Shanghai's new energy vehicle data platform introduces the Alibaba Cloud Lindorm database, reducing costs by 20%

Introduction to Pudong, Minhang, Baoshan, and Jiading are the four areas with the largest distribution of new energy vehicles in Shanghai; the average working mileage of private new energy vehicles in Shanghai is more than 40 kilometers per day... At present, the Shanghai New Energy Vehicle Data Platform collects There are more than 660 million pieces of information, and the amount of data collected on the platform has exceeded PB, providing effective decision-making basis for the city's new energy vehicle demonstration and promotion, policy formulation, and vehicle analysis. According to reports, the platform is developed based on the Alibaba Cloud native multi-mode database Lindorm. It has high concurrent writing and real-time retrieval and analysis capabilities, and can be flexibly expanded according to the increase in the amount of information collected, and the data storage cost is very low.

Pudong, Minhang, Baoshan, and Jiading are the four areas with the largest distribution of new energy vehicles in Shanghai; the average working mileage of private new energy vehicles in Shanghai is more than 40 kilometers... At present, the daily information collected by the Shanghai New Energy Vehicle Data Platform has exceeded 6.6 100 million pieces, and the amount of data collected on the platform has exceeded PB, providing effective decision-making basis for the city's new energy vehicle demonstration and promotion, policy formulation, and vehicle analysis. According to reports, the platform is developed based on the Alibaba Cloud native multi-mode database Lindorm. It has high concurrent writing and real-time retrieval and analysis capabilities, and can be flexibly expanded according to the increase in the amount of information collected, and the data storage cost is very low.

The Shanghai New Energy Vehicle Data Platform is constructed and operated by the Shanghai New Energy Vehicle Public Data Collection and Monitoring Research Center. It is the country's first and the only city-level monitoring platform for new energy vehicles in Shanghai. As of January 31, 2021, Shanghai’s new energy vehicles have been connected to 418,000 new energy vehicles, involving 95 car companies, 107 brands, and 777 models. The data storage volume exceeds 1 PB, and the data scale continues to be global The city is at the forefront.

The Shanghai New Energy Vehicle Data Platform collects multi-dimensional data such as travel mileage and charging time of new energy passenger cars and commercial vehicles connected every day. As the number of connected vehicles of different brands and models increases rapidly, the data The variety of types and structures presents technical challenges to the operation and maintenance of the platform, and pushes up costs.

In order to ensure the smooth "running" of new energy vehicles across Shanghai on this platform, the Shanghai New Energy Vehicle Public Data Acquisition and Monitoring Research Center selected Alibaba Cloud's native multi-mode database Lindorm on the key database, using the latter's high concurrency Capabilities such as writing, elastic expansion, real-time retrieval and analysis, and complete data channel guarantees ensure that data can be synchronized to the offline computing platform in real time, ensuring the overall stability, efficiency, and low cost of data collection, loading, analysis, and computing links .

Wang Chengming, technical leader of the Shanghai New Energy Vehicle Data Platform, said that the introduction of the Alibaba Cloud Lindorm database has increased the performance of data collection and storage by more than 3 times, and the cost has been reduced by more than 20%; for the sudden increase in traffic caused by changes in collection points and collection frequency It can also deal with it calmly, which has well supported the rapid development of the business.

It is understood that the Alibaba Cloud native multi-mode database Lindorm supports high-performance, high-throughput, low-cost storage and retrieval analysis of massive data, supports cloud native storage and computing separation technology, and has extreme flexibility. It has undergone more than 10 years of experience in the Alibaba economy. , Supporting core businesses such as Taobao, Tmall, Alipay, and Cainiao. In September last year, the Lindorm database officially provided external services to help customers in the automotive, financial, industrial Internet of Things and other fields flexibly scale according to the business scale to match the rapid growth of the business.

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