Derivative works — US Patent 7939967

Defensive Disclosure: Derivative Works of US Patent 7939967

This document describes derivative variations of the inventions disclosed in US Patent 7939967, "Multiple power supply control," intended to establish prior art and render obvious future incremental improvements. The current date is April 26, 2026.

Combination Prior Art Scenarios with Open-Source Standards

The concepts presented in US Patent 7939967, which describe mechanisms for redundant power supply control with graceful failover, can be readily combined with existing open-source communication and control standards to extend their applicability and robustness.

Integration with Open Charge Point Protocol (OCPP) for Electric Vehicle (EV) Charging Infrastructure:
- Scenario: An EV charging station typically has multiple power modules to deliver high current. Applying the principles of US7939967, an anomalous condition in one AC-DC conversion module or its input grid connection (e.g., phase loss, undervoltage) would trigger an alert. Other operational or standby modules, communicating via a local network managed by an OCPP-compliant central system, would transition to higher output levels to maintain the charging session without interruption, improving reliability for EV users. The OCPP standard handles communication between charging stations and a central management system, which could be extended to include power supply health and alert signals.
- Enabling Description: Each individual power conversion module within an EV charging station implements a microcontroller with voltage and current sensing on its input AC and output DC lines. Upon detecting an input anomaly (e.g., AC line voltage drop below 90% nominal for >100ms), a module asserts a FAULT_INPUT signal via an internal CAN bus or Ethernet connection to a central charge point controller. The controller, running an OCPP 2.0.1 compliant state machine, interprets this FAULT_INPUT as a request for another module to increase output (an Activation_Request). A standby module, pre-configured for a low-power Standby state (e.g., maintaining only control circuitry active), receives the Activation_Request and initiates a ramp-up of its DC-DC converter output current to its nominal operating level within 50ms, leveraging internal output capacitors to smooth the transition for the load (the EV).
- Mermaid Diagram:
```
graph TD
    A[Grid Input 1] -- Powers --> B(Power Module 1)
    C[Grid Input 2] -- Powers --> D(Power Module 2)
    B -- Input Anomaly Detected --> E{Charge Point Controller (OCPP)}
    E -- Activation Request --> D
    D -- Transitions to Normal Output --> F[EV Load]
    B -- Provides Power During Transition --> F
    D -- Provides Full Power --> F
```
Distributed Control using Modbus/TCP for Industrial Automation:
- Scenario: In an industrial control system, critical PLCs or distributed I/O modules require highly reliable power. Multiple power supply units (PSUs) are connected to independent feeds. If a PSU detects an issue with its input power source (e.g., transient overvoltage, brownout), it sends an alert. A Modbus/TCP master (e.g., a central industrial PC or redundant PLC) receives this alert from the affected PSU (acting as a Modbus/TCP slave) and then issues a command to a standby PSU (also a Modbus/TCP slave) to transition to full output. This leverages the widely adopted Modbus/TCP protocol for robust and interoperable communication in industrial environments.
