KR20220168311A - Method and server for providing information on the distribution of agricultural products - Google Patents

Abstract

Disclosed are an agricultural product distribution information providing method which can provide information beneficial to a producer, a wholesaler, and a consumer, and a server thereof. A method for providing agricultural product distribution information according to an embodiment of the present invention comprises: a step of collecting data on transaction amount and transaction volume for each transaction date for a specific agricultural product; a first calculation step of calculating the base price for each transaction date based on the collected transaction amount and transaction volume; a second calculation step of calculating a weighted moving average for the calculated reference price; a third calculation step of calculating a weighted moving average for the transaction amount; a fourth calculation step of calculating a weighted moving average for the trading volume; and a step of generating supply and demand status information using the weighted moving average of the calculated base price, the weighted moving average of the trading volume, and the weighted moving average of the trading price.

Description

Method and server for providing information on distribution of agricultural products {Method and server for providing information on the distribution of agricultural products}

The present invention relates to a method and server for providing distribution information of agricultural products, and more particularly, to a method and server for providing distribution information of agricultural products using a weighted moving average.

Looking at the current distribution structure of agricultural products, producers sell at the wholesale price determined by the auctioneer, and consumers purchase at the price determined by the auctioneer and intermediary wholesalers attaching a margin.

The biggest disadvantage in this distribution structure of agricultural products is that information according to distribution routes of agricultural products is not shared at all between producers, intermediary wholesalers, and consumers. Because of this, producers do not know at all how much profit the intermediate wholesalers make, and consumers must purchase agricultural products regardless of the intermediate margin.

When a consumer visits an offline store such as a market and purchases agricultural products, he or she can visit several stores and find the best price or purchase the best product. That is, since a high price is a problem directly related to sales volume, it is impossible to attach an absurdly large margin to a product only in one store when many stores are concentrated.

However, in recent years, due to the development of delivery systems, an increasing number of consumers are using online shopping for agricultural products that are subject to spoilage and damage. offer coupons.

When using online shopping, it is not easy to purchase products after directly comparing several online shopping malls. In addition, customers frequently purchase products recommended in a specific online shopping mall in order to use discount coupons.

In the case of the same product, it is a social norm that the same price should be set except for special cases such as islands and mountainous areas. . For example, after purchasing a product, consumer A recommends the product to an acquaintance residing in another region and purchases the product, and it has been discovered that the purchase price of consumer A and the acquaintance are different.

This problem can be seen as a problem caused by the fact that information occurring in the stages of the path from the producer's selling price to the consumer's purchase price is not transparently disclosed. Therefore, there is a need for a system capable of standardizing prices on distribution channels for agricultural products and sharing information.

Korean Patent Publication No. 10-2016-0076546 (published on July 1, 2016)

In order to solve the above problems, the technical problem to be achieved by the present invention is to use a weighted moving average specialized for agricultural products, to provide agricultural products distribution information in a form that can be easily grasped in the agricultural product distribution process, and a server is presenting

The problems of the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

As a means for solving the above-described technical problem, a method for providing distribution information of agricultural products according to an embodiment of the present invention includes the steps of collecting data on the transaction amount and transaction amount for each transaction date for a specific agricultural product, the collected transaction amount and transaction amount The first calculation step of calculating the base price for each trading date, the second calculation step of calculating the weighted moving average of the calculated base price, the third calculation step of calculating the weighted moving average of the transaction amount, the weighting of the trading volume A fourth calculation step of calculating a moving average, and generating supply and demand status information using the weighted moving average of the calculated reference price, the weighted moving average of the trading volume, and the weighted moving average of the trading price.

Preferably, in the first calculation step, the reference price is calculated by the following formula:

Here, Price _unit is the standard price, Price _trans is the trading price, and move _ra is the trading volume.

Also preferably, after the collecting step, a step of excluding data with a trading unit of 100 kg or more in one transaction may be further included.

Also preferably, after the first calculation step, the step of excluding the base price that exceeds the preset excessive standard amount among the calculated base prices, and the step of excluding the standard price that is less than the preset under standard amount among the calculated base prices can include more.

Also preferably, the over-standard amount is 61,800 won, and the under-standard amount may be 38 won.

Also preferably, in the second calculation step, the number of days on which actual transactions were made during the set calculation period is set as the maximum weight n, the maximum weight n is given to the latest date within the calculation period, and the corresponding date moves from the latest date to the past date. Dates can be weighted from n-1 to 1.

