652 results about "Fixed frequency" patented technology

The invention relates to a water quality real-time detection system which comprises the following modules: a multi-source sensing module which is based on a multi-parameter sensing array, adopts a self-adaptive sampling strategy, realizes sensor time sequence synchronization through a state estimation algorithm, completes water body multi-dimensional parameter acquisition in combination with a micro-fluidic chip, generates a multi-modal sensing data set, and transmits the multi-modal sensing data set to a data processing module; the multi-source sensing module comprises a multi-source sensing sub-module, a signal conditioning sub-module, a time sequence synchronization sub-module and an anomaly capture sub-module. The method has the advantages that through the synergistic effect of the adaptive sampling strategy and the state estimation algorithm, the multi-sensor time sequence synchronization precision is remarkably improved, the phase deviation problem caused by traditional fixed frequency sampling is effectively eliminated, the sliding window polynomial fitting is combined with the wavelet threshold de-noising technology, and the multi-sensor time sequence synchronization precision is improved. High-frequency noise interference is greatly suppressed on the premise that effective components of the signals are reserved, and meanwhile, the abnormal value detection accuracy is improved through a dynamic threshold mechanism.

The invention discloses a bearing fault diagnosis method based on multi-scale frequency sensing dynamic enhancement, and the method comprises the steps: collecting a vibration signal in a bearing operation state, carrying out the preprocessing of the vibration signal, obtaining a time-frequency matrix, and dividing the time-frequency matrix into a training set and a test set; building a multi-scale frequency network sensing model, inputting a time-frequency matrix in a training set into the model to realize extraction of multi-scale features, then performing pooling, time sequence compression, flattening and dimension reduction on the extracted multi-scale features, and then outputting fault category probability distribution through a classifier; and finally, testing the trained model by using a test set, and calculating evaluation indexes such as accuracy, a confusion matrix, an ROC curve and the like. The method has high accuracy while keeping light weight, breaks through double limitations of fixed frequency band and sensitive rotating speed of a traditional method, and can provide a high-precision and low-cost light-weight solution for engineering application of variable-rotating-speed mechanical fault diagnosis.

The invention is suitable for the technical field of 3D scanning, and provides a figure model 3D scanning and dynamic attitude capturing method and system, which dynamically triggers 3D scanning by monitoring joint movement intensity in real time, continuously collects continuous movement tracks by using an inertial sensor in a non-scanning period, and reversely deduces space-time parameters of a shielded part through multi-light-source shadow boundary evolution. And constructing a spatio-temporal joint evaluation function to adaptively adjust the scanning frequency and the sampling rate, and finally performing spatio-temporal alignment and confidence weighted fusion on the discrete point cloud, the continuous trajectory and the reverse reckoning data to generate a dynamic biomechanical model. The scheme breaks through the bottleneck of resource waste and blind area shielding of traditional fixed frequency scanning, realizes space-time complementation and precision optimization of motion monitoring, and is suitable for dynamic scenes such as movie and television animation, medical rehabilitation, physical training and the like. According to the system, through multi-modal data fusion and self-adaptive resource scheduling, the data integrity, the real-time performance and the biomechanical analysis capability are remarkably improved, and an efficient solution is provided for human motion digitization.

The invention relates to a reconfigurable dual-mode leaky-wave antenna with global scanning capability and a reconfiguration method, the leaky-wave antenna comprises a double-layer slow-wave waveguide structure formed by an upper metal conductor and a lower metal conductor, and the upper metal conductor and the lower metal conductor are separated by a dielectric substrate; the double-layer slow-wave waveguide structure comprises a plurality of periodic units, and a plurality of T-shaped structures with opposite directions are processed on upper and lower layers of metal conductors of each periodic unit to form a plurality of grooves; a variable capacitance diode is embedded into the tail end of a slot arm of the upper-layer metal conductor and is electrically connected with the lower-layer metal conductor through a metal via hole, and a closed loop is formed between the upper-layer metal conductor and the lower-layer metal conductor; a plurality of elliptical radiation patches are arranged at the top of a slot arm of the lower metal conductor at intervals and used for radiation leakage of the slow wave waveguide, and continuous frequency scanning covering 180 degrees is achieved; according to the invention, two modes of frequency scanning and fixed-frequency scanning are fused, 180-degree global scanning can be realized in any frequency reconfigurable interval, and beams can be flexibly reconstructed through multiple control strategies under a fixed-frequency condition.

