66 results about "Energy estimation" patented technology

The invention provides an anti-interference sound signal data extraction method based on energy data perception, and belongs to the technical field of underwater sound signal processing, and the method comprises the steps: carrying out the A / D sampling and digital orthogonal demodulation of a received sound signal, and obtaining a baseband signal; performing low-pass filtering and downsampling on the baseband signal to obtain a preprocessed signal; performing matched filtering on the pre-processed signal by using a reference signal; the key improvement lies in that a local energy estimation function of a preprocessed signal is calculated, and normalization processing is carried out on a matched filtering result and the energy estimation function to obtain a normalized detection signal. The method effectively suppresses the shielding effect of a strong interference signal on a weak target signal under a non-orthogonal reference signal and a strong near-end and weak far-end scene, remarkably reduces the misrecognition probability, and improves the accuracy and reliability of the extraction of a long-distance and low-signal-to-noise-ratio target beacon signal in a complex underwater acoustic environment. The method is suitable for underwater navigation, positioning and communication systems.

The invention provides a sparse covariance reconstruction and adaptive grid correction-based DOA (Direction of Arrival) estimation method, and belongs to the technical field of ocean observation. According to the method, snapshot-level signal reconstruction is changed into covariance-level sparse modeling, an alternating optimization strategy is introduced to carry out energy estimation, a Sherman-Morrison matrix lemma is fused to accurately update a covariance inverse matrix, and an adaptive grid continuous correction mechanism is introduced. According to the method, a staged optimization framework is constructed, sparsity and geometric interpretability are fused, DOA estimation precision can be remarkably improved, off-grid error limitation is broken through, robustness under low signal-to-noise ratio and signal correlation is improved, algorithm calculation complexity is remarkably reduced, real-time processing capacity is improved, and the method is suitable for an underwater complex propagation environment.

To provide a method and system for monitoring the noise of a charge post, and a readable medium.SOLUTION: A method for monitoring noise of a charge post including use, for a sound noise monitoring system, of a 3D ball array consisting of a plurality of microphones, comprises the steps of: obtaining respectively detected noise data including sound pressure signals measured by the plurality of microphones; obtaining an initial noise signal; obtaining a noise signal having a target analysis frequency; uniformly classifying a scanning area into some discrete scanning grid points; obtaining a vector constituted of beam formation energy estimation values at all scanning grid points; creating an energy transfer model; and calculating a high resolution sound source energy distribution of a charge post to be measured in the energy transfer model.SELECTED DRAWING: Figure 1

The invention discloses a retired power battery sorting method considering battery aging state distribution imbalance. The method comprises the following steps: 1, measuring and recording end voltage of a retired battery by using voltage measuring equipment; 2, randomly extracting a part of data of the current batch of retired power batteries as a battery for testing; 3, performing a test experiment on the tested battery based on the design step, and collecting and storing data; 4, performing data cleaning and preprocessing on the test data, and then executing designed adaptive feature engineering; and 5, pre-training the complementary energy estimation model embedded with the feature distribution smoothing module by using the output in the previous step. And 6, repeating the steps 3-4 on the remaining batteries, and deploying a pre-training model to execute complementary energy estimation. According to the method, errors caused by unbalanced aging distribution can be overcome, so that the time cost and the energy consumption cost of retired battery sorting work are reduced on the premise of ensuring the sorting accuracy.

Technologies and techniques for estimating the ground state energy of a quantum chemical system. The method includes classically computing states close to the ground state of the quantum chemical system, assessing the quality of the classically computed states based on their energy distribution, selecting a state based on the assessment result, implementing the selected state on a quantum computer, and estimating the ground state energy of the quantum chemical system on the quantum computer based on the implemented state. The disclosure also encompasses various technologies and techniques for preparing a quantum state for quantum energy estimation on a quantum chemical system and a system for performing these methods.

The invention relates to a method for estimating a ground state energy (10) of a quantum chemical system, the method comprising: classically computing states (4) close to the ground state of the quantum chemical system, assessing the quality of the classically computed states (4) based on the energy distribution of each state (4), selecting a state (4) based on the assessment result, implementing the selected state (5) on a quantum computer (3), and estimating the ground state energy (10) of the quantum chemical system on the quantum computer based on the implemented state (5). Further, the invention relates various methods for preparing a quantum state (4,5) for quantum energy estimation on a quantum chemical system and to a system (1).

