Optical detection and analysis of crane hoist and rope

1. A crane comprising:

a carrier;

a superstructure coupled to the carrier, the superstructure including a boom;

a hoist coupled to the superstructure, the hoist having a hoist drum and a rope configured to be wound and unwound around the hoist drum; and

an optical detection system comprising:

an image capture assembly comprising one or more image capture devices positioned to have a field of view in which the hoist is positioned, and configured to capture an image of the hoist; and

an optical control system configured to:

detect one or more objects in the captured image, the one or more objects selected from: the rope, the hoist drum, one or more wraps of rope on the hoist drum and a marker on the hoist;

analyze the one or more detected objects in the captured image; and

determine a condition of a crane component based on the analysis of the one or more detected objects,

wherein a detected object of the one or more detected objects is the one or more wraps of rope on the hoist drum,

wherein the one or more detected wraps of rope on the hoist drum are analyzed to count a number of wraps of rope on the hoist drum,

wherein the determined condition of a crane component is one or more of: an amount of rope payed out or unwound from the hoist drum, a hook block height, anti-two block, hoist drum direction of movement, current layer or last layer of the rope on the hoist drum, hoist drum winding or unwinding speed, hoist drum movement, and

wherein the determined condition is determined based on the number of wraps of rope detected on the hoist drum.

2. The crane of claim 1 , wherein the one or more image capture devices include a camera.

3. The crane of claim 1 , wherein a detected object of the one or more detected objects further includes one or more of the rope, the hoist and the marker, and wherein the determined condition of the crane component is further selected from one or more of: hoist erratic winding of the rope, rope size, rope pull through, diving or bury on the hoist drum, rope climbing on the hoist drum; rope wrap tightness on the hoist drum; reverse wrapping of the rope, rope type including lay type, loss of tension in the rope, and rope damage or wear.

4. The crane of claim 1 , wherein the rope comprises a plurality of strands, and each strand comprises a plurality of wires, wherein the optical control system analyzes the one or more detected objects to identify edges of one or more of the rope, the strand and the wire.

5. The crane of claim 4 , wherein the optical control system further analyzes the one or more detected objects to determine parallelness of the edges of the rope, strand or wire.

6. The crane of claim 1 , wherein the optical control system analyzes the one or more detected objects to identify a number of pixels extending across a width of the one or more detected objects.

7. The crane of claim 1 , wherein the optical control system analyzes the one or more detected objects to identify a marker.

8. The crane of claim 7 , wherein the optical control system analyzes the marker to retrieve information associated with the marker.

9. The crane of claim 1 , wherein the optical detection system is configured to generate a signal in response to determining a condition of the one or more detected objects.

10. An optical detection system for a crane having a hoist including a hoist drum and a rope configured to be wound and unwound around the hoist drum, the system comprising:

an image capture assembly comprising one or more image capture devices positioned to have a field of view in which the hoist is positioned, and configured to capture an image of the hoist; and

an optical control system configured to:

detect one or more objects in the captured image, the one or more objects selected from: the rope, the hoist drum, a wrap of rope on the hoist drum and a marker on the hoist;

analyze the one or more detected objects; and

determine a condition of a crane component based on the analysis of the one or more detected objects,

wherein a detected object of the one or more detected objects is the one or more wraps of rope on the hoist drum,

wherein the one or more detected wraps of rope on the hoist drum are analyzed to count a number of wraps of rope on the hoist drum,

wherein the determined condition of a crane component is one or more of: an amount of rope payed out or unwound from the hoist drum, a hook block height, anti-two block, hoist drum direction of movement, current layer or last layer of the rope on the hoist drum, hoist drum winding or unwinding speed, hoist drum movement, and wherein the determined condition is determined based on the number of wraps of rope detected on the hoist drum.

11. The optical detection system of claim 10 , wherein the optical control system analyzes the one or more detected objects to detect edges and determine a parallelness of the edges of one or more of wraps of the rope, strands of the rope or wires of the strand.

12. The optical detection system of claim 10 , wherein the optical control system analyzes the one or more detected objects to identify a number of pixels extending across a width of the one or more detected objects.

13. The optical detection system of claim 10 , wherein the optical control system analyzes the one or more detected objects to identify a marker and retrieves information associated with the marker.

14. A method of determining a condition of a crane component comprising:

capturing, with an image capture assembly, an image of a hoist on a crane;

detecting, with an optical control system, one or more objects in the captured image, wherein the one or more objects include: the hoist, a hoist drum, a rope configured to be wound or unwound on the hoist drum, and one or more wraps of the rope on the hoist drum;

analyzing, with the optical control system, the detected objects; and

determining, with the optical control system, a condition of a crane component based on the analysis of the detected objects,

wherein a detected object of the one or more detected objects is the one or more wraps of rope on the hoist drum,

wherein the one or more detected wraps of rope on the hoist drum are analyzed to count a number of wraps of rope on the hoist drum,

wherein the determined condition of a crane component is one or more of: an amount of rope payed out or unwound from the hoist drum, a hook block height, anti-two block, hoist drum direction of movement, current layer or last layer of the rope on the hoist drum, hoist drum winding or unwinding speed, hoist drum movement, and

wherein the determined condition is determined based on the number of wraps of rope detected on the hoist drum.

15. The method of claim 14 , wherein the detecting one or more objects further includes detecting a marker on the hoist.

16. The method claim 15 , wherein the analyzing the detected objects further includes one or more of: identifying edges of the rope, one or more strands of the rope and one or more wires of the strand and determining a parallelness of the detected edges, identifying a number of pixels extending across a width of one or more of the detected objects, identifying a direction of lay of the rope, and identifying the marker and retrieving information associated with the marker.

17. The method of claim 14 , wherein a detected object of the one or more detected objects further includes one or more of the rope, the hoist and the marker, and wherein the determined condition of the crane component is further selected from one or more of: hoist erratic winding of the rope, rope pull through, diving or bury on the hoist drum, rope climbing on the hoist drum; rope wrap tightness on the hoist drum; reverse wrapping of the rope, rope type including lay type, loss of tension in the rope, and rope damage or wear.

18. The method of claim 14 , wherein the method further comprises generating a signal in response to the condition of the crane component.