42 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 discloses an old people lower limb motion function analysis method and system based on the Internet of Things technology, and belongs to the technical field of data analysis, and the method comprises the steps: deploying a data collection device to collect original data, preprocessing the original data to obtain a first data set, dividing the motion into gait cycles through data calculation, step length, step frequency, support time, swing time and joint angle of each gait cycle are calculated and integrated into a second data set, time sequence dynamic features are extracted to obtain a dynamic feature vector, a gait quality score and a gait degradation trend are obtained through model calculation, gait anomaly detection is performed to obtain a gait anomaly recognition result and a gait risk score, and a gait anomaly recognition result is obtained. And constructing a health intervention suggestion generation model. According to the old people lower limb motion function analysis method and system based on the Internet of Things technology, multi-dimensional data from different sources are fused, and a gait analysis model is adjusted in real time by using an adaptive algorithm, so that accurate early warning and personalized analysis are realized.

The present invention relates to the technical field of platelet function analysis equipment, and specifically relates to a platelet function analysis equipment, mainly including a machine body. A support plate is fixedly installed on the top surface of the machine body, and a fixing plate is fixedly installed on the top surface of the support plate. A cover body is rotatably connected to the top surface of the fixing plate. A reagent tube is arranged below the cover body. An adjusting mechanism is arranged above the support plate. A fixing mechanism is arranged inside the fixing plate. A pressing mechanism is arranged above the fixing box. By pushing the moving plate with a buckle, the moving plate squeezes the airbag. The airbag contracts under the extrusion, and the gas inside is transported to the fixing box through the connecting pipe, pushing the piston plate to move. When the piston plate moves, it drives the support rod and the clamping plate to move, and the clamping plate clamps and fixes the reagent tube. When vibration or external force acts during the detection process, the reagent tube is not likely to shake or loosen, improving the stability of the reagent tube and the accuracy of the detection result, and thus ensuring the reliability of the overall analysis.

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 present invention belongs to the technical field of integrated circuits, and particularly relates to a function analysis method and system for logic encryption circuits. The method includes: obtaining the activated encryption circuits and the target encryption circuit on the market; generating a specified number of correct input-output sets according to the activated encryption circuits; using an improved particle swarm algorithm to iteratively optimize the generated initial key; determining whether the accuracy of the global optimal key reaches a preset value. If not, return to the initial stage of the algorithm. If so, output the final key; perform accuracy verification on the final key, randomly generate a specified number of input-output sets again using the activated encryption circuits, calculate the actual accuracy of the final key, and evaluate the security of the encryption circuit based on this accuracy. The present invention can perform function analysis on the target encryption circuit without caring about the specific encryption method of the encryption circuit, and the obtained key has high accuracy, and the analysis method has universality.

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 present invention provides a support system indicator analysis method based on Harmony SE, which includes: conducting indicator analysis of the support system, determining standardized system indicators, and establishing a first traceability relationship and a second traceability relationship; conducting functional analysis of the support system, determining black-box activity diagrams and black-box sequence diagrams, and establishing a third traceability relationship; conducting architectural analysis of the support system, determining evaluation criteria for the support system, and obtaining an optimal solution for the support system; conducting architectural design of the support system, determining white-box activity diagrams and white-box sequence diagrams, establishing a fourth traceability relationship, and generating subsystem design requirements for the support system. By conducting indicator analysis, functional analysis, architectural analysis, and architectural design of the support system, the present invention supports the indicator-driven forward development of the support system, resolves many issues caused by designer experience, compensates for deficiencies in support system planning and design, and achieves optimization through design assurance.

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 invention discloses a structure analysis and function analysis method and device by combining a B graph and a P graph, a medium and a product, and relates to the field of failure mode design and consequence analysis. The method comprises the steps that a B graph module is used for analyzing a product structure, an external object is determined, and a product structure tree is obtained; performing function analysis on the product structure tree, and triggering a P graph module; calling a product structure tree generated by the B graph module to determine the input of the P graph module; calling the expected output of the product characteristic library or the newly added P graph module; calling noise factors of a noise factor library, a part factor library, an external object of a B graph module, an interface factor library or a newly added P graph module; calling an unexpected output of the failure library or a new P graph module; calling control factors of a measure library or a newly added P graph module; and after the calling is completed, synchronizing the generated P graph to the product structure tree. Structural analysis and functional analysis can be carried out by combining the B graph and the P graph, and the efficiency of failure analysis is improved.

