SDSI
// Modular Technology Ecosystem

One Protocol.
Infinite Fields of Play.

SDSI bridges physical telemetric hardware and cloud simulations. Select an operational profile below to dynamically reconfigure the entire product page's mockups and data structures in real-time.

// Active Profile Parameter

Sustainable Precision Ecology

Reliable, low-cost mesh deployments monitoring microclimates and soil moisture in real-time.

LoRa mesh-net simulation
LIVE
GATEWAYN1Soil Moisture Node 1N2Soil Temp Node 2 N3Sap Flow Node 3N4Weather Gateway

Self-Healing Protocol

Kill Node 2 to watch dynamic, autonomous path redirection.

Pillar 01 // Hardware & Protocol

Modular Communications Platform (LoRa)

Deploy autonomous nodes capable of operating up to a decade without maintenance. Equipped with solar energy harvesting, an IP68 UV-stabilized casing, and an adaptive mesh system.

RF Standard Sub-GHz LoRaWAN
Range Boundary Up to 15km LoS
Mesh Autonomy Self-Healing Peer L3
Power Lifecycle Decade Autonomy
Pillar 02 // SaaS Analytics Dashboard

The SDSI Fleet Management Dashboard

Monitor, configure, and manage sensor clusters anywhere on earth. Access high-resolution charting, setup warning triggers, send remote transmission adjustments, and export telemetry datasets dynamically.

Transport Protocol Secure WebSockets
API Latency Sub-100ms Ingest
Auth Gateway HMAC-SHA256 Keys
Database Model TimescaleDB Core
Apex-1 Uplink Engine
Ingest rate: 5s
Moisture (VWC)
24.3 %
Soil Temp
18.5 °C
Solar Radiation
650 W/m²

// Uplink Log Stream

Connecting socket...

Tx Interval Controller
Active Calibration Offset Matrix Dynamic Linearization
Target State (True)Raw Sensor SignalSDSI Calibrated Output
Measured Sensor Drift +15%
Calibrated Offset Delta -15% (Corrected)
Clay-Sand Dielectric Constant Offset +15%

Drag slider to adjust simulated hardware drift and observe the real-time SaaS polynomial linearizer.

Pillar 03 // Smart Calibration SaaS

SaaS Calibration Engine

Overcome hardware wear and environmental decay dynamically. Our cloud calibration pipeline isolates sensor drift, corrects telemetry signals using polynomial scaling, and generates firmware-ready coefficients.

Calibration Model Kalman / Regression
Accuracy Correction 99.8% precision alignment
Firmware Export C Header Arrays
Thermal Alignment Active Temp Compensating
Pillar 04 // Simulation & Forecasting

Digital Twin Simulation Engine

Run predictive models directly on geographic grid states. Analyze stress thresholds, forecast soil moisture depletion or gas leak propagation, and optimize response programs before hardware is even shipped.

Model Approach Physics-Informed Neural Net
Processing Node GPU-Accelerated Parallel
Scenario Horizon 3 - 14 Days Forecasting
Accuracy Ratio 94.2% Correlation
Simulator Ready
Twin Impact: Soil moisture depletion modeling
Grid Sector A1
98% Optimal
Grid Sector A2
99% Optimal
Grid Sector A3
96% Optimal
Grid Sector B1
98% Optimal
Grid Sector B2
97% Optimal
Grid Sector B3
99% Optimal
Grid Sector C1
98% Optimal
Grid Sector C2
95% Optimal
Grid Sector C3
97% Optimal

Select the scenario type below and trigger the digital twin simulation to generate a predictive report.

Scenario: Heatwave & Drought Stress

Ready to Deploy SDSI Infrastructure?

Get access to complete technical manuals, payload schema definitions, calibration coefficients, and a sandbox account for our web platform.