575results about How to "Avoid stability" patented technology

The invention discloses a federal learning data processing method based on privacy protection, and the method comprises the following steps: S1, a client uses local data to train a generator of a generative adversarial network, and generates virtual data similar to the local data in distribution; s2, setting three privacy protection levels according to the privacy sensitivity of the local data; s3, performing model updating operation by using a homomorphic encryption technology; s4, utilizing a dynamic weight optimization mechanism based on a multi-arm bandit algorithm to obtain a priority processing data set; s5, preliminarily updating the global model, analyzing generated data through a reverse inference detection mechanism, and judging whether a privacy disclosure risk exists or not; s6, the server feeds back the updated global model to the client, and the client continues personalized model training in combination with local data; and S7, generating new virtual data, and carrying out the next round of global model training. According to the method, the generative adversarial network, differential privacy and homomorphic encryption are combined, so that efficient federated learning under privacy protection is realized.

The invention discloses a low-voltage power distribution area topology identification method and system based on clustering analysis and a graph theory, and relates to the technical field of low-voltage power distribution area topology classification. The system can accurately identify the topological structure of each partition through the combination of a clustering analysis model and a graph theory algorithm, and automatically calculate a topological characteristic coefficient Tp; therefore, the complex topological structure of the power distribution area can be classified and analyzed more carefully and comprehensively. According to a traditional method, accurate classification is often difficult when a complex branch structure is faced, and a topology recognition module ensures the accuracy of a classification result through a calculation mode of a graph theory. Through the feedback management module, when the power performance risk coefficient Lpjx of the partition exceeds a safety threshold R, a fault early warning signal can be sent out in time, abnormal nodes are automatically identified, faults are isolated, meanwhile, load transfer is executed, the power demand is rapidly transferred to the normally operating partition, and the power failure range and time are reduced.

The invention provides an intelligent optimization control method and platform under variable load operation of a coal-fired power plant, and relates to the technical field of intelligent optimization control, and the method comprises the steps: calling historical operation data, carrying out the load trend change analysis, and completing the construction of a control analysis module; analyzing and outputting instantaneous PID control parameters according to the real-time load data; after the instantaneous PID control parameters are switched to, a flue gas emission acquisition module is activated; real-time flue gas emission parameters are obtained; performing denitration control optimization to obtain a real-time PID control parameter, and switching to the real-time PID control parameter; presetting a flue gas emission window, dynamically updating real-time flue gas emission parameters, dynamically updating real-time PID (Proportion Integration Differentiation) control parameters and performing seamless switching control on an SCR (Selective Catalytic Reduction) system. The control method solves the technical problem that when a control method in the prior art is used for dealing with an SCR system, efficient control is difficult to achieve under the dynamically-changing load condition, and then the denitration effect and the system stability are affected.

The invention relates to the technical field of carrier communication, in particular to a multichannel power line carrier communication system which comprises a data acquisition module, a first determination module, a second determination module, a judgment module, a selection module, a sending module and a correction module. According to the invention, through an accurate data acquisition and real-time determination mechanism, complex environment changes in a power network can be effectively dealt with, stability and high efficiency of communication are ensured, channels with optimal parameters such as signal strength, noise, delay and the like are optimized through multi-stage screening and determination, channels with relatively large interference and noise are effectively avoided, and the communication efficiency is improved. Meanwhile, the correction module can adjust the intensity threshold value in real time, it is guaranteed that the system still maintains excellent communication performance when the number of channels fluctuates and the network load changes, and the problems that due to the fact that the attention degree of the influence of real-time environment changes on signal quality is low, channel selection is inaccurate, and verification results are deviated are effectively solved.

