MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202531115767 A) filed by Akash Kumar, Patna, Bihar, on Nov. 23, 2025, for 'shapen: a self-healing, ai-driven electrical network system featuring predictive fault analytics, autonomous protection logic, and distributed micro-repair architecture.'
Inventor(s) include Akash Kumar.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "SHAPEN is an autonomous self-healing electrical protection system integrating AI-based fault analytics, multi-sensor IoT fusion, micro-repair actuation, and distributed protective logic. The system detects and predicts faults including: * Overload and overheating * Loose-terminal heating * Partial wire damage * Arc-flash precursors * Motor jam / bearing failure signatures * Voltage imbalance and brownout events Using predictive algorithms, risk scoring, real-time sensing, and rapid switching logic, SHAPEN prevents electrical hazards proactively. The system uses: * AI-driven insight engines * Multi-sensor nodes (current, temperature, vibration, optical arc detection, voltage tracking) * Intelligent relay networks * Optional micro-actuators for terminal tightening or fuse-bridge control * A secure ledger for tamper-proof event logging Designed for plug-and-play scalability, SHAPEN can operate in houses, industries, data centers, smart-city grids, military applications, and high-risk zones. BACKGROUND OF THE INVENTION Traditional electrical systems detect faults only after they occur, typically through fuses, MCBs, relays, or manual inspection. These systems have critical limitations: Common Electrical Failures * Loose connection heating * Short circuits * Over-current and thermal overload * Arc formation / sparking * Partial wire damage or carbonization * Motor bearing faults * Voltage drop or neutral imbalance These cause: * Fires * Machine failures * Long downtime * High maintenance costs * Human dependency for fault tracing Existing "smart" systems only alert or reroute power-they do not self-repair, nor do they execute predictive fault analytics that anticipate hazards. Limitations in Existing Solutions * No unified AI-based diagnosis * No predictive risk scoring * No active micro-repair modules * No ledger-verified fault history * No distributed insight engine * No real-time anomaly learning OBJECT OF THE INVENTION The invention aims to create a self-sufficient electrical protection ecosystem that: 1. Predicts faults before failure occurs 2. Prevents hazards through autonomous protective switching 3. Localizes and repairs minor faults using micro-actuation 4. Learns patterns of load behavior over time 5. Records events securely using a tamper-proof ledger 6. Operates independent of the internet (offline intelligence) Scales easily from households to industries."
Disclaimer: Curated by HT Syndication.
