58results about How to "Generate flexible" patented technology

According to the energy storage coupling heat pump steam generation method and system, the mode that the heat pump device and the energy storage device cooperatively operate is adopted, and efficient and economical steam supply is achieved. The method comprises the steps that high-temperature water is prepared and stored in the off-peak electricity period through the heat pump device, and the high-temperature water is further heated through the energy storage device to generate superheated steam for a user to use. The energy storage device comprises a plurality of energy storage modules, and a heat exchange pipeline of the energy storage device can be switched between a parallel connection mode and a series connection mode through switching, so that deep heat release and flexible regulation and control are achieved. According to the method, the energy storage capacity and heat release power of the energy storage module are dynamically adjusted, enthalpy increment distribution of the heat pump and the energy storage device is optimized in combination with load prediction, and diversified steam requirements are met. And meanwhile, preheating or dynamic supplement is conducted on the energy storage module through the heat pump device, waste heat recovery is achieved, and the energy efficiency is improved. According to the method, the operation cost is remarkably reduced, the capacity of the system for adapting to load fluctuation is enhanced, and the method is suitable for industrial steam use scenes and has the advantages of being efficient, stable and flexible.

The invention belongs to an electromagnetic simulation technology, and provides an integral equation grid adaptive encryption method based on non-conformal grid current discontinuity estimation, which is used for efficiently obtaining a high-precision simulation result. The method comprises the following steps: firstly, using a conformal or non-conformal triangular mesh discrete model surface, defining a MultiBranch-RWG primary function on a discrete mesh unit, establishing an electric field integral equation, and solving to obtain surface current distribution; then, according to the surface current distribution, a current discontinuity error estimation method is utilized to calculate and obtain a current discontinuity error of each grid unit; and finally, traversing current discontinuity errors of all grid units, when the current discontinuity error of any grid unit is greater than a preset threshold value, executing adaptive encryption, and executing iteration by taking the adaptively encrypted grid as input. Otherwise, outputting the grid information. According to the method, higher precision can be realized with lower calculation cost, grid generation is more flexible, and the method is more suitable for complex targets.

The invention relates to document generation, in particular to a dynamic document generation method and system based on a large language model LLM, and the method comprises the steps: receiving application form data, carrying out the parameter mapping and data binding of the application form data, converting the application form data into structured data, and storing the structured data into a relational database; converting the submitted document into vectorized data, and storing the vectorized data into a vector database; retrieving vectorized data highly related to the submitted document from a vector database to realize deep understanding and intelligent matching of the submitted document; retrieving model configuration information from the relational database, and dynamically creating a model instance according to the model configuration information; according to the variables defined in the document template and the model instances associated with the variables, integrating contents generated by the model instances into the document template so as to specify that specific contents are generated in the document generation process; according to the technical scheme provided by the invention, the defect that the accuracy, the correlation and the diversity of the generated document are relatively insufficient in the prior art can be effectively overcome.

The invention belongs to the field of temperature sensors, and particularly discloses a CMOS temperature sensing front-end circuit with an adjustable output voltage range, which comprises a temperature sensing module, a bias module, an output module and a power supply module, and is characterized in that the power supply module is respectively connected with the temperature sensing module, the bias module and the output module, and the temperature sensing module is respectively connected with the bias module and the output module; the bias module is connected with the output module; the power module provides voltage for the temperature sensing module, the bias module and the output module, the temperature sensing module detects temperature and outputs current with a positive temperature coefficient and reference voltage irrelevant to the temperature, and the bias module converts the reference voltage into bias current needed by the output module. And the output module converts the current with the positive temperature coefficient into a controllable voltage with a negative temperature coefficient. According to the invention, the flexible control of the output voltage range is realized, and the precision of the temperature sensor is improved. The invention is suitable for the temperature sensor system.

The invention relates to the field of video generation, and discloses a cartoon video generation method, cartoon video generation equipment and a storage medium. The method comprises the steps of receiving a text making instruction; judging whether the text making instruction is an instruction for making a specified neural network or not; if yes, inputting the theme content setting, the story background setting and the role information setting into a preset AI text generation model to generate a story text; judging whether the story text limits the image to maintain the original text; when the story text is not limited, performing scene division and retouching processing on the story text to generate scene description; when the story text is limited, performing division processing on the original story text to generate scene description; performing drawing processing on the scene description to generate image data; dubbing the story text to generate dubbing data; and combining the dubbing data and the image data to generate an audio cartoon video. In the embodiment of the invention, the neural network is utilized to draw images and make dubbles for the story text, and the picture book cartoon video is efficiently generated at low cost.

