313results about How to "Evaluation results are reliable" patented technology

The invention relates to a method for evaluating the lightning protection performance of transmission lines based on the parametric statistics of lightning. The method comprises the following basic steps: firstly, the information of the transmission lines which require the lightning protection performance evaluation is given; secondly, the ground flash density and the probability distribution statistics of the lightning current magnitude within a specified period are performed to the given transmission lines; thirdly, the lightning-stroke trip-out rate in each section of the transmission lines segmented according to a pole tower within the specified period is calculated; fourthly, a reference value is set according to a design value, a specified value or an operation experience value of the lightning-stroke trip-out rate, and the time difference and the space difference of the lightning protection performance of the transmission lines are evaluated according to the lightning-stroke trip-out rate of each section of the transmission lines and a whole line within the specified period, wherein the lightning-stroke trip-out rate is obtained through the calculation in the step three. The method has the advantages that the evaluation to the lightning protection performance of the transmission lines is performed on the basis of the parametric statistics of lightning with time and space differences; the evaluation result of the method to the lightning protection performance of the transmission lines is more reliable, and has more pertinence; and the evaluation to the lightning protection performance of the transmission lines on different times and different spaces is realized.

The invention relates to a remote sensing assessment method and system for ecosystem vulnerability. The method comprises the steps of performing ecosystem vulnerability zoning in a target area range, determining ecosystem vulnerability assessment indexes of different zones according to the zoning result, establishing a corresponding ecosystem vulnerability assessment system in each zone, determining the weights of the ecosystem vulnerability assessment indexes in the different zones by using a hierarchical analysis method, and establishing an ecosystem vulnerability remote sensing assessment model based on a comprehensive index method to assess the ecosystem vulnerability. According to the method, a reasonable ecological environment zoning scheme is formed in the target area range, and a scientific and normative ecosystem vulnerability assessment system, a weight assignment scheme and an assessment model are respectively constructed according to the ecological environment characteristics of the zones to realize intelligent remote sensing assessment of the ecosystem vulnerability, so that the assessment result is accurate and reliable and repeated operation can be implemented.

A map evaluation system is equipped with a car navigation device and a map evaluation device. The car navigation system generates difference data indicating a location where a difference is present between a vehicle position path and a road location obtained from a map database. The car navigation device then sends the difference data along with additional data relating to accuracy of the difference data. The map evaluation device determines accuracy for the difference data based on the additional data. When the accuracy degree of the difference data is determined to be proper, the map evaluation device increments by one a determining count of a group including the difference data. When the determining count exceeds a given count, a portion to be amended on the map database is displayed on a monitor based on the difference data stored in a difference database.

The invention discloses a method for evaluating the foundation stability of a coal mining subsidence area. The method comprises the following steps of (1) calculating the height of a caving fracture zone: according to different geological and mining conditions, measuring related parameters and selecting a calculation formula or an empirical formula for the height of the caving fracture zone; (2) calculating the load impact depth of the coal mining subsidence area: according to the geological stratum conditions of a goaf, analyzing the gravity stress and additional ground stress of a foundation and determining a calculation method for the building load impact depth of the coal mining subsidence area; and (3) evaluating the foundation stability of the coal mining subsidence area: according to a mutual relation among the mining depth H<mining> of a coal seam, the height H<fracture> of the caving fracture zone in the coal mining subsidence area and the building load impact depth H<impact>, evaluating the foundation stability of the coal mining subsidence area. The method is suitable for foundation stability evaluation of different mining methods and mining processes under different geological and mining conditions, and is wider in application range and good in evaluation effect.

