610 results about "Potential energy" patented technology

The invention discloses an intelligent prediction method for fatigue damage evolution of an aero-elastic sheet based on digital twinning, and the method comprises the following steps: S1, constructing a finite element model, carrying out the modal calibration, and building a digital twinning model; s2, acquiring real-time monitoring data; s3, constructing a crack-induced potential energy tensor field to obtain a crack development potential energy probability distribution diagram; s4, generating a probability prediction map by adopting a potential energy driven map evolution coupling algorithm; s5, constructing a topological damage mapping function, and predicting a dynamic evolution process of topological damage along with load time; s6, applying a time folding algorithm in the dynamic evolution process to obtain a fatigue state submerged space representation; and S7, inverting the topological damage state of the current structure based on the contrast twinborn variational self-encoding network, updating the digital twinborn model, and finally outputting the structural damage evolution trend. According to the method, digital twinning and graph evolution algorithms are fused, and intelligent prediction of the fatigue damage of the aero-elastic sheet is realized.

The invention relates to an optimization processing method for a streaming data dynamic window, and the method comprises the steps: taking streaming data as a dynamic system, and calculating the data disturbance energy at each moment on a time axis; constructing a window trigger point according to the potential energy curve; when the trigger potential locally reaches a peak value or the trend changes, adaptively dividing the window; the starting boundary and the ending boundary of each window are defined as elastic intervals; before the window slides or is closed, window boundary self-adjustment and complementation are carried out according to compensatory analysis of subsequent data streams; taking a large window as a container, and dividing sub-segments according to data density change; partial states are shared among the sub-windows, and fine-grained analysis including anomaly detection and instantaneous peak value recognition is executed; introducing a life cycle termination relationship driven by an entropy threshold: when the window activeness is lower than the entropy threshold, triggering state compression or early release; the accuracy and dynamics of window division are realized, the response capability of a system to data fluctuation and burst is enhanced, and the elasticity and fault-tolerant capability of window boundaries are improved.

The invention provides an elevation map path planning method and system based on a terrain adaptive potential energy field, and relates to the technical field of path planning. Comprising the steps of calculating the gradient and roughness of the position of an intelligent agent, setting a terrain adaptive gain, dynamically adjusting the gradient and roughness, and obtaining a terrain adaptive repulsive force field and a composite potential energy field in combination with a basic repulsive force field; determining the motion direction of the agent based on the composite potential energy field, and determining the next position of the agent; in the process that the intelligent agent moves to the next position, whether local re-planning needs to be carried out on the next position of the intelligent agent or not is judged based on a preset environment change judgment rule; and when re-planning is needed, recalculating the terrain adaptive repulsive force field and the dynamic obstacle repulsive force field, updating the composite potential energy field, and re-determining the next position of the intelligent body. According to the invention, the terrain can be effectively sensed, the planning strategy is adaptively adjusted, and high precision, high efficiency and strong robustness are considered.

The invention relates to the technical field of wind-solar storage power station operation control, and discloses a wind-solar storage multi-energy complementary power station cooperative operation method and system. The method comprises the following steps: constructing a wind-light fluctuation rate phase plane, defining a coupling stable elliptical region and generating a multi-source coupling state tag; an energy storage response performance plane is constructed, a dynamic dead zone threshold parameter is calculated, a dynamic respiration hexagonal boundary is established, and the penetration depth is calculated to generate an energy storage effective action instruction; and constructing a virtual energy gravitational potential energy field by utilizing an energy storage effective action instruction, calculating virtual potential energy heights of independent physical nodes and nonlinear flow resistance characteristics of a virtual energy transmission pipeline, and analyzing a virtual potential energy height difference and a virtual energy flow velocity to obtain a final power distribution scheme. Precise classification of fluctuation modes is achieved through geometric topology, the dynamic breathing hexagon is utilized to consider battery life and stability control requirements, the problem of lagging of multi-target optimization calculation is solved based on the physics field theory, and the operation efficiency of a power station and the friendliness of a power grid are remarkably improved.

