47results about How to "Realize automatic evaluation" patented technology

An intelligent transformer substation automatic testing system based on an SCD comprises a testing system and tested IEDs. The testing system and the tested IEDs are connected through a transformer substation network. The testing system generates a test case by analyzing an SCD file, a testing process is started through a human-machine interface, a simulation test excitation quantity is generated according to the test case, the excitation quantity is applied to the tested IEDs through a transformer substation local area network, the response of the tested IEDs to testing excitation is read, and finally a testing result evaluation report is automatically generated. The intelligent transformer substation automatic testing system based on the SCD can achieve the automatic evaluation of the testing result of each tested IED and achieve the complete management on the testing files of the tested IEDs, ensures the safe operation of a power grid, and improves the reliability of the power supply of a power system.

The embodiment of the invention provides a method and device for data evaluation based on voice, belonging to the data processing technology field. The method comprises: performing voiceprint recognition of voice content according to the voiceprint information of the voice content, and performing distinguishing of the voice content according to the result of voiceprint recognition; performing emotion recognition of the voice content obtained after distinguishing, and generating an emotion recognition result; generating voice text according to the voice content obtained after distinguishing, performing emotion analysis of the voice text, and generating an emotion analysis result; and according to the emotion recognition result and the emotion analysis result, performing evaluation of the voice content prior to distinguishing, and generating an evaluation result. According to the embodiment, the data evaluation human cost is reduced, the evaluation data is not easy to lose, and the evaluation result is more objective and comprehensive.

The invention relates to a system and a method for testing a relay protection system in a closed loop non-invasively in the technical field of intelligent substations. The system comprises a test control module, a data analysis module, a network communication module and a data storage module. Non-invasive testing is completed under the precondition that no connecting wire of the protection system is changed through a merging unit, a protective device, an MMS (Multimedia Messaging Service) communication port and an SV communication port; meanwhile, automatic evaluation for test results and complete management for comparison files of the test results of the relay protection system to be tested can be realized, so that the testing efficiency of the relay protection system for an intelligent substation is effectively improved, the probability of equipment inactivation once due to the inspection of the protective device is reduced, and the security of the power system is improved.

An automatic positioning method of network key resource pages belongs to the Internet information handling sector. The invention is characterized in that: the invention firstly screens out inquiry theme words with timeliness and typicality from a number of search engine user inquiry click information records, extracts the corresponding user click result page and 'user click rate' on the result page, and obtains the inquiry theme collection, key resource page candidate collection, and 'user click distribution'; and then, the invention integrates the 'user click distribution' obtained from user inquiry click information records of different search engines, and obtains the integrated 'user click distribution' through 'inquiry liability' information; at last, the invention judges the pages in the key resource page candidate collection according to the integrated 'user click distribution' so as to obtain the subject-related key resource page. The method has the advantages of being automatic, accurate and objective, and being quickly positioned with computers.

The invention discloses a method for evaluating the service of a customer service staff member. The method comprises the following steps: obtaining voice data of conversation between the customer service staff member and a customer; performing voice segmentation on the voice data, so as to obtain a customer service staff member voice fragment corresponding to the customer service staff member; extracting customer service staff member voice characteristic data in the customer service staff member voice fragment, matching the customer service staff member voice characteristic data with object voice characteristic data in a design database, and determining object voice characteristic data with the maximal matching degree with the customer service staff member voice characteristic data; determining design rating corresponding to the object voice characteristic data with the maximal matching degree with the customer service staff member voice characteristic data as the evaluation of the service of the customer service staff member. The method can automatic evaluate the service of the service of the customer service staff member according to the voice data of the conversation between thecustomer service staff member and the customer, objectively and truly reflect the evaluation to the customer service staff member, and provides a true and effective basis for evaluating the service quality of the customer service staff member. Correspondingly, the invention discloses a device and equipment for evaluating the service of the customer service staff member and a computer readable storage medium, and has the same technical effect.

The invention discloses an automatic evaluation system of diagnosis and treatment correctness on the basis of a virtual case. The automatic evaluation system comprises a server, a management terminal, an evaluation terminal and a test terminal, wherein the management terminal, the evaluation terminal and the test terminal are independently in circuit connection with the server; the management terminal uploads virtual case information to the server and sets and stores an evaluation rule in the server; the test terminal diagnoses the virtual case in the server, and stores a diagnosis process and a diagnosis result in the server; and the evaluation terminal carries out automatic evaluation on the diagnosis process and the diagnosis result of the test terminal and outputs an evaluation result according to grading rule setting information set by the management terminal. The automatic evaluation system can objectively realize the automatic evaluation of the diagnosis and treatment correctness, reduces artificial-grading workload and realizes the quantitative evaluation of the diagnosis and treatment ability of clinicians.