The invention discloses a rigidity-adaptive three-degree-of-freedom low-frequency electromagnetic vibration isolator, and belongs to the technical field of precise vibration isolation. The rigidity-adaptive three-degree-of-freedom low-frequency electromagnetic vibration isolator comprises three sets of low-frequency electromagnetic vibration isolators formed by connecting rigidity-adaptive electromagnetic arrays and spiral springs in parallel. The spiral spring stably supports the load in a passive mode and effectively isolates vibration of middle and high frequency bands; the rigidity self-adaptive electromagnetic array generates high negative rigidity through a moving magnetic array and a fixed magnetic array which are composed of four columns of vertically magnetized equal-cross-section cubic permanent magnets, coil current is adjusted in real time through acceleration feedback, external excitation and load mass changes are responded, the negative rigidity is dynamically adjusted, and the requirement for three-degree-of-freedom near-full-band vibration isolation is met. The vibration isolator has adjustable low dynamic rigidity in the vertical and horizontal rotation freedom degrees, the vibration isolation frequency is low, the frequency band is wide, a super-quiet environment is provided for tip equipment, and the instrument precision is remarkably improved.

The invention relates to the technical field of unmanned ships, and discloses an unmanned ship with a gravity center self-adaptive adjusting device, which comprises a supporting floating body, a gravity center self-adaptive adjusting device, a gravity center self-adaptive adjusting device and a gravity center self-adaptive adjusting device, the driving mechanism is used for providing necessary power for the catamaran; the cross beam mechanism is used for connecting and supporting the floating body and a main body of the ship. According to the unmanned ship with the gravity center self-adaptive adjusting device, the gravity center shifting mechanism is arranged, when the gravity center self-adaptive adjusting device detects that the operation environment of the unmanned ship is gentle, the bottom platform can descend through the telescopic cylinder, the bottom platform drives the vertical connecting plate and the middle floating body to move downwards, and therefore the area, making contact with water, of the middle floating body is increased; therefore, the wet surface area of the ship can be enlarged, frictional resistance can be fully reduced during high-speed operation, and when the gravity center self-adaptive adjusting device detects that the operation environment of the unmanned ship is severe, the battery can be driven to regulate and control the gravity center, the speed can be properly reduced, and operation safety is kept.

The invention discloses an electric power system data driving damping controller under false data injection attack, and relates to the technical field of novel electric power system control and network security, and the electric power system data driving damping controller comprises the following steps: S1, aiming at a wide area measurement signal of a damping controller, determining a condition that an attack signal reaches system stability destroying, and constructing multiple types of false data injection models; s2, designing an attack detection mechanism and an attack compensation module based on a threshold value according to the attacked controller measurement signal; s3, establishing a data driving model corresponding to the controlled system under the action of attack compensation; according to the method, the output signal of the controller is updated and the output of the controlled power system at the next moment is predicted by using the online I / O data of the controlled power system, so that the method can adapt to various operation conditions and is high in self-adaptability; the method has the capability of resisting false data injection attacks, the influence of the communication risk of network attacks on the system stability can be avoided, and the robustness of the controller is improved.

The embodiment of the invention provides a data migration method and device, computer equipment and a readable storage medium. The method comprises the steps that at least one source storage volume needing to be migrated is determined, and a load negative influence factor is obtained; migrating data in the source storage volume, and determining a first utilization rate of the source storage volume in a migration process; determining a utilization rate threshold value of the source storage volume, and determining a first adjustment granularity of a read-write rate of a target block device receiving the source storage volume; and sending a read-write rate adjustment instruction for the corresponding target storage volume to the target block device, so that the target block device performs smooth adjustment on the read-write rate of the target storage volume step by step according to the first adjustment granularity according to the read-write rate adjustment instruction, thereby performing smooth adjustment on the read-write rate of the source storage volume step by step, the first utilization rate of the source storage volume is adjusted to the utilization rate threshold value; and after the data migration is finished, stopping the data migration operation. Therefore, the flexibility of data migration can be improved.

The utility model provides an automatic sensing device suitable for orthopedic surgery. The automatic sensing device comprises a force sensor, a visual sensor and a drilling module which are used for being assembled on a mechanical arm of a surgical robot. Wherein the drilling module is used for assembling a drilling tool and pushing the drilling tool to execute drilling operation; the force sensor is used for detecting torque information of the drilling tool in the drilling operation; the visual sensor is used for acquiring image data of an operation area; wherein the force sensor, the visual sensor and the drilling module are respectively connected with a control system of the surgical robot; and the control system is used for receiving the moment information and the image data and controlling the drilling module to drill towards the surgical area at the target moment. By means of the device, the position and action of the drilling tool can be accurately controlled so as to assist a doctor in completing an operation, application in complex and fine operations is achieved, the complexity in the operation process is reduced, and the operation time is shortened.

