US 12,239,109 B2
Holding tank monitoring system based on wireless sensor network and monitoring method
Lishao Wang, Halifax (CA); Shiwei Liu, Lehi, UT (US); Xiaoge Cheng, Beijing (CN); Qiaowei Liu, Lianyungang (CN); and Riming Hao, Beijing (CN)
Filed by Lishao Wang, Halifax (CA); Shiwei Liu, Lehi, UT (US); Xiaoge Cheng, Beijing (CN); Qiaowei Liu, Lianyungang (CN); and Riming Hao, Beijing (CN)
Filed on Aug. 12, 2021, as Appl. No. 17/400,472.
Claims priority of provisional application 63/079,112, filed on Sep. 16, 2020.
Prior Publication US 2022/0079125 A1, Mar. 17, 2022
Int. Cl. A01K 63/04 (2006.01); A01K 63/00 (2017.01); C02F 1/00 (2023.01); G06N 20/00 (2019.01); H04L 67/12 (2022.01); H04L 67/125 (2022.01); H04W 4/38 (2018.01)
CPC A01K 63/04 (2013.01) [A01K 63/003 (2013.01); C02F 1/008 (2013.01); G06N 20/00 (2019.01); H04L 67/125 (2013.01); H04W 4/38 (2018.02)] 9 Claims
OG exemplary drawing
 
1. A holding tank monitoring system based on a wireless sensor network, the system comprising of:
a first holding tank capable of supporting an aquatic life form, said tank having one or more sensors thereof for sensing one or more conditions, wherein said one or more sensors being capable of determining one or more conditions selected from a temperature, a turbidity and a mineral composition in the tank in the holding tank, and capable of transmitting the one or more determined conditions to a remote computer;
one or more actuators for taking one or more corrective measures for the one or more conditions in the holding tank determined by the one or more sensors;
a micro-controller configured to be capable to operate the one or more actuators to make one or more corrective measures for the one or more conditions in the holding tank based on one or more corrective signals received from a remote computer of the system, in communication with the microcontroller, and configured with a trained machine learning algorithm, where the one or more corrective signals is derived from learning based on a plurality of inputs from a plurality of holding tanks;
a communication module comprising of a network receiver and transmitter, the module capable of receiving signals from the remote computer, and transmitting sensor inputs to the remote computer;
a network, and;
the remote computer comprising of at least a processor, memory and storage device, said computer capable of receiving the one or more determined conditions from the one or more sensors for the one or more conditions in the first holding tank, and storing the received one or more conditions in a database in the storage device, wherein the remote computer's memory is configured with the trained machine learning algorithm to determine optimal conditions for the aquatic life in the first holding tank and generating the one or more corrective signals.