17 results about "Function analysis" patented technology

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 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 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 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 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 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.