{"id":4489,"date":"2021-12-17T09:09:47","date_gmt":"2021-12-17T12:09:47","guid":{"rendered":"https:\/\/certi.org.br\/blog\/smart-metrology-na-agricultura-aplicando-a-analise-de-dados-para-aumentar-a-confiabilidade-da-cadeia-produtiva\/"},"modified":"2022-01-19T08:32:01","modified_gmt":"2022-01-19T11:32:01","slug":"smart-metrology-in-agriculture-applying-data-analysis-to-increase-reliability-of-the-production-chain","status":"publish","type":"post","link":"https:\/\/certi.org.br\/blog\/en\/smart-metrology-in-agriculture-applying-data-analysis-to-increase-reliability-of-the-production-chain\/","title":{"rendered":"Smart Metrology in agriculture: applying data analysis to increase reliability of the production chain"},"content":{"rendered":"\n

Industry 4.0 has been revolutionizing production chains throughout the world. In this context, smart metrology<\/em> is aligned to demand for more intelligent and interlinked processes that play an important role in the control of advanced manufacturing. <\/p>\n\n\n\n

Systems that embrace technologies such as the Internet das Coisas (IoT), Big Data, computer vision are increasingly used in a wide variety of productive sectors. By using an infinite quantity of data, they can help to understand a more complex reality. <\/p>\n\n\n\n

However, to be effective, the maxim applies that the data and information collected must be reliable!<\/p>\n\n\n\n

The tools and methodologies for measurement and quality control have a fundamental role in advanced manufacturing, helping to make processes even more agile by capturing and interpreting detailed data about the links of the production chain, and guaranteeing greater reliability and agility. <\/p>\n\n\n\n

This post will explain how smart metrology functions, its advantages, and how it can be applied to agribusiness. <\/em><\/p>\n\n\n\n

Smart Metrology: <\/em>greater reliability and better quality control <\/p>\n\n\n\n

Smart metrology<\/em> brings a different approach to traditional metrology: more than only realizing measurements with reliability, it focuses on evaluating risks and equilibrium \u2013 considering the variety of data \u2013 and directly supports decision making. It thus involves delivering knowledge and not only data, to influence the entire chain. <\/p>\n\n\n\n

For this reason, metrology comes to perform a role closer to that of data analysis. In other words, it no longer focuses on an isolated measurement and comes to measure all the data in a chain, seeking to understand the entire path \u2013 from raw materials to final consumers \u2013 to identify failures and conduct predictive analyses. <\/p>\n\n\n\n

In this way, quality control in companies no longer depends on a final evaluation by sampling. Since most of the equipment involved in production today already have sensors, it is possible to control various variables involved in production, such as humidity, temperature, speed, rotations, vibration, and others. <\/p>\n\n\n\n

By correlating these variables it is possible to evaluate and monitor each step of the production chain and guarantee the quality of the final product. <\/p>\n\n\n\n

Thus, guided towards a practice that is more aligned with the development of industry 4.0, smart metrology<\/em> influences reliability and considers the uncertainty of measurements and the diversity of data to allow more assertive and precise decision making. <\/p>\n\n\n\n

The benefits of Smart Metrology for industry <\/p>\n\n\n\n

Some of the benefits of intelligent metrology for industry are:<\/p>\n\n\n\n