Research Article
Developing an Ontology-Based Cold Chain Logistics Monitoring and Decision System
Table 1
Monitoring parameter values and ontology diagnosis.
| Parameter | 1st group | 2nd group | 3rd group | 4th group | 5th group |
| Temperature | ā2.30 | 0.20 | 2.60 | 9.20 | 5.50 | Humidity | 70.20 | 85.10 | 88.20 | 91.70 | 77.20 | Start | XuHui | XuHui | XuHui | XuHui | XuHui | End | ZhaBei | ZhaBei | ZhaBei | ZhaBei | ZhaBei | Mid-address | JingAn | JingAn | JingAn | JingAn | JingAn | Time | 14/4/9 22:09 | 14/4/14 11:39 | 14/4/25 13:19 | 14/4/30 10:49 | 14/15/9 15:09 | Storage temp. | 5 | 5 | 5 | 5 | 5 | Product name | Vaccine | Vaccine | Vaccine | Vaccine | Vaccine | Type | Injection | Injection | Injection | Injection | Injection | Number | 10 | 10 | 10 | 10 | 10 | Manufacturer | Chengda | Chengda | Chengda | Chengda | Chengda | Conveyance | Car | Car | Car | Car | Car | Validity period | 15/4/30 | 14/8/30 | 14/12/30 | 15/6/30 | 15/10/30 | Results | Alarm IV | Alarm III | Alarm II | Alarm I | Normal |
|
|