- Enabling Description: Each power supply unit (PSU) is equipped with an embedded Ethernet interface supporting Modbus/TCP Slave functionality. Input voltage monitors (e.g., a voltage divider network connected to an ADC) continuously sample the PSU's input AC or DC source. If the input voltage deviates by more than ±15% for a duration exceeding 200ms, the PSU's firmware sets a specific Modbus register (e.g., Holding Register 0x0001 for Alert_Status) to a non-zero value indicating an anomaly. A central Modbus/TCP Master periodically polls these Alert_Status registers. Upon detecting an alert from PSU_A, the Master writes a command (e.g., value 0x01 to Holding Register 0x0002 for Activation_Command) to PSU_B, which is in a Standby state. PSU_B's firmware, upon receiving Activation_Command=0x01, activates its main power conversion stage, increasing its output voltage from a trickle charge (e.g., 5V) to full operating voltage (e.g., 24V DC) within 75ms.
- Mermaid Diagram:
```
sequenceDiagram
    participant PSU_A as Power Supply A
    participant PSU_B as Power Supply B
    participant Master as Modbus/TCP Master
    participant Load as Electrical Load

    PSU_A->>PSU_A: Detect Input Anomaly
    PSU_A->>Master: Modbus Write (Alert_Status = Anomalous)
    Master->>Master: Process Alert
    Master->>PSU_B: Modbus Write (Activation_Command = Activate)
    PSU_B->>PSU_B: Transition Standby to Normal
    PSU_A->>Load: Provide Power (During Transition)
    PSU_B->>Load: Provide Full Power
```
Wireless Power Management using Zigbee/Z-Wave for Smart Home/Building Systems:
- Scenario: In smart home or commercial building automation, critical devices (e.g., security cameras, smart locks, central hubs) need continuous power. Multiple, locally distributed power supplies (e.g., wall warts with battery backup, dedicated DC supplies) could form a redundant network. If one power supply detects a failure in its primary AC input, it broadcasts an alert via a Zigbee or Z-Wave mesh network. A designated coordinating device (e.g., smart home hub or a redundant power controller node) receives this alert and commands an available standby power supply (e.g., a battery-backed unit) to activate its full output to support the critical load. This utilizes low-power wireless standards for flexibility and scalability in distributed environments.
- Enabling Description: Each power supply (PS) node in the smart building system incorporates a Zigbee or Z-Wave transceiver and a microcontroller. The microcontroller continuously monitors the primary input (e.g., 120V AC presence via an optocoupler circuit). Upon detecting primary power loss for more than 500ms, PS_A forms a Zigbee Alert message (Cluster ID 0x0000, Attribute 0x0001 set to PRIMARY_FAIL) and broadcasts it to its bound devices or a central coordinator. A standby PS_B, receiving this Alert message, checks its own status. If PS_B is in Standby (e.g., outputting only a trickle 3.3V for internal control), it then transmits a Power_Activation_Request (Cluster ID 0x0000, Attribute 0x0002 set to ACTIVATE) and subsequently initiates the ramp-up of its main DC-DC converter to full output (e.g., 12V DC) within 200ms, sourcing from its internal battery. PS_A, if equipped with a small internal capacitor bank, will sustain the load during this 200ms transition.
- Mermaid Diagram:
```
stateDiagram-v2
    state "Primary PS_A" as PS_A
    state "Standby PS_B" as PS_B
    state "Coordinator" as Coord
    state "Electrical Load" as Load

    [*] --> PS_A : Normal Operation
    [*] --> PS_B : Standby
    [*] --> Coord : Idle

    PS_A --> PS_A_Alert : Input Anomaly Detected
    PS_A_Alert --> Coord : Zigbee/Z-Wave Alert Signal
    Coord --> PS_B_Activate : Send Activation Signal
    PS_B_Activate --> PS_B : Transitioning to Normal
    PS_A --> Load : Provide power during transition
    PS_B --> Load : Provide full power

    PS_A_Alert : Output Power from Storage
    PS_B_Activate : Ramp up Output
```

