A control method, control system and computer storage medium for a hyperbaric oxygen chamber

Abstract

The present invention relates to the field of intelligent control technology, and discloses a control method, control system and computer storage medium for a hyperbaric oxygen chamber, the method comprising: collecting oxygen concentrations at several points in the hyperbaric oxygen chamber, establishing an oxygen concentration data set to obtain a concentration mean; comparing each oxygen concentration data in the oxygen concentration data set with a minimum concentration threshold to determine whether to control the air intake of the hyperbaric oxygen chamber; when it is determined that the air intake is controlled, comparing the concentration mean with the minimum concentration threshold to determine the type of air replenishment, and determining the total amount of air replenishment according to the concentration difference; after determining the total amount of air replenishment, combining the oxygen concentration data set and the distance between each oxygen concentration data and the air inlet to obtain a comprehensive missing value; analyzing with historical air replenishment data to determine the air replenishment rate; and replenishing the hyperbaric oxygen chamber according to the total amount of air replenishment, the type of air replenishment and the air replenishment rate. The present application improves the accuracy of oxygen replenishment and enhances the intelligence and automation level of the hyperbaric oxygen chamber.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a control method, a control system and a computer storage medium of a hyperbaric oxygen chamber. Background Art

[0002] Hyperbaric Oxygen Therapy (HBOT) is widely used in oxygen therapy in medicine, diving, mountaineering, and some special environments. It helps improve oxygen delivery, promote wound healing, relieve fatigue, enhance immunity, etc. by providing an oxygen environment with a pressure higher than the normal atmospheric pressure in a closed chamber. Oxygen concentration is a key factor in ensuring the efficacy of hyperbaric oxygen. Maintaining an appropriate oxygen concentration in the chamber is crucial to the success and safety of treatment. However, in actual applications, the oxygen distribution inside the hyperbaric oxygen chamber is often uneven, and the oxygen concentration in the chamber is affected by many factors, such as airflow pattern, cabin shape, air inlet position, etc., resulting in oxygen concentration in some areas being lower than the level required for treatment, affecting the treatment effect and may even bring health risks.

[0003] At present, many hyperbaric oxygen chambers rely on simple manual adjustment of the air intake flow and regular inspection of the oxygen concentration in the chamber to ensure that the oxygen concentration is maintained within a relatively stable range. However, traditional monitoring methods have many limitations. Since the oxygen concentration is affected by many factors, manual adjustment cannot achieve precise control and real-time response to the oxygen concentration in the cabin. The uneven distribution of oxygen concentration is often difficult to fully reflect through single-point concentration measurement or average value, and more sophisticated monitoring and adjustment methods are required. Traditional gas replenishment methods are usually based on the assumptions of timed replenishment and fixed flow, and cannot dynamically adjust the gas replenishment rate and gas replenishment volume according to the real-time oxygen demand in the cabin, resulting in waste of resources or insufficient gas replenishment.

[0004] Therefore, it is necessary to design a control method, control system and computer storage medium of a hyperbaric oxygen chamber to solve the problems existing in the current technology. Summary of the invention

[0005] In view of this, the present invention proposes a control method, a control system and a computer storage medium for a hyperbaric oxygen chamber, aiming to solve the problems that the current oxygen concentration detection accuracy in the hyperbaric oxygen chamber is low and cannot fully reflect the internal situation, and the oxygen concentration adjustment effect is poor.

[0006] In one aspect, the present invention provides a control method for a hyperbaric oxygen chamber, comprising:

[0007] Collecting oxygen concentrations at a plurality of points in the hyperbaric oxygen chamber, establishing an oxygen concentration data set, and obtaining a concentration mean value according to the oxygen concentration data set;

[0008] Comparing each oxygen concentration data in the oxygen concentration data set with a minimum concentration threshold, and determining whether to control the air intake of the hyperbaric oxygen chamber according to the comparison result;

[0009] When it is determined that the intake is to be controlled, the concentration mean is compared with the minimum concentration threshold, the type of air supplement is determined according to the comparison result, and the total amount of air supplement is determined according to the concentration difference;

[0010] After the total amount of air replenishment is determined, the oxygen concentration data set and the distance between each oxygen concentration data and the air inlet are combined to obtain a comprehensive missing value; the comprehensive missing value is analyzed with the historical air replenishment data to determine the air replenishment rate;

[0011] The hyperbaric oxygen chamber is replenished with air according to the total amount of air replenishment, the type of air replenishment and the air replenishment rate.

