Operating room whole-space air real-time monitoring system based on Internet of Things

Abstract

The invention relates to the technical field of operating room monitoring, in particular to an operating room whole-space air real-time monitoring system based on the Internet of Things, which comprises a monitoring module, a data processing module, an air purification module, an analysis module and an alarm module. And when it is determined that the air in the operating room is abnormal, the data acquisition frequency of each sensor is adjusted, the air speed of the ventilation opening is adjusted, the operation power of the air filter is adjusted, or the purification duration of the disinfection equipment before the operating room is used is adjusted and increased. According to the real-time monitoring data of the air quality of the operating room, the operation parameters of the air purification module are dynamically adjusted, and the monitoring efficiency of the air in the operating room is improved.

Description

Technical Field

[0001] The present invention relates to the technical field, and particularly to a real-time monitoring system for the whole-space air in an operating room based on the Internet of Things. Background Art

[0002] Laminar flow operating rooms adopt air purification technology to control microbial contamination to varying degrees, so as to meet the requirements of controlling the air cleanliness in the space environment suitable for various surgeries, and provide appropriate temperature and humidity, creating a fresh, clean, comfortable and low-bacteria surgical space environment, so that the patient's tissue is minimally damaged during the operation and the infection rate is greatly reduced.

[0003] At present, the air self-purification before surgery in laminar flow operating rooms is generally manually controlled by nursing workers, without real-time monitoring function. The self-purification time completely depends on the set parameters of the air conditioner, and it cannot be automated and intelligentized. The cleanliness in the operating room is not recorded in real time, and it cannot reflect the influence of factors such as personnel and equipment scheduling in the operating room on the cleanliness index, and there is no correlation analysis on the subsequent influence on the patient's incision.

[0004] Chinese Patent Publication No.: CN119804247A discloses a method for dynamically monitoring and analyzing the air quality in an operating room. Multiple sampling areas for monitoring air quality are created in advance around the operating table in the surgical area, and the number of particulate matters and particle concentrations in different particle size ranges in the air in different sampling areas are continuously collected and stored. By monitoring the entry and exit of personnel, different surgical types, different cleaning methods and different material distribution methods, data support is provided for improving the control quality, and the influence of different environmental changes on the particulate matters in the air is analyzed. Furthermore, according to the analysis results, positive means can be adopted for control. It can be seen that the above technical solution has the following problems: it does not consider dynamically adjusting the operating parameters of the air purification module based on the real-time monitoring data of the air quality in the operating room, which affects the monitoring efficiency of the air in the operating room. Summary of the Invention

[0005] Therefore, the present invention provides a real-time monitoring system for the whole-space air in an operating room based on the Internet of Things to overcome the problem in the prior art that the operating parameters of the air purification module are not dynamically adjusted based on the real-time monitoring data of the air quality in the operating room, which affects the monitoring efficiency of the air in the operating room.

[0006] To achieve the above object, the present invention provides a real-time monitoring system for the whole-space air in an operating room based on the Internet of Things, including: A monitoring module, which includes a number of sensors respectively in each area of the operating room for detecting the concentration of particulate matters in the air; A data processing module, which is connected to the monitoring module and used for preprocessing the original data received by the monitoring module and removing abnormal data through a preset screening threshold range; An air purification module, which is connected to the data processing module, includes a ventilation opening for ventilation, an air filter for filtering particulate matter and microorganisms in the air, and a disinfection device for killing harmful microorganisms in the air before the operating room is used; An analysis module, which is respectively connected to the monitoring module, the data processing module, and the air purification module, is used to determine whether the air in the operating room is qualified based on the average particle density, and when it is determined that the air in the operating room is abnormal, determine the treatment method for the operating room, including adjusting the data acquisition frequency of each sensor, adjusting the wind speed of the ventilation opening, adjusting the operating power of the air filter, or adjusting and increasing the purification duration of the disinfection device before the operating room is used.

[0007] An alarm module, which is connected to the analysis module, is used to send alarm information for the abnormal sensor based on the determination result of the analysis module.