The invention discloses an intelligent energy-saving control method for an air compression system based on data driving. The intelligent energy-saving control method is suitable for an industrial air compression station with multiple parallel units. According to the method, operating parameters of all air compressors and pressure and flow data of a header pipe are collected in real time, an energy efficiency model of the output flow and the gas-electricity ratio of all frequency converters is established, and the future flow requirement of the header pipe is dynamically predicted in combination with the characteristics of a fixed frequency machine. Based on a prediction result and a single-machine energy efficiency model, the basic load and the fluctuation load are distributed according to the overall energy efficiency optimization principle of the system, the start-stop sequence and the rotating speed of each unit are determined, and stable main pipe pressure, continuous gas supply, rapid response and good operation flexibility are achieved. By means of the method, the energy efficiency difference of all the units can be fully utilized, energy consumption fluctuation and equipment abrasion caused by frequent starting and stopping are reduced, and the overall energy utilization rate of the air compression system and the reliability of the industrial production process are improved.

The invention relates to the technical field of radio frequency, in particular to a radio frequency conversion assembly, and the assembly comprises a baseband processing unit which employs a millimeter wave SoC chip and is used for generating and processing an initial transmitting signal of 79-81GHz and an initial receiving signal of 79-81GHz; the frequency conversion unit comprises an up-conversion subunit and a down-conversion subunit, and the local oscillation synthesis unit is used for generating and providing a local oscillation signal with a fixed frequency; the mode switching and processing system is used for selectively performing down-conversion processing on the echo signal or a target radio frequency signal from an external non-cooperative irradiation source in two working modes and then transmitting the echo signal or the target radio frequency signal to the baseband processing unit; the working mode comprises an active mode and a passive mode.

The invention discloses a tire detection method and system, an electronic device and a storage medium. The tire detection method comprises the following steps: collecting measurement data of a tire pressure sensor; identifying a vehicle state using the measured data; adjusting the acquisition frequency of a tire pressure sensor and an awakening mechanism of a microcontroller according to the vehicle state; acquiring tire pressure data by using a tire pressure sensor under the acquisition frequency; and under the awakening mechanism, awakening the microcontroller, and sending the tire pressure data to a receiving end according to a preset sending frequency corresponding to the vehicle state by utilizing the microcontroller. According to the technical scheme, the technical problem that in the prior art, a tire pressure sensor depends on periodic sampling and fixed-frequency communication, and consequently a large amount of invalid power consumption is generated can be solved.

Embodiments of the present application provide an electronic device and its driving method, display driver, and processor, relating to the field of electronic technology. These devices are used to ensure that the actual screen refresh rate can promptly respond to the image refresh rate of a core processing chip, such as an upper-layer SOC. The electronic device includes a display driver IC (DDIC) and a system-on-chip (SOC). The display driver IC (DDIC) is used to transmit a time-of-flight (TE) signal. The TE signal has a first fixed frequency f1, where f1 is a common multiple of the multiple screen refresh frequencies f supported by the electronic device. For example, if the electronic device supports 60 Hz, 90 Hz, and 120 Hz, then f1 is 360 Hz. The SOC is used to receive the TE signal and output display data to the display driver IC at a variable frequency f2. Here, f1 = n * f2. Therefore, the pulse period of f1 is the first pulse period T1, and the pulse period of f2 is the second pulse period T2, where T2 = n * T1. n is the ratio of f1 to the current frame's f. The second pulse period T2 of the current frame f2 is always n times the first pulse period T1 of f1, meaning that display data is always transmitted once every n T1s. n varies with the screen f.