The invention discloses a safety warning method of an electric vehicle power battery, which comprehensively evaluates the safety of the battery from two perspectives of battery performance degradationand possible failures, and gives a safety rating. In the evaluation of battery performance degradation, a degradation model prediction method based on particle filter is adopted, the remaining life of the current battery is predicted through estimating the model parameters, and a degradation index of the battery is given combined with the health status of the battery; and a method based on the BPneural network is used, and the history and real-time data of the battery BMS system are used as inputs, so as to extract the states associated with various critical faults and predict the possibility of various faults. After the two aspects of the safety assessment results are combined, comprehensive safety warning information is given. Compared with the current method of evaluating the safety of the battery only from the perspective of the remaining life or the health state, a more reliable evaluation result can be given.

The invention discloses a credit assessment model training method, and a credit assessment method and apparatus. The training method comprises the steps of obtaining original training behavior data of a training user in a business system; extracting original training features in the original training behavior data; performing feature combination on the original training features according to a GBDT model to generate corresponding training cross combination features; and performing training on a logistic regression model according to the training cross combination features to build a credit assessment model. According to the method, the original training features are trained through the nonlinear GBDT model to generate the corresponding training cross combination features, and the linear LR model is trained through the training cross combination features to build the credit assessment model, so that the credit assessment model has not only high performance of the nonlinear model but also interpretability of the linear model.

The invention discloses a detailed terrain data-based transmission line failure-shielding and lightning-protection performance evaluation method. The method comprises the following steps of: acquiring statistical lightning data of a line corridor in a specified time period by a lightning parameter statistical method by adopting line basic information, line geographic information, line structural characteristics and line insulation characteristics; scanning a three-dimensional coordinate of a transmission line corridor by using geographic information system (GIS) software; determining the landscape along a line and a ground angle according to the three-dimensional coordinate in the direction vertical to the line corridor; determining wire-to-ground height variation caused by surface undulation according to the three-dimensional coordinate in the direction along the line, and acquiring detailed terrain data along the line by three-dimensional GIS scanning; calculating the shielding failure trip-out rate of each base tower according to the detailed terrain data extracted based on the GIS scanning; and acquiring real line failure-shielding and lightning-protection evaluation data in the specified time period by comparing a design value, a specified value or an operation experience value of the line failure shielding trip-out rate with a reference value of the line failure shielding trip-out rate. Therefore, the line failure-shielding and lightning-protection performance evaluation is realized.

The invention discloses a dynamic correction method for reliability assessment of a large-sized oil-immersed power transformer; a transformer oil-paper insulating system is used as an assessment object, and two processes are involved; in the first process, with hotspot temperature calculation as the core, an HST-based (hotspot temperature) transformer aging fault model is established in conjunction with Weibull distribution and Arrhenius reaction law, winding HST is acquired by calculating, and fault rate gamma of the transformer oil-paper insulating system is solved; in the second process, with gray target correction analysis via dissolved gas in oil as the core, a relationship between transformer health state and its predicted life is established via grey theory, equivalent HST value is obtained, dynamic correction is provided for the basic model in the first process, and it is ensured that the assessment value is capable of well tracing and reflecting actual reliability level of the transformer. By using the method, it is possible to effectively solve the problems that, for instance, a transformer reliability analysis model has low accuracy and is difficult to popularize and apply.

A credibility evaluation method of software units of a complex software system includes the following steps: A building a credibility index system; B determining a credibility evaluation comment set; C acquiring an objective weight through factor analysis by aid of SPSS (Statistic Package for Social Science), acquiring a subjective weight with an analytic hierarchy process and determining the final factor weights with a dynamic assignment method; D conducting first-level fuzzy evaluation on credibility of the software units; E correcting the evaluation result through multiple fuzzy composition operators; F iterating the above calculation process to achieve multi-level fuzzy comprehensive evaluation on the credibility of the software units. The credibility evaluation method classifies evaluation indexes, so that an evaluation result is more reliable; acquired index weight values better accord with the practical condition of the software units, so an objective and subjective weight structure can be adjusted dynamically according to different software units; the evaluation result is corrected through the multiple fuzzy composition operators so that the evaluation result is more scientific, accurate and reasonable.

