Voice of the Machine-SensoNODE 3.1.18

Parker Hannifin Corporation – Freeware – iOS
aus 5 Bewertungen

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Voice of the Machine™ SensoNODE is a tool designed for diagnostics and condition monitoring to support predictive maintenance strategies. The application enables users to link with Parker's SensoNODE™ Blue wireless sensors to collect data across various applications.
Voice of the Machine™ SensoNODE equips users with essential information and analytical insights on their mobile devices. By delivering real-time and historical trend data collected through SensoNODE™ Blue (Bluetooth®Low Energy) wireless sensors in a user-friendly format, it empowers operators with the analytics necessary to enhance asset performance. Furthermore, data can be readily exported and shared.
Voice of the Machine™ SensoNODE provides timely alerts to users regarding unexpected condition fluctuations that could potentially harm components and equipment. By notifying users when levels exceed or fall below pre-defined thresholds, it offers an opportunity to address issues that may impact the system over time, ultimately reducing unplanned downtime and boosting productivity.
Voice of the Machine™ SensoNODE is compatible with Parker's full range of SensoNODE™ Blue products, including temperature, pressure, humidity, analog converter (4-20mA), vacuum, and ServiceJunior™ CONNECT sensors.
Voice of the Machine™ SensoNODE dashboards give users the flexibility to categorize, label, and color-code sensors in multiple configurations for improved efficiency. The user-friendly interface allows for quick access to sensor measurement information.
Voice of the Machine™ SensoNODE offers capabilities for performing preset calculations that save time and reduce errors. The delta calculations provide real-time variances between two similar measurements, while compensated pressure calculations aid in optimizing equipment performance—for example, pre-charging a bladder accumulator using data from pressure and temperature sensors. Additionally, dew point calculations leverage relative humidity and temperature records to generate accurate results.

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