Csg Power Generation Co., Ltd.

Yumin Peng

Hao Zhang

Man Chen

Yu Gong

Yaxiong Yu

Mingxuan Yang

Xiaobo Qiu

Xiaoyi Wang

Rufei He

Xiong Dai

Dehua Li

Mingliang Yao

Jun She

Xianbin Guo

Yanming Gao

Yong Lu

Kai Lin

Tao Liu

Yulin Han

Zhiqiang Wang

Liqun Sun

Zhenglin Xiang

Jianqiu Li

Hengjun Chen

Xun Hu

Tuixiang Feng

The present disclosure provides a self-adaptive test method for an intelligent prediction algorithm of analog measured values. Firstly, an event recording sequence, an analog measurement point ID and an analog measurement point alarm value are read from a time sequence event record table, an analog measurement point table and an alarm threshold table. Next, operation records of a normal operation state of a unit within a statistical cycle are acquired to form historical statistics of measured values of the analog measurement point based on switching value signals. Then, simulated measured values of the analog measurement point with time scales are calculated based on the historical statistics, the analog measurement point alarm value and an analog measurement point current measured value. Finally, sensitivity is calculated; and an alarm is sent to remind a technician to adjust the algorithm when the sensitivity is greater than a threshold.

Self-adaptive test method for intelligent prediction algorithm of analog measured values

Provided are a vibration object monitoring method and apparatus, a computer device, and a storage medium. The method includes: in response to detecting that a vibration object exists in a monitoring video picture for a target monitoring region, a vibration object region in the monitoring video picture is determined, where the vibration object region is a region where the vibration object is located in the monitoring video picture; displacement information of a key point of the vibration object in the vibration object region is recorded; vibration information of the vibration object in the monitoring video picture is determined based on the displacement information; and a vibration object monitoring result for the target monitoring region is generated according to the vibration information. The abnormal vibration monitoring can be performed on the vibration object in the target monitoring region in time according to this method.

Vibration object monitoring method and apparatus, computer device and storage medium

The present disclosure provides a self-adaption faster-than-real-time method for estimating a working condition start-up state of a unit. Firstly, an event recording sequence, an analog measurement point ID, an analog measurement point first-level alarm value and a history scatter point distribution record are read from a time sequence event record table, an analog measurement point table, an alarm threshold table and a historical scatter record table. A measured value slope of the analog measurement point is calculated according to an event recording relative time. Then, an abnormal state estimated value is calculated based on the history scatter point distribution record, the analog measurement point first-level alarm value and the measured value slope of the analog measurement point. Finally, a pre-warning is sent to remind a watchman to perform a preventive operation when the abnormal state estimated value is above the threshold.

Method for self-adaption faster-than-real-time working condition start-up state prediction and estimation of unit

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Guangzhou, China

Yumin Peng