COMPUTER-AIDED STATISTICAL INVENTORY RECONCILIATION (SIR) FOR LEAK DETECTION IN UNDERGROUND STORAGE TANK (UST)
‘Computer-Aided Statistical Inventory Reconciliation for Leak Detection in Underground Storage Tank’ is a study undertaken to perform numerical calculation of leak rate for leak detection in underground storage tanks (UST) in petrol station retail business for the enhancement of the current risk ass...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
IRC
2015
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/15900/1/Mas%20Idayu_16272.pdf http://utpedia.utp.edu.my/15900/ |
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| Summary: | ‘Computer-Aided Statistical Inventory Reconciliation for Leak Detection in Underground Storage Tank’ is a study undertaken to perform numerical calculation of leak rate for leak detection in underground storage tanks (UST) in petrol station retail business for the enhancement of the current risk assessment and crisis management. The need for this system is for the operator or owner of petrol station to keep track on the leakage of the retail and to ensure the safety measure of the retail by having a computerized system being developed to get statistical record of leakage that might cause hazard in the petrol station. The analysis method applied are literature review and questionnaires to the petrol station managers in order to understand the current business process and management of the retail especially in terms on risk management and health, safety and environment (HSE) issue. The design of the system is drawn and converted into a functional computer system. The development methodology includes the flow diagram to calculate the leak rate of oil in UST. PHP language is chosen for the system because of its transparency and less abstract besides the fact that it can be hosted nearly everywhere. A set of formulas have been developed to calculate on the daily fuel storage as preliminary data to measure leakage. The study concludes that SIR system can be used as preliminary detection method to detect leakage in UST. In the other hand, future enhancement still needs to be done to make it more accurate and reliable. |
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