KR102568799B1 - Server, method and computer-readable storage medium for determining differential reward of carbon reduction based on driving information - Google Patents

Abstract

The server according to an embodiment may include an operation of obtaining movement information from a user; determining driving information of the user based on the movement information; determining an amount of carbon savings saved by the user based on the movement information; and differentially determining compensation for the determined amount of carbon savings according to the determined driving information.

Description

Differential compensation calculation server, method, and computer readable storage medium for carbon savings based on driving information

Embodiments of this document relate to a server, a method, and a computer readable recording medium for differentially determining compensation for carbon savings based on user driving information.

Currently, the world is implementing a gradual reduction of carbon emissions, one of the main causes of global warming, through the Kyoto Protocol. Under the Kyoto Protocol, the obligatory bureau or company sets a limit on carbon emissions for each period, and is obliged to trade carbon credits for excess emissions.

Here, carbon credits are a concept that encompasses quotas and credits. Allocation refers to carbon emission rights paid to major carbon emission sources such as power generation facilities or production facilities, equal to the total amount of carbon emission set by the country or region. Credit refers to the emission rights paid to the project as a certificate that carbon emissions have been reduced compared to the standard forecast for the carbon reduction project. According to the protocol, an obligatory country or a company can receive a new allocation of carbon credits in recognition of the reduction performance generated by investing in a carbon emission reduction project.

Accordingly, in order to reduce carbon emissions, the obligatory bureau or companies are encouraging the use of bicycles by designing various infrastructures such as expansion of bicycle roads, cycle roads and express bicycle roads, etc., and carbon emission by giving incentives according to bicycle use. Efforts are underway to reduce

In addition, as an individual's effort to reduce carbon emissions, there is a plan to replace the existing carbon emission transportation means by using a transportation device with no or low carbon emissions, such as walking, bicycles, and quickboards. On the other hand, the purpose of using such a mobile device may be used not only for the purpose of movement itself such as commuting, but also for purposes such as exercise or leisure. As such, it is currently being discussed whether the act of using a mobile device for the purpose of exercise or leisure will be recognized as an act of reducing carbon emissions.

Therefore, in order to set objective and fair compensation for individuals involved in carbon emission reduction, we must clearly identify whether the user's act of using a mobile device was directly involved in reducing carbon emissions, and the user's driving purpose, Skills in setting rewards appropriately are required.

Korean Patent Registration No. 10-0966162: Method and system for providing carbon credit mileage to bicycle users

The problem to be solved by the embodiments of this document is to engage in carbon emission reduction by using a mobility device that replaces the means of transportation that generates carbon emissions, in order to stably operate the carbon emission cap system and encourage many people to reduce carbon emissions. It is to provide a subject with the technology to set objective and fair compensation. To this end, it is intended to provide a technology that differentiates compensation for the user's carbon savings according to the user's driving information (eg, the type of moving device or the user's driving purpose).

However, the problems to be solved by the present invention are not limited to those mentioned above, but include objects that are not mentioned but can be clearly understood by those skilled in the art from the description below. can do.

A server according to an embodiment includes one or more memories for storing commands to perform predetermined operations; and one or more processors operatively connected to the one or more memories and configured to execute the instructions, wherein the processors may: obtain movement information from a user; determining driving information of the user based on the movement information; determining an amount of carbon savings saved by the user based on the movement information; and differentially determining compensation for the determined amount of carbon savings according to the determined driving information.

The obtaining of movement information from the user may include obtaining first movement information that is past movement information of the user; and obtaining second movement information that is current movement information of the user, wherein the operation of determining the driving information of the user compares the first movement information with the second movement information to compare the current driving information of the user. An operation of determining information may be included.

In addition, the first movement information includes information on first driving information, a first movement route, and a first movement time obtained from the user, and the second movement information includes a second movement route and information obtained from the user. The operation of including information on the second movement time and determining the driving information of the user has the highest similarity to the second movement path and the second movement time included in the second movement information among the first movement information. An operation of determining first driving information included in 1 movement information as driving information of the second movement information may be included.

The determining of the driving information of the user may include first filtering first movement information including a first movement path having a similarity with the second movement path of a preset ratio or higher among the first movement information; performing a second filtering on first movement information including a first movement time having a similarity with the second movement time equal to or greater than a predetermined ratio among the first filtered first movement information; and determining driving information included in a highest ratio among driving information included in the second filtered first movement information as driving information of the second movement information.

