28results about How to "Evaluation results are objective" patented technology

The invention provides a heat source tower heat pump applicability evaluation model construction and applicability evaluation method and system. The heat source tower heat pump applicability evaluation model construction method comprises the steps that historical state data of a heat source tower heat pump, all index values of the historical state data under a preset applicability evaluation index system and real applicability evaluation results corresponding to all the index values are obtained; taking each index value of the historical state data under the applicability evaluation index system as input data of training data; taking a real applicability evaluation result corresponding to each index value as output data of the training data; based on the input data and the output data, training a neural network model by using a particle swarm algorithm to obtain an applicability evaluation model; the constructed applicability evaluation model is based on the applicability evaluation index system, the subjectivity of manual judgment can be reduced, the neural network model is trained by adopting the particle swarm optimization, the fitting precision of the applicability evaluation model can be improved, and the accuracy of model prediction can be improved.

The invention discloses a computer software development information management method, which relates to the technical field of computer software development information management, and comprises the following steps of: collecting software development functions and feedback information used by a user by utilizing a data collection module; and sequentially calculating and outputting a user experience feedback score UP, a software function optimization degree RG and an iteration efficiency evaluation value DX, displaying the iteration efficiency of the ith function in software development by utilizing a visualization module based on a result of the iteration efficiency evaluation value DX, and performing corresponding management adjustment. According to the method, the user feedback processing efficiency can be remarkably improved, the function optimization degree can be accurately evaluated, the iteration efficiency can be scientifically evaluated, and an effective loop feedback mechanism is established, so that software development information management can better know user requirements, optimize software functions and improve the iteration efficiency, and software products and services with higher quality are provided for users.

The invention provides a dry bulk cargo port and wharf pollution prevention and control level quantitative evaluation method which aims at four key factors which influence the dry bulk cargo port and wharf pollution prevention and control level, such as port dust and waste gas prevention and control measure application, port water pollution and solid waste prevention and control, ship pollutant receiving, transferring and disposal and port operation noise prevention and control. And respectively constructing an evaluation index and a calculation method. According to the evaluation method, a quantitative calculation method is constructed by combining 12 indexes such as a dust concentration monitoring numerical value, production wastewater and domestic sewage treatment, a ship garbage transfer and disposal proportion and a factory boundary noise standard reaching rate, the actual level of the dry bulk port wharf in the aspect of pollution control can be scientifically and systematically evaluated, and a basis is provided for port environmental protection decision making. Meanwhile, the method can be used for contrastive analysis among different ports and piers, and has relatively high operability and practicability.

The invention relates to the technical field of DC high-voltage GIS insulation, and discloses a DC insulating gas state evaluation method and related equipment based on dark current measurement, and the method comprises the steps: obtaining insulating gas dark current signals under different gas pressures, different guide rod roughness and different electric field characteristics; processing the obtained insulating gas dark current signal to obtain an average dark current value corresponding to each electric field intensity; and evaluating the insulation margin of the insulating gas under different conditions on the average dark current value based on an SVM algorithm, and completing the state evaluation of the insulating gas. According to the invention, through real-time measurement and processing of the dark current signal, real-time monitoring and dynamic evaluation of the state of the insulating gas can be realized.

The invention discloses a comprehensive evaluation method for the utilization rate of power distribution network equipment. An order relation analysis method, an index correlation-based index weight determination method (CRITIC), an improved grey relational degree method and an ideal solution are combined. Firstly, subjective weights and objective weights of all indexes are calculated through an order relation analysis method and a CRITIC method, and the subjective weights and the objective weights are combined and weighted to obtain comprehensive weights. And then, comprehensively evaluating the utilization rate of the power distribution network equipment by adopting an improved grey comprehensive evaluation model in combination with an ideal solution method and a grey relational degree method. According to the invention, the comprehensive evaluation object can be evaluated more comprehensively; an improved grey comprehensive evaluation model is adopted, factors such as importance, correlation and interaction of all indexes are fully considered, and the advantages of a traditional grey evaluation model and an ideal solution are combined. Through the model, the quality degree of a comprehensive evaluation object can be obtained, and the balance of indexes is considered, so that the evaluation result is more accurate and objective.