Derivative Variations for Core Claims of US Patent 7939967

The following derivatives aim to expand the scope of the patent's claims, specifically Claim 1 (Apparatus), Claim 9 (System), and Claim 14 (Method), by exploring various technical axes.

Derivatives for Independent Claim 1 (Apparatus)

Original Claim 1: An apparatus, comprising: a first power supply coupled to an electrical load and a first source of electrical energy, the first power supply configured to issue an alert signal indicative of a failure condition of the first source of electrical energy; and a second power supply coupled to the electrical load and a second source of electrical energy, the second power supply configured to transition from a lesser output level to a greater output level in response to an activation signal.

1. Material & Component Substitution: Gallium Nitride (GaN) and Silicon Carbide (SiC) based Power Supplies with Advanced Sensing

Enabling Description: The first and second power supplies are implemented using high-frequency, high-efficiency power conversion topologies (e.g., resonant LLC converters, phase-shifted full bridges) employing Gallium Nitride (GaN) high-electron-mobility transistors (HEMTs) or Silicon Carbide (SiC) MOSFETs as primary switching elements. The internal energy storage for the first power supply comprises solid-state supercapacitors (e.g., graphene-based ultracapacitors) for rapid discharge and recharge capabilities, providing operating power for up to 100ms. Anomaly detection in the first source utilizes integrated current-sensing Hall effect sensors with a bandwidth of 1MHz for detecting rapid transient changes, and a dedicated digital signal processor (DSP) core for real-time Fourier analysis of the input waveform to detect harmonic distortions indicative of an impending failure, issuing an alert signal via a high-speed serial peripheral interface (SPI) bus to the second power supply.

Mermaid Diagram:

graph TD
    A[First Source] --> B(GaN/SiC PS1)
    B -- Hall Effect/DSP Sensing --> C{Anomaly Detection Logic}
    C -- SPI Alert Signal --> D(GaN/SiC PS2)
    D -- Receives Activation --> E[Load]
    B -- Supplies Load (Supercapacitor) --> E
    D -- Transitions to Full Power --> E
    F[Second Source] --> D

2. Operational Parameter Expansion: Nanoscale Integrated Power Management for On-Chip Redundancy

Enabling Description: This apparatus integrates multiple redundant power delivery units (PDUs) directly onto a system-on-chip (SoC) for critical functionalities (e.g., CPU cores, memory controllers). Each PDU, acting as a "power supply," is fed by distinct on-chip voltage regulators (VRs) sourcing from separate power domains or even micro-scale energy harvesting elements (e.g., thermoelectric generators, vibrational energy harvesters) acting as "sources." A first PDU, monitoring its local VR's output or source integrity (e.g., via on-chip voltage droop detectors with picosecond resolution), issues a localized alert signal (e.g., a dedicated digital logic flag) to a neighboring standby PDU. The standby PDU, pre-biased at a minimal quiescent current state, transitions its output current drive capability from a minimal leakage level to a full operating current within nanoseconds to maintain power to a specific critical logic block (the "electrical load").

Mermaid Diagram:

graph TD
    A[Micro Source 1] --> B(PDU 1 - On-chip)
    B -- Voltage Droop Detector --> C{Anomaly Logic (on-chip)}
    C -- Digital Alert Flag --> D(PDU 2 - On-chip)
    D -- Receives Activation --> E[Critical Logic Block (Load)]
    B -- Supplies Load (Capacitive Buffer) --> E
    D -- Transitions to Full Current --> E
    F[Micro Source 2] --> D

3. Cross-Domain Application: Redundant Power for Deep-Sea Autonomous Underwater Vehicles (AUVs)

Enabling Description: In a deep-sea AUV, power supplies are designed for extreme pressures and temperatures. The first power supply, an encapsulated lithium-ion battery pack with a DC-DC converter, is coupled to the AUV's propulsion system (electrical load) and acts as the primary power source. It issues an alert signal upon detecting a cell imbalance, over-discharge, or an internal short circuit (failure condition of the "source" battery pack), monitored by an integrated Battery Management System (BMS). A second, independently encapsulated, solid-state battery (e.g., Li-Sulfur) power supply, coupled to a separate set of DC-DC converters, receives an activation signal from the AUV's central control unit (which processes the alert). The second power supply transitions from a minimal idle power state (e.g., maintaining only its BMS) to its full operational output, providing continuous power to the propulsion system to ensure mission completion or safe return to surface.

Mermaid Diagram:

graph TD
    A[Li-Ion Battery Pack] --> B(PS1 - AUV Propulsion)
    B -- BMS Alert --> C{AUV Central Control Unit}
    C -- Activation Signal --> D(Li-Sulfur PS2 - Standby)
    D -- Transitions to Full Power --> E[AUV Propulsion Load]
    B -- Supplies Load (Internal Storage) --> E
    F[Sealed Environment] -- Protects --> B & D

4. Integration with Emerging Tech: AI-Driven Predictive Maintenance and IoT-Enabled Redundancy Control

Enabling Description: The first and second power supplies are equipped with embedded IoT modules (e.g., ESP32 with MQTT client). Each power supply streams real-time operational telemetry (input voltage, current, temperature, output ripple, harmonic distortion) to a cloud-based AI platform. The AI platform, using predictive maintenance algorithms (e.g., recurrent neural networks trained on historical failure data), anticipates a failure condition of the first source of electrical energy (e.g., based on increasing ripple, fluctuating input impedance) before it actually occurs. The AI platform then sends an Activation_Signal via MQTT to the second power supply directly or to a local IoT gateway. The second power supply, maintaining a low-power listening state, receives this signal and preemptively transitions from a lesser output level to a greater output level, initiating the transfer before the first source experiences a hard failure, thereby maximizing uptime.

