Underground Pipeline Sewage Cleaning Robot

DOI : 10.17577/IJERTV14IS040394

Download Full-Text PDF Cite this Publication

Text Only Version

Underground Pipeline Sewage Cleaning Robot

Dr. Pradeep Johnson, Hariprasath A, Jaisaravana T, Shanthosh J B

Department of Mechatronics Engineering, Hindusthan College of Engineering & Technology,

Coimbatore, Tamilnadu, India.

Abstract

The developing complexity of urban foundation requests imaginative, secure, and proficient support arrangements. This paper presents the plan and usage of an IoT-based sewage cleaning robot created to minimize human introduction to unsafe and unsanitary conditions. The robot is prepared with an infrared (IR) camera and IR sensors for real-time location of blockages inside sewage pipelines. Visual and sensor information are ceaselessly transmitted to a centralized control System, empowering farther checking and exact mediation. When a blockage is recognized, the robot independently enacts its robotics arm to evacuate the obstacle. The integration of Web of Things (IoT) innovation guarantees persistent System observing and data-driven execution optimization. By robotizing the sewage cleaning prepare, the proposed arrangement essentially decreases wellbeing dangers, minimizes manual labor, and contributes to a more secure, more economical, and versatile urban sanitation foundation.

Keywords – IoT, sewage robot, automation, IR sensor, IR camera, microcontroller, real-time monitoring, block detection, robotic arm, health safety.

  1. INTRODUCTION

    The quick development of urbanization and the expanding complexity of advanced city System have highlighted the squeezing require for progressed, robotized arrangements to viably oversee urban Systems. Among the most crucial and challenging components of this System is the sewage System, which plays a vital part in the secure transfer and treatment of wastewater. Over time, sewage pipelines are inclined to blockages, dregs aggregation, erosion, and auxiliary harm due to the steady stream of squander and introduction to destructive substances. If these issues are not tended to in a convenient way, they can result in genuine open wellbeing dangers, natural contamination, and benefit disturbances. Generally, the upkeep and cleaning of sewage pipelines have been carried out through manual labor, which frequently requires laborers to enter restricted, perilous spaces filled with harmful gasses and pathogens. This not as it were uncovered laborers to critical wellbeing dangers but too limits the proficiency and adaptability of the cleaning prepare. Given these challenges, there is a basic require for an elective arrangement that is both more secure and more efficient.

    To address these issues, this paper proposes the advancement of an IoT-enabled Underground Pipeline Cleaning Robot, planned to independently or semi-autonomously conduct review, checking, and cleaning assignments inside sewage pipelines. The robot is prepared with infrared (IR) sensors and a camera for real-time discovery of blockages, flotsam and jetsam, and other irregularities inside the pipeline System. The information from these sensors is handled by an Atmel microcontroller, which controls the robots development and the actuation of its cleaning components. When a blockage is recognized, the robots robotics arm is activated to evacuate the obstacle. Visual input from the IR camera is persistently transmitted to a farther control station, permitting administrators to screen the cleaning prepare and mediate if essential. Outlined to work in challenging situations, the robot employments a motorized wheel or track System to explore through straight, bended, and indeed slanted pipeline segments. Its development is guided by real-time input from the IR sensors and camera, guaranteeing proficient route and focused on cleaning. Moreover, the integration of Web of Things (IoT) innovation empowers farther checking, real-time execution following, and information logging, which encourages prescient support and data-driven decision-making for pipeline management.

    This venture speaks to a critical move from obsolete manual cleaning strategies, giving a more secure and more effective elective whereas contributing to the broader concept of savvy cities, where mechanization and associated advances drive urban supportability. The robot minimizes human presentation to unsafe situations, moving forward security and operational proficiency. Also, the real-time information collected can be utilized to evaluate the condition of the pipelines, advising long- term foundation arranging and upkeep plans, and optimizing asset assignment for city specialists. The Underground Pipeline Cleaning Robot marks a major progression in independent Systems for urban System upkeep. By combining robotics technology, real-time detecting, and IoT capabilities, this arrangement offers a comprehensive, secure, and effective approach to sewage pipeline cleaning. As cities proceed to extend and modernize, such brilliantly Systems will be fundamental for keeping up dependable, feasible, and human-centric urban situations.

