Design of an Intelligent Food Storage Monitoring System Based on Improved AHP
Aiming at the safety hazards existing in the refrigerator food storage environment, an intelligent food storage environment monitoring system has been developed, which is based on the improved Analytic Hierarchy Process (AHP) and is designed to evaluate and improve the quality of the storage environment in a scientific manner. There are three layers in the system: the perception layer, the network layer, and the application layer. The perception layer serves as the core and is comprised of the “master” and “slave” units, which facilitate wireless communication. The slave unit is responsible for the collection of data pertaining to various gases within the refrigerator environment. The data is then subjected to a process of fusion and processing, at the same time, it is displayed by the master unit. The improved AHP method is employed to calculate the weights of the impact of different gases, resulting in a consistency ratio (CR) of 0.0466, which is less than 0.1 for the evaluation index system, thus passing the consistency test. A linear scoring mechanism is employed to construct a comprehensive evaluation model, which categorizes the quality of the food storage environment into three levels: excellent, good, and poor. The experimental results demonstrate that the system operates stably and that the model provides accurate and objective assessments. This offers a simple, effective, and practical method for evaluating and improving food storage environments.
Authors
- Ma Feilong (ORCID: https://orcid.org/0000-0002-6838-3971)
- Hongbo Kang (ORCID: https://orcid.org/0009-0009-9672-6490)
- Yuhang Chen (ORCID: https://orcid.org/0000-0002-4275-5458)
Institutions
- Xi’an University of Posts and Telecommunications (CN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/icmee63700.2024.11025313
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00