10377 results about "Composite structure" patented technology

The invention relates to the technical field of digital twinning control, and discloses a composite structure prefabricated segment digital twinning-adaptive assembly correction method and system, and the method comprises the steps: reading BIM geometric model data, and constructing an assembly reference coordinate system and a digital twinning geometry of a prefabricated segment; composite data are collected in real time, and end tooth groove boundary feature point cloud is extracted; matching the actually measured point cloud with the digital twinborn geometry through a dynamic point cloud registration technology, calculating a six-degree-of-freedom pose error vector, and generating a predicted total pose error vector in combination with a pre-constructed pose drift prediction model; based on the error vector, a mechanical fine adjustment jack is driven to execute position and posture adjustment until the position and posture are converged, and then tooth groove precise meshing and mechanical locking are completed; according to the method, through the synergistic effect of the dynamic mapping of the digital twinborn model and the self-adaptive correction algorithm, high-precision dynamic correction of the multi-combination structure segment assembly process is achieved on the premise that an original mechanical connection structure is not changed.

The invention relates to an ultrahigh-voltage silicon carbide start control chip protection method and system, and the method comprises the steps: obtaining the operation parameters and composite structure characteristic data of an ultrahigh-voltage silicon carbide start control chip, and carrying out the TVS-MOSFET hierarchical characteristic analysis, and obtaining the real-time state information of the chip; acquiring a grid charging curve of the ultrahigh-voltage silicon carbide starting control chip, and performing correlation analysis on the grid charging curve and the real-time state information of the chip to obtain a multi-threshold protection parameter; acquiring current change data of the ultrahigh-voltage silicon carbide starting control chip, and performing Miller platform feature analysis on the real-time state information of the chip to obtain a current abnormal trend; performing temperature control construction on a multi-threshold protection parameter and the current abnormal trend to obtain an initial control scheme; and carrying out clamping turn-off strategy construction on the initial control scheme and the potential fault area to obtain a chip start protection strategy. Optimized starting protection of the chip can be achieved through the comprehensive adjustment strategy, and therefore the service life of the chip is effectively prolonged.

The invention relates to a method for establishing and optimizing a multi-scale prediction model for constitutive parameters of a fiber reinforced composite material. Comprising the following steps: constructing a fiber-matrix microscopic RVE model, applying a boundary condition and a load, determining a failure criterion, and calculating equivalent mechanical parameters of a fiber bundle; a fiber bundle-matrix mesoscopic RVE model is generated, fiber bundle equivalent mechanical parameters serve as material attributes of fiber bundles in the mesoscopic RVE, a viscoelastic model is adopted for a matrix, and fiber reinforced material unit cell equivalent mechanical parameters are calculated; constructing a macroscopic fiber reinforced composite material finite element model, endowing a macroscopic model with unit cell equivalent mechanical parameters, defining an orthotropic material card, simulating an explosion impact process by adopting an explicit dynamics algorithm, outputting structural displacement, a damage area and stress distribution, and comparing calculation and test data. And correcting the microscopic RVE model and the mesoscopic RVE model through reverse optimization iteration to obtain a final macroscopic prediction model. The explosion-proof performance of the fiber composite structure is remarkably improved.

A paddle includes a core and at least one metallic lattice structure coupled to the core.

The invention relates to a self-cleaning nano coating material and a preparation process thereof, and belongs to the technical field of functional coatings. The coating material is prepared from nano silicon dioxide, nano aluminum oxide, graphene nanosheets, nitrogen-doped titanium dioxide, fluorinated silane, polyurethane, polydimethylsiloxane, a microcapsule repairing system, ethanol and deionized water according to a specific proportion through a multi-layer composite structure. The preparation process comprises the steps of base material surface pretreatment, reinforced particle surface modification, base material dissolution, functional additive introduction and multi-layer coating preparation. Through bottom layer enhancement, middle layer flexible buffering and surface layer functional design, excellent mechanical strength, wide-spectrum photocatalytic performance, self-repairing capacity and environmental adaptability are achieved. The problems that in the prior art, a self-cleaning coating is insufficient in mechanical performance, low in photocatalytic efficiency, lack of a self-repairing function and poor in weather resistance are solved, the service life of the coating is remarkably prolonged, and the functional stability of the coating is remarkably improved.

