What is the aim of machine data acquisition?
The overriding aim of machine data acquisition is to increase productivity in the long term. Analysis of the data can result in more efficient machine utilization and better order planning.
MDE systems perform the following tasks:
What does machine data consist of?
Machine data can be very diverse. In addition to information such as capacity utilization or machine status, machine data also includes the production quantity and energy consumption. There are two types of machine data, which are Process data and the Product data.
What production data is available?
The production data serve as Key figures for industrial performance >and provide information about the quality of production. The relevant data can be qualitative as well as Quantitative and vary depending on the type of product. For example, they relate to the weight, thickness, temperature during production or even the number of units produced.
Extended functions of modern MDE systems: increasing production output
Modern machine data acquisition systems not only offer basic data acquisition functions, but also use advanced technologies to optimize production processes in Real time monitoring and optimization. These systems are crucial for companies looking for ways to increase their efficiency, Reduce production costs and improve the quality of their products. They go far beyond traditional methods by enabling complex data analyses and supporting preventive measures that lead to significant improvements in the quality of their products. Improving the overall performance of production lead.
Real-time monitoring and interfaces
The MDC systems enable continuous monitoring of machine performance through automatic data acquisition. By using standardized interfaces such as MK | Connect, these systems can continuously collect and process data on machine conditions such as runtime, faults, energy consumption and capacity utilization.
Integration in Manufacturing Execution Systems (MES)
Integration into MES systems enables comprehensive visualization of production data. Dashboards provide decision-makers with direct access to critical performance indicators, which speeds up decision-making and improves responsiveness to production changes.
Application of digital twins
Machine data acquisition systems are considered the basis for digital twins. These provide a virtual representation of the physical machines and make it possible to simulate and analyze production processes without affecting the real plant. This not only reduces the risk and costs associated with physical testing, but also enables more precise planning and optimization of production processes.