In addition, the first movement information includes information on first driving information, a first movement route, and a first movement time obtained from the user, and the second movement information includes a second movement route and information obtained from the user. The operation of including information on the second movement time and determining the driving information of the user is based on the information on the first movement path and the first movement time using the first movement information obtained from one or more users. generating a neural network trained to determine first driving information; and determining driving information of the user from the second movement information based on the neural network.

In addition, the second movement information further includes second driving information input by the user, and the operation of determining the driving information of the user is the driving determined based on the second driving information input by the user and the neural network. An operation of comparing information may be included.

In addition, the movement information may include a movement distance, and the operation of determining the amount of carbon reduction may include an operation of determining the amount of carbon reduction by applying the movement distance to a carbon emission coefficient per travel distance of a means of transportation replaced by the user. can

In addition, the operation of determining the carbon reduction amount includes determining the carbon emission factor based on a basic carbon emission factor based on the oil type of the transportation means, a net calorific value for each oil type, and fuel efficiency according to the oil type of the transportation means. can do.

In addition, the operation of determining the carbon reduction amount may include an operation of determining the carbon emission coefficient by additionally considering a weight according to the population using the transportation means when a plurality of populations use the alternative means of transportation. .

In addition, the operation of determining the amount of carbon reduction involves presetting a distance section for each transportation means within a predetermined range, and selecting the transportation means replaced by the user with a transportation means mapped to a distance section to which the travel distance belongs among the preset distance sections. It may include an operation to determine.

In addition, the operation of setting the compensation may include an operation of providing compensation by varying a compensation ratio according to the determined driving information to the determined carbon reduction amount.

In addition, the driving information includes information on the type of transportation device used by the user, and the operation of determining the compensation provides compensation by subtracting carbon emissions generated by the type of the transportation device from the determined carbon reduction amount. action may be included.

In addition, the driving information further includes information on the purpose of the user using the mobile device, and the operation of setting the compensation is performed after subtracting the carbon emission amount generated by the type of the mobile device from the determined carbon reduction amount. , It may include an operation of providing compensation by changing a compensation ratio based on the driving purpose.

In addition, when the type of the mobile device is a public bicycle, the carbon emission amount may be set based on carbon emissions generated from a vehicle used for rearrangement of the public bicycle or carbon consumption consumed in operating the public bicycle.

An operation method performed by a server according to an embodiment, comprising: acquiring movement information from a user; determining driving information of the user based on the movement information; determining an amount of carbon savings saved by the user based on the movement information; and differentially determining compensation for the determined amount of carbon savings according to the determined driving information.

It may include a computer readable recording medium on which a computer program including instructions for causing a processor to perform a method according to an embodiment is recorded.

According to an embodiment of the present document, driving information such as a type of a moving mechanism used by the user or a driving purpose may be identified by comparing the user's past movement information with the user's current movement information. Accordingly, the embodiment of the present document may differentially provide compensation for carbon savings according to the determined driving information.

As such, the embodiment of this document considers that the user uses the mobile device not only for the purpose of movement itself, but also for the purpose of exercise and leisure, for the purpose of using the mobile device. Compensation can be differentiated by identifying the degree of involvement in reducing carbon emissions.

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

1 is a block diagram of a differential compensation setting system for carbon savings based on driving information according to an embodiment.
2 is a functional block diagram of a server according to one embodiment.
3 is a flowchart of an operation performed by a server according to an embodiment.
4 is an exemplary diagram for explaining first movement information according to an exemplary embodiment.

Hereinafter, various embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that this is not intended to limit the present invention to the specific embodiments, but to cover various modifications, equivalents, and/or alternatives of the embodiments of the present invention.

1 is a block diagram of a system 10 (hereinafter, referred to as system 10) for calculating differential compensation for carbon savings based on driving information according to an embodiment. Referring to FIG. 1 , a system 10 according to an embodiment may include a server 100 and a user terminal 200 .

The server 100 is a server 100 operated by a subject operating a service provided through the system 10 . The server 100 may provide a service of determining a user's carbon reduction amount based on the user's movement information and determining a compensation for the carbon reduction amount saved by the user. For example, the server 100 acquires movement information in which the user has moved using a mobile device, determines the amount of carbon savings saved by the user by replacing the carbon emission means of transportation, and then obtains the user's driving information (ex. movement). It is possible to provide a service that determines differential compensation according to the type of equipment, purpose of driving, etc.).