The invention discloses a composite structure damage form monitoring method and system based on deep learning, and the method comprises the following steps: collecting multi-source monitoring data of a composite structure in a loaded state, and carrying out the preprocessing; reconstructing a damage evolution trajectory in a high-dimensional phase space by adopting a delay coordinate embedding method, and executing dimension reduction to generate a chaotic dynamics low-dimensional trajectory; extracting singular attractor features, and generating a singular attractor feature set; carrying out sequence modeling through an improved Linformer damage identification network, and generating a prediction vector; training an improved Linformer damage identification network based on the prediction vector, and introducing nonlinear dynamic constraints to generate a damage identification network of the nonlinear dynamic constraints; and performing damage form classification and damage evolution prediction. According to the method, dynamics and deep learning are fused, composite structure damage monitoring is achieved, and the method has the advantages of being high in accuracy, high in stability and reliable in early warning.

The invention provides a method for enhancing interface bonding and corrosion resistance of a basalt fiber composite material, and belongs to the field of fiber surface modification chemical methods. The method is realized through the following steps: firstly, treating basalt fibers by utilizing an organic solvent through high-temperature reflux to prepare desized basalt fibers; then, the desized basalt fibers are immersed in a dopamine solution to be subjected to auto-polymerization, and basalt fibers with a polydopamine coating are prepared; sequentially immersing the basalt fiber coated with the polydopamine into a zinc salt solution and a 2-methylimidazole solution, so as to prepare a ZIF-8 modified basalt fiber; and finally, mixing the ZIF-8 modified basalt fiber with resin through electrostatic coating, and molding by adopting a segmented hot-pressing method to obtain the basalt fiber composite material. According to the method, a composite structure formed by the synergistic effect of a dopamine self-polymerization layer and ZIF-8 is introduced into the surface of the basalt fiber, so that the interface bonding force between the fiber and resin and the corrosion resistance of the composite material are greatly enhanced.

Systems and methods for forming an oxidation protection system on a composite structure are provided. In various embodiments, the oxidation protection system comprises a boron-glass layer formed on the composite substrate and a silicon-glass layer formed over the boron-glass layer. Each of the boron-glass layer and the silicon-glass layer include a glass former and a glass modifier. The boron-glass layer includes a boron compound comprising a mixture of boron carbide (B4C) powder and cubic boron nitride (BN) powder.

The invention discloses a dynamic compensation intelligent formwork real-time regulation and control method and system, and relates to the technical field of building intelligent control. According to the method, pulse signal sensing and cooperative compensation between nodes are realized by constructing a distributed neural unit network, and a three-level compensation mechanism is triggered when displacement or stress is detected to exceed a threshold value. A generative adversarial network is innovatively adopted to construct a virtual scene library to simulate extreme working conditions, a cross-scene migratable strategy library is generated through feature alignment, and intelligent strategy matching of a new construction site environment is realized. A full-structure rigidity field is dynamically generated based on an elastic mechanical model, a supporting arm rigidity switching path is optimized in combination with an ant colony algorithm, and directional dissipation of wind vibration energy is achieved through triangular rigid network construction. The system adopts a biological heuristic self-organizing algorithm to realize redundant network reconstruction when nodes fail, a supporting arm adopts a shape memory alloy and carbon fiber composite structure, and a micro strain sensor is integrated to realize directional release of corrosion stress. According to the method, the adaptive capacity of the formwork system under the complex working condition is effectively improved, and the structural failure rate is reduced through multi-modal compensation strategy fusion.

The invention discloses a preparation method and application of a lithium-rich manganese-based positive electrode material of a lithium defect type layered spinel composite phase synthesized by a rapid thermal shock method, and the preparation method comprises the following steps: firstly, preparing a lithium-rich manganese-based precursor by using a coprecipitation method; and mixing the precursor and a lithium salt, and rapidly heating the sample by using Joule heat passing through the powder sample as a heat source to obtain the layered spinel composite phase positive electrode material with lithium defects, and the lithium-rich manganese-based positive electrode material with higher lithium deficiency, a layered spinel composite structure and more excellent performance is generated through ultrafast heating and cooling rate and short-time heat preservation. According to the preparation method disclosed by the invention, the lithium-rich manganese-based positive electrode material with the composite structure, which is relatively large in lithium deficiency, is prepared through a rapid thermal shock technology and has the advantages of high capacity, high first efficiency and long cycle stability; the preparation method is simple, the material cost is greatly reduced, large-scale production can be realized, the production efficiency is improved, and the energy consumption is reduced.

