Dynamic monitoring and analyzing method for air quality of operating room

Abstract

The invention relates to an operating room air quality dynamic monitoring analysis method, which is characterized by comprising the following specific steps of: creating a plurality of sampling areas for monitoring air quality around an operating bed in an operating area in advance, and continuously collecting and storing the quantity and the concentration of particulate matters in different particle size ranges in air in different sampling areas; by monitoring personnel access conditions, different operation types, different cleaning modes and different material distribution methods, data support is provided for improving control quality, the influence of different environmental changes on particulate matters in air is analyzed, and then control can be performed by adopting positive means according to analysis results. The air quality data of the operation core area and the peripheral area can be obtained through the multiple sampling areas, the data are stored to form a continuous air quality broken line graph, the air quality full view of the whole day is truly restored, and therefore the air quality in the operating room is improved.

Description

Technical Field

[0001] The present invention relates to an air quality monitoring and analysis method, and in particular to an operating room air quality dynamic monitoring and analysis method. Background Art

[0002] Laminar flow operating rooms use air purification technology to control microbial contamination to varying degrees, so as to achieve the air cleanliness in the controlled space environment suitable for various types of surgery, and provide appropriate temperature and humidity to create a fresh, clean, comfortable, and low-bacteria operating space environment, so that the patient's tissues are damaged as little as possible during surgery and the infection rate is greatly reduced.

[0003] At present, the air self-purification in laminar flow operating rooms before surgery is generally controlled manually by nurses, without real-time monitoring function. The self-purification time depends entirely on the setting parameters of the air conditioner, and it cannot be automated or intelligent. The cleanliness of the operating room is not recorded in real time, and it cannot reflect the impact of factors such as personnel and equipment scheduling in the operating room on cleanliness indicators. There is no correlation analysis of the subsequent impact on the patient's incision. Summary of the Invention

[0004] The purpose of the present invention is to provide a dynamic monitoring and analysis method for operating room air quality, which continuously monitors air quality data at multiple points to analyze the impact of various medical activities in the operating room on the air quality of the operating room, and provide data support for improving control quality.

[0005] In order to achieve the above object, the technical solution of the present invention is: a method for dynamic monitoring and analysis of air quality in an operating room, the innovation of which lies in: the specific steps are:

[0006] Step S1: Create multiple sampling areas around the operating table in the operating area to monitor air quality. Continuously collect and store the number and concentration of particles of different particle sizes in the air in different sampling areas.

[0007] Step S2: Under the premise of implementing step S1, monitor the time when the surgical staff and surgical observers pick up surgical gowns, the time when medical staff enter the operating room, and the number of times they enter and exit the operating room.

[0008] Step S3: monitor the operation start time, operation end time, cleaning time and self-cleaning time under the premise of implementing step S1.

[0009] Step S4: monitor the time when the robot enters the operating room, the time when it leaves, and the type of materials it delivers, under the premise of implementing step S1.

[0010] In step S5, based on the data collected in steps S2 to S4, the impact of different environmental changes on particulate matter in the air is analyzed. It is found that the entry and exit of visitors has the highest impact, the impact of surgical participants is medium, and robot delivery has the lowest impact on air quality. Based on this conclusion, the quality changes in the operating room are improved to achieve the purpose of improving the cleanliness of the air quality.

[0011] In the above technical solution, the sampling area in step S1 is the position of the operating table itself as the core area of ​​sampling, and one side of the operating table is the sampling peripheral area 1, and the other side is the sampling peripheral area 2.

[0012] An air port is pre-installed on the anesthesia tower in the operating room, and the air port is connected to the air pump channel 1 through a connecting hose inside the tower, corresponding to the peripheral area 1. An air port is added to the surgical tower, and the air port is connected to the air pump channel 2 through a connecting hose inside the tower, corresponding to the peripheral area 2. An electric telescopic rod is installed on the top of the operating table, and the built-in connecting hose is connected to the air pump channel 3, corresponding to the core area.

[0013] The air in the core area and the surrounding area of ​​the operating table is collected through different air pump channels.

[0014] In the above technical solution, the particle sizes of the particles in the air collected in different sampling areas in step S1 include 0.3um, 0.5um, 1.0um, 3.0um, 5.0um, and 10um, and the collection frequency is 1 second / time.

[0015] In the above technical solution, the data collected in steps S1 to S4 form an observation line graph and are arranged in positive order along the time axis, summarizing the factors affecting the air quality in the operating room to form continuous time axis data.

