119results about How to "Reduce variance" patented technology

The invention discloses a hanging basket transportation safety management method and system, and relates to the field of damage detection. Collecting weight data of the hanging basket; establishing a steel wire rope health state prediction model by using a multi-layer perceptron (MLP) algorithm, predicting the damage degree of the steel wire rope, and obtaining a health state prediction result of the steel wire rope; according to the health state prediction result of the steel wire rope, a bidirectional long-short-term memory neural network BiLSTM is used for prediction, and a damage trend prediction result of the steel wire rope in a future period of time is obtained; comparing the collected weight data of the hanging basket with a preset safety weight range to obtain a judgment result of whether the weight of the hanging basket exceeds the limit or not; according to the health state prediction result of the steel wire rope, the damage trend prediction result and the judgment result of whether the weight of the hanging basket exceeds the limit or not, a decision tree algorithm is adopted to generate a hanging basket operation control scheme; aiming at low safety of a hanging basket in the prior art, the safety of the hanging basket is improved.

The invention relates to a wind power cabin equipment quality evaluation and maintenance decision-making method based on reinforcement learning, and belongs to the field of wind turbine generator operation and maintenance. According to the method, the state degradation model of the wind power cabin is established by using the Markov decision process, and the state transition probability is estimated in combination with the dynamic integrated probabilistic neural network, so that the prediction accuracy is improved. Weibull distribution parameter estimation is carried out on the fault data of the subcomponents of the wind turbine cabin through the grey model, life reliability analysis of the components is completed, then a reliability function of the wind turbine cabin is obtained, and equipment quality evaluation is achieved. According to the method, a maintenance method combining post maintenance and opportunity maintenance is adopted, an objective function of a maintenance decision model is established according to a component reliability function and a maintenance cost model, and an optimal maintenance strategy is solved by using an AD3QN algorithm, so that the minimum maintenance cost is realized, and the operation efficiency and economic benefits of the wind power plant are improved.

The invention relates to the technical field of transistor detection, in particular to a quick test method and system for an MOSFET device. The method comprises the following steps: acquiring and integrating multi-source parallel data of the MOSFET device to obtain real-time I-V characteristic data of the device; performing MOSFET device performance prediction based on the real-time device I-V characteristic data to obtain MOSFET device performance prediction data; screening according to the performance prediction data of the MOSFET device to obtain performance data of a primarily screened qualified device; performing adjustment based on the performance data of the preliminarily screened qualified device to obtain an MOSFET device test scheme; acquiring real-time test data of the MOSFET device, and screening qualified devices to obtain performance data of re-screened qualified devices; and performing device test summarization based on the performance data of the primarily screened qualified device and the performance data of the secondarily screened qualified device to obtain an MOSFET device test report. According to the invention, the test period can be shortened.

The invention discloses a water absorption rate detection method and system for a macromolecular water absorption material, and relates to the technical field of macromolecular water absorption materials.The water absorption rate detection method for the macromolecular water absorption material comprises the following steps that the initial weight of a to-be-tested macromolecular water absorption material sample is weighed; dropwise adding test liquid to the surface of the polymer water-absorbing material sample by using a burette; obtaining test feature data; factors influencing the water absorption performance of the polymer water absorption material are obtained; predicting key factors influencing the water absorption rate of the polymer water absorption material; and judging whether the water absorbing material meets a preset performance standard or not. Conditions of each experiment can be ensured to be consistent, so that repeatability and reliability of results are improved, the water absorption process can be accurately controlled by dropwise adding test liquid through a burette, the water absorption behavior of the material can be better understood, key factors are adjusted through an optimization algorithm, then the performance of the material can be improved, and the test accuracy is improved. And the preset performance standard is met.

The invention discloses a method for aided analysis of influence of 5 'UTR on mRNA translation efficiency based on a machine learning model, and relates to the technical field of synthetic biology and computational biology, the method comprises the following steps: S1, constructing a 5' UTR plasmid library; s2, transcribing the 5 'UTR plasmid into an independent mRNA (messenger ribonucleic acid) with a luciferase-opt luciferase, and taking the luminous intensity of the luciferase-opt luciferase as the translation intensity of the mRNA; s3, analyzing characteristics related to protein expression intensity of the mRNA; and S4, constructing a random forest algorithm model on the basis of the features analyzed in the step S3 to predict the influence of the 5 'UTR on the mRNA translation efficiency. According to the method for auxiliary analysis of the influence of the 5 'UTR on the mRNA translation efficiency based on the machine learning model, a feasible technical route reference is provided for sequence optimization of mRNA in subsequent mRNA vaccine development, so that the mRNA vaccine can efficiently express target protein in a body.

