{"id":25826,"date":"2026-08-20T17:39:11","date_gmt":"2026-08-20T15:39:11","guid":{"rendered":"https:\/\/aiotrust.io\/?p=25826"},"modified":"2026-08-24T11:16:30","modified_gmt":"2026-08-24T09:16:30","slug":"industrial-data-collection-obtaining-reliable-data","status":"publish","type":"post","link":"https:\/\/aiotrust.io\/en\/industrial-data-collection-obtaining-reliable-data\/","title":{"rendered":"Industrial Data Collection: How Can You Obtain Reliable and Actionable Data?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"25826\" class=\"elementor elementor-25826 elementor-25825\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6e355ca e-flex e-con-boxed e-con e-parent\" data-id=\"6e355ca\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4a2e2de elementor-widget elementor-widget-text-editor\" data-id=\"4a2e2de\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h3><span style=\"font-weight: 400;\">Key Takeaways<\/span><\/h3><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Industrial data collection involves gathering signals generated by equipment at a site (measurements, status, commands) for analysis.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Useful data is judged based on <\/span><b>three criteria<\/b><span style=\"font-weight: 400;\"> : its nature, the level at which it is collected, and its integrity.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cross-reference <\/span><b>measurement data<\/b><span style=\"font-weight: 400;\"> and <\/span><b>control data<\/b><span style=\"font-weight: 400;\"> allows you to verify that a command sent has indeed produced the expected result in the field.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The data transmitted by the PLC is filtered according to its programming. Capturing data directly from the inputs\/outputs provides access to the raw signal, independent of the control system. <\/span><\/li><\/ul><div> <\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7569ac9 elementor-widget elementor-widget-text-editor\" data-id=\"7569ac9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In industry, equipment constantly generates data: <\/span><b>temperature, pressure, flow rate, speed, equipment status, power consumption, commands sent to a machine<\/b><span style=\"font-weight: 400;\">\u2026 All of this information can help manufacturers better understand how their facilities operate.<\/span><\/p><p><span style=\"font-weight: 400;\">The <\/span><b>collection of this data<\/b><span style=\"font-weight: 400;\"> has thus become a key element in the digital transformation of industrial sites. But simply collecting data is not enough. It is also necessary to <\/span><b>collect the right data, in the right place, and with a sufficient level of reliability<\/b><span style=\"font-weight: 400;\"> to be able to truly put it to use.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9eb4ad2 elementor-widget elementor-widget-heading\" data-id=\"9eb4ad2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why collect data from industrial equipment?\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eb7bbf1 elementor-widget elementor-widget-text-editor\" data-id=\"eb7bbf1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Data collection provides insight into what is actually happening at an industrial facility. By tracking information from equipment and processes over time, teams have objective metrics to analyze their operations and quickly <\/span><span style=\"font-weight: 400;\">quickly identify any deviations.<\/span><\/p><p><span style=\"font-weight: 400;\"> <img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-25831\" src=\"https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees.png\" alt=\"Industry Data Collection\" width=\"400\" height=\"267\" srcset=\"https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees.png 600w, https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-300x200.png 300w\" sizes=\"(max-width: 400px) 100vw, 400px\" \/><\/span><\/p><p><span style=\"font-weight: 400;\">This data can serve several purposes:  <\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Monitor industrial performance.<\/b><span style=\"font-weight: 400;\"> The collected data makes it possible to develop KPIs tailored to each facility: uptime, cycle frequency, changes in a measurement, equipment behavior, or deviations from expected operation. This data provides production teams with a clear picture of their <\/span><a href=\"https:\/\/aiotrust.io\/en\/monitoring-and-industrial-performance\/\"><span style=\"font-weight: 400;\">industrial performance challenges<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Optimize energy consumption.<\/b><span style=\"font-weight: 400;\"> Measuring and monitoring equipment performance also helps identify instances of excessive energy consumption and better understand their causes. Energy monitoring can thus help target optimization efforts and measure their effects over time.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b><img decoding=\"async\" class=\"size-medium wp-image-25829 alignright\" style=\"font-weight: 400;\" src=\"https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-2-300x200.png\" alt=\"Maintenance Data Collection\" width=\"300\" height=\"200\" srcset=\"https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-2-300x200.png 300w, https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-2.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>Anticipate maintenance needs.<\/b><span style=\"font-weight: 400;\"> An unusual change in an engine\u2019s fuel consumption, temperature, pressure, or other parameter may be a sign of gradual deterioration. Analyzing the data can then help detect certain deviations before they lead to a failure and an unplanned shutdown.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Powering digital transformation applications.<\/b><span style=\"font-weight: 400;\">  Field data is, after all, the raw material for many Industry 4.0 projects, from monitoring tools to digital twin models.