Qiming Information applies for patents related to email system methods, enhancing the high concurrency capacity of trusted innovation email, reducing costs while maintaining user experience

On March 28, news from the National Intellectual Property Administration shows that Qiming Information Technology Co., Ltd. has applied for a patent titled “Email System and Data Processing Method Based on a Large Client Load Balancing Mechanism.” The application publication number is CN121728058A, the application number is CN202512010289.6, the publication date is March 24, 2026, and the application date is December 29, 2025. The inventors are Liu Nan, Zhao Libin, and Liu Yongping, with the patent agency being Chengdu Jinying Patent Agency (General Partnership) and the patent agent is Yuan Ying. The classification numbers are H04L51/42, H04L67/568, G06F16/172, G06F16/17, G06F16/182, G06F16/185, G06F16/13, G06F16/14, G06F12/0862, G06F12/123, G06F21/60, G06F21/62, G06Q10/107.

The patent abstract shows that this invention discloses an email system and data processing method based on a large client load balancing mechanism, which is constructed based on a three-layer load balancing network architecture consisting of terminal layer, intelligent virtualization processing layer, and core server layer. The intelligent virtualization processing layer is deployed between the terminal cluster and the core server layer, configured with various functional modules, including intelligent prefetch caching module, intelligent attachment caching module, centralized full-text retrieval preprocessing module, contact synchronization module, calendar data pre-calculation module, email rules preprocessing module, batch operation processing optimization module, and email behavior analysis preprocessing module. This solution significantly enhances the capacity of the Xinchang email system in high-concurrency scenarios by utilizing distributed caching and intelligent pre-calculation, shortening core service response time, reducing hardware investment costs, and effectively ensuring the user experience for large-scale enterprise users.

Qiming Information was established on October 25, 2000, and was listed on the Shenzhen Stock Exchange on May 9, 2008, with its registered and office address in Changchun, Jilin Province. It is a leading enterprise in information services for the automotive industry in China, with core business covering automotive software and electronics, and possesses technological and service advantages.

The main business of Qiming Information includes the research and development and service of automotive management software, the development of automotive electronic products and related value-added services, application system integration, IT outsourcing, and data center operation services. The company belongs to the Shenwan industry classification of Computer - IT Services II - IT Services III, and the conceptual sectors include electronic ID cards, virtual reality (VR), and Baidu concepts.

In 2025, Qiming Information had an operating revenue of 774 million yuan, ranking 5th out of 7 in the industry, with the top-ranking company, Ronglian Technology (intellectual property protection), having 1.949 billion yuan and the second-ranking company, China COSCO Shipping Technology, with 1.806 billion yuan. The industry average is 1.073 billion yuan and the median is 1.232 billion yuan. Among its main businesses, management software and services contributed 452 million yuan, accounting for 58.38%, and integration services contributed 221 million yuan, accounting for 28.54%, etc. In terms of net profit, it was 32.5426 million yuan in 2025, ranking 4th out of 7 in the industry, with the top-ranking company, Xingtuzhiyuan, at 101 million yuan and the second-ranking company, Jiuyuan Yinhai, at 86.2043 million yuan. The industry average is 17.5496 million yuan and the median is 32.5426 million yuan.

The recent patent situation of Qiming Information Technology Co., Ltd. is as follows:

Statement: The market has risks; investment requires caution. This article is automatically published by an AI large model based on third-party databases and does not represent the views of Sina Finance. Any information appearing in this article is for reference only and does not constitute personal investment advice. Please refer to the actual announcement for any discrepancies. If you have any questions, please contact biz@staff.sina.com.cn.

Massive information, precise interpretation, all available on the Sina Finance APP

Editor: Xiaolang Kuai Bao