The invention discloses an automatic analysis system and method for subjective image quality evaluation. The automatic analysis system comprises an image grouping module, an image description module,a problem region segmentation module, an image quality evaluation module, and an evaluation report generation module. The image grouping module is used for carrying out group division on inputted original images based on scenes to obtain different image groups. The image description module is used for carrying out image description on image groups obtained by the image grouping module respectively. The problem region segmentation module divides the image into different problem regions according to the image description obtained by the image description module. The image quality evaluation module carries out image quality analysis based on the statistic features and contents of the problem regions and provides various problem analysis results for different problems. The evaluation report generation module generates an evaluation report including analysis results of all scenes and analysis results of all problems.

The invention relates to the technical field of voice processing, and particularly relates to a voice evaluation method and device, and the method comprises the steps: obtaining to-be-evaluated voice;recognizing each phoneme of the to-be-evaluated voice by taking the to-be-evaluated voice as an input parameter based on a trained evaluation model, determining phoneme voice feature similarity between each phoneme and a corresponding preset standard phoneme; according to the to-be-evaluated voice and the corresponding preset standard voice, determining fluent speech feature similarity corresponding to the speech to be evaluated, the phoneme representing a phoneme corresponding to a minimum speech pronunciation unit; and determining an evaluation result of the to-be-evaluated voice accordingto the voice sub-voice feature similarity and the smooth voice feature similarity. Thus, the evaluation result of the to-be-evaluated voice is determined by combining the voice sub-voice feature similarity and the smooth voice feature similarity of the to-be-evaluated voice, and the voice evaluation efficiency and accuracy are improved.

The invention discloses a bioreactor cell culture quality evaluation method, and relates to the technical field of bioreactors. The bioreactor cell culture quality evaluation method comprises image enhancement, image segmentation, smoothing processing, connected region extraction, standard cell area judgment and cell distribution statistics, and completes automatic evaluation of the cell culture quality through statistics of the number of cells. According to the bioreactor cell culture quality evaluation method, the growth state of the cultured cells can be automatically evaluated, and a reliable guarantee means is provided for promoting the application of a large-scale cell culture technology in a cell factory.

The invention provides a code quality evaluation method and device and electronic equipment. The method is applied to the technical field of data processing, and comprises: obtaining evaluation information of at least one dimension of a to-be-evaluated code automatically generated by a code detection system, and then determining evaluation result information of the to-be-evaluated code based on apredetermined first weight value corresponding to each dimension and the evaluation information of each dimension. Namely, the evaluation information of each dimension of the to-be-evaluated code is automatically determined, and then evaluation result information of the to-be-evaluated code is automatically determined according to the evaluation information of each dimension, so the automatic evaluation of the quality of the to-be-evaluated code is realized, and the efficiency of the quality evaluation of the to-be-evaluated code is improved; and in addition, the evaluation result informationof the to-be-evaluated code is automatically determined, so that the labor cost of the quality evaluation of the to-be-evaluated code is reduced, the subjective influence factors of manual evaluationare reduced, and the accuracy of the code quality evaluation is improved.

The invention discloses a remote video teaching quality evaluation method and system based on machine vision. The method comprises the following steps of obtaining a face image, a learning state imageand a classroom scene image of each student; matching the periodically acquired face images with a preset face sample library after 3D transformation to obtain student identity information; transmitting the periodically acquired student learning state images to a pre-trained deep neural network model to obtain the learning behavior of each student; and performing real-time image processing on theclassroom scene image to obtain personnel exception aggregation information. After learning is finished, statistics and analysis are carried out on student identity information and learning behaviors, attendance and learning quality scores and comments of the students are obtained according to attendance and learning quality evaluation rules, and automatic student attendance of remote teaching isachieved; based on the remote teaching monitoring method, automatic attendance checking, automatic learning quality evaluation and teaching order maintenance of students in remote teaching are completed.

