The Research And Development Of Navigation System For The Ingredient Car

Rapid development of recycled aluminum in industrial production processes and technology are still very backward, from old aluminum recycling, sorting, ingredients to smelt aluminum, most are extensive manual process. Take a company of ningxia as an illustration:used forklift truck to transport specified proportion relationship of aluminum scrap, transported to Weighbridge, after weighed and put into hopper, Manual calculated the gap of ingredients ratio and recorded the final matching. Due to artificial ingredients produced drain logging, wrong note, calculated error which resulted the wrong command ingredients, an artificially fabricated formula data, as well as transport mistake, not accorded to the formula to transport scrap material, eventually caused event tracking and production formulation optimization work could not to be carried out, the quality of product is difficult to raise and so on. In order to solve the production organization management disorder, out of control and crafts execution problems proposed a method of automatic ingredient. In this method, applicated the Internet of things technology to design and develop automated batching of car navigation system.Aimed at the manual batching process of recycled aluminum industry, used the thoughts of automaion ingredient and researched recycled aluminum automatic batching process, realized automation of command and control of the weighing ingredients process, improved the efficiency of production and the accuracy of record in the ingredients process. The main contents include:recycled aluminum ingredients automation conductor navigation system schemes were being designed and the schemes were being compared, internet of things of workshop was being designed and the mathematical model of internet of things of workshop was being established, ingredient navigation software was being designed and the mathematical model of ingredient navigation system was being established,data collection, the filtration algorithm of data information and the mathematical model of the filtration algorithm of data information was being established, the localization algorithm of workshop,the function of the command and navigation system was being realized and so on. Specific summarized as follows:Firstly, aiming at the problems of which exist in the process of recycled aluminum ingredients, analyzed the various of effects which impacted on ingredients process used extensive way of ingredients, focused on the renewable technology status of aluminum industry both at home and abroad. Combined the technology of Internet of things, proposed automation batching schemes based on RFID technology and ZigBee technology.Second:By tested in production sites, based on the principles of data transmission accuracy, stability and economy to analysis and compared the two sets of ingredients schemes, eventually choose the second scheme.Third:The craft of burdening production and the method of management were being researched; the mathematical model of internet of things of workshop was being established and internet of things of workshop was being developed; the mathematical model of stable weighing data was being established and the reliable data delivery of process of burdening production was being solved; The execution of the craft of burdening production, recording and the reasoning technology of burdening and mathematics model of navigation command was being established.On the basis of mathematical model, focused on the implementation of burdening algorithm, included workshop localization algorithm, forklift recognition algorithm, data filtration algorithm,navigation algorithm; Studied the realization of the function of voice, burdening of single output, software Interface design and burdening list query and download online and the burdening of navigational production command system was being completed.The integrated application of internet of things of workshop and burdening navigation software showed:The mathematical model of stable weighing data, the mathematical model of internet of things of workshop, the localization algorithm of workshop and forklift recognition algorithm have practical value; the reasoning technology of burdening, burdening process human-computer interaction rules, the command functions of burdening operation and voice navigation are be in line with the actual needs of production; It can effectively improve burdening precision and the burdening production efficiency, shorten ingredients time, improve the production organization method and management technology, monitor the execution of the craft of production, realize the burdening process auxiliary, production automation and the management of information technology.