KR20220034656A - Oil price determination method and system - Google Patents

Abstract

An object of the present invention is to determine the final oil price based on various oil price determining factors. The present invention relates to a method for determining oil price comprising: a step of entering reference oil price at the current time; a step of learning an oil price determination algorithm for calculating a state change index according to at least one oil price determining factor; a step of calculating the state change index of the current state by inputting the oil price determining factor of the current state into the trained oil price determining algorithm; and a step of determining the final oil price by applying the calculated state change index to the reference oil price.

Description

Oil price determination method and system

The present invention relates to a method and system for determining an oil price, and more particularly, to a method and system for determining an oil price that allows the final oil price to be determined by learning the state change index according to each oil price determining factor.

Currently, the use of automobiles in work and life is rapidly increasing, and accordingly, sales at gas stations as well as gas stations have increased rapidly. As oil is also liberalized in accordance with the liberalization policy, price competition at each gas station is intensifying.

In general, for oil or petroleum products sold at gas stations, for example, the price of gasoline and diesel (hereinafter referred to as 'oil price') is provided by displaying the price of oil sold at each gas station on the same day after price display liberalization is implemented. there is.

However, conventionally, oil prices displayed at gas stations are mostly determined by reflecting the standards of a specific gas station in the results of directly monitoring the prices of nearby gas stations in consideration of price competition. The oil price determined in this way was entered into the Point Of Sales (POS) system and oil price indicator and provided to users or applied when selling oil.

As described above, there is a problem that the conventional gas station determines the oil price and displays the determined oil price manually, so it is cumbersome due to frequent changes in the oil price and the rapid oil price determination cannot be performed, so there is a problem that it may fall behind in competition with neighboring gas stations. .

In addition, in determining the oil price, it is necessary to appropriately determine the oil price in various aspects by considering not only the oil price of a nearby gas station, but also the fueling time, fueling amount, customer information, or international oil price that users refuel.

Korean Patent Registration No. 10-2052270

The present invention is to solve the problems of the prior art as described above, and an object thereof is to determine the final oil price based on various oil price determining factors.

Oil price determination method according to the present invention for achieving the above object comprises the steps of inputting a reference oil price at the current time; learning an oil price determination algorithm for calculating a state change index according to at least one oil price determining factor; inputting the oil price determining factors of the current state into the learned oil price determining algorithm to calculate a state change index of the current state; and determining a final oil price by applying the calculated state change index to the reference oil price.

Here, the oil price determining factor is transaction history information according to a refueling time zone, and the transaction history information may include the number of users refueling for each time zone on a specific day.

In addition, the oil price determination algorithm is learned by analyzing the number of transactions for each time period and the corresponding state change index during the previous predetermined period, and the number of users refueling for each time period of the specific day is calculated using the learned oil price determination algorithm. can

In addition, the fuel price determining factor may be information on the surrounding oil price, and the information on the surrounding oil price may include gas prices sold at a plurality of gas stations located at a predetermined distance from a specific gas station.

In addition, the oil price determination algorithm applies the oil price increase/decrease information set in the user terminal to the calculated state change index by analyzing the average price of oil sold at the plurality of gas stations to determine the final oil price at the specific gas station in real time. can decide

In addition, the fuel price determining factor may be fueling amount information according to a refueling time zone, and the refueling amount information may include an amount of refueling by users for each time zone of a specific day.

In addition, the learned oil price determination algorithm is learned by analyzing the oil price determination algorithm for each time period during the previous predetermined period and the corresponding state change index, and the learned oil price determination algorithm can be used to calculate the fuel oil amount for each time period of the specific day. .

In addition, the oil price determining factor is international oil price information, the international oil price information includes a plurality of petroleum product prices, and the oil price determination algorithm learns the degree to which the price of the plurality of petroleum products has changed during a previous predetermined period, the learning The final oil price can be determined by calculating the degree of increase or decrease in the price of the plurality of petroleum products as a state change index using the oil price determination algorithm.

In addition, the oil price determining factor is fueling pattern information, the fueling pattern information includes a change in the number of transactions according to the price, and the change in the number of transactions according to the price is the number of transactions in each of a plurality of preset oil price ranges. may include

In addition, the state change index is calculated by comparing the number of transactions in the first oil price range and the second oil price range using the oil price determination algorithm, and the change in the minimum number of transactions among the changes in the number of transactions between the plurality of oil price ranges The displayed oil price can determine the final oil price.

In addition, the oil price determining factor is customer information, and the customer information includes at least one of a type of petroleum product paid by the user, an amount of the petroleum product, a payment time, a payment method, and a payment price, and the oil price determination algorithm By analyzing and learning customer information for a certain period of time, it is possible to determine the final oil price.

In addition, the oil price determination algorithm learns a state change index according to the number of times that users have visited a specific gas station during a previous predetermined period based on the customer information, and uses the learned oil price determination algorithm to allow the users to visit the specific gas station The final oil price can be determined according to the state change index according to the time period.

In addition, the previous schedule period may include one of a period of the previous day, last week, last month, last quarter, and last year.

In addition, the at least one oil price determining element includes a plurality of oil price determining elements, and the plurality of oil price determining elements include transaction history information, fueling amount information, surrounding oil price information, international oil price information, fueling pattern information, and customer information. can

In addition, the final oil price is determined by applying at least two or more of the plurality of state change indices calculated according to the plurality of oil price determining factors by the oil price determination algorithm, and a weight is given to each of the plurality of state change indices. can

In addition, the inputting of the reference oil price at the current time may include inputting oil price information on an average oil price, and the average oil price at the current time may be applied as the reference oil price.

In addition, a learning data set is configured for learning the oil price determination algorithm, wherein the learning data set includes refueling time information, refueling amount information corresponding to the refueling time information, oil price information, and actual sales information, and the oil price The determination algorithm is learned by inferring the relationship between the information, and by using the learned oil price determination algorithm, it is possible to derive the optimum oil price that can drive the maximum sales in response to the input time information.

On the other hand, the oil price determination system according to the present invention for achieving the above object, the oil price information acquisition unit for receiving the reference oil price of the current time; an oil price analysis unit for learning an oil price determination algorithm for calculating a state change index according to at least one oil price determining factor, and inputting the oil price determining factor of the current state into the learned oil price determining algorithm to calculate a state change index of the current state; and a price determination unit configured to determine a final oil price by applying the oil price determining factor to the reference oil price.

The oil price determination method and system according to the present invention has the following effects.

First, it can respond appropriately to surrounding oil prices. The oil price determination system according to the present invention may determine the price of oil sold at a specific gas station by comparing information on the price of oil sold at gas stations around the specific gas station. There may be a plurality of such nearby gas stations. Therefore, after receiving oil prices from a plurality of nearby gas stations located within the distance range of a specific gas station, calculating the average of the corresponding gas prices, and adjusting the oil price of a specific gas station upward or downward based on the average. Accordingly, it is possible to secure price competitiveness of the oil price sold at a specific gas station by appropriately responding to the surrounding oil price and adjusting the oil price.

Second, oil prices can be determined differently according to customer information. According to an embodiment of the present invention, it is possible to adjust the price of oil, which is frequently sold or sparsely sold among petroleum products, based on customer information refueling at a specific time. Customer information includes refueling time, refueled petroleum products and prices, etc., so you can check the petroleum products and prices sold during the time period. The price can be adjusted adaptively by making an adjustment that lowers the price.

Third, oil prices can be determined differently according to international oil prices. In an embodiment of the present invention, information on international oil prices may be received. At this time, the information on the international oil price may include prices for a plurality of petroleum products generated from crude oil, respectively. Accordingly, it is possible to appropriately respond to the margin of oil prices sold according to changes in international oil prices by applying the oil prices sold for a plurality of petroleum products in real time in response to changes in international oil prices.

Fourth, the oil price may be determined differently according to the fueling pattern. In the oil price determination system according to the present invention, the number of transactions in which the oil price is traded according to the price is learned. Accordingly, it is possible to determine a price for optimal sales by providing a plurality of predetermined oil price ranges and determining the oil price based on the number of transactions performed within each oil price range.

