40 results about "Dynamic power management" patented technology

Systems, computer program products, and methods are described for dynamic power management in signal conductors, such as PCIe links. An example system determines an imminent change in link usage based on a combination of the received historical and predicted link usage information. In response, the example system either triggers a transition from a current operational state to a subsequent operational state, or dynamically adjusts a time period associated with the transition of the signal conductor from a current operational state to a subsequent operational state. These operational states are defined within a predefined sequence of operational power states, ranging from low-power states to active states. The adjustment of the transition time period serves as a mechanism to accommodate variations in link usage patterns, ensuring that transitions between operational states are both timely and efficient, optimizing the link's operational efficiency and reducing potential delays in data processing.

The present application belongs to the technical field of computer hardware, and discloses a self-adaptive voltage regulation method for dynamic power management of a notebook computer, comprising: collecting multi-source data, generating a state label, and constructing a four-dimensional situation map; analyzing the task correlation strength and load type through space-time correlation, generating double labels in combination with user behavior; dividing the component safety boundary and allocating multiple types of credit, then forming a DAO smart contract set by constructing a component node network; and formulating state flow rules in combination with the real-time load characteristics of the components; generating a voltage regulation parameter table in combination with a V-F curve, reconstructing a synchronous regulation group and generating a synchronous regulation group configuration table, then executing component voltage regulation and state flow, and generating a state flow completion signal; generating a parameter optimization scheme through three-level feedback, and deducing the expected effect of the quantization scheme to form an evaluation report; and executing the parameter optimization scheme and synchronously updating it to the previous link as a new benchmark.

This invention discloses a constant power charge-discharge control method for vanadium redox flow batteries based on MPC-SP, applied to an energy storage control system consisting of an MPC-SP controller, a PCS, and the vanadium redox flow battery. Based on a preset SOC range, the controller dynamically and precisely adjusts the power output to the battery, increasing the power in stages as the actual SOC value of the battery increases. Simultaneously, the controller constantly monitors the battery terminal voltage Ud; when Ud reaches a voltage limit, it switches to constant voltage mode, effectively preventing battery damage due to excessive voltage. This state-based dynamic power management is far safer, more flexible, and more intelligent than traditional fixed constant power control. This invention reduces the rate of current change during the charge-discharge process of the vanadium redox flow battery, extending battery life while ensuring safety.

Aspects of the disclosure are directed to dynamic power management. In accordance with one aspect, the disclosure includes determining a system state using real-time monitoring of a plurality of input / output (IO) rings; transitioning a subset of a plurality of processing engines to an offline state to decrease from a quantity of the plurality of processing engines in an active power state to a remaining quantity; determining if a software-based data plane is required in the plurality of processing engines that remain in the active power state; and transitioning a data path hardware mode and a plurality of packet data flows for the remaining quantity.

The invention discloses a low-power-consumption Bluetooth near-field identity recognition device, a dynamic power consumption management method, a hierarchical encryption storage method and a cross-layer collaborative management method, and relates to the field of near-field recognizing.An MCU and a BLE module integrating 4MB Flash form a core, and data communication is achieved through a UART interface; the dynamic power consumption control unit adjusts a power supply strategy according to the working state of the equipment, and controls the broadcast interval of the BLE module and the power mode of the MCU; the hierarchical storage architecture based on 4MB Flash realizes sensitive data isolation through a hardware encryption engine, and supports dynamic partition access permission switching during operation; a near-field identification trigger interface, a configuration parameter read-write interface and a function expansion interface are provided, distance threshold adjustment and power consumption mode switching are supported, breakthrough between low cost and long endurance is achieved through collaborative design of hardware architecture optimization and dynamic power consumption control, and the method is suitable for large-scale deployment scenes and has wide application prospects. And the full life cycle cost of the terminal equipment is obviously reduced.

The utility model discloses an integrated control system for an electric power inspection unmanned aerial vehicle and the unmanned aerial vehicle thereof. The integrated control system comprises an integrated box body, a computer, a multi-source positioning module and a self-adaptive adjusting mechanism. According to the technical scheme of the utility model, through cooperation of multiple sensors and dynamic attitude adjustment, the inspection efficiency of the power transmission line is significantly improved; an anti-interference design and a redundancy mechanism ensure stable operation in a complex environment; dynamic power management and solar energy supplement reduce energy waste and meet the requirement of green operation; standardized mechanical components are easy to replace, and operation and maintenance cost is reduced.