The invention discloses a service report generation method and device and electronic device.The method comprises the steps that a report export request is responded, a service data model associated with a report template indicated by the report export request is obtained, and the service data model comprises data obtaining strategy information of service fields in the report template; based on the data acquisition strategy information, acquiring a field value of the service field; and filling the report template based on the field value of the business field to obtain a business report.

The invention belongs to the technical field of laser, and discloses a room-temperature high-energy deep ultraviolet laser generating device based on second-order and third-order nonlinear effects, which comprises a Raman crystal, a frequency doubling crystal, a frequency quadruplicating crystal, a sum frequency crystal and a color separation mirror, the fundamental frequency light is subjected to stimulated Raman scattering in the Raman crystal to generate Stokes light, and the frequency doubling crystal performs frequency doubling on the residual fundamental frequency light to generate second harmonics; frequency doubling is carried out on the second harmonic in the quadruplicated frequency crystal to generate a fourth harmonic; and the sum frequency crystal carries out sum frequency on the Stokes light and the fourth harmonic wave to finally obtain the deep ultraviolet laser with the 216.3 nm wave band. According to the invention, non-linear optical second-order harmonic conversion and third-order stimulated Raman scattering effects are combined, laser with the wavelength slightly longer than the wavelength of fundamental frequency light is obtained through stimulated Raman scattering, and the laser and fourth harmonic of fundamental frequency light are subjected to frequency summation in a large-aperture non-linear crystal under the room temperature condition, so that high-energy deep ultraviolet laser with the waveband of 210 nm is obtained.

The invention discloses a hyperspectral generation method and device based on spatial super-division enhancement, and the method comprises the steps: carrying out the up-sampling of a preprocessed hyperspectral image through employing an interpolation technology, cutting a plurality of training blocks from the hyperspectral image after the up-sampling through employing a cutting technology, and generating a training sample; extracting three wave bands from each training block, and combining the three wave bands into an RGB image; constructing a generative model; wherein the generation model comprises a DSRNet model and a rectangular attention guiding network; setting a generation condition for the ultrahigh-resolution hyperspectral image; obtaining training samples as a training set; performing iterative training on the generative model by using the training set to obtain a final generative model; wherein the final generation model is used for responding to various generation conditions to generate a hyperspectral image meeting the generation conditions. The problem of how to realize high-quality, high-diversity and controllable hyperspectral image generation is solved.

The invention relates to software development, in particular to a software generation method based on multilayer semantic analysis and progressive module extension, which comprises the following steps: describing related software requirements by a user through a natural language, and acquiring context information according to user description; performing multi-layer semantic analysis on the user description by utilizing natural language processing and semantic layering; mapping the multi-layer semantic analysis result to a pre-designed function module, and carrying out modular design on the function module; generating modular codes according to the modular design, and integrating the modular codes into a complete software system; performance testing and user experience are carried out on the software system, self-iteration optimization is carried out based on the performance testing and the user experience, and progressive expansion is carried out on the function and the performance of the function module according to an optimization target in each optimization process; according to the technical scheme provided by the invention, the defects that codes are difficult to generate flexibly according to personalized semantic requirements and improvement and perfection cannot be carried out according to actual operation effects can be effectively overcome.

The invention provides a test data combination processing method and device, computer equipment and a storage medium, and belongs to the technical field of data processing. The method comprises the steps that target test parameter information is read, the target test parameter information comprises information of a plurality of parameters, and the information of each parameter comprises a parameter name, a parameter type and an original parameter value; generating an initial test data combination according to the target test parameter information; determining a to-be-used parameter value of each parameter according to a parameter type and an original parameter value of each parameter in the target test parameter information; and replacing the original parameter value of each parameter in the initial test data combination with the to-be-used parameter value to obtain a to-be-used test data combination. According to the method and the device, different test data can be flexibly generated according to business requirements, and the generated data combination can be directly applied to business testing.

The present disclosure relates to systems, methods, and non-transitory computer-readable media for performing interactive digital image editing operations with machine learning models and feature backpropagation refinement layers. For example, the disclosed systems perform interactive digital image editing operations by incorporating a feature backpropagation refinement layer into a non-interactive machine learning model that utilizes a consistency loss to adjust the feature backpropagation refinement layer according to one or more user interactions. In some embodiments, the disclosed systems utilize a feature backpropagation refinement layer that includes a bias sublayer for localizing changes to a digital image and a convolution sublayer for per-channel scaling and feature combination across channels. In some cases, the disclosed systems utilize a consistency loss that facilitates localized modifications to a digital image based on a distance of various pixels or features from a user interaction.

