A supercritical foamed material classification inventory management method for electrical appliance protection

By constructing a multidimensional feature tensor and combining Euclidean distance and cosine similarity comparison, the problem of performance mismatch in the inventory management of electrical protection materials was solved, achieving accurate matching and efficient scheduling.

CN122114821BActive Publication Date: 2026-07-24FUJIAN XINRUI NEW MATERIALS TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
FUJIAN XINRUI NEW MATERIALS TECHNOLOGY CO LTD
Filing Date
2026-04-29
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing inventory management systems cannot accurately match the multidimensional attribute requirements of electrical protection materials, resulting in performance mismatch and the downgrading of high-grade materials, making it difficult to meet the complex needs of electrical protection.

Method used

By constructing a multidimensional feature tensor and mapping it to the attribute space coordinate system, and combining spatial Euclidean distance and cosine similarity of the included angle for dual threshold comparison, materials that are highly compatible with electrical protection requirements can be accurately matched.

Benefits of technology

It achieves precise matching of electrical protection materials, ensuring that the antistatic, flame retardant, pressure-resistant and thermal stability indicators fully meet the requirements of the target electrical components, optimizes the utilization rate of inventory materials, and improves the accuracy of inventory sorting and outbound matching.

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Abstract

The application discloses a kind of supercritical foaming material classification inventory management method for electrical protection, belong to material intelligent warehousing technical field, specifically include: first, obtain the antistatic index of the supercritical foaming material to be handled, flame-retardant grade, compressive yield strength and thermal decomposition temperature four basic attribute parameters;Then the parameters are constructed as multidimensional feature tensor, mapped to the preset attribute space coordinate system, according to the coordinate distribution to generate target warehouse classification label, the tensor, label and material storage coordinates are associated and stored in the inventory database;Subsequently, receive target electrical component protection task instruction, extract the demand attribute threshold of antistatic, flame-retardant, compression and thermal stability, generate dimension-matched demand feature tensor and place in the coordinate system;Then calculate the space euclidean distance and the included angle cosine similarity of both;Finally, according to double-threshold comparison, the target multidimensional feature tensor is screened out, the corresponding discharge matching scheduling instruction is generated and sent to the inventory control terminal.
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