The invention discloses a polylactic acid injection molding mold based on a gradient heat conduction composite structure and a heat management method thereof, and belongs to the technical field of high polymer material molding processing equipment.The polylactic acid injection molding mold comprises a) a surface high heat conduction layer which is made of a copper-based composite material, has the heat conduction coefficient larger than or equal to 400 W / m.K and is used for rapidly and directionally transferring heat to the surface of a mold cavity; and b) an intermediate transition layer composed of a titanium alloy porous structure. High-efficiency production is realized through innovative design and advanced technology. Integrated metallurgical bonding of the gradient heat conduction structure is achieved through the selective laser melting technology, and the heat flow directivity is enhanced; the dual-mode cooling system is combined with closed-loop temperature control, and the temperature is accurately regulated and controlled; the high-performance material improves the comprehensive performance of the mold; and the structural stability is guaranteed through accurate technological parameters. According to the thermal management method, through multi-physical field simulation optimization, rapid heating and cooling are achieved, the forming period is shortened to 16-18 seconds, the calculation efficiency is improved by 80%, and the production efficiency and the product quality are effectively improved.

The invention discloses a disilane mixed gas dissolving and mixing system and a control method, and relates to the technical field of gas mixing preparation, the disilane mixed gas dissolving and mixing system comprises seven modules, a storage module realizes accurate pressure control through a honeycomb gas storage tank matrix, and the tank wall adopts a nano composite structure for corrosion prevention; the premixing module forms a chaotic flow field by using a double-helix micro-channel and pulse injection; the reaction module is combined with supercritical and electromagnetic resonance to accelerate the reaction; the monitoring module fuses multispectral detection; the control system is based on deep reinforcement learning, in addition, a gradient condensation-membrane distillation separation module, a bionic safety interlocking module and other modules are further arranged, and all the modules cooperate to achieve efficient mixing and production. According to the device and the method, high-precision preparation of disilane mixed gas, precise pressure-controlled material storage, molecular-level efficient mixed reaction, multispectral precise monitoring, intelligent regulation and control, stability guarantee, high safety interlocking and intelligent maintenance are realized, faults can be reduced, the product quality and the production efficiency are improved, and the cost is reduced.

The invention relates to the technical field of metal structure detection, in particular to an intelligent special-shaped aluminum plate structure parameter detection method and system based on spectral analysis, and solves the problems of multi-parameter splitting, poor complex structure adaptability and inaccurate risk assessment in traditional detection. According to the method, data are synchronously collected through multi-spectral imaging and line laser scanning, surface component parameters such as the thickness gradient of an oxide film are inverted, the local curvature is calculated based on three-dimensional point cloud, a spiral encryption or grid sparse scanning track is dynamically switched, differential detection of a complex structure and a plane area is achieved, and the detection precision is improved. And then a space correlation model of the oxidation film thickness and the hole deformation quantity is constructed, a structure failure risk area is accurately recognized by combining a three-level risk judgment rule and cross-regional influence analysis, and the system effectively improves the accuracy and detection efficiency of defect recognition of the special-shaped aluminum plate through cooperation of dynamic scanning control, component deformation correlation and a composite structure decision unit.

The present invention is related to a method intended for manufacturing a composite structure, preferably for an aircraft. The method comprises training a set of artificial neural networks (3.1, 3.2, 3.3) to obtain a composite structure which fulfills certain specification requirements (material properties, shear loads, compression loads, buckling constraints). Said neural networks are trained with data obtained from analytical equations and from a finite element model. The invention is also related to a computer program product and a computer-readable storage medium which perform some steps of such a method. Finally, the invention further provides an aircraft (12) which comprises composite structures (13, 14, 15) manufactured by means of said method.

The invention relates to a catalyst for ethylene oxide ring-opening polymerization and a preparation method thereof, and belongs to the technical field of high polymer material synthesis, and the catalyst is a composite structure based on a silicon dioxide nanoparticle loaded bimetal organic complex; a modified nitrogen-containing polydentate ligand is prepared by adopting a special method, is coordinated with metal ions through covalent bonds and is loaded on silicon dioxide nanoparticles; by utilizing the high dispersity and stability of the silicon dioxide nanoparticles and the synergistic catalytic effect of the bimetal organic complex, the catalytic effect is effectively improved, the polymerization process is accelerated, the polymerization stability is enhanced, the polymerization molecular weight is improved, and the distribution is narrow.

