2019 VOL.2 Jun No.3

• Title: Automatic monitoring method for rotational efficiency of heavy-duty vehicle transmission
• Name: Glenn Aldrich
• Company: Dunedin College of Education
• Abstract:

  When the conventional logistics distribution demand forecasting method predicts the logistics distribution demand in many regions, there is a shortcoming of low analytical accuracy. To this end, a multi-region logistics distribution demand forecasting method based on big data analysis is proposed. Introduce big data technology, build a multi-regional logistics distribution demand forecasting framework, realize the construction of multi-regional logistics distribution model; rely on the determination of different needs of logistics distribution between regions, embed demand forecasting model, realize multi-region logistics distribution demand forecasting and analysis. The test data shows that the proposed big data forecasting method is 57.23% higher than the conventional method, which is suitable for the forecast of logistics distribution demand in different regions and regions.

• Keyword: Heavy-Duty Vehicle; Transmission; Rotational Efficiency; Monitoring Method;
• DOI: 10.12250/jpciams2019030124
• Citation form: Glenn Aldrich.Automatic monitoring method for rotational efficiency of heavy-duty vehicle transmission[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 37-43.

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