Tag: status report

Progress This Week:

1. Ollama Instance Deployment:

   • Set up an Ollama instance running the DeepSeek-R1-8B model for Erika to use.

   • This model supports reasoning which makes it very good for our usecase

   • Deployed it behind the existing reverse proxy with token verification for secure access.

   • We can access it both over the cli and using the api
     

2. Python Backend Development:

   • Continued development of the Python backend to add more features and enhance its functionality.

   • Extended API endpoints and improved data handling for integration with Anya’s code and Home Assistant.

3. Finalized Components
   • Finalized and purchased components needed for the final house, planning to install the moment the house is ready on Erika’s end

As the project enters the verification phase, I am planning the following tests to ensure subsystem reliability and accuracy:

1. Electronics Subsystem Verification:

   • Conduct repeated tests on the power monitoring electronics.

   • Measure the accuracy of power draw readings under various loads (fans, motors, lights, etc.).

   • Check the robustness of the sensor communication and responsiveness of the system to rapid changes in load.

   • Use comparison against known reference measurements (multimeter and calibrated loads) to verify sensor accuracy.

2. Backend and Infrastructure Verification:

   • Perform functional tests on the backend APIs to ensure correct data logging, error handling, and performance under stress.

   • Test authentication mechanisms, API response times, and data integrity between the Ollama instance, backend, and Home Assistant integration.

   • Simulate prolonged operation to evaluate system stability and resilience.

1. Python Backend Development:

   • Began development of a new Python backend designed to log data and facilitate smooth communication between Anya’s code and Home Assistant.

   • Established initial framework for data collection and device interaction.

2. Faculty Check-In:

   • Had a check-in meeting with the project professors to review current progress and gather feedback for the next stages.

3. Hardware Integration Planning:

   • Developed a plan to integrate smart hardware components into Erika’s model house.

   • Identified key connection points and strategies for aligning physical devices with the model infrastructure.

1. Relay ESP32 Setup:
   • Set up a dedicated ESP32 for relay control.
   • Integrated the relay ESP32 with Home Assistant for centralized automation.
   • Began testing the relay functionality with various devices.
2. Device Integration:
   • Connected minor devices such as a PWM fan, light, and motor.
   • Explored additional devices for potential integration.
   • Evaluated performance and responsiveness of connected devices.
3. Wiring and Testing:
   • Started wiring and organizing connections for the relay ESP32.
   • Identified and tested different wiring configurations.
   • Determined which setups work best for our needs.
4. Power Consumption Monitoring:
   • Set up power consumption monitoring to track energy usage.
   • Integrated sensors to measure power draw from connected devices.
   • Began analyzing data to identify potential energy optimization strategies.

Challenges Encountered:

• Ensuring stable and reliable relay switching for different devices.
• Managing power distribution effectively to support multiple components.
• Troubleshooting intermittent connectivity issues between ESP32 and Home Assistant.
• Calibrating power monitoring sensors for accurate readings.

Next Steps:

• Expand testing with additional devices to enhance automation capabilities.
• Optimize wiring layouts for improved reliability and ease of use.
• Develop automation rules within Home Assistant for better power management.
• Continue refining the system based on real-world performance observations.
• Analyze power consumption data to implement energy-saving measures.