阅读说明：本技术 碳排量监测方法及装置、存储介质、终端 (Carbon emission monitoring method and device, storage medium and terminal ) 是由 林乐 于 2018-08-14 设计创作，主要内容包括：一种碳排量监测方法及装置、存储介质、终端,碳排量监测方法包括：获取用户的行程类型及其对应的行程距离；根据所述行程类型确定碳排系数,所述碳排系数与碳减排量相关；利用所述碳排系数、所述行程距离以及预设单位油耗量计算所述用户在所述行程距离内的碳减排量。本发明技术方案可以获知并监测用户自身行为所带来的碳减排量,有助于激励用户减少碳排量,提升环境质量。(A carbon emission monitoring method and device, a storage medium and a terminal are provided, wherein the carbon emission monitoring method comprises the following steps: acquiring a travel type of a user and a travel distance corresponding to the travel type; determining a carbon rejection coefficient according to the stroke type, the carbon rejection coefficient being related to carbon emission reduction; and calculating the carbon emission reduction amount of the user in the travel distance by using the carbon emission coefficient, the travel distance and a preset unit oil consumption. The technical scheme of the invention can know and monitor the carbon emission reduction caused by the user behavior, is beneficial to exciting the user to reduce the carbon emission and improves the environmental quality.)

1. A carbon emission monitoring method, comprising:

acquiring a travel type of a user and a travel distance corresponding to the travel type;

determining a carbon rejection coefficient according to the stroke type, the carbon rejection coefficient being related to carbon emission reduction;

and calculating the carbon emission reduction amount of the user in the travel distance by using the carbon emission coefficient, the travel distance and a preset unit oil consumption.

2. The carbon displacement monitoring method of claim 1, wherein the carbon rejection coefficient is positively correlated with a carbon reduction amount, and the calculating the carbon reduction amount of the user within the stroke distance using the carbon rejection coefficient, the stroke distance, and a preset unit oil consumption amount comprises:

and calculating the product of the carbon emission coefficient, the travel distance and the preset unit oil consumption as the carbon emission reduction amount.

3. A carbon emission monitoring method according to claim 1, wherein the carbon emission coefficient is positively correlated with a carbon emission reduction amount, which is calculated using the following formula:

β gamma P, wherein C represents the carbon displacement, β represents the carbon displacement coefficient, M represents the preset unit oil consumption, the value of M is 0.12 liter/kilometer, and P represents the stroke distance.

4. A carbon emission monitoring method according to claim 1, wherein the carbon emission coefficient is positively correlated with carbon emission reduction, and the types of travel include walking, riding, and public transportation travel; the sequence of each stroke type from large to small according to the carbon emission coefficient is respectively as follows: walking, riding, and public transportation travel.

5. A carbon displacement monitoring method as claimed in claim 4, wherein the walking and riding carbon displacement coefficients are selected from [2.2,2.4 ].

6. A carbon displacement monitoring method according to claim 4, wherein the public transportation trips comprise a bus trip, a subway trip and a train trip, the carbon displacement coefficient of the bus trip is selected from [1.91,1.92], the carbon displacement coefficient of the subway trip is selected from [2.17,2.19], and the carbon displacement coefficient of the train trip is selected from [2.21,2.23 ].

7. A carbon displacement monitoring method according to claim 1, wherein the type of stroke of the user is obtained by:

the method comprises the steps of obtaining track data of a user, wherein the track data comprise a plurality of track points, and each track point has coordinates, time and instantaneous speed;

determining a plurality of segmentation points according to the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points, wherein the travel types of the track points between every two segmentation points are the same;

and determining the stroke type of each track segment according to at least the average speed among the plurality of segmentation points, wherein the track segment is a track formed by track points between two adjacent segmentation points.

8. A carbon emission monitoring device, comprising:

the system comprises a journey acquisition module, a journey processing module and a journey processing module, wherein the journey acquisition module is suitable for acquiring a journey type of a user and a corresponding journey distance;

a carbon rejection coefficient determination module adapted to determine a carbon rejection coefficient based on the stroke type, the carbon rejection coefficient being related to carbon emission reduction;

and the carbon emission reduction determination module is suitable for calculating the carbon emission reduction of the user in the travel distance by using the carbon emission coefficient, the travel distance and the preset unit oil consumption.

9. The carbon emission amount monitoring device according to claim 8, wherein the carbon rejection coefficient is positively correlated with a carbon reduction amount, and the carbon reduction amount determination module calculates a product of the carbon rejection coefficient, the stroke distance, and a preset unit oil consumption amount as the carbon reduction amount.

10. The carbon displacement monitoring device of claim 8, wherein the carbon displacement coefficient is positively correlated with carbon displacement reduction, and the carbon displacement reduction determination module calculates the carbon displacement reduction using the formula of C β gamma mp, wherein C represents the carbon displacement reduction, β represents the carbon displacement coefficient, M represents a preset unit oil consumption, M has a value of 0.12 liters/km, and P represents the stroke distance.

