Results 31 to 40 of about 922 (141)

Defining Predictors for Successful Mechanical Ventilation Weaning, Using a Data-mining Process and Artificial Intelligence

open access: yesScientific Reports, 2023
Abstract Objectives: Mechanical ventilation weaning within intensive care units (ICU) is a difficult process, while crucial when considering its impact on morbidity and mortality. Failed extubation and prolonged mechanical ventilation both carry a significant risk of adverse events. We aimed to determine predictive factors of extubation success
Juliette Menguy   +4 more
openaire   +3 more sources

Intelligent monitoring and control system for blind ventilation with long distance in shield construction of coal mine inclined shaft

open access: yes, 2016
An intelligent monitoring and control system was desiged which takes PLC as core for blind ventilation with long distance in shield construction of coal mine inclined shaft.
ZHANG Dawei, XIN Deli
core   +1 more source

Uncertainty analysis of digital twin model of mine ventilation system. [PDF]

open access: yesSci Rep
The digital twin model of mine ventilation system (DTMVS) plays an important role in intelligent safety management. However, the uncertainty of the ventilation resistance coefficient, which is the core parameter of the model, makes it challenging to ...
Cao P   +5 more
europepmc   +2 more sources

Research on grading control of mine ventilation system

open access: yes, 2018
In view of problem that present mine ventilation system control had not been considered from overall perspective of ventilation system, a grading control method of mine ventilation system was proposed based on structure of mine ventilation system and air
DONG Dingwen   +3 more
core   +1 more source

Improvement of Working Conditions and Opinions of Mine Workers When Battery Electric Vehicles (BEVs) Are Used Instead of Diesel Machines — Results of Field Trial at the Kittilä Mine, Finland

open access: yes, 2022
A major part of the European Union’s (EU) project Sustainable Intelligent Mining System (SIMS) is investigating the development of diesel-free/carbon-neutral underground mines in order to ensure sustainable underground mining in the future.
Gustafsson, J.   +11 more
core   +1 more source

Application prospect analysis of augmented reality technology in mine ventilation system

open access: yes, 2018
Basic concept and features of augmented reality technology were introduced, idea of applying augmented reality technology to mine ventilation system was proposed combining with development trend of smart mines in China.
HUN Baoju, JIN Kai, CHENG Donghao
core   +1 more source

Method for filling missing data of mine ventilation parameters [PDF]

open access: yes
The intelligent mine ventilation system is very important for the intelligent construction of coal mines. In order to solve the problem of missing mine ventilation parameter data caused by the lack of measurement conditions, instrument signal ...
Xuefeng LIU, Jingfeng NI, Lijun DENG
core   +1 more source

Data Processing Method of Mine Wind Speed Monitoring Based on an Improved Fuzzy C-Means Clustering Algorithm

open access: yes, 2022
Analyzing and processing mine wind speed monitoring data is the key to realizing intelligent ventilation and real-time calculation of the ventilation network.
Wei Zhang, Yucheng Li, Junqiao Li
core   +1 more source

Design of Intelligent Monitoring Software for Mine Ventilator

open access: yesGong-kuang zidonghua, 2011
A design scheme of intelligent monitoring software for mine ventilator was proposed, and the serial communication module, data management module and intelligent diagnosis module were introduced in details. The software realizes functions of monitoring of running status and fault diagnosing for ventilator by using MSComm control to achieve serial ...
LI Chun, ZHAI Nai-jiang, YU Zhi-chao
openaire   +1 more source

Research on Intelligent Control of Regional Air Volume Based on Machine Learning

open access: yes, 2023
To address the challenge of intelligently controlling air volume in regions affected by the frequent fluctuations in underground ventilation networks, a remote intelligent air regulation method based on machine learning was presented.
Shuxin Mei   +4 more
core   +1 more source

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