This application is directed to dynamic power management among multiple memory devices of an electronic system. A plurality of memory devices are coupled into a ring of memory devices, and passes a power data packet along a power control path that tracks the ring of memory devices continuously. During a current cycle, a first memory device receives the power data packet from an upstream memory device on the power control path, and the power data packet includes at least a system power level indicating total power consumption of the plurality of memory devices. The first memory device sets a current power level of the first memory device based on the received power data packet, updates the power data packet based on the current power level, and sends the updated power data packet to a downstream memory device on the power control path.

Devices, systems, methods, and processes for dynamic power management in network devices are described herein. Power consumption in network devices may fluctuate due to varying load conditions, leading to inefficiency if all power supply units (PSUs) in these network devices remain active all the time. To address this, a network device is provided with a power management logic that dynamically tunes a count of active PSUs in the network device based on a load demand handled by various PSUs in the network device. The power management logic may receive, from the PSUs, one or more load status signals indicating the load demand handled by the PSUs. Based on the one or more load status signals, the power management logic may determine whether to increase or decrease the count of active PSUs. Dynamically adjusting the count of active PSUs may enhance energy efficiency, reduce costs, and promote sustainability.

The application relates to the technical field of electrical automation control, and discloses a permanent magnet recloser controller for capacitor power supply and a circuit design method thereof. The permanent magnet recloser controller comprises: a multi-stage capacitor power supply circuit which controls the combination of three-stage capacitors through an intelligent switching switch; an adaptive current detection module which generates a power prediction value by using a Hall sensor and a sliding window algorithm; a dynamic power management circuit which comprises a switching power supply, a super capacitor and a lithium battery unit; a permanent magnet mechanism driving circuit which generates a pulse signal through an IGBT; and an intelligent reclosing control module which performs differential control according to fault characteristics. The application solves the problems of the permanent magnet recloser controller for capacitor power supply in the prior art, such as unstable power supply under variable load conditions, lack of adaptability of power management, poor reliability of the permanent magnet mechanism driving, and fixed reclosing strategy.

This application relates to a temperature and humidity monitoring system and method for low-voltage power distribution equipment. The system, applied to low-voltage power distribution equipment, includes: a temperature and humidity sensing unit for collecting temperature and humidity data of the equipment; a power supply unit connected to the sensing unit and the control unit for supplying power to both; a low-power management unit connected to the power supply unit and the sensing unit; and a control unit connected to the sensing unit and the low-power management unit for analyzing and processing the temperature and humidity data, and controlling the low-power management unit to dynamically adjust the voltage of the power supply unit based on a preset dynamic power management algorithm. This application can significantly reduce battery power consumption and improve battery performance and lifespan.

The invention relates to the technical field of dynamic power consumption of memory calculation, and belongs to a dynamic power consumption optimization system and method based on adaptive memory calculation. The problems of low resource utilization rate, energy efficiency waste, thermal throttling and unstable performance caused by static resource allocation, coarse-grained power consumption control and passive heat dissipation in a traditional memory computing architecture are solved, and high-energy-efficiency, low-delay and high-reliability operation of a memory computing module is achieved.

The invention relates to a system for dynamic power management in a signal conductor. Systems, computer program products, and methods for dynamic power management in signal conductors, such as PCIe links, are described. One example system determines an impending link usage change based on a combination of received historical link usage information and predicted link usage information. In response, the example system either triggers a transition from a current operating state to a subsequent operating state, or dynamically adjusts a time period associated with the transition of the signal conductor from the current operating state to the subsequent operating state. The operating states are defined in a predefined sequence of operating power states ranging from a low power state to an active state. Adjustment of the conversion time period is taken as a mechanism, the method can adapt to the change of the link use mode, and timely and efficient conversion between operation states is ensured, so that the operation efficiency of the link is optimized, and potential delay in data processing is reduced.