The invention provides a lyric evaluation method and device, a storage medium and a computer device. The method comprises: carrying out the matching calculation of the category of a target lyric and the topic classification of the target lyric in a system, and obtaining the classification score of the target lyric; performing similarity calculation according to the lyric singing speed of the target lyric and the rhythm of the corresponding audio file, and obtaining a melody score of the target lyric according to a calculation result; obtaining lyric pinyin corresponding to the target lyric, obtaining pinyin of sentence end words of each sentence of lyric of the target lyric according to the format of the target lyric and the lyric pinyin, and obtaining escort scores of the target lyric according to the pinyin of the sentence end words; obtaining a logic relation between lyric statements of the target lyric according to the format of the target lyric, and obtaining a logic score betweenthe lyric statements; and calculating an evaluation score of the target lyric according to the classification score, the melody score, the escort score and the logic score of the target lyric. According to the method, lyrics can be automatically evaluated according to multiple aspects.

The invention discloses a Wikipedia entry quality evaluation method. The Wikipedia entry quality evaluation method comprises the steps that 1, one category is selected from the Wikipedia, reading all direct subordinate pages of the category, analyzing interrelation coefficients of the linkage relation network of entries corresponding to the direct subordinate pages, screening a significative category according to the interrelation coefficients and using the category as a field; 2, adopting an iterative mode to calculate quality values of the entries in the field and creditworthiness values of editors in the field. By means of the Wikipedia entry quality evaluation method, the category with entries having high association degree can be screened and regarded as a significative category to serve as a field, the entry quality evaluation efficiency is improved, the quality values of the entries in the field and the creditworthiness values of editors are efficiently evaluated in a data quantization mode, the problem of Wikipedia knowledge quality evaluation is solved, and an evaluation result is more accurate and visual.

The invention discloses an automatic evaluation method of diagnosis and treatment correctness on the basis of a virtual case. A management terminal uploads virtual case information to the server and sets and stores an evaluation rule in the server; a test terminal diagnoses the virtual case in the server, stores a diagnosis process and a diagnosis result in the server; and an evaluation terminal carries out automatic evaluation on the diagnosis process and the diagnosis result of the test terminal and outputs an evaluation result according to grading rule setting information set by the management terminal. The automatic evaluation method can objectively realize the automatic evaluation of the diagnosis and treatment correctness, reduces artificial-grading workload and realizes the quantitative evaluation of the diagnosis and treatment ability of clinicians.

The invention provides an evaluation method of application of a fire coal additive in a power station boiler, and the method comprises the steps: building a test environment, and carrying out the statistics of the operation data of the power station boiler within N days before a test; carrying out a test for M days, and recording test data in the test; making experimental effect evaluation. According to the invention, through a scientific test method, a test process and a test result are ensured to be real, accurate and reliable, and a scientific method for measuring and calculating the test power generation coal consumption in all directions and multiple ways of a thermal power generating unit is explored.

The invention provides a code management method, apparatus and device. The method comprises the steps of obtaining an initial baseline code; determining the code quality of the initial baseline code according to the code characteristics of the initial baseline code; if the code quality meets the quality requirement, an initial baseline code is optimized, an optimized target baseline code is obtained, and the performance of the target baseline code is superior to that of the initial baseline code; converting the target baseline code into a to-be-deployed code matched with a target platform; anddeploying the to-be-deployed code to the target platform. According to the technical scheme, the development efficiency can be effectively improved, and the user experience is improved.

The invention provides a recognition algorithm evaluation method and system based on infrared image big data. The method and system are used for solving the problem that in the prior art, an infraredimage recognition algorithm evaluation method is not high in applicability. The recognition algorithm evaluation method based on infrared image big data comprises the following steps: S1, establishingan infrared image test database; s2, calling a to-be-evaluated identification algorithm, selecting a to-be-tested image sequence from the infrared image test database according to the algorithm, andspecifying an identification target; s3, marking each frame of image of each sequence in the selected to-be-tested image sequence; s4, performing target identification on the selected to-be-tested image sequence by adopting the called identification algorithm; and S5, comparing the identification result in the step S4 with the marking result in the step S3, evaluating the identification algorithm,and outputting a result. According to the invention, a unified performance evaluation platform is provided for an identification algorithm in far and near scenes, automatic evaluation is achieved, and the evaluation efficiency and precision are improved.

