{"id":1324,"date":"2023-05-19T10:25:57","date_gmt":"2023-05-19T10:25:57","guid":{"rendered":"https:\/\/integrationobjects.com\/blog\/?p=1324"},"modified":"2026-03-12T11:26:39","modified_gmt":"2026-03-12T11:26:39","slug":"historize-industrial-data-opc-easy-archiver","status":"publish","type":"post","link":"https:\/\/integrationobjects.com\/blog\/historize-industrial-data-opc-easy-archiver\/","title":{"rendered":"OPC HDA Explained: How to Collect and Archive Historical OPC Data"},"content":{"rendered":"<p data-start=\"479\" data-end=\"907\">OPC HDA (Historical Data Access) is the standard for accessing historical process data in industrial environments. Historical data is essential for trend analysis, performance monitoring, compliance, and operational intelligence.<\/p>\n<p data-start=\"479\" data-end=\"907\">This article explains what OPC HDA is, how it works, its industrial use cases, and how tools like <a href=\"https:\/\/integrationobjects.com\/sioth-opc\/sioth-opc-data-archiving\/opc-easy-archiver\/\">OPC Easy Archiver<\/a> help you reliably store OPC HDA data in databases such as MS SQL Server.<\/p>\n<h2 data-section-id=\"y8x3y0\" data-start=\"1062\" data-end=\"1086\"><strong data-start=\"1066\" data-end=\"1086\">What is OPC HDA?<\/strong><\/h2>\n<p data-start=\"271\" data-end=\"624\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/OPC_Historical_Data_Access\">Historical Data Access<\/a> (HDA) is an industrial standard that enables clients to access archived process information stored on OPC servers. Unlike real-time data streams, which provide current measurements, HDA focuses on past values and time-stamped records, making it ideal for analyzing trends and evaluating long-term system performance.<\/p>\n<p data-start=\"626\" data-end=\"706\">With this approach, engineers can retrieve a variety of data types, including:<\/p>\n<ul data-start=\"708\" data-end=\"1108\">\n<li data-section-id=\"g3ifk1\" data-start=\"708\" data-end=\"804\">\n<p data-start=\"710\" data-end=\"804\"><strong data-start=\"710\" data-end=\"736\">Recorded measurements:<\/strong> Access raw values over time to track machine or process behavior.<\/p>\n<\/li>\n<li data-section-id=\"1bj9e2o\" data-start=\"805\" data-end=\"956\">\n<p data-start=\"807\" data-end=\"956\"><strong data-start=\"807\" data-end=\"832\">Time-stamped entries:<\/strong> Ensure every data point is accurately logged, supporting audits, troubleshooting, and synchronization with other systems.<\/p>\n<\/li>\n<li data-section-id=\"gcnmyq\" data-start=\"957\" data-end=\"1108\">\n<p data-start=\"959\" data-end=\"1108\"><strong data-start=\"959\" data-end=\"989\">Aggregated and trend data:<\/strong> Summarize information with averages, minimums, maximums, or other statistical metrics to observe long-term patterns.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1110\" data-end=\"1206\">This type of historical data is widely used in industrial automation for applications such as:<\/p>\n<ul data-start=\"1208\" data-end=\"1658\">\n<li data-section-id=\"or5ejb\" data-start=\"1208\" data-end=\"1330\">\n<p data-start=\"1210\" data-end=\"1330\"><strong data-start=\"1210\" data-end=\"1235\">Performance analysis:<\/strong> Identify inefficiencies by examining how processes have behaved over days, weeks, or months.<\/p>\n<\/li>\n<li data-section-id=\"1rtxsdk\" data-start=\"1331\" data-end=\"1440\">\n<p data-start=\"1333\" data-end=\"1440\"><strong data-start=\"1333\" data-end=\"1358\">Compliance reporting:<\/strong> Maintain structured logs to meet regulatory standards and quality requirements.<\/p>\n<\/li>\n<li data-section-id=\"e3pktk\" data-start=\"1441\" data-end=\"1545\">\n<p data-start=\"1443\" data-end=\"1545\"><strong data-start=\"1443\" data-end=\"1470\">Predictive maintenance:<\/strong> Use trend analysis to anticipate equipment failures and reduce downtime.<\/p>\n<\/li>\n<li data-section-id=\"e71wfr\" data-start=\"1546\" data-end=\"1658\">\n<p data-start=\"1548\" data-end=\"1658\"><strong data-start=\"1548\" data-end=\"1578\">Root cause investigations:<\/strong> Examine past process data to determine the factors contributing to incidents.