Spatial-Infrastructure Embodiments

by Nick Clark | Published April 25, 2026 | PDF

The AQ stack instantiates concretely across infrastructure tiers — the electric utility grid, the water and wastewater network, and the transport network — with each tier mapped to a defined set of architectural primitives and a defined set of integration anchors against the legacy operational stack. The mapping is structural, not analogical: the same primitives appear in each embodiment with parameters tuned to the tier, and each tier presents a small, declared surface of integration points where the architecture meets pre-existing SCADA, DMS, OMS, EMS, and traffic-management installations. This article specifies the mechanism by which the stack maps into infrastructure tiers, the operating parameters that govern each mapping, alternative embodiments across utility, water, and transport contexts, the architectural composition with legacy systems, the prior art it departs from, and the disclosure scope claimed.


Mechanism

Each infrastructure tier is mapped to the same three-layer device taxonomy that the AQ stack defines for any spatial deployment. Tier-1 devices are passive credentialed markers — physical or virtual fiducials that broadcast a signed identity, a location, and a small set of static attributes. Tier-2 devices are active sentinels — apparatus that broadcasts current operational state, accepts coordination signals, and acts within a bounded local authority. Tier-3 devices are cognitive infrastructure agents — coordination agents that hold authority over a region or function, run the full forecasting and intent stack, and federate with peer agents through the governed mesh.

The mapping into a given tier proceeds by identifying which existing physical or operational elements of the infrastructure correspond to which device layer, declaring the credentialing root for each element, and declaring the integration anchor against the legacy stack. In an electric-grid embodiment, Tier-1 maps to credentialed asset tags on substation equipment, line sensors, and metering infrastructure; Tier-2 maps to active devices such as reclosers, capacitor banks, and inverter controllers that broadcast state; Tier-3 maps to feeder-coordination agents, substation-coordination agents, and balancing-area agents. In a water-network embodiment, Tier-1 maps to credentialed pressure-zone fiducials and asset tags; Tier-2 maps to pump-station controllers, valve actuators, and quality sensors that broadcast state; Tier-3 maps to district-metered-area agents and treatment-plant coordination agents. In a transport embodiment, Tier-1 maps to roadway studs, lane-edge fiducials, and jurisdictional-boundary markers; Tier-2 maps to traffic signals, gantries, and intelligent-intersection apparatus; Tier-3 maps to corridor-coordination agents and modal-handoff agents at port gates, rail interchanges, and airspace boundaries.

The integration anchor is the structural surface where the architecture meets the legacy operational stack. In electric grids, the anchor is the bidirectional binding between Tier-3 agents and the existing DMS and EMS, where credentialed forecasts and intent envelopes are translated into operator-facing recommendations and where operator confirmations re-enter the architecture as credentialed events. In water networks, the anchor is the binding to the SCADA hierarchy and the hydraulic model. In transport, the anchor is the binding to traffic-management centers, port-management systems, and air-traffic-control facilities. The anchor is declarative in each case: the wire format, the credentialing root, and the latency bounds are specified in the policy reference and audited against the tier's regulatory standard.

Operating Parameters

Each tier declares a credentialing root, an authority taxonomy, a behavior taxonomy, and a latency bound for the integration anchor. The credentialing root identifies the trust anchor under which Tier-1 markers are signed, Tier-2 sentinels are commissioned, and Tier-3 agents are issued operational authority. The authority taxonomy declares which agents may exercise which authorities over which regions; in a transport embodiment, it declares that an intersection-coordination agent has commitment authority over its intersection but advisory authority over adjacent corridors. The behavior taxonomy declares the semantic vocabulary of the tier — the events, the states, the commitments — so that cross-agent observations are interpreted consistently.

The latency bound on the integration anchor declares the maximum permissible round-trip time between a Tier-3 agent's credentialed event and the legacy stack's acknowledgment, beyond which the anchor is treated as degraded and the agent enters a declared fallback regime. The fallback regime itself is declared per tier: a feeder-coordination agent on a degraded DMS anchor reverts to autonomous operation within its delegated authority; a port-coordination agent on a degraded port-management anchor reverts to a hold posture pending human-operator confirmation. Each tier declares the maximum cycle period for its forecasting loop, the maximum operator-intent envelope expansion permitted by automated escalation, and the precedence rules that resolve conflicts among Tier-3 agents whose authority regions overlap.

Alternative Embodiments

In an electric-utility embodiment, the stack instantiates across the substation-feeder-meter hierarchy. Tier-1 asset tags broadcast equipment identity, ratings, and credentialing chain; Tier-2 reclosers, regulators, and inverter controllers broadcast state and accept commitments within their delegated authority; Tier-3 feeder agents coordinate restoration after fault, balancing-area agents coordinate dispatch and frequency response, and DER-aggregation agents coordinate distributed-generation participation. The integration anchors bind to the existing DMS, OMS, EMS, and market-participation systems, with the operator-intent envelope shaped by utility procedures and regulatory orders.

In a water-and-wastewater embodiment, the stack instantiates across the source-treatment-distribution hierarchy. Tier-1 fiducials mark pressure zones, district-metered-area boundaries, and asset locations; Tier-2 pumps, valves, and quality sensors broadcast state and accept commitments; Tier-3 district-metered-area agents coordinate pressure management and leak response, treatment-plant agents coordinate process control, and basin agents coordinate raw-water and discharge operations. The integration anchors bind to SCADA, the hydraulic model, the water-quality monitoring system, and the regulatory-reporting stack.

