30 results about "Function analysis" patented technology

The invention provides a digitized design method for a helicopter transmission system driven based on design requirements, which comprises the following steps of: 1, constructing a design requirement model according to design task requirements and standards; 2, constructing a meta-model of each stage and a part parameter meta-model; 3, analyzing the functions of the parts, and forming a feasible transmission scheme; step 4, distributing a transmission ratio, estimating weight and efficiency, and screening an optimal transmission scheme; 5, acquiring a transmission unit and a transmission relation, and establishing a transmission chain model; 6, parameterization design is carried out on the part, and a result is packaged in a part meta-model; 7, strength checking and performance simulation are carried out, and design result verification is carried out; 8, constructing a transmission system assembly physical model; and step 9, constructing a comprehensive database, and establishing a data version transmission and tracing mechanism. The problems that a traditional design method is poor in interactivity and difficult in model consistency maintenance and data tracing are solved, and the digitized full-process design and full-period management capacity of the transmission system is improved.

The invention provides a method for solving the abnormal condition of a network function NF. The method is performed by a network entity and comprises: receiving NF anomalous behavior / function analysis data from an operation, management and maintenance OAM; and performing an action based on the received NF abnormal behavior / function analysis data. This can improve the efficiency of handling NF abnormal behaviors / functions.

A lighting device control system includes an active function detecting device and a control device. The active function detecting device is connected to an external power source and a lighting device, and includes an active detecting signal generating module and a function detecting module. The active detecting signal generating module transmits a dimming signal and a color temperature signal to the lighting device. The active detecting module detects the input current of the lighting device and the color temperature of the light emitted by the lighting device so as to generate a dimming function detecting result and a color temperature adjusting function detecting result. The control device generates a function analysis result according to the dimming function detecting result and the color temperature adjusting function detecting result, and display a control page corresponding to the function analysis result according to the function analysis result.

The application relates to a land space multi-level function data analysis processing method and device, and belongs to the technical field of land space distribution data processing. The application solves the problem of inconsistent function positioning of different types of land space in the existing land space function analysis method and the problem of insufficient accuracy of analysis result data. The land space multi-level function data analysis processing method and device of the application update the function recognition unit of a plot according to a use-function conversion matrix; quantize the spatial distribution density of each type of POI of the plot according to the kernel density of POI data; calculate the distribution frequency of different POI types in the function recognition unit in each function category; combine the kernel density analysis result and the frequency density analysis result to perform weighted calculation and standardization processing on the spatial function value of each function recognition unit; and determine the data analysis result of each function recognition unit in each function level framework. The application improves the accuracy of the analysis result data by analyzing and processing the layered land space.

The invention relates to the technical field of machine learning, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a reward function optimization method, device, equipment and medium based on a visual language. Obtaining a state description text; performing preference label generation on the state description text to obtain a state text preference label; performing reward assignment on the sampling image according to the state text preference label to obtain an image reward value, and performing reward value analysis on the sampling image through a preset reward function to be optimized to obtain a function analysis reward value; and constructing a preference probability loss function, and performing difference analysis on the image reward value and the function analysis reward value according to the preference probability loss function to obtain a difference value. Through state description text and preference label generation, scene exclusive recessive rules are accurately anchored, and deviation from an actual application target is avoided.

The invention discloses a method and a system for integrally packaging an App into Framework, belongs to the technical field of mobile application development, and aims to solve the technical problems of poor code reusability, high integration complexity, difficulty in updating and maintenance, and lack of flexibility, customization and compatibility in existing mobile application development. Comprising the following steps: performing function analysis on a code of a target App, and establishing a dependency relationship table between function modules; creating a corresponding Framework item based on the target operating system; the codes, the resource files and the dependency table of all the function modules are migrated to the Framework project; a Framework project is configured; the method comprises the following steps: compiling a Framework project in a development environment; the generated Framework is integrated into a new project, and the App function is used by calling an interface provided by the Framework in the new project.

