73 results about "Post evaluation" patented technology

The invention provides a metadata-based data quality management method, comprising the steps: establishing a unified data model according to data in a database; configuring metadata according to the established data model; generating checking rules; configuring executive strategies, wherein each executive strategy is bound with one or more than one checking rule, automatically executing the strategies as planned, searching for a target data in the database and storing the target data; generating a report and issuing. According to the method, the enterprise data quality management is carried out on the basis of metadata, data integrity checking rules and data compliance checking rules are automatically generated through analyzing service and management characteristic results of metadata configuration, and beforehand prevention, in-service inspection and ex-post evaluation in data quality management are comprehensively supported by using an automatic method.

A system and method for automated assessment of constrained constructed responses provides for automatic, e.g., programmatic, assessing of a test subject response to a constrained constructed response item or question. In one embodiment, paper test materials with test subject markings thereon are converted to electronic form. Test subject markings are further isolated, for example, by registration, sizing and removal of markings other than a graphic response. The subject markings are further compared with a baseline response, correctness deviation criteria and incorrectness deviation criteria (e.g., correctness, incorrectness, substantial correctness, substantial incorrectness, and so on) from which one or more of a score, further learning or other assessment results may be determined. Cluster analysis or other post-evaluation or post-assessment processing may also be conducted, or re-evaluation or re-assessment may also be conducted.

The invention discloses a grid investment benefit evaluation method based on multiple indexes and multiple levels. The grid investment benefit evaluation method is technically characterized by comprising the following steps of: constructing a grid investment benefit evaluation system comprising a main grid frame, a distribution network sub unit, a dividing specialty and a component voltage level investment benefit index; carrying out simplified processing on the index in the grid investment benefit evaluation system; carrying out unitization processing on the index in the grid investment benefit evaluation system; carrying out index weight calculation on the index in the grid investment benefit evaluation system; and evaluating the investment benefit of each examination object by using a linear comprehensive marking method. According to the method, the grid investment benefit evaluation system is constructed from four levels such as the main grid frame, the distribution network sub unit, the dividing specialty and the component voltage level investment benefit index; the accuracy of the investment evaluation is improved; the comparing and the finding of the problems existing in the grid investment are facilitated; and the grid investment benefit evaluation method can not only be used for post evaluation of the grid investment benefit or used for providing an important decision reference for the grid construction investment direction for the coming year.

A method of programming a bionic ear cochlear implant provides access to the full functionality of the implant, while still providing a simple-to-administer, more reliable, and faster fitting experience for the patient and clinician. The method includes (a) conducting a pre-evaluation stage focused on sorting and identifying bad electrode contacts, reducing fitting time and improving patient performance; (b) conducting a programming stage wherein T and M levels are adjusted based on information derived during the pre-evaluation stage; and (c) conducting a post-evaluation stage wherein wired speech understanding tests are automatically run in order to provide an objective programming choice. The pre-evaluation stage automatically runs a set of objective tests, and then, based on the result of such tests, generates a template for the clinician to use during the programming stage. The objective tests, inter alia, identify and remove bad electrode contacts from the template. The post-evaluation stage quickly runs some unattended wired speech understanding tests that allow objective rather than subjective programming choices to be made.

A highway network traffic investigation data acquisition and analysis application system is composed of a traffic dynamic information auto-acquisition unit and a monitoring unit, wherein the traffic dynamic information acquisition unit is connected with the monitoring unit in virtue of a data transmission network; the working method is divided into a highway network OD data generation unit, a highway network traffic demand analysis and prediction unit, a highway network traffic distribution and network evaluation unit, a highway network planning unit, a highway project feasibility research and post-evaluation unit and a highway network operation management unit. The highway network traffic investigation data acquisition and analysis application system has the advantages of: (1) real-time, accurate and objective acquisition of highway information; (2) displaying the acquired and analyzed traffic information in image form on GIS; (3) providing maintenance management decision and planning construction decision of highways with basic database and theory support; (4) proving the public with main data basis of travel and induction service; (5) comprehensively acquiring data, and effectively and rationally selecting the data information, thereby providing a scientific and standard traffic investigation report.