The invention discloses a multi-factor coupling action slope dangerous rock mass instability starting speed determination method which comprises the following steps: establishing a dangerous rock mass generalization mechanical model, simplifying a dangerous rock mass main control structural plane into two parts, namely a through section and a non-through main control structural plane, and controlling dangerous rock mass instability damage by a rock mass corresponding to the dangerous rock mass main control structural plane; carrying out stress analysis on the dangerous rock mass and the locking section rock mass based on the external load effect and the generalized mechanical model of the dangerous rock mass; the external load effect comprises horizontal and vertical earthquake force, frost heaving force, fracture water pressure or excess pore water pressure; determining elastic strain energy released by potential energy reduction in crack propagation of the main control structural plane of the dangerous rock mass based on a multi-factor coupling effect; and on the basis of the assumption that elastic strain energy released by reduction of potential energy in crack propagation of the main control structural plane of the dangerous rock mass is instantaneously released and converted into kinetic energy of dangerous rock mass movement, the instability starting speed of slope dangerous rock mass severe movement under the multi-factor coupling effect is determined. The invention further discloses a system, electronic equipment and a computer readable storage medium.

The invention discloses an injection-production regulation imbalance quantitative diagnosis method based on fluid potential energy, and the method comprises the steps: extracting a streamline track space coordinate sequence and corresponding point oil reservoir parameters based on a dynamic permeability field, a pressure field and an injection-production streamline field; constructing a three-dimensional fluid potential energy field model in the injection-production unit, and dividing dominant seepage, a retention zone and a transition zone based on the injection-production unit through potential energy gradient tensor; establishing a seepage potential index LS by taking the flow line penetrating pore volume as a stability weighting factor and combining the potential energy gradient intensity; on the basis of LS sorting, a potential energy-volume two-factor accumulation curve is constructed, the development non-equilibrium degree is represented through curve form parameterization, and the envelope area of the accumulation curve is calculated and used for representing the oil reservoir flow field development non-equilibrium degree and the development effect of each type of injection-production unit. According to the method, fluid potential energy and a two-factor cumulative distribution concept are introduced into computational logic, and unified and quantitative characterization of an oil reservoir flow field and an injection-production unit is realized in combination with a seepage mechanism of the injection-production unit.

The invention discloses a method and a device for analyzing nonlinear vibration characteristics of a three-dimensional snakelike structure, and the method comprises the steps: modeling a three-dimensional piezoelectric snakelike extensible structure into a beam, and obtaining a three-dimensional snakelike beam model; wherein the three-dimensional piezoelectric snakelike extensible structure and the three-dimensional snakelike beam model are of a bow-shaped structure formed by sequentially overturning a plurality of L-shaped units in the direction of one side of the L-shaped units and sequentially connecting the L-shaped units end to end in the direction of the other side of the L-shaped units; kinetic energy and potential energy of the three-dimensional snake-shaped beam model are determined; determining a control equation of the three-dimensional S-shaped beam model according to the kinetic energy and the potential energy; and determining a dynamic response equation based on the control equation so as to determine the vibration characteristics of the three-dimensional S-shaped beam model. The problem that in the prior art, research on the vibration characteristics of the three-dimensional piezoelectric snakelike extensible structure is lacked is solved, the vibration characteristics of the three-dimensional piezoelectric snakelike extensible structure can be analyzed, and theoretical guidance is provided for application of the three-dimensional piezoelectric snakelike extensible structure.

The invention discloses an energy element numerical solution method for large deformation of a thin plate in any shape, which comprises the following steps of: forming a hole in a standard rectangular domain to simulate the shape of the thin plate in any shape, generating energy elements based on Gaussian integral points and variable stiffness in the standard rectangular domain to represent thin plate energy distribution, and constructing a discrete model of the thin plate in any shape; a global discrete variable stiffness energy system is formed; then capturing the geometric boundary of the thin plate through discrete energy based on a global trial function and removing energy in a hole domain to obtain a high-precision numerical integral of strain energy of the thin plate in any shape, and finally solving a nonlinear equation set based on a minimum potential energy principle and a Ritz method to complete large deformation analysis of the thin plate.