The invention discloses a rolling bearing fault diagnosis method based on time-frequency fusion and a double-branch deep network, and relates to the technical field of mechanical equipment state monitoring and fault diagnosis, and the method comprises the steps: carrying out the time-frequency joint representation of VMD and Multi-taper PSD on a single-channel vibration signal, rearranging the signal into a fixed-size gray matrix according to a time sequence, and carrying out the fault diagnosis of the single-channel vibration signal; a time sequence is reserved, and stable spectrum energy estimation is obtained; parallel double branches are constructed on network modeling; hierarchical window self-attention modeling is carried out on a frequency domain branch, and long-time-history dependence and key moment attention are enhanced by a time domain branch through TCN-CBAM; an XPAF module is introduced, pairwise cross attention is taken as a core, priori bias B and a directional mixed structure are combined, feature alignment and a residual path are matched, and time-frequency information consistency and efficient information flow are ensured. According to the method, the separability of weak faults and the robustness under noise / variable working conditions are remarkably improved, and the method is suitable for online monitoring and intelligent diagnosis of rotating machines such as bearings.

The invention provides a radar wave intensity measurement method and system based on multistage filtering amplification, and the method comprises the steps: carrying out the preprocessing of a radar echo signal, and obtaining a preprocessing signal through time domain wavelet packet decomposition and spatial domain wave beam forming collaborative optimization; performing intelligent dynamic gain reconstruction on the preprocessed signal to obtain a gain adjustment signal; performing nonlinear harmonic tracking compensation on the gain adjustment signal to obtain a compensation calibration signal; and performing dynamic threshold intensity extraction on the compensation calibration signal to obtain a final measurement result. According to the method, an environment factor-attenuation compensation mapping relation is established through a support vector regression model, and a dynamic environment compensation coefficient is generated; in combination with wavelet packet multi-scale energy integration and signal-to-noise ratio dynamic weighting, space attenuation is corrected in nonlinear harmonic tracking compensation, and an adaptive threshold and energy estimation are optimized in dynamic threshold intensity extraction; and finally, through Kalman filtering post-processing and spectrum purity monitoring closed-loop verification, the system can perform high-precision measurement in a dynamic environment.

The application discloses a kind of determination methods of maximum take-off weight and battery weight of electric aircraft, wherein the maximum take-off weight determination method of electric aircraft includes: establishing the maximum take-off weight equation of electric aircraft;Solving the maximum take-off weight equation of electric aircraft, obtain the maximum take-off weight of electric aircraft.The determination method of the battery weight of electric aircraft includes: determining the maximum take-off weight of electric aircraft;Maximum take-off weight is used to calculate the battery weight of electric aircraft.The determination method of the maximum take-off weight and battery weight of electric aircraft, the energy consumed by aircraft mission profile is used to estimate the battery weight, the estimation result is more accurate, the reliability is higher, the calculation process is simpler, and the calculation parameter is more simplified.

The invention relates to the technical field of energy consumption management, and discloses a method and a system for determining environmental economy coordination degree based on a coupling model, which comprises the following steps of: constructing a de-jitter filtering link around a working condition set for boundary diffusion and sample mismatching which are easily caused by global smoothing and single-scale alignment, generating a window table by using an energy estimation vector and a comparison vector, and determining the environmental economy coordination degree according to the window table. Edge-preserving filtering is performed on a coding amplitude sequence to obtain a smooth set consistent with a working condition set, so that start-stop and load switching neighborhood oscillation convergence, boundary transition maintenance, fragment variance reduction, low-noise input of a short window table and a sample matrix and coordination vector fluctuation reduction are realized, and an alignment table is generated by joint modeling of an alignment scale and a hierarchical index; the minimum cost is executed under hierarchical recording, abnormal index rejection is combined to obtain a delay vector, window-by-window release is performed according to a stable Boolean sequence, and only a coordination vector with controlled delay and stable coupling is output, so that three-channel sampling delay is inhibited, and coordination degree short-window stable output is realized.

