95 results about "Dynamic power management" patented technology

The invention provides an intelligent flight control integrated system for a large unmanned aerial vehicle, and the system comprises a multi-mode environment sensing module, a self-adaptive flight control module, a dynamic power management module, a distributed communication architecture module, an intelligent task decision module, and a fault self-repairing system. The multi-mode environment sensing module is connected with the adaptive flight control module through a bidirectional real-time data bus, and transmits environment sensing data to the intelligent task decision module through an optical fiber communication redundant link; the dynamic power management module is connected with each function module through an intelligent power distribution matrix, and the intelligent power distribution matrix comprises a 16-channel programmable MOSFET array. Through cross-module collaborative design (perception-control-energy-communication) and physical constraint embedding (moment balance and optical fiber mechanical protection), the system has comprehensive advantages in the aspects of environmental adaptability, energy efficiency management, communication reliability, extreme fault tolerance and the like, and the performance boundary of a traditional unmanned aerial vehicle system is remarkably exceeded.

According to the task scheduling and resource management system and method provided by the invention, full-link automatic management from peripheral event triggering to resource dynamic allocation and recovery is realized through close cooperation of the peripheral collaborative network, the dynamic power management module, the task scheduling module, the self-adaptive clock module and the exception monitoring unit. Compared with the prior art, the system not only can perform hardware-level scheduling in real time according to task priorities and system loads, but also can improve energy efficiency through regionalized power supply and clock frequency adjustment, supports rapid recovery and storage of task contexts, has a perfect fault monitoring and isolation mechanism, and is high in practicability. Therefore, the real-time performance, the energy consumption efficiency and the operation reliability of the system are obviously improved.

The invention provides an intelligent clock gating NoC system based on AXI interconnection and a dynamic power consumption management method, and belongs to the technical field of integrated circuit design, the system is characterized in that an AXI interconnection matrix module is provided with a crossbar switch, a master port and a slave port, and the master port and the slave port are connected with the crossbar switch through an AXI bus; each router node in the 2D Mesh network module is provided with a local port and a peripheral port, and each router node is connected with an adjacent router node through the peripheral port; the intelligent clock gating module monitors the channel flow of the AXI interconnection matrix module and the data load of each router node in the 2D Mesh network module in real time, and dynamically controls a clock signal; and the dynamic power management module adjusts the power consumption state according to the global power optimization signal and the local optimization signal. The overall power consumption of the system-on-chip is reduced, and the stability and efficiency of data transmission are enhanced.

The invention relates to the technical field of military equipment maintenance support, in particular to a maintenance cabin intelligent system based on multi-modal data fusion and dynamic cooperative control, which comprises a multi-modal sensor module, a dynamic decision module and an actuator module, the multi-modal sensor module, the dynamic decision-making module and the actuator module are connected through a closed-loop control link, and original data of the multi-modal sensor module are input into the dynamic decision-making module; a control instruction output by the dynamic decision module drives the actuator module to act; and the execution state of the actuator module is fed back to the dynamic decision module to dynamically adjust the task priority. According to the method, a three-dimensional map is constructed through multi-modal sensor fusion, and task allocation is dynamically optimized through reinforcement learning and Nash equilibrium; the GAN generates adaptive camouflage, improves the YOLOv7, improves the damage detection precision, carries out real-time path planning and dynamic power management, and achieves the high environmental adaptability, efficient execution, and reliable and stable system performance.

The invention discloses an MPC-SP-based all-vanadium redox flow battery constant-power charging and discharging control method, which is applied to an energy storage control system composed of an MPC-SP controller, a PCS and an all-vanadium redox flow battery, and is characterized in that the controller dynamically and accurately adjusts the power output to the battery based on preset SOC interval division, and the power output to the battery is increased along with the increase of the actual SOC value of the battery. The power is increased in stages. Meanwhile, the controller pays attention to the voltage Ud of the battery end all the time, and when the Ud reaches a voltage limiting value, the constant voltage mode is switched, so that the battery is effectively prevented from being damaged due to overhigh voltage. The state-based dynamic power management is much safer, more flexible and more intelligent than traditional fixed constant power control. According to the invention, the change rate of current in the charge-discharge process of the all-vanadium redox flow battery can be reduced, the service life of the battery is prolonged, and the safety is guaranteed.

The invention relates to the technical field of Internet of Things and intelligent management, in particular to a multi-dimensional characteristic carrier real-time intelligent management and control system based on an RFID signal, and the system comprises an intelligent RFID read-write module, a signal characteristic analysis unit, a carrier state diagnosis engine, a dynamic power management module and a cloud management platform. The intelligent RFID read-write module supports dual frequency bands of UHF (Ultra High Frequency) RFID (Radio Frequency Identification Device) (860MHz-960MHz) and HF (High Frequency) RFID (Radio Frequency Identification Device) (13.56 MHz); in the scheme, through close cooperative work of the intelligent RFID read-write module, the signal feature analysis unit, the carrier state diagnosis engine, the dynamic power management module and the cloud management platform, high-precision positioning, real-time state monitoring and automatic management of the carrier are realized; advanced technologies such as multi-dimensional signal fusion, self-adaptive power control and AI state diagnosis are adopted by the system, many problems of a traditional RFID system in a complex environment are effectively solved, and the operation efficiency and reliability in the fields of logistics, storage, medical treatment, book and archive management and the like are remarkably improved.