The invention relates to a rock wettability evaluating method used for petroleum drilling and exploration, which utilizes the frequency dispersion character of rock electrical parameter to conduct reservoir rock wettability evaluating. The dispersion information of phase has closer relationship with the wettability comparing with the resistivity; therefore the evaluating result is more accurate and reliable. The method has the characters of being simple, visual and convenient, which doesn't need special experiment device and the experiment period is short, the maneuverability is strong, the experiment process is simple, and can be conducted under normal temperature and pressure, and which also can be conducted under stimulating the high temperature and pressure of reservoir condition.

The invention discloses an omni-mobile balance capacity assessing and training system of stroke patients. The omni-mobile balance capacity assessing and training system structurally comprises a fixingdevice, a safe device, a moving device, a data collecting device, a data processing and displaying device and a visual interference device; on the basis of multi-mode signal collecting and processingand by combining friendly human-computer interaction between voice prompt and the tested persons, a human body balance capacity assessing virtual task based on the Unity 3D design is completed by thestroke patients, information such as age, gender, stature, weight, pressure center path, heart rate, blood pressure, electromyographic signal and joint angle of the stroke patients are obtained accurately, and balance capacity assessing results of the stroke patients are comprehensively given; the system can further automatically formulate a corresponding training scheme according to the assessing results, and balance capacity training of the stroke patients is achieved by combining a balance capacity training game in VR glasses; and the omni-mobile balance capacity assessing and training system is simple in structure, easy and convenient to operate, capable of moving omni-directionally and high in reliability, and has good promotional value.

The invention relates to the technical field of natural gas peak shaving operation, in particular to a comprehensive evaluation method for peak shaving schemes of a gas pipe network and a gas storage. The method comprises the steps of 1, predicting a city gas load: building a city gas load prediction model by adopting an artificial neural network model, and predicting the city gas load subjected to peak shaving by using a differential evolution extreme learning machine algorithm, thereby determining a peak shaving quantity; 2, performing peak shaving optimization on the gas storage: according to previous peak shaving operation experience of the gas storage, fitting out a relational expression of operation parameters of the gas storage and the peak shaving quantity, and obtaining a gas recovery rate of the gas storage under a certain peak shaving quantity; 3, simulating a peak shaving quantity of the pipe network, and obtaining preselected peak shaving schemes; and 4, comprehensively evaluating the peak shaving schemes: comprehensively evaluating different peak shaving schemes to obtain an optimal peak shaving scheme. According to the method, the conditions such as peak gas consumption of users, peak shaving capability of a pipeline, peak shaving capability of the gas storage and the like are comprehensively considered, so that the optimality and scientificity of making and arranging the peak shaving schemes are effectively improved.

The invention relates to an assessment method for rainstorm disaster risks of sectional power transmission line pole-tower foundation slopes, and the method comprises the following steps of acquiring control factors of the rainstorm disaster risks of the pole-tower foundation slopes, and quantizing and normalizing the control factors; establishing a mapping relation between the control factors and a rainstorm landslide accident rate by utilizing an improved BP (Back Propagation) network and adopting disaster statistics and artificial rainfall slope erosion test results as training samples, and acquiring a risk assessment mathematic model; and acquiring the rainstorm landslide risk grade of each slope relative to a whole line by adopting the calculated average rainstorm landslide accident rate value of the whole-line foundation slope as a benchmark value, acquiring a weight vector of each section in terms of percentage for the slope at each risk grade by utilizing an improved layering analysis calculation program, with consideration of different influences of the slope at each risk grade on the rainstorm disaster risks, calculating the weight vector of the slope at each risk grade for the rainstorm disaster by continuously adopting the improved layering analysis calculation program, and finally synthesizing the weight vectors of all layers from top to bottom by utilizing a computer to obtain the risk assessment result of each section.