In accordance with an embodiment, a sensing device for sensing an environmental parameter includes a measurement module configured for providing a sequence of measurement values in dependence on the environmental parameter; a communication module configured for communicating with a further sensing device; and a function analysis module coupled to the measurement module and the communication module. The function analysis module configured for using a neural network for determining a first temporal feature on the basis of the sequence of measurement values, and determining, on the basis of the first temporal feature and on the basis of a second temporal feature provided by the further sensing device, information about a functional state of the measurement module.

The application relates to system fault evolution process analysis in the safety field, and provides a system fault evolution sub-evolution process function analysis method, which is used for studying each sub-evolution process with different characteristics in a system fault evolution process, determining the function of each sub-evolution process on the total evolution process, and providing a sub-evolution process function analysis method based on spectral regression discriminant analysis; a basic data matrix and a normalized data matrix are constructed based on an object set measured and evolved at each moment; an object label set is generated by using uniformly distributed random numbers and is folded to form an object label matrix; the object label matrix is trained and predicted by using the spectral regression discriminant analysis method to obtain maximum accuracy, an optimal object label set and an optimal training object number; the function analysis of each sub-evolution process is realized by defining frequency and concentration; and the method is used for determining the function of each sub-evolution process in a system fault evolution process and clustering analysis of an object set.

The utility model discloses an image processing system, relates to the technical field of image processing, and determines an analysis item needing to be carried out at present by detecting an analysis instruction transmitted externally at present through a selection module. After the corresponding analysis item is judged, corresponding analysis item selection information is sent to the specification parameter acquisition module and the image processing module, and the specification parameter acquisition module selects a corresponding data acquisition end according to the analysis item selection information to acquire specification parameter information of the corresponding analysis item and sends the specification parameter information to the image processing module. And the image processing module normally receives the image information transmitted externally, selects an analysis item of the to-be-processed image corresponding to the required image information through the analysis item selection information, and sets a reference specification of the analysis item through the specification parameter information, thereby generating an analysis result corresponding to the analysis item. The method does not need to be carried out in a specific analysis device, can achieve the offline function analysis of the visual module, can rapidly evaluate the capability of the visual module, and improves the research and development efficiency of a product.

The present application relates to a kind of ship shore end control system risk assessment method based on interval two fuzzy numbers, comprising the following steps: by the function analysis of system, obtain the relevant data including multiple sub-modules / components, assess the failure probability and loss severity of each sub-module / component, wherein the failure probability and loss severity are interval two fuzzy numbers;According to the failure probability and loss severity of each sub-module / component, the fuzzy risk of system or component is estimated using the improved arithmetic operation rule of interval two fuzzy numbers, wherein interval two fuzzy numbers are composed of elements and high, and the arithmetic operation rule of improved interval two fuzzy numbers is obtained by the arithmetic operation rule of the high of unified interval two fuzzy numbers;The deviation degree and similarity of the results under different operation rules are compared and analyzed to verify the results.

The application discloses a kind of based on computer vision OpenCV extraction building contour and planar functional feature method, including original image is preprocessed and edge detection, obtain initial edge image, carry out binary and contour search, multiple candidate contours are geometrically approximated and screening processing, according to screening result determine the final building outer contour;Input functional image containing building internal functional partition, and carry out color space conversion and threshold segmentation, binary mask is morphologically processed and contour search, determine the contour of each functional area, according to preset rule, functional area is labeled;The extracted functional area is clustered and analyzed, and the analysis result containing functional contour, area statistics and appearance probability is output.The application can shorten the time of single building contour extraction and single household planar function analysis from day level, hour level to second level to minute level, improve the efficiency of building design, effectively overcome the defects of low efficiency and long cycle of manual operation.

The invention relates to the technical field of city planning, in particular to a city key area commercial space evolution evaluation system based on multi-dimensional space analysis. The system comprises data collection and preprocessing, commercial space gathering feature analysis, commercial state configuration analysis, evolution feature recognition and evaluation and commercial space evolution evaluation model construction. Wherein the evolution feature identification and evaluation specifically comprises the steps of comparing analysis results in different time periods, identifying an evolution path of a commercial space in a city key area, and classifying according to station area attributes. The urban key area commercial space evolution evaluation system is constructed through fusion of multi-dimensional space analysis methods such as kernel density analysis, Ripley's K function analysis, standard deviation ellipse analysis and commercial index analysis, and systematic and quantitative evaluation of urban key area commercial space aggregation intensity, distribution modes, commercial state configuration and evolution paths is realized.

