Smart landing platform with data-driven analytic procedures for unmanned aerial vehicle pre-flight diagnosis
A smart landing platform system includes a flat and rigid platform for landing a drone and having a geometrical center, a center of gravity and a weight, a digital scale disposed beneath the platform for providing measurements of a weight distribution of the platform and the drone, and a control unit connected to the digital scale for instantaneous data collection and storing logic including a statistical inference algorithm based on a nonlinear least squares model to perform automated pre-flight safety check for the drone.
1 . A method of performing automated pre-flight safety check for a drone with propellers, the method comprising the steps of:
providing a smart landing platform system including;
a platform having a top side and a bottom side and for landing a drone on the top side, the platform having a geometrical center, a center of gravity and a weight;
a digital scale disposed beneath the platform for providing measurements of a weight distribution of the platform and the drone; and
a control unit communicatively connected to the digital scale for instantaneous data collection and storing logic including a statistical inference algorithm based on a nonlinear least squares model to perform an automated pre-flight safety check for the drone; measuring the weight of the platform in different statuses;
estimating a weight change of the platform between the different statuses;
estimating a force acting on the drone and positions of the propellers based on the estimated weight change of the platform between the different statuses using a nonlinear least squares model; and
automatedly performing the pre-flight safety check for the drone to determine anomalies based on the estimated force acting on the drone and positions of the propellers with respect to respective nominal values, wherein the anomalies include damaged propellers, payload imbalance, and/or motor malfunction.
2 . The method according to claim 1 , wherein the different statuses includes a first status being a stable status when the platform is placed on the load cells without the drone on the platform, a second status being a stable status when the drone is on the platform with the propellers not spinning, and a third status being a variable status corresponding to at least one of the propellers is spinning.
3 . The method according to claim 2 , wherein the third status is a variable status corresponding to when one of the propellers is spinning.
4 . The method according to claim 1 , wherein the position of each propeller includes a center point location and orientation of the propeller.
5 . The method according to claim 1 , wherein the anomalies are determined based on a principle of a resultant of all forces acting on the drone is zero when the drone is in equilibrium.
6 . The method according to claim 1 , wherein the damaged propellers are detected by comparing the measured values of the output force against what is expected for an intact propeller.
7 . The method according to claim 1 , wherein the damaged propellers are detected by evaluating whether the center of gravity of the drone is aligned with the geometric center of the drone.
8 . The method according to claim 1 , further comprising setting an initial load on each load cell to zero before putting the platform on the load cells.
9 . The method according to claim 1 , wherein the propellers located at vertices of a regular polygon have a center overlapping with the geometrical center of the platform.
10 . The method according to claim 1 , wherein the drone has a pair of propellers connected by a rigid arm.
11 . The method according to claim 1 , wherein the drone has a plurality of pairs of propellers, each pair of propellers connected by a rigid arm.
12 . A system of integrated smart landing platforms, comprising:
a plurality of smart landing platforms for a drone, wherein the plurality of smart landing platforms are distributed at a plurality of locations, and wherein each of the plurality of smart landing platforms comprises: a platform having a top side and a bottom side and for landing a drone on the top side, the platform having a geometrical center, a center of gravity and a weight;
a digital scale disposed beneath the platform for providing measurements of a weight distribution of the platform and the drone; and
a control unit communicatively connected to the digital scale for instantaneous data collection and storing logic including a statistical inference algorithm based on a nonlinear least squares model to perform automated pre-flight safety check for the drone.
13 . The system of claim 12 , wherein at least some of the plurality of smart landing platforms are located on rooftops of buildings.
14 . The system of claim 12 , further comprising one or more charging devices capable of powering one or more drones.