feat: implement multidistance rssi->distance model parameter estimation
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@@ -5,12 +5,19 @@ defmodule Localiser.Localisation.Sensor.Server do
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alias Localiser.Domain.Sensors
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alias Localiser.Domain.Schema.{Sensor, SensorCalibration}
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alias Localiser.Localisation.Calibration
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alias Localiser.MQTT.Connection, as: MQTTConnection
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@default_rssi_ref -59
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@default_path_loss_exp 2.0
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@default_samples 30
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# mode: :ok | {:calibrating, buffer :: [integer()], target :: pos_integer()}
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# mode:
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# :ok
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# {:calibration_mode, completed_stages}
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# {:calibrating_stage, distance, samples, completed_stages}
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#
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# completed_stages :: [%{distance: float, mean_rssi: float, readings: [{rssi, is_outlier}]}]
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defstruct [:sensor_id, :sensor_db_id, :floor_x, :floor_y, :rssi_ref, :path_loss_exp, mode: :ok]
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def start_link({sensor, room}) do
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@@ -21,28 +28,42 @@ defmodule Localiser.Localisation.Sensor.Server do
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{:via, Registry, {Localiser.Registry, {:sensor, sensor_id}}}
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end
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# Returns %{sensor_id, floor_x, floor_y, distance, rssi, tx_power} for a raw RSSI reading.
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# tx_power is the beacon-advertised expected RSSI at 1 m (nil if not available).
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def measure(sensor_id, rssi, tx_power \\ nil) do
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GenServer.call(via(sensor_id), {:measure, rssi, tx_power})
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end
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# Returns true if the sensor is currently collecting calibration samples.
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# Returns true only when a stage is actively collecting (used by RSSI.Buffer).
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def calibrating?(sensor_id) do
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GenServer.call(via(sensor_id), :calibrating?)
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end
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# Feeds a raw RSSI value into the calibration buffer.
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# Returns a JSON-serialisable snapshot of the current calibration state for channel join.
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def calibration_state(sensor_id) do
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GenServer.call(via(sensor_id), :calibration_state)
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end
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# Feeds a raw RSSI value into the active stage buffer. Ignored between stages.
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def calibration_reading(sensor_id, rssi) do
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GenServer.cast(via(sensor_id), {:calibration_reading, rssi})
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end
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# Starts calibration mode. sample_target: number of RSSI samples to collect.
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def begin_calibration(sensor_id, sample_target \\ 50) do
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GenServer.cast(via(sensor_id), {:begin_calibration, sample_target})
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# Puts the sensor into calibration mode (between-stages). Returns :ok.
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def begin_calibration_mode(sensor_id) do
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GenServer.call(via(sensor_id), :begin_calibration_mode)
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end
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# Aborts an in-progress calibration without saving.
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# Starts collecting samples for a given distance. Returns {:ok, samples_needed} or {:error, reason}.
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def start_stage(sensor_id, distance) do
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GenServer.call(via(sensor_id), {:start_stage, distance})
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end
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# Runs OLS regression over completed stages and saves the result. Requires >= 2 stages.
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# Returns {:ok, %{rssi_ref: integer, path_loss_exp: float}} or {:error, reason}.
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def finish_calibration(sensor_id) do
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GenServer.call(via(sensor_id), :finish_calibration)
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end
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# Aborts calibration from any state, discarding all stages.
