Technical Architecture - HPL MDM Platform

01 System Architecture

Data Sources

HPL Smart Meters

RF / GPRS / NB-IoT

→

HPL HES

Head End System

→

Data Ingestion API

REST / MQTT

↓

MDM Core

                        VEE Engine
                        Validation
                    

                        Data Store
                        Time Series DB
                    

                        Event Processor
                        Alarms & Alerts
                    

                        Analytics Engine
                        Reports & Insights
                    

↓

Applications

Web Dashboard

React / Angular

Reports Engine

PDF / Excel

REST APIs

Integration Layer

Mobile SDK

iOS / Android

↓

Consumers

DISCOM Billing

SAP / Custom

CRM Systems P2

Customer Data

SCADA / DMS

Grid Operations

HPL Mobile App

Consumer Facing

02 Technology Stack

Backend

Python / Node.js

FastAPI / Express

Frontend

React.js

TypeScript / Material UI

Database

PostgreSQL + TimescaleDB

Time Series Optimized

Cache

Redis

In-memory / Queues

Message Queue

Apache Kafka

Event Streaming

Analytics

Python

Data Processing

Container

Docker + Kubernetes

Orchestration

Cloud

AWS / Azure

India Regions

03 Core Modules

📊 VEE Engine

Validation: Range checks, spike detection, zero consumption alerts
Estimation: Historical interpolation, weather-based, neighbor comparison
Editing: Manual override with audit trail, bulk corrections
Rules Engine: Configurable business rules per DISCOM

📈 Reporting Engine

Standard Reports: Consumption, billing, meter status
Trend Analysis: Historical data visualization
Data Export: CSV, Excel, PDF generation
Scheduled Reports: Automated report delivery

🔬 Analytics Engine PHASE 2 - FLUXAI

Load Forecasting: ARIMA, LSTM, Prophet models
Anomaly Detection: Isolation Forest, Autoencoders
Pattern Recognition: Customer segmentation
Theft Detection: ML-based identification

🔒 Security Module

Authentication: OAuth 2.0, SAML, LDAP integration
Authorization: RBAC with granular permissions
Encryption: AES-256 at rest, TLS 1.3 in transit
Audit: Complete action logging, tamper-proof

📋 Reporting Module

Standard Reports: 48+ pre-built RDSS compliant reports
Scheduling: Automated email delivery
Export: PDF, Excel, CSV, JSON, XML
Custom Builder: Drag-and-drop designer P2A

04 API Specifications

RESTful APIs with OpenAPI 3.0 specification. Key endpoints:

Meter Data APIs

POST /api/v1/meters/readings - Ingest meter readings from HES
GET /api/v1/meters/{meter_id}/consumption - Get consumption data
GET /api/v1/meters/{meter_id}/events - Get meter events/alarms

Reporting APIs

GET /api/v1/reports/consumption - Consumption reports
GET /api/v1/reports/losses - AT&C loss calculation
GET /api/v1/reports/export - Export data (CSV/Excel/PDF)

Analytics APIs PHASE 2

GET /api/v1/analytics/forecast - Load forecasting
GET /api/v1/analytics/anomalies - Anomaly detection
GET /api/v1/analytics/theft - Theft detection results

Billing Integration APIs

GET /api/v1/billing/consumption-summary - Billing period summary
GET /api/v1/billing/validated-data - VEE processed data for billing
POST /api/v1/billing/webhook - Push billing data to external system

05 HPL HES Integration

Native connector for seamless integration with HPL's Head End System:

Protocol	REST API / MQTT / DLMS-COSEM (as supported by HPL HES)
Data Push	HES pushes readings to MDM on configurable intervals (default: every 15 minutes)
Data Pull	MDM can query HES for on-demand reads and historical data
Events	Real-time event forwarding from HES to MDM via webhooks
Commands	MDM can send commands to meters via HES (disconnect, reconnect, on-demand read)
Security	API key + IP whitelisting + TLS 1.3 encryption

Integration Approach:

During Phase 1, our team will work with HPL's HES team to review API documentation, set up test environment connectivity, and develop the native connector. We request access to HES API specs and a sandbox environment during the Discovery phase.

🔒 Confidentiality Notice

This document is confidential and proprietary to Trinesis Technologies Pvt. Ltd. It is shared exclusively with HPL Electric & Power Limited for evaluation purposes only. No part of this document may be disclosed, reproduced, or distributed to third parties without prior written consent.

Ref: TRIN/PROP/HPL/2026-02-A | Classification: Confidential