CUTTING PATH DETERMINATION FOR REMOTE CUTTER
A method and system for using a remote cutter to make cuts, for example in a pipe liner. An automated cutting path is computed for a cutting tool as a function of shape and position data relating to an opening of the branch conduit into the main pipe. The cutting tool is moved along the computed cutting path to cut the liner for reestablishing fluid communication between a branch conduit extending from a host pipe and the lined main pipe.
1 . A method for determining a cutting path to re-establish fluid communication between a main pipe and a branch conduit extending from the main pipe following lining of the main pipe with a liner, the method comprising computing an automated cutting path for a cutting tool as a function of shape and position data relating to an opening of the branch conduit into the main pipe, moving the cutting tool along the computed cutting path to cut the liner for reestablishing fluid communication between the branch conduit and the main pipe.
2 . The method of claim 1 further comprising creating a digital model of the branch conduit opening based on the shape and position data, and wherein calculating the cutting path includes calculating the cutting path to avoid contact of the cutting tool with the modelled branch conduit opening.
3 . The method of claim 2 wherein the digital model defines the shape and position of the branch conduit opening relative to the main pipe.
4 . The method of claim 1 comprising executing machine learning to determine the path.
5 . A method for scanning and cutting a liner in a pipe, the method comprising, creating a digital map of an environment using a plurality of sensors, identifying a first location of a service based on a scan frame of reference, navigating a robot to the first location utilizing the digital map and based on a robot frame of reference, computing a cutting path based upon the digital map; and executing a cut at the first location.
6 . The method of claim 5 further comprising identifying a second location of a second service and navigating the robot to the second location and executing a cut at the second location.
7 . The method of claim 5 wherein identifying the first location comprises determining the first location based on distance from an origin.
8 . The method of claim 5 wherein computing the cutting path includes consideration of at least one of a type of cut, a bit selected for use to make the cut and a speed at which the cut is to be made.
9 . The method of claim 5 wherein said step of creating a digital map is carried out by a first robot, and said steps of identifying a first location, navigating the robot and computing the cutting path are carried out by a second robot, the method further comprising determining a second frame of reference for sensors of the second robot and translating the data from the digital map created by the sensors of the first robot to the second frame of reference of the second robot thereby to compensate for differences in construction between the first robot and the second robot.
10 . The method of claim 1 further comprising defining the scan frame of reference relative to a location in a global frame of reference and wherein said step of creating a digital map comprises locating features within the pipe relative to the scan frame of reference.
11 . A system for cutting an opening in a liner lining a host pipe for fluid communication with a branch conduit, the system comprising a robot including a cutting tool extendable from the robot for cutting the liner, the robot being sized to be received in and move along the host pipe after liner is received in the host pipe, the robot being operatively connected to a controller configured to compute a cutting path for the cutting tool using data regarding the shape and position of an opening of the branch conduit into the main pipe, and to move the cutting tool along the computed cutting path to cut the liner for reestablishing fluid communication between the branch conduit and the host pipe.
12 . The system of claim 11 wherein the controller is configured to reference a digital model of the branch conduit opening created in a scan of the host pipe prior to being lined with the liner, and wherein the controller computes the cutting path to avoid contact of the cutting tool with the modelled branch conduit opening.
13 . The system of claim 12 wherein the digital model defines the shape and position of the branch conduit opening relative to the host pipe.
14 . The system of claim 11 wherein the controller is programmed for machine learning to determine the cutting path.
15 . A system for scanning and cutting a liner in a pipe, the system comprising a robot having a cutting tool operable to cut through the liner, and a controller for controlling operation of the robot, the controller being configured to reference a digital map of an environment using a plurality of sensors made in a scan of the pipe prior to lining the pipe with the liner, the controller being configured to identify a first location of a service based on a scan frame of reference, and navigating the robot to the first location utilizing the digital map and based on a robot frame of reference, the controller being programmed to compute a cutting path based upon the digital map; and control the cutting tool to execute a cut of the liner at the first location.
16 . The system of claim 15 wherein the controller is configured to identify a second location of a second service, navigate the robot to the second location and executing a cut using the cutting tool at the second location.
17 . The system of claim 15 wherein the controller identifies the first location by determining the first location based on distance from an origin.
18 . The system of claim 15 wherein the controller computes the cutting path considering at least one of a type of cut, a bit selected for use to make the cut and a speed at which the cut is to be made.
19 . The system of claim 15 wherein the controller receives the digital map that is created by a different robot, the controller being configured to determine a second frame of reference for sensors of the second robot and translating the data from the digital map created by the sensors of the first robot to the second frame of reference of the second robot thereby to compensate for differences in construction between the first robot and the second robot.