Systems and methods for digital measurement, reporting, and verification (dMRV) linked to credit securitization

A system, comprising:

• a data platform implemented on one or more computing devices comprising at least one processor and at least one non-transitory data storage medium storing instructions executable by the at least one processor, the data platform configured to enable and connect digital measurement, reporting, and verification (dMRV) and emissions credit securitization to produce high-integrity environmental emissions mitigation credits;
• wherein the data platform having a connect module comprising:
• a data hub, the data hub is configured to monitor at least one physical asset for emissions mitigation verification by messaging a client for ingestion of sensor, telemetry, and third-party data via encrypted data communication using certificate and private/public key exchange and edge computing for aggregation prior to ingestion, thereby enabling continuous condition-based monitoring of the at least one physical asset;
• digital twins, the digital twins are configured to simulate at least one emissions mitigation project prior to an implementation of the at least one emissions mitigation project;
• a raw data store, the raw data store is configured to store raw data from at least one source in a native format enabling auditability of derived data usage;
• and
• wherein the data platform having a certification module comprising:
• a cognitive data warehouse configured to convert the raw data into a logical schema having at least a portion of operating performance data;
• a risk engine configured to detect at least one anomaly using supervised and unsupervised machine learning applied to the raw data;
• a rating engine, the rating engine configured to determine a confidence level of the operating performance data and producing a surety rating;
• an immutable datastore, the immutable datastore is configured to append a ledger table with georedundancy and automated digest management using private, public, or hybrid distributed ledger technology;
• and
• a verification analytics engine, the verification analytics engine is configured to determine one or more emissions mitigation results from an emissions mitigation activity using artificial intelligence, machine learning, and at least one of chemistry-based, physics-based, or biology-based formulae to provide multi-layered verification analytics;
• wherein the data platform further comprises:
• a markup language configured to enable interoperable representation and dynamic exchange of emissions mitigation data with digital asset creation and financial market systems;
• verified emissions credits minted into digital emissions credits, each verified emissions credit comprising:
• a digital non-fungible token representing ownership rights to specific units of verified emissions removed, the digital non-fungible token being immutably recorded in the immutable datastore and dynamically linked to supporting project data records including the surety rating and verification analytics;
• wherein the data platform having an exchange module comprising:
• an exchange connectivity element configured to enable sale, purchase, transfer, retirement, and secondary changes in ownership of the verified emissions credits;
• and
• a digital asset minting element, the digital asset minting element is configured to produce the digital non-fungible token using one or more smart contracts enabling automatic execution of transfer of the verified emissions credits, transfer of payment, and proof of ownership;
• wherein the data platform provides a unified and transparent chain of emissions mitigation impact data linking sensor-based measurement, verification analytics, digital credit issuance, registry interchange, and market exchange functionality.