DIKW database for a warehouse robot

 The following DIKW pyramid was simplified to only 2 bottom layers. Its stored in a json database with 2 different tables. The data layer stores the numerical sensor data like lidar_distance and battery voltage of the robot, while the information layer stored semantic tags. The task for the robot is to translate between both layers back and forth which is called symbol grounding. 

{
  "dikw_model": {
    "data_layer": {
      "lidar_distance_cm": 12.5,
      "ultrasonic_proximity": 0.15,
      "camera_rgb_average": [120, 120, 120],
      "encoder_ticks": 4502,
      "battery_voltage": 11.2
    },
    "information_layer": {
      "spatial_context": ["obstacle", "near_field"],
      "navigation_tag": "left_quadrant_blocked",
      "surface_type": "concrete",
      "status": "low_battery_warning",
      "motion_state": "decelerating"
    }
  }
}