IP Library Granted Patent US 11,392,476
Granted Patent B2
US 11,392,476 · App. 15/684,603 · Granted Jul 19, 2022

Calculating individual carbon footprints

Inventors: Huajing Jin (Hangzhou, CN); Di Xu (Hangzhou, CN); Zhenhua Li (Hangzhou, CN); Xue Bai (Hangzhou, CN)
Assignee: Advanced New Technologies Co., Ltd.
G06F11/3409G06F11/3013G06F11/3058G06F11/3438G06Q10/00G06F2219/10Y02D10/00Y02P90/84Y02P90/845
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Quick Facts
Patent No.
US 11,392,476
App. No.
15/684,603
Granted
Jul 19, 2022
Kind
B2
Abstract

Behavior data associated with a user is obtained. The behavior data is generated when the user uses an Internet service and includes a user identification and identification information indicating the Internet service. At least one predefined carbon-saving quantity quantization algorithm is determined based on the identification information related to the Internet service. A carbon-saving quantity associated with the user is calculated based on the obtained behavior data and the determined at least one predefined carbon-saving quantity quantization algorithm. Based on the calculated carbon-saving quantity associated with the user and the user identification, user data is processed. The user data is related to the carbon-saving quantity associated with the user.

Claims (61)

1. A computer-implemented method comprising:

acquiring fragmented behavior data of a user, wherein each fragment of the behavior data is generated if the user uses a respective on-line service, and wherein each fragment comprises identification information that identifies the respective on-line service corresponding to the behavior data;

determining, for each fragment of the behavior data, at least one preset carbon-saving quantity quantization algorithm according to the identification information of the on-line service;

calculating, for each fragment of the behavior data and using the determined related preset carbon-saving quantity quantization algorithm, a carbon-saving quantity of the user according to the fragment of the behavior data; and

providing, for output, a carbon-saving quantity of the user.

2. A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising:

acquiring fragmented behavior data of a user, wherein each fragment of the behavior data is generated if the user uses a respective on-line service, and wherein each fragment comprises identification information that identifies the respective on-line service corresponding to the behavior data;

determining, for each fragment of the behavior data, at least one preset carbon-saving quantity quantization algorithm according to the identification information of the on-line service;

calculating, for each fragment of the behavior data and using the determined related preset carbon-saving quantity quantization algorithm, a carbon-saving quantity of the user according to the fragment of the behavior data; and

providing, for output, a carbon-saving quantity of the user.

3. A system comprising:

one or more computers; and

one or more computer memory devices interoperably coupled with the one or more computers and having tangible, non-transitory, machine-readable media storing one or more instructions that, when executed by the one or more computers, perform one or more operations comprising:

acquiring fragmented behavior data of a user, wherein each fragment of the behavior data is generated if the user uses a respective on-line service, and wherein each fragment comprises identification information that identifies the respective on-line service corresponding to the behavior data;

determining, for each fragment of the behavior data, at least one preset carbon-saving quantity quantization algorithm according to the identification information of the on-line service;

calculating, for each fragment of the behavior data and using the determined related preset carbon-saving quantity quantization algorithm, a carbon-saving quantity of the user according to the fragment of the behavior data; and

providing, for output, a carbon-saving quantity of the user.

4. The method of claim 1 , wherein each fragment of the behavior data comprises a user identification that indicates a user identity.

5. The method of claim 1 , wherein the at least one present carbon-saving quantity quantization algorithm comprises:

a first preset algorithm that corresponds to saving of paper products; and

a second preset algorithm that corresponds to reduction of trips by a vehicle.

6. The method of claim 5 , wherein, when the first preset algorithm is used to calculate the carbon-saving quantity, calculating the carbon-saving quantity of the user according to a first of the fragments of the behavior data and the determined related preset carbon-saving quantity quantization algorithm comprises:

determining, according to the first fragment of the behavior data, a number of times that the user performs the on-line service, and a geographical position of the user when the user performs the on-line service; and

calculating the carbon-saving quantity of the user is based on the determined number of times that the user performs the on-line service, the determined geographical position, and the first preset algorithm.

7. The method of claim 5 , wherein, when the second preset algorithm is used to calculate a carbon-saving quantity, calculating the carbon-saving quantity of the user according to a first of the fragments of the behavior data and the determined related preset carbon-saving quantity quantization algorithm comprises:

at least determining, according to the first fragment of the behavior data, a number of walking steps or a walking distance of the user; and

calculating the carbon-saving quantity of the user according to the determined number of walking steps or walking distance of the user and the second preset algorithm.

8. The method of claim 5 , wherein determining the at least one preset related carbon-saving quantity quantization algorithm for each fragment of the behavior data according to the identification information of the on-line service comprises:

determining at least one related preset carbon-saving quantity quantization algorithm according to the identification information of the on-line service and a pre-stored corresponding relationship between on-line services and carbon-saving quantity quantization algorithms.

