Intelligent odn equipment management system and method applied to optical fiber distribution network

Abstract

Disclosed in the present invention are an intelligent optical distribution network (ODN) device management system and method applied to an ODN. The method comprises: formulate an overall optical fiber jumping plan to form a construction order, and set a path of an intelligent mobile terminal; download the construction order, convert the construction order into an operation instruction that can be identified by an intelligent ODN device, and deliver the operation instruction to the intelligent ODN device; the intelligent mobile terminal moves to the intelligent ODN device to perform an optical fiber jumping operation when an optical fiber port of the intelligent ODN device issues an operation guidance prompt; after completing the operation, the intelligent mobile terminal reports an operation result and warning information. By remotely controlling an intelligent mobile terminal to perform an optical fiber jumping operation on an intelligent ODN device, the present invention is simple, flexible, and low in costs, reduces the transition time and the labor intensity of personnel, and improves the working efficiency. Multi-angle monitoring is implemented by means of mobile monitoring. The intelligent mobile terminal does not need to rest when having sufficient power, and therefore is suitable for environments with high repeatability and can improve the accuracy of manual operations.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to an intelligent ODN equipment management system and method applied to an optical fiber distribution network. Background technique [0002] In the intelligent optical fiber distribution network, the current common method is that the construction personnel cooperate with the smart phone to perform the operation of plugging and unplugging the optical fiber on site, and complete the optical fiber jumping work of the port of the ODN device. However, in practical applications, this method has the following disadvantages : [0003] (1) It takes a long time for maintenance personnel or on-site construction personnel to move around, and the labor intensity is relatively high, resulting in low work efficiency; [0004] (2) The number of cameras installed in the security video system is small and the installation location is unreasonable, which cannot meet the requirements of remote ...

AI Technical Summary

Problems solved by technology

[0003] (1) It takes a long time for maintenance personnel or on-site construction personnel to move around, and the labor intensity is relatively high, resulting in low work efficiency;

[0004] (2) The number of cameras installed in the security video system is small and the installation location is unreasonable, which cannot meet the requirements of remote monitoring. However, if a large number of cameras are installed, the system cost is large and the maintenance cost is high;

[0005] (3) Manual operation is required, the cost of human resources is high, and it is difficult to meet the needs of all-weather work;

[0006] (4) The environment of the computer room is relatively poor, such as large radiation, high noise, high ambient temperature, etc., and because of the highly repetitive work, it is easy to make people feel bored, resulting in sometimes incomplete on-site operations, reduced accuracy, and dangerous work may cause casualties

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