The embodiment of the invention discloses a test method and device for simulating multi-user login, a storage medium and a program product. The method comprises the following steps: constructing a test command at a test end, and configuring a tested end identifier, a user name prefix, a serial number initial value and a login number to the test command; initiating the ith round of test by executing the test command, wherein the initial value of i is 1; in the ith round of test, an authentication login request of the user is simulated based on the user name prefix, the number initial value and the login number, and the authentication login request is sent to the tested end based on the tested end identifier; monitoring whether the number of concurrent users of the tested end is in an increasing state or not in real time; if not, the maximum concurrent user number is obtained and serves as the concurrent authentication login capacity of the tested end, and the test is ended; if yes, updating the test command based on the test information, and executing a new test command, i = i + 1. According to the method, the multi-user concurrent login can be simulated by executing and updating the test command, and the multi-user concurrent login performance of the tested end can be automatically tested.

According to the VR simulation sensor test method and device, the storage medium and the computer equipment provided by the invention, VR movement parameters are acquired, and a plurality of prediction scene pictures are determined in a virtual scene according to the VR movement parameters; sending the VR movement parameters to VR equipment, projecting a virtual scene to a scene projection screen, and triggering a sensor in the VR equipment to perform interaction according to the VR movement parameters so as to realize simulated movement; acquiring simulation movement data of the sensor, and adjusting the virtual scene on the scene projection screen; when it is determined that the sensor simulates and moves to the preset target position, determining an actual scene picture collected by the VR equipment from the adjusted scene projection screen; and determining a target scene picture corresponding to the preset target position in each predicted scene picture, comparing the target scene picture with the actual scene picture, and determining an operation precision test result of the sensor according to a comparison result. Therefore, the test cost can be reduced, and the test repeatability and flexibility can be improved.

The invention relates to an equipment fault diagnosis and monitoring system based on flexible configuration, and the system comprises a fault diagnosis algorithm management module which supports a user to upload and manage a fault detection algorithm; the fault diagnosis task module supports a user to customize a fault detection task; the configuration monitoring design module supports a user to configure a factory environment and equipment according to actual conditions, and also supports association of a configuration component and database data; and the configuration monitoring deployment module is used for supporting a user to check a configuration picture through a front-end browser so as to monitor equipment parameters and states. The whole system is realized by adopting a B / S architecture. According to the method, the equipment fault diagnosis and monitoring task can be flexibly generated and deployed through flexible configuration, so that the period of implementing and deploying the equipment fault detection task by enterprise users and developers is shortened, subsequent business upgrading and maintenance are facilitated, and the flexibility and fault tolerance of the system are improved while functions are realized.

The invention discloses a large-scale network traffic modeling and parallel simulation method, which comprises the following steps: firstly, collecting traffic data packet information on a gateway router, extracting header information of the collected traffic data packet, then carrying out traffic identification on the data packet to obtain TCP (Transmission Control Protocol) traffic data, counting traffic characteristics based on network self-similarity and carrying out unsupervised clustering; the method comprises the following steps of: clustering flow with strong correlation into one class, preprocessing each class of clustered flow data, putting each class of flow as training data into a WGAN-GP flow generation model for training through multiple processes to obtain a flow generation model of multiple classes of flow, and enabling all the trained flow generation models to generate flow in parallel through multiple processes. And combining the generated flows to obtain simulation network flows which are distributed complexly and accord with reality. According to the method, large-scale network traffic can be processed, large-scale complex traffic of backbone network traffic can be efficiently processed, and simulated network traffic which is more complex in distribution and more conforms to practical characteristics is generated.

The invention provides an image animation generation method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the feature extraction of a reference image and a driving video based on an encoder of a generative model, obtaining image features and video features, and enabling the image features to comprise three-dimensional texture features; an optical flow transformation module based on the generative model processes the image features and the video features to generate a motion optical flow; based on a decoder of the generative model, decoding the three-dimensional texture features and the moving optical flow to obtain a plurality of target images; and synthesizing the plurality of target images into an image animation based on a generation module of the generative model. Through the combination of the three-dimensional texture features and the motion optical flow, the motion change of the three-dimensional space can be accurately captured, and the stretching distortion problem in the image animation generation is obviously reduced, so that the natural sense and the reality sense of the animation are improved.

