Intelligent oil delivery monitoring system and monitoring method thereof

Abstract

The invention provides an intelligent oil delivery monitoring system and a monitoring method thereof. The system includes a data acquisition module, a quantitative loading controller, an executing mechanism, and a monitoring platform. The data acquisition module is installed in the executing mechanism and is used for acquiring working parameters and uploading the working parameters of the executing mechanism to the quantitative loading controller. The quantitative loading controller is used for receiving an oil extraction application form sent by a user, converting the oil extraction application form into an oil extraction instruction, and sending the oil extraction instruction to the executing mechanism for oil delivery operation. The monitoring platform is used for regularly inspecting a set monitoring model of the data acquisition module and timely checking potential safety problems through the regular inspections to assist oil depot managers in safety supervision and safety responsibility confirmation. Through the sharing of monitoring results, the whole network sharing of oil depot information is achieved, through the arrangement of alarm devices and anti-overflow electrostatic devices, oil depot safety facilities and the entire monitoring system are connected in a co-ordination manner, and the comprehensive safety supervision is achieved.

Description

technical field [0001] The invention relates to the technical field of oil depot monitoring technology, in particular to an intelligent oil delivery monitoring system and a monitoring method thereof. Background technique [0002] The oil delivery monitoring and metering part of an oil depot is manually operated and entered into the monitoring platform. Therefore, the update speed of the oil distribution monitoring platform is slow and prone to errors. The oil distribution control system and billing system cannot realize data sharing, which is not convenient for data statistics and analysis. Therefore, in actual use, the original four crane positions in the oil depot are usually expanded to ten. The supervision of the crane positions and the oil storage tank of the oil depot needs to involve the control, measurement, temperature, etc. of the oil distribution. To display the parameters in a timely and accurate manner, further processing and analysis of the above data is requ...

AI Technical Summary

Problems solved by technology

Therefore, the update speed of the oil monitoring platform is slow and error-prone

The oil distribution control system and billing system cannot realize data sharing, which is not convenient for data statistics and analysis

Therefore, in actual use, the original four crane positions in the oil depot are usually expanded to ten. The supervision of the crane positions and the oil storage tank of the oil depot needs to involve the control, measurement, temperature, etc. of the oil distribution. To display the parameters in a timely and accurate manner, further processing and analysis of the above data is required, so that the abnormal conditions generated during the oil delivery process can be reflected to the monitoring personnel in the main control room in a short period of time. However, in actual operation, the oil depot Management is limited to the statistics of oil products and the quantity of oil and oil. For the liquid level monitoring of oil storage tanks, human supervision is usually used. The collected data does not form a complete data processing system for comprehensive intelligent processing. At the same time, due to the untimely human supervision, the phenomenon of potential safety hazards cannot be solved in time, which may easily cause eye circle accidents; therefore, it is very necessary to monitor and intelligently transform the oil delivery system of the oil depot

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