Also preferably, in the second calculation step, the weighted moving average for the reference price may be calculated by the following formula:

Here, WMA _price is the weighted moving average of the reference price, and Price _n ~ Price ₁ is the reference price by date of actual transaction.

Also preferably, after the second calculation step, the weighted moving average value of the generated reference price by trading date excludes the reference price exceeding the preset upper level from the entire reference price, and the weighted movement of the generated reference price by trading date The method may further include excluding a reference price having an average value of less than a predetermined lower level from all reference prices.

Also preferably, the upper level may be the upper 38%, and the lower level may be the lower 38%.

Also preferably, in the third calculation step, a weighted moving average of the trading price may be calculated by the following formula:

Here, WMA _cost is a weighted moving average value of the transaction amount, and Cost _n to Cost ₁ are the transaction amount by date of actual transaction.

Also preferably, in the fourth calculation step, a weighted moving average of the trading volume may be calculated by the following formula:

Here, WMA _amount is the weighted moving average of the trading volume, and Amount _n to Amount ₁ is the trading volume by date of actual trading.

Also preferably, the generating step is the step of determining each rating reference value using the weighted moving average value of each of the reference price, transaction volume, and transaction amount corresponding to a specific date for each year corresponding to the period for displaying the supply and demand status. Determining the graded range for each of the base price, trading volume, and trading value using the grade reference value, and determining the grade according to the location where the weighted moving average value of each of the reference price, trading volume, and trading price falls within the determined graded range can include

Also preferably, in the step of determining the rating reference value, the rating reference value for each of the reference price, transaction volume, and transaction amount can be calculated by the following formula:

Here, VA is the rating reference value, MAX is the highest value among the weighted moving average values, MIN is the lowest value among the weighted moving average values, and x is the number of ratings.

Also preferably, in the step of determining the range for each grade, after calculating the highest value within each grade by the following formula, the range from the calculated highest value within the grade to the highest value of the next level + 1 may be determined as the range for each grade. .

Here, LEVEL _max to LEVEL ₁ are the highest values within each grade, and x _max to x ₁ are each grade value from the highest grade to the lowest grade.

Also preferably, in the step of generating the supply and demand status information, the grade history in the form of a bar expressed in different colors according to the grade may be displayed, but a predetermined figure may be marked in a part corresponding to the grade determined on the grade history.

Also preferably, the generating step is a step of calculating the base price of high-priced products by accumulating the transaction amount and transaction volume of high-priced products whose real-time price exceeds the standard price based on the calculated standard price; Step of calculating the ratio of transaction volume of high-priced products, step of calculating base price of low-price products by accumulating transaction amount and transaction volume of low-price products whose real-time price is less than the standard price based on the calculated standard price, total transaction volume The step of calculating the ratio of the transaction volume of low-price products, the calculated ratio of the base price to the transaction volume of the high-price product, and the calculated ratio of the base price to the transaction volume of the low-price product may be included in supply and demand status information.

On the other hand, the server for providing distribution information of agricultural products according to another embodiment of the present invention includes a data collection unit that collects data on the transaction amount and transaction amount for each transaction date for a specific agricultural product, and the base price for each transaction date based on the collected transaction amount and transaction amount. , calculates a weighted moving average for the calculated base price, calculates a weighted moving average for the trading price, and calculates a weighted moving average for the trading volume, and a weighted moving average for the calculated base price , an information generating unit for generating supply and demand status information using a weighted moving average for trading volume and a weighted moving average for trading price.

According to the present invention, after collecting the transaction amount and transaction volume for agricultural products distributed through various routes nationwide, a new standard is created by a weighted moving average method suitable for agricultural products, based on this, supply and demand status information for agricultural products There is an effect of providing a method and server for providing distribution information of agricultural products provided to users.

As a result, it is possible to easily receive all information related to the distribution of agricultural products, to selectively identify appropriate information according to one's location, and to provide beneficial information to all producers, wholesalers, and consumers.

The effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a network configuration diagram of an agricultural product distribution information providing system according to a preferred embodiment of the present invention;
2 is a block diagram of an agricultural product distribution information providing server according to a preferred embodiment of the present invention;
3 is a diagram for explaining a method of calculating a base price for each transaction date according to a preferred embodiment of the present invention;
4a and 4b are views for explaining a rating method according to a preferred embodiment of the present invention;
5 is a diagram showing an example of supply and demand status information according to a preferred embodiment of the present invention;
6 is a diagram showing another example of supply and demand status information according to a preferred embodiment of the present invention, and
7 is a flowchart illustrating a method for providing distribution information of agricultural products according to a preferred embodiment of the present invention.

