Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Li Jingzhao"'
Publikováno v:
Alexandria Engineering Journal, Vol 92, Iss , Pp 117-170 (2024)
Electricity is establishing ground as a means of energy, and its proportion will continue to rise in the next generations. Home energy usage is expected to increase by more than 40% in the next 20 years. Therefore, to compensate for demand requiremen
Externí odkaz:
https://doaj.org/article/2a109788ce2548c48e4034f25d890ff8
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102766- (2024)
With the advent of smart grids, advanced information infrastructures, advanced metering facilities, bidirectional exchange of information, and battery storage home area networks have all transformed the electricity consumption and energy efficiency.
Externí odkaz:
https://doaj.org/article/e9bbef7beb8642c9b149213ad75097ef
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 3, Pp 82-91 (2024)
The application of artificial intelligence technology can real-time recognize the behavior of key position personnel in coal mines, such as mine hoist drivers, to prevent dangerous situations such as equipment misoperation. It is of great significanc
Externí odkaz:
https://doaj.org/article/c1bf82fb9d4f4a5bb59dee005e2e4a85
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102188- (2024)
The home energy management (HEM) sector is going through an enormous change that includes important elements like incorporating green power, enhancing efficiency through forecasting and scheduling optimization techniques, employing smart grid infrast
Externí odkaz:
https://doaj.org/article/d028d739663f4057b3073b0552ea6f27
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 7, Pp 49-59 (2023)
The traditional motor fault diagnosis method based on the audio signal is insufficient to obtain the feature information of the motor audio signal and the fault diagnosis precision is not high. In order to solve the above problems, a mine motor fault
Externí odkaz:
https://doaj.org/article/41665f97e19548eeb64100e9e7ad95a7
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 11, Pp 46-52, 66 (2023)
The object detection algorithm based on deep learning has good recognition performance in foreign object detection. But the model memory requirement is large and the detection speed is slow. The lightweight deep learning networks can significantly re
Externí odkaz:
https://doaj.org/article/bb54085e1b8140b98f4b40e1921e096a
Publikováno v:
Meitan kexue jishu, Vol 51, Iss 1, Pp 446-454 (2023)
In the field of coal mine production, the mine hoist, as a kind of auxiliary transportation equipment, plays a very important role in the whole transportation engineering of the mine. Its safety and stability directly affect the production efficiency
Externí odkaz:
https://doaj.org/article/98cfeafc0b894658ba8a70c0ef9a75f8
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 2, Pp 107-113 (2022)
The sensor monitoring data combined with neural network prediction model is the mainstream method of mine belt conveyor operation state prediction. However, using contact sensor to monitor the belt conveyor running state has some problems, such as in
Externí odkaz:
https://doaj.org/article/84e91a28d8e54248a9835666cc4b667e
Publikováno v:
Gong-kuang zidonghua, Vol 47, Iss 12, Pp 1-7 (2021)
At present, the intelligent video monitoring in coal mine mainly adopts cloud computing to process real-time video, and the video transmission occupies large network resources and has high delay, which can not respond to emergency events in the monit
Externí odkaz:
https://doaj.org/article/486d3a23935a45819149878cb5a7d162
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 10, Pp 62-68, 75 (2022)
The non-contact bulk material accumulation detection method has problems, such as slow detection speed, low detection precision in image fuzzy scene, large memory requirement of deep learning model. In order to solve the above problems, a video real-
Externí odkaz:
https://doaj.org/article/c4ed57573e2b4e82ade7c0c9082419f0