29results about How to "Achieve life" patented technology

The invention provides an engine internal damage identification method and system based on target detection, and the method comprises the steps: obtaining the distribution of thermal stress and mechanical stress under different working conditions through finite element analysis for typical working conditions of high temperature, high pressure and heat engine coupling load according to the structural characteristics and fault modes of an engine cylinder; processing an ultrasonic guided wave signal through a synthetic aperture focusing algorithm, reconstructing a three-dimensional shape of a crack by combining a three-dimensional geometric model of the cylinder body and guided wave propagation characteristics, and determining a crack propagation rate so as to analyze crack propagation of the cylinder body; the residual service life of the cylinder body under the given working condition is predicted according to the crack size, the crack growth rate and the high-risk working condition parameters in combination with the material mechanical property parameters of the fracture toughness; and according to the crack instability critical length, the cylinder body crack propagation analysis result and the high-risk working condition judgment result, the engine operation working condition is optimized, the occurrence frequency of the high-risk working condition is reduced, the service life of the cylinder body is prolonged, and the crack detection and recognition precision is improved.

The invention provides a defect detection method for a metal code disc without coating, and relates to the technical field of information, and the method comprises the following steps: fusing an external geometric model of the metal code disc obtained by three-dimensional scanning with internal defect information of the metal code disc obtained by X-ray flaw detection, and constructing a three-dimensional model of the metal code disc containing internal defects; if a stress concentration phenomenon exists around the defect, carrying out stability analysis on the defect in the metal coded disc by utilizing a fracture mechanics theory, calculating a stress intensity factor at the tip of the defect, evaluating the risk of crack propagation of the defect under the action of external force, and determining the critical dimension and the safety margin of the defect; and obtaining a metal code disc defect distribution rule according to the internal defect information of the metal code disc, and carrying out optimization design on the structural layout and key dimension parameters of the metal code disc in combination with the metal code disc defect distribution rule and a safety evaluation criterion. The failure risk caused by internal defects of the code disc is reduced, and the use reliability and safety of the code disc are improved.

The invention belongs to the technical field of hydrogen production system operation optimization, and provides a multi-reactor electrolytic hydrogen production system operation optimization method and system.The method comprises the steps that the input power of a multi-reactor electrolytic hydrogen production system is divided in a segmented mode from small to large according to the power size, the power is divided into a starting power section, an optimal power section, a rated power section and an overload power section; in each section, based on the SOH (state of health) of the battery, reordering the electrolytic stacks according to the real-time SOH within a set time interval; and according to the sequence of the starting power, the optimal power, the rated power and the overload power, the running power of the electrolytic stacks is calculated in the section in sequence according to the input power of the multi-electrolytic-stack electrolytic hydrogen production system, and power distribution is conducted on the electrolytic stacks according to the running power of the electrolytic stacks. According to the invention, the energy utilization rate is increased, the operation cost is reduced, and the method has important influence on the economy of an electrolytic hydrogen production system.

The invention belongs to the technical field of epoxy resin and impregnated paper sample wafer aging defect diagnosis, and discloses an epoxy resin and impregnated paper sample wafer aging defect diagnosis and service life prediction system. Comprising a thermal aging treatment module, a dielectric property test module, a main control module, a mass loss calculation module, an aging degree analysis module, a physicochemical property detection module and a life prediction module. According to the invention, a thermal aging test platform for the epoxy resin sample wafer and the epoxy impregnated paper sample wafer is established, the research on the aging degree rule of the sample wafer is completed from multiple angles of dielectric properties, Fourier infrared spectroscopy, mass loss rate and scanning electron microscope, and the research on the aging degree rule of the epoxy resin sample wafer and the epoxy impregnated paper sample wafer along with the deepening of the aging degree is elaborated. The changes of the surface appearance and the micromolecular structure of the dry-type bushing are explained in combination with the dielectric property, and a theoretical basis is provided for subsequent dry-type bushing aging degree judgment.

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.