Fifth, the oil price may be determined differently depending on the amount of fuel. The oil price determination method and system according to the present invention can learn a time zone with a large fueling amount and a time zone with a low fueling amount to differentially apply the oil price for each fueling time zone. In other words, by learning the amount of fuel traded in a predetermined period, the oil price can be applied upward from the current reference oil price during times of high fueling volume during the day, and lowered from the current reference oil price during times of low fueling volume. . Accordingly, it is possible to maximize the profit related to oil sales by adaptively applying the oil price to a time period with a large amount of refueling and a time period with a small amount of refueling.

Sixth, oil prices can be determined differently for each refueling time. The oil price determination method and system according to the present invention can differentially apply the oil price for each refueling time by learning a time period with many users and a time period with a small number of users. In other words, by learning the number of transactions for a predetermined period, the oil price can be applied upward from the current standard oil price during a time period with a large number of users, and lowered from the current reference oil price during a time period with a small number of users. By doing so, it is possible to adaptively promote sales to users by selling oil at a low price during times when users are not crowded.

1 is a diagram schematically showing that an oil price determination system, an oil price information providing server, and a user terminal are interlocked with each other according to an embodiment of the present invention.
2 is a block diagram showing the configuration of an oil price determination system according to an embodiment of the present invention.
3 is a flowchart illustrating a method for determining an oil price according to an embodiment of the present invention.
4 is a diagram exemplarily illustrating determining an oil price based on a transaction history in a method for determining an oil price according to an embodiment of the present invention.
5 is a diagram exemplarily illustrating determining an oil price based on a surrounding oil price in a method for determining an oil price according to an embodiment of the present invention.
6 is a view exemplarily showing determining the oil price based on the fueling amount in the oil price determination method according to an embodiment of the present invention.
7 is a diagram exemplarily illustrating determining the oil price based on the international oil price in the oil price determination method according to an embodiment of the present invention.
8 is a diagram exemplarily illustrating determining an oil price based on a fueling pattern in a method for determining an oil price according to an embodiment of the present invention.
9 is a diagram exemplarily illustrating determining an oil price based on customer information in a method for determining an oil price according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. However, some components irrelevant to the gist of the present invention will be omitted or compressed, but the omitted configuration is not necessarily a configuration that is not necessary in the present invention, and will be used in combination by those of ordinary skill in the art to which the present invention belongs. can

1 is a diagram schematically showing that an oil price determination system, an oil price information providing server, and a user terminal are interlocked with each other according to an embodiment of the present invention.

As shown in FIG. 1 , the oil price determination system 10 according to an embodiment of the present invention may receive oil price information by interworking with the oil price information providing server 20 and the user terminal 30 . For example, the oil price information may be information provided by a public institution or a public company. For example, the oil price information providing server 20 may correspond to an opinet provided by Korea National Oil Corporation. Such oil price information may be information including prices sold at a number of gas stations located in each region, information including prices sold at a number of gas stations located by road, and a certain distance from a specific gas station and a specific gas station. It may be information including prices sold at a plurality of gas stations located in . Here, the oil price information providing server 20 may be provided inside the oil price determination system 10 or may be provided outside the oil price determination system 10 according to implementation.

In addition, the oil price information may include an average domestic oil price. In other words, it is the arithmetic average of the oil prices at gas stations across the country across all refineries located across the country and gas stations that supply petroleum products from the refineries. This average oil price may be calculated as a value obtained by dividing the sum of the gas prices at individual gas stations by the total number of gas stations. Therefore, in the oil price information, the average oil price may include daily average oil price, weekly average oil price, monthly average oil price, quarterly average oil price, or annual average oil price. there is. The oil price information may include only one average oil price as described above, but may include information on at least one or more oil prices including all average oil prices.

In general, oil may be classified into a plurality of petroleum products obtained by processing crude oil, and accordingly, oil price information may include an average oil price for each of the plurality of petroleum products. The plurality of petroleum products may include, for example, premium gasoline, ordinary gasoline, indoor kerosene, boiler kerosene, and automobile diesel. Accordingly, the average oil price may include a daily average oil price, a weekly average oil price, a monthly average oil price, a quarterly average oil price, and an annual average oil price for each of the plurality of petroleum products.

In addition, the oil price determination system 10 may receive information on international oil prices from the oil price information providing server 20 . International oil prices may include West Texas Intermediate, Dubai, Brent, etc. in crude oil, and for petroleum products, gasoline, kerosene, diesel, high sulfur heavy oil, naphtha, etc. may be included. Therefore, the oil price determination system 10 may receive only one or all of the oil price information for a plurality of crude oil and oil price information for petroleum products when receiving the international oil price information.

In this way, the oil price determination system 10 can receive the average oil price for a plurality of petroleum products sold at a plurality of gas stations located in Korea from the oil price information providing server 20, and also information on the international oil price of crude oil and It is possible to receive information about a plurality of petroleum products.

The user terminal 30 may access the oil price determination system 10 through a user interface and transmit input information set by the operator. The input information set by these operators may be information that determines the degree of rise or fall of oil prices. In addition, it may be information for selecting an oil price determining factor applied when determining the oil price. Accordingly, the oil price determination system 10 may determine the specific date or current oil price based on the oil price determining factor set by the operator.

2 is a block diagram showing the configuration of the oil price determination system 10 according to an embodiment of the present invention.

As shown in FIG. 2 , the oil price determination system 10 according to an embodiment of the present invention includes an oil price information acquisition unit 100 , a customer information management unit 121 , an oil price analysis unit 110 , and a price determination unit 120 . ) may be included. The oil price determination system 10 may receive the current average oil price from the oil price information providing server 20 , and the current average oil price may be applied as a reference oil price.

The oil price information obtaining unit 100 is configured to receive oil price information from the oil price information providing server 20 . Such oil price information may include domestic oil price information and international oil price information. Specifically, the domestic oil price information may include the average oil price classified by region for each gas station located in the country, or the average oil price classified by road, such as a highway or national road. Also, the oil price information may include a daily average oil price, a weekly average oil price, a quarterly average oil price, an annual average oil price, and the like for a plurality of petroleum products sold in Korea. This average oil price may be applied as the current average oil price, and this may be applied as a reference oil price when determining the oil price. In addition, the oil price information acquisition unit 100 may receive international oil price information. The international oil price information may include oil prices for a plurality of crude oils among international oil prices and oil prices for a plurality of petroleum products among international oil prices. Such a plurality of crude oil may include West Texas Intermediate (West Texas Intermediate), Dubai oil (Dubai), Brent oil (Brent), and the like. In addition, the international oil price information may be information on a plurality of petroleum products including gasoline, kerosene, diesel, high sulfur heavy oil, naphtha, and the like. The oil price information acquisition unit 100 may be connected to the oil price information providing server 20 through a network to receive such domestic oil price information and international oil price information. In addition, the oil price information may be directly input by the operator through the user terminal 30 .

The customer information management unit 121 is configured to manage a plurality of pieces of information about a plurality of users who paid for petroleum products at a gas station, that is, customer information. The customer information management unit 121 may manage customer information in the form of a database, and may be provided inside the oil price determination system 10 or may be provided outside the oil price determination system 10 depending on implementation. . Here, the customer information may include at least one of a petroleum product paid by the user, an amount of the petroleum product, a payment time, a payment method, and a payment price.

The oil price analysis unit 110 is configured to analyze the current oil price determining factors based on the oil price determining factors learned in advance and the current oil price information received from the oil price information providing server 20 by the oil price information obtaining unit 100 . The oil price analysis unit 110 includes a transaction history analysis unit 111, a surrounding oil price analysis unit 112, a fueling volume analysis unit 113, an international oil price analysis unit 114, a fueling pattern analysis unit 115, and customer information analysis. may include wealth. Here, the current oil price information is set as the current average oil price in Korea, which may be applied as the reference oil price as described above. Therefore, the final oil price increased or decreased from the existing oil price is determined by applying the state change index calculated by the oil price analysis unit 110 analyzing and learning based on the oil price determining factors to the reference oil price. In addition, the reference oil price may be set by the operator through the user terminal 30 .