11. A carbon emission monitoring device in accordance with claim 8, wherein the carbon emission coefficient is positively correlated with carbon emission reduction, and the type of journey includes walking, riding, and public transportation travel; the sequence of each stroke type from large to small according to the carbon emission coefficient is respectively as follows: walking, riding, and public transportation travel.

12. A carbon displacement monitoring device as claimed in claim 11, wherein the walking and riding carbon displacement coefficients are selected from [2.2,2.4 ].

13. A carbon displacement monitoring device according to claim 11, wherein the public transportation trip comprises a bus trip with a carbon displacement factor selected from [1.91,1.92], a subway trip with a carbon displacement factor selected from [2.17,2.19], and a train trip with a carbon displacement factor selected from [2.21,2.23 ].

14. A carbon displacement monitoring apparatus as defined in claim 8, wherein the stroke acquisition module acquires a stroke type of a user by:

the method comprises the steps of obtaining track data of a user, wherein the track data comprise a plurality of track points, and each track point has coordinates, time and instantaneous speed;

determining a plurality of segmentation points according to the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points, wherein the travel types of the track points between every two segmentation points are the same;

and determining the stroke type of each track segment according to at least the average speed among the plurality of segmentation points, wherein the track segment is a track formed by track points between two adjacent segmentation points.

15. A storage medium having stored thereon computer instructions which, when executed, perform the steps of the carbon displacement monitoring method of any one of claims 1 to 7.

16. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, wherein the processor, when executing the computer instructions, performs the steps of the carbon displacement monitoring method of any one of claims 1 to 7.

Technical Field

The invention relates to the technical field of data processing, in particular to a carbon emission monitoring method and device, a storage medium and a terminal.

Background

Carbon emissions are a general or short term for greenhouse gas emissions. The most predominant greenhouse gas is Carbon dioxide, and is therefore represented by the term Carbon (Carbon). Greenhouse gases have passed and will continue to bring disasters to the earth and humans. The daily life of human beings is always discharging carbon dioxide, and how to reduce the carbon emission of factories and enterprises through the economical life, such as less air conditioners and heating, less driving, less sitting on airplanes, and the like, and through the technology of energy conservation and pollution reduction is one of the most important environmental protection topics.

However, how to know and monitor the carbon emission reduction caused by the behavior of the user is an urgent problem to be solved.

Disclosure of Invention

The invention solves the technical problem of how to know and monitor the carbon emission reduction caused by the self behavior of a user.

In order to solve the above technical problem, an embodiment of the present invention provides a carbon emission monitoring method, where the carbon emission monitoring method includes: acquiring a travel type of a user and a travel distance corresponding to the travel type; determining a carbon rejection coefficient according to the stroke type, the carbon rejection coefficient being related to carbon emission reduction; and calculating the carbon emission reduction amount of the user in the travel distance by using the carbon emission coefficient, the travel distance and a preset unit oil consumption.

Optionally, the carbon rejection coefficient is in positive correlation with carbon emission reduction, and calculating the carbon emission reduction of the user in the travel distance by using the carbon rejection coefficient, the travel distance, and a preset unit oil consumption includes: and calculating the product of the carbon emission coefficient, the travel distance and the preset unit oil consumption as the carbon emission reduction amount.

Optionally, the carbon displacement coefficient is positively correlated with carbon displacement reduction, and the carbon displacement reduction is calculated by using the following formula, wherein C is β x mp, C represents the carbon displacement reduction, β represents the carbon displacement coefficient, M represents preset unit oil consumption, M is 0.12 liters/kilometer, and P represents the stroke distance.

Optionally, the carbon emission coefficient is positively correlated with carbon emission reduction, and the travel types include walking, riding and public transportation travel; the sequence of each stroke type from large to small according to the carbon emission coefficient is respectively as follows: walking, riding, and public transportation travel.

Optionally, the carbon row coefficients for said walking and said riding are selected from [2.2,2.4 ].

Optionally, the public transportation trip includes a bus trip, a subway trip and a train trip, the carbon rejection coefficient of the bus trip is selected from [1.91,1.92], the carbon rejection coefficient of the subway trip is selected from [2.17,2.19], and the carbon rejection coefficient of the train trip is selected from [2.21,2.23 ].

Optionally, the type of the trip of the user is obtained by: the method comprises the steps of obtaining track data of a user, wherein the track data comprise a plurality of track points, and each track point has coordinates, time and instantaneous speed; determining a plurality of segmentation points according to the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points, wherein the travel types of the track points between every two segmentation points are the same; and determining the stroke type of each track segment according to at least the average speed among the plurality of segmentation points, wherein the track segment is a track formed by track points between two adjacent segmentation points.