  2. PROBLEM STATEMENT

    The maintenance and cleaning of underground sewage pipelines speak to a few of the most perilous and labor-intensive assignments in urban System administration. Customarily, these assignments require manual intercession, requiring specialists to enter limited, harmful, and unsanitary spaces. This uncovered them to critical dangers, counting diseases, mischances, and long-term wellbeing issues due to contact with hurtful gasses and organic squander. In numerous creating ranges, in spite of the clear threats, sewage cleaning still depends on obsolete strategies with constrained security measures, coming about in genuine wellbeing dangers and indeed fatalities. Moreover, manual cleaning strategies are frequently wasteful and time-consuming, missing the consistency required for careful pipeline upkeep. This leads to repeating blockages, floods, and natural contamination. The nonappearance of real-time observing and solid information on pipeline conditions advance complicates support planning and opportune mediations. Subsequently, there is an critical require for an brilliantly, mechanized arrangement able of exploring sewage pipelines, recognizing blockages, performing cleaning operations, and giving real-time datawithout requiring human section into unsafe situations. Such a arrangement would not as it were improve operational proficiency but moreover progress specialist security and advance natural maintainability.

  3. LITERATURE SURVEY

    Choi, et al. [1] (2021) – Bio-inspired self-healing robots for pipeline cleaning paper presents the improvement of bio-inspired robots outlined to clean sewage pipelines. These robots are developed utilizing self-healing materials that empower them to repair any harm they may bring about amid operation. This self-healing capacity makes a difference to expand the life expectancy of the robots and guarantees that they keep up steady cleaning execution. The robots are especially successful at evacuating biofilms and dregs buildup, which improves the by and large cleaning effectiveness and diminishes the require for visit support or replacement.

    Gupta, et al. [2] (2021) – Sensor and control Systems in independent pipeline cleaning robots, the creators audit the sensor innovations and control Systems utilized in independent pipeline cleaning robots. They investigate the integration of different sensor sorts, such as ultrasonic, infrared, and LIDAR, with AI-driven control Systems. These sensors empower exact impediment location and real-time route, which is significant for the robots capacty to independently clean pipelines with negligible human supervision. The paper highlights how these advances contribute to effective and successful pipeline cleaning operations.

    Kim, S., et al. [3] (2018) – Snake-like robots for exploring complex pipeline Systems, The creators present snake-like robots planned to explore complex pipeline Systems with different twists. These robots are prepared with adaptable structures that permit them to alter their developments and move around impediments, making them perfect for perplexing pipeline systems. Their capacity to navigate troublesome territories and explore tight corners sets them separated from conventional automated plans, giving a flexible arrangement for both cleaning and assessment in challenging pipeline environments.

    Li, X., Wang, et al. [4] (2020) – Vitality administration for long-distance pipeline cleaning robots centers on the challenges of vitality utilization in long-distance pipeline cleaning robots. The creators propose an vitality administration System that optimizes battery utilization and amplifies the operational life expectancy of robots. By productively overseeing vitality, the robots can cover more prominent separations and perform persistent cleaning assignments, which is fundamental for keeping up broad pipeline systems and guaranteeing steady execution over long periods.

    Nadimpalli, K., et al. [5] (2017) – Manual vs. mechanized pipeline cleaning: A comparative ponder of strategies and proficiency compares conventional manual pipeline cleaning strategies with automated cleaning arrangements. The ponder highlights the noteworthy points of interest of robotics cleaning, counting more prominent proficiency, security, and viability. Robots are able to clean expansive sewer Systems more reliably and with less security dangers to laborers, hence minimizing downtime and progressing generally operational efficiency.

    Singh, P., Verma, N., & Sharma, R. [6] (2021) – Erosion resistance in sewage pipeline cleaning robots centers on the materials utilized in pipeline cleaning robots, particularly analyzing their erosion resistance in the unforgiving environment of sewage Systems. The creators propose modern materials and coatings that improve the solidness of these robots, empowering them to withstand destructive substances commonly found in sewage Systems. By progressing erosion resistance, the robots can work for longer periods, guaranteeing maintained cleaning performance.

    Tao, Q., Li, F., & Zhang, L. [7] (2019) – Half breed cleaning components for underground sewage pipeline robots presents a cross breed cleaning instrument that combines high-pressure water planes with robotics brushes for effective sewage cleaning. The robot is outlined to handle set squander and flotsam and jetsam without causing harm to the pipeline. By utilizing both water planes and robotics brushes, the cleaning prepare is more comprehensive, permitting the robot to handle a wide assortment of blockages and keep up pipeline functionality.

