6244 results about "Low power dissipation" patented technology

The embodiment of the invention discloses an in-memory computing circuit based on a magnetic cache, and the circuit comprises at least one magnetic cache unit, at least one in-memory computing unit, and a timer. The magnetic cache unit in the at least one magnetic cache unit is used for caching data output by the corresponding in-memory computing unit as to-be-processed data within the corresponding data retention time; the timer is used for respectively setting data retention time for the at least one magnetic cache unit; and the in-memory computing unit in the at least one in-memory computing unit is used for extracting the data to be processed from the corresponding magnetic cache unit for calculation and outputting the computed data to other magnetic cache units. According to the embodiment of the invention, the invention achieves the flexible adjustment of the data retention time of the magnetic cache unit in various in-memory calculation scenes, and achieves the provision of a high-capacity cache for the data needed by in-memory computing under the lower power consumption.

The invention discloses a single-chip microcomputer hierarchical dormancy control method based on dynamic power consumption prediction, and relates to the technical field of single-chip microcomputer low power consumption control, and the method specifically comprises the steps: building a mapping relation between a load current and a clock frequency; setting a dynamic dormancy threshold value; constructing a dynamic power consumption prediction model; a dormancy strategy is designed, module-level power consumption management and single-chip microcomputer function-based power consumption management are adopted, the callable frequency or the maximum operation duration of each function is distributed according to task priorities and battery residual energy consumption, and single-chip microcomputer peripherals are triggered through events and are independently awakened; and executing the sleep strategy, automatically awakening the single chip microcomputer according to a preset awakening condition, and realizing abnormity positioning and processing based on threshold comparison and power consumption monitoring in the process of executing the sleep strategy. According to the invention, module-level power consumption management and single-chip microcomputer function-based power consumption management are realized, the limitation of traditional global dormancy is broken, the need of overall reset during wakeup is avoided, and the response speed is improved while the energy consumption is reduced.

The invention discloses a multi-modal perception and optimization method and system for a low-power-consumption AR device, and the method comprises the steps: collecting multi-modal data, task demands, resource state data and environment data for the AR device; lightweight processing is carried out on the multi-modal neural network model through model pruning, parameter quantification and distillation technologies; inputting the collected data into a lightweight multi-modal neural network model for dynamic reasoning to obtain a multi-modal recognition result; comprising the steps of executing modal adaptive weight acquisition based on task requirements and environment data; executing energy consumption constraint scheduling according to the equipment resource state data, dynamically selecting a reasoning path strategy, and obtaining corresponding modal feature output; multi-modal feature fusion is carried out, task reasoning is completed, and a multi-modal recognition result is obtained; early-leaving control is executed based on a middle-layer confidence coefficient threshold value in the reasoning process; and interactively outputting a real-time multi-mode identification result. According to the invention, energy efficiency and precision balance and multi-mode fusion low-power-consumption optimization can be realized.

The invention discloses a cholesteric liquid crystal display driving method and a cholesteric liquid crystal display driving device for realizing dynamic video display, and belongs to the technical field of display. The method comprises the following steps: firstly, controlling a grid electrode and a source electrode driver to cooperatively work, and resetting a full-screen liquid crystal to a vertical arrangement state as a display reference; then applying a specific voltage signal to each pixel according to the current frame image data, so that the pixels are selectively kept in a vertical arrangement state or converted into a plane arrangement state to display a target image; then common electrode voltage polarity inversion is carried out, reverse voltage is applied for compensation, and finally the process is cycled to achieve image updating. The corresponding device comprises a display panel, a gate driver, a source driver and a time schedule controller for executing the method. According to the method and device, the refresh rate limitation of traditional cholesteric liquid crystal bistable switching is broken through, high-speed dynamic video display is achieved, meanwhile, the display reliability is effectively improved through polarity compensation, the service life is effectively prolonged through polarity compensation, and low power consumption and high compatibility are achieved.