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1660\" data-end=\"1885\">By centralizing historical process information in a structured database, industrial teams gain actionable insights, improve operational efficiency, and create a foundation for advanced analytics and predictive operations.<\/p>\n<h2 data-section-id=\"ueyqqd\" data-start=\"1433\" data-end=\"1458\"><strong data-start=\"1437\" data-end=\"1458\">How OPC HDA Works<\/strong><\/h2>\n<p data-start=\"1460\" data-end=\"1516\"><a href=\"https:\/\/opcfoundation.org\/developer-tools\/specifications-classic\/historical-data-access\/\">OPC HDA<\/a> operates using a client-server architecture:<\/p>\n<ul data-start=\"1518\" data-end=\"1678\">\n<li data-section-id=\"14x2l2a\" data-start=\"1518\" data-end=\"1578\">\n<p data-start=\"1520\" data-end=\"1578\"><strong data-start=\"1520\" data-end=\"1535\">HDA Client:<\/strong> Requests historical data from the server<\/p>\n<\/li>\n<li data-section-id=\"63lcs1\" data-start=\"1579\" data-end=\"1634\">\n<p data-start=\"1581\" data-end=\"1634\"><strong data-start=\"1581\" data-end=\"1596\">HDA Server:<\/strong> Stores and provides historical data<\/p>\n<\/li>\n<li data-section-id=\"1eyspak\" data-start=\"1635\" data-end=\"1678\">\n<p data-start=\"1637\" data-end=\"1678\"><strong data-start=\"1637\" data-end=\"1655\">Communication:<\/strong> Usually via COM\/DCOM<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1680\" data-end=\"1810\">Data can include raw values, interpolated values, and aggregated trends, which can then be stored in SQL databases for analysis.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1325 aligncenter\" src=\"https:\/\/integrationobjects.com\/blog\/wp-content\/uploads\/2023\/05\/OPC-Easy-Archiver-1.png\" alt=\"industrial data\" width=\"651\" height=\"460\" srcset=\"https:\/\/integrationobjects.com\/blog\/wp-content\/uploads\/2023\/05\/OPC-Easy-Archiver-1.png 843w, https:\/\/integrationobjects.com\/blog\/wp-content\/uploads\/2023\/05\/OPC-Easy-Archiver-1-300x212.png 300w, https:\/\/integrationobjects.com\/blog\/wp-content\/uploads\/2023\/05\/OPC-Easy-Archiver-1-768x543.png 768w\" sizes=\"auto, (max-width: 651px) 100vw, 651px\" \/><\/p>\n<h2 data-section-id=\"1qmep3x\" data-start=\"1817\" data-end=\"1856\"><strong data-start=\"1821\" data-end=\"1856\">Industrial Use Cases of OPC HDA<\/strong><\/h2>\n<p data-start=\"1858\" data-end=\"1891\">OPC HDA is commonly applied in:<\/p>\n<ul data-start=\"1893\" data-end=\"2311\">\n<li data-section-id=\"nu6rbe\" data-start=\"1893\" data-end=\"1977\">\n<p data-start=\"1895\" data-end=\"1977\"><strong data-start=\"1895\" data-end=\"1922\">Performance Monitoring:<\/strong> Track historical trends of equipment or process data<\/p>\n<\/li>\n<li data-section-id=\"6mn7cb\" data-start=\"1978\" data-end=\"2053\">\n<p data-start=\"1980\" data-end=\"2053\"><strong data-start=\"1980\" data-end=\"2004\">Root Cause Analysis:<\/strong> Investigate incidents using historical records<\/p>\n<\/li>\n<li data-section-id=\"vtrcu3\" data-start=\"2054\" data-end=\"2136\">\n<p data-start=\"2056\" data-end=\"2136\"><strong data-start=\"2056\" data-end=\"2083\">Predictive Maintenance:<\/strong> Analyze historical patterns to anticipate failures<\/p>\n<\/li>\n<li data-section-id=\"149i2sn\" data-start=\"2137\" data-end=\"2213\">\n<p data-start=\"2139\" data-end=\"2213\"><strong data-start=\"2139\" data-end=\"2164\">Compliance Reporting:<\/strong> Maintain structured historical logs for audits<\/p>\n<\/li>\n<li data-section-id=\"bwn785\" data-start=\"2214\" data-end=\"2311\">\n<p data-start=\"2216\" data-end=\"2311\"><strong data-start=\"2216\" data-end=\"2245\">Centralized Data Storage:<\/strong> Aggregate data from multiple OPC servers into a single database<\/p>\n<\/li>\n<\/ul>\n<h2 data-section-id=\"rorgby\" data-start=\"2318\" data-end=\"2360\"><strong data-start=\"2322\" data-end=\"2360\">Why Archiving OPC HDA Data Matters<\/strong><\/h2>\n<p data-start=\"2362\" data-end=\"2441\"><a