Mermaid Diagram:

sequenceDiagram
    participant PS1 as First Power Supply (IoT)
    participant PS2 as Second Power Supply (IoT)
    participant CloudAI as Cloud AI Platform
    participant Load as Electrical Load

    PS1->>CloudAI: Stream Telemetry Data
    PS2->>CloudAI: Stream Telemetry Data
    CloudAI->>CloudAI: Predictive Analytics (RNN)
    CloudAI->>PS2: Send Activation_Signal (MQTT)
    PS2->>PS2: Transition to Full Power
    PS1->>Load: Provide Power (Pre-emptive)
    PS2->>Load: Provide Full Power

5. The "Inverse" or Failure Mode: Graceful Degradation to Limited-Functionality Output

Enabling Description: This apparatus includes a first power supply with a primary output rail (e.g., +12V) and a secondary, always-on "safety" rail (e.g., +3.3V, 100mA capacity). Upon detecting a severe failure condition of the first source (e.g., complete disconnection), the first power supply is configured to immediately cease providing its primary +12V output. However, it issues an alert signal while simultaneously switching its internal energy storage (e.g., a small backup supercapacitor bank) to sustain the +3.3V safety rail for a critical monitoring circuit within the electrical load. The second power supply, upon receiving the activation signal, transitions from its standby mode (e.g., 0V output) to a "limited-functionality" output level (e.g., +5V with reduced current capability) instead of full output, signaling to the load that it can perform essential functions but not full-performance operations. This allows the load to gracefully shut down non-essential components while maintaining basic operational integrity.

Mermaid Diagram:

stateDiagram-v2
    state "PS1: Normal +12V" as PS1_Normal
    state "PS1: Safety +3.3V" as PS1_Safety
    state "PS2: Standby" as PS2_Standby
    state "PS2: Limited +5V" as PS2_Limited
    state "Load: Full" as Load_Full
    state "Load: Critical" as Load_Critical

    PS1_Normal --> PS1_Safety : Severe Source Fail
    PS1_Safety --> PS2_Limited : Alert Sent & Activation Recv
    PS2_Standby --> PS2_Limited : Activation Signal
    PS1_Normal --> Load_Full
    PS1_Safety --> Load_Critical : Graceful Deg.
    PS2_Limited --> Load_Critical : Essential Function

Derivatives for Independent Claim 9 (System)

Original Claim 9: A system, comprising: an electrical load; a first power supply coupled to a first independent source of electricity and to the electrical load, the first power supply configured to provide a first alert signal indicative of an anomalous condition of the first independent source of electricity; and a second power supply coupled to a second independent source of electricity and to the electrical load, the second power supply configured to provide a second alert signal indicative of an anomalous condition of the second independent source of electricity, the first power supply further configured to transition from a lesser output level to a greater output level in response to a first activation signal, the second power supply further configured to transition from a lesser output level to a greater output level in response to a second activation signal.

1. Material & Component Substitution: Modular Hot-Swappable Rectifiers with Software-Defined Sensing

Enabling Description: The system employs a chassis with multiple hot-swappable modular rectifier units, each acting as a power supply (PS1, PS2). Each rectifier is coupled to a distinct phase of a multi-phase AC grid (independent sources). An anomalous condition (e.g., sag, swell, harmonic distortion) in a phase is detected by a software-defined power quality monitor (PMIC with integrated ADC and programmable thresholds) embedded within each rectifier. Upon detection, PS1 generates a first alert signal using a digital pulse width modulated (DPWM) signal communicated over a shared backplane. PS2, also a hot-swappable rectifier, is configured to operate in a low-power, idle state and transitions to full output by adjusting its DPWM controller in response to a first activation signal (originating from a central controller interpreting PS1's alert). Conversely, PS1 can also transition upon receiving a second activation signal if PS2's source fails. The electrical load is a server rack requiring continuous DC power.

