Polygon & Filecoin for Auditable National Infrastructure Telemetry (Sentinel Grid MVP)

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Hey everyone, I’m Alex from Monza Tech (Miami). We’re launching the MVP for Sentinel Grid, a platform focused on solving the trust and integrity problem in national critical infrastructure monitoring (power grids, telecom, transportation).

We are exploring a high-stakes, real-world application for Web3 technology: creating a distributed, cryptographically verifiable telemetry layer for these systems. Our goal is transparent resilience and immutable auditability, ensuring no single operator or entity can tamper with logs, hide failures, or fudge data.

Core Proposed Architecture

We are building a Tamper-Evident Telemetry Layer by pairing the Polygon computation layer with the Filecoin/IPFS storage layer.

  1. Ingestion & Batching: Real-time telemetry (high-frequency) is batched off-chain and secured using a Merkle Tree.

  2. Storage: The full, batched log data is permanently archived on Filecoin/IPFS.

  3. Commitment: The resulting Filecoin CID and the Merkle Root are committed to the Polygon chain.

  4. Audit: An immutable, timestamped record now exists on-chain, proving the integrity and existence of the log data at that time. Auditors can verify the inclusion of any single log entry using a Merkle Proof and the on-chain root.

Key Technical Questions for the Polygon Community

We are looking for expert insights on scaling this architecture to national-level telemetry volumes. Specifically:

1. The Right Polygon Stack for High-Volume Commitments

Given the need for high transaction throughput, low commitment latency, and the desire for strong security guarantees:

  • Which Polygon solution provides the best fit for committing Merkle Roots and CIDs? Is Polygon zkEVM the optimal choice for the MVP, or should we immediately explore launching a dedicated Application-Specific Chain (AppChain) using the Polygon CDK?

  • Throughput Target: We anticipate needing to commit Merkle Roots at a cadence of $\approx 1$ commit per minute/per region, potentially escalating to thousands of commitments per day globally. Can the zkEVM handle this volume and the associated proof generation cost/latency?

2. ZK-Proofs for Privacy and Auditability

For highly sensitive data, we want to prove compliance without revealing the raw telemetry.

  • Has anyone integrated ZK-Proof generation (e.g., proving “all asset temperature readings were below $X$ degrees”) with data committed via Merkle Roots on a Polygon chain?

  • What are the realistic computational costs and latency penalties for generating these ZK-Proofs off-chain for infrastructure-scale data sets?

3. Filecoin/IPFS Integration at Scale

  • Are there any known best practices or pitfalls for integrating the Polygon stack with large-scale Filecoin storage providers, especially concerning proof continuity and ensuring the CIDs remain perpetually resolvable for auditors?

We are passionate about using Polygon to bring unprecedented reliability and transparency to critical infrastructure. Happy to share a short technical one-pager if that helps frame the discussion.

Cheers!

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