The user terminal 200 may include a terminal used by a user of a service provided by the server 100 or a terminal attached to a mobile device used by the user. The user terminal 200 may provide the server 100 with movement information on which the user has moved using a mobile device, and may obtain information about compensation for the amount of carbon savings saved by the user from the server 100. . For example, the user terminal 200 may generate movement information, such as a distance traveled by the user using a movement mechanism, by using STRAVA API or the like.

The mobile device in this document may include a vehicle that does not emit carbon by replacing carbon-emitting means of transportation (ex. car, subway, bus, taxi, train, etc.) or that emits less carbon than a preset value. there is. For example, the moving device may include a bicycle, an electric bicycle, an electric scooter, an electric quick board, a Segway, an electric wheelchair, a UAM, and the like. However, the types of moving devices to which the embodiments of the present invention can be applied are not limited to the above-described examples, and can be applied to various moving devices that can be used to help people move and exercise, deliver goods, or move by themselves.

The embodiments of this document are objective for entities involved in carbon emission reduction by using mobility devices to replace carbon emission-generating means of transportation, in order to stably operate the carbon emission cap system and encourage carbon emission reduction for many people. and to provide techniques for determining fair compensation. To this end, the server 100 determines the user's 'driving information' (ex. the type of moving device or the purpose of driving) and the amount of carbon reduction, and differentiates compensation for the amount of carbon reduction according to the user's 'driving information'. We want to provide you with the technology to

The server 100 and the user terminal 200 according to an embodiment of the present invention may be implemented as various types of devices capable of transmitting and receiving information over a network. For example, the server 100 and the user terminal 200 may include a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a laptop computer, a tablet PC, and the like.

Meanwhile, when the user terminal 200 performs the operation described in the claims of this document, the server 100 according to the embodiment of this document may include the user terminal 200 . That is, when the user terminal 200 performs the operation described in the claims of this document, the user terminal 200 can be regarded as the server 100 performing the embodiment of this document.

Hereinafter, a configuration of the server 100 according to an exemplary embodiment will be described with reference to FIG. 2 , and an operation performed by the server 100 will be described with reference to FIGS. 3 and 4 .

2 is a functional block diagram of a server 100 according to one embodiment.

Referring to FIG. 2 , a server 100 according to an embodiment may include a memory 110 , a processor 120 , an input/output interface 130 and a communication interface 140 .

The memory 110 may store data acquired from an external device (eg, the user terminal 200, etc.) or data generated by itself. The memory 110 may store instructions capable of causing the processor 120 to operate. For example, the memory 110 may store various data (ex. user information, movement information, driving information, etc.) required to perform an operation according to an embodiment to be described later.

The processor 120 may control overall operations of the server 100 . The processor 120 may execute instructions stored in the memory 110 . An operation of the server 100 according to an embodiment of this document may be understood as an operation performed by the processor 120 .

The input/output interface 130 may include a hardware interface or a software interface that allows a manager controlling the server 100 to input specific information or outputs specific information to the manager.

The communication interface 140 enables the server 100 to transmit/receive information with an external device (eg, the user terminal 200, etc.) through a communication network. To this end, the communication interface 140 may include a wireless communication module or a wired communication module.

The server 100 may be implemented in various types of devices capable of performing calculations through the processor 120 and transmitting and receiving information through a network. For example, it may include a portable communication device, a smart phone, a computer device, a portable multimedia device, a laptop computer, a tablet PC, and the like.

3 is a flowchart of an operation performed by the server 100 according to an embodiment. An operation of the server 100 according to the embodiment of FIG. 3 may be understood as an operation performed by the processor 120 .

In step S1010, the server 100 may obtain movement information from the user. For example, the movement information includes information about the user, the route the user traveled using the moving device, the date and time of using the moving device, the travel time required for movement using the moving device, and the time the user moved using the moving device. Distance traveled, past driving information of the user (ex. type of transportation device used, purpose of driving, etc.), current driving information entered by the user (ex. type of transportation device used, purpose of driving, etc.), amount spent using the transportation device You can include information on the amount of money, the means of transportation substituted by using the mobility device, and the amount saved by replacing the means of transportation.

For example, the movement information may include first movement information, which is the user's 'past' movement information, and second movement information, which is the user's 'current' movement information. In the description of this document, 'past' may include a point in time when reference data for determining user driving information was created. In the description of this document, 'current' may include not only a real-time point of time, but also a point in time when data to be determined for determining the user's driving information is generated.

