This summary of the video was created by an AI. It might contain some inaccuracies.
00:00:00 – 00:23:28
The video discusses setting up utility integrations in Home Assistant, focusing on history stats, statistical analysis, and visualizations. Key points include setting sensor configurations, tracking appliance run times, monitoring energy usage, and creating visualizations in Grafana. Important names include Carlos Gomez and various appliances like fridges, freezers, and media players like Roku. The speaker emphasizes simplifying the setup process by demonstrating code snippets and inviting engagement from viewers for more detailed statistics-related content. The video provides insights on monitoring device run times, historical tracking, and real-time tracking of app usage, highlighting the importance of accurate YAML formatting and regular updates for effective data analysis.
00:00:00
In this segment of the video, the content creator discusses utility integrations in home assistant, particularly focusing on history stats and using statistics and plotting to analyze values. He mentions an article by Carlos Gomez about smart home assistant analytical tools and demonstrates how to create visualizations with history stats. The creator then highlights an issue found with power monitoring and uses history stats to track the running duration of a fridge plug. He showcases code snippets for setting up these functionalities in the configuration.yaml file using Visual Studio Code. The explanation aims to simplify the process for viewers, emphasizing that it is manageable once the YAML formatting is correct.
00:03:00
In this segment of the video, the speaker discusses using the history stats integration in Home Assistant to calculate statistics for discrete variables over a specific time range. The integration requires defining start, end, and duration intervals. The speaker demonstrates creating sensor configurations in a separate sensors.yaml file to track metrics such as fridge and freezer running times and time spent on activities like watching YouTube. The speaker mentions that the history stats platform is already integrated into Home Assistant, requiring no additional installation for standard setups.
00:06:00
In this segment of the video, the speaker discusses setting up a template in Home Assistant to monitor energy usage. They explain that if the current energy usage is above zero, it is considered true. The sensor template is created in the sensors.yaml file, named “fridge running.” The template checks the state of the sensor, converting it to a number, and if it’s greater than zero, the value becomes true, indicating the device is running. They use history stats to track the on time of the fridge and freezer based on the true state of the sensors. The code creates monitoring for the devices’ on/off states and historical tracking.
00:09:00
In this part of the video, the speaker discusses the process of tracking historical statistics for devices like freezers and fridges. They explain how sensor values are set to true based on device running time and how this data is monitored over a specific time period, such as the past 24 hours. The speaker demonstrates setting up entries for freezer and fridge on time and explains the need to restart Home Assistant for configurations to take effect. They also show how to check the values in developer tools and discuss visualizing this data in Grafana.
00:12:00
In this segment of the video, the speaker discusses creating a visualization to monitor the run time of appliances over the past 24 hours. They demonstrate using single stack cards to display the run time of the fridge, freezer, and washer. The process involves setting up the visualization in Grafana by adding an empty panel, configuring entity IDs, selecting measurements in hours for each appliance, and labeling the stats accordingly. The speaker also briefly mentions setting thresholds for the run times, such as coloring durations over certain hours in yellow or red. The main focus is on creating a simple and informative visualization of appliance run times.
00:15:00
In this segment of the video, the speaker is setting up baseline run times for devices. They demonstrate how to display the run time stats of devices over the last 24 hours using Grafana. The speaker suggests watching more detailed videos for further information. They mention the possibility of comparing run times between different days for appliances, obtaining mean values, and other statistical insights. The speaker also explains how to track watch time on Roku devices using templates and triggers to update every minute. Additionally, they show how to access app information on the Roku by utilizing state attributes rather than just the state.
00:18:00
In this segment of the video, the speaker discusses configuring a media player device, specifically a Roku Ultra, to update and record the app name every minute for real-time monitoring of watch time. By creating a timestamp in the database, users can track the duration that a specific app has been active. The process involves considerations such as storage space, writing frequency, and potential wear and tear on the storage device. This setup allows for more frequent updates on watch time compared to standard intervals. The speaker uses a templates.yaml file to create sensors to monitor watch time for specific apps like YouTube and Netflix, utilizing the History Stats platform integration to record and manage this data for tracking and analysis.
00:21:00
In this segment of the video, the speaker demonstrates how to track the amount of time watching YouTube and Netflix using Home Assistant. They explain that the data is collected for the past 24 hours, starting either from midnight going forward or backward. By setting the end time to zero, you can view data from the previous day. The speaker showcases a Grafana dashboard displaying 1.2 hours of YouTube watch time and 1.3 hours of Netflix watch time for the current day. They emphasize the high-level overview of the process and invite viewers to ask for more detailed statistics-related content. The speaker encourages viewers to engage by commenting, becoming a channel member, liking, and subscribing for future videos.