60results about How to "Evaluation results are intuitive" patented technology

The invention discloses an offshore area ecological environment comprehensive evaluation method based on the analytic hierarchy process and the comprehensive evaluation method. The method comprises the following steps: (1) obtaining the essential data of each index of the offshore area ecological environment quality; (2) selecting appropriate evaluation indexes to establish a comprehensive evaluation index system; (3) scoring each index; (4) utilizing the analytic hierarchy process to establish the hierarchical relationship of the indexes and determine the weighting of each index; (5) calculating the comprehensive score A of the offshore area ecological environment quality according to the formulas (1-8); and obtaining the quality classification of the offshore area ecological environment according to the comprehensive score of the offshore area ecological environment quality. The method of the invention overcomes the problem that the evaluation result of the single factor evaluation method is single and is difficult to completely reflect the offshore area ecological environment quality.

The invention discloses a method for estimating an operating state of an SF6 high-voltage circuit breaker and an intelligent system, belonging to the technical field of electric transmission and transformation equipment. The intelligent system comprises a WEB server, a data server, an industrial personal computer, a local discharge monitoring unit, an opening / closing coil current monitoring unit, a release current monitoring unit, an opening / closing stroke monitoring unit, an opening / closing position monitoring unit, an SF6 gas temperature and pressure monitoring unit and a sensing element. The method comprises the steps of: 1, establishing an intelligent estimation system; 2, quantifying estimation indexes; 3, determining matter elements R to be estimated; 4, determining a model classic domain; 5, determining a model node domain; 6, calculating a subjective weight; 7, calculating an objective weight; 8, determining a subjective and objective combined weight; 9, determining a degree of association of the matter elements to be estimated; 10, estimating matter elements of a subproject layer; 11, estimating matter elements of a project layer; 12, estimating matter elements of a target layer; 13, determining an operating state grade; and 14, determining a characteristic index state grade trend. The invention has the advantages of simple model, visual estimation result and strong self-improvement characteristic.

The invention relates to the field of water supply pipelines, in particular to a method for evaluating the health of water supply pipelines. The method particularly includes the steps that data of primary attributes of basic indexes of a water supply pipe network are acquired, and impact factors corresponding to the basic indexes are determined according to the data of the attributes; pipe explosion and leakage are ranked to pipeline failures in a statistical mode, and unit failure coefficients of the impact factors are calculated; weights of the impact factors are calculated according to unit failure frequency; the impact factor with the minimum unit failure coefficient in the basic indexes is used as a reference factor, and the correlation coefficients between the impact factors in the basic indexes are calculated; the health degrees of the water supply pipelines are calculated and evaluated according to the weights of the impact factors and the correlation coefficients; health classification is conducted according to the evaluated health degrees of the water supply pipelines, and the health states of the pipelines to be evaluated are evaluated according to the health classification. The evaluation result is visual, universality is good, and production and application are easy to conduct.

The invention belongs to the field of device health degree analysis, and particularly relates to an alarm data analysis based device health degree estimation method and apparatus. The alarm data analysis based device health degree estimation method and apparatus uses an alarm event as an estimation index, determines index score and index weight according to alarm features, can objectively estimate the health degree of a device, and can provide a basis for instructing later device failure management and maintenance.

The invention discloses a sponge city performance monitoring system and method. The monitoring system comprises a flow monitoring meter, a water quality monitoring meter, a rainfall monitoring meter, a data acquisition unit, a central processing unit, a storage unit and a display unit, wherein the flow monitoring meter, the water quality monitoring meter and the rainfall monitoring meter are used for monitoring instantaneous flow, instantaneous pollutant concentration and instantaneous rainfall; the data acquisition unit is used for collecting monitoring data; the storage unit is used for storing the monitoring data; the central processing unit is used for controlling monitoring time of the flow monitoring meter, the water quality monitoring meter and the rainfall monitoring meter, and calculating total runoff control rate and rainfall runoff pollutant load according to the monitoring data; and the display unit is used for displaying the total runoff control rate and rainfall runoff pollutant load data. The invention also provides a sponge city performance monitoring method, which is characterized by monitoring instantaneous flow, instantaneous pollutant concentration and instantaneous rainfall of all draining points of a land plot simultaneously; and calculating actual control rainfall and the rainfall runoff pollutant load in a monitoring period.