The invention provides a temperature detection method, a heating power control method and semiconductor equipment. The temperature detection method comprises the following steps: acquiring a current temperature measurement value and a current rotation position of a reference support fork, and determining a current light path included angle according to the current rotation position and the number of support forks; calculating a temperature correction coefficient according to the current light path included angle, the current temperature measurement value and the current rotation position; and calculating a current temperature measurement average value according to the N historical temperature measurement values and the current temperature measurement value, calculating a current temperature measurement correction value according to the temperature correction coefficient and the current temperature measurement average value, and taking the current temperature measurement correction value as a current temperature detection value output by the temperature measurement device. According to the method, in the temperature measurement data processing process, the light path included angle and the rotation position are introduced, compared with an existing data average processing mode, the temperature measurement data stability is improved, accurate control over the real-time temperature can be achieved, meanwhile, temperature overshoot is effectively restrained, and therefore the temperature control stability of the heat treatment cavity is improved.

The invention discloses a gas vortex refrigeration state regulation and control method and system, and aims to compensate energy loss and improve refrigeration efficiency, the method comprises the following steps: step 1, acquiring historical refrigeration data of a refrigerator, analyzing according to the historical refrigeration data of the refrigerator to obtain an energy loss condition in a gas vortex refrigeration process of the refrigerator, and calculating a gas vortex refrigeration state of the refrigerator; calculating to obtain an energy adjustment coefficient; and 2, gas vortex refrigeration parameters are obtained according to the energy adjustment coefficient, and energy loss in the gas vortex refrigeration process of the refrigerator is compensated.

The invention belongs to but is not limited to the technical field of electrical control, and particularly relates to a DC-DC converter control method and system based on adaptive droop control, and the method comprises the steps: deducing a corresponding mathematical model before designing a controller of an interleaved multi-level boost converter; the original nonlinear model can be converted into a regular linear form by using the new state variable; the converted reduced-order model is equivalent to the differential homomorphism of the reduced-order model, a control target can be changed, and the total storage energy gradually tracks a reference value of the reduced-order model; aiming at a state variable and a disturbance quantity in an established system model, designing a self-adaptive sliding-mode observer which can compensate a disturbance influence in a feedforward mode; controlling a state variable by using a sliding mode controller based on a disturbance observer; a phase current balance compensator is designed, wherein simple and effective phase current balance compensation is adopted in a closed-loop interleaving multi-level boost converter system; a typical distributed control strategy, namely droop control, is added in the system.

The invention relates to the technical field of centralizers, in particular to a variable-diameter oil pipe centralizer. Comprising a centralizer body, the centralizer body comprises symmetrically-distributed guide rings, symmetrically-distributed connecting rings and a plurality of spring walls, the connecting rings are fixedly connected between the symmetrically-distributed guide rings, and the spring walls are fixedly connected between the symmetrically-distributed guide rings; the number of the sliding rods is the same as that of the spring walls, and the sliding rods are fixedly connected to the adjacent spring walls and are in sliding connection with the adjacent connecting rings; the number of the extrusion frames is the same as that of the sliding rods, and the extrusion frames are connected into the adjacent connecting rings in a sliding mode. The sliding rod is limited, so that the middle of the lower side spring wall does not deform any more, the situation that the lower side spring wall is affected by the gravity of an oil pipe and the oil pipe integrally moves downwards is prevented, and therefore the situation that large stones on the lower side in the well wall directly make contact and rub with the oil pipe, the oil pipe is damaged, and then the exploitation efficiency of an oil well is affected is avoided.