The invention relates to the technical field of alloy coatings, and discloses a laser cladding high-entropy alloy coating and a preparation method thereof.The laser cladding high-entropy alloy coating is prepared from, by mass, 25%-45% of Fe, 15%-25% of Cr, 10%-20% of Ni, 5%-15% of Mn, 3%-10% of Al, 0%-5% of Ti, 1%-5% of a nanometer reinforcing phase and 0.1%-0.5% of a flow promoter. Lorentz force generated by an alternating electromagnetic field drives melt convection, so that the diffusion coefficient of segregation-prone elements such as Cr and Ni is increased, the ultrasonic cavitation effect is matched to crush dendritic crystals and promote dispersion of nanoparticles, the segregation index of the elements is reduced, a uniform nanocrystalline-amorphous composite structure is formed through the synergistic effect, and uniform distribution of elements in a molten pool is achieved.

A decoupled floor underlayment with multiple-layer composite structures includes a wiring layer, and a adhesive layer. The wiring layer includes a body of the wiring layer, and a plurality of protrusion portions disposed on the body of the wiring layer. The protrusion portions include a first protrusion portion and a second protrusion portion with different types of structures. The first protrusion portion and the second protrusion portion are arranged in a staggered manner in an equidistant manner on the body of the wiring layer row by row, column by column. After mortars embedded in the cavity is solidified, blocks formed by the mortars solidification have different expansion coefficients when encountering with heat and cold, and can better cope with an unbalanced stress environment, and more effectively alleviate the damage to a tile floor caused by evacuations of the blocks.

The invention relates to the technical field of structural design, and discloses a topology and size joint optimization design method and system for a hierarchical composite structure, and the method comprises the following steps: dividing a structural domain into a plurality of hierarchical sub-domains, defining the size constraint range of each sub-domain, and distributing a multi-phase material for each sub-domain; grid discretization processing is carried out on the structural domain, a topological design variable is given to each discrete unit, acoustic unit modeling is carried out on the sound field domain, sound pressure boundary conditions are defined, and coupling boundary conditions are applied to the interface of the sound field domain and the structural domain; solving an acoustic-structure coupling equation based on a finite element method, calculating an objective function and constraint conditions, analyzing the sensitivity of the objective function to topological variables by adopting an adjoint method, and iteratively updating the topological design variables through an optimization algorithm until a convergence criterion is met; and on the basis of a topological optimization result, constructing a neural network agent model of an input layer, a hidden layer and an output layer, and carrying out global optimization on sub-domain size parameters by adopting a genetic algorithm so as to minimize a target function.

The invention relates to the technical field of composite material detection, in particular to a fiber-reinforced thermosetting thermoplastic composite structure interface quality detection method and system.The method comprises the steps that vibration excitation is applied to a target area of the surface of a to-be-detected sample, and the amplitude of the excitation is lower than the damage critical value of a weak bonding interface; a dynamic response signal perpendicular to the interface is collected in a vibration field non-diffusion area of the excitation point of the target area; performing frequency domain transformation on the dynamic response signal, and separating a fundamental frequency component and at least one high-order harmonic frequency component; according to the nonlinear enhancement effect of the high-order harmonic frequency component relative to the fundamental wave frequency component, whether the weak bonding defect exists in the target area or not is judged. According to the method, the technical bottleneck that the dynamic evolution process of the weak bonding defect of the composite material interface is difficult to capture in real time is effectively solved, sensitive response to the microdefect is realized through a nonlinear harmonic characteristic enhancement effect, and the recognition precision of traditional ultrasonic detection is improved.

The invention belongs to the technical field of flexible sensing, and discloses a flexible piezoresistive sensing array based on a triangular truss grid structure weft knitting spacer fabric, which is of a five-layer composite structure integrally woven and formed through a weft knitting process. The first packaging layer, the first electrode layer, the spacer fabric spacer layer, the second electrode layer and the second packaging layer are sequentially arranged from top to bottom; the first packaging layer and the second packaging layer are formed by weaving insulating yarns and are respectively an upper surface layer and a lower surface layer of the spacer fabric; the spacer fabric spacer layer is of a three-dimensional elastic supporting structure and comprises a plurality of first spacer layer transverse rows and a plurality of second spacer layer transverse rows which are formed by alternately weaving the upper face layer and the lower face layer of the spacer fabric through tucking. The first spacing layer transverse rows and the second spacing layer transverse rows are arranged in the spacing fabric in a staggered mode and are sequentially connected end to end to form a transverse row crossing cross-linked type triangular truss grid structure. The flexible piezoresistive sensing array provided by the invention has high structural integrity and long-term stability.