The invention provides an analysis method of network risks. Firstly, informations, such as topology, weaknesses, services, etc., are collected in order to structure a network attack map; secondly, according to the network attack map, the probability that each weakness is successfully utilized by attackers is calculated; thirdly, the probability of the successful utilization of each weakness is combined with the influence of the weaknesses affecting the services and data of hosts in order to calculate the risks of each weakness affecting the availability, security and integrality of the hosts; fourthly, considering the security requirement of each host, the comprehensive risk of each host is calculated; fifthly, according to the comprehensive risk of each host, the comprehensive risk of a network is calculated. The invention has the advantages of that the influence of the association among weaknesses, which affects the security of hosts and networks, is sufficiently considered and that the quantitative evaluation of the risk states of hosts is carried out according to security requirements, so that the results of evaluation are more real and reliable.

The invention discloses a rainstorm disaster risk evaluation method for a foundation slope of a transmission line tower. The method comprises the following steps of: obtaining disaster causing factors controlling the rainstorm risk of the foundation slope of the transmission line tower according to extensive disaster statistics and artificial rain slope corrosion test statistics; and performing quantification and normalization processing on the disaster causing factors and slope stability, and calculating a weight vector of influence of each disaster causing factor on the disaster causing of rainstorm by adopting an improved hierarchical analysis calculation program; establishing a mapping relationship between the disaster causing factors and a slope stability safety coefficient by adopting an artificial intelligence method and an improved back propagation (BP) network to obtain a mathematical model for evaluating the rainstorm landslide risk of the foundation slope of the transmission power tower; quantifying vulnerability factors, obtaining a weight vector of influence of each vulnerability factor on the disaster causing risk of the rainstorm by adopting an expert analysis method, and establishing a rainstorm risk evaluation mathematical model for the foundation slope of the transmission line tower according to a relationship that the risk is equal to a product of danger and vulnerability; and accurately evaluating the rainstorm risk of the foundation slope of a specified transmission line tower.

The invention relates to a risk assessment method, comprising the following steps: receiving the risk evaluation request sent from a terminal; searching a social network graph; monitoring risk factors; based on the risk factors, determining the first-level activated nodes in the social network graph; according to the social network graph, calculating the accumulated weights of the first-level activated nodes to their neighboring connected nodes and determining whether the accumulated weights exceed the preset activation threshold for the neighboring connected nodes so as to determine the second-level activated nodes; according to the first-level activated nodes and the second-level activated nodes, determining the next-level activated nodes until the accumulated weights of the connected nodes are transmitted to an evaluation body to obtain the accumulated weights of the evaluation body, to further obtain the risk evaluation result of the evaluation body and to transmit the risk evaluation result to the terminal. The above method achieves higher evaluation efficiency and can analyze the risk transmission process dynamically.

The invention discloses an image definition evaluating method and an image definition evaluating device. The image definition evaluating method comprises the steps of: acquiring an image to be evaluated; preprocessing the image to be evaluated; determining a vertical edge with a declined gray value of each row in the image to be evaluated according to gray values of pixel points of each row in the image to be evaluated; calculating a Value of each vertical edge according to the gray values of the pixel points contained in the vertical edge; setting a variable a with an initial value of 0, and adding 1 to the value of the variable a when the Value of each vertical edge is calculated each time; summating absolute values of Values of the vertical edges of all rows in the image to be evaluated to obtain a Value sum S1 of the image to be evaluated; calculating a mean value S of the Value sum of the image to be evaluated according to a ratio of the S1 to the variable a; and evaluating the definition of the image to be evaluated according to the mean value S. The image definition evaluating method and the image definition evaluating device perform image definition evaluation based on the edge Value of the image, and have the advantages of unimodality, unbiasedness and sensitivity.