Mermaid Diagram:

classDiagram
    class ModularRectifier {
        +PowerQualityMonitor PMIC
        +DPWM_Controller
        +Backplane_Interface
        +Output_Stage
        +detectAnomaly(): bool
        +issueAlert(signal): void
        +transitionOutput(activation): void
    }
    class ElectricalLoad {
        +DC_Input
    }
    class ChassisBackplane {
        +Shared_Signal_Bus
    }

    ModularRectifier "1" -- "N" ChassisBackplane : connects via
    ModularRectifier "1" -- "1" ElectricalLoad : supplies
    ElectricalLoad -- "1" ModularRectifier : consumes from

2. Operational Parameter Expansion: Cryogenic Quantum Computing Power Delivery

Enabling Description: This system operates within a cryogenic environment at temperatures approaching absolute zero (e.g., 4 Kelvin). The electrical load comprises sensitive quantum computing processors requiring extremely stable, low-noise DC power. First and second power supplies, implemented as superconducting DC-DC converters, are coupled to independent superconducting current sources (e.g., persistent current loops) as their respective electrical energy sources. Each superconducting converter continuously monitors its output stability and source flux quantization. A first alert signal, indicative of a flux instability or persistent current decay in the first source, is transmitted via a dedicated, thermally isolated, optical fiber link. The second superconducting converter, maintained in a dormant, non-energized state, receives a first activation signal via a separate optical link and initiates a controlled ramp-up of its persistent current and subsequent DC-DC conversion to transition from a zero output level to its ultra-stable, low-noise operating level for the quantum processor. Both converters are designed for minimal heat dissipation.

Mermaid Diagram:

graph TD
    A[Superconducting Current Source 1] --> B(Superconducting DC-DC Converter 1)
    B -- Flux Instability Detection --> C{Cryogenic Control Unit}
    C -- Optical Alert --> D(Superconducting DC-DC Converter 2)
    D -- Receives Activation --> E[Quantum Processor Load]
    B -- Provides Ultra-Stable Power --> E
    D -- Transitions from Zero Output --> E
    F[Superconducting Current Source 2] --> D

3. Cross-Domain Application: Redundant Power for Satellite Constellation Ground Stations

Enabling Description: In a ground station for a satellite constellation, the electrical load is the mission-critical telemetry, tracking, and command (TT&C) systems. A first power supply, connected to the primary grid (first source), is a high-reliability AC-DC converter bank. It provides a first alert signal upon detecting grid voltage fluctuations outside operational limits, or brownout conditions. A second power supply, connected to an independent generator set (second source) with its own fuel reserve, is normally in a standby (engine off) mode. The ground station's master control unit processes the first alert signal and issues a second activation signal to the generator-backed power supply. Simultaneously, the generator-backed power supply, upon detecting an anomaly in its own fuel level or engine health, can issue a second alert signal, triggering the primary grid power supply (if recoverable) to re-assume full operation via a first activation signal.

Mermaid Diagram:

graph LR
    S1[Primary Grid] -- Feeds --> PS1(AC-DC Converter Bank)
    S2[Generator Set] -- Feeds --> PS2(Generator-Backed Power Supply)
    PS1 -- First Alert --> MCU[Mission Control Unit]
    PS2 -- Second Alert --> MCU
    MCU -- Second Activation --> PS2
    MCU -- First Activation --> PS1
    PS1 -- Supplies --> Load[TT&C Systems]
    PS2 -- Supplies --> Load