<\/span><\/li><\/ul><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Strengthening OT Cybersecurity.<\/b><span style=\"font-weight: 400;\"> The collection and analysis of <\/span><b>OT data<\/b><span style=\"font-weight: 400;\">\u2014particularly control signals from equipment\u2014enables the detection of abnormal behavior or deviations from expected operation. This provides an additional level of visibility for identifying suspicious actions or tampered commands that could affect industrial processes, a key challenge in <\/span><span style=\"text-decoration: underline;\"><a href=\"https:\/\/aiotrust.io\/en\/industrial-cybersecurity\/\"><span style=\"font-weight: 400;\">industrial cyberresilience<\/span><\/a><span style=\"font-weight: 400;\">. <\/span><\/span> <\/li><\/ul><div> <\/div><p><span style=\"font-weight: 400;\">There are, therefore, many potential uses for industrial data. But their <\/span><b>relevance depends <\/b><span style=\"font-weight: 400;\">directly on the <\/span><b>data available.<\/b><span style=\"font-weight: 400;\"> No matter how powerful an analytics system may be, it can draw meaningful conclusions only from <\/span><b>reliable information <\/b><span style=\"font-weight: 400;\">to which it has <\/span><b>actually has access to.<\/b><\/p><p><b> <\/b><\/p><p><span style=\"font-weight: 400;\">That is why the first question in an industrial data collection project should not simply be <\/span><b>\u201cWhat do we want to do with our data?\u201d<\/b><span style=\"font-weight: 400;\">, but also <\/span><b>\u201cWhat data do we actually have access to, and what data do we actually need?\u201d<\/b><span style=\"font-weight: 400;\"> <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ce77e46 elementor-widget elementor-widget-heading\" data-id=\"ce77e46\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What data should be collected in the manufacturing industry?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b5ed54b elementor-widget elementor-widget-text-editor\" data-id=\"b5ed54b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Temperature, pressure, flow rate, consumption, engine status, valve opening or closing: the choice of data to collect obviously depends on the <\/span><b>industrial process<\/b><span style=\"font-weight: 400;\"> you wish to monitor and the <\/span><b>objectives being pursued. <\/b><span style=\"font-weight: 400;\">This<\/span> <span style=\"font-weight: 400;\">industrial data acquisition covers everything from <\/span><b>production data<\/b><span style=\"font-weight: 400;\"> as well as data related to <\/span><b>equipment condition. <\/b> <\/p><p><span style=\"font-weight: 400;\">But beyond the nature of the data, we must ask ourselves <\/span><b>at what stage of the industrial process <\/b><span style=\"font-weight: 400;\">it is collected.<\/span><\/p><h3><b>The Importance of Cross-Referencing Measurement Data and Control Data<\/b><\/h3><p><span style=\"font-weight: 400;\">To fully understand how a system works, two main categories of data are of interest:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Measurement data<\/b><span style=\"font-weight: 400;\"> provide information on the actual status of a process or piece of equipment: temperature, pressure, flow rate, speed, level, electrical current, the position of a part, etc.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>The control data<\/b><span style=\"font-weight: 400;\"> correspond to the instructions sent to the equipment: start or stop a motor, open or close a valve, activate a relay, turn on an indicator light, etc.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">Having access to these two types of information allows for a deeper understanding of how a facility operates. For example, it becomes possible to correlate <\/span><b>a command sent with the reaction actually observed on-site<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">If a command requires a piece of equipment to be activated, the collected data can be used to verify that the expected action was indeed carried out. Conversely, a discrepancy between the command and the observed behavior may indicate an anomaly, whether it is due to a technical malfunction, an error, or a malicious act. <\/span><\/p><h3><b>Why is it better to collect data at the source?<\/b><\/h3><p><span style=\"font-weight: 400;\"><img decoding=\"async\" class=\"alignleft wp-image-25830\" src=\"https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-1.png\" alt=\"Industrial Data Collection at the Source\" width=\"500\" height=\"333\" srcset=\"https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-1.png 600w, https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-1-300x200.png 300w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>To properly analyze how industrial equipment operates, <\/span><b>the source of the field data is just as important as its nature<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Data collected as close as possible to the sensors, actuators, and pre-actuators provides direct access to the <\/span><b>raw electrical signals generated by the system\u2019s operation<\/b><span style=\"font-weight: 400;\">, before they are processed by control systems, if at all.<\/span><\/p><p><span style=\"font-weight: 400;\">In particular, this approach provides real-time information <\/span><b>that is independent of the PLC<\/b><span style=\"font-weight: 400;\"> and reflects what is actually happening at the equipment level. It is particularly valuable when comparing a control command with its actual effect, identifying deviations, or verifying the operational integrity of a process.<\/span><\/p><p><b>Collecting data at the source thus provides additional information to ensure the reliability of an analysis of an industrial facility. <\/b><span style=\"text-decoration: underline;\"><span style=\"font-weight: 400;\">(<\/span><a href=\"https:\/\/aiotrust.io\/en\/ot-cybersecurity-securing-industrial-systems-at-source\/\"><span style=\"font-weight: 400;\">To learn more, read the article: \u201cOT Cybersecurity: There Is an Urgent Need to Secure Industrial Systems at the Source\u201d<\/span><\/a><span style=\"font-weight: 400;\">).