Respiratory virus killing method and system

Abstract

The invention relates to a respiratory virus killing method, which relates to the technical field of public health and infectious disease prevention and control, and comprises the following steps: determining a simulated environment containing simulated respiratory viruses; collecting an aerosol sample containing viruses in a simulated environment by using an aerosol collection robot; transmitting the aerosol sample to a central control system with an aerosol type detection function, detecting the sample by the central control system, and identifying the virus type; according to the virus type, the central control system wirelessly instructs the plasma disinfection robot to move to a designated position, and plasma is released to kill the virus in the simulation environment; and the central control system instructs the disinfectant spraying robot to spray the disinfectant to the simulated environment. According to the invention, data transmitted by the aerosol collection robot can be received and analyzed in real time, so that the virus type can be quickly identified.

Description

Technical Field

[0001] The present invention relates to the technical field of public health and infectious disease prevention and control, and in particular to a method and system for disinfecting respiratory viruses. Background Art

[0002] Traditional virus disinfection methods mostly rely on manual operations. Although this method has certain effects, it is relatively inefficient and has the risk of cross-infection. In recent years, with the continuous advancement of robotics and intelligent control systems, we have seen new possibilities for using these advanced technologies to assist in respiratory virus disinfection. However, although some studies have begun to explore the use of robots or automated equipment for virus disinfection, these new methods still face some challenges and shortcomings in practice.

[0003] Specifically, traditional pest control methods do not rely entirely on detailed data analysis, but rather rely more on the operator’s experience and intuitive judgment. This approach may lack sufficient data support in some cases, making it difficult to accurately evaluate the effectiveness of pest control, and it is also impossible to accurately determine which areas need to be focused on pest control. Summary of the invention

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art and provide a method and system for disinfecting respiratory viruses, which can receive and analyze data transmitted by an aerosol collection robot in real time, thereby quickly identifying the virus type.

[0005] In order to solve the above technical problems, the basic concept of the technical solution adopted by the present invention is:

[0006] In a first aspect, a method for disinfecting respiratory viruses comprises:

[0007] Identify a simulated environment containing a simulated respiratory virus;

[0008] Using an aerosol collection robot to collect virus-containing aerosol samples in a simulated environment;

[0009] The aerosol sample is transmitted to a central control system with an aerosol type detection function, and the central control system detects the sample and identifies the virus type;

[0010] According to the virus type, the central control system wirelessly instructs the plasma disinfection robot to move to the designated location and release plasma to kill the virus in the simulated environment;

[0011] The central control system instructs the disinfectant spraying robot to spray disinfectant on the simulated environment;

[0012] Keep disinfectant and plasma in contact with simulated respiratory viruses for a period of time;

[0013] The aerosol collection robot was used again to collect aerosol samples in the simulated environment, and the central control system detected the survival of the virus to verify the disinfection effect.

[0014] Further, a simulation environment containing simulated respiratory viruses is determined, including:

[0015] A certain number of particles are randomly generated in the simulation environment, each particle represents a virus aerosol particle;

[0016] Set the initial speed, direction, size, and survival time attributes for each particle;

[0017] According to the air flow model and the interaction between particles, the movement trajectory of particles in the simulated environment is simulated;

[0018] According to the movement trajectory of the particle in the simulation environment, the position, velocity and survival status information of each particle is updated. When the particle reaches the set survival time, a simulation environment containing simulated respiratory viruses is obtained.

[0019] Furthermore, the aerosol sample is transmitted to a central control system with an aerosol type detection function, and the central control system detects the sample and identifies the virus type, including:

[0020] Pre-treating the aerosol sample transmitted to the central control system to obtain the viral nucleic acid in the pre-treated sample;

[0021] Detect viral nucleic acid in pre-treated samples to identify preliminary virus types;

[0022] The preliminary virus type is analyzed by mass spectrometry technology to identify virus subtypes and variants to obtain the final virus type.

[0023] Furthermore, the viral nucleic acid in the pre-treated sample is tested to identify the preliminary virus type, including:

[0024] Determine specific primer pairs based on known nucleic acid sequences of the target virus;

[0025] The viral nucleic acid extracted after pretreatment is used as a template and added to a PCR reaction tube, and specific primers, DNA polymerase, deoxynucleoside triphosphates and buffer are added at the same time to form a CR reaction system;

[0026] The PCR reaction tube is placed in a PCR instrument and the amplification reaction is performed according to the set temperature and time program. During the reaction, DNA polymerase, under the guidance of primers, uses viral nucleic acid as a template to synthesize new DNA chains, achieving exponential amplification of viral nucleic acid;

[0027] After the amplification reaction is completed, the amplification product is detected using a fluorescent detection method. If the target viral nucleic acid is present in the sample, the specific primer guides the DNA polymerase to synthesize a DNA chain complementary to the primer, forming an amplification product band;

[0028] Based on the information of the amplified product band, determine whether the target virus nucleic acid exists in the sample to identify the preliminary virus type.