The invention belongs to the technical field of solar wings, and discloses a passive unfolding mechanism which comprises a bearing part, a rotating shaft, a curling arm and an abutting assembly. The rotating shaft is rotationally arranged on the bearing piece. One end of the curling arm is fixed to the rotating shaft, the curling arm can be wound to the rotating shaft, elastic potential energy is stored after the curling arm is wound, and the elastic potential energy is used for driving the rotating shaft to rotate so as to unfold the curling arm. The abutting assembly is arranged on the bearing piece, and the abutting assembly is configured to abut against the curling arm when the curling arm is unfolded, so that resistance is applied to the curling arm. According to the passive unfolding mechanism provided by the invention, the curling arm is wound through the rotating shaft, and the curling arm can be unfolded or folded by rotating the rotating shaft, so that the solar wing adopting the unfolding mechanism is simple in overall structure, small in size and capable of meeting the space requirement of a small spacecraft. The passive unfolding mechanism provided by the invention does not need to be powered by a motor, and is simple in structure and low in use cost.

The invention belongs to the technical field of underground engineering, and particularly relates to an evaluation method for underlying shield tunnel deformation caused by foundation pit block excavation, a paraboloid type pit bottom upheaval curved surface is adopted to express an actual excavation upheaval form, integral analysis is performed in combination with an image source method, and soil upheaval displacement of each point on a shield tunnel axis is obtained; according to the method, the longitudinal deformation of the shield structure is solved through Fourier expansion and the minimum potential energy principle, and the method is suitable for tunnel deformation prediction under complex working conditions such as oblique penetration, special-shaped foundation pits and block construction and has good engineering adaptability and theoretical guidance value.

The invention relates to the technical field of transformers, in particular to a transformer with a high-frequency magnetic material. Comprising a transformer body, a lower base and an upper base, a cooling fan is arranged on the upper base on one side of the transformer body, a liquid cooling system is arranged on the transformer body, and a trigger mechanism is arranged at the top of the transformer body and used for controlling starting and stopping of the cooling fan and the liquid cooling system according to temperature changes in the transformer body. Under the action of the bent end and the first wedge block, the bent end slides along the inclined plane of the first wedge block, the air inducing plates on the two sides rotate clockwise and anticlockwise respectively and overcome the elastic potential energy of the reset spring, and as the rotation amplitude of the air inducing plates is increased, the distance between the air flow channels between the air inducing plates and the transformer body is reduced, and the air flow is discharged. And airflow flowing through the airflow channel can quickly pass through the airflow channel, so that more heat on the leeside can be taken away by utilizing the pressure difference, and heat dissipation on the leeside of the transformer body is facilitated.

A trampoline includes an elastic plate and a supporting unit, wherein the elastic plate includes a first end and a second end, and a portion, located between the first end and the second end, of the elastic plate is an elastic energy accumulator; the supporting unit includes supporting bodies arranged at the first end and the second end of the elastic plate, and the supporting bodies are capable of supporting the elastic plate and tensioning the first end and the second end of the elastic plate; during bending deformation of the elastic plate, the first end generates a symmetrical turning angle change with respect to the second end; during deformation recovering of the elastic plate, the supporting bodies apply reset force to the first end and the second end by utilizing the potential energy.

The invention relates to the technical field of dam safety monitoring, and discloses an osmotic pressure monitoring data processing method and system for a reservoir dam, and the method comprises the following steps: obtaining osmotic pressure monitoring data and a reservoir water level; based on the data, reconstructing and carrying out normalization processing to obtain a normalized potential energy field; constructing a topological network based on the normalized potential energy field, and calculating a seepage field topological entropy capable of representing the overall structural characteristics of the seepage field; recognizing a hydraulic step event triggered by the rapid change of the water level of the reservoir, collecting a topological entropy response curve of the seepage field under the event, and extracting a real-time response feature vector from the curve; the invention further provides a system for executing the method. According to the method, severe data fluctuation caused by normal working conditions (such as water level sudden change) and early weak abnormity caused by internal structural diseases can be effectively distinguished, and the sensitivity and accuracy of seepage state abnormity diagnosis are remarkably improved.