The invention relates to a cross positioning method based on energy fusion and density clustering. The cross positioning method comprises the following steps of 1, obtaining an array receiving signal and generating a one-dimensional azimuth energy estimation spectrum; 2, performing grid division on the region of interest, and inverting the one-dimensional azimuth energy estimation spectrum of each array to a two-dimensional grid region in combination with propagation loss; step 3, fusing the two-dimensional energy spectrums of the arrays obtained in the step 2 to obtain a multi-array fusion energy spectrum on the two-dimensional grid region; according to the method, the one-dimensional azimuth energy estimation spectrum generated by the multi-array receiving signals is combined with the signal propagation loss model to be inversed to the two-dimensional grid area, the two-dimensional energy spectrum of each array is formed, the two-dimensional fusion energy spectrum is generated by adopting the fusion strategy, the target signal features are remarkably enhanced, noise interference is restrained, and the method is suitable for large-scale popularization and application. According to the invention, false target points in cross positioning are effectively reduced, positioning precision and reliability are improved, automatic processing is realized, and dependence on manual intervention is reduced.

The present invention provides a system for energy estimation in batteries, comprising a battery set-up module configured to define a configuration of one or more batteries. The system has a state-of-charge (SOC) estimation module that comprises a calculation module configured to obtain battery specifications and compute system parameters, a graph plotting module configured to generate voltage-energy graph at pre-defined load conditions, and an estimation module configured to determine SOC and runtime values based on discharge voltage and voltage-energy graphs. It also has an analysis module configured to uninterruptedly monitor and analyze battery voltage, SOC, and runtime, a notification module configured to initiate warnings when the monitored voltage SOC and runtime approach predetermined thresholds, and a shut-down module to enable a safe shutdown and backup operation.

The invention relates to the technical field of detectors, and discloses a muon momentum reconstruction method based on particle tracks, which comprises the following steps of: 1, researching and developing an efficient energy detector, and processing position information of muons by adopting Kalman filtering and a REST framework in a gas time projection chamber so as to improve the energy measurement accuracy; 2, introducing a dynamic energy measurement algorithm, developing a self-adaptive algorithm, adjusting energy measurement parameters according to real-time feedback, optimizing muon energy estimation by using Kalman filtering, and reducing background noise influence at the same time; 3, realizing multi-detector array integration, designing a multi-detector array with reasonable layout, ensuring synchronous data acquisition, and enhancing the reliability of a measurement result by using cross validation; 4, data analysis is conducted through the machine learning technology, and a machine learning model is constructed and trained. According to the method, the energy of incident muons is estimated through Kalman filtering, the energy of the muons is screened when the muon scattering imaging technology is applied, and the imaging precision is improved.

The invention discloses a far-field accidental sound source positioning method, system, medium and equipment, and the method comprises the steps: collecting an audio signal through a sensor, and carrying out the preprocessing of the audio signal, and obtaining a preprocessing signal; performing multi-band energy analysis to calculate short-time energy of each band, updating background energy estimation, and dynamically adjusting a detection threshold value; meanwhile, the processed audio features and real-time environment features are fused into multi-modal features, the multi-modal features are input into an accidental event detector for detection statistic calculation, and when the detection statistic reaches a self-adaptive threshold value, an accidental event detection stage is entered: a time window containing an accidental event in the preprocessed signal is determined, extended interception is carried out, and a time window containing the accidental event is obtained; the signals of the sensors in the corresponding time periods are extracted; fast TDOA estimation is carried out, abnormal estimation values are eliminated, and an estimation result is obtained; calculating the three-dimensional coordinates of the sound source by combining the position of the sensor; and calculating positioning confidence evaluation to obtain an effective positioning result. According to the invention, adaptive sound source localization of a complex urban environment is realized.

