New energy power transmission state monitoring method based on artificial intelligence algorithm

A technology of artificial intelligence and power transmission, applied in electrical components, circuit devices, adaptive control, etc., to achieve the effect of improving operating efficiency and safety, and reducing workload

Pending Publication Date: 2022-02-15
天赋智能科技研究院(南京)有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems, the present invention provides a new energy power transmission state monitoring method based on an artificial intelligence algorithm, which can solve

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention will be further described in conjunction with embodiment now.

[0021] A new energy power transmission state monitoring method based on artificial intelligence algorithm, characterized in that it comprises the following steps:

[0022] S1. Leakage current sensor, tension sensor, meteorological monitoring unit, GPS positioning module, microcontroller, power supply module are respectively arranged at the joint of transmission line and tower, wherein leakage current sensor passes transmission line; Described leakage current sensor , the tension sensor, the meteorological monitoring unit, and the GPS positioning module are connected to a microcontroller, and the microcontroller is connected to the monitoring terminal through a wireless communication module;

[0023] S2. The monitoring terminal receives the monitoring data sent by the sensors of S1 in real time, and calls the automation program or the artificial intelligence program in the model library...

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 relates to a new energy power transmission state monitoring method based on an artificial intelligence algorithm, and the method comprises the steps: enabling a leakage current sensor, a tension sensor, a meteorological monitoring unit, a GPS positioning module, a microcontroller, and a power module to be disposed at the connection part of a power transmission line and a tower, and the leakage current sensor to passing through the power transmission line; the leakage current sensor, the tension sensor, the meteorological monitoring unit and the GPS positioning module being connected with the microcontroller, and the microcontroller being connected with the monitoring end through the wireless communication module; the monitoring end receiving monitoring data sent by the sensors in the S1 in real time, and calling an automatic program or an artificial intelligence program model in a model library according to a preset operation regulation target and the monitoring data received in real time and sequence control logic of the preset operation regulation, and generating a control instruction required by each step in the sequence control logic for executing the operation regulation.

Description

technical field [0001] The invention relates to the field of new energy transmission, in particular to a new energy power transmission state monitoring method based on an artificial intelligence algorithm. Background technique [0002] At present, the monitoring of transmission towers is mostly done manually. With the development and utilization of new energy sources such as wind energy, geothermal energy, solar energy, tidal energy and other fluctuating energy sources, the shortcomings of traditional monitoring methods such as heavy workload, wide scope, and untimely problem solving have undoubtedly been exposed, and have been unable to adapt to the energy transmission of modern society. demand. [0003] With the development of artificial intelligence technology and remote monitoring technology, many automated monitoring technologies have been developed, but monitoring technologies for transmission systems of fluctuating new energy are rare. The improvement of the operati...

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
IPC IPC(8): H02J13/00G05B13/04
CPCH02J13/00002H02J13/00022G05B13/042Y02E60/00Y04S40/126
Inventor 李明久
Owner 天赋智能科技研究院(南京)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products