284results about How to "Accurate evaluation" patented technology

The invention relates to the technical field of distributed storage, and particularly discloses a distributed storage data self-adaptive load balancing method and system, and the method comprises the steps: distributing data to each node in distributed storage based on a consistent Hash algorithm; key index values of all the nodes are collected in real time, whether the key index values of all the nodes exceed a first set threshold value or not is judged, or whether the response time efficiency of key data obtaining exceeds a second set threshold value or not is judged; if yes, evaluating and sorting the performance of each node in the distributed storage based on an entropy weight method and TOPSIS to obtain a sorting result; positioning nodes with better performance based on a sorting result; migrating the data or the key data under the nodes of which the key index values exceed a first set threshold value to the nodes with better performance; according to the method, intelligent migration of the data to the low-load node is realized, so that the problem of non-uniform data distribution is effectively improved, and the overall performance and reliability of the system are improved.

The invention relates to the technical field of detection, and provides a thick plate titanium alloy welding seam self-adaptive sensitivity ultrasonic detection method which comprises the following steps: designing a combined ultrasonic transducer, designing a detection system, testing and calibrating, testing a signal-to-noise ratio, scanning and evaluating. The detection system comprises a multi-channel ultrasonic detection collector, upper computer software and a combined ultrasonic transducer. Compared with the prior art, the self-adaptive sensitivity ultrasonic detection method for the thick plate titanium alloy welding seam has the advantages that the combined ultrasonic transducer is designed, thick plate titanium alloy welding seam detection and material acoustic performance evaluation are synchronously carried out, and the sound attenuation coefficient is fed back to a welding seam detection channel in real time by using upper computer software; and the detection sensitivity is adjusted in real time, so that the problem of inaccurate defect quantification caused by sensitivity difference due to non-uniform materials is solved, and accurate evaluation on the welding defects is realized.

The invention provides a high-power multimode fiber laser amplifier based on wavefront shaping. The high-power multimode fiber laser amplifier comprises a seed light wavefront control unit, a multimode gain fiber amplification unit and an output light spot detection and feedback unit, the seed light wavefront control unit is used for carrying out wavefront modulation on the seed light output by the polarization seed laser by using a spatial light modulator loaded with a phase diagram; the multimode gain optical fiber amplification unit is used for performing power amplification on the seed light which is output by the seed light wavefront control system and is subjected to output wavefront modulation; and the output light spot detection and feedback unit is used for outputting the laser of most power of the multimode gain fiber amplification system, collecting the rest laser of a small part of power for far-field light spot information detection, calculating the corresponding far-field barrel medium power based on the detected far-field light spot information, and outputting the far-field barrel medium power. And the power in the far-field barrel is used as an evaluation function to operate an optimization algorithm to generate an optimal phase diagram, and the optimal phase diagram is loaded on the spatial light modulator to realize closed-loop feedback control.

The invention relates to the technical field of intelligent analysis of aluminum oxide, in particular to an intelligent data analysis system and method based on aluminum oxide production. Acquiring ball mill parameters, raw material parameters and a spherical alumina impurity threshold, and determining a standard threshold according to the ball mill parameters and the raw material parameters; sampling and detecting the processed spherical aluminum oxide to obtain a purity and morphology image set of the spherical aluminum oxide; constructing a morphology image segmentation model to segment the morphology image set to obtain a first image set and a second image set; constructing a first image recognition model to recognize the first image set to obtain a spherical alumina parameter set, and calculating to obtain a first coefficient; constructing a second image recognition model to recognize the second image set to obtain an impurity parameter set, and calculating to obtain a second coefficient; and calculating the quality coefficient according to the first coefficient, the second coefficient, the spherical alumina impurity threshold and the spherical alumina purity. The comprehensive evaluation of the spherical aluminum oxide is realized through the quality coefficient of the spherical aluminum oxide.