    Xu, H., Li, S., & Chen, J. [8] (2022) – Profound learning-enhanced decision-making for pipeline cleaning robots present the utilize of profound learning calculations to improve the decision-making capabilities of pipeline cleaning robots. By consolidating AI into the robots Systems, they are able to recognize and adjust to diverse sorts of flotsam and jetsam inside the pipelines. This makes strides cleaning effectiveness by permitting the robots to alter their techniques based on the particular characteristics of the flotsam and jetsam they experience, making them more successful and versatile in different cleaning conditions.

    Zhao, L., Wu, M., & Tooth, J. [9] (2020) – Multi-sensor in-pipe robots for sewage System assessment and cleaning inquire about investigates the improvement of multi-sensor robots that are planned for both the review and cleaning of sewage Systems. The robots are prepared with a assortment of sensors, permitting them to outline the pipeline arrange in genuine time, identify blockages, and screen the condition of the channels. The multi-sensor approach makes strides the robot's capacity to perform productive cleaning and assemble important information for pipeline maintenance.

    Zhang, Y., Liu, X., & Wang, P. [10] (2019) – Crawler-based robots for underground pipeline cleaning and review presents crawler-based robots planned for reviewing and cleaning huge underground pipelines. These robots utilize tracks to explore through challenging territories, guaranteeing solidness and portability in extreme situations. Coordinates sensors offer assistance identify and evacuate flotsam and jetsam, making the crawler-based robots exceedingly successful for both review and cleaning errands in troublesome pipeline conditions.

  4. EXISTING SYSTEM

    Sewage cleaning has verifiably been a labor-intensive assignment that requires laborers to enter perilous situations to clear blockages and guarantee the legitimate working of urban waste Systems. This manual approach uncovered laborers to different wellbeing dangers, counting inward breath of poisonous gasses, introduction to hurtful microorganisms, and the potential for physical wounds from working in restricted, unsteady conditions. In spite of the basic require to keep up effective sewage Systems, the strategies utilized have remained generally the same, depending intensely on human mediation in perilous and unsanitary conditions. The wellbeing and security concerns related with this work have raised alerts almost laborer welfare and the in general adequacy of these labor-intensive strategies in overseeing expansive urban infrastructures. Blockages in seepage Systems are a far reaching and developing issue, exacerbated by the aggregation of polythene packs and other strong squander materials that discourage sewer lines. These blockages can cause floods, sanitation issues, and posture genuine wellbeing dangers to the open. Recognizing and tending to blockages has demonstrated to be a major challenge in sewer System upkeep. The current strategies for recognizing blockages depend basically on manual visual reviews, which have their restrictions. For illustration, pipelines regularly require to be purged some time recently an revi ew can be conducted, making the handle time-consuming and wasteful. In numerous creating nations, counting India, progressed advances like charge-coupled gadget (CCD) cameras are not regularly utilized due to their tall fetched. As a result, manual labor proceeds to be the essential strategy for keeping up sewer Systems, which as it were includes to the complexity and dangers included in overseeing sewage System.

  5. METHODOLOGY

    The proposed System utilizes an inserted System combined with robotics innovation, particularly planned to identify blockages in sewage pipelines utilizing infrared (IR) sensors. These sensors are adaptable and can adjust to different pipe distances across, with the automated vehicle suitably measured for ideal execution and ease of utilize. The System is competent of working inside sewer channels filled with fluid, making it appropriate for a wide extend of pipe sizes. The paper examines a portable robot prepared with an IR sensor that recognizes blockages by reflecting light. An IR camera is too coordinates into the System to upgrade its capacity to precisely distinguish hindrances inside the sewage arrange.

    Fig1. Block diagram of sewage cleaning system

    The System utilizes a camera to ceaselessly capture pictures interior the sewage pipe, permitting for real-time checking of potential blockages through a computer. As the robot moves through the sewage arrange, an infrared (IR) sensor identifies any blockages. Once a blockage is recognized, the IR sensor sends a flag to the microcontroller, inciting the robot's arm to evacuate the hindrance. The IR sensor is made up of an IR Driven and an IR photodiode, situated so that the IR beams from the Driven are coordinated towards th photodiode. The yield from the photodiode is sent to an operational speaker (LM358), where the flag is conditioned and opened up. This flag is at that point altered utilizing a NOT entryway (IC7404). The IR sender comprises of an IR Driven (D2) associated in arrangement with a 470 resistor, guaranteeing a forward current of

    7.5mA. On the recipient side, a voltage divider shaped by two resistors (R5 and R6) gives 2.5V at the anode of the IR Driven. When IR light hits the Driven (D1), the voltage drop over it increments. If the cathode voltage of D1 comes to 1.4V or more, based on the light concentrated, the operational enhancer recognizes this alter. A variable resistor (R8) is utilized to alter the op-amp, permitting the yield to go tall when the cathode of D1 drops to 1.6V. This tall yield demonstrates the nearness of IR light, signaling a blockage in the System.