The invention belongs to the technical field of numerical control logging, and particularly relates to a logging instrument and a numerical control logging system.The logging instrument comprises a columnar detection probe, the top end of the detection probe is connected with a data line, a plurality of protection rods are annularly distributed on the surface of the upper half portion of the detection probe, and mounting grooves are formed in the sides, away from the detection probe, of the top ends of the protection rods; a damping assembly is installed in the installation groove, and the bottom end of the protection rod is hinged to the surface of the detection probe. By arranging the damping assembly, when the data line is suddenly loosened, a reset spring can be quickly reset, so that a protection rod can be in contact with the inner wall of a mine under the pulling of a guide rod, and then a friction plate can drive one end, far away from a detection probe, of a damping rod to deflect upwards and stretch a damping spring under the action of friction force; therefore, collision force between the friction plate and the well wall is converted into elastic potential energy of the damping spring, and the influence of collision on the detection probe is reduced.

The invention relates to a near space non-uniform atmospheric refraction angle calculation method, which comprises the following steps: acquiring a deflection angle of light in the atmosphere, and obtaining a refraction angle model; determining atmospheric density change, obtaining a Boltzmann statistical model, and further obtaining a Boltzmann energy distribution model; determining molecular kinetic energy and potential energy, substituting the molecular kinetic energy and potential energy into a Boltzmann energy distribution model to obtain the atmospheric molecular number density away from the geocenter, and determining the change rule of the atmospheric molecular number density along with the altitude and the atmospheric temperature according to the atmospheric molecular number density away from the geocenter; acquiring a transmission path from the observation height to the top of the atmospheric layer, and acquiring the atmospheric temperature and atmospheric pressure at the observation height by combining the change rule of the atmospheric molecular number density along with the altitude and the atmospheric temperature; and inputting the atmospheric temperature and the atmospheric pressure at the observation height into an Elden refractive index model to obtain a refractive index value under a corresponding radiation condition, and inputting the refractive index value into a refraction angle model to obtain a refraction angle.

The invention discloses an elastic material hydrofoil fluid-solid coupling cavitation erosion forecasting method based on a potential energy theory, and belongs to the field of computational fluid mechanics and cavitation. The implementation method comprises the following steps: simulating the cavitation of the hydrofoil made of the elastic material by using a tight coupling algorithm to obtain the pressure and steam volume fraction distribution of the surface of the hydrofoil; a steam volume fraction distribution based on pressure; constructing an erosion index correction factor F for representing the bending torsional deformation degree of the elastic material hydrofoil to correct the cavitation erosion index represented by the pressure wave power density; the cavitation erosion indexes larger than a threshold value are screened out, and the final cavitation erosion risk index is a quotient after superposition of the cavitation erosion indexes; the corrected cavitation erosion index data are interpolated into RGB color data, the data serve as a geometric structure model of a fourth-dimensional mapping elastic material hydrofoil, and the corrected cavitation erosion index numerical value is represented through color change. The corrected cavitation erosion index can more accurately forecast a cavitation erosion risk part on the surface of the hydrofoil made of the elastic material.

The invention discloses a drilling track real-time monitoring and intelligent deviation correction control method, device and equipment, and aims to construct a multi-sensor fusion drill attitude measurement technology to realize high-precision track deviation detection and error compensation; performing potential energy accumulation on the negative deviation component to generate a deviation energy pool by adopting a positive and negative deviation decomposition technology of a track deviation vector; establishing a chaos control band framework, analyzing and identifying a stable boundary and an unstable boundary through energy fluctuation characteristics, and extracting an optimal response interval to guide deviation correction control; determining an active deviation rectification vector, and controlling a hydraulic cylinder to generate deflection torque through a composite deviation rectification instruction; an oscillation feature extraction technology is introduced, a stability index is generated based on system oscillation parameters and position mapping of a chaos control band, a chaos edge control field is constructed, and precise regulation and control of complex nonlinear drilling dynamics are achieved; the energy conversion efficiency is obtained and the chaos edge control field is combined to generate a real-time deviation correction control quantity, so that a closed-loop intelligent deviation correction control loop is formed.

