CN-122022289-A - Cable material full life cycle management system and method

CN122022289ACN 122022289 ACN122022289 ACN 122022289ACN-122022289-A

Abstract

The application relates to a cable material full life cycle management system and method, wherein an entity perception layer is used for acquiring cable material data of the cable material full life cycle, a network transmission layer is used for transmitting the cable material data acquired by the entity perception layer to a platform service layer, the platform service layer is used for creating and maintaining a dynamic digital twin body of the cable material full life cycle, decision optimization is carried out on quality management, residue management and carbon footprint management of the cable material full life cycle based on an artificial intelligence optimization and decision center, and a management application layer is used for executing management functions of the cable material full life cycle. According to the application, by constructing the dynamic digital twin body, the data fusion and recording of the whole life cycle of the cable material can be realized, and by configuring the artificial intelligent optimization and decision center, the quality management, the residue management and the carbon footprint management schemes of the whole life cycle of the cable material can be analyzed and optimized in real time, so that the whole chain data penetration and intelligent decision can be realized, and the guarantee is provided for the industry collaborative management.

Inventors

ZHANG ZHONGQI
WANG PENG
XING SHOUJIANG
SHAO JILING
WANG MENG
LI TAO
ZHU XIANGQI

Assignees

特变电工山东鲁能泰山电缆有限公司

Dates

Publication Date: 20260512
Application Date: 20260116

Claims (10)

1. The cable material full life cycle management system is characterized by comprising an entity perception layer, a network transmission layer, a platform service layer and a management application layer, wherein the entity perception layer is used for acquiring cable material data of a cable material full life cycle, the network transmission layer is used for transmitting the cable material data acquired by the entity perception layer to the platform service layer, the platform service layer is used for creating and maintaining a dynamic digital twin body of the cable material full life cycle, and decision optimization is carried out on quality management, residue management and carbon footprint management of the cable material full life cycle based on an artificial intelligence optimization and decision center, and the management application layer is used for executing management functions of the cable material full life cycle.
2. The system of claim 1, wherein the physical awareness layer comprises a multi-dimensional data acquisition unit and an RFID electronic tag unit, wherein the RFID electronic tag unit is implanted in a cable material body, and wherein the multi-dimensional data comprises appearance data, weight data, electrical performance data, environmental suitability data and running state data; the multi-dimensional data acquisition units are respectively arranged in the cable material out/in storage detection area, the storage area and key nodes of the production line; The multidimensional data acquisition unit comprises one or more of a visual sensor, a bearing detection sensor, electrical performance testing equipment, a mechanical performance tester, an environment testing sensor, a sizing and temperature measuring sensor, a pressure sensor, a laser radar scanning station and running state monitoring equipment.
3. The system of claim 1, wherein the platform services layer comprises a digital twin engine, wherein the digital twin engine is configured to create and maintain a dynamic digital twin of a cable material full life cycle, wherein the cable material full life cycle comprises a full flow of cable material from a production design stage to a recovery stage, and wherein the dynamic digital twin is configured to record cable material data of the cable material full life cycle.
4. The system of claim 1, wherein the platform service layer employs a machine learning model to analyze cable material data updated in real time by the dynamic digital twin body for a full life cycle of the cable material, and to predict quality defects of the cable material, wherein the machine learning model comprises at least one of a gradient lifting decision tree model and a random forest model; And under the condition that the quality defect of the cable material is predicted, carrying out grading early warning processing and active intervention processing.
5. The system of claim 4, wherein the platform service layer performs a first level of early warning and performs a first intervention strategy if the cable material is predicted to have a first type of quality defect; Under the condition that the second type of quality defects exist in the cable materials, carrying out second-level early warning and executing a second intervention strategy; and under the condition that the third type of quality defects exist in the cable materials, carrying out three-level early warning and executing a third intervention strategy.
6. The system of claim 1, wherein the platform service layer predicts the rate of production of excess material, the material demand trend, and the risk of material stagnation using predictive analysis algorithms; determining a target blanking scheme by adopting an optimized cutting algorithm according to the predicted residual material generation rate, the material demand trend and the risk of the dead material, wherein a target to be realized of the target blanking scheme comprises the minimum residual material; And according to the predicted odds and ends, the material demand trend and the risk of the dead material, an intelligent matching algorithm is adopted for realizing multi-objective optimal matching, and a target odds and ends distribution scheme is obtained, wherein the objective to be realized of the target odds and ends distribution scheme comprises minimizing waste, maximizing priority use, minimizing cost and minimizing the number of odds and ends.
7. The system of claim 3, wherein the platform services layer automatically correlates energy consumption data with material data for each stage of a full lifecycle of cable materials, calculates a product carbon footprint, and provides optimization suggestions.
8. The system of claim 1, wherein the platform services layer further builds a federation chain comprising a manufacturing side, a supply side, and a client side through a blockchain collaboration platform, shares links of the federation chain to trusted clients, hides links of the federation chain from untrusted clients, and performs process planning management functions, inventory management functions, production execution functions, and material traceability functions through the blockchain collaboration platform.
9. The system of claim 1, wherein the management application layer is configured to perform a management function of a full life cycle of the cable material according to data and instructions sent by the platform service layer, wherein the management function includes a full life cycle tracing function, a predictive maintenance function, a supply chain collaboration function, an intelligent scheduling and visual decision support function.
10. A method for managing the whole life cycle of a cable material, which is applied to the system for managing the whole life cycle of a cable material according to any one of claims 1-9, and comprises the following steps: creating and maintaining a dynamic digital twin body of the whole life cycle of the cable material; performing decision optimization on quality management, residue management and carbon footprint management of the whole life cycle of the cable materials based on artificial intelligence optimization and decision center; And sending data and instructions to the management application layer to execute the management function of the whole life cycle of the cable material.

