16results about How to "Achieve life" patented technology

The intelligent twist lock for the container ship comprises a lock body master control box, an upper lock head driving box and a lower lock head driving box are arranged on the upper portion and the lower portion of the lock body master control box respectively, an upper lock head is arranged on the top of the upper lock head driving box in a sliding mode, and a lower lock head is arranged at the bottom of the lower lock head driving box in a sliding mode; an upper lock head driving assembly is arranged in the upper lock head driving box, and a lower lock head driving assembly is arranged in the lower lock head driving box. A lock body information chip convenient for a ship remote control platform to remotely operate the twist lock is arranged on the front side of the upper lock head driving box; the lock body information chip and the control module are additionally arranged on the twist lock, and the twist lock is in communication connection with the ship remote control platform, so that key data basis and equipment support are provided for intelligent stowage and yard automatic management of the container ship; the driving motor is matched with the precise spiral lifting and rotating mechanism, so that the whole process automation of locking and unlocking of the twist lock is realized, the working efficiency is greatly improved, and the labor intensity is reduced.

This application discloses a battery state estimation method, apparatus, device, storage medium, and product, relating to the field of battery management system technology. The method includes: acquiring the original operating dataset of the target battery; performing spatiotemporal alignment and data fusion on the original operating dataset to obtain a spatiotemporally synchronized operating state field; performing multiphysics coupling reconstruction based on the operating state field to obtain an internal state field; obtaining degradation characteristics and stress field based on the internal state field through a damage evolution model; and obtaining battery state estimation results based on the degradation characteristics and stress field. Compared to existing methods, this application constructs an analytical framework combining multiphysics coupling reconstruction and a damage evolution model, mapping surface-measurable electrical and temperature data to a state field inside the battery that is difficult to measure directly, and further extracting degradation characteristics and stress evolution laws, thereby achieving estimation of battery health status and remaining life.

The application discloses a solid superacid catalyst and a preparation method and application thereof, and relates to the technical field of catalysts, and specifically discloses the preparation method of the solid superacid catalyst, which comprises the following steps: dissolving a zirconium source, a titanium source, silica sol, urea and hexadecyl trimethyl ammonium bromide in water to prepare a precursor solution; heating the precursor solution to react, wherein the pH value of the system is increased from acidity to alkalinity during the reaction, and a reaction slurry is obtained; performing hydrothermal aging treatment on the reaction slurry, and then collecting the obtained precipitate; treating the precipitate with a rare earth salt solution to obtain a rare earth modified product; immersing the rare earth modified product in a sulfuric acid solution; and performing calcination on the immersed product to obtain the solid superacid catalyst. The solid superacid catalyst provided by the application has a regular sheet-like morphology and a composite structure of silica-rare earth synergistically anchoring sulfate, can guarantee high catalytic activity, realize strong anchoring of active components and rapid separation of the catalyst, and significantly improves the recycling stability.

A brake pad wear monitoring control method, device, equipment and storage medium, comprising: according to the collected brake caliper data, vehicle working condition data and driving behavior data, feature engineering extraction is carried out to obtain input feature data; the input feature data is subjected to multi-physical field coupling simulation wear prediction to obtain a first wear prediction result, the input feature data is subjected to data-driven wear prediction to obtain a second wear prediction result, and the first wear prediction result and the second wear prediction result are weighted and fused to obtain a wear prediction output; a brake force fine adjustment instruction is generated according to the wear prediction output, and the brake force of each brake pad is adjusted according to the brake force fine adjustment instruction. The application improves the adaptability of complex environment prediction and the explainability of decision process by combining multi-physical field coupling simulation and data driving; through generating a brake force fine adjustment instruction according to the wear prediction output, active intervention and life optimization of brake pad wear are realized, and the service life of the overall braking system is prolonged.

