53 results about "Continuous evaluation" patented technology

The invention discloses a reservoir classification method based on rock electricity parameters, and belongs to the field of hydrocarbon reservoir evaluation. The method is based on rock electricity experiment theoretical model deduction, a theoretical value range and a value trend of rock electricity experiment data of reservoirs under different pore structures are formed, and reservoir pore structure subareas on a rock electricity data F-phi plate are formed; and corresponding electrical logging data are utilized in combination with rock electricity experiment data and mercury injection capillary pressure curve data to determine rock electricity method quantitative classifications, and the method at least includes: Step 1) establishing a rock electricity method classification bases; Step 2) forming a classification plate; Step 3) establishing a quantitative classification evaluation basis; and Step 4) determining classification grades of the reservoirs. According to the reservoir classification method based on rock electricity parameters in the invention, by checking distribution of the rock electricity data on the F-phi plate and discovering that rock samples of reservoirs of different classes fall on distinguishable different subareas on the F-phi plate, continuous evaluation knowledge can be provided, and a verification effect is good.

The invention discloses a dynamic heat setting value probability distribution predication method of an overhead power transmission line based on quantile regression. The dynamic heat setting value probability distribution predication method comprises the following steps: taking an uncertain factor of a dynamic heat setting value at the next moment and a historical heat setting value as input variables, and establishing a quantile regression function model; determining a mean value and a median of an input sample, and solving a parameter estimated value of the quantile regression function model; substituting the parameter estimated value into the quantile regression function model, and carrying out quantile regression fitting on sample data by adopting a linear condition quantile to solve different quantiles of the dynamic heat setting values of the power transmission line; and carrying out continuous evaluation on the dynamic heat setting values of the power transmission line in the future moment to obtain complete probability distribution of the dynamic heat setting values of the power transmission line in the future moment. With the adoption of the dynamic heat setting value probability distribution predication method, the dynamic heat setting values in the future moment are predicated and the uncertainty of the dynamic heat setting values is described, so that a good point predication value can be obtained, and a fluctuation interval of the dynamic heat setting value is analyzed; and finally, the whole probability distribution is obtained.

The invention relates to a shale reservoir stratum Young modulus and Poisson's ratio obtaining method based on conventional logging data. The method comprises the steps that known logging data are obtained, and continuous evaluation is carried out according to the step size; the Young modulus and Poisson's ratio parameters of a shale reservoir stratum segment are obtained through processing; the Young modulus regional experience parameters Ay and By are determined, the Poisson's ratio regional experience parameters Ap, Bp and Cp are determined, the conventional logging data of a well to be evaluated are obtained, and continuous evaluation is carried out according to the step size; according to the formula, YMOD=Ay*delta T+By, and POIS+Ap*delta T+Bp*rho b+Cp, the shale reservoir stratum YMOD and the shale reservoir stratum POIS are obtained; according to user needs, the Young modulus and Poisson's ratio evaluation values of the target stratum segment of the well to be evaluated or a shale bed segment rock mechanical parameter processing result map is output. The method is applied to 36 shale gas wells of the Jiannan gas field in the Mid-Yangtze region, shale gas fields in the Fuling District and the west Xiang-E region, the obtained Young modulus and Poisson's ratio are closer to an obtained logging value, and the error is smaller than 10 percent.

The invention discloses a strip manganese-base catalyst for the low-temperature denitration of a fixing source. According to the strip manganese-base catalyst, a mixed oxide of Mn and Fe is used as an active component, and anatase TiO2 is used as a carrier; a mass ratio of Mn to Fe to TiO2 in the catalyst is (0.5-1.5):(0.5-1.5):10; and the catalyst is a strip of which the diameter of the cross section is 3 to 5 millimeters. In addition, the invention also discloses a method for preparing the strip manganese-base catalyst. According to the method, toxic components V2O5 are not used, so the strip manganese-base catalyst is safe and non-toxic and has high tolerance on high-content H2O (which is 10 volume percent), and the conversion rate of NO is more than 97 percent at the temperature of 230 DEG C; and the strip manganese-base catalyst has high stability in the 150-hour continuous evaluation process, and the conversion rate of NO can be maintained at about 95 percent.

