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Internet of Things electric power monitoring system and method of wireless sensor network topological structure

A network topology and wireless sensor technology, applied in transmission systems, machine-to-machine/machine-type communication services, electrical components, etc., can solve fault detection and diagnosis results one-sided, reduce the ability of power grid information control, detection technology It is limited to the primary level and other issues to achieve the effect of facilitating centralized processing, improving monitoring capabilities, and improving data monitoring capabilities

Pending Publication Date: 2020-08-28
黄春梅
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the commonly used fault detection and diagnosis methods only detect individual components in the power grid information (such as excitation system and its regulator, prime mover and its regulator, synchronous transmitter, and power load), and the detection technology is limited to At the primary level, the detection data only reflects the fault characteristics of a single component, which cannot be measured globally. The fault detection and diagnosis results are too one-sided, making it difficult to improve the reliability of fault diagnosis, which reduces the ability to control power grid information

Method used

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  • Internet of Things electric power monitoring system and method of wireless sensor network topological structure
  • Internet of Things electric power monitoring system and method of wireless sensor network topological structure
  • Internet of Things electric power monitoring system and method of wireless sensor network topological structure

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Embodiment 1

[0053] Example 1 system

[0054] Such as Figure 1-Figure 3 As shown, an IoT power monitoring system with a wireless sensor network topology structure, wherein the system includes:

[0055] The information perception layer is provided with a wireless sensor network. The wireless sensor network organizes and combines tens of thousands of sensor nodes in a free manner through wireless communication to form a network form. In terms of architecture, the wireless sensor The network includes at least a physical layer, a data link, a network layer, a transmission layer, and an application layer; wherein the physical layer includes at least radio, infrared and light waves; the data link layer includes at least a topology generation module, a topology management module, and a network Management module; the network layer includes at least a router, a network transmission interface, and a transceiver module; the transmission layer includes at least a transmission control module, a transmissio...

Embodiment 2

[0063] Example 2 Method

[0064] Such as Figure 4-Figure 7 As shown, an IoT power monitoring method with wireless sensor network topology structure includes the following steps:

[0065] (S1) Obtain data information of various sensors arranged in the wireless sensor network node through the information perception layer;

[0066] (S2) Transmit data information of various sensors in the information perception layer through the Internet of Things network layer;

[0067] (S3) Perform data fusion, traveling wave positioning calculation and fault diagnosis on the received data information of various sensors in the wireless sensor network node through the monitoring layer;

[0068] (S4) Apply the calculated data information in the data application layer.

[0069] In the above embodiment, the method of data fusion in the step (S3) is an adaptive weighted fusion algorithm.

[0070] As a further technical solution of the present invention, the method of the self-adaptive weighted fusion algorithm...

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Abstract

The invention discloses an Internet of Things electric power monitoring system and method of a wireless sensor network topology structure, and relates to the technical field of electric power monitoring. According to the invention, an Internet of Things data architecture comprising an information perception layer, an Internet of Things network layer, a monitoring layer and a data application layeris constructed, and a wireless sensor network topology structure is constructed, so that fusion of perception data of various sensors is realized, and centralized processing of the data is facilitated; monitoring personnel do not need to use conventional monitoring equipment for detection on site, remote, online and real-time monitoring of bottom layer sensing data can be achieved, and the monitoring capacity is improved. According to the invention, a traveling wave positioning method is adopted to realize positioning of monitoring fault nodes, monitoring of specific positions can be obtained, fault diagnosis, data acquisition, position positioning, fault diagnosis and a system system of an Internet of Things architecture are also realized, and remote, online and real-time monitoring of various fault nodes is realized.

Description

Technical field [0001] The present invention relates to the technical field of power monitoring, and more specifically to an IoT power monitoring system and method with a wireless sensor network topology structure. Background technique [0002] With the accelerated development of power grid technology and application, the scale of power grid information system and the number of users are increasing, and the grid structure is becoming more and more complex. This puts forward higher requirements for fault diagnosis of the power grid. In power applications, the grid structure and its The operation status is complicated and the grid topology is also confusing, which makes it difficult for users to capture the countless uncertain factors hidden in the grid data when facing the big data of grid faults, which is not conducive to monitoring the healthy and healthy development of the grid. As we all know, in large-scale grid system applications, fault phenomena are very common and unavoid...

Claims

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Application Information

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IPC IPC(8): H04W4/38H04L29/08H04W4/70H04W4/80
CPCH04W4/38H04L67/12H04W4/70H04W4/80
Inventor 黄春梅
Owner 黄春梅
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