[0012] Further, judging whether to control the air intake of the hyperbaric oxygen chamber according to the comparison result includes:

[0013] When each oxygen concentration data in the oxygen concentration data set is greater than or equal to a minimum concentration threshold, determining not to control the air intake of the hyperbaric oxygen chamber;

[0014] When there is oxygen concentration data in the oxygen concentration data set that is less than a minimum concentration threshold, it is determined to control the hyperbaric oxygen chamber.

[0015] Furthermore, comparing the concentration mean with the minimum concentration threshold, and determining the gas supplement type according to the comparison result, includes:

[0016] When the concentration mean is less than the minimum concentration threshold, determining to use oxygen as the gas supplement type;

[0017] When the concentration average is greater than or equal to the minimum concentration threshold, it is determined that compressed air is used as the air supplement type.

[0018] Furthermore, when the total amount of gas supplementation is determined according to the concentration difference, it includes:

[0019] Obtaining a concentration difference value according to the concentration mean value and the minimum concentration threshold, wherein the concentration difference value is the difference between the minimum concentration threshold value and the concentration mean value;

[0020] The concentration difference is compared with a first preset concentration difference and a second preset concentration difference respectively, and the total amount of gas replenishment is determined according to the comparison result, the first preset concentration difference is less than the second preset concentration difference; when the concentration difference is less than or equal to the first preset concentration difference, the total amount of gas replenishment is determined to be the first preset total amount of gas replenishment; when the concentration difference is greater than the first preset concentration difference and less than or equal to the second preset concentration difference, the total amount of gas replenishment is determined to be the second preset total amount of gas replenishment; when the concentration difference is greater than the second preset concentration difference, the total amount of gas replenishment is determined to be the third preset total amount of gas replenishment; the first preset total amount of gas replenishment is less than the second preset total amount of gas replenishment, and the second preset total amount of gas replenishment is less than the third preset total amount of gas replenishment.

[0021] Further, the oxygen concentration data set and the distance between each oxygen concentration data and the air inlet are combined to obtain a comprehensive missing value, including:

[0022] The comprehensive missing value is calculated by the following formula:

[0023] ;

[0024] Among them, Q represents the comprehensive missing value, Cmin represents the minimum oxygen concentration threshold, Ci represents the oxygen concentration of the i-th measuring point, di represents the distance from the i-th measuring point to the air inlet, Dmax represents the maximum measurement distance in the hyperbaric oxygen chamber, p represents the distance attenuation exponent, and n represents the total number of measuring points in the chamber.

[0025] Furthermore, the distance attenuation index is calculated by the following formula:

[0026] ;

[0027] Where p represents the distance attenuation exponent, and davg represents the average distance from all measurement points in the cabin to the air inlet.

[0028] Furthermore, the comprehensive missing value is analyzed with the historical gas replenishment data to determine the gas replenishment rate, including:

[0029] When the historical gas replenishment data contains data identical to the comprehensive missing value, the historical gas replenishment rate in the historical gas replenishment data is used as the gas replenishment rate;

[0030] When there is no data identical to the comprehensive missing value in the historical gas replenishment data, the historical gas replenishment data corresponding to the historical comprehensive missing value with the smallest difference from the comprehensive missing value is selected as the initial gas replenishment rate, and the initial gas replenishment rate is adjusted to obtain the gas replenishment rate.

