Sunday, 30 August 2026

Meditation Community —JUT Ranchi


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Saturday, 29 August 2026

PATENT OF TECHNICAL DESIGN

 

PATENT-READY TECHNICAL DESIGN

AI–IoT–BIM–EVM Integrated Closed-Loop Project Performance Monitoring, Prediction & Optimization System

Enhancement Supplement — Novel Modules, Compliance Layer, Claims Expansion & Commercialization Roadmap

Prepared for: Vimal Noble

M.Tech — Project Engineering & Management (2024–26)

Jharkhand University of Technology (JUT) Ranchi, 

affiliated to Jharkhand University of Technology (JUT), Ranchi

August 2026


 

1. Overview  |  เค‰เคฆ्เคฆेเคถ्เคฏ

เคฏเคน เคฆเคธ्เคคाเคตेเคœ़ เคชเคนเคฒे เคธे เคคैเคฏाเคฐ AI–IoT–BIM–EVM Closed-Loop architecture เค•ो patent-strength, compliance-readiness เค”เคฐ commercialization-readiness เค•ी เคฆृเคท्เคŸि เคธे เค†เค—े เคฎเคœเคฌूเคค เค•เคฐเคคा เคนै। เคจीเคšे เคœोเคก़े เค—เค modules เค”เคฐ sections เคฎौเคœूเคฆा 5-module เคขांเคšे (A–E) เค•ो เคช्เคฐเคคिเคธ्เคฅाเคชिเคค เคจเคนीं เค•เคฐเคคे, เคฌเคฒ्เค•ि เค‰เคธे เคตिเคธ्เคคाเคฐ เคฆेเคคे เคนैं।

The base architecture (Modules A–E: Physical Data Acquisition, Spatial-Temporal Fusion, Predictive Engine, Optimization Engine, Feedback Controller) remains the technical core. This supplement adds three new technical modules, a prior-art differentiation matrix, expanded dependent claims, a regulatory/compliance layer, ESG integration, a TRL roadmap, an IP risk register, and a validation plan — the elements patent examiners and licensing partners typically look for next.

2. Three New Technical Modules  |  เคจเค เคคเค•เคจीเค•ी เคฎॉเคก्เคฏूเคฒ

Module F — Cybersecurity & Data Integrity Layer  (เคธाเค‡เคฌเคฐ เคธुเคฐเค•्เคทा เคเคตं เคกेเคŸा เค…เค–ंเคกเคคा)

Physical-to-digital IoT systems เคฌเคจเคคे เคนी เคเค• เคจเคฏा attack surface เค–ोเคฒเคคे เคนैं (sensor spoofing, GPS jamming, data tampering)। เคฌिเคจा security layer เค•े, เค•ोเคˆ เคญी investor เคฏा standards body เค‡เคธे field-deployable เคจเคนीं เคฎाเคจेเค—ा — เค‡เคธเคฒिเค เคฏเคน module patent เค”เคฐ commercialization เคฆोเคจों เค•े เคฒिเค เค…เคจिเคตाเคฐ्เคฏ เคนै।

      End-to-end encryption (TLS 1.3 / DTLS) between sensor → edge gateway → cloud

      Blockchain-anchored audit trail for EVM baseline changes and corrective-action approvals (immutable ledger, not just “optional”)

      Sensor authentication via device-certificate + RFID cross-check to prevent spoofed physical-progress data

      Anomaly-based intrusion detection on the edge gateway (lightweight ML model, separate from the prediction engine)

      Data integrity hashing (SHA-256) at each fusion checkpoint so tampering between Module A and Module B is detectable and becomes a defensible technical claim

Module G — Explainable AI & Human-in-the-Loop Governance  (เคต्เคฏाเค–्เคฏेเคฏ AI เคเคตं เคฎाเคจเคต-เคชเคฐ्เคฏเคตेเค•्เคทिเคค เคจिเคฐ्เคฃเคฏ)