[0029] Furthermore, the preliminary virus types are analyzed for virus subtypes and variants through mass spectrometry to obtain the final virus types, including:

[0030] Receive aerosol samples that have undergone preliminary virus type identification from the central control system;

[0031] Purify and concentrate the samples, and analyze the purified and concentrated samples by matrix-assisted laser desorption ionization time-of-flight mass spectrometry;

[0032] Collect mass spectrometry data, including the location, intensity and shape information of mass spectrometry peaks, pre-process the mass spectrometry data, and compare the processed mass spectrometry data with mass spectrometry spectra of known virus subtypes and variants to obtain the matching degree and characteristic of mass spectrometry peaks;

[0033] The virus subtype or variant in the sample is determined based on the matching degree and characteristic of the mass spectrometry peaks.

[0034] Furthermore, according to the virus type, the central control system wirelessly instructs the plasma disinfection robot to move to a designated location and release plasma to kill the virus in the simulated environment, including:

[0035] The central control system sends movement instructions and disinfection task parameters to the plasma disinfection robot through a wireless network connection. The movement instructions include the robot's target position coordinates, movement path planning, and the scheduled start time of the disinfection task;

[0036] After the plasma disinfection robot receives the command, it moves to the target location according to the planned path;

[0037] During the movement, the robot senses the surrounding environment in real time and dynamically adjusts the speed and direction of movement;

[0038] When the plasma disinfection robot reaches the target location, its built-in plasma generator starts working, and the plasma kills the viruses in the simulated environment by destroying the genetic material of viruses and bacteria.

[0039] Furthermore, after receiving the command, the plasma disinfection robot moves to the target location according to the planned path, including:

[0040] Parse the instructions and extract the target position coordinates and movement path planning information;

[0041] According to the target position coordinates and mobile path planning information, the robot uses built-in map data and path planning algorithms to optimize the path to obtain the optimized path;

[0042] According to the optimized path, move to the target location along the planned path.

[0043] In the second aspect, a respiratory virus disinfection system includes:

[0044] An acquisition module is used to determine a simulated environment containing simulated respiratory viruses; using an aerosol collection robot to collect aerosol samples containing viruses in the simulated environment; transmitting the aerosol samples to a central control system with an aerosol type detection function, and the central control system detects the samples and identifies the virus type;

[0045] The processing module is used to wirelessly instruct the plasma disinfection robot to move to a designated position and release plasma to kill the virus in the simulated environment according to the virus type; the central control system instructs the disinfectant spraying robot to spray the disinfectant in the simulated environment; the disinfectant and plasma are kept in contact with the simulated respiratory virus for a period of time; the aerosol collection robot is used again to collect aerosol samples in the simulated environment, and the central control system detects the survival of the virus to verify the disinfection effect.

[0046] After adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art:

[0047] The combination of robots and central control systems has achieved a high degree of automation in the virus disinfection process, greatly improving the disinfection efficiency. Through aerosol collection, sample testing and virus type identification, specific viruses can be accurately disinfected, and the disinfection effect can be verified by collecting aerosol samples again and testing the survival of the virus.

[0048] The central control system can receive and analyze the data transmitted by the aerosol collection robot in real time, so as to quickly identify the virus type; based on real-time data analysis, the central control system can make intelligent decisions, such as which disinfection method to choose, the type and concentration of disinfectant, etc., which improves the pertinence and efficiency of disinfection. Through continuous data collection, analysis and feedback, the system can continuously optimize the disinfection strategy and the robot's action path to improve the overall disinfection effect.

[0049] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. Some specific embodiments of the present application will be described in detail in an illustrative and non-restrictive manner with reference to the drawings. The same reference numerals in the drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the drawings:

[0051] Figure 1 It is a schematic diagram of the respiratory virus disinfection method of the present invention.

[0052] Figure 2 It is a schematic diagram of a control system of the respiratory virus disinfection method of the present invention.