[0031] Further, the initial gas replenishment rate is adjusted to obtain the gas replenishment rate, including:

[0032] A missing value difference is obtained based on the comprehensive missing value and the historical comprehensive missing value, and the missing value difference is the difference between the comprehensive missing value and the historical comprehensive missing value. An adjustment coefficient is determined based on the missing value difference to adjust the initial gas replenishment rate, and the adjustment coefficient is proportional to the missing value difference.

[0033] Compared with the prior art, the beneficial effect of the present invention is that: by collecting and analyzing the oxygen concentration data of multiple points in the hyperbaric oxygen chamber, an oxygen concentration data set is established, and the concentration mean is calculated by processing the data set to achieve real-time monitoring of the oxygen concentration in the chamber. Different from the traditional manual adjustment method, it automatically determines whether the oxygen intake needs to be adjusted according to the comparison result of the oxygen concentration and the minimum concentration threshold, and determines the total amount of air replenishment according to the concentration difference. By combining the distance between the oxygen concentration at each point and the air inlet, the air replenishment scheme is further optimized, the comprehensive missing value is generated, the historical air replenishment data is analyzed, and the air replenishment rate is dynamically determined to ensure that the oxygen concentration in each area of ​​the hyperbaric oxygen chamber is maintained within the ideal range. The accuracy of oxygen replenishment is improved, and the waste of resources is avoided. Through the comprehensive analysis of real-time data, the oxygen concentration of the hyperbaric oxygen chamber is ensured to be more uniform, and the treatment effect and safety are improved. At the same time, the automated control method reduces the frequency of manual intervention and enhances the intelligence and automation level of the hyperbaric oxygen chamber.

[0034] On the other hand, the present application also provides a control system for a hyperbaric oxygen chamber, which is used to apply the above control method, including:

[0035] a collection unit configured to collect oxygen concentrations at a plurality of points in the hyperbaric oxygen chamber, establish an oxygen concentration data set, and obtain a concentration mean value according to the oxygen concentration data set;

[0036] a judgment unit configured to compare each oxygen concentration data in the oxygen concentration data set with a minimum concentration threshold, and judge whether to control the air intake of the hyperbaric oxygen chamber according to the comparison result; when it is determined that the air intake is to be controlled, compare the concentration mean with the minimum concentration threshold, determine the type of air supplementation according to the comparison result, and determine the total amount of air supplementation according to the concentration difference;

[0037] The processing unit is configured to combine the oxygen concentration data set and the distance between each oxygen concentration data and the air inlet to obtain a comprehensive missing value after determining the total amount of air supplementation; analyze the comprehensive missing value with the historical air supplementation data to determine the air supplementation rate;

[0038] The gas replenishment unit is configured to replenish gas to the hyperbaric oxygen chamber according to the total gas replenishment amount, gas replenishment type and gas replenishment rate.

[0039] On the other hand, the present application also provides a computer storage medium on which a computer program is stored; the computer program is executed by a processor to implement the above-mentioned control method of the hyperbaric oxygen chamber.

[0040] It is understandable that the control method, control system and computer storage medium of the hyperbaric oxygen chamber mentioned above have the same beneficial effects and will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0042] Figure 1 A flow chart of a method for controlling a hyperbaric oxygen chamber provided in an embodiment of the present invention;

[0043] Figure 2 This is a functional block diagram of a hyperbaric oxygen chamber control system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0044] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0045] In some embodiments of the present application, see Figure 1 As shown, a control method of a hyperbaric oxygen chamber comprises:

[0046] S100: collecting oxygen concentrations at several points in the hyperbaric oxygen chamber, establishing an oxygen concentration data set, and obtaining a concentration mean value according to the oxygen concentration data set;

[0047] S200: comparing each oxygen concentration data in the oxygen concentration data set with the minimum concentration threshold, and determining whether to control the air intake of the hyperbaric oxygen chamber according to the comparison result;

[0048] S300: when it is determined that the intake air is to be controlled, the concentration mean value is compared with the minimum concentration threshold value, the air supply type is determined according to the comparison result, and the total amount of air supply is determined according to the concentration difference;

[0049] S400: After the total amount of air replenishment is determined, the oxygen concentration data set and the distance between each oxygen concentration data and the air inlet are combined to obtain a comprehensive missing value; the comprehensive missing value is analyzed with the historical air replenishment data to determine the air replenishment rate;

[0050] S500: replenishing air to the hyperbaric oxygen chamber according to the total amount of air replenishment, the type of air replenishment, and the air replenishment rate.