The transaction history analysis unit 111 is configured to classify transaction history information in which petroleum products are traded at a specific gas station into a predetermined period, learn in advance, and calculate the current transaction history. In this case, the determinant of oil price is the transaction history. The transaction history analysis unit 111 may learn transaction history information according to the fueling time in advance. Transaction history information according to the refueling time zone is a time zone with a large number of transactions and a time zone with a small number of transactions in a day, and the transaction history analysis unit 111 analyzes and learns this to calculate the number of transactions according to the current or specific day's refueling time zone. Here, the number of transactions according to the refueling time period becomes the state change index. The number of transactions may be set as the number of transactions in the previous day, the number of transactions in the past month, the amount of gas in the last quarter, the number of transactions in the past year, or the number of transactions on a specific date.

The surrounding oil price analysis unit 112 is configured to calculate an average oil price of surrounding oil prices based on oil price information of a plurality of gas stations located in the vicinity of a specific gas station. At this time, the determinant of oil price is the surrounding oil price. The surrounding oil price analysis unit 112 may analyze and learn the oil prices of a plurality of gas stations located within a predetermined distance range and calculate the arithmetic average. Here, the state change index is the average oil price sold at a nearby gas station.

The fueling rate analysis unit 113 is configured to classify the fueling amount information at which petroleum products are traded at a specific gas station into a predetermined period, learn in advance, and calculate the current fueling amount. At this time, the determining factor of the oil price is the amount of fuel. The fueling amount analyzer 113 may learn in advance the fueling amount information according to the fueling time. The fueling amount information according to the refueling time period is a time period with a large amount of refueling and a time with a small amount of refueling during the day, and the refueling amount analyzer 113 analyzes and learns this to calculate a different refueling amount for the current or a specific day's refueling time. The refueling amount may be set as the refueling amount of the previous day, the refueling amount for the past month, the refueling amount of the last quarter, the refueling amount of the last year, or the refueling amount on a specific date.

The international oil price analysis unit 114 is configured to analyze and learn the received international oil price information to calculate changes in international oil prices. Here, the determinant of oil price is the international oil price. The international oil price analysis unit 114 may calculate a state change index by analyzing and learning changes in the prices of a plurality of petroleum products so that the changes in international oil prices can be applied to the reference oil prices in real time based on the received international oil price information. . Accordingly, the state change index is the change in the international oil price for a certain period of time.

The fueling pattern analysis unit 115 is configured to calculate the number of transactions according to a preset oil price range by analyzing and learning the fueling pattern information based on the fueling pattern information of users. At this time, the determinant of oil price becomes the fueling pattern. The fueling pattern analysis unit 115 may learn by analyzing the change in the number of transactions according to the oil price range. The change in the number of transactions according to the oil price range may be based on a difference in the number of transactions performed within each oil price range by providing a plurality of predetermined oil price ranges. Here, the state change index is the change in the number of transactions according to the oil price range.

The customer information analysis unit 116 is configured to analyze based on information of a user or customer who has paid for petroleum products. Such customer information may include at least one of a petroleum product paid by the user, an amount of the petroleum product, a payment time, a payment method, and a payment price. Accordingly, the customer information analysis unit 116 may analyze the customer information of a plurality of customers using a specific time period in advance so that the price of the petroleum product, which is frequently traded among the plurality of petroleum products, can be adjusted.

The price determination unit 120 applies the state change index according to the oil price determining factors calculated by the oil price analysis unit 110 , and increases or decreases the oil price from the reference oil price based on the oil price increase/decrease information set in the user terminal 30 . This is the composition that determines the final oil price by doing so.

Hereinafter, a method for determining the oil price will be described with reference to the drawings.

3 is a flowchart illustrating a method for determining an oil price according to an embodiment of the present invention.

As shown in FIG. 3 , in the oil price determination method according to an embodiment of the present invention, the reference oil price at the current time may be initially input. <S30> In this case, the reference oil price may be applied as the average oil price at the current time. .

Next, it is possible to learn an oil price determination algorithm that calculates a state change index according to at least one oil price determining factor. <S31> Here, the oil price determining factor includes transaction history information according to the fueling time and a plurality of locations located around a specific gas station. It may include information on gas prices of gas stations, fueling amount information according to fueling time, international oil price information, fueling pattern information, customer information, and the like. In addition, the status change index shows the change in the number of transactions by time period for a certain period, the average of oil prices sold at nearby gas stations, changes in the amount of gas per hour for a certain period, changes in international oil prices over a period of time, and changes in the number of transactions according to the range of oil prices , customer information of a specific time period, etc. may be included.

Thereafter, the oil price determining factor of the current state may be input to the learned oil price determining algorithm to calculate the current state change index. <S32> Here, the state index change according to the oil price determining factor is one state change index. may be applied, or at least two or more state change indices may be applied. When at least two or more state change indices are applied, a weight may be applied to each state change index.

Finally, the final oil price can be determined by applying the oil price determining factor to the reference oil price. <S33> As the oil price is determined, the operator of a specific gas station can adaptively increase or decrease the oil price from the reference oil price to maximize sales. can

Here, the oil price determination algorithm may be a program whose output is derived by input. In addition, the algorithm for learning may be an algorithm learned by deep learning, or an algorithm learned by machine learning may be applied. Therefore, analysis methods based on big data can be applied in various ways.

In addition, deep learning algorithms include Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Deep Neural Networks (DNN), Recurrent Neural Network (RNN), Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Q. Various methodologies such as -Network and Generative Adversarial Networks (GAN) can be used.

In addition, as the machine learning algorithm, various methodologies such as linear regression, logistic regression, feed-forward neural networks, support vector machine, naive Bayesian, conditional random field, decision tree learning method, clustering and dimension reduction may be used.

Since the deep learning algorithm and the machine learning algorithm are well-known technologies, a detailed description thereof will be omitted.

Hereinafter, a process of determining the oil price based on the transaction history will be described with reference to the drawings.

4 is a diagram exemplarily illustrating determining an oil price based on a transaction history in a method for determining an oil price according to an embodiment of the present invention.

As shown in FIG. 4 , in the oil price determination method according to an embodiment of the present invention, determining the oil price based on the transaction history learns the transaction history information according to the fueling time of the day by the oil price determination algorithm, and then today It is to adjust the price of oil sold during the time period with the most transactions or the time period with few transactions among the operating hours of the gas station. Here, the oil price determining factor is transaction history information.

Specifically, the transaction history information according to the fueling time is the number of transactions conducted in a specific time period, and the number of such transactions increases when users are crowded, but decreases during times when users are not crowded. Accordingly, the state change index is the number of transactions according to the refueling time period. Therefore, in order to adaptively apply this situation when determining the oil price, the price of oil sold during the time when users are crowded is higher than the standard oil price to proceed with the transaction, and the price of oil sold during the time when users are not crowded is lower than the standard oil price. can be made to proceed.

The oil price determination system 10 allows users to increase profits by transacting the oil price higher than the reference oil price in the time period when users are crowded, and makes the oil price cheaper than the reference oil price in the time period when users are not crowded. To actively attract users, an oil price determination service can be provided. In addition, event coupons that can be used during the corresponding refueling time may be issued and provided to users.

Here, the transaction history analysis unit 111 may analyze the transaction history in various ways in order to calculate or derive a change in the state index according to the oil price determining factor. That is, the input variable is the fueling time of the previous certain period, the output variable is a learning data set set by the number of transactions per time period, and the transaction history analysis unit 111 is an algorithm for deriving the fueling amount that is the output variable for the input variable. It can learn while changing the hyper parameter of .

In addition, the number of transactions performed for each time zone of the previous predetermined period may be recognized as the number of refueling users.

Here, the previous predetermined period may be applied in various ways.