The invention discloses a drainage basin rainfall runoff prediction method and device fusing a mechanism model and a machine learning model, and a program product. The method comprises the following steps: firstly, constructing a seasonal Markov chain model by taking a seasonal rainfall state transition probability as a conditional transition probability; simulating the rainfall state of each day in a preset simulation period by adopting a seasonal Markov chain model, simulating the rainfall capacity of each day according to the distribution obeyed by the rainfall capacity of each seasonal characteristic time period, and generating a rainfall sequence in the preset simulation period; predicting the runoff yield of each day under a specified rainfall sequence in a preset simulation period by adopting a drainage basin mechanism model, and counting the earlier-stage accumulated rainfall capacity and seasonal characteristics as the input characteristics of runoff yield prediction; and finally, taking the input features of all runoff prediction in a preset simulation period and the corresponding runoff simulation values as a data set, training a machine learning model, and predicting the runoff in the future by adopting the trained machine learning model. The method is high in prediction efficiency and high in prediction precision.

The invention discloses a construction method and application of a histopathologic quantitative evaluation model of choroidal neovascularization, and the evaluation model constructed by the method can accurately identify a choroidal neovascularization structure around a laser spot, and can carry out rapid batch analysis on a large number of laid sheets. The reliability and the consistency of analysis results are improved, and differences caused by laser surgery, interference of manual operation factors and the labor cost of analysis are reduced.

The embodiment of the invention provides a dish-washing machine, a door control method, a program product, a storage medium and electronic device.The dish-washing machine comprises a main control board and a door assembly; the door assembly comprises a knocking signal sensor assembly, and the sensitivity of the knocking signal sensor assembly dynamically changes along with the opening and closing state of the door assembly. The main control board is used for detecting the current state of the door assembly and transmitting a coding value corresponding to the current state to the knocking signal sensor assembly; the knocking signal sensor assembly is used for adjusting the sensitivity of the knocking signal sensor assembly based on the coding value, so that the sensitivity of the knocking signal sensor assembly is matched with the current state of the door assembly; detecting a knocking signal in a preset operation area of the dish washing machine, and transmitting the detected knocking signal to the main control board; the main control board is further used for switching the current state of the door assembly according to the knocking signal. The technical problem that the door opening and closing operation force of the dishwasher is difficult to grasp is solved.

The invention provides an ultrasonic sensor temperature confirmation method. The ultrasonic sensor temperature confirmation method comprises the steps that the body temperature T2 of an ultrasonic sensor installed on an automobile is collected; the acquisition result is analyzed, if the body temperature T2 is successfully acquired, the transducer temperature T3 is acquired, and the final temperature of the ultrasonic sensor is calculated according to the transducer temperature T3 and the body temperature T2; and if the body temperature T2 is not successfully collected, the outdoor temperature T1 of the automobile is obtained, and the final temperature of the ultrasonic sensor is calculated according to the transducer temperature T3 and the outdoor temperature T1 of the automobile. In consideration of different key parameters, such as transducer resonant frequency, impedance, sensor gain, ground noise and the like, better performance can be embodied after temperature influence compensation, so that measurement of the temperature of the ultrasonic sensor has an important effect on the stability of the whole vehicle body.

The invention discloses a power semiconductor welding layer life evaluation and failure prediction method. The method comprises the following steps: S1, acquiring chip design parameters, power semiconductor module sealing and testing process parameters and power semiconductor module working condition monitoring data; s2, constructing a heat transfer model, a mechanical stress model and an electrical property model by adopting a finite element analysis method according to the data obtained in S1; relates to the technical field of power semiconductors, and aims to comprehensively consider chip design parameters, power semiconductor module sealing and testing process parameters and working condition monitoring data, construct a plurality of physical models, deeply analyze the influence on the service life of a welding layer from multiple dimensions of heat transfer, mechanical stress and electrical performance, and greatly improve the service life of the welding layer compared with single thermal fatigue. Or by mainly depending on specific precursor parameters and utilizing a neural network fitting method, the residual life of the welding layer can be evaluated more comprehensively and accurately, and more accurate life prediction information is provided for reliable operation of the power semiconductor module.

