公开(公告)号：US20250158568A1

公开(公告)日：2025-05-15

申请号：US18948928

申请日：2024-11-15

Applicant: NeoGenesys, Inc.

Inventor： Randall Douglas THOMPSON

IPC: H02S50/10 ,  G02F1/13 ,  G02F1/1335 ,  H01L31/054

Abstract: Methods and systems for photovoltaic (PV) panel power control are disclosed. In an aspect, a PV panel comprises one or more PV cells wired in parallel and/or in series to produce an output voltage, and a controllable-opacity layer disposed on the sunward-facing surface of the PV cell, wherein in a transparent mode, photons pass through the controllable-opacity layer to reach the one or more PV cells, and wherein in an opaque mode, photons are restricted from passing through the controllable-opacity layer to reach the one or more PV cells. In an aspect, a method for PV panel power control comprises determining that a PV panel is in an error condition or dangerous state, and controlling a controllable-opacity layer associated with the PV panel to an opaque state to block photons from reaching the PV panel.

公开(公告)号：US20240106974A1

公开(公告)日：2024-03-28

申请号：US18528147

申请日：2023-12-04

Applicant: NeoGenesys, Inc.

Inventor： Randall Douglas THOMPSON

IPC: H04N5/33 ,  G01J5/00 ,  G01J5/02 ,  G01R31/62

CPC classification number: H04N5/33 ,  G01J5/0096 ,  G01J5/025 ,  G01R31/62 ,  G01J2005/0077

Abstract: According to one aspect, a method for remote monitoring of electrical equipment includes acquiring a set of data points, each data point representing a temperature associated with a piece of electrical equipment or a component thereof, assigning each data point to one or more groups of data points, and defining an alarm metric for each group. Each group's alarm metric may be defined independently of other group's metrics. The defined alarm metrics are used to determine the health of the electrical equipment. The data may be determined from virtual probes within an infrared sensor and/or received from RFID devices containing temperature sensor, which are attached to or near the equipment to be monitored, for example. The methods described herein do not require conversion of sensor data into temperature values, and thus obviate the need for expensive sensors and/or computationally demanding conversion, compensation, and calibration routines.