226results about How to "Increase generation speed" patented technology

The invention relates to the field of artificial intelligence, and discloses a user question answering method and device, equipment and a medium, and the method comprises the steps: obtaining user question information, and sleeving the user question information into a preset intention reasoning prompt template to obtain an intention reasoning prompt text; an intention reasoning model is called, response strategy information is generated based on the intention reasoning prompt text, and the response strategy information comprises a fusion strategy prompt template, a target intention and a corresponding model input prompt text; calling a domain professional model corresponding to each target intention, enabling each domain professional model to input a prompt text according to the model corresponding to the target intention, generating an intention task feedback text, and sleeving the intention task feedback text into a fusion strategy prompt template to obtain a fusion strategy prompt text; and calling a response fusion model, and generating a response text based on the fusion strategy prompt text. According to the method, more intelligent, natural and similar dialogue services can be provided for the user, and an important progress of a dialogue system technology in the field of artificial intelligence is represented.

The invention provides a potential diffusion model-based building planning image generation method and system. The method comprises the steps of data preprocessing, potential diffusion model structure improvement, input condition optimization, model training, image generation and the like. The relevance between text description and architectural styles is enhanced by preprocessing data sets of architectural design images and urban planning images and introducing channel crossing and space crossing attention mechanisms. Meanwhile, an architectural style embedding vector, an architectural description text embedding vector and a geometric information embedding vector are combined as additional input conditions to ensure that the generated image contains complete information. In a model training process, a multi-scale strategy and depth separable convolution are adopted, so that the recognition capability and training efficiency of the model to a large scene are improved. The system comprises a data preprocessing module, a model optimization module, a model training module, an image generation module and the like, and can generate a high-resolution building image conforming to design specifications. The method and system can be widely applied to the fields of building design and urban planning, and design efficiency and accuracy are improved.

The invention discloses a method for generating a 3D cabinet body based on image recognition, and relates to the technical field of image recognition processing, and the method comprises the steps: obtaining a cabinet body design freehand sketch, carrying out the gray processing of the freehand sketch, and carrying out the denoising enhancement of the freehand sketch through sparse matrix decomposition; extracting sketch design lines and sizes, and establishing an initial three-dimensional cabinet model by using a three-dimensional convolutional neural network; optimizing the initial three-dimensional cabinet body model based on space geometry reasoning and outputting and designing a three-dimensional cabinet body model; and displaying and designing the three-dimensional cabinet body model and storing the three-dimensional cabinet body model to According to the method, the multi-view view of the design freehand sketch is obtained and subjected to gray processing, the sparse decomposition and genetic algorithm is used for denoising enhancement processing, and then design line and size information is extracted, so that the accuracy and accuracy of design scheme recognition are greatly improved; the initial three-dimensional model is generated by using the three-dimensional convolutional neural network, and optimization is performed by using space geometric reasoning, so that the precision and the generation speed of the three-dimensional model are effectively improved.

The invention discloses a stable diffusion model-based generation method for a traffic vehicle image generation task, and the method can improve the similarity between text semantics and generated image semantics, enables a generated image to meet the actual road vehicle style in China, improves the authenticity and diversity of the generated image, and improves the image generation efficiency. And the generation efficiency of the text generated image is optimized. The method comprises the following steps: firstly, modeling a semantic consistency problem of a text and an image, and establishing a semantic alignment enhancement algorithm process according to the semantic consistency problem; making a model scheme through multi-stage training; and finally training the model until convergence and determining a scheduling scheme. The method has excellent performance in the task of generating the image through the text, and the performance in all aspects of the evaluation generation task is improved to a certain extent compared with a baseline method.

The invention discloses a three-dimensional generation method based on semantic enhancement hybrid reconstruction. The three-dimensional generation method comprises the following steps: 1, performing semantic enhancement on an input original text by utilizing a GPT-4 model; 2, generating a two-dimensional image from the text; inputting the semantically enhanced text into a text generation image diffusion model, so that the generated two-dimensional image is beneficial to three-dimensional reconstruction; 3, multiple views are generated from the two-dimensional image, the images generated in the text image diffusion model are input into a multi-view diffusion model, and images at different view angles are generated for three-dimensional reconstruction; 4, performing three-dimensional hybrid reconstruction by using the image and the text, taking the generated multi-view and the original text as input, and generating three-plane representation through a three-dimensional large reconstruction model; 5, generating a three-dimensional grid from the three-plane representation; and taking the three-plane representation as input, and performing contour surface extraction by using FlexiCubes to obtain a final three-dimensional grid. According to the invention, the problems of slow three-dimensional object generation, low quality and misalignment with semantics are solved.