4. Integration with Emerging Tech: Decentralized Blockchain-Validated Power Microgrid

Enabling Description: This system operates as a self-healing power microgrid for an isolated community, where individual homes or facilities are electrical loads. Each facility has at least two power supplies: one connected to a local solar array (first independent source) and another to a localized wind turbine (second independent source). Each power supply includes an embedded microcontroller capable of operating as a blockchain node. Upon detecting an anomalous condition in its source (e.g., solar panel output drop due to cloud cover, wind turbine fault), a power supply broadcasts a cryptographically signed alert signal to a local blockchain network. Other power supplies in the microgrid, acting as "peers," validate this alert. A validated alert acts as an activation signal, triggering a standby power supply (e.g., a battery energy storage system) to transition from a charge-only or idle state to a full discharge/supply mode, with the transaction of power switching immutably logged on the blockchain for billing and audit purposes.

Mermaid Diagram:

flowchart TD
    S1[Solar Array] -- Charges/Powers --> PS1(PS w/ Blockchain Node)
    S2[Wind Turbine] -- Charges/Powers --> PS2(PS w/ Blockchain Node)
    BESS[Battery Energy Storage System] -- Charges/Powers --> PS3(PS w/ Blockchain Node)
    PS1 -- Anomalous Condition --> A1{First Alert Signal}
    PS2 -- Anomalous Condition --> A2{Second Alert Signal}
    A1 --> BCN[Blockchain Network]
    A2 --> BCN
    BCN -- Validated Alert (Activation) --> PS3
    PS3 -- Transitions to Full Output --> Load[Community Electrical Load]
    PS1 -- Provides Power (During Transition) --> Load
    PS2 -- Provides Power (During Transition) --> Load

5. The "Inverse" or Failure Mode: Load-Shedding Coordinated Emergency Response

Enabling Description: This system incorporates a first power supply and a second power supply, both capable of monitoring their respective sources. Upon detecting an anomalous condition, a power supply (e.g., PS1) issues a graded alert signal indicating the severity of the anomaly (e.g., "Warning: Source Degraded," "Critical: Source Imminent Failure"). The electrical load is segmented into multiple tiers of criticality (e.g., Tier 1: essential operations, Tier 2: critical but not immediate, Tier 3: non-essential). If the alert signal indicates a "Warning: Source Degraded," PS2 transitions to a "pre-charge" or "intermediate output" level, preparing for full activation. If the alert escalates to "Critical: Source Imminent Failure" and PS2 fails to fully transition or its own source becomes anomalous, the system initiates a coordinated load-shedding sequence. Each power supply then switches from its lesser output to a "minimum sustained" output level, sufficient only for Tier 1 loads, while broadcasting a system-wide "emergency low-power" activation signal to all other connected power supplies and the load itself.

Mermaid Diagram:

stateDiagram-v2
    state "PS1: Normal" as PS1_N
    state "PS1: Warning Output" as PS1_W
    state "PS1: Min Sustained Output" as PS1_M
    state "PS2: Standby" as PS2_S
    state "PS2: Pre-Charge" as PS2_PC
    state "PS2: Min Sustained Output" as PS2_M
    state "Load: Full" as Load_F
    state "Load: Tier 1 Only" as Load_T1

    PS1_N --> PS1_W : Source Degraded (First Alert)
    PS1_W --> PS2_PC : First Activation Signal
    PS2_S --> PS2_PC : First Activation Signal

    PS1_W --> PS1_M : Critical Source Fail OR PS2_PC Fail (Second Alert/Activation)
    PS2_PC --> PS2_M : Critical Source Fail (Second Alert)
    PS1_M --> Load_T1 : Coordinated Load Shedding
    PS2_M --> Load_T1 : Coordinated Load Shedding

    PS1_N --> Load_F
    PS1_W --> Load_F : (Still supporting)
    PS2_PC --> Load_F : (Pre-charging, not fully supporting)

Derivatives for Independent Claim 14 (Method)

Original Claim 14: A method, comprising: asserting a signal responsive to an anomalous condition of a first independent source of electrical energy, the first independent source of electrical energy coupled to energize a first power supply; transitioning a second power supply from a standby output level to a normal output level responsive to the signal, the second power supply energized by a second independent source of electrical energy; and providing operating power from the first power supply to an electrical load during the transitioning.