Disclosed is a method for preparing a heterogeneous metal composite structure for medical implantation, including the steps of: step 1, preparing titanium alloy powder into a porous skeleton according to different printing strategies; step 2, filling magnesium after being melted into pores of the porous skeleton; and step 3, cooling a titanium-magnesium interpenetrating phase composite structure prepared in step 2 to room temperature, and covering a surface of the titanium-magnesium interpenetrating phase composite structure with a hydroxyapatite coating. In the present disclosure, a porous lattice dot-array structure of titanium alloy is used as a skeleton, and the skeleton pore is filled by pressureless infiltration of magnesium or hot isostatic pressure.

The invention relates to the technical field of power equipment inspection, in particular to a high-voltage electrical equipment inspection method and system based on microphone array measurement. The method comprises the following steps: acquiring array sound signal data, analyzing the array sound signal data, and determining sound signal feature information; obtaining a layered structure parameter set and an insulating medium parameter set of the target electrical equipment, performing targeted compensation and correction on the sound signal feature information according to the layered structure parameter set and the insulating medium parameter set, and determining abnormal voiceprint feature information; and generating abnormal component information according to the abnormal voiceprint feature information, and determining and outputting an abnormal detection report. According to the invention, non-contact real-time detection of the high-voltage electrical equipment in operation is realized, the adaptability of the detection process to the high-voltage electrical equipment which is internally provided with a multi-layer composite structure and is filled with an insulating medium is enhanced, and the positioning accuracy of a fault position in the equipment is improved.

The invention relates to the technical field of water treatment, and discloses a modified polyaluminum chloride flocculant and a preparation method thereof.The modified polyaluminum chloride flocculant is prepared from, by weight, 50-65 parts of polyaluminum chloride, 8-12 parts of magnesium silicate, 5-8 parts of carboxymethyl chitosan, 15-25 parts of polyaluminum ferric chloride and 3-5 parts of tea polyphenol; the molar ratio of aluminum ions to iron ions in the modified polyaluminum chloride flocculant is (3-4.5): 1. According to the invention, an inorganic-organic dual-modifier synergistic effect mechanism is adopted to construct a'rigid framework-flexible network 'composite structure, and the structure can significantly improve the adsorption capacity of Pb < 2 + >. Meanwhile, the mechanical property of the flocculating agent is improved, so that the flocculating agent can be applied to a high-turbulence environment.

The invention discloses reflection-heat insulation dual-functional aluminum oxide ceramic and a preparation method and application thereof.The method comprises the steps that after surface silanization treatment is conducted on nanoscale hollow oxide filler, surface-modified nanoscale hollow oxide filler is prepared; and then adding the surface-modified nanoscale hollow oxide filler into a high-molecular polymer and a mixed polar solvent to obtain the thermal insulation coating. The method comprises the following steps: coating the surface of aluminum oxide ceramic with a heat insulation coating to form a primary coating, and carrying out gradient heating curing to obtain aluminum oxide ceramic with a functionalized heat insulation coating; and coating the surface of the thermal insulation coating functionalized aluminum oxide ceramic with an infrared reflection coating, and carrying out annealing treatment in a nitrogen atmosphere to prepare the reflection-thermal insulation dual-functionalized aluminum oxide ceramic. By constructing a double-layer composite structure, enhancing interface thermal resistance through chemical bonding, directionally distributing the nanofiller and designing a low-radiation layer structure, heat conduction and radiation heat transfer of the aluminum oxide ceramic-based material are synergistically reduced, and the high-temperature heat insulation performance of the aluminum oxide ceramic-based material is improved.

The present invention belongs to the technical field of liners, and specifically discloses a high-wear-resistant mixed pelletizing machine liner and a preparation method thereof. The liner includes a base layer and a wear-resistant layer composited on the surface of the base layer. The base layer is made of high-strength alloy steel material, and its chemical composition is calculated by mass percentage as follows: C: 0.25-0.35%, Si: 0.4-0.8%, Mn: 1.2-1.6%, Cr: 0.8-1.2%, Mo: 0.2-0.4%, Ni: 0.3-0.6%, Nb: 1.0-1.6%, and the balance is Fe; the wear-resistant layer includes tungsten carbide particles, a composite alloy material, and an adhesive. The present invention adopts the above-mentioned high-wear-resistant mixed pelletizing machine liner and a preparation method thereof, aiming to solve the problems of insufficient wear resistance and short service life of existing mixed pelletizing machine liners, and improve the comprehensive performance of the mixed pelletizing machine liner through composite structure design and special preparation process.