[0053] It should be noted that these drawings and text descriptions are not intended to limit the conceptual scope of the present invention in any way, but to illustrate the concept of the present invention for those skilled in the art by referring to specific embodiments. The elements in the drawings are schematic and not drawn to scale. DETAILED DESCRIPTION

[0054] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of the present application.

[0055] The following embodiment of the present application takes the respiratory virus disinfection method as an example to explain the scheme of the present application in detail, but this embodiment cannot limit the protection scope of the present application.

[0056] like Figure 1 As shown, the present invention provides a method for disinfecting respiratory viruses, comprising:

[0057] Step 11, determining a simulation environment containing a simulated respiratory virus;

[0058] Step 12, using an aerosol collection robot to collect aerosol samples containing viruses in a simulated environment;

[0059] Step 13, transmitting the aerosol sample to a central control system with an aerosol type detection function, and the central control system detects the sample to identify the virus type;

[0060] Step 14, according to the virus type, the central control system wirelessly instructs the plasma disinfection robot to move to a designated location and release plasma to kill the virus in the simulated environment;

[0061] Step 15, the central control system instructs the disinfectant spraying robot to spray the disinfectant on the simulated environment;

[0062] Step 16, keeping the disinfectant and plasma in contact with the simulated respiratory virus for a period of time;

[0063] Step 17, use the aerosol collection robot again to collect aerosol samples in the simulated environment, and the central control system detects the survival of the virus to verify the disinfection effect.

[0064] In an embodiment of the present invention, through the combination of a robot and a central control system, a high degree of automation of the virus disinfection process is achieved, greatly improving the disinfection efficiency. Through aerosol collection, sample detection and identification of virus types, specific viruses can be accurately disinfected, and the disinfection effect can be verified by collecting aerosol samples again and detecting the survival of the virus. The central control system can receive and analyze the data transmitted by the aerosol collection robot in real time, so as to quickly identify the virus type; based on real-time data analysis, the central control system can make intelligent decisions, such as choosing which disinfection method, the type and concentration of disinfectant, etc., to improve the pertinence and efficiency of disinfection. Through continuous data collection, analysis and feedback, the system can continuously optimize the disinfection strategy and the robot's action path to improve the overall disinfection effect.

[0065] In a preferred embodiment of the present invention, the above step 11, determining a simulated environment containing simulated respiratory viruses, comprises:

[0066] Step 111, randomly generating a certain number of particles in the simulation environment, each particle representing a virus aerosol particle;

[0067] Step 112, setting initial speed, direction, size, and survival time attributes for each particle;

[0068] Step 113, simulating the movement trajectory of particles in the simulated environment according to the air flow model and the interaction between particles;

[0069] Step 114, based on the movement trajectory of the particle in the simulated environment, the position, velocity and survival status information of each particle is updated, and when the particle reaches the set survival time, a simulated environment containing simulated respiratory viruses is obtained.

[0070] In an embodiment of the present invention, by setting the properties of each virus aerosol particle in detail, such as initial velocity, direction, size and survival time, and combining the air flow model and the interaction between particles, the method can highly simulate the dynamic behavior of virus aerosol particles in a real environment. In a simulated environment, researchers can flexibly adjust the number, properties and motion model of particles to meet different research needs. This controllability enables researchers to explore the mechanisms of virus transmission and disinfection in more depth. Compared with virus research in a real environment, a simulated environment provides higher safety. Using a simulated environment for research can avoid the high cost of large-scale experiments in a real environment. At the same time, simulation experiments can be repeated quickly, thereby accelerating the research process. In a simulated environment, a large amount of data on the movement, distribution and survival status of virus particles can be easily collected and analyzed. Through simulation experiments, different disinfection methods and strategies can be tested and optimized, which helps to more effectively control and eliminate viruses in a real environment.

[0071] In a simulated hospital ward environment, 1,000 particles were randomly generated, each representing a virus aerosol particle. These particles were evenly distributed in all corners of the ward to simulate various possible initial locations of the virus.

[0072] In step 112, for each particle, the following properties are set:

[0073] Initial velocity,The initial velocity of the particles was randomly set between 0.1 and 0.3 m / s,according to the air flow in the ward.

[0074] The direction of particle movement is also randomly set to simulate the random diffusion of virus aerosol particles in the air.

[0075] Size, the particle size is set to 1-5 microns to reflect the actual size range of viral aerosol particles.

[0076] Survival time, depending on the characteristics of the virus, the survival time of each particle is set to a range of survival time in the air, such as 30 minutes to 2 hours.