The embodiment of the invention discloses a bionic coupling heat dissipation and dynamic power management method and system oriented to 6G shielding, and an intelligent closed loop with dynamic coordination of heat dissipation and power is constructed by simulating a'body temperature-blood flow 'regulation mechanism of an organism. Temperature fields of hot spots such as a power amplifier chip and a filter are sensed in real time through a built-in multi-point temperature sensor; on the basis, the dynamic power distribution unit adjusts the transmitting power of each radio frequency channel in real time according to a preset temperature rise threshold value and a shielding effectiveness algorithm, so that local overheating is avoided; and meanwhile, the bionic micro-channel heat dissipation module is driven to change the flow speed of the cooling liquid, and accurate heat removal is achieved. According to the invention, it is ensured that a 6G shielding system can continuously, stably and efficiently work in a terahertz frequency band from the inside of equipment, the problems of performance degradation and equipment reliability caused by heat accumulation are solved, and the method is a key for supporting the whole machine to realize long-term compliance shielding.

The invention relates to an ultra-low power consumption Van der Waals heterojunction gas sensor based on alternating current driving. The ultra-low power consumption Van der Waals heterojunction gas sensor comprises a gas sensitive element, an alternating current signal source, measuring equipment and a data processing unit, the gas sensitive element comprises a substrate, an electrode and a Van der Waals heterojunction sensitive layer on the electrode; the Van der Waals heterojunction sensitive layer is formed by compounding a sensitive material and a conductive substrate through Van der Waals force; the alternating current signal source is composed of a direct current power supply, an oscillating circuit and a filter circuit; the measuring equipment is used for measuring complex impedance of the gas sensor under different frequencies; and the data processing unit extracts characteristic parameters according to the complex impedance data so as to identify the gas type and concentration. The gas sensor disclosed by the invention can complete measurement only by needing AC driving power of microwatt level and below, has response to ppb and even ppt level trace gas, can realize on-chip real-time EIS analysis, intelligent identification and dynamic power consumption management, and is easy to develop towards miniaturization, intelligence and array.

This invention relates to the field of power equipment monitoring technology, specifically to a surge arrester monitoring system based on rectifier array energy harvesting and dynamic power management. The system includes an energy harvesting module comprising a rectifier array and an energy conversion unit. The input terminal of the rectifier array is connected to the surge arrester grounding circuit. The energy conversion unit is used to regulate the DC signal and output a DC voltage. An energy storage and management unit has its input terminal connected to the output terminal of the energy conversion unit. A signal acquisition unit has its input terminal connected to the surge arrester valve plate. A lightning strike counting branch is included. A communication module is used to wirelessly upload monitoring and evaluation data. An MCU is connected to the energy conversion unit, energy storage and management unit, signal acquisition unit, lightning strike counting branch, and communication module. This invention solves the problem of energy imbalance in the system, thereby ensuring absolute self-powering and long-term stable maintenance-free operation of the surge arrester online monitoring device throughout its entire lifecycle.

The invention relates to an AI intelligent calculation system power consumption dynamic power management and dynamic voltage and frequency regulation method, and belongs to the technical field of artificial intelligence. According to the AI intelligent computing system, an intelligent hybrid heterogeneous computing architecture of CPU + NPU + FPGA is adopted, computing power improvement of the low-power-consumption miniaturized intelligent computing system can be achieved, and the requirement for high computing power of an AI data processing function is met. The real-time state of the system is judged through a software algorithm, dynamic voltage and frequency regulation is performed on the CPU while dynamic power management of the intelligent computing system is realized, the problems of poor endurance and high energy consumption of an embedded unmanned intelligent platform in a severe environment can be solved, longer endurance of unmanned intelligent equipment in the severe environment can be ensured, and the service life of the unmanned intelligent equipment is prolonged. And the unmanned equipment is enabled to avoid infrared tracking.

The application discloses a kind of energy storage power station SOC calibration method, system, electronic equipment and readable medium;The energy storage power station SOC calibration method includes: receiving the SOC calibration signal sent by the energy storage battery compartment to be calibrated;Based on the current power output value of energy storage power station, future plan value and the full charge or full discharge expected time of the energy storage battery compartment to be calibrated, it is judged whether the current is suitable for the SOC calibration of energy storage battery compartment to be calibrated;If yes, based on the current power output value of energy storage power station, the power target value of each energy storage unit in energy storage power station is calculated to redistribute the power output value of each energy storage unit in energy storage power station.The energy storage power station SOC calibration method, system, electronic equipment and readable medium provided by the application can accurately calculate and adjust the power target value of energy storage unit through dynamic power management, to realize more accurate SOC calibration;While executing SOC calibration, the scheduling demand of power grid is considered, to ensure the responsiveness and reliability of energy storage power station to power grid service.