Hereinafter, in the description of this document, past information serving as a reference for determining user's driving information is referred to as 'first', and current information serving as a target for determining user's driving information is referred to as 'second'. We will refer to it with a modifier.

4 is an exemplary diagram for explaining first movement information according to an exemplary embodiment. Referring to FIG. 4 , the server 100 may obtain and store first movement information, which is data generated while one or more users usually use a mobile device. For example, the first movement information may include information on first driving information, a first movement route, and a first movement time.

In one embodiment, the second movement information acquired by the server 100 is second driving information directly input by the user ('second driving information' is information directly input by the user at the current time, and whether it is true or false is not determined). information) may be included. In this case, the server 100 may determine whether the second driving information input by the user is true or false through an embodiment of step S1020 to be described later, and if it is false, do not reflect the corresponding data or ask the user to input again. Alternatively, the operator of the server 100 may manually check whether the second driving information is correct.

In one embodiment, the second movement information acquired by the server 100 is second driving information directly input by the user ('second driving information' is information directly input by the user at the current time, and whether it is true or false is not determined). information) may not be included. In this case, the server 100 may directly determine the driving information of the user through an embodiment of step S1020 to be described later.

In step S1020, the server 100 may determine driving information of the user based on the movement information. For example, the server 100 may determine driving information of the user by comparing first movement information and second movement information.

In this document, 'driving information' without a 'first' or 'second' modifier means information directly determined by the server 100, not information obtained from the outside. In this document, 'first driving information' is information included in the first movement information, and 'second driving information' is information included in the second movement information and refers to information obtained from the outside.

'Driving information' in this document may include various information that may affect the determination of the amount of carbon savings saved by a user using a mobile device. For example, if a user uses a public bicycle as a substitute for carbon-emitting transportation, carbon emissions are reduced compared to carbon-emitting transportation, but carbon is also generated in the operation of public bicycles (ex. collection of public bicycles). This impact must be taken into account because of the indirect carbon emissions by vehicles for In addition, when a user uses a mobile device not only for the purpose of movement itself, such as commuting, but also for the purpose of exercise or leisure, the standard for whether the purpose of driving such as exercise or leisure should be regarded as an act of reducing carbon emissions is a national standard. may be applied differently. Therefore, this document presents a technology for determining 'driving information' that can affect the judgment of the amount of carbon savings saved by a user using a mobile device. In this way, the driving information in this document is exemplified as determining the type of mobile device used by the user or the purpose of driving for which the user has traveled using the mobile device, but the embodiment of this document provides not only the exemplified information, but also the determination of the amount of carbon savings. may contain various information that may affect

For example, the first movement information includes information on first driving information, a first movement route, and a first movement time obtained from a user, and the second movement information includes a second movement route and second movement information obtained from a user. Information about time may be included. In this case, the server 100 transmits the first travel information included in the first travel information that has the highest similarity to the second travel route and second travel time included in the second travel information among one or more pieces of first travel information. It can be determined by the driving information of the movement information. For example, the server 100 first filters first movement information including a first movement path having a similarity with a second movement path of the first movement information at a predetermined ratio or higher, and first filters the first movement information that has been filtered out. Among the driving information included in the second filtered first movement information, the driving included in the highest ratio is performed by performing a second filtering on the first travel information including the first travel time having a similarity with the second travel time of at least a preset ratio. The information may be determined as driving information of the second movement information.

For example, the first movement information includes information on first travel information, a first travel route, and a first travel time obtained from the user, and the second travel information includes a second travel route and second travel information obtained from the user. It may include information about travel time. In this case, the server 100 generates a neural network trained to determine first driving information based on information about a first movement path and a first movement time using first movement information acquired from one or more users, and , an operation of determining user driving information from the second movement information based on the generated neural network may be performed. For example, when the second movement information further includes second driving information input by the user, the server 100 compares the second driving information input by the user with driving information determined based on the neural network, It is possible to determine whether the second driving information input by the user is true or false. If the second driving information and the driving information of the neural network are different from each other, it is determined to be false and the server 100 does not reflect the second driving information, requests the user to re-input, or the server 100 operator does not reflect the second driving information. You can manually check whether the information is correct or whether the output information of the neural network is correct.

In step S1030, the server 100 may determine the amount of carbon savings saved by the user based on the movement information.

