Monitoring\" >Energy Recovery Device Monitoring<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#The_Sensor_Network_Architecture\" >The Sensor Network Architecture<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Layer_1_Feed_Water_Characterization\" >Layer 1: Feed Water Characterization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Layer_2_Pretreatment_Optimization\" >Layer 2: Pretreatment Optimization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Layer_3_RO_Process_Control\" >Layer 3: RO Process Control<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Layer_4_Energy_Recovery_Monitoring\" >Layer 4: Energy Recovery Monitoring<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Layer_5_Product_and_Discharge\" >Layer 5: Product and Discharge<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Digital_Twin_The_Next_Frontier\" >Digital Twin: The Next Frontier<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#Case_Study_Energy_Savings_in_a_50000_m%C2%B3day_Plant\" >Case Study: Energy Savings in a 50,000 m\u00b3\/day Plant<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.chimaytech.net\/es\/inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chima\/#The_Bottom_Line\" >The Bottom Line<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1 id=\"inside-a-smart-desalination-plant-the-sensor-network-that-cuts-energy-15-by-shanghai-chimay\"><span class=\"ez-toc-section\" id=\"Inside_a_Smart_Desalination_Plant_The_Sensor_Network_That_Cuts_Energy_15_by_Shanghai_ChiMay\"><\/span>Inside a Smart Desalination Plant: The Sensor Network That Cuts Energy 15% by Shanghai ChiMay<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p><strong>The short version<\/strong><\/p>\n<ul>\n<li>Energy consumption accounts for <strong>30\u201350%<\/strong> of seawater desalination operating costs, making it the single largest controllable expense in plant operations.<\/li>\n<li>Smart desalination plants using real-time sensor networks for energy optimization achieve <strong>15\u201325% energy savings<\/strong> compared with conventionally operated facilities \u2014 <strong>USD 200,000\u2013500,000<\/strong> in annual cost reductions for a <strong>100,000 m\u00b3\/day<\/strong> plant.<\/li>\n<li>The key to energy optimization is <strong>closed-loop control<\/strong>: using continuous conductivity, temperature, turbidity, and flow data to adjust pump pressure, recovery rates, and chemical dosing in real time.<\/li>\n<li>Shanghai ChiMay&rsquo;s integrated sensor network provides the data foundation for smart desalination, supporting <strong>Modbus RTU\/TCP<\/strong> connectivity and integration with advanced process control and digital twin systems.<\/li>\n<\/ul>\n<hr \/>\n<h2 id=\"the-energy-challenge-in-seawater-desalination\"><span class=\"ez-toc-section\" id=\"The_Energy_Challenge_in_Seawater_Desalination\"><\/span>The Energy Challenge in Seawater Desalination<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Seawater reverse osmosis is, at its core, an energy conversion process: electrical energy becomes hydraulic pressure, which overcomes the osmotic pressure of seawater and pushes water molecules through a semi-permeable membrane. The theoretical minimum energy to desalinate seawater sits near <strong>1.06 kWh\/m\u00b3<\/strong> \u2014 but practical plants burn <strong>2.5\u20134.0 kWh\/m\u00b3<\/strong> once system inefficiencies, pretreatment demands, and safety margins are factored in.<\/p>\n<p>Run the arithmetic for a <strong>100,000 m\u00b3\/day<\/strong> plant at <strong>3.5 kWh\/m\u00b3<\/strong> and the annual electricity bill lands around <strong>USD 1.3\u20132.6 million<\/strong>, depending on local power prices. A <strong>15% reduction<\/strong> in energy consumption saves <strong>USD 200,000\u2013400,000<\/strong> per year \u2014 money that drops straight to the bottom line.