Specifically, the previous predetermined period can be set to one of the previous day, last week, last month, last quarter, and last year, and the transaction history analysis unit 111 analyzes and learns with an oil price determination algorithm based on the number of transactions at this time. A change index can be calculated.

For example, when the previous predetermined period is the previous day, it is the case of just yesterday of the current transaction day, and the time period in which the number of transactions is the highest among 24 hours of the previous day may be sequentially learned. In other words, in the case of yesterday, it is assumed that the number of transactions was the highest between 14:00 and 15:00, and the lowest number of transactions between 3 and 4 during the fueling time of users.

The transaction history analysis unit 111 analyzes and learns the number of transactions according to the fueling time in advance, and calculates a state change index so that the oil price rises above the reference oil price between 14:00 and 15:00 during the refueling time of the current transaction day. On the contrary, between 3 and 4 o'clock during the refueling time of the current trading day, the state change index can be calculated so that the oil price is lowered than the reference oil price.

Such a time period may be different according to a business operator setting. That is, the operator may set the time zone in units of 1 hour through the user terminal 30 , or may set the time in units of 30 minutes or 2 hours. In addition, the detailed time of the refueling time can be set not only from 14:00 to 15:00, but also from 14:30 to 15:30, etc. in various time zones.

As such, after the state change index is calculated so that the oil price sold in a specific time period rises or falls relative to the reference oil price, the price determination unit 120 determines the final oil price so that the sold oil price rises or falls from the reference oil price. can

Specifically, the extent to which the price of sold oil rises or falls may be determined by the operator of a specific gas station. That is, the operator may set the oil price increase/decrease information through the user terminal 30 , and the price determination unit 120 sells petroleum products according to the oil price increase/decrease information set by the user terminal 30 during a time period in which the number of transactions is large. You can set the oil price increase/decrease information so that the oil price rises by at least 5% to a maximum of 10% compared to the reference oil price in . can

In other words, according to the range of the upper and lower limits of the oil price increase/decrease information set by the user, the price determination unit 130 may determine the oil price so that the reference oil price rises 10% in the time period with the largest number of transactions, and the number of transactions is the highest. In a small time period, the price can be determined so that the base oil price is reduced by 10%. Accordingly, the price determination unit 120 may determine the optimum oil price for maximum sales according to the distance history information.

The oil prices sold in this way may be applied collectively, but may be applied to each petroleum product. In other words, since the time period during which each petroleum product is frequently sold may be different, it is possible to determine that the price of gasoline rises during a time period with a large number of transactions of gasoline, and on the contrary, it can be determined that the price of gasoline decreases during a time period with a small number of transactions. there is.

As another example, a case in which the previous predetermined period is a week in the past is also possible. That is, based on the week before the current trading day, the time period with the largest number of transactions among 24 hours of each day is statistically calculated, and the time period with the largest number of transactions is analyzed by the transaction history analysis unit 111 by the oil price determination algorithm and learned can do. Accordingly, it is assumed that the number of transactions during the past week was the highest between 12:00 and 13:00 and the lowest between 2:00 and 3 PM during the fueling time of users.

The transaction history analysis unit 111 analyzes and learns the number of transactions according to the fueling time in advance, and calculates a state change index so that the oil price rises above the reference oil price between 12:00 and 13:00 during the refueling time of the current transaction day. On the contrary, between 2 and 3 o'clock during the refueling time of the current trading day, the state change index can be calculated so that the oil price is lowered than the reference oil price.

If the current day of the week is Tuesday, the transaction history analysis unit 111 may perform learning based on the number of transactions performed in a specific time period from yesterday, Monday to last Tuesday.

As described above, after the state change index is calculated so that the oil price sold in a specific time period rises or falls compared to the reference oil price, the price of the oil sold by the pricing unit 120 rises or falls from the reference oil price in the same manner as described above. The final oil price can be determined as much as possible.

Specifically, the extent to which the price of sold oil rises or falls may be determined by the operator of a specific gas station. That is, the operator may set the oil price increase/decrease information through the user terminal 30 , and the price determination unit 120 sells petroleum products according to the oil price increase/decrease information set by the user terminal 30 during a time period in which the number of transactions is large. You can set the oil price increase/decrease information so that the oil price rises by at least 5% to a maximum of 10% compared to the reference oil price in . can

In other words, according to the range of the upper and lower limits of the oil price increase/decrease information set by the user, the price determination unit 130 may determine the oil price so that the reference oil price rises 10% in the time period with the largest number of transactions, and the number of transactions is the highest. In a small time period, the price can be determined so that the base oil price is reduced by 10%.

As another example, a case in which the previous predetermined period has passed one month is also possible. That is, based on the month before the current trading day, the time period with the highest number of transactions among 24 hours of each day is statistically calculated, and the time period with the largest number of transactions is analyzed by the transaction history analysis unit 111 by the oil price determination algorithm. can learn Accordingly, if the user's refueling time during the past month was between 12:00 and 13:00 and the lowest number of transactions between 2 and 3 o'clock, the transaction history analysis unit 111 performs such refueling. The number of transactions according to time zone is analyzed and studied in advance, and between 12:00 and 13:00 during the refueling time of the current trading day, the state change index is calculated so that the oil price rises above the standard oil price to set the oil price. Between 3 o'clock and 3 o'clock, the state change index can be calculated so that the oil price is lower than the reference oil price.

If the current date is September 1, the transaction history analysis unit 111 may perform learning based on the number of transactions conducted in a specific time period from August 1 to August 31, and the current date is September If it is 2 days, the transaction history analysis unit 111 may perform learning based on the number of transactions conducted in a specific time period from August 2 to September 1.

As described above, after the state change index is calculated so that the oil price sold in a specific time period rises or falls compared to the reference oil price, the price of the oil sold by the pricing unit 120 rises or falls from the reference oil price in the same manner as described above. The final oil price can be determined as much as possible.

Specifically, the extent to which the price of sold oil rises or falls may be determined by the operator of a specific gas station. That is, the operator may set the oil price increase/decrease information through the user terminal 30 , and the price determination unit 120 sells petroleum products according to the oil price increase/decrease information set by the user terminal 30 during a time period in which the number of transactions is large. You can set the oil price increase/decrease information so that the oil price rises by at least 5% to a maximum of 10% compared to the reference oil price in . can

In other words, according to the range of the upper and lower limits of the oil price increase/decrease information set by the user, the price determination unit 130 may determine the oil price so that the reference oil price rises 10% in the time period with the largest number of transactions, and the number of transactions is the highest. In a small time period, the price can be determined so that the base oil price is reduced by 10%.

Thereafter, it may be input to a Point Of Sales (POS) system and an oil price indicator and notified to the user.

As such a similar example, a case in which the previous predetermined period has passed may be the case, and a case in which the previous predetermined period has passed may also be the case.

In the case of a quarter, if the current date is included between April and June, the transaction history analysis unit 111 learns the number of transactions related to the first quarter from January to March to calculate a state change index, and the current date is If it is included between July and September, it is possible to calculate the state change index by learning the number of transactions for the second quarter from April to June.

In the case of the past year, if the current date is January 1, 2020, the transaction history analysis unit 111 can calculate the state change index by learning the number of transactions from January 1, 2019 to December 31, 2019. And if the current date is January 2, 2020, it is possible to calculate the state change index by learning the number of transactions from January 2, 2019 to January 1, 2020.

In addition, the sold oil price may be applied collectively, but may be applied to each petroleum product. In other words, since the frequently sold time period for each petroleum product may be different, the final oil price can be determined to increase the price of gasoline during a time period with a large number of gasoline transactions, and conversely, the price of gasoline can decrease during a time period with a small number of transactions for gasoline. to determine the final oil price.

Hereinafter, a process of determining the oil price based on the surrounding oil price will be described with reference to the drawings.

5 is a diagram exemplarily illustrating determining an oil price based on a surrounding oil price in a method for determining an oil price according to an embodiment of the present invention.

As shown in FIG. 5 , in the oil price determination method according to an embodiment of the present invention, determining the oil price based on the surrounding oil price is based on the average oil price sold at a plurality of gas stations within a certain distance range of a specific gas station in real time. can decide Here, the oil price determining factor is surrounding oil price information.

