23 results about "Composite indicator" patented technology

A system for increasing the accuracy in summarization techniques is disclosed. The system generates a set of summaries for text. The system determines a label for each summary based on a set of composite metrics. The label for the summary indicates the truthfulness and faithfulness of the summary with respect to the text. The system determines that more than a threshold number of the set of composite metrics indicate that a first summary is assigned with a first label. In response, the system adds the first summary paired with the text as a positive sample to a dataset. The system determines that more than a threshold number of composite metrics indicate that a second summary is assigned with a second label. In response, the system adds the second summary paired with the text as a negative sample to the dataset. The system trains a summarization algorithm with the dataset.

The invention discloses a role playing dimension implementation method and system, and relates to the technical field of data processing. Comprising the steps that a meta-model of a dimension model related to a role playing dimension is created, the meta-model comprises five types of data tables, a role playing dimension name is selected from a role playing dimension name source according to requirements, when the role playing dimension name is different from a physical dimension table name, it is considered that the dimension corresponding to the role playing dimension name is the role playing dimension, and the role playing dimension is selected from a physical dimension table name; when the related dimension of one index is displayed, the role playing dimension name is used for replacing the physical dimension name to display the actual business meaning of the dimension, when the dimension is selected to summarize the indexes, the role playing dimension name is used for constructing a dynamic SQL, and when the composite index is analyzed, the actual business meaning of the dimension is displayed. When multiple indexes are analyzed in parallel, if the facts where the polyatomic indexes forming the composite indexes are located are all associated with the same physical dimension, the composite indexes are summarized through the physical dimension, and when the multiple indexes are analyzed in parallel, if the facts where all the indexes participating in analysis are located are all associated with the same physical dimension, the multiple indexes are summarized through the physical dimension; and the associated dimension list is displayed by using the physical dimension name, so that confusion caused by different role names is avoided.

Systems and methods of determining composite indices such as, e.g., health, safety, and performance indices, of an enclosure from weighted values of contributing metrics including sensor data and / or controlling one or more building systems based on the composite indices.

The invention provides a method for evaluating an electricity-hydrogen comprehensive energy system. The method comprises the following steps of: constructing an evaluation standard according to a multi-dimensional comprehensive index; converting the multi-dimensional comprehensive index into a triangular intuitionistic fuzzy number, and performing normalization processing on the triangular intuitionistic fuzzy number; the subjective weight of the triangular intuitionistic fuzzy number is calculated through an optimal and worst method; the objective weight of the triangular intuitionistic fuzzy number is calculated through a CRITIC method; fusing the subjective weight and the objective weight through a game theory model to obtain a final weight; and based on the final weight, sorting the alternative schemes through a multi-attribute boundary approximation comparison method to obtain an evaluation result. According to the method, a comprehensive evaluation system based on fuzzy comprehensive evaluation is constructed, the evaluation index subjective and objective combination weighting method is constructed by introducing the game theory idea, the rationality and reliability of weight quantification are improved, and a reliable basis is provided for planning and decision making of a comprehensive energy system.

The invention discloses a traffic energy fusion hub site selection model modeling method based on multi-dimensional potential, and belongs to the technical field of hub site selection related to test development. The problems that in the prior art, a traditional traffic energy fusion hub site selection model modeling method is insufficient in quantification precision, dynamic updating is difficult, and long-term prediction deviation exists are solved. According to the method, spatial correlation modeling and economic activity density calculation are carried out to obtain regional economic potential; constructing an objective function to obtain a composite index, and determining traffic accessibility by comparing candidate site selection points with non-added site selection points; determining the weight of each level index, and obtaining the land potential through weighting calculation; constructing a dynamic system measurement model, and determining urban development potential; and carrying out standardization and weighting processing on the score result of the potential to obtain a final site, and completing the calculation of the comprehensive score of the multi-dimensional development potential. The method effectively improves the long-term accuracy of urban development benefit prediction, and can be applied to hub site selection.

This invention discloses a method and system for implementing role-playing dimensions, relating to the field of data processing technology. It includes: creating a meta-model of dimension models related to role-playing dimensions, the meta-model comprising five types of data tables; selecting role-playing dimension names from their sources according to requirements; when a role-playing dimension name differs from a physical dimension table name, the dimension corresponding to the role-playing dimension name is considered a role-playing dimension; when displaying the related dimensions of an indicator, using the role-playing dimension name to replace the physical dimension name to demonstrate the actual business meaning of the dimension; when summarizing the indicator using selected dimensions, constructing dynamic SQL using the role-playing dimension name; when analyzing composite indicators, if the facts of the multi-atomic indicators constituting the composite indicator are all associated with the same physical dimension, then the composite indicator is summarized using that physical dimension; when performing parallel analysis of multiple indicators, if the facts of each indicator involved in the analysis are all associated with the same physical dimension, then the multiple indicators are summarized using the physical dimension; and displaying the list of related dimensions using the physical dimension name to avoid confusion caused by different role names.