The invention discloses a text-to-SQL (Structured Query Language) generation method for reservoir data monitoring and early warning. And by introducing a refined grammar dependency relationship and limiting the complexity of edge embedding, the generalization ability of the model is improved. The method comprises the following steps: firstly, setting a maximum attribute distance to obtain a distance relationship between words, then fusing grammar information into a model, and processing in two steps. Firstly, a forward dependency relationship and a backward dependency relationship are divided according to relative positions among words; and then marking four special dependencies, so that the model pays attention to key grammar information, and omission of main contents in a generation result is avoided. Meanwhile, in combination with a node center graph, an edge center graph and self-attention of relation perception, global reasoning of the problem and structured reasoning of a predefined mode relation are combined. Through the method, data such as the water level and the flow of the reservoir can be inquired in real time based on natural language input, potential risks such as flood and drought are predicted, and timely early warning information and response measures are provided for related departments and the public.

The embodiment of the invention provides a method and a device for dynamically generating an upper computer interface of a battery management system. The method for dynamically generating the upper computer interface of the battery management system comprises the following steps: acquiring parameter information of a plurality of battery parameters corresponding to a battery module in the battery management system; reading a configuration file generated by a user through user-defined configuration, analyzing the configuration file to obtain a template view corresponding to the parameter information, and obtaining a binding relationship between different battery parameters and different template controls; determining target template controls bound with the plurality of battery parameters according to the binding relationship, and combining the target template controls according to the template view to generate an initial upper computer interface; and based on the binding relationship, dynamically filling the target template control in the initial upper computer interface with the parameter information, and generating a target upper computer interface for visual display.

The present invention relates to the field of automatic navigation technology, and specifically to a navigation scheme planning method, system, and storage medium, wherein the method comprises: obtaining the location information of a departure place and a destination; searching for the departure public transportation station closest to the departure place and the destination public transportation station closest to the destination according to the location information of the departure place and the destination respectively; respectively calculating the total driving path generated according to the location information of the departure place and the destination and calculating the corresponding total driving distance, and generating the initial driving path according to the location information of the departure place and the departure public transportation station, and calculating the corresponding initial distance; judging whether the difference between the total distance and the initial distance is less than a first predetermined value preset by a user; if it is less than the first predetermined value, selecting the total driving path as the navigation path. The navigation scheme of the present invention includes a mixed mode of public transportation and driving; it can take both cost and speed into consideration, and effectively improve the user experience of citizens.

The invention provides a method and a device for automatically capturing a demolition unit in a finite element model. The method comprises the following steps of: extracting a unit number of a component unit in a file unit sequence of an INP file; a region matrix and an index dictionary are established based on the unit numbers, the region matrix comprises the corresponding relation between the component units in the target region and the unit attributes of the component units, and the index dictionary comprises the corresponding relation between the unit numbers and the component units. And segmenting the region matrix to obtain a demolition matrix and a fixed matrix, wherein the demolition matrix comprises a corresponding relation between a demolition unit and a unit attribute of the demolition unit. And generating a one-dimensional list corresponding to the demolition units during each demolition according to the demolition matrix and the index dictionary. And simulating a dismantling scheme corresponding to each dismantling based on the dismantling matrix, the fixed matrix and the one-dimensional list in the finite element model to obtain a dismantling result. According to the method provided by the invention, the component unit can be efficiently captured.

The invention discloses a medical information processing method, a medical information processing device, equipment and a medium. The method comprises the following steps: acquiring first medical related information corresponding to a target organ of a target object; using the first medical related information and a first preset text to form first prompt information; the first prompt information comprises a limiting condition, the first prompt information is used for indicating the first large language model to generate the processing prompt information meeting the limiting condition, and the first large language model is utilized to generate the processing prompt information for the target organ based on the first prompt information. And flexible generation of the processing prompt information is realized by utilizing a large language model, and medical personnel are assisted in processing medical information.

The invention discloses a Chinese character font generation method and a terminal, and the method comprises the steps: obtaining a font file, and extracting a Chinese character image set from the font file, the Chinese character image set comprising a first source font image set and a first target font image set; training a font generation model according to the first source font image set and the first target font image set, and inputting a second source font image set into the trained font generation model to obtain a second target font image set; and converting the second target font image set into a vector image set, and creating a new font file according to the vector image set. Through the trained font generation model, the second target font image set is generated according to the second source font image set, automatic image generation and image visual style conversion are realized, the generated bitmap image is converted into the vector image, the font is created according to the vector image, the font design efficiency is improved, and the font design efficiency is improved. And diversified design requirements and application scenes are met.