<\/span><\/span><\/p><p><span style=\"font-weight: 400;\"> <\/span><\/p><p><span style=\"font-weight: 400;\">In this context, cyberattacks <\/span><b>no longer seek merely to cause a <\/b><span style=\"font-weight: 400;\">abrupt halt to production. The most sophisticated scenarios now aim to:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Modify industrial controls;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Falsifying monitoring data;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hide process deviations;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Disable or bypass certain alarms;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Misleading operators about the actual condition of the equipment.<\/span><\/li><\/ul><div> <\/div><p><span style=\"font-weight: 400;\">The challenge, then, lies not only in detecting the intrusion, but in the <\/span><b>ability to distinguish reliable information from compromised information.<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e37bd86 elementor-widget elementor-widget-heading\" data-id=\"e37bd86\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What are the limitations of industrial data collection methods?\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c50b3c elementor-widget elementor-widget-text-editor\" data-id=\"5c50b3c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Manufacturers have several ways to retrieve data from their facilities: programmable , supervisory control systems, Historian, IoT sensors. Each method addresses a specific need and has its limitations.<\/p><p> <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6f3c39e e-grid e-con-boxed e-con e-child\" data-id=\"6f3c39e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-195b80c elementor-widget elementor-widget-text-editor\" data-id=\"195b80c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>Method<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-753368a elementor-widget elementor-widget-text-editor\" data-id=\"753368a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>Accessible data<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-375a77e elementor-widget elementor-widget-text-editor\" data-id=\"375a77e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>Raw or processed signal<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a54d7b9 elementor-widget elementor-widget-text-editor\" data-id=\"a54d7b9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>Access to Order Data<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7366bcf elementor-widget elementor-widget-text-editor\" data-id=\"7366bcf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>Service Call for Installation<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ca7b8b9 elementor-widget elementor-widget-text-editor\" data-id=\"ca7b8b9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>Programmable Logic Controller (PLC)<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6f1d680 elementor-widget elementor-widget-text-editor\" data-id=\"6f1d680\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Variables Defined in the Program<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e173db8 elementor-widget elementor-widget-text-editor\" data-id=\"e173db8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Processed and filtered by the automaton logic<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0fd09e4 elementor-widget elementor-widget-text-editor\" data-id=\"0fd09e4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Yes<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80cf151 elementor-widget elementor-widget-text-editor\" data-id=\"80cf151\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Program Modification for Any New Data<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd61434 elementor-widget elementor-widget-text-editor\" data-id=\"dd61434\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>SCADA Monitoring<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d140a4f elementor-widget elementor-widget-text-editor\" data-id=\"d140a4f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Variables reported by the PLCs<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7473b88 elementor-widget elementor-widget-text-editor\" data-id=\"7473b88\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Processed, sampled<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1b4fa30 elementor-widget elementor-widget-text-editor\" data-id=\"1b4fa30\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Partial<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-101dbf9 elementor-widget elementor-widget-text-editor\" data-id=\"101dbf9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Configuration to be updated<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42d81f3 elementor-widget elementor-widget-text-editor\" data-id=\"42d81f3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>Historian<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-058afe6 elementor-widget elementor-widget-text-editor\" data-id=\"058afe6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">History of Monitored Variables<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa82476 elementor-widget elementor-widget-text-editor\" data-id=\"aa82476\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Aggregated and sampled<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c9b1fc elementor-widget elementor-widget-text-editor\" data-id=\"1c9b1fc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>No<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-233b3ef elementor-widget elementor-widget-text-editor\" data-id=\"233b3ef\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">None, but it depends on the upstream