The above objects, other objects, features and advantages of the present invention will be easily understood through the following preferred embodiments in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. Rather, the embodiments introduced herein are provided so that the disclosed content will be thorough and complete and the spirit of the present invention will be sufficiently conveyed to those skilled in the art.

In this specification, when an element is referred to as being on another element, it means that it may be directly formed on the other element or a third element may be interposed therebetween. Also, in the drawings, the thickness of components is exaggerated for effective description of technical content.

In this specification, when terms such as first and second are used to describe components, these components should not be limited by these terms. These terms are only used to distinguish one component from another. Embodiments described and illustrated herein also include complementary embodiments thereof.

Also, when it is said that a first element (or component) operates or is executed on (ON) a second element (or component), the first element (or component) means that the second element (or component) It should be understood that it is operated or executed in an environment in which it is operated or executed, or operated or executed through direct or indirect interaction with the second element (or component).

Where an element, component, device, or system is referred to as including a component consisting of a program or software, even if not explicitly stated otherwise, that element, component, device, or system means that the program or software executes or operates. It should be understood that it includes hardware (eg, memory, CPU, etc.) or other programs or software (eg, operating system or driver required to drive hardware) required to do so.

In addition, it should be understood that, unless otherwise specified, the element (or component) may be implemented in any form of software, hardware, or both software and hardware.

In addition, terms used in this specification are for describing embodiments and are not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. The terms 'comprises' and/or 'comprising' used in the specification do not exclude the presence or addition of one or more other elements.

1 is a network configuration diagram of an agricultural product distribution information providing system according to a preferred embodiment of the present invention.

1, in the agricultural product distribution information providing system according to a preferred embodiment of the present invention, an agricultural product distribution information providing server 100 and a plurality of terminal devices 200, 300, 400, 500 are connected through the Internet to mutually It is possible to transmit and receive information.

The agricultural product distribution information providing server 100 is a server that collects various information on agricultural products, generates necessary data using the collected information, and finally provides supply and demand status information. The agricultural products distribution information providing server 100 will be described in more detail in FIG. 2 to be described later.

As shown, a plurality of terminal devices 200, 300, 400, and 500 are connected to the agricultural products distribution information providing server 100 through the Internet. Here, the plurality of terminal devices 200, 300, 400, and 500 are terminal devices used by people who want to know information about distribution of agricultural products, such as general consumers, wholesalers of agricultural products, retailers of agricultural products, and intermediate traders of agricultural products. In this embodiment, a mobile device is illustrated as a plurality of terminal devices 200, 300, 400, and 500, but other than mobile devices, devices such as desktops and laptops capable of using the Internet may also be applied.

2 is a block diagram of an agricultural product distribution information providing server according to a preferred embodiment of the present invention.

Referring to FIG. 2, the server 100 for providing distribution information of agricultural products according to a preferred embodiment of the present invention includes a network interface unit 110, a data collection unit 120, a calculation unit 130, and a rating determination unit 140. , an information generating unit 150, a storage unit 160, and a control unit 170.

The network interface unit 110 supports network communication of the agricultural products distribution information providing server 100, and the agricultural products distribution information providing server 100 communicates with a plurality of terminal devices 200, 300, 400, 500 through network communication allow information to be exchanged with each other.

The data collection unit 120 collects data on the transaction amount and transaction amount for each transaction date for a specific agricultural product.

The calculation unit 130 performs calculations necessary for the operation of the agricultural product distribution information providing server 100 according to a preset formula. For example, the calculator 130 calculates a weighted moving average for the reference price for each trading date, a weighted moving average for the reference price, a weighted moving average for the trading price, and a weighted moving average for the trading volume.

The calculation unit 130 calculates the reference price for each transaction date by Equation 1.

Here, Price _unit is the base price for each transaction date to be calculated by the calculation unit 130, Price _trans is the transaction amount collected by the data collection unit 120, and move _ra is the transaction amount collected by the data collection unit 120 .

In addition, the calculation unit 130 calculates a weighted moving average for each of the reference price, trading price, and trading volume. The formulas for calculating weighted moving averages are the same, but the applied variables vary depending on the calculation target.

