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Fang Chen

Bio: Fang Chen is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Sensor node & Kalman filter. The author has an hindex of 1, co-authored 2 publications receiving 16 citations.

Papers
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Proceedings ArticleDOI
01 Jul 2017
TL;DR: The experimental results show that the system can realize wireless collection of greenhouse environment data and the control of main equipment in the greenhouse, and the data packet loss rate is zero, which is applicable for small greenhouse monitoring and control with good accuracy and scalability.
Abstract: The cable acquisition and control system of the traditional greenhouse has many disadvantages such as complicated wiring, high cost and lack of accuracy and expansibility. In order to solve those problems, a greenhouse acquisition and control system based on ZigBee wireless sensor network (WSN) is designed in this paper. The ZigBee with temperature sensor DS18B20 and humidity sensor AM2301 is used as the sensor node, the fan and the wet curtain formed as two controller nodes which are respectively connected with the ZigBee module. The coordinator receives environmental data collected by the sensor nodes, and then sends the control commands to the controller nodes after processing and analyzing the data, which changes the execution status of the fan and the wet curtain, so as to adjust temperature and humidity inside the greenhouse, providing suitable growth environment for crops. The experimental results show that the system can realize wireless collection of greenhouse environment data and the control of main equipment in the greenhouse. The greenhouse acquisition and control system based on WSN with low cost and low power consumption has reduced labour intensity, and the data packet loss rate is zero, which is applicable for small greenhouse monitoring and control with good accuracy and scalability.

19 citations

Proceedings ArticleDOI
25 Jul 2018
TL;DR: Experiments show that the monocular vision feedback module is able to provide accurate and real-time pose estimation, and the closed-loop position control algorithm successfully guides the quadrotor to track a predefined trajectory.
Abstract: This paper aims at designing an indoor position control system for a quadrotor unmanned aerial vehicle (UAV), which cruises inside a room without GPS signals. A monocular camera equipped on the quadrotor is used to observe ArUco markers that are deployed on the floor of the room, and estimate the pose of the quadrotor. The Kalman filter is applied to further improve the accuracy of pose estimation. A PID controller is designed to realize closed-loop position control. We setup a quadrotor platform to verify the effectiveness of the indoor position control algorithm. Experiments show that the monocular vision feedback module is able to provide accurate and real-time pose estimation, and the closed-loop position control algorithm successfully guides the quadrotor to track a predefined trajectory.

4 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors present the research efforts from researchers in Smart Farming, who apply innovative technology trends in various crops around Europe and provide and analyze the most significant projects in Europe in the area of Smart Farming.

58 citations

Proceedings ArticleDOI
01 Aug 2018
TL;DR: In this article, a Raspberry Pi 3 based circuit is used to continuously monitor soil quality with the help of wireless sensor nodes in order to get maximum development of plant in greenhouse environment.
Abstract: As we know greenhouse parameters monitoring and controlling plays a very important role for quality production of crops. The purpose of this system is to design a simple Raspberry Pi 3 based circuit to continuously watch & read the values of Soil moisture, Humidity, Temperature and light of the environment that are constantly changed and controlled in order to get maximum development of plant. In this paper we present a system to monitor soil quality with the help of wireless sensor nodes. The data is acquired from each sensor used in this system. In past Attention was needed for a farmer to protect his field from different disasters caused either by human or by nature. Efforts of human are not sufficient and also farmer has to pay for manpower. Here we are using few sensors to monitor the field are Temperature sensor, Humidity Sensor, Soil Moisture sensor to check whether the field is dry or wet and a LDR to verify the lighting at that place. This system maintains the soil quality which is required to grow the particular crop properly. By using this project the farmer can Predict &Analyze the greenhouse parameters. Tomatoes & Brinjals these two crops are selected for the prediction & Analysis. Two samples of crops are taken and the system had been verified for these crops in greenhouse environment. Finally total power consumption and total expenditures consumed per year is estimated for controlling devices. Because of this the farmers will be able to predict the total amount for controlling action of crops for next year. By using this system it is seen that with controlling action the product quality & quantity is increased than crops grows without controlling action

35 citations

Proceedings ArticleDOI
01 Oct 2017
TL;DR: The proposed OWM system uses continue data sampling with higher sampling rate on local main station system and can monitor water quality in real-time and historically both on the local and online system.
Abstract: A water monitoring is required to maintain water quality for human and animal life. T o verify and monitor the water quality in a large area such as lake, river, and aquaculture requires an online water monitoring (OWM) system. The OWM system usually consists of some quantitative measurements such as temperature, pH, Dissolved Oxygen, Turbidity, Conductivity, TDS, Salinity, etc. Most of the used OWM system use discontinue data sampling that the sampling rate is longer than one minute and one hour for local measurement and online measurement, respectively. There is no historical measurement record to trace the initial problem when the water quality getting worse. In this paper, the proposed OWM system uses continue data sampling with higher sampling rate on local main station system. This system is also integrated with WIFI. Therefore, the measurement by the local main station can be done in real-time. In this system, the old data measurement can be analyzed by using historical view feature. The experimental result verifies that the system can monitor water quality in real-time and historically both on the local and online system.

22 citations

Journal ArticleDOI
TL;DR: In this article, a comprehensive survey of almost scenarios utilizing UAVs and UGVs with strogly emphasising on UAV for data collection in WSNs is presented.
Abstract: Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in multimedia networks. This paper addresses a comprehensive survey of almost scenarios utilizing UAVs and UGVs with strogly emphasising on UAVs for data collection in WSNs. Either UGVs or UAVs can collect data from static sensor nodes in the monitoring fields. UAVs can either work alone to collect data or can cooperate with other UAVs to increase their coverage in their working fields. Different techniques to support the UAVs are addressed in this survey. Communication links, control algorithms, network structures and different mechanisms are provided and compared. Energy consumption or transportation cost for such scenarios are considered. Opening issues and challenges are provided and suggested for the future developments.

17 citations

Proceedings ArticleDOI
01 Oct 2018
TL;DR: The proposed network structure with cluster unification in a piconet provides an advantage that is inherent in the hierarchical method of building wireless sensor networks.
Abstract: Model for reducing energy consumption in wireless sensor network is presented. Model of reducing the power consumption for node of wireless sensor network in embedded control systems. The operation of the wireless sensor network node is analyzed. Different models was analyzed for reducing energy consumption by node in wireless sensor network. The combination of a large number of nodes into a network, the requirements for minimizing the energy consumption of nodes and the network as a whole lead to the need for additional structural solutions when creating wireless sensor networks. The most important of these is network clustering, which also implies constant rotation of the cluster head node during the network life cycle. The proposed network structure with cluster unification in a piconet provides an advantage that is inherent in the hierarchical method of building wireless sensor networks.

14 citations