The invention provides a method and a device for determining hyper-parameters of a potential energy model based on a graph neural network. The method comprises the following steps: acquiring a key sample from a plurality of samples of a data set for molecular dynamics simulation; determining a truncation radius configuration of the potential energy model based on the key sample, the truncation radius configuration including a truncation radius of each element combination; training of the potential energy model is performed based on the key sample and the truncation radius configuration, and the truncation radius configuration is adjusted based on an inference result of the trained potential energy model, where an input of the potential energy model is an atomic graph determined based on the key sample and the truncation radius configuration, and an output of the potential energy model is an atomic graph determined based on the key sample and the truncation radius configuration. The output of the potential energy model comprises energy parameters and force parameters of atoms.

An elevator fault diagnosis method based on digital twinning belongs to the field of elevator fault diagnosis, and comprises the following steps: 1, collecting elevator vibration signals; secondly, a numerical model of the elevator in the vertical direction is constructed, a kinetic equation of a system is established firstly, and then kinetic energy, potential energy and a dissipation coefficient of the system are calculated; 3, improving a PINNs model, introducing a physical information regulator into a loss function, and introducing a reactivation algorithm to optimize the loss function; (3.2) designing a reactivation algorithm to obtain an optimal solution of the model; fourthly, a small number of elevator fault vibration signals collected in the first step are input into a PINNs model with motion equation constraints, and simulated elevator vibration data are obtained; and fifthly, the improved GCN model is used for elevator fault diagnosis. According to the method, data which are difficult to acquire in reality can be effectively acquired, and the fault diagnosis accuracy is effectively improved.

The invention relates to the technical field of meteorological monitoring, in particular to a satellite fusion internet-of-things meteorological early warning issuing method, which comprises the following steps of: firstly, acquiring data of a stationary satellite, a low-orbit satellite, millimeter wave communication, ground optics and an electric field, and calibrating and registering to form a unified observation set; a multi-modal diagram is constructed, the optimal transmission mapping meeting mass conservation is obtained through quantum annealing, and three-dimensional wind speed, specific humidity and temperature fields are reconstructed to generate potential energy tensors; establishing a potential energy function based on the potential energy tensor, and judging convection nucleation through Hamiltonian Monte Carlo sampling minimum action path; a coring event is packaged into an early warning message, a signature and a delay function timestamp are added, then the early warning message is written into a right and interest proof block chain, a named data network controlled by reinforcement learning is used for self-adaptive copying and distribution, and meanwhile, an action quantity threshold value and a regularization coefficient are dynamically adjusted. According to the invention, minute-level advance, second-level issuing and whole-process traceable meteorological early warning are realized.

The invention discloses a stern shaft sealing device for a ship, and relates to the technical field of ship equipment. The device comprises a tail shaft barrel, a tail shaft, a sediment intercepting assembly, a first sealing unit and a pipeline system. And a sealing structure is arranged in a gap between the stern shaft and the stern shaft barrel. The first sealing unit comprises four sealing leather cups which are arranged in the axial direction and divide the interval into a first installation cavity, a gas cavity, a second installation cavity and a cooling liquid cavity, and the pipeline system is communicated with the gas cavity and the cooling liquid cavity so as to maintain pressure. The core is a buffer structure in the first mounting cavity and the second mounting cavity, and the buffer structure comprises a sealing ferrule, an adjusting assembly and an abutting assembly. When the seawater pressure suddenly increases, the buffer structure converts impact kinetic energy into elastic potential energy and gas compression potential energy through elastic deformation, pressure conduction and the like, pressure buffering is achieved, meanwhile, the sealing performance is dynamically enhanced, seawater backflow is prevented, the ship navigation safety is guaranteed, and the reliability and stability of the sealing device are improved.