The invention discloses a transformer area voltage coordinated optimization method and system considering carbon saving. According to the method, the output of the capacitor bank, the SVG and the photovoltaic inverter is dynamically adjusted according to the power-voltage coefficient relation table, and the problems of voltage overshoot and undershoot caused by photovoltaic power generation fluctuation are effectively solved. And the equipment response is rapid, the voltage of each node in the transformer area is ensured to be within an allowable range, the occurrence of overvoltage and undervoltage is avoided, and the operation reliability of a power grid is improved. In combination with a transformer load rate and life loss coefficient model, the system can optimize scheduling in real time according to the load state of the transformer, and premature aging caused by long-term high-load operation of the transformer is avoided. Through reasonable load distribution, the additional influence of carbon emission on the service life of the transformer is reduced, and long service life and high efficiency of transformer operation are realized. The optimized scheduling strategy enables the capacitor bank, the SVG and the photovoltaic inverter to work cooperatively, thereby reducing the overall energy loss of the system, and indirectly reducing the carbon emission.

The invention provides a transfer case front output flange and a machining method, and belongs to the technical field of part machining. Comprising the steps that first heat treatment is conducted on a blank, and second heat treatment is conducted on a machined to-be-machined output flange; turning the to-be-machined output flange in a rough machining and finish machining manner; adjusting the original coordinate system by adopting a preset compensation calculation method; sequentially milling the flange, the plurality of spherical grooves and the threaded connecting holes by adopting a preset indexing method; a spline is machined according to preset gear parameters; performing third heat treatment; then, a fourth end face and a third journal are machined; when the preset condition is met, the first inner hole is machined according to a second preset machining parameter; and the output flanges to be machined are sequentially subjected to hard turning to form parts. The technical problem that in the prior art, a mature machining process for the front output flange is lacked is solved, the part precision is guaranteed, meanwhile, the machining time is shortened, and the production efficiency is improved.

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 invention relates to the technical field of high-voltage cable maintenance, in particular to a high-voltage cable accessory lead seal monitoring device which comprises subsystem ends, relay system ends and a master control system end, multiple sets of subsystem ends are in communication connection with the same relay system end, and multiple relay system ends are in communication connection with the same master control system end. The subsystem end comprises a monitoring assembly and a structure assembly, the monitoring assembly comprises an eddy current flaw detector, the eddy current flaw detector carries out nondestructive flaw detection on a cable lead sealing structure through electromagnetic induction eddy current, and the eddy current flaw detector is fixedly installed through a clamp; the subsystem end, the relay system end and the master control system end are used for three-level data collection and transmission, collection of multiple sets of data to the master control system end is facilitated, the data transmission pressure of the master control system end is reduced, the monitoring assembly is used for monitoring various data of the lead sealing state, and the structural assembly is used for fixing the monitoring assembly to the lead sealing position.

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 utility model relates to the technical field of lamp tubes, in particular to a 360-degree light-emitting LED glass lamp tube which comprises a glass tube and a light-emitting assembly. The light-emitting assembly comprises a soft thin film circuit substrate, a plurality of LED patch lamp beads, an aluminum cylinder, two lamp caps and two split power sources. Diffusion powder can be sprayed on the glass tube, uniform light emitting of the lamp tube is achieved, heat generated by the LED patch lamp beads can be transmitted to the aluminum cylinder through the heat conduction adhesive glue, then the heat is transmitted out through the lamp holder, heat dissipation of the LED patch lamp beads is achieved, and the glass tube is of a full-light-transmitting type and can achieve 360-degree light emitting. According to the LED lamp tube, true 360-degree light emitting can be achieved like a fluorescent lamp, long service life and environmental protection can also be achieved like an existing LED aluminum lamp tube, the advantages of safety, power saving and high light emitting efficiency of the LED light source are utilized as the light source, and the service life of the lamp is longer.