The invention discloses a city planning implemented ecological security post-evaluation method. The method comprises the following steps of: S1, establishing a comprehensive evaluation index system comprising each index factor which represents a socio-economic factor, a natural ecological factor and an ecological human response factor respectively; S2, performing standardization processing on the index factors according to different sources and characters of index data; S3, generating a spatial data-index standardization layer according to the index factors subjected to the standardization processing; and S4, determining the weight of each index factor and calculating a composite index to obtain a comprehensive evaluation result. The city planning implemented ecological security post-evaluation method has the advantages of improving the city ecological security evaluation and planning system, enhancing the continuity and systematicness, performing visualized processing on the evaluation result by combining relative software and realizing the combination of city ecological planning system regulation and spatial regulation.

The invention discloses a mixed-coal blending combustion prediction system with a post-evaluation system. During mixed-coal blending combustion of various kinds of coal in a power plant, design parameters, structure features and fuel feature data of the power plant are combined to pre-judging a blending combustion scheme for configuring different kinds of coal and blending combustion proportions for a unit, so burning tests can be reduced, environmental protection and safety risks are avoided and operation economy of the unit is improved. Post-evaluation is performed on the scheme about the mixed-coal blending combustion prediction suggestion through operation data of actual blending combustion to verify whether the scheme is feasible. According to the invention, proper, simple and effective decision technical support is provided for research of mixed coal blending combustion of a target power plant and theoretical and application foundation is laid for the development of the mixed-coal blending combustion technology.

The invention relates to a hidden danger checking, governing and supervising method, which mainly solves the problem of poor hidden danger checking, governing and supervising effect in the prior art. The hidden danger checking, governing and supervising method is adopted, a user do hidden danger checking, governing and supervising work through a login hidden danger checking, governing and supervising system; according to a general framework of the login hidden danger checking, governing and supervising system, from the application level, the login hidden danger checking, governing and supervising system comprises an enterprise level hidden danger checking, governing and supervising system, a headquarter business unit level hidden danger checking, governing and supervising system and a headquarter safety supervision authority level hidden danger checking, governing and supervising system; through the division in the management function aspect, the login hidden danger checking, governing and supervising system mainly comprises hidden danger checking, hidden danger reporting and approval, hidden danger precautionary measure making and implementation, hidden danger governing schedule, hidden danger acceptance inspection, hidden danger post-evaluation, hidden danger standing book and statistical statement. The technical scheme better solves the problems, and can be used in the hidden danger checking, governing and supervising.

The invention discloses a post-evaluation method of the construction effect of a power distribution network project, based on a BP neural network. The post-evaluation method includes the steps: S1, establishing an evaluation index system; S2, acquiring base index data and preprocessing; S3, through scoring of experts, obtaining the target scores corresponding to Ntrain training samples; S4, determining the network layer number; S5, determining the network node number; S6, determining a transfer function; S7, selecting a training method; S8, establishing a BP artificial neural network post-evaluation model; S9, setting a training parameter, and training; S10, judging the training effect; S11, inspecting the trained BP artificial neural network post-evaluation model; and S12, observing the fitting effect. The established BP artificial neural network post-evaluation model of the post-evaluation method of the construction effect of a power distribution network project, based on a BP neural network can fully absorb the determination experience of experts so as to save the step of weight determining and scoring, so that the evaluation becomes more concise and clear.

The invention provides a post-evaluation method for comprehensively evaluating power grid science and technology projects. The post-evaluation method includes the following steps of step one, firstly establishing an index set U=(u<1>, u<2>...u<n>) and a judgment set Q=(q<1>, q<2>...q<m>); step two, calculating a comprehensive membership vector using an operator of a generalized fuzzy synthetic operation, and obtaining an ultimate evaluation result according to a membership degree maximum principle. By means of the post-evaluation method, professional experience of industry experts is considered, and subjective judgment with large deviation is avoided, so that arrangement of index weighting is more accurate; during a multi-stage fuzzy comprehensive evaluation process of the power grid science and technology projects, acquiring of index data is normalized by subdividing content options of ground layer indexes, standards for multi-stage fuzzy comprehensive evaluation are unified, and accuracy of evaluation results is guaranteed.