The invention discloses a solar wing spreading reliability estimation method based on a multilevel gray comprehensive model. The method comprises the following steps: determining a reliability estimation index set, and determining an index grade; organizing experts to score the index set; establishing an evaluation matrix, and determining an evaluation grey class; computing weight of each factor by using a matter element method and an analytic hierarchy process; computing a grey evaluation coefficient; and outputting a comprehensive evaluation result. The method provided by the invention is applied to the reliability estimation on a small sample and a limited information experiment object, and can accurately estimate the solar wing spreading reliability. The method has the advantages that the reliability factor can be layered, and the analytic hierarchy process is combined with the matter element method to determine the weight of the reliability factor, and the comprehensive estimation result is intuitive, objective and credible.

The invention provides a method for qualitatively and quantitatively testing and analyzing impurities in steel. The method includes the following steps of firstly, preparing a to-be-tested sample, wherein the to-be-tested sample is ground and polished, and the surface is clean, smooth and free of peculiar objects; secondly, observing the to-be-tested sample in a metallographic microscope, and determining the size range of the impurities; thirdly, adjusting testing parameters of a scanning electron microscope according to the impurity size range determined in the second step, and conducting scanning electron microscope testing and EDS energy spectrum component analysis on the to-be-tested sample to obtain size, shape and component data of the impurities in steel. By setting the component content standard, size and length standard and shape standard of the impurities in steel in application software and related accessories of the scanning electron microscope and setting the proper testing parameters according to the size of the impurities in steel, the properties of the impurities in steel can be accurately, qualitatively and quantitatively analyzed, analyzing and testing are accurate and comprehensive, artificial influence factors are small, and the evaluation result is specific, precise and visual.

The invention discloses a performance evaluation device for a barite blocking remover and an evaluation method thereof. The performance evaluation device for the barite blocking remover comprises a rock core clamping system, a liquid measuring permeability system, a barite drilling fluid injection system, a barite blocking remover injection system and a temperature control system, wherein the rockcore clamping system comprises a clamper capable of clamping a rock core and a first pump connected to the clamp for applying a confining pressure to the rock core; the liquid measuring permeabilitysystem is connected to the first end of the clamper; the barite drilling fluid injection system is connected to the second end of the clamper; the barite blocking remover injection system is connectedto the second end of the clamper; and the temperature control system is used for heating liquids in the liquid measuring permeability system, the barite drilling fluid injection system and the bariteblocking remover injection system and heating the clamper. The device is closer to the field actual application condition in the evaluation process of the barite blocking remover.

The invention relates to a method for processing the lightening-protection transformation evaluation information of an electric transmission line. The method comprises the following steps: 1) acquiring the information of a line to be acquired before and after lightning-protection transformation, wherein the information comprises trip times and operation mileage; 2) calculating the operation trip rate of the line before and after the transformation according to the acquired information; 3) obtaining a calculated trip rate of the line before and after transformation under a practical thunderclap parameters according to the acquired information; and 4) obtaining a quantitative evaluation result of the lightning-protection transformation of the line according to the calculated results of the steps 2) and 3) and the set lightning-protection transformation indexes. Compared with the prior art, the method has the advantages that the evaluation method is simple and practical, the evaluation result is intuitive, and the like.

The invention provides a method and a system for carrying out development assessment on urban facilities. The method comprises the following steps that: urban facility supply index calculation, urbanfacility quality index calculation, urban facility coverage index calculation and urban facility index visualization. The method has the beneficial effects of larger data size, wider coverage range, efficient calculation, more convenient process and more visual and vivid assessment result.