The invention provides a mountain area tunnel structure safety evaluation method, device and equipment and a readable storage medium, and relates to the technical field of tunnel structure safety evaluation analysis, and the method comprises the steps: obtaining a safety evaluation index of a tunnel structure; randomly generating a plurality of samples in a preset security level according to the security evaluation index to obtain a constructed sample set; combining the most unfavorable reference values of the safety evaluation indexes under the safety level to obtain a limit sample set; calculating the combined weight of each safety evaluation index based on a group decision, an AHP algorithm, an entropy weight method, a CRITIC method and a game theory; based on a TOPSIS decision-making method and the combined weight, determining a quantization interval where each second proximity value is located, and obtaining a training sample set; and training a preset extreme learning machine according to the training sample set to obtain a safety evaluation model, and inputting sample data of the to-be-evaluated tunnel structure into the safety evaluation model for evaluation to obtain a safety evaluation result. According to the invention, the accuracy of evaluation index weight calculation is improved.

The invention discloses a digital twin model credibility evaluation method and system, and belongs to the technical field of communication twin networks. The method comprises the following steps: constructing an index system framework for credibility evaluation of the digital twin model, and obtaining corresponding information required for credibility evaluation according to credibility evaluation indexes of the digital twin model; secondly, converting into credibility evaluation grades in combination with demand analysis and expert experience, converting the obtained credibility evaluation grades into evidences through a cloud model, and obtaining the support degree of each evidence for different credibility grades in the recognition framework; and finally, calculating conflicts among the evidences through a Jousseme distance, acquiring a corresponding evidence correction weight for the evidence conflicts and evidence source credibility or evidence importance by using Shapley, acquiring an evidence discount factor in combination with a Deng entropy, and fusing the evidences to acquire final credibility evaluation. According to the method, credibility evaluation can be carried out on the indexes of the model by integrating multiple factors, the accuracy of credibility evaluation is effectively improved, and the uncertainty is reduced.

The invention provides a man-machine interaction system efficiency evaluation method and system based on multi-modal data, and belongs to the field of man-machine interaction, and the method comprises the steps: carrying out the function support degree analysis of each function dimension, and obtaining a function diversity evaluation through combining a relative weight value; calculating response delay corresponding to each function dimension, and obtaining agility evaluation in combination with a weight coefficient of a response delay index; calculating an accuracy rate corresponding to each function dimension, and obtaining an accuracy evaluation in combination with a weight coefficient of an accuracy rate index; and based on functional diversity evaluation, agility evaluation and accuracy evaluation, in combination with the corresponding evaluation weight coefficients, performing overall evaluation on the efficiency of the man-machine interaction system based on the multi-modal data. According to the method, the efficiency of the man-machine interaction system can be comprehensively analyzed.

The invention relates to the technical field of hydroelectric generators, in particular to a three-dimensional flow field load reconstruction method based on reinforcement learning of a gated circulation unit, which comprises the following steps of: establishing a Python-based finite element secondary development platform, and realizing finite element simulation and obtaining a finite element simulation result; fusing a plurality of simulation characteristic indexes extracted from the finite element simulation result by using a multi-scale model fusion algorithm to obtain a finite element simulation result evaluation index, and optimizing simulation parameters; constructing an initial three-dimensional flow field load reconstruction model based on reinforcement learning of a gated circulation unit, and training the initial three-dimensional flow field load reconstruction model by using the optimized simulation parameters; and based on the trained three-dimensional flow field load reconstruction model, obtaining a reconstructed three-dimensional flow field load. By means of the reconstruction method, automatic simulation of finite element software and full-automatic optimization iteration of a parameter decision and reinforcement learning reconstruction network in the three-dimensional flow field load reconstruction process of the hydroelectric generating set component can be achieved.

The invention provides a method and a device for measuring low-temperature creep characteristics of an asphalt mixture, and relates to the field of asphalt material analysis. The method comprises the following steps: cutting a target asphalt mixed test material according to a preset size; obtaining the cut standard trabecular test piece, and performing a trabecular bending damage test on the standard trabecular test piece according to a preset temperature to obtain a maximum load corresponding to the standard trabecular test piece; according to the maximum load, performing a gradual increasing creep load test on the standard small beam test piece according to a preset temperature, and calculating a first creep compliance corresponding to the standard small beam test piece; calculating a second creep compliance corresponding to the standard small beam test piece through a low-temperature creep characteristic evaluation model, carrying out consistency verification, and obtaining a verification result; and calculating the low-temperature creep property of the target asphalt mixed test material at the preset temperature according to the verification result and the dissipative energy ratio index. The problem that an existing evaluation result of the low-temperature creep characteristics is inaccurate is solved.