[0008] Further, the analysis module is used to determine whether the air in the operating room is qualified based on the average particle density, including: Calculate the average value of the particulate matter concentration in each area to obtain the average particle density; If the average particle density is less than or equal to the first preset average particle density, it is determined that the air in the operating room is qualified, and the monitoring module is controlled to continue operating with the current operating parameters; If the average particle density is less than or equal to the second preset average particle density and greater than the first preset average particle density, determine whether the air in the operating room is qualified in combination with the particle difference amount; If the average particle density is greater than the second preset average particle density, it is determined that the air in the operating room is abnormal, and the treatment method for the operating room is determined based on the density difference.

[0009] Further, the analysis module is used to determine whether the air in the operating room is qualified in combination with the particle difference amount, including: Calculate the variance of the particulate matter concentration in each area to obtain the particle difference amount; If the particle difference amount is less than or equal to the first preset particle difference amount, determine the treatment method for the operating room based on the density difference; If the particle difference amount is less than or equal to the second preset particle difference amount and greater than the first preset particle difference amount, adjust the data acquisition frequency of each sensor based on the particle difference amount; If the particle difference amount is greater than the first preset particle difference amount, for a single sensor, determine the maximum and minimum value difference of the particulate matter concentration within the preset monitoring duration, and solve the average value of the maximum and minimum value differences of each sensor to determine the treatment method for the abnormal situation.

[0010] Further, the analysis module is used to determine the processing method for abnormal situations based on the mean value of the maximum and minimum value differences of each sensor, including: If the mean value of the maximum and minimum value differences is less than or equal to the preset mean value, the preset screening threshold range is adjusted to the corresponding value based on the mean value of the maximum and minimum value differences; If the mean value of the maximum and minimum value differences is greater than the preset mean value, the alarm module is controlled to send an alarm message for the presence of abnormal sensors.

[0011] Further, the analysis module is used to determine the processing method for the operating room based on the density difference, including: Denote the difference between the average particle density and the second preset average particle density as the density difference; If the density difference is less than or equal to the first preset density difference, the wind speed of the ventilation opening is adjusted to the corresponding value based on the density difference; If the density difference is less than or equal to the second preset density difference and greater than the first preset density difference, the operating power of the air filter is adjusted based on the average particle density; If the density difference is greater than the second preset density difference, the purification duration of the disinfection equipment before the operating room is used is adjusted to the corresponding value based on the particle difference amount.

[0012] Further, the analysis module is used to adjust the data acquisition frequency of each sensor based on the particle difference amount, where The increase amplitude of the data acquisition frequency of each sensor is proportional to the particle difference amount.

[0013] Further, the analysis module is used to adjust the preset screening threshold range to the corresponding value based on the mean value of the maximum and minimum value differences, where The reduction amplitude of the preset screening threshold range is proportional to the mean value of the maximum and minimum value differences.

[0014] Further, the analysis module is used to adjust the wind speed of the ventilation opening to the corresponding value based on the density difference, where The increase amplitude of the wind speed of the ventilation opening is proportional to the density difference.

[0015] Further, the analysis module is used to adjust the operating power of the air filter based on the average particle density, where The increase amplitude of the operating power of the air filter is proportional to the average particle density.

[0016] Further, the analysis module is used to adjust the purification duration of the disinfection equipment before the operating room is used to the corresponding value based on the particle difference amount, where The increase amplitude of the purification duration is proportional to the particle difference amount.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: By connecting the monitoring module, data processing module, and air purification module through the Internet of Things technology, it is possible to obtain the particle density data of each area in the operating room in real time and timely reflect the changes in air quality.

[0018] Furthermore, the data processing module preprocesses the collected data to remove abnormal data, improving the accuracy of the data.

[0019] Furthermore, the air purification module can automatically adjust parameters such as the air outlet wind speed and the operating power of the filter according to instructions, realizing intelligent control of the air quality in the operating room. When the air quality is unqualified, the system can automatically take corresponding measures to improve it, reducing manual intervention and improving work efficiency.