The present invention provides a DOA estimation method with sparse covariance reconstruction and adaptive grid correction, which belongs to the field of marine observation technology. The present invention shifts from snapshot-level signal reconstruction to covariance-level sparse modeling, introduces an alternating optimization strategy for energy estimation, integrates the Sherman-Morrison matrix lemma to accurately update the inverse covariance matrix, and introduces an adaptive grid continuous correction mechanism. The present invention constructs a phased optimization framework that integrates sparsity and geometric interpretability, can significantly improve the accuracy of DOA estimation, break through the off-grid error limit, improve robustness under low signal-to-noise ratio and signal correlation, significantly reduce the algorithm computational complexity, improve real-time processing capabilities, and is suitable for complex underwater propagation environments.

The present disclosure provides systems, methods, and apparatus for preventing transmit power violations in a radio unit (RU) of a decomposed base station. For example, when a distributed unit (DU) provides frequency domain samples to the RU, the DU may set a reference input level that causes the RU to scale the gain lineup to avoid saturation or sensitivity issues in the signal processing chain while ramping up to the desired transmit power. Therefore, to avoid signal saturation or clipping at the RU, the RU may monitor energy estimation measurements and take remedial action when a transmit power violation occurs. For example, in the event that the energy estimation measurement fails to meet one or more thresholds, the RU may provide one or more system alarms to the DU or prevent transmission over the air interface.

The invention discloses a carrier rocket guidance energy management method and a carrier rocket guidance energy management system. The carrier rocket guidance energy management method comprises the following steps: constructing an energy management model; and after the construction of the energy management model is completed, the maximum attitude adjustment angle is determined. According to the carrier rocket guidance energy management provided by the invention, online real-time energy estimation is adopted, and the precision of carrier rocket energy management is improved. The sine curve is adopted to plan the program angle of the energy dissipation stage, the curve is smooth, segmented management is reduced, attitude control is facilitated, the expression is simple and clear, and energy management guidance design is facilitated. Meanwhile, the energy management curve can be analyzed, the integral area can be directly calculated, integral determination is convenient, and the capability management design work is effectively improved.

An energy consumption estimation device is provided for estimating energy consumption of a vehicle that travels on a road surface. The energy consumption estimation device includes a water information acquisition unit configured to acquire water-related information on a water-related substance on the road surface, and an energy estimation unit configured to estimate the energy consumption of the vehicle that travels on the road surface based on the water-related information acquired by the water information acquisition unit.

An energy estimation apparatus includes a probability setting unit, a vehicle speed pattern estimation unit, a traveling load estimation unit, and an energy estimation unit. The probability setting unit sets a vehicle speed probability that is a probability of a vehicle reaching a certain vehicle speed on a traveling route that is specified by traveling route information. The vehicle speed pattern estimation unit estimates a vehicle speed variation pattern of the vehicle on the traveling route based on the traveling route information and the vehicle speed probability. The traveling load estimation unit estimates traveling load characteristics of the vehicle on the traveling route. The energy estimation unit estimates energy required for traveling of the vehicle using the traveling load characteristics and the vehicle speed variation pattern.

The application provides an anti-interference acoustic signal data extraction method based on energy data sensing, and belongs to the technical field of underwater acoustic signal processing. The method comprises the following steps: A / D sampling and digital quadrature demodulation are performed on a received acoustic signal to obtain a baseband signal; low-pass filtering and down-sampling are performed on the baseband signal to obtain a pretreated signal; the pretreated signal is matched filtered by using a reference signal; a key improvement lies in that a local energy estimation function of the pretreated signal is calculated, and the matched filtering result is normalized with the energy estimation function to obtain a normalized detection signal. Through energy sensing normalization, the application effectively suppresses the shielding effect of strong interference signals on weak target signals due to non-quadrature reference signals and the "near-end strong and far-end weak" scene, significantly reduces the false recognition probability, and improves the accuracy and reliability of extracting a long-distance and low signal-to-noise ratio target beacon signal in a complex underwater acoustic environment. The application is suitable for underwater navigation, positioning and communication systems.