The invention relates to underground engineering construction, in particular to a method for monitoring safety status of a foundation pit. Monitoring points which are capable of mutually corroboratingare arranged on a same section of the foundation pit in the invention method to monitor and obtain monitoring values of each monitoring project when the foundation pit is constructed to the current working condition; the safety status of the foundation pit at present can be quantitatively measured by comparing the monitored data with a limit status; deformation and force condition of foundation pit in next step is obtained through prediction; the safety status of the foundation pit in the next step of construction is evaluated by the way of comparing with the limit status, thus realizing theprediction the of safety status of the foundation pit and transforming the safety status evaluation of the foundation pit from post-evaluation to pre-evaluation. The invention has the advantages thatdynamic monitoring evaluation of the safety status of the foundation pit is realized by replacing absolute evaluation with relative evaluation and combing the data evaluation result obtained by monitoring with evaluation result obtained by adopting prediction; the quantitative monitoring evaluation of the safety status of the foundation pit is realized and the specific risk points are confirmed; the safety status of the foundation pit in the current and in the next step of construction is predicted systematically; the invention has great significance to the safety control over the constructionof the foundation pit.

The invention relates to a bus signal priority necessity analysis method under main line coordination control. The operation characteristics of social vehicles and buses in coordinating subarea intersection groups are comprehensively considered, the analysis method with two-way green wave bandwidth, bus signal priority benefits and the response execution frequency of the bus active priority strategy as comprehensive indicators is provided, the necessity of bus signal priority under main line coordination control is judged, and quantitative support is provided for optimization, implementation,post-evaluation and the like of bus signal priority strategy modes.

The invention relates to an electric power section off-limit control efficiency evaluation method, belongs to the electric power system operation and control field and solves a problem of lack of scientificity and effectiveness of an evaluation method in the prior art as relevant feedback of evaluation on operation of an electric power dispatcher is rare. The method comprises steps that a power grid mode and operation mode data in an evaluation period are acquired; whether section off-limit occurs is determined, if yes, an ideal control strategy is obtained according to an established ideal control model, and the ideal control strategy is taken as an optimal control strategy; the ideal strategy and an actual scheduling strategy are compared, and an evaluation index is calculated. According to the method, an after-action ideal re-scheduling mode is employed, evaluation is carried out according to difference of the optimal control strategy and the actual control strategy. The method is advantaged in that post-evaluation concept is utilized on a section off-limit control management process, and quantitative evaluation on validity of electric power dispatcher actual section control measures is carried out.

The invention relates to a power market price difference contract electric quantity decomposition technology and a decomposition result comprehensive evaluation method. The method comprises the stepsthat annual contract electric quantity is decomposed according to a corresponding annual typical output curve; Decomposing monthly decomposed electric quantity to days through annual monthly decomposition and cross correction in combination with days and electricity consumption of each type of days within a month; On the basis, the daily contract electric quantity is decomposed to each time period, the decomposed electric quantity deviation caused by the maintenance plan is corrected based on a cross correction algorithm, and a financial settlement delivery curve for authorizing the price difference contract electric quantity at each time period is formed; And finally, establishing a post-evaluation index system of contract electric quantity decomposition, and evaluating a decomposition result from four aspects of risk, fairness, economy and rationality. The new electric power market contract electric quantity decomposition method and the post-evaluation model provided by the inventioncan provide a reasonable settlement basis for two parties of electricity generation and purchase, evaluate the advantages and disadvantages of the contract electric quantity decomposition method, andrealize the coordinated operation of the contract market and the spot market.

A method and system (102) is provided for a multi-modal task-oriented dialog management implemented on a computer-based system. The system (102) maximizes the probability of successful task completion after a task is requested (302). Every task is associated with a task model comprising recipes, acts, parameters and modalities. Confidence measures are calculated at various levels for each task. The confidence measures represent the probability of success of the action depending on the user preferences. The most suitable recipe, act, parameter and modality are selected at runtime using the provided confidence measures (304) to maximize the probability of task completion. After each act, confidence measures are modified (312) depending on the user response, and the next suitable act is accordingly selected. Optionally, a post evaluation module (PEM) is provided for monitoring the user response and modifying the formulation for the confidence measures calculation.

