Northeastern University

North China Electric Power University

State Grid Liaoning Electric Power Co., Ltd.

Lei Wang

Gang Wang

Bo Hu

Xiating Feng

Huaguang Zhang

Jian Feng

Dazhong Ma

Jie Wang

Jinhai Liu

Benguo He

Jiayue Sun

Shichen Qiu

Guiping Zhou

Shunjiang Wang

Xiangrui Meng

Xinping Liu

Liang Tian

Tuoyu Deng

Zhimin Guan

Senxiang Lu

Provided is an intelligent inversion method for pipeline defects based on heterogeneous field signals. The method includes the following steps: firstly, acquiring heterogeneous field signals, performing an abnormality judgement, then correcting base values of the heterogeneous field signals, and performing denoising treatment; padding the denoised heterogeneous field signals corresponding to the pipeline defects, unifying the heterogeneous field signals of different sizes into the heterogeneous field signals of same sizes, and performing a nonlinear transformation on signal amplitudes; designing a sparse autoencoder with an axisymmetric structure, and obtaining primary characteristics of the heterogeneous field signals; classifying the pipeline defects according to lengths, widths and depths to obtain category labels of the pipeline defects; designing a multi-classification neural network to classify the heterogeneous field signals, and extracting deep characteristics containing defect size information; and constructing a random forest regression model to realize intelligent inversion for sizes of the pipeline defects.

Intelligent inversion method for pipeline defects based on heterogeneous field signals

The invention provides a method and system for a blast-induced vibration monitoring of a tunnel in high asymmetric in-situ stresses. According to the method, triaxial vibration sensors are respectively fixed in areas having different radial depths inside surrounding rocks of a stress concentration area behind a tunnel face of the tunnel in high asymmetric in-situ stresses, and each triaxial vibration sensor monitors blast vibration velocity and acceleration at a position thereof. The system comprises a plurality of triaxial vibration sensors which are fixed in areas having different radial depths inside surrounding rocks of a stress concentration area behind a tunnel face of the tunnel in high asymmetric in-situ stresses, and each triaxial vibration sensor is used for monitoring blast vibration velocity and acceleration at a position thereof. The method and system can improve the safety and the efficiency of tunnel excavation construction.

Method and system for blast-induced vibration monitoring of tunnels in high asymmetric in-situ stresses

A flexible coordinated control method adapted to a thermal power unit in a deep peak-regulating operation includes: adding a reverse compensation channel from a fuel quantity instruction to a power generation load instruction on a basis of a traditional coordinated control system of a boiler-following mode; meanwhile, constructing a flexible factor by using a main steam flow quantity signal, and correcting a gain of the reverse compensation channel by the flexible factor in a product mode to obtain a reverse power generation load instruction bias value; and correcting the power generation load instruction of the unit by using the reverse power generation load instruction bias value, so as to give priority to guaranteeing the control quality of a power generation load and a throttle pressure before a steam turbine under conventional load conditions and give priority to guaranteeing the combustion stability under deep peak-regulating conditions.

Flexible coordinated control method adapted to thermal power unit in deep peak-regulating operation

Growing community of inventors

Shenyang, China

Lei Wang