The invention relates to a dangerous chemical enterprise safety system diagnosis grading evaluation system and a dangerous chemical enterprise safety system diagnosis grading evaluation method, and aims to comprehensively and accurately evaluate the safety management level of an enterprise through a multi-dimensional and personalized evaluation method and provide scientific and objective evaluation results and improvement suggestions. The system comprises a plurality of evaluation modules for responsibility allocation rationality, planning ability, system execution ability, supervision and inspection ability, continuous improvement ability and the like, and customized evaluation can be carried out according to enterprise scales and types. Meanwhile, advanced technologies such as big data and artificial intelligence are introduced into the system, rapid and accurate evaluation data processing and analysis are achieved, improvement suggestions are automatically generated, and accurate safety management guidance is provided for enterprises. Through application of the system, dangerous chemical enterprises can find and solve problems in safety management in time, safety production efficiency and quality are improved, safety and stability of the production process are ensured, and a powerful guarantee is provided for sustainable development of the industry.

This invention provides an automated evaluation system for vibration monitoring signals of aerospace products, comprising: a raw signal parsing module, a data preprocessing module, a signal parameter configuration module, a signal interpretation and evaluation module, and an evaluation conclusion output module. The raw signal parsing module parses unreadable raw data packets into a program-readable data format; the data preprocessing module eliminates signal start-time errors and performs filtering; the signal parameter configuration module configures parameters for single and related signals, forming a parameter configuration library; the signal interpretation and evaluation module evaluates the waveform similarity of single signals based on a cross-correlation normalization algorithm and interprets the time sequence relationship of related signals; the evaluation conclusion output module displays the evaluation results on a software interface. This invention achieves automated evaluation of vibration monitoring signals of aerospace products, replacing manual interpretation, improving evaluation efficiency and reliability, and possessing good versatility and scalability.

The application discloses an optimization method for a video transmission network CDR. The method comprises the following steps: acquiring an environment characteristic and a control parameter vector, wherein the control parameter vector is constructed based on a fuzzy controller of the video transmission network CDR; generating an initial value of a spore population based on the control parameter vector; iteratively optimizing the spore population by using an optimization method with an adaptive exploration and utilization strategy, so that the spore population is adapted to optimal video transmission quality under the environment characteristic; each spore of the spore population corresponds to a value of the control parameter vector; and after the iterative optimization is completed, the spore with the highest fitness in the spore population is taken as a value of a target control parameter vector and is issued to the fuzzy controller. The application can realize adaptive optimization of clock data recovery in a complex and dynamically changing video transmission environment, and improve the robustness of clock data recovery.

The application discloses a capital construction subcontractor project input evaluation method based on large model retrieval enhanced generation, which constructs a personnel portrait library, a team portrait library and a capital construction subcontractor portrait library based on manager dimension data, construction personnel dimension data and capital construction subcontractor dimension data, evaluates the portrait data in each portrait library of the large model and the expert scoring rule to evaluate the manager input score and the construction personnel input score of the capital construction subcontractor, and obtains a project input comprehensive score based on the manager input score and the construction personnel input score. By fusing the expert scoring rule and the reasoning ability of the large model, the consistency of the evaluation standard is ensured, the evaluation result is more objective and accurate, and the evaluation efficiency is also significantly improved. Moreover, the evaluation large model is obtained by fusing the expert scoring rule into the initial large model based on the retrieval enhanced generation technology, the retrieval enhanced generation technology can provide detailed scoring reasons for each score, so that the evaluation result is more persuasive.

The invention discloses an OWL-S-based Web service comprehensive score calculation method. The method comprises the following steps: using OWL-S semantics to describe Web services; selecting a multi-dimensional evaluation index; an evaluation model based on OWL-S is established; calculating a comprehensive score; optimizing the evaluation model by using machine learning; constructing a dynamic evaluation model; fusing domain knowledge; and a privacy protection mechanism is adopted. By combining the OWL-S semantic description language, multiple evaluation indexes, a machine learning algorithm, a dynamic evaluation mechanism and personalized recommendation, comprehensive evaluation and ranking of Web services are realized, the intelligent level of Web service evaluation is further improved, the evaluation accuracy, efficiency and user experience can be effectively improved, and the user experience is improved. And the requirements of Web service providers, users and platforms are met.