The invention discloses an audio-visual fusion nerve component and an audio-visual fusion target detection method, and belongs to the technical field of intelligent identification. The audio-visual fusion nerve component is a photoelectric detector which takes a ferroelectric semiconductor bismuth-oxygen-selenium as a channel layer and is of a back gate structure, visual information is irradiated to a channel in the form of optical power, and a photoconductive effect is generated; auditory information is converted into a voltage signal to be transmitted to the gate electrode to trigger ferroelectric polarization of the channel, channel conductance is effectively regulated and controlled in the polarization direction, photon-generated carrier generation and transmission behaviors of the channel are further regulated and controlled, and therefore nonlinear audio-visual fusion is achieved. Based on the hyper-additive property, the anti-effectiveness and the space-time fusion principle of the audio-visual fusion, reliability-enhanced audio-visual fusion target identification can be effectively carried out, especially detection of continuous fuzzy targets, including but not limited to vehicle orientation detection and vehicle type identification.

The invention relates to the technical field of early warning broadcasting, and discloses a gridding earthquake early warning broadcasting method for emergency broadcasting, which comprises the following steps: performing gridding partition on a target early warning area to obtain N sub-areas; configuring a broadcast file and a calculation model for the alarm horn in each sub-region; obtaining concurrent information of the early warning center to the N sub-regions; the concurrent information comprises the following steps: respectively inputting the concurrent information into calculation models of different alarm horns in the sub-regions to obtain corresponding broadcast query information; and querying the broadcast file based on the broadcast query information to obtain alarm broadcast information of the alarm horns in the corresponding sub-regions, and broadcasting the alarm broadcast information.

The invention belongs to the technical field of analysis and detection, and relates to an analysis method and an analysis system of ethylene glycol by-product mixed alcohol, the analysis method comprises the following steps: S1, preparing a corresponding reference solution and a standard mixed alcohol solution according to a to-be-analyzed component in the ethylene glycol by-product mixed alcohol; s2, for the reference substance solution and the standard mixed alcohol solution, constructing a standard curve model corresponding to each component through gas chromatography; s3, collecting by-products in ethylene glycol production in real time, and filtering; according to the method, peak areas corresponding to components to be analyzed in the mixed alcohol sample are obtained and then substituted into respective standard curve models respectively, and the content of the components to be analyzed in the mixed alcohol sample is obtained. According to the method, the standard curve model is constructed, and the mixed alcohol is pretreated, so that the content of multiple components in the mixed alcohol is analyzed and detected, the analysis time is shortened, the analysis cost is reduced, and the analysis accuracy and sensitivity are improved.

The invention discloses a low-defect-stress SiC crystal and a SiC substrate, and belongs to the technical field of SiC material preparation. A plurality of SiC substrates are prepared from the SiC crystal, high-pass signals and low-pass signals are distinguished on the basis of the Laplacian pyramid principle, and under the high-pass signals, the overall optical path difference of any SiC substrate is lt; 6 nm, the maximum value of the optical path difference is lt; the standard deviation of the optical path difference is lt; and 3nm. The optical path difference between the SiC crystal and the SiC substrate is small and uniform under a high pass signal, the number of defects in SiC is small, stress concentration caused by in-plane defects is small, and the crystal quality of SiC is more uniform.

The invention discloses a regional load prediction method, system, equipment and medium, and particularly relates to the technical field of power load prediction, and the technical key points are as follows: a plurality of load nodes are clustered in sequence according to weather data, population flow data and urban power consumption characteristics by using a third-order clustering analysis method to obtain a tree-type clustering cluster topological structure; a representative load node is selected from each cluster subset, average correlation coefficients between influence features in weather data of each representative load node and load data are calculated, and the influence features of the first three maximum average correlation coefficients are selected as influence input features of the representative load node; performing modal decomposition on the load data representing the load nodes by using an EMD decomposition method to obtain a plurality of connotation modal components and residual terms; and inputting the influence input feature of each representative load node and the plurality of decomposed connotation mode components into a load prediction model to obtain a load prediction result corresponding to each representative load node.