This utility model relates to the technical field of biogas engineering equipment, specifically a liftable biogas digester homogenizing and stirring device, which solves the problems mentioned in the background art. It includes a hydraulic cylinder, the output end of which is connected to a motor housing, which houses a motor. The output end of the motor is connected to a stirring shaft, and stirring blades are mounted on the end of the stirring shaft away from the motor. The hydraulic cylinder is installed inside a hydraulic cylinder housing, with crossbars connected to both sides of the housing. A side slide rail is connected to the end of each crossbar away from the housing, and a hanging rod is fixedly connected to the middle of the crossbars. A top slide rail is connected to the end of the hanging rod away from the crossbars, and a pull rope is provided in the middle of the hanging rod. This utility model uses a hydraulic cylinder to drive a liftable stirring structure, combined with three-bladed propeller blades (with anti-winding serrations and guide ribs) to improve stirring efficiency and prevent clogging.

The invention discloses a probabilistic life prediction method and device for a high-temperature rotating component, and relates to the technical field of life reliability analysis, and the method comprises the steps: building a finite element model of the high-temperature rotating component, and determining at least one group of working condition parameters of the high-temperature rotating component and the cycle index corresponding to each group of working condition parameters; the working condition parameters comprise strain amplitude and load holding time; based on a finite element model, according to all the working condition parameters of the high-temperature rotating part and the cycle index corresponding to each group of working condition parameters, adopting a probability life prediction model to obtain the crack initiation reliability of the high-temperature rotating part; the probabilistic life prediction model is a unified constitutive-damage-statistical model which is subjected to parameter calibration in advance according to a constant-amplitude fatigue and creep-fatigue test result; and determining the fatigue and creep-fatigue probability life of the high-temperature rotating part according to the crack initiation reliability. According to the method, the fatigue and creep-fatigue probability life of the high-temperature rotating part under the constant-amplitude and variable-amplitude load can be quickly and accurately predicted.

The invention discloses a performance testing device and testing method for an air filter, and belongs to the technical field of testing devices. Comprising a detection mechanism, a material storage assembly comprises a material box, two sets of partition plates are installed in the material box, the material box communicates with an air inlet pipe of the detection mechanism through a discharging pipe, and the partition plates divide the material box and the discharging pipe into three material areas; the adjusting assembly comprises a motor, a supporting shaft is installed at the output end of the motor, a feeding wheel is installed on the supporting shaft and rotationally connected with the discharging pipe, a plurality of material grooves and a plurality of adjusting holes are formed in the feeding wheel, and the material grooves and the adjusting holes which are adjacent in the axial direction are separated through partition plates. The feeding wheel is provided with two feeding channels including the material groove and the adjusting hole, the feeding amount of different channels can be controlled by matching with radial movement of the adjusting frame, mixed input of single-particle-size dust and dust of various particle sizes according to different proportions can be achieved, the feeding concentration of the dust of the same particle size can be adjusted, and the feeding efficiency is improved. Therefore, various actual use environments such as urban road construction sites, deserts and the like are simulated.

The application discloses a high-anti-crack self-repairing fly ash geopolymer fireproof coating and a preparation method and application thereof, and belongs to the technical field of fireproof materials, and comprises the following raw materials in parts by weight: geopolymer powder 70-80 parts, active expansion component 3-6 parts, high-temperature self-repairing component 2-5 parts, heat insulation filler 10-25 parts, rheological modifier 1-2 parts and water 45 parts. The application selects fly ash geopolymer as the matrix of the fireproof coating, the fly ash geopolymer has excellent fireproof performance, meanwhile, the microcrystalline toughening effect of superfine fly ash is used, the use of fibers can be avoided, the adverse influence of the fibers on the interfacial adhesion is avoided, the green low-carbonization and long service life of the steel structure fireproof protective coating can be realized, and the sustainable development of industrial solid waste resource utilization and building fireproof materials is promoted.

