Optimum Equipment Monitoring System

An integrated system for ensuring the efficiency of production processes using mobile technologies, the Industrial Internet of Things (IIoT), artificial learning (machine vision).

The system provides online monitoring of sensors installed on machine tools (including CNC), transformers, compressors and other industrial equipment that requires constant monitoring to reduce downtime and breakdowns. Sensor data is transmitted to mobile devices and stationary computers of responsible persons and allows you to quickly respond to emergency situations.

An example of monitoring machine operation in a web application

Formation of a shift task in a web application

The equipment monitoring system was developed on the Optimum Platform (included in the Unified Register of Russian Programs for Electronic Computers and Databases of the Ministry of Digital Development, Communications and Mass Media of the Russian Federation).

Monitoring machine operation on a mobile device (Android OS)

Summary report on the workshop on a mobile device (OS "Aurora")

As a result of the operation of the monitoring system at the pilot production site, productivity increased by 40% owing to reduction in the equipment downtime caused by organizational reasons and optimization of schedules and retooling. Availability of reliable and timely information about the actual load of the equipment and the reasons for its downtime made it possible to monitor the operations of the plant on a daily basis and identify in advance shortfall in production target.

F. A. Buzhov, Project Manager, Equipment Monitoring System, Kirovsky Zavod

Tasks

Obtaining reliable information about the actual load of equipment and the work of personnel.
Formation of a "chain of help". Escalation of equipment downtime problems.
Reduced unplanned downtime and maintenance and repair (MRO) costs.
Increasing the load factor of machine tools.
Quality control of planned and unscheduled works (Who? What? How? Where? And when exactly did it?).
Timely detection of developing node defects.
Reduced repair time.
Ensuring 100% compliance with safety requirements.
Accumulation and analysis of collected data.