Abnormal location method and device for video monitoring platform

Abstract

The embodiment of the invention provides an abnormality positioning method and apparatus for a video monitoring platform. The method comprises the following steps: receiving an abnormal information set transparently transmitted by a processing unit connected to a function initiating unit, wherein the abnormal information set comprises abnormal information generated by each abnormal processing unit; adding, by a most bottom layer processing unit in the abnormal processing units, the generated abnormal information to the abnormal information set, and transparently transmitting the abnormal information set to the previous layer of processing unit, until the abnormal information set is transparently transmitted to the function initiating unit; and determining an abnormal target processing unitaccording to identification information and error codes of the processing units contained in the abnormal information. By adoption of the abnormality positioning method and apparatus provided by theembodiment of the invention, the efficiency of the video monitoring platform to position abnormality can be improved.

Description

technical field [0001] The invention relates to the field of video technology, in particular to an abnormal location method and device for a video monitoring platform. Background technique [0002] In the video surveillance platform, any function is completed by a specific "functional responsibility chain" involving multiple objects. The functional chain of responsibility is structured as figure 1 As shown, it includes a function initiating unit and multiple objects (object 1, object 2, and object 3) connected in sequence. Wherein, the function initiating unit may receive user requests, generate corresponding instructions according to the user requests, and send the generated instructions to corresponding objects for processing. Each object depends on the interface of the lower layer object, and the lower layer object provides services for the upper layer object. Moreover, each object is a processing unit with a specific function, such as a storage management unit, a medi...

AI Technical Summary

Problems solved by technology

However, this method has high requirements for operators, not only requiring them to be able to analyze the objects involved in the "functional responsibility chain" of the function, but also requiring them to analyze the object logs in sequence according to the objects in the "functional responsibility chain". Extract exception information from log records to determine whether it is related to this exception

Therefore, the sequential search method is complex in operation and has low applicability

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