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.

This invention provides a testing method, system, and medium for intelligent function interval analysis. The method comprises the following steps: Step S1: Obtaining and storing function identification information through static function analysis; Step S2: Obtaining code line coverage interval information through interface training, and combining this with the function identification information to obtain the interface-function identification correlation; Step S3: Recommending a list of impacted interfaces based on the function change interval, interface coverage interval, and function correlation. This invention primarily addresses the current problem of testing unable to determine test scope, resulting in a large amount of redundant testing. During precision testing, the invention automatically establishes an interface-function identification correlation library. Through effective change interval analysis, it can automatically analyze the minimum impact range at the code line interval level and automatically perform interface convergence based on the function interval correlation.

Embodiments of the present invention provide a device failure analysis method, apparatus, and storage medium based on a mechanism for coupling device functions with hardware performance. The method includes: performing structural and functional analysis on a target device to obtain a characteristic description, and determining the target device's coupling relationship units based on the characteristic description; establishing a FRAM model based on the upstream and downstream relationships of the coupling relationship units to determine the coupling relationship between the target device's functions and hardware performance; determining the unit variability of the coupling relationship units from two dimensions: hardware performance degradation and functional output accuracy, using the analytic hierarchy process; determining the coupling loss degree of the coupling relationship units based on the unit variability, structural entropy, and frequency entropy; and assessing the target device's failure risk based on the coupling loss degree. This method effectively assesses the failure risk of the device.

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 an electronic and electric appliance function analysis method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the first information data of a to-be-analyzed function module, and enabling the first information data to indicate the user information related to the to-be-analyzed function module; obtaining a document subset corresponding to each theme according to the first information data; according to the document subset, determining a target keyword of the first information data under each theme; according to the target keyword and a reference keyword under the theme, a first matching degree under each theme is obtained, the reference keyword under the theme is obtained according to second information data of a historical function module, and the second information data indicates user information related to the historical function module; and determining the information correlation of the to-be-analyzed function module according to the first matching degree. By adopting the method, the problem of low function analysis efficiency in the prior art can be improved.

The present invention relates to the field of hydropower station data management, and its purpose is to provide a method and system for intelligent analysis of oil pressure device operating data based on PLC, so as to address the shortcomings of manual analysis of oil pressure device operating data. The implementation method is as follows: the production and operation process of the oil pressure device is divided into a pump start state, a pump operation state, and a pump stop state, and the characteristics of each state are analyzed and evaluated separately to form a functional analysis of the entire production and operation process of the oil pressure device. The equipment operating data involved in each process is then analyzed in terms of action value, change rate, operating cycle, etc., to form a comprehensive component status analysis of the oil pressure device. Thus, a full-process and comprehensive analysis and evaluation system is formed at the system level and component level.

The invention relates to the technical field of gas detection, in particular to an anti-electromagnetic interference system, method and equipment for a gas detector, and the system comprises an anti-interference module, a data acquisition module, an enabling starting module, an automatic opening and closing verification module and a function analysis module; the enabling starting module analyzes the stability of the collected data of the gas detector and the environmental data of the environment where the gas detector is located, and responds to a preset stability state to enable the self-opening and closing verification module to work; the self-opening and closing verification module responds to a working instruction of the enabling starting module and selects and executes a self-checking action; the function analysis module is used for analyzing detection data of the gas detector in the self-checking action period to determine whether the anti-interference module has a fault or not; the self-checking action is triggered through double criteria of the stability state and the calorific value, closed-loop verification of the anti-interference module is realized on the premise of ensuring the detection continuity, and the detection interruption risk caused by invalid self-checking is further avoided.

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 invention provides a Python-based unit test regression automation system. The Python-based unit test regression automation system comprises a background driving module, a project management module, a function analysis module, a test execution module and a log management module, the background driving module is respectively connected with the log management module, the project management module, the function analysis module and the test execution module; according to the system, a VC + + written system framework and a TestBed test platform are integrated, and a Python language program module is utilized to perform regression automation on unit test of satellite-borne software codes written by an Ada language. By integrating a VC + + written system framework and a TestBed test platform and by means of a Python language program module, an automatic unit test regression system is realized; manual operation is greatly reduced, the testing process is accelerated, and therefore the testing efficiency is remarkably improved.

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.