The invention discloses a face makeup real-time generation method based on a two-stage diffusion model, and the method comprises the steps: carrying out the preprocessing of a face-free face image of a user, analyzing the color and contour features of the face of the user, obtaining the personal color information of different users, and classifying the personal color information into a predefined color type, namely, the personal color analysis results of different users; on the basis of a two-stage diffusion model, generating a face makeup image according to the face-free face image uploaded by the user and the personal color analysis result; and carrying out refinement post-processing and optimization post-processing on the generated face makeup image. According to the method, the makeup effect can be finer, accurate adjustment can be carried out according to the individual requirements of the user, it is ensured that the finally generated makeup image is more attractive visually, and meanwhile the stability of the generation model is improved.

The invention relates to the field of path planning, in particular to a path planning method and device based on an RRTstar algorithm, equipment and a storage medium. According to the method, path exploration and planning are carried out by adopting an optimized RRT tree from a starting task point and an ending task point at the same time, the path generation speed is increased by means of powerful computing resources of a computer, and the planning efficiency is improved; then the original path depth is smoothed, the problem that the depth fluctuation of a middle path point is too large can be solved, the path is smoother, and for application scenes such as an autonomous underwater robot sensitive to depth, the influence of depth change on the performance and safety of internal instruments of the autonomous underwater robot can be reduced; iteratively optimizing the smooth path to further improve the quality and adaptability of the path; and finally, the navigation state is obtained according to the iterative optimization path, and the final navigation optimization path is obtained through adjustment according to the navigation state, so that the path planning better fits the actual navigation condition, the feasibility and safety of the path are enhanced, and it is guaranteed that the path planning is better from multiple aspects as a whole.

The invention discloses a multi-target trajectory prediction method based on a multi-attention mechanism, and the method comprises the following steps: carrying out the vectorization processing of the trajectory information and road information of traffic participants in a traffic scene, dividing the global traffic scene into N local scenes, and building a local coordinate system; based on the local coordinate system, aggregating space information, time information and interaction information of the traffic participants in each local scene range, and generating queries containing spatial and temporal characteristics of the traffic participants in parallel; summarizing queries containing spatial-temporal characteristics of traffic participants, and extracting scene-level long-distance interaction characteristics; and generating a prediction trajectory according to the query containing the spatial-temporal characteristics of the traffic participants and the scene-level long-distance interaction characteristics. According to the method, interaction characteristics between traffic participants in a local scene can be extracted more efficiently, redundant interaction can be eliminated in a self-adaptive mode, query is generated in parallel in one reasoning step, rapid reasoning can be achieved, and the track generation speed is increased.

The invention discloses an automatic test case generation and execution method, which comprises the following steps: obtaining input content uploaded by a user, and analyzing the input content uploaded by the user to obtain structured key data; generating a preliminary test case according to the structured key data and a general rule of a knowledge base, optimizing the preliminary test case according to historical data and a code coverage rate, and generating a test case; compiling a test script according to the test case, and executing the test script; analyzing and processing the test execution result, and generating an execution structure and a test case analysis report; and performing optimization processing on the test execution result and the historical data, and dynamically adjusting a test strategy according to an optimization processing result. The invention further discloses a system for realizing the automatic test case generation and execution method. The test efficiency is improved, the test coverage rate is increased, the execution performance is improved, and automatic continuous testing is supported.

The invention relates to the technical field of artificial intelligence, in particular to a character-driven AIGC video generation method, and the method comprises the steps: obtaining a driving character and a character image; generating a target voice feature according to the driving character; obtaining image features and facial features of the figure image according to the figure image; fusing the target voice features, the image features and the face features to obtain multiple frames of video images; according to the multiple frames of video images, a speaking video corresponding to the figure image is generated, the speaking video is an AIGC video, and the speaking content of the speaking video is the content of the driving characters. According to the method, the driving characters serve as input, so that the generation speed of the digital human speaking video is high, semantic information can be mined through the characters, the generation effect of the digital human speaking video is excellent, the digital human is vivid, the expression of the digital human is natural, and the user experience is improved.

