1. Introduction

Prevention and control of hospital-acquired infections is a cornerstone of health safety and a core mission in improving the quality of health services. The combination of engineering technology and infection management in hospitals has led to breakthroughs in infection control technology. The outbreak of the coronavirus pandemic 2019 (COVID-19) that occurred in Wuhan, China, in December 2019 has become a significant public health emergency characterized by rapid transmission and wide. Many studies have shown that "contact with viruses-contaminated objects can also cause infection", this means that the environment and surfaces contaminated with the virus are an important source of infection promoting the development of the virus. spread of COVID-19 through physical contact. Therefore, environmental disinfection in healthcare facilities is important to cut transmission routes, prevent hospital-acquired infections, and control disease outbreaks.

2. Purpose and Application:

The application of robots to replace humans in disinfection activities brings many benefits such as: Reduce costs and minimize exposure to sources of infection for healthcare workers; Combine many sterilization options such as ultraviolet rays, chemical spray; Ensure the coverage of the areas to be cleaned, ensure that the requirements for cleanliness and disinfectant dosage and disinfection time are in accordance with the requirements; The robot can move to most areas of the clinic through the previously provided path data, and work at any time of the day and any time is activated; Collecting patient's health information (body temperature, blood oxygen), patient's test samples and other environmental parameters for monitoring and evaluation of the disease situation.

As shown in figure 1, based on the mobile robot platform in the form of a transport device equipped with an ultraviolet lamp, an ultra-dry mist hydrogen peroxide generator, and other types of sterilization modules, makes it possible for the robot to meet the requirements at the same time. Disinfection of a variety of environments in a hospital.

Fig. 1. Autonomous disinfection robot

The disinfection robot is developed based on an algorithmic algorithm that fusion of sensors moving in the disinfection area (Figure 2). This is a new technique in one of our studies that was published in a research paper: "Vo Chi Thanh, Nguyen Ngo Anh Quan, Tran Le Thang Dong, Tran Thuan Hoang and Minh T. Nguyen, “Fusion of Inertial and Magnetic Sensors for Autonomous Vehicle Navigation and Freight in Distinctive Environment”, International Conference on Engineering Research and Applications - ICERA 2021 (Accepted).

4. Design Introduction

The mechanical part is also essential in this project to ensure the robot operates smoothly and continuously throughout the working process. We use Solidworks 2021 software to design the robot's 3D drawing board. Accuracy in this stage will help speed up the manufacturing process of the actual product and save the cost of damage during trial production. In parallel with the design, the material selection stage of the parts in the robot also needs to be suitable for the environmental and machining conditions. Figure 6 shows the materials we choose to use, such as aluminium, copper, rubber wheel, Picomat...

Fig. 2. Mechanical Design

Fig. 3. Product Assembly

As mentioned in part 1, to be able to develop a self-propelled disinfection robot, we have set two main goals. Accordingly, the results are as follows:

The first goal is that the robot can move in the ward automatically thanks to the pre-established path data. The robot can avoid obstacles automatically through sonar sensors. In addition, the robot is integrated with a disinfection spray system and a germicidal UV lamp that works automatically.

The second goal is to provide an automatic body temperature, heart rate, spo2 data collection solution whereby data is transmitted from the sensor to the microsoft azure iot hub by device-to-cloud messages with a device named hRobot. This data is also transferred to the software on the computer by cloud-to-device messages.

Currently, we are continuing to update the interface for software A to monitor patient health data. Our data is not stored in a database so it has limitations in making data queries.

                                                                      TS. Trần Thuận Hoàng