DIAGNOSTIC DEVICE AND DIAGNOSTIC METHOD

• US 20170115655A1
• Filed: 05/13/2016
• Published: 04/27/2017
• Est. Priority Date: 10/27/2015
• Status: Abandoned Application

• Current Assignee: Institute For Information Industry
• Original Assignee: Institute For Information Industry
• Inventors: Chiu, Hung-Sheng, Huang, Yung-Yi, Kao, Hung-An, Chen, Cheng-Hui, Chen, Jun-Ren, Chang, Hsiao-Chen
• Application Number:
  US15/154,102
• Publication Number:
  US 20170115655A1
• Time in Patent Office: Days
• CPC Class Codes: G05B 19/4065 Monitoring tool breakage, life or condition
• CPC Class Codes: G05B 2219/34465 Safety, control of correct operation, abnormal states

Abstract

A diagnostic device includes a data obtaining module and an analyzing module. The data obtaining module is configured to obtain a NC program block and receive condition data of an external device corresponds to the NC program block at the same time when the external device performs a NC program. The NC program block is a NC code of the NC program, the external device comprises a plurality of peripheral equipments, and the NC program block corresponds to at least one peripheral equipment of the peripheral equipments. If the condition data is abnormal, the analyzing module is configured to determine the at least one peripheral equipment of the peripheral equipments is abnormal based on the NC program block corresponding to the condition data which is abnormal.

Claims

1. A diagnostic device, comprising:

a data obtaining module configured to obtain a NC program block and receive condition data of an external device corresponds to the NC program block at the same time when the external device performs a NC program, wherein the NC program block is a NC code of the NC program, the external device comprises a plurality of peripheral equipments, and the NC program block corresponds to at least one peripheral equipment of the peripheral equipments; and

an analyzing module, if the condition data is abnormal, the analyzing module configured to determine the at least one peripheral equipment of the peripheral equipments is abnormal based on the NC program block corresponding to the condition data which is abnormal.

2. The diagnostic device of claim 1, wherein the NC program block further comprises a plurality of codes, each of the codes corresponds to at least one peripheral equipment of the peripheral equipments of the external device, wherein the analyzing module determines the at least one peripheral equipment of the peripheral equipments corresponding to the code is abnormal based on the code of the NC program block corresponding to the condition data which is abnormal.

3. The diagnostic device of claim 1, further comprising:

a determining module configured to obtain a threshold condition data from a database, and compare the condition data and the threshold condition data for determining whether the condition data is abnormal.

4. The diagnostic device of claim 3, wherein the database updates data stored in the database based on the NC program block and the condition data corresponding to the NC program block obtained by the data obtaining module.

5. The diagnostic device of claim 1, further comprising:

a sensor coupled to the external device and configured to sense an instantaneous maximum value of the condition data corresponding to the NC program block.

6. The diagnostic device of claim 3, further comprising:

a current transformer coupled to the external device and configured to sense an instantaneous maximum value of electricity consumption corresponding to the NC program block, wherein the determining module obtains a threshold electricity consumption value from the database according to the NC program block, and compares the instantaneous maximum value of the electricity consumption and the threshold electricity consumption value for determining whether the instantaneous maximum value of the electricity consumption is abnormal,

if the instantaneous maximum value of the electricity consumption is abnormal, the analyzing module determines whether at least one peripheral equipment of the peripheral equipments corresponding to the NC program block is abnormal according to the NC program block corresponding to the instantaneous maximum value of the electricity consumption which is abnormal.

7. The diagnostic device of claim 3, further comprising:

an accelerometer coupled to the external device and configured to sense an instantaneous maximum value of vibration corresponding to the NC program block, wherein the determining module obtains a threshold vibration value from the database according to the NC program block, and compares the instantaneous maximum value of the vibration and the threshold vibration value for determining whether the instantaneous maximum value of the vibration is abnormal,

if the instantaneous maximum value of the vibration is abnormal, the analyzing module determines whether at least one peripheral equipment of the peripheral equipments corresponding to the NC program block is abnormal according to the NC program block corresponding to the instantaneous maximum value of the vibration which is abnormal.

8. A diagnostic method, comprising:

obtaining a NC program block and receive condition data of an external device corresponds to the NC program block at the same time by a data obtaining module when the external device performs a NC program, wherein the NC program block is a NC code of the NC program, the external device comprises a plurality of peripheral equipments, and the NC program block corresponds to at least one peripheral equipment of the peripheral equipments; and

if the condition data is abnormal, determining the at least one peripheral equipment of the peripheral equipments is abnormal by an analyzing module based on the NC program block corresponding to the condition data which is abnormal.

9. The diagnostic method of claim 8, wherein the NC program block comprises a plurality of codes, each of the codes corresponds to at least one peripheral equipment of the peripheral equipments of the external device, wherein determining the at least one peripheral equipment of the peripheral equipments is abnormal by the analyzing module based on the NC program block corresponding to the condition data which is abnormal comprising:

the analyzing module determining the at least one peripheral equipment of the peripheral equipments corresponding to the code is abnormal based on the code of the NC program block corresponding to the condition data which is abnormal.

10. The diagnostic method of claim 8, further comprising:

obtaining a threshold condition data from a database, and comparing the condition data and the threshold condition data for determining whether the condition data is abnormal by a determining module.

11. The diagnostic method of claim 10, further comprising:

updating data stored in the database based on the NC program block and the condition data corresponding to the NC program block obtained by the data obtaining module.

12. The diagnostic method of claim 8, further comprising:

sensing an instantaneous maximum value of the condition data corresponding to the NC program block by a sensor, wherein the sensor is coupled to the external device.

13. The diagnostic method of claim 10, further comprising:

sensing an instantaneous maximum value of electricity consumption corresponding to the NC program block by a current transformer; and

obtaining a threshold electricity consumption value from the database according to the NC program block, and comparing the instantaneous maximum value of the electricity consumption and the threshold electricity consumption value for determining whether the instantaneous maximum value of the electricity consumption is abnormal by the determining module, if the instantaneous maximum value of the electricity consumption is abnormal, the analyzing module determines whether at least one peripheral equipment of the peripheral equipments corresponding to the NC program block is abnormal according to the NC program block corresponding to the instantaneous maximum value of the electricity consumption which is abnormal.

14. The diagnostic method of claim 10, further comprising:

sensing an instantaneous maximum value of vibration by an accelerometer corresponding to the NC program block; and

obtaining a threshold vibration value from the database according to the NC program block, and comparing the instantaneous maximum value of the vibration and the threshold vibration value for determining whether the instantaneous maximum value of the vibration is abnormal by the determining module, if the instantaneous maximum value of the vibration is abnormal, the analyzing module determines whether at least one peripheral equipment of the peripheral equipments corresponding to the NC program block is abnormal according to the NC program block corresponding to the instantaneous maximum value of the vibration which is abnormal.