SYSTEM ARCHITECTURE & PHYSICS ENGINEIS 1893:2016 & IS 456 STANDARDS

How SASA PRATIBIMBHI Works

A continuous 4-stage hardware-to-cloud intelligence loop. From high-frequency piezoelectric edge sensors on physical concrete joints to automated IS 1893:2016 finite element health scoring.

1. The 4-Stage Intelligence Chain

Click on each stage below to inspect real-time sensor parameters, learning algorithms, and output specifications.

Core 4-Stage Data Chain Architecture

End-to-end continuous telemetry from physical concrete joints to enterprise risk dashboards

4-STAGE RESILIENCE PIPELINE
STAGE 01 · EDGE SENSING HARDWAREView Dedicated KAVACH Page

KAVACHEdge Hardware Sensor Nodes

Ruggedized edge sensor hardware affixed to structural critical nodes (beam-column joints, bridge piers, shear wall foundations). Captures high-frequency micro-strain, 3-axis vibration FFTs, inclination, and thermal expansion.

PRIMARY SYSTEM OUTPUT
Raw strain (με), acceleration (g), modal frequency (Hz) telemetry packets
Technical SpecificationsIS STANDARDS
Sampling Rate100 Hz Continuous Dynamic
Network MeshThread / OpenThread 2.4GHz
EnclosureIP68 Industrial Sealed
Power Autonomy5-Year Lithium / Energy Harvest

Unified Structural Health Index Formula (S_twin)

Multi-parameter weighted stiffness degradation model

IS CODE CALIBRATED

SASA PRATIBIMBHI synthesizes dynamic live telemetry with non-linear finite element transfer matrices to compute a singular 0–100 health index for every tracked asset:

S_twin = 0.40 · Φ_ε + 0.30 · Ω_f + 0.20 · Θ_ΔT + 0.10 · Ψ_δ
Φ_ε— Dynamic Micro-Strain Ratio relative to IS 456 yield limit
Ω_f— Fundamental Modal Frequency Shift (Stiffness Loss indicator)
Θ_ΔT— Diurnal Thermal Expansion Residual after ANUBHAV decoupling
Ψ_δ— Differential Settlement & Plinth Incline Displacement

Scoring Index Action Thresholds

Score: 85 – 100
Nominal Elastic Behavior
GREEN / SAFE
Score: 65 – 84
Micro-crack propagation / Thermal anomaly
ORANGE / ATTENTION
Score: < 65
Yield threshold exceedance / Post-seismic shift
RED / HIGH RISK
FINITE ELEMENT 3D DIGITAL TWIN

Live 3D Structural Twin Synchronization

Observe how multi-axis sensor telemetry continuously updates stiffness matrices and modal vibration modes in full 3D space.

● THREE.JS WEBGL RENDERER
PRATIBIMBHI 3D DIGITAL TWIN60 FPS WebGL
Asset ID: ULB-MC-409
12-Story RC Twin Frame (IS 1893:2016)
S_twin Health94.8 / 100
Active Nodes6 / 6 Online
KAV-BM-12Transfer Girder MidspanNOMINAL
Location: Level 2 Primary Beam · 3D Coordinates: [0, 4.2, -2]
Dynamic Strain305 με
Modal Freq2.45 Hz
Temperature28.4°C
Lateral Drift1.2 mm
Live Load45%
Seismic (g)0g

2. Edge-to-Cloud Telemetry Mesh

How physical sensor readings traverse low-power Thread mesh networks to reach municipal dashboards.

Hardware-to-Cloud Telemetry Pipeline

Continuous data flow from concrete sensor nodes to municipal dashboards

EDGE-TO-CLOUD TLS 1.3
STEP 01

Kavach Edge Nodes

Piezoelectric & MEMS sensors on critical joints (100Hz)

STEP 02

Thread Mesh

Low-power 2.4GHz IEEE 802.15.4 self-healing local mesh

STEP 03

Site Gateway

Ruggedized on-premise compute edge buffer (IP67)

STEP 04

MQTT / 4G Cellular

Encrypted TLS 1.3 telemetry transport with failover buffer

STEP 05

Pratibimbhi Cloud

High-throughput time-series ingestion & calibration cluster

STEP 06

Twin OS Engine

IS 1893:2016 finite element physics transfer model

STEP 07

Unified Scoring Model

Live 0-100 health score & automated Raksha alert triage

ENTERPRISE BRAND HIERARCHY
CogniStruct Pvt. Ltd.SASA EngineersSASA PRATIBIMBHI

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