The invention discloses a reading ability assessment method. The reading ability assessment method comprises the steps of data collection and data analysis, firstly, reading ability is divided into three dimensionalities of memory, understanding and reasoning, so that a person to be assessed completes reading tasks of the dimensionalities, and the corresponding data is collected by using an eye movement data collection device; and then, a reading memory ability value, a reading understanding ability value and a reading reasoning ability value are calculated according to corresponding models. Thus, a behavior of observing eye movement is used as a solution for assessing the reading ability of people, and the set of reading ability assessment method based on eye movement tracing technology is established. A corresponding assessment system and an assessment auxiliary device are further provided, and the reading ability assessment method, system and the reading ability assessment auxiliarydevice have the characteristics of scientific objectivity, convenient application and the like.

The invention relates to an unexpected biological event field hazard evaluation simulation system, which comprises an information receiving module, a hazard preliminary evaluation module, a GPS module, an information storage module, a hazard calculation module, and a hazard display module. The information receiving module is used for receiving biological hazard data of a hazard field; the hazard preliminary evaluation module is used for calculating the maximum hazard depth, hazard width and hazard area of pathogenic microorganisms; the GPS module is used for positioning a geographical pathogenic microorganism-polluted area on a national administrative map; the information storage module is used for storing the national grid population data; the hazard calculation module is used for transferring the grid population data inside the geographical pathogenic microorganism-polluted area from the information storage module and calculating the number of infected people and ill and dead people after infection; and the hazard display module displays the geographical pathogenic microorganism-polluted positioned by the GPS module and the number of infected people and ill and dead people after infection calculated by the hazard calculation module on the national administrative map. The unexpected biological event field hazard evaluation simulation system can be widely applied to emergency treatment of a biological hazard attack event.

The invention provides an engineering project construction process evaluation method, which comprises the following steps: establishing a process evaluation model, evaluating project progress based on project progress degree, output value degree, finished product degree, payment rate and document rate, dividing a project period into a plurality of milestone nodes and determining results ought to be output by each milestone; evaluating construction progress degree of the project construction stage; calculating project construction process index and completion index; and making a time-section plan according to a milestone time section where the project construction time is in, and displaying the project finished product degree, output value degree, progress degree, payment rate and document rate corresponding to the finished work in the form of a table or a radar map. The method facilitates assessment of the impact of the completed work in the project during construction, calculates the project construction process index and project completion index and displays the project construction process in the form of the table, thereby facilitating an owner builder to intuitively judge the project construction process and plan situations.

The invention belongs to the technical field of maintenance of the operation state of electric transmission and transformation equipment, and discloses a method for detecting the running state of an oil immersed type capacitive sleeve. The method includes the steps of carrying out relative degradation degree calculation on the operating parameters of the oil immersed type capacitive sleeve, obtaining the relative degradation degree of each operation parameter; wherein the operating parameters comprise the to-ground end screen dielectric loss, the electric capacity change rate of the oil-immersed capacitive sleeve, the sleeve end screen-to-ground insulation resistance, the content of H2 and C2H2 in the sleeve oil and the maintenance frequency; obtaining a first weight of each operation parameter by adopting an analytic hierarchy process; obtaining a second weight of each operation parameter by adopting an entropy weight method; integrating the first weight and the second weight througha cuckoo algorithm to obtain the final weight; integrating the relative degradation degree of each operation parameter according to the final weight, and obtaining the evaluation value of the runningstate of the oil immersed type capacitor sleeve. The evaluation value obtained by the method is closer to the actual operation state of the oil immersed type capacitive sleeve. The method has the advantages of being comprehensive in evaluation factor, clear in quantification and high in operability.

The invention discloses a user side load feature clustering evaluation method based on morphological analysis. The method comprises the following steps: using the data input module of the computer toinput daily load data of various types of users in a region every year; representing the typical energy consumption behavior of single user in one year; the morphological features of each curve are extracted firstly based on the typical daily load curve of each single user obtained in step S2 and the single users are classified according to the morphological features of the typical daily load curve so as to obtain the load feature curves of different types of users; the final evaluation result is generated by using the "cloud center" generator of the "cloud center" evaluation unit; and the computer result output module outputs the visual user side load feature clustering result and the "cloud center" evaluation result. The invention has the advantages of making full use of massive user side data, accurately analyzing the load data, mining the user side load features and evaluating the energy consumption behavior of the user side.

