21 results about "Energy variation" patented technology

The invention relates to the technical field of line loss assessment, in particular to a power system line loss assessment method and system based on big data processing, and the method comprises the following steps: collecting voltage, current and phase angle signals of a power supply section, carrying out the frequency domain transformation, extracting the amplitude and phase of a frequency component, and generating a frequency spectrum feature set; energy spectrum characteristics and a migration sequence are calculated to analyze spectrum form stability, a risk section is identified by combining a power flow direction and an energy migration included angle difference, and a line loss assessment result is generated by combining a gravity center drift trend and an energy change sequence. Energy spectrum features and migration sequences are extracted to describe power grid energy distribution changes, an included angle difference between a power flow direction vector and an energy migration direction is calculated to screen an abnormal section, an energy drift trend is analyzed in combination with a frequency spectrum gravity center track, line loss real-time quantification and area positioning are achieved, and abnormal loss identification precision and operation evaluation stability and reliability are improved.

The invention discloses a quality control method for receiving a single-shot excitation effect by a node instrument based on cabled arrangement. The quality control method comprises the following steps: step 1, calculating excitation energy of an excitation point at different offset distance positions; 2, fitting calculation is carried out on data of different offset distances and excitation energy, and the range of the offset distance and the excitation energy corresponding to the excitation energy change stable area are determined; 3, setting a first transverse cable arrangement to control the range of a first three-dimensional quality control area in the acquisition work area; 4, taking the attenuation rule of excitation energy along with the offset distance as the evaluation standard of the three-dimensional single shot record in the first three-dimensional quality control area; 5, the offset distance range and the energy value are optimized again; and 6, respectively setting a plurality of transverse cable arrangements to realize quality control of the excitation effect of the excitation points in the whole acquisition work area. According to the invention, the quality of seismic acquisition data can be improved, potential safety hazards caused by seismic exploration can be reduced, and high-quality data can be provided for seismic data processing.

The present application relates to a kind of theoretical detection methods for determining local void of monolithic track bed, comprising the steps of: obtaining train-monolithic track bed-lining-ground coupling vibration equation according to the control equation of rail, monolithic track bed and lining and the dynamic balance equation of train, the vertical acceleration of car body is calculated using Newmark algorithm;The Hilbert-Huang transform spectrum of the vertical acceleration of car body is obtained;According to the energy change of the Hilbert-Huang transform spectrum of the imf2 decomposition curve under the void state, the position of the local void area of monolithic track bed is judged.The beneficial effects of the present application are: the position of the local void area of monolithic track bed can be judged according to the energy value change of the Hilbert-Huang transform spectrum of the vertical acceleration of car body imf2;Whether there is track bed void and the starting position of void can be judged, and the severity of void length can be qualitatively estimated according to the length of energy value change, which helps to reduce the operation and maintenance cost of subway track.

The invention relates to a low-strain detection waveform analysis method fused with time-frequency feature extraction, and the method comprises the steps: carrying out the segmentation processing of a collected low-strain waveform signal on a time axis, detecting the energy change rate and starting time of each time segment, screening out signal segments which are remarkably different from background noise, and forming a local feature signal set; analyzing the occurrence interval, duration and energy change trend of each characteristic signal, identifying related signals belonging to the same potential damage process, and generating a time association chain; based on the time association chain and the multi-band features, performing consistency analysis on the performance of each feature under different time-frequency dimensions, retaining signals which are stable in both time and frequency, and rejecting accidentally prominent isolated anomalies in a single domain to obtain a reliable feature set of low-strain detection; and tracking the change trend of the reliable features in time and frequency, judging the occurrence and development of low-strain damage according to the evolution rules of the features in different stages, and outputting a detection result.

The application discloses a photolithography machine multi-light-source cooperative high-precision exposure control system and relates to the technical field of photolithography machine control. The initial energy parameters of each light source are acquired, a coupling characteristic set of energy variation and light spot appearance variation is constructed, light intensity error, phase error and light spot distortion error are taken as inputs, a time sequence offset matrix between the light sources and a light source energy compensation matrix are respectively generated, a light source cooperative error model is constructed through matrix superposition and eigenvalue decomposition, exposure disturbance obtained by real-time monitoring of the photolithography machine is input into the error model, the final target exposure compensation parameters are obtained by using a quadratic optimization algorithm under a constraint condition after the preliminary compensation amount is obtained, the light source energy output, the light path phase and the pulse trigger time sequence are cooperatively adjusted according to the target exposure compensation parameters, the energy deviation, the phase drift and the time sequence mismatch can be simultaneously reduced, the exposure stability and the pattern shaping precision are significantly improved, and the application is suitable for high-resolution and multi-light-source photolithography equipment.