The invention discloses a mass concrete composite anti-crack structure and a crack control construction method based on the mass concrete composite anti-crack structure. The composite anti-crack structure comprises a core common concrete layer, an outer side anti-crack concrete layer, a reinforcing mesh arranged between the core common concrete layer and the outer side anti-crack concrete layer, and a top anti-crack concrete layer. The method comprises the steps that firstly, the thickness of side face anti-crack concrete and the thickness of top face anti-crack concrete needing to be poured are calculated according to cracking risk assessment, the side face anti-crack concrete is poured firstly, then core common concrete is poured, and it is ensured that the pouring height of the side face concrete is always 20-30 cm higher than the core common concrete; and then the top surface is completely constructed by adopting anti-crack concrete. The reinforcing mesh subjected to special treatment is adopted, so that the overall stress of the composite structure is uniform, the overall anti-cracking performance and durability of the composite structure are improved through the outer side anti-cracking concrete, the construction technology is simple, meanwhile, a large amount of construction cost and operation and maintenance cost can be saved, and the composite structure is suitable for application and popularization.

The invention belongs to the technical field of underground gas storage, and particularly relates to a long-term efficient hydrogen storage composite lining structure for an underground rock cavern and a preparation method of the long-term efficient hydrogen storage composite lining structure. The long-term efficient hydrogen storage composite lining structure for the underground rock cavern comprises surrounding rock and an internal composite structure of the surrounding rock. The surrounding rock reinforcing layer is formed by pressure pre-grouting in surrounding rock and can resist tensile stress transmitted to the surrounding rock by internal air pressure and enhance air tightness; the permeable layer is arranged on the inner side of the surrounding rock reinforcing layer and can discharge underground water to prevent hydrostatic pressure from causing extrusion deformation damage to the concrete bearing layer during construction and causing instability of the sealing steel lining; the reinforced concrete bearing layer is arranged on the inner side of the permeable layer and the outer side of the slip layer, and micro self-healing capsules capable of repairing cracks and enhancing sealing performance are evenly added in the injection molding process; the anti-drag sliding layer is arranged between the steel lining and the bearing layer and inhibits shear damage of the sealing steel lining to the bearing layer under high internal pressure; the steel lining sealing layer is arranged on the inner side of the sliding layer to bear part of gas load and seal gas.

The invention belongs to the technical field of antenna engineering, and particularly relates to an ultra-wide-band low-profile phased-array antenna, which realizes broadband impedance matching characteristics and effectively expands the working bandwidth of the antenna by optimizing a dipole arm structure and introducing a matching branch knot and linear tapered slot composite structure on a radiation unit layer; on the array architecture level, an electromagnetic metasurface technology is adopted, array current distribution is improved through a periodic artificial electromagnetic structure, the active standing-wave ratio is remarkably reduced, the scanning angle of an array is widened, and meanwhile high compression of a system profile is achieved; on the structural design level, a three-dimensional composite structure of a transverse metal floor, a longitudinal radiation layer and a transverse metasurface layer is innovatively constructed, and the overall section height is reduced to 0.137 lambda Low (lambda Low is the lowest working frequency wavelength) through electromagnetic coupling and space folding technologies; in conclusion, the ultra wide band (the relative bandwidth is greater than or equal to 90%) and the low profile (lt; and the method is suitable for a new generation of broadband phased array radar system.

The invention provides a carbon-coated lithium-containing phosphate positive electrode material and a preparation method thereof, a positive electrode plate and a lithium ion battery, and relates to the technical field of lithium ion batteries. Particles of the carbon-coated lithium-containing phosphate positive electrode material provided by the invention have a composite structure, the composite structure comprises a lithium-containing phosphate inner core and a carbon coating layer at least partially coating the lithium-containing phosphate inner core, a carbon source of the carbon coating layer is pre-sintered carbon, and Ig / Id of the carbon coating layer is greater than or equal to 1. The carbon-coated lithium-containing phosphate positive electrode material has the advantages of good conductivity, few surface functional groups, small specific surface area and the like, is beneficial to exerting the capacity of a lithium ion battery, and can improve the electrochemical performance and the cycle performance of the lithium ion battery.