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Featured researches published by Xingli Wu.


chinese control and decision conference | 2012

A kind of imitated environment system for plant growth based on LED light source

Meng Li; Liguo Tian; Zhiliang Chen; Xingli Wu; Yongliang Wang

Along with the continuous development of LED technology, LED light source gets more attention in the field of research of plant cultivation because of its small volume, long lifetime, good spectrum property, high luminous energy utilization, adjustable light quality and intensity and so on. According to the demand of plant growth environment, the paper designed a kind of imitated environmental system for plant growth based on LED light source. The system with the core of ATmega128L micro-controller, collocate with LED board, humiture sensor and CO2 sensor and so on, could imitate natural temperature, humidity and illumination etc., and adjust all kinds of parameters to set various combination ecotope to fit plant growth. After actual application, it works well.


Chinese Intelligent Automation Conference | 2017

Design of a Temperature and Humidity Monitoring System for Plant Growth Cabinets Based on Data Fusion

Shigang Cui; Kun Liu; Xingli Wu; Yongli Zhang; Lin He

This paper developed a temperature and humidity monitoring system for a plant growth cabinet based on the embedded technology.The monitoring system took a STM32 microprocessor as its core controller, and the accurate acquisition, display and control of environmental factors (including temperature, humidity) in the plant growth cabinet were achieved by the monitoring system. In order to solve the problem of low accuracy of such monitoring system, the means and variances of the temperature and humidity data after fusion were obtained from a batch estimation fusion method based on average values. Then an adaptive weighted fusion was applied on each layer of sensor data in accordance with the optimal weight distribution principle to obtain accurate temperature and humidity values. The testing results shows that the system is quite stable and reliable, which can monitor and display the real-time temperature and humidity existed in the plant growth cabinet accurately and satisfy the needs for control.


Archive | 2012

Dust removing device for kilowatt-hour meter

Xingli Wu; Liguo Tian; Meng Li; Zhiliang Chen


Archive | 2012

Ultrasonic sensor node module with positioning function

Xingli Wu; Liguo Tian; Meng Li; Zhiliang Chen


Archive | 2012

Flow sensor node module with location function

Xingli Wu; Liguo Tian; Meng Li; Zhiliang Chen


Archive | 2012

Weighing sensor node module

Xingli Wu; Liguo Tian; Meng Li; Yuchao Liu; Liulei Lian


chinese control and decision conference | 2018

Optimization of plant light source based on simulated annealing particle swarm optimization algorithm

Shigang Cui; Huimin Lv; Xingli Wu; Yongli Zhang; Lin He


chinese control and decision conference | 2018

Segmentation of disease image of lettuce leaves based on machine vision

Rui-Qi Meng; Shigang Cui; Yongli Zhang; Xingli Wu; Lin He


2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017) | 2017

Temperature Monitoring System For Plant Factory Based On Multi-Sensor Data Fusion

Shigang Cui; Kun Liu; Xingli Wu; Yongli Zhang; Lin He


Archive | 2012

Node module for sound sensor

Liguo Tian; Meng Li; Xingli Wu; Yuchao Liu

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Liguo Tian

Tianjin University of Technology and Education

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Meng Li

Tianjin University of Technology and Education

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Zhiliang Chen

Tianjin University of Technology and Education

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Beibei Guan

Tianjin University of Technology and Education

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Lin He

Tianjin University of Technology and Education

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Shigang Cui

Tianjin University of Technology and Education

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Yongli Zhang

Tianjin University of Technology and Education

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Kun Liu

Tianjin University of Technology and Education

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Huimin Lv

Tianjin University of Technology and Education

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Rui-Qi Meng

Tianjin University of Technology and Education

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