The invention relates to the technical field of intelligent monitoring, in particular to a multi-thread low-power-consumption intelligent monitoring system based on an AI processor. The method has the advantages that aiming at the problems of unbalanced computing power and power consumption, high multi-task processing delay and strong hardware dependence in the prior art, the NPU module of the RK3588 processor is combined with the INT8 quantitative model, so that the power consumption is lower than 10W under the 6TOPS computing power; a dynamic multi-thread scheduling mechanism is designed, parallel processing of more than eight paths of video streams is supported through binding of a priority queue and an NPU core, and end-to-end delay is compressed to be within 200 ms; a zero-copy video stream architecture is constructed, data transfer is eliminated through memory mapping, and preprocessing time consumption is reduced by 90%; an energy efficiency control module is integrated, the NPU voltage frequency is dynamically adjusted according to the load, and the energy efficiency ratio reaches 0.83 TOPS / W; space-time alignment of multi-model reasoning results is realized by adopting a frame ID synchronization technology, and the mismatching rate is lower than 0.1%.

The invention provides a satellite communication terminal power consumption management method, system and device, a medium and a product, and relates to the technical field of satellite communication, and the method comprises the steps: obtaining communication service state index data of a satellite communication terminal in a plurality of monitoring periods based on a preset power consumption monitoring task; judging whether the satellite communication terminal is in an idle state or not according to the communication service state index data, and judging that the satellite communication terminal is in the idle state if the communication service state index data of the satellite communication terminal in a plurality of continuous monitoring periods meets a preset idle state condition; and on the basis of a preset configuration instruction, performing power consumption adjustment on each equipment component in the satellite communication terminal in the idle state so as to adjust the working mode of the satellite communication terminal into a low-power-consumption mode. The energy consumption of the satellite communication terminal is reduced.

The invention discloses a power adaptive digital pre-distortion method, system and device based on sparse GRU and a medium. The method comprises the steps that input and output signals under different powers are collected, a composite feature vector is constructed through amplitude normalization and phase alignment, and a pre-distortion training target is generated in combination with indirect learning; constructing a sparse GRU neural network, introducing L1 regularization constraint, and obtaining a sparse pre-distortion model through joint optimization of mean square error and sparse constraint; partial weight updating is realized based on power grading, and weight fusion output is carried out during power interval switching so as to complete power adaptive optimization; pruning and compressing the sparse GRU model and then deploying the sparse GRU model in a pre-distortion module to compensate the nonlinearity of the power amplifier; according to the method, the model complexity is reduced through rarefaction, the dynamic working condition stability is improved through a power adaptive mechanism, pruning compression adapts to low-power-consumption hardware, high precision, low complexity and adaptive capacity are considered, and the method is suitable for the low-power-consumption and high-performance requirements of a broadband wireless communication system.

The invention relates to the technical field of power systems, and discloses a voltage regulation system of reactive power compensation equipment, which is characterized in that harmonic interference is filtered and eliminated through a voltage reactive power sensing unit, and accurate power grid parameters are acquired; a load trend pre-judgment unit analyzes the historical load curve and the real-time change trend to generate a future pre-judgment signal; the dynamic compensation calculation unit combines the current power grid state with the prediction to calculate the optimal compensation capacity and generate a switching instruction, after the hybrid switching actuator receives the instruction, a thyristor is triggered firstly to realize inrush current-free conduction, a contactor is switched to maintain low power consumption after the current is stable, and meanwhile, the compensation state monitoring unit performs closed-loop adjustment on parameter deviation, so that the optimal compensation capacity is obtained. The multi-dimensional protection unit prevents overvoltage, overcurrent and overheating, the double-path power supply guarantees continuous operation when the main power supply is abnormal, the intelligent communication unit realizes data uploading and remote cooperation, quick response switching of reactive compensation equipment and guarantee of safety of a large-scale power grid are realized, and inrush current impact in the switching process is effectively inhibited.