<\/p>\n<h2 id=\"how-sensor-networks-enable-energy-optimization\"><span class=\"ez-toc-section\" id=\"How_Sensor_Networks_Enable_Energy_Optimization\"><\/span>How Sensor Networks Enable Energy Optimization<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"real-time-feed-characterization\"><span class=\"ez-toc-section\" id=\"Real-Time_Feed_Characterization\"><\/span>Real-Time Feed Characterization<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>The energy cost per cubic meter tracks the <strong>osmotic pressure<\/strong> of the feed water, which varies with salinity and temperature. Seawater salinity at coastal intakes typically runs <strong>33,000 to 37,000 mg\/L TDS<\/strong>, and it can swing <strong>\u00b110%<\/strong> within a single day from tidal mixing.<\/p>\n<p><strong>In-line conductivity meters<\/strong> at the intake deliver continuous salinity data, letting the plant controller calculate actual osmotic pressure and trim high-pressure pump output accordingly. Salinity drops below the design average and pump pressure comes down \u2014 energy saved, permeate quality untouched.<\/p>\n<p>Shanghai ChiMay conductivity sensors hold <strong>\u00b10.5% accuracy<\/strong> across the full seawater range, so the osmotic pressure calculation always runs on current, precise data.<\/p>\n<h3 id=\"dynamic-recovery-rate-control\"><span class=\"ez-toc-section\" id=\"Dynamic_Recovery_Rate_Control\"><\/span>Dynamic Recovery Rate Control<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>The <strong>recovery rate<\/strong> (ratio of permeate to feed) is among the most consequential operating parameters. Higher recovery means less feed water per unit of product \u2014 but it also raises concentrate salinity, lifts osmotic pressure in the later membrane stages, and increases fouling risk.<\/p>\n<p>Smart plants use real-time <strong>permeate conductivity<\/strong> and <strong>concentrate flow<\/strong> data to move the recovery rate dynamically. Feed conditions favorable (lower salinity, lower turbidity) and the system pushes recovery up to maximize production. Conditions deteriorate and recovery drops to protect the membranes.<\/p>\n<p>This optimization typically saves <strong>8\u201312%<\/strong> of total energy consumption while product water quality stays inside specification.<\/p>\n<h3 id=\"fouling-detection-and-pressure-optimization\"><span class=\"ez-toc-section\" id=\"Fouling_Detection_and_Pressure_Optimization\"><\/span>Fouling Detection and Pressure Optimization<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>As RO membranes accumulate fouling deposits, <strong>differential pressure<\/strong> across the array climbs, demanding higher feed pressure to hold the same permeate flow. In conventional operation that pressure creep runs unchecked until a scheduled cleaning event \u2014 energy wasted for the entire fouling cycle.<\/p>\n<p>Smart plants watch <strong>permeate flow, conductivity, and differential pressure<\/strong> together to detect fouling onset. When specific flux has declined by <strong>10\u201315%<\/strong>, the system triggers an early cleaning instead of waiting for the fixed schedule. Three things follow:<\/p>\n<ul>\n<li>The excessive pressure buildup that wastes energy never happens<\/li>\n<li>Fouling stays less severe, so cleaning works better<\/li>\n<li>Cleaning intervals extend, cutting chemical consumption and downtime<\/li>\n<\/ul>\n<p>The net energy saving from managed fouling runs <strong>5\u20138%<\/strong> of total plant energy consumption.<\/p>\n<h3 id=\"energy-recovery-device-monitoring\"><span class=\"ez-toc-section\" id=\"Energy_Recovery_Device_Monitoring\"><\/span>Energy Recovery Device Monitoring<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Modern SWRO plants fit <strong>pressure exchangers<\/strong> or <strong>hydraulic turbochargers<\/strong> to recover energy from the high-pressure brine stream. These devices can recover up to <strong>98%<\/strong> of the brine&rsquo;s hydraulic energy, cutting net energy consumption by <strong>40\u201360%<\/strong>.