When calculating the weighted moving average, the number of days on which actual transactions were made during the preset calculation period is set as the maximum weight n. n is the weight assigned to the date of the transaction, and the weight of n is assigned to the latest date within the calculation period, and the weight reduced by 1 from n-1 to 1 is assigned to the date moving from the latest date to the previous date. . For example, if it is assumed that the predetermined calculation period is from January 1 to January 7, 2000, and the actual transaction date is 7 out of 7 days, n is 7. Moving from January 7th to January 1st, weights of 7, 6, 5, 4, 3, 2, and 1 are assigned to the actual transaction date, respectively.

First, the calculation unit 130 calculates a weighted moving average for the reference price by Equation 2.

Here, WMA _price is the weighted moving average of the reference price, and Price _n to Price ₁ are the reference prices for each date of actual transaction.

Second, the calculation unit 130 calculates a weighted moving average for the transaction price by Equation 3.

Here, WMA _cost is a weighted moving average value of the transaction amount, and Cost _n to Cost ₁ are the transaction amount by date of actual transaction.

Thirdly, the calculation unit 130 calculates a weighted moving average for the trading volume by Equation 4.

Here, WMA _amount is the weighted moving average of the trading volume, and Amount _n to Amount ₁ is the trading volume by date of actual trading.

The calculation unit 130 calculates a reference price and a ratio for high-priced products and low-priced products. More specifically, the calculation unit 130 calculates the base price of the high-priced goods by accumulating the transaction amount and the trading volume of the high-priced goods formed by the real-time price exceeding the base price based on the previously calculated base price, and calculating the total trading volume Calculate the ratio of the transaction volume of medium and high-priced products. In addition, the calculation unit 130 calculates the base price of the low-cost product by accumulating the transaction amount and transaction volume of the low-cost product whose real-time price is less than the standard price based on the previously calculated base price, and calculates the base price of the low-cost product among the total transaction volume. Calculate the percentage of their trading volume.

The rating determination unit 140 determines each rating by using a weighted moving average value of each of the reference price, transaction volume, and transaction amount corresponding to a specific date for each year corresponding to the period for displaying the supply and demand status. First, the rating determination unit 140 determines each rating reference value using the weighted moving average value of each of the reference price, transaction volume, and transaction amount, and uses the rating reference value to determine the range by grade for each of the reference price, transaction volume, and transaction amount. is determined, and the grade is determined according to the position where each weighted moving average value belongs to the graded range.

The rating determination unit 140 calculates rating reference values for each of the reference price, transaction volume, and transaction amount by Equation 5.

Here, VA is the grade reference value of each of the base price, trading volume, and trading volume, MAX is the highest value among the weighted moving averages of each of the base price, trading volume, and trading volume, and MIN is the weighted movement of each of the base price, trading volume, and trading volume The lowest of the average values, x is the number of classes.

In addition, the rating determination unit 140 calculates the highest value in the rating for each preset rating for each of the reference price, transaction volume, and transaction amount by Equation 6, and then calculates the highest value in the next level from the calculated highest value in the rating. Up to +1 is determined as the range for each grade.

Here, LEVEL _max to LEVEL ₁ are the highest values within each grade, and x _max to x ₁ are each grade value from the highest grade to the lowest grade.

If the grade used by the grade determination unit 140 is 6 steps, each step may be marked as shown in Table 1.

Step 6 6/+3/top+ Step 5 5/+2/upper- Step 4 4/+1/of+ step 3 3/+1/of- Step 2 2/+2/lower+ Step 1 1/+3/ha-

The information generation unit 150 generates supply and demand status information using a weighted moving average for each of the reference price, transaction volume, and transaction price calculated by the calculation unit 130 . Here, the supply and demand status information is information provided so that all users who need knowledge about the distribution process of agricultural products can see it.

In addition, the information generator 150 includes the grade determined by the grade determiner 140 in supply and demand status information. At this time, the information generating unit 150 displays the grade history in the form of a bar expressed in different colors according to the grade on the supply and demand status information. By displaying the set figures, various users can intuitively grasp the level. In addition, the information generating unit 150 may further include the ratio of the base price and the trading volume of high-priced goods and the ratio of the base price and trading volume of low-priced goods to the supply and demand status information.

The storage unit 160 stores all information necessary for the operation of the agricultural product distribution information providing server 100. For example, equations used in the calculation process of the calculation unit 130 and the rating determination unit 140 may be stored in the storage unit 160 . In addition, the storage unit 160 may store all data and calculation results traded in real time in wholesale markets and fruit and vegetable markets nationwide.

