Abstract

This paper provides an overview of the state-of-the-art research on the possibilities of using expert methods (artificial neural networks, genetic algorithms, expert systems, decision trees, Markov chains, and ant colony algorithm) for optimising maintenance of sewerage systems. Timely maintenance of sewerage systems is significant as it ensures their proper functioning, repair cost reductions, basic operation of the system, drainage of waste water from households to wastewater treatment plants, and discharge to the receiving water body. Possible uses of expert methods for optimising mai

Highlights

  • An overview of expert methods that are used for optimising maintenance of sewerage systems is presented in the paper

  • The emphasis is placed on those parts of the system that present a higher risk of malfunction or that are older than the remaining parts of the network; here, the experience of maintenance crews is of utmost significance

  • It has been established by the analysis of published papers that most of them deal with optimisation of sewerage system maintenance by means of Markov chains; the remaining papers are based on artificial neural networks and expert systems

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Summary

Maintenance of sewerage systems

A sewerage system can be defined as a group of structures and facilities that are used for the collection, evacuation, treatment, and final discharge of wastewater [1, 2]. Maintenance activities are inter alia carried out to ensure proper fulfilment of the basic function of the facility which involves, in the case of sewerage systems, transport of sewage to the wastewater treatment plant, and satisfaction of all necessary requirements. Haphazard inspection of a sewerage system aimed at predicting its condition is expensive, which is why it is important to concentrate on those parts of the system that are more prone to damage [21] It can be concluded from the above considerations that maintenance of sewerage systems is a highly complex task [22, 23] and that an efficient arrangement of preventive maintenance activities is highly significant as it reduces the total costs of maintenance of sewerage systems [24]. The use of expert methods can be of considerable help in the process of solving the complex task of sewerage system maintenance

Expert methods for sewer system maintenance optimisation
Markov chains
Artificial neural networks
Decision trees
Expert systems
Genetic algorithms
Ant colony optimisation
Conclusion
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