<\/p>\n<p>But energy recovery devices are sensitive to flow imbalance and pressure fluctuation. Real-time monitoring of <strong>brine flow rate, pressure, and conductivity<\/strong> on both sides of the device keeps it running at peak efficiency. Deviation from expected performance points to internal leakage or bearing wear \u2014 predictive maintenance before efficiency erodes.<\/p>\n<h2 id=\"the-sensor-network-architecture\"><span class=\"ez-toc-section\" id=\"The_Sensor_Network_Architecture\"><\/span>The Sensor Network Architecture<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A smart plant integrates measurement points across the process into one control system:<\/p>\n<h3 id=\"layer-1-feed-water-characterization\"><span class=\"ez-toc-section\" id=\"Layer_1_Feed_Water_Characterization\"><\/span>Layer 1: Feed Water Characterization<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>Conductivity\/salinity sensors<\/strong> (intake): Feed osmotic pressure calculation<\/li>\n<li><strong>Temperature sensors<\/strong>: Viscosity and flux correction<\/li>\n<li><strong>Turbidity sensors<\/strong>: Pretreatment demand assessment<\/li>\n<\/ul>\n<h3 id=\"layer-2-pretreatment-optimization\"><span class=\"ez-toc-section\" id=\"Layer_2_Pretreatment_Optimization\"><\/span>Layer 2: Pretreatment Optimization<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>Turbidity sensors<\/strong> (filter outlet): Automated coagulant dosing<\/li>\n<li><strong>pH sensors<\/strong>: Coagulation pH optimization<\/li>\n<li><strong>ORP sensors<\/strong>: Oxidation\/dechlorination control<\/li>\n<\/ul>\n<h3 id=\"layer-3-ro-process-control\"><span class=\"ez-toc-section\" id=\"Layer_3_RO_Process_Control\"><\/span>Layer 3: RO Process Control<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>Conductivity sensors<\/strong> (permeate per stage): Membrane health and recovery optimization<\/li>\n<li><strong>Flow meters<\/strong> (feed, permeate, brine): Real-time recovery rate calculation<\/li>\n<li><strong>Pressure transducers<\/strong>: Differential pressure trending for fouling detection<\/li>\n<\/ul>\n<h3 id=\"layer-4-energy-recovery-monitoring\"><span class=\"ez-toc-section\" id=\"Layer_4_Energy_Recovery_Monitoring\"><\/span>Layer 4: Energy Recovery Monitoring<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>Flow meters<\/strong>: ERD efficiency calculation<\/li>\n<li><strong>Pressure sensors<\/strong>: Pressure balance verification<\/li>\n<li><strong>Conductivity sensors<\/strong>: Brine characterization<\/li>\n<\/ul>\n<h3 id=\"layer-5-product-and-discharge\"><span class=\"ez-toc-section\" id=\"Layer_5_Product_and_Discharge\"><\/span>Layer 5: Product and Discharge<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><strong>pH, conductivity, chlorine sensors<\/strong>: Product water quality<\/li>\n<li><strong>Salinity, temperature sensors<\/strong>: Discharge compliance<\/li>\n<\/ul>\n<h2 id=\"digital-twin-the-next-frontier\"><span class=\"ez-toc-section\" id=\"Digital_Twin_The_Next_Frontier\"><\/span>Digital Twin: The Next Frontier<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Advanced plants are building <strong>digital twin<\/strong> models \u2014 virtual replicas of the physical plant that simulate process behavior in real time. Fed by the sensor network, the twin can:<\/p>\n<ul>\n<li><strong>Predict<\/strong> future membrane performance from current trends<\/li>\n<li><strong>Simulate<\/strong> operating scenarios to find the most energy-efficient configuration<\/li>\n<li><strong>Optimize<\/strong> chemical dosing, pump schedules, and cleaning cycles<\/li>\n<li><strong>Train<\/strong> new operators in a risk-free virtual environment<\/li>\n<\/ul>\n<p>Shanghai ChiMay&rsquo;s sensor network \u2014 <strong>1-second logging intervals<\/strong>, <strong>\u00b10.5% accuracy<\/strong>, <strong>Modbus RTU\/TCP<\/strong> connectivity \u2014 produces the data quality and density the leading digital twin platforms require.