The invention discloses a day-ahead-day multi-time scale electric vehicle cluster division strategy based on different charging completion times of electric vehicles. According to the method, modeling is carried out through historical travel statistical data, and the moment when the electric vehicles are connected to the network and the moment when the electric vehicles are disconnected from the network are determined; aiming at each scheduling period, considering constraints of a power grid, a vehicle owner, an electric vehicle battery and the like, solving a charging and discharging plan by two layers of strategies, and determining the total charging and discharging power of a cluster in a current time period by taking the minimum load change curve of a power distribution network in a scheduling interval as a target in the upper strategy; the lower-layer strategy takes the lowest cost of an electric vehicle owner as a target, finds a charging and discharging plan of a single electric vehicle, and introduces a scheduling penalty factor to adjust the difference with a cluster charging and discharging plan; according to the method, the load fluctuation can be effectively smoothed, the optimal real-time scheduling difficulty of the large-scale electric vehicle is remarkably reduced, and a better optimization effect and a higher solving speed are achieved for processing the access problem of the large-scale electric vehicle.

The invention relates to the technical field of pesticide residue detection, in particular to a fruit pesticide residue detection device and a using method thereof.The fruit pesticide residue detection device comprises a pedestal and a collecting mechanism, the collecting mechanism comprises a collecting barrel, the inner side of the collecting barrel is fixedly connected with a collecting hopper, and the bottom end of the collecting hopper is fixedly connected with a circulating pump; the input end of the circulating pump is communicated with the inner side of the bottom end of the collecting hopper, the bottom end of the collecting barrel is fixedly connected with an inlet pipe, the top end of the inlet pipe is communicated with the output end of the circulating pump, and the outer side of the bottom end of the inlet pipe is fixedly connected with an elastic plate which is transversely distributed. A sampling reagent can be directly used for collecting and absorbing surface pesticide residues on the surface of a fruit in a fixed area, so that the detection process can be greatly ensured, the sample quantity collection difference caused by fruit sample difference is reduced, the effective collection quantity is increased, the error caused by neglecting the difference of different fruit peels can be reduced, and the detection accuracy is improved. The accuracy of a fruit detection result is ensured.

The invention provides a laser therapeutic instrument and a control circuit and method thereof. The laser therapeutic instrument comprises a laser, a microcontroller in communication connection with the laser and an optical shutter motor used for driving an optical shutter of the laser to be opened and closed, the control circuit comprises an on-off module and a driving module, and the on-off module is controlled by a control signal to be turned on or turned off so as to output an on-off signal; the control signal is output by the microcontroller based on the number of preheating laser pulses, the opening time of the optical shutter and the state of the laser; the driving module is used for configuring the voltage of an optical shutter motor control signal according to the turn-on or turn-off of the on-off module, and the optical shutter motor control signal is used for turning on or turning off the optical shutter motor. The laser shutter can be opened after the laser is preheated, so that the laser pulse emitted into the dot matrix scanning handle is uniform and stable, and the consistency of laser pulse energy in the treatment process is ensured.

The invention provides a TC32 titanium alloy large-specification forged plate and a preparation method thereof. The preparation method comprises the following steps that S1, a TC32 titanium alloy cast ingot is subjected to repeated upsetting and drawing treatment at the temperature of 1000-1200 DEG C, and a cogged forging stock is obtained; s2, the cogged forging stock is sequentially subjected to first heating number upsetting and drawing treatment and second heating number upsetting and drawing treatment below a phase transformation point, a flat square is obtained through the first heating number upsetting and drawing treatment, the second heating number upsetting and drawing treatment is conducted according to the sequence of flat square upsetting, axial upsetting, axial drawing and flat square pressing, and a first flat blank is obtained; s3, the first flat blank is subjected to one-heating-number upsetting and drawing treatment above the phase transformation point, an obtained forging blank is subjected to recrystallization annealing treatment, and a second flat blank is obtained; and S4, the second flat blank is subjected to broadening and drawing-out treatment below the phase transformation point, machining is conducted, and the TC32 titanium alloy large-specification forged plate is obtained. By means of the method, accurate control over homogenization forging deformation of the large-specification plate blank is achieved, and the production period is shortened.

The invention discloses a preparation method of a magnesium alloy surface composite film, and belongs to the technical field of magnesium alloy surface treatment. According to the preparation method, a pretreated magnesium alloy substrate is firstly soaked in an alkaline solution, then the magnesium alloy substrate is sequentially placed in a first hydrothermal growth solution and a second hydrothermal growth solution to be subjected to a hydrothermal reaction, and in the first hydrothermal reaction, a zinc site, namely a nucleation point for in-situ growth of a zinc oxide nanorod, can be formed while an LDHs sheet is formed; in the second hydrothermal reaction, a zinc site formed in the first hydrothermal reaction is used as a nucleation point for in-situ growth of the zinc oxide nanorod, so that the growth of the zinc oxide nanorod array perpendicular to the LDHs sheet can be effectively regulated and controlled, a better sealing effect on the LDHs irregular micro-gap is realized, the LDHs membrane gap is shrunk to several nanometers, and the LDHs membrane has good sealing performance. Furthermore, the difference between the gap sizes is reduced, and the corrosion resistance of the surface composite film is improved. In addition, the preparation method provided by the invention is simple to operate and beneficial to actual production.