The invention provides a project review method and system based on a large model. According to the method, firstly, scheme key points of a current project construction scheme are extracted by using a target large model, and a data foundation is built for subsequent decision making; policy documents and historical scheme key points associated with the current project construction scheme in a preset knowledge base are further obtained and analyzed, so that a policy basis can be provided for project review, and the economic feasibility of the project review can be ensured; the current project construction scheme is further analyzed according to historical projects; key element review information of the current project construction scheme is further extracted and analyzed, and it can be ensured that key elements meet project requirements; and finally, taking the scheme key points, the analyzed historical budget reference information, the target policy file, the current scheme construction function analysis report and the target element review analysis as review bases. The process does not depend on a manual review method, and intelligence of the project review method can be realized, so that the efficiency of project review work can be improved.

The invention discloses a G-function-based evaluation method for a middle-deep layer coal bed gas fracturing fracture transformation effect, and the method comprises the following steps: S1, carrying out the geological fracture prediction before fracturing construction operation; s2, fracturing construction operation is completed, a fracturing construction curve is obtained after fracturing construction operation is completed, and the type of the fracturing construction curve is determined according to the form of the fracturing construction curve; s3, the obtained fracturing construction data are processed; s4, after fracturing construction, G function analysis is carried out; and S5, evaluating the transformation effect of the middle-deep layer coal bed gas fracturing crack. The method for evaluating the transformation effect of the medium-deep layer coal bed gas fracturing crack based on the G function has the following beneficial effects that 1, the specific geological characteristics of the medium-deep layer coal bed are considered; and 2, economy, accuracy and timeliness are considered.

The application relates to the development of a synergistic technical field, and relates to a micro-frontend supply chain platform synergy method and system based on multi-team development, which comprises the following steps: performing function analysis on a to-be-developed supply chain scheme to obtain a platform function set, performing function feature matching and development specification on multiple teams according to the platform function set to obtain specification development information; performing multi-team module development and specification review on the platform function set according to the specification development information to obtain a specification code set; performing isolated deployment and micro-application integration on the specification code set to obtain a supply chain front end; obtaining user behavior logs by using the supply chain front end, performing behavior feature extraction and behavior analysis on the user behavior logs to obtain analyzed user behaviors; and performing dynamic synergistic loading on the supply chain front end according to the analyzed user behaviors. The application can improve the efficiency of micro-frontend development synergy.

The application relates to a vehicle function development method and device, electronic equipment and a storage medium. The method comprises the following steps: in the case that function requirement information for vehicle design is received, a technical specification prompt word template of a function component corresponding to the function requirement information is acquired; the function requirement information and the technical specification prompt word template are input into a pre-trained function analysis model to obtain vehicle atomic functions and vehicle scene functions contained in the function requirement information; the vehicle atomic functions and the vehicle scene functions are respectively stored in corresponding databases, and an association relationship between the vehicle atomic functions and the vehicle scene functions in the databases is constructed to develop vehicle functions corresponding to the function requirement information based on the association relationship. Therefore, the efficiency and accuracy of vehicle function development can be greatly improved, and the requirement communication cost and development iteration period are reduced.

The embodiment of the application provides a code generation method and device, electronic equipment, storage medium and product, relates to the technical field of software development, and the method comprises the following steps: obtaining to-be-utilized information and a requirement description text describing a to-be-updated function of a specified project; the to-be-utilized information comprises project information comprising a project type of the specified project and a component library identifier referenced by the specified project, and attribute information of a generated component in the specified project; the project information is obtained by analyzing the structure of the specified project by using the latest project file of the specified project and a large language model; the attribute information is obtained by performing component function analysis by using the component code file of the generated component in the project file and the large language model; and the large language model is used to generate code of the to-be-updated function matched with the project type and meeting the requirement description text in combination with the attribute information and a component library represented by the component library identifier. The code generation cost can be reduced, and the code generation efficiency can be improved.