[0077] In step 113, an air flow model is used, which takes into account the influence of ventilation conditions, temperature, humidity and other factors on air flow in the ward. Based on this model, the movement trajectory of particles in the ward is simulated. At the same time, the interaction between particles, such as collision and aggregation, is also considered to more realistically simulate the dynamic behavior of virus aerosol particles in the air.

[0078] Step 114, during the simulation, the position, velocity and survival status information of the particle is continuously updated according to the movement trajectory of the particle. When the particle reaches the set survival time, it is marked as "failed", indicating that the virus aerosol particle has lost its activity. In this way, a simulated hospital ward environment containing simulated respiratory viruses is obtained. This simulation environment can be used to test and optimize various virus disinfection methods and strategies, such as plasma disinfection, disinfectant spraying, etc. Through simulation experiments, the effectiveness of these disinfection methods can be evaluated.

[0079] In a preferred embodiment of the present invention, when simulating the motion trajectory of a particle in a simulated environment, the motion equation of the particle in the simulated environment is:

[0080]

[0081] Where m is the mass of the particle, which indicates the degree of response of the particle to the force. is the time derivative of the particle velocity, representing the particle's acceleration, c d is the drag coefficient, ρ is the air density, which represents the mass of air per unit volume, It is the absolute value of the difference between the particle velocity and the air velocity, and is used to calculate the magnitude of the relative velocity. It is the difference between the particle velocity and the air velocity. It is a vector that indicates the direction of movement of the particle relative to the air. is the acceleration due to gravity, which is a constant vector.

[0082] In an embodiment of the present invention, the equation comprehensively considers multiple factors such as the mass of the particle, the drag coefficient, the air density, the relative velocity, and the acceleration of gravity, and can more accurately simulate the motion state of the particle in the air. The equation is based on the principles of physics, especially the principles of fluid mechanics and dynamics, to ensure the scientificity and reliability of the simulation process. In this way, the motion law of virus particles in the air can be better understood. The parameters in the equation can be adjusted according to actual conditions, such as changing the mass of the particle, the drag coefficient or the air density, etc., to adapt to different simulation scenarios and research needs. By simulating the motion trajectory of particles under different conditions, researchers can predict the spread trend and distribution of virus particles in a specific environment.

[0083] In a preferred embodiment of the present invention, in updating the position, velocity and survival status information of each particle, the updating formula of the particle velocity is:

[0084]

[0085] The update formula of the particle position is:

[0086]

[0087] in, is the velocity of the particle at time t, is the velocity of the particle at time t+Δt; is the position of the particle at time t; is the position of the particle at time t+Δt; m is the mass of the particle, Δt is the time interval, which indicates the time step for updating the particle's velocity and position; ρ is the air density, which indicates the mass of air per unit volume, c d is the drag coefficient, is the reference velocity of air at time t, is the acceleration due to gravity, which is a constant vector.

[0088] In an embodiment of the present invention, by taking into account a variety of physical factors (such as resistance, gravity, air density, etc.) in detail, these formulas can more accurately simulate the dynamic behavior of particles in the air. These formulas allow the speed and position of particles to be dynamically updated, thereby being able to simulate the movement and distribution of particles in the environment in real time. The parameters in the formula (such as the mass of the particles, the drag coefficient, the air density, etc.) can be adjusted according to actual conditions so that the simulation can adapt to different environments and conditions.

[0089] In a preferred embodiment of the present invention, the above step 13, transmitting the aerosol sample to a central control system with an aerosol type detection function, and the central control system detects the sample and identifies the virus type, including:

[0090] Step 131, pre-processing the aerosol sample transmitted to the central control system to obtain the viral nucleic acid in the pre-processed sample, specifically including: after the central control system receives the aerosol sample, first registering and recording the source of the sample, collection time and other information; centrifuging or filtering the sample to remove large impurities and non-viral particles, and using a specific buffer or solvent to dilute the sample for subsequent nucleic acid extraction; using chemical or physical methods (such as using a specific lysis solution or enzyme) to destroy the outer shell of the virus particle to release the internal nucleic acid; using a specific extraction technique (such as phenol-chloroform extraction, silica gel membrane adsorption method, etc.) to separate the viral nucleic acid from the lysis solution;

[0091] Step 132, detecting viral nucleic acid in the pre-treated sample to identify a preliminary virus type;

[0092] Step 133, analyze the preliminary virus type for virus subtypes and variants through mass spectrometry analysis technology to obtain the final virus type.