The invention discloses a dynamic power management method for an all-electric ship hybrid energy storage system. The method comprises the following steps: S1, establishing a direct-current voltage dynamic model and a ship hybrid energy storage system model based on a ship micro-grid structure of a ship; s2, establishing a multi-working-condition propulsion power model based on the movement mechanism of the ship; s3, establishing a joint SOC-SOP estimation model based on the nonlinear relationship among the state of charge, the battery power characteristics and the ambient temperature; s4, on the basis of the direct-current voltage dynamic model, the ship hybrid energy storage system model and the multi-working-condition propulsion power model, establishing a dynamic power distribution model; and S5, estimating an available power range of the battery through a combined SOC-SOP estimation model, inputting the available power range into the dynamic power distribution model, obtaining a dynamic power distribution strategy, and realizing dynamic power distribution of the ship hybrid energy storage system. According to the method, the dynamic power management of the hybrid energy storage system of the all-electric ship under the uncertain navigation condition is optimized, and the stability and the economical efficiency of a ship power system are improved.

This disclosure includes systems and method to manage customer incentivization and participation in virtual power plant (“VPP”) opportunities. A customer may enroll energy assets into VPP and may receive requests to participate in VPP opportunities as a grid has an impending demand for power greater than the supply of the grid. By participating, a user may earn rewards. By committing energy assets and not participating, or by not responding to requests for enrolled energy assets to participate in VPP, a user may receive a penalty. Participation in VPP may be requested on a grouped basis where some groups may have greater rewards and greater penalties but require more reliable participation from a user. Users may be automatically reassigned between groups based on a reliability metric.

The invention provides a solar energy-radio frequency energy dual-driven low-altitude polarization switching dynamic power management system, and relates to the technical field of low-altitude flight. The system integrates a high-efficiency solar energy collection unit and a radio frequency energy collection unit with dynamic polarization adaptive switching capability, is assisted by a high-performance hybrid energy storage unit, and carries out unified coordination control through an intelligent power management unit. The radio frequency energy collection unit adopts a reconfigurable antenna technology, can sense the polarization characteristic of an environment radio frequency signal in real time, and dynamically switches the polarization state of an antenna to maximize the instantaneous energy capture efficiency; the intelligent power management unit executes a dynamic and collaborative energy flow scheduling strategy based on comprehensive analysis of solar irradiance, environment radio frequency spectrum and polarization characteristics, energy storage unit state, future energy income and expenditure prediction and real-time load demand; and the energy self-sustaining capability, the task endurance time and the working stability of low-altitude equipment in a complex and changeable environment are improved.

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 invention discloses a data center power distribution optimization method and system, and the method comprises the steps: building a three-dimensional environment-power consumption correlation field model through monitoring a data center calculation node power consumption signal and environment sensing data, and deeply mining an influence rule of environment factors, such as temperature and humidity, on a power consumption demand; probabilistic power consumption parameters are extracted from the association field by applying a probability inference analysis technology, a power consumption event triggering threshold value is established, and a dynamic power consumption management boundary is formed; a quality demand matrix is generated based on service quality demand difference identification, and a hierarchical power consumption parameter system is constructed; adaptive parameters are obtained through load-power consumption correlation analysis, a power consumption redundant component is identified and converted into a power consumption enhancement cache region, and self-adaptive power consumption adjustment is achieved; and finally, constructing a power consumption control matrix, detecting power consumption imbalance nodes, carrying out balanced pairing, and generating an accurate power consumption management instruction, thereby realizing intelligent optimization control of the power consumption of the data center, effectively improving the energy utilization efficiency and guaranteeing the service quality.

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 invention relates to a cloud mobile phone terminal decoding chip architecture and a collaborative optimization method thereof, processing equipment and a storage medium, the chip architecture adopts an ASIC (Application Specific Integrated Circuit) chip and comprises a video decoding module, a communication interface module, a touch processing module, a dynamic power management module and a communication protocol switching module; the video decoding module is used for performing motion compensation processing and entropy decoding on input video data and determining a power gating driving signal of the dynamic power management module; the touch control processing module is used for carrying out wavelet processing and Kalman filtering processing on an input touch control signal; the dynamic power management module is used for dynamically adjusting the power supply voltage and frequency according to the power consumption information and cutting off power supply according to the power gating driving signal and / or the detected temperature; the communication protocol switching module is used for controlling switching of communication protocols; the communication interface module is used for determining power consumption information; and sending the decoded video data and the filtered touch signal to the cloud. The method and the device can be widely applied to the technical field of cloud mobile phones.