The invention relates to the technical field of perfluorinated compound detection, and discloses a method for full-automatic on-line rapid detection of perfluorinated compounds in water, which comprises the following steps: pretreating a water sample to obtain a sample to be detected, and placing the sample to be detected in a sample introduction disc of an on-line solid-phase extraction device; full-automatic online solid-phase extraction (Online SPE) enrichment and purification: automatically enriching and purifying the to-be-detected liquid in the step 1 by utilizing the Online SPE through an online solid-phase extraction small column, realizing alternate sample injection of double columns through valve switching, washing the other column during sample loading of one column, eluting a target object, and performing UPLC-MS / MS analysis. On the basis of a full-automatic on-line solid phase extraction-high performance liquid chromatography-tandem mass spectrometry technology, the method for full-automatic on-line rapid detection of the perfluorinated compounds in the water is successfully established in combination with an iRefx rapid screening intelligent working process, and the perfluorinated compounds in the water can be rapidly detected in a full-automatic on-line mode through the Online SPE and the iRefx rapid screening intelligent working process. Automatic sample injection, online enrichment and purification, intelligent judgment of sample concentration, overlimit sample redetection and accurate quantitative analysis are realized, and the detection efficiency is remarkably improved.

The invention provides a scheduling method and system for a photovoltaic energy storage system, and relates to the technical field of photovoltaic energy storage, and the method comprises the steps: obtaining the rated power generation parameters of a photovoltaic panel in the photovoltaic energy storage system, and the future illumination and temperature data of an area where the photovoltaic panel is located, and predicting the future power generation amount of the photovoltaic panel; the overall scheduling strategy of the scheduling system is determined according to the obtained battery real-time storage capacity of the energy storage system, the future equipment electricity consumption and the predicted generating capacity of the photovoltaic panel, when the future generating capacity of the photovoltaic panel cannot meet the electricity demand, the electricity is scheduled from the power grid preferentially, and a pre-scheduling model is established; when the future generating capacity of the photovoltaic panel can meet the requirement, the residual generating capacity of the photovoltaic panel is sent to the power grid, scheduling is carried out between the residual storage capacity of the energy storage system and the power grid, the peak valley pressure of the power grid is relieved, and by establishing a first scheduling model, the electric quantity is scheduled, and a first scheduling optimization model is established; and optimizing and adjusting the scheduling result of the first scheduling model.

The invention relates to the technical field of power system automatic control, in particular to a large-scale energy base energy storage configuration method considering new energy consumption, which comprises the following steps: S1, data collection: collecting meteorological station data and collecting load data; s2, prediction network establishment: forming a trained output prediction network; s3, load data clustering and load scene construction: constructing K types of load scenes, and generating K types of delivery plan curves; s4, output curve prediction: forming a wind power plant and photovoltaic power station prediction output curve; s5, transmission power constraint and confidence probability analysis: setting different power transmission confidence probabilities in combination with the matching condition of the outgoing active planned power and the load curve of the receiving-end power grid; s6, optimal configuration of the energy storage system: adopting an NSGA-II algorithm for optimization, and finally determining the optimal configuration capacity of the energy storage system; according to the invention, the stability of the power transmission plan power can be ensured, and the power transmission efficiency of the DC channel is maximized.

The invention provides a fixed horizontal tail type fly-by-wire aircraft leveling control law design method, which comprises the following steps of: when an aircraft meets a condition of entering a leveling control law, recording a flight control law integral channel instruction ELNMINT at a triggering moment; generating an elevator control command component ELFLAREFWD through a forward command shaping module based on the joystick displacement signal; the method comprises the following steps: introducing an integral channel instruction ELNMINT into a leveling control law, and obtaining a bias instruction component ELFLAREOFFSET under the leveling control law after the integral channel instruction ELNMINT passes through an instruction amplitude limiting module; subtracting the bias instruction ELFLAREOFFSET from the integral channel instruction ELNMINT to obtain an instruction initial value ELFLAREFADER0 which needs to be faded during instruction transition; after the instruction initial value ELFLAREFADER 0 passes through a desalting device module, a real-time control surface control instruction component ELFLAREFADER is formed; and an elevator control instruction ELCMD under the leveling control law is obtained. According to the method, the switching transient state can be reduced by introducing the flight control law integral channel instruction component into the leveling control law, and the method has remarkable advantages in the aspects of improving the flight safety, optimizing the flight quality, enhancing the system flexibility, improving the automation level and the like.