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def abort_calibration(sensor_id) do
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GenServer.cast(via(sensor_id), :abort_calibration)
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end
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@@ -84,37 +105,144 @@ defmodule Localiser.Localisation.Sensor.Server do
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@impl true
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def handle_call(:calibrating?, _from, state) do
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{:reply, match?({:calibrating, _, _}, state.mode), state}
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{:reply, match?({:calibrating_stage, _, _, _}, state.mode), state}
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end
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@impl true
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def handle_cast({:begin_calibration, target}, state) do
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def handle_call(:calibration_state, _from, state) do
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snapshot = case state.mode do
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:ok ->
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%{status: "idle"}
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{:calibration_mode, completed} ->
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%{
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status: "calibration_mode",
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samples_needed: samples_needed(),
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completed_stages: Enum.map(completed, &render_stage/1)
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}
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{:calibrating_stage, distance, samples, completed} ->
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%{
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status: "stage_active",
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distance: distance,
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samples_needed: samples_needed(),
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stage_progress: {length(samples), samples_needed()},
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completed_stages: Enum.map(completed, &render_stage/1)
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}
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end
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{:reply, snapshot, state}
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end
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@impl true
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def handle_call(:begin_calibration_mode, _from, state) do
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MQTTConnection.publish("localiser/sensor/#{state.sensor_id}/cmd", ~s({"action":"calibrate_start"}))
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{:noreply, %{state | mode: {:calibrating, [], target}}}
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broadcast_calibration(state.sensor_id, {:calibration_mode_entered, state.sensor_id, samples_needed()})
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{:reply, :ok, %{state | mode: {:calibration_mode, []}}}
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end
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@impl true
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def handle_cast(:abort_calibration, %{mode: {:calibrating, _, _}} = state) do
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MQTTConnection.publish("localiser/sensor/#{state.sensor_id}/cmd", ~s({"action":"calibrate_stop"}))
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{:noreply, %{state | mode: :ok}}
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def handle_call({:start_stage, _distance}, _from, %{mode: {:calibrating_stage, _, _, _}} = state) do
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{:reply, {:error, :already_active}, state}
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end
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def handle_cast(:abort_calibration, state), do: {:noreply, state}
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def handle_call({:start_stage, _distance}, _from, %{mode: :ok} = state) do
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{:reply, {:error, :not_in_calibration_mode}, state}
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end
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def handle_call({:start_stage, distance}, _from, %{mode: {:calibration_mode, completed}} = state) do
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n = samples_needed()
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broadcast_calibration(state.sensor_id, {:stage_started, state.sensor_id, distance, length(completed)})
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{:reply, {:ok, n}, %{state | mode: {:calibrating_stage, distance, [], completed}}}
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end
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@impl true
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def handle_cast({:calibration_reading, rssi}, %{mode: {:calibrating, buffer, target}} = state) do
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buffer = [rssi | buffer]
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def handle_call(:finish_calibration, _from, %{mode: {:calibration_mode, completed}} = state)
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when length(completed) >= 2 do
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case Calibration.least_squares(completed) do
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{:ok, {rssi_ref, path_loss_exp}} ->
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sensor_struct = %Sensor{id: state.sensor_db_id, sensor_id: state.sensor_id}
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if length(buffer) >= target do
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finalize_calibration(buffer, state)
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case Sensors.add_calibration(sensor_struct, %{
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rssi_ref: rssi_ref,
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path_loss_exp: path_loss_exp,
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calibrated_at: DateTime.utc_now()
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}) do
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{:ok, _} ->
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Logger.info("[Sensor.Server] Calibration finished for #{state.sensor_id}: rssi_ref=#{rssi_ref} n=#{path_loss_exp}")
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MQTTConnection.publish("localiser/sensor/#{state.sensor_id}/cmd", ~s({"action":"calibrate_stop"}))
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broadcast_calibration(state.sensor_id, {:calibration_finished, state.sensor_id, rssi_ref, path_loss_exp})
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Phoenix.PubSub.broadcast(Localiser.PubSub, "sensors", {:calibration_complete, state.sensor_id, rssi_ref, path_loss_exp})
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result = %{rssi_ref: rssi_ref, path_loss_exp: path_loss_exp}
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{:reply, {:ok, result}, %{state | rssi_ref: rssi_ref, path_loss_exp: path_loss_exp, mode: :ok}}
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{:error, reason} ->
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Logger.error("[Sensor.Server] Failed to save calibration for #{state.sensor_id}: #{inspect(reason)}")
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{:reply, {:error, :save_failed}, state}
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end
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{:error, reason} ->
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{:reply, {:error, reason}, state}
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end
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end
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def handle_call(:finish_calibration, _from, %{mode: {:calibration_mode, _}} = state) do
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{:reply, {:error, :insufficient_stages}, state}
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end
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def handle_call(:finish_calibration, _from, %{mode: {:calibrating_stage, _, _, _}} = state) do
