Wireless monitoring algorithm of intelligent greenhouse based on fuzzy control

2021 ◽  
pp. 1-9
Author(s):  
Xiangling Wang
Keyword(s):  
Fuzzy Control ◽  
Delay Time ◽  
Light Sensitivity ◽  
Monitoring Data ◽  
Transmission Protocol ◽  
Humidity Sensors ◽  
Design Algorithm ◽  
Wireless Monitoring ◽  
Traditional Algorithm ◽  
Monitoring Algorithm

The existing greenhouse monitoring algorithm has a long delay time, so it is unable to carry out effective remote greenhouse monitoring, therefore, a new wireless monitoring algorithm based on the fuzzy control technolog was put forward, which was able to remotely monitor the greenhouse temperature, humidity and illumination data in real time. Firstly, the overall framework of greenhouse monitoring algorithm was built, including fuzzy clustering algorithm and sensing layer devices. Secondly, the temperature-humidity sensors and light sensitivity sensors in the sensing layer devices were used to deeply mine and optimize the parameters of temperature, humidity and light intensity in current greenhouse, so as to ensure the stability of subsequent transmission. Meanwhile, the corresponding perceptual recognition layer and broadband access method were designed, and GPRS technology was used to feed back the data information to the monitoring data layer through temperature-humidity sensors and light sensitivity sensors. Moreover, UDP protocol was taken as the data core transmission protocol, and the adaptive protection design algorithm was proposed to ensure the most reasonable transmission of monitoring data, get the current monitoring data of temperature, humidity and illuminance. The experimental results show that the maximum delay time of the algorithm is 46 s, which is far lower than the traditional algorithm, and the delay time of temperature monitoring is also lower than the traditional algorithm. It is results show that the response delay of remote intelligent greenhouse monitoring algorithm is low and the overall monitoring effect is ideal. The purpose of monitoring temperature, humidity and illumination can be achieved.

scholarly journals Investigation on the Influence Caused by Shield Tunneling: WSN Monitoring and Numerical Simulation

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Hao Liu ◽  
Jinjiang Shi ◽  
Jiasen Li ◽  
Chao Liu
Keyword(s):  
Signal Transmission ◽  
Monitoring Data ◽  
Shield Tunnel ◽  
Support Pressure ◽  
Shield Tunneling ◽  
Tunnel Face ◽  
Wireless Monitoring ◽  
Mems Sensor ◽  
Grouting Pressure ◽  
Transmission Test

Traditional monitoring techniques are faced with the problems of low acquisition frequency and easy to be affected by the construction environment during the shield tunneling, which cannot meet the actual needs of timeliness monitoring of surrounding environmental impact on shield tunnel construction. Based on this actual demand, a wireless sensor network (WSN) system was used to monitor the response of shield tunnel segments and surrounding buildings during the shield tunneling in this study. According to the result of the signal transmission test, an optimization scheme of microelectromechanical system (MEMS) sensor layout is designed to improve the monitoring efficiency of the WSN system. Through the comparative analysis of WSN system monitoring data and traditional monitoring data, it is found that, with the increasing distance between the monitoring section and the tunnel face, the convergence value of tunnel lining clearance gradually tends to be stable, and the wireless monitoring results of transverse clearance convergence of the tunnel in this section are consistent with the overall deformation trend of the convergence gauge monitoring results. This study also simulated the shield tunneling adjacent buildings using a nonlinear finite element method. A parameter sensitivity analysis of the support pressure of the excavation face and the grouting pressure at the tail of the shield is carried out. The results show that the surface settlement can be reduced by properly increasing the grouting pressure and the support pressure of the excavation face. Moreover, increasing the support pressure of the excavation face has a better inhibition effect on the settlement of the surface soil than increasing the grouting pressure.

Research on Coal Mine Safety Wireless Monitoring System Based on Bluetooth Technology

2013 ◽  
Vol 765-767 ◽  
pp. 2061-2064
Author(s):  
Yan Hua Chen ◽  
Jing Ou ◽  
Xuan Ma
Keyword(s):  
Monitoring System ◽  
Coal Mine ◽  
Environmental Parameters ◽  
Mine Safety ◽  
Transmission Protocol ◽  
Wireless Monitoring ◽  
Coal Mine Safety ◽  
Mine Production ◽  
Upper Computer ◽  
Production Facilities

In order to improve the safety of coal mine production and ensure the safe working of production facilities, we propose a wireless monitoring system for coal mine safety called WMS. WMS adopts Bluetooth technology as its transmission protocol according to the coal mine environment. It is designed for collecting environmental parameters of coal mine and running status parameters of important production facilities. It transmits the collected data to the upper computer via wireless network based on Bluetooth. The upper computer receives the collected data and saves them for processing and displaying. Our research shows a new way for monitoring coal mine production and it is really efficient.