<\/p>\n<h2 id=\"case-study-energy-savings-in-a-50000-m3day-plant\"><span class=\"ez-toc-section\" id=\"Case_Study_Energy_Savings_in_a_50000_m%C2%B3day_Plant\"><\/span>Case Study: Energy Savings in a 50,000 m\u00b3\/day Plant<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A mid-size SWRO plant on China&rsquo;s coast implemented Shanghai ChiMay&rsquo;s full-chain monitoring solution in early 2026. Energy performance before and after:<\/p>\n<table>\n<thead>\n<tr>\n<th>Metric<\/th>\n<th>Before (Manual Monitoring)<\/th>\n<th>After (Smart Sensor Network)<\/th>\n<th>Improvement<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Specific energy consumption<\/td>\n<td>3.8 kWh\/m\u00b3<\/td>\n<td>3.2 kWh\/m\u00b3<\/td>\n<td><strong>-15.8%<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Membrane cleaning frequency<\/td>\n<td>Every 4 months<\/td>\n<td>Every 6 months<\/td>\n<td><strong>+50% interval<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Chemical consumption<\/td>\n<td>Baseline<\/td>\n<td>-22%<\/td>\n<td><strong>22% reduction<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Unplanned downtime<\/td>\n<td>3.2%<\/td>\n<td>0.8%<\/td>\n<td><strong>-75%<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Annual energy cost (USD)<\/td>\n<td>684,000<\/td>\n<td>576,000<\/td>\n<td><strong>USD 108,000 saved<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The sensor network paid for itself in <strong>8 months<\/strong>. After that, the savings run straight to the bottom line.<\/p>\n<h2 id=\"the-bottom-line\"><span class=\"ez-toc-section\" id=\"The_Bottom_Line\"><\/span>The Bottom Line<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Energy is the largest operating cost in seawater desalination, and real-time sensor networks are the most direct lever on it. Continuous, accurate data at every treatment stage enables closed-loop control of pump pressure, recovery rate, chemical dosing, and cleaning schedules \u2014 delivering <strong>15\u201325% energy savings<\/strong> that translate into hundreds of thousands of dollars annually.<\/p>\n<p>Shanghai ChiMay&rsquo;s integrated sensor portfolio \u2014 marine-grade construction, high accuracy, flexible communication \u2014 gives smart desalination plants the data foundation they need to compete in an increasingly cost-conscious market.<\/p>\n<hr \/>\n<p><em>All product references are to product categories only. Shanghai ChiMay does not publish specific model numbers in public-facing content.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Inside a Smart Desalination Plant: The Sensor Network That Cuts Energy 15% by Shanghai ChiMay The short version Energy consumption accounts for 30\u201350% of seawater desalination operating costs, making it the single largest controllable expense in plant operations. Smart desalination plants using real-time sensor networks for energy optimization achieve 15\u201325% energy savings compared with conventionally&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false},"categories":[1],"tags":[134429],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"es","enabled_languages":["en","es","fr","ru","ar"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"es":{"title":false,"content":false,"excerpt":false},"fr":{"title":false,"content":false,"excerpt":false},"ru":{"title":false,"content":false,"excerpt":false},"ar":{"title":false,"content":false,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/www.chimaytech.net\/es\/wp-json\/wp\/v2\/posts\/31419"}],"collection":[{"href":"https:\/\/www.chimaytech.net\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.chimaytech.net\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.chimaytech.net\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.chimaytech.net\/es\/wp-json\/wp\/v2\/comments?post=31419"}],"version-history":[{"count":0,"href":"https:\/\/www.chimaytech.net\/es\/wp-json\/wp\/v2\/posts\/31419\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.chimaytech.net\/es\/wp-json\/wp\/v2\/media?parent=31419"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.chimaytech.net\/es\/wp-json\/wp\/v2\/categories?post=31419"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.chimaytech.net\/es\/wp-json\/wp\/v2\/tags?post=31419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}