Optimal Design and Simulation for the Intelligent Control of Sewage Treatment Based on Multi-Objective Particle Swarm Optimization
Round 1
Reviewer 1 Report
The authors study an intelligent control method for sewage treatment. However, the scheme is complicated, so I worried that the actual system based on this concept works well. I suggest that the authors resubmitted this paper after obtaining some experimental results.
Author Response
The authors study an intelligent control method for sewage treatment. However, the scheme is complicated, so I worried that the actual system based on this concept works well. I suggest that the authors resubmitted this paper after obtaining some experimental results.
answer:The summary of experimental results has been added to the experiment section.
Reviewer 2 Report
This paper aims to study optimal design and simulation of intelligent control of sewage treatment based on multi-objective particle swarm optimization. However, the paper needs to be more clear about the tasks as follows:
1. Section 1, the authors should review the specific advantages and disadvantages of existing sewage treament systems and the necessity of the current work of using particle swarm optimization. The last paragph of the Introducton needs to be more specific about the main work.
2. For Section 2, it should formulated in the context of sewage treatment systems rather than a general concept.
3. For Section 3, Figure 3 is still too general and this section should contain the main mathematical model for simulating the sewage treatment process. It is unclear how to integarte Figure 5 into the main control system.
4. For Section 4, it is unclear about the mathematical model used fo rthe simulation. Please also check the PID contrllers used in line 241 as Kp should be with e(g) rather than [e(g)-e(g-1)].
5. For Section 5, it is unclear how Table 1 is obtained as the tilte for this seciton is Experimental Simulaiton Results: is it an real experimental result or is it a simulation result? There is no background information on Table 1, Figure 6-9 to understand its source or credibility.
6. For Section 6, the conclusion is very general with lack of support from the main study.
Overall, the paper is unclear what are the main work, what model is used for the simulation and how the results are obtained. These should be clarified in a coherent way.
Author Response
This paper aims to study optimal design and simulation of intelligent control of sewage treatment based on multi-objective particle swarm optimization. However, the paper needs to be more clear about the tasks as follows:
- Section 1, the authors should review the specific advantages and disadvantages of existing sewage treament systems and the necessity of the current work of using particle swarm optimization. The last paragph of the Introducton needs to be more specific about the main work.
answer:The specific advantages and disadvantages of the sewage treatment system and the necessity of using particle swarm optimization to optimize the current work have been added at the beginning of the first section, and the main work has also been described more specifically in the last paragraph of the introduction.
- For Section 2, it should formulated in the context of sewage treatment systems rather than a general concept.
answer:The original conceptual content has been deleted and new content has been added.
- For Section 3, Figure 3 is still too general and this section should contain the main mathematical model for simulating the sewage treatment process. It is unclear how to integarte Figure 5 into the main control system.
answer:3.The content and pictures in this section have been changed, and the corresponding mathematical model has been added.
- For Section 4, it is unclear about the mathematical model used fo rthe simulation. Please also check the PID contrllers used in line 241 as Kp should be with e(g) rather than [e(g)-e(g-1)].
answer:The formula elements in the mathematical model have been changed.
- For Section 5, it is unclear how Table 1 is obtained as the tilte for this seciton is Experimental Simulaiton Results: is it an real experimental result or is it a simulation result? There is no background information on Table 1, Figure 6-9 to understand its source or credibility.
answer:The background information and data sources of the experimental part have been added.
- For Section 6, the conclusion is very general with lack of support from the main study.
Overall, the paper is unclear what are the main work, what model is used for the simulation and how the results are obtained. These should be clarified in a coherent way.
answer:The content of the conclusion is revised as follows:In this paper, the principle of MOPSO algorithm is analyzed under the background of sewage treatment, and then an intelligent control system for sewage treatment based on MOPSO algorithm is constructed. Then, MOPSO algorithm is used to optimize the adaptive energy consumption and effluent quality model of sewage treatment, and PID (proportional integral differential) controller is used to track the optimal set values in each key model. Finally, multi-objective optimal control of sewage treatment process is realized. The research shows that the new intelligent control optimization method of sewage treatment has a good effect in improving the efficiency of sewage treatment.
Reviewer 3 Report
Figure 1 caption uses the word ‘schematic’, may be replaced with some other suitable word as the word schematic is generally referred to circuit diagram.
Figure 3, the word ‘concentration’ is recommended to be in a line.
Line 195, words appears to be repeated.
Proper type set is required for all the equations used in the paper.
Authors are suggested to explain the objective functions formulated in the article.
Author Response
Figure 1 caption uses the word ‘schematic’, may be replaced with some other suitable word as the word schematic is generally referred to circuit diagram.
Figure 3, the word ‘concentration’ is recommended to be in a line.
Line 195, words appears to be repeated.
Proper type set is required for all the equations used in the paper.
Authors are suggested to explain the objective functions formulated in the article.
answer:The contents of Figure 1 and Figure 3 have been changed. The above problems no longer exist. In addition, an explanation of the formula has been added.
Round 2
Reviewer 1 Report
Accept in present form
Author Response
Please see the attachment.
Reviewer 2 Report
The authors have revised and improved the paper significantly. However, some main technical details are still missing such as what is the optimisation set up and how the experiental studies been conducted. It would be worth giving more of these details.
Author Response
The authors have revised and improved the paper significantly. However, some main technical details are still missing such as what is the optimisation set up and how the experiental studies been conducted. It would be worth giving more of these details.
Answer：The optimal setting of this paper is mainly based on the state equation of the sewage treatment control system, input variable constraints and performance indicators, and then provide a group of optimal control variables for sewage treatment through calculation. The experimental research in this paper takes the domestic sewage treatment data as the optimization objective function, uses the multi-objective particle swarm optimization algorithm to optimize the objective function, obtains the optimal set value of the control variable, and then transfers the optimal set value of the control variable to the controller for tracking control. These contents and details are fully explained in the first paragraph of the experiment.