The invention provides a battery energy storage secondary frequency modulation control method and system based on dynamic participation factors and adaptive model predictive control, and the method comprises the following steps: S1, taking a frequency response model of a classical double-region interconnected power grid as a research object, and employing a fixed frequency and tie line power deviation control mode TBC to establish a fire storage combined frequency modulation equivalent model; wherein the thermal power generating unit participates in primary and secondary frequency modulation of a power grid, and the battery energy storage only participates in secondary frequency modulation; s2, adopting a double-layer judgment mechanism as a division basis of frequency modulation responsibility between battery energy storage and a thermal power generating unit; s3, taking the frequency modulation responsibility obtained by the dynamic energy storage participation factor as an optimization target, and utilizing an adaptive model to predict and control MPC to issue an instruction signal to enable energy storage to act in advance in frequency modulation control; and S4, formulating a frequency modulation control strategy considering SOC recovery according to the state interval of the regional control deviation signal ACE and the energy storage SOC. According to the method, the conflict between energy storage frequency modulation and SOC recovery is effectively relieved.

The invention discloses an online quality detection method and system for a stranded cable. The system comprises a data acquisition module, a data processing module and a quality detection module, relates to the technical field of cable quality detection, and solves the technical problem that the accuracy of cable quality detection in the wire drawing and stranding process is not high due to the fact that the acquisition frequency of a sensor is dynamically adjusted according to the movement speed of a stranded cable in the prior art. According to the invention, the movement speed of the wire rod is obtained in real time and the detection frequency is dynamically adjusted, so that the synchronous matching of the detection process and the production rhythm is ensured, and the problem of missing detection or repeated acquisition caused by traditional fixed frequency detection is avoided; the cable stranded wire is divided into a plurality of detection sections, and multi-dimensional data acquisition and analysis are performed in combination with an image recognition algorithm and a laser detection technology, so that the defect recognition precision and the detection efficiency are improved; and furthermore, the quality condition is comprehensively judged based on the defect area and the laser data, so that the accuracy of quality evaluation of the cable stranded wire is improved.

The invention discloses a signal reconnaissance, positioning and interference method based on deep learning, and belongs to the technical field of electronic countermeasures. The method comprises the following steps: deploying distributed reconnaissance nodes to obtain broadband electromagnetic signals; generating a spectrogram through time-frequency transformation, and identifying a fixed frequency / frequency hopping signal based on a deep learning model; fusing multi-node reconnaissance results to realize target situation awareness; the optimal positioning cluster is selected through dynamic networking, and the target position is calculated in combination with the arrival angle and time difference information; generating an optimal interference strategy based on the target situation and the position trajectory; networking cooperative interference is implemented; behavior parameters are collected in real time, the interference effect is evaluated through a machine learning model, and the strategy is dynamically adjusted. According to the method, the technical effects of high-efficiency and self-adaptive signal reconnaissance, positioning and interference in a complex electromagnetic environment are achieved.

A downhole tool system includes a bottom hole assembly that includes a connector; a laser head; a light source; a sensing assembly; and a controller. The connector is configured to couple to a downhole conveyance run into a wellbore to a reservoir rock formation. The laser head is configured to emit a laser beam toward the reservoir rock formation at a fixed frequency. The light source emitter is configured to emit a light beam toward the reservoir rock formation. The sensing assembly includes at least one optical receiver configured to (1) receive a reflected laser beam and a reflected light beam, and (2) interfere the reflected laser beam with the reflected light beam. The controller is configured to perform operations including generating a speckle interferogram based on the interference; and determining an angular displacement and an axial displacement of the wellbore based on the speckle interferogram.

The invention discloses a household electrical appliance fault diagnosis system based on artificial intelligence, and relates to the technical field of household electrical appliance fault diagnosis and state monitoring. Working condition parameters aligned with a time window are obtained through working condition sensing, and fault features and the working condition parameters are linked in an order form to be converted into a target frequency track; fault characterization is converted into track characterization capable of being continuously tracked along with working conditions from a fixed frequency point, and disturbance to fault positioning in the speed change process is reduced; in order to solve the problem that weak fault components are covered by the same frequency band due to strong dynamic background noise jointly formed by inverter switch harmonic waves, current harmonic waves and load fluctuation, a dynamic noise reference spectrum is output under the current working condition through a condition generation model, and a current spectrum and the dynamic noise reference spectrum form a residual spectrum; the background spectrum base related to the working condition is suppressed, and the separability of the weak fault component in the residual domain is improved from the source.

