# 👕 WIA-IND-002: Smart Textile Standard

[![Version](https://img.shields.io/badge/version-1.0.0-blue.svg)]()
[![License](https://img.shields.io/badge/license-MIT-green.svg)]()
[![Standard](https://img.shields.io/badge/WIA-Standard-purple.svg)]()


> **Standard ID:** WIA-IND-002
> **Version:** 1.0.0
> **Status:** Active
> **Category:** IND / Industrial
> **Color:** Indigo (#6366F1)

---

## 🌟 Overview

The WIA-IND-002 standard defines the comprehensive framework for smart textile technology, including conductive fibers, sensor-embedded fabrics, temperature-regulating materials, e-textiles, health-monitoring clothing, and wearable electronics integration. This standard provides a unified interface for smart textile design, manufacturing, and performance analysis.

**홍익인간 (弘益人間) - Benefit All Humanity** - This standard aims to revolutionize the textile industry by integrating advanced electronics and materials science into everyday fabrics, improving health monitoring, comfort, and quality of life for all humanity.

## 🎯 Key Features

- **Conductive Fiber Integration**: Silver, copper, graphene, and carbon nanotube fibers
- **Sensor-Embedded Textiles**: Temperature, pressure, strain, and biosignal sensors
- **Temperature Regulation**: Phase-change materials and thermoelectric fabrics
- **Health Monitoring**: Heart rate, respiration, ECG, and activity tracking
- **Energy Harvesting**: Piezoelectric, thermoelectric, and solar energy collection
- **Washability Standards**: Durability through multiple wash cycles
- **Wireless Communication**: BLE, NFC, and RFID integration
- **Comfort Metrics**: Breathability, flexibility, and wearability analysis

## 📊 Core Concepts

### 1. Conductivity in Textiles

```
Electrical Conductivity (S/m) = σ₀ × (fiber fraction) × (alignment factor)
```

Where:
- `σ₀` = Base conductivity of conductive material (S/m)
- `fiber fraction` = Volume fraction of conductive fibers (0.01-0.20)
- `alignment factor` = Fiber orientation factor (0.3-1.0)

### 2. Sensor Sensitivity

```
Sensitivity (ΔR/R₀) = GF × ε
```

Where:
- `GF` = Gauge Factor (1-100 for strain sensors)
- `ε` = Applied strain (%)
- `ΔR/R₀` = Relative resistance change

### 3. Temperature Regulation Performance

```
Cooling Power (W/m²) = h × (Tₛₖᵢₙ - Tₐₘᵦ) + ε × σ × (Tₛₖᵢₙ⁴ - Tₐₘᵦ⁴)
```

Where:
- `h` = Heat transfer coefficient (5-25 W/m²·K)
- `Tₛₖᵢₙ` = Skin temperature (°C)
- `Tₐₘᵦ` = Ambient temperature (°C)
- `ε` = Emissivity (0.1-0.95)
- `σ` = Stefan-Boltzmann constant (5.67×10⁻⁸ W/m²·K⁴)

### 4. Energy Harvesting

```
Piezoelectric Power (μW) = 0.5 × k × A × f × d²
```

Where:
- `k` = Piezoelectric coefficient (20-50 pC/N)
- `A` = Active area (cm²)
- `f` = Movement frequency (Hz)
- `d` = Displacement amplitude (mm)

### 5. Washability Durability

```
Retention Rate (%) = (R_after / R_initial) × 100
```

Where:
- `R_after` = Resistance after n wash cycles
- `R_initial` = Initial resistance
- Target: >80% retention after 50 wash cycles

## 🔧 Components

### TypeScript SDK

```typescript
import {
  SmartTextileSDK,
  calculateConductivity,
  analyzeSensorPerformance,
  simulateTemperatureRegulation,
  estimateEnergyHarvesting
} from '@wia/ind-002';

// Create smart textile instance
const smartShirt = new SmartTextileSDK({
  fabricType: 'polyester_cotton_blend',
  conductiveFiber: 'silver_plated_nylon',
  fiberFraction: 0.05,
  sensorType: 'ECG',
  area: 500 // cm²
});

// Calculate conductivity
const conductivity = calculateConductivity({
  baseConductivity: 1.5e6, // S/m for silver
  fiberFraction: 0.05,
  alignmentFactor: 0.7
});

// Analyze sensor performance
const sensorData = analyzeSensorPerformance({
  sensorType: 'strain',
  gaugeFactor: 15,
  appliedStrain: 2.5 // %
});

console.log(`Conductivity: ${conductivity.toFixed(2)} S/m`);
console.log(`Sensor sensitivity: ${sensorData.sensitivity.toFixed(3)}`);
```