The invention discloses a dynamic power management SSD system based on AI, and relates to the technical field of intelligent storage power management, and the dynamic power management SSD system comprises the steps: carrying out the pulse domain fusion of a pulse environment feature and an electron mobility change feature in an SSD, and generating a fusion pulse feature map in combination with a pulse attention mechanism; constructing a neural pulse dynamic decision model based on a bionic pulse neural network architecture, and obtaining a power supply state decision instruction by inputting a fusion pulse feature map; and dynamically updating the parameters of the neural pulse dynamic decision model through an online learning algorithm based on the power supply switching characteristic parameters. According to the method, pulse domain fusion is carried out on the pulse environment features and the electron mobility change features in the SSD, and the fusion pulse feature map is generated in combination with a pulse attention mechanism, so that effective integration of multi-source information is realized, and the perception capability of complex environment changes is improved.

The invention relates to the technical field of electric power management, in particular to an extended-range motor caravan electric quantity dynamic management system and method.The method comprises the steps that an environment-internal resistance monitoring module monitors environment parameters in real time and measures the internal resistance value of a battery, and the environment threat level is evaluated through an environment threat evaluation model; the battery layered dormancy control module is used for layering the battery pack and calculating the battery health degree to control the dormancy depth; according to the historical internal resistance recovery data, calculating duration required by complete activation of the battery, and determining wakeup starting time; the wake-up trigger module judges the wake-up opportunity based on the internal resistance change The battery progressive awakening and stopping module performs layered progressive awakening according to the advantages and disadvantages of the internal resistance of the battery, and determines the number of awakened batteries through power verification; and the battery re-dormancy module dynamically corrects the health degree and the dormancy depth of the battery based on the real-time internal resistance value of the battery in combination with environmental damage accumulation, and re-dormants the remaining battery. According to the invention, collaborative electric quantity management and battery dynamic protection of a plurality of extended-range motor and residential workshops can be realized in an extreme environment.

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.

The invention discloses a circuit optimization method of a low-power-consumption wireless audio transmission chip based on 5G support, which adopts a multi-stage dynamic power management strategy, and intelligently adjusts the working mode of the chip by detecting factors such as network environment, transmission quality, audio content complexity and the like in real time so as to optimize the balance between power consumption and audio quality. In the aspect of audio signal processing, an adaptive compression algorithm and a low-delay codec are used, an optimal processing scheme is automatically selected according to different audio contents and network conditions, and bandwidth occupation is reduced while the audio quality is ensured. By introducing a multi-stage dynamic power management strategy, the method can intelligently adjust power consumption according to real-time changes of network conditions, equipment states and audio contents, so that unnecessary energy consumption is reduced while a chip efficiently transmits audio data. Therefore, the accuracy of power consumption control is improved, and the adaptability of the chip in various environments is enhanced.

The invention relates to the technical field of vehicle-mounted emergency power supplies and management thereof, and particularly discloses an automobile emergency power supply self-adaptive output method and system based on dynamic power management, and the method comprises the steps: obtaining the equipment connection state of each output port of an automobile emergency power supply and the remaining electric quantity of the automobile emergency power supply in real time; when a device is connected, identifying a charging protocol type and a power demand parameter of the device through a protocol handshake signal; acquiring preset equipment priority data, and dynamically distributing the power of each output port in real time according to the identification result, the equipment priority data and the residual electric quantity of the automobile emergency power supply; according to the invention, in the actual combined use of multiple modules, the orderly power supply among the functional modules is ensured. In a vehicle-mounted environment, the excellent performance of plug and play of interfaces, automatic protocol identification and multi-device dynamic combination output is realized, and the use convenience and safety are obviously improved.

The invention relates to the technical field of electrical automation control, and discloses a permanent magnet recloser controller for capacitor power taking and supplying and a circuit design method thereof. According to the permanent magnet recloser controller, a multi-stage capacitor electricity taking circuit controls a three-stage capacitor switching combination through an intelligent change-over switch; the self-adaptive current detection module generates a power prediction value by adopting a Hall sensor and a sliding window algorithm; the dynamic power management circuit comprises a switching power supply, a super capacitor and a lithium battery unit; the permanent magnetic mechanism driving circuit generates a pulse signal through an IGBT; and the intelligent reclosing control module performs differential control according to the fault characteristics. The problems that in the prior art, a permanent magnet recloser controller taking and supplying power through a capacitor is unstable in power supply under the variable load working condition, power management lacks self-adaptability, the driving reliability of a permanent magnet mechanism is poor, and a reclosing strategy is solidified are solved.

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.

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 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 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.

A storage system is provided. The system includes a primary node having a processor and a memory storing scheduling logic; and a plurality of secondary nodes, each of the secondary nodes having a processor and a removable storage memory, where the processors of the primary nodes, when executing the scheduling logic, are configured to: assign priorities to tasks executed by the storage system; monitoring a processing load of the storage system; and monitoring a capacity of the memory system. The processor is further configured to adjust power consumption of a processor of at least one of the plurality of secondary nodes based on the priority of tasks performed by the storage system and the processing load and the capacity of the storage system.

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.