เคชूเคฐ्เคฃ เคฐूเคช เคธे autonomous corrective action risky เค”เคฐ non-adoptable เคนै — construction/EPC managers legally accountable เคนोเคคे เคนैं। Explainability เค‡เคธे “black-box AI” เค•े patent-เคฐिเคœेเค•्เคถเคจ เคœोเค–िเคฎ เคธे เคญी เคฌเคšाเคคा เคนै।

      SHAP/LIME-based explanation layer attached to every CPI_pred / SPI_pred deviation alert, showing which sensor/equipment feature drove the prediction

      Tiered autonomy: Advisory mode (recommend only) → Supervised mode (manager approves) → Autonomous mode (pre-approved low-risk actions only)

      Decision audit log linking each corrective action to the explanation, approver ID, and outcome — this closes the loop with accountability, which is a distinct technical + commercial differentiator

Module H — Digital Twin Synchronization & Standards Compliance  (เคกिเคœिเคŸเคฒ เคŸ्เคตिเคจ เคคुเคฒ्เคฏเค•ाเคฒเคจ เคเคตं เคฎाเคจเค• เค…เคจुเคชाเคฒเคจ)

เคฏเคน module architecture เค•ो actual industry standards เคธे เคœोเคก़เคคा เคนै, เคœिเคธเคธे pilot projects เค”เคฐ licensing เคฌाเคคเคšीเคค เคคेเคœ़ เคนोเคคी เคนै।

      IFC (ISO 19650) compliant BIM component tagging so Module B's ID-mapping is interoperable with any standard BIM authoring tool (Revit, ArchiCAD, Tekla)

      OGC SensorThings API for sensor data interoperability instead of a proprietary format

      MQTT/CoAP for lightweight edge-to-cloud messaging under constrained bandwidth (rural Jharkhand sites, weak connectivity)

      Offline-first edge buffering: system continues local prediction and stores queued updates when connectivity drops — addresses a real field condition our earlier design didn't cover


 

3. Prior-Art Differentiation Matrix  |  เคชूเคฐ्เคต-เค•เคฒा เคตिเคญेเคฆीเค•เคฐเคฃ

Patent examiners reject combination-inventions fastest when they can't see a specific technical delta from existing art. This table should be refined after an actual Espacenet/Google Patents search, but frames the argument structure clearly.

Existing Art Category

Typical Coverage

Gap Our System Closes

AI+IoT construction monitoring (e.g. US20250265520A1-type)

Sensor data → dashboard alerts

No predictive-EVM transformation; no BIM Work-Package binding of raw sensor data

BIM + IoT integration patents (various CN filings)

Static or near-real-time BIM sync from sensors

No closed-loop multi-objective optimization tied to cost/schedule/risk simultaneously

Standalone EVM software

Historical, manually-entered progress

No physical-sensor-derived EV; purely retrospective, not predictive

Construction digital twins

Visualization + progress tracking

No automated corrective-action generation or explainability/audit layer

Generic PM AI-prediction tools

Cost/schedule risk scoring only

No hardware binding — stays an abstract algorithm, weak for patent eligibility

เคฎुเค–्เคฏ เคคเคฐ्เค• (core argument): เคจเคฏाเคชเคจ เค•िเคธी เคเค• เคคเค•เคจीเค• เคฎें เคจเคนीं, เคฌเคฒ्เค•ि Sensor→BIM→EVM→Optimization เค•े specific data-fusion mechanism เค”เคฐ เค‰เคธเค•े closed-loop, auditable, explainable เค•ाเคฐ्เคฏाเคจ्เคตเคฏเคจ เคฎें เคนै।

4. Expanded Draft Claims  |  เคตिเคธ्เคคाเคฐिเคค เคฆाเคตे (Claims)

Independent Claim 1 เคชเคนเคฒे เคนी draft เค•िเคฏा เคœा เคšुเค•ा เคนै। เคจीเคšे เค‰เคธเคธे เคœुเคก़े dependent claims เคนैं เคœो examiner เค•ो novelty เค•ी เค—เคนเคฐाเคˆ เคฆिเค–ाเคคे เคนैं (attorney เคธे final เคญाเคทा เคคเคฏ เค•เคฐเคตाเคँ):

1.     The system of Claim 1, wherein the data-fusion algorithm cryptographically hashes sensor data at each fusion checkpoint to produce a verifiable, tamper-evident chain of custody for physical progress data.

