The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 15, 2019

Filed:

Apr. 23, 2018
Applicant:

Suntracker Technologies Ltd., Victoria, CA;

Inventors:

Ian Ashdown, West Vancouver, CA;

Wallace Jay Scott, Victoria, CA;

Assignee:

SUNTRACKER TECHNOLOGIES LTD., Victoria, BC, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H05B 37/02 (2006.01); G05B 13/04 (2006.01); F24F 11/30 (2018.01); F24F 120/10 (2018.01); F24F 130/20 (2018.01); F24F 11/47 (2018.01);
U.S. Cl.
CPC ...
H05B 37/0227 (2013.01); G05B 13/048 (2013.01); H05B 37/0218 (2013.01); H05B 37/0281 (2013.01); F24F 11/30 (2018.01); F24F 11/47 (2018.01); F24F 2120/10 (2018.01); F24F 2130/20 (2018.01); F24S 2201/00 (2018.05); Y02B 20/42 (2013.01); Y02B 20/46 (2013.01);
Abstract

A predictive system and method thereof for indoor horticulture are disclosed. The method includes obtaining a set of input values identifying a geographic position of a physical structure enclosing an interior environment and a target distribution for environmental parameters for a selected plant occupant. The method further includes obtaining a virtual representation of the physical structure, and iteratively over time, updating the virtual representation based on actual plant growth or a predicted plant growth model for the selected plant occupant. The method further includes running a computational model to obtain a predicted distribution of the environmental parameters for the virtual representation, and determining a target distribution of artificially modulated environmental parameters. Based on the target distribution of the artificially modulated environmental parameters, the method includes setting output parameters for control devices to collectively control the actual distribution of the set of environmental parameters.


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