{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T10:06:36Z","timestamp":1773655596408,"version":"3.50.1"},"reference-count":23,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T00:00:00Z","timestamp":1577145600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The General Object of National Natural Science Foundation","award":["6197050151"],"award-info":[{"award-number":["6197050151"]}]},{"name":"The General Object of National Natural Science Foundation","award":["61972273"],"award-info":[{"award-number":["61972273"]}]},{"name":"The General Object of National Natural Science Foundation","award":["61572346"],"award-info":[{"award-number":["61572346"]}]},{"name":"The General Object of National Natural Science Foundation","award":["61772358"],"award-info":[{"award-number":["61772358"]}]},{"name":"The General Object of National Natural Science Foundation","award":["61572347"],"award-info":[{"award-number":["61572347"]}]},{"name":"International Cooperation Project of Shanxi Province","award":["201603D421012"],"award-info":[{"award-number":["201603D421012"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>At present, most chemical warehouses rely on human management, which is a time-consuming and laborious process. Therefore, it is very meaningful to use radio frequency identification (RFID) systems for the intelligent management of chemicals. Detecting the remaining amount of chemicals is an important process in the management of a chemical warehouse. It helps managers find the chemicals that are going to run out and replenish them in time. However, in a traditional chemical warehouse, managers usually inspect each chemical on the shelf in turn manually, which is a waste of time and labor. Although some solutions using RFID technology have been proposed, they are expensive and difficult to deploy in a real environment. In order to solve this problem, we propose an intelligent system called the RF-Detector in this paper, which combines robotics and RFID technology. An RFID reader and an antenna are installed on the robot, which achieves automatic scanning of the chemicals. The RF-Detector can achieve two functions: One function is to detect the remaining amount of chemicals using the changes in received signal strength indication (RSSI) and read rate, and the other is to locate chemicals using the phase curve, so that managers can quickly find the chemicals with an insufficient amount remaining. In this paper we implement the RF-Detector and evaluate its performance. The experimental results show that the RF-Detector achieves about 93% detection accuracy and 92% positioning accuracy for chemicals.<\/jats:p>","DOI":"10.3390\/s20010123","type":"journal-article","created":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T10:28:43Z","timestamp":1577183323000},"page":"123","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Intelligent Management of Chemical Warehouses with RFID Systems"],"prefix":"10.3390","volume":"20","author":[{"given":"Jumin","family":"Zhao","sequence":"first","affiliation":[{"name":"College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China"},{"name":"Technology Research Center of Spatial Information Network Engineering of Shanxi, Taiyuan 030024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangfang","family":"Xue","sequence":"additional","affiliation":[{"name":"College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deng-ao","family":"Li","sequence":"additional","affiliation":[{"name":"Technology Research Center of Spatial Information Network Engineering of Shanxi, Taiyuan 030024, China"},{"name":"College of Data Science, Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,12,24]]},"reference":[{"key":"ref_1","first-page":"1","article-title":"RFID-based Production Data Analysis in an IoT-enabled Smart Job-shop","volume":"5","author":"Ding","year":"2018","journal-title":"IEEE\/CAA J. 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