The present invention discloses a pipeline water quality risk evaluation method based on a water supply network dynamic model. Establishing a water supply network dynamic waterpower and water quality model and performing accurate checking of the water supply network dynamic waterpower and water quality model through determination of the classification type and the evaluation indexes of the pipeline water quality risk; determining the weight of each evaluation index through adoption of the analytic hierarchy process; and dividing the grading standard of each evaluation index parameters based on the state data samples of the pipe network dynamic model, determining the degree of membership of each evaluation index, performing the fuzzy comprehensive evaluation, and determining the grade of the water quality risk of each pipeline in the pipe network. Though the steps mentioned above, all the pipelines of the whole water supply network are subjected to water quality risk evaluation, and the comparison and the ordering are performed according to the evaluation result to determine risk degree ordering of water quality changing and provide decision support for the management and maintenance of the pipe network; and moreover, the pipeline water quality risk evaluation method based on the water supply network dynamic model overcomes the defects that other evaluation methods are simple in index and do not take incomprehensive consideration, and the evaluation result is more reliable to ensure the accuracy and the life cycle of the evaluation.

The invention relates to a rock mass structure surface roughness evaluation method overcoming a size effect. Operation steps are characterized by selecting a large size profile which possesses representativeness and whose length is L on a natural rock mass structure surface and marking the profile; a measuring instrument is erected along a selected profile and collecting n small-size profiles whose lengths are l on the profile; ensuring that an acquisition quantity n is greater than an effective acquisition quantity ne; digitizing the acquired n profiles; using a variable diagram method to calculate fractal dimensions D of the n profiles so as to obtain the n values of the fractal dimensions D; averaging the n values of the fractal dimensions D so as to acquire an average value of the fractal dimensions, using the average value of the fractal dimensions to describe roughness of the large size profile whose the selected length is the L so that roughness of a small-size rock mass structure surface is used to represent roughness of a large-size rock mass structure surface and an error brought by the size effect is eliminated. According to the method of the invention, through measuring the roughness of parts of the rock mass structure surfaces, the roughness of the overall rock mass structure surface is evaluated; an evaluation result is real and reliable and high precision is possessed.

The invention, which belongs to the wireless sensor network positioning technology field, discloses a wireless sensor network safety multi-hop positioning method. The method comprises the following steps that: step 1. all nodes acquire multi-hop distances and multi-hop distance hop counts of all anchor nodes in a ranged of from the nodes to a multi-hop communication scope; step 2. the anchor nodecarries out assessment to a trust degree of other anchor node broadcast coordinates in the multi-hop communication scope; step 3. the anchor nodes use a multi-hop mode to broadcast an obtained trust degree assessment value; step 4. an unknown node solves a comprehensive trust value of the anchor nodes in the multi-hop communication scope; step 5. the unknown node establishes a coordinate estimateequation set which includes anchor node reliability; step 6. the unknown node solves the position coordinate of its own. In the invention, through the mutual trust assessment and comprehensive trust value calculation of the nodes in the multi-hop communication scope, negative influence of non-trusted anchor nodes to wireless sensor network multi-hop positioning can be reduced; system security andreliability can be enhanced; positioning precision of the wireless sensor network can be raised.

The invention relates to an estimation method for operational reliability of a numerical control machine based on a proportional hazards model, comprising the following steps: step I, using a characteristic signal for reflecting the operational state of the equipment and selecting the effective value, the peak value, the peakedness and the peak value in the characteristic signal as covariant in the proportional hazards model; step II, carrying out reliability parameter estimation to the parameters in the proportional hazards model, carrying out solving by using a maximum likelihood estimation method, so as to obtain the current failure rate and realize the estimation to indexes such as the reliability. In the invention, the real-time performance is good, the estimation result is reliable, thereby being a new method for the traditional reliability estimation; the method is suitable for real-time reliability estimation for the equipment operating process.