The invention discloses a comprehensive guarantee task personnel evaluation and distribution method, a storage medium and electronic equipment, and the method comprises the following steps: dividing task large classes according to the demands of a comprehensive guarantee task, further dividing each task large class into a plurality of sub-tasks, carrying out the collection of the execution condition historical accumulation data of each sub-task, and carrying out the calculation of the data; performing normalization preprocessing on the collected data, calculating and obtaining the average historical execution efficiency of a single person in each sub-task according to the processed historical accumulated data, constructing an efficiency evaluation model, inputting the average historical execution efficiency of the single person in each sub-task, and calculating the efficiency of the single person in each sub-task; and calculating the optimal personnel allocation and outputting the local optimal solution of the personnel allocation through a tabu search algorithm according to the sub-tasks, the corresponding duration of each sub-task and the demand quantity of each sub-task. According to the method, a multi-factor parameter evaluation system is constructed aiming at the characteristics of the comprehensive guarantee task, so that the evaluation result is more objective and accurate.

The invention belongs to the technical field of post-processing, and particularly provides a vehicle end DPF passive regeneration performance evaluation method, device and equipment and a storage medium. The method comprises the following steps that original emission data of operation of different vehicles is collected; screening the original emission data to obtain effective data; dividing the effective data into a plurality of sub-data according to the vehicle number; wherein the data of each vehicle number is recorded as subdata; dividing the sub-data into a plurality of sub-data fragments according to the active regeneration state of the vehicle; calculating the increasing rate of the carbon load in each sub-data fragment of each vehicle along with the running time of the engine; calculating a passive regeneration evaluation coefficient according to the increase rate of the carbon loading capacity; and evaluating the passive regeneration performance in the set state according to the passive regeneration evaluation coefficient. By calculating the increasing rate of the carbon load in each sub-data fragment of each vehicle along with the running time of the engine and calculating a passive regeneration evaluation coefficient according to the increasing rate, quantitative evaluation of the passive regeneration performance is realized.

The invention discloses a narrow space exploration method based on multi-criterion decision and adaptive ray casting, and relates to the technical field of ecological restoration. The flooding time distribution of the river beach under the ultra-frequency flood scene is calculated through a Weibull formula; secondly, extracting information such as beach vegetation types and coverage based on a multi-source remote sensing image, and dividing suitable plant partitions in combination with flooding time; a habitat quality evaluation system is constructed from the dimensions of vegetation conditions, hydrological conditions, topographic features and the like, and habitat quality rating of each subarea is completed; finally, according to flooding time characteristics, plant suitability and habitat quality grades, ecological restoration partitions are proposed in a targeted mode. According to the method, accurate coupling of the flood hydrological process and the beach ecosystem is achieved, the problem that a traditional ecological restoration measure lacks a hydrological-ecological cooperation basis is solved, the scientificity and feasibility of a restoration scheme are improved, and the method is suitable for ecological restoration engineering around water areas such as river beaches, lake wetlands and the like in northern arid and semi-arid areas.

The application discloses a kind of to beat leaf redrying finished product sheet tobacco comprehensive quality characterization method, comprising:1 collection the leaf redrying quality index of the nth processing batch,2 to leaf redrying quality index sequence is pretreated,3 using KMO test and Bartlett sphericity test respectively to the applicability of standardized data verification,4 calculate the correlation coefficient matrix of all processing batch leaf redrying quality index,5 calculate the eigenvalue and unit eigenvector of correlation coefficient matrix,6 calculate cumulative variance contribution rate, determine the number of principal components and calculate principal component score,7 calculate the nth processing batch to beat leaf redrying sheet tobacco finished product comprehensive quality score.The application can quantitatively, objectively, accurately characterize the comprehensive quality of beat leaf redrying finished product sheet tobacco, so as to solve the deficiency that traditional evaluation index is single and relatively rough.

The invention provides a 12Cr1MoVG thick-wall heat-resistant steel repair welding reheating crack tendency evaluation method, which comprises the following steps: step 1, carrying out a thermal simulation test of a repair welding coarse grain zone welding thermal cycle process on a sample to be tested, and obtaining a coarse grain zone sample of a heat affected zone; step 2, under a preset temperature condition, stretching the obtained coarse grain region sample at a set strain rate until the coarse grain region sample is snapped at a test temperature to obtain a coarse grain region sample section; 3, acquiring the shrinkage rate of the section of the sample in the coarse grain area, and evaluating the reheat crack sensitivity of the sample to be tested according to the shrinkage rate; by measuring the shrinkage rate of the section of the sample in the coarse grain area, the reheat crack sensitivity of the material can be quantified, so that the evaluation result is more objective and reliable.

