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Power grid data parallel processing system based on cloud computing and processing method thereof

A technology of parallel processing and processing methods, applied in data processing applications, special data processing applications, calculations, etc., to achieve timely and accurate operating status, efficient identification and repair effects

Active Publication Date: 2019-09-27
NANJING UNIV OF POSTS & TELECOMM
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, in terms of power grid data preprocessing, there is no in-depth research on applying the programming model to the power grid data preprocessing method and filter processing for parallel programming. Therefore, this method is used for power grid noise data identification and data smoothing processing methods and Practical significance in filtering methods

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  • Power grid data parallel processing system based on cloud computing and processing method thereof
  • Power grid data parallel processing system based on cloud computing and processing method thereof
  • Power grid data parallel processing system based on cloud computing and processing method thereof

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Embodiment Construction

[0034] The power grid system in a certain area has installed a large number of data monitoring devices on the equipment and lines in the process of power generation, power transformation, power transmission, etc. It is assumed that the data on the monitoring devices is to be extracted to analyze the state of the power grid during operation. The algorithm classifies the collected massive power grid data by type, detects the normal production data and abnormal data, and then processes the abnormal data separately. The processing of abnormal data adopts five-point cubic data smoothing algorithm and median filtering algorithm. Use the five-point cubic data smoothing algorithm to remove random errors caused by various reasons during the acquisition process, and use the median value filtering algorithm to overcome pulse interference such as fluctuations caused by accidental factors or bit errors caused by unstable samplers. At the same time, a Hadoop cluster is established, and nois...

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Abstract

The invention discloses a power grid data parallel processing system based on cloud computing and a processing method thereof. The power grid data parallel processing system comprises a storage client, a Hadoop system platform and an output display end. According to the system, the collected power grid noise data is uploaded to a database in a cloud environment through the storage client, the Hadoop system platform reads the noise data, and a distributed computing program is operated to classify the noise data and perform noise reduction processing according to classes; the computing programs include a correlation coefficient-based k-means clustering algorithm, a five-point three-time data smoothing algorithm and a data median filtering algorithm program, and the output display end displays the final processing result. According to the system, the processing efficiency of the mass power grid data and the analysis quality of the power grid data can be improved through the power grid data processed by utilizing the data clustering, smoothing and median filtering algorithms under the cloud computing platform.

Description

technical field [0001] The invention belongs to the technical field of cloud computing data processing, and in particular relates to a cloud computing-based power grid data parallel processing system and a processing method thereof. Background technique [0002] The power system has developed rapidly with the progress of the times, and the growing demand for electricity has also promoted the large-scale and intelligent development of the power system. The development of my country's power system has tended to the world's leading level. However, the safe operation of the power grid plays a particularly important role in the development of the national economy, but at the same time, the characteristics of the power grid are diverse, such as internal factors such as large scale, wide geographical distribution, various types of equipment, and changeable operation modes, as well as various external factors. It poses a serious challenge to the safe operation of the power grid, and...

Claims

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Application Information

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IPC IPC(8): G06F16/27G06F16/28G06Q50/06
CPCG06F16/27G06F16/285G06Q50/06Y02D10/00
Inventor 邓松陈福林岳东付雄葛辉徐雨楠吴新新
Owner NANJING UNIV OF POSTS & TELECOMM
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