9 results about "Composite indicator" patented technology

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 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 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.

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 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.

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.