Showing 181–192 of 239 results

  • SC-QR Capacitor Start Type

    SC-QR Capacitor Start Type
    Open-Protected Type, IP 20 Degrees of Protection
    SC-QR 1/2HP 4P

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  • SCADA Software

    It may be difficult to effectively represent equipment monitoring
    using only two-dimensional graphics. On the other hand,
    three-dimensional graphics can enhance the visibility with its
    stereoscopic displays.
    Three-dimensional graphics allow you to have monitor views
    from various angles. This enables you to: know the condition of
    equipment quickly and accurately, have instinctive monitoring
    views and make intuitive control
    MC Works64 enables you to construct redundant server systems
    and server-and-client systems.
    It is possible to utilize two servers, a control server and a standby
    server, to enhance the reliability of the system and to reduce the
    communication load on the network.
    It is possible to embody a configuration suitable for the system
    size, from a stand-alone system to a large-scale system.
    Various equipment lists are available to automatically generate
    graphics, programs, and OPC tag settings. The design support tool
    prevents incorrect tag settings, thus enhancing the design quality.
    Standard templates facilitate system configuration.
    By monitoring energy consumption, energy use can be reduced
    over time.
    Energy consumption can be visualized through the integration
    of Mitsubishi Electric’s energy measurement equipment and AX
    Energy; an energy analysis and visualization tool.
    The lineup of Mitsubishi Electric’s energy-saving equipment that
    includes the inverter with enhanced motor control efficiency will
    reduce energy consumption at your plant.
    Mitsubishi Electric’s MES interface module can be used to collect
    information on production control. AX Facility can then display and
    analyze the diagnosis and equipment failure information.
    These products automatically collect the information on the
    condition of equipment from a large amount of data, using it for
    the improvement of: the availability factor, preventive maintenance,
    fault prediction etc.
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