The invention discloses a hierarchical solving method for a virtual maintenance attitude of an airplane in a narrow space, and the method comprises the steps: deeply analyzing a plurality of man-machine engineering factors which may affect an operation effect in the maintenance attitude, such as the movable range of each joint of a human body, the balance of the attitude, the comfort, the accessibility and the visibility; a multi-objective optimization model of a virtual maintenance posture is established for the upper body and the lower body for the complex factors. In consideration of special requirements of maintenance tasks in a narrow space, an optimization scheme of an upper body and a lower body is specially designed, so that the optimal operation effect can be achieved with the minimum body burden when maintenance personnel carry out maintenance operation, and secondly, an NSGA-II (non-dominated sorting genetic algorithm II) algorithm for improving a selection strategy is introduced. According to the algorithm, through an improved selection mechanism, an optimal solution can be more quickly converged in a multi-objective optimization process, so that the generation speed and accuracy of the maintenance attitude are remarkably improved.

The invention discloses a 2D digital human generation method and device for a multi-element driving source, and the method comprises the steps: obtaining the driving sources of various elements, i.e., text, voice and video, and a to-be-driven virtual image; a lip-shaped driving source and an action driving source are obtained by using algorithms such as text-to-voice, audio feature extraction and video preprocessing in the driving source analysis module; migrating a posture action and an expression action in the action driving source to a to-be-driven virtual image to obtain a driving result synchronous with the action of the action driving source; the mouth shape in the action driving result is replaced with a new mouth shape according to the lip-shaped driving source, and a result synchronous with the lip-shaped driving source is obtained; and synthesizing the fused audio corresponding to the text and the voice signal with the dual-drive result of the action and the lip shape to obtain a 2D digital human generation result with sound and picture matching. According to the invention, a multi-element driving source is supported to carry out controllable 2D digital human drive generation.

The embodiment of the invention provides an information generation method, device and system, electronic equipment and a storage medium. The method comprises the following steps: receiving target problem information sent by a client; if the FAQ database exists, calling a vector retrieval module to retrieve candidate problem vectors matched with the target problem information in the FAQ database; if a target question vector meeting a preset condition exists in the candidate question vectors, determining target answer information corresponding to the target question information according to the target question vector; if the FAQ database does not exist or the target question vector meeting the preset condition does not exist in the candidate question vectors, target answer information corresponding to the target question information is generated through an answer generation link; wherein the vector retrieval module is arranged in the answer generation link. Visibly, in the technical scheme, the accuracy of the generated answers to the short questions can be improved, and the development, maintenance and management costs of a software system can also be reduced.

The invention discloses an end-side cloud system-oriented multi-task joint scheduling method, which comprises the following steps of: firstly, constructing an end-side cloud system multi-task joint scheduling model on the basis of uniformly describing nodes and tasks of an end-side cloud system; secondly, by taking maximization of the expected benefit of the multi-task joint scheduling as an optimization target, establishing an optimization problem solving constraint, and realizing construction of the optimization problem of the multi-task joint scheduling of the end-side cloud system; and finally, a mode of combining a heuristic strategy and nonlinear optimization solution is adopted to realize step-by-step decision of task execution nodes and task allocation resource quantity, and final generation of a multi-task joint scheduling scheme of the end-side cloud system is completed. According to the method, concurrent computation-intensive task joint scheduling highly suitable for the end-side cloud system can be realized from three aspects of multi-task joint scheduling model construction, multi-task joint scheduling optimization problem establishment and multi-task joint scheduling scheme generation.

The invention provides a zero-sample 3D generation method for enhancing viewing angle consistency, and aims to solve the problem of inconsistency, namely a'multi-surface 'problem, of the same object under different viewing angles in the current 3D generation technology. This problem originates from typical perspective preferences of a pre-trained generative model. Therefore, a visual angle decoupling method VDM is adopted to extract visual angle features to eliminate visual angle prior preferences and enhance visual angle control, meanwhile, similarity partial order loss PSL is introduced to optimize similarity distribution of images between visual angles, and it is ensured that the generated 3D images keep high consistency under different visual angles. In addition, the technology is also combined with a 3D Gaussian splashing technology, so that the rendering effect and detail performance of the model are further enhanced. According to the scheme, the authenticity and consistency of the 3D content are remarkably improved, the method is more suitable for the fields of virtual reality, game design, industrial design and the like, and practicability and development of the zero-sample 3D generation technology are greatly promoted.