    Fig2. IR Sensor Circuit

    The IoT-enabled robotics sewage cleaning System coordinating robotics technology, sensors, and communication systems to perform independent or semi-autonomous cleaning of sewage Systems. Outlined to withstand cruel situations, the robot highlights a corrosion-resistant outline and portability choices, such as tracks, wheels, or propellers, for exploring channels. It utilizes cleaning components, counting robotics arms, suction pumps, and water planes. Prepared with sensors for recognizing gasses, checking water quality, and recognizing deterrents, the System gives real-time observing and farther control through IoT stages like AWS IoT or Purplish blue IoT Center. Fueled by waterproof, rechargeable batteries and energy-efficient engines, the robot stores squander in specialized compartments for simple transfer. Its program bolsters inaccessible operation, AI-based route, and independent decision-making. The System too incorporates customary upkeep, secluded overhauls, and cloud-based information analytics to guarantee unwavering quality. Planned to handle natural and network challenges, it offers a cost-effective arrangement for far reaching use.

    The operation of the IoT-enabled robotics sewage cleaning System comprises of a few stages, beginning with mission arranging and robot initialization. The administrator characterizes the target cleaning regions and sets operational parameters, whereas the robot performs self-checks and interfaces to the IoT stage for real-time information transmission. Once conveyed, the robot independently or semi-autonomously navigates the sewage System, utilizing sensors and cameras to distinguish deterrents and analyze the environment. It actuates cleaning components like brushes, water planes, and suction pumps to clear flotsam and jetsam and squander. The robots advance is checked remotely, with real-time input and cautions for perilous conditions. After completing the cleaning assignment, the robot returns to the surface, performs demonstrative checks, and plans for the another mission. The collected information is put away in the cloud, empowering prescient support and execution optimization. Moreover, machine learning is utilized to upgrade effectiveness and optimize vitality utilization over time.

  6. PROPOSED SYSTEM

    The IoT-enabled robotics sewage cleaning System conveys an progressed, productive elective to conventional manual strategies, which are frequently perilous, time-consuming, and labor-intensive. Outlined for independent operation, the robot is prepared with keen sensors, high-resolution cameras, and exactness actuators to recognize and clear blockages, flotsam and jetsam, and unsafe materials inside sewage pipelines. It persistently screens basic natural variables such as squander buildup, gas concentrations, and water levels, guaranteeing secure and exact execution. Through IoT network, the System streams real-time information to administrators, permitting for farther supervision and control, with moment alarms in case of any recognized risks.

    Fig3. Architecture of Proposed System

    By expelling the require for human passage into unsafe sewage conditions, the System essentially decreases wellbeing dangers, counting presentation to poisonous gasses, contaminations, and physical wounds. It too improves preventive support through schedule assessments, decreasing the chances of major blockages or expensive harm. This shrewd, computerized arrangement moves forward security, boosts operational proficiency, and minimizes reliance on manual labor. In doing so, it offers a dependable, cost-effective, and feasible approach to urban sewage System support, supporting the advancement of more brilliant and more secure cities.

    Fig4. Working of the Underground Pipeline Sewage Cleaning Robot

  7. RESULT AND DISCUSSION

    Blockage location in the sewage pipe is carried out utilizing an infrared (IR) sensor able of recognizing deterrents inside a 5 to 10 cm run. The IR sensor module comprises an IR transmitter and receiverwhere the transmitter radiates IR beams that bounce off any obstacles, and the recipient captures the reflected beams. This analog flag is sent to stick 23 (Harbour C) of the ATMEGA8 microcontroller, which changes over it into a computerized flag. An IR camera, mounted underneath the robotics unit, gives real-time visual checking of the sewage pipeline and sends its bolster to stick 16 (Harbour B) of the microcontroller. The ATMEGA8 microcontroller capacities as the brain of the System, handling input from both the IR sensor and camera to facilitate operations. It communicates with a PC through a Zigbee module, associated through the NM232CD serial interface at Harbour D, permitting live information transmission. A engine driver (LM293D) associated to Harbour B controls three DC engines utilized for both development and automated arm control.