situation<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cca2ffc elementor-widget elementor-widget-text-editor\" data-id=\"cca2ffc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>IoT Sensors Added<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-128a9aa elementor-widget elementor-widget-text-editor\" data-id=\"128a9aa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Only the values measured by the installed sensors<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-67216f9 elementor-widget elementor-widget-text-editor\" data-id=\"67216f9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Gross, within a limited scope<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-60d6fde elementor-widget elementor-widget-text-editor\" data-id=\"60d6fde\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>No<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-63f4879 elementor-widget elementor-widget-text-editor\" data-id=\"63f4879\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Adding hardware, power supply, calibration, connectivity<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a70bf5b elementor-widget elementor-widget-text-editor\" data-id=\"a70bf5b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>Capture on Inputs\/Outputs<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fe8b41e elementor-widget elementor-widget-text-editor\" data-id=\"fe8b41e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Measurement and control signals already present in the system<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2088641 elementor-widget elementor-widget-text-editor\" data-id=\"2088641\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Raw, independent of the PLC<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4224654 elementor-widget elementor-widget-text-editor\" data-id=\"4224654\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Yes<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bf8b1a6 elementor-widget elementor-widget-text-editor\" data-id=\"bf8b1a6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Non-intrusive, with no changes to the program<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7ae6600 elementor-widget elementor-widget-text-editor\" data-id=\"7ae6600\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h3><b>Data is available but is sometimes incomplete or has been processed<\/b><\/h3><p><span style=\"font-weight: 400;\">Programmable logic controllers collect a great deal of information to control industrial processes. However, <\/span><b>not all data generated by the equipment is necessarily transmitted or accessible<\/b><span style=\"font-weight: 400;\"> : the information used is primarily that which was intended for the system\u2019s operation.<\/span><\/p><p><span style=\"font-weight: 400;\">Accessing new data therefore requires modifying the PLC&#8217;s programming or the existing architecture, subject to <\/span><b>validation and production shutdown constraints<\/b><span style=\"font-weight: 400;\"> that this entails.<\/span><\/p><p><span style=\"font-weight: 400;\">Another point: the data transmitted to monitoring or analysis systems has often already been processed. It no longer corresponds to the raw signals observable at the equipment level. (<\/span><a href=\"https:\/\/aiotrust.io\/en\/expert-opinion-nis2-industrial-cyber-resilience-depends-on-field-data-integrity\/\"><span style=\"font-weight: 400;\"> <span style=\"text-decoration: underline;\">To learn more about the importance of field data integrity, read Fr\u00e9d\u00e9ric Breussin\u2019s op-ed on the subject)<\/span><\/span><\/a><span style=\"text-decoration: underline;\"><span style=\"font-weight: 400;\">.<\/span><\/span><\/p><p> <\/p><h3><b>Adding new sensors: more data, more complexity  <\/b><\/h3><p><span style=\"font-weight: 400;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-25828 alignright\" src=\"https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-3-300x200.png\" alt=\"Industrial Data Collection Sensor\" width=\"300\" height=\"200\" srcset=\"https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-3-300x200.png 300w, https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-3.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>Another option is to add industrial IoT sensors specifically designed for the data you want to monitor.<\/span><\/p><p><span style=\"font-weight: 400;\">This approach enriches the available information, but involves adding <\/span><span style=\"font-weight: 400;\">new equipment to the facility, with all the complexity that this may entail: selecting and installing sensors, power supply, calibration, cloud connectivity, and integrating the data into the existing system.<\/span><\/p><p><span style=\"font-weight: 400;\">Nor does it necessarily provide access to all relevant information. <\/span><b>Control signals<\/b><span style=\"font-weight: 400;\">, for example, provide particularly valuable data for understanding the actions actually required of the equipment, but are not necessarily captured by adding measurement sensors.<\/span><\/p><p><span style=\"font-weight: 400;\">The challenge, then, is to find a method that allows us to<\/span><b>access more data without increasing the amount of equipment or adding complexity to the existing infrastructure.<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3fea907 elementor-widget elementor-widget-heading\" data-id=\"3fea907\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How can we simplify and improve the reliability of data collection at an existing facility?  \n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-29c8d23 elementor-widget elementor-widget-text-editor\" data-id=\"29c8d23\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">To access more data without disrupting the existing architecture, the challenge is to be able to <\/span><b>easily deploy new data collection points as close as possible to the equipment<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Several features can make this process easier.