The invention discloses a low-power-consumption vehicle-mounted intelligent Internet of Things terminal device and a control method thereof. The terminal device comprises a voltage monitoring module and a mode control module. The voltage monitoring module periodically samples the input voltage of the terminal device at a preset sampling frequency to obtain a plurality of voltage sampling values; the mode control module judges the continuous state of the input voltage based on the plurality of voltage sampling values, controls the terminal device to enter a normal mode of full-power operation of all functional modules when the input voltage is continuously in a state greater than or equal to a first voltage threshold value, and controls the terminal device to enter a normal mode of full-power operation of all functional modules when the input voltage is continuously in a state less than the first voltage threshold value. Controlling the terminal device to be switched to a low-power-consumption mode in which part of functional modules are closed, and controlling the terminal device to enter a sleep mode when the input voltage is continuously in a state smaller than a second voltage threshold value; wherein the second voltage threshold value is lower than the first voltage threshold value.

The invention discloses an agricultural heterogeneous multi-core SoC (System on Chip) architecture and equipment integrating vision and environmental perception. According to the architecture, a heterogeneous multi-core design is adopted, a universal CPU and an AI acceleration and preprocessing module are integrated on an on-chip system, an efficient task scheduling mechanism is combined, real-time management and control of multi-source heterogeneous tasks such as image processing, radar resolving and path planning are achieved, and the system response speed and the task execution efficiency are improved. In the aspects of communication and storage, NoC and AXI buses are adopted to cooperatively construct a high-speed data path, DDR4 and Flash mixed storage is supported, and the transmission stability of large-bandwidth data is guaranteed. The power supply and clock management module realizes modularized start and stop and energy consumption optimization through a multi-voltage domain and dynamic power consumption control technology, and is suitable for outdoor long-time operation. The IO and peripheral interface module provides abundant interfaces, and system expansibility and deployment flexibility are improved. The overall framework integrates the advantages of high integration level, high adaptability and low power consumption, and a solid calculation basis is provided for agricultural intelligent equipment.

The invention belongs to the field of star flash mouse communication, and discloses a star flash mouse low-power-consumption communication system and method based on Polar code and SLE collaborative optimization, the system adopts a layered architecture design, collaborative optimization of energy efficiency and performance is realized through deep coupling of a physical layer and a link layer, and the performance of the system is improved. The core of the system is composed of three functional units including a Polar code coding module, an SLE control engine and a cross-layer optimization interface, and a complete closed-loop control system is formed. According to the invention, through deep cooperation of the Polar code and the SLE mechanism, the overall power consumption is reduced by 42.7% compared with the traditional scheme; according to the Polar code dynamic construction method based on track prediction, an ultra-low bit error rate of 10 <-5 > magnitude can still be kept in a 2.4 GHz complex interference environment, and in combination with signal-to-noise ratio self-adaptive coding parameter adjustment, it is ensured that transmission delay within 0.5 ms is always kept from a low-speed office scene to a high-speed electronic sports scene; in the aspect of engineering implementation, the method has the capability of quickly adapting to hardware platforms of different manufacturers, and a complete solution with high performance and low cost is provided for large-scale commercial use of the satellite flash technology in the consumer electronics field.

Certain aspects of the present disclosure provide a method at a monitoring device. The method may include determining whether power is completely turned off to processing elements from a power source during a power saving state and / or whether the power is completely turned on to the processing elements from the power source during a normal power state, based on monitoring of a power controller configured to turn or off the power to the processing elements from the power source. The method may further include transmitting an alert signal when the power is not completely turned off to processing elements from the power source during the power saving state and / or the power is not completely turned on to the processing elements from the power source during the normal power state.

The invention discloses a multi-turn memory optomagnetic encoder hybrid system, belongs to the technical field of position and angle measurement encoders, and aims at solving the problems that an existing optomagnetic hybrid encoder is complex in signal processing, long in axial length, insufficient in precision stability and prone to losing the number of turns and the position. The system comprises an optical encoder, a gallium arsenide magnetic signal acquisition sensor, a multi-antipode unequal magnetic ring, a processor, a hardware circuit, an ultra-low power consumption circuit, a signal acquisition module, a signal processing module and the like, integrates self-developed magnetic angle analysis, turn number memory correction and other algorithms, and adopts dual-redundancy design and intelligent signal mode switching. The method simplifies the signal processing flow, shortens the axial length, improves the measurement precision and stability, enhances the environmental adaptability and fault-tolerant capability, prolongs the endurance, and is suitable for the position angle measurement in a high-precision and severe environment.

