Industrial IoT Wireless Vibration Temperature Sensor V3 Brochure

Device Overview

Introducing NCD’s Long Range Industrial IoT wireless vibration and temperature sensor, boasting up to a 2 Mile range using a wireless mesh networking architecture. Incorporating a 16-bit Vibration and Temperature sensor, this sensor transmits highly accurate vibration data at user-defined intervals.

During Power-Up, this vibration sensor learns “normal” base-line vibration from the monitored device.  This base-line vibration is subtracted from regular sampled vibration readings to improve relevant vibration data.  Ideally, the monitored device should be off while the sensor is learning.  Once the sensor stabilizes and starts sending data, the device/machinery being monitored can be powered on.

This Industrial IoT Wireless Vibration Sensor samples 3-axis of Vibration data and calculates RMS, Maximum, and Minimum vibration readings. This sensor combines these data with temperature data in a data packet, and transmits the result to modems and gateways within wireless range.  Once transmission is complete, the vibration sensor goes back to sleep, thus minimizing power consumption.

Features

  • Industrial Grade 3-axis Vibration Sensor with ±16g Range
  • Calculates RMS, MAX, and MIN g Vibration
  • Noise Removal using Low-pass Filter
  • Frequency Range (Bandwidth) up to 6400 Hz In Processed Mode
  • Frequency Range (Bandwidth) up to 8,000 Hz In Time Domain Mode
  • Sample Rate up to 25,600Hz
  • Time Domain Data for FFT analysis
  • Encrypted Communication with up to 2 Mile Wireless Range
  • Operating Temperature Range -40 to +60 °C
  • Humidity Range 0-90%
  • Wall-Mounted or Magnet Mounted IP65 Rated Enclosure
  • For Indoor and Outdoor Use
  • Vibration Sensor with External Probe Option
  • Up to 100,000 Transmissions from 6 AA Batteries
Figure 1: Device Overview

Wireless Technology

The NCD Industrial range of sensors utilizes DigiMesh, a proprietary networking technology designed by Digi® International. It is especially suitable for IIoT applications as it provides a number of benefits over conventional wireless stacks:

  • Long range – up to 1000 feet in urban environments and 2 miles+ in open areas with the included antennas
  • Mesh networking topology – no single point of failure, self healing network with high redundancy.
  • Long battery life due to low power consumption – up to 10 years
  • Simplified provisioning – extending the mesh network via repeater at no additional configuration complexity
  • Works in the 868MHz, 900MHz and 2.4GHz bands – worldwide region interoperability.

Battery Life

SpecificationsMinimumNominalMaximumNotes
Batteries266May be Powered by 2 or 4 AA Batteries
Battery Life 1 TPD10 YearsTPD Transmissions per Day
Battery Life 12 TPD8 YearsTPD Transmissions per Day
Battery Life 24 TPD5 YearTPD Transmissions per Day
Battery Life 96 TPD3 YearTPD Transmissions per Day

The Truth About Battery Life

Under the best of circumstances, the best non-rechargeable batteries commonly available today are limited to a 10 year non-working shelf life in a room temperature environment. Factors such as actual usage, temperature, and humidity will impact the working life. Be wary of any battery claims in excess of 10 years, as this would only apply to the most exotic and expensive batteries that are not commonly available. Also note that most battery chemistries are not rated for use in extreme temperatures. NCD only uses the best Non-Rechargeable Lithium batteries available today, which are also rated for use in extreme temperatures and have been tested by our customers in light radioactive environments. Lithium batteries offer a 10 year maximum expected shelf life due to limitations of battery technology. NCD will never rate sensor life beyond the rated shelf life of the best batteries available today, which is currently 10 years.

Applications & Use-cases

This sensor is designed to monitor vibration, frequency, and temperature in industrial environments. It provides valuable data that can be used for predictive maintenance, equipment monitoring, and overall operational efficiency. 