The invention discloses a TBM rock breaking efficiency evaluation method based on an image fractal dimension, and relates to the technical field of TBM construction evaluation research, and the method comprises the following steps: building a shooting platform for obtaining a rock slag image, and carrying out the preprocessing of the obtained rock slag image; according to the basic principle of a Sandbox method, improvement is carried out on the basis of an original model for rock ballast image characteristics, a calculation program of image fractal dimensions is written based on a Matlab platform, and images are imported into the calculation program to obtain the image fractal dimensions; designing a shooting height, comparing the performance and application conditions of the fractal dimension of the image obtained in the previous step, and comparing with a traditional box counting method; analyzing the correlation between the fractal dimension of the image and the specific energy and roughness index to determine the relationship between the fractal dimension of the image and the TBM rock breaking efficiency; the rock breaking efficiency evaluation method can be used for evaluating the rock breaking efficiency in a certain project, whether the rock breaking efficiency is increased or decreased is compared, and then the construction strategy is adjusted.

The invention discloses an energy efficiency evaluation method for an ammonia-coal co-combustion power station boiler, and belongs to the technical field of boiler energy efficiency analysis. Comprising the following steps: step 1, establishing an energy efficiency evaluation index system of the ammonia-coal co-combustion power station boiler; step 2, establishing a fuzzy matrix of the ammonia-coal co-combustion boiler; 3, determining a weight coefficient of an evaluation index in the energy efficiency evaluation index system by adopting an entropy weight method; step 4, performing step-by-step evaluation on the energy efficiency evaluation index system by adopting a multi-stage fuzzy comprehensive evaluation method, calculating a final score and determining an evaluation grade; according to the energy efficiency evaluation method for the ammonia-coal co-combustion power station boiler, multi-index and multi-factor conditions in the dynamic operation process of the ammonia-coal co-combustion power station boiler are fully considered, the ammonia-coal boiler can be scientifically and accurately evaluated, meanwhile, calculation is kept simple and convenient as much as possible, and a new evaluation criterion is provided for evaluating the overall operation effect of a boiler system.

The invention relates to the technical field of unmanned aerial vehicle nest site selection, in particular to an unmanned aerial vehicle nest site selection and layout method for urban governance, and the method comprises the steps: dividing a target region, and obtaining the address of each to-be-screened nest; obtaining a comprehensive evaluation index according to the coverage condition of the population in the to-be-screened machine nest address, the concentration condition of the residence community, the concentration condition of various infrastructures and the distribution of residents interfered by the machine nests; according to the comprehensive evaluation index and distance distribution between the to-be-screened machine nest addresses, screening the to-be-screened machine nest addresses to obtain alternative addresses; obtaining a target function according to the coverage condition of the residence community in the unmanned aerial vehicle service range corresponding to each alternative address, the comprehensive evaluation index of the alternative address and the quantity distribution condition; and optimizing the target function by using a tabu search algorithm to obtain a nest site selection scheme and a corresponding number of unmanned aerial vehicle nests. The task execution efficiency and flexibility are improved, and the limitation of isolated arrangement in the traditional technology is solved.

The invention provides a customer service evaluation method and device based on an improved NLP model, a medium and equipment, and relates to the technical field of natural language processing. Through an improved NLP model EUEM based on a Transform architecture, deep learning and natural language processing are performed on historical interaction data, intelligent analysis of interaction quality and emotional tendency is realized, compared with traditional manual evaluation, an evaluation result can be given more quickly and more accurately, and labor cost is reduced; a score calculation formula is synthesized, weight parameters are adjusted, and the weights of the interaction quality and the emotional tendency in evaluation can be balanced according to actual requirements, so that the evaluation result better meets the actual requirements; the dynamic emotion influence scoring mechanism can consider real feelings of clients in different interaction stages and emotion states, so that the evaluation of emotion scores is more flexible and accurate; automatic, efficient and accurate evaluation of customer services is achieved, and therefore the customer satisfaction degree is improved.