The utility model relates to an asphalt - aggregate adhesion performance testing arrangement, including the pressure -resistant cavity inner layer of pressure -variable temperature treatment and the sample test block of setting in the pressure -resistant cavity inner layer, the output of pressure -resistant cavity inner layer bottom is equipped with the recovery assembly for filtering sample residue, the pressure -resistant cavity inner layer outside is provided with the weighing assembly for measuring the mass of sample test block before and after test. The utility model simple structure, reasonable in design, through the pressure -variable temperature treatment simulation underwater high -pressure environment and temperature change to the inner chamber of pressure -resistant cavity inner layer, then the weight difference of sample before and after test is determined, calculates the asphalt peeling amount, realizes the quantitative evaluation of asphalt - aggregate adhesion under underwater high -pressure environment and different temperature change in this way, solves the problem that traditional method can not simulate complex hydraulic environment, and the strong problem of subjective nature of testing, is applicable to the performance detection of hydraulic asphalt concrete material.

The invention discloses a method and a system for carrying out digital level evaluation by utilizing an AI technology, and relates to the technical field of data evaluation and analysis. The method comprises the following steps: performing data acquisition by utilizing a questionnaire; performing index grade division on the survey items; converting the text information into a digital sequence; assigning scoring coefficients to the dimensions and the index grades; giving a deviation adjustment score value to the filling deviation of each investigation item; calculating a final score value according to the second score value and the deviation adjustment score value; constructing to obtain a digital level evaluation model; and obtaining the score of each dimension and the comprehensive score of the user in the aspect of the digitization level by using the digitization level evaluation model. According to the method, the corresponding scoring coefficients are given to the index grades and dimensions respectively, the corresponding score values are given to the text information content, the deviation adjustment score values are given to the filling deviation, the digital level is evaluated from different angles and different emphasis points, and the evaluation result is more reasonable and accurate.

The invention discloses a motor shell finished product detection method and system based on multi-source data analysis, and relates to the technical field of quality detection, and the main scheme is as follows: collecting multiple data of a motor shell; respectively calculating a size conformity comprehensive index, an internal structure stability index and a material performance evaluation value, further calculating a finished product comprehensive evaluation index, presetting a threshold value and judging the grade of the motor shell; a shell quality reliability index is calculated, a shell optimization potential index is calculated based on the shell quality reliability index, then a detection optimization effect index is calculated, a threshold value is preset, and the optimization effect of current motor shell finished product detection is judged; the method can comprehensively and accurately evaluate the quality of the finished product, find potential problems in time, optimize the production and detection process, and improve the overall reliability and production efficiency of the motor shell product.

The invention relates to the technical field of ovality analysis and processing decision systems, in particular to a BIM-based tunnel segment ovality repair effect evaluation system and method, and the system comprises a data collection module which is used for collecting node data in the whole life cycle of a tunnel, and constructing a tunnel multi-source heterogeneous data set; the intelligent analysis module is in communication connection with the data acquisition module and is used for receiving the multi-source heterogeneous data sent by the data acquisition module; analyzing segment ovality based on the three-dimensional point cloud data; constructing an ovality change prediction model; the processing scheme recommendation module is in communication connection with the intelligent analysis module and is used for recommending an ovality processing scheme based on the expert knowledge graph; the man-machine interaction module is in communication connection with the intelligent analysis module and the processing scheme recommendation module and is used for interactively displaying the intelligent analysis result; the method supports the input and optimization of an analysis model, can improve the processing efficiency and quality of the tunnel segment ovality problem, and can provide a new idea and tool for the overall management of tunnel engineering.

The absorption condition of the functional components of the atomized liquid in the respiratory tract of the human body is evaluated in vitro through the respiratory tract epithelial cell monolayer model. The method not only has the advantages of simple operation, small dosage, accurate control of experimental conditions and good repeatability, but also can eliminate the interference of other interference factors in the body on experimental results. The method can partially reflect the real absorption condition of various functional components in the atomized liquid by human respiratory tract cells, and can quickly and objectively obtain an evaluation result.