The invention is suitable for the technical field of computers, and provides an evaluation method and device for a question bank. The method comprises the steps: carrying out the sampling of questions in the question bank according to a preset sampling rule, and extracting a question sample; carrying out the evaluation of the question sample according to a preset evaluation standard, and obtaining an evaluation value; and issuing the question sample to the question bank when the evaluation value reaches a preset value. According to the invention, the question sample is extracted from the question bank, and is evaluated according to the preset evaluation standard. The question sample with the evaluation value reaching the preset value is issued to the question bank. Through continuous evaluation of question samples which are randomly extracted from the question bank, the method continuously updates the questions which cannot reach the evaluation standard in the question bank, guarantees the quality of questions in the question bank, and meets the application demands of a user.

The invention relates to a method for evaluating the quality of a rock stratum while drilling. The method is particularly applicable to evaluating the quality of rock strata in roadway engineering. The method includes determining stratification parameters of surrounding rock of a roadway by means of geological drilling or geological data consultation so as to integrally know characteristics of the stratum of the surrounding rock of the roadway; acquiring drilling parameters by the aid of a detection drilling machine when holes for anchor rods and anchor ropes are drilled in a roadway driving and supporting procedure, processing data of the measured parameters and evaluating the quality of the stratum near the drilled holes; and acquiring continuous data by the aid of the detection drilling machine along with continuous roadway driving, integrating all data of drilled holes to obtain continuous evaluation for the quality of the stratum and providing a corresponding supporting process according to the continuous evaluation for the quality of the stratum. The method has the advantage that the method is a feasible and efficient method for continuously evaluating the quality of the surrounding rock of the roadway without affecting the driving and supporting procedure.

The invention discloses a zero-trust-based power Internet of Things security protection method. The method comprises the steps that an access subject performs identity registration on an identity authentication platform; wherein the access main bodies are incredible main bodies and need to be authenticated through the identity authentication platform every time an access request is initiated; an identity is given to the access subject after passing the identity authentication, wherein each identity corresponds to a corresponding access authority; an access object level is judged, and if the access object level is an important level, ACL permission verification is carried out; in the access process, safety continuous evaluation is carried out in combination with multiple factors such as anaccess subject environment, an operation risk, an external threat and an access context; and the identity of the access subject is dynamically adjusted and the access permission is dynamically adjusted according to the safety continuous evaluation result. According to the invention, the problems of gradual failure of traditional boundary security protection and immature zero-trust security protection are solved.

The present invention discloses a method for identifying a development direction of strike-slip faults in a sedimentary basin. For the technical defects of the lack of data for the identification of the segmentation movement development direction of the fault zone in the sedimentary basin and the disability of continuous evaluation, the present invention proposes a method for identifying a development direction of strike-slip faults inside the basin. According to the method provided by the present invention, based on a large quantity of seismic geological horizons and fault interpretations, the height difference between uplift and drop along different sections of the strike-slip fault zone is measured, the movement direction of each fault block is identified through the height difference change trend pattern, and the developmental movement direction of the strike-slip fault zone can be comprehensively identified; and the method for identifying the development direction of the strike-slip fault zone provided by the present invention is applicable to a large strike-slip fault zone and the local sections in the sedimentary basin, and provides a technical means for the evaluation on the evolution and segmentation of the strike-slip fault zone.

The invention provides an apparatus used for determining thermal contact resistance between a high-temperature steel plate and a die in the process of hot stamping. The apparatus comprises a pressure applying unit, a determination unit and a resistance data acquisition module, wherein the determination unit comprises a sample determination tool, a standard module tool and a standard sample tool, the sample determination tool, the standard module tool and the standard sample tool are respectively connected with the resistance data acquisition module, the pressure applying unit comprises a pressurization device, an upper workbench and a lower workbench, the pressurization device is respectively connected with the upper workbench and the lower workbench, and the sample determination tool comprises an upper tool, a lower tool and a sample fixing tool. The invention also discloses a method used for determining the thermal contact resistance between the high-temperature steel plate and the die in the process of hot stamping. According to the invention, the thermal contact resistance is indirectly obtained by testing a contact resistance on a contact interface, and the problems of low detection precision and incapability of real-time continuous evaluation of the thermal contact resistance of a contact interface during heat transfer process in testing of thermal contact resistance in the prior art are overcome.

