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Big Data Analysis

After years of data accumulation, the Tianxingjian telematics system now has over 1 million vehicles connected to the network, generating more than 1.2TB of vehicle data daily, with cumulative data reaching 1354TB. As vehicle data continues to accumulate, the costs of data storage and management are increasing. Additionally, there is a growing demand for customer data analysis. It has become imperative to harness the value of this data to better serve customers. 


The Tianxingjian big data analysis platform provides data analysis, storage, and application support for Shaanxi Auto's relevant departments, core component companies, and external data application providers. The platform, based on technologies such as Hadoop and Spark, offers products and services including raw data storage, initial data processing, customized data analysis, web applications, and data dashboards.

Advantages of Tianxingjian Big Data
High Collection Frequency and Long Data Storage Period
High Collection Frequency and Long Data Storage Period
  • The core data collection frequency for vehicles is at the second level, providing real-time vehicle dynamics monitoring.
  • The accumulated vehicle data is stored for over 5 years, offering a large historical span and long storage period.
Diverse and Large Number of Vehicles Collected
Diverse and Large Number of Vehicles Collected
  • The platform has over 1 million heavy trucks connected, with about 300,000 vehicles online daily, and approximately 130,000 vehicles online simultaneously, making it the largest in the domestic heavy truck industry.
  • The collected vehicles include various heavy truck products such as cargo trucks, dump trucks, and tractors, offering a rich variety.
  • The vehicles are primarily Shaanxi Auto vehicles, with some integration of mainstream heavy truck products from Dongfeng, Foton, and others.
Variety and Richness of Data Collected
Variety and Richness of Data Collected
  • The data includes over 90 types across five categories: whole vehicle static data, dynamic data, GPS data, engine data, and fault and alarm data.