Li Guo Tian

Design of Intelligent Measure and Control Software of Plant Growth Cabinet Based on Android System

Plant growth cabinet, as a kind of green, environmental, efficient, energy-efficient, closed plant growth environment, can provide the temperature, humidity and others that are required in the process of plant growth and development. We design an intelligent measure and control software based on Android system to achieve information collection and display of the environmental data in the cabinet and the plants’ morphological data. It also could remotely monitor the plant growth process in real time and do the intelligent regulation of the control node. In order to collect and send environmental data and video in real time that don’t affect the operation of the software interface, Android background Service technology has been adopted. The communication of Activity and Service that is realized by BroadcastReceiver, has realized the run of users operation interface and background program in the same time, improve the interactivity and real time of the software. The experimental results show that the software has realized the local and remote intelligent measure and control for the plant growth cabinet.

Detection System on Weak Electrical Signal in Plants

To achieve the accurate extraction and characteristics analysis of electrical signal in plants, the system was developed for detecting and extracting weak electrical signal in plants. As experimental platform for the extraction and detection of plants electric signal, training experiment system on the growth of plants, had done the experiments of extraction and feature analysis on plants electric signal by it, described in detail the extraction and analysis process of plants electrical signal, and also discussed the methods of anti-interference process for the system. The system construction is feasible, it has positive significance for real-time monitoring the environment factors changes and the plants growth status.

Plant Electrical Signal De-Noising Based on the Lifting Wavelet Transform

In this paper, plant electrical signal of Aloe vera L. was collected by experimental system which was built in the laboratory of writer .And used MATLAB to de-noise processing and analyzing. We adopted both traditional and lifting wavelet transformation respectively, compared to two results, we can know that analyses which based on lifting wavelet transformation are more accurate and quick ,It is more suitable for weak signals in future research and analysis.

Study for PID Temperature Control of Plant Growth Cabinet Based on Neural Network

Environment for plant growth is difficult to establish precise mathematical model. The conventional control methods are difficult to be well controlled, and put forward a neural network PID control temperature on the growth environment of plant. In this paper, taking the lettuce as an example, using MATLAB to simulate the PID control and PID control of BP neural network, the results proved that PID control of BP neural network has small overshoot, fast response speed and good stability compared with the traditional PID control, and better controlled temperature changing with the target temperature.

Design of Hardware of Smart Plant Growth Cabinet

With the increase of nuclear radiation, soil pollution, water pollution and other man-made pollution, people are increasingly concerned about healthy eating. It gradually becomes a hot spot for scientists to develop a new green planting method. In this context, a design of smart plant growth cabinet based on LED lighting is put forward in this paper. From the analysis of social needs and the user′s analysis, transformation has been made from user requirement to the thinning mapping of product function and performance requirements. The main function and implementation principle of it and the design of the hardware are introduced in detail. This design has simple hardware structure, convenient maintenance, good stability, anti-interference ability and other characteristics. It has broad application prospect and great using value.

Research of Communication Method of Intelligent Building Lighting System Based on CAN Bus

This paper proposes an intelligent lighting control system based on CAN. Compared with the traditional lighting control system, it overcomes the effect of relatively scattered control and disadvantages of poor management, poor real-time and low degree of automation. In explaining the overall design of intelligent lighting system framework and communication protocols based on CAN bus communication, it analyzes the real time capability and puts forward the optimization scheme. It also proposes an implementation of SJA1000 CAN communication modules to achieve application to intelligent lighting system.

System Identification of Beating Heart Medical Surgery Assisted Robot

The wide bandwidth and high amplitude feature of the beating heart motion makes surgeon hard to achieve the coronary artery bypass graph surgery on his or her own. The robot could help to cancel the relative motion between the end effecter of the robotic tool and certain point on the heart surface. Therefore a stationary operation screen could be used for the surgeon. The precise robot modeling is the prerequisite for tracking control algorithm. In the paper, we process the input and output data by using the nonlinear optimization method to obtain the system model. Next, we discuss the system identification related problems and modify the model. Finally, a good system model is achieved.

Method for Non-Destructive Measurement of Leaf Area Based on Binocular Vision

Modern agriculture is developing towards the direction of intelligent. We can realize the nondestructive measurement of plant leaf area by using the digital camera. In this paper, we make the same ratio between the camera’s screen and the background plate to overcome the problem of geometric distortion. Then we use two perpendicular digital cameras from the front and side to collect images respectively for curved leaf. Because there are characteristics of the image grey value mutation on the rage of the vane, we can extract the leaf by image segmentation. The leaf area can be calculated by the statistic of the pixels number according to the projection principle. Experiments show that, the error of leaf area measurement reduces from 13.51% to 5.93% by binocular vision. So this method not only can get the measurement of leaf area data, but also can effectively avoid the two-dimensional image distortion and improve the accuracy of leaf area calculation.

Design of μC/GUI Interface Based on STM32 Embedded System

The wide use of GUI (Graphic User Interface - graphical User Interface) is one of the great achievements in todays computer development. μC/GUI, as one of the mature GUI technology, becomes more and more common in embedded products. It has a small kernel, occupying less resources, high performance and high reliability etc, and can be designed as powerful and complex man-machine interface for embedded system. it uses the STM32 development board as the carrier. Software system is composed of hardware drivers, μC/OS-Ⅱ real-time operating system, FATFS file system, μC/GUI graphical interface system and so on. Analyzing the process and steps of μC/GUI transplantation, through the design of interface we can realizes simple human-computer interaction function. After tested, it works well.

Study of an Improved Petri Net Model for Scheduling of DEDS

Modeling by Petri net for DEDS has been widely used including the robot technology and Semiconductor production line (SPL). It is critical to build a reliable model of DEDS for assessing and optimizing the scheduling of production resources. The HCTPN (Hierarchical Colored-Timed Petri net) model is proposed in this paper, which can effectively deal with the model explosion of basic Petri net by enhancing the describing ability of basic Petri net (the color factor and the time factor will be introduced to the Petri net) and introducing the hierarchical Petri net. At the last of the paper, the simulation results show the effectiveness and reliability of the established HCTPN model of SPL by CPN Tools.