The invention relates to the field of medical diagnosis, in particular to a system for predicting the mortality risk after myocardial infarction. The system comprises an admission controller, a serumcreatinine detection component, a blood sugar detection component, a sample information receiving function module, an assignment module, a risk calculating module and a report system main interface, wherein the risk calculating module receives assigned values from the assignment module, and calculates according to a total score of the assigned values to obtain the mortality risk after the myocardial infarction. The system is easy to operate, and an assessment result is intuitively displayed; after adoption of the system provided by the invention, reasonable risk detection can be accurately andrapidly performed among a female cardiovascular disease population and individualized precise treatment strategies are guided, so that the system has an important clinical application value.

The invention provides a method for evaluating the influence of water treatment agent on membrane system operation, wherein all the produced water in the membrane system is drained at first, all the concentrated water back flows, the drained produced water is 50 to 90 % of the original water amount, then all the produced water and concentrated water back flow, and therefore the influence of the water treatment agent on membrane system operation is evaluated through determining and comparing the concentrations of the water treatment agent in an inlet water tank and the water yields of a membrane unit at different times.

The invention relates to the technical field of vehicle testing, in particular to a testing and evaluating system and method for an automatic emergency braking system of a commercial vehicle, and the system comprises a fixed base station, a positioning module, an acquisition module, a processing module, a moving target module and a scoring module. The method comprises the steps o: enabling a test vehicle to drive towards a test target in a test scene under a preset condition, detecting the real-time position and the real-time speed of the test vehicle, judging whether the test vehicle reaches a preset position or not according to the real-time position, and starting test when the test vehicle reaches the preset position; testing for a preset number of times according to a preset condition; detecting identification information and braking information of the automatic emergency braking system on the test vehicle to the test target, ending the test when the test vehicle meets an ending condition, and forming a test result according to the identification information, the braking information and the real-time speed; and scoring the test result according to the test target to obtain an evaluation score. The multi-dimensional evaluation improves the evaluation accuracy.

The invention provides a high-dynamic-range (HDR) image quality evaluation method based on tensor domain curvature analysis. Tensor decomposition in the method can maintain most color information of an HDR image, and curvature analysis can extract structure information of the HDR image; an effective feature set is constructed through combination of tensor decomposition and curvature analysis, andis used to characterize different distortion degrees of HDR image blocks; then local features of the HDR image are extracted from a label matrix reconstructed and obtained by utilizing the feature setand a sparse dictionary with labels; and finally, predicted quality of the image is obtained through aggregating the local features and global features of the HDR image. The method of the invention is tested on two public databases; and experiment results show that performance indexes thereof are all superior to those of other non-reference metrics, and it means that consistency of the method with human visual perception is higher.

The invention discloses a method for evaluating performance of AgSnO2 contact material. According to the method, the grey relational degree and an improved entropy weight TOPSIS evaluation method areapplied to quantitative analysis of the performance of the AgSnO2 contact material with single variable change, so that more intuitive, specific and clear overall evaluation is obtained, and an optimal object is selected, so that, the purpose of selecting the optimal value of the performance of the AgSnO2 contact material can be achieved, and the working performance of the AgSnO2 contact materialcan be reflected more accurately. Therefore, the evaluation indexes are established from the perspective of cost consumption for analysis, the entropy weight method is adopted to calculate the weightof each evaluation index, the subjectivity of weight calculation is reduced, the amount of information contained in original data is mined, and the weight of each index is determined more accurately;and relative closeness is calculated by combining the grey correlation degree and the Euclidean distance, sorting is carried out to judge the quality of an evaluated object, the quality grade of the evaluation result is established, so that the quantitative analysis and evaluation on the performance of the AgSnO2 contact are carried out.

