| Along with our country’s construction of a resource-saving, environment-friendly society, energy saving and emission reduction become important factors in the A/Djustment of industrial structure and the innovation of industrial technology. Inhibition of industry, which requires high energy consumption and high emission, fast development and eliminating industry of backward production capacity have become mandatory means of energy-saving emission reduction in 12 th Five Year Plan. As a tr A/Ditional industry, textile printing and dyeing belongs to the industry of high energy consumption, high water consumption and high emissions, due to low degree industrial automation and small cost ratio of enterprise technical innovation. As the main equipment in textile printing and dyeing, setting machine consumes most energy of printing and dyeing, mainly due to workers cannot be real-time know related parameters of process in the actual production, and judge only by touch perception, visual perception and experience. In order to make production information visualize and transparent, part of European product providers began to research and design detection equipment of setting machine parameter. However, their marketing in china is slower, because its price is too expensive while China’s printing and dyeing industry is dominated by small and medium enterprises. Domestic manufacturers also began to develop similar products, and our products are of poor effect, due to late start and backward technology. So to research and design online detection system of setting machine parameters is of great significance. A set of online setting machine parameter detection system based on embedded system is developed on the basis of studying the setting machine parameters in this paper.Development status and trend of setting machine parameter detection was analyzed firstly in this paper, and so did the significance and value of the topic. With RAPID setting machine as the experimental platform, the main parameters of the shaping process and their detecting methods is studied, then according to the actual situation, the S3c2440 was selected as the main controller, and measuring moisture content of fabric with resistance method, measuring fabric surface temperature with infrared method, measuring the humidity of exhaust air with cobalt dioxide sensor and measuring guide speed and exhaust fan speed with photoelectric encoder were decided. Guide speed and exhaust fan speed were controlled with frequency converter. According to the design scheme, various hardware platform of parameters detecting system hardware platform were set up, converting non electric signal into electric signal, which was sent to A/D acquisition end of the controller, and the data acquisition was realized. In software, two interfaces on PC Windows and 3.5 inch touch screen were developed based on embedded system, improving the production information visualization degree and operation convenience. And design the program of A/D acquisition, software filtering, real-time display and bus communication etc., which served behind interface. Finally, the hardware and software of designed system were debugged under laboratory conditions, then fabric moisture data detected by probe designed independently were fitted, and error of results was analyzed.It was shown by analysis of detection system operation, that the designed system can effectively improve the visualization degree and production transparent of textile printing and dyeing process, making management of material and energy supply simple and accurate, which was helpful to improve the dyeing quality and achieve the purpose of energy saving and emission reduction. |
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