The application provides a method for brake thermal overload protection in the autonomous driving-out stage of a UAV, a control device and a medium, and relates to the technical field of UAV control. The method comprises: constructing a brake energy inheritance mechanism, taking the cumulative brake energy of landing deceleration sliding as the initial value for calculation in the autonomous driving-out stage; after starting the autonomous driving-out program, collecting brake pipeline pressure and wheel speed in real time, and dynamically calculating the cumulative total brake energy in the autonomous driving-out stage through an integral algorithm; based on the ratio of the cumulative energy to the thermal overload design threshold, executing a hierarchical response strategy, including early warning, autonomous braking and switching to emergency traction. Through the whole-cycle management of "energy inheritance + real-time integration + hierarchical response", the application solves the thermal overload risk caused by the energy superposition in the landing and driving-out stages, overcomes the limitations of traditional temperature monitoring lag and pressure limiting method, and effectively prolongs the service life of the brake disc and guarantees the operation safety.

The application provides a kind of fatigue life prediction method of additive manufacturing material under random load spectrum based on continuous damage mechanics, comprising: constructing the constitutive equation coupled with damage and the damage evolution equation considering additive manufacturing process;Adopt particle swarm algorithm to calibrate the parameters of constitutive equation and damage evolution equation;Convert the random load spectrum of finite length from time domain to cycle domain using rainflow counting method, obtain the cycle domain load information sequence;Based on the calibrated constitutive equation and damage evolution equation, using finite element-based numerical calculation method, combined with the damage evolution law coupled with damage, construct the finite element model of additive manufacturing material specimen;Based on the finite element model of additive manufacturing material specimen, the cycle domain load information sequence is simulated and calculated, and the fatigue damage calculation and life prediction of additive manufacturing material specimen under random load spectrum are completed.The application provides technical support for reliability design and life management of additive manufacturing material structure.

The application discloses a multi-source data photovoltaic panel damage-power generation performance correlation prediction method, relates to the photovoltaic power generation technical field, and comprises the following steps: acquiring photovoltaic panel image data collected by unmanned aerial vehicle inspection and collecting real-time power generation performance data recorded by a power station monitoring and data acquisition system; through timestamp matching and space position mapping, time-space alignment of the data is realized; a lightweight defect detection model is used to identify defects of the photovoltaic panel and extract damage feature vectors thereof; power generation performance parameters of the photovoltaic panel unit in the same time period are extracted from the power generation performance data, and according to reference component data without damage in the same power station, the relative performance loss rate of the photovoltaic panel unit is calculated; a correlation prediction model is trained by using a machine learning algorithm; new unmanned aerial vehicle inspection data are input into the correlation prediction model by extracting damage feature vectors thereof, and a power generation performance loss prediction value of the photovoltaic panel unit is output.

The invention discloses a preparation method and preparation and detection equipment of a high-efficiency low-resistance waterproof piezoelectric filter material, and the preparation method comprises the following steps: carrying out liquid-phase ultrasonic stripping on MoS2 to prepare a MoS2 dispersion liquid, mixing the MoS2 dispersion liquid, fluorinated SiO2 nanoparticles and a polyvinylidene fluoride solution, carrying out ultrasonic treatment and stirring to prepare a three-phase composite spinning solution, and carrying out ultrasonic treatment on the three-phase composite spinning solution to prepare the high-efficiency low-resistance waterproof piezoelectric filter material. Finally, spinning and polarization treatment are carried out through an electrostatic spinning mechanism, and the piezoelectric filter material is directly obtained. The preparation and detection equipment is composed of an electrostatic spinning mechanism, a material receiving mechanism, a conveying mechanism, a powder feeding mechanism and a detection mechanism, the electrostatic spinning mechanism and the material receiving mechanism are responsible for forming and functionalizing the piezoelectric filter material, the conveying mechanism conveys the piezoelectric filter material, the powder feeding mechanism provides dust, and the detection mechanism measures the filtering efficiency, resistance, hydrophobicity and piezoelectricity of the piezoelectric filter material on line. Through collaborative design of a material formula, integrated preparation and detection equipment, the production efficiency can be improved, the cost can be reduced, and the comprehensive performance of the piezoelectric filter material can be accurately evaluated in real time.

