Heliostat artificial intelligence correction method, device, electronic equipment and storage medium

An artificial intelligence and heliostat technology, applied in the field of solar energy applications, can solve the problems of large computing resources, slow speed and low result accuracy, and achieve the effect of high-precision tracking

Active Publication Date: 2022-07-22
北京聚树核科技有限公司
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AI Technical Summary

Problems solved by technology

[0006] Among them, the above-mentioned method of fitting the tracking error curve according to the historical deviation to calculate the current tracking error is slow, consumes a lot of computing resources, and the accuracy of the fitting result is low

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  • Heliostat artificial intelligence correction method, device, electronic equipment and storage medium
  • Heliostat artificial intelligence correction method, device, electronic equipment and storage medium
  • Heliostat artificial intelligence correction method, device, electronic equipment and storage medium

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Embodiment Construction

[0046] In order to make the purposes, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments These are some, but not all, embodiments of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present disclosure.

[0047] The heliostat referred to in the present disclosure may be a reflector commonly used in concentrating solar thermal power plants to track the running trajectory of the sun in real time and use specular reflection to reflect sunlight to a specific position, or a dual-axis tracking solar photovoltaic power station. Real-time tracking of phot...

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Abstract

The present disclosure relates to a method, device, electronic device and storage medium for artificial intelligence correction of heliostats. The method includes: reading sample data; training an LSTM network according to the sample data to obtain an LSTM network model; The data is input into the LSTM network model, and the correction data of the heliostat is output after being calculated by the LSTM network model; and the daily tracking operation parameters of the heliostat are corrected using the correction data of the heliostat. Heliostat sample data is efficiently learned using methods including long short-term memory artificial intelligence machine learning, allowing heliostats to track with higher accuracy.

Description

technical field [0001] The present disclosure relates to the technical field of solar energy applications, and more particularly to a method, device, electronic device and storage medium for artificial intelligence correction of heliostats. Background technique [0002] Solar energy is used more and more in people's lives because of its advantages of large total energy, wide distribution, cleanliness, no pollution and high economy. In the process of utilizing solar energy, whether using solar photovoltaic panels, solar concentrating mirrors or other forms, in order to receive more solar radiation for use, solar tracking technology is increasingly applied. Especially in large-scale solar power plants, solar tracking systems can be used to improve the power generation efficiency of solar power plants to increase production. [0003] For example, when the solar tracking technology is applied in solar photovoltaic power generation, its control system calculates according to the...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27G06N3/04G06N3/08H02S20/32
CPCG06F30/27G06N3/08H02S20/32G06N3/044Y02E10/50
Inventor 王培培
Owner 北京聚树核科技有限公司
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