Abstract: This disclosure relates generally to data processing, and more particularly, to methods and systems for determining an equipment operation based on historical operation data. In one embodiment, a hardware processor-implemented method for facilitating an operation of a device is provided. The method comprises: receiving an indication of an operation problem for a first device; acquiring historical operation data of a plurality of devices including the first device, the historical operation data including structured data and unstructured data; determining at least a list of first entities and a list of second entities based on the structured data; determining a set of entity associations, each entity association including at least one of the first entities and at least one of the second entities; determining one or more relationships between each of the entity associations; and determining, based on the one or more determined relationships, an operation solution to solve the operation problem.
Claims:WE CLAIM
1. A hardware processor-implemented method for facilitating an operation of a device, the method being performed by one or more hardware processors, comprising:
receiving an indication of an operation problem for a first device;
acquiring historical operation data of a plurality of devices including the first device, the historical operation data including structured data and unstructured data;
determining at least a list of first entities and a list of second entities based on the structured data;
determining, based on the structured and unstructured data, a frequency of association between each of the first entities and each of the second entities;
determining, based on the frequency of association, a set of entity associations, each entity association including at least one of the first entities and at least one of the second entities;
determining one or more relationships between each of the entity associations; and
determining, based on the one or more determined relationships, an operation solution to solve the operation problem.
2. The method of claim 1, wherein the structured data include a set of discrete data that are associated with specific fields configured to provide one or more meanings for the set of discrete data; wherein the first and second entities include the set of discrete data.
3. The method of claim 1, wherein the determination of a frequency of association between each of the first entities and each of the second entities comprises:
searching for at least one of the first entities and at least one of the second entities in the structured data and unstructured data; and
determining an association between the at least one of the first entities and the at least one of the second entities based on a result of searching.
4. The method of claim 3, wherein the unstructured data is filtered based on one or more pre-determined criteria before the searching.
5. The method of claim 1, wherein the determination of one or more relationships between each of the entity associations comprises:
determining a degree of association associated with a relationship between each of the entity associations; and
determining a direction associated with the relationship, wherein the direction reflects a causality relationship.
6. The method of claim 5, wherein the determination of one or more relationships between each of the entity associations comprises:
determining an adjacency matrix based on the degree of association and the direction;
determining a resultant matrix based on a matrix manipulation of the adjacency matrix; and
determining a hypothesis for a reason for the operation problem based on the resultant matrix.
7. The method of claim 6, wherein the operation solution is determined based on the hypothesis for the reason; and wherein the method further comprises: receiving a feedback relate to the operation solution for validating the hypothesis.
8. A system for facilitating an operation of a device, comprising:
one or more hardware processors; and
a memory storing instructions executable by the one or more hardware processors for:
receiving an indication of an operation problem for a first device;
acquiring historical operation data of a plurality of devices including the first device, the historical operation data including structured data and unstructured data;
determining at least a list of first entities and a list of second entities based on the structured data;
determining, based on the structured and unstructured data, a frequency of association between each of the first entities and each of the second entities;
determining, based on the frequency of association, a set of entity associations, each entity association including at least one of the first entities and at least one of the second entities;
determining one or more relationships between each of the entity associations; and
determining, based on the one or more determined relationships, an operation solution to solve the operation problem.
9. The system of claim 8, wherein the structured data include a set of discrete data that are associated with specific fields configured to provide one or more meanings to the set of discrete data; wherein the first and second entities include the set of discrete data.
10. The system of claim 8, wherein the determination of a frequency of association between each of the first entities and each of the second entities comprises the memory storing instructions executable by the one or more hardware processors for:
searching for at least one of the first entities and at least one of the second entities in the structured data and unstructured data; and
determining an association between the at least one of the first entities and the at least one of the second entities based on a result of searching.
11. The system of claim 10, wherein the unstructured data is filtered based on one or more pre-determined criteria before the searching.
12. The system of claim 8, wherein the determination of one or more relationships between each of the entity associations comprises the memory storing instructions executable by the one or more hardware processors for:
determining a degree of association associated with a relationship between each of the entity associations; and
determining a direction associated with the relationship, wherein the direction reflects a causality relationship.
13. The system of claim 12, wherein the determination of one or more relationships between each of the entity associations comprises the memory storing instructions executable by the one or more hardware processors for:
determining an adjacency matrix based on the degree of association and the direction;
determining a resultant matrix based on a matrix manipulation of the adjacency matrix; and
determining a hypothesis for a reason for the operation problem based on the resultant matrix.
14. The system of claim 13, wherein the operation solution is determined based on the hypothesis for the reason; and wherein the memory further stores instructions executable by the one or more hardware processors for: receiving a feedback relate to the operation solution for validating the hypothesis.
Dated this 9th day of March, 2016
R Ramya Rao
Of K&S Partners
Agent for the Applicant
Description:TECHNICAL FIELD
This disclosure relates generally to data processing, and more particularly, to methods and methods and systems for determining an equipment operation based on historical operation data
| # | Name | Date |
|---|---|---|
| 1 | Form 9 [09-03-2016(online)].pdf | 2016-03-09 |
| 2 | Form 5 [09-03-2016(online)].pdf | 2016-03-09 |
| 3 | Form 3 [09-03-2016(online)].pdf | 2016-03-09 |
| 4 | Form 18 [09-03-2016(online)].pdf | 2016-03-09 |
| 5 | Drawing [09-03-2016(online)].pdf | 2016-03-09 |
| 6 | Description(Complete) [09-03-2016(online)].pdf | 2016-03-09 |
| 7 | REQUEST FOR CERTIFIED COPY [12-03-2016(online)].pdf | 2016-03-12 |
| 8 | 201641008219-Power of Attorney-170516.pdf | 2016-07-19 |
| 9 | 201641008219-Form 1-170516.pdf | 2016-07-19 |
| 10 | 201641008219-Correspondence-F1-PA-170516.pdf | 2016-07-19 |
| 11 | 201641008219-FER.pdf | 2020-01-21 |
| 12 | 201641008219-Information under section 8(2) [10-07-2020(online)].pdf | 2020-07-10 |
| 13 | 201641008219-FORM 3 [10-07-2020(online)].pdf | 2020-07-10 |
| 14 | 201641008219-FER_SER_REPLY [15-07-2020(online)].pdf | 2020-07-15 |
| 15 | 201641008219-US(14)-HearingNotice-(HearingDate-02-01-2023).pdf | 2022-12-06 |
| 16 | 201641008219-POA [24-12-2022(online)].pdf | 2022-12-24 |
| 17 | 201641008219-FORM 13 [24-12-2022(online)].pdf | 2022-12-24 |
| 18 | 201641008219-Correspondence to notify the Controller [24-12-2022(online)].pdf | 2022-12-24 |
| 19 | 201641008219-AMENDED DOCUMENTS [24-12-2022(online)].pdf | 2022-12-24 |
| 20 | 201641008219-Written submissions and relevant documents [16-01-2023(online)].pdf | 2023-01-16 |
| 21 | Form 3 [09-03-2016(online)].pdf | 2016-03-09 |
| 21 | 201641008219-PETITION UNDER RULE 137 [16-01-2023(online)].pdf | 2023-01-16 |
| 22 | Form 5 [09-03-2016(online)].pdf | 2016-03-09 |
| 22 | 201641008219-PatentCertificate28-03-2023.pdf | 2023-03-28 |
| 23 | 201641008219-IntimationOfGrant28-03-2023.pdf | 2023-03-28 |
| 23 | Form 9 [09-03-2016(online)].pdf | 2016-03-09 |
| 1 | 201641008219_16-01-2020.pdf |