The invention provides an artificial intelligence-based food flavor sensory evaluation system and an establishment method thereof. The food flavor sensory evaluation system comprises a component sensory detection system, a computer intelligent analysis system and a food flavor database, wherein the component sensory detection system consists of a GC-MS and a GC-O; the GC-MS is used for obtaining flavor feature original data of foods; the GC-O is used for obtaining artificial sensory evaluation data of food flavors; the computer intelligent analysis system is used for performing preprocessing and feature extraction on the flavor feature original data and the artificial sensory evaluation data, and performing dimension reduction and clustering analysis on the original data; and the food flavor database is established by performing fitting analysis on the flavor feature original data and the artificial sensory evaluation data obtained by the sensory detection system by a computer, combines the flavor original data and the artificial evaluation data, and comprises various data of mutual association of food volatile components. The instrument analysis is combined with the human body sensory evaluation, so that the one-sidedness and the defect of manual repetitive detection in an existing food flavor detection method are overcome, and an evaluation result is more comprehensive and reliable.

The invention provides a service life evaluation method for bus electrolytic capacitors of a motor driver. The method comprises the steps: testing the core temperature of each bus electrolytic capacitor of a driver and the working environment temperature by means of a temperature-sensitive technology, selecting the highest core temperature rise [Delta]T among the electrolytic capacitors, and calculating the core temperature T2 of the electrolytic capacitors when the driver is running in a condition with the upper limit environment temperature. The service life of the bus electrolytic capacitors is calculated according to the difference between the highest allowed core temperature and the T2 as well as correction coefficients of bus voltages, so the service life of the driver can be evaluated. According to the method, the influence brought by the difference between an actual temperature upper limit for a driver and a test environment temperature, the influence of bus voltage when the driver is in use and the influence of uneven temperature rises among bus electrolytic capacitors are all taken into consideration. Aspects are comprehensively considered by the method, and an evaluation result is reliable.

The present invention belongs to the nuclear power plant safety operation assessment technology field, and especially relates to a nuclear power plant safety operation assessment method based on an entropy evaluation method and a matter-element extension method. Aiming at the development and safety operation condition of the nuclear power in our country, in order to realize comprehensive and systematic assessment for the nuclear power plant safety operation condition, the present invention provides a nuclear power plant safety operation assessment method based on an entropy evaluation method and a matter-element extension method. The method comprises: establishing a nuclear power plant safety operation condition index system, constructing a matter-element extension model to obtain association degree of each index on related assessment grades, combining the association degree and the entropy evaluation method, and solving a weighting comprehensive association degree so as to determine the assessment grade of the safety operation condition of the nuclear power plant. The nuclear power plant safety operation assessment method based on the entropy evaluation method and the matter-element extension method realizes classified assessment of each index of the safety operation condition while realizing comprehensive assessment of the whole operation condition of the nuclear power plant and takes the actual data in the assessment process as a basis so as to overcome the subjectivity of a fuzzy comprehensive assessment model and allow the assessment result to be more practical and reliable.

The invention provides the calculating method and system of the ultimate recoverable reserves of shale gas reservoirs. The method comprises the following steps of S1, acquiring the characteristic dataof the shale gas reservoirs, wherein the characteristic data includes the porosities of the shale gas reservoirs, permeability, a completion method, a drilling parameter, a crack length and flow conductivity; and S2, inputting the characteristic data into a trained machine learning model and acquiring the predicted value of the ultimate recoverable reserves of the shale gas reservoirs. In the invention, known historical data is fully used, the machine learning model is established without any hypotheses, the characteristic data closely related to the ultimate recoverable reserves of the shalegas reservoirs is input into a trained support machine learning model so as to acquire the predicted value of the ultimate recoverable reserves of the shale gas reservoirs, and the acquired predictedvalue accords with the real rule of the shale gas reservoirs so that the assessment result of the ultimate recoverable reserves is real, reliable and accurate.

