Hey everyone,
I’ve been working on a project where I’m monitoring a sensor that’s supposed to read values between 0 and 4. It’s been doing its job pretty well, but every now and then, it throws out these unexpected peaks—either shooting up or dropping down outside that range. It’s been a bit of a headache, but I think I’ve figured out a way to handle it.
First off, I tried to understand why these peaks were happening. Was it something with the sensor itself, or maybe interference from other devices? I checked the wiring, made sure everything was grounded properly, and even tried moving the sensor to a different location. Nothing seemed to solve the issue completely.
Then, I remembered reading about using automation scripts to filter out unwanted data. I decided to give it a shot. Here’s what I came up with:
I set up an automation that triggers whenever the sensor’s value changes. The script checks if the new value is within the expected range (0 to 4). If it is, it updates a helper entity with that value. If not, it ignores the reading and keeps the helper entity’s value as it was.
Here’s a rough idea of how the script looks:
plaintext
- platform: state
entity_id: sensor.mpu6050_mpu6050_pitch
condition:- condition: numeric_state
entity_id: sensor.mpu6050_mpu6050_pitch
above: -0.1
below: 4
action: - service: input_number.set_value
data:
value: “{{ trigger.entity_id.state }}”
target:
entity_id: input_number.mpu_wert_gecropt
- condition: numeric_state
This setup has been working wonders for me. It filters out those rogue peaks and keeps my system running smoothly. I’m definitely going to look into more ways to refine this further, maybe adding some logging to track when these peaks occur and see if there’s a pattern I can address.
If anyone has other tips or tricks for handling sensor anomalies, I’d love to hear them! It’s always great to learn new approaches to these kinds of problems.
Cheers,
[Your Name]