The invention belongs to the technical field of intelligent manufacturing, and particularly relates to a mesh process route-oriented similarity measurement method and application thereof in CAPP (computer-aided process planning), and the method comprises the following steps: step 1, process information analysis and quantification: converting a mesh process route into a linear process route set form, local element information and set overall information in a linear process route set are analyzed on the basis; the local element information refers to common information between linear process routes in a set, and comprises similarity between processes, a sequential relationship and process repetition frequency; the set overall information comprises the same process route number and the structure complexity; and step 2, integration and fusion of intermediate similarity: synthesizing the four different intermediate similarity measures into a composite index through a KM algorithm and a PCA method. According to the method, various kinds of process information of the net-shaped process route can be quantified through reasonable similarity design, and net-shaped process route similarity measurement with finer granularity and higher sensitivity is achieved.

The invention discloses a carbon electrode process control method and system, and the method comprises the steps: carrying out the secondary index division of multi-source data indexes of a carbon raw material, and constructing a comparable data space of the indexes of the raw material; establishing a comprehensive index system based on the comparable data space, and constructing a two-stage linear weight coupling structure based on the comprehensive index system to form an index fusion weight vector; based on the index fusion weight vector, constructing a multi-path evaluation decision model, and performing weighted calculation on each index in the comparable data space according to the index fusion weight to generate a corresponding sorting result; based on the sorting result, establishing a standard reaching probability prediction model, and correcting the sorting result according to the standard reaching probability; based on the corrected sorting result, unification processing of the process window is achieved, and a process parameter map is constructed; and carrying out process execution optimization and process monitoring on the carbon electrode production process based on the process parameter atlas. According to the method, the stability and reusability of the carbon electrode process decision are improved.

This invention relates to the field of intelligent manufacturing and industrial data analysis technology, specifically to a method, system, and storage medium for identifying production bottlenecks based on multi-dimensional data fusion. The method includes: acquiring production data and constructing a multi-dimensional data vector; updating the weights of a linear prediction model based on the multi-dimensional data vector; performing multi-dimensional data fusion using the updated weights to obtain a comprehensive index value; obtaining a production bottleneck severity score based on the comprehensive index value; determining the production bottleneck status based on the production bottleneck severity score and the comprehensive index value; and identifying factors influencing the production bottleneck based on weight changes. This invention dynamically adjusts the weights using a gradient descent method to score the bottleneck, and dynamically updates the judgment threshold using an exponentially weighted moving average. Finally, it performs multi-dimensional cause analysis by comprehensively considering the weight contribution, change trend, and data anomaly, achieving adaptive and accurate location and cause identification of production bottlenecks.

The invention belongs to the technical field of data analysis, and relates to a performance examination method based on a basic law index center and related equipment, and the method comprises the steps: constructing basic index data according to agent commission data; processing the basic index data, calculating assessment period data of each agent in each assessment scene, and associating the assessment period data with the comprehensive index data; slicing the comprehensive data set according to the assessment period data; summarizing index values of each person and each team in each assessment period according to the comprehensive data set sliced by the multi-dimensional summarizing algorithm; and performing calculation conversion operation on the index value of the summarized result data according to an assessment standard and a rule engine to obtain assessment result data. Through the technical means of accurate data collection, comprehensive index construction, efficient calculation processing, flexible configuration adjustment and the like, accurate, comprehensive and efficient evaluation of the performance of the agent is realized, and powerful support is provided for performance assessment management of an enterprise.

The invention provides an enterprise data capitalization level assessment method and device, equipment and a medium, effectively provides an effective enterprise data capitalization level assessment scheme, and solves the problems that an existing assessment scheme is insufficient in scientificity and low in accuracy and cannot be applied to actual enterprises. The method comprises the following steps: determining a plurality of influence factors influencing the enterprise data capitalization level, establishing an asset analysis model based on each influence factor, and obtaining a plurality of indexes corresponding to the plurality of influence factors; respectively obtaining a first-level index weight and a second-level index weight based on the plurality of evaluation dimensions, and fusing the first-level index weight and the second-level index weight to obtain a comprehensive index weight; establishing a multistage evaluation parameter set and a fuzzy evaluation matrix; and calculating an enterprise data capitalization level score based on the fuzzy evaluation matrix corresponding to each influence factor and the weight vector of the comprehensive index weight so as to determine the enterprise data capitalization level of the enterprise.