For example, the server 100 determines the amount of carbon savings by applying the second movement distance included in the user's second movement information to the carbon emission coefficient per movement distance of the means of transportation replaced by the user based on the second movement information. can The server 100 may calculate and store the carbon emission factor per moving distance of the means of transportation as shown in Equation 1 below.

[Equation 1]

( : Carbon emission factor per travel distance of transportation mode A (kgCO _2eq /km), : Basic emission factor (kgCO _2eq /TJ) according to the oil type of transportation mode A, : Net calorific value per liter per oil type (MJ/l), : Fuel economy by fuel type when driving transportation mode A (km/l), : Weight according to the population using each means of transportation) - An example of is shown in Table 1 below.

Oil type Emission Factors by Oil Type gasoline 0.15871 (kgCO _2eq /km) via 0.19701 (kgCO _2eq /km) LPG 0.00198 (kgCO _2eq /km)

here, (Weight according to population using transportation means) is a weight for calculating the amount of savings considering the case where there are multiple population using transportation means. For example, if the average population using one subway at the same time is 100, may be applied as 1 (number of users)/100 (average number of subway users) = 0.01. For example, the server 100 may calculate the carbon reduction amount as shown in Equation 2 below by applying the second moving distance of the user to the carbon emission factor.

[Equation 2]

( : Carbon reduction (kgCO _2eq ), : Travel distance (km) traveled by the user by substituting transportation mode A, : Carbon emission factor per travel distance of transportation mode A (kgCO _2eq /km))

For example, the server 100 may determine the means of transportation A replaced by the user based on the second movement information as follows. The server 100 may previously store a distance section for each transportation means within a predetermined range. The server 100 may determine that the second movement distance traveled through the mobile device is 5 km or more and less than 10 km as a substitute for a subway, and 10 km or more as a substitute for a car. The server 100 may determine the transportation means A replaced by the user as a means of transportation mapped to the distance section to which the second travel distance belongs among preset distance sections.

For example, if the second movement distance of the user through the mobile device corresponds to 7 km, it is determined that the movement of 7 km through the subway is replaced by a specific mobile device, and the "carbon emission factor when moving 1 km by subway x 7 km" is calculated. Carbon savings can be determined. For example, if the distance traveled by the user by means of a vehicle is 12 km, it is determined that the movement of 12 km by car is replaced by a specific device, and the “carbon emission factor when moving 1 km by car x 12 km” is calculated to reduce carbon emissions. savings can be determined.

In step S1040, the server 100 may differentially determine compensation for the determined amount of carbon savings according to the determined driving information.

For example, the server 100 may pre-store a ratio to be applied to compensation according to each driving purpose. The server 100 may determine compensation by applying a ratio mapped to the determined driving purpose to the determined carbon reduction amount. For example, if the driving information to be determined is the driving purpose, the driving purpose is going to work (ex. 100%), leaving work (ex. 100%), occasional travel purpose (ex. 90%), and leisure purpose (ex. 80%). ), exercise purpose (ex. 100%). At this time, when the determined driving purpose is leisure and the determined carbon reduction amount is 100 kgCO _2eq , in step S1040, the server 100 calculates the carbon reduction amount as 90% x 100 kgCO _2eq = 90 kgCO _2eq and sets a corresponding compensation. can do.

For example, the server 100 may pre-store carbon emissions generated by using or operating the corresponding mobile device for each mobile device. For example, if the mobile device is a public bicycle, the server 100 may calculate and store the carbon emission of the public bicycle as shown in Equation 3 below, or store a constant of carbon emission for each mobile device in Equation 4. .

[Equation 3]

( ^: Carbon emissions from vehicles when one public bicycle is collected in year y (kgCO _2eq /car), ^: Annual consumption of fossil fuel in relocated vehicle j in year y (kg,l, /yr), ^: Net calorific value of fossil fuel in relocated vehicle j in year y (MJ/kg, l, ), ^: Fossil fuel emission factor from relocated vehicle j in year y (kgCO _2eq /TJ))

[Equation 4]

^{= 0.01108 (kgCO 2eq /unit)}

( : standard emission factor of carbon emitted from operation per public bicycle)

For example, when the driving information to be determined is the type of mobile device, and [Equation 4] is set to apply when the determined mobile device is a public bicycle, when the determined carbon reduction amount is 100 kgCO _2eq , the server in step S1040 ( 100) can calculate the amount of carbon reduction as 100 kgCO2eq - 0.01108 (kgCO2 _eq /vessel) = 99.98892 kgCO2eq and set compensation accordingly.

