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How does the production machine data acquisition software work?

Machine data acquisition software is a tool that enables the collection, storage, processing and visualisation of data from machines and equipment. This data can be used to monitor machine performance, diagnose faults, analyse machine data and improve production processes.

Why use machine data acquisition software?

Machine data acquisition software offers many benefits, including:

      • Improving machine performance: Machine monitoring software can detect machine malfunctions that can lead to a drop in productivity. This enables problems to be addressed quickly and effectively before they lead to machine breakdown.

      • Reducing operating costs: Machine diagnostics solution can help identify and repair faults before they occur. This avoids the costs associated with machine failures, such as repair costs, loss of production and loss of reputation.

      • Increase machine safety: It can detect situations that can lead to accidents. This allows preventive action to be taken to prevent accidents and ensure a safe working environment.

      • Improving production processes: Software can be used to identify areas where production processes can be improved. This can increase productivity, reduce costs and improve product quality.

    Types of machine data acquisition software

    Machine data acquisition software can be divided into three basic types:

        • Machine monitoring software (MMS) is used to collect data on the current state of machines. This data can include information such as temperature, speed, voltage and current.

        • Machine diagnostics software is used to analyse machine data in order to detect faults. This software can use various diagnostic techniques such as trend analysis, anomaly detection and analysis of historical data.

        • Machine data analytics software is used to analyse machine data to identify trends and relationships. This software can be used to make decisions to improve efficiency, reduce costs and increase safety. Such as MES, MOM, or OEE software.

      How does the machine data acquisition software work?

      The machine data acquisition software consists of the following main steps:

          • Data retrieval: The software uses various devices to retrieve data from machines and equipment. These devices include sensors, transducers and interfaces.

          • Data storage: Data is stored in a database so that it can be analysed later.

          • Data processing: Data are processed to remove errors and prepare them for analysis.

          • Data visualisation: Data is visualised in graphs, tables and other formats to make it easier to understand.

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        Data visualisation is a key features that production data acquisition software provides. It allows to observe process malfunctions and make an informed based decisions to change failing process.

        Advantages of using machine data acquisition software

        Machine data acquisition software offers many benefits that can improve productivity, reduce costs and increase safety. Here are some of these benefits

        Improving machine performance: The solution can detect machine malfunctions that can lead to a drop in productivity. This enables problems to be addressed quickly and effectively before they lead to machine breakdown.

        For example, it can detect that the engine temperature is too high. This allows the machine operator to take action to lower the temperature before it leads to engine damage.

        Reducing operating costs: Diagnostics software can help identify and repair faults before they occur. This avoids the costs associated with machine failures, such as repair costs, loss of production and loss of reputation.

        For example, it can detect that a machine bearing is worn out. This allows the machine operator to order a new bearing before the machine fails.

        Increased machine safety: The solution can detect situations that can lead to accidents. This allows preventive action to be taken to prevent accidents and ensure a safe working environment.

        For example, it can detect that a machine is in motion when the operator is not present. This allows the machine operator to take action to shut down the machine and prevent an accident.

        Improving production processes: Machine data analysis software can be used to identify areas where production processes can be improved. This can increase productivity, reduce costs and improve product quality.

        For example, it can be used to identify machines that are not operating at full capacity. This allows the machine operator to take action to improve the performance of these machines.

        Additional benefits of using machine data acquisition software

        In addition to the benefits mentioned above, the use of this kind of software can also bring other benefits, such as:

            • Improving product quality: It can be used to identify trends in product quality. This allows action to be taken to improve product quality.

            • Increasing production flexibility: The solution can be used to identify opportunities to increase production flexibility. This allows production to be adapted to changing customer needs.

            • Increasing environmental awareness: Machine data analysis software can be used to identify areas where energy and other resource consumption can be reduced. In this way, the environmental impact of production can be reduced.

           

          Example: A good data acquisition software can be used to detect micro stops which lead to significant OEE lost.

          Choice of software for machine data acquisition

          The following factors should be taken into account when selecting software for machine data acquisition:

              • Data collection requirements: The solution should be able to collect data from different machines and equipment.

              • Data storage requirements: The complete system should be able to store data securely and efficiently.

              • Data processing requirements: The software should be able to process data quickly and accurately.

              • Data visualisation requirements: It should be able to visualise data in a clear and easy to understand manner.

            The ANT Solutions software can be integrated into any machine on the market, so that data from different sources can be collected in one place

                • ANT Solutions’ dedicated team of specialists will analyse the factory layout and propose suitable equipment and solutions. 

                • Our company creates modular IT solutions that interact in real time with production data to enable rapid decision-making and improve productivity, reduce costs and increase safety.

                • ANT Solutions’ system is available in the cloud, making it quick and easy to deploy in the enterprise.

                • The solution is flexible and scalable to suit businesses of all sizes.

               

              ANT Team with in Bormioli Pharma. Plastics containers manufacturer. Their products include pails, pallets, drums and so much more.

              All of this makes ANT Solutions’ software the ideal solution for businesses that want to use machine data to improve their operations.

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