The invention provides a deep-learning artificial lens degree determination method and device for a equi syndrome patient and electronic equipment, and relates to the technical field of medical artificial intelligence, and the method comprises the steps: obtaining clinical data of the equi syndrome patient; preprocessing the clinical data of the equi syndrome patient to obtain an eight-dimensional feature data set; performing first-layer prediction on the eight-dimensional feature data set through a plurality of regression models to obtain a plurality of intraocular lens preliminary prediction degrees; and splicing the plurality of preliminary predicted degrees of the artificial lens with the eight-dimensional feature data set, and performing second-layer prediction on the spliced data to obtain a final predicted degree of the artificial lens. According to the method, the IOL degree of the CEL patient can be accurately and stably calculated, so that the technical bottlenecks of a traditional formula and an existing single AI model are overcome, and the success rate of an operation and the visual prognosis of the patient are assisted to be improved.

The present invention relates to the technical field of computational fluid dynamics and computational geometry, and discloses a recursive retrieval method for a spatial point on a given grid area, comprising the following steps: S1, initializing the parameters of a balanced binary tree retrieval structure; S2, opening up a dynamic memory of internal members in the binary tree structure; S3, calculating critical bounding box parameters in background grid body units; S4, recursively constructing the link relationship of balanced binary tree nodes; S5, globally reducing the geometric data of the spatial point to be retrieved; S6, recursively retrieving the contribution units covering the spatial point; S7, returning the pairing relationship between the spatial point and the contribution unit. The present invention solves the problems of low retrieval efficiency in the prior art.

The invention discloses a self-adaptive temperature regulation and control method for a heat treatment furnace, and relates to the technical field of heat treatment furnace regulation and control. The method comprises the following steps: acquiring Q temperature control points of a target heat treatment furnace, and determining a temperature value sequence of the Q temperature control points; carrying out temperature value dense analysis, and determining dense temperature values of temperature control points; obtaining a calibration processing temperature, and carrying out the preliminary recognition of an equipment temperature control parameter adjustment group through combining with the dense temperature values of the temperature control points, and obtaining an initial equipment temperature control parameter adjustment group; performing data synchronous retrieval of Q temperature control points on the historical regulation and control log set to obtain a Q temperature control point attenuation coefficient-equipment temperature control parameter regulation group mapping data set; performing two-item optimization on the initial equipment temperature control parameter adjustment group to obtain a target equipment temperature control parameter adjustment group; and the temperature of the target heat treatment furnace is adjusted and controlled in a self-adaptive mode. The technical problem that in the prior art, the temperature of a heat treatment furnace is difficult to adjust according to the actual situation is solved, and the technical effect of optimizing the heat treatment effect is achieved by conducting self-adaptive adjustment and control on the temperature of the heat treatment furnace.

The invention discloses a SiC crystal with small and uniform in-plane optical path difference and a SiC substrate, and belongs to the technical field of SiC material preparation. The optical path difference of any SiC substrate prepared from the SiC crystal is lt; the difference between the optical path difference of the SiC substrate including the first end surface and the optical path difference of the SiC substrate including the second end surface is in the range of-5 to 5 nm. The optical path difference of any SiC substrate obtained by the SiC crystal is relatively small, and the difference value of the optical path difference of the SiC substrate comprising the head part and the SiC substrate comprising the tail part is small, so that the optical path difference of the SiC crystal can be uniformly distributed along the axial direction.

The application provides an alloy powder and a method for preparing the alloy powder through a short process of metal oxides; the method for preparing the alloy powder through the short process of metal oxides comprises the following steps: S1, providing step-by-step reduced metal oxides and directly reduced metal oxides; performing a reduction pretreatment on the step-by-step reduced metal oxides to obtain pretreated materials; S2, allowing a mixture comprising the pretreated materials and the directly reduced metal oxides to react with a reducing agent in a plasma reaction device to obtain the alloy powder. The application solves the technical problems of different reduction steps of metal oxides, oxygen precipitation interference of step-by-step reduction, difficulty in directly obtaining the alloy powder and a long process flow.