The invention relates to a method for evaluating the reliability of the performance state of a reciprocating compressor. The method comprises the following steps of: determining a factor set U, wherein the factor set is a set formed by taking various factors influencing an evaluated object as elements, and the comprehensiveness, sensitivity, chanciness and stability of indexes are required to be taken into consideration when the indexes are selected; establishing a weight set A, and giving a corresponding weight to each factor, wherein the weight set is required to meet conditions of normalization and non-negativity; determining a remark set V, wherein the remark set is a classic set consisting of possible evaluation results of the evaluated object, the number m of remark grades is more than 3, but less than or equal to 9 and is an odd number; evaluating a single factor, and establishing a fuzzy relation matrix R; after the factor weight set A and the evaluation matrix R are determined, obtaining a fuzzy comprehensive evaluation set B according to the multiplying operation of the fuzzy matrix; and processing the evaluation indexes by a maximum membership grade method or a weighted averaging method. The method is simple and practical and is easy to popularize and apply.

The invention discloses a combined weighting method in the evaluation of educational informatization level based on the sum of squared deviations, specifically: setting evaluation indicators and evaluation grades for the objects to be evaluated; The scoring value of the index; according to the evaluation results of the importance of each evaluation index by each expert, calculate the weight of each evaluation index to form the subjective weight vector of the index; determine the objective weight vector of the index according to the scoring value of each index; according to the deviation square According to the sum principle, the index combination weight vector is determined; according to the combination weight vector and the index score value, the specific education informatization score value is obtained by using the linear weighting method. The present invention also provides a system for realizing the above method. The invention fully and systematically considers the subjective factors and objective factors, makes the evaluation result more accurate, and realizes the effective evaluation of the educational informatization level.

The invention belongs to the technical field of soil fertility evaluation, and discloses a method for evaluating the soil fertility of a purple paddy soil, comprising the following steps: S1) obtaining the value of each soil index in the soil fertility index, and the value of each soil index in the soil fertility index is obtained, and respectively calculating the membership value and the weight coefficient of each soil index according to the value of each soil index; and S2) calculating the comprehensive index value of the soil fertility used for evaluating the soil fertility according to themembership value and the weight coefficient of each soil index. The soil fertility index is composed of soil indexes as follows: bulk density, ph, organic matter, total nitrogen, total phosphorus, total potassium, alkali-hydrolyzable nitrogen, available phosphorus, available potassium, cation exchange capacity, microbial biomass carbon, microbial biomass nitrogen and relative yield. The method for evaluating the soil fertility of a purple paddy soil has the characteristics of comprehensive and reasonable selection of soil evaluation indexes, and realizes comprehensive evaluation of the soil fertility and the productivity.

The invention relates to a method for performance index prediction and coverall quality evaluation of sinter. The method includes the steps that 1, all performance indexes of overall quality evaluation of the sinter are determined, and an important influence parameter corresponding to each performance index is determined according to a grey relational degree method; 2, two independent prediction models are established for each performance index, wherein the prediction models are used for predicting performance index values; 3, for each performance index, weights of predicted values obtained through the two independent prediction models are determined based on an information entropy method, and then a predicted value of each performance index, integrating the two prediction models, of the sinter is obtained; 4, the obtained predicted value of each performance index, integrating the two prediction models, of the sinter is overall evaluated to obtain the quality level of the sinter. Compared with the prior art, the predicted values are accurate, and the evaluation result is reliable.

The invention discloses a short-term monitoring and bearing capacity evaluation method for existing bridges, and belongs to the technical field of highway engineering detection. The method comprises determining a loaded verification coefficient by a quasi-static equivalent load test; determining the static dynamic characteristics of a bridge by a dynamic equivalent load test and an operation loadtest, wherein the quasi-static equivalent load test includes the determination of a test type, the determination of an equivalent vehicle and the installation and commissioning process of a sensor; performing the equivalent load test and the operation load test; performing data acquisition and data processing. The method provided by the invention has less investment in practical application, but has high technical added value; has little impact on traffic, can achieve monitoring and evaluation without traffic interruption, and has a large amount of data that can be processed, complete information, and high evaluation accuracy.