The invention provides a workflow control system of project evaluation. The workflow control system comprises a project interim evaluation module and a project post evaluation module. The project interim evaluation module is used for obtaining executing process and state information of a project in a process implementation process and comparing the executing process and state information of the project with a preset evaluation index to obtain and analyze difference information. The project post evaluation module is connected with the project interim evaluation module and used for obtaining an executing result of the project after the project is finished and comparing the executing result with the preset evaluation index to obtain and analyze difference information. By means of the workflow control system, workflow control efficiency can be improved, and requirements of all aspects on information sharing are met.

The invention discloses a photometric-network real-time-correction self-learning ARMA model photovoltaic power prediction method which includes inputting data and obtaining an ARMA (autoregressive moving average model) parameter, that is, model training; inputting optical resource monitoring system data and operating monitoring system data, and correcting a start-up capacity in a real-time manner according to the operating monitoring data; establishing an ARMA model so as to obtain a photovoltaic-power super-short-term prediction result; introducing real-time photometric-station data to carry out real-time correction on the photovoltaic-power super-short-term prediction result; and carrying out post-evaluation on the real-time corrected prediction result and analyzing an error between a prediction value and an actual measurement value and carrying out the model training again if the prediction error is larger than an allowed maximum error. Through introduction of the real-time photometric-station data, real-time correction is carried out on the photovoltaic generation power super-short-term prediction result so that a defect, which exists in the prior ARMA technologies, that a photovoltaic-generation-power super-short-term prediction precision is low is overcome and an objective of high-precision photovoltaic-generation-power super-short-term prediction is achieved.

The invention discloses a forum post evaluation method, device and system. The method comprises the following steps of: a server obtains the contents of a post and the operation information of a corresponding user for the post so as to obtain post features; the post features are subjected to data distribution analysis, and feature transformation is carries out to obtain a feature vector; and a pre-established evaluation model is used for determining an evaluation score according to the feature vector and a weight vector, and the evaluation score is used for evaluating the post. By use of the forum post evaluation method, the post can be quickly evaluated.

The invention discloses a post-evaluation method for a power grid project based on a multi-level extension evaluation method, including S1 establishing an evaluation index system, S2 using an improved analytic hierarchy process and an entropy weight method to combine subjectively and objectively to determine the weight of the evaluation index, and S3 establishing Multi-level extension evaluation model; on the basis of clarifying the types of projects to be evaluated, the evaluation index system is optimized and adjusted so that it can comprehensively reflect the functional effects of substation construction projects; the combination of subjective and objective AHP and entropy weight method is introduced The calculation weight of the algorithm makes the determination of the index weight more reasonable; the multi-level extension evaluation method is used to study the post-evaluation of the function effect of the substation construction project. This method not only does not need to judge each index according to the expert experience. It can also find out the key factors that affect the quality of the evaluation results and the overall development trend of the project, reducing the influence of human subjective factors on the evaluation results, and making the evaluation results more scientific and reasonable.

The invention provides a seaborne anemometry device and a measuring method. The seaborne anemometry device comprises a basic platform, an anemometer tower, a movable fixed platform and a laser radar anemoscope, wherein the basic platform comprises a first platform and a second platform; and the anemometer tower is arranged on the first platform. The laser radar anemoscope is movably arranged on the second platform or the movable fixed platform. The seaborne anemometry device is provided with the basic platform and the movable fixed platform, the anemometer tower is arranged on the basic platform, and the laser radar anemoscope is arranged on the movable fixed platform, so that anemometry information of more vertical levels and more space observation sites can be obtained, and the aims of observation and evaluation of early-stage wind energy resources in a wind power station, measurement of wake effects of fans in different positions after the wind power station is built and operated, post evaluation of the wind power station, and guidance, operation and management are realized.

The invention relates to a post evaluation method of a power distribution network energy-saving reconstruction project. The objective of the invention is to eliminate defects in the prior art. The method includes the following steps that: S1, a power distribution network energy-saving project post evaluation system is built; S2, a hierarchical evaluation analysis model is built; S3, the weights of indexes in various evaluation systems are acquired; and S4, an evaluation result can be obtained through model analysis. According to the post evaluation method of the invention adopted, in the post evaluation process of the power distribution network energy-saving reconstruction project, the content options of bottom-layer indexes are subdivided, so that index data can be standardized, and therefore, the accuracy of the evaluation results can be ensured; the characteristics of power distribution network energy-saving reconstruction, such as adaptability and coordination, are highlighted; and the power distribution network energy-saving project post evaluation system, the evaluation model, evaluation criteria, and the weights of the evaluation indexes are built and analyzed, and the current energy-saving reconstruction level of a power distribution network can be reflected quantitatively from a plurality of angles.