href=\"https:\/\/integrationobjects.com\/blog\/category\/opc-data-archiving\/\">Storing OPC data<\/a> in a structured database such as MS SQL Server provides:<\/p>\n<ul data-start=\"2443\" data-end=\"2834\">\n<li data-section-id=\"1p79gem\" data-start=\"2443\" data-end=\"2544\">\n<p data-start=\"2445\" data-end=\"2544\"><strong data-start=\"2445\" data-end=\"2466\">Reliable Storage:<\/strong> Protects data from network interruptions using store-and-forward mechanisms<\/p>\n<\/li>\n<li data-section-id=\"5mgjcm\" data-start=\"2545\" data-end=\"2618\">\n<p data-start=\"2547\" data-end=\"2618\"><strong data-start=\"2547\" data-end=\"2570\">Advanced Analytics:<\/strong> Enables SQL queries, BI tools, and dashboards<\/p>\n<\/li>\n<li data-section-id=\"1p9y0km\" data-start=\"2619\" data-end=\"2713\">\n<p data-start=\"2621\" data-end=\"2713\"><strong data-start=\"2621\" data-end=\"2648\">Enterprise Integration:<\/strong> Seamlessly connects with analytics platforms and cloud systems<\/p>\n<\/li>\n<li data-section-id=\"odbj1e\" data-start=\"2714\" data-end=\"2834\">\n<p data-start=\"2716\" data-end=\"2834\"><strong data-start=\"2716\" data-end=\"2748\">Traceability and Compliance:<\/strong> Maintains structured historical records for regulatory and operational requirements<\/p>\n<\/li>\n<\/ul>\n<h2 data-section-id=\"4hwk2e\" data-start=\"2841\" data-end=\"2876\"><strong data-start=\"2845\" data-end=\"2876\">How OPC Easy Archiver Helps<\/strong><\/h2>\n<p data-start=\"2878\" data-end=\"2984\"><strong data-start=\"2878\" data-end=\"2899\">OPC Easy Archiver<\/strong> is a data logging solution designed for industrial environments. It allows you to:<\/p>\n<ul data-start=\"2986\" data-end=\"3282\">\n<li data-section-id=\"11ufke5\" data-start=\"2986\" data-end=\"3034\">\n<p data-start=\"2988\" data-end=\"3034\">Collect OPC HDA, OPC DA, and OPC AE data<\/p>\n<\/li>\n<li data-section-id=\"161bm4x\" data-start=\"3035\" data-end=\"3153\">\n<p data-start=\"3037\" data-end=\"3153\">Store historical data in MS SQL, Azure SQL, Oracle, IBM DB2, MySQL, PostgreSQL, Microsoft Access, or CSV files<\/p>\n<\/li>\n<li data-section-id=\"jeocm5\" data-start=\"3154\" data-end=\"3227\">\n<p data-start=\"3156\" data-end=\"3227\">Ensure reliable data delivery with store-and-forward capabilities<\/p>\n<\/li>\n<li data-section-id=\"ejarun\" data-start=\"3228\" data-end=\"3282\">\n<p data-start=\"3230\" data-end=\"3282\">Connect to databases via OLEDB or ODBC drivers<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3284\" data-end=\"3355\">For step-by-step tutorials, see our <strong data-start=\"3320\" data-end=\"3352\"><a class=\"decorated-link\" href=\"https:\/\/integrationobjects.com\/blog\/collect-opc-hda-data\/\" rel=\"noopener\" data-start=\"3322\" data-end=\"3350\">OPC HDA to MS SQL guide<\/a><\/strong>.<\/p>\n<h3 data-section-id=\"1u957ut\" data-start=\"3722\" data-end=\"3740\"><strong data-start=\"3726\" data-end=\"3740\">Conclusion<\/strong><\/h3>\n<p data-start=\"3742\" data-end=\"3981\">OPC HDA provides standardized access to historical process data and is critical for industrial operations. By leveraging products like OPC Easy Archiver, you can collect, store, and analyze OPC data efficiently in SQL databases.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>OPC HDA (Historical Data Access) is the standard for accessing historical process data in industrial environments. Historical data is essential for trend analysis, performance monitoring,<\/p>\n","protected":false},"author":1,"featured_media":1326,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[189],"tags":[53],"class_list":["post-1324","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-opc-data-archiving","tag-opc-easy-archiver"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>OPC HDA Explained | Industrial Data Archiving<\/title>\n<meta name=\"description\" content=\"Learn what OPC HDA is and how to archive historical industrial data for analysis, reporting, and compliance.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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