HPL ELECTRIC & POWER

Limited | Gurugram, Haryana

Technical Architecture

MDM Platform | Appendix A

Scalable
Cloud-Native Architecture
<100ms
API Response Time
99.9%
Target Uptime
Real-time
Data Processing

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
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: 50+ pre-built RDSS compliant reports
  • Custom Builder: Drag-and-drop report designer
  • Scheduling: Automated email delivery
  • Export: PDF, Excel, CSV, JSON, XML

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

🔒

Trinesis Technologies

Confidential Proposal