The invention discloses a power system fault risk detection method and device, equipment and a storage medium. The method comprises the steps of obtaining operation data of a power system; on the basis of the operation data, calculating the energy change rate of each element according to three types of elements, namely a branch, a generator and a load; constructing a feature vector based on the energy change rate; the feature vectors serve as model input, a preset dichotomy XGBoost model is adopted to carry out electric power system risk detection, and detection results are obtained, and the detection results comprise risk and no risk; and when the detection result is that a risk exists, performing risk positioning by adopting a preset multi-classification XGBoost model based on the feature vector to obtain the position of an element with a fault risk. According to the invention, the timeliness and accuracy of fault risk early warning are improved, and reliable operation of the power grid is effectively guaranteed.

The invention discloses a method for discriminating and tracing oscillation types of different mechanisms of a power system based on dynamic energy. The method comprises the following steps: constructing a low-frequency oscillation simulation model of the power system; analyzing the performance characteristics of the low-frequency oscillation mechanism of the power system, and determining the generation mechanism of different types of low-frequency oscillation; system oscillation energy in the low-frequency oscillation process of the power system is constructed, and energy functions of models such as an engine are derived and defined; and discriminating low-frequency oscillation of different mechanisms according to an energy function method, and positioning and tracing a disturbance source. According to the method, the energy function can be applied to the low-frequency oscillation problem of the power system, the oscillation is suppressed and analyzed more comprehensively, and the main disturbance source is judged according to the energy change characteristics of the generator set and the network branch.

The present invention relates to a charged particle beam therapy system comprising: a patient unit (10); an accelerator unit (20) configured to accelerate charged particles; and a beam transport system (30) configured to guide a particle beam having an energy (Ej) between 40 and 450 MeV / u along a corresponding beam trajectory (40e) centered on a central trajectory (40m) to a target (11) located within the patient unit (10), wherein the beam transport system (30) comprises: a bending unit (33) having a gap (33g) between the poles (33p) of a fixed magnetic field dipole, the bending unit being configured to receive and bend the central trajectory (40m) in a bending plane (Y, Z). The beam transport system (30) further comprises an upstream stairer (35u) located upstream of the bending unit (33) and configured to deflect the beam trajectory (40e) from the central trajectory (40m) in a bending plane (Y, Z). The magnitude of the uniform magnetic field (B35) in the upstream stearer (35u) can be controlled to change the entry position (Yij) and entry angle (θ33i) of the beam trajectory at the bending unit entrance (33i) according to the beam energy (Ej) of the particle beam.

The application relates to the technical field of multi-source flexible grid connection, and discloses a storage multi-module cooperative energy conversion efficiency increasing system and method, the method comprising the following steps: high-frequency sampling of load change data at a load end, and collecting operation state data of each energy conversion unit; time scale analysis of energy change characteristics at the load end, and calculation of dynamic characteristic strength representing rapid energy change; judging whether there is significant energy fluctuation at the load end; if yes, constructing a dynamic response strategy for the load end, comprising the following steps: calculation of dynamic response adaptation indexes of each energy conversion unit; screening of response adjustment units, and calculation of adjustment task weights of each response adjustment unit; based on the corresponding adjustment task weights, controlling each response adjustment unit to perform dynamic response adjustment on the load end. The application can improve the overall conversion efficiency and operation stability of a solid-state transformer in the scene of flexible grid connection and multi-load direct connection.

The invention discloses a fish feeding state recognition method, device and equipment and a medium, and relates to the technical field of intelligent fishery monitoring and signal recognizing.The method comprises the steps that firstly, main modal components are subjected to VMD decomposition and self-adaptive screening according to energy and correlation, then STFT is conducted on the main modal components, and the main modal components are obtained; the VMD and STFT double-layer feature construction strategy can fully excavate the energy change rule in the disturbance signal by using the two-layer feature construction strategy of the VMD and the STFT to keep the energy distribution features of the signal in time and frequency at the same time; secondly, importance weights of different feature channels are learned through channel attention, feature channel responses sensitive to feeding behaviors are enhanced, spatial weight distribution of a spatial attention learning feature map is enhanced so as to accurately position a key area, the design focuses on discriminative features most related to feeding behaviors from the two aspects of time and space, and the accuracy of positioning of the key area is improved. The method focuses on characteristics representing disturbance signals and feeding behavior energy changes, and finally optimal feeding is carried out on the fishes based on the identified feeding state.

