RETRACTED: Application of Multisource Data Fusion Technology in the Construction of Land Ecological Index (Retracted Article)

被引:0
|
作者
Hao, Juan [1 ]
Yang, Yang [1 ]
Sun, Haoyue [1 ]
Zhang, Zhicheng [2 ]
Kang, Zhanwu [2 ]
Zhang, Jianfang [1 ]
机构
[1] Hebei Univ Architecture, Coll Informat Engn, Zhangjiakou 075000, Hebei, Peoples R China
[2] Hebei Tech Coll Mech & Elect Engn, Dept Modern Mfg, Zhangjiakou 075000, Hebei, Peoples R China
关键词
BP NEURAL-NETWORK;
D O I
10.1155/2023/1804731
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In order to control the grassland ecological environment, an application method of multisource data fusion technology in the construction of land ecological index is proposed. Due to the high requirements for grassland environmental monitoring, the use of traditional technologies to monitor grassland environmental conditions lacks certain effectiveness, has high investment costs, and consumes a lot of manpower and material resources. The use of sensors to dynamically monitor the grassland environment is conducive to monitoring the environment from a scientific and technological level. By understanding the fusion principle and process of three fusion methods, adaptive weighted average, BP neural network, and D-S evidence theory, the construction of Bashang grassland ecological energy big data platform based on multisource data fusion is proposed. A two-level data fusion model based on grassland environmental monitoring is proposed. Several environmental parameters in the experimental environment were monitored, and the validity of the two-level fusion model was verified by two evaluation indicators, the mean absolute percentage error and the corrosion error. This suggests that a combination of BP neural network and D-S proof theory improves system performance. It provides the possibility for more comprehensive monitoring of grassland ecological environment in the future.
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页数:8
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