| The industrial railway cargo inspection train inspection is a vital part in train transportation which influences the safe manufacture and operation of companies and the railway transport efficiency. For a long time, the industrial railway cargo inspection train inspection of our country is in the traditional way of manual work, on-site operation equipment and means is still obsolete which restricts the efficiency of railway transport severely. The study and realization of industrial cargo inspection train inspection handset system improves the efficiency and quality of cargo inspection train inspection, protect the enterprise safe production and management which has the important practical significance and economic value.The thesis puts forward the cargo inspection train inspection handset system structure and the key issues need to solve based on analysis of transport process and work requirements in Ma Steel. The mobile handset voice communication under the WLAN will become transmission packet disorder, loss and delay jitter with the influence as the complex industrial working environment; Meanwhile, as the mobile handset communication network consists of WLAN and 3G network, mobile handset will be wireless network roaming in using. Besides as the particularity of the train number, a further research about train number segmentation and recognition needs to be done to implement handset for train number automatic identification.According to the voice communication of the cargo inspection train inspection handset, the thesis puts forward to reduce the impact to voice communication of transmission packet disorder, loss and delay jitter with buffer pool and voice weaving method. In order to solve wireless network roaming of mobile handset, a network switching algorithm is proposed based on the signal strength accumulation and load balance which guarantees the stability of the handset communication network. In the meantime, as to the characteristics of train number, the thesis presents the train number segmentation algorithm based on curve analysis and realize the train number recognition with the rough grid feature extraction method. Last,design a detail cargo inspection train inspection handset system structure combined with the research of key technology and working requirement. |