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{:reply, {:error, :stage_active}, state}
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end
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def handle_call(:finish_calibration, _from, state) do
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{:reply, {:error, :not_in_calibration_mode}, state}
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end
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@impl true
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def handle_cast(:abort_calibration, state) do
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case state.mode do
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:ok ->
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{:noreply, state}
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_ ->
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MQTTConnection.publish("localiser/sensor/#{state.sensor_id}/cmd", ~s({"action":"calibrate_stop"}))
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broadcast_calibration(state.sensor_id, {:calibration_cancelled, state.sensor_id})
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{:noreply, %{state | mode: :ok}}
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end
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end
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@impl true
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def handle_cast({:calibration_reading, rssi}, %{mode: {:calibrating_stage, distance, samples, completed}} = state) do
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n = samples_needed()
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is_outlier = Calibration.outlier?(rssi, samples)
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new_samples = [rssi | samples]
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progress = {length(new_samples), n}
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broadcast_calibration(state.sensor_id, {:calibration_reading, state.sensor_id, rssi, is_outlier, %{stage: progress}})
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if length(new_samples) >= n do
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classified = Calibration.classify_outliers(new_samples)
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clean = for {r, false} <- classified, do: r
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mean_rssi = if clean == [] do
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mean(new_samples)
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else
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mean(clean)
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end
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stage = %{distance: distance, mean_rssi: mean_rssi, readings: classified}
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new_completed = [stage | completed]
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broadcast_calibration(state.sensor_id, {:stage_complete, state.sensor_id, distance, classified, mean_rssi})
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{:noreply, %{state | mode: {:calibration_mode, new_completed}}}
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else
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{:noreply, %{state | mode: {:calibrating, buffer, target}}}
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{:noreply, %{state | mode: {:calibrating_stage, distance, new_samples, completed}}}
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end
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end
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def handle_cast({:calibration_reading, _rssi}, state), do: {:noreply, state}
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# Position updated (sensor dragged in layout).
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@impl true
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def handle_info({:sensor_enrolled, %Sensor{sensor_id: sid} = sensor, room}, %{sensor_id: sid} = state) do
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floor_x = (room.x || 0.0) + (sensor.x || 0.0)
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@@ -122,45 +250,26 @@ defmodule Localiser.Localisation.Sensor.Server do
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{:noreply, %{state | floor_x: floor_x, floor_y: floor_y}}
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end
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# Ignore PubSub messages not relevant to this server.
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def handle_info(_msg, state), do: {:noreply, state}
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# Private
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defp finalize_calibration(buffer, state) do
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rssi_ref = median(buffer)
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sensor_struct = %Sensor{id: state.sensor_db_id, sensor_id: state.sensor_id}
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case Sensors.add_calibration(sensor_struct, %{
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rssi_ref: rssi_ref,
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path_loss_exp: state.path_loss_exp,
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calibrated_at: DateTime.utc_now()
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}) do
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{:ok, _calibration} ->
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Logger.info("[Sensor.Server] Calibration complete for #{state.sensor_id}: rssi_ref=#{rssi_ref}")
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MQTTConnection.publish("localiser/sensor/#{state.sensor_id}/cmd", ~s({"action":"calibrate_stop"}))
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Phoenix.PubSub.broadcast(Localiser.PubSub, "sensors", {:calibration_complete, state.sensor_id})
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{:noreply, %{state | rssi_ref: rssi_ref, mode: :ok}}
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{:error, reason} ->
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Logger.error("[Sensor.Server] Failed to save calibration for #{state.sensor_id}: #{inspect(reason)}")
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{:noreply, %{state | mode: :ok}}
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end
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defp broadcast_calibration(sensor_id, message) do
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Phoenix.PubSub.broadcast(Localiser.PubSub, "calibration:#{sensor_id}", message)
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end
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defp median(list) do
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sorted = Enum.sort(list)
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len = length(sorted)
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mid = div(len, 2)
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if rem(len, 2) == 0 do
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round((Enum.at(sorted, mid - 1) + Enum.at(sorted, mid)) / 2)
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else
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Enum.at(sorted, mid)
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end
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defp render_stage(%{distance: d, mean_rssi: r, readings: readings}) do
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%{distance: d, mean_rssi: r, readings: Enum.map(readings, fn {rssi, outlier} -> %{rssi: rssi, outlier: outlier} end)}
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end
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defp samples_needed do
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Application.get_env(:localiser, :calibration_samples, @default_samples)
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end
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defp mean(list) do
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Enum.sum(list) / length(list)
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end
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# d = 10 ^ ((rssi_ref - rssi) / (10 * n))
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defp rssi_to_distance(rssi, rssi_ref, path_loss_exp) do
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:math.pow(10.0, (rssi_ref - rssi) / (10.0 * path_loss_exp))
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end
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