2.     The system of Claim 1, further comprising an explainability module that generates a feature-attribution report for each predicted CPI/SPI deviation, identifying the sensor or equipment source contributing most to the deviation.

3.     The system of Claim 1, wherein corrective actions are classified into advisory, supervised, and autonomous tiers based on a pre-configured risk threshold, and autonomous execution is restricted to actions below said threshold.

4.     The system of Claim 1, wherein the edge-computing gateway operates in an offline-buffered mode during network disconnection, queuing fused data and continuing local predictive inference using a cached model.

5.     The system of Claim 1, wherein the BIM component ID mapping conforms to the IFC/ISO 19650 schema, enabling interoperability across multiple BIM authoring platforms.

6.     The system of Claim 1, wherein the multi-objective optimization engine outputs a ranked set of at least two corrective-action alternatives with associated cost, schedule, and risk trade-off scores prior to action selection.

7.     The system of Claim 1, further comprising a blockchain-anchored ledger recording each EVM baseline change, corrective action, and human approval event as an immutable audit record.

8.     The system of Claim 1, wherein sensor authenticity is verified via a device-certificate check cross-referenced against an RFID/GPS location constraint prior to acceptance into the fusion pipeline.


 

5. Regulatory & Compliance Layer  |  เคตिเคจिเคฏाเคฎเค• เค…เคจुเคชाเคฒเคจ

เคญाเคฐเคค เคฎें field-deployable IoT/AI systems เค•े เคฒिเค เคฏเคน compliance mapping investor/licensing due-diligence เคฎें เคœเคฒ्เคฆी เคชूเค›ी เคœाเคคी เคนै।

Standard / Law

Relevance

DPDP Act 2023 (India)

Governs any personal/labour data captured via site cameras or mobile field apps — consent + data-minimization design needed

ISO/IEC 27001

Information security management baseline for the cloud/edge data layer

ISO 19650 (BIM)

Standard for managing information over the lifecycle of a built asset using BIM

IEEE 2413

Architectural framework for IoT interoperability

Indian Patents Act 1970, S.3(k)

Excludes “algorithm/software per se” — hardware-bound, technical-effect framing (as used throughout this design) is essential to eligibility

6. Sustainability & ESG KPI Integration  |  เคธเคคเคค เคตिเค•ाเคธ เคเคตं ESG เคธूเคšเค•

เคšूंเค•ि เค†เคชเค•ा broader research profile Jharkhand rural development เค”เคฐ policy เคธे เคญी เคœुเคก़ा เคนै, ESG metrics เคœोเคก़เคจे เคธे เคฏเคน system government/EPC tenders เคฎें เค…เคคिเคฐिเค•्เคค เคตเคฐीเคฏเคคा (preference) เคชा เคธเค•เคคा เคนै।

      Embodied-carbon tracking per work package (linking material/equipment sensor data to emissions factors)

      Equipment idle-time reduction as a fuel/energy-saving KPI, auto-computed from Module A sensor streams

      Worker safety index derived from CCTV/computer-vision near-miss detection, feeding into the Project Success Index (PSI)

      Waste/material-overrun tracking via load-cell and RFID variance, supporting circular-construction reporting


 

7. Technology Readiness Level (TRL) Roadmap  |  เคช्เคฐौเคฆ्เคฏोเค—िเค•ी เคคเคค्เคชเคฐเคคा เคฐोเคกเคฎैเคช

TRL

Milestone

Approx. Timeline

TRL 1–2

Concept + architecture finalized (this document)

Completed

TRL 3

Simulated PoC — synthetic sensor data + AI model + dashboard (thesis-stage)