The invention relates to the technical field of artificial intelligence and discloses a picture similarity calculation method and device, computer equipment and a storage medium. The picture similarity calculation method comprises steps of determining whether targets of the same type exist in a first picture and a second picture or not according to a first target detection result of the first picture and a second target detection result of the second picture; obtaining a first target sub-graph and a second target sub-graph from the first picture and the second picture when it is determined that the same type of target exists; calculating the sub-image similarity of the first target sub-image and the second target sub-image, determining the image similarity between the first image and the second image according to the sub-image similarity, and outputting the image similarity and the sub-image similarity; and when it is determined that the same type of target does not exist, performing edge detection on the first picture and the second picture, calculating picture similarity between the first picture and the second picture, and outputting the picture similarity. According to the method, accuracy of the similarity of the pictures can be improved, and similarity of the pictures can be explained.

The invention relates to the field of medical diagnosis and particularly relates to a lung cancer multifocal diagnosis system. The system comprises a sample information processing module, a first diagnostic module, a second diagnostic module and an information output module, wherein the first diagnostic module and the second diagnostic module are used for determining whether a focus is multiple primary or metastatic according to carcinogenic driver gene and hotspot mutation of lung cancer, so that multifocal molecular determination on lung cancer can be realized.

The invention discloses a method for detecting and analyzing small-size non-metallic inclusions in steel by using a scanning electron microscope, and mainly solves the technical problems of low quantitative analysis precision and poor stability of the small-size non-metallic inclusions in the steel in the prior art. According to the technical scheme, the method for detecting and analyzing the small-size non-metallic inclusions in the steel by using the scanning electron microscope comprises the following steps: (1) preparing a metallographic sample, and embedding the surface of the sample to be detected by using a hot embedding machine; grinding, polishing and cleaning the embedded sample and pasting aluminum-foil paper on a non-analysis area on the edge of the sample to obtain a metallographic sample; 2) regulating and controlling scanning electron microscope and energy spectrum detection parameters; (3) detecting inclusions; and 4) analyzing the inclusions, setting a classification standard of the inclusions, and analyzing a detection result by utilizing a computer inclusion analysis program to obtain the quantity, size, shape and component information of the inclusions. The method is easy and convenient to operate, high in efficiency and high in precision of qualitative and quantitative analysis of the small-size non-metallic inclusions in the steel.

The invention discloses a complex electromagnetic environment construction equivalence quantitative evaluation method, which comprises the steps of 1, performing complex electromagnetic environment vector decomposition to obtain a to-be-constructed environment vector signal set and a constructed environment vector signal set; 2, carrying out vector signal waveform clipping on the to-be-constructedenvironment vector signal set and the constructed environment vector signal set; and 3, performing construction equivalence quantitative evaluation by calculating the similarity between the clipped to-be-constructed environment vector signal set and the corresponding vector signal waveform group in the construction environment vector signal set. According to the complex electromagnetic environment construction equivalence quantitative evaluation method, the environmental equivalence evaluation before and after construction can be completed without knowing the signal characteristics and specific parameters of the signals contained in the complex electromagnetic environment in advance, the evaluation complexity can be simplified, and the implementation performance is high.

The invention discloses a seawater invasion and soil salinization integrated real-time monitoring and evaluating system. According to the system, a symmetrical quadrupole sounding method is adopted tomeasure the vertical apparent resistivity of soil at a monitoring point; seawater invasion and soil salinization conditions are monitored according to the relationship between the apparent resistivity and the content of chloride in underground water and the functional relationship between the apparent resistivity and the total salt content in the soil; seawater invasion and soil salinization evaluation are automatically completed according to a measurement result, and an evaluation report is generated. Therefore, the seawater invasion and soil salinization integrated real-time monitoring andevaluation system can simultaneously complete monitoring and evaluation of seawater invasion and soil salinization, greatly reduce the workload, and improve the monitoring efficiency; a laboratory analysis link is omitted, so that a monitoring result can be conveniently and quickly obtained; measurement points are not limited to existing water wells and the like, and therefore, representativenessof the monitoring points and correctness of results are guaranteed.