The control unit 170 controls overall functions of the agricultural product distribution information providing server 100 . That is, the control unit 170 controls signal input/output between the network interface unit 110, the data collection unit 120, the calculation unit 130, the information generation unit 150, and the storage unit 160.

The control unit 170 performs a filtering operation on data collected by the data collection unit 120 . That is, the data filtered by the control unit 170 may be data that is determined to be an inappropriate transaction in generating supply and demand status information.

After the data is collected by the data collection unit 120, the control unit 170 excludes the corresponding data from the transaction when the transaction unit in one transaction is the super amount. In this embodiment, it is preferable to exclude data on transactions in which the transaction unit for one transaction is 100 kg or more. As a result, a transaction in which the transaction unit for one transaction is 100 kg or more is not included when the calculation unit 130 calculates the standard price for each transaction date.

In addition, after the calculation unit 130 calculates the base price for each transaction date, the control unit 170 determines that the base price exceeds the excessive standard amount or is below the minimum standard amount, the standard price corresponding to this standard excludes

Here, the over-standard amount and the under-standard amount are determined based on experimentally obtained data and set in advance. In this embodiment, the over-standard amount is 61,800 won, and the under-standard amount is 38 won. For all agricultural products, if the standard price exceeds 61,800 won, it is invalid as data, and if the standard price is less than 38 won, it is also invalid as data.

In addition, the control unit 170 calculates the weighted moving average for the reference price in the calculation unit 130, and then calculates a relatively high weighted moving average value and a relative to exclude low weighted moving averages. At this time, an upper level is set for a standard of a relatively high weighted moving average value, and a lower level is set for a standard of a relatively low weighted moving average value.

In this embodiment, the upper 38% may be set as the upper level, and the lower 38% may be set as the lower level. For example, if the weighted moving average of the reference price is found to be in the upper 1% to 37% range of the entire reference price, the weighted moving average of the current reference price is filtered. In addition, if the weighted moving average of the reference price is found to be in the range of the lower 1% to 37% of the entire reference price, the weighted moving average of the current reference price is filtered.

3 is a diagram for explaining a method of calculating a reference price for each transaction date according to a preferred embodiment of the present invention.

In this embodiment, a 7-day weighted moving average method is used. Here, the 7-day weighted moving average method is a method of calculating a weighted moving average based on 7-day transaction information. If the 7-day weighted moving average method is changed to use the 10-day transaction information, it can be referred to as the 10-day weighted moving average method.

The calculation unit 130 calculates the base price for each transaction date based on the transaction price and the transaction volume using Equation 1. As shown, the base price on April 6 is 1,220 won, the base price on April 5 is 1,250 won, the base price on April 3 is 1,220 won, and the base price on April 2 is 1,160 won. It was exemplified that the base price on the 31st was calculated as 1,170.

If today is April 6th, the 7-day weighted moving average is calculated using the reference price for a total of 7 days including April 6th. In this embodiment, the reference prices for 7 days from April 6 to March 31 in historical order are shown. Here, the base price is not indicated on April 4 and April 1, which correspond to the days when no agricultural products are traded.

In this embodiment, the actual transaction date is 5 days excluding 2 days out of 7 days. Accordingly, the maximum weight n becomes 5. Therefore, a weight of 5 is assigned on April 6, a weight of 4(5-1) is assigned on April 5, a weight of 3(5-2) is assigned on April 3, and a weight of 2 is assigned on April 2. (5-3) is assigned, and on March 31, 1 (5-4) is assigned.

When the reference price and weight for each date for 7 days from April 6 to March 31 are determined, the calculation unit 130 calculates a weighted moving average for the reference price corresponding to April 6 using Equation 2 yield Applying the data illustrated in this embodiment to Equation 2, it can be calculated as follows.

According to the above calculation result, the weighted moving average of the reference price corresponding to April 6 is 1,216 won. New reference prices are generated by the results obtained by repeating this calculation procedure by date, which can be used as raw data for technical analysis in the agricultural product distribution process.

In this embodiment, the reference price is numerically described as an example, but the same is applied to the trading volume and trading price, and a weighted moving average is calculated for each day. However, the weighted moving average for the trading price is calculated by Equation 3, and the weighted moving average for the trading volume is calculated by Equation 4.

As a result, Equation 2 is a weighted moving average calculation formula for the reference price, Equation 3 is a weighted moving average calculation formula for the trading price, and Equation 4 is a weighted moving average calculation formula for the trading volume. However, Equations 2, 3, and 4 are substantially the same formulas, and variables applied according to the reference price, transaction price, and transaction volume are different, so they are classified to help understanding.