The invention relates to the technical field of GPU cluster optimization, in particular to a GPU cluster starting system based on a DPM, the system comprises a GPU cluster, a dynamic power management unit, a processor and a memory storing a computer program, and when the computer program is executed by the processor, the following steps are realized: when a request is received, initializing a gear identifier, and when the request is received, starting the GPU cluster; setting a current gear through the dynamic power supply management unit according to the gear identifier, executing the target use case according to the current gear, when a first preset condition is met, executing the step of updating the gear identifier and returning to execute the step of setting the current gear through the dynamic power supply management unit according to the gear identifier until a second preset condition is met, and completing the starting of the GPU cluster. According to the method, the running frequency and voltage are gradually increased by controlling the DPM gear, so that the starting current of the GPU cluster is gradually increased, the instantaneous current impact during starting of the GPU cluster is reduced, and the stability and safety during starting of the GPU cluster are improved.

The application discloses an ECG monitoring-oriented SNN learning accelerator, which comprises a register configuration module, an asynchronous global control module, an asynchronous neural network control module, an asynchronous binary classification CNN module, an asynchronous four-classification SNN module, an asynchronous weight update module and a memory management module. Firstly, the accelerator corresponds to a circuit to build a double-layer dynamic network, hierarchical dynamic power management is performed, and a four-classification SNN network of high-precision secondary abnormality detection is selectively activated through a binary classification CNN network of primary abnormality detection. Secondly, the accelerator supports on-chip reasoning and efficient learning, effectively eliminates the ECG feature differences of different individuals under the premise of guaranteeing the privacy and security of user data. Finally, the circuit uses a pulse neural network and an asynchronous logic circuit for control, and the power consumption is greatly reduced compared with a synchronous network.

This disclosure is directed to dynamic power management of a device interface based on a desired bandwidth for transporting data by the device interface. A device interface may packetize and transport raw data to a processor core complex or a peripheral device. In different embodiments, the peripheral device or the processor core complex may generate the raw data. The peripheral device and / or the processor core complex may increase or decrease a data bandwidth of the device interface for transporting the data. In different cases, the peripheral device or the processor core complex may dynamically activate and deactivate a different number of data links of the device interface (80) based on dynamically determining the desired bandwidth. The peripheral device and / or the processor core complex may reduce a power consumption of the device interface by dynamically deactivating one or more of the data links based on the desired bandwidth being below the data bandwidth of the activated data links.

The utility model relates to processor technical field provides a kind of low-power consumption panoramic video splicing's FPGA processor, including multichannel video input interface, parallel processing core, encoder and video output interface.Multichannel video input interface connects external image terminal, and parallel processing core receives video stream by MIPI-CSI2 bus, and is communicated with DSP chip by AXI-Stream bus, realizes video pre-processing and feature matching.The output end of parallel processing core is connected with encoder, and the encoder encodes panoramic video data and is output to display through video output interface.The processor further includes dynamic power management module, for dynamically adjusting power consumption according to load condition, reduce system power consumption.

The application discloses a kind of low-power consumption sensing cluster monitoring systems and methods suitable for electromagnetic environment of converter station.The system includes sensor node, wireless communication module, power module and control management module.Sensor node is used to collect at least two different nature sensing parameters.Control management module controls node to switch between deep sleep mode and real-time communication mode based on the comparison of sensing parameters and preset threshold.In deep sleep mode, node is periodically awakened to collect data;In real-time communication mode, wireless communication module evaluates channel quality before sending, and automatically switches to standby channel to send data if the quality is below the threshold.The application solves the technical problems of single sensor function, poor communication reliability and high power consumption in converter station monitoring through multi-parameter integration, threshold triggered dynamic power management and channel adaptive switching, and realizes long endurance, multi-dimensional and high reliable monitoring of the state of converter station.

The invention belongs to the technical field of display, and provides a pixel area dynamic power consumption management method and system for 8K high-definition display, and the method comprises the steps: carrying out the real-time analysis of an input image frame, and generating a visual importance grade of a pixel area; generating a dynamic optimization strategy of a pixel region based on the visual importance classification and in combination with the motion prediction information of the image frame; receiving the dynamic optimization strategy, arbitrating and adjusting the dynamic optimization strategy based on the type of the current display scene and a system constraint condition, and outputting a final control instruction of a pixel region; and issuing the final control instruction to a driving circuit of the MicroLED display, and adjusting the power consumption control parameters of the corresponding pixel region according to the final control instruction. According to the invention, the power consumption is reduced, and the dynamic response capability and visual experience quality of 8K high-definition display are improved.