The invention relates to a novel electricity market operation comprehensive monitoring method and device and a storage medium, which are applied to the technical field of market participation good degree comprehensive evaluation, and comprise the following steps: determining the weight of each comprehensive index based on the accumulated contribution rate of data through a principal component analysis method, the subjectivity caused by manually setting the weight is avoided, so that the evaluation result is more objective and fair. And secondly, a plurality of original evaluation indexes with correlation can be converted into a few comprehensive principal components, so that the data dimension and the calculation complexity are remarkably reduced while most of original information is reserved, and the efficiency of evaluation work is improved. And finally, for the market subjects with different properties, evaluation index systems conforming to the business characteristics of the market subjects are respectively obtained, so that the evaluation is more targeted and practical.

Case management systems and techniques are disclosed. In various embodiments, searching case instances is facilitated. An indication to create a composite index across hierarchical case nodes comprising a case model is received. Case instance data associated with the case model is used to generate the composite index. The composite index is made available to be used to optimize searches of a plurality of case instances with which the case instance data is associated.

To provide a visualization / determination method and device for quantifying the synergy of M & A, and for achieving quick and consistent Go / No-Go determination by integrating non-finance and finance. The method of claim 1, further comprising: SOLUTION: The method organizes the Business Performance Indicators (KPIs) in the role of Impact / Ease / Speed and normalizes to 0-5 with piecewise linear mapping to obtain an axis score S _ axis. In consideration of the principal axis, an integrated index S _ index is calculated by convex combination of the average of a plurality of axes and the principal axis score. S _ index> = theta is set as a non-financial gate using the determination threshold value theta estimated by learning, and DeltaNPV·IRR (DeltaNPV _ star corrected by a penalty coefficient as needed) obtained by DCF cooperation is integrated with the financial gate to output a final determination. History metadata such as cohort _ id, version information of Method / ParameterLibrary, source, acquisition time, and overwrite identifier are stamped on the output to ensure reproducibility and auditability.SELECTED DRAWING: Figure 6

This application provides a method and system for standardized enterprise data management based on an indicator system, relating to the field of data standardization management technology. The method includes: constructing an enterprise data governance and control system; establishing a hierarchical indicator system framework based on the data governance organizational structure; standardizing the definition of the hierarchical indicator system framework according to data governance procedures and processes, and combining the defined business attributes, technical attributes, and management attributes; building an indicator management platform to manage the hierarchical indicator standardization framework; developing indicator modeling based on a big data platform to construct standard indicator parameters; conducting extended analysis of the standard indicator parameters for business decision-making; and synchronizing multi-level correlation analysis parameters via mobile devices to achieve multi-terminal data synchronization. This application addresses the technical problem of the lack of a unified standardized framework for data management in existing technologies, achieving the technical effect of standardized indicator definition and composite indicator management.

The invention provides a statistical result streaming return method and device for data query and terminal equipment, and the method comprises the steps: after determining a target index needing to be queried, preferentially querying a corresponding first statistical result for a first atomic index serving as a minimum statistical unit in the target index, and feeding back the first statistical result. And for a composite index needing to be calculated in the target indexes, splitting the composite index into a second atomic index, and after a second statistical result corresponding to the second atomic index is queried, calculating a composite statistical result of the composite index according to the second statistical result and feeding back the composite statistical result. According to the method and the device, the technical problem that the final statistical result can be fed back in a long time in the index query process in the prior art is solved in a mode of feeding back the statistical result of the target index in a streaming manner, and the use experience of a user is improved.

This invention belongs to the field of power system dispatching and discloses a method for quantifying the flexibility requirements of power grids across multiple time scales. It uses seasonal generation demand fluctuation indicators and uncertainty indicators to describe the monthly power balance pressure of the power grid; it uses the number of extreme fluctuation days and the volatility of generation demand under extreme conditions to quantify the medium-term power compensation pressure faced by new energy sources due to continuous multi-day extreme fluctuations; and it uses anti-peak-shaving characteristic indicators and intraday fluctuation indicators to describe the regulation pressure caused by the hourly and minute-level intermittent output of new energy sources. By coupling long-term, medium-term, and short-term quantitative indicators, a comprehensive flexibility quantification index is constructed. Analysis of the East China region and its subordinate provincial power grids shows that this invention can effectively identify the flexibility requirements of dispatching operations at different time scales in different power grids, providing accurate decision support for inter-provincial power exchange under a large power grid platform.

