38 results about "Energy variation" patented technology

The invention discloses a method for accurately predicting upheaval deformation of adjacent tunnels caused by foundation pit excavation by considering the influence of soil friction, which comprises the following steps of: firstly, determining size parameters of a foundation pit and an existing tunnel and physical and mechanical parameters of the tunnel and a soil body, and determining a stress mode of the tunnel and a model sketch of interaction of the foundation pit and the tunnel; determining the additional stress of the tunnel; then establishing a total energy formula of a tunnel upheaval deformation system of a Pasternak foundation model considering soil friction, and obtaining a tunnel upheaval deformation w matrix analysis based on an energy variation principle; and finally, according to an Euler-Bernoulli beam theory, a bending moment expression and a shearing force expression of the tunnel are obtained. According to the method, based on the Pasternak foundation model, the influence of axial soil body friction of the tunnel on tunnel deformation is considered, so that the calculated data better conform to the measured value. The method is simple and practical in matrix analysis, and has guiding significance for predicting the upheaval deformation of the adjacent tunnel caused by excavation of the foundation pit.

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 kind of high-efficiency face milling cutter machine tool and cutting energy variation characteristic identification method, including step one, according to cutting force waveform curvature mutation and voltage signal mutation, cutting period calculation is combined, and milling cutter cutting, cutting period is divided, step two, utilize the energy consumption data of idle period before milling, separate out additional energy consumption only by cutting force excitation generated, step three, extract the time-frequency characteristic parameter of cutting force energy consumption, identify high-efficiency milling cutter cutting energy variation characteristic, step four, according to the ratio of cutting energy consumption and machine tool energy consumption mean square root value, obtain the energy efficiency in machine tool cutting process, through in-depth analysis to these dynamic characteristics, can provide theoretical basis for optimizing cutting parameters and improving production efficiency, and then realize the maximization of energy efficiency in actual production, also provide a reliable verification method for the verification of energy consumption dynamic model, the data obtained by online monitoring can test the accuracy and effectiveness of energy consumption dynamic model.

The present disclosure relates to a method and device for monitoring and warning of rock burst based on the time series characteristics of ground sound. The method includes: generating a frequency change gradient sequence based on a frequency time series sequence, generating an energy change gradient sequence based on an energy time series sequence, determining whether the frequency change gradient sequence and the energy change gradient sequence meet a first preset condition, and obtaining a first judgment result; determining the first frequency maximum value in the frequency time series sequence, determining the first energy maximum value in the energy time series sequence, determining whether the first frequency maximum value meets a second preset condition, and obtaining a second judgment result; determining the first difference between the first time node and the second time node, determining whether the first difference meets a third preset condition, and obtaining a third judgment result; issuing a warning based on the first judgment result, the second judgment result, and the third judgment result. This solution improves the timeliness and accuracy of rock burst warning.

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 belongs to the technical field of coal mine underground reservoirs, and particularly relates to a design method for a flat plate type artificial dam body of a coal mine underground reservoir. Comprising the steps that strength parameters of the artificial dam body after performance degradation in the complex hydraulic environment are determined; an artificial dam body three-dimensional thick plate elastic mechanical model is constructed, boundary conditions of the artificial dam body three-dimensional thick plate elastic mechanical model are determined, the mechanical model is solved through an energy variational method, and the internal stress distribution condition of the artificial dam body is determined; constructing an artificial dam body stretching-shearing composite yield criterion; determining an artificial dam body design scheme feasible region based on a stretching-shearing composite yield criterion; and determining a reasonable design depth range of the artificial dam body cutting based on rigidity matching and shear resistance. According to the method, the stress distribution of the artificial dam body of the underground reservoir can be accurately obtained, accurate identification of different damage types can be realized, the reasonable slotting depth can be determined, the coordination and stability of connection between the artificial dam body and surrounding coal and rock masses can be effectively improved, and thus the stability and reliability of the artificial dam body in long-term operation are ensured.

