Humans2Ocean

Overview

Ocean data collection is expensive, requiring specialized research vessels and equipment. Humans2Ocean democratizes oceanography by creating low-cost CTD (Conductivity, Temperature, Depth) sensors deployable by citizen scientists, sailing vessels, and small research initiatives. The project won the Red Dot Award for Design Concept, recognizing innovation in environmental monitoring technology.

Challenge

Professional CTD sensors cost $10,000-50,000 and require specialized deployment equipment. This limits ocean data collection to well-funded research institutions, leaving vast ocean areas unmapped. The challenge was creating sensors that:

• Match scientific-grade accuracy at 1/10th the cost
• Survive harsh marine environments (salt water, pressure, temperature extremes)
• Operate autonomously for extended periods
• Transmit data reliably from remote ocean locations
• Enable deployment by non-specialists (sailors, educators, volunteers)

Solution

We developed a smart CTD sensor system integrating:

Sensor Hardware

• High-precision conductivity, temperature, and pressure sensors
• GPS module for location tagging
• IMU (accelerometer/gyroscope) for orientation and motion tracking
• Long-life battery system (6+ months deployment)
• Ruggedized waterproof housing (IP68, depth-rated to 100m)

Network Infrastructure

• Nokia far edge computing nodes for local data processing
• LoRaWAN communication for long-range, low-power data transmission
• Mesh networking capability allowing sensors to relay data through each other
• Cellular fallback for near-shore deployments

Data Platform

• Cloud-based data aggregation and visualization
• Automated quality control and anomaly detection
• Open API for researcher access
• Public dashboard showing real-time ocean conditions

Technical Implementation

Sensors & Electronics

• Conductivity: Graphite electrode cell (±0.01 mS/cm accuracy)
• Temperature: PT1000 RTD sensor (±0.1°C accuracy)
• Pressure: Piezoresistive transducer (±0.5% full scale)
• GPS: Multi-constellation GNSS with RTK capability
• Microcontroller: Low-power ARM Cortex-M4 with FPU
• Storage: 32GB flash for offline data buffering

Communication

• LoRaWAN transceiver (sub-GHz, 10km+ range)
• Adaptive data rate optimization for power/range balance
• Store-and-forward for intermittent connectivity scenarios

Power Management

• 3000mAh lithium primary cell (non-rechargeable for reliability)
• Dynamic power modes: deep sleep, sampling, transmission
• Energy harvesting research (solar, wave motion) for future iterations

Enclosure

• Injection-molded polycarbonate housing
• Double O-ring seals with pressure compensation
• Antifouling coating (prevents barnacle/algae accumulation)
• Bright colors for visibility/retrieval

Deployment Model

The system enables multiple deployment strategies:

1. Citizen Science: Sailing vessels, recreational boats deploy sensors during passages 2. Moored Arrays: Sensors anchored at fixed locations for time-series data 3. Drifting Buoys: Free-floating sensors tracking ocean currents 4. Research Collaboration: Academic institutions deploying sensor networks for specific studies

Each sensor transmits data to Nokia’s far edge network, which handles local processing (outlier detection, data compression) before forwarding to cloud storage.

Impact Metrics

After 18 months:

• 200+ sensors deployed globally
• 500,000+ data points collected
• Coverage in under-sampled regions (Southern Ocean, Southeast Asian archipelagos)
• Data contributed to 5 peer-reviewed oceanographic studies
• 30+ educational institutions using platform for student research

Environmental Contribution

The sensors have mapped:

• Temperature stratification in remote ocean regions
• Salinity variations indicating freshwater influx from glacial melt
• Deep water upwelling events
• Ocean current patterns validated against satellite altimetry

Data is openly available, contributing to climate research, fisheries management, and maritime safety.

Red Dot Award Recognition

The project won Red Dot Award: Design Concept (2023) in the “Doing Good” category, recognized for:

• Democratizing access to scientific-grade ocean data
• Innovative use of edge computing in environmental monitoring
• Design that enables citizen participation in oceanography
• Contribution to climate science through distributed sensing

Key Innovation

Professional oceanographic instruments prioritize absolute accuracy and laboratory-traceable calibration. Humans2Ocean optimizes for deployed accuracy—sensors that are “good enough” for scientific contribution, reliable enough for autonomous operation, and affordable enough for mass deployment. By shifting from precision instruments to “precision network,” the system trades individual sensor perfection for statistical power through scale.

The Nokia far edge integration is crucial: processing data locally before cloud transmission reduces bandwidth requirements, enables real-time quality control, and allows sensors to operate semi-autonomously even with intermittent connectivity.

Sustainability Considerations

The project grapples with environmental trade-offs:

• Materials: Plastic housing necessary for marine durability, but designed for recovery and reuse
• Batteries: Primary cells chosen over rechargeable for reliability/longevity, but creates disposal challenge
• Biofouling: Antifouling coating contains biocides (environmental impact) but necessary for long-term deployment

Ongoing research explores biodegradable enclosures for disposable deployments and energy harvesting to eliminate battery dependency.

Future Development

• Expanded sensing: Dissolved oxygen, pH, chlorophyll fluorescence
• Acoustic integration: Hydrophones for marine mammal monitoring
• Satellite connectivity: Direct-to-satellite for truly remote deployments
• Underwater gliders: Integration with autonomous underwater vehicles
• Community mesh: Sensors forming ad-hoc networks for collaborative sensing

Open Science Commitment

Hardware designs, firmware, and data processing algorithms are open-sourced under MIT license, enabling:

• Academic institutions building custom variants
• Researchers auditing sensor accuracy and calibration
• Commercial entities creating compatible sensors
• Educational use in engineering curricula

The project demonstrates that effective environmental monitoring doesn’t require proprietary technology—open collaboration accelerates both innovation and deployment.