Automatic metering of machines
The non-invasive machine monitoring system makes it possible to carry out measurements related to the detection of machine statuses – work/standstill – and machine cycles. The realization of a survey of as little as a few days by installing smart sensors on machines makes it possible to look at the production system through the prism of data collected in real time. This data is analyzed by the Client’s team and Luqam consultants. The drawn conclusions make it possible to implement appropriate optimization measures (either by the Client independently or with Luqam’s support). The machine performance monitoring system serves to better utilize the machine park, eliminate bottlenecks and positively affect the efficiency of the production process.
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Metering system for actual machine operation
Non-invasiveness
Quick and non-invasive installation of sensors on machines
Monitoring and reporting
Reporting, monitoring and describing the causes of machine downtime in real time
Summaries and statistics
Automatic summaries and statistics on the operation of specific machines
Support
Expert support in the selection of optimization methods and tools
How do we work? Learn about the stages of implementing a machine metering system
Automatic metering of machines allows:
Metering of the "old" machine park
Without risky interference with machines and expansion of the IT infrastructure, it is possible to quickly change the “life” of old machines and collect data to analyze the production system.
Creating a system for collecting information
Automatic machine metering sends real-time data from sensors mounted on machines and transmits it to the cloud. The data can be displayed in a panel at operators’ workstations, on dashboards with indicators, and in panels for managers, who can generate automatic reports on machine performance.
Identifying bottlenecks
Analyzing the data collected by the system and filling in the relevant information by operators makes it possible to find bottlenecks in processes.
Selecting the right optimization measures
With real machine data, it is possible to select adequate optimization measures that will realistically improve production indicators.
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Data collection system
The installation of modern sensors makes it possible to create an automatic system for collecting data about the performance of a particular machine. The real data allows you to analyze the availability of the machine and identify bottlenecks in the process.
Machine downtimes and the causes
Operators fill in predefined causes of downtime in an intuitive way on panels mounted at the machines. This data goes directly to the information collection and processing system, and is then displayed in dedicated locations – for example, on TVs that turn into Andon boards. Employees operating the application can monitor machine downtime in real time and analyze why it occurs.
Machine availability analysis
The appropriate configuration of the device makes it possible to make precise measurements regarding the efficiency assessment of the use of a given machine or equipment. By obtaining information about the availability, performance and quality of a given process, it is possible to accurately calculate the OEE indicator.
