IP Library › Granted Patent US 10,810,527
Granted Patent B2
US 10,810,527 · App. 15/842,769 · Granted Oct 20, 2020

Systems and methods for scheduling dispensing deer feed based on predicted periods of deer activity

Inventors: Jules J. Lauve, IV (Bridgeport, CT); Jules J. Lauve, III (Bridgeport, CT)
Assignee: Solunartek, LLC
G06Q10/06314A01K5/0291G06Q10/1097G06N7/005
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Quick Facts
Patent No.
US 10,810,527
App. No.
15/842,769
Granted
Oct 20, 2020
Kind
B2
Abstract

Systems and methods are described herein for scheduling tasks based on predicted animal behavior. The systems and methods may receive schedule parameter data; generate set-times for performing tasks based on the schedule-parameter data; determine that one of the set-times conflicts with another one of the set-times; and generate a schedule comprising different set-times for performing the tasks. The systems and methods may run a first schedule for performing tasks based on the schedule-parameter data, which may comprise set-times; receive environmental sensor data; and run a second schedule for performing the tasks. The second schedule may comprise set-times, be based on the environmental sensor data, and be different from the first schedule. The systems and methods may generate set-times for performing tasks based on the schedule-parameter data and offsets from a solunar event, and generate a schedule with the set-times.

Claims (21)

1. A system for dispensing animal feed, the system comprising:

an automatic animal feeder; and

one or more storage mediums storing executable instructions; and one or more processors configured to execute the instructions, wherein execution of the instructions causes the system to perform a method comprising:

receiving a schedule of solunar events;

receiving one or more offsets from a user;

generating two or more of a daily schedule, solar schedule, or lunar schedule, the schedules each including one or more set-times, using the schedule of solunar events and the one or more offsets;

comparing the two or more of the daily schedule, solar schedule, or lunar schedule according to an arbitration rule;

based on the comparison, interleaving set-times of the two or more of the daily schedule, solar schedule, or lunar schedule to generate a combined schedule; and

configuring a controller of the automatic animal feeder to dispense animal feed according to the combined schedule.

2. The system of claim 1 , wherein the at least one solunar event comprises at least one of moonrise, moonset, moon overhead, moon underfoot, sunrise, or sunset at a geographic location.

3. The system of claim 1 , wherein the one or more offsets comprises a time duration set in advance of or after the at least one solunar event.

4. The system of claim 1 , wherein the one or more set-times are based at least in part on an indication of one or more animal species.

5. The system of claim 4 , wherein the one or more offsets are based at least in part on the indication of the one or more animal species.

6. The system of claim 1 , wherein the at least one solunar event comprises predetermined positions of the Sun and the Earth's moon relative to a geographic location.

7. The system of claim 4 , wherein the one or more animal species comprise a deer.

8. The system of claim 1 , wherein the combined schedule comprises a schedule start time.

9. The system of claim 1 , wherein the solar schedule and lunar schedule depend on geographic location information.

10. The system of claim 1 , wherein comparing includes:

comparing a set-time of a lower-priority schedule to:

a later set-time of a higher priority schedule interleaved into the combined schedule using a look-ahead filter; and

an earlier set-time of the higher priority schedule using a look-behind filter.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 11, 2019
From: LAUVE, JULES J., III; LAUVE, JULES J., IV
To: SOLUNARTEK, LLC
Reel/Frame 050690/0455 →
Continuity (2)
Provisional Application 62485727 · Apr 14, 2017
Related Publication 20180300662A1 · Oct 18, 2018
Cited By (2)
US 12,284,988 US 12,490,715