Industrial control network unidirectional FPGA acquisition fault maintenance analysis system

Abstract

The invention discloses an industrial control network unidirectional FPGA acquisition fault maintenance analysis system. The system comprises an FPGA logic design module, a data acquisition module, adata processing module and a data analysis module. According to the system, minimum system design is carried out on the FPGA, simple work of FPGA is realized, a corresponding FPGA chip is configured,operating mode is selected, a working mode which is most matched with the system is selected to perform system data acquisition, data required by a system is acquired, acquired data information is classified and stored, the data is sent to the data analysis module according to different classifications of the data, the data analysis module is used for testing and calculating the data, and optimizing the system according to test and calculation results, so that the system is optimized. The invention provides a high-efficiency and high-accuracy troubleshooting system, which is used for flexiblyoverhauling equipment in the system and providing a good reference basis for workers in the aspect of equipment maintenance.

Description

technical field [0001] The invention relates to the field of electric network detection, in particular to an industrial control network one-way FPGA acquisition fault inspection and analysis system. Background technique [0002] With the development of intelligent power grids, the types of power online detection products are gradually increasing. With the gradual expansion of industrial control networks, when the system fails, it is necessary to find out the cause of the system failure and determine the solution as soon as possible. At the same time, an early warning mechanism should be formulated to avoid Similar accidents occur again, causing unnecessary losses. In the existing technology, when a fault occurs, the point of fault occurrence can be found in time, and the fault location can be analyzed through fault repair to narrow the scope of fault finding. As time changes, industrial control network As the coverage area increases, more and more devices are connected to th...

AI Technical Summary

Problems solved by technology

[0002] With the development of intelligent power grids, the types of power online detection products are gradually increasing. With the gradual expansion of industrial control networks, when the system fails, it is necessary to find out the cause of the system failure and determine the solution as soon as possible. At the same time, an early warning mechanism should be formulated to avoid Similar accidents occur again, causing unnecessary losses. In the existing technology, when a fault occurs, the point of fault occurrence can be found in time, and the fault location can be analyzed through fault repair to narrow the scope of fault finding. As time changes, industrial control network As the coverage area increases, more and more devices are connected to the network, and equipment aging and fault problems emerge one after another. In the existing industrial control network, people usually choose intelligent methods to collect and analyze faults, but the existing faults The acquisition and maintenance analysis system has the following problems:

[0003] 1. In the existing technology, people usually only carry out equipment maintenance when a fault occurs. At the same time, in the process of equipment maintenance, due to the vague positioning of the equipment, the content of manpower work is increased and the maintenance efficiency is reduced;

[0004] 2. In the process of troubleshooting, the entire system or area is usually repaired, which may cause omissions during the repair process, or overhaul equipment that is in good condition, resulting in uneven distribution of maintenance resources;

[0005] 3. The maintenance of the system is not comprehensive enough, and the maintenance system is not perfect at the same time. When a certain equipment breaks down, if the maintenance is not timely, the entire industrial control network will be paralyzed and cause adverse effects;

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