The invention provides an unmanned underwater vehicle trajectory tracking control system based on preset time and performance, and aims to improve trajectory tracking precision and stability in underwater operation tasks. The method comprises the following steps: establishing an unmanned underwater vehicle mathematical model; designing a preset time preset performance function, and introducing an adjustable function changing along with time to enable the boundary function to have a smooth characteristic in a convergence process; a time-varying gain auxiliary system is adopted to process an input saturation problem; designing a disturbance observer to realize rapid attenuation of disturbance, and enhancing the robustness of the system by introducing a residual adjustment function based on a smooth nonlinear model; and finally, integrating the interference observer and an auxiliary system to deduce a trajectory tracking scheme. The result shows that the longitudinal speed fluctuation is reduced by 69.2%, and the swaying speed fluctuation is reduced by 32.7%; the north position tracking performance is improved by 30.8%, the east position tracking performance is improved by 16.7%, the speed fluctuation is effectively reduced, and the tracking performance, the system stability and the anti-interference capability are improved.

The invention provides an index system construction method and system for electricity market operation, and the method comprises the steps: integrating data from different sources of an electricity market, and carrying out the preprocessing of the data; pre-processed data are obtained, and self-supervised data extraction is carried out on the data from the pre-processed data; constructing a power market multi-task meta-learning optimization model; a real-time operation index system of the electricity market is constructed and dynamically adjusted; a multi-target strategy optimization algorithm is constructed, and an optimal market strategy is designed according to the market indexes adjusted in real time; and carrying out system learning and system adaptive updating according to the optimal market strategy, and keeping the optimal performance. By combining meta-learning and self-supervised learning technologies, the system can quickly adapt to different market environments and scenes, automatically mine and generate key operation indexes from large-scale unmarked power market data, and realize real-time updating and optimization of the index system.

The invention relates to the technical field of probe card testing, and particularly discloses a probe card full-automatic testing system and a testing method.The probe card full-automatic testing system comprises a testing box, a conveying frame is fixedly arranged in the testing box, the left side and the right side of the conveying frame penetrate through the left side and the right side of the testing box, and a discharging frame is fixedly arranged on the rear portion in the testing box; and one side of the discharging frame extends to the rear part of the testing box. By synchronously recording the test parameters of each probe card, detailed data support is provided for subsequent quality analysis, the surface quality of the probe cards is checked before testing, the defective probe cards can be removed in time, invalid test processing on the defective products is avoided, and for the probe cards produced in batches, the test efficiency is greatly improved. The pre-screening mode can greatly improve the overall test efficiency, not only saves the test time, but also improves the utilization rate of test resources, reduces the operation time and energy consumption of equipment, and reduces the operation cost.

The invention provides a drilling machine posture adjusting device and a mining drilling machine. The drilling machine posture adjusting device comprises a central controller, an inclination angle detector, a height detector, an azimuth angle detector, a bearing frame, a base frame, a lifting adjusting assembly, an inclination angle adjusting assembly and an azimuth angle adjusting assembly. The central controller corrects the inclination angle of the drill bit to a set value by controlling the inclination angle adjusting assembly to work; when the height detector detects that the height of the drill bit deviates from a set value, the central controller corrects the height of the drill bit to the set value by controlling the lifting adjusting assembly to work; when the azimuth angle detector detects that the azimuth angle deviates from a set value, the central controller corrects the azimuth angle to the set value by controlling the azimuth angle adjusting assembly to work; according to the method, the drilling efficiency is improved, the drilling precision is guaranteed, the overall drilling construction time is effectively shortened, and efficient construction operation under a mine is facilitated.

The utility model discloses a sports shoe upper and a shoe, the sports shoe upper comprises a shoe upper base layer, the shoe upper base layer comprises a first splicing part, a second splicing part and a third splicing part, the first splicing part corresponds to a forefoot area and a heel area of a human foot; the second splicing part is positioned in the middle section area of the arch between the front sole area and the heel area; the third splicing part extends along the edge of the vamp, is connected with the sole and is connected with the first splicing part and the second splicing part; the fixing line is arranged at the junction of the first splicing part, the second splicing part and the third splicing part; the vamp base layer is formed by splicing a first splicing part, a second splicing part and a third splicing part, and the splicing parts are regions which are formed by weaving TPU yarns in an interweaving mode and have different weaving intensities. According to the sports vamp and the shoe, the softness and hardness of each part of the vamp base layer are adjusted by arranging the areas with different weaving intensities on the vamp base layer, the vamp fits the foot movement of a user, and the sports performance of the user is improved.