scholarly journals Study on Hybrid Fuzzy Controller Design by Model Reduction Method

2018 ◽  
Vol 7 (3.34) ◽  
pp. 558
Author(s):  
Joon Ho Cho ◽  
. .
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Performance Index ◽  
Delay Time ◽  
Pid Controller ◽  
Control Parameter ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Design Method ◽  
Reduced Model

Background/Objectives: In this paper, we proposed an improved model shrinking method and a hybrid-smith prediction fuzzy control design using a reduced model.Methods/Statistical analysis: The method of model reduction is based on Nyquist curve of frequency response, and the reduced model is obtained by considering the response of the transient state and the response of the steady state to the method. The proposed hybrid-smith prediction fuzzy controller tuning method was able to obtain the parameter value by utilizing a reduced model and using a genetic algorithm.Findings: The optimum PID controller design method using the reduced model applied a reduced model and a Smith prediction structure that compensates for the delay time in order to improve the control performance, and as a result, in order to minimize the performance index ITAE value I was able to design a controller. Here, the value of the control parameter was used by combining a method of directly obtaining the reduced model and a method of using the genetic algorithm by numerical analysis. In conclusion, the design method of the hybrid-smith Fuzzy control is a method of controlling by combining the PID controller, the Smith prediction compensating the delay time and the fuzzy controller in parallel, the value of the PID control parameter is optimized using the reduced model The value of the PID parameter was determined. The conversion coefficients (GE, GD, GH, GC) of Fuzzy control were obtained by applying genetic algorithm.Improvements/Applications: In the proposed method, it is possible to obtain directly the value of the parameter of the optimum PID controller and the value of the Smith prediction by using the reduced model, and the part of the Fuzzy conversion coefficient can be obtained by using the genetic algorithm , The ITAE performance index improved more than the conventional method.  

scholarly journals Remaining useful life prediction methods for key structures of heavy-duty railway wagons based on condition monitoring data

2021 ◽  
Author(s):  
Chao Wang ◽  
Tao Zhu ◽  
Bing Yang ◽  
Minxuan Yin ◽  
Shoune Xiao ◽  
...  
Keyword(s):  
Relative Error ◽  
Condition Monitoring ◽  
Delay Time ◽  
Life Prediction ◽  
Prediction Method ◽  
Remaining Useful Life ◽  
Monitoring Data ◽  
Support Vector ◽  
Heavy Duty ◽  
Useful Life

To predict the remaining useful life for the key structures of heavy-duty railway wagons using condition monitoring data, methods for the coupler body with and without visible cracks were proposed. First, a method based on the delay time and hypothesis testing was proposed, considering the case without visible cracks in the coupler body. Then, for the case of visible cracks, methods based on a hypothetical distribution and support vector regression with the Kalman filter were proposed. Finally, by taking the coupler body monitoring data as an example, the prediction accuracies of the proposed methods were compared. The results indicated that the prediction method that only considers the common characteristics of the research objects had an average relative error of 57.56% for the coupler structure with a long lifespan. Considering the delay time of the current state of the structure and the assumed distribution prediction method, the relative error was reduced to 34.52%, and the remaining useful life prediction value fluctuated sharply with respect to the service mileage. On this basis, considering the performance degradation process of the structure, the change in the remaining useful life prediction value was smoother, and the relative error was 43.67%. The methods for predicting the remaining useful life of railway heavy-duty coupler bodies using condition monitoring data have important theoretical and practical value for improving vehicle safety, reducing maintenance costs, and accurately evaluating the remaining useful life.

Design of Wireless Monitoring System of Semi-Lean Pumps

2011 ◽  
Vol 225-226 ◽  
pp. 1012-1015
Author(s):  
Yue Li ◽  
Ru Jian Ma
Keyword(s):  
Wireless Network ◽  
Monitoring System ◽  
Monitoring Data ◽  
Network System ◽  
Monitoring And Control ◽  
Control Center ◽  
Wireless Monitoring ◽  
Design Scheme ◽  
Working Parameters ◽  
And Control

A design scheme is proposed in this paper for wireless monitoring system of semi-lean pumps based on ZigBee and XBee-Pro module. The XBee-Pro module is placed inside the semi-lean pump to monitor the working parameters. The monitoring data is transmitted to the computer in the monitoring and control center by means of ZigBee through routers and coordinators. System tests show that wireless network system based on ZigBee and XBee-Pro module is convenient to use and reliable to transmit monitoring data.

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