### CLI Tool

```bash
# Calculate fabric conductivity
wia-ind-002 calc-conductivity --material silver --fraction 0.05 --alignment 0.8

# Analyze sensor performance
wia-ind-002 calc-sensor --type strain --gauge-factor 20 --strain 3.0

# Calculate temperature regulation
wia-ind-002 calc-thermal --skin-temp 34 --ambient 25 --emissivity 0.85

# Estimate energy harvesting
wia-ind-002 calc-energy --type piezo --area 100 --freq 2.5

# Simulate washability
wia-ind-002 simulate-wash --cycles 50 --retention-target 80
```

## 📚 Documentation

| Document | Description |
|----------|-------------|
| [WIA-IND-002-v1.0.md](./spec/WIA-IND-002-v1.0.md) | Complete specification with technical details |
| [TypeScript SDK](./api/typescript/) | Full TypeScript implementation |
| [CLI Tool](./cli/wia-ind-002.sh) | Command-line interface |

## 🚀 Quick Start

### Installation

```bash
# Clone repository
git clone https://github.com/WIA-Official/wia-standards.git
cd wia-standards/standards/smart-textile

# Run installation script
./install.sh

# Verify installation
wia-ind-002 --version
```

### TypeScript Usage

```bash
# Install via npm
npm install @wia/ind-002

# Or yarn
yarn add @wia/ind-002
```

```typescript
import { SmartTextileSDK, HealthMonitor } from '@wia/ind-002';

// Create health monitoring shirt
const healthShirt = new HealthMonitor({
  sensors: ['ECG', 'temperature', 'respiration'],
  fabricBase: 'cotton_spandex',
  conductiveLayer: 'silver_ink',
  washRating: 50
});

// Monitor vital signs
const vitals = await healthShirt.measureVitals({
  duration: 60, // seconds
  samplingRate: 250 // Hz for ECG
});

console.log(`Heart Rate: ${vitals.heartRate} bpm`);
console.log(`Respiration Rate: ${vitals.respirationRate} breaths/min`);
console.log(`Skin Temperature: ${vitals.temperature}°C`);
```

## 🧵 Conductive Fiber Technologies

| Material | Conductivity (S/m) | Flexibility | Washability | Cost | Applications |
|----------|-------------------|-------------|-------------|------|--------------|
| Silver-plated Nylon | 10³-10⁵ | Excellent | Good | High | ECG, EMG sensors |
| Copper Wire | 10⁶-10⁷ | Poor | Fair | Low | Heating elements |
| Graphene Fiber | 10⁴-10⁵ | Excellent | Excellent | Very High | Research, high-end |
| Carbon Nanotube | 10⁴-10⁶ | Good | Good | High | Sensors, actuators |
| Stainless Steel | 10⁶ | Fair | Excellent | Low | Heating, shielding |
| Conductive Polymers | 10-10³ | Excellent | Fair | Moderate | Flexible circuits |

## 📡 Sensor Types and Applications

### Physiological Sensors
- **ECG (Electrocardiogram)**: 3-12 lead cardiac monitoring
- **EMG (Electromyogram)**: Muscle activity detection
- **Temperature**: Skin temperature monitoring (±0.1°C accuracy)
- **Respiration**: Breathing rate and pattern analysis
- **SpO₂**: Blood oxygen saturation measurement

### Physical Sensors
- **Strain Sensors**: Body movement and posture tracking (GF: 1-100)
- **Pressure Sensors**: Force distribution and gait analysis
- **Accelerometers**: Activity recognition and fall detection
- **Humidity Sensors**: Sweat rate and hydration monitoring

### Environmental Sensors
- **UV Sensors**: Sun exposure tracking
- **Air Quality**: Pollution and allergen detection
- **Temperature**: Ambient temperature monitoring

## 🌡️ Temperature Regulation Technologies

### Phase Change Materials (PCM)
- **Paraffin-based**: Melting point 28-35°C, latent heat 150-250 J/g
- **Salt Hydrates**: Higher thermal storage, lower cost
- **Microencapsulated PCM**: Better durability, washability

### Active Cooling/Heating
- **Peltier Elements**: Thermoelectric heating/cooling
- **Conductive Heating**: Resistive heating through conductive fibers
- **Liquid Cooling**: Microfluidic channels for advanced applications

### Passive Regulation
- **Breathable Membranes**: PTFE, PU coatings (MVTR: 5,000-20,000 g/m²/day)
- **Moisture-wicking**: Capillary action for sweat management
- **Reflective Coatings**: IR-reflective for hot environments