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 present invention discloses a multifunctional bed for the elderly with adaptive pressure relief. The mattress is a loofah fiber latex composite mattress, and is specifically placed on an automatically adjustable bed frame. A pressure sensor for sensing the stress conditions at various positions is arranged inside the mattress, and a pressure regulating device is arranged on the bed frame below the mattress; wherein the pressure sensor and the pressure regulating device are respectively connected to a host processor through an information collector, and the host processor is wirelessly connected to a mobile phone; when the host processor detects abnormal pressure at a certain position of the mattress through the pressure sensor, the host processor drives the pressure regulating device to regulate the pressure at the corresponding position. In the present invention, by designing both the mattress and the bed frame of the elderly nursing bed, the elderly's nursing needs such as physiological activity assistance, adaptive pressure relief, and pressure monitoring are met in many aspects, helping assisted elderly people to achieve normal life and healthy sleep.

The present application provides a defect detection method for a metal code disk that does not require coating, which relates to the field of information technology, including: fusing the external geometric model of the metal code disk obtained by three-dimensional scanning with the internal defect information of the metal code disk obtained by X-ray flaw detection to construct a three-dimensional model of the metal code disk containing internal defects; if there is stress concentration around the defect, the internal defects of the metal code disk are analyzed for stability using fracture mechanics theory, the stress intensity factor at the tip of the defect is calculated, the risk of crack propagation under the action of external force is evaluated, and the critical size and safety margin of the defect are determined; the defect distribution law of the metal code disk is obtained according to the internal defect information of the metal code disk, and the structural layout and key dimensional parameters of the metal code disk are optimized in combination with the defect distribution law of the metal code disk and the safety assessment criteria. Reduce the failure risk of the code disk due to internal defects and improve the reliability and safety of the use of the code disk.

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 utility model relates to electric cylinder technical field discloses electric cylinder with self -lubricating and heat dissipation function, including electric cylinder main part, the screw rod is arranged in electric cylinder main part, electric cylinder main part is connected with drive motor transmission through transmission, is provided with double circulation heat dissipation mechanism between electric cylinder main part and drive motor, the inside of electric cylinder main part is provided with the self -lubricating mechanism for providing accurate lubrication for screw rod, the heat dissipation mechanism includes annular cover, the inner wall of electric cylinder main part is fixedly connected in the outside of annular cover, the inside of annular cover is provided with spiral pipe no.

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.

The invention discloses an in-service pressure-bearing part damage monitoring platform based on a micro-nano press-in technology, and belongs to the technical field of special equipment damage detection devices. The device can be used for on-line monitoring of damage of a pressure-bearing part, and through the arrangement of the positioning module, the roller module and the like, the device can accurately position and make contact with the surface of a to-be-detected material, accurate measurement of the mechanical property of the material is achieved, sampling is not needed, and destructive detection on equipment is avoided; the whole machine is small in size, light in weight, modular in design, convenient to carry, flexible in deployment and suitable for various engineering sites, in addition, the device is provided with an online test control module, key process parameters such as loads can be collected in real time, and calculation and prediction of the damage degree and the residual life of materials are achieved through data transmission and analysis; the device supports Bluetooth wireless connection, remote monitoring and control functions can be realized, the working efficiency and maintenance convenience are greatly improved, and the device is of great significance to structural integrity evaluation of key parts in chemical equipment.

The invention belongs to the technical field of solar photovoltaic photo-thermal comprehensive utilization, and discloses a concentrating photovoltaic photo-thermal assembly quality detection device and method.The device comprises a concentrating photovoltaic photo-thermal assembly, a tracking rotating shaft, a connecting rod, a solar simulation device, a reciprocating telescopic machine, a hot water supply module and a cold water supply module; the reciprocating telescopic machine comprises a reciprocating telescopic machine driving module and a push rod which are connected; the concentrating photovoltaic photo-thermal assembly is connected with the tracking rotating shaft which is connected with the connecting rod, and the connecting rod is connected with the push rod. The device realizes the sampling inspection of the quality of the concentrating photovoltaic photo-thermal assembly under the industrial mass production condition of the concentrating photovoltaic photo-thermal assembly, and realizes the detection of the mechanical life and quality, the water pipeline life and quality and the power output performance of the concentrating photovoltaic photo-thermal assembly running for 25 years in the whole life cycle within 32 hours. The product quality of the concentrating photovoltaic photo-thermal assembly can be strictly controlled on an indoor industrial production line, and the production cost of concentrating photovoltaic photo-thermal parts, equipment and assemblies can be greatly reduced.