The invention discloses a suspension cable type crossing frame bearing cable optimization type selection method based on the law of conservation of energy. The method comprises the following steps: S1, carrying out related setting on a dynamic impact process when a suspension cable type crossing frame generates line displacement and line breakage accidents, and simplifying problems; s2, calculating a gravitational potential energy formula of the wire and the bearing cable before an accident working condition, namely a safe paying-off working condition; s3, analyzing the energy change rule of the wire and the bearing cable after the accident condition occurs and when the net falling wire is in contact with the bearing cable and jointly moves to the lowest point, and calculating the elastic potential energy variable of the bearing cable; s4, based on the law of conservation of energy, combining the energy equations before and after the accident to obtain a calculation formula of the impact coefficient and the comprehensive safety coefficient; according to the method, the energy change rule of the impact of the drop wire on the bearing cable is analyzed, a dynamic motion equation and a mechanical calculation model of the suspension cable type crossing frame in the accident state are formed, and the problem that the selection precision of the bearing cable is low due to the fact that an existing calculation method is rough when the impact coefficient is selected is solved.

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 nanometer material performance prediction method and system based on deep learning, and the method comprises the steps: obtaining the structure data of a nanometer material, inputting the structure data into a pre-trained structure performance prediction model, and obtaining the configuration space and performance prediction value of the nanometer material; sampling the configuration space by adopting a Monte Carlo method, and if the performance predicted value exceeds a preset threshold value, determining the configuration corresponding to the performance predicted value exceeding the preset threshold value as a candidate sampling point to obtain a candidate sampling point set; calculating an energy value of each sampling point in the candidate sampling point set by adopting a density functional theory, and constructing an energy landscape model according to the energy value of each sampling point; and obtaining energy change data from the energy landscape model, and inputting the energy change data into the optimized structural performance prediction model to obtain a phase change path and a dynamic characteristic prediction result of the nano material. The accuracy and efficiency of performance prediction of the nano material can be improved.

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 a time scale-based adaptive wavelet packet method for suppressing wind power, which comprises the following steps: dividing a time domain based on a set time scale, performing adaptive wavelet packet decomposition, and suppressing data exceeding a limit of fluctuation by using an arithmetic average method in adjacent time domains; analyzing the correlation between power components of a hybrid energy storage device based on the characteristics of the energy storage device and the energy distribution of a node, obtaining power components of energy-type and power-type energy storages, and optimizing the capacity of the hybrid energy storage device in combination with maximum charging and discharging power and energy change; dynamically partitioning the SOC of the energy storage device, improving a membership function of fuzzy control, and adopting two-stage fuzzy control to optimize a hybrid energy storage power instruction, so as to reduce the over-limit of the SOC of the energy storage system. The application can effectively suppress power fluctuation, more accurately allocate hybrid energy storage components, effectively reduce the over-limit of the SOC, and improve power quality.

The invention relates to a method for determining (10) an operating energy loss (Df, Ds) of a liquefied gas carrier vessel equipped with a liquefaction system over a time interval, comprising the following steps:-calculating (12) an amount (D1) of energy consumed by an energy consumer of the vessel; -calculating (14) a change in energy (D2) as a function of a change in temperature of the liquefied gas; adding (16) the energy change (D2) to the amount of energy consumed (D1), resulting in an actual operating energy loss (Df); and when the liquefaction system is activated within the time interval:-calculating (18) an energy savings (D3) of the liquefaction system; and-adding (20) said energy savings (D3) to said actual operational energy loss (Df), resulting in an estimated operational energy loss (Ds) to be observed without activating said liquefaction system.

An energy detection assembly (78) is suitable for an illumination system of a mask inspection system for use with EUV illumination light (3). The assembly (78) has at least one EUV energy sensor device (77) that is embodied such that it captures energy of the illumination light (3) guided along an illumination light beam path. The EUV energy sensor device (77) has at least one energy value sensor and at least one energy variation sensor (79). The energy value sensor serves to capture an illumination energy of the illumination light (3) over an exposure period. The energy variation sensor (79) serves to capture a temporal development of the illumination energy of the illumination light (3) over the exposure period. This results in an energy detection assembly, by means of which an inspection accuracy of the mask inspection system can be improved.