4a and 4b are diagrams for explaining a rating method according to a preferred embodiment of the present invention.

In FIG. 4A, the weighted moving average of the reference price for each date is shown as an example to explain the method of determining the grade for each date in the grade determination unit 140. It is assumed that the calculation unit 130 calculates the base price for each date and then stores it for each date.

In order to determine the grade, the grade determination unit 140 determines each grade using the weighted moving average value of each of the reference price, transaction volume, and transaction amount corresponding to a specific date for each year corresponding to the period to display the supply and demand status. .

However, in this embodiment, an example of determining a grade for a reference price will be described. In addition, the period to display the supply and demand status is the past 9 years based on 2021, and the specific date for each year is April 6. In addition, it is assumed that it is classified into six grades.

First, the rating determination unit 140 determines the rating reference value by Equation 5. Calculation is performed by applying the data illustrated in the drawing to Equation 5 as follows.

According to the above calculation result, in this embodiment, the rating reference value for the reference price is 289. The grade determination unit 140 calculates the highest value for each grade by applying the calculation result to Equation 6, and determines a range from the calculated maximum value for each grade to the highest value of the next step + 1 as a range for each grade.

According to the above calculation result, the 6th grade is from 2213 to 1925, but since the 6th grade is the highest, the 6th grade is determined from the highest value to 1925. The fifth grade is determined from 1924 to 1636. Level 4 is determined from 1635 to 1347. Level 3 is determined from 1346 to 1057. Level 2 is determined from 1057 to 769. Level 1 is determined from 768 to the lowest value.

When the range for each grade is determined, the grade determination unit 140 determines the grade for each date according to the position to which the weighted moving average value of the reference price belongs among the six grades. For example, the weighted moving average for the base price on April 6, 2021 is 1188 won, so it falls within the range of 3 grades, so the base price on April 6, 2021 is rated "3/-1/mid-" is marked with

If the grade according to the weighted moving average of the reference price is determined for each date as shown in FIG. 4a according to the operation result of the grade determiner 140, a graph of the form illustrated in FIG. 4b can be obtained. Through the graph, users can more intuitively grasp the change in the standard price.

In this embodiment, a method for determining a grade using a weighted moving average value for reference prices for each date has been described. The rating determination unit 140 determines each rating by using the weighted moving average value for the transaction amount and the weighted moving average value for the transaction amount through the same procedure.

5 is a diagram showing an example of supply and demand status information according to a preferred embodiment of the present invention.

According to the sequential operation results of the data collection unit 120, the calculation unit 130, the rating determination unit 140, and the information generation unit 150, information such as an example of the supply and demand status information illustrated in the drawing can be provided. can

In this embodiment, supply and demand status information for "onion" among various agricultural products is displayed, and various information can be displayed by partitioning a screen for displaying supply and demand status information. In each partitioned area, price information 10 by main production area, price information 20 by type, price information 30 by wholesale market, and past price trend information 40 are displayed.

Looking at the price information 10 for each main producing area as a standard, the standard price of the corresponding agricultural product is displayed, and the price of the same agricultural product is displayed for each region. Each rating history is displayed in the area where the price for each region is displayed. A is the rating history for the trading volume, B is the rating history for the reference price, and C is the rating history for the transaction amount.

The rating history shows the history of the transaction of the corresponding agricultural product in the form of a bar, and according to the rating determined by the rating determining unit 140, a predetermined figure is displayed at the corresponding stage of the rating history. In this embodiment, a star-shaped figure is marked.

In the price information 20 for each type and the price information 30 for each wholesale market, the trading volume, standard price, and rating history for the trading price are displayed on the left and right sides of the corresponding area, respectively. Through this, the user can easily grasp the transaction amount of the agricultural product through various routes together with the transaction history of the corresponding agricultural product.

In addition, in the price information by main production area (10), price information by type (20), and price information by wholesale market (30), the base price and transaction volume of high-priced products are displayed at the bottom of the transaction price formed by each production area, variety, and market. Ratio information (D) and ratio information (E) of the base price and trading volume of low-priced products are displayed.

As a result, the user has a rating history for trading volume (A), a rating history for base price (B), a rating history for trading amount (C), information on the ratio between the base price and trading volume of high-priced products (D), and low price. The market price of the corresponding agricultural product can be identified by comparing the ratio information (E) of the standard price and transaction volume of commodities with the currently formed transaction price.

6 is a diagram showing another example of supply and demand status information according to a preferred embodiment of the present invention.

