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Example result generated from a rough idea. Actual output may vary by input.
Product / Device / Idea Title
Smart Vibration Sensor Module
Free Description
Industrial vibration sensor for predictive maintenance. Needs to detect abnormal vibration patterns on motors and pumps. Wireless transmission preferred. Small size, long battery life.
Numeric Targets · Specs (Optional)
BLE 5.0, -40~85°C, IP67, CR2032 battery 2+ years, <40mm footprint, CE/FCC
Attached Files
You can attach product photos, sketches, or reference documents. AI uses them for more accurate analysis.
The document on the right is generated automatically from the input above.
Product / Device / Idea Title
Smart Vibration Sensor Module
Free Description
Industrial vibration sensor for predictive maintenance. Needs to detect abnormal vibration patterns on motors and pumps. Wireless transmission preferred. Small size, long battery life.
Numeric Targets · Specs (Optional)
BLE 5.0, -40~85°C, IP67, CR2032 battery 2+ years, <40mm footprint, CE/FCC
Attached Files
You can attach product photos, sketches, or reference documents. AI uses them for more accurate analysis.
The document on the right is generated automatically from the input above.
Attachments & Reference Images
Sensor mounting concept — motor bearing
image
PCB layout concept — 2-layer 35mm
image
Request Overview Summary
A compact wireless vibration sensor module designed for industrial predictive maintenance. The device captures real-time vibration data, transmits it via BLE 5.0, and provides early fault detection alerts through an edge AI algorithm.
1. Project Overview
This project aims to develop a compact, low-power vibration sensor module for industrial equipment monitoring. The module will be deployed on motors, pumps, and conveyor systems to enable predictive maintenance by detecting abnormal vibration patterns before mechanical failure occurs.
2. Key Requirements
The following core specifications must be met for the sensor module to function in industrial environments:
- •Vibration sensing range: 0.1 Hz to 10 kHz with ±3% accuracy
- •Wireless protocol: BLE 5.0 with mesh networking support
- •Operating temperature: -40°C to +85°C (IP67-rated enclosure)
- •Power supply: Coin-cell battery (CR2032) with 2+ year lifespan
- •Data processing: On-device FFT analysis with edge AI classification
- •Alert output: Vibration threshold breach + anomaly score via gateway
- •Dimensions: Under 40mm × 40mm × 15mm
- •Certification: CE, FCC, and industrial EMC compliance
3. Target Environment & Use Cases
The sensor module is intended for deployment in manufacturing facilities, power plants, and logistics centers. Primary use cases include motor bearing health monitoring, pump cavitation detection, and conveyor belt alignment tracking.
4. Data & Communication
Sensor data is collected at 1 kHz sampling rate and processed locally using FFT. Extracted features (RMS, peak amplitude, spectral kurtosis) are transmitted to a central gateway every 60 seconds or immediately upon anomaly detection.
5. Attachments & Reference
Reference sketches include proposed PCB layout (2-layer), enclosure CAD model (IP67), and a preliminary BOM with candidate MEMS accelerometers.
Undefined Specs / Risk Analysis
Pre-production Checklist
- ✅Enclosure IP67 rating and material specified
- ❌MEMS accelerometer part number finalized
- ⚠️Battery life validation under real load
- ✅Gateway communication protocol (MQTT/CoAP) defined
- ❌Edge AI model training data collected
- ❌CE/FCC pre-test report completed
Vendor Verification Questions / Suggestions
- 1Prioritize battery life testing with actual transmission intervals before finalizing the PCB antenna design.
- 2Request MEMS accelerometer samples from 2-3 vendors (e.g., Bosch, STMicro, Analog Devices) for side-by-side vibration accuracy comparison.
- 3Include a firmware OTA update mechanism from the beginning to allow edge AI model refinements post-deployment.
- 4Add a magnet mounting option alongside screw holes for temporary installation on motors during pilot testing.
Quote Request Email Draft / Next Steps
- 1Confirm MEMS accelerometer part number and order evaluation samples.
- 2Complete enclosure 3D print for IP67 sealing test.
- 3Develop BLE gateway prototype to validate mesh network range.
- 4Collect baseline vibration data from 3 target machines for edge AI training.
- 5Prepare EMC pre-compliance test plan for CE/FCC submission.
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Structured Documents
From Raw Ideas
Enter what you want to make freely and AI automatically generates a technical request packet that can be delivered directly to vendors. Attaching photos, sketches, and drawings creates richer documents.
Auto-Generated Core Items
Request Overview & Product Description
Structurally organize purpose, background, and functional requirements
Key Function & Performance Requirements
Auto-organize core operating conditions and numeric performance targets
Technical & Environmental Conditions
Organize operating conditions including size, material, power, waterproof, temperature
Undefined Spec Auto-Extraction
Auto-identify and list undecided items
A total of 12 items are auto-generated — includes request overview, usage purpose, environment, technical conditions, attachment image analysis, pre-production checklist
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Free Description Input
Enter what you want to make freely. Attaching photos, sketches, and drawings creates richer organization.
No need to be precise
Technical Request Packet Auto-Generation
AI writes 12 items including request overview, undefined specs, vendor verification questions, and quote request email drafts.
Auto-organized for vendor delivery
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Word/HTML download $1 · Market Snapshot +$5
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- AI-generated technical request preview
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- Key requirements
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- AI-generated technical request draft
- Project summary
- Key requirements
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