The present invention relates to the field of digital communication and ranging technology, and in particular to a ranging pseudocode design method and system, the ranging pseudocode design method comprising: based on instructions and parameters, generating multiple pseudocode sequences, selecting the pseudocode sequence that meets a first preset condition to perform a chip flip operation to generate multiple bit-balanced pseudocode sequences, and sending the multiple bit-balanced pseudocode sequences into a first set, wherein the instruction represents the pseudocode type and the parameter represents the order; sequentially evaluating the performance index of the bit-balanced pseudocode sequence in the first set, selecting the bit-balanced pseudocode sequence whose performance index meets a second preset condition as the target pseudocode sequence; verifying whether the performance index of the target pseudocode sequence is better than a reference value, and if so, using it as a ranging pseudocode. The present invention is conducive to eliminating the main lobe noise generated during carrier modulation, and is conducive to increasing the capture and tracking accuracy of the ranging pseudocode.

The invention relates to a test report generation method and device, equipment, a storage medium and a program product. The method comprises the following steps: displaying an import control and a report generation control in a data processing interface in a simulation experiment application; in response to a trigger operation on the import control, acquiring collision simulation experiment data under a file directory corresponding to the import control; in response to a trigger operation on the report generation control, generating a test report according to the collision simulation experiment data, and switching to a report display interface in the simulation experiment application to display the test report; the report display interface comprises an update control for the test report. By adopting the method, the test report can be automatically generated and displayed, the test report does not need to be generated manually, and the generation efficiency of the test report can be improved. Besides, the report display interface comprises the update control for the test report, so that the test report can be updated based on the update control, and the test report can be generated more flexibly.

The invention discloses an automatic driving simulation track generation method, which comprises the steps of generating an action set for a vehicle track point set, and obtaining the vehicle track point set by downsampling original vehicle track data; on the basis of a word list generation algorithm, sub-action sets meeting distance conditions are selected from the action set, the sub-action sets are coded, a vocabulary set is generated, and the distance conditions include that the distance between any actions is not smaller than a preset threshold value; searching lexical elements corresponding to the target action and codes of the lexical elements in a vocabulary set; and inputting the lexical elements of the target action and the codes of the lexical elements into an autoregression model for track reconstruction to obtain simulation track points. According to the method, the efficient motion word list is generated by sampling a large amount of vehicle motion data for track simulation generation, so that the dynamic simulation degree of the model is improved.

The present invention provides an image generation method and a DSC test method, which relate to the field of computer vision technology, and in particular to the field of image generation, image processing and image display technology. The specific implementation scheme is: input the configuration information of the test scene into the target component to obtain the file header, image header and direction header output by the target component; input the file header, image header and direction header into the image generation model to obtain the test image generated by the image generation model. The technical solution disclosed in the present invention can flexibly generate test images according to the needs of the test scene, which helps to improve the diversity and effectiveness of test data in the DSC test, thereby improving the reliability of the DSC test.

The invention provides a component editing method which comprises the steps that a game editing scene is displayed in a graphical user interface, and the game editing scene comprises a plurality of virtual components; and in response to a selection operation for a first virtual component and a second virtual component in the plurality of virtual components, displaying an associated display effect of the second virtual component in a target surface area of the first virtual component, the associated display effect being determined based on visual features of the second virtual component. Therefore, the user can directly use the existing component in the scene to generate the sticker effect and preview the sticker effect in real time without the tedious process of screenshot, export and reimport.

The present invention relates to the field of electronic automation design technology, and in particular to a time-based linear programming wafer-level chip architecture optimization method, system and storage medium, which automatically generates a group of candidate core groups through input core information and wafer information, and performs preliminary screening on the candidate core groups; performs group layout on the screened candidate core groups, and performs secondary screening on the core groups; each candidate core group after the secondary screening is copied and expanded, and tiled to the wafer layout area to complete the layout of the entire wafer; uses a time-based linear programming method for all candidate wafer-level architectures, takes architecture performance as the optimization goal, performs task division and scheduling, traverses all candidate architectures, and selects one or more architectures with the best performance. While improving the optimization efficiency, the present invention increases the probability of searching for the global optimal solution.