Abstract

In the food safety traceability process, need according to the material label quantities read food labels technique for identifying, batch and measurement with the complexity and irregularity and lead to label information collision, the need for anti collision control. The traditional food safety tracking tag anti-collision control method using symbol frame format sweep of Radio Frequency Identification technology (RFID) to achieve the conflict shunt control purposes, in the expansion of loss was mutation attenuation, resulting in a collision of fault tolerant control effect is not good. Put forward a kind of food safety label conflict detection based anti collision control method. To label bulk read level data fusion, describes the conflict signal generation model of food safety labels, analysis of ultra wide band characteristics of food safety traceability label conflict signal, the realization of the food (food) safety control of planting, breeding, processing, packaging, storage, transportation, sale and consumption activities and food safety label the technology of Radio Frequency Identification (RFID) conflict shunt control, to achieve the purpose of anti collision control. Simulation results show that speed up the anti-collision recognition efficiency, reduces the probability of anti-collision, improves the anti collision detection efficiency, improve food safety identification tag throughput rate, avoid the waste of resources at the same time, it can improve the food safety tracing efficiency and accuracy, it has good application value in the field of food safety monitoring.

Keywords:

Collision detection, food safety, RFID, tag,

References

1. Chen, Y., 2013. Food safety call for the use of the Internet of things technology and popularize. J. Chem. Ind. Guangdong Prov., 33(1): 166-167.
   
2. Deng, H., 2012. Research of RFID data stream filtering algorithm. J. Comput. Mach. Technol. Dev., 22(6): 26-34.
   
3. Jiang, Y., 2010. RFID matching collision algorithm in IOT. Comput. Appl. Res., 29(1): 88-91.
   
4. Li, M. and H. Liu, 2011. Food safety supervision model based on IOT research. 29(2): 54-57.
   
5. Lu, L. and F. Liu, 2012. Agricultural products supply chain management research based on Internet of things. J. Modern Agric., 7(57).
   
6. Xuejun, Z., 2010. The modified adaptive collision algorithm study. J. Electron., 40(1): 193-198.
   
7. Yan, H., 2012. Agricultural intelligent products sales system based on Internet of things. J. Heilongjiang Sci., 3(1): 57-59.
   

Competing interests

The authors have no competing interests.

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The authors have no competing interests.