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Data monitoring method based on electric power big data

A technology of electric power data and big data, which is applied in the field of data monitoring based on electric power big data, can solve problems such as the inability to determine the source of power grid faults, limit the service quality of the distribution network, and lack of analysis, so as to facilitate call and traceability, and realize timely maintenance , Improve the effect of service quality

Pending Publication Date: 2020-07-24
阿拉拇
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the monitoring parameters of the distribution network include voltage deviation, harmonics, three-phase voltage unbalance, voltage fluctuation and flicker, voltage swell and voltage sag, frequency, etc. The obtained monitoring data generally do not carry the identity information of the monitoring point , and often only monitor a specific parameter, lack of analysis of the correlation of various parameters, and cannot automatically determine the source of power grid faults, which limits the improvement of distribution network service quality to a certain extent

Method used

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  • Data monitoring method based on electric power big data
  • Data monitoring method based on electric power big data
  • Data monitoring method based on electric power big data

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] Such as figure 1 As shown, a data monitoring method based on electric power big data includes the following steps:

[0031] S1. Collect power data at fixed points based on the target data acquisition module, and complete the preprocessing of the power data; each target data acquisition module is equipped with an RFID chip and CPLD; the sensor combines the collected target data with the identity data contained in the RFID chip Input CPLD together, complete the preprocessing of data through CPLD;

[0032] S2. Run the preset calculation formula / model based on Hadoop to achieve the acquisition of target parameters;

[0033] S3. Complete the arrangement of target parameters based on the preset data standardization model, and construct a source power data hyperlink for each target parameter to obtain the target parameter set; the power data monitoring model adopts the Inception_V3 model, based on historical power data and its The corresponding evaluation results are obtaine...

Embodiment 2

[0036] Such as figure 2 As shown, a data monitoring method based on electric power big data includes the following steps:

[0037] S1. Collect power data at fixed points based on the target data acquisition module, and complete the preprocessing of the power data; each target data acquisition module is equipped with an RFID chip and CPLD; the sensor combines the collected target data with the identity data contained in the RFID chip Input CPLD together, complete the preprocessing of data through CPLD;

[0038] S2. Run the preset calculation formula / model based on Hadoop to achieve the acquisition of target parameters;

[0039] S3. Complete the arrangement of target parameters based on the preset data standardization model, and construct a source power data hyperlink for each target parameter to obtain the target parameter set; through the motor power data hyperlink, the source corresponding to the target parameter can be realized viewing of power data;

[0040] S4. Realize...

Embodiment 3

[0043] Such as image 3 As shown, a data monitoring method based on electric power big data includes the following steps:

[0044] S1. Collect power data at fixed points based on the target data acquisition module, and complete the preprocessing of the power data; each target data acquisition module is equipped with an RFID chip and CPLD; the sensor combines the collected target data with the identity data contained in the RFID chip Input CPLD together, complete the preprocessing of data through CPLD;

[0045] S2. Run the preset calculation formula / model based on Hadoop to achieve the acquisition of target parameters;

[0046] S3. Complete the arrangement of target parameters based on the preset data standardization model, and construct a source power data hyperlink for each target parameter to obtain the target parameter set; through the motor power data hyperlink, the source corresponding to the target parameter can be realized viewing of power data;

[0047] S4. Realize ...

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Abstract

The invention discloses a data monitoring method based on electric power big data, and the method comprises the following steps: S1, carrying out the fixed-point collection of electric power data based on a target data collection module, and completing the preprocessing of the electric power data; S2, operating a preset calculation formula / model based on Hadoop, and obtaining target parameters; S3, completing the arrangement of the target parameters based on a preset data standardization model, and constructing a source power data hyperlink for each target parameter to obtain a target parameter set; and S4, running a preset power data monitoring model based on Hadoop to realize evaluation of the target parameter set, and outputting a corresponding evaluation result. Automatic monitoring ofthe power grid operation state is realized so that rapid positioning of the fault source can be realized.

Description

technical field [0001] The invention relates to the field of electric power monitoring, in particular to a data monitoring method based on electric power big data. Background technique [0002] With the in-depth development of distribution network service quality improvement work, higher requirements are put forward for the power distribution quality and power consumption management level of the station area. At present, the monitoring parameters of the distribution network include voltage deviation, harmonics, three-phase voltage unbalance, voltage fluctuation and flicker, voltage swell and voltage sag, frequency, etc. The obtained monitoring data generally do not carry the identity information of the monitoring point , and often only monitors a specific parameter, lacks the analysis of the correlation of various parameters, and cannot automatically determine the source of the grid fault, which limits the improvement of the service quality of the distribution network to a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/00G06Q50/06G06K9/62
CPCG06Q10/06395G06Q10/20G06Q50/06G06F18/2411
Inventor 阿拉拇
Owner 阿拉拇
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