Horizon monitoring for longwall system

1. A monitoring device for a longwall mining system including a shearer having a first cutter drum and a second cutter drum, the monitoring device comprising:

a memory; and

an electronic processor coupled to the memory and in communication with the shearer, the electronic processor configured to

receive shearer position data from a shearer sensor configured to determine a position of at least one selected from the group of the shearer, the first cutter drum, and the second cutter drum;

identify from the shearer position data, a first transition point indicative of a start point of a discrete shear cycle;

identify, from the shearer position data, a second transition point indicative of an end point of the discrete shear cycle;

generate profile data for the discrete shear cycle based on the shearer position data, the first transition point, and the second transition point; and

generate an alert, for display on a display screen, based on analysis of the profile data.

2. The monitoring device of claim 1 , wherein the electronic processor is configured to identify the first transition point indicative of the start point and the second transition point indicative of the end point based on identifying from the shearer position data at least one selected from a group consisting of a turn point of the shearer, a change of direction of the shearer, a change in height of the first cutter drum, and a change in height of the second cutter drum.

3. The monitoring device of claim 1 , wherein the shearer position data includes a time series data set including at least one selected from the group of a position of the shearer, a height of the first cutter drum, and the height of the second cutter drum sensed relative to time, and the electronic processor is configured to identify the first transition point indicative of the start point and the second transition point indicative of the end point from respective inflection points in the time series data set.

4. The monitoring device of claim 1 , wherein the electronic processor is included in at least one of the group consisting of a cloud computing device, a local computing device, and a mobile computing device.

5. The monitoring device of claim 1 , wherein the discrete shear cycle corresponds to a series of shear movements implemented by a shearing mining machine to extract one web of coal.

6. A method of monitoring a longwall shearing mining machine in a longwall mining system including a shearer having a first cutter drum and a second cutter drum, the method comprising:

receiving, by an electronic processor, shearer position data from a shearer sensor configured to determine a position of at least one selected from the group of the shearer, the first cutter drum, and the second cutter drum;

identifying, by the electronic processor, from the shearer position data, a first transition point indicative of a start point of a discrete shear cycle;

identifying, by the electronic processor, from the shearer position data, a second transition point indicative of an end point of the discrete shear cycle;

generating profile data, by the electronic processor, for the discrete shear cycle based on the shearer position data, the first transition point, and the second transition point; and

generating an alert, for display on a display screen, based on analysis of the profile data.

7. The method of claim 6 , wherein identifying the first transition point indicative of the start point and identifying the second transition point indicative of the end point are based on identifying, from the shearer position data, at least one selected from a group consisting of a turn point of the shearer, a change of direction of the shearer, a change in height of the first cutter drum, and a change in height of the second cutter drum.

8. The method of claim 6 , wherein the shearer position data includes a time series data set including at least one selected from the group of a position of the shearer, a height of the first cutter drum, and the height of the second cutter drum sensed relative to time, and

wherein identifying the first transition point indicative of the start point and the second transition point indicative of the end point are based on identifying respective inflection points in the time series data set.

9. The method of claim 6 , wherein the shearer position data includes a time series data set including at least one selected from the group of a position of the shearer, a height of the first cutter drum, and the height of the second cutter drum sensed relative to time, and

wherein identifying the first transition point indicative of the start point and the second transition point indicative of the end point are based on searching the time series data set for minima and maxima corresponding to gate shuffle points.

10. The method of claim 6 , wherein the discrete shear cycle is a current shear cycle and further comprising accessing profile data obtained over a previous shear cycle, and comparing the profile data of the previous shear cycle to the profile data of the current shear cycle.

11. The method of claim 10 , wherein the profile data includes a shear cycle position profile based on the start point and the end point for the current shear cycle, and wherein the electronic processor is configured to determine whether a difference between the shear cycle position profile of the previous shear cycle and the shear cycle position profile of the current shear cycle exceeds a predetermined threshold.

12. The method of claim 10 , wherein the alert is generated in response to the difference between the profile data of the current shear cycle and the profile data of the previous shear cycle exceeding a predetermined threshold.

13. The method of claim 10 , wherein the electronic processor is configured to filter the profile data to reduce a number of data points to be analyzed as profile data.

14. The method of claim 13 , wherein filtering the profile data includes setting the data point to be analyzed to one selected from a group consisting of an average value of consecutive data points, a greatest value of consecutive data points, a lowest value of consecutive data points, and a median value of consecutive data points.

15. The method of claim 6 , wherein the electronic processor is included in at least one of the group consisting of a cloud computing device, a local computing device, and a mobile computing device.

16. A longwall mining system comprising:

a shearer including

a first cutter drum;

a second cutter drum;

a shearer sensor configured to determine a position of at least one selected from the group of the shearer, the first cutter drum, and the second cutter drum; and

an electronic processor in communication with the shearer, the processor configured to:

receive shearer position data from the shearer sensor;

identify, from the shearer position data, a first transition point indicative of a start point of a discrete shear cycle;

identify, from the shearer position data, a second transition point indicative of an end point of the discrete shear cycle;

generate profile data for the discrete shear cycle based on the shearer position data, the first transition point, and the second transition point; and

generating an alert based on analysis of the profile data.

17. The longwall mining system of claim 16 , wherein, to identify the first transition point indicative of the start point and identify the second transition point indicative of the end point, the electronic processor is configured to identify, from the shearer position data, at least one selected from a group consisting of a turn point of the shearer, a change of direction of the shearer, a change in height of the first cutter drum, and a change in height of the second cutter drum.

18. The longwall mining system of claim 16 , wherein the shearer position data includes a time series data set including at least one selected from the group of a position of the shearer, a height of the first cutter drum, and the height of the second cutter drum sensed relative to time, and

wherein, to identify the first transition point indicative of the start point and the second transition point indicative of the end point, the electronic processor is configured to identify respective inflection points in the time series data set.

19. The longwall mining system of claim 16 , wherein the shearer position data includes a time series data set including at least one selected from the group of a position of the shearer, a height of the first cutter drum, and the height of the second cutter drum sensed relative to time, and

wherein, to identify the first transition point indicative of the start point and the second transition point indicative of the end point, the electronic processor is configured to search the time series data set for minima and maxima corresponding to gate shuffle points.

20. The longwall mining system of claim 16 , wherein the electronic processor is included in at least one of the group consisting of a cloud computing device, a local computing device, and a mobile computing device.