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 an offshore new energy-direct current power grid stability analysis control method and system, belongs to the technical field of new energy, and solves the problem that oscillation caused by transmitting / receiving end faults of a multi-end flexible direct transmission system of large-scale new energy cannot be rapidly suppressed. The method comprises the following steps: acquiring instantaneous value variation of voltage and current output by a system port to obtain instantaneous value variation of electrical quantity output by each subsystem port; based on the voltage and current instantaneous value variable quantity and the electrical quantity instantaneous value variable quantity, constructing a dynamic energy model of each subsystem to calculate the interactive energy variable quantity among the subsystems; obtaining an interaction energy change rate between the different subsystems based on the interaction energy change quantity between the subsystems so as to determine key interaction energy for inducing system oscillation instability; and establishing a mapping relation between the key interaction energy and active / reactive power of the wind field / converter station so as to suppress the key interaction energy by adjusting the current instruction value. And stable suppression of system divergent oscillation in different fault scenes is realized.

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 an accurate prediction method for adjacent tunnel upheaval deformation caused by foundation pit excavation based on a system energy method, and the method comprises the steps: determining a stress mode and a model sketch of a tunnel, superposing the dynamic load influence of an operating subway train, determining the size of the additional stress of the tunnel, and predicting the upheaval deformation of the adjacent tunnel. Establishing a total energy formula of a tunnel upheaval deformation system based on a Kerr foundation model; then, based on the energy variation principle, obtaining Kerr foundation lower layer spring matrix analysis, obtaining tunnel upheaval displacement analysis according to a relational expression of tunnel upheaval displacement and lower layer springs, and obtaining a bending moment and shearing force expression of the tunnel according to the Euler-Bernoulli beam theory. The three-parameter Kerr foundation model adopted by the method can overcome the problem that a Winkler foundation cannot fully consider the continuity of a soil body, the influence of the load of an operating subway train on tunnel deformation is considered, matrix analysis is simple and practical, and the method has guiding significance on prediction of upheaval deformation of the underlying tunnel caused by excavation of a foundation pit.

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.

An optimization device, an optimization method, and a recording medium for recording an optimization program are provided. The optimization device includes: a temperature control unit for controlling a temperature value; an energy change calculation unit for calculating an energy change; a determination unit for randomly determining whether to accept a state transition based on a relationship between the energy change and a threshold; an expected value storage unit for storing an expected value for each state; an expected value comparison unit for comparing the expected value with a corresponding state value and extracting unequal state variables; a confirmation unit for selecting state variables extracted by the expected value comparison unit and changing the states of the selected state variables until the state values ​​are all equal to the expected values, and selecting state variables for a state transition accepted by the determination unit and changing the states of the selected state variables once the state values ​​are equal to the expected values; an energy calculation unit for calculating a post-transition energy after the state is changed; and a search unit for setting the post-transition energy to the lowest energy if the post-transition energy is less than the lowest energy.

This invention discloses a method for identifying the characteristics of vibration energy variation in face milling cutters, comprising the following steps: a high-efficiency face milling cutter cutting vibration experiment scheme, a method for dividing cutting vibration experiment results and cutting time periods, time-frequency characteristics of vibration acceleration in different cutting time periods, a method for calculating cutting vibration energy and identifying cutting vibration energy distribution, and a method for evaluating the dynamic characteristics of vibration energy. By comprehensively analyzing and identifying the vibration energy in the milling process, the method can effectively reveal the stability of the high-efficiency face milling cutter cutting process and the distribution characteristics of vibration energy. By calculating the vibration energy, the method extracts the time-frequency characteristic parameters of vibration energy in different cutting time periods during the process from the milling cutter's entry into the workpiece to its exit, thereby accurately identifying the variation law of milling vibration energy. This method can effectively identify the characteristics of vibration energy variation in the cutting process, improve cutting stability, reduce the negative impact of vibration on machining quality, and improve machining efficiency.

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.