The invention provides a low-power-consumption control method of a GPS module. Through data fusion of the gyroscope and the GPS, accurate perception of the motion state of the equipment is realized, and in combination with a dynamic frequency modulation technology and hardware-level power supply control, the power consumption of the system is remarkably reduced on the premise of ensuring the positioning accuracy and the real-time performance. The angular velocity change of the equipment is detected in real time through the gyroscope, and in combination with GPS position information, the equipment is judged to be in a moving, low-speed moving or static state. And dynamically adjusting the GPS sampling period according to the state division result. A sliding window algorithm is adopted to smooth rate fluctuation, a multi-threshold hysteresis mechanism is combined to avoid state misjudgment, a mathematical optimization model is constructed to carry out iterative optimization on control parameters, and balance between power consumption and performance is achieved. Through hardware-level power supply control, zero power consumption in a static state is realized, the average power consumption of the GPS module can be greatly reduced in long-endurance demand scenes such as Internet of Things equipment, wearable equipment, field animal research and the like, and meanwhile, relatively high positioning precision is maintained.

The invention discloses a path planning method and device based on a photon pulse reinforcement learning network, and relates to the field of photon pulse reinforcement learning networks, and the method comprises the steps: adjusting the phase of each phase shifter in an explicit MZI network according to a multi-level pulse neural network, and configuring a weight matrix; carrying out pulse signal loading on the light source by using a light modulator to obtain an input signal; obtaining a plurality of linear calculation results by using the weight matrix and the input signal through an interference effect and a coupling effect; inputting the plurality of linear calculation results into the DFB-SA laser, and obtaining a nonlinear activation result by adjusting the injection current of a gain region of the laser and the reverse bias voltage of a saturation region of the laser; and taking the nonlinear activation result as a new input signal, and returning to the step of obtaining a plurality of linear calculation results by using the weight matrix and the input signal until calculation of all levels in the pulse neural network is completed, so that path planning which is high in speed, low in power consumption and easy to configure is realized.

The invention provides a multi-level wake-up method and system based on a low-power-consumption wake-up protocol, a medium and a product, and relates to the technical field of intelligent voice recognition, and the method comprises the steps: triggering a first-level wake-up code broadcast module to broadcast a target wake-up signal through a target low-power-consumption wake-up protocol by using a received external trigger signal; obtaining a validity verification result obtained after the to-be-awakened device performs validity verification on the received target awakening signal, and determining whether the to-be-awakened device enters a low-power-consumption standby state or not according to the validity verification result; triggering a second-level voiceprint recognition module to monitor a target user in a preset distance range under the condition that the to-be-awakened device is determined to enter the low-power-consumption standby state, so as to collect a voice signal in the preset distance range; and obtaining a voiceprint feature matching result obtained after the second-stage voiceprint recognition module performs voiceprint feature verification on the collected voice signal, and judging whether to activate the to-be-awakened device or not according to the voiceprint feature matching result.

The invention discloses a dormancy and awakening system and method of an enterprise-level solid state disk, and belongs to the technical field of power consumption management of the enterprise-level solid state disk. According to the system, a nonvolatile cache unit, an independent hardware state machine and an ultra-low power consumption wake-up detection circuit are integrated in a main controller. When entering the dormancy state, key data such as an FTL mapping table are stored in a nonvolatile cache, then the power management module cuts off power supply to the NAND flash memory and the main control core, and only the operation of the minimum circuit is maintained, so that the dormancy power consumption is reduced to be below 100mW; and during wakeup, the detection circuit identifies a physical layer signal to trigger rapid power-on, and the hardware state machine directly recovers the system state from the cache and bypasses the software initialization process, so that wakeup is completed and the NAND access capability is reconstructed within 1ms, and the industrial problem that ultra-low power consumption and rapid wakeup cannot be considered at the same time is effectively solved.