In order to solve the above technical problem, an embodiment of the present invention further discloses a carbon emission monitoring device, including: the system comprises a journey acquisition module, a journey processing module and a journey processing module, wherein the journey acquisition module is suitable for acquiring a journey type of a user and a corresponding journey distance; a carbon rejection coefficient determination module adapted to determine a carbon rejection coefficient based on the stroke type, the carbon rejection coefficient being related to carbon emission reduction; and the carbon emission reduction determination module is suitable for calculating the carbon emission reduction of the user in the travel distance by using the carbon emission coefficient, the travel distance and the preset unit oil consumption.

Optionally, the carbon emission reduction coefficient is positively correlated with carbon emission reduction amount, and the carbon emission reduction amount determination module calculates a product of the carbon emission reduction coefficient, the stroke distance, and a preset unit oil consumption amount as the carbon emission reduction amount.

Optionally, the carbon emission reduction amount determining module calculates the carbon emission reduction amount by using a formula of C β gamma mp, where C represents the carbon emission reduction amount, β represents the carbon emission reduction amount, M represents a preset unit oil consumption, M is 0.12 liters/kilometer, and P represents the stroke distance.

Optionally, the carbon emission coefficient is positively correlated with carbon emission reduction, and the travel types include walking, riding and public transportation travel; the sequence of each stroke type from large to small according to the carbon emission coefficient is respectively as follows: walking, riding, and public transportation travel.

Optionally, the carbon row coefficients for said walking and said riding are selected from [2.2,2.4 ].

Optionally, the public transportation trip includes a bus trip, a subway trip and a train trip, the carbon rejection coefficient of the bus trip is selected from [1.91,1.92], the carbon rejection coefficient of the subway trip is selected from [2.17,2.19], and the carbon rejection coefficient of the train trip is selected from [2.21,2.23 ].

Optionally, the journey obtaining module obtains the journey type of the user by: the method comprises the steps of obtaining track data of a user, wherein the track data comprise a plurality of track points, and each track point has coordinates, time and instantaneous speed; determining a plurality of segmentation points according to the time interval between adjacent track points or the difference of the instantaneous speeds of the adjacent track points, wherein the travel types of the track points between every two segmentation points are the same; and determining the stroke type of each track segment according to at least the average speed among the plurality of segmentation points, wherein the track segment is a track formed by track points between two adjacent segmentation points.

The embodiment of the invention also discloses a storage medium, wherein computer instructions are stored on the storage medium, and when the computer instructions are operated, the steps of the carbon emission monitoring method are executed.

The embodiment of the invention also discloses a terminal which comprises a memory and a processor, wherein the memory is stored with computer instructions capable of running on the processor, and the processor executes the steps of the carbon emission monitoring method when running the computer instructions.

Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:

the technical scheme of the invention obtains the travel type of the user and the corresponding travel distance; determining a carbon rejection coefficient according to the stroke type, the carbon rejection coefficient being related to carbon emission reduction; and calculating the carbon emission reduction amount of the user in the travel distance by using the carbon emission coefficient, the travel distance and a preset unit oil consumption. The carbon emission coefficient is determined according to the stroke type of the user, the higher the carbon emission coefficient is, the higher the carbon emission reduction amount is, and the higher the carbon emission reduction amount generated by the user in a unit distance is; and then the specific carbon emission reduction amount of the user is determined through the travel distance and the preset unit oil consumption, so that the user can learn the carbon emission reduction amount brought by the user when going out, the user is stimulated to reduce the carbon emission, and the environment quality is improved.

Drawings

FIG. 1 is a flow chart of a carbon emission monitoring method according to an embodiment of the invention;

FIG. 2 is a flowchart of one embodiment of step S101 shown in FIG. 1;

fig. 3 is a schematic structural diagram of a carbon emission monitoring device according to an embodiment of the present invention.

Detailed Description

As described in the background art, how to know and monitor the carbon emission reduction amount caused by the behavior of the user is an urgent problem to be solved.

The carbon emission coefficient is determined according to the stroke type of the user, the higher the carbon emission coefficient is, the higher the carbon emission reduction amount is, and the higher the carbon emission reduction amount generated by the user in a unit distance is; and then the specific carbon emission reduction amount of the user is determined through the travel distance and the preset unit oil consumption, so that the user can learn the carbon emission reduction amount brought by the user when going out, the user is stimulated to reduce the carbon emission, and the environment quality is improved.

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.

Fig. 1 is a flow chart of a carbon emission monitoring method according to an embodiment of the present invention.

The carbon emission monitoring method shown in fig. 1 may include the steps of:

step S101: acquiring a travel type of a user and a travel distance corresponding to the travel type;

step S102: determining a carbon rejection coefficient according to the stroke type, the carbon rejection coefficient being related to carbon emission reduction;

step S103: and calculating the carbon emission reduction amount of the user in the travel distance by using the carbon emission coefficient, the travel distance and a preset unit oil consumption.