The invention relates to a multivariable closed-loop control loop performance evaluation method based on Gaussian process regression. The multivariable closed-loop control loop performance evaluationmethod comprises the following steps: S1, selecting multivariable closed-loop output data to be evaluated; S2, standardizing the data; S3, performing evaluation fragment division on the standardized data matrix in the step S2; and S4, performing autoregression modeling on the evaluation fragment data matrix X, constructing training input, training output and test input of the model, and determining model parameters by using a least square method. The beneficial effects of the invention are that process priori knowledge is not needed, the idea of data driving is utilized, performance related information contained in the process data can be mined on line; performance evaluation is performed on the multivariable closed-loop control system; comprehensive loop evaluation results and operation suggestions are given according to the change trend of the performance indexes, so that a field engineer can quickly eliminate loop faults by directly operating and maintaining the performance degradation loop through the evaluation results, automatic evaluation of a closed-loop system is realized, and safe and efficient operation of the process is guaranteed.

The invention provides a code quality evaluation method and system. The method is applied to the technical field of information processing. The method comprises: determining evaluation result information of a to-be-evaluated code through a quality evaluation module of the quality evaluation system based on vulnerability detection information obtained according to a red line scanning module, repetition rate detection information obtained according to a repetition rate detection module and complexity detection information obtained according to a complexity detection module. According to vulnerability detection information, repetition rate detection information and complexity detection information of a to-be-evaluated code, evaluation result information of the to-be-evaluated code is automatically determined, so the automatic evaluation of the quality of the to-be-evaluated code is realized, and the efficiency of the quality evaluation of the to-be-evaluated code is improved. In addition,the evaluation result information of the to-be-evaluated code is automatically determined, so that the labor cost of the quality evaluation of the to-be-evaluated code is reduced, the subjective influence factors of manual evaluation are reduced, and the accuracy of the code quality evaluation is improved.

The invention provides a natural gas component detection equipment performance evaluation method and device. The method comprises the following steps: fitting an evaluation response function taking component concentration as an independent variable and an equipment response value as a dependent variable based on a test result of standard gas introduced into equipment to be evaluated; determining an equipment response function of the to-be-evaluated equipment, wherein the equipment response function is a direct proportion function taking the component concentration as an independent variable and the equipment response value as a dependent variable; substituting the component concentration set value x into the evaluation response function to obtain an equipment response value y, and substituting y into an inverse function of the equipment response function to obtain a component concentration measured value X; and performing performance evaluation on the to-be-evaluated equipment based on the error between x and X. According to the invention, automatic evaluation of the performance of the natural gas detection equipment is realized. Performance evaluation can be carried out by calculating the high-order volume calorific value of the natural gas. Scoring can be carried out based on the error, and quantitative evaluation of the performance of the natural gas detection equipment is achieved.

The invention discloses a software verification method and device, electronic equipment and a storage medium, and is used for solving the technical problems that automatic evaluation codes must be developed for software in different forms respectively in a traditional software UI automatic evaluation technology, and the maintenance workload of the automatic evaluation codes is large. The method comprises the following steps of: determining elements to be operated on a software UI (User Interface) of preset software; obtaining a screen sub-region containing the element on the software UI, and obtaining region information of the screen sub-region; acquiring screenshot data of the screen sub-regions according to the region information; converting the screenshot data into a grey-scale map; obtaining a target coordinate of the element on the grey-scale map; according to the target coordinates and the region information, obtaining actual coordinates of the elements on the software UI; executing a preset operation on the element according to the actual coordinate, and generating a UI display result; and verifying the UI display result by adopting an expected UI display result.

The invention discloses a multi-dimensional automatic evaluation system for animal experiment operation. The multi-dimensional automatic evaluation system comprises a video acquisition unit, a physiological signal acquisition unit, a preprocessing unit, a classifier and a data analysis control unit, the video acquisition unit is used for acquiring video data in an experimental operation process; the physiological signal acquisition unit is used for acquiring a physiological signal of an animal body in an experimental operation process; the preprocessing unit is used for preprocessing the physiological signal; the classifier is used for carrying out type distinguishing on the physiological signal and sending the physiological signal subjected to type distinguishing to the data analysis control unit; and the data analysis control unit is used for receiving the video data sent by the video acquisition unit and the physiological signals sent by the classifier, generating an experiment operation evaluation report according to the video data and generating an experiment result evaluation report according to the physiological signal. According to the invention, automatic evaluation of experiment operation and experiment results of an experimenter is realized, and the evaluation efficiency is improved.