Shandong University

Chinese Academy of Sciences

Jilin Core Logistics and Coating Equipment Co., Ltd.

Shandong Gelnnt Environmental Technology Co., Ltd.

Qingmei Sui

Jing Wang

Zhengfang Wang

Lei Jia

Faye Zhang

Mingshun Jiang

Bin Liu

Peng Jiang

Lei Zhang

Hanchi Liu

Shanshan Lv

Lingyu Sun

Juntao Wei

Shucai Li

Lichao Nie

Huaifeng Sun

Zhengyu Liu

Jie Song

Lijia An

Shuo Wang

Tingyu Hao

Weiguo Yao

Linlin Gao

Yuxi Jia

Yaru Zhao

Feiyu Teng

Ruipeng Cui

Shuhua Gao

Yuzhuang Wan

Yuqiang Cao

Junhui Kou

Yunli Guo

Qinglin Wang

Kefu Chen

Yanfei Yu

Wei Guo

Haiqing Wang

Wenqiang Kang

Jiaqi Zhang

Jieying Zhi

The disclosure relates to the technical field of power system management, and in particular to a large-scale electric vehicle cluster coordinated charging optimization method based on greedy repair genetic algorithm. the method includes the following steps: Si, establishing a task model: establishing a task model of electric vehicle cluster coordinated charging in large charging stations; S, constructing constraint conditions: constructing constraint conditions for the coordinated charging optimization problem; S, constructing a constrained optimization problem: designing an objective function with the minimum charging cost, performing linear mathematical transformation on non-linear constraint conditions, and constructing a 0/1 integer linear programming problem; and S, solving the constrained optimization problem with a custom genetic algorithm based method: carrying out genetic coding on a decision model of the charging station, and specifically designing a genetic algorithm with greedy repair operators to solve the constructed constrained optimization problem.

Large-scale electric vehicle cluster coordinated charging optimization method based on greedy repair genetic algorithm

A surface disease repair system and method for an infrastructure based on climbing robots are provided. The system includes a detection and marking climbing robot and a repair climbing robot. In the process of moving on a surface of an infrastructure to be detected, the detection and marking climbing robot collects a front surface image in real time through a binocular camera arranged at a front end, detects a disease on the basis of the front surface image, and performs localization and map reconstruction at the same time; when a disease is detected, the position of the disease is recorded, and a marking device is controlled to mark the disease; after detection and marking are completed, the position of the disease and the map are sent to the repair climbing robot; and the repair climbing robot receives the map and the position of the disease, reaches the position of the disease, and repairs the disease according to the mark by using a repair device.

Primary-secondary type disease detection and repair system and method for infrastructure

A wall-climbing robot system and method for rapid nondestructive inspection of hidden defects in culverts and sluices. The system includes: a robot vehicle body; navigation positioning system and moving system, both mounted on the robot vehicle body; automatic knock inspection system, mounted at the vehicle body front end; mobile ultrasonic rapid inspection system and corrosion inspection system, dual-power system, formed by a non-contact negative pressure adsorption apparatus and rotor booster apparatuses, the non-contact negative pressure adsorption apparatus mounted on the vehicle body bottom, the rotor booster apparatuses mounted on two sides of the vehicle body; and a master controller, communicating with the navigation positioning system, moving system, automatic knock inspection system, mobile ultrasonic rapid inspection system, corrosion inspection system, and dual-power system. The system recognizes positions and categories of internal defects from ultrasonic data and perform concrete permittivity inversion and disease recognition on arbitrary length-continuous survey line ground-penetrating radar data.

Wall-climbing robot system and method for rapid nondestructive inspection of hidden defects in culverts and sluices

A probability multiply-sum structural damage imaging positioning method and system based on a delay factor includes obtaining optimal excitation frequency and group-velocity theoretical correction function based on numerical simulation of composite laminates; based on optimal excitation frequency, obtaining ultrasonic guided wave response signals of composite laminates in healthy and lossy states and sensor coordinates used for signal collection; performing path screening based on ultrasonic guided wave response signals; obtaining group-velocity correction function based on measured group velocity obtained based on ultrasonic guided wave response signal in healthy state, and calculating actual delay time based on obtained effective path, group-velocity correction function, and sensor coordinates; obtaining damage delay factor based on actual and reference delay time; forming path probability distribution based on damage delay factor, and performing path probability multiply-sum operation to obtain structural damage imaging result; and obtaining structural damage positioning result based on peak point coordinates of imaging result.