## ⚡ Energy Harvesting Technologies

| Technology | Power Density | Efficiency | Applications |
|------------|---------------|------------|--------------|
| Piezoelectric Fiber | 0.1-10 μW/cm² | 10-30% | Motion-based charging |
| Thermoelectric | 1-50 μW/cm² | 5-10% | Body heat harvesting |
| Solar (flexible) | 10-100 μW/cm² | 10-20% | Outdoor applications |
| Triboelectric | 0.01-1 μW/cm² | 20-50% | Friction-based |

## 🧪 Washability Standards

### Test Protocols
- **ISO 6330**: Domestic washing and drying procedures
- **IEC 61340-4-9**: Electrostatic properties after laundering
- **AATCC 61**: Colorfastness to laundering

### Performance Criteria
- **Conductivity Retention**: >80% after 50 cycles
- **Sensor Accuracy**: <5% degradation after 30 cycles
- **Mechanical Integrity**: No delamination or cracking
- **Water Resistance**: IP rating maintenance

## 📊 Applications and Use Cases

### Healthcare
1. **Continuous Patient Monitoring**: ICU, post-surgery recovery
2. **Chronic Disease Management**: Diabetes, cardiac conditions
3. **Elderly Care**: Fall detection, vital sign monitoring
4. **Rehabilitation**: Movement tracking, therapy compliance

### Sports and Fitness
1. **Performance Monitoring**: Athlete training optimization
2. **Injury Prevention**: Biomechanics analysis
3. **Recovery Tracking**: Sleep quality, muscle fatigue

### Military and First Responders
1. **Vital Sign Monitoring**: Combat casualty care
2. **Environmental Monitoring**: Heat stress, toxic exposure
3. **Communication**: Integrated antennas, HUD connectivity

### Consumer Fashion
1. **Smart Clothing**: Interactive, color-changing fabrics
2. **Heated Garments**: Outdoor sports, cold climates
3. **UV Protection**: Sun exposure tracking and alerts

## 🔬 Manufacturing Processes

### Fiber Production
- **Coating**: Dip-coating, electroless plating
- **Core-Sheath**: Conductive core with protective sheath
- **Blending**: Mixing conductive and conventional fibers

### Textile Integration
- **Weaving**: Conductive yarns in warp or weft
- **Knitting**: Seamless integration, 3D structures
- **Embroidery**: Precise sensor placement
- **Printing**: Screen printing, inkjet with conductive inks

### Sensor Integration
- **In-situ**: Sensors created during fabric production
- **Post-processing**: Attachment after textile manufacturing
- **Hybrid**: Combination of integrated and attached sensors

## 🌐 WIA Integration

This standard integrates with:
- **WIA-INTENT**: Natural language control of smart garments
- **WIA-OMNI-API**: Universal API for health data aggregation
- **WIA-SOCIAL**: Sharing fitness achievements and health data
- **WIA-HEALTH**: Integration with medical records and telemedicine
- **WIA-AI**: Machine learning for pattern recognition and predictions

## ⚠️ Safety and Compliance

### Electrical Safety
- **Low Voltage**: <12V DC operation
- **Isolation**: Galvanic isolation for body-contact sensors
- **Current Limiting**: <100 μA through body

### Biocompatibility
- **ISO 10993**: Biological evaluation of medical devices
- **Skin Sensitivity**: Hypoallergenic materials
- **Toxicity**: Non-toxic materials and coatings

### Data Privacy
- **GDPR Compliance**: EU data protection regulation
- **HIPAA**: Health information privacy (US)
- **Encryption**: End-to-end data encryption

## 🤝 Contributing

Contributions welcome! Please see our [Contributing Guide](https://github.com/WIA-Official/wia-standards/CONTRIBUTING.md).

## 📄 License

MIT License - see [LICENSE](https://github.com/WIA-Official/wia-standards/LICENSE)

## 🔗 Links

- **Website**: [wiastandards.com](https://wiastandards.com)
- **GitHub**: [github.com/WIA-Official/wia-standards](https://github.com/WIA-Official/wia-standards)
- **Documentation**: [docs.wiastandards.com](https://docs.wiastandards.com)
- **Certification**: [cert.wiastandards.com](https://cert.wiastandards.com)

---

**홍익인간 (弘益人間) · Benefit All Humanity**

*WIA - World Certification Industry Association*
*© 2025 SmileStory Inc. / WIA*
*MIT License*

---

**홍익인간 (弘益人間) - Benefit All Humanity** 🌍