In industrial settings, motors, fans, compressors, and CNC machines operate day and night, with hidden dangers often lurking silently within vibration and noise. Without real-time monitoring, these “early signals” can be overlooked until equipment suddenly fails, leading to production stoppages or even safety incidents.
Shenzhen Beirui Technology Co., Ltd. has launched the BL450 industrial embedded computer + Y37 4-channel IEPE module, enabling 144kHz high-speed acquisition and edge AI analysis, allowing factories to truly have “hearing” and transition from reactive maintenance to predictive maintenance.
The Cost of Not Monitoring Industrial Equipment
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Production Downtime: Sudden failure of bearings or rotors can force the entire production line to stop.
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Delayed Maintenance: Long intervals between manual inspections can lead to untimely detection of anomalies.
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High Costs: Emergency repairs and production losses can amount to millions.
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Safety Hazards: Equipment shocks or failures can result in personal injury and property damage.
In factories without vibration and acoustic monitoring, these risks occur every day.
4-Channel IEPE Input, 144kHz High-Speed Acquisition
The Y37 module is one of the optional I/O modules for the IOy / ARMxy series, specifically designed for IEPE sensors, supporting the acquisition of signals such as acceleration, pressure, and sound pressure.
Technical Highlights:
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Number of Channels: 4 independent inputs (CH1~CH4)
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Sampling Rate: 144kSPS/channel, high-speed wideband filtering
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Resolution: 24 bits, high precision to restore real signals
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Bandwidth Range: 0.6Hz ~ 20kHz, covering most vibration/acoustic scenarios
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Signal-to-Noise Ratio: ＞100dB@1kHz, ensuring clean and reliable data
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Sensor Power Supply: Built-in 23V excitation power supply to meet the power needs of IEPE sensors
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Anti-Interference: Complies with IEC61000-4-2/4/5 EMC Level 3 industrial standards
This means that the Y37 does not just “collect data”; it can convert high-impedance charge signals into low-noise, low-impedance voltage signals, laying a solid foundation for subsequent edge analysis.
BL450: Edge AI Analysis Engine
As the computational core, the BL450 industrial embedded computer is equipped with an RK3588 processor + 6TOPS NPU, capable of performing the following at the edge:
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FFT Spectrum Analysis: Extracting key vibration features
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AI Model Inference: Identifying early faults such as bearing wear, misalignment, and looseness
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Multi-Data Fusion: Combining vibration signals with RS485/CAN electrical parameters for analysis
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Real-Time Alerts: On-site judgment in seconds, without waiting for cloud computation
In other words, it is not just a data collector, but an edge intelligent brain.
Typical Application Scenarios
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Fans / Pumps: Monitoring bearing vibrations to detect anomalies early and prevent downtime
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Energy Storage Liquid Cooling Systems: Monitoring the operational status of pumps and fans to ensure battery safety
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Rail Transit: Real-time detection of impacts between tracks and wheels to identify wear risks early
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Robots / AGVs: Monitoring vibrations of motors and gearboxes to extend the lifespan of critical components
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Research Laboratories: As a high-precision acquisition platform for material fatigue and acoustic impact testing
Customer Benefits: From “Paying for Repairs” to “Saving in Advance”
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Reduced Downtime Losses: Predictive maintenance can reduce unexpected downtime by over 30%.
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Lower Maintenance Costs: Transitioning from “reactive repairs” to “proactive maintenance” can save 20-40% in costs.
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Extended Equipment Lifespan: Replacing components at optimal intervals to avoid excessive wear.
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Enhanced Safety: Reducing sudden accidents to ensure the safety of personnel and equipment.
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Facilitating Intelligent Upgrades: Integrating vibration and electrical parameter data into the cloud to promote smart operations.
A Complete Closed Loop from Sensors to the Cloud
The BL450 comes pre-installed with BLIoTLink protocol conversion software, supporting protocols such as Modbus, IEC104, OPC UA, MQTT, enabling seamless integration with platforms like Huawei Cloud, Alibaba Cloud, AWS, and ThingsBoard.
Combined with Node-RED, it can quickly achieve:
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Sensor → Edge Acquisition and Analysis → Cloud Visualization Dashboard
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Automatic generation of health reports and remote alert notifications
Truly establishing a complete closed loop of on-site monitoring → edge computing → cloud management → maintenance decision-making.
Conclusion
BL450 + Y37 4-Channel IEPE Input Module (144kHz High-Speed Acquisition) gives factories the “ear of hearing” and enables AI to make equipment “speak”.
It not only accurately captures early vibration signals but also performs real-time analysis at the edge, helping factories transition from “reactive repairs” to “predictive maintenance”, reducing losses, enhancing safety, and extending lifespan.
👉 In the trend of smart manufacturing and intelligent operations, BL450 + Y37 is not just a collection module, but a truly implementable industrial intelligent monitoring solution.
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