Description

Cable material full life cycle management system and method Technical Field The application relates to the technical field of industrial Internet and intelligent manufacturing and supply chain management, in particular to a system and a method for managing a full life cycle of a cable material. Background With the advancement of intelligent manufacturing, the cable manufacturing industry has widely adopted enterprise resource planning (ENTERPRISE RESOURCE PLANNING, ERP for short), manufacturing execution system (Manufacturing Execution System, MES for short) and warehouse management system (Warehouse MANAGEMENT SYSTEM, WMS for short) to manage materials, but the prior art has many drawbacks. The traditional cable management mode relies on manual data entry or handheld scanning equipment, so that the problems of poor data real-time performance, low information accuracy, difficult whole process tracing, high management cost, disjoint planning and execution and the like are caused. Therefore, a cable material full life cycle management system capable of realizing full chain data penetration, intelligent decision and industry cooperation is needed. Disclosure of Invention Based on the above, it is necessary to provide a system and a method for managing the whole life cycle of a cable material, which can realize the whole chain data penetration, intelligent decision and industry cooperation. The application provides a cable material full life cycle management system, which comprises an entity perception layer, a network transmission layer, a platform service layer and a management application layer, wherein the entity perception layer is used for acquiring cable material data of a cable material full life cycle, the network transmission layer is used for transmitting the cable material data acquired by the entity perception layer to the platform service layer, the platform service layer is used for creating and maintaining a dynamic digital twin body of the cable material full life cycle, and decision optimization is carried out on quality management, residue management and carbon footprint management of the cable material full life cycle based on an artificial intelligence optimization and decision center, and the management application layer is used for executing management functions of the cable material full life cycle. In one embodiment, the entity perception layer comprises a multi-dimensional data acquisition unit and an RFID electronic tag unit, wherein the RFID electronic tag unit is implanted into a cable material body, and the multi-dimensional data comprises appearance data, weight data, electrical performance data, environment adaptability data and running state data; the multi-dimensional data acquisition units are respectively arranged in the cable material out/in storage detection area, the storage area and key nodes of the production line; The multidimensional data acquisition unit comprises one or more of a visual sensor, a bearing detection sensor, electrical performance testing equipment, a mechanical performance tester, an environment testing sensor, a sizing and temperature measuring sensor, a pressure sensor, a laser radar scanning station and running state monitoring equipment. In one embodiment, the platform service layer comprises a digital twin engine, wherein the digital twin engine is used for creating and maintaining a dynamic digital twin body of a cable material full life cycle, the cable material full life cycle comprises a full flow stage of the cable material from a production design stage to a recovery stage, and the dynamic digital twin body is used for recording cable material data of the cable material full life cycle. In one embodiment, the platform service layer adopts a machine learning model to analyze the cable material data updated in real time by the dynamic digital twin body in the whole life cycle of the cable material and predict the quality defect of the cable material, wherein the machine learning model comprises at least one of a gradient lifting decision tree model and a random forest model; And under the condition that the quality defect of the cable material is predicted, carrying out grading early warning processing and active intervention processing. In one embodiment, the platform service layer performs first-level early warning and executes a first intervention strategy under the condition that the first type of quality defects of the cable materials are predicted; Under the condition that the second type of quality defects exist in the cable materials, carrying out second-level early warning and executing a second intervention strategy; and under the condition that the third type of quality defects exist in the cable materials, carrying out three-level early warning and executing a third intervention strategy. In one embodiment, the platform service layer predicts the rate of production of the surplus material, the material demand trend and the risk of