The utility model relates to an intelligent fire hydrant which comprises a fire hydrant body, a sensor module arranged on the inner side of a flange on the top of the fire hydrant body, a main controller, a 4G communication module and a power module, the 4G communication module and the power module are integrated in the main controller, and the sensor module comprises a pressure sensor, a temperature sensor, a tilt angle sensor and a GPS sensor; wherein the signal output ends of the pressure sensor, the temperature sensor, the tilt angle sensor and the GPS sensor are in decibel connection with the ADC signal input end of the main controller, the data output end of the main controller is connected with the UART instruction input end of the 4G communication module, and the power module supplies power to the sensor module, the main controller, the 4G communication module and the 4G communication module. According to the intelligent fire hydrant, through cooperative monitoring of multiple sensors of pressure, temperature, inclination angle and positioning and cooperation of low-power-consumption control and dynamic power management technologies, high-precision real-time monitoring and multi-dimensional data fusion of the state of the fire hydrant are provided, and meanwhile the intelligent fire hydrant has ultra-long cruising ability through low power consumption.

A system and method for intelligently managing and distributing power from a common power source to multiple Universal Serial Bus (USB) downstream ports. The system integrates dynamic power management capabilities that enable efficient use of the available power and ensure optimal performance of connected devices. The system acquires real-time power consumption data, including current sensing to measure real-time power consumption of the connected devices and provide system wide power monitoring, to provide port power renegotiation based upon the real-time power consumption.

A system and method for intelligently managing and distributing power from a public power source to multiple Universal Serial Bus (USB) downstream ports. The system integrates dynamic power management capabilities to efficiently utilize available power and ensure optimal performance of connected devices. The system acquires real-time power consumption data, including measuring the real-time power consumption of connected devices via current sensing, and provides system-wide power monitoring to enable port power renegotiation based on real-time power consumption.

This application relates to dynamic power management between multiple storage devices of an electronic system. The multiple storage devices are coupled into a storage device ring and pass power data packets along a power control path that continuously traces the storage device ring. During a current cycle, a first storage device receives the power data packet from an upstream storage device on the power control path, and the power data packet includes at least a system power level indicative of a total power consumption of the multiple storage devices. The first storage device sets a current power level of the first storage device based on the received power data packet, updates the power data packet based on the current power level, and sends the updated power data packet to a downstream storage device on the power control path.

A camera-based time recording system processes a video stream at a first processing setting to detect initiation of a time recording action. In response, the system adjusts to a second processing setting by at least one of increasing frame rate, processing more frames per unit time, increasing resolution, increasing computational capacity, and activating supplemental lighting. The system maintains the second setting for a timeout interval and reverts to the first setting absent further actions.

This application relates to a reader control method, apparatus, device, and medium based on dynamic power consumption management. The reader control method based on dynamic power consumption management includes: collecting the number of valid tags read within the current time window and calculating the tag read rate based on the number of valid tags read; evaluating the current operating environment of the RFID reader based on the tag read rate and generating corresponding evaluation results; determining the current duty cycle based on the evaluation results, whereby the duty cycle indicates the ratio of working time to sleep time within a unit cycle; and determining the corresponding operating mode based on the duty cycle. This enables the RFID reader to adaptively sense and respond to different tag distribution states, allowing the device to dynamically switch operating modes according to tag reading conditions. This avoids power waste and performance deficiencies caused by fixed working cycles, thereby improving energy efficiency and environmental adaptability.

This invention discloses a low-power FFT chip for real-time spectrum analysis of electroencephalogram (EEG) signals and its usage method. The chip includes an analog front-end module, a digital processing module, an interface and control module, and a low-power management and clock control module. The analog front-end module amplifies, filters, performs power frequency notch filtering, and performs analog-to-digital conversion on the input microvolt-level analog EEG signals. This invention integrates a low-noise analog front-end, a dedicated digital processing module, and a fine-grained power management module into a single chip, constructing a dual anti-interference link that combines analog and digital processing. While ensuring signal purity, the digital processing module accelerates real-time processing speed, and the overall power consumption is controlled through fully custom circuitry and dynamic power management. This solves the three major problems of poor real-time performance, high power consumption, and weak noise immunity in general-purpose processor solutions for EEG spectrum analysis, thus meeting the demanding requirements of wearable devices.