Specifically, a plurality of gas stations may be located around a specific gas station. At such a plurality of gas stations, petroleum products may be sold at different oil prices. Therefore, in order to secure price competitiveness with nearby gas stations, it is necessary to determine the final oil price by referring to the prices of oil sold at nearby gas stations.

Here, the surrounding oil price may be received by the oil price information providing server 20 and the oil price information obtaining unit 100 connected to the network. For example, oil price information sold at a plurality of gas stations located within a 5 km radius of a specific gas station may be received, and the surrounding oil price analysis unit 112 may analyze and learn.

In this case, information on oil prices sold at a plurality of gas stations located within a 5 km radius of a specific gas station may be all different. Therefore, the surrounding oil price analysis unit 112 may be learned by the oil price determination algorithm to calculate the average of the oil prices sold at a plurality of gas stations. Accordingly, the state change index is the average oil price sold at a nearby gas station. As for the average oil price of such a nearby gas station, a new state change index may be calculated whenever the oil price sold at the nearby gas station changes. That is, the input variable is the ambient oil price, the output variable is a learning data set set to the average oil price, and the ambient oil price analysis unit 112 is the input variable hyper parameter of the algorithm for deriving the average oil price as the output variable. ) can be learned while changing.

After calculating the state change index by calculating the average of the prices of oil sold at a plurality of nearby gas stations, the price difference may be calculated by comparing with the prices of oil sold at a specific gas station. As such, the distance range according to the radius of a specific gas station can be applied in various ways as well as 5 km.

This price difference may proceed for each petroleum product. That is, gasoline sold at a specific gas station may be cheaper by 100 won compared to the average oil price of a nearby gas station, kerosene may be expensive by 100 won, and diesel may be cheaper by 50 won. Due to such a difference, the surrounding oil price analysis unit 112 may calculate a price difference for each of the plurality of petroleum products. At this time, the average fuel price of gas stations around may be notified to the user terminal 30 .

In this way, after the surrounding oil price analysis unit 112 analyzes the average oil price of the surrounding gas stations, the price determination unit 120 may determine the final oil price of the specific gas station.

Specifically, the final oil price may be determined to be equal to or lower than the average oil price sold at a nearby gas station. This may be determined by the operator of a specific gas station through the user terminal 30 . That is, the operator may set at least the same as the average oil price of a nearby gas station when selling petroleum products according to the oil price increase/decrease information set through the user terminal 30 , or 5% to 10% of the average oil price of the surrounding oil price It can be set to be determined by falling. Accordingly, the price determination unit 120 may determine the final oil price sold at a specific gas station by applying the state change index according to the surrounding oil price to the reference oil price. The degree of determining the oil price compared to the average oil price of nearby gas stations can be applied in various ways.

Also, the price determination unit 120 may determine the final oil price to be sold according to a preset oil price ranking in a state including the average oil price. For example, in a state in which the price determination unit 120 ranks the gas stations in ascending order based on the surrounding oil price information, the operator of a specific gas station uses the user terminal 30 to select a specific gas station from among the surrounding oil prices. It is to set the oil price to the third highest. In this case, the third highest oil price may be higher than the average oil price. Accordingly, the price determination unit 120 may determine the final oil price such that the gasoline price of a specific gas station is the third highest among the plurality of surrounding gas stations with reference to the surrounding oil price information. Accordingly, the price determination unit 120 may determine the optimal oil price for maximum sales according to the surrounding oil price information.

At this time, if the oil price in the third order is out of the oil price range to which the oil price increase/decrease information set by the operator is applied, the price determination unit 120 does not apply the oil price in the third order, and matches the third order as much as possible according to the oil price increase/decrease information. You can also decide the price of oil.

Therefore, the price determination unit 120 may compare the final oil price with the average oil price to maximize the sales increase of the business operator and determine whether the final oil price is the same or decreases, and may determine the oil price to be sold according to the oil price ranking including the average oil price.

Thereafter, it may be input to a Point Of Sales (POS) system and an oil price indicator and notified to the user.

Hereinafter, with reference to the drawings, a description will be given of determining the oil price based on the amount of fuel.

6 is a view exemplarily showing determining the oil price based on the fueling amount in the oil price determination method according to an embodiment of the present invention.

As shown in FIG. 6 , in the fuel price determination method according to an embodiment of the present invention, determining the oil price based on the fueling amount learns the fueling amount information according to the fueling time of the day by the fuel price determination algorithm, and then today's gas station It is to adjust the price of oil sold during the hours when refueling is high or when refueling is low during business hours. Here, the oil price determining factor is fuel quantity information.

Specifically, the refueling amount information according to the refueling time period is the refueling amount performed in a specific time period, and this refueling amount may increase during a time when users are crowded, but may decrease during a time when users are not driven. In addition, a small number of users may refuel a lot regardless of the time when the users gather.

Therefore, when determining the oil price, in order to adaptively apply it to this situation, the transaction can be carried out by raising the oil price above the reference oil price during times of high fueling volume and lowering the oil price from the reference oil price during times of low fueling volume. there is. Accordingly, the state change index becomes the fueling amount for each time period for a predetermined period.

The oil price determination system 10 allows users to increase profits by transacting the oil price higher than the reference oil price in the time period when the fueling volume is high, and allows the user to trade the oil price at a lower price than the reference oil price in the time period when the fueling amount is low, so that the oil price is usually low It is possible to provide an oil price determination service to actively attract users.

Here, the fuel flow analysis unit 113 may analyze the fuel flow rate in various ways in order to calculate a state index change according to the oil price determining factors. That is, the input variable is the refueling time of the previous predetermined period, the output variable is composed of a learning data set set to the refueling amount by time period, and the refueling rate analysis unit 113 is the hyper of the algorithm for deriving the refueling amount that is the output variable for the input variable. You can learn while changing the hyper parameter.

Meanwhile, the previous predetermined period may be applied in various ways.

That is, the fueling amount analysis unit 113 may analyze the fueling amount for each time zone of the previous predetermined period as fueling amount information according to the fueling time period. This prior period of time can be applied in a variety of ways.

Specifically, the previous predetermined period can be set to one of the previous day, the last week, the last month, the last quarter, and the last year. can be calculated.

For example, when the previous predetermined period is the previous day, it is the case of just yesterday of the current trading day, and the time period in which the fuel consumption was the highest among 24 hours of the previous day may be sequentially learned. That is, in the case of yesterday, it is assumed that the fueling amount was highest between 14:00 and 15:00 and the lowest between 3 and 4 o'clock.

The fueling quantity analysis unit 113 learns in advance the fueling amount according to such a fueling time period, and calculates a state change index so that the oil price rises above the reference oil price between 14:00 and 15:00 during the refueling time of the current transaction day, and on the contrary, the current During the refueling time of the trading day, between 3 and 4 o'clock, the state change index can be calculated so that the oil price is lower than the reference oil price.

Such a time period may be different according to a business operator setting. That is, the operator may set the time zone in units of 1 hour through the user terminal 30 , or may set the time in units of 30 minutes or 2 hours. In addition, the detailed time of the refueling time can be set not only from 14:00 to 15:00, but also from 14:30 to 15:30, etc. in various time zones.

As such, after the state change index is calculated so that the oil price sold in a specific time period rises or falls relative to the reference oil price, the price determination unit 120 determines the final oil price so that the sold oil price rises or falls from the reference oil price. can

Specifically, the extent to which the price of sold oil rises or falls may be determined by the operator of a specific gas station. That is, the operator can set the oil price increase/decrease information through the user terminal 30 , and the price determination unit 120 sells petroleum products according to the oil price increase/decrease information set in the user terminal 30. You can set the oil price increase/decrease information so that the oil price rises by at least 5% to 10% compared to the reference oil price and is determined by decreasing the oil price by 5% to 10% compared to the reference oil price in the time period when the amount of fuel is low. .