The information generation unit 150 generates various types of supply and demand status information using the data collected by the data collection unit 120 and the information generated by the calculation unit 130 and the rating determination unit 140 so that the user can be provided to

As one of these examples, information as in the present embodiment may be displayed. As shown, information called "status of the last week (status of 8 years)" can be generated, and includes the transaction amount, grade, standard price, and transaction amount for various crops.

In FIG. 5, if information on various routes for one crop, for example, onion, is provided, in this embodiment, information on several crops is provided in a tabular form.

7 is a flowchart illustrating a method for providing distribution information of agricultural products according to a preferred embodiment of the present invention.

In this embodiment, a method for providing distribution information of agricultural products according to a preferred embodiment of the present invention will be described with reference to FIGS. 1 to 7 .

The agricultural product distribution information providing server 100 can communicate with a plurality of terminal devices 200, 300, 400, and 500 through the network interface unit 110. Through this, the data collection unit 120 collects data on the transaction amount and transaction amount for each transaction date for agricultural products through various routes (S601). Data collected by the data collection unit 120 may be stored in the storage unit 160 .

Among the data collected by the data collection unit 120, the control unit 170 filters the transaction not to be applied to the calculation of the base price for transactions in which the transaction unit for one transaction is 100 Kg or more (S603-N, S607)

Data not filtered out by the controller 170 are applied to the calculation of the standard price by the calculator 130 . The calculation unit 130 calculates the reference price by Equation 1 (S605).

The calculation unit 130 calculates the standard price for each transaction date, and the control unit 170 compares the calculated standard price with a preset excessive standard amount (S609). In step S609, if the reference price exceeds the excessive reference amount, the transaction is filtered (S609-N, S611).

Further, in step S609, if the standard price is equal to or less than the excessive standard amount (S609-Y), the standard price and the under standard amount are compared (S613). In step S613, if the reference price is less than the minimum threshold (S613-N), the transaction is filtered (S615).

In step S613, if the reference price exceeds the minimum threshold (S613-Y), the calculation unit 130 calculates a weighted moving average for each of the reference price, trading price, and trading volume (S617).

In addition, the information generation unit 150 utilizes the data collected by the data collection unit 120 and the information generated by the calculation unit 130 and the rating determination unit 140 to generate various types of supply and demand status information. (S619).

Through this process, the producer can directly present the shipping price and can directly select a wholesale corporation to deal with the agricultural products produced by the producer. In addition, in wholesale corporations, it is easy to present prices in real time, and it is easy to perform statistical analysis of the amount of storage and shipment. In addition, from the consumer's point of view, since information on various distribution channels can be grasped for one agricultural product, it is possible to purchase agricultural products at a desired price and select agricultural products with excellent quality.

Those skilled in the art to which the present invention pertains will understand that the present invention may be embodied in other specific forms without changing its technical spirit or essential features. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. The scope of the present invention is indicated by the following claims rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts should be construed as being included in the scope of the present invention. do.

100: Agricultural distribution information providing server 110: Network interface unit
120: data collection unit 130: calculation unit
140: rating determining unit 150: information generating unit
160: storage unit 170: control unit

Claims (17)

Collecting data on transaction amount and transaction volume for each transaction date for a specific agricultural product;
a first calculation step of calculating the base price for each transaction date based on the collected transaction amount and transaction amount;
a second calculation step of calculating a weighted moving average of the calculated reference price;
a third calculation step of calculating a weighted moving average of the transaction price;
a fourth calculation step of calculating a weighted moving average of the trading volume; and
Generating supply and demand status information using the weighted moving average of the calculated base price, the weighted moving average of the transaction volume, and the weighted moving average of the transaction price; Provide agricultural product distribution information comprising a method. According to claim 1,
In the first calculation step, the agricultural product distribution information providing method, characterized in that for calculating the reference price by the following formula:

Here, Price _unit is the base price, Price _trans is the trading price, and move _ra is the trading volume. According to claim 1,
A method for providing distribution information of agricultural products, characterized in that it further comprises: after the collecting step, excluding data in which the transaction unit for one transaction is 100 kg or more. According to claim 1,
After the first calculation step, excluding a reference price exceeding a predetermined excessive reference price from among the calculated reference prices; and
Agricultural products distribution information providing method further comprising the step of excluding the base price that is less than or equal to the predetermined declining standard among the calculated base prices. According to claim 4,
The method for providing distribution information of agricultural products, characterized in that the over-standard amount is 61,800 won and the under-standard amount is 38 won. According to claim 1,
In the second calculation step,
The maximum weight n is set as the number of days on which actual transactions were made during the preset calculation period, the maximum weight n is given to the latest date within the calculation period, and the most recent date moves from the latest date to the past date, starting from n-1 on that date. A method of providing distribution information of agricultural products, characterized in that for assigning weights up to 1. According to claim 6,
In the second calculation step, a method for providing distribution information of agricultural products, characterized in that for calculating a weighted moving average for the reference price by the following formula:

Here, WMA _price is a weighted moving average of the reference prices, and Price _n to Price ₁ are reference prices for each date of actual transaction. According to claim 7,
After the second calculation step, excluding a reference price in which a weighted moving average value of the generated reference prices for each transaction date exceeds a predetermined upper level from all reference prices; and
A method for providing distribution information of agricultural products further comprising the step of excluding reference prices at which the weighted moving average value of the generated reference prices for each transaction date is less than a predetermined lower level from the total reference prices. According to claim 8,
The method of providing agricultural product distribution information, characterized in that the upper level is the upper 38%, and the lower level is the lower 38%. According to claim 6,
In the third calculation step, a method for providing distribution information of agricultural products, characterized in that for calculating a weighted moving average for the transaction price by the following formula:

Here, WMA _cost is a weighted moving average value of the trading price, and Cost _n to Cost ₁ are trading prices for each date of actual trading. According to claim 6,
In the fourth calculation step, a method for providing distribution information of agricultural products, characterized in that for calculating a weighted moving average for the trading volume by the following formula:

Here, WMA _amount is a weighted moving average of the trading volume, and the Amount _n to Amount ₁ is the trading volume by date of actual trading. According to claim 1,
The generating step is
Determining each grade reference value using the weighted moving average value of each of the reference price, the transaction volume, and the transaction amount corresponding to a specific date for each year corresponding to the period for displaying the supply and demand status;
determining a range for each grade for each of the reference price, the transaction amount, and the transaction price using the determined grade reference value; and
A method for providing distribution information of agricultural products comprising determining a grade according to a position where the weighted moving average value of each of the reference price, the transaction amount, and the transaction amount falls within the determined range for each grade. According to claim 12,
In the step of determining the rating reference value, the agricultural product distribution information providing method, characterized in that calculating the rating reference value for each of the reference price, the transaction amount, and the transaction price by the following formula:

Here, VA is the rating reference value, MAX is the highest value among the weighted moving average values, MIN is the lowest value among the weighted moving average values, and x is the number of ratings. According to claim 13,
In the step of determining the range for each grade, after calculating the highest value within the grade for each grade by the following formula, the range from the calculated highest value within the grade to the highest value of the next step + 1 is determined as the range for each grade. How to provide agricultural product distribution information.

Here, LEVEL _max to LEVEL ₁ are the highest values within each grade, and x _max to x ₁ are each grade value from the highest grade to the lowest grade. 15. The method of claim 14,
The step of generating the supply and demand status information is to display the grade history in the form of a bar expressed in different colors according to the grade, but to mark a predetermined figure in the part corresponding to the determined grade on the grade history. How to provide distribution information. According to claim 1,
The generating step is
Calculating a standard price of high-priced products by accumulating transaction prices and trading volumes of high-priced products, the real-time price of which exceeds the standard price, based on the calculated standard price;
Calculating a ratio of the transaction volume of the high-priced products to the total transaction volume;
Calculating a base price of low-priced goods by accumulating transaction prices and trading volumes of low-priced goods whose real-time price is less than the base price based on the calculated base price;
Calculating a ratio of the transaction volume of the low-priced products to the total transaction volume; and
A method for providing distribution information of agricultural products, characterized in that the ratio of the calculated base price and transaction volume of the high-priced product and the calculated ratio of the base price and transaction volume of the low-priced product are included in the supply and demand status information. A data collection unit for collecting data on transaction amount and transaction amount for each transaction date for a specific agricultural product;
Based on the collected trading amount and trading volume, a base price for each trading date is calculated, a weighted moving average for the calculated base price is calculated, a weighted moving average for the trading amount is calculated, and a weighted moving average for the trading volume a calculating unit that calculates an average; and
Agricultural distribution characterized in that it comprises a; information generation unit for generating supply and demand status information using the weighted moving average of the calculated reference price, the weighted moving average of the transaction volume, and the weighted moving average of the transaction price informational server.

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