According to the heterogeneous multi-core chip power consumption state control system and the heterogeneous multi-core chip provided by the invention, the power consumption state request of each sub power supply domain is received through the set system hardware power consumption management module, and the driving signal is sent to the corresponding sub power supply domain according to the preset hardware time sequence, so that the corresponding sub power supply domain enters the target state; generating a PMU control signal; and the power management module drives an internal voltage regulator to execute corresponding regulation operation according to the PMU control signal. A special control processor (SCP) is not needed, the system hardware power consumption management module realized by pure hardware is adopted to directly control the power consumption state of each sub power supply domain in the heterogeneous multi-core SoC, the software processing delay is eliminated, the response speed is high, the static power consumption of the power consumption management module is remarkably reduced, and the system is particularly suitable for an ultra-low power consumption scene and has a wide application prospect. And hardware-level surge current protection is realized in a multi-core power-on process.

The invention discloses a high-resolution peak value positioning method based on multi-pulse superposition and offset clock cooperation, and belongs to the technical field of laser radar ranging. Aiming at the problems that a traditional laser radar depends on a high-sampling-rate ADC, so that hardware cost is high, power consumption is large, and sampling errors are likely to be caused by echo jitter, the method does not need to replace an existing ADC, and the technical breakthrough is achieved through the following core steps that firstly, the basic sampling rate X Hz and the target equivalent sampling rate improvement multiple N of the ADC are determined; laser pulses are emitted to a target object for N times, during Kth emission, ADC sampling is started by delaying (K-1) / (X * N) seconds, and N groups of echo data with time sequence offset are obtained; performing cross combination on the N groups of data, and constructing an N-time equivalent high-sampling-rate data sequence; repeating the sampling and combining process for S times, and performing alignment superposition and averaging on S groups of data to suppress echo jitter and noise; and estimating initial parameters (amplitude, mean value and standard deviation) of a Gaussian model based on the superposed data, optimizing the parameters through an LM nonlinear optimization algorithm, and finally taking the optimized mean value as a high-precision peak position of an echo signal to realize accurate measurement of the laser flight time. Under the condition of low-sampling-rate hardware, through the collaborative design of clock skew and multi-pulse superposition, the physical limitation of the sampling rate is broken through, low cost, low power consumption and high ranging precision are taken into account, and the method is adaptive to multi-scene application of automatic driving, industrial ranging and the like.

The invention discloses a low-power-consumption photonic integrated device preparation method and a corresponding device, and relates to the technical field of semiconductor optoelectronic integrated devices.The device comprises a substrate, a cantilever beam type grating layer, two gain layers, two modulator layers, a wrapping layer and an electric contact layer, the two gain layers and the two modulator layers are symmetrically distributed, and the wrapping layer and the electric contact layer form a shallow ridge waveguide structure. The two symmetrically-distributed gain layers and the middle cantilever beam type grating layer jointly form a double-end resonant cavity structure, the structure shares a unified grating and a thermal tuning platform to achieve continuous, synchronous and high-precision control over cavity mode wavelengths, and balanced modulation and phase synchronization of double-end output are achieved in cooperation with the symmetrically-integrated high-speed modulator layers on the two sides. According to the technical scheme, the gain layer, the grating layer and the modulator layer are symmetrically integrated on the same substrate, the alignment error of a multi-cavity structure is reduced, synchronous scanning, low drift and strong anti-interference high-quality laser output can be obtained, meanwhile, efficient thermal tuning is conducted through the cantilever beam type grating layer, and power consumption is remarkably reduced.

The invention relates to the technical field of intelligent control, and discloses an ultra-low power consumption miniature LED visible light intensity self-adaptive regulation and control method and system, and the method comprises the steps: obtaining an analog light intensity signal, and carrying out the smoothing processing of the analog light intensity signal, and obtaining an environment light intensity value; calculating a light intensity change rate, and if the light intensity change rate exceeds a dynamic threshold value, marking an environment state and outputting a light intensity difference value; generating a preliminary adjustment instruction according to the state matching control parameter and the difference value quantization mapping, and calculating target light intensity in combination with the basic brightness; after executing the instruction, calculating actual and target deviation, and iteratively correcting to obtain a light intensity control signal; if the power consumption exceeds the limit, optimizing the signal amplitude; the input driving circuit analyzes the synthesized pulse current, excites pixels to emit light and gathers to obtain adjustment data; and if the visual contrast is lower than a threshold value, the change rate is adjusted again to realize closed-loop refining, and the light intensity adjustment accuracy is improved. The method can improve the real-time sensing capability of ambient light.