The utility model provides wind prevention and sand fixation equipment in land reclamation, which relates to the technical field of wind prevention and sand fixation equipment and comprises a first shell, a third shell fixedly connected to the top of the first shell, a supporting plate fixedly connected to one side of the third shell, a telescopic rod fixedly connected to the bottom of the supporting plate, and a fourth shell fixedly connected to the bottom of the telescopic rod. A second motor is fixedly connected to one side of the inner wall of the fourth shell, an extrusion piece is fixedly connected to the output end of the second motor, a threaded rod is rotationally connected to the upper surface of the fourth shell and is in threaded connection with the supporting plate, and a handle is fixedly connected to the upper surface of the threaded rod. The height of the extrusion sheet can be adjusted according to the land desertification degree, and the flexibility and practicability of the device are improved; straw slides down to the ground along the first auxiliary plate to be evenly arranged, and the situation that the density of the straw around the straw checks is uneven, so that the stability of the straw checks is affected, and the whole straw checks are unstable in structure is avoided.

The invention discloses a laser optical fiber polarizer system suitable for compact ring plasma, which comprises a laser, a first optical fiber coupler, a circularly polarized light generation module, a first collimator, a second collimator, a second optical fiber coupler, a second polarizer, a photoelectric converter and a data processing module, according to the laser fiber polarimeter system, non-contact elements for diagnosing and testing the compact ring plasma are reasonably arranged, so that high-precision testing of density and magnetic field information of the compact ring plasma is realized. According to the invention, the reference signal is compared with the measurement signal passing through the plasma, the phase difference between the signals can be extracted through phase demodulation, and then the density and magnetic field information can be obtained according to the Faraday effect; in addition, the use of open optical devices is reduced, the cost is greatly reduced, the platform building time is shortened, and meanwhile, the interference of the external environment in the experiment process is also reduced.

The invention relates to the technical field of welding wire drawing equipment, in particular to flux-cored wire drawing equipment. According to the technical scheme, the device comprises a rack, a winding drum for winding welding wires is rotationally installed on the rack, a wiring mechanism enabling the welding wires to be evenly distributed on the winding drum is installed on the rack, a power mechanism for driving the winding drum to rotate is installed on the rack, the device further comprises a constant-speed control component, and the constant-speed control component is installed on the rack. The constant-speed control component controls the rotating speed of the winding drum according to the current diameter of superposition after the winding drum is wound with the welding wire. When the diameter of the winding drum is gradually increased, the diameter of a circle formed by the multiple tensioning blocks is reduced, then the angular speed of the winding drum is reduced, the linear speed of the edge of the winding drum is kept unchanged, and then the stretching speed of a welding wire can be kept unchanged; and therefore, the same batch of welding wires wound on the same winding drum can be kept at a constant stretching speed, and the same quality of the same batch of welding wires is effectively ensured.

The invention relates to the technical field of machine learning, in particular to a keyboard key pressure identification method and device based on deep learning. The method comprises the following steps: acquiring initial pressing stroke data of a single key of a keyboard; performing pressure measurement on a single key corresponding to the initial pressing stroke data by using a pressure sensor to obtain keyboard key pressure measurement data; keyboard pressing effective stroke screening is carried out on the initial pressing stroke data of the single key of the keyboard through the keyboard key pressure measurement data, and keyboard pressing effective stroke data are obtained; obtaining keyboard key structure data; and performing three-dimensional pressing depth identification on the keyboard key pressure measurement data according to the keyboard pressing effective stroke data to generate keyboard three-dimensional pressing pressure identification data. According to the method, through a multi-step technology of accurate pressing stroke screening, three-dimensional pressure distribution identification, mistaken touch correction, contact optimization and the like, the accuracy and error interference of keyboard key pressure identification are improved.