In other words, according to the range of the upper and lower limits of the oil price increase/decrease information set by the user, the price determination unit 130 may determine the oil price so that the base oil price rises by 10% in the time period with the largest amount of refueling, and at the time with the lowest refueling amount. can determine the price so that the base oil price is reduced by 10%. Accordingly, the price determination unit 120 may determine an optimal oil price for maximum sales according to the fuel quantity information.

The oil prices sold in this way may be applied collectively, but may be applied to each petroleum product. In other words, since the amount of fuel sold for each petroleum product may be different, for example, it can be determined to increase the price of gasoline in a time period when the amount of gasoline is high, and vice versa, in a time when the amount of fuel is low, the price of gasoline can be decreased. .

As another example, a case in which the previous predetermined period is a week in the past is also possible. That is, based on the week before the current trading day, the time period with the highest fueling volume among 24 hours of each day is statistically calculated, and the fueling volume analysis unit 113 can be studied by analyzing the time period with the largest fuel volume using the oil price determination algorithm. . Accordingly, during the past week, if the fueling amount was the highest between 12:00 and 13:00 and the number of transactions was the lowest between 2 and 3 o'clock, the gas flow analysis unit 113 analyzes the fueling amount according to the refueling time in advance. In the current trading day's refueling time, from 12:00 to 13:00, the state change index is calculated to set the oil price by rising above the standard oil price, and on the contrary, it falls below the standard oil price between 2 and 3 o'clock during the refueling time of the current trading day. Thus, the state change index can be calculated to set the oil price.

If the current day of the week is Tuesday, the fuel flow analysis unit 113 may perform learning based on the fuel flow rate in a specific time period from yesterday (Monday) to last Tuesday.

As described above, after the state change index is calculated so that the oil price sold in a specific time period rises or falls compared to the reference oil price, the price of the oil sold by the pricing unit 120 rises or falls from the reference oil price in the same manner as described above. The final oil price can be determined as much as possible.

Specifically, the extent to which the price of sold oil rises or falls may be determined by the operator of a specific gas station. The operator may set oil price increase/decrease information through the user terminal 30 , and the price determination unit 120 sells petroleum products according to the oil price increase/decrease information set in the user terminal 30 , and in a time zone with a large amount of fuel, the reference oil price The oil price increase/decrease information can be set so that the oil price rises by at least 5% to 10% compared to

In other words, according to the range of the upper and lower limits of the oil price increase/decrease information set by the user, the price determination unit 130 may determine the oil price so that the base oil price rises by 10% in the time period with the largest amount of refueling, and at the time with the lowest refueling amount. can determine the price so that the base oil price is reduced by 10%.

As another example, a case in which the previous predetermined period has passed one month is also possible. That is, based on the month before the current trading day, the time period with the largest amount of fuel among 24 hours of each day is statistically calculated, and the time period with the greatest amount of fuel is analyzed and learned by the fuel price analysis unit 113 by the oil price determination algorithm. there is. Accordingly, if the fueling amount was the highest between 12:00 and 13:00 and the lowest between 2 and 3 o'clock for the past month, the fueling amount analysis unit 113 analyzes the fueling amount according to the refueling time in advance. In the current trading day's refueling time, from 12:00 to 13:00, the state change index is calculated so that the oil price rises above the standard oil price to set the oil price. Thus, the state change index can be calculated to set the oil price.

If the current date is September 1, the fuel flow analysis unit 113 may perform learning based on the fuel flow rate performed in a specific time period from August 1 to August 31, and the current date is September 2 On the other hand, based on the number of transactions carried out in a specific time period from August 2 to September 1, the fuel flow analysis unit 113 may perform learning.

As described above, after the state change index is calculated so that the oil price sold in a specific time period rises or falls compared to the reference oil price, the price of the oil sold by the pricing unit 120 rises or falls from the reference oil price in the same manner as described above. The final oil price can be determined as much as possible.

Specifically, the extent to which the price of sold oil rises or falls may be determined by the operator of a specific gas station. The operator may set oil price increase/decrease information through the user terminal 30 , and the price determination unit 120 sells petroleum products according to the oil price increase/decrease information set in the user terminal 30 , and in a time zone with a large amount of fuel, the reference oil price The oil price increase/decrease information can be set so that the oil price rises by at least 5% to 10% compared to

In other words, according to the range of the upper and lower limits of the oil price increase/decrease information set by the user, the price determination unit 130 may determine the oil price so that the base oil price rises by 10% in the time period with the largest amount of refueling, and at the time with the lowest refueling amount. can determine the price so that the base oil price is reduced by 10%.

Thereafter, it may be input to a Point Of Sales (POS) system and an oil price indicator and notified to the user.

As such a similar example, a case in which the previous predetermined period has passed may be the case, and a case in which the previous predetermined period has passed may also be the case.

In the case of a quarter, if the current date is included between April and June, the gas flow analysis unit 113 learns the fuel flow for the first quarter from January to March to calculate a state change index, and the current date is July If it is included between September and April, it is possible to calculate the state change index by learning the fueling amount for the second quarter from April to June.

In the case of the past year, if the current date is January 1, 2020, the fuel flow analysis unit 113 calculates the state change index by learning the fuel flow from January 1, 2019 to December 31, 2019, and the current date If is January 2, 2020, the state change index can be calculated by learning the fueling amount from January 2, 2019 to January 1, 2020.

In addition, the sold oil price may be applied collectively, but may be applied to each petroleum product. That is, since the amount of refueling sold for each petroleum product may be different, for example, it can be determined to increase the price of gasoline in a time period when the amount of refueling of gasoline is high, and conversely, the final oil price to decrease the price of gasoline in a time period when the amount of refueling of gasoline is low. can be decided

Hereinafter, with reference to the drawings, it will be described that the oil price is determined based on the international oil price.

7 is a diagram exemplarily illustrating determining the oil price based on the international oil price in the oil price determination method according to an embodiment of the present invention.

7, in the oil price determination method according to an embodiment of the present invention, determining the oil price based on the international oil price information is based on the oil price determination algorithm after receiving the international oil price information from the oil price information providing server 20. can be analyzed and learned. Here, the oil price determining factor is international oil price information.

Specifically, the oil price information providing server 20 may provide international oil price information regarding a plurality of petroleum products traded internationally. Such international oil price information may be daily, weekly, monthly or annual information. Therefore, in the state in which the oil price information acquisition unit 100 receives the international oil price information for daily, weekly, monthly or annual, the international oil price analysis unit 114 determines the change in the international oil price to the standard oil price based on the received international oil price information. A state change index can be calculated by analyzing and learning changes in the price of a plurality of petroleum products so that they can be applied in real time. Accordingly, the state change index is the change in the international oil price for a certain period of time. That is, the input variable is the international oil price of the previous predetermined period, the output variable is a learning data set set to the international oil price on a specific day after the previous predetermined period, and the international oil price analysis unit 114 is a specific output variable for the input variable. You can learn while changing the hyper parameter of the algorithm that derives the international oil price for work.

Here, the applied international oil price information may be set as daily, weekly, monthly or yearly according to information input by the user terminal 30 .

For example, if the international oil price analysis unit 114 shows that the previous day's gasoline price rose 5% today in the international oil price information by the oil price determination algorithm, the international oil price analysis unit 114 calculates the change in the international oil price to the reference oil price. Apply the application to derive a state change index so that today's gasoline price rises by 5%, and the price determination unit 120 applies the state change index to increase the gasoline price by 5% from the standard oil price as the international oil price rises and sell the gasoline price is to determine Accordingly, the determined gasoline price may be input to the Point Of Sales (POS) system and the oil price indicator and notified to the user.

In addition, when the international oil price analysis unit 114 analyzed the weekly gasoline price from the international oil price information by the oil price determination algorithm, if it was found that the gasoline price rose 4% this week compared to the previous week, the international oil price analysis unit 114 is the standard By applying the change in the international oil price to the oil price, a change in the state index is derived to increase the gasoline price by 4% on a specific day, and the price determination unit 120 increases the gasoline price by 4% from the standard oil price as much as the international oil price rises and sells it. You can decide the price of gasoline. Accordingly, the determined gasoline price may be input to the POS system and the oil price indicator and notified to the user.