The invention discloses a quick start-up control method of a face recognition intelligent lock system, which comprises the following steps: enabling the face recognition intelligent lock system to be in an ultra-low power consumption sleep mode in which only a trigger sensing unit is kept for power supply in a normal state, and when the trigger sensing unit detects that a person approaches, executing hardware-level quick wake-up processing of skipping a redundancy self-checking process on the system, entering a system wakeup initialization completion state to execute core module preloading and algorithm component ready processing of preloading a human face recognition core algorithm component on the human face recognition intelligent lock system, and entering a human face recognition module ready state to enable the core module to execute facial feature collection and compare with a local feature library; if the comparison is passed, a power supply self-holding circuit is triggered, and power supply self-holding and unlocking driving linkage processing of maintaining power supply of an unlocking driving unit to complete unlocking and cutting off a power supply of a face recognition unnecessary module is executed on the face recognition intelligent lock system, so that the face recognition intelligent lock system enters a dormant state of unlocking completion and system low consumption.

Methods, systems, and devices for wireless communications are described. In some examples, a user equipment (UE) may receive, via a first radio, a first signal that indicates one or more resource occasions for transmission of a wake-up signal (WUS). Based on receiving the first signal, the UE may transmit, via a second radio for the UE and via the indicated resource occasions, the WUS, where the WUS indicates for the network entity to operate according to a first mode of operation associated with higher power consumption relative to a second mode of operation. In such examples, the first radio of the UE may be associated with lower power consumption relative to the second radio of the UE. Based on transmitting the WUS, the UE may monitor, via the second radio, for control signaling and communicate with the network entity.

The invention relates to the technical field of electric power communication and information, in particular to a substation wireless network performance optimization method based on the Internet of Things, which comprises a data acquisition module, a data transmission and preprocessing module, an intelligent analysis module, a strategy generation module, a strategy execution and feedback module and an effect evaluation and abnormity alarm module. The data acquisition module is used for acquiring operation data and environment parameters of a wireless network of the transformer substation in real time; and the data transmission and preprocessing module is used for performing low-power-consumption transmission, cleaning, normalization and feature extraction processing on the operation data and the environment parameters. According to the application, wireless signal quality (signal intensity, signal-to-noise ratio and the like), equipment operation states (CPU / memory utilization rate and connection number), service load characteristics (flow peak value and protocol type) and environmental parameters (electromagnetic interference intensity, temperature and humidity) are synchronously acquired through the data acquisition module, multi-dimensional data fusion is realized, and a more complete information basis is provided for subsequent analysis.

The invention discloses a computer microcontroller low-power-consumption control method based on an RISC-V framework, and relates to the field of microcontrollers. According to the computer microcontroller low-power-consumption control method based on the RISC-V architecture, a core state cycle monitoring module, a sleep duration prediction unit, a dynamic voltage regulation unit, a multi-stage threshold cycle judgment module, a wake-up interference filtering unit and a closed-loop execution regulation module are configured. According to the computer microcontroller low-power-consumption control method based on the RISC-V architecture, a sleep duration prediction unit calculates a predicted sleep duration based on historical task data, a dynamic voltage regulation unit adaptively matches a core sleep voltage according to the predicted duration, hierarchical verification is performed on a core operation parameter through a multi-level threshold cycle judgment module, and the core operation parameter is subjected to low-power-consumption control based on the RISC-V architecture. And the wake-up interference filtering unit performs progressive filtering on an external wake-up signal, and controls the core to sleep / wake up in combination with the closed-loop execution adjusting module.

