35results about How to "Science of Assessment Results" patented technology

The invention discloses an integrated risk assessment method for calculating the operation uncertainty of an electric transmission line. The integrated risk assessment method includes the following steps: (1) identifying and collecting characteristic factors for causing operation risks of the electric transmission line, determining risk characteristic indexes, and building an operation risk assessment index set of the electric transmission line, (2) fusing expert advice weights with a fusion theory, (3) using uncertain rational numbers to calculate reliability distribution to determine risk weights, and combining the risk weights and the fused expert advice weights in the step (2) to calculate integrated risk weights of the risk assessment index set, and (4) calculating a final integrated risk value in cooperation with section judgment matrixes, processing results, and judging risk levels. By means of the integrated risk assessment method, a subjective and objective analytical method is used in a combined mode, powerful supports are provided for finding potential operation risks as soon as possible, reducing the possible risks of line operation and reducing risk operation losses, and the integrated risk assessment method is the premise and the guarantee of scientifically and reasonably managing the risks and making decisions.

The invention discloses a data-driven complex electromechanical system service quality state evaluation method. Taking DCS state monitoring data and system service management data reflecting the system service quality state as the basis and depending on an information fusion theory, the data-driven complex electromechanical system service quality state evaluation method can perform real-time evaluation and early warning on the complex electromechanical system service quality state of an enterprise, and can perform early warning prevention on possible accidents in advance, and can assist scientific maintenance and repairing so as to improve the safety production level of the enterprise.

The invention discloses a patient rehabilitation rating scale generation method, which comprises the following steps of creating patient file information or opening the created patient file information, selecting rating items, calling test questions in a database, and generating test rating paper; after the test is completed, calculating rating results, entering and submitting the rating conclusion, and transmitting the rating conclusion to the database to be stored; calling a historical rating record of a patient, and respectively generating a curve graph of the rating record and a curve graph of the historical rating record in the same coordinate axis. The invention also discloses a patient diagnosis and rehabilitation rating scale generation system.

The invention provides a building fire control safety big data health degree assessment method based on AHP (Analytic Hierarchy Process). The method comprises the following steps that: S1) collectingand obtaining all data of a fire control system; S2) classifying all fire control detection item data according to different system categories, and meanwhile, giving one weight number m to a system which may be added into a fire control safety system in the future; S3) utilizing an expert scoring model to determine fire control system index weight: S1: establishing the expert sorting model, and S2: processing a level comparison answer; S4) utilizing the AHP to determine the fire control system index weight: S1: determining the hierarchical structure of the model, S2: comparing a scale, and pairwise comparing a matrix, and S3: verifying a result; and S5) determining a building fire control safety health degree score. The method provided by the invention is based on a statistical theory andis combined with a latest data mining theory implementation method, an expert scoring assessment and the AHP are adopted, historical data is taken as a model construction basis in advance, and a quick, scientific and objective assessment result can be obtained.

The invention discloses a non-standard part supplier manufacturing capability analysis method and device based on the analytic hierarchy process. The method comprises steps that an analysis indicatordatabase is constructed, including multiple analysis indicator grades and corresponding analysis indicators; demands of a demand side are acquired to construct an evaluation model, including multipleanalysis indicator grades and analysis indicators; importance measure comparison of the analysis indicators is carried out for the analysis indicators grade by grade; an analysis indicator determination matrix is constructed step by step for the analysis indicator grades, conditions satisfying acceptable consistency are further determined, scoring rules and scores for each analysis indicator are further acquired, and effect scores are acquired through weighting; the effect scores of each analysis indicator are added to acquire the final evaluation score of each supplier; the final scores of the suppliers are ordered according to ordering rules. The method is advantaged in that through constructing the analysis indicator database, the corresponding evaluation model is rapidly and accuratelydetermined according to specific conditions of the demand side, and supplier evaluation accuracy and the speed are enhanced.

The invention discloses an intelligent substation design scheme comprehensive assessment method, and relates to the field of an intelligent substation design scheme comprehensive assessment method. The method comprises the following steps: determining parameters in a safety effectiveness cost evaluation index model from intelligent substation design schemes; determining distribution of random variables in the model; determining weight of each cost index through a fuzzy analytical hierarchy process, and carrying out normalization processing; and calculating safety effectiveness cost evaluation index values through a Monte Carlo method, and selecting the intelligent substation design scheme corresponding to the minimum safety effectiveness cost evaluation index value as an optimal scheme. The method takes overall considerations of factors of safety, effectiveness and cost in the early design stage of an intelligent substation, solves the problem of incomprehensive consideration in the past scheme evaluation, can carry out scientific and reasonable evaluation on comprehensive attributes of the intelligent substation, provides reference for planning and construction of the intelligent substation, and is suitable for actual engineering application.