In addition, when the international oil price analysis unit 114 analyzes the monthly gasoline price from the international oil price information by the oil price determination algorithm, if it is found that the gasoline price in this month has risen by 10% compared to the previous month, the price determination unit Reference numeral 120 indicates that the gasoline price is determined to be sold by increasing the gasoline price by 10% from the reference oil price. Accordingly, the same determined gasoline price may be input to the POS system and the oil price indicator and notified to the user.

As described above, the process of operating the international oil price analysis unit 114 and the price determination unit 120 may be applied equally to the process for the annual oil price. Accordingly, the price determination unit 120 may determine the optimum oil price for maximum sales according to the international oil price information.

Hereinafter, determining the oil price based on the fueling pattern will be described with reference to the drawings.

8 is a diagram exemplarily illustrating determining an oil price based on a fueling pattern in a method for determining an oil price according to an embodiment of the present invention.

As shown in FIG. 8 , in the oil price determination method according to an embodiment of the present invention, the fueling pattern analysis unit 115 analyzes and learns the change in the number of transactions according to the oil price range, so that the change in the number of transactions according to the oil price range is Large and small intervals can be calculated. Here, the oil price determining factor is fueling pattern information, and the state change index is a change in the number of transactions according to a preset oil price range.

Specifically, the fueling pattern analysis unit 115 prepares a plurality of predetermined oil price ranges and analyzes and learns the number of transactions within each oil price range set by an oil price determination algorithm to calculate a state change index. there is. That is, the input variable is the oil price range, the output variable is a learning data set set with the number of transactions, and the fueling pattern analysis unit 115 is a hyper parameter of the algorithm for deriving the number of transactions, which is the output variable for the input variable. ) can be learned while changing.

For example, the price of gasoline in the last quarter or year is set in the range of 1200 to 1250 won for one section, and is set in the range from 1251 to 1300 won for the second section. It is assumed that a predetermined oil price range is set in a range increasing by 50 won, such as being set in the range of 1301 to 1350 won for 3 sections and from 1351 to 1400 won for 4 sections.

In this case, the number of transactions may be counted for each section. Accordingly, by comparing the number of transactions with adjacent sections, it is possible to determine the final oil price based on the aggregated price of changes in the number of transactions with the smallest width.

That is, in Fig. 8, when the oil price was changed between section 1 and section 2, the number of transactions decreased from 100 to 80, and between section 2 and section 3, 5 cases fell from 80 to 75, and in section 3, 4 In the interval, the fueling pattern analysis unit 115 analyzes and learns that one case has decreased from 75 cases to 74 cases, so that the state change index can be calculated. Therefore, the price determination unit 120 may determine the final oil price by applying the state change index to the 4 sections showing the smallest change in the number of transactions. Accordingly, the price determination unit 120 may determine the optimum oil price for maximum sales according to the fueling pattern information.

Here, one section of the preset oil price range has the largest number of transactions (100 cases), so users can expect frequent visits. Therefore, the range of oil prices showing the largest change in the number of transactions may not be appropriate to determine the final oil price. Accordingly, in one embodiment of the present invention, by analyzing the change in the number of transactions according to the preset oil price range, the business operator can properly secure the number of transactions and expect profits related to oil prices.

Hereinafter, determining the oil price based on customer information with reference to the drawings will be described.

9 is a diagram exemplarily illustrating determining an oil price based on customer information in a method for determining an oil price according to an embodiment of the present invention.

As shown in FIG. 9 , in the oil price determination method according to an embodiment of the present invention, the customer information analysis unit 116 uses an oil price determination algorithm to provide information to the users based on customer information of users who refueled at a specific time. You can learn by analyzing sold petroleum products. Here, the oil price determining factor is customer information, and the status change index is the number of visits by users.

Specifically, the customer information may include the type of petroleum product paid by the user, the amount of petroleum product, payment time, payment method, payment price, and the like. Accordingly, based on customer information using a specific gas station for a certain period of time, the customer information analysis unit 116 determines the number of times users visit the gas station, time zone, the type of petroleum product sold to the users, and the total amount of petroleum product sold. You can analyze and learn. Therefore, for users who frequently visit a specific gas station based on customer information, the price determination unit 120 may determine the final oil price by raising or lowering the petroleum products that they frequently trade compared to the reference oil price during the corresponding time period. Accordingly, the price determination unit 120 may determine an optimal oil price for maximum sales according to customer information.

This analysis of the number of visits to a specific gas station can be applied to occur during a specific week, or during a specific period such as monthly or yearly. That is, the input variable is the user, the output variable is a data set composed of the number of visits, and the fueling pattern analysis unit 115 is a hyper parameter of the algorithm for deriving the number of transactions, which is the output variable for the input variable. You can learn while changing.

Here, the priority may be determined based on frequently traded petroleum products, or the priority may be determined based on the total amount of petroleum products sold. This can be applied differently depending on the practice.

In addition, users who frequently visit a specific gas station may be selected as excellent customers and receive notifications provided by the specific gas station based on customer information. That is, a user registered at a specific gas station with the user's consent can receive a gas coupon or gift. In addition, the distance between the user and the specific gas station may be provided in real time from a specific gas station, and the drivable distance from the current location to the specific gas station may be calculated and provided. In addition, the user can check his or her fueling information by receiving the transaction details used at a specific gas station, for example, average gas volume, average transaction amount, type of petroleum product, transaction time, and the like.

On the other hand, the operator setting the degree of rise or fall of the sold oil price may be automatically performed by the price determination unit 120 based on pre-learned information. That is, the price determination unit 120 may learn in advance the details in which the operator determines the degree to which the oil price rises or falls. Accordingly, the price determination unit 120 analyzes the degree of rise or fall of the oil price selected by the operator and automatically performs it based on the information learned in advance, even if the operator does not set the degree of rise or fall of the sold oil price. can

In addition, in an embodiment of the present invention, not only one oil price determining factor to be used to derive an optimal oil price from among a plurality of oil price determining factors is used, but also a plurality of oil price determining factors may be used. That is, it is possible to achieve maximum sales by determining the optimal oil price using a plurality of oil price determining factors.

Specifically, it has been described above that, in an embodiment of the present invention, transaction history information, surrounding oil price information, fueling amount information, international oil price information, fueling pattern information, customer information, etc. are used as the plurality of oil price determining factors in an embodiment of the present invention. Each of these plurality of oil price determining factors calculates a state change index by an oil price determination algorithm.

Therefore, when the price determination unit 120 determines the final oil price, at least two or more state change indices are applied instead of one to determine the oil price. For example, the oil price determining factor may be used in combination of three such as transaction history information, fueling amount information, and fueling pattern information. That is, the transaction history analysis unit 111, the fuel flow analysis unit 113, and the fueling pattern analysis unit 115 each analyze the current oil price determining factors, and the three state change indices are equally applied by 1/3. . Accordingly, the price determination unit 120 may determine the oil price in consideration of the three state change indices, that is, the number of transactions according to the refueling time period, the fuel quantity according to the refueling time period, and the number of transactions according to the oil price range.

Here, the state change indices according to the plurality of oil price determining factors may be applied by giving different weights, rather than applying 1/3 equally to each other. For example, the plurality of oil price determining factors may include transaction history information, fueling amount information, surrounding oil price information, international oil price information, and fueling pattern information. At this time, 40% of transaction history information, 30% of fueling volume information, 20% of surrounding oil price information, 5% of international oil price information, and 5% of fueling pattern information are applied with different weights. Accordingly, when determining the oil price, the price determination unit 120 sets the number of transactions according to the fueling time by 40%, the fueling amount according to the fueling time by 30%, the surrounding oil price by 20%, the international oil price by 5%, and the number of transactions according to the oil price range when determining the oil price. 5% can be taken into account to determine the final oil price.

