# Communication Fault Maintenance Decision of Information System Based on Inverse Symmetry Algorithm
## 5 Conclusions  
At present, there are many methods for the maintenance of communication faults. The role of oscilloscopes, network analyzers, and multimeters should be brought into full play during the processing of communication faults. Domestic information system communication generally uses the number of failures during the assessment period as the assessment index. There is no rigorous system testing method to evaluate the communication capability of information systems, which cannot effectively reduce the probability of communication failures. Therefore, in the occasions where communication is very important (such as for blast furnaces, power plants, chemical industries, etc.), users of various enterprises should carry out in-depth information system communication restoration capabilities, security, strength, and performance testing when they are put into operation. They should also require system integration and suppliers to provide relevant test methods, and analyze in detail the replaceability, maintainability, scalability, load rate, fault conditions, and exception handling of communication systems. This is very helpful for the daily maintenance and troubleshooting of information systems.  
This paper studies information system communication fault maintenance decisions based on reverse symmetry algorithm and establishes an information system based on the reverse symmetry algorithm. The advantages of Bayesian networks and rough sets are integrated to effectively diagnose communication faults in information systems and take effective maintenance decision-making measures for communication faults. The following conclusions are reached through simulation experiments:1. The method in this paper has lower fault detection time and higher detection efficiency. This is because this method will order the faults of load balancing, pigtail, interface program, and disaster recovery program based on the fuzzy set attribute reduction results. This method saves time in troubleshooting.
2. By adopting the method in this paper, the communication fault maintenance decision of the information system can effectively improve the average accuracy rate of data transmission of the information system under different working distances, and reduce the delay of communication data transmission.  
To sum up, the method in this paper has good performance, low communication data transmission delay, accurate fault detection results, and can give reasonable decision-making methods.  
In addition, the inverse symmetry algorithm can also be applied to the network's physical system security and smart city information communication with little change, which will be further studied in the future.At the same time, improving the accuracy of fault maintenance and realizing the intelligent decision system will be the research goal of the future method.  
In this paper, an information system is established based on the inverse symmetry algorithm; the advantages of Bayesian network and rough set are combined to effectively diagnose the communication failure of the information system. Establish optimal fault diagnosis rules, use fault maintenance decisions of information systems to eliminate faults, and effectively improve the communication performance of information systems. This method can effectively diagnose the communication failure of the information system and make effective maintenance decisions. The average accuracy of data transmission under different working distances is more than 99.5%, which has superior communication performance. [PERSON] and [PERSON] completed the method and concept parts of this article. [PERSON] and [PERSON] review the experimental analysis of this article. [PERSON], [PERSON] and [PERSON] jointly completed the writing of the article. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
The authors declare no conflicts of interest.