An artificial intelligence electric power first-aid repair system and method based on big data

A technology of electric power emergency repair and artificial intelligence, applied in database query, data processing application, structured data retrieval, etc., can solve problems such as insufficient business support ability of electric power emergency repair personnel, restricting service experience, time-consuming and mobile phone memory, etc., to achieve reduction The effect of repeated fault dispatch, streamlining operation steps, and reducing processing time

Pending Publication Date: 2019-06-04
STATE GRID SHANDONG ELECTRIC POWER COMPANY RIZHAOPOWER SUPPLY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] 1. Poor convenience
Customers need to install the APP and register an account before using the APP fault repair function. However, power fault repair is not a function that customers often use. Installing the APP consumes time and mobile phone memory. Customers have resistance, and cumbersome operations restrict the service experience.
[0009] 2. Poor interactivity
The existing online repair method is usually a simple push of time node information. Customers cannot intuitively understand the progres

Method used

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  • An artificial intelligence electric power first-aid repair system and method based on big data
  • An artificial intelligence electric power first-aid repair system and method based on big data
  • An artificial intelligence electric power first-aid repair system and method based on big data

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Embodiment 1

[0054] Such as figure 1 As shown, a kind of artificial intelligence power emergency repair system based on big data provided by the present invention is characterized in that it includes:

[0055] Data information collection module, real-time collection of power equipment, fault repair, weather information, traffic conditions, repair vehicle trajectory, repair processing, service evaluation data;

[0056] Data platform building module, using MapReduce, Hive, HDFS technology to build Hadoop big data platform;

[0057] The learning optimization module, based on the big data platform, uses random forest, decision tree, GBDT, convolutional neural network, hierarchical recursive neural network machine learning and deep learning algorithms to seek rules and knowledge from data, and realize fault image recognition, speech recognition, The basic functions of fault type research and judgment, future fault volume prediction, intelligent order dispatching, and ETA estimation provide acc...

Embodiment 2

[0078] Such as figure 2 As shown, a kind of artificial intelligence electric power emergency repair method based on big data provided by the present invention is characterized in that, comprises the following steps:

[0079] S1: The step of data information collection, real-time collection of power equipment, fault repair, weather information, traffic conditions, repair vehicle trajectory, repair processing, service evaluation data;

[0080] S2: The steps of building a data platform, using MapReduce, Hive, HDFS technology to build a Hadoop big data platform;

[0081] S3: The steps of learning optimization, based on the big data platform, using random forest, decision tree, GBDT, convolutional neural network, hierarchical recursive neural network machine learning and deep learning algorithms to seek laws and knowledge from the data to realize fault image recognition, Basic functions of voice recognition, fault type research and judgment, future fault volume prediction, intell...

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Abstract

The invention relates to an artificial intelligence power repair system and method based on big data, and the system is characterized in that the system comprises a data information collection modulewhich collects data of power equipment, fault repair, meteorological information, traffic conditions, repair vehicle tracks, repair processing, and service evaluation in real time; a data platform building module which is used for building a Hadoop big data platform by applying a MapReduce technology, a Hive technology and an HDFS technology; a learning optimization module which is used for searching rules and knowledge from the data, realizing basic functions of fault image recognition, voice recognition, fault type study and judgment, future fault quantity prediction, intelligent order distribution and ETA estimation, and providing accurate basic information for intelligent decision making; And a decision providing module which is used for providing active decision and reminding servicefor rush-repair personnel through a full-process application voice assistant based on electric power rush-repair full-service scene recognition and prediction, and liberating the hands of the rush-repair personnel.

Description

technical field [0001] The invention belongs to the field of big data application technology, and in particular relates to a big data-based artificial intelligence power emergency repair system and method. Background technique [0002] In the prior art, there are mainly two ways of power failure warranty: [0003] The first method: call for repair through 95598 customer service: [0004] Customers call 95598 for fault repairs. The 95598 customer service center accepts customer appeals, forms a repair work order and sends it to the power supply company for processing. Personnel verify and confirm the location of the fault, carry out emergency repair after on-site investigation and judgment of the cause of the fault, and feedback the emergency repair information step by step after the emergency repair task is completed. [0005] The second method is to report online for repairs through APPs such as Pocket Electric Power: [0006] Customers can self-report faults through APP...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/00G06Q50/06G06F16/24
Inventor 厉建新张世超卢兴旺马先栋于皓杰吴阳杜善慧夏宾王晓军王学军张亮
Owner STATE GRID SHANDONG ELECTRIC POWER COMPANY RIZHAOPOWER SUPPLY
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