This invention discloses a method and system for labeling prompt words in a large-scale communication domain model based on knowledge graphs. Belonging to the fields of communication technology and artificial intelligence, it addresses the following technical problems: low efficiency in labeling specialized terms in communication domain prompt word annotation, low accuracy and efficiency of automatic recognition, limited prompt word dimensions, and lagging domain knowledge. The method includes: sequence labeling and entity extraction using a trained combined model to output entities; generating relation triples as candidate relations using a trained generator, and scoring and ranking the selected relation triples using a trained discriminator; semantic parsing of user input to extract key entities and intents; multi-hop reasoning from a dynamic knowledge graph to retrieve relevant entities and relations; eliminating illusory content using a trained GAN network; generating entity prompt words from three levels: basic, extended, and application dimensions; and introducing a triple quality verification mechanism.

The present application discloses an array substrate, a display panel and a display device, belonging to the field of display technology. The array substrate includes: a pixel driving circuit, which is arranged in rows and columns corresponding to each pixel area; a first initialization signal line extends along the row direction, and a plurality of first initialization signal lines are arranged in a spaced relationship along the column direction; a second initialization signal line is arranged corresponding to each pixel area, and is located in a different layer and intersects with the first initialization signal line in space, and the second initialization signal line of each pixel area is electrically connected to the corresponding first initialization signal line; a third initialization signal line is arranged corresponding to at least part of the pixel area, and is located in a different layer and intersects with the first initialization signal line in space, and the third initialization signal line corresponding to the same pixel area is electrically connected to the second initialization signal line, and the third initialization signal line in the pixel area corresponding to the i-th first initialization signal line is electrically connected to the i+1-th first initialization signal line. According to the embodiments of the present application, the display effect can be improved.

The invention discloses an operation state detection method and system, and the method comprises the steps: monitoring natural gas transmission and distribution equipment, and collecting multiple groups of operation state data of the natural gas transmission and distribution equipment; performing preprocessing and data fusion on the multiple groups of operation state data to obtain a data set; and training the neural network model based on the attention mechanism by using the data set to obtain a fault category prediction model, and detecting the operation state of the natural gas transmission and distribution equipment by using the fault category prediction model. According to the invention, monitoring and fault detection of the operation state of the natural gas transmission and distribution equipment are realized.

The present invention discloses a metal powder processing system for 3D printing equipment, including a dovetail column, a slide plate is slidably mounted on the outer wall of one side of the dovetail column, and an inverted U-shaped hanger is fixed on the outer wall of the side of the slide plate away from the dovetail column, and a T-seat is fixed at the corner position of the top wall of the inverted U-shaped hanger, and a four-track lifting guide structure is arranged between the four T-seats in the vertical direction, and the four T-seats are slidably mounted with a support ring through the four-track lifting guide structure. The Z-direction spline gear transmission structure of the present invention enables the air jet powder removal structure to rotate around the metal workpiece, thereby reducing the blind area of ​​the air jet, and the complex outer wall geometry of the workpiece can also be fully cleaned to ensure that each angle can meet the high standard of cleaning requirements. Compared with manual operation, it can greatly shorten the cleaning time and greatly reduce the time cost of the later processing of the metal workpiece.

The invention discloses a ternary positive electrode material and a preparation method thereof, and relates to the field of battery positive electrode materials and preparation methods thereof.The ternary positive electrode material is prepared from a nickel-cobalt-manganese hydroxide precursor, lithium salt and an oxygen-enriched oxygen storage material, and the oxygen-enriched oxygen storage material is used for generating oxygen in the preparation process, converting bivalent nickel into trivalent nickel, and storing the trivalent nickel in the lithium salt. And the content of divalent nickel is reduced. According to the invention, the oxygen-rich oxygen storage material is adopted as an additive to sinter the ternary positive electrode material so as to dope and / or coat the ternary positive electrode material, and because oxygen is generated in the sintering preparation process of the oxygen-rich oxygen storage material, divalent nickel in the ternary positive electrode material can be better oxidized into trivalent nickel; the content of divalent nickel in the ternary positive electrode material is reduced, so that the lithium-nickel mixed arrangement degree in the ternary positive electrode material is reduced, migration of lithium ions in the charging and discharging process is facilitated, and the specific capacity and rate capability of the ternary positive electrode material are improved.