The invention discloses a real-time calculation method of a nonlinear error in arc tangent demodulation of a phase-generated carrier (PGC). Interference fringes produced by a laser interferometer aresimultaneously detected by two photoelectric detectors; and the detection centers of the two photoelectric detectors are spaced at a distance of a one-quarter-cycle interference fringe. When a measuring lens in the interferometer is moved, the to-be-measured phase of the interferometer is changed continuously; PGC demodulation is carried out on interference signals detected by the two photoelectric detectors to obtain demodulation phase values; difference processing is carried out on the demodulation phase values to obtain a phase difference; detection is carried out in real time and a peak-to-peak value of a nonlinear item of the phase difference is obtained and a non-linear error corresponding to the demodulation phase is calculated based on the peak-to-peak value. According to the invention, the non-linear error caused by the arc tangent demodulation of the PGC can be evaluated in real time. Compared with the traditional total harmonic distortion method, the real-time calculation method has the following advantages: the method is realized simply, the evaluation result is visual, and the real-time performance is good. And the method can be applied to evaluation of phase modulation non-linear errors of an interference-type optical fiber sensor or a self-mixing interferometer.

The invention relates to a non-invasive brain death detection and evaluation instrument. The technical scheme is as follows: the non-invasive brain death detection and evaluation instrument comprisesan optical signal acquisition system, a control and data transmission system, and a data analysis and brain death evaluation system, wherein the optical signal acquisition system sends near infrared light to the brain of a patient and collects a response signal, and transmits the response signal to the control and data transmission system; the control and data transmission system controls the optical signal acquisition system, and integrates the collected data and transmits the integrated data to the data analysis and brain death evaluation system; the data analysis and brain death evaluationsystem comprehensively analyzes a human body optical signal transmitted by the optical signal acquisition system, and displays the obtained result. The non-invasive brain death detection and evaluation instrument is reasonable in design, the function of optical detection for brain death in a non-invasive, completely non-invasive, real-time and continuous detection and portable manner for 48 hoursor a longer time is realized, meanwhile, the brain metabolism data can be provided in real time, an imaging system is used for dynamic display, so that the evaluation result is more visual, and the use is more convenient.

The invention relates to a method for determining an optimal pairing mode of vehicle-mounted relay contacts. The method comprises the following steps: firstly, establishing evaluation indexes from the perspective of cost consumption for analysis, performing weight calculation on each evaluation index by adopting an entropy weight method, reducing the subjectivity of the weight calculation, and exploring the amount of information contained in original data, so that the determination of the weight of each index is more accurate; establishing an evaluation result quality grade; using the TOPSIS model to obtain the corresponding evaluation value, and determining the quality grade of each contact pairing mode. The quality of the vehicle-mounted relay contact performance under different pairing modes can be comprehensively evaluated.

The invention discloses an enterprise quantitative diagnosis method based on a scale theory, and the method takes an enterprise scale as an entry point, establishes an enterprise evaluation system which gives consideration to static evaluation and dynamic evaluation, and helps an enterprise to complete the own physical examination. The method starts from data, a transverse comparison method between companies is designed by using a power law relationship between company financial variables and company scales, so that companies of different scales can be compared, the market nonlinear effect canbe considered, quantitative evaluation of enterprise financial development conditions of different years or different stages can be realized, and abnormal indexes can be found in time. In addition, the development speed and the operation efficiency of different indexes of the enterprise within a period of time can be quantitatively evaluated through the individual company different-speed scale rule; and finally, the difference between the enterprise development track and the ideal development track is compared, the stability of enterprise growth within a period of time is calculated, and enterprise dynamic assessment is completed.

The invention discloses a characterization method and system for in-situ statistical distribution of inclusions in steel, and the method comprises the steps: carrying out the pretreatment of a to-be-detected sample, and obtaining a smooth and clean detection surface; pasting an aluminum foil at one end of the to-be-tested sample, and evaluating the category and size range of inclusions in the to-be-tested sample through a scanning electron microscope; obtaining chemical composition, morphology and coordinate position data of the inclusions through a scanning electron microscope and an energy spectrum accessory; analyzing the chemical composition, morphology and coordinate position data to obtain an in-situ statistical distribution result of the size and the number of the inclusions; the method combines the advantages of data analysis of the inclusion characterization scanning electron microscope method and the in-situ analysis method, and has the advantages of large analysis view field, complete statistical information and visual evaluation result.