Table 1 Description of RGB image sample set based on CGSRS schemes with multi-scene and all-condition TVRCF.

From: Scheme evaluation method of coal gangue sorting robot system with time-varying multi-scenario based on deep learning

Belt speed (m/s)

Robot number

Scheduling rule combination

Example

RGB image sample set

0.1

1

FIFO

(1, 1)

Subset{(1, 1) | 0.1}

MF

(1, 2)

Subset{(1, 2) | 0.1}

SPT

(1, 3)

Subset{(1, 3) | 0.1}

2

FIFO, MF

(2, 1)

Subset{(2, 1) | 0.1}

FIFO, FIFO

(2, 2)

Subset{(2, 2) | 0.1}

MF, MF

(2, 3)

Subset{(2, 3) | 0.1}

FIFO, SPT

(2, 4)

Subset{(2, 4) | 0.1}

SPT, SPT

(2, 5)

Subset{(2, 5) | 0.1}

MF, SPT

(2, 6)

Subset{(2, 6) | 0.1}

3

FIFO, MF, SPT

(3, 1)

Subset{(3, 1) | 0.1}

FIFO, FIFO, FIFO

(3, 2)

Subset{(3, 2) | 0.1}

MF, MF, MF

(3, 3)

Subset{(3, 3) | 0.1}

SPT, SPT, SPT

(3, 4)

Subset{(3, 4) | 0.1}

FIFO, FIFO, MF

(3, 5)

Subset{(3, 5) | 0.1}

FIFO, FIFO, SPT

(3, 6)

Subset{(3, 6) | 0.1}

FIFO, MF, MF

(3, 7)

Subset{(3, 7) | 0.1}

FIFO, SPT, SPT

(3, 8)

Subset{(3, 8) | 0.1}

MF, SPT, SPT

(3, 9)

Subset{(3, 9) | 0.1}

MF, MF, SPT

(3, 10)

Subset{(3, 10) | 0.1}

···

···

···

···

···

1.0

1

FIFO

(1, 1)

Subset{(1, 1) | 1.0}

MF

(1, 2)

Subset{(1, 2) | 1.0}

SPT

(1, 3)

Subset{(1, 3) | 1.0}

2

FIFO, MF

(2, 1)

Subset{(2, 1) | 1.0}

FIFO, FIFO

(2, 2)

Subset{(2, 2) | 1.0}

MF, MF

(2, 3)

Subset{(2, 3) | 1.0}

FIFO, SPT

(2, 4)

Subset{(2, 4) | 1.0}

SPT, SPT

(2, 5)

Subset{(2, 5) | 1.0}

MF, SPT

(2, 6)

Subset{(2, 6) | 1.0}

3

FIFO, MF, SPT

(3, 1)

Subset{(3, 1) | 1.0}

FIFO, FIFO, FIFO

(3, 2)

Subset{(3, 2) | 1.0}

MF, MF, MF

(3, 3)

Subset{(3, 3) | 1.0}

SPT, SPT, SPT

(3, 4)

Subset{(3, 4) | 1.0}

FIFO, FIFO, MF

(3, 5)

Subset{(3, 5) | 1.0}

FIFO, FIFO, SPT

(3, 6)

Subset{(3, 6) | 1.0}

FIFO, MF, MF

(3, 7)

Subset{(3, 7) | 1.0}

FIFO, SPT, SPT

(3, 8)

Subset{(3, 8) | 1.0}

MF, SPT, SPT

(3, 9)

Subset{(3, 9) | 1.0}

MF, MF, SPT

(3, 10)

Subset{(3, 10) | 1.0}