Monitoring method and apparatus

Patent metadata

Field	Value
Publication number	US-10343630-B2
Application number	US-201715410451-A
Country	US
Kind code	B2
Filing date	Jan 19, 2017
Priority date	Sep 6, 2016
Publication date	Jul 9, 2019
Grant date	Jul 9, 2019

Abstract

The present application discloses a monitoring method and apparatus. A specific implementation of the method comprises: reading information about monitoring data acquisition methods of monitored objects, the monitoring data acquisition method comprising an active acquisition method and a passive acquisition method; executing following steps for each of the monitored objects having the active acquisition method as the monitoring data acquisition method: generating a monitoring data acquisition task of the monitored object; determining a monitoring data acquisition frequency of the monitored object; and adding the monitoring data acquisition task to to-be-executed monitoring data acquisition task sets in a defined period corresponding to the monitoring data acquisition frequency; executing, in successive defined periods, monitoring data acquisition tasks in the corresponding to-be-executed monitoring data acquisition task sets; and parsing acquired monitoring data of the monitored objects to generate a monitoring result. The implementation solves the problem of high system resource occupation and waste of system resources during the monitoring process.

First claim

What is claimed is:

1. A monitoring method, comprising:
reading information about monitoring data acquisition methods of monitored objects, the monitoring data acquisition method comprising an active acquisition method and a passive acquisition method;
executing following steps for each of the monitored objects having the active acquisition method as the monitoring data acquisition method: generating a monitoring data acquisition task of the monitored object; determining a monitoring data acquisition frequency of the monitored object; and adding the monitoring data acquisition task to to-be-executed monitoring data acquisition task sets in a defined period corresponding to the monitoring data acquisition frequency;
executing, in successive defined periods, monitoring data acquisition tasks in the corresponding to-be-executed monitoring data acquisition task sets; and
parsing acquired monitoring data of the monitored objects to generate a monitoring result.

2. The monitoring method according to claim 1 , further comprising:
for each of the monitored objects having the passive acquisition method as the monitoring data acquisition method, detecting a monitoring data transmission request of the monitored object; and acquiring monitoring data of the monitored object in response to positively detecting the monitoring data transmission request of the monitored object.

3. The monitoring method according to claim 1 , wherein the parsing acquired monitoring data of the monitored objects to generate a monitoring result comprises:
parsing acquired monitoring data of each of the monitored objects, to generate a monitoring sub-result of the monitored object;
grouping the monitored objects according to a preset grouping method;
analyzing monitoring sub-results of each group of monitored objects, to generate a group monitoring result of the group; and
analyzing group monitoring results to generate the monitoring result.

4. The monitoring method according to claim 3 , wherein the parsing acquired monitoring data of the monitored objects to generate a monitoring result further comprises:
for a preset monitored object in the monitored objects, in response to a monitoring sub-result of the preset monitored object indicating that monitoring data of the preset monitored object is abnormal, storing the abnormal monitoring data into a log file of the preset monitored object.

5. The monitoring method according to claim 1 , further comprising:
outputting the monitoring result at a preset output time interval.

6. A monitoring apparatus, comprising:
a reading unit, configured to read information about monitoring data acquisition methods of monitored objects, the monitoring data acquisition method comprising an active acquisition method and a passive acquisition method;
a task processing unit, configured to execute following steps for each of the monitored objects having the active acquisition method as the monitoring data acquisition method: generating a monitoring data acquisition task of the monitored object; determining a monitoring data acquisition frequency of the monitored object; and adding the monitoring data acquisition task to to-be-monitored monitoring data acquisition task sets in a defined period corresponding to the monitoring data acquisition frequency;
an execution unit, configured to execute, in successive defined periods, monitoring data acquisition tasks in the corresponding to-be-executed monitoring data acquisition task sets; and
a parsing unit, configured to parse acquired monitoring data of the monitored objects to generate a monitoring result.

7. The monitoring apparatus according to claim 6 , further comprising:
a detecting unit, configured to: for each of the monitored objects having the passive acquisition method as the monitoring data acquisition method, detect a monitoring data transmission request of the monitored object; and acquire monitoring data of the monitored object in response to positively detecting the monitoring data transmission request of the monitored object.

8. The monitoring apparatus according to claim 6 , wherein the parsing unit comprises:
a parsing module, configured to parse acquired monitoring data of each of the monitored objects, to generate a monitoring sub-result of the monitored object;
a first analyzing module, configured to group the monitored objects according to a preset grouping method, and analyze monitoring sub-results of each group of monitored objects, to generate a group monitoring result of the group; and
a second analyzing module, configured to analyze group monitoring results to generate the monitoring result.

9. The monitoring apparatus according to claim 8 , wherein the parsing module is further configured to:
for a preset monitored object in the monitored objects, in response to a monitoring sub-result of the preset monitored object indicating that monitoring data of the preset monitored object is abnormal, store the abnormal monitoring data into a log file of the preset monitored object.

10. The monitoring apparatus according to claim 6 , further comprising:
an outputting unit, configured to output the monitoring result at a preset output time interval.

11. A non-transitory storage medium storing one or more programs, the one or more programs when executed by a device, causing the device to perform a monitoring method, the monitoring method comprising:
reading information about monitoring data acquisition methods of monitored objects, the monitoring data acquisition method comprising an active acquisition method and a passive acquisition method;
executing following steps for each of the monitored objects having the active acquisition method as the monitoring data acquisition method: generating a monitoring data acquisition task of the monitored object; determining a monitoring data acquisition frequency of the monitored object; and adding the monitoring data acquisition task to to-be-executed monitoring data acquisition task sets in a defined period corresponding to the monitoring data acquisition frequency;
executing, in successive defined periods, monitoring data acquisition tasks in the corresponding to-be-executed monitoring data acquisition task sets; and
parsing acquired monitoring data of the monitored objects to generate a monitoring result.

Assignees

• Beijing Baidu Netcom Sci & Tec

Inventors

• He Wei
• Wang Haifeng
• Ma Yu
• Deng Chengliang
• Zhang Weide
• Chen Zhuo

Classifications

• G07C5/008 Primary

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

• G08B29/12

  Checking intermittently signalling or alarm systems · CPC title

• G07C5/0841

  Registering performance data (recording measured values G01D; information storage G11B) · CPC title

• B60R16/0232 Primary

  for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions · CPC title

• G05D1/0088

  characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours (using knowledge based models G06N5/00) · CPC title