Vibration Plus Applications

Advanced Predictive Maintenance for Rotating Equipment

The sensor can be strategically integrated into the maintenance programs for critical rotating machinery, including motors, pumps, compressors, and turbines. By continuously monitoring vibration, frequency, and temperature data, the sensor provides insights into the health of the equipment, detecting early signs of issues such as misalignment, imbalance, or bearing wear. This data-driven approach enables the scheduling of maintenance activities before the equipment fails, reducing unexpected downtime, minimizing repair costs, and extending the operational lifespan of machinery.

Comprehensive Structural Health Monitoring

The sensor can be deployed on infrastructure like bridges, buildings, towers, and dams to detect abnormal vibrations that may signal structural deficiencies or damage. For example, in a bridge, the sensor can track changes in vibration patterns caused by material fatigue, loose joints, or foundation shifts. With continuous monitoring, it is possible to identify and address potential risks well before they escalate into safety hazards, ensuring the long-term integrity and reliability of critical infrastructure.

Process Automation and Quality Control in Manufacturing

In manufacturing environments, the sensor can be installed on key equipment such as conveyors, CNC machines, or robotic arms. By monitoring vibration data in real-time, the sensor can detect when machinery is operating outside its optimal conditions, which may indicate tool wear, imbalance, or other mechanical issues. Integrating this data with a manufacturing execution system (MES) allows for automatic adjustments, immediate alerts, or even shutdowns to prevent defects in products, enhance process efficiency, and maintain consistent product quality.

Optimization of Energy Efficiency in Industrial Systems

The sensor can be applied to monitor vibration levels in energy-intensive equipment such as HVAC systems, large fans, generators, and industrial chillers. Abnormal vibration often correlates with inefficiencies like misalignment, unbalanced loads, or mechanical wear, leading to increased energy consumption and operational costs. By detecting these issues early, the sensor supports proactive maintenance that reduces energy waste, improves the performance of systems, and contributes to the overall sustainability goals of the organization.

Vibration Plus Use-cases

Proactive Wind Turbine Monitoring

Installed on the main shaft or gearbox of wind turbines, the sensor continuously monitors vibration levels to detect anomalies such as misalignment, gear tooth wear, or bearing degradation. Abnormal vibrations can trigger alerts for maintenance teams, allowing them to address issues before they lead to significant failures. This proactive approach not only minimizes turbine downtime but also helps in optimizing energy production, ensuring the reliability and profitability of the wind farm.

Railway Track Condition Assessment

The sensor is mounted on railway tracks to monitor vibrations caused by passing trains. Analyzing this data can reveal early signs of rail wear, track misalignment, or loose fastenings, which are critical for ensuring safe and efficient train operations. By enabling real-time condition monitoring, the sensor helps maintenance teams prioritize repairs, reducing the risk of accidents, service disruptions, and costly track replacements, ultimately enhancing the safety and reliability of the railway network.

Industrial Fan and Blower Performance Monitoring

In a large-scale industrial facility, the sensor is used to monitor the vibration of high-capacity fans, blowers, and ventilation systems. By detecting early indicators of imbalance, misalignment, or bearing failure, the sensor allows maintenance teams to intervene before minor issues escalate into major problems. Ensuring the optimal performance of these systems is crucial for maintaining air quality, temperature control, and overall operational efficiency in the facility, preventing costly downtime and ensuring regulatory compliance.

Conveyer Belt Monitoring

Industrial conveyer belt installation especially those of large size like for example at dig sites have multiple rotational components that are under a heavy load. Stress to these installation is high and so are vibrational levels. It is essential they are monitored in real time, as a fault could be very dangerous. Furthermore as these are often off-site from cities, it is difficult to perform maintenance if it is unexpected. Monitoring vibrations in real time for example at crucial bearings along the line or at the driver/gear box at multiple points could give insights on potential issues before they occur. This would essentially enable the implementation of a solid predictive maintenances strategy and increase reliability and operational efficiency (by reducing downtime).