The invention belongs to the technical field of nuclear power, and particularly relates to a black box transferable voiceprint recognition system attack resisting method and device based on frequency domain disturbance. According to the invention, the perception of the human ear on the voice signal is considered and simultaneously depends on the characteristics of the frequency and the loudness of the voice signal, and the adversarial disturbance is added in the frequency interval insensitive to the human ear, so that the voice adversarial sample generated by the method is hidden to the human ear, the human ear is difficult to distinguish, and the model classification is wrong; in order to solve the problems that most black-box countermeasure attack methods need to query a large amount of attack targets, the attack time is long, and practical application is difficult, the method utilizes the transferability of countermeasure samples, adopts a three-stage iteration method, and improves the concealment and generation speed of the countermeasure samples, so that a large amount of query of the attack targets is avoided, and the security of the countermeasure samples is improved. The method achieves the high-success-rate countermeasure attack for an unknown voiceprint recognition system.

The invention discloses a speaking face video generation method based on Gaussian splashing, and mainly relates to two stages. In the first stage, a large-scale data set is used for pre-training a model for generating dynamic facial expression coefficients based on audio. The model learns universal facial expressions and motion modes based on audio information and image information, and can generate dynamic facial expression coefficients synchronized with audio. And a second stage, performing fine adjustment on the pre-training model by using the data set of the target person, obtaining a face expression coefficient based on the fine-adjusted model after fine adjustment is completed, further training a Gaussian deformation network driven based on the face expression coefficient to perform deformation processing on the Gaussian point cloud, and performing rasterization to obtain a speaking image of the target person. And finally, integrating the two-stage model, and synchronously merging the frame-by-frame image and audio content to realize a speaking face video generation task. According to the method, the dynamic face corresponding to the brand new audio which does not appear in the data set can be quickly generated, the naturalness and high quality of the generation result can be ensured while the high generation speed is kept, and audio and video synchronization and high reduction of expression details are realized.

The invention provides an error log processing method and device, equipment, a storage medium and a program product, and the error log processing method comprises the steps: obtaining a plurality of error logs, and carrying out the clustering processing of the plurality of error logs through a clustering algorithm, and obtaining a plurality of error log classes; performing filtering processing on each error log class to obtain a target error log class; grouping the error logs in the target error log class to obtain a plurality of first log groups; based on the error logs in the first log groups, error log templates corresponding to the first log groups are generated, and fault causes are analyzed according to the error log templates. According to the method, similar error logs are clustered into one class, so that the rapid detection and analysis capability of the error logs is improved, and the processing efficiency of the error logs is improved. Meanwhile, useless error logs are filtered out, and the accuracy of subsequent error log template generation is improved.

The embodiment of the invention discloses a radar target echo signal generation method. The method comprises the following steps: loading and analyzing an XML (Extensible Markup Language) file for describing a radar echo simulation scene to obtain an analysis result comprising simulation scene duration of the radar echo simulation scene, parameters of a plurality of targets and parameters of a radar; according to the pulse repetition period PRI of the radar, segmenting the duration of the simulation scene to obtain a plurality of simulation slices; based on the analysis result, executing a first simulation calculation operation for each simulation slice by using a multi-core parallel thread of a graphics processing unit (GPU); traversing a plurality of simulation slices by taking each PRI as a simulation step length; based on the first simulation calculation operation result, second simulation calculation operation is executed in parallel, echo signals of the multiple targets are obtained, superposition processing is carried out, and radar target echo signals are obtained. According to the method, the generation speed of the radar echo signal can be greatly improved, and the requirements of real-time simulation and high-performance calculation are met.

The invention provides an efficient and stable generative model based on noise scheduling and accelerated sampling, and relates to the technical field of artificial intelligence generative models. According to the efficient and stable generation model based on noise scheduling and accelerated sampling, the distribution proportion between the image and the diffusion factor is controlled, and the growth rate of noise is dynamically adjusted in different stages of the diffusion step, so that the diffusion factor grows faster in the early stage and gradually tends to be stable in the middle and later stages; the influence of too fast noise accumulation on the generation effect is avoided, in addition, the quality of the generated image is optimized by fusing the statistical characteristics of the diffusion factors, and modeling is carried out through the statistical characteristics of the diffusion factors. According to the method, the Gnoise-sigmoid function is used for controlling the increasing rate of the noise in the diffusion process, and the problem of instability of traditional linear or cosine noise distribution in the generation process is solved. Through smoothing noise distribution, rapid diffusion in an early stage and stable transition in a middle and later stage, excessive accumulation of noise is reduced, and the quality of the generated image is improved.