The present application relates to the technical field of power market and power system operation management, and particularly relates to a capacity market adaptability evaluation method, which is based on the operation characteristics and demands of the capacity market in the power system, combines multi-dimensional evaluation theory, and realizes quantitative evaluation of the adaptability of the capacity resources by constructing a comprehensive index system including four dimensions of technology, economy, environment and society. The method adopts data acquisition and normalization technology to model key indicators such as capacity adequacy rate, regulation flexibility, carbon emission intensity and market price fluctuation sensitivity, combines weight analysis and comprehensive evaluation model, scientifically calculates the adaptability level of various resources, supports the planning, optimization and policy making of the capacity market, improves the efficiency of market operation and the rationality of resource allocation, overcomes the shortcomings of traditional power market in data processing and evaluation index construction, and provides a theoretical basis and decision support for long-term stable operation of the power system.

The present invention discloses a method for monitoring watershed ecological anomalies based on clustering processing, which includes data collection, watershed ecological mapping, radius optimization, initial cluster center selection, watershed ecological data clustering processing, and watershed ecological anomaly monitoring. The present invention belongs to the field of ecological monitoring, and specifically refers to a method for monitoring watershed ecological anomalies based on clustering processing. This scheme introduces a time weight coefficient to construct a time fusion feature vector to improve the sensitivity to emergencies; by iteratively adjusting the radius, it automatically adapts to the sampling density and improves the monitoring accuracy; introduces a time change factor to construct a composite indicator to select core reference points, objectively emphasizing the most representative core position; introduces sample weights to strengthen anomaly monitoring, and through the guidance of core reference points, continuously adjusts the degree of attention to different indicators to enhance the influence of important ecological variables; updates weights based on indicator stability to distinguish the contribution of different indicators to anomaly monitoring, thereby improving the anomaly monitoring effect.

The invention discloses a supplier portrait construction method and equipment based on multi-source data. The method comprises the following steps: acquiring multi-source data of a target supplier; aiming at the unstructured document data, analyzing based on a document analysis engine to generate document structured information of the target supplier; performing association matching on the document structured information, the internal structured transaction data and the external structured risk data based on the supplier entity identifier, and constructing a multi-source fusion attribute set corresponding to the target supplier; calculating an index evaluation value of the multi-source fusion attribute set in each dimension index based on the supplier quantitative evaluation index system, and obtaining a comprehensive index score through weighted fusion; and according to the index evaluation value of each dimension index and the comprehensive index score, generating individual portrait data of the target supplier. Therefore, through a multi-dimensional index and a dynamic weight strategy, an evaluation result is more fit with a business scene, and refined hierarchical management of the strength and the risk of the supplier is realized.

A system for increasing the accuracy in summarization techniques is disclosed. The system generates a set of summaries for text. The system determines a label for each summary based on a set of composite metrics. The label for the summary indicates the truthfulness and faithfulness of the summary with respect to the text. The system determines that more than a threshold number of the set of composite metrics indicate that a first summary is assigned with a first label. In response, the system adds the first summary paired with the text as a positive sample to a dataset. The system determines that more than a threshold number of composite metrics indicate that a second summary is assigned with a second label. In response, the system adds the second summary paired with the text as a negative sample to the dataset. The system trains a summarization algorithm with the dataset.

A quantitative analysis method for the combined impact of mountain flood gestation background data on mountain flood zoning includes: collecting mountain flood gestation background data of a target area, obtaining a mountain flood zoning result by applying a mountain flood zoning model based on unsupervised machine learning, classifying the mountain flood gestation background data according to its physical meaning, constructing mountain flood gestation background composite indicators respectively for each classification by applying principal component analysis, training a supervised machine learning model through the mountain flood zoning result and the composite indicators to obtain a supervised support model; inputting the supervised support model and all mountain flood gestation background composite indicators into an interpretation model, and quantifying the contribution of each mountain flood gestation background composite indicator in the mountain flood zoning process through the marginal contribution of each mountain flood gestation background composite indicator to the prediction result of the supervised support model, so as to obtain the impact of each mountain flood gestation background composite indicator on the zoning result. The present invention realizes the transparency and quantitative interpretation of the mountain flood zoning result.

This invention relates to the field of meat quality monitoring and preservation technology, specifically to a composite indicator label for the freshness of prepared meat products, its preparation method, and its application. The preparation method includes preparing a preservation layer, preparing an indicator layer, and preparing a composite film using a layer-by-layer casting method. The prepared solution is poured onto a model lined with the indicator film, and the composite indicator label is formed using supercritical drying. Based on the changes in the RGB values ​​of the composite indicator label's color, fuzzy normalization is performed using fuzzy mathematics to make a fuzzy comprehensive evaluation, effectively distinguishing prepared meat products of different freshness levels. The composite indicator label prepared by this invention can effectively distinguish prepared meat products of different freshness levels.