[0051] Specifically, in S100, multiple oxygen concentration sensors are set in the hyperbaric oxygen chamber to collect oxygen concentration data at different locations. These data constitute an oxygen concentration data set. Using these data, the mean oxygen concentration is calculated, and this mean reflects the overall oxygen level in the chamber. In S200, each oxygen concentration value in the data set is compared with the set minimum concentration threshold. The minimum concentration threshold is the preset lower limit of oxygen concentration. If it is lower than this threshold, it means that the oxygen concentration does not meet the treatment requirements. If the comparison result shows that the oxygen concentration in some areas is lower than the threshold, it is automatically determined that the oxygen intake needs to be controlled. In S300, when it is determined that air supplementation is needed, the difference between the concentration mean and the minimum concentration threshold is calculated to determine the degree of oxygen deficiency, thereby calculating the total amount of air supplementation required. According to different oxygen concentration differences, the type of air supplementation (such as intermittent air supplementation, continuous air supplementation, etc.) is determined to ensure that the air supplementation process meets different needs. In S400, after determining the total amount of air supplementation, the distance of each measurement point and the relative position of the air inlet will be further considered. By combining the oxygen concentration data and the distance information, the comprehensive missing value is calculated to quantify the oxygen deficiency at each point in the cabin. The comprehensive missing values ​​will be compared and analyzed with the historical gas replenishment data. Based on the gas replenishment trend of the historical data, the optimal gas replenishment rate will be determined to ensure that the oxygen replenishment process is both efficient and energy-saving. In S500, based on the calculated total gas replenishment amount, gas replenishment type and gas replenishment rate, the system will automatically adjust the intake system of the hyperbaric oxygen chamber to replenish the required amount of oxygen. It is fully automated without manual intervention, which improves the accuracy and efficiency of oxygen regulation.

[0052] It is understandable that accurate control of oxygen concentration in the hyperbaric oxygen chamber is achieved through oxygen concentration monitoring and dynamic adjustment mechanism. Traditional hyperbaric oxygen chamber adjustment methods often rely on manual operation and simple timed air replenishment, which is prone to oxygen waste or insufficient concentration. In contrast, the present embodiment can monitor the oxygen concentration in each area of ​​the cabin in real time, and automatically determine whether air replenishment is needed based on concentration data and the minimum threshold, and accurately calculate the required air replenishment amount and air replenishment rate, ensuring that oxygen supplementation not only meets treatment needs, but also avoids excessive air replenishment and reduces energy waste. By introducing comprehensive missing values ​​and historical data analysis, the air replenishment strategy can be flexibly adjusted according to the oxygen demand in different areas and the oxygen distribution in the cabin, so that the oxygen concentration in each area can be maintained within the optimal range. Improve the accuracy and safety of treatment and reduce the workload of operators. Effectively improve the therapeutic effect of the hyperbaric oxygen chamber.

[0053] In some embodiments of the present application, when judging whether to control the air intake of the hyperbaric oxygen chamber based on the comparison result, it includes: when each oxygen concentration data in the oxygen concentration data set is greater than or equal to the minimum concentration threshold, it is determined that the air intake of the hyperbaric oxygen chamber is not controlled; when there is oxygen concentration data in the oxygen concentration data set that is less than the minimum concentration threshold, it is determined that the hyperbaric oxygen chamber is controlled.

