预测性维护
班纳工程公司的预测性维护利用实时数据监控资产并诊断问题,从而减少停机时间和成本,延长资产寿命并提高生产率。
New Products | Asset Monitoring Gateway with Snap ID
New Products | Asset Monitoring Gateway with Snap ID
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班纳工程公司的预测性维护利用实时数据监控资产并诊断问题,从而减少停机时间和成本,延长资产寿命并提高生产率。
Predictive maintenance from Banner Engineering uses real-time data to monitor assets and diagnose problems, reducing downtime and costs, extending asset lifespan, and increasing productivity.
利用邦纳的定制能力,可以简化安装和配置,最大程度减少错误和部件库存,从而提升照明产品性能。
Whenever items on a conveyor unexpectedly get stuck and cause a jam, it leads to a potentially costly production delay if not resolved quickly. The Banner Q5X Jam Detection Sensor is a plug-and-play solution that immediately alerts operators whenever a physical jam occurs.
Banner’s new DXMR90-4K IO-Link Master collects factory data from connected IO-Link devices and sends it directly to cloud systems, PLCs, and HMIs. As an IIoT controller, it combines signals from four IO-Link ports and outputs a unified stream of data for real-time condition monitoring, predictive maintenance, and insight-driven decision-making.
Modernize your factory with our 5-Step Guide: Unlock and leverage existing equipment data for enhanced operational insights and predictive maintenance.
Myths, Challenges, and Best Practices for your next IIoT project
Banner’s innovative, compact serial IO-Link Masters are available in either two-port or four-port models. They each serve as a gateway for connecting IO-Link devices to a Snap Signal IIoT system, or other control systems on the market. The IO-Link Masters transmit machine data, process parameters, and diagnostic information via Modbus RTU, which can connect directly to any Modbus RTU interface, including the Snap Signal DXMR90 Industrial Controller. This configuration makes it possible to send IO-Link data to cloud platforms and SCADA systems.
The Q2X is the next generation of miniature photoelectric sensors. With its compact size and rugged design, the Q2X is ideal for installation in very precise machinery and tight industrial spaces.
Learn about the three key ways that IIoT tools will impact manufacturing operations by harnessing data.
Visualize your factory equipment data with real-time insights.