IP Library › Granted Patent US 12,258,726
Granted Patent B2
US 12,258,726 · App. 17/036,325 · Granted Mar 25, 2025

Operation support system for construction machine and construction machine

Inventors: Mengmeng Li (Kanagawa, JP); Masaki Ogawa (Kanagawa, JP); Ayano Shinato (Kanagawa, JP)
Assignee: SUMITOMO HEAVY INDUSTRIES, LTD.
E02F3/434E02F9/2045E02F9/261G06F18/2148G06F18/2185G06N20/00G06V10/7788G06V20/13G06V20/17G06V20/56
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Quick Facts
Patent No.
US 12,258,726
App. No.
17/036,325
Granted
Mar 25, 2025
Kind
B2
Abstract

An operation support system for a construction machine includes a memory that stores a program and a processor configured to execute the program stored in the memory to perform a process. The process includes generating multiple operation patterns or multiple arrangement patterns for the construction machine such that a rating regarding a predetermined target index becomes relatively high, obtaining environmental information of the construction machine to be supported, and outputting, based on the multiple operation patterns or the multiple arrangement patterns, an operation pattern or an arrangement pattern with which the rating regarding the predetermined target index of an operation of the construction machine to be supported becomes relatively high under an environment corresponding to the obtained environmental information.

Claims (25)

1. An operation support system for a construction machine including an attachment, the operation support system comprising:

a memory that stores a program; and

a processor configured to execute the program stored in the memory to perform a process including

generating multiple operation patterns or multiple arrangement patterns for the construction machine under different environmental conditions with respect to each of a plurality of different types of operations including an operation that moves the attachment, such that each of the operation or arrangement patterns generated with respect to each of the plurality of different types of operations maximizes a rating regarding a predetermined target index under each of the different environmental conditions, said generating including

simulating an operation or an arrangement of the construction machine to generate an operation pattern or an arrangement pattern for the construction machine, and

performing reinforcement learning to generate an operation pattern or an arrangement pattern for the construction machine,

obtaining environmental information of the construction machine,

selecting, based on the generated operation patterns or the generated arrangement patterns, an operation pattern or an arrangement pattern that maximizes the rating regarding the predetermined target index under an environment corresponding to the obtained environmental information with respect to a type of operation specified among the plurality of different types of operations, and

outputting the selected operation pattern or arrangement pattern.

2. The operation support system for the construction machine as claimed in claim 1 , wherein

the process further includes obtaining result information related to past operation results or past arrangement results of the construction machine; and

the multiple operation patterns or the multiple arrangement patterns are generated based on result information with a rating higher than or equal to a predetermined standard regarding the target index among the obtained result information.

3. The operation support system for the construction machine as claimed in claim 1 , wherein the process further includes updating the multiple operation patterns or the multiple arrangement patterns based on an operation pattern or an arrangement pattern generated and used for the construction machine.

4. The operation support system for the construction machine as claimed in claim 1 , wherein the processor is configured to execute the program stored in the memory to perform the process, the process further including

receiving a signal from the construction machine, the signal including the environmental information of the construction machine and specifying the type of operation among the plurality of different types of operations.

5. The operation support system for the construction machine as claimed in claim 1 , wherein the plurality of different types of operations include an excavation operation, a loading operation, and a compaction operation.

6. A construction machine, comprising:

an attachment;

a memory that stores a program; and

a processor configured to execute the program stored in the memory to perform a process including

generating multiple operation patterns or multiple arrangement patterns for the construction machine under different environmental conditions with respect to each of a plurality of different types of operations including an operation that moves the attachment, such that each of the operation or arrangement patterns generated with respect to each of the plurality of different types of operations maximizes a rating regarding a predetermined target index under each of the different environmental conditions

obtaining environmental information around the construction machine,

outputting, based on the multiple operation patterns or the multiple arrangement patterns, an operation pattern or an arrangement pattern that maximizes the rating regarding the predetermined target index under an environment corresponding to the obtained environmental information with respect to a type of operation specified among the plurality of different types of operations, and

controlling an operation of the construction machine based on the operation pattern or the arrangement pattern that is output.

7. The construction machine as claimed in claim 6 , wherein the plurality of different types of operations include an excavation operation, a loading operation, and a compaction operation.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 4, 2022
From: LI, MENGMENG; SHINATO, AYANO
To: SUMITOMO HEAVY INDUSTRIES, LTD.
Reel/Frame 061655/0638 →
Priority Claims (1)
JP 2018-070359 · Mar 30, 2018 · national
Continuity (2)
Continuation PCTJP2019014344 · Mar 29, 2019
Related Publication 20210012163A1 · Jan 14, 2021
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