[0054] In some embodiments of the present application, the concentration mean is compared with the minimum concentration threshold, and the gas supplement type is determined according to the comparison result, including: when the concentration mean is less than the minimum concentration threshold, oxygen is determined as the gas supplement type; when the concentration mean is greater than or equal to the minimum concentration threshold, compressed air is determined as the gas supplement type.

[0055] In some embodiments of the present application, when determining the total amount of supplemental gas according to the concentration difference, it includes: obtaining a concentration difference according to the concentration mean and the minimum concentration threshold, the concentration difference being the difference between the minimum concentration threshold and the concentration mean;

[0056] The concentration difference is compared with the preset first preset concentration difference and the second preset concentration difference respectively, and the total amount of gas supplement is determined according to the comparison result. The first preset concentration difference is less than the second preset concentration difference; when the concentration difference is less than or equal to the first preset concentration difference, the total amount of gas supplement is determined to be the first preset total amount of gas supplement; when the concentration difference is greater than the first preset concentration difference and less than or equal to the second preset concentration difference, the total amount of gas supplement is determined to be the second preset total amount of gas supplement; when the concentration difference is greater than the second preset concentration difference, the total amount of gas supplement is determined to be the third preset total amount of gas supplement; the first preset total amount of gas supplement is less than the second preset total amount of gas supplement, and the second preset total amount of gas supplement is less than the third preset total amount of gas supplement.

[0057] Specifically, in the oxygen concentration data set, if the oxygen concentration of all collection points is greater than or equal to the minimum concentration threshold, it means that the oxygen concentration has reached or exceeded the treatment requirements, and it is determined that there is no need to adjust the intake, that is, no intake control is performed. If the concentration of any point in the oxygen concentration data set is lower than the minimum concentration threshold, it is determined that the intake of the hyperbaric oxygen chamber needs to be controlled to ensure that the oxygen concentration in the chamber is improved to meet the treatment needs. When determining whether air supplementation is needed, the concentration mean is compared with the minimum concentration threshold. If the concentration mean is less than the minimum concentration threshold, it means that the oxygen concentration is insufficient and oxygen supplementation is required, and it is decided to use oxygen as the type of air supplement. If the concentration mean is greater than or equal to the minimum concentration threshold, it means that the oxygen concentration is basically sufficient, and compressed air is used as the type of air supplement to avoid unnecessary waste of oxygen and improve efficiency.

[0058] It is understandable that by introducing a multi-level preset concentration difference and an incremental design of the total amount of gas replenishment, oxygen replenishment is made more refined and hierarchical. Different concentration differences correspond to different total amounts of gas replenishment, ensuring that the gas replenishment operation is more precise and avoiding the risk of oxygen waste or insufficient treatment. At the same time, the dynamic selection of oxygen type (switching between oxygen and compressed air) effectively optimizes the use of energy, while ensuring the treatment effect, it can also reduce unnecessary energy consumption and improve the energy utilization efficiency of the system. By refining the embodiments, the gas replenishment process is no longer a single fixed flow gas replenishment, but dynamically adjusts the gas replenishment volume and type according to the actual oxygen demand, making the gas replenishment more flexible, intelligent and efficient.

[0059] In some embodiments of the present application, combining the oxygen concentration data set and each oxygen concentration data with the distance of the air inlet to obtain a comprehensive missing value includes:

[0060] The comprehensive missing value is calculated by the following formula:

[0061] ;

[0062] Among them, Q represents the comprehensive missing value, Cmin represents the minimum oxygen concentration threshold, Ci represents the oxygen concentration of the i-th measuring point, di represents the distance from the i-th measuring point to the air inlet, Dmax represents the maximum measurement distance in the hyperbaric oxygen chamber, p represents the distance attenuation exponent, and n represents the total number of measuring points in the chamber.

[0063] In some embodiments of the present application, the distance decay index is calculated by the following formula:

[0064] ;

[0065] Where p represents the distance attenuation exponent, and davg represents the average distance from all measurement points in the cabin to the air inlet.