The present application relates to a multi-dimensional value evaluation method and system for scientific and technological information viewpoints based on fuzzy cumulative prospect theory, the method comprising the following steps: S1: constructing a scientific and technological information viewpoint value evaluation index system and calculating the accurate scores of several dimensions; S2: triangular fuzzy processing the accurate scores of several dimensions and calculating the comprehensive prospect value based on cumulative prospect theory; S3: linear normalization of the comprehensive prospect value of several dimensions to obtain the standardized score; S4: generating the star rating of the scientific and technological information and the corresponding decision suggestion. The system comprises an index calculation module, a fuzzy processing and prospect value calculation module, a linear normalization module and a grade evaluation module. The present application can realize comprehensive, objective and intelligent evaluation of the value of scientific and technological information viewpoints, and provides a scientific, intelligent, practical and interpretable value evaluation solution for the field of scientific and technological information analysis and decision support.

This invention discloses an intelligent spherical tank fire response training system. The system comprises a spherical tank simulation facility, an environmental monitoring facility, an intelligent assessment system, and a central control system. The spherical tank simulation facility simulates the structure of a spherical tank and common fire scenarios. The conical component environmental monitoring facility collects environmental parameters and operational data from trainees at the training site. The conical component intelligent assessment system provides real-time evaluation of trainees' firefighting and rescue operations. The conical component central control system coordinates the operation of all components, enabling the entire training system to be controlled, self-checked, and remotely monitored. This enhances the realism and practicality of the training, allowing trainees to conduct training in a highly realistic environment, effectively improving their emergency response capabilities and practical skills, and addressing the disconnect between traditional training and actual emergency situations.

The invention discloses a suberect spatholobus stem decoction piece quality evaluation method based on a'excellent shape and high quality 'theory, and belongs to the technical field of traditional Chinese medicine quality evaluation. According to the method, key character indexes (the number of turns, the diameter and the delta E) are screened out by utilizing principal component analysis, correlation analysis and partial least squares discriminant analysis (OPLS-DA) by measuring the external character indexes (powder color delta E * > = 35, the diameter and the maximum number of turns of a tangent plane) and the internal quality indexes (catechin, epicatechin and the content of alcohol-soluble extracts) of the caulis spatholobi decoction pieces; and a quantitative correlation and prediction model of the content of the components and the content of the internal components is established. By setting a key character threshold (delta E * > = 35, the number of turns > = 5, and the diameter > = 5.0 cm) or using a prediction model, rapid and objective evaluation of the quality of the caulis spatholobi decoction pieces can be realized, traditional subjective identification and complex instrument detection are effectively replaced, and a reliable standard is provided for quality control and market circulation of medicinal materials.

The invention discloses a digitization-based teaching system, and the system comprises a data processing module which is used for collecting and integrating teaching design related data and student assessment score data, and carrying out the preprocessing of the collected data; and the evaluation analysis module performs multi-aspect evaluation analysis based on the student assessment score data. According to the method, the score rates of the students on different questions are obtained, so that a teacher can know the mastering condition of the students on each knowledge point, personalized evaluation and guidance are carried out, the students are helped to improve academic records in a targeted manner, and comprehensive evaluation indexes corresponding to the achievement degrees of the courses are obtained by analyzing the score rates of the students in the courses. Therefore, the performance of the student on different questions and different courses can be comprehensively considered, the learning condition of the student is more comprehensively evaluated, and misjudgment possibly caused by one-sidedness evaluation is reduced.

The invention discloses a concrete damage area identification and quantitative evaluation method based on ultrasonic excitation. The method comprises the following steps: manufacturing a complete concrete test piece; carrying out excitation on the complete concrete test piece through a piezoelectric ceramic transducer, and collecting speed wave field response data of the complete test piece by adopting a three-dimensional scanning laser Doppler vibration meter; different axial pressures are applied to the complete concrete test piece, and a three-dimensional scanning laser Doppler vibration meter is adopted to collect speed wave field response data of the test piece in different damage states while excitation is performed on the concrete test piece; preprocessing the speed wave field response data, and converting the speed wave field response data into time and space differentiable smooth displacement wave field response data; according to the smooth displacement field response data, calculating a complete concrete elastic modulus and damaged concrete elastic modulus distribution diagram, and delimiting a damage area range; and calculating the average value of the elastic modulus of the concrete in the damaged area and the average value of the elastic modulus of the complete concrete in the same area range to realize concrete damage quantitative evaluation.