Travelling grate condition monitoring

Patent metadata

Field	Value
Publication number	US-12475550-B2
Application number	US-202017631545-A
Country	US
Kind code	B2
Filing date	Jul 22, 2020
Priority date	Jul 30, 2019
Publication date	Nov 18, 2025
Grant date	Nov 18, 2025

Abstract

A system and method for monitoring the condition of a travelling grate machine including univocally identifying each pallet car; collecting a plurality of condition indicating parameters for the wheels, the grate bars, the car body and/or the side walls of the pellet car; attributing the collected condition indicating parameters to an individual pallet car; storing the collected condition indicating parameters for each pallet car in a database; evaluating the condition of the travelling grate machine; comparing the different condition indicating parameters collected by the different sensor means of each pallet car to reference parameters and/or to previously collected condition indicating parameters of that same pallet car; identifying the faults in each pallet car based on this comparison; classifying each pallet car according to its need of maintenance based on the severity of different identified faults; and determining the pallet car in most need of maintenance based on this classification.

First claim

The invention claimed is:

1 . A system for monitoring a condition of a travelling grate machine, in particular a pelletizing or sintering machine, said travelling grate machine comprising a plurality of pallet cars comprising a car body with wheels, side walls and a perforate floor with a plurality of grate bars, the system comprising:
identification means for univocally identifying each individual pallet car among the plurality of pallet cars as the plurality of pallet cars traverse the travelling grate machine; sensor means for continuously collecting a plurality of condition indicating parameters, as the plurality of pallet cars traverse the travelling grate machine, before performing maintenance or emergency stoppage of the travelling grate machine, wherein said sensor means comprises:
a first sensor means for collecting first condition indicating parameters indicative of a condition of the wheels of the pallet car;
a second sensor means for collecting second condition indicating parameters indicative of a condition of the grate bars of the pallet car; and
a third sensor means for collecting third condition indicating parameters indicative of a condition of the car body and/or side walls of the pallet car;
processor means for attributing the collected first, second and third condition indicating parameters to the individual pallet car; storage means for storing the collected first, second and third condition indicating parameters for the individual pallet car in a database; evaluation means executed by the processor means for evaluating the condition of the travelling grate machine as the plurality of pallet cars traverse the travelling grate machine, wherein said evaluation means comprises:
compares the first, second and third condition indicating parameters collected by the first, second and third sensor means of each pallet car to reference parameters and/or to previously collected condition indicating parameters of that the individual pallet car;
identifies faults in each pallet car based on this comparison;
classifies each pallet car according to a need of maintenance based on a severity of the identified faults; and
determines a damaged pallet car among the plurality of pallet cars having a greatest need of maintenance based on this classification; and
wherein the processor means controls the travelling grate machine to perform an emergency stoppage that stops the traversing of the plurality of pallet cars in response to determining the damaged pallet car.

2 . The system according to claim 1 , wherein the first, second and third sensor means comprises contactless sensors.

3 . The system according to claim 1 , wherein the first, second and third sensor means is configured to capture an image of a part of the pallet car, wherein the storage means is configured to store the captured image and wherein the evaluation means is configured to compare the captured image with a reference image and/or a previously stored image.

4 . The system according to claim 1 , wherein the system is configured to monitor a presence and/or a rotation of the wheels of the pallet car.

5 . The system according to claim 1 , wherein the system is configured to monitor a presence of grate bars and/or a size of a gap between neighboring grate bars.

6 . The system according to claim 1 , wherein the system is configured to monitor a shape and/or a size and/or an orientation of the grate bars of a pallet car.

7 . The system according to claim 1 , wherein the system is configured to monitor a presence of cracks in the car body and/or the side walls of the pallet car.

8 . The system according to claim 1 , wherein the system comprises a fourth sensor means for collecting fourth condition indicating parameters indicative of a condition of grate bar holders and/or bolts and/or an upper seal and/or a lower seal.

9 . A method for monitoring a condition of a travelling grate machine, in particular a pelletizing or sintering machine, said travelling grate machine comprising a plurality of pallet cars comprising a car body with wheels, side walls and a perforate floor with a plurality of grate bars, the method comprising:
univocally identifying each individual pallet car among the plurality of pallet cars as the plurality of pallet cars traverse the travelling grate machine; continuously collecting a plurality of condition indicating parameters, as the plurality of pallet cars traverse the travelling grate machine, before performing maintenance or emergency stoppage of the travelling grate machine, wherein the collected indicative parameters include:
first condition indicating parameters indicative of a condition of the wheels of the pallet car;
second condition indicating parameters indicative of a condition of the perforate floor of the pallet car; and
third condition indicating parameters indicative of a condition of the car body and/or the side walls of the pallet car;
attributing, by a processor means, the collected condition indicating parameters to the individual pallet car; storing the collected condition indicating parameters for each pallet car in a database; performing, by the processor means, an evaluation means for evaluating a condition of the travelling grate machine as the plurality of pallet cars traverse the travelling grate machine, wherein said evaluation means comprises:
comparing the first, second and third condition indicating parameters of each pallet car to reference parameters and/or to previously collected condition indicating parameters of that same pallet car;
identifying faults in each pallet car based on this comparison;
classifying each pallet car according to a need of maintenance based on a severity of the identified faults;
determining a damaged pallet car among the plurality of pallet cars having a greatest need of maintenance based on this classification; and
controlling, by the processor means, the travelling grate machine to perform an emergency stoppage that stops the traversing of the plurality of pallet cars in response to determining the damaged pallet car.

10 . The method according to claim 9 , further comprising:
capturing an image of a pallet car; assigning a pallet car reference to the captured image; storing the captured image in a database; and comparing the captured image with a reference image or a previously stored image.

11 . The method according to claim 9 , further comprising:
collecting fourth condition indicating parameters representative of a condition of grate bar holders, bolts, an upper seal, and/or a lower seal.

Assignees

• Wurth Paul Sa

Inventors

• Strüber Georg
• Navez David
• Van Dorpe Pierre

Classifications

• G06T2207/30136

  Metal · CPC title

• F27D21/00

  Arrangement of monitoring devices; Arrangement of safety devices · CPC title

• F27D3/123

  Furnace cars · CPC title

• F27B21/06 Primary

  Endless-strand sintering machines · CPC title

• G06F16/583

  using metadata automatically derived from the content · CPC title