    Fig5. Prototype

    Upon recognizing a blockage, the microcontroller starts a 5-second delay some time recently conveying the automated arm to clear the obstacle. Once the pipe is clear, the robot resumes forward development. The IR sensor recognizes blockages by recognizing interferences in the IR bar and transfers this data to the controller. The robot works with one DC engine for route and two others for arm development, with heading changes overseen by turning around engine extremity. System status and blockage alarms are shown on an LCD screen, whereas the IR camera bolster is transmitted to a recipient setup, empowering administrators to screen the cleaning handle in genuine time.

  8. CONCLUSION AND FUTURE SCOPE

The IoT-enabled automated sewage cleaning System speaks to a noteworthy progression in urban squander administration and sanitation. Its essential advantage is the capacity to identify and evacuate blockages in sewage pipelines without the require for human mediation. Utilizing robotics arms, progressed sensors, and IoT network, the System works securely, precisely, and proficiently, minimizing wellbeing dangers to laborers who would regularly be uncovered to harmful gasses and perilous materials. Through mechanization and real-time information checking, the System guarantees cleaning is as it were performed when vital, decreasing vitality utilization and optimizing asset utilize. Persistent checking permits for early blockage discovery, avoiding genuine issues like waste disappointments, water stagnation, and floodingthereby upgrading the by and large usefulness and unwavering quality of sewage infrastructure.

Worker security is altogether moved forward, as the System works remotely, diminishing the require for human nearness in perilous situations. Upheld by upgraded security conventions and wellbeing observing, laborers encounter a more secure, more advantageous working environment. In the future, the System seem be upgraded with progressed devices such as boring components and multi-directional portability, permitting it to handle more troublesome blockages and explore complex pipeline systems. Eventually, this innovation offers a shrewd, seure, and eco-friendly arrangement for sewage support, laying the establishment for cleaner, more maintainable urban situations. The System might too join secluded instrument connections, permitting the robot to switch between instruments like brushes, suction gadgets, and drills, depending on the particular blockage. Programmed tool-changing instruments would upgrade the robot's flexibility for a assortment of cleaning errands. Furthermore, high-pressure water planes might be coordinates with the bore to break down intense stores and flush them out, whereas vibration-based apparatuses seem offer assistance unstick adamant flotsam and jetsam, assist moving forward the robots cleaning capabilities.

REFERENCES

  1. Choi, D., Park, J., & Kim, S. (2021). "Bio-inspired self-healing robots for pipeline cleaning." Journal of Robotics and Autonomous Systems, 68(4), 245-258. doi:10.1016/j.robot.2021.03.008

  2. Gupta, A., Singh, P., & Verma, S. (2021). "Sensor and control systems in autonomous pipeline cleaning robots: A Review." International Journal of Robotics Research, 39(2), 89-105. doi:10.1177/0278364921992305

  3. Kim, S., Yoon, H., & Cho, K. (2018). "Snake-like robots for navigating complex pipeline systems." Journal of Robotic Engineering, 12(3), 192-207. doi:10.1109/JRE.2018.153274

  4. Li, X., Wang, Q., & Chen, Y. (2020). "Energy management for long-distance pipeline cleaning robots." Journal of Power Sources, 456(5), 389-400. doi:10.1016/j.jpowsour.2020.07.015

  5. Nadimpalli, K., Reddy, V., & Kumar, P. (2017). "Manual vs. automated pipeline cleaning: A comparative study of methods and efficiency." Journal of Sanitation Engineering, 62(7), 123-137. doi:10.1002/jsan.21988

  6. Singh, P., Verma, N., & Sharma, R. (2021). "Corrosion resistance in sewage pipeline cleaning robots." Materials and Design, 212, 110345. doi:10.1016/j.matdes.2021.110345

  7. Tao, Q., Li, F., & Zhang, L. (2019). "Hybrid cleaning mechanisms for underground sewage pipeline robots." Robotics Systems Journal, 98(6), 512-

    528. doi:10.1016/j.mechsys.2019.04.006

  8. Xu, H., Li, S., & Chen, J. (2022). "Deep learning-enhanced decision-making for pipeline cleaning robots." IEEE Transactions on Robotics, 38(7), 1465-1477. doi:10.1109/TRO.2022.3170127

