目的 解决目前服装企业存在的服装量大、品种多、整箱货运盘货难度大等问题。方法 将RFID技术与服装信息管理相结合，设计整箱服装信息自动化采集系统，通过对系统RFID阅读器天线数量及位置进行优化设计，同时改进RFID标签多叉树防碰撞算法，以提高服装信息检测系统识别的可靠性。结果 通过计算分析，构建了阅读器“M”形四天线空间分布全覆盖检测模型，同时配合服装检测系统的识别软件完成了批量服装电子标签可靠性检测，对最大服装包装箱的检测准确率达到了100%。在系统的检测速度为60 m/min时，每分钟的理论识别量可达到2 600件。结论 有效提高了服装信息检测系统的可靠性和采集效率。

The work aims to solve problems such as large quantity, many varieties, and difficulty of freight container in current clothing enterprises. The RFID technology was combined with clothing information management. An automatic collection system of clothing information was designed. Through the optimization design of RFID reader antenna number and location deployment of the system, the multi-way tree anti-collision algorithm of RFID tags was improved, so as to improve the reliability of clothing information detection system identification. After calculation analysis, a "M" type four-antenna spatial distribution full coverage detection model was built for the reader. With the cooperation of the clothing detection system identification software, the batch clothing electronic label reliability detection experiment was completed. The maximum clothing packing box detection accuracy reached 100%, and the system detection speed reached 60 m/min. The theoretical identification reached 2 600 pieces per minute. It effectively improves the reliability and collection efficiency of the garment information detection system.