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Balance Processing Method of Material Supply Chain Data Based on Multi-source Data
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Cong ZHU1, Meng-meng JIA1, Xiao-ying WANG1, Ze-hao DANG1, Jian-kang LIANG1, Ming YANG2
Science Technology and Engineering | 2025, 25(21) : 8966 - 8972
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Science Technology and Engineering | 2025, 25(21): 8966-8972
Papers·Automation and Computational Technology
Balance Processing Method of Material Supply Chain Data Based on Multi-source Data
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Cong ZHU1, Meng-meng JIA1, Xiao-ying WANG1, Ze-hao DANG1, Jian-kang LIANG1, Ming YANG2
Affiliations
  • 1 State Grid Shaanxi Electric Power Co., Ltd., Materials Company, Xi'an 710001, China
  • 2 School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China
Published: 2025-07-28 doi: 10.12404/j.issn.1671-1815.2404529
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In order to solve the problem of uneven data distribution or confusion of characteristics in material supply chain under multi-source data, a data balance processing method of material supply chain based on multi-source data was proposed. The data distribution space of material supply chain was established, non-boundary and boundary areas were set, the center of the area was calibrated, the distances between different characteristic data and the center point were calculated respectively, the unbalanced data was searched in advance by using the edge mixed sampling algorithm, and the boundary area to which it belongs was determined according to the data distance characteristics. The unbalanced data was regarded as the working nodes in the supply chain cluster. When the number of working nodes in the cluster changes, the load generated by each cycle execution node was obtained by flow calculation, and the load value was converted into the execution thread score. The unbalanced data was obtained by comparing the scores, the threshold of data memory and CPU resource consumption in the material supply chain was calculated, and the parallel task thread was established. The scheduler was used to transfer the execution thread in the working node to the next node to achieve the purpose of load balancing. The experimental results show that the proposed method has the advantages of short response time, large data throughput, good processing effect and strong stability, and has good practical application value.

multi-source data  /  material supply chain data  /  equalization processing  /  resource task  /  nonboundary region
Cong ZHU, Meng-meng JIA, Xiao-ying WANG, Ze-hao DANG, Jian-kang LIANG, Ming YANG. Balance Processing Method of Material Supply Chain Data Based on Multi-source Data[J]. Science Technology and Engineering, 2025 , 25 (21) : 8966 -8972 . DOI: 10.12404/j.issn.1671-1815.2404529
Year 2025 volume 25 Issue 21
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Article Info
doi: 10.12404/j.issn.1671-1815.2404529
  • Receive Date:2024-06-18
  • Online Date:2026-01-13
  • Published:2025-07-28
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  • Received:2024-06-18
  • Revised:2025-04-09
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Affiliations
    1 State Grid Shaanxi Electric Power Co., Ltd., Materials Company, Xi'an 710001, China
    2 School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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