[0020] Furthermore, for data processing anomalies and sensor anomalies, the system can automatically identify them and take corresponding processing measures. Raising the data screening standard, checking and calibrating sensors, etc., ensures the stability and reliability of the system.

[0021] Furthermore, by real-time monitoring and effectively purifying the air in the operating room, the content of harmful particles in the air is reduced, the risk of surgical infection is decreased, and the surgical safety and postoperative recovery of patients are guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a block diagram of the module of the real-time air monitoring system for the entire space of the operating room based on the Internet of Things according to an embodiment of the present invention; Figure 2 It is a logical decision diagram for analyzing whether the air in the operating room is qualified based on the average particle density according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0024] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0025] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0026] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] Please refer to Figure 1 and Figure 2 as shown, which are respectively the module block diagram of the real-time air monitoring system for the entire operating room space based on the Internet of Things in the embodiment of the present invention, and the logical determination diagram for the analysis module to determine whether the air in the operating room is qualified based on the average particle density; an embodiment of the present invention provides a real-time air monitoring system for the entire operating room space based on the Internet of Things, including: A monitoring module, which includes a plurality of sensors respectively in each area of the operating room for detecting the concentration of particulate matter in the air; A data processing module, which is connected to the monitoring module and is used for preprocessing the original data received by the monitoring module, and removing abnormal data through a preset screening threshold range; An air purification module, which is connected to the data processing module and includes a ventilation opening for ventilation, an air filter for filtering particulate matter and microorganisms in the air, and a disinfection device for killing harmful microorganisms in the air before the operating room is used; An analysis module, which is respectively connected to the monitoring module, the data processing module, and the air purification module, and is used for determining whether the air in the operating room is qualified based on the average particle density, and when it is determined that the air in the operating room is abnormal, determining the treatment method for the operating room, including adjusting the data acquisition frequency of each sensor, adjusting the wind speed of the ventilation opening, adjusting the operating power of the air filter, or adjusting and increasing the purification duration of the disinfection device before the operating room is used.

[0028] An alarm module, which is connected to the analysis module and is used for sending an alarm message for the abnormal sensor based on the determination result of the analysis module.

[0029] Specifically, the analysis module is used for determining whether the air in the operating room is qualified based on the average particle density, including: Calculating the average value of the particulate matter concentration in each area to obtain the average particle density; If the average particle density is less than or equal to the first preset average particle density, it is determined that the air in the operating room is qualified, and the monitoring module is controlled to continue running with the current operating parameters; If the average particle density is less than or equal to the second preset average particle density and greater than the first preset average particle density, determine whether the air in the operating room is qualified in combination with the particle difference amount; If the average particle density is greater than the second preset average particle density, determine that the air in the operating room is abnormal, and determine the treatment method for the operating room based on the density difference.

[0030] Specifically, the analysis module is used to determine whether the air in the operating room is qualified in combination with the particle difference amount, including: Calculate the variance of the particulate matter concentration in each area to obtain the particle difference amount; If the particle difference amount is less than or equal to the first preset particle difference amount, determine the treatment method for the operating room based on the density difference; If the particle difference amount is less than or equal to the second preset particle difference amount and greater than the first preset particle difference amount, adjust the data acquisition frequency of each sensor based on the particle difference amount; If the particle difference amount is greater than the first preset particle difference amount, for a single sensor, determine the maximum and minimum difference of the particulate matter concentration within the preset monitoring duration, and solve the average value of the maximum and minimum differences of each sensor to determine the treatment method for the abnormal situation.

[0031] Specifically, the analysis module is used to determine the treatment method for the abnormal situation based on the average value of the maximum and minimum differences of each sensor, including: If the average value of the maximum and minimum differences is less than or equal to the preset average value, adjust the preset screening threshold range to the corresponding value based on the average value of the maximum and minimum differences; If the average value of the maximum and minimum differences is greater than the preset average value, control the alarm module to send an alarm message for the abnormal sensor.