1. Material & Component Substitution: Optical Signal Transmission and Solid-State Switching

Enabling Description: The method involves detecting an anomalous condition of a first independent source (e.g., a photovoltaic array) coupled to energize a first power supply (e.g., a solar inverter). A high-speed microcontroller within the solar inverter asserts an alert signal by modulating a laser diode to transmit data over a fiber optic cable to a second power supply (e.g., a grid-tied battery inverter). The second power supply, upon receiving and demodulating the optical signal, commands its internal solid-state AC transfer switch (e.g., using back-to-back thyristors or MOSFETs) to transition from a standby (disconnected) state to a normal (grid-connected) output level within microseconds. During this ultra-fast transition, the first power supply utilizes an internal bank of solid-state capacitors and inductors to provide continuous, filtered operating power to an electrical load.

Mermaid Diagram:

sequenceDiagram
    participant PS1 as First Power Supply (Solar Inverter)
    participant OS as Optical Signal
    participant PS2 as Second Power Supply (Battery Inverter)
    participant Load as Electrical Load

    PS1->>PS1: Detect Solar Array Anomaly
    PS1->>OS: Assert Signal (Laser Diode Modulation)
    OS->>PS2: Transmit via Fiber Optic
    PS2->>PS2: Receive & Demodulate Signal
    PS2->>PS2: Command Solid-State Transfer Switch
    PS1->>Load: Provide Power (Solid-State Caps/Inductors)
    PS2->>PS2: Transition to Normal Output (Microseconds)
    PS2->>Load: Provide Full Power

2. Operational Parameter Expansion: Ultra-Low Power, Long-Duration Standby for Remote IoT Nodes

Enabling Description: This method is tailored for remote, battery-powered IoT nodes. A first independent source (e.g., a small vibrational energy harvester) energizes a first micro-power supply, providing infrequent bursts of operating power to a sensor load. An anomalous condition (e.g., cessation of vibration, harvester malfunction) is detected by a dedicated hardware watchdog timer. This watchdog timer asserts a signal to a second micro-power supply, energized by a second independent source (e.g., a long-life primary battery). The second power supply is configured in an "ultra-low power standby" mode, consuming nanoamperes, and upon receiving the signal, wakes up its primary voltage regulator and transitions to a "normal output level" (e.g., 3.3V for 10 seconds), providing sufficient power for the IoT node to transmit data before returning to ultra-low power standby. The first power supply, even with its intermittent nature, attempts to provide residual operating power to a critical sub-component of the load (e.g., a low-power clock) during the second supply's transition.

Mermaid Diagram:

stateDiagram-v2
    state "PS1: Intermittent Power" as PS1_INT
    state "PS2: Ultra-Low Power Standby" as PS2_ULP
    state "PS2: Normal Output" as PS2_NORM
    state "Load: Critical Sub-Component" as Load_CSC
    state "Load: Data Transmission" as Load_DT

    PS1_INT --> PS1_INT : Detect Harvester Anomaly
    PS1_INT --> PS2_ULP : Assert Signal (Watchdog)
    PS2_ULP --> PS2_NORM : Responsive to Signal (Wake-up)
    PS1_INT --> Load_CSC : Provide Residual Power
    PS2_NORM --> Load_DT : Provide Operating Power

3. Cross-Domain Application: Redundant Power for Surgical Robotics Systems

Enabling Description: In a surgical robotics system, the electrical load comprises precision motors and haptic feedback mechanisms. A first independent source (hospital AC mains) energizes a first power supply (medical-grade AC-DC converter). An anomalous condition (e.g., momentary AC sag, ripple exceeding predefined limits) is detected by the first power supply, which immediately asserts a signal (e.g., a safety integrity level (SIL) compliant discrete I/O line). A second independent source (a dedicated uninterruptible power supply (UPS) with medical-grade isolation) energizes a second power supply (UPS inverter), maintained in a 'hot standby' state. Upon receiving the signal, the second power supply transitions its output from a synchronized but unloaded state to a full operating level within a sub-millisecond timeframe. The first power supply, utilizing its internal filter capacitors and an active hold-up circuit, provides regulated operating power to the surgical robot during this extremely rapid transition, preventing any interruption in motor control or sensor feedback that could compromise patient safety.