9. The computer-readable medium of claim 2 , wherein the on-line service comprises:

at least one of an electronic payment service, an online reservation service, an online ticketing service, an online bill payment service, and a health service.

10. The computer-readable medium of claim 2 , wherein each fragment of the behavior data comprises a user identification that indicates a user identity.

11. The computer-readable medium of claim 10 , wherein the at least one present carbon-saving quantity quantization algorithm comprises:

a first preset algorithm that corresponds to saving of paper products; and

a second preset algorithm that corresponds to reduction of trips by a vehicle.

12. The computer-readable medium of claim 11 , wherein, when the first preset algorithm is used to calculate the carbon-saving quantity, calculating the carbon-saving quantity of the user according to a first of the fragments of the behavior data and the determined related preset carbon-saving quantity quantization algorithm comprises:

determining, according to the first fragment of the behavior data, a number of times that the user performs the on-line service, and a geographical position of the user when the user performs the on-line service; and

calculating the carbon-saving quantity of the user is based on the determined number of times that the user performs the on-line service, the determined geographical position, and the first preset algorithm.

13. The computer-readable medium of claim 11 , wherein, when the second preset algorithm is used to calculate a carbon-saving quantity, calculating the carbon-saving quantity of the user according to a first of the fragments of the behavior data and the determined related preset carbon-saving quantity quantization algorithm comprises:

at least determining, according to the first fragment of the behavior data, a number of walking steps or a walking distance of the user; and

calculating the carbon-saving quantity of the user according to the determined number of walking steps or walking distance of the user and the second preset algorithm.

14. The computer-readable medium of claim 11 , wherein determining the at least one preset related carbon-saving quantity quantization algorithm for each fragment of the behavior data according to the identification information of the on-line service comprises:

determining at least one related preset carbon-saving quantity quantization algorithm according to the identification information of the on-line service and a pre-stored corresponding relationship between on-line services and carbon-saving quantity quantization algorithms.

15. The computer-readable medium of claim 2 , wherein the on-line service comprises:

at least one of an electronic payment service, an online reservation service, an online ticketing service, an online bill payment service, and a health service.

16. The computer-readable medium of claim 2 , wherein the on-line service comprises:

at least one of an electronic payment service, an online reservation service, an online ticketing service, an online bill payment service, and a health service.

17. The system of claim 3 , wherein each fragment of the behavior data comprises a user identification that indicates a user identity.

18. The system of claim 17 , wherein the at least one present carbon-saving quantity quantization algorithm comprises:

a first preset algorithm that corresponds to saving of paper products; and

a second preset algorithm that corresponds to reduction of trips by a vehicle.

19. The system of claim 18 , wherein, when the first preset algorithm is used to calculate the carbon-saving quantity, calculating the carbon-saving quantity of the user according to a first of the fragments of the behavior data and the determined related preset carbon-saving quantity quantization algorithm comprises:

determining, according to the first fragment of the behavior data, a number of times that the user performs the on-line service, and a geographical position of the user when the user performs the on-line service; and

calculating the carbon-saving quantity of the user is based on the determined number of times that the user performs the on-line service, the determined geographical position, and the first preset algorithm.

20. The system of claim 18 , wherein, when the second preset algorithm is used to calculate a carbon-saving quantity, calculating the carbon-saving quantity of the user according to a first of the fragments of the behavior data and the determined related preset carbon-saving quantity quantization algorithm comprises:

at least determining, according to the first fragment of the behavior data, a number of walking steps or a walking distance of the user; and

calculating the carbon-saving quantity of the user according to the determined number of walking steps or walking distance of the user and the second preset algorithm.

21. The system of claim 18 , wherein determining the at least one preset related carbon-saving quantity quantization algorithm for each fragment of the behavior data according to the identification information of the on-line service comprises:

determining at least one related preset carbon-saving quantity quantization algorithm according to the identification information of the on-line service and a pre-stored corresponding relationship between on-line services and carbon-saving quantity quantization algorithms.

22. The system of claim 3 , wherein the on-line service comprises:

at least one of an electronic payment service, an online reservation service, an online ticketing service, an online bill payment service, and a health service.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 10, 2020
From: ADVANTAGEOUS NEW TECHNOLOGIES CO., LTD.
To: ADVANCED NEW TECHNOLOGIES CO., LTD.
Reel/Frame 053754/0625 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 31, 2020
From: ALIBABA GROUP HOLDING LIMITED
To: ADVANTAGEOUS NEW TECHNOLOGIES CO., LTD.
Reel/Frame 053743/0464 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 25, 2017
From: JIN, HUAJING; XU, DI; LI, ZHENHUA; BAI, XUE
To: ALIBABA GROUP HOLDING LIMITED
Reel/Frame 043400/0476 →
Priority Claims (1)
CN 2016 1 0717756 · Aug 24, 2016 · national
Continuity (1)
Related Publication 20180060204A1 · Mar 1, 2018