What exactly is Web3.0 & IoT integrations?

The problem worth solving

Industrial telemetry has a trust problem that is organisational rather than technical. When a sensor reading determines a payment, a compliance report, or a warranty claim, the party holding the database also holds the ability to alter history. Usually that is fine. Occasionally it is the entire dispute.

This is the narrow case where an append-only, independently verifiable ledger earns its complexity: multiple organisations that need to agree on a shared record, none of whom is the natural owner of the database.

What to put on-chain, and what not to

Writing raw sensor data to a distributed ledger is slow, expensive, and usually pointless. A device producing readings every second will overwhelm any general-purpose chain and produce a record nobody can query efficiently.

The workable pattern is to keep the telemetry itself in a conventional time-series store and anchor periodic cryptographic digests of that data on-chain. You get tamper-evidence for the full dataset at a tiny fraction of the cost, and normal query performance for everyday use.

• On-chain: batch hashes, device registration and identity, state transitions that trigger obligations
• Off-chain: raw readings, high-frequency telemetry, anything containing personal data

Device identity is the hard part

A ledger can prove that a record has not been altered since it was written. It cannot prove that the reading was accurate when the device produced it. If a device can be spoofed or its firmware tampered with, the ledger faithfully preserves bad data.

That places the real engineering burden on hardware-rooted identity: keys held in a secure element, attested firmware, and a revocation path for compromised devices. Without that foundation, the ledger is decoration.

When a database is the right answer

If one organisation owns the data, controls the devices, and no external party needs to independently verify history, a well-run database with proper audit logging solves the problem at a fraction of the operational cost.

We recommend the distributed approach when the trust boundary crosses organisations, and the conventional approach otherwise. The technology choice should follow the trust model, not the other way round.