The invention discloses a composite energy storage device for peak-average voltage stabilization of an electric power system, and belongs to the technical field of design and construction of energy storage engineering structures. The invention provides the composite energy storage device for peak-average voltage stabilization of the power system, which can effectively improve the energy storage density and the conversion efficiency and obviously reduce the investment cost. The composite energy storage device comprises a gravitational potential energy storage system, a pressure potential energy storage system and a heat energy storage system, the composite energy storage device further comprises a multi-energy coupling energy storage mechanism, and the gravitational potential energy storage system and the pressure potential energy storage system are connected into a whole through the multi-energy coupling energy storage mechanism. The heat energy storage system is connected with the multi-energy coupling energy storage mechanism under the cooperation of the pressure potential energy storage system; in the operation process of the electric power system, surplus electric energy of the electric power system in the peak bottom electricity utilization period is converted into mechanical energy to be stored in the composite energy storage device, and the mechanical energy stored in the composite energy storage device in the peak top electricity utilization period is converted into electric energy to be supplied.

The invention discloses a tethered satellite system dynamics modeling method considering perturbation factors. The tethered satellite system dynamics modeling method comprises the steps that a geocentric coordinate system, an orbital coordinate system of a Kepler orbit where a tethered satellite system is located and a body coordinate system of a unit satellite are established; according to the movement of the centroid of the tethered satellite system on the orbit, the generalized coordinates are the distance from the centroid of the system to the earth center and the true anomaly of the orbit, the Lagrange function of the centroid of the system is obtained; according to the movement of the unit star relative to the centroid, the generalized coordinates are the distance between the unit star and the centroid, the relative first rotation angle and the relative second rotation angle, the relative Lagrange function of the unit star is obtained; comprehensively considering perturbation factors to obtain non-spherical earth, third gravitational force and solar pressure perturbation potential energy; establishing a system kinetic equation considering comprehensive perturbation factors; and obtaining a complete Lagrange equation of the tethered satellite system. The error problem caused by the fact that the master satellite directly serves as the mass point of the system and the influence of comprehensive perturbation on system motion is not considered is solved, and the number of the slave satellites is not limited.

The invention belongs to the technical field of road engineering roadbed treatment, and particularly relates to a riprap silt squeezing depth calculation method based on energy conservation. The calculation method comprises the following steps: S1, assuming a simplified calculation working condition, and respectively calculating gravitational potential energy of block stones and soil blocks by taking the block stones and wedge-shaped soil blocks at the lower part after the block stones enter a soil body as research objects; s2, calculating resistance work and buoyancy work of the block stone in water, side soil shear work of the block stone when the block stone moves in the sludge, and soil pressure and shear work of the soil block; s3, establishing a balance equation of the total potential energy and the total resistance acting; and S4, calculating the riprap silt squeezing depth according to the equation. According to the method, the problem of establishment of the balance equation in the overwater riprap process is solved by utilizing the principle of conservation of energy, the design difficulty of engineers and the extra workload of parameter valuing are effectively reduced on the basis of ensuring the calculation requirement, and the scheme decision-making efficiency is favorably improved.

The invention relates to the technical field of composite material structure dynamics analysis, and provides a method and system for predicting the inherent frequency of a three-phase functionally graded composite material conical plate, and the method comprises the steps: employing an improved Halpin-Tsai model to calculate the equivalent parameters of a GPL-containing two-phase composite matrix, solving the equivalent parameters of a three-phase composite layer, and calculating the inherent frequency of the three-phase composite material conical plate. The method comprises the following steps: constructing a nonlinear geometrical relationship between a displacement field and a strain field, calculating a stiffness coefficient of each layer, constructing kinetic energy of the three-phase composite material conical plate, calculating an energy coefficient according to the stiffness coefficient of each layer, constructing potential energy of the conical plate according to the energy coefficient, and constructing a modal displacement function by adopting a Chebyshev polynomial and a boundary function. And establishing a characteristic equation based on a minimum potential energy principle and solving to obtain the inherent frequency of the three-phase composite material conical plate. According to the method, efficient calculation of the inherent frequency of the three-phase composite material conical plate is achieved, and the reliability and engineering application value of structural dynamics analysis are remarkably improved.