The invention discloses an ecological restoration project full life cycle carbon footprint evaluation method, which is characterized by comprising the following steps of S1, performing identification and data acquisition on a carbon source and a carbon sink in an ecological restoration process; s2, related parameters of the carbon source and carbon sink data are collected, and a list is compiled; s3, calling carbon source and carbon sink data and related parameters thereof, and carrying out carbon footprint accounting; s4, comprehensively calculating a carbon footprint, and performing carbon benefit evaluation; according to the calculation theory provided by the scheme, carbon emission of a social economic system and carbon sequestration effects of soil, vegetation and the like in ecological engineering construction are integrated, carbon emission and carbon benefits in the whole life cycle of ecological engineering implementation are analyzed, and a standardized and regional accounting database and method are established; and accurate accounting is carried out on restoration construction and operation carbon emission of ecological engineering construction and an ecological carbon sequestration effect after restoration, so that the influence of engineering input ecological environment and restoration benefit output can be comprehensively evaluated.

The invention discloses a construction method of a zero-carbon service area operation stage evaluation index system, and relates to the field of zero-carbon service area development evaluation. The method comprises the following steps: service area carbon emission evaluation: calculating two types of evaluation indexes and carbon emission evaluation scores; forming a carbon emission grading standard based on the carbon emission evaluation score; the service area zero-carbon evaluation comprises the steps of constructing a zero-carbon multi-stage evaluation index system, determining a completion target of each index, distributing index weights, and calculating a zero-carbon evaluation score according to the weights; and forming a service area zero-carbon grading standard based on the zero-carbon evaluation score. According to the invention, comprehensive evaluation research can be carried out on the zero-carbon development of the service area, and accurate evaluation under the change situation of each index state value in the operation stage of the target service area is realized.

The invention discloses an industrial park zero-carbon index system construction and evaluation method. An industrial park zero-carbon index system framework is constructed from four dimensions of energy utilization, resource environment, industrial science and technology and zero-carbon management; determining first-level indexes of different dimensions and second-level indexes corresponding to the first-level indexes; respectively obtaining scores of the secondary indexes, and respectively determining the weight of each secondary index by adopting an analytic hierarchy process and an entropy weight method according to the scores of the secondary indexes; determining the weight of each secondary index by using a combined weighting method, a comprehensive analytic hierarchy process and an entropy weight method, and obtaining the final weight of the secondary indexes; and calculating a comprehensive score according to the score of the second-level index and the final weight of the second-level index. The industrial park zero-carbon index system constructed by the invention can comprehensively and accurately evaluate the zero-carbon development level of the industrial park.

The embodiment of the invention provides an evaluation method and device of a text graph model, electronic equipment and a medium. The method comprises the following steps: inputting a test text into a to-be-evaluated text graph model to obtain a plurality of to-be-evaluated images; obtaining a decision index score according to the to-be-evaluated image; wherein the decision index comprises alignment capability and fidelity; a quality index score is obtained according to the decision index and the to-be-evaluated images, and the quality index at least comprises one of the consistency degree of alignment items of the test text and the to-be-evaluated images, the difference degree between the to-be-evaluated images, the aesthetic degree, the toxicity, the prejudice, the robustness, the generation efficiency and the figure defect degree; and according to the decision index score and the quality index score, determining a total evaluation score of the to-be-evaluated declaration graph model. By determining the index score and the quality index score, the accurate total evaluation score of the to-be-evaluated text graph model can be obtained.