The invention provides a chirp modulation-based downlink wake-up receiver implementation method and system, and the method comprises the steps: S1, transmitting a preset wake-up frame to achieve the synchronization with terminal equipment before a transmitter of a wake-up receiver transmits a data frame, the wake-up frame comprises a pure carrier of a preset frequency, a lead code, and a terminal device address sequence and a data sequence based on Manchester encoding; s2, the transmitter generates a baseband signal conforming to a radio frequency front-end mode of the receiver through the wake-up frame, and the baseband signal is subjected to up-conversion and then transmitted in a 433MHz frequency band; and S3, the terminal equipment monitors a channel at any time, demodulates the wake-up frame through envelope detection and intermediate frequency amplification, demodulates a data frame, and finally synchronously sends a wake-up signal and data obtained through demodulation to a post-stage circuit. According to the invention, by designing the wake-up sequence and manufacturing the wake-up circuit, asynchronous wake-up with ultra-low power consumption is realized for the Internet of Things terminal equipment.

The invention belongs to the technical field of automatic control, and particularly relates to an improved linear gain digital control method for a power supply system. The problems that a traditional fixed linear gain digital controller is poor in control precision, robustness, response speed and stability, prone to overshoot and oscillation, heavy in calculation burden, large in hardware consumption and the like in a complex dynamic environment and a nonlinear or strong coupling system are solved. According to the method, an operation state and environment parameters are obtained and processed, and system dynamic characteristics are intelligently evaluated; calculating an optimal control gain factor in combination with a gain scheduling rule or an adaptive learning model, and applying the optimal control gain factor to a linear digital controller for dynamic adjustment; and non-linear compensation processing is carried out on the adjusted control quantity, so that accurate closed-loop control is realized. The control precision can be obviously improved, the system response can be accelerated, the external interference suppression capability can be enhanced, the hardware dependence can be reduced, overshoot and oscillation can be eliminated, and high-precision, low-power-consumption and wide-adaptability digital control can be realized.

The embodiment of the application provides a screen projection method, electronic equipment, a storage medium and a program product, relates to the video projection and whole-house intelligent technical field, and can not need to connect the double-end equipment for projection to the same local area network, thereby reducing the limitation of projection, making the use scene of projection more flexible. The screen projection method comprises the following steps: in response to an operation of initiating projection, initiating low-power BLE Bluetooth broadcast search; obtaining a first data packet and a second data packet from the data of the BLE Bluetooth broadcast, the first data packet comprising first check information and encrypted information, and the second data packet comprising second check information and a key; decrypting the encrypted information according to the key; determining that the first data packet and the second data packet are associated projection information; displaying a projection device selection interface; in response to a selection operation on a projection target device option, establishing a wireless connection between the projection target device; and initiating video projection to the projection target device based on the wireless connection.

One or more systems, devices, and / or methods may address signal design for ultra-low power receivers. Transmitter and receiver architectures capable of generating signals and waveforms supporting the operation of ultra-low-power receivers and compatible with OFDM-based signals are disclosed. In some cases, there may be procedures that address one or more of the following: device detection of an on-off keying (OOK) modulated sequence with redundant bits corresponding to OFDM symbols' cyclic prefix; device detection of an OOK modulated sequence with dynamic bit duration corresponding to long and short OFDM symbols; device reception of an OOK modulated DCI / message with redundant bits corresponding to OFDM symbols' cyclic prefix; and / or, device reception of an OOK modulated DCI / message with dynamic bit duration corresponding to long and short OFDM symbols.

The invention provides an intelligent wire harness adaptive control method and system, and the method comprises the steps: S2, extracting a corresponding current range and a communication protocol from an output mode library according to an equipment type judgment result, and determining an initial output parameter; s4, executing the adjusted output parameters through a low-power-consumption communication module, obtaining equipment operation state data, and judging whether the real-time operation requirement is met or not; s6, after the pre-adjustment parameters are executed, equipment response data and energy consumption data are obtained, and whether system overload or power consumption exceeding exists or not is judged; s8, updating the equipment feature database and the output mode library according to the adjusted operation configuration, and obtaining updated collaborative performance indexes and energy consumption indexes; and S9, if the collaborative performance index and the energy consumption index do not reach the performance threshold, repeatedly executing the combined optimization process of the dynamic adjustment algorithm and the feature analysis algorithm. According to the invention, high-efficiency cooperation and energy consumption optimization of the wire harness and the intelligent equipment are realized.