[0032] Specifically, the analysis module is used to determine the treatment method for the operating room based on the density difference, including: Record the difference between the average particle density and the second preset average particle density as the density difference; If the density difference is less than or equal to the first preset density difference, adjust the wind speed of the ventilation opening to the corresponding value based on the density difference; If the density difference is less than or equal to the second preset density difference and greater than the first preset density difference, adjust the operating power of the air filter based on the average particle density; If the density difference is greater than the second preset density difference, adjust the purification duration of the disinfection equipment before using the operating room to the corresponding value based on the particle difference amount.

[0033] Specifically, the analysis module is used to adjust the data acquisition frequency of each sensor based on the particle difference amount, where The increase amplitude of the data acquisition frequency of each sensor is proportional to the particle difference amount.

[0034] Specifically, the analysis module is used to adjust the preset screening threshold range to the corresponding value based on the average value of the maximum - minimum difference, where the reduction amplitude of the preset screening threshold range is proportional to the average value of the maximum - minimum difference.

[0035] Specifically, the analysis module is used to adjust the air velocity of the ventilation opening to the corresponding value based on the density difference, where the increase amplitude of the air velocity of the ventilation opening is proportional to the density difference.

[0036] Specifically, the analysis module is used to adjust the operating power of the air filter based on the average particle density, where the increase amplitude of the operating power of the air filter is proportional to the average particle density.

[0037] Specifically, the analysis module is used to adjust the purification duration of the disinfection equipment before the operation room is used to the corresponding value based on the particle difference amount, where the increase amplitude of the purification duration is proportional to the particle difference amount.

[0038] Connecting the monitoring module, the data - processing module and the air - purification module through the Internet of Things technology can obtain the particle density data of each area in the operation room in real time and timely reflect the change of the air quality.

[0039] Specifically, the data - processing module pre - processes the collected data, removes abnormal data, and improves the accuracy of the data.

[0040] Specifically, the air - purification module can automatically adjust parameters such as the air velocity of the exhaust port and the operating power of the filter according to instructions, realizing the intelligent control of the air quality in the operation room. When the air quality is unqualified, the system can automatically take corresponding measures to improve it, reducing manual intervention and improving work efficiency.

[0041] Specifically, for data - processing anomalies and sensor anomalies, the system can automatically identify them and take corresponding processing measures. Improving the data screening standard, checking and calibrating sensors, etc., ensures the stability and reliability of the system.

[0042] Specifically, by real - time monitoring and effectively purifying the air in the operation room, the content of harmful particles in the air is reduced, the risk of surgical infection is decreased, and the surgical safety and postoperative recovery of patients are guaranteed. So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easily understood by those skilled in the art that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0043] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An operating room full-space air real-time monitoring system based on the Internet of Things, characterized in that, Comprising: A monitoring module, which includes several sensors respectively in each area of the operating room for detecting the concentration of particulate matter in the air; A data processing module, which is connected to the monitoring module, used to preprocess the original data received by the monitoring module, and remove abnormal data through a preset screening threshold range; An air purification module, which is connected to the data processing module, including a ventilation opening for ventilation, an air filter for filtering particulate matter and microorganisms in the air, and a disinfection device for killing harmful microorganisms in the air before the operating room is used; An analysis module, which is respectively connected to the monitoring module, the data processing module and the air purification module, used to determine whether the air in the operating room is qualified based on the average particle density, and when it is determined that the air in the operating room is abnormal, determine the treatment method for the operating room, including adjusting the data acquisition frequency of each sensor, adjusting the wind speed of the ventilation opening, adjusting the operating power of the air filter or adjusting and increasing the purification duration of the disinfection device before the operating room is used. An alarm module, which is connected to the analysis module, used to send an alarm message for the abnormal sensor based on the determination result of the analysis module.