3–4 months

TRL 4

Lab-scale demonstrator — ESP32/Arduino sensors + BIM viewer + EVM engine integrated

4–6 months

TRL 5

Field validation in relevant environment — one instrumented work package on a live/pilot site

6–10 months

TRL 6

Prototype demonstrated in operational environment — full closed loop on a small project

10–16 months

TRL 7–8

System qualified, industry pilot with EPC/government partner

16–30 months

TRL 9

Commercial deployment / licensing

30+ months

8. IP & Commercialization Risk Register  |  เคฌौเคฆ्เคงिเค• เคธंเคชเคฆा เคœोเค–िเคฎ เคฐเคœिเคธ्เคŸเคฐ

Risk

Likelihood

Mitigation

Prior art overlap in AI+IoT construction space

High

Narrow claims to the specific fusion/audit/explainability mechanism, not the general concept

S.3(k) software-per-se rejection (India)

Medium

Keep claims hardware-bound; emphasize sensor–gateway–actuator technical effect

High prototype cost delaying filing

Medium

File provisional early with simulated PoC; complete specification within 12 months as prototype matures

Data privacy non-compliance (site cameras, worker data)

Medium

Build DPDP-compliant consent/anonymization into Module F from the start, not retrofitted

Licensing partner reluctance without field data

High

Target one instrumented pilot work package before approaching EPC licensing partners


 

9. Experimental Validation Plan  |  เคช्เคฐเคฏोเค—ाเคค्เคฎเค• เคธเคค्เคฏाเคชเคจ เคฏोเคœเคจा

เคฅीเคธिเคธ เค•े เคฒिเค defensible empirical section เคฌเคจाเคจे เคนेเคคु เคจ्เคฏूเคจเคคเคฎ KPI targets:

Metric

Target

Method

Schedule-delay prediction accuracy

≥85%

Compare AI-predicted SPI_pred vs actual SPI over pilot duration

Cost-overrun prediction accuracy

≥80%

Compare CPI_pred vs actual CPI

End-to-end latency (sensor → dashboard alert)

<5 seconds (edge), <60 seconds (cloud fallback)

Timestamp logging across Modules A–D

False-positive rate on deviation alerts

<15%

Manager-reviewed alert log over pilot period

Data-integrity verification success

100% of fusion checkpoints hashed & verifiable

Automated integrity-check script on stored ledger

10. เค…เค—เคฒे เค•เคฆเคฎ  |  Next Steps

9.     Espacenet + Google Patents + Indian Patent Office เคชเคฐ เคธंเคถोเคงिเคค keyword search: ("predictive EVM" OR "earned value") AND "IoT" AND "BIM" AND ("explainable" OR "blockchain")

10.  JUT Ranchi / BIT Sindri เค•े IP Cell เคธे เคช्เคฐाเคฐंเคญिเค• patentability opinion เคฒें

11.  Module F–H เค•ो thesis Chapter 3 (Methodology) เคฎें เคคเค•เคจीเค•ी architecture เค•े เคนिเคธ्เคธे เค•े เคฐूเคช เคฎें เคœोเคก़ें

12.  Simulated PoC (Python + synthetic sensor data + open BIM viewer) เคชเคฐ เค•ाเคฎ เคถुเคฐू เค•เคฐें — TRL 3 เคฒเค•्เคท्เคฏ

13.  Provisional patent application draft เคคैเคฏाเคฐ เค•เคฐें, hardware-bound claims เคชเคฐ เค•ेंเคฆ्เคฐिเคค เคฐเค–เคคे เคนुเค

 

เคจोเคŸ: เคฏเคน เคเค• technical planning document เคนै, เค•ाเคจूเคจी เคธเคฒाเคน เคจเคนीं। Patent filing เคธे เคชเคนเคฒे registered patent attorney เคธे patentability opinion เค…เคตเคถ्เคฏ เคฒें।

Meditation Community —JUT Ranchi

๐Ÿง˜ Meditation Community — Registration Form Form Description ๐Ÿ™ Welcome to our Meditation Community. The purpose of this community is t...