Research Article
Feature Recognition of Rural Household Domestic Waste Based on ZigBee Wireless Sensor Network
@INPROCEEDINGS{10.1007/978-3-031-50552-2_13, author={Meitong Zhao and Xiaoying Lv}, title={Feature Recognition of Rural Household Domestic Waste Based on ZigBee Wireless Sensor Network}, proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part IV}, proceedings_a={ADHIP PART 4}, year={2024}, month={3}, keywords={ZigBee Wireless Sensor Domestic Garbage of Rural Households Household Waste Feature Recognition}, doi={10.1007/978-3-031-50552-2_13} }- Meitong Zhao
Xiaoying Lv
Year: 2024
Feature Recognition of Rural Household Domestic Waste Based on ZigBee Wireless Sensor Network
ADHIP PART 4
Springer
DOI: 10.1007/978-3-031-50552-2_13
Abstract
The current feature recognition data set of rural household garbage is generally set as one-way, and the recognition range is greatly limited, resulting in an increase in the average difference of feature recognition. Therefore, the design and verification analysis of the feature recognition method of rural household garbage based on ZigBee wireless sensor network is proposed. According to the actual recognition requirements and changes in standards, the initial multi-scale fuzzy features are extracted first, and the form of multiple targets is used to expand the actual recognition range. Multi target cross recognition data sets are set up to build ZigBee wireless sensor network garbage feature recognition model, and anchor box clustering processing is used to achieve feature recognition. The final test results show that the average difference of feature recognition obtained from the identification and measurement of rural domestic waste characteristics at the selected five test points is well controlled below 1.5, indicating that this recognition form has strong controllability and pertinence, large recognition range and controllable error, and has practical application value.
