地震预警是近二十余年来新发展起来的用于减轻地震灾害的一种有效手段，可在破坏性地震发生后，破坏性地震波到来前，为目标区域提供数秒至数十秒的预警时间。目前世界上地震预警的关键目标是缩小地震预警盲区。本项目提出直接从传感器端进行系统改进，引入低延时数据处理机制，并基于统计获取到的预警参数关系式，在仪器内部实现集地震事件自动检测、P波初动精确检拾、τc和Pd计算、震级和PGV估算、震动阈值报警等功能的实时地震预警数据处理流程；通过分布式自组网技术进行多台预警参数综合判断，以降低误触发事件、提高系统可靠性并压缩事件处理时间；从基于无线宽带（巨灾系统）发布预警以降低网络交换可能产生的延迟时间。通过上述三个环节的技术改进、算法精炼和高度集成，建立一套能够自动组网的现地地震预警试验系统，达到缩小预警盲区的目的。

Earthquake early warning (EEW) is a new technology and a new measure for seismic hazard mitigation in the last twenty years. It can provide a few to several tens of seconds of warning time for impending strong ground shaking at a given user site. The key goal of the current EEW in the world is to reduce the range of "blind zone". We propose direct system improvement of sensors by introducing low-latency data processing mechanisms. Based on the statistical relationships of early warning parameters, we then integrate a real-time EEW data processing flow into the sensors, which includes automatic earthquake detection, precisely picking up the beginning of P waves, τc and Pd calculation, magnitude and PGV estimation, and shaking threshold alarming. In addition, the distributed automatic networking technology is used for comprehensively determining multi-stations early warning parameters in order to reduce false triggering events, improve system reliability, and compress the time for processing events. Furthermore, the warning information is released through Catastrophe System, a type of wireless broadband, for lowering network delay. Through these three aspects of technological improvements, algorithms refining and high integration, we can establish an automatic networking onsite EEW test system in order to reduce the range of "blind zone".