Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Clustering and data sensing method applied to wireless sensor of photovoltaic power station

A wireless sensor and photovoltaic power station technology, applied in wireless communication, services based on specific environments, electrical components, etc., can solve the problems that the photovoltaic power station monitoring system cannot meet the needs of large amounts of data collection, perception and fast and accurate processing, and achieve good scalability , uniform distribution and good scalability

Active Publication Date: 2021-04-16
STATE GRID GASU ELECTRIC POWER RES INST
View PDF12 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to provide a clustering and data sensing method applied to wireless sensors in photovoltaic power plants, so as to solve the problem that the photovoltaic power plant monitoring system based on wireless sensor network cannot meet the collection perception and fast and accurate processing of a large amount of data

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Clustering and data sensing method applied to wireless sensor of photovoltaic power station
  • Clustering and data sensing method applied to wireless sensor of photovoltaic power station
  • Clustering and data sensing method applied to wireless sensor of photovoltaic power station

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0069] A clustering and data sensing method applied to wireless sensors in photovoltaic power plants, the method is divided into the following steps:

[0070] Step A. Establish a clustering model:

[0071] Combining the Sierpinski triangle with the hexagonal cellular topology to establish a new ideal clustering model proceeds as follows:

[0072] (1) The entire area presents a regular hexagon, consisting of several regular triangles. There are a total of N nodes and a sink node. N sensors are randomly and evenly distributed in all regular triangle areas, ignoring the edge irregular areas.

[0073] The area of ​​the above-mentioned regular triangle is used to determine the size of the cluster, that is, to determine the size of the node N. The calculation method of the area of ​​the regular triangle is as follows:

[0074] Assuming that the side length of the equilateral triangle is R, the area of ​​the equilateral triangle is

[0075] Let the node distribution density be λ,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a clustering and data sensing method applied to a wireless sensor of a photovoltaic power station, belongs to the technical field of electric power Internet of Things information sensing, and aims to solve the problem that a photovoltaic power station monitoring system constructed based on a wireless sensor network cannot satisfy acquisition sensing and rapid and accurate processing of a large amount of data. The method comprises two steps of establishing a clustering model and determining an intra-cluster perception data collection scheme. The model established by the invention is applied to photovoltaic power station sensor network topology, can effectively solve the problem of network load energy consumption, has the advantages of fault-tolerant capability, load balance and the like, can balance the network load and save energy consumption, and ensures that photovoltaic power station information is quickly and efficiently sensed, and in processing and application of photovoltaic power station actual data, the effectiveness and the definiteness of the advantages of the method are verified.

Description

technical field [0001] The invention belongs to the technical field of electric power Internet of things information perception, and specifically relates to a clustering and data perception method applied to wireless sensors of photovoltaic power stations. Background technique [0002] At present, many photovoltaic power station monitoring systems are constructed based on wireless sensor networks, which enables extensive interaction of various links in the photovoltaic power generation system and improves the scheduling and operation level of photovoltaic power generation. However, due to the limited resources and geographical environment of photovoltaic power plants, many difficulties have been encountered in terms of deployment scale and lifespan, which have greatly affected its data collection perception and fast and accurate processing of large amounts of data, and at the same time caused blockage of transmission channels. Bring challenges to information transmission and...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/38H04W40/08H04W40/20H04W40/32
CPCY02D30/70
Inventor 王定美代爽靳岩王明松董海鹰马志程周强沈渭程吕清泉马彦宏韩旭杉赵龙陟晶丁坤陈钊马明黄蓉
Owner STATE GRID GASU ELECTRIC POWER RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products