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Model training and data analysis method, device and equipment and storage medium

A technology of model training and data analysis, applied in the field of data analysis, can solve problems such as time-consuming and labor-intensive, unable to be applied on a large scale, and limited manpower

Active Publication Date: 2019-07-16
BANMA ZHIXING NETWORK HONGKONG CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

At present, the judgment of these measurement data is completely dependent on the manual judgment of technicians. Only the information transmission process has been optimized and a centralized distribution center has been established. However, due to limited manpower, it cannot be applied on a large scale, and the entire process is time-consuming. It is labor-intensive and cannot quickly realize the interpretation of large-scale time-series data

Method used

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  • Model training and data analysis method, device and equipment and storage medium
  • Model training and data analysis method, device and equipment and storage medium
  • Model training and data analysis method, device and equipment and storage medium

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Embodiment Construction

[0066] Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0067] 【Overview】

[0068] Time series data refers to time series data. Time series data are data columns corresponding to the same indicator (that is, the same feature dimension) recorded in chronological order. Each data in the same data column must be of the same caliber, requiring comparability. Time series data can be period numbers or time points.

[0069] The time-series data mentioned in the present disclosure may be time-series ...

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Abstract

The invention provides a model training and data analysis method, device and equipmen for time series data and a storage medium. The method comprises the steps of constructing a training sample, the training sample comprising one or more pieces of time series data, different pieces of time series data corresponding to different feature dimensions, and each piece of time series data comprising a plurality of pieces of data arranged according to a time sequence; and training a time series data analysis model by using the one or more training samples, wherein the time series data analysis model is used for analyzing the category to which the sample comprising the one or more time series data belongs. Therefore, the automatic interpretation of the time sequence data can be realized by using the trained model.

Description

technical field [0001] The present disclosure relates to the field of data analysis, and in particular to a model training and data analysis method, device, device and storage medium for time series data. Background technique [0002] For the time-series data in many fields, at present, most experienced experts in the industry analyze the generated time-series data through manual interpretation to determine the category to which the time-series data belongs. This manual judgment method has high requirements on human resources, and cannot realize rapid judgment on large-scale time series data. [0003] For example, in the petroleum field, well logging data can provide a large amount of information on the subsurface structure and sedimentary characteristics of subsurface reservoirs. Well logging data is a set of physical quantity data collected in an equidistant manner and recorded in the form of a relational pattern. It is often displayed visually in the form of a set of cur...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06K9/62
CPCG06N3/045G06F18/214Y04S10/50
Inventor 谢志辉盖永波赵钰王骏
Owner BANMA ZHIXING NETWORK HONGKONG CO LTD
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