The embodiment of the invention provides a vehicle drivability evaluation method and system, electronic equipment and a storage medium, and belongs to the technical field of automobile engineering. The method comprises the steps that when it is determined that a vehicle is in a constant acceleration working condition, a vehicle longitudinal acceleration disturbance scoring index, a high-frequency disturbance frequency and amplitude proportion scoring index, a longitudinal acceleration gradient scoring index, an expected acceleration scoring index, an accelerator map matching degree scoring index and a low-frequency resonance scoring index are calculated; based on the vehicle longitudinal acceleration disturbance scoring index, the high-frequency disturbance frequency and amplitude proportion scoring index, the longitudinal acceleration gradient scoring index, the expected acceleration scoring index, the accelerator map matching degree scoring index and the low-frequency resonance scoring index, calculation is conducted according to preset weights, and a drivability evaluation score is obtained. By combining multi-dimensional and quantitative evaluation indexes, accurate evaluation of the acceleration performance of the AMT heavy truck is realized, the evaluation consistency and efficiency are improved, and the evaluation cost is reduced.

The invention discloses a method for monitoring and evaluating the irrigation uniformity of underground drip irrigation, and relates to the field of irrigation and water conservancy. Comprising the following steps: selecting a branch pipe unit in a branch pipe rotation irrigation group for field underground drip irrigation, and selecting three drip irrigation belts at the front, middle and rear parts of the branch pipe unit at equal intervals; respectively arranging a pressure observation point at the head end and the tail end of each drip irrigation belt, and installing a pressure measuring device to measure the actually measured pressure value Pm; calculating the dripper flow qm at each pressure measuring device according to the actually measured pressure value Pm; the irrigation uniformity CU1 is calculated according to the dripper flow qm; a soil moisture content observation point is arranged at the corresponding position where the pressure measuring device is installed, and a PR2 soil profile moisture tacheometer is installed; after irrigation, adopting a PR2 soil profile moisture tacheometer to observe the soil moisture content of the soil layer in the preset range of each moisture content observation point within the preset time, and measuring once every preset depth interval; calculating the average value of the soil moisture content of each different depth; calculating the average value of the soil moisture content of each observation point; calculating the soil moisture distribution uniformity CU2 by utilizing a Criswensen formula by utilizing the average value of the soil moisture content of each observation point; calculating the irrigation uniformity CU of the underground drip irrigation according to the CU1 and the CU2; and evaluating the uniformity of the underground drip irrigation according to the uniformity CU of the underground drip irrigation, wherein the evaluation grades comprise excellent, good, general and poor. The method is easy and convenient to operate, economical and practical, the irrigation uniformity of subsurface drip irrigation can be accurately evaluated, more accurate irrigation water effective utilization coefficient evaluation can be provided, actual production requirements can be better met, subsurface drip irrigation can be promoted to be applied to production practice, and the water saving efficiency can be further improved.

The invention discloses a waste concrete mechanical property testing device and method, the waste concrete mechanical property testing device comprises a foundation, a guide column, a movable plate, a turntable, a drilling mechanism, a placing mechanism and a pulling-out mechanism, and a clamp is fixed on the top surface of the foundation to clamp a waste concrete block; the guide column is vertically fixed on the top surface of the foundation; the movable plate is slidably connected to the guide columns. The turntable is rotationally connected to the bottom surface of the movable plate; the drilling mechanism is used for drilling the waste concrete blocks; the placing mechanism is used for placing expansion bolts in the drilled holes; the pulling-out mechanism pulls out the expansion bolt; the axes of the drilling mechanism, the placing mechanism and the pulling-out mechanism are arranged on the bottom face of the rotary disc in an isosceles triangle mode. The relation between the strength of the waste concrete and the torque, thrust and drilling speed of the drill bit and the relation between the peak pull-out force in the pull-out process of the expansion bolt and the strength of the waste concrete are established. The strength of the waste concrete is comprehensively evaluated through a drilling-in method and a pulling-out method, and the method is more accurate compared with the prior art.

