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Hu H.,Zhejiang Industry Polytechnic College
Advanced Materials Research | Year: 2012

By researching on the self-cleaning characteristic of nanometer material, and the dispersion and stability of nanometer particle, a kind of environmentally friendly nanometer finishing agent was exploited and developed. Application results of this nanometer self-cleaning agent on textile fabrics showed that this finishing agent had self-cleaning effect to remove capsicum oil. Generally speaking, over 10% dosage of nanometer material finishing agent would allow the self-cleaning effect completely in 24 hours. Meanwhile, after being finished with this self-cleaning agent, the fabric wearabilities were not changed. © (2012) Trans Tech Publications.

Chen H.,Zhejiang Industry Polytechnic College
International Journal of Smart Home | Year: 2015

The traditional textile enterprise air conditioning system has deficiency such as temperature and humidity adjusting by manual work, low degree of automation, information management relative lagging and large error. According to the information management needs of modern textile, this paper design temperature and humidity monitoring system based on internet of things. Hie system is composed of three parts of remote monitoring subsy stem, database subsystem and local monitoring subsystem. The system uses CC-LINK field bus, GPRS communication and computer network, and can control data remotely and on site. Combined with the characteristics of textile temperature and humidity, humidity priority control strategy is presented, and adaptive fuzzy-PID algorithm is adopted to tune the PID parameters on line. The results show that, the system dates transfer stability', temperature and humidity' can be centralized and remote control, improving the level of enterprise information management, saving energy and reducing consumption. © 2015 SERSC.

Chen H.,Zhejiang Industry Polytechnic College
Applied Mechanics and Materials | Year: 2012

Because the characteristics of the liquid level control conditioner are nonlinear, strong inertia, time-variant and pure delay, the conventional PID control is often ineffective. A fuzzy immune PID controller was designed based on the immune feedback mechanism and the fuzzy control theory, used the genetic algorithm to optimize the immune PID parameters, established a the liquid level control of water tank control system model, and applied fuzzy immune PID control technology to simulate the liquid level control through Matlab emulation., simulation results show that the control system has the characteristic of rapid adjustment, high regulation enec, therefore it has the feasibility and the promotion of a certain value. © (2012) Trans Tech Publications.

Lichun X.,Zhejiang Industry Polytechnic College
Advances in Information Sciences and Service Sciences | Year: 2012

Adaptive local image enhancement techniques make use of the local characteristics of the image, and combine the image contrast enhancement with edge preservation and denoising so as to achieve local area enhancement. It can improve the image quality and overcome the deficiency of the global image enhancement techniques. This paper mainly researches on adaptive local image enhancement technique based on partial differential equations. In order to overcome ill-pose of the P-M model and the filtering performance's heavy dependence on iteration times, we introduce a fidelity term to improve both the stability and the ability of detail-preservation.

Wu X.X.,Zhejiang Industry Polytechnic College
Advanced Materials Research | Year: 2011

This paper presents the oil quality evaluation system and establishes the two-stage fusion model based on multi-sensor information fusion technology. It also develops the oil quality evaluation model based on neural network model. With the advantages of multi-source information technology, the model implements comprehensive evaluation for oil quality, and provides a set of neural network training process and its results which achieve the oil quality evaluation based on information fusion. The case study shows that the prediction results for four kinds of oil samples by evaluation model based on multi-source fusion are consistent with the actual results. The comparison between operation test trend predictions and actual tests also shows the correctness of the oil quality evaluation model. The proposed multi-information fusion technology for oil quality evaluation system improves the evaluation accuracy and reduces dependence on technical personnel's analysis experience, which is of great importance for improving the technical management level and the awareness of oil lubrication properties. © (2011) Trans Tech Publications.

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