[0093] In an embodiment of the present invention, by pre-treating the aerosol sample, the viral nucleic acid can be extracted more effectively and the interference of other impurities can be eliminated, thereby improving the accuracy of subsequent virus type detection. After pre-treatment, the detection of viral nucleic acid can quickly identify the preliminary virus type. Further analysis of the preliminarily identified virus type through mass spectrometry technology can be accurate to more detailed classifications such as virus subtypes and variants. Accurate virus type identification can guide subsequent disinfection strategies. Different types of viruses may have different sensitivities to disinfection methods and disinfectants. Therefore, accurate virus identification helps to select the most effective disinfection means and improve disinfection efficiency.

[0094] In a preferred embodiment of the present invention, the above step 132, detecting the viral nucleic acid in the pre-treated sample to identify the preliminary virus type, includes:

[0095] Step 1321, determining a specific primer pair based on a known nucleic acid sequence of the target virus;

[0096] Step 1322, the viral nucleic acid extracted after pretreatment is used as a template and added to a PCR reaction tube, and specific primers, DNA polymerase, deoxynucleoside triphosphates and buffer are added at the same time to form a CR reaction system;

[0097] Step 1323, placing the PCR reaction tube in a PCR instrument, and performing an amplification reaction according to a set temperature and time program. During the reaction, the DNA polymerase, under the guidance of the primer, uses the viral nucleic acid as a template to synthesize a new DNA chain, thereby achieving exponential amplification of the viral nucleic acid;

[0098] Step 1324, after the amplification reaction is completed, the amplification product is detected using a fluorescence detection method. If the target viral nucleic acid is present in the sample, the specific primer guides the DNA polymerase to synthesize a DNA chain complementary to the primer, forming an amplification product band;

[0099] Step 1325, based on the information of the amplified product band, determine whether the target virus nucleic acid exists in the sample to identify the preliminary virus type.

[0100] In an embodiment of the present invention, by designing and using specific primer pairs, the method can perform highly specific identification and amplification of known nucleic acid sequences of the target virus. This ensures that only the nucleic acid of the target virus will be detected, thereby greatly improving the accuracy of the detection. PCR technology has extremely high sensitivity and can detect very low concentrations of viral nucleic acid. By exponentially amplifying viral nucleic acid, even if the virus content in the sample is very low, it can be effectively detected, which helps to detect viral infection early. The PCR reaction can achieve a large amount of viral nucleic acid amplification in a short period of time, and combined with the fluorescence detection method, it can quickly determine whether the target virus nucleic acid is present in the sample. This method is applicable to the detection of a variety of viruses, and only specific primers need to be designed according to the nucleic acid sequence of the target virus.

[0101] For example, based on the known nucleic acid sequences of several possible viruses (such as type A virus, type B virus, type C virus, etc.), multiple sets of specific primer pairs were designed. Laboratory technicians successfully extracted viral nucleic acids from aerosol samples provided by patients and added them to PCR reaction tubes as templates. At the same time, specific primers, DNA polymerase, deoxynucleoside triphosphates and buffers for different viruses were added to form multiple PCR reaction systems. The PCR reaction tubes were placed in a PCR instrument and the amplification reaction was started according to the precisely set temperature and time program. In this process, under the guidance of specific primers, DNA polymerase efficiently synthesized new DNA chains using viral nucleic acids as templates, so that the number of viral nucleic acids increased exponentially. After the amplification reaction was completed, the technicians used fluorescence detection methods to detect the amplified products. It was found that in the reaction tube corresponding to the specific primer for D virus type A, an obvious fluorescent signal appeared, indicating that D virus type A nucleic acid was present in the sample. The specific primers successfully guided the DNA polymerase to synthesize DNA chains complementary to the primers, forming clear amplification product bands. Based on the information of the amplified product band, the technicians determined that the sample contained D virus type A nucleic acid, thereby preliminarily identifying the type of virus that infected the patient.

[0102] In a preferred embodiment of the present invention, the above step 133, analyzing the preliminary virus type for virus subtypes and variants by mass spectrometry to obtain the final virus type, includes:

[0103] Step 1331, receiving an aerosol sample that has undergone preliminary virus type identification from a central control system;

[0104] Step 1332, purifying and concentrating the sample, and analyzing the purified and concentrated sample by matrix-assisted laser desorption ionization time-of-flight mass spectrometry;

[0105] Step 1333, collecting mass spectrum data, including the position, intensity and shape information of mass spectrum peaks, preprocessing the mass spectrum data, and comparing the processed mass spectrum data with mass spectra of known virus subtypes and variants to obtain the matching degree and characteristic of mass spectrum peaks;

[0106] Step 1334, determine the virus subtype or variant in the sample based on the matching degree and characteristic of the mass spectrum peak.