The invention relates to the technical field of refrigeration house unit control, in particular to a frequency conversion-fixed frequency refrigeration house unit control method based on cooperative control. The method comprises the following steps: establishing a control basis through system initialization and parameter setting, acquiring multi-dimensional data such as temperature in a library, compressor current and door state, and packaging the multi-dimensional data into a system real-time state data packet; performing verification filtering processing on the acquired data to generate a filtering temperature value and a safety state identifier; the real-time temperature difference and the change trend are analyzed based on the temperature data, the load state is determined through a load evaluation model, an inverter compressor independent operation mode or a variable frequency-fixed frequency compressor cooperative operation mode is intelligently selected, and operation parameters are dynamically optimized; and corresponding energy-saving and protection strategies including condensation fan adjustment, heat recovery management, door state linkage control and time-of-use electricity price response are executed according to the operation mode. According to the control method, the defects of a traditional control method in the aspects of energy efficiency and stability are overcome, and intelligent management and energy-saving optimization of the refrigeration house unit are achieved.

The invention discloses a robot remote adaptive data acquisition control system and method based on dynamic value evaluation. According to the system, dynamic information value factors of data points are calculated in real time through a local processing unit of the robot, and the factors integrate the data change rate, the uncertainty, the task context and the abnormal probability. Based on the factor, the system dynamically adjusts the sampling frequency, the compression strategy and the transmission priority. The remote center is responsible for data reconstruction and fusion and utilizes machine learning closed-loop optimization to acquire parameters. According to the invention, the problems of resource waste and key information acquisition omission caused by fixed frequency sampling are solved, and the optimal balance of data acquisition efficiency and quality under a limited bandwidth is realized.

The invention discloses an implementation method and device of a digital fixed-frequency three-phase phase-locked loop and a medium, and is applied to a digital controller, and the method comprises the steps: carrying out the multiplication of a three-phase sine input signal obtained through sampling with two paths of orthogonal signals outputted by a fixed-frequency signal generator, and obtaining a three-phase sine input signal; obtaining two paths of output signals respectively corresponding to each phase of sine input signal; respectively carrying out sliding average filtering on the two paths of output signals corresponding to each phase of sine input signal to obtain two paths of corresponding filtering signals; for each phase of sine input signal, performing complex number synthesis on two paths of filtering signals corresponding to the sine input signal to obtain a synthesized complex number signal, and performing complex number calculation on three complex number signals corresponding to the three-phase sine input signal to obtain a positive sequence complex number signal and a negative sequence complex number signal; according to the positive sequence complex signal and the negative sequence complex signal, a positive sequence phase and a negative sequence phase are obtained, and phase locking of the three-phase sine input signal is achieved.

The invention provides a torsion metasurface frequency reconfigurable holographic method and device based on dispersion regulation and control, and belongs to the field of optical imaging. The problem that an existing mechanical rotary cascade metasurface mainly works at a single fixed frequency and lacks a cross-spectrum function switching capability is solved. The method comprises the following steps: constructing a cascaded double-layer metasurface system which comprises a radiation type metasurface and a pure phase metasurface; the relative torsion angle between the pure phase metasurface and the radiation type metasurface is changed by rotating the pure phase metasurface in a plane, so that the phase distribution of the pure phase metasurface interacts with the output wavefront of the radiation type metasurface; according to the dispersion characteristics of the target holographic image in the three-dimensional space position and frequency, the phase distribution of the radiation type metasurface and the pure phase metasurface is collaboratively optimized through a reverse design frame, and the dynamic switching of the holograms is realized. The method is mainly used in the fields of near-field calculation imaging / detection, high-speed large-data-capacity near-field wireless communication and the like.