The invention discloses a vehicle torque control method and device, a storage medium and a vehicle. The method comprises the steps that torque demand information and vehicle state information of a target vehicle are obtained, the torque demand information comprises a target torque condition and current period demand torque, the current period demand torque is used for controlling a motor to conduct torque output in the current period, and the vehicle state information at least comprises a load signal and a slope signal; determining a torque gradient model of the target vehicle based on the vehicle state information; and performing torque adjustment of at least one period on the demand torque of the current period by using the torque gradient model until the demand torque of the current period meets the target torque condition. By means of the technical scheme, it is ensured that the vehicle torque is adjusted to the target torque within a limited period, negative influences on vehicle stability and energy efficiency caused by sudden torque changes when the torque is adjusted at a time are avoided, and the running stability and comfort of the torque vehicle are ensured.

The invention discloses a heavy-load precise micro-vibration isolation rigidity regulation and control configuration based on a vertical magnetization space electromagnetic array, and belongs to the technical field of precise vibration isolation. According to the vertical magnetization space electromagnetic array, 2n + 1 (n > = 1, n belongs to N +) layers are arranged in an array mode in the axial direction, a movable magnetic ring array and a fixed magnetic ring array are coaxially nested to construct a single-side high-flux-density magnetic field, wherein the movable magnetic ring array is composed of vertical magnetization uniform-section magnetic rings between the adjacent layers, and the high negative stiffness characteristic is achieved; and an acceleration feedback control algorithm is adopted to regulate and control the size and the direction of electrifying current in the coil so as to generate precise and controllable excitation magnetic flux and dynamically regulate the negative stiffness value. The vertical magnetization space electromagnetic array and the large-scale air floating micro-vibration isolator are connected in parallel to support the load platform, so that the local low dynamic stiffness characteristic can be generated under variable heavy load, the vibration isolation inherent frequency is effectively reduced, the vibration isolation frequency band is expanded to be close to a full frequency domain, and the vibration isolation efficiency is improved. And an ultra-quiet working environment is provided for tip instruments and equipment such as an ultra-precise photoetching machine, a high-resolution satellite camera and an ultra-precise machine tool, so that the leap-type improvement of the precision of the precise instruments and equipment is powerfully promoted.

The invention discloses a method for improving the solving speed of a rotating sphere non-singularity electromagnetic scattering field, and belongs to the field of electromagnetic engineering. Aiming at the electromagnetic scattering problem of a rotating structural body in the field of practical engineering, the invention provides a method for improving the non-singularity electromagnetic scattering field solving speed of a rotating body, and effective analysis of the rotating body is realized based on a moment method. A rotating structure body has important application value in electromagnetic radiation and scattering research due to geometric symmetry, but under the condition of long wavelength, a traditional surface integration method often has the problem of singularity, and numerical stability and precision are affected. Therefore, a method for effectively eliminating singular integrality and converting a dense matrix needing to be solved into a sparse matrix is designed, the calculation efficiency is remarkably improved, and the memory consumption is reduced. A non-singularity surface integral equation is obtained through derivation, simulation and numerical simulation are carried out through a specific electromagnetic rotating body device model, an efficient numerical solution is provided for the electromagnetic scattering problem, and the method has wide engineering application prospects.

The utility model relates to the technical field of gas safety valves, and discloses a simple safety valve which comprises a valve body, a valve cover, a valve element, a rotating shaft, an elastic reset piece, an electromagnetic valve assembly, an ejector rod and a gas outlet pipe assembly. The valve body is provided with an air inlet, a valve element cavity and a ventilation cavity. The distance between the central axis of the air inlet and the end face of the valve cover is L; the distance L is 23 to 33 mm; the air outlet pipe assembly comprises a first air outlet pipe section; the distance between the central axis of the air inlet and the central axis of the first air outlet pipe section is D, and the distance D ranges from 10 mm to 18 mm. The simple safety valve has the advantages of being compact in structure and small in size design, the size range of key components is accurately controlled, the design layout is optimized, the compactness of the structure is guaranteed, and the situation that the structure is unstable and the size is too large due to the fact that the distance is too long is avoided. Meanwhile, factors such as manufacturing cost and installation convenience are fully considered in determination of the distance ranges, so that the safety valve has better applicability in practical application.