For example, the server 100 may apply compensation in consideration of the type of moving mechanism and the driving purpose. For example, the server 100 may determine compensation by subtracting carbon emissions generated in using or operating a mobile device from the determined carbon savings amount, and then applying the mapped object to the determined driving purpose. For example, the determined carbon reduction is 100 kgCO _2eq , the determined driving purpose is leisure (ex. 80% application rate in the case of leisure), and the transportation device is a public bicycle (ex. carbon emission 0.01108 (kgCO _2eq / unit) )), the server 100 calculates the amount of carbon reduction as 100 kgCO2eq - 0.01108 (kgCO2 _eq / unit) = 99.98892 kgCO2eq, and then sets a compensation corresponding to 99.98892 x 80% = 79.991136 corresponding to the 80% ratio can do.

Rewards in this document are rewards for the user's efforts to reduce carbon emissions, and may include various rewards such as carbon credits, credit card company points, and mileage. For example, the server 100 may acquire carbon credits through proof data of carbon reduction, such as movement information obtained from a user, and calculate the carbon credits themselves or the profits due to the carbon credits according to the above-described embodiment. to reward users.

According to the above-described embodiment, the user's past movement information and the user's current movement information are compared to determine the driving information such as the type of movement mechanism used by the user or the driving purpose. Accordingly, the embodiment of the present document may differentially provide compensation for carbon savings according to the determined driving information. As such, the embodiment of this document considers that the user uses the mobile device not only for the purpose of movement itself, but also for the purpose of exercise and leisure, for the purpose of using the mobile device. Compensation can be differentiated by identifying the degree of involvement in reducing carbon emissions.

Various embodiments of this document and terms used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, like reference numbers may be used for like or related elements. The singular form of a noun corresponding to an item may include one item or a plurality of items, unless the relevant context clearly dictates otherwise.

In this document, “A or B”, “at least one of A and B”, “at least one of A or B,” “A, B or C,” “at least one of A, B and C,” and “A Each of the phrases such as “at least one of , B, or C” may include all possible combinations of items listed together in the corresponding one of the phrases. Terms such as "first", "second", or "first" or "secondary" may simply be used to distinguish that component from other corresponding components, and may refer to that component in some other respect (eg, importance or order). ) is not limited in A (e.g. first) component is said to be “coupled” or “connected” to another (e.g. second) component, with or without the terms “functionally” or “communicatively”. When mentioned, it means that a component may be connected to another component directly (eg by wire), wirelessly, or through a third component.

The term "module" used in this document may include a unit implemented by hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit, for example. A module may be an integral part or the smallest unit of a part or part thereof that performs one or more functions. For example, according to one embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of this document may be implemented as software (eg, a program) including one or more instructions stored in a storage medium (eg, memory) readable by a device (eg, an electronic device). Storage media may include random access memory (RAM), memory buffers, hard drives, databases, erasable programmable read-only memory (EPROM), electrically erasable read-only memory (EEPROM), read-only memory (ROM), and/or the like. can include

Also, the processor of the embodiments of this document may call at least one command among one or more commands stored from a storage medium and execute it. This enables the device to be operated to perform at least one function in accordance with at least one command invoked. Such one or more instructions may include code generated by a compiler or code executable by an interpreter. The processor may be a general-purpose processor, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a digital signal processor (DSP), and/or the like.

The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-temporary' only means that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves). does not discriminate between cases

Methods according to various embodiments disclosed in this document may be included and provided in a computer program product. Computer program products may be traded between sellers and buyers as commodities. A computer program product is distributed in the form of a device-readable storage medium (eg compact disc read only memory (CD-ROM)), or through an application store (eg Play Store) or on two user devices (eg a compact disc read only memory (CD-ROM)). : It can be distributed (e.g., downloaded or uploaded) online, directly between smartphones. In the case of online distribution, at least part of the computer program product may be temporarily stored or temporarily created in a storage medium readable by a device such as a manufacturer's server, an application store server, or a memory of a server.

According to various embodiments, each component (eg, module or program) of the described components may include singular or plural entities. According to various embodiments, one or more components or operations among the aforementioned corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg modules or programs) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to integration. According to various embodiments, the actions performed by a module, program, or other component are executed sequentially, in parallel, iteratively, or heuristically, or one or more of the actions are executed in a different order, omitted, or , or one or more other operations may be added.

