Internet of things electric automobile charging station system based on image identification of rough set neural network

A charging pile system and neural network technology, applied in the field of the Internet of Things electric vehicle charging pile system, can solve problems such as insufficient image processing functions, and achieve the effects of speeding up convergence, reducing dimensions, and enhancing fault tolerance.

Inactive Publication Date: 2011-11-23
WUXI FANTAI TECH
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AI Technical Summary

Problems solved by technology

However, the current image processing and camera system simply has the function of storing video and audio information, and does not have or has insufficient image processing functions. An algorithm that can enhance image processing and edge detection is needed

Method used

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  • Internet of things electric automobile charging station system based on image identification of rough set neural network
  • Internet of things electric automobile charging station system based on image identification of rough set neural network
  • Internet of things electric automobile charging station system based on image identification of rough set neural network

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Embodiment Construction

[0011] (1) The application of rough set theory in image processing

[0012] In image processing, the applications of rough sets are mainly divided into two categories: one is decision-free analysis, which mainly uses indistinguishable relations and value reduction for image segmentation, enhancement processing and clustering analysis, etc.; The analysis of decision-making mainly includes image features, such as edge extraction, etc., and also involves the preprocessing of original image data, such as image classification. The basic idea is to take the information expressed by each image as a knowledge system, and on this basis, use the concept of attribute reduction, indistinguishable relationship and approximate set in rough sets to enhance image processing and edge detection respectively.

[0013] (2) Using neural network to identify images

[0014] The processing of information by neural network has the characteristics of self-organization and self-learning. The strength ...

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Abstract

The invention discloses an Internet of things electric automobile charging station system based on image identification of a rough set neural network, wherein a rough set is introduced to a neural network fusion model to serve as a prepositional system of a BP (back propagation) network; on the basis of taking the information expressed by each image as a knowledge system, the indistinguishable relationship of the rough set, an approximate set and an attribute reduction concept are utilized to perform enhancement processing and edge detection for the image respectively. By utilizing the technical scheme of the invention, when the system is used for identifying passengers and vehicles, the rough set theory and the neutral network are organically combined into a new fusion model, the real-time performance of the system can be favorably improved and the fault-tolerant capability of the system can also be favorably enhanced.

Description

technical field [0001] The invention relates to an Internet of Things electric vehicle charging pile system, in particular to an Internet of Things electric vehicle charging pile system based on image recognition of a rough set neural network. Background technique [0002] At present, electric vehicle charging facilities are mainly based on charging piles. Generally, one charging pile can only charge one electric vehicle at a time. Secondly, the charging pile covers a small area and can be set up in existing parking lots, shopping plazas and other places that are convenient for electric vehicles to park. The charging pile only provides single-phase 220V AC power, and the electric vehicle needs to be charged by the on-board charger. Since the power of the on-board charger is small, the charging pile generally adopts the slow charging method. If the operating areas such as government official vehicles, enterprise commercial vehicles, and vehicles used in demonstration parks a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/02G06K9/00H02J7/00
Inventor 杨恒王翊李伟林晓
Owner WUXI FANTAI TECH
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