[0016] The positive effect of the present invention is that after adopting the dynamic monitoring and analysis method of the operating room air quality of the present invention, the specific steps are: first, create multiple sampling areas for monitoring air quality, and monitor the time when surgical personnel pick up surgical gowns, the time when they enter and leave the operating room, the start time, end time, cleaning time and self-cleaning time of the operation, and monitor the activity time of robots entering and leaving the operating room and the types of distributed materials.

[0017] Therefore, the present invention can continuously monitor the air quality data at different points, introduce influencing factors, and analyze the effects of different influencing factors. It can automatically complete multi-point data monitoring without human intervention, so that it can intuitively see the impact of influencing factors such as personnel activities and material inflow and outflow in the operating room on the air quality, provide data support for improving control quality, and then adopt active means to control according to the analysis results.

[0018] In summary, the advantages of the present invention are that it can obtain air quality data from multiple sampling areas in the core surgical area and surrounding areas, store the data to form a continuous air quality line chart, and truly restore the overall air quality picture throughout the day. It also monitors the impact of personnel entry and exit, different surgical types, different cleaning methods, and different material distribution methods on air quality. Through data analysis, it can obtain a better solution for air quality management. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic flow chart of the dynamic monitoring and analysis method of the present invention;

[0020] Figure 2 Schematic diagram of the sampling area in the operating room. DETAILED DESCRIPTION

[0021] The present invention will be further described below with reference to the accompanying drawings and given embodiments, but the present invention is not limited thereto.

[0022] like Figure 1 、 2 As shown, a method for dynamic monitoring and analysis of air quality in an operating room comprises the following specific steps:

[0023] Step S1: Create multiple sampling areas around the operating table in the operating area to monitor air quality. Continuously collect and store the number and concentration of particles of different particle sizes in the air in different sampling areas.

[0024] Step S2: Under the premise of implementing step S1, monitor the time when the surgical staff and surgical observers pick up surgical gowns, the time when medical staff enter the operating room, and the number of times they enter and exit the operating room.

[0025] Step S3: monitor the operation start time, operation end time, cleaning time and self-cleaning time under the premise of implementing step S1.

[0026] Step S4: monitor the time when the robot enters the operating room, the time when it leaves, and the type of materials it delivers, under the premise of implementing step S1.

[0027] In step S5, based on the data collected in steps S2 to S4, the impact of different environmental changes on particulate matter in the air is analyzed. It is found that the entry and exit of visitors has the highest impact, the impact of surgical participants is medium, and robot delivery has the lowest impact on air quality. Based on this conclusion, the quality changes in the operating room are improved to achieve the purpose of improving the cleanliness of the air quality.

[0028] Further, such as Figure 2As shown, the sampling area in step S1 is the position of the operating table itself as the core area of ​​sampling, and one side of the operating table is the sampling peripheral area 1, and the other side is the sampling peripheral area 2. There are four peripheral areas around the operating table.

[0029] An air port is pre-installed on the anesthesia tower in the operating room, and the air port is connected to the air pump channel 1 through a connecting hose inside the tower, corresponding to the peripheral area 1. An air port is added to the surgical tower, and the air port is connected to the air pump channel 2 through a connecting hose inside the tower, corresponding to the peripheral area 2. An electric telescopic rod is installed on the top of the operating table, and the built-in connecting hose is connected to the air pump channel 3, corresponding to the core area.

[0030] The air in the core area and the surrounding area of ​​the operating table is collected through different air pump channels.

[0031] Furthermore, in step S1, the particle sizes of the particles in the air collected in different sampling areas include 0.3um, 0.5um, 1.0um, 3.0um, 5.0um, and 10um, and the collection frequency is 1 second / time.

[0032] Furthermore, the data collected from step S1 to step S4 are formed into an observation line graph and arranged in positive order along the time axis, and the factors affecting the air quality in the operating room are summarized to form continuous time axis data.

[0033] The present invention dynamically monitors air quality within the operating room, integrating data with a digital operating room system, a behavior management system, and a robotic delivery system. Specifically, the digital operating room system is used to enable the flow and viewing of audio and video data within the operating room, centralized control and status monitoring of operating room equipment, and viewing of surgery-related data. Sensors within the digital operating room system serve as air quality data acquisition components to collect the number and concentration of particles of varying size ranges in the core and peripheral air. Specifically, different sensors collect air quality data within corresponding air pump channels.

