Machine Status And User Behavior Analysis System

• US 20170032250A1
• Filed: 07/29/2015
• Published: 02/02/2017
• Est. Priority Date: 07/29/2015
• Status: Abandoned Application

• Current Assignee: Ching-Ping Chang
• Original Assignee: Ching-Ping Chang
• Inventors: Chang, Ching-Ping
• Application Number:
  US14/811,845
• Publication Number:
  US 20170032250A1
• Time in Patent Office: Days
• US Class Current: 1/1
• 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: G06F 11/3006 where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems multiprogramming arrangements G06F9/46; allocation of resources G06F9/50
• CPC Class Codes: G06F 11/3013 where the computing system is an embedded system, i.e. a combination of hardware and software dedicated to perform a certain function in mobile devices, printers, automotive or aircraft systems testing or monitoring of control systems or parts thereof G05B23/02
• CPC Class Codes: G06F 11/3058 Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations thermal management in cooling arrangements of a computing system G06F1/206
• CPC Class Codes: G06F 11/3082 the data filtering being achieved by aggregating or compressing the monitored data
• CPC Class Codes: G06F 11/3093 Configuration details thereof, e.g. installation, enabling, spatial arrangement of the probes
• CPC Class Codes: G06F 11/3438 monitoring of user actions tracking the activity of the user H04L67/535
• CPC Class Codes: G06N 20/00 Machine learning

Abstract

A machine status and user behavior analysis system includes a detection side device and an analysis side device. The detection side device is electrically connected with the machine. The detection side device includes a data retrieving module, a sensing module, and a data processing module. The data retrieving module retrieves internal data of the machine. The sensing module senses the status of the machine to obtain sensed data. The data processing module processes the internal data of the machine and the sensed data to classify the internal data of the machine and the sensed data into machine status data and operation condition data. The analysis side device is wirelessly connected with the detection side device to receive the machine status data and the operation condition data. The analysis side device includes a data recognizing module which recognizes the machine status data to find a machine abnormal status and recognizes the operation condition data to find user behavior.

Claims

1. A machine status and user behavior analysis system, which is adapted to analyze a status of a machine and to analyze operational behavior of a user of the machine, the machine status and user behavior analysis system comprising:

a detection side device, which is electrically connected with the machine, the detection side device comprising a data retrieving module, a sensing module, and a data processing module, the data retrieving module retrieving internal data of the machine, the sensing module sensing the status of the machine to obtain sensed data, the data processing module processing the internal data of the machine and the sensed data to classify the internal data of the machine and the sensed data into machine status data and operation condition data; and

an analysis side device, which is wirelessly connected with the detection side device to receive the machine status data and the operation condition data, the analysis side device comprising a data recognizing module which recognizes the machine status data to find a machine abnormal status and recognizes the operation condition data to find user behavior.

2. The machine status and user behavior analysis system according to claim 1, wherein the detection side device and the analysis side device are wirelessly connected with each other through a base station, the base station comprises a geographic position computing module computing geographic position data of the detection side device according to a geographic position of the base station and a transmit signal between the base station and the detection side device.

3. The machine status and user behavior analysis system according to claim 1, wherein the data processing module of the detection side device processes the internal data of the machine and the sensed data in a feature extracting manner.

4. The machine status and user behavior analysis system according to claim 1, wherein the analysis side device further receives the internal data of the machine and the sensed data through the detection side device and processes the internal data of the machine and the sensed data in a feature extracting manner by means of a processing module.

5. The machine status and user behavior analysis system according to claim 3, wherein the analysis side device comprises a pattern recognizing module recognizing a pattern of the internal data of the machine that have been processed in the feature extracting manner and/or a pattern of the sensed data that have been processed in the feature extracting manner to discover a data pattern model.

6. The machine status and user behavior analysis system according to claim 5, wherein the pattern recognizing module further extracts the machine status data, the operation condition data, and observation points, and the machine status data, the operation condition data, the observation points are sent back to a database of the analysis side device for having the data recognizing module recognizing the machine status data and the operation condition data.

7. The machine status and user behavior analysis system according to claim 5, wherein the analysis side device further comprises a learning module learning the discovered data pattern model to obtain user preference data and/or error diagnosis data.

8. The machine status and user behavior analysis system according to claim 1, wherein the analysis side device further comprises a predicting module acquiring machine error prediction result and/or a user behavior prediction result according to the machine abnormal status and/or the user behavior.

9. The machine status and user behavior analysis system according to claim 8, wherein the analysis side device further comprises an advising module providing user behavior advice and/or machine error and solution advice according to the machine error prediction result, the user behavior prediction result, the machine abnormal status, and/or the user behavior.

10. The machine status and user behavior analysis system according to claim 1, further comprising a user side device, the user side device being connected with the analysis side device through a network so as to receive data stored in the analysis side device.

11. The machine status and user behavior analysis system according to claim 1, wherein one of the detection side devices receives, in a wireless manner, data from a plurality of other detection side devices that have been processed by the analysis side device.

12. The machine status and user behavior analysis system according to claim 4, wherein the analysis side device comprises a pattern recognizing module recognizing a pattern of the internal data of the machine that have been processed in the feature extracting manner and/or a pattern of the sensed data that have been processed in the feature extracting manner to discover a data pattern model.

13. The machine status and user behavior analysis system according to claim 12, wherein the pattern recognizing module further extracts the machine status data, the operation condition data, and observation points, and the machine status data, the operation condition data, the observation points are sent back to a database of the analysis side device for having the data recognizing module recognizing the machine status data and the operation condition data.

14. The machine status and user behavior analysis system according to claim 12, wherein the analysis side device further comprises a learning module learning the discovered data pattern model to obtain user preference data and/or error diagnosis data.