Optimization and adjustment method and device for self-adaptive mine fan net-hanging operation ventilation system
The invention provides a self-adaptive mine fan net-hanging operation ventilation system optimization adjustment method and device, and relates to the technical field of mine ventilation, and the method comprises the steps: collecting historical air quality parameters, operation parameters, environm...
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| creator | QIN XIAOXIN QIN RUXIANG CHEN RUI MA YINGJIE YE FENG LIU YINHUI |
| description | The invention provides a self-adaptive mine fan net-hanging operation ventilation system optimization adjustment method and device, and relates to the technical field of mine ventilation, and the method comprises the steps: collecting historical air quality parameters, operation parameters, environment parameters, the number of personnel and operation conditions, training an air prediction model, predicting future air quality parameters, and calculating the comprehensive air quality. The method comprises the following steps: acquiring historical energy consumption of a fan, calculating a correlation coefficient, mining key parameters from operation parameters to calculate and predict energy consumption, predicting real-time comprehensive air quality, calculating a safety risk value by utilizing the comprehensive air quality, environmental parameters, the number of personnel and operation conditions, and presetting an energy cost threshold value and a safety risk threshold value. The weight adjustment value is |
| format | Patent |
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The method comprises the following steps: acquiring historical energy consumption of a fan, calculating a correlation coefficient, mining key parameters from operation parameters to calculate and predict energy consumption, predicting real-time comprehensive air quality, calculating a safety risk value by utilizing the comprehensive air quality, environmental parameters, the number of personnel and operation conditions, and presetting an energy cost threshold value and a safety risk threshold value. 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The method comprises the following steps: acquiring historical energy consumption of a fan, calculating a correlation coefficient, mining key parameters from operation parameters to calculate and predict energy consumption, predicting real-time comprehensive air quality, calculating a safety risk value by utilizing the comprehensive air quality, environmental parameters, the number of personnel and operation conditions, and presetting an energy cost threshold value and a safety risk threshold value. 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The method comprises the following steps: acquiring historical energy consumption of a fan, calculating a correlation coefficient, mining key parameters from operation parameters to calculate and predict energy consumption, predicting real-time comprehensive air quality, calculating a safety risk value by utilizing the comprehensive air quality, environmental parameters, the number of personnel and operation conditions, and presetting an energy cost threshold value and a safety risk threshold value. The weight adjustment value is</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | BLASTING CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING EARTH DRILLING ELECTRIC DIGITAL DATA PROCESSING FIXED CONSTRUCTIONS HEATING LIGHTING MECHANICAL ENGINEERING MINING NON-POSITIVE DISPLACEMENT PUMPS PHYSICS POSITIVE DISPLACEMENT MACHINES FOR LIQUIDS PUMPS FOR LIQUIDS OR ELASTIC FLUIDS SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, ORDRAINING IN OR OF MINES OR TUNNELS WEAPONS |
| title | Optimization and adjustment method and device for self-adaptive mine fan net-hanging operation ventilation system |
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