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An early warning method based on gas station data statistics analysis

A technology for statistical analysis of data and gas stations, which is applied in the field of gas stations and can solve problems such as errors, shortages, accumulation of oil and commodities, etc.

Active Publication Date: 2020-08-11
成都油管家科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the statistical data requires the staff to analyze the data and guide the future work. Most of the staff rely on their experience to carry out follow-up work. They lack strong and accurate data guidance and support, and mistakes are prone to occur, leading to oil products and commodities. Pile up or out of stock, which will adversely affect the operation of gas stations

Method used

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  • An early warning method based on gas station data statistics analysis
  • An early warning method based on gas station data statistics analysis
  • An early warning method based on gas station data statistics analysis

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Experimental program
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Embodiment 1

[0036] This embodiment provides a gas station-based data statistical analysis and early warning method, using a gas station data real-time statistical system, the system includes a data acquisition module, a control module connected to the data acquisition module, and connected to the control module and the data acquisition module respectively a data center, a display module connected to the data center, and a storage module connected to the data acquisition module and the data center respectively;

[0037] The data statistical analysis early warning method includes the following steps:

[0038] S1. Pre-store the data table in the data center, and the data table includes the calculation method of each data, the range value of the data, etc.

[0039] S2. The data acquisition module collects the vehicle data, personnel data, store merchandise sales data, environmental data, and oil tank data of the gas station, and sends them to the data center. The vehicle data includes the tr...

Embodiment 2

[0044] This embodiment is optimized on the basis of the above-mentioned embodiment 1. In this embodiment, a gas station-based data statistical analysis and early warning method, the risk coefficient calculated in step S4 in the above-mentioned embodiment 1 is included in the time Oil quantity risk coefficient H within t (unit is min) t and commodity risk factor F within time d (unit is d) d .

[0045] Oil volume risk factor H t The calculation is carried out through the oil quantity risk early warning algorithm, and the calculation formula is:

[0046]

[0047] In the formula: It is the average value of the traffic flow in the last few days, where A is the daily traffic flow, t is the total number of days, the daily traffic flow is summed and divided by the specific number of days to obtain the average traffic flow; H is the time in the calculation cycle The remaining amount of oil at the gas station at the node; X is the floating coefficient of traffic flow. The oil ...

Embodiment 3

[0052] This embodiment is optimized on the basis of the above-mentioned embodiment 3. It is a kind of data statistical analysis and early warning method based on gas stations in this embodiment. The oil quantity risk coefficient H in step S5 in the above-mentioned embodiment 1 t The range value of the oil quantity risk coefficient is 1.9-3.6. The range value of the oil quantity risk coefficient is obtained after a large number of data statistics, calculations, and practical tests. When the calculated oil quantity risk coefficient H t When it is less than 1.9 or greater than 3.6, the data center will issue an early warning signal.

[0053] Commodity risk factor F in step S5 d The range value of the commodity risk coefficient is 0.78-8.78. The range value of the commodity risk coefficient is obtained after a large number of data statistics, calculations, and practical tests. When the calculated commodity risk coefficient F d When it is less than 0.78 or greater than 8.78, the d...

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Abstract

The invention belongs to the technical field of gas stations. The invention discloses a data statistical analysis early warning method based on a gas station. A gas station data real-time statisticalsystem is adopted. The system comprises a data acquisition module, the control module is connected with the data acquisition module; the data center is respectively connected with the control module and the data acquisition module; wherein the data acquisition module is connected with the data center, the display module is connected with the data center, and the storage module is connected with the data acquisition module and the data center. The data statistical analysis early warning method comprises the steps of table entry, data acquisition, data statistics and calculation, data comparisonand early warning. According to the early warning method, the data counted by the gas station system can be calculated and analyzed, whether the oil product storage amount and the commodity storage amount need to be supplemented or not and the upper limit of supplementing are judged, and long-term backlog of commodities or oil products or commodity or oil product shortage is avoided.

Description

technical field [0001] The invention belongs to the technical field of gas stations, and in particular relates to a fueling early warning method, in particular to a gas station-based data statistical analysis early warning method. Background technique [0002] A gas station refers to a replenishment station that retails gasoline and engine oil for automobiles and other motor vehicles, generally adding fuel oil, lubricating oil, etc. Since the petroleum commodities sold at gas stations are flammable, volatile, easy to leak, and easy to accumulate static electricity, the gas station regards "safety" as the first criterion. Fireworks are strictly prohibited in the gas station, and it is strictly forbidden to engage in operations that may generate sparks. It is strictly forbidden to fill gasoline into the car's carburetor and side barrel. All stations must turn off the engine before entering the station for refueling. [0003] In recent years, the operating cost of gas stations...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/08G06Q30/02
CPCG06Q10/087G06Q30/0201
Inventor 代庆龙杨锐
Owner 成都油管家科技有限公司