This paper presents research on applying the user identification subsystem for industrial automation systems. Within the framework of this study, we propose software and hardware architecture for the analysis of the effectiveness of identification systems using the browser fingerprints, including a backend server with SQL database and software modules for the analysis and visualization of the data collected. The results of the experiment show that modern frameworks and modules can be used for user identification in industrial automation systems. However, additional verification procedures for user control and management system are required. The maximum average accuracy of user identification based on their integrated browser fingerprint increases with the total number of authorizations (up to 92-93% at the end of the experiment), with almost no new fingerprints generated.