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Method for obtaining fault solution based on big data

A solution, big data technology, applied in the direction of instruments, character and pattern recognition, computing models, etc., can solve the problems that users cannot obtain recommended solutions, and achieve the effect of enhancing generalization ability and efficient training models

Inactive Publication Date: 2018-02-09
SICHUAN CHANGHONG ELECTRIC CO LTD
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a method for obtaining fault solutions based on big data, and solve the problem that users cannot obtain recommended solutions when a device fails

Method used

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  • Method for obtaining fault solution based on big data
  • Method for obtaining fault solution based on big data
  • Method for obtaining fault solution based on big data

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Embodiment Construction

[0016] Random forest is to build a forest in a random way. There are many decision trees in the forest. There is no connection between each decision tree in the random forest. When a new input sample enters, let each decision tree in the forest make a judgment separately to see which category this sample should belong to, and then see which category is selected the most, and predict this sample for that category.

[0017] Each classification tree in the random forest is a binary tree, and its generation follows the top-down recursive splitting principle, that is, the training set is divided once from the root node; in the binary tree, the root node contains all training data, according to the node Purity minimum principle, split into left node and right node, which respectively contain a subset of training data, continue to split according to the same rules, until the branch stop rule is met and stop growing.

[0018] After the training set is input, each area is recursively ...

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Abstract

The invention relates to the technical field of big data application, discloses a method for obtaining a fault solution based on big data, and solves the problem that a user cannot obtain a recommended solution when equipment has a fault. The method comprises the steps of collecting a fault model of the equipment in history and a corresponding fault solution, and loading collected data as trainingdata to a big data platform; for the current equipment, measuring the efficiency of a decision tree algorithm and the efficiency of a random forest algorithm, and performing adjustment and optimization on the algorithms and parameters of a decision tree and a random forest; performing multi-time sampling with replacement for the training data to generate multiple required samples, and performingtraining on the samples to generate the corresponding decision tree; and performing voting on the current fault solution of the equipment by utilizing a decision forest to obtain a voting result, anduploading the current fault model and the corresponding fault solution to the big data platform. The method is suitable for fault solving of household appliances.

Description

technical field [0001] The invention relates to the technical field of big data applications, in particular to a method for obtaining fault solutions based on big data. Background technique [0002] Now the electronic products and electrical appliances we use are becoming more and more intelligent, making our life more convenient and faster. We have gradually become accustomed to the convenience and quickness brought by these electrical products in our lives, but when these electrical products fail, we as users are helpless, and the occurrence of the failure has brought us inconvenience, and from failure to repair It often takes a while to wait. The processing time of the fault report, the judgment time of the maintenance personnel, and various queuing times all make it impossible to complete the maintenance work in a very short time. But now in an era where everything is high-speed, the efficiency of doing something is a very important indicator. Therefore, whether the a...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N99/00
CPCG06N20/00G06F18/24323
Inventor 曹梦麟
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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