The invention relates to the technical field of shale undisturbed formation porosity determination, and discloses a shale undisturbed formation porosity determination method, which comprises: selecting a representative rock sample from a shale formation, carrying out necessary cutting and oil washing treatment on the selected rock sample, crushing the treated shale sample, and screening to obtain the shale undisturbed formation porosity. The method comprises the following steps: selecting particles with proper mesh number, and measuring the density of a shale skeleton sample under the condition of simulating formation temperature and pressure by utilizing a high-temperature and high-pressure magnetic suspension balance or other high-precision density measuring equipment. According to the method, more accurate formation porosity parameters can be obtained by directly measuring the porosity of the shale undisturbed formation, errors caused by change of a pore structure in the processes of sample treatment, transportation and the like are avoided, and the porosity condition of the shale in the formation can be reflected more truly by simulating the formation pressure condition for measurement. Errors caused by differences between experimental conditions and stratum conditions are avoided, and accuracy is improved.

The invention discloses a road driving suitability evaluation method based on an XGBoost-SHAP and a random parameter multivariate Logit model, and relates to the field of road driving suitability evaluation analysis, and the method specifically comprises the following steps: S1, employing front automobile data recorder data and IMU data in an automatic driving automobile data set; s2, establishing a quantitative model of road environment aesthetics, and extracting related characteristic variables from four aspects of naturalness, vividness, diversity and uniformity; s3, an explainable machine learning method combining XGBoost and SHAP is adopted, occurrence of dangerous driving behaviors serves as a dependent variable, road environment aesthetics features serve as independent variables, a road driving suitability RRAV evaluation model of the automatic driving automobile is established, and the relation between road environment aesthetics and dangerous driving behavior RDBAV of the automatic driving automobile is researched; and S4, researching the influence of the random parameter heterogeneity on the RDBAV in the road driving suitability evaluation model by adopting a random parameter multivariate Logit model considering the mean value and variance heterogeneity.

The invention discloses a shadowboxing action coordination evaluation method and device based on gravity center height detection, equipment and a medium, and the method comprises the following steps: obtaining a shadowboxing action video, and recognizing the three-dimensional coordinates of human joints; based on the three-dimensional coordinates, identifying the motion style of the shadowboxing; calculating gravity center data corresponding to each action style based on the three-dimensional coordinates; the gravity center data comprises a human body gravity center point and a human body gravity center height difference; and performing coordination scoring according to the constructed standard data and the gravity center data of the shadowboxing action video. According to the method, subjective errors in manual scoring are effectively reduced, the scientificity and fairness of action scoring are improved, meanwhile, a practicer is helped to find and improve unstable points in actions, and the practice effect is improved.

The present invention discloses a method and system for evaluating coal quality based on hyperspectral imaging technology, and relates to the technical field of coal quality evaluation. The method comprises: obtaining visible-near infrared, short-wave infrared, and thermal infrared hyperspectral images of a region containing a coal target; performing image processing and fusion on a plurality of hyperspectral images to obtain an original hyperspectral image; using a target detection algorithm to identify the coal region in the image; extracting spatial-spectral fusion features based on the hyperspectral images of the coal region, and predicting the ash, moisture, volatile content, and calorific value of the coal according to the relationship between the spatial-spectral fusion features and a plurality of basic indicators of coal quality; performing calculation and correction according to the predicted ash, moisture, volatile content, and calorific value to obtain a corrected calorific value; comprehensively evaluating the moisture, ash, volatile content, and corrected calorific value of the coal to evaluate the coal quality and classify the coal. The present invention can achieve more accurate coal quality detection and evaluation.

The invention discloses a method for evaluating the service life of lubricating grease for a sliding friction pair in a high and low temperature environment, which comprises the following steps: a first-stage test: adjusting the lubricating grease at a set temperature, operating the lubricating grease under a rated load to obtain first-stage test data, and judging whether the lubricating grease passes the first-stage test according to the first-stage test data; and if the lubricating grease passes the first-stage test, further performing a second-stage test on the lubricating grease on the basis of the first-stage test: operating under a load higher than a rated load to obtain second-stage test data, and judging the service life grade of the lubricating grease according to the second-stage test data. According to the method for evaluating the service life of the lubricating grease for the sliding friction pair in the high-low temperature environment, the service life of the lubricating grease for the sliding friction pair is tested, the service life testing speed of the lubricating grease for the sliding friction pair is high, evaluation is accurate, and the method can be used in the high-temperature environment and the low-temperature environment; the application range of the lubricating grease life evaluation method is expanded.

