Method and apparatus for monitoring a message transmission frequency in a robot operating system

    公开(公告)号:US10127093B1

    公开(公告)日:2018-11-13

    申请号:US16039151

    申请日:2018-07-18

    Abstract: This disclosure discloses a method and apparatus for monitoring a message transmission frequency in a robot operating system. A specific implementation of the method includes: writing to-be-transmitted messages, into a pre-allocated memory; obtaining time points when the to-be-transmitted messages are written into the memory, and recording the time points in a preset time point list; determining a message transmission frequency within a preset time interval based on the time points in the time point list; and comparing the message transmission frequency with a preset message transmission frequency threshold, and generating monitoring information based on a comparing result. This implementation monitors the message transmission frequency of a process to thereby avoid information codes related to monitoring of each application from being added to the application so as to reduce the program debugging cost, and improve the monitoring efficiency.

    METHOD AND APPARATUS FOR MONITORING ROBOT OPERATING SYSTEM

    公开(公告)号:US20180074878A1

    公开(公告)日:2018-03-15

    申请号:US15410454

    申请日:2017-01-19

    CPC classification number: G06F11/1438 G06F11/0736 G06F11/0739 G06F11/076

    Abstract: This disclosure discloses a method and apparatus for monitoring a robot operating system. The method in an embodiment includes: obtaining process identities of to-be-monitored nodes in a group of to-be-monitored nodes; inquiring about state information of processes corresponding to the process identities; determining whether the to-be-monitored nodes are operating normally, based on the state information of the processes; and outputting information that the group of to-be-monitored nodes is abnormal, in response to a number of normally operating to-be-monitored nodes in the group of to-be-monitored nodes being below a predetermined threshold. In this embodiment, the nodes are monitored in groups to improve the efficiency of maintaining the robot operating system.

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