Grain Silo Acoustic Anomaly Detection (Blockage, Friction & Explosion Risk Prevention) — ATEX

Detects friction / dust ignition risks

Acoustic

Quick Overview

Problem

Grain silos and handling systems are exposed to acoustic anomalies caused by friction, material bridging, abnormal flow, or mechanical contact. These events can precede blockages, structural stress, smouldering grain, or dust ignition—often occurring without visible warning.

Solution

Sensa.io’s ATEX-certified acoustic sensors continuously monitor sound signatures inside and around grain silos to detect abnormal noise patterns associated with friction, blockage, or ignition risk.

Value

Reduced fire & explosion risk • Early blockage detection • Improved operational safety • Lower downtime

ATEX

Dust Zones 20–22 • Ex ia IIIC T135°C Db certified acoustic sensors

The Operational Challenge

Grain silos and associated equipment (discharge chutes, conveyors, reclaimers) face several hidden risks:

  • Material bridging or arching during discharge
  • Grain friction against steel walls or liners
  • Abnormal flow patterns creating mechanical stress
  • Dust accumulation combined with ignition sources

Typical failure scenarios include:

  • Sudden discharge blockage requiring emergency intervention
  • Mechanical overheating due to friction
  • Smouldering grain leading to fire
  • Dust explosion triggered by ignition and confinement

Traditional monitoring relies on:

  • Visual inspection during unloading
  • Operator experience and audible checks
  • Reactive shutdown after flow stops

These methods expose personnel to hazardous dust zones and often detect issues too late.

Why Acoustic Monitoring Matters

Acoustic emissions are early indicators of abnormal mechanical or material behaviour.

Continuous acoustic monitoring enables operators to:

  • Detect friction noise before heat builds up
  • Identify abnormal flow sounds indicating bridging or collapse
  • Detect impacts or structural resonance
  • Intervene before mechanical damage or ignition occurs

Acoustic monitoring complements temperature and ΔP measurements by detecting dynamic events in real time.

Sensa.io Solution

Sensa.io delivers a wireless, intrinsically safe acoustic monitoring solution for grain silos and bulk handling systems.

Core Components

Acoustic Sensor (ATEX Ex ia IIIC T135°C Db)

Wide-band acoustic detection capturing friction noise, impacts, and abnormal flow signatures.

Wireless Communication

Supports LoRaWAN, Modbus, and MQTT, ideal for large agricultural storage sites

Installation & Power

Battery-powered clamp-on installation on silo walls, chutes, or discharge zones — no wiring, no hot work.

Operational Benefits

  • Early detection of blockages and friction
  • Reduced dust explosion risk
  • Safer unloading operations
  • Lower emergency intervention frequency

Results and ROI

Metric Before After
Blockage detection Late Early
Fire & explosion risk Elevated Reduced
Unplanned downtime Frequent Reduced
Personnel exposure High Lower

ATEX Compliance and Safety

All acoustic sensors for grain silo monitoring comply with:

  • ATEX Directive 2014/34/EU
  • Ex ia IIIC T135°C Db (Dust Zones 20–22)
  • IECEx certification for combustible dust

The intrinsically safe design allows monitoring in explosive dust environments without ignition risk.

Integration and compatibility

Protocols

LoRaWAN, Modbus RTU/TCP, MQTT, REST API

Systems

Grain management platforms, SCADA, safety dashboards

Deployment

Centralised or multi-silo monitoring

Cybersecurity

AES-128 encrypted communication

FAQ - Common Questions

Are Sensa.io sensors compatible with any gateway or network?

Yes, they connect to any LoRaWAN or MQTT infrastructure (Kerlink, Cisco, Milesight, MultiTech, etc.) for flexible integration with existing SCADA systems.

What ATEX certifications apply to Sensa.io devices?

All hazardous-area models are certified Ex II 2 G Ex ia IIC T4 Gb and IECEx approved for Zones 0–2.

What is the typical battery life?

Up to 10 years at 15-minute intervals, depending on signal strength and environment.

How are the sensors integrated into existing systems?

Through standard protocols — LoRaWAN, Modbus, MQTT, REST API — no proprietary middleware needed.

How does predictive maintenance reduce OPEX?

Early anomaly detection reduces emergency interventions by 30–40 %, extends equipment life and lowers energy costs.

What does the Sensa.io Valve Position Sensor actually measure?

The device detects real-time valve position states—open, closed, or intermediate—with high accuracy. It continuously sends this information wirelessly to your monitoring dashboard.

Can this sensor detect partial valve movement or stuck valves?

Yes. The sensor identifies irregular patterns such as partial movement, delayed response, or stuck valves, enabling early maintenance before failure occurs.

Is this sensor suitable for manual, motorized, and actuated valves?

Yes. It supports a wide range of valve types including ball, gate, butterfly, actuator-driven, and manual valves.

How fast does it update the valve position?

You can configure the reporting interval—from seconds to minutes—depending on your operational and battery needs.

How long does installation take?

Most installations take under 10 minutes. The sensor mounts using brackets or clamps without modifying existing valves.

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