[0066] Specifically, the calculation of the comprehensive missing value is refined by combining the oxygen concentration data set and the distance information between each oxygen concentration data and the air inlet. The comprehensive missing value is a quantitative indicator to measure the degree of insufficient oxygen concentration at each point in the cabin, taking into account the oxygen concentration at each measurement point, the distance between the point and the air inlet, and the oxygen distribution in the entire cabin. By introducing the distance attenuation index, the distribution characteristics of oxygen in space are reflected, especially the attenuation of oxygen concentration in areas far away from the air inlet, so as to more accurately adjust the air replenishment strategy.

[0067] It is understandable that the calculation formula of the comprehensive missing value combines the lack of oxygen concentration with the spatial location, dynamically reflecting the oxygen demand in different areas. By comprehensively analyzing the oxygen concentration, the location of the measurement point and the distance attenuation index, the degree of oxygen deficiency in each area can be accurately calculated, avoiding the extensive adjustment that relies solely on concentration data, and improving the accuracy and efficiency of gas replenishment.

[0068] In some embodiments of the present application, the comprehensive missing value and the historical gas replenishment data are analyzed to determine the gas replenishment rate, including: when there is data identical to the comprehensive missing value in the historical gas replenishment data, the historical gas replenishment rate in the historical gas replenishment data is used as the gas replenishment rate; when there is no data identical to the comprehensive missing value in the historical gas replenishment data, the historical gas replenishment data corresponding to the historical comprehensive missing value with the smallest difference with the comprehensive missing value is selected as the initial gas replenishment rate, and the initial gas replenishment rate is adjusted to obtain the gas replenishment rate.

[0069] In some embodiments of the present application, the initial gas replenishment rate is adjusted to obtain the gas replenishment rate, including: obtaining the missing value difference based on the comprehensive missing value and the historical comprehensive missing value, the missing value difference is the difference between the comprehensive missing value and the historical comprehensive missing value, and determining the adjustment coefficient based on the missing value difference to adjust the initial gas replenishment rate, and the adjustment coefficient is proportional to the missing value difference.

[0070] It is understandable that by comprehensively considering the current degree of insufficient oxygen concentration (comprehensive missing values) and the gas replenishment rate of historical data, the gas replenishment rate can be dynamically adjusted to adapt to different oxygen demands in the cabin. Intelligent adjustment based on historical experience avoids excessive or insufficient gas replenishment, ensuring that the gas replenishment process is more efficient and stable. By introducing the adjustment coefficient, the gas replenishment rate can be fine-tuned according to the missing value difference, so as to achieve flexible response to changes in oxygen concentration. Especially in the face of large changes in oxygen demand, the introduction of the adjustment coefficient allows the gas replenishment rate to adapt to new demands more quickly. By utilizing historical data and a dynamic adjustment mechanism, the gas replenishment rate can be automatically optimized according to different situations, thereby reducing human intervention and improving operational efficiency and accuracy.

[0071] In the above embodiment, by collecting and analyzing the oxygen concentration data of multiple points in the hyperbaric oxygen chamber, an oxygen concentration data set is established, and the concentration mean is calculated by processing the data set to achieve real-time monitoring of the oxygen concentration in the chamber. Different from the traditional manual adjustment method, it is automatically determined whether the oxygen intake needs to be adjusted according to the comparison result of the oxygen concentration and the minimum concentration threshold, and the total amount of air replenishment is determined according to the concentration difference. By combining the distance between the oxygen concentration at each point and the air inlet, the air replenishment scheme is further optimized, the comprehensive missing value is generated, the historical air replenishment data is analyzed, and the air replenishment rate is dynamically determined to ensure that the oxygen concentration in each area of ​​the hyperbaric oxygen chamber is maintained within the ideal range. The accuracy of oxygen replenishment is improved, and the waste of resources is avoided. Through the comprehensive analysis of real-time data, the oxygen concentration of the hyperbaric oxygen chamber is ensured to be more uniform, and the treatment effect and safety are improved. At the same time, the automated control method reduces the frequency of manual intervention and enhances the intelligence and automation level of the hyperbaric oxygen chamber.