The invention relates to a function point analysis method. The method comprises the following steps: a preprocessing step: obtaining a to-be-analyzed text which needs to be subjected to function point analysis and carrying out text preprocessing to obtain keywords; a confidence coefficient calculation step: matching the keywords based on a rule engine to calculate the confidence coefficient of at least one function point of the to-be-analyzed text, directly outputting the confidence coefficient as a classification result of function point analysis when the calculated confidence coefficient meets a first preset condition, and otherwise, continuing the following prompt word generation step; a cue word generation step: generating a structured cue word associated with the preprocessed text based on the clustering analysis of the preprocessed text; and a reasoning step: inputting the structured cue word and the pre-processed text into a pre-trained large language model for reasoning, and outputting a classification result of function point analysis and a reasoning reason. According to the invention, a function analysis method with high efficiency, accuracy and interpretability can be provided at the same time.

The invention provides an XSS vulnerability detection method and system based on a high-order function abstract and taint analysis, and belongs to Web security detection and program analysis. The method comprises the steps that a to-be-detected application program is received and preprocessed, a function call graph and a control flow graph of the to-be-detected application program are generated, and a function analysis sequence is determined according to inverse topological sorting; and according to the determined function analysis sequence, performing intra-process analysis on each function, traversing a current function control flow diagram, analyzing a taint propagation condition, recording a taint propagation flow, and storing the intra-process analysis of the function in a form of an abstract of a high-order function by utilizing the characteristic that the function in the high-order function is used as a return value. Effective packaging of function stain propagation behaviors and context-sensitive instantiation are achieved through the high-order function abstract, the analysis efficiency and analysis precision of XSS vulnerability detection are remarkably improved, and the problems of missing report and false report can be effectively solved.

The invention belongs to the technical field of image data processing, and particularly relates to a function image dynamic drawing device for mathematical analysis, which comprises an intelligent function analysis module used for receiving a symbolized expression, natural language description or function type selection information input by a user; obtaining a legal and structured first function expression; the function model hierarchy unit is connected with the intelligent function analysis module; the parameter configuration module is used for matching to obtain a corresponding parameter range and a step length recommendation value; the dynamic calculation module is used for receiving the output data and the parameter real-time adjustment value of the function model hierarchy unit to obtain first data meeting the scene precision requirement; and the scenarized adaptive rendering module receives the first data and the scene type identifier output by the dynamic calculation module, and adopts a layered rendering architecture to respectively render a first function image layer, a second data auxiliary image layer and a third function comparison image layer to obtain a dynamic image.

The application discloses a kind of automatic generation methods of fault tree, which includes: step 1, according to the bill of materials (BOM) list and FMEA structure analysis of system to be analyzed, the physical connection relationship and logic relationship between components are established;Step 2, through FMEA function analysis, the first mapping relationship of component dynamic function and component of each component is established, and based on the different working conditions of each component, the first mapping relationship is divided, and the dynamic function flow of each component is generated;Step 3, according to dynamic function flow, construct fault transmission path, and generate fault tree based on fault transmission path.The technical scheme in the present application automatically generates fault tree according to FMEA analysis, and formalizes the fault tree using knowledge graph technology, thereby providing decision basis for fault maintenance of complex systems.

The invention relates to a vehicle function development method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a technical specification cue word template of a function component corresponding to function demand information under the condition that the function demand information designed for a vehicle is received; inputting the function demand information and the technical specification cue word template into a pre-trained function analysis model to obtain a vehicle atomic function and a vehicle scene function contained in the function demand information; and storing the vehicle atomic functions and the vehicle scene functions in respective corresponding databases, and constructing an association relationship between the vehicle atomic functions and the vehicle scene functions in the databases, so as to develop the vehicle functions corresponding to the function demand information based on the association relationship. Therefore, the efficiency and accuracy of vehicle function development can be greatly improved, the demand communication cost is reduced, and the development iteration period is shortened.