The invention provides an exploratory evaluation system and method, and relates to the technical field of computer subject teaching practices and vocational education. The system comprises a receivingunit used for collecting and storing knowledge mastering conditions of students and data obtained after continuous evaluation; an analysis unit used for creating a knowledge point question bank; a management unit used for managing the knowledge point question bank and the knowledge point question bank which is not mastered, eliminating the mastered knowledge points through continuous evaluation,and strengthening the evaluation strength of the knowledge points which are not mastered frequently and repeatedly; and a recombination unit used for arranging and recombining the questions obtained by the analysis unit and generating a customized evaluation scheme. Meanwhile, the invention further provides an evaluation method adopting the exploration type evaluation system. According to the exploration type evaluation system and method provided by the invention, students can more intuitively and clearly know the defects of the students on each skill and knowledge point, so that the learningkey points are more effectively supplemented and enhanced, and the practice ability of the students is quickly improved.

The invention provides a credit risk prediction model training method and a credit risk prediction method, and the method comprises the steps: obtaining credit sample data, and repeatedly executing the following steps until a convergent credit risk prediction model is obtained: inputting sample source data into a convolutional neural network model to obtain a first feature result output by the convolutional neural network model, the first feature result is a continuous evaluation value representing the credit risk occurrence probability corresponding to the sample source data; the first feature result is input into a binary random model, a second feature result output by the binary random model is obtained, and the second feature result is used for randomly generating a dichotomy value representing whether the credit risk corresponding to the sample source data occurs or not; based on a preset loss function, generating a loss function value corresponding to the sample source data through the second feature result and the corresponding label value, and performing parameter adjustment on the convolutional neural network model through the loss function value; the problem of gradient disappearance is avoided, and the training efficiency of the model is improved.

The invention discloses a characteristic evaluation device and a characteristic evaluation method for helical flow fields. The characteristic evaluation device comprises a flow velocity measuring device used for measuring the tangential flow velocity of a helical flow field in a fluid at a measured position, and a controller used for evaluating the characteristics of the produced helical flow field according to the tangential flow velocity. The invention provides a device for real-time continuous evaluation of the characteristics of a helical flow field, which is safe and reliable, highly accurate, easy to use, and low in cost. With the device, the characteristics of a helical flow field produced as needed can be evaluated effectively and accurately.

The invention relates to a multi-target water resource allocation scheme comprehensive evaluation method. The method comprises the following specific steps: step 1, constructing a multi-target water resource allocation scheme evaluation index system; 2, forming a single evaluation method library; step 3, obtaining evaluation values and evaluation sequences under different single evaluation methods; step 4, Spearman grade correlation coefficient test is carried out on a single evaluation result; step 5, obtaining evaluation values and evaluation sequences under different combined evaluation methods; step 6, Spearman grade correlation coefficient test is carried out on the combination evaluation result, whether a termination condition is met is judged, and if yes, an optimal water resource allocation scheme is output; otherwise, regarding the result obtained by each combined evaluation method as the result obtained by the single evaluation method, and turning to the step 5 for continuous evaluation. According to the method, the problems that in the multi-target water resource allocation scheme evaluation process, the evaluation result of a single method is difficult to compete, and the evaluation results of different methods are different are solved.

The invention relates to an electronic complete machine storage life continuous evaluation method and device. According to the electronic complete machine storage life evaluation method, the determination method of the storage life characteristic parameters is clarified by establishing the evaluation model of the electronic complete machine storage life. According to the electronic complete machine storage life evaluation method, a degradation and error back propagation algorithm model is also established, and the model with the minimum error is selected as a storage life prediction model. Andfurther the determined evaluation model of the storage life of the electronic complete machine is combined to obtain the storage life of the electronic complete machine. According to the electronic complete machine storage life evaluation method, a relation model between the storage life characteristic parameters and the storage life and reliability is established, and an important foundation islaid for effectively evaluating the product storage life.