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3results about How to "Avoid cold damage" patented technology

A method for calculating the appropriate time for rolling up greenhouse curtains

PendingCN122087229Aovercome randomnessovercome inaccuraciesClimate change adaptationComplex mathematical operationsGreenhouseObservation data
This invention provides a method for calculating the optimal time for rolling up greenhouse curtains. The method includes the following steps: calculating the solar altitude angle h for a given region, date, and time; obtaining the temperature equilibrium time point inside the greenhouse during winter; calculating the solar altitude angle h of the temperature equilibrium point inside the greenhouse on different dates during winter; and calculating the optimal curtain-rolling time T for different dates in the given region during winter. The method provided by this invention has the advantage of being able to calculate the optimal curtain-rolling time for greenhouses on different dates and in different geographical locations during winter without relying on complex sensors inside the greenhouse, by integrating geographical information, astronomical parameters, and historical observation data. This improves the utilization of climate resources and effectively mitigates meteorological disasters in facility agriculture.
Owner:YINCHUAN METEOROLOGICAL BUREAU

Sand prevention, steam injection and oil extraction integrated pipe column and using method thereof

The invention relates to a sand prevention, steam injection and oil extraction integrated pipe column and a using method thereof. In the integrated pipe column, a heat insulation compensator outer pipe is arranged between a sand prevention screen pipe and a sand prevention and steam injection packer in the sand prevention pipe column; a pump seat of a rod type oil well pump at the lower end of the steam injection and oil extraction pipe column is sequentially connected with a steam injection and oil extraction change-over switch and a heat insulation compensator insertion pipe; a liquid flow channel is formed in the steam injection and oil extraction change-over switch, and a change-over valve ball is arranged in the liquid flow channel; the heat insulation compensator insertion pipe can penetrate through an inner channel of the sand prevention steam injection packer to be inserted into the heat insulation compensator outer pipe, and a steam injection oil extraction channel is formed by the heat insulation compensator insertion pipe and a liquid flow channel in the steam injection oil extraction change-over switch. The liquid flow channel can be communicated with the oil sleeve annulus to form a well washing circulation channel, and a change-over valve ball in the liquid flow channel can close the well washing circulation channel and open the steam injection and oil extraction channel at the same time or open the well washing circulation channel and close the steam injection and oil extraction channel at the same time. Casing damage and operation procedures can be reduced, the production cost is reduced, and the exploitation effect of a steam injection oil production well is improved.
Owner:CHINA PETROLEUM & CHEMICAL CORP +1

A personalized cold risk prediction and assessment method and system based on deep learning

The present application relates to the field of cold risk prediction technology, and provides a personalized cold risk prediction and assessment method and system based on deep learning. The method includes: sequentially cleaning and formatting the received characteristic parameters of the target individual and the environmental parameters of the target individual's location; based on a pre-built thermal regulation model, making a preliminary prediction of the target individual's skin temperature, and determining the target section in the thermal regulation model that requires key parameter adjustment based on the preliminary prediction results and the formatted characteristic parameters; wherein the key parameters include: metabolic rate, set point temperature, heat capacity, or one or more; based on a deep learning algorithm, cyclically adjusting the key parameters of the target section based on the formatted data; based on the thermal regulation model after the key parameters are adjusted, making a secondary prediction of the target individual's skin temperature, and determining the target individual's cold stress risk based on the secondary prediction results, and feeding back to the target individual.
Owner:INNER MONGOLIA RESEARCH INSTITUTE CHINA UNIVERSITY OF MINING AND TECHNOLOGY (BEIJING) +1