1. The name of the design product: visual function test workbench. 2. The use of the design product: the design product is used for visual function analysis and auxiliary diagnosis. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application provides a lithology compensation-based sedimentary facies-controlled high-resolution inversion method and system, and the inversion method comprises the following steps: S1, acquiring a GR curve, preprocessing the GR curve, and converting the GR curve into a lithology compensation coefficient; S2, establishing a regional geological structure model under the control of a fine interpretation horizon and a fault structure framework, and establishing sedimentary microfacies model data of each sand group of a target layer on the basis of variation function analysis; S3, compensating wave impedance data by using the lithology coefficient to establish a three-dimensional initial wave impedance model, and obtaining a sedimentary facies-controlled wave impedance model through step S2; S4, performing well-controlled waveform slimming high-resolution processing; and S5, performing multiple sedimentary facies-controlled iterative inversion by using the sedimentary facies-controlled wave impedance model as a constraint condition. The method reduces the multi-solution property of inversion and has better operability, innovativeness and practicality.

The application provides a civil aircraft system function architecture generation method based on an IGTA clustering algorithm, establishes a mathematical model of civil aircraft system function architecture design complexity, randomly selects a function and calculates the adaptation degree with all function modules, updates the function module according to the adaptation degree, calculates the design complexity of the system function architecture, and generates a system function architecture scheme. The application effectively avoids the deviation caused by only relying on the design experience of engineering personnel in the case that numerous functions are related to each other in complex system design, and simultaneously improves the function analysis modeling efficiency of the same type of system in the model-driven forward design process.

The application provides a large-scale compressed air energy storage power station technical scheme selection method and device, which is used for technical scheme selection of a large-scale compressed air energy storage power station, creates a novel comprehensive evaluation system, so that performance quantification and horizontal comparison and selection can be well performed between different application scenarios and different selectable schemes, and then accurate quantitative data support can be provided for project function analysis, investment calculation and economic evaluation of the compressed air energy storage project, so that resource mismatch can be effectively avoided, the scientific nature of power station construction decision is ensured, and the application prospect is better.

The invention discloses an HWP expected function safety analysis method, system and device and a storage medium, belongs to the technical field of automatic driving, and solves the technical problem that the prior art lacks an HWP expected function safety analysis method which covers verification of known scenes and unknown scenes and supports continuous optimization of an HWP in an iteration process of development, test and actual operation. The method comprises the following steps: establishing a closed-loop process taking function modeling, hazard identification, function analysis, system optimization and verification confirmation as paths, combing function deviations in combination with risk level evaluation, identifying potential function risks of the HWP under different triggering conditions, and covering processing of known scenes and unknown scenes. The method is used for effectively evaluating risks caused by insufficient functions or misuse under the condition that the HWP is free of faults, and continuously optimizing the HWP in the actual operation process.

The invention provides a large model training process-oriented function call data set construction method, which comprises four steps of function analysis, call chain construction, semantic verification and repair, and output and feedback backflow, and finally generates a training data set containing a plurality of structured function call chain samples. The function analysis module receives a function document set, analyzes functions in the function document set into structured function metadata, and inputs the structured function metadata into the call chain construction module; the call chain construction module receives a task target set, the structured function metadata and a low-quality sample output by the output and feedback backflow module, obtains a function call chain draft and inputs the function call chain draft into the semantic verification and restoration module; and the semantic verification and restoration module inputs the verified legal call chain into the output and feedback backflow module. The problem that an existing data set focuses on single function generation and cannot cover a multi-stage and multi-dependence complete training process is solved.

The invention discloses an automatic building design scheme generation method and system based on artificial intelligence, and relates to the technical field of intelligent building management, the system comprises a control center, and the control center is connected with a front end acquisition module, a structure processing module, a function analysis module and a construction design module; collecting design preparation data and user demand information, and constructing a building associated space; performing category division on the design preparation data to obtain design feature categories, constructing a step constraint information set according to the design feature categories, and performing keyword screening on the user demand information to obtain user demand keywords; performing similarity screening on the step constraint information set according to user demand keywords and constructing a demand selectable database; performing scheme construction on the demand selectable database to obtain a primary design scheme, and performing user simulation pushing on the primary design scheme through the building associated space to obtain an optimal pushing scheme; the design efficiency is improved, the design quality is optimized, and personalized design is realized.