Mermaid Diagram:

flowchart LR
    S1[Hospital AC Mains] --> PS1(Medical AC-DC Converter)
    S2[Medical UPS] --> PS2(UPS Inverter - Hot Standby)
    PS1 -- Anomaly Detection --> Signal[Assert Signal (SIL I/O)]
    Signal --> PS2
    PS2 -- Sub-millisecond Transition --> Load[Surgical Robotics Load]
    PS1 -- Provide Operating Power (Hold-up) --> Load
    PS2 -- Provide Normal Operating Power --> Load

4. Integration with Emerging Tech: AI-Optimized, Self-Healing Power Grids with Real-time IoT Data

Enabling Description: This method is deployed in a distributed smart grid infrastructure. A first independent source (e.g., a utility-scale solar farm segment) energizes a first power supply (e.g., a grid-tied inverter). Real-time IoT sensors (e.g., smart meters, weather stations, irradiance sensors) feed data into an AI-driven grid management system. The AI system, employing deep learning algorithms, predicts an anomalous condition of the first source (e.g., a sudden drop in solar output due to rapidly developing cloud cover, a predicted equipment fault based on sensor analytics). The AI system then asserts a predictive signal (e.g., via a secure API call) to a second power supply (e.g., a utility-scale battery energy storage system inverter), which is energized by a second independent source (the battery bank). The second power supply transitions from a standby (float charge) output level to a normal (discharge) output level, preemptively compensating for the predicted dip. The first power supply, operating with reduced output due to the anomaly, continues to provide its available power to the electrical load (the local grid segment) during the battery inverter's ramping up, ensuring grid stability.

Mermaid Diagram:

sequenceDiagram
    participant IoT as IoT Sensors (Grid)
    participant AI as AI Grid Mgmt System
    participant PS1 as First PS (Solar Inverter)
    participant PS2 as Second PS (Battery Inverter)
    participant Grid as Electrical Load (Local Grid)

    IoT->>AI: Stream Real-time Data
    AI->>AI: Deep Learning (Predictive Anomaly)
    AI->>PS2: Assert Predictive Signal (API Call)
    PS2->>PS2: Transition Standby to Discharge
    PS1->>Grid: Provide Available Power (During Transition)
    PS2->>Grid: Provide Normal Output Power

5. The "Inverse" or Failure Mode: Demand-Side Management (DSM) Triggered Low-Power Mode Activation

Enabling Description: This method initiates a "safe low-power" mode for the electrical load. A first independent source (e.g., regional utility grid) energizes a first power supply. An anomalous condition (e.g., detected grid instability, or an over-subscription event signaled by the utility's Demand-Side Management (DSM) system) triggers the first power supply to assert a signal. This signal is interpreted by a central building management system (BMS) as a request for DSM. The BMS then issues a tiered activation signal to a second power supply (e.g., a local generator or micro-CHP unit) energized by a second independent source. Instead of transitioning to a full normal output, the second power supply transitions to a "DSM-compliant output level" (e.g., 50% of normal capacity) and simultaneously signals the electrical load to enter a low-power consumption mode. During this coordinated transition, the first power supply continues to provide operating power, possibly at a reduced level, to ensure continuity for critical load components while the overall system adjusts to the constrained power environment.

Mermaid Diagram:

graph TD
    S1[Regional Utility Grid] --> PS1(First Power Supply)
    S2[Local Generator/Micro-CHP] --> PS2(Second Power Supply)
    PS1 -- Anomaly/DSM Request --> Signal[Assert Signal]
    Signal --> BMS(Building Management System)
    BMS -- Tiered Activation --> PS2
    BMS -- Low-Power Mode Command --> Load[Electrical Load]
    PS2 -- DSM-Compliant Output --> Load
    PS1 -- Provide Reduced Power (During Transition) --> Load