Alarm.com Holdings Inc. has filed a patent for a monitoring system that utilizes a sensor, solar panel, and monitor control unit to detect deviations in power output and determine potential causes, allowing for remediation actions to be taken. GlobalData’s report on Alarmcom gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Alarmcom, Property assessment drones was a key innovation area identified from patents. Alarmcom's grant share as of January 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.
Solar-powered monitoring system for property with power deviation detection
The patent application (Publication Number: US20240039471A1) describes a method and system for utilizing autonomous vehicles to inspect solar panels and determine if they are in a degraded condition. The method involves transmitting instructions to the autonomous vehicle to perform the inspection, receiving inspection data from the vehicle, analyzing the data to identify degradation, and triggering automated actions in response to the findings. The autonomous vehicle is equipped with sensors and cameras to collect relevant data during the inspection process.
Furthermore, the method includes considerations such as obtaining weather data to schedule the inspection, detecting deviations in the power output of the solar panel as a trigger for inspection, and generating notifications for stakeholders based on the inspection results. The system described in the patent application involves one or more computers and computer-readable media storing instructions for executing the inspection process using autonomous vehicles. Overall, the technology outlined in the patent aims to streamline the monitoring and maintenance of solar panels by leveraging autonomous vehicles for efficient and effective inspections, potentially improving the overall performance and longevity of solar panel installations.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