The invention discloses a method used for crude oil long-distance pipeline environment risk evaluation. The method comprises the following steps that: establishing the scoring table of a crude oil long-distance pipeline failure possibility, identifying main environment risk factors which can cause crude oil long-distance pipeline failure, making a qualitative and quantitative definition on each risk factor, endowing a corresponding score, and according to the synthesis score situation of each factor, dividing the pipeline failure into high, middle and low levels; establishing environmental consequence level division, and according to the level of sensitivity of the surrounding environmental receptor of the crude oil long-distance pipeline, dividing the environmental consequence which may be caused by pipeline leakage into three levels of being severe, more severe and slight; and establishing a crude oil long-distance pipeline environment risk evaluation matrix, and dividing the pipeline environment risk level into three levels, including a low environment risk level, a medium environment risk level and a high environment risk level. By use of the method, the environment safety level of the long-distance pipeline is comprehensively evaluated, an enterprise can be guided to carry out crude oil long-distance pipeline environment risk evaluation work, and an evaluation result is more scientific and comprehensive.

The invention discloses a non-contact psychological state prediction method. The psychological state of a user is evaluated by analyzing historical psychological texts, image data and house-tree-person data of the user in unit time; the real psychological state of the user is obtained, and the evaluation result and the corresponding countermeasure suggestion are fed back in time, so that the usercan visually know the current psychological state of the user, and the user can conveniently carry out self-adjustment or seek medical advice in time so as to achieve the psychological health state.

The invention provides a light rail cross wind information collecting and early warning system comprising a device for collecting cross wind information, a device for converting current signals/numerical signals, a device for generating a dynamic cross wind disaster risk reference threshold, a device for controlling train speed, a storage device and a control device. A control module serves as a core of the whole system, on the one hand, controls the operation of each device above, and on the other hand, is used for being connected with an external device such as an external computer device toachieve communication and control. In the light rail cross wind information collecting and early warning system, the reference threshold for cross wind disaster risk assessment is generated dynamically; by combination with the historical disaster occurrence situation, the historical situation is updated continuously after the latest warning occurs, so that a comparison is made with historical data, and thus the risk assessment of a region is considered more perfectly and scientifically. The invention also provides a light rail train cross wind information collecting and early warning method.

The invention discloses a remote sensing satellite stereoscopic image elevation precision quantitative evaluation method. The method comprises the following steps: quantitatively evaluating a satellite stereoscopic image elevation positioning error caused by an attitude measurement data error in a satellite image imaging process; a satellite stereo image elevation positioning error caused by an orbit measurement data error in a satellite image imaging process is quantitatively evaluated; a satellite stereo image elevation positioning error caused by a time synchronization error in a satellite image imaging process is quantitatively evaluated; a satellite stereo image elevation positioning error caused by a geometric internal calibration result error in a satellite image processing process is quantitatively evaluated; a satellite stereo image elevation positioning error caused by a geometric external calibration result error in a satellite image processing process is quantitatively evaluated; and comprehensively evaluating the overall influence of various errors on the elevation accuracy of the stereoscopic image in the satellite image imaging process and the satellite image processing process, and obtaining the final elevation positioning error of the satellite stereoscopic image, namely the quantitative evaluation result of the elevation accuracy of the satellite stereoscopic image.

The invention discloses a manufacturing industry information quantitative analysis method and device based on an analytic hierarchy process, and the method comprises the steps: constructing an analysis index database for evaluating manufacturing industry information and a plurality of analysis index levels, wherein each analysis index level comprises a plurality of analysis indexes; acquiring a demand of a demand side for manufacturing industry information to construct an evaluation model, and matching the demand with the analysis indexes in the analysis index database step by step; comparinganalysis index importance measures in pairs step by step; constructing a judgment matrix step by step, and judging whether the judgment matrix meets an acceptable consistency condition or not; obtaining scoring rules and scores of the analysis indexes, and performing weighting to obtain effect scores; adding the effect scores to obtain final evaluation scores; and sorting the final evaluation scores according to a sorting rule. According to the invention, the analysis index database is constructed in advance, and the corresponding evaluation model is selected according to the specific situation of the demander for quick and accurate judgment, so that the accuracy and speed of manufacturing industry information evaluation are improved.