The invention relates to the field of intelligent decision making, is applied to the field of financial science and technology businesses, and discloses a performance scheduling method, device and equipment based on health archives, and a storage medium, the method comprises the steps: scoring each to-be-selected hospital through a pre-trained target scoring model, and determining the hospital grade of each to-be-selected hospital; determining target DRG information through a preset DRG model and the user information; and generating a target performance scheduling strategy based on the hospital level of the to-be-selected hospital and the target DRG information. Through the above mode, the to-be-selected hospitals are scored through the pre-trained target scoring model, and by presetting the diagnosis related grouping DRG model and the user information, the medical requirements of the target user can be determined more accurately, the medical resources and service quality of the hospitals can be evaluated more accurately, the medical service process can be arranged more efficiently, and the medical service efficiency can be improved. Therefore, the performance efficiency of the user in the financial insurance field is improved.

The invention provides a GFRP core rod aging evaluation method and device, and belongs to the field of aging evaluation. The method comprises the following steps: acquiring the DMT modulus of the end surface of a sample to be detected and the DMT modulus of the end surface of a contrast sample; the batch of the contrast GFRP core rod is the same as that of the GFRP core rod to be detected; according to the DMT modulus of the to-be-detected sample, determining the characteristic thickness of the to-be-detected sample, and recording the characteristic thickness as a first thickness; determining the characteristic thickness of the control sample according to the DMT modulus of the control sample, and recording the characteristic thickness as a second thickness; calculating the ratio of the first thickness to the second thickness, and determining the aging degree of the to-be-detected sample according to the ratio. According to the method, the interface characteristic thickness of the two materials in the sample is determined based on the DMT modulus distribution, aging evaluation is performed on the sample by taking the unused sample as a contrast, the calculation process is simple, and evaluation is accurate.

The invention discloses a speed regulation ratio evaluation method for a bladeless fan. The speed regulation ratio evaluation method comprises the steps that S1, the tested bladeless fan is placed in a test room; s2, arranging a plurality of anemometers in array distribution in front of the air supply outlet of the bladeless fan, wherein the blade planes of all the anemometers are parallel to the air supply outlet plane of the tested bladeless fan; s3, the bladeless fan is started, the bladeless fan runs under the rated voltage and the rated frequency, and if a head shaking mechanism exists, the head shaking mechanism is closed; s4, the bladeless fan speed regulator is arranged at the highest wind speed gear, and the measured wind speed vmh of the highest wind speed gear is obtained through measurement; s5, the bladeless fan speed regulator is arranged at the lowest wind speed gear, and the measured wind speed vml at the lowest wind speed gear is obtained through measurement; and S6, the ratio of the measured wind speed vml at the lowest wind speed gear to the measured wind speed vmh at the highest wind speed gear is calculated, and the speed regulation ratio of the bladeless fan is obtained. According to the method, the performance index evaluation of the speed regulation ratio of the bladeless fan can be scientifically and accurately evaluated.

The invention provides a test device and a detection method for simulating a floating ice impact wear behavior, the test device comprises an ice water test box, a test sample plate fixing frame and a rotary power part, the ice water test box is used for placing a mixture of water and ice blocks, the test sample plate fixing frame is used for installing a test sample plate, and the rotary power part is used for rotating the test sample plate. The test sample plate can extend into the ice water test box, and the rotary power part is connected with the test sample plate fixing frame and used for driving the test sample plate to rotate. The test sample plate extends into the ice water test box and is stirred in an ice water mixture under the driving action of the rotary power part, and the relative movement of floating ice and the test sample plate is utilized, so that the floating ice and water continuously impact and wear the test sample plate, and the navigation condition of a ship in a floating ice environment is simulated; the test device for simulating the impact wear behavior of the floating ice in the laboratory is established, a reliable device is provided for researching the damage of the floating ice in the ice area to materials such as the surface and the coating of a ship body, the dependence of actual ship verification is reduced, the test period is effectively shortened, and the investment of manpower and material resources is reduced.