Case Study: How to Solve the Problem of Loud Noise from Window Cleaning Robots?

Publish Time: 2024-09-06     Origin: Site

How to Solve the Problem of Loud Noise from Window Cleaning Robots? 

Context

Beila, a purchasing officer for a cleaning company, came to us after receiving frequent complaints about the loud noise of the window cleaner they used to use. While the robots performed well in terms of cleaning efficiency, they produced a loud noise that disrupted the working environment inside the building. The office staff began to complain about the noise, which affected productivity and created a distraction, especially during important meetings. Frustrated with the situation, the building management team reached out to us to find a solution that would maintain the cleaning efficiency while minimizing noise.



Challenge

The primary challenge was to reduce the noise produced by the window cleaning robots without compromising their cleaning effectiveness. The client needed a quieter solution that could operate during office hours without disrupting the staff, yet still maintain the pristine condition of the building’s glass facade.



Result

After analyzing the problem and implementing targeted modifications, we successfully reduced the noise level of the window cleaning robots by 60%, allowing them to operate without disturbing the office environment. The robots now clean the building’s windows efficiently while maintaining a quiet operation, greatly improving the overall working atmosphere. Check out our custom products



How We Do It

1. Initial Noise Assessment: We began by conducting a thorough noise assessment of the window cleaning robots in action. This involved measuring the decibel levels at various points throughout the cleaning cycle and identifying the specific components contributing to the noise.
2. Hardware Modifications: Our team focused on making hardware adjustments to the window cleaning robots. This included redesigning certain parts to minimize vibration and introducing sound-dampening materials in key areas to absorb noise during operation.
3. Software Adjustments: In addition to hardware changes, we fine-tuned the software to optimize the robots’ movements. By adjusting the speed and cleaning patterns, we were able to make the robots operate more smoothly, further reducing noise levels.
4. Testing and Validation: After the modifications, we tested the robots in real-world conditions within the office tower. We monitored noise levels and ensured that the cleaning performance remained consistent, with no drop in the quality of the results.
5. Ongoing Support and Maintenance: To ensure long-term success, we provided the building management team with a maintenance plan to keep the robots operating quietly. We also offered technical support to address any future noise issues or performance concerns.


Conclusion

This case study demonstrates how we were able to effectively address the issue of loud noise from window cleaning robots while maintaining their efficiency. By implementing hardware and software modifications, we provided a quieter solution that allowed the client to enjoy the benefits of automation without compromising the comfort of their office environment.



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