[0034] The behavior management system is used to manage the issuance and recovery of clothes and shoes in the operating room, monitor the time when personnel use and return clothes and shoes, and record the flow of personnel in various areas of the operating room. Personnel are verified through face, fingerprint, work card, etc., and clothes and shoes information is obtained through RFID chips attached to clothes and shoes to establish a relationship between personnel and the issuance of clothes and shoes. RFID chip reading devices are installed at key channel locations to obtain the entry and exit time of personnel, and the collected relevant data is sent to the host computer of the digital operating room system.

[0035] The robot delivery system uses a host computer to centrally control various robots in the operating room, such as logistics robots and specimen robots. The role of the robots is to automatically deliver specimens, consumables and other items instead of manual labor. The robot's task list is obtained through the data interface to know the time and type of items the robot enters and exits each operating room, and the collected relevant data is sent to the host computer of the digital operating room system.

[0036] Finally, the host computer of the digital operating room system stores and analyzes the collected data and generates an air quality line graph to restore the overall picture of the air quality in the operating room throughout the day so that effective measures can be taken to improve the air quality.

[0037] The present invention can continuously monitor the air quality data at different points, introduce influencing factors, and analyze the effects of different influencing factors. It can automatically complete multi-point data monitoring without human intervention, so that it can intuitively see the impact of influencing factors such as personnel activities and material inflow and outflow in the operating room on air quality, provide data support for improving control quality, and then adopt active means to control according to the analysis results.

[0038] In summary, the advantages of the present invention are that it can obtain air quality data from multiple sampling areas in the core surgical area and surrounding areas, store the data to form a continuous air quality line chart, and truly restore the overall air quality picture throughout the day. It also monitors the impact of personnel entry and exit, different surgical types, different cleaning methods, and different material distribution methods on air quality. Through data analysis, it can obtain a better solution for air quality management.

[0039] With the above-described preferred embodiments of the present invention as a guide, and with reference to the above description, relevant personnel are fully capable of making various changes and modifications without departing from the technical scope of this invention. The technical scope of this invention is not limited to the contents of the specification and must be determined according to the scope of the claims.

Claims

1. A method for dynamic monitoring and analysis of air quality in an operating room, characterized in that: The specific steps are: Step S1, pre-create multiple sampling areas around the operating table in the operating area for monitoring air quality, continuously collect and store the number and concentration of particles of different particle size ranges in the air in different sampling areas, Step S2, under the premise of implementing step S1, monitor the time when the surgical staff and surgical observers pick up surgical gowns, the time when the medical staff enter the operating room, and the number of times they enter and exit the operating room. Step S3, monitoring the operation start time, operation end time, cleaning time and self-cleaning time under the premise of implementing step S1, Step S4, under the premise of implementing step S1, monitor the time when the robot enters the operating room, the time when it leaves, and the type of materials delivered, Step S5, based on the data collected from steps S2 to S4, analyze the impact of different environmental changes on particulate matter in the air, and find that the impact factor of visitors entering and exiting is the highest, the impact of surgical participants is medium, and robot delivery has the lowest impact on air quality. Based on this conclusion, improve the quality changes in the operating room and achieve the purpose of improving the cleanliness of the air quality.

2. The method for dynamic monitoring and analysis of operating room air quality according to claim 1, characterized in that: The sampling area in step S1 is the core area of ​​the sampling, with the position of the operating table itself as the sampling peripheral area 1 on one side of the operating table and the sampling peripheral area 2 on the other side. An air port is added to the anesthesia tower in the operating room in advance, and the air port is connected to the air pump channel 1 through a connecting hose in the tower, and corresponds to the peripheral area 1. An air port is added to the surgical tower, and the air port is connected to the air pump channel 2 through a connecting hose in the tower, and corresponds to the peripheral area 2. An electric telescopic rod is configured on the top of the operating bed, and the built-in connecting hose is connected to the air pump channel 3, and corresponds to the core area. The air in the core area and the surrounding area of ​​the operating table is collected through different air pump channels.

3. The method for dynamic monitoring and analysis of operating room air quality according to claim 1, characterized in that: In the step S1, the particle sizes of the particles in the air collected in different sampling areas include 0.3um, 0.5um, 1.0um, 3.0um, 5.0um, and 10um, and the collection frequency is 1 second / time.

4. The method for dynamic monitoring and analysis of operating room air quality according to claim 1, characterized in that: The data collected in step S1 to step S4 form an observation line graph and are arranged in positive order on the time axis, and the factors affecting the air quality in the operating room are summarized to form continuous time axis data.

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