Probability multiply-sum structural damage imaging positioning method and system based on delay factor

A self-correcting assemblable optical fiber sensing system for a displacement field and a correction method thereof are provided. The system includes multiple assemblable flexible optical fiber sensing devices for measuring displacement field; multiple inclination angle self-sensing connection devices for connecting between assemblable flexible optical fiber sensing devices, and an optical fiber demodulation device for obtaining strain data of the assemblable flexible optical fiber sensing devices and two-axis inclination angle data of the inclination angle self-sensing connection devices, and correcting the displacement field measured by the assemblable flexible optical fiber sensing devices. The assemblable flexible optical fiber sensing devices are connected between the inclination angle self-sensing connection devices, and the optical fiber demodulation device is connected to a free end of the inclination angle self-sensing connection device. In this situation, two-dimensional displacement field monitoring of the large-scale structure can be realized.

Self-correcting assemblable optical fiber sensing system for displacement field and correction method thereof

A multi-arm robot used for tunnel lining inspection and defect diagnosis in an operation period, including a moving platform, where an environment detection device and a defect infection device are disposed on the moving platform, the defect infection device is disposed on the moving platform by using a multi-degree-of-freedom mechanical arm, and an attitude detection module is disposed on each multi-degree-of-freedom mechanical arm; a controller receives environmental data and mechanical arm attitude data sensed by the environment detection device and the attitude detection module, and sends a control instruction to the moving platform and the multi-degree-of-freedom mechanical arm according to the environmental data, to implement movement of the robot; and the controller receives tunnel lining structural data sensed by the defect infection device, and performs defect diagnosis. Overall automatic inspection can be implemented both on the surface and inside of the tunnel lining.

Multi-arm robot used for tunnel lining inspection and defect diagnosis in operation period

A digital, self-diagnosis, sensing intelligent layer integrating active and passive monitoring, including: a capacitance testing unit, configured to charge a to-be-tested piezoelectric transducer by generating a step signal, and determine a transition moment, to obtain a free capacitance value of the to-be-tested piezoelectric transducer; a frequency testing unit, to charge the to-be-tested piezoelectric transducer by generating sinusoidal signals of different frequencies, and detect a resonant frequency according to the transition moment; an active and passive monitoring module, to obtain analog response signals in an active mode and a passive mode, and convert the analog response signals into digital response signals for transmission; and a main control module, to transmit a self-diagnosis result and the digital response signals to a guided wave host. The intelligent layer integrates active damage scanning and passive impact monitoring while implementing self-diagnosis for a piezoelectric transducer state.

Digital, self-diagnosis, sensing intelligent layer integrating active and passive monitoring and method

Disclosed are an unmanned airborne ground penetrating radar system and an inspection method for a dam hidden danger detection, including an unmanned aerial vehicle (UAV) system; the UAV system includes an unmanned aerial vehicle, a sensor platform, a radar platform, a forward-looking laser rangefinder and a ground penetrating radar; the sensor platform is installed on the UAV, and the forward-looking laser rangefinder is installed on the sensor platform, and the radar platform is installed on the UAV at one side of the sensor platform; moreover, the ground penetrating radar is installed on the radar platform, and a variable polarization ground penetrating radar antenna array is arranged in the ground penetrating radar; the variable polarization ground penetrating radar antenna array includes a substrate, and a plurality of groups of orthogonal dual-polarization Vivaldi antenna transmitting subarrays and receiving subarrays are mounted on the substrate.

Unmanned airborne ground penetrating radar system and inspection method for dam hidden danger detection

A composite material packaged fiber grating sensor and a manufacturing method thereof. The sensor includes a fiber grating sensor component, a composite material coverage layer, a resin package layer and a composite material substrate layer. In the sensor, a temperature fiber grating and a strain fiber grating are packaged in a composite material structure, so that the structure is light and simple, its computability with the composite material is good, the measurement accuracy is high, and the survival rate and the service life of the installed sensor can be greatly improved, the sensor component can be externally pasted on to or inter-implanted in a composite material structural part, and can be applied to the distributed online health monitoring on the structural part. The manufacturing method of the composite material packaged fiber grating sensor is simple, efficient and stable, and is suitable for rapid mass production by enterprises.

Composite material packaged fiber grating sensor and manufacturing method thereof

The invention discloses three-dimensional focusing induced polarization equipment for advance geological prediction of a water inrush disaster source in underground engineering, comprising a constant-current multiplex transmitter, an intelligent multichannel receiver, an automatic multi-electrode switch, an industrial personal computer, an observation electrode array and shielding electrodes, wherein electrodes in the observation electrode array are respectively used as a source electrode and observation electrodes; the industrial personal computer controls the constant-current multiplex transmitter to transmit currents of the same polarity to the shielding electrodes and the source electrode, so that the currents of the source electrodes are nearly directed straight ahead of a driving face under the action of the shielding electrodes; the observation electrodes are used for scanning data acquisition, and the data are fed back to the industrial personal computer through the intelligent multi-channel receiver; and the industrial personal computer controls the automatic multi-electrode switch to change the source electrode.

Three-dimensional focusing induced polarization equipment for advanced geological prediction of water inrush disaster source in underground engineering

Growing community of inventors

Jinan, China

Qingmei Sui