In a transport embodiment, the stack instantiates across the roadway-intersection-corridor-modal-handoff hierarchy. Tier-1 markers populate roadway studs, lane edges, hazard zones, jurisdictional boundaries, custody perimeters, and asset locations; Tier-2 traffic signals, gantries, port-gate apparatus, and harbor-approach systems broadcast state and accept commitments; Tier-3 intersection agents, corridor agents, port-coordination agents, harbor-traffic agents, airspace-sector agents, and custody-transfer agents hold regional authority. The integration anchors bind to traffic-management centers, port-management systems, air-traffic-control facilities, and customs-and-border systems. Cross-tier embodiments are also disclosed: a transport corridor that draws power from the electric tier and water from the water tier shares Tier-3 coordination through the governed mesh, allowing a single architectural fabric to span tiers.

Composition

The infrastructure embodiments compose with the broader AQ stack at every layer. The Tier-1 credentialing roots compose with the credentialing infrastructure that admits operator-intent declarations and protective-order issuances, so that a single root-of-trust framework governs assets, operators, and authorities. The Tier-2 sentinels compose with the forecasting engine: each sentinel's broadcast state is an observation in the Tier-3 agent's forecast-act-observe cycle, and the sentinel's accepted commitments are actions whose expiry is enforced at the actuator boundary. The Tier-3 agents compose with the operator-intent layer: utility-operator preferences, public-safety orders, and regulatory directives shape the envelope within which the Tier-3 agent commits, and protective orders contract the envelope as credentialed constraints.

The integration anchors compose with the lineage system: every event passing through an anchor — credentialed forecast, operator confirmation, regulatory acknowledgment, fallback entry, fallback exit — is recorded as a credentialed observation admissible to downstream audit and regulatory review. The cross-tier mesh composes with the multi-agent coordination layer: a Tier-3 agent in one tier publishes its current cycle period, its current envelope, and its current commitment posture to peer agents in other tiers, allowing cross-tier coordination — for example, between a balancing-area agent in the electric tier and a treatment-plant agent in the water tier whose pumping schedule materially affects load — without bilateral integration.

Prior Art

Existing smart-infrastructure deployments are per-tier engineering exercises. Smart-grid investments produce DMS, OMS, EMS, and DER-management systems, each integrated through bilateral connectors to peer systems within the tier and rarely beyond it. Smart-water investments produce SCADA hierarchies and hydraulic-model integrations confined to the water tier. Intelligent-transportation deployments produce traffic-management, port-management, and airspace-coordination systems, again confined to their respective tiers and integrated bilaterally where cross-tier needs arise. Cumulative engineering effort across tiers is large; cross-tier learning is limited; cross-tier operations rely on ad-hoc bilateral integration that does not scale across jurisdictions.

Cross-tier orchestration platforms have been proposed in the smart-cities literature, but they typically position themselves as a higher-layer integration bus and do not contribute structural primitives that could replace per-tier engineering at the device, sentinel, or coordination layer. Industrial-IoT platforms provide device-management and telemetry primitives but do not provide the credentialed-authority, operator-intent, or forecasting primitives that infrastructure tiers require. The mechanism described here departs from each of these by mapping a single set of architectural primitives — Tier-1 markers, Tier-2 sentinels, Tier-3 agents, integration anchors, governed mesh — across utility, water, and transport tiers, parameterized through configuration rather than re-engineered per tier.

The departure is most visible at the integration anchor. Conventional cross-tier platforms attempt to bridge tiers by translating between bilateral protocols and accumulating connectors per legacy stack, with the bridge layer itself becoming a source of latency, fragility, and ungoverned authority. The disclosed mechanism does not add a connector layer; it replaces the connector pattern with a declarative anchor under a credentialing root, where the legacy stack's events enter the architecture as credentialed observations and the architecture's commitments enter the legacy stack as credentialed recommendations subject to operator confirmation. The bridge becomes a governed surface rather than an ungoverned bus. The departure is also visible at the device-taxonomy layer: prior smart-infrastructure proposals typically identify a single class of intelligent device per tier, while this disclosure separates passive marker, active sentinel, and cognitive agent into distinct, composable layers, each with declared credentialing and authority semantics, each parameterizable per tier without redesigning the layer itself.

Disclosure Scope

The patent claims the spatial-infrastructure embodiments as a structural disclosure: the mapping of the AQ stack's three-tier device taxonomy and integration-anchor primitive across the electric utility tier, the water and wastewater tier, and the transport tier, with each tier's mapping declared through credentialing roots, authority taxonomies, behavior taxonomies, latency bounds, and fallback regimes that are themselves declarative and audited. The claim covers the mapping mechanism independent of the specific legacy stack at the integration anchor and the specific physical assets at Tier-1 and Tier-2, provided that the credentialing is rooted, the anchor is declarative, and cross-tier coordination operates through the governed mesh rather than through bilateral integration.

The disclosure scope extends to alternative embodiments within each tier — substation-feeder-meter hierarchies in the electric tier, source-treatment-distribution hierarchies in the water tier, roadway-intersection-corridor-modal-handoff hierarchies in the transport tier — and to cross-tier embodiments where a single architectural fabric spans tiers through the mesh. The scope does not depend on a particular legacy DMS, SCADA, or traffic-management system at the anchor, nor on a particular Tier-1 fiducial technology, but it does depend on the structural properties that distinguish this disclosure from per-tier smart-infrastructure prior art: a single device taxonomy parameterized across tiers, declarative integration anchors with bounded latency and declared fallback, credentialed lineage across every event, and cross-tier coordination through a governed mesh.

Nick Clark Invented by Nick Clark Founding Investors:
Anonymous, Devin Wilkie
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