Claims (15)

one or more memories for storing instructions to perform a predetermined operation; and one or more processors operatively coupled to the one or more memories and configured to execute the instructions;
The operation of the processor is
obtaining first movement information that is past movement information in which the user moved using a movement mechanism;
obtaining second movement information, which is current movement information in which the user has moved using a movement mechanism;
comparing the first movement information with the second movement information to determine a driving purpose for which the user currently uses the movement mechanism;
determining an amount of carbon savings saved by the user based on the second movement information; and
As information to be applied to the differential determination of compensation for each driving purpose, information on a pre-stored compensation ratio is obtained, and the compensation ratio corresponding to the determined driving purpose is reflected in the determined amount of carbon reduction to compensate the user. Including the operation of formulating,
server.
delete According to claim 1,
The first movement information is
Including information about a first driving purpose, a first movement route, and a first movement time acquired from the user;
The second movement information is
Including information on a second travel route and a second travel time obtained from the user;
The operation of determining the driving purpose is
Among the first travel information, the first travel purpose included in the first travel information having the highest similarity to the second travel route and second travel time included in the second travel information is determined as the travel purpose of the second travel information. including the action of
server.
According to claim 3,
The operation of determining the driving purpose is
performing a first filtering on first movement information including a first movement path having a similarity with the second movement path, among the first movement information, equal to or greater than a preset ratio;
performing a second filtering on first movement information including a first movement time having a similarity with the second movement time equal to or greater than a predetermined ratio among the first filtered first movement information; and
Determining a driving purpose included in the highest ratio among driving purposes included in the second filtered first movement information as a driving purpose of the second movement information,
server.
According to claim 1,
The first movement information is
Including information about a first driving purpose, a first movement route, and a first movement time acquired from the user;
The second movement information is
Including information on a second travel route and a second travel time obtained from the user;
The operation of determining the driving purpose is
generating a neural network trained to determine a first driving purpose based on information about a first movement path and a first movement time by using first movement information obtained from one or more users; and
Determining a driving purpose of the user from the second movement information based on the neural network,
server.
According to claim 5,
The second movement information is
Further comprising a second driving purpose input by the user,
The operation of determining the driving purpose is
Comparing the second driving purpose input by the user with the driving purpose determined based on the neural network,
server.
According to claim 1,
The second movement information is
The user includes a moving distance currently moved by using the moving mechanism,
The operation of determining the amount of carbon savings
Determining the amount of carbon savings by applying the travel distance to the carbon emission factor per travel distance of the means of transportation replaced by the user
server.
According to claim 7,
The operation of determining the amount of carbon savings
Determining the carbon emission factor based on the basic carbon emission factor based on the type of transportation means, the net calorific value for each type of transportation, and the fuel efficiency according to the type of transportation means.
server.
According to claim 8,
The operation of determining the amount of carbon savings
determining the carbon emission coefficient by additionally considering a weight according to the population using the alternative means of transportation when a plurality of the population uses the alternative means of transportation,
server.
According to claim 7,
The operation of determining the amount of carbon savings
Setting a distance section for each transportation means within a predetermined range in advance, and determining a transportation means replaced by the user with a transportation means mapped to a distance section to which the travel distance belongs among the preset distance sections.
server.
delete According to claim 1,
The operation of the processor is
Further comprising an operation of determining information about the type of movement mechanism used by the user,
The operation of setting the reward is
Comprising the operation of subtracting the carbon emission generated by the type of the moving mechanism from the determined carbon saving amount and paying compensation,
server.
delete In the operation method performed by the server,
obtaining first movement information that is past movement information in which the user moved using a movement mechanism;
obtaining second movement information, which is current movement information in which the user has moved using a movement device;
comparing the first movement information with the second movement information to determine a driving purpose for which the user currently uses the movement mechanism;
determining an amount of carbon savings saved by the user based on the second movement information; and
As information to be applied to the differential determination of compensation for each driving purpose, information on a pre-stored compensation ratio is obtained, and the compensation ratio corresponding to the determined driving purpose is reflected in the determined amount of carbon reduction to compensate the user. Including the operation of formulating,
How the server works.
A computer-readable recording medium having a computer program recorded thereon, including instructions for causing a processor to perform the method of claim 14.

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