In addition, the plurality of oil price determining factors may be selected by the operator through the user terminal 30 . That is, the operator may select only one of the plurality of oil price determining factors, but may also select a plurality of factors. For example, a business operator may select transaction history information, surrounding oil price information, fuel quantity information, and the like as a desired oil price determining factor.

In addition, the operator may directly select a weight for the plurality of oil price determining factors. For example, you can choose to apply 40% to transaction history information, 30% to surrounding oil price information, and 20% to gas flow information. Accordingly, the oil price analysis unit 110 analyzes through an oil price determination algorithm by applying transaction history information, surrounding oil price information, fuel quantity information, etc., and the price determination unit 120 may determine the oil price using the analyzed result. .

On the other hand, in the oil price determination system 10, the final oil price can be determined by using fuel quantity information, transaction history information, and fueling pattern information as a plurality of oil price determining factors. can decide

Specifically, the fueling amount information is the fueling amount according to the refueling time period, the refueling pattern information is the change in the number of transactions according to the oil price range, and the transaction history information is the number of transactions according to the refueling time period. Therefore, the fueling rate analysis unit 113 learns to derive the fueling amount according to the refueling time as an output variable by using the refueling time period of the previous predetermined period as an input variable, and the refueling pattern analyzer 115 uses the oil price range as an input variable to determine the oil price. It learns to derive the number of transactions according to the range as an output variable, and the transaction history analysis unit 111 can learn to derive the number of transactions according to the fueling time as an output variable by using the refueling time as an input variable.

At this time, the price determination unit 120 composes a learning data set by combining the fueling amount information, transaction history information, and fueling pattern information, and determines the optimal oil price at what level the oil price is in a specific refueling time period. there is. In other words, the fueling amount is learned according to the fueling time, the number of transactions is learned according to the fueling time, and the number of transactions is learned according to the oil price range. It will also be possible to derive the amount of fuel according to the range of oil prices. Therefore, as the fueling amount according to the oil price range can also be derived, the training data set consists of fueling time, fueling amount corresponding to fueling time, oil price, and actual sales, and the oil price determination algorithm infers the relationship between the configurations of the above learning data set. can be learned in this way.

As a result, when the operator inputs a specific refueling time through the user terminal 30 , the price determination unit 120 may determine an optimum oil price for driving maximum sales in the specific refueling time by combining various information.

The above-described preferred embodiments of the present invention have been disclosed for the purpose of illustration, and those skilled in the art with common knowledge about the present invention will be able to make various modifications, changes and additions within the spirit and scope of the present invention, such modifications, changes and additions should be considered to fall within the scope of the claims of the present invention.

10: Oil price determination system
100: Oil price information acquisition unit
110: oil price analysis unit
111: transaction history analysis unit
112: surrounding oil price analysis unit
113: fuel flow analysis unit
114 : International Oil Price Analysis Department
115: fueling pattern analysis unit
116: customer information analysis unit
120: pricing unit
121: customer information management department
20: Oil price information providing server
30: user terminal

Claims (5)

In the oil price determination method,
inputting, by an oil price information acquisition unit, a reference oil price at the current time;
learning, by the oil price analysis unit, an oil price determination algorithm for calculating a state change index according to at least one oil price determining factor;
calculating, by the oil price analysis unit, a state change index of the current state by inputting the oil price determining factor of the current state into the learned oil price determining algorithm; and
determining, by a price determination unit, the final oil price by applying the calculated state change index to the reference oil price;
In the step of inputting the reference oil price at the current time, average oil price information at the current time is input, and the average oil price at the current time is applied as the reference oil price,
The oil price determining element includes at least one of transaction history information, fueling amount information, fueling pattern information, and customer information,
determining the final oil price by assigning a weight to at least two or more of the plurality of state change indices calculated according to the oil price determining factors by the oil price determination algorithm,
The transaction history information includes the number of users refueling for each time zone on a specific day,
The oil price determination algorithm is learned by analyzing the state change index according to the number of transactions for each time period for the previous predetermined period and the number of transactions for each time period for the previous predetermined period,
By calculating the number of users refueling for each time zone of the specific day using the learned oil price determination algorithm, when the number of users increases for each time zone of the specific day based on the number of users, the oil price is adjusted according to preset oil price increase/decrease information sequentially higher than the reference oil price, and sequentially lowering the oil price than the reference oil price according to preset oil price increase/decrease information when the number of users decreases,
Configure a learning data set for learning the oil price determination algorithm,
The learning data set is configured to include refueling time information, refueling amount information corresponding to the refueling time information, oil price information, and actual sales information,
The oil price determination algorithm is learned by inferring the relationship between the information, and by using the learned oil price determination algorithm, an optimal oil price that can drive maximum sales in response to input time information is derived,
How oil prices are determined.
According to claim 1,
The fueling amount information includes the amount of fuel refueled by users for each time zone of a specific day,
The oil price determination algorithm is learned by analyzing the state change index according to the fueling amount for each time period for the previous predetermined period and the fueling amount for each time period for the previous predetermined period,
By calculating the fueling amount for each time zone of the specific day using the learned oil price determination algorithm, when the fueling amount increases for each time zone of the specific day based on the fueling amount, the oil price is sequentially determined according to preset oil price increase/decrease information to increase above the oil price, and to sequentially decrease the oil price from the reference oil price according to preset oil price increase/decrease information when the fueling amount decreases,
How oil prices are determined.
According to claim 1,
The fueling pattern information includes a change in the number of transactions according to the price, and the change in the number of transactions according to the price includes the number of transactions in each of a plurality of preset oil price ranges,
The oil price determination algorithm is learned by analyzing the state change index by comparing the number of transactions traded in the first oil price range and the second oil price range,
By calculating the change in the number of transactions in the first oil price range and the second oil price range using the learned oil price determination algorithm, the oil price shown as the smallest change in the number of transactions among the changes in the number of transactions between the plurality of oil price ranges is finalized. to determine the price of oil,
How oil prices are determined.
According to claim 1,
The customer information includes at least one of a type of petroleum product paid by the user, an amount of the petroleum product, a payment time, a payment method, and a payment price,
The oil price determination algorithm is learned by analyzing the state change index according to the number of times users visited a specific gas station during a previous predetermined period based on the customer information,
Using the learned oil price determination algorithm to determine the final oil price according to the state change index according to the time period when the users visit the specific gas station,
How oil prices are determined.
In the oil price determination system,
Oil price information acquisition unit for receiving the reference oil price of the current time;
an oil price analysis unit for learning an oil price determination algorithm for calculating a state change index according to at least one oil price determining factor, and inputting the oil price determining factor of the current state into the learned oil price determining algorithm to calculate a state change index of the current state; and
A price determination unit for determining a final oil price by applying the calculated state change index to the reference oil price;
As the reference oil price at the current time, average oil price information at the current time is input, and the average oil price at the current time is applied as the reference oil price,
The oil price determining element includes at least one of transaction history information, fueling amount information, fueling pattern information, and customer information,
determining the final oil price by assigning a weight to at least two or more of the plurality of state change indices calculated according to the oil price determining factors by the oil price determination algorithm,
The transaction history information includes the number of users refueling for each time zone on a specific day,
The oil price determination algorithm is learned by analyzing the state change index according to the number of transactions for each time period for the previous predetermined period and the number of transactions for each time period for the previous predetermined period,
By calculating the number of users refueling for each time zone of the specific day using the learned oil price determination algorithm, when the number of users increases for each time zone of the specific day based on the number of users, the oil price is adjusted according to preset oil price increase/decrease information sequentially higher than the reference oil price, and sequentially lowering the oil price than the reference oil price according to preset oil price increase/decrease information when the number of users decreases,
Configure a learning data set for learning the oil price determination algorithm,
The learning data set is configured to include refueling time information, refueling amount information corresponding to the refueling time information, oil price information, and actual sales information,
The oil price determination algorithm is learned by inferring the relationship between the information, and by using the learned oil price determination algorithm, an optimal oil price that can drive maximum sales in response to input time information is derived,
Oil price determination system.

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