[0072] In another preferred embodiment based on the above embodiment, refer to Figure 2 As shown, this embodiment provides a control system of a hyperbaric oxygen chamber, which is used to apply the above control method, including:

[0073] A collection unit is configured to collect oxygen concentrations at a plurality of points in the hyperbaric oxygen chamber, establish an oxygen concentration data set, and obtain a concentration mean value according to the oxygen concentration data set;

[0074] a judgment unit configured to compare each oxygen concentration data in the oxygen concentration data set with the minimum concentration threshold, and judge whether to control the air intake of the hyperbaric oxygen chamber according to the comparison result; when it is determined that the air intake is controlled, compare the concentration mean with the minimum concentration threshold, determine the air supplement type according to the comparison result, and determine the total amount of air supplement according to the concentration difference;

[0075] The processing unit is configured to combine the oxygen concentration data set and the distance between each oxygen concentration data and the air inlet to obtain a comprehensive missing value after determining the total amount of air replenishment; analyze the comprehensive missing value with the historical air replenishment data to determine the air replenishment rate;

[0076] The gas replenishment unit is configured to replenish gas to the hyperbaric oxygen chamber according to the total amount of gas replenishment, the type of gas replenishment and the gas replenishment rate.

[0077] On the other hand, the present application also provides a computer storage medium on which a computer program is stored; the computer program is executed by a processor to implement the above-mentioned control method of the hyperbaric oxygen chamber.

[0078] It is understandable that by collecting and analyzing the oxygen concentration data at multiple points in the hyperbaric oxygen chamber, an oxygen concentration data set is established, and the concentration mean is calculated by processing the data set to achieve real-time monitoring of the oxygen concentration in the chamber. Unlike the traditional manual adjustment method, the comparison result between the oxygen concentration and the minimum concentration threshold automatically determines whether the oxygen intake needs to be adjusted, and the total amount of air replenishment is determined according to the concentration difference. By combining the oxygen concentration at each point with the distance from the air inlet, the air replenishment scheme is further optimized, the comprehensive missing value is generated, the historical air replenishment data is analyzed, and the air replenishment rate is dynamically determined to ensure that the oxygen concentration in each area of ​​the hyperbaric oxygen chamber is maintained within the ideal range. The accuracy of oxygen replenishment is improved, and resource waste is avoided. Through the comprehensive analysis of real-time data, the oxygen concentration in the hyperbaric oxygen chamber is ensured to be more uniform, and the treatment effect and safety are improved. At the same time, the automated control method reduces the frequency of manual intervention and enhances the intelligence and automation level of the hyperbaric oxygen chamber.

[0079] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0080] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0081] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0082] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for controlling a hyperbaric oxygen chamber, characterized in that: include: Collecting oxygen concentrations at a plurality of points in the hyperbaric oxygen chamber, establishing an oxygen concentration data set, and obtaining a concentration mean value according to the oxygen concentration data set; Comparing each oxygen concentration data in the oxygen concentration data set with a minimum concentration threshold, and determining whether to control the air intake of the hyperbaric oxygen chamber according to the comparison result; When it is determined that the intake is to be controlled, the concentration mean is compared with the minimum concentration threshold, the type of air supplement is determined according to the comparison result, and the total amount of air supplement is determined according to the concentration difference; After the total amount of air replenishment is determined, the oxygen concentration data set and the distance between each oxygen concentration data and the air inlet are combined to obtain a comprehensive missing value; the comprehensive missing value is analyzed with the historical air replenishment data to determine the air replenishment rate; Infusing the hyperbaric oxygen chamber with gas according to the total amount of gas supplementation, the type of gas supplementation, and the gas supplementation rate; When the oxygen concentration data set and the distance between each oxygen concentration data and the air inlet are combined to obtain the comprehensive missing value, it includes: The comprehensive missing value is calculated by the following formula: ； Among them, Q represents the comprehensive missing value, Cmin represents the minimum concentration threshold, Ci represents the oxygen concentration at the i-th measuring point, di represents the distance from the i-th measuring point to the air inlet, Dmax represents the maximum measurement distance in the hyperbaric oxygen chamber, p represents the distance attenuation exponent, and n represents the total number of measuring points in the chamber.