The invention discloses a digital automatic gain control structure in a power line carrier communication receiving process, relates to the technical field of power line carrier communication, solves the technical problem that narrowband interference has a great influence on accurate evaluation of signal energy, and the key points of the technical solution are to realize rapid adjustment of large signal saturation and accurate counting and analysis of pulse interference through an energy saturation preprocessing unit; to realize detection and suppression of narrowband interference signals in and out of the band through a narrowband interference detection and suppression unit, thereby improving the accuracy of effective signal energy estimation; to realize rapid convergence of a power line carrier signal with continuously changing amplitude through an exponential sliding averager, thereby effectively reducing the jitter of gain adjustment.

The invention provides a combustor regeneration temperature control method and device based on energy estimation, and relates to engines, and the method comprises the steps that operation data are obtained, the operation data are input into a heat dynamic model, and particulate matter accumulation prediction data are obtained; and when the particulate matter accumulation prediction data is higher than the first particulate matter accumulation threshold value and lower than the second particulate matter accumulation threshold value, a passive regeneration method is selected to be adopted. And when the particulate matter accumulation prediction data is higher than a second particulate matter accumulation threshold value, an active regeneration method is selected and adopted, the active regeneration method calculates a first heat difference according to the operation data and the particulate matter accumulation prediction data, and then a PID controller conducts multi-stage control on the combustor according to the first heat difference. And when the particulate matter accumulation prediction data is reduced to be lower than the first particulate matter accumulation threshold value again, the active regeneration process or the passive regeneration process is stopped. And through particulate matter accumulation data prediction and multi-stage precise heat PID control, the combustion process of the DPF regeneration temperature is optimized, and the energy utilization efficiency is improved.

The invention discloses an electro-hydrogen system optimization regulation and control method and system based on system energy efficiency characteristic modeling, a medium, equipment and a product in the technical field of power system operation and intelligent control. The method comprises the following steps: according to energy efficiency characteristics of a target electricity hydrogen system, constructing an electricity hydrogen system nonlinear physical energy efficiency model, and according to the electricity hydrogen system nonlinear physical energy efficiency model, constructing an electricity hydrogen system optimization scheduling model taking the minimum daily operation total net cost of the electricity hydrogen system as a target function; and according to the real-time operation data of the electro-hydrogen system, solving the electro-hydrogen system optimization scheduling model by adopting a nonlinear programming algorithm to obtain an optimal power distribution instruction. According to the method, the energy efficiency characteristics of the electrolytic cell in the medium-low load interval can be accurately identified, the energy estimation deviation caused by a traditional fixed efficiency model is effectively avoided, and the economic benefit of a wind-hydrogen system is remarkably improved.

The invention discloses a method for determining the maximum takeoff weight and the battery weight of an electric aircraft, and the method comprises the steps: building a maximum takeoff weight equation of the electric aircraft; and solving the maximum takeoff weight equation of the electric aircraft to obtain the maximum takeoff weight of the electric aircraft. The method for determining the weight of the battery of the electric aircraft comprises the following steps: determining the maximum takeoff weight of the electric aircraft; and calculating the battery weight of the electric aircraft by using the maximum takeoff weight of the electric aircraft. According to the method for determining the maximum takeoff weight and the battery weight of the electric aircraft, the battery weight is estimated by utilizing the energy consumed by the mission profile of the aircraft, the estimation result is more accurate, the credibility is higher, the calculation process is simpler, and calculation parameters are more simplified.

To provide systems, methods and programs to facilitate estimation of an expected energy value of a Hamiltonian based on data of the Hamiltonian.SOLUTION: A system 200 in which a quantum state is produced by a quantum device and / or entangled measurements includes an expected energy estimation system 102. The expected energy estimation system comprise a memory that stores computer-executable components, and a processor that executes the computer-executable components stored in the memory. The computer executable components include: a selection component that selects a quantum state measurement basis having a probability defined on the basis of a ratio of a Pauli operator in a Hamiltonian of a quantum system; and a measurement component that captures quantum state measurement of a qubit in the quantum system on the basis of the quantum state measurement basis.SELECTED DRAWING: Figure 2

The invention relates to an energy estimation system and method for an openBMC-based firmware stack. Embodiments of the present disclosure provide an energy estimation system and method for an openBMC-based firmware stack that empirically determines a power load offset value that can be applied to a BMC executing the openBMC-based firmware stack to enable an IHS to run more efficiently. According to one embodiment, an information handling system (IHS) includes a baseboard management controller (BMC) including firmware to apply a power load offset value to adjust a speed of one or more fans configured on a target IHS when an openBMC-based firmware stack is executed on the BMC, and to apply a power load offset value to adjust a speed of one or more fans configured on the target IHS when a standard firmware stack is executed on the BMC. The power load offset value is applied to adjust the speed of the fan without applying the power load offset value.