The invention relates to the technical field of warehouse management, in particular to a warehouse data display method and device, computer equipment and a computer readable storage medium. The storage data display method comprises the following steps: obtaining storage data, wherein the storage data at least comprises shelf information of a plurality of shelves in storage; a plurality of storage data sets are determined from the goods shelf information, the storage data sets at least comprise position data sets and occupancy data sets, the position data sets are used for representing position information of the goods shelves in storage, and the occupancy data sets are used for representing occupancy information of the goods shelves; based on the position data set, a goods shelf table is generated, the goods shelf table comprises a plurality of cells, and each cell is in one-to-one correspondence with each goods shelf; determining the color of each cell based on the occupation data set, and rendering a shelf table; and displaying the rendered shelf table. The position information of the goods shelf is displayed through the goods shelf table, the occupation condition of the goods shelf is distinguished through the colors of the cells, and therefore the storage condition is clearly and efficiently displayed in a plane mode.

The invention belongs to the technical field of embedded software communication, and particularly relates to a method and device for automatically generating a radar interface control file, and the method comprises the steps: S1, forming a first editing interface for carrying out the content editing of an interface control file; s2, generating an index entry of the interface control file in the first editing interface according to the attribute of the interface control file input by the user; s3, generating a complete interface control file according to the content and the attribute of each element input by the user and the hierarchical relationship among the elements; s4, generating a word document or an xml document from the complete interface control file according to user appointment; and S5, in a second editing interface, generating the xml document into a header file program through editing according to a preset mapping specification. According to the method, the ICD design process is simplified, the ICD multiplexing degree is improved, the ICD specification degree is improved, and the ICD design accuracy is improved.

The invention provides a random number oscillator and a random number generator based on a magnetic tunnel junction array. According to the random number oscillator provided by the invention, the read-write selection circuit and the magnetic tunnel junction array are arranged, and read-write control is carried out through the read-write selection circuit in each oscillation period, so that the resistance value of the magnetic tunnel junction array is randomly distributed between the first resistance value corresponding to the parallel state and the second resistance value corresponding to the anti-parallel state; according to the random number oscillator, a random process of binomial distribution is formed, and further, the magnetic tunnel junction array is used as a current type frequency determining element or a resistance type frequency determining element in the random number oscillator, so that the oscillation frequency of the random number oscillator can be controlled by the resistance value of the magnetic tunnel junction array; and the random change of the resistance value directly affects the oscillation frequency, so that the oscillation frequency is randomly switched along with the random change of the resistance value, and therefore, randomness is introduced directly based on the resistance change, and the generation speed of the random number can be increased.

The invention relates to the technical field of GPS track generation, in particular to a method for generating a GPS track based on a distributed parallel reasoning diffusion model. The method has the advantages that the GPS track generation model based on the diffusion model is constructed; the real GPS track is used for training a diffusion model, and a mean square error of prediction noise and forward diffusion noise minimization is obtained; based on the trained diffusion model, generating information which is divided into a plurality of image blocks for the GPS track of the same diffusion task, distributing different image blocks to different GPUs for calculation, and asynchronously activating functions among the GPUs; the results finally obtained by the GPU are aggregated together, and predicted noise is obtained; and adopting the mode until the reverse generation process is completed, and outputting a predicted GPS track picture. According to the method, the GPS track can be generated through the diffusion model, the speed of generating the GPS track by the diffusion model is increased through the multiple GPUs, and the generation efficiency of the diffusion model is improved.

The invention discloses an image generation method and device, equipment and a medium, and belongs to the technical field of image generation. The method comprises the following steps: obtaining quantitative sensitivity of each network layer in a first model, wherein the first model comprises at least one network layer; determining a first network layer in the at least one network layer according to the quantization sensitivity of each network layer and a first sensitivity threshold; receiving a first input to the first model; and under the condition that the first model performs image generation reasoning according to the first input and the at least one network layer, performing quantification processing on the first network layer to obtain a first image generated by the first model. According to the scheme, the quality of the generated image can be guaranteed in the process of generating the image, and meanwhile the image generation speed is increased.

