Ping Lu

Title: Innovations of Ping Lu in Data Processing

Introduction

Ping Lu is a notable inventor based in Hangzhou, China, recognized for his contributions to data processing technologies. He holds three patents that showcase his innovative approaches to handling massive time-series data efficiently. His work is particularly relevant in fields that require real-time data analysis and risk control.

Latest Patents

One of his latest patents is titled "Fast processing method of massive time-series data based on aggregated edge and time-series aggregated edge." This invention implements a fast and real-time processing method that utilizes a graph data structure to manage massive data patterns. It introduces an innovative data structure known as 'aggregated edge' and 'time-series aggregated edge,' which is designed for real-time dynamic graph data modeling. Additionally, it features a time-series graph query language that enhances the descriptive semantics of time series information, allowing for advanced queries based on vertices, edges, and attributes.

Another significant patent is the "Structure and method of aggregation index for improving aggregation query efficiency." This patent provides an aggregation index structure that partitions streaming data through grouping and slicing dimensions. It significantly improves aggregation query efficiency, enabling the processing of PB-level data in seconds and supporting real-time data insertion. The method ensures that query results are returned with minimal latency, even when query range conditions change.

Career Highlights

Ping Lu is currently employed at Zhejiang Bangsun Technology Co., Ltd., where he continues to develop innovative solutions in data processing. His work has had a substantial impact on the efficiency of data handling in various applications.

Collaborations

He collaborates with talented individuals such as Xingen Wang and Xinyu Wang, contributing to a dynamic team focused on advancing technology in their field.

Conclusion

Ping Lu's innovative patents and contributions to data processing highlight his significant role in the advancement of technology. His work not only improves efficiency but also supports real-time applications in various industries.