2. The control method of the hyperbaric oxygen chamber according to claim 1, characterized in that: When judging whether to control the air intake of the hyperbaric oxygen chamber according to the comparison result, it includes: When each oxygen concentration data in the oxygen concentration data set is greater than or equal to a minimum concentration threshold, determining not to control the air intake of the hyperbaric oxygen chamber; When there is oxygen concentration data in the oxygen concentration data set that is less than a minimum concentration threshold, it is determined to control the hyperbaric oxygen chamber.

3. The control method of the hyperbaric oxygen chamber according to claim 1, characterized in that: The concentration mean is compared with the minimum concentration threshold, and the gas supplement type is determined according to the comparison result, including: When the concentration mean is less than the minimum concentration threshold, determining to use oxygen as the gas supplement type; When the concentration average is greater than or equal to the minimum concentration threshold, it is determined that compressed air is used as the air supplement type.

4. The control method of the hyperbaric oxygen chamber according to claim 1, characterized in that: When determining the total amount of gas replenishment based on the concentration difference, it includes: Obtaining a concentration difference value according to the concentration mean value and the minimum concentration threshold, wherein the concentration difference value is the difference between the minimum concentration threshold value and the concentration mean value; The concentration difference is compared with a first preset concentration difference and a second preset concentration difference respectively, and the total amount of gas replenishment is determined according to the comparison result, the first preset concentration difference is less than the second preset concentration difference; when the concentration difference is less than or equal to the first preset concentration difference, the total amount of gas replenishment is determined to be the first preset total amount of gas replenishment; when the concentration difference is greater than the first preset concentration difference and less than or equal to the second preset concentration difference, the total amount of gas replenishment is determined to be the second preset total amount of gas replenishment; when the concentration difference is greater than the second preset concentration difference, the total amount of gas replenishment is determined to be the third preset total amount of gas replenishment; the first preset total amount of gas replenishment is less than the second preset total amount of gas replenishment, and the second preset total amount of gas replenishment is less than the third preset total amount of gas replenishment.

5. The control method of the hyperbaric oxygen chamber according to claim 1, characterized in that: The distance decay index is calculated by the following formula: ； Where p represents the distance attenuation exponent, and davg represents the average distance from all measurement points in the cabin to the air inlet.

6. The control method of the hyperbaric oxygen chamber according to claim 1, characterized in that: The comprehensive missing values ​​are analyzed with the historical gas replenishment data to determine the gas replenishment rate, including: When the historical gas replenishment data contains data identical to the comprehensive missing value, the historical gas replenishment rate in the historical gas replenishment data is used as the gas replenishment rate; When there is no data identical to the comprehensive missing value in the historical gas replenishment data, the historical gas replenishment data corresponding to the historical comprehensive missing value with the smallest difference from the comprehensive missing value is selected as the initial gas replenishment rate, and the initial gas replenishment rate is adjusted to obtain the gas replenishment rate.

7. The control method of the hyperbaric oxygen chamber according to claim 6, characterized in that: The initial gas replenishment rate is adjusted to obtain the gas replenishment rate, comprising: A missing value difference is obtained based on the comprehensive missing value and the historical comprehensive missing value, and the missing value difference is the difference between the comprehensive missing value and the historical comprehensive missing value. An adjustment coefficient is determined based on the missing value difference to adjust the initial gas replenishment rate, and the adjustment coefficient is proportional to the missing value difference.

8. A control system for a hyperbaric oxygen chamber, used for applying the control method according to any