<\/span><\/p><h3><b>Prioritize plug-and-play and non-intrusive solutions<\/b><\/h3><p><span style=\"font-weight: 400;\">In an existing industrial environment, every change made to a facility can result in <\/span><b>deployment challenges. <\/b><span style=\"font-weight: 400;\">A \u201c<\/span><b>plug-and-play\u201d<\/b><span style=\"font-weight: 400;\"> minimizes the steps required to access data and reduces installation and configuration time.<\/span><\/p><p><span style=\"font-weight: 400;\">The non-intrusive approach should also be considered: the goal is to <\/span><b>collect data without altering the operation of the industrial process<\/b><span style=\"font-weight: 400;\"> or disrupt the existing equipment.<\/span><\/p><h3><b>Ensure compatibility with heterogeneous equipment<\/b><\/h3><p><span style=\"font-weight: 400;\">An industrial site rarely consists entirely of identical equipment; for example, it may include machines from different generations, PLCs from various manufacturers, and different supervisory control systems that can operate side by side.<\/span><\/p><p><span style=\"font-weight: 400;\">The <\/span><b>data acquisition system<\/b><span style=\"font-weight: 400;\"> must therefore be able to integrate into this environment without requiring the replacement of existing equipment. The <\/span><b>Compatibility with various types of industrial signals and protocols<\/b><span style=\"font-weight: 400;\"> facilitates the centralization of data and its transmission to the tools already in use by the company.<\/span><\/p><h3><b>Collect data as close to the equipment as possible<\/b><\/h3><p><span style=\"font-weight: 400;\">Ease of deployment should not come at the <\/span><b>at the expense of the quality of the information collected. <\/b><span style=\"font-weight: 400;\">As we have seen, direct access to signals from the equipment provides <\/span><b>raw data, independent of any processing performed by the control systems<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Collection devices installed as close as possible to the entrances and exits make it possible to retrieve the measurement and control data already present in the system, without necessarily increasing the number of dedicated sensors.<\/span><\/p><h3><b>Think about data utilization from the very beginning<\/b><\/h3><p><span style=\"font-weight: 400;\">In the industry, the challenge often lies in the<\/span><b> amount of data <\/b><span style=\"font-weight: 400;\">to process. The challenge, therefore, is to be able to collect and analyze data in real time, and then to <\/span><b>transmit the information that is truly useful:<\/b><span style=\"font-weight: 400;\"> raw data when necessary, or aggregated data as needed.<\/span><\/p><p><span style=\"font-weight: 400;\">This data must then be able to feed into <\/span><b>various applications and tools, including: <\/b><span style=\"font-weight: 400;\">supervision, industrial monitoring, energy monitoring, maintenance, OT cybersecurity, and even digital twins.<\/span><b> The interoperability<\/b><span style=\"font-weight: 400;\"> of the data collection solution is therefore essential for transmitting data to existing systems and avoiding the creation of new silos.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3143a40 elementor-widget elementor-widget-heading\" data-id=\"3143a40\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Three Things to Check Before Launching a Fundraising Project  \n<\/h2>\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-185e871 e-con-full e-flex e-con e-child\" data-id=\"185e871\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4d83a18 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"4d83a18\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The <\/span><b>collection of industrial data<\/b><span style=\"font-weight: 400;\"> is not about accumulating ever more information. Before launching a project, three questions determine most technical decisions.<\/span><\/p><p><b>The level of data capture<\/b><span style=\"font-weight: 400;\"> : Is the data you need available in raw form, or has it already been processed by the PLC? <\/span><b>Control data<\/b><span style=\"font-weight: 400;\"> : Do you have it, or are you limited to measurements?<\/span><b> And data utilization<\/b><span style=\"font-weight: 400;\"> : Will the data be fed into a tool that can make use of it?<\/span><\/p><p><span style=\"font-weight: 400;\">With this in mind, AIoTrust has developed a<\/span><b> plug-and-play, non-intrusive solution for collecting and analyzing industrial data<\/b><span style=\"font-weight: 400;\">that accesses data directly at the equipment level. A single infrastructure leverages this data for performance monitoring, energy optimization, maintenance, digital transformation, and OT cybersecurity.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-51388fb elementor-widget elementor-widget-image\" data-id=\"51388fb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"400\" src=\"https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-4.png\" class=\"attachment-medium_large size-medium_large wp-image-25832\" alt=\"Industrial Data Analysis\" srcset=\"https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-4.png 600w, https:\/\/aiotrust.io\/wp-content\/uploads\/Photos-article-collecte-de-donnees-4-300x200.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e616fe0 e-con-full e-flex e-con e-child\" data-id=\"e616fe0\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-17239eb elementor-widget elementor-widget-heading\" data-id=\"17239eb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">FAQ \u2013 Industrial Data Collection<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69b46b2 elementor-widget__width-initial elementor-widget elementor-widget-n-accordion\" data-id=\"69b46b2\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;expanded&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1100\" class=\"e-n-accordion-item\" open>\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-1100\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What is industrial data collection? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1100\" class=\"elementor-element elementor-element-e806768 e-con-full e-flex e-con e-child\" data-id=\"e806768\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1100\" class=\"elementor-element elementor-element-bf85366 e-flex e-con-boxed e-con e-child\" data-id=\"bf85366\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-63030ed elementor-widget elementor-widget-text-editor\" data-id=\"63030ed\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The <\/span><b>industrial data collection<\/b><span style=\"font-weight: 400;\"> involves acquiring the information generated by the machines, equipment, and processes at an industrial site so that it can be analyzed and utilized. This may include measurement data (temperature, pressure, flow rate, energy consumption, etc.), operational status data, or control data. This data acquisition can be used, in particular, for industrial monitoring, performance tracking, maintenance, or OT cybersecurity.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1101\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1101\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How do you collect data from an industrial machine? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1101\" class=\"elementor-element elementor-element-700d5d9 e-con-full e-flex e-con e-child\" data-id=\"700d5d9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1101\" class=\"elementor-element elementor-element-332f6e0 e-flex e-con-boxed e-con e-child\" data-id=\"332f6e0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-01029b8 elementor-widget elementor-widget-text-editor\" data-id=\"01029b8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">There are several methods for <\/span><b>collect data from an industrial machine<\/b><span style=\"font-weight: 400;\">. Some information can be retrieved via the programmable logic controller (PLC) or existing supervisory systems. It is also possible to add dedicated industrial or IoT sensors, or to set up a data acquisition system capable of retrieving signals directly from the equipment.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1102\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1102\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How can you collect industrial data without modifying the existing system? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1102\" class=\"elementor-element elementor-element-97d8ca2 e-con-full e-flex e-con e-child\" data-id=\"97d8ca2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1102\" class=\"elementor-element elementor-element-c393caa e-flex e-con-boxed e-con e-child\" data-id=\"c393caa\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cb17b3e elementor-widget elementor-widget-text-editor\" data-id=\"cb17b3e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Acquisition solutions <\/span><b>plug-and-play and non-intrusive<\/b><span style=\"font-weight: 400;\"> enable data collection from an existing system while minimizing changes to its architecture. Installed as close as possible to the equipment, they can utilize existing signals and avoid the need to add new sensors or modify PLC programming.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1103\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1103\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What is the difference between data from a PLC and data collected at the source? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1103\" class=\"elementor-element elementor-element-100812f e-flex e-con-boxed e-con e-child\" data-id=\"100812f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1103\" class=\"elementor-element elementor-element-e5c4d9b e-con-full e-flex e-con e-child\" data-id=\"e5c4d9b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6643d01 elementor-widget elementor-widget-text-editor\" data-id=\"6643d01\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">A programmable logic controller uses the information necessary for <\/span><b>control the industrial process<\/b><span style=\"font-weight: 400;\">. The data accessible through it may therefore have been selected or processed before being transmitted to other systems.<\/span><\/p><p><span style=\"font-weight: 400;\">In contrast, collection at the source involves capturing the <\/span><b>raw signals as close as possible to the sensors, actuators, and pre-actuators<\/b><span style=\"font-weight: 400;\">. This allows for obtaining information independent of the processing performed by the PLC and, in particular, provides access to measurement and control data generated by the actual operation of the system, with a <\/span><b>higher sampling rate<\/b><span style=\"font-weight: 400;\"> than that of the PLC.<\/span><\/p>\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\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Key Takeaways Industrial data collection involves gathering signals generated by equipment at a site (measurements, status, commands) for analysis. Useful data is judged based on three criteria : its nature, the level at which it is collected, and its integrity. Cross-reference measurement data and control data allows you to verify that a command sent has [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":25832,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[63],"tags":[64],"class_list":["post-25826","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-expertise-article","tag-expertise-article"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Industrial Data Collection: Obtaining Reliable Data<\/title>\n<meta name=\"description\" content=\"Learn how to collect reliable and actionable industrial data for OT performance, maintenance, and cybersecurity.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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