The invention discloses a multi-port DAB energy storage system directly connected with an elevator frequency converter bus and a cooperative control method of the multi-port DAB energy storage system, and is suitable for an elevator frequency converter direct-current bus direct-connection scene. Aiming at the defects in the aspects of elevator bus transient support, multi-branch extension and parallel operation safety access in the prior art, at least two DAB power branches are adopted, the low-voltage sides of the DAB power branches are connected into the same low-voltage direct-current source in parallel to realize current expansion, and the high-voltage sides of the DAB power branches are connected to a VFD direct-current bus through a parallel operation access switch to realize voltage expansion after being connected in series and laminated; the controller adopts fixed frequency phase shift control, and combines a two-line parallel operation or power-off time sequence and a zero-crossing residence strategy; through multi-branch phase interleaving, mutual exclusion amplitude limiting constraint, ZVS guarantee and a fault striding linkage mechanism, branch power balance, circulating current suppression and bus stable support are realized. According to the invention, the millisecond voltage of the bus can be efficiently suppressed, the response speed, the operation efficiency and the reliability of the system are improved, and the core requirements of elevator bus energy recovery and transient stability control are met.

The invention relates to the technical field of switching power supply analog control, in particular to a control method and system for a small-duty-ratio BOOST module based on digital control, and the method comprises the following steps: S1, carrying out the sampling of the equal-proportion reduced output voltage of an operational amplifier through an ADC analog-to-digital converter, processing the sampled voltage value through a filtering algorithm to obtain an output voltage VO; and S2, carrying out calculation processing on the output voltage VO through a PID control algorithm, and obtaining an expected output voltage through a fixed-frequency adjustment duty ratio PWM and a fixed-duty ratio frequency modulation PFM. Efficient and stable voltage boosting is achieved through double-closed-loop digital control, dynamic response and anti-interference capacity are achieved, the core lies in collaborative design of power conversion and a control strategy, input direct-current voltage is boosted to higher stable output voltage, a double-closed-loop (voltage loop + current loop) control strategy is adopted, and the voltage boosting effect is achieved. And closed-loop adjustment is realized by combining PWM driving and ADC sampling.

The invention relates to the technical field of power equipment state detection, in particular to a transformer winding state detection method, system and equipment based on dynamic frequency band adaptation and a storage medium. Collecting full-band frequency response data of the healthy reference winding, and performing adaptive adjustment on a preset basic frequency band based on the peak-valley distribution density to obtain a reference target frequency band matched with the frequency spectrum characteristics of the winding; generating a reference polar coordinate feature map through a phase-amplitude mapping rule, and extracting pattern texture features to construct a reference feature library; collecting detected winding data and taking the reference target frequency band as a detection frequency band to generate a detected polar coordinate feature map; a multi-dimensional evaluation result is obtained through graph space similarity comparison and feature difference quantification in combination with amplitude anomaly recognition; and outputting a normal, slight fault or serious fault state judgment result of the tested winding based on the preset evaluation threshold interval and the working condition adaptation correction rule. The problems that in the prior art, frequency band division is fixed, and threshold values lack working condition adaptation are solved.

A fabricated building construction monitoring method belongs to the technical field of buildings, and comprises the following steps: comparing temperature and humidity, wind speed and displacement values with preset thresholds, judging whether to calculate the reading fluctuation amplitude of a strain sensor, generating a sensitivity calibration value when the reading fluctuation amplitude exceeds a reference range, and calculating the temperature and humidity change rate based on the scanning of the coordinates of a key bearing member. And optimizing a transmission interval according to a standard rate threshold value, analyzing a construction stage coding reconstruction pressure threshold value interval, and generating a positioning early warning alarm instruction by integrating a dynamic pressure threshold value, a key area identifier, a connection node stress value, a wind speed value and a displacement value. The method has the advantages that data are read in real time and compared with a preset threshold value, whether high-frequency sampling is started or not is judged, a refined monitoring mechanism is triggered according to environmental conditions, strain data fluctuation can be captured in time in adverse environments such as high temperature and low humidity, and missing detection of abnormal working conditions caused by conventional fixed-frequency monitoring is avoided.