[0107] In the embodiments of the present invention, mass spectrometry technology can provide high-resolution data, making the identification of virus subtypes and variants more accurate. By collecting and analyzing mass spectrometry data, including the position, intensity and shape information of mass spectrometry peaks, the protein composition and structural characteristics of the virus can be fully understood. By using a computer to pre-process and compare mass spectrometry data, the processed data can be quickly matched with the mass spectrometry patterns of known virus subtypes and variants, thereby improving the efficiency and accuracy of data analysis.

[0108] For example, the hospital laboratory received aerosol samples that had been preliminarily identified by PCR from the central control system. These samples have been preliminarily confirmed to be D virus, but further analysis is needed to determine the specific subtype or mutation. Laboratory technicians purified and concentrated the received aerosol samples to remove possible interfering substances and increase the concentration of viral proteins. Subsequently, the purified and concentrated samples were analyzed using matrix-assisted laser desorption ionization time-of-flight mass spectrometry. After mass spectrometry analysis, technicians collected rich mass spectrometry data, including the position, intensity and shape information of mass spectrometry peaks. These data were preprocessed, such as denoising and baseline correction, to improve data quality. Then, the technicians compared the processed mass spectrometry data with the mass spectrometry spectra of known D virus subtypes and variants to obtain the matching degree and characteristic of the mass spectrometry peaks. Through careful comparison and analysis, the technicians found that the virus mass spectrometry data in the sample highly matched the mass spectrometry spectra of the known D virus. Based on the matching degree and characteristic of the mass spectrometry peaks, the virus in the sample was determined to be D virus.

[0109] In a preferred embodiment of the present invention, in step 14, according to the virus type, the central control system wirelessly instructs the plasma disinfection robot to move to a designated position and release plasma to kill the virus in the simulated environment, including:

[0110] Step 141, the central control system sends a movement instruction and a disinfection task parameter to the plasma disinfection robot through a wireless network connection, wherein the movement instruction includes the robot's target position coordinates, a movement path plan, and a scheduled start time of the disinfection task;

[0111] Step 142, after the plasma disinfection robot receives the instruction, the robot moves to the target position according to the planned path;

[0112] Step 143, during the movement, the robot senses the surrounding environment in real time and dynamically adjusts the travel speed and direction;

[0113] Step 144, when the plasma disinfection robot reaches the target location, its built-in plasma generator starts to work, and the plasma kills the viruses in the simulated environment by destroying the genetic material of viruses and bacteria.

[0114] In an embodiment of the present invention, the central control system sends instructions to the plasma disinfection robot through a wireless network, thereby achieving fast and accurate task allocation. This wireless control method allows the robot to respond quickly and work according to a predetermined moving path and disinfection task time, greatly improving the efficiency and accuracy of task execution. The robot can move autonomously to the target location according to the planned path, and perceive the surrounding environment in real time during the movement, and dynamically adjust the travel speed and direction. This autonomous navigation and obstacle avoidance capability enables the robot to move flexibly in a complex environment, ensuring the smooth progress of the disinfection task. When the robot reaches the target location, its built-in plasma generator starts working to kill viruses and bacteria by destroying their genetic material.

[0115] For example, the central control system of the hospital sent movement instructions and disinfection task parameters to the plasma disinfection robot through a wireless network connection. The instructions clearly pointed out the target location coordinates of the robot - an infectious disease ward on the third floor of the hospital, and provided detailed movement path planning and the scheduled start time of the disinfection task to ensure that the robot can start working immediately after the medical staff evacuated. After receiving the instructions, the plasma disinfection robot began to move to the target ward along the planned path. During the movement, it automatically avoided pedestrians and other obstacles to ensure that the route was unobstructed. On the way to the ward, the robot constantly sensed the surrounding environment in real time through its onboard sensors and dynamically adjusted the speed and direction of travel. For example, at a corner, the robot detected that medical staff were passing, so it slowed down and waited for the medical staff to pass before continuing to move forward. When the plasma disinfection robot successfully arrived at the target ward, its built-in plasma generator started immediately. The robot began to release plasma, which can destroy the genetic material of viruses and bacteria, thereby achieving the effect of killing viruses. During the disinfection process, the robot also monitors every corner of the ward through its cameras and sensors to ensure comprehensive disinfection without blind spots.