The invention provides a network intrusion detection method and system based on log auditing, and relates to the technical field of network security, and the method comprises the steps: obtaining multi-source log data from different log sources; performing data analysis on the log data to obtain a source IP address and a destination IP address of the log data; storing the source IP address and the destination IP address in the form of a summary data structure; calculating a signal deviation value between the current summary data structure and the historical summary data structure; according to the sequence of the numerical values from small to large, reordering the signal deviation values to obtain a target signal deviation value; calculating an actual energy value of the target signal deviation value through wavelet transform; calculating an energy estimation value and a variance estimation value of the target signal deviation value through exponentially weighted moving average; dynamically determining an energy threshold value according to the energy estimation value and the variance estimation value of the target signal deviation value; and comparing the energy actual value of the target signal deviation value with an energy threshold value, and carrying out network intrusion detection.

The application discloses a kind of sunny long endurance unmanned aerial vehicle hyperspectral image reflectivity correction method based on solar radiation energy estimation model, comprising the following steps: S1.select different types of multiple unmanned aerial vehicles, carry hyperspectral camera, so as to obtain high-quality hyperspectral image data;S2.through in different time, different area is carried out multiple different types of unmanned aerial vehicle aerial experiment, the actual operation process of long time unmanned aerial vehicle is simulated comprehensively, and the performance of unmanned aerial vehicle under long time running condition is evaluated systematically, verify the effectiveness of model in image radiation correction, while combining ground spectrometer data, ensure the accuracy and applicability of experimental results;S3.in different test area, collect multiple types of data for unmanned aerial vehicle reflectivity precision verification and evaluation analysis.The application is aimed at hyperspectral image obtained by long time unmanned aerial vehicle under sunny condition, and the applicability and stability of verification model under different ground surface type conditions are evaluated through reflectivity precision evaluation.

This invention provides a distributed radar noncoherent direct localization method, device, terminal, and medium for data anomaly scenarios, relating to the field of radar technology. The method includes: acquiring echo signal data received by each observation array; constructing a signal model characterizing the mapping relationship between the echo signal data and potential source locations, where the common detection area of ​​each observation array is a two-dimensional grid, the grid point coordinates correspond to the potential source locations, the signal model does not contain phase synchronization parameters between observation arrays, and is adapted to the noncoherent characteristics of the signal data; and constructing a system based on the signal model... 2,1 This invention addresses the group sparse optimization problem of norms. A pre-defined optimization algorithm is used to solve the problem, yielding a row sparse matrix. Based on this matrix, the true source localization result is determined, and the column vector elements of the row sparse matrix correspond to the potential source reflection energy estimation results at the grid points. This invention utilizes echo signal data from various observation arrays to achieve primary localization, eliminating secondary localization errors and reducing abnormal noise interference.

The application discloses a ship vibration test evaluation system with adaptive order filtering, and relates to the technical fields of ship vibration detection and signal processing. In view of the problems of low-frequency numerical instability, waste of calculation resources and uneven precision distribution caused by the fact that the existing 1 / 3 octave filtering method uniformly adopts fixed order filters, the application obtains vibration signals of a specified position of a ship through an acceleration signal acquisition module, obtains energy estimation values of each frequency band through spectrum estimation, solves the optimal order of each frequency band filter through a constraint optimization model according to a weighted sensitivity index, numerical stability constraints and sideband attenuation requirements by an adaptive order determination module, supports a partition fixed order simplification mode, and outputs a habitability evaluation result after frequency band filtering and weighted calculation. The application improves the low-frequency filtering stability, reduces the overall system calculation amount, realizes the optimal balance between filtering precision and calculation efficiency, and is suitable for a ship-mounted embedded real-time vibration monitoring system.