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 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 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 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 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 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 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 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.