[0116] In a preferred embodiment of the present invention, in the above step 142, after the plasma disinfection robot receives the instruction, the robot moves to the target position according to the planned path, including:

[0117] Step 1421, parse the instruction and extract the target position coordinates and movement path planning information;

[0118] Step 1422, based on the target position coordinates and the moving path planning information, the robot uses the built-in map data and path planning algorithm to optimize the path to obtain an optimized path;

[0119] Step 1423, according to the optimized path, move to the target location according to the planned path.

[0120] In an embodiment of the present invention, the robot parses the received instructions and accurately extracts the target position coordinates and mobile path planning information. This accurate instruction parsing capability ensures that the robot can clearly understand the task requirements. The robot uses built-in map data and path planning algorithms to optimize the original path. This optimization can take into account factors such as obstacles, channel width, and distance in the environment, thereby generating a more efficient and safer mobile path. This not only improves the robot's mobile efficiency, but also reduces the risk of collision with obstacles in the environment. The robot moves to the target position according to the optimized path. Since the path has been optimized, the robot can reach the target position more accurately, reducing deviations and errors. At the same time, the optimized path also improves the reliability of movement and reduces movement failures or delays caused by path problems. The robot can autonomously parse instructions, plan paths, and move to the target position without human intervention. This autonomy and intelligence enable the robot to independently complete tasks in complex environments, improving work efficiency and flexibility.

[0121] For example, on a ward floor of a hospital, a plasma disinfection robot received an instruction from the central control system, requiring it to go to a specific ward to perform a disinfection task. After receiving the instruction, the robot immediately started to act. After receiving the instruction sent by the central control system, the robot first parsed the instruction. Through efficient data processing, the robot successfully extracted the location coordinates of the target ward and the preliminary movement path planning information. After extracting the necessary information, the robot began to optimize the preliminary path using its built-in detailed floor map data and advanced path planning algorithms. During the optimization process, the robot took into account obstacles on the floor, such as other medical equipment, furniture, and wards in use, to ensure that the selected path can avoid these obstacles while minimizing the movement distance and time. After optimization calculations, the robot obtained an efficient and safe movement path. Subsequently, it began to move toward the target ward along this optimized path. During the movement, the robot used its sensors and navigation system to accurately control the direction and speed of travel to ensure accurate and correct progress along the planned path.

[0122] A respiratory virus disinfection system, comprising:

[0123] An acquisition module is used to determine a simulated environment containing simulated respiratory viruses; using an aerosol collection robot to collect aerosol samples containing viruses in the simulated environment; transmitting the aerosol samples to a central control system with an aerosol type detection function, and the central control system detects the samples and identifies the virus type;

[0124] The processing module is used to wirelessly instruct the plasma disinfection robot to move to a designated position and release plasma to kill the virus in the simulated environment according to the virus type; the central control system instructs the disinfectant spraying robot to spray the disinfectant in the simulated environment; the disinfectant and plasma are kept in contact with the simulated respiratory virus for a period of time; the aerosol collection robot is used again to collect aerosol samples in the simulated environment, and the central control system detects the survival of the virus to verify the disinfection effect.

[0125] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for disinfecting respiratory viruses, characterized in that: include: Identify a simulated environment containing a simulated respiratory virus; Using an aerosol collection robot to collect virus-containing aerosol samples in a simulated environment; The aerosol sample is transmitted to a central control system with an aerosol type detection function, and the central control system detects the sample and identifies the virus type; According to the virus type, the central control system wirelessly instructs the plasma disinfection robot to move to the designated location and release plasma to kill the virus in the simulated environment; The central control system instructs the disinfectant spraying robot to spray disinfectant on the simulated environment; Keep disinfectant and plasma in contact with simulated respiratory viruses for a period of time; The aerosol collection robot was used again to collect aerosol samples in the simulated environment, and the central control system detected the survival of the virus to verify the disinfection effect.

2. The method for disinfecting respiratory viruses according to claim 1, characterized in that: Identify a simulation environment containing a simulated respiratory virus, including: A certain number of particles are randomly generated in the simulation environment, each particle represents a virus aerosol particle; Set the initial speed, direction, size, and survival time attributes for each particle; According to the air flow model and the interaction between particles, the movement trajectory of particles in the simulated environment is simulated; According to the movement trajectory of the particle in the simulation environment, the position, velocity and survival status information of each particle is updated. When the particle reaches the set survival time, a simulation environment containing simulated respiratory viruses is obtained.

