Method and apparatus for diagnosing error of operating equipment in smart farm

• US 10,579,460 B2
• Filed: 11/27/2017
• Issued: 03/03/2020
• Est. Priority Date: 11/28/2016
• Status: Active Grant

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: Kim, Se Han, Park, Hyeon, Eun, Jee Sook
• Primary Examiner(s): Blouin, Mark S
• Application Number:
  US15/822,294
• Publication Number:
  US 20180150344A1
• Time in Patent Office: 827 Days
• Field of Search: 340684
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 23/0229 knowledge based, e.g. expert systems; genetic algorithms
• CPC Class Codes: G06F 11/0709 in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
• CPC Class Codes: G06F 11/0751 Error or fault detection not based on redundancy power supply failures G06F1/30; network fault management H04L41/06
• CPC Class Codes: G06F 11/0769 Readable error formats, e.g. cross-platform generic formats, human understandable formats
• CPC Class Codes: G06F 11/079 Root cause analysis, i.e. error or fault diagnosis in a hardware test environment G06F11/22; in a software test environment G06F11/36
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/55 Push-based network services

Abstract

An error diagnosing method performed by an apparatus for diagnosing an error of operating equipment in a smart farm includes: receiving a control message which triggers an error diagnosis; analyzing data collected from a smart farm on the basis of a preset error diagnostic rule when the control message is received; outputting a result of determining whether an error of the operating equipment installed in the smart farm occurs according to an analysis result; and providing the error determination result to a user through a user interface. It is possible to stably operate and efficiently manage a smart farm.

Claims

1. An error diagnosing method performed by an apparatus for diagnosing an error of operating equipment in a smart farm, the error diagnosing method comprising:

receiving a control message which triggers an error diagnosis;

analyzing data collected from a smart farm on the basis of a preset error diagnostic rule when the control message is received;

outputting a result of determining whether an error of the operating equipment installed in the smart farm occurs according to an analysis result; and

providing the error determination result to a user through a user interface.

2. The error diagnosing method of claim 1, wherein the control message is a message that requests that an error of an external user terminal or a farm cloud be diagnosed, or a message that is periodically generated in the error diagnosing apparatus.

3. The error diagnosing method of claim 1, wherein the collected data includes at least one of operation data of the smart farm, control data of a controller among pieces of the operating equipment, and sensing data of a sensor among the pieces of the operating equipment.

4. The error diagnosing method of claim 1, wherein the providing of the error determination result includes transmitting the error determination result to a push server associated with a user terminal of the user.

5. The error diagnosing method of claim 1, wherein the analyzing includes referring to status information of the operating equipment included in the collected data and determining that an error occurs in a first sensor when an installation site of the first sensor, which is one of the operating equipment, is close to a controller which controls an environment to be measured by the first sensor.

6. The error diagnosing method of claim 5, wherein the error determination result includes an error regarding the installation site of the first sensor.

7. The error diagnosing method of claim 1, wherein the analyzing includes determining that an error occurs in a first controller or a second sensor when the first controller is confirmed to be in operation with reference to status information of the first controller included in the collected data and an amount of change in sensing data obtained by the second sensor, which measures environment information controlled by the first controller, is smaller than a threshold value or a change direction of the sensing data is different from that of the status information of the first controller.

8. The error diagnosing method of claim 1, wherein the analyzing includes determining that an error occurs in a sensor corresponding to first sensing data when, among sensing data of sensors of the same type, the first sensing data included in the collected data differs from the other sensing data by a threshold value or greater or a change trend of the first sensing data is different from that of the other sensing data.

9. The error diagnosing method of claim 1, wherein the analyzing determines an error of the operating equipment on the basis of a growth stage based on a timeline of a crop.

10. An apparatus for diagnosing an error of operating equipment in a smart farm, the apparatus comprising:

at least one processor; and

a memory in which instructions instructing the at least one processor to perform at least one process are stored,

wherein the at least one process includes;

a process of receiving a control message which triggers an error diagnosis;

a process of analyzing data collected from a smart farm on the basis of a preset error diagnostic rule when the control message is received;

a process of outputting a result of determining whether an error of operating equipment installed in the smart farm occurs according to an analysis result; and

a process of providing the error determination result to a user through a user interface.

11. The apparatus of claim 10, wherein the control message is a message that requests that an error of an external user terminal or a farm cloud be diagnosed, or a message that is periodically generated in the apparatus.

12. The apparatus of claim 10, wherein the collected data includes at least one of operation data of the smart farm, control data of a controller among pieces of the operating equipment, and sensing data of a sensor among the pieces of the operating equipment.

13. The apparatus of claim 10, wherein the process of analyzing includes converting the collected data into semantic web-based semantic data.

14. The apparatus of claim 10, wherein the process of providing the error determination result to the user includes transmitting the error determination result to a push server associated with a user terminal of the user.

15. The apparatus of claim 10, wherein the process of analyzing includes referring to status information of the operating equipment included in the collected data and determining that an error occurs in a first sensor when an installation site of the first sensor, which is one of the operating equipment, is close to a controller which controls an environment to be measured by the first sensor.

16. The apparatus of claim 15, wherein the error determination result includes an error regarding the installation site of the first sensor.

17. An error diagnosing method which is performed by an apparatus for diagnosing an error of operating equipment in a smart farm, the error diagnosing method comprising:

receiving data collected from a smart farm;

generating a data table for error diagnosis using the received data;

analyzing the data table on the basis of a preset error diagnostic rule; and

outputting a result of determining whether an error of operating equipment installed in the smart farm occurs according to an analysis result.

18. The error diagnosing method of claim 17, wherein the data table includes an operating device metadata table generated using status information of the operating equipment included in the collected data.

19. The error diagnosing method of claim 17, wherein the outputting of the error determination result further includes generating an error detection event table that includes at least one of an occurrence time, type, and content of a determined error, and a zone in which the error occurs.

20. The error diagnosing method of claim 19, further comprising periodically referring to an error detection event table and providing a push server associated with a user terminal with error information in accordance with the error detection event table.