The invention provides a potential energy and electric energy conversion energy storage system grid-connected voltage stability influence assessment method, and belongs to the technical field of electric digital data processing. The method comprises the following steps: firstly, collecting high-precision voltage data to construct a monitoring matrix, and decomposing the monitoring matrix to obtain a stable data matrix and a fluctuation data matrix; carrying out spectrum analysis on the fluctuation data, and extracting and optimizing three types of characteristics of frequency distribution, amplitude change and phase deviation; a feature correlation analysis model is constructed to identify key influence factors and contribution degrees, an evaluation index system is established, and grid-connected voltage stability indexes are calculated; inputting the test data into a pre-trained voltage stability evaluation model; and finally, an influence evaluation matrix is constructed based on a prediction result, the influence degree is quantitatively evaluated from three dimensions of system safety, electric energy quality and power grid stability, and the technical problem that the influence evaluation on the grid-connected voltage stability of the potential energy and electric energy conversion energy storage system is not accurate enough in the prior art is solved.

The invention belongs to the technical field of measurement and data processing, and particularly relates to a slope stability prediction method based on deep learning, and the method comprises the steps: 1, carrying out the periodic scanning of the surface of a target slope through a high-precision laser radar, and obtaining point cloud data; 2, according to the geological data and hydro meteorological data of the slope area corresponding to each rock mass unit, the expansion potential energy of the slope area corresponding to each rock mass unit at each time in the water absorption process is calculated; 3, inputting the mean value output as an input quantity into a pre-trained deep learning auto-encoder, and outputting a potential variable in combination with variance output; and calculating a difference value between the potential variable and the mean value output, and carrying out ratio budgeting on the difference value and a preset basic threshold value to obtain the instability probability of the slope area corresponding to each rock mass unit. The method can dynamically respond to environmental changes, provides a stability evaluation result in real time, and has high prediction precision, real-time performance and adaptability.

A periodic arrangement of magnets are used to form structures that channel the potential energy that a magnet possesses into kinetic energy in a controlled fashion to perform some useful work or function. One function is to create a magnetic chute that converts the potential energy of a magnetic projectile into kinetic energy that is used to channel the projectile to follow a path achieving high velocities along a path. The path is formed by assembling magnets periodically along the path in a certain fashion to create a magnetic chute that allows the magnetic projectile to slide easily along the path since the projectile is confined by the shape of the magnetic chute.

To improve responsiveness to storage and release of electric energy in an energy storage system.SOLUTION: In conversion of electric energy to potential energy, an electric motor 40 is actuated by supply of electric energy, whereby rotating motion of an endless wire 20 between a first position 2 and a second position 4 higher than the first position 2 is caused by the electric motor 40. Then, a plurality of heavy objects 10 at the first position 2 are sequentially attached to the endless wire 20 in the rotating motion, and a heavy object rising from the first position 2 is detached from the endless wire 20 at the second position 4. In reconversion of potential energy to electric energy, the plurality of heavy objects 10 at the second position 4 are sequentially attached to the endless wire 20, whereby rotating motion of the endless wire 20 is caused by the weight of the heavy objects, and a heavy object 10 lowered from the second position 4 is detached from the endless wire 20 at the first position 2. Then, the electric motor 40 is rotationally driven by the endless wire 20 in the rotating motion.SELECTED DRAWING: Figure 1

The invention relates to an isothermal compression energy storage type balanced water system for a deep and far sea floating platform, which consists of a deep and far sea floating platform, an energy storage system, a balanced water system and an intelligent operation and maintenance system, the energy storage system carries out isothermal compression and energy storage on air discharged to the atmospheric environment in the balancing process, and gravitational potential energy and pressure potential energy are accumulated for adjusting the water level of the next water balancing system; when no initial potential energy is stored, the water balancing system serves as a conventional power source for water allocation and stirring and also serves as a power source for isothermal hydraulic air energy storage. The intelligent operation and maintenance system carries out unified intelligent scheduling on all electromechanical equipment in a deep and far sea floating platform, an energy storage system and a balanced water system, ensures ordered operation and maintenance of the balanced water system, feeds back the operation and maintenance state of the equipment in real time, carries out service life prediction on pump valve equipment, and formulates a maintenance plan for feedback information of a far-end control room. And normal operation and maintenance of the deep sea floating type floating platform are guaranteed.