3. The method for disinfecting respiratory viruses according to claim 2, characterized in that: The aerosol sample is transmitted to a central control system with aerosol type detection function, which detects the sample and identifies the virus type, including: Pre-treating the aerosol sample transmitted to the central control system to obtain the viral nucleic acid in the pre-treated sample; Detect viral nucleic acid in pre-treated samples to identify preliminary virus types; The preliminary virus type is analyzed by mass spectrometry technology to identify virus subtypes and variants to obtain the final virus type.

4. The method for disinfecting respiratory viruses according to claim 3, characterized in that: Detect viral nucleic acid in pre-processed samples to identify preliminary virus types, including: Determine specific primer pairs based on known nucleic acid sequences of the target virus; The viral nucleic acid extracted after pretreatment is used as a template and added to a PCR reaction tube, and specific primers, DNA polymerase, deoxynucleoside triphosphates and buffer are added at the same time to form a CR reaction system; Place the PCR reaction tube in the PCR instrument and perform the amplification reaction according to the set temperature and time program. During the reaction, DNA polymerase, under the guidance of primers, uses viral nucleic acid as a template to synthesize new DNA chains, thereby achieving exponential amplification of viral nucleic acid.

5. The method for disinfecting respiratory viruses according to claim 4, characterized in that: Detection of viral nucleic acid in pre-treated samples to identify preliminary virus types, including: After the amplification reaction is completed, the amplification product is detected using a fluorescent detection method. If the target viral nucleic acid is present in the sample, the specific primer guides the DNA polymerase to synthesize a DNA chain complementary to the primer, forming an amplification product band; Based on the information of the amplified product band, determine whether the target virus nucleic acid exists in the sample to identify the preliminary virus type.

6. The method for disinfecting respiratory viruses according to claim 5, characterized in that: The preliminary virus types are analyzed by mass spectrometry technology for virus subtypes and variants to obtain the final virus types, including: Receive aerosol samples that have undergone preliminary virus type identification from the central control system; The samples were purified and concentrated and analyzed by matrix-assisted laser desorption ionization time-of-flight mass spectrometry.

7. The method for disinfecting respiratory viruses according to claim 5, characterized in that: The preliminary virus type is analyzed by mass spectrometry technology for virus subtypes and variants to obtain the final virus type, which also includes: Collect mass spectrometry data, including the location, intensity and shape information of mass spectrometry peaks, pre-process the mass spectrometry data, and compare the processed mass spectrometry data with mass spectrometry spectra of known virus subtypes and variants to obtain the matching degree and characteristic of mass spectrometry peaks; The virus subtype or variant in the sample is determined based on the matching degree and characteristic of the mass spectrometry peaks.

8. The method for disinfecting respiratory viruses according to claim 7, characterized in that: According to the virus type, the central control system wirelessly instructs the plasma disinfection robot to move to the designated location and release plasma to kill the virus in the simulated environment, including: The central control system sends movement instructions and disinfection task parameters to the plasma disinfection robot through a wireless network connection. The movement instructions include the robot's target position coordinates, movement path planning, and the scheduled start time of the disinfection task; After the plasma disinfection robot receives the command, it moves to the target location according to the planned path; During the movement, the robot senses the surrounding environment in real time and dynamically adjusts the speed and direction of movement; When the plasma disinfection robot reaches the target location, its built-in plasma generator starts working, and the plasma kills the viruses in the simulated environment by destroying the genetic material of viruses and bacteria.

9. The method for disinfecting respiratory viruses according to claim 8, characterized in that: After receiving the command, the plasma disinfection robot moves to the target location according to the planned path, including: Parse the instructions and extract the target position coordinates and moving path planning information; According to the target position coordinates and mobile path planning information, the robot uses built-in map data and path planning algorithms to optimize the path to obtain an optimized path; According to the optimized path, move to the target location along the planned path.

10. A respiratory virus disinfection system, characterized by: include: An acquisition module is used to determine a simulated environment containing simulated respiratory viruses; using an aerosol collection robot to collect aerosol samples containing viruses in the simulated environment; The aerosol sample is transmitted to a central control system with an aerosol type detection function, and the central control system detects the sample and identifies the virus type; The processing module is used to wirelessly instruct the plasma disinfection robot to move to a designated position and release plasma to kill the virus in the simulated environment according to the virus type; the central control system instructs the disinfectant spraying robot to spray the disinfectant in the simulated environment; the disinfectant and plasma are kept in contact with the simulated respiratory virus for a period of time; the aerosol collection robot is used again to collect aerosol samples in the simulated environment, and the central control system detects the survival of the virus to verify the disinfection effect.

Images