Inspection device, inspection method, and inspection program for forklift lift chains
The inspection device uses machine learning to predict the risk of lift chain breakage, allowing for timely and cost-effective inspections by determining the degree of risk from rust state data.
JP2026108964APending Publication Date: 2026-07-01LOGISNEXT CO LTD
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- LOGISNEXT CO LTD
- Filing Date
- 2024-12-19
- Publication Date
- 2026-07-01
AI Technical Summary
Technical Problem
Existing lift chain inspection methods for forklifts cannot determine the degree of risk of breakage, leading to inefficient and costly frequent inspections.
Method used
An inspection device using machine learning to generate a learning model based on rust state data of forklift lift chains, predicting a fracture score to guide timely inspections.
Benefits of technology
Enables appropriate timing for lift chain inspections, reducing costs by minimizing unnecessary checks and ensuring safety through informed decision-making.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure 2026108964000001_ABST
Abstract
By understanding the condition of the lift chain and determining the degree of breakage, it becomes possible to inspect the lift chain at the appropriate time. [Solution] The inspection device 1 includes a learning model generation unit 101 that generates a learning model by machine learning using a dataset based on the relationship between state data regarding the rust condition of the lift chain 42 of the forklift 2 and a fracture score regarding the degree of breakage of the lift chain 42 of the forklift 2 as training data 106, and an acquisition unit 105 that acquires state data of the lift chain 42 of the forklift 2, and a prediction unit 103 that acquires a fracture score from the learning model by inputting the state data acquired from the acquisition unit 105 into the learning model generated by the learning model generation unit 101.
Need to check novelty before this filing date? Find Prior Art