The invention discloses a vacuum OLTC defect identification method and system based on digital twinning and deep learning, and the method comprises the steps: collecting the operation data of different dimensions of vacuum OLTC, carrying out the feature extraction based on the operation data, and determining the feature data; constructing a digital twinborn model, and simulating or inverting state data under various working conditions based on the digital twinborn model to obtain expanded data; and carrying out multi-modal feature fusion and defect classification based on the feature data and the expansion data so as to carry out OLTC defect identification and determine a defect classification result. According to the method, a high-fidelity digital twinborn real-time mapping vacuum OLTC physical state is constructed, and a deep learning model driven by multi-source heterogeneous data is combined, so that early recognition and residual life prediction of defects are realized.

The invention relates to the technical field of digital twinning, in particular to a digital twinning-based wind turbine generator full life cycle management system, which comprises a deformation parameter resolving module, a skeleton driving reconstruction module, a load damage calculation module, a health difference evaluation module and a balance control decision module. According to the method, the instantaneous curvature and the torsion rate are calculated by collecting cross section wavelength drift data, the dynamic bending posture of the flexible part in the space is reconstructed in real time, continuous tracking of stress circulation and a closed lag loop is achieved by combining pneumatic simulation and the residual peak-valley sequence stack technology, the accumulated damage degree of the part in the whole service cycle is accurately quantified, and the reliability of the part is improved. By analyzing the discrete deviation of individual damage relative to a group mean value, an asymmetric load distribution mechanism based on health state difference is established, the fatigue extension trend of high-damage parts is effectively relieved, premature failure caused by uneven load distribution is avoided, and life balance and collaborative life extension of key parts of a unit in the whole life cycle are achieved.

The invention discloses a lithium battery defect signal extraction method based on improved WOA-VMD, and belongs to the technical field of lithium battery nondestructive testing and signal processing. According to the method, aiming at the problems of low signal-to-noise ratio after ultrasonic signal penetration and difficulty in defect feature extraction caused by an internal multi-layer structure during air coupling ultrasonic detection of a lithium battery, a cosine convergence factor and a nonlinear inertia weight strategy are introduced to improve a traditional whale optimization algorithm; key parameters of variational mode decomposition are optimized in a self-adaptive mode; variational mode decomposition is carried out on the noisy ultrasonic signal by using the optimized parameters, and dominant intrinsic mode function components are screened out according to a correlation coefficient threshold value; and carrying out wavelet threshold denoising on the screened components, and finally reconstructing to obtain a defect characteristic signal with a high signal-to-noise ratio. The method has high adaptability and robustness, is suitable for defect detection of lithium batteries of different specifications, and provides an effective technical means for safety and reliability evaluation of the lithium batteries.

The invention discloses a large-scale super-smooth island lossless transfer processing method and device based on polymethylsiloxane isolated protrusions and a super-smooth micro-electro-mechanical system, and provides a lossless and pollution-free transfer assembling method for large-scale super-smooth islands of hundred microns or above and a corresponding transfer device. The super-smooth island (prepared by adopting two-dimensional materials such as single crystal graphite / molybdenum disulfide) is prepared by a micro-nano processing technology and is transferred to a relative friction part of a target device such as a micro-generator and an MEMS (Micro-Electro-Mechanical System) switch for use, so that the super-smooth and super-long-life effects are realized; the transfer quality of the super-smooth island plays a crucial role in abrasion and service life of subsequent products. That is to say, in the scheme of the invention, a relatively large adhesive force can be provided through the polymethylsiloxane isolated bulges (PDMS bosses) and a transfer method combining a piezoelectric transfer platform, so that a large-size super-smooth island (100-1000 microns) can be vertically transferred without pollution and damage.