The relevance of this study is due to the need to ensure the reliability and correction of data received from digital devices. Measurement errors can lead to serious consequences, including loss of resources, unreliable scientific data, and security risks. Therefore, it is important to analyze effective methods that help optimize calibration processes. The purpose of the study is to analyze the existing methods of calibration and verification of the accuracy of digital measuring instruments, as well as their impact on measurement results in various operating conditions. The research methods include a theoretical review and analysis of current scientific papers aimed at identifying recommendations for improving the reliability and accuracy of instrument readings. Special attention is paid to the introduction of modern technologies that contribute to improving the quality of measurements. The study provides an overview of modern methods of calibration and verification of the accuracy of digital measuring instruments. Such approaches as simulation modeling, self-calibration, application of software systems and automation of operations in the verification process are considered. The influence of various factors, including operating conditions and the environment, on the measurement results is also analyzed. As a result, it was revealed that automation of verification significantly reduces the influence of the human factor and improves accuracy. The introduction of modern technologies and quality management systems is key to achieving high standards in the field of measurement. A systematic approach to quality management, including consideration of external conditions, is necessary to increase the accuracy and confidence in measurement results.

Keywords: digital measuring instruments, calibration, accuracy verification, verification, operating conditions, measurement reliability, instrument readings, error