The invention discloses a quantitative analysis method for an establishment scheme of an anemometer tower in the technical field of a wind power technology. The method comprises the following steps of firstly, selecting the anemometer tower with analysis significance from an established wind power plant according to a wind energy resource situation, a wind measurement data time period and a position relation between the anemometer tower and a stand; then dividing the wind power plant into a plurality of cross sections on the basis of a prevailing wind direction and a vertical prevailing wind direction according to the position of the anemometer tower; then carrying out comparison analysis on actually measured data of the anemometer tower on different cross sections and power generation data of a wind power generator; and finally determining the representativeness of the anemometer tower under similar terrain conditions and providing a reference for other similar wind power plant sites with the representativeness as a reference standard. The method has the beneficial effects that the problem of post-evaluation of wind resources after a wind power plant project is put into production is well solved, representative analysis basis for the anemometer tower can be provided for a to-be-developed wind power plant in an adjacent and similar terrain region, a reference for establishment of a position of the anemometer tower is provided, and the method is good in practicability and application prospect.

The invention discloses a post-evaluation method for distribution network rolling planning based on fuzzy analytic hierarchy process. Calculate the impact factor of equipment utilization rate utilization, so as to introduce the equipment utilization rate factor reflecting the actual performance output efficiency on the relevant secondary indicators; finally, according to the weight of the first-level indicators and the second-level indicators, calculate the quantitative value of the first-level indicators and the weight of the second-level indicators The total quantitative evaluation value. In addition, a calculation method of the weight sensitivity of the first-level index of the proposed distribution network rolling planning post-evaluation model is also given, which can show the value range of the first-level index with the same order. In general, the above methods can provide scientific quantitative analysis basis for distribution network planning and investment decision-making.

The embodiment of the invention provides a post-evaluation method for an electric energy substitute item. The method comprises the steps of S1, establishing an electric energy substitute item evaluation system, wherein the electric energy substitute item evaluation system comprises at least one of the subsystems: a construction process evaluation subsystem which is used for evaluating the whole construction process of the electric energy substitute item, a technical performance evaluation subsystem which is used for evaluating the performance of the electric energy substitute item, an economic benefit evaluation subsystem which is used for evaluating the economic benefit of the electric energy substitute item, a social benefit evaluation subsystem which is used for evaluating the social benefit of the electric energy substitute item and an environmental benefit evaluation subsystem which is used for evaluating the environmental benefit of the electric energy substitute item; S2, establishing a level index for each subsystem, wherein each subsystem at least comprises a first-level index, and each first-level index comprises N second-level indexes, and the N is equal to 0, 1, 2 and the like; and S3, evaluating the electric energy substitute item according to the level index and the electric energy substitute item evaluation system.

The invention discloses an ultra-short-term photovoltaic generation power prediction method based on a self-learning composite data source. The ultra-short-term photovoltaic generation power prediction method based on the self-learning composite data source comprises the steps that data are input to enable parameters of an autoregression moving average model to be obtained; input data required by photovoltaic generation power prediction are input into the autoregression moving average model determined according to the parameters of the autoregression moving average model, so that a prediction result is obtained, post-evaluation is conducted on the prediction result, namely the error between a predicted value and a measured value is analyzed, and order determination of the model and estimation of the parameters of the model are conducted again if a predicted error is larger than an allowable maximum error. Key information is provided for new energy power generation real-time scheduling, a new energy power generation day-ahead plan, a new energy power generation monthly plan, new energy power generation capability evaluation and wind curtailment power estimation by predicting the photovoltaic generation power generated during photovoltaic generation. The ultra-short-term photovoltaic generation power prediction accuracy is effectively improved due to the fact the composite data source is introduced, and thus the on-grid energy of new energy resources is effectively increased on the premise that safe, stable and economical operation of a power grid is guaranteed.