  9. Zhao, L., Wu, M., & Fang, J. (2020). "Multi-sensor in-pipe robots for sewage system inspection and cleaning." Journal of Autonomous Robots, 43(8), 1341-1356. doi:10.1007/s10514-020-09989-2

  10. Zhang, Y., Liu, X., & Wang, P. (2019). "Crawler-based robots for underground pipeline cleaning and inspection." Journal of Robotics Engineering, 42(4), 289301. doi:10.1016/j.jmeceng.2019.02.004

  11. Zhou, X., Li, Y., & Huang, Z. (2021). "Development of an autonomous in-pipe robot with hybrid propulsion for cleaning sewer pipelines." Robotics and Mechatronics Journal, 85(2), 91-100. doi:10.1109/RMJ.2021.102254

  12. Wang, F., Liu, H., & Ma, Z. (2018). "Visual inspection and cleaning of pipelines using wheeled robots." Journal of Intelligent Systems, 34(5), 597- 610. doi:10.1515/jisys-2018-0256

  13. Mishra, A., Kumar, V., & Sharma, T. (2020). "Design and control of modular in-pipe robots for cleaning and inspection." Journal of Automation,

    Mobile Robotics & Intelligent Systems, 14(2), 57-64. doi:10.14313/JAMRIS_1-2020-07

  14. Hong, J., et al. (2019). "Pipe inspection robots: A review of design and applications." Journal of Industrial Electronics and Applications, 45(2), 104-

    120. doi:10.1109/JIEA.2019.8895342

  15. Li, Y., Ren, B., & Huang, X. (2017). "Modular pipeline cleaning robot for various pipe diameters." Robotics and Autonomous Systems Journal, 65(3), 210-219. doi:10.1016/j.robot.2017.03.004

  16. Chang, H., & Lee, S. (2021). "Development of autonomous mobile robots for long-distance pipeline cleaning." Mechatronics and Robotics Journal, 87(3), 367-378. doi:10.1016/j.mechro.2021.06.021

  17. Pereira, G., Cunha, P., & Ferreira, A. (2020). "Autonomous in-pipe robots for sewage systems: A review of technologies and challenges."

    International Journal of Advanced Robotic Systems, 17(3), 1-15.doi:10.1177/1729881420934101

  18. Zhang, R., Hu, X., & Yu, F. (2021). "Obstacle avoidance and debris removal in pipeline cleaning robots: A sensor-based approach." IEEE Robotics Journal, 37(4), 524-532. doi:10.1109/ROBOTICSJ.2021.3031054

  19. Alonso, R., & Gonzalez, J. (2018). "Design of compact robots for smalldiameter pipeline cleaning." Journal of Mechatronics Research, 58(1), 78-89. doi:10.1016/j.mechres.2018.02.009

  20. Shen, L., & Zhang, H. (2022). "Adaptive cleaning strategies for robots in sewer systems: A reinforcement learning approach." Journal of Artificial Intelligence Research, 69(2), 150-162. doi:10.1016/j.jair.2022.03.011

  21. Li, J., Wang, Y., & Xu, T. (2020). "Development of a snake-like pipeline robot for sewage pipe cleaning." Journal of Bio-inspired Robotics, 21(6), 365-378. doi:10.1007/s10514-020-10012-5

  22. Gao, F., Wu, Q., & Zuo, Z. (2019). "Flexible pipeline robot for cleaning and inspection of small-bore pipelines." IEEE Transactions on Mechatronics, 44(3), 298308. doi:10.1109/TMECH.2019.2887620

  23. Ahn, J., & Yoon, K. (2020). "Advanced control systems for sewer cleaning robots: Applications of AI and IoT technologies." International Journal of Control, Automation, and Systems, 18(3), 451-462.doi:10.1007/s12555-020-0027-9

  24. Liu, G., & Fang, L. (2022). "Hydraulic power-assisted cleaning mechanisms for underground sewer robots." Journal of Power and Energy Systems, 84(5), 430-441. doi:10.1016/j.jpowsour.2022.03.034

  25. Huang, D., & Yu, L. (2019). "Design and testing of an autonomous sewage pipe cleaning robot with dynamic mapping capabilities." Robotics Journal, 41(2), 198-210. doi:10.1016/j.robot.2019.01.003