The invention relates to the technical field of refrigeration air conditioners and automatic control, in particular to a fixed frequency compressor group control energy regulation system based on outdoor temperature and humidity coupling, which comprises a data acquisition unit, a reheating demand judgment unit and an anti-icing protection control unit, a data acquisition unit acquires outdoor temperature and humidity coupling data and return air temperature data of all compressors through an outdoor temperature and humidity sensor and a return air temperature sensor, and a reheating demand judgment unit implements temperature feedforward control based on outdoor temperature and humidity and sets an adjustable limit level to constrain the input proportion of the compressors. When the compressors are fully input and the humidity exceeds the standard, the moisture content of indoor, target and outdoor air is calculated, the reheating requirement is judged by combining the transient temperature when the integral speed of the cooling and dehumidification PID controller and the adjustable limiting level and the floating gear are adjusted according to the moisture content, and the anti-icing protection control unit periodically monitors the return air temperature and takes measures. The problems that temperature and humidity control of a traditional system is not coordinated, and anti-icing protection is not accurate are solved.

The invention relates to the technical field of diaphragm pump aging test, and discloses a two-parameter intelligent closed-loop diaphragm pump aging test system and method. According to the method, a temperature spectrum and a vibration spectrum are obtained through fast Fourier transform, a frequency domain coherence coefficient is calculated to identify temperature-vibration coupling characteristics, a resonance frequency band and a drift trend thereof are identified in real time by adopting a spectrum peak tracking algorithm, and a multi-objective optimization function considering aging acceleration efficiency and resonance risk is constructed. And solving the optimal temperature stress amplitude and vibration stress frequency by using a particle swarm algorithm, generating a stress loading instruction avoiding a resonance area through a self-adaptive PID controller, and dynamically updating model parameters based on a closed-loop feedback mechanism. According to the invention, the problem of resonance effect amplification caused by traditional fixed frequency stress loading is solved, and refined adaptive stress control is realized.

The invention discloses a power system frequency response characteristic parameter measurement method and a related device, and the method builds a parameter inversion method based on a frequency dynamic response characteristic by actively injecting power disturbance of a set frequency into a grid-connected point of a power system and combining the high-precision extraction of a system frequency variation. The equivalent inertia and the equivalent damping of the system can be quantitatively calculated; the injected disturbance signal has a fixed frequency and a settable amplitude, so that high-precision measurement can be realized in a normal operation state, a large disturbance event or environmental noise depending on a system is avoided, and good experimental repeatability and engineering adaptability are achieved; compared with an off-line evaluation method depending on fault disturbance, response testing and parameter estimation of the system in a non-fault state are achieved through active disturbance, the potential of online and periodic measurement and supporting capacity dynamic updating is achieved, and efficient technical support is provided for new energy field station grid-connected evaluation and dispatching access assessment.

The invention provides a force direction feedback system and method of pneumatic pressure. The system generates a first oscillation signal changing along with air pressure and a second oscillation signal with fixed frequency through a signal conversion module; and the counter counts the cycles of the two paths of oscillation signals. The back noise calibration module samples environment back noise by using a second oscillation signal in a frequency division manner, and eliminates back noise interference in a force count value through a subtractor, so that the problem of detection deviation caused by environment air pressure fluctuation is solved; and the dual-threshold comparison module screens the difference signal through a back noise threshold and an anti-shake threshold, generates a force conversion value, and avoids error output caused by slight fluctuation and shake. The differential operation module processes the force conversion value in combination with the second oscillation signal, the accurate pneumatic force value is output through signal correlation, the pneumatic direction can be distinguished by means of comparison with the fixed reference, and finally accurate and stable feedback of the pneumatic pressure force and direction is achieved.

The invention discloses a mobile robot tracking method and device based on a fixed-frequency light source, and the method comprises the following steps: S1, a target person wears a fixed-frequency light source device, so as to emit a fixed-frequency light signal as a target light source; s2, the mobile robot collects an ambient light signal through a carried photoelectric sensor, locks a target light source signal through an adaptive band-pass filter, tracks a phase in real time through a digital phase-locked loop, suppresses non-target frequency noise and interference, and can detect a fixed frequency light signal from strong ambient light interference; and S3, when the fixed-frequency optical signal is successfully identified, the mobile robot starts a tracking mode to ensure that a certain distance and position are kept between the mobile robot and the target person, and a corresponding task is executed. According to the invention, the tracking precision problem in various difficult environments is solved, and the robot can stably and accurately track the specified target.