The present invention relates to the field of carbonization furnaces, and specifically to a high-temperature carbonization furnace. It comprises a furnace body, a furnace cover is provided on one side of the furnace body, a locking clip is provided on the furnace body, a heater is provided inside the furnace body, a purifier is provided outside the furnace body, and further comprises: a dehumidification unit, the dehumidification unit is located between the furnace body and the purifier, and performs dehumidification treatment on damp firewood sticks before carbonization; a power unit, the power unit is located between the dehumidification unit and the furnace body, and provides power for the dehumidification unit. The present invention is provided with a dehumidification unit outside the furnace body, a power unit is provided between the dehumidification unit and the furnace body, the power unit is connected with the furnace body, flue gas is introduced into the power unit, and the power unit provides power for the dehumidification unit, thereby achieving the effect of the dehumidification unit dehumidifying the firewood sticks before carbonization, so as to reduce the influence of moisture on the firewood sticks when the firewood sticks enter the carbonization furnace on the carbonization quality of the firewood sticks.

The embodiment of the invention provides a code task processing method, a code error correction method and a code processing model training method. The code task processing method comprises the steps of obtaining an original code file and an original modification scheme of the original code file; adding a region identifier in the original code file and the original modification scheme to obtain a to-be-processed code file and a to-be-processed modification scheme; inputting the to-be-processed code file and the to-be-processed modification scheme into a code processing model to obtain a region identifier sequence; and generating a target modification file of the original code file according to the region identifier sequence. By introducing the region identifiers, the mode of generating codes by the model is switched into the mode of only generating the region identifiers, the length of a model output text is greatly reduced, the generation speed is increased, and due to the fact that all the region identifiers are associated with an original code file and an original modification scheme, the generation efficiency is greatly improved. The target modification file can be quickly generated based on the region identifier sequence, and the generation efficiency of the target modification file is improved.

The invention belongs to the technical field of edible mushroom culture, and particularly relates to an edible mushroom culture device which comprises a culture tank, an air inlet barrel and an air draft barrel are fixedly communicated with the tank wall of the culture tank in an oblique symmetry mode, dustproof nets are fixedly installed at the ends of the air inlet barrel and the air draft barrel, an exhaust fan is fixedly installed in the air draft barrel, and the exhaust fan is fixedly installed in the air draft barrel. A temperature sensor, a humidity sensor and a carbon dioxide concentration sensor are respectively arranged on the tank wall of the culture tank. According to the invention, the temperature, humidity and carbon dioxide concentration in the culture process can be monitored in real time, the culture temperature, humidity and carbon dioxide concentration can be regulated and controlled in real time based on monitored values, and the growth process of edible mushrooms can be reversely and rapidly inferred based on the change speed of the carbon dioxide concentration. And on the basis of the growth process of the edible mushrooms, set threshold values of the culture temperature and humidity are automatically regulated and controlled, and the culture temperature and humidity are accurately regulated and controlled by automatically following the growth process of the edible mushrooms, so that the culture quality is improved.

The invention relates to the technical field of computer software, and discloses a bridging method and system for a cross-language interface of KaihongOS, a terminal and a storage medium. The method comprises the steps that an interface definition file is analyzed, and function declaration information of a target interface is obtained; analyzing a native interface definition file to obtain implementation information of a native interface corresponding to the target interface; and based on the function declaration information and the implementation information, according to a preset bridging rule, automatically generating a bridging function code conforming to a target operation environment, and bridging a cross-language interface through the bridging function code. According to the method, through automatic analysis and code generation, the bridging function code meeting the target operation environment is automatically generated by improving the code quality, and repeated labor and potential errors in manual writing are avoided. A preset bridging rule ensures the consistency and maintainability of codes, the technical threshold can be effectively reduced, and the project cycle is shortened.

The embodiment of the invention discloses a digital twin generation method and device based on electrical topology, equipment and a medium. The method comprises the following steps: acquiring electrical topology information of a transformer substation; the electrical topology information comprises relative coordinate information of the electrical equipment and connection relation information between the electrical equipment; based on the relative coordinate information of the electrical equipment, scanning coordinates of the electrical equipment in the initial digital twin are updated, and an updated digital twin is obtained; and generating a line model between the electrical devices in the updated digital twin based on the connection relationship information between the electrical devices to obtain a final digital twin. According to the technical scheme, the final digital twinborn body is generated in the initial digital twinborn body based on the topological information of the electrical equipment, the generation speed of the digital twinborn body is increased, and the generation quality of the digital twinborn body is improved.