2. The real-time air monitoring system for the entire operating room space based on the Internet of Things according to claim 1, wherein The analysis module is used to determine whether the air in the operating room is qualified based on the average particle density, including: Calculating the average value of the particulate matter concentration in each area to obtain the average particle density; If the average particle density is less than or equal to the first preset average particle density, it is determined that the air in the operating room is qualified, and the monitoring module is controlled to continue running with the current operating parameters; If the average particle density is less than or equal to the second preset average particle density and greater than the first preset average particle density, it is determined whether the air in the operating room is qualified in combination with the particle difference amount; If the average particle density is greater than the second preset average particle density, it is determined that the air in the operating room is abnormal, and the treatment method for the operating room is determined based on the density difference.

3. The real-time air monitoring system for the entire operating room space based on the Internet of Things according to claim 2, wherein The analysis module is used to determine whether the air in the operating room is qualified in combination with the particle difference amount, including: Calculating the variance of the particulate matter concentration in each area to obtain the particle difference amount; If the particle difference amount is less than or equal to the first preset particle difference amount, the treatment method for the operating room is determined based on the density difference; If the particle difference amount is less than or equal to the second preset particle difference amount and greater than the first preset particle difference amount, the data acquisition frequency of each sensor is adjusted based on the particle difference amount; If the particle difference amount is greater than the first preset particle difference amount, for a single sensor, determine the maximum and minimum difference values of the particulate matter concentration within the preset monitoring duration, and solve the average value of the maximum and minimum difference values of each sensor to determine the treatment method for the abnormal situation.

4. The real-time monitoring system for the whole-space air in the operating room based on the Internet of Things according to claim 3, wherein The analysis module is used to determine the treatment method for the abnormal situation based on the average value of the maximum and minimum difference values of each sensor, including: If the average value of the maximum and minimum difference values is less than or equal to the preset average value, adjust the preset screening threshold range to the corresponding value based on the average value of the maximum and minimum difference values; If the average value of the maximum and minimum difference values is greater than the preset average value, control the alarm module to send an alarm message for the abnormal sensor.

5. The real-time monitoring system for the whole-space air in the operating room based on the Internet of Things according to claim 4, characterized in that The analysis module is used to determine the treatment method for the operating room based on the density difference, including: Denote the difference between the average particle density and the second preset average particle density as the density difference; If the density difference is less than or equal to the first preset density difference, the wind speed of the ventilation opening is adjusted to the corresponding value based on the density difference; If the density difference is less than or equal to the second preset density difference and greater than the first preset density difference, the operating power of the air filter is adjusted based on the average particle density; If the density difference is greater than the second preset density difference, the purification duration of the disinfection equipment before the operation room is used is adjusted to the corresponding value based on the particle difference amount.

6. The real-time monitoring system for the whole space air in the operating room based on the Internet of Things according to claim 5, characterized in that, The analysis module is used to adjust the data acquisition frequency of each sensor based on the particle difference amount, where the increase amplitude of the data acquisition frequency of each sensor is proportional to the particle difference amount.

7. The real-time monitoring system for the whole space air in the operating room based on the Internet of Things according to claim 6, characterized in that, The analysis module is used to adjust the preset screening threshold range to the corresponding value based on the mean value of the maximum and minimum difference values, where the reduction amplitude of the preset screening threshold range is proportional to the mean value of the maximum and minimum difference values.

8. The real-time monitoring system for the whole-space air in the operating room based on the Internet of Things according to claim 7, wherein, The analysis module is used to adjust the wind speed of the ventilation opening to the corresponding value based on the density difference, where the increase amplitude of the wind speed of the ventilation opening is proportional to the density difference.

9. The real-time monitoring system for the whole-space air in the operating room based on the Internet of Things according to claim 8, characterized in that, The analysis module is used to adjust the operating power of the air filter based on the average particle density, where the increase amplitude of the operating power of the air filter is proportional to the average particle density.

10. The real-time monitoring system for the whole space air in the operating room based on the Internet of Things according to claim 9, characterized in that, The analysis module is used to adjust the purification duration of the disinfection equipment before the operation room is used to the corresponding value based on the particle difference amount, where the increase amplitude of the purification duration is proportional to the particle difference amount.

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