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
CN112672302AActive Publication Date: 2021-04-16STATE GRID GASU ELECTRIC POWER RES INST
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID GASU ELECTRIC POWER RES INST
Publication Date
2021-04-16

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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.
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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

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