US 11,668,457 B1
Plant lamp
Jia Luo, Shanghai (CN); Yunfei Duan, Shanghai (CN); and Liang Zhou, Shanghai (CN)
Assigned to SINOWELL TECHNOLOGY CO., LTD., Shanghai (CN)
Filed by SINOWELL TECHNOLOGY CO., LTD., Shanghai (CN)
Filed on Aug. 16, 2022, as Appl. No. 17/820,240.
Int. Cl. F21V 29/71 (2015.01); F21V 29/76 (2015.01); A01G 7/04 (2006.01)
CPC F21V 29/717 (2015.01) [A01G 7/045 (2013.01); F21V 29/763 (2015.01)] 17 Claims
OG exemplary drawing
 
1. A plant lamp, comprising:
one or more light-emitting units, each of which includes a light-emitting side and a non-light-emitting side oppositely disposed;
a lamp holder, wherein the one or more lighting-emitting units are mounted on the lamp holder; and
one or more heat dissipation units located on the non-light-emitting side of at least one of the one or more light-emitting units, connected to the at least one light-emitting unit, and configured for heat dissipation of the at least one light-emitting unit;
one or more ventilation devices, wherein at least one of the one or more ventilation devices is mounted in at least one of the one or more heat dissipation units, a first heat dissipation channel, or a second heat dissipation channel;
an electric control structure, wherein the electric control structure electrically connected to the one or more light-emitting units is configured to supply power to the one or more light-emitting units and control the one or more light-emitting units to work;
the electric control structure electrically connected to the one or more ventilation devices is configured to control ventilation power of the one or more ventilation devices; and to determine the ventilation power, the electric control structure is further configured to:
determine a ventilation power adjustment instruction by processing a light-emitting intensity, a light-emitting duration, light-emitting direction adjustment data, and an ambient temperature of the light-emitting unit through a determination model; wherein the determination model includes a feature extraction layer and an output layer, the feature extraction layer is configured to determine a cumulative light-emitting feature by processing the light-emitting intensity and the light-emitting duration, and the output layer is configured to determine the ventilation power adjustment instruction by processing the cumulative light-emitting feature, the light-emitting direction adjustment data, and the ambient temperature, wherein the light-emitting direction adjustment data includes a light-emitting direction adjustment instruction, whether the light-emitting direction adjustment instruction is executed in time, and a frequency of light-emitting direction adjustment, and the determination model is a machine learning model.