The invention discloses an electrically-controlled beam scanning leaky-wave antenna and communication equipment, belongs to the technical field of antennas, and is used for solving the problems that an existing antenna is complex in structure and the beam scanning angle is limited under a fixed frequency. The electrically controlled beam scanning leaky-wave antenna comprises a gap waveguide and a plurality of radiation units. The gap waveguide comprises a cover plate and a metal bottom plate which are oppositely arranged, and a ridge structure arranged on the upper surface of the metal bottom plate in the transmission direction of the electromagnetic waves, and the gap waveguide is used for transmitting the electromagnetic waves in a traveling wave mode; the plurality of radiation units are sequentially arranged on the cover plate along the extension direction of the ridge structure; each radiation unit comprises a radiation patch, two radiation slots and two electric control switches which are sequentially arranged from top to bottom, and the radiation slots and the electric control switches are distributed in a central symmetry manner relative to the radiation patch; and each electric control switch is used for controlling the working state of the corresponding radiation slot so as to regulate and control the radiation phase of the radiation unit and realize beam scanning.

The invention provides a double-MCU (Microprogrammed Control Unit) hot backup control method based on an FPGA (Field Programmable Gate Array), and relates to the technical field of power supply system control. Comprising the following steps: acquiring fixed frequency self-checking PWM signals output by a main MCU and a standby MCU in real time by using an FPGA; measuring the frequency and the period of the fixed frequency self-checking PWM signal by using an FPGA internal counter to obtain a real-time frequency value, and comparing the real-time frequency value with a preset frequency threshold to obtain a frequency deviation; whether the frequency deviation is larger than a deviation threshold value or not is judged, if not, the main MCU and the standby MCU do not have faults, and if yes, deviation period monitoring is carried out, a monitoring result is obtained, and a fault signal is output according to the monitoring result; determining a fault type according to the fault signal; and determining an output signal according to the fault type and the input signal. According to the invention, the problems of single-point fault, poor information transmission real-time performance and low control logic accuracy of the double-MCU hot backup control system in the prior art are solved.

The utility model relates to a signal generation device, an analog-digital hybrid test board card and a test machine, a read-write control module reads an original waveform from a storage device according to a received read request instruction, and returns the read original waveform to an arbitrary waveform generator; the arbitrary waveform generator receives the original waveform and outputs a reconstructed waveform matched with the frequency of a sampling clock of the digital-to-analog conversion device to the first communication module. And the second communication module is connected with the first communication module, and the reconstructed waveform is received by the second communication module and then is transmitted to the digital-to-analog conversion device. According to the technical scheme, the reconstructed waveform can be generated by resampling the original waveform, the external clock chip outputs the sampling clock with the fixed frequency to the digital-to-analog conversion device, digital-to-analog conversion can be completed, the external clock chip does not need to adjust the frequency of the sampling clock, the hardware requirement for the external clock chip and the digital-to-analog conversion device is low, and the design cost is reduced.

The invention relates to the technical field of data acquisition, and discloses a low-power-consumption edge calculation outdoor energy storage power supply data acquisition system, which comprises a data analysis unit, a collaborative analysis unit, a probability analysis unit and an acquisition correction unit, and is characterized in that the data analysis unit, the collaborative analysis unit, the probability analysis unit and the acquisition correction unit are combined for analysis; intelligent dynamic regulation and control of outdoor energy storage power supply data acquisition are realized, the defect of data delay under low temperature and high load in a traditional fixed frequency acquisition mode is overcome, the data acquisition effect is ensured, low power consumption is ensured, meanwhile, the real-time recognition capability of hidden dangers such as over-discharge and internal resistance abnormity is improved, and the real-time recognition capability of the hidden dangers such as over-discharge and internal resistance abnormity is improved. And the cycle service life of the battery is effectively prolonged.