The invention relates to the technical field of vertical shaft type gravity energy storage systems, in particular to a vertical shaft type gravity energy storage system overall energy efficiency analysis and calculation method which comprises the steps that the complete charging and discharging circulation of a vertical shaft type gravity energy storage system is divided into a plurality of stages according to the movement path of a gravity medium; aiming at the charging state, establishing a kinetic equation and an energy conversion equation of the gravity medium in the horizontal transportation and vertical lifting process, solving to obtain an energy change value of each stage, and obtaining the total energy of the charging process; aiming at the discharge state, establishing a kinetic equation and an energy conversion equation of the gravity medium in the horizontal transportation and vertical descending processes, solving to obtain an energy change value of each stage, and obtaining the total energy of the discharge process; and obtaining the overall energy conversion efficiency of the system based on the total energy of the discharging process and the total energy of the charging process. The calculation method provided by the invention realizes the quantitative analysis of the whole process of the vertical shaft type gravity energy storage system from the power grid side input energy to the power grid side output energy.

This invention discloses a method for optimizing the energy efficiency of air compressor equipment based on digital twins, belonging to the field of air compressor equipment technology. The method includes the following steps: collecting real-time current, power, pressure, and flow signals of the air compressor at different load stages; continuously arranging the time series of the collected signals to form a basis for energy change rhythm; and based on this energy change rhythm basis, synchronously analyzing the amplitude fluctuations and phase differences between adjacent signals to identify abnormal segments where energy increases in the opposite direction within a short period. This invention corrects energy consumption misalignment problems through dynamic reference and time rearrangement of the energy change rhythm, establishing a stable correspondence between load changes and energy consumption, and improving the accuracy and reliability of energy efficiency assessment. Simultaneously, by coordinating the adjustment of the pressure output rhythm of the air compressor group, a balanced distribution of energy release on the time axis is achieved, reducing operational fluctuations and start-stop shocks, and enhancing the overall stability and continuity of operation.

Disclosed herein is an optimization device, an optimization method, and an optimization program. The optimization device includes: an annealing unit that changes a state of any one of a plurality of state variables included in an evaluation function, calculates an amount of energy change, and obtains a first total amount of change by adding a second total amount of change to the calculated amount of change; a speculative inversion control unit that repeatedly performs a process of speculatively selecting a state variable to be changed and causing the annealing unit to obtain the first total amount of change; an adoption determination unit that randomly determines whether to adopt a state transition of a predetermined number of state variables changed by the annealing unit; an energy calculation unit that calculates a transition energy when it is determined to adopt the state transition; and a search unit that specifies the transition energy as a minimum energy when the transition energy is smaller than a previously specified minimum energy.

The application discloses a small watershed mountain flood disaster risk dynamic early warning method and system, relates to the technical field of hydrological monitoring and disaster early warning, and comprises the following steps: collecting structural acoustic vibration signals and water flow pulsation signals at the moment when the basic structure is impacted by flood, forming a spatial distribution atlas of energy disturbance in a short time, and constructing the spatial distribution atlas into an impact echo fingerprint strip for providing a reference basis of abnormal jump signals; based on the energy changes between the energy segments at the end of the impact echo fingerprint strip, identifying the synchronous mutation points and the continuous time length of adjacent segments, extracting the energy jump area, constructing a pseudo-peak suspicious point index, and marking the spatial positioning information of the abnormal jump signals. The application constructs an energy atlas by synchronously collecting acoustic vibration signals and water flow signals, identifies pseudo-peak abnormalities, reconstructs an energy turning path, combines time sequence anchor points to drive multi-stage intervention devices, realizes energy guidance and dissipation, effectively suppresses misjudgment, and improves the accuracy, stability and response reliability of mountain flood early warning.

The invention discloses a hybrid welding method and system for laser-argon arc energy collaborative regulation and control, and relates to the technical field of project management and the technical field of welding optimization systems.A subsystem construction module calculates energy parameter variation based on preprocessed time sequence data to form a basic set of multi-dimensional energy collaborative analysis; a chaotic oscillator model is constructed for energy parameter variation in a basic set, a dominant analysis module inputs the basic set into the chaotic oscillator model for iterative operation, discrete energy variation is converted into a continuous state evolution trajectory through nonlinear coupling, and an output phase diagram reflecting the energy collaborative matching degree is generated. And the dominant energy source is judged by combining the welding task attributes and the process characteristic index database. According to the welding system, through acquisition and preprocessing of multi-source time sequence data, construction of a chaotic oscillator model and intelligent judgment of a leading energy source, refined sensing and dynamic analysis of the energy cooperation state in the welding process are achieved.

The invention discloses a power system inertia real-time estimation method for a load continuous fluctuation scene, and the method comprises the steps: obtaining the measurement data of a power system, and calculating an original inertia estimation value based on an energy change model; an inertia estimation verification model based on a Q-Learning algorithm is constructed; according to the measured data, detecting whether the mechanical power fluctuates or not through an inertia estimation verification model based on a Q-Learning algorithm; according to a detection result, performing real-time correction on the original inertia estimation value; a reward mechanism is started, and a Q table of a Q-Learning algorithm is updated; and performing exponential smoothing processing on the corrected inertia estimation value, and outputting a final inertia estimation value. According to the method, online adaptive adjustment can be realized without extra training, an inertia change scene caused by mechanical power fluctuation is effectively identified, and continuous and real-time estimation of the inertia of the power system is realized.

The invention relates to the technical field of underground engineering, and particularly discloses an accurate method and system for upheaval deformation of an underlying tunnel during foundation pit excavation, the tunnel is simplified into an Euler-Bernoulli beam to be placed on a Pasternak foundation model, additional stress caused by foundation pit excavation unloading at the axis position of the tunnel is calculated by using various parameters, and the unload of the tunnel is calculated by using the parameters to accurately measure the upheaval deformation of the underlying tunnel. And establishing a stress-strain equation about tunnel upheaval deformation displacement, and finally, solving the stress-strain equation and obtaining a bending moment expression and a shearing force expression of the tunnel according to an Euler-Bernoulli beam theory. In this way, the interaction between the tunnel and the soil body is simulated by adopting the two-parameter Pasternak foundation model; based on an energy variation principle, a total energy equation of a tunnel-foundation system is established, and bending deformation energy, foundation reaction acting and additional load acting of the system are considered, so that a calculation result better conforms to actually measured data.

The invention relates to the technical field of power transmission and transformation equipment monitoring, in particular to a weak traveling wave capturing method based on energy change rate kurtosis and phase spectrum order degree, and the method comprises the steps: collecting and processing a traveling wave signal of a line, and obtaining a preprocessing signal; screening based on sliding window kurtosis to obtain an energy mutation event; and judging whether a fault occurs based on the cross-scale phase gradient entropy. In order to solve the problem that online detection and extraction of traveling wave signals are relatively difficult in the prior art, two screening processes of sliding window kurtosis and cross-scale phase gradient entropy based on the energy change rate are introduced, extremely weak signal mutation can be reliably captured from strong noise by detecting the kurtosis of the energy change rate instead of the energy amplitude value, and the signal detection accuracy is improved. The problem of report failure caused by low signal-to-noise ratio of a traditional method is solved. According to the cross-scale phase gradient entropy criterion, fault traveling waves and random noise with physical rules can be effectively distinguished from the internal structure order of the signals, and the false alarm rate is greatly reduced.

A radiation source arrangement including: a radiation source operable to generate source radiation including source energy pulses; and at least one non-linear energy-filter operable to filter the source radiation to obtain filtered radiation including filtered energy pulses. The at least one non-linear energy-filter is operable to mitigate variation in energy in the filtered radiation by reducing the energy level of the source energy pulses which have an energy level corresponding to one of both extremities of an energy distribution of the source energy pulses by a greater amount than the source energy pulses which have an energy level corresponding to a peak of the energy distribution.

The invention discloses a method for optimizing the section of a simply supported combined I-shaped beam, which belongs to the technical field of structural engineering, and comprises the following steps of: calculating the total potential energy of a system of the combined I-shaped beam by considering the wrinkle effect, the shear lag and the self-balancing condition of the combined I-shaped beam; a vertical elastic control differential equation set and boundary conditions of the combined I-shaped beam are obtained through an energy variational method, solving is carried out, and static analysis of the simply supported combined I-shaped beam is carried out accordingly; and finally, reasonably optimizing the section size of the structure according to the mechanical property of the simply supported combined I-shaped beam, and verifying through finite element simulation. According to the method, the mechanical property of the combined I-shaped beam is accurately analyzed, the mechanical property of the optimized combined I-shaped beam is more excellent, and various diseases of the I-shaped beam can be effectively avoided; the method is clear in mechanical concept, has good application value, and can provide good theoretical and technical support for durability design of the combined I-shaped beam.

A method for calibrating a charged-particle spectrometer including generating a monochromatic incident charged-particle beam having a first energy; generating an incident laser beam having a second energy; illuminating a surface with the laser beam to generate an evanescent electromagnetic field in a region near the surface; spatially and temporally superimposing the laser beam and the incident charged-particle beam in the region to couple them via the evanescent electromagnetic field by generating a charged-particle beam as an output beam with a spectrum having distinct peaks of energies that are spectrally separated by a value equal to the second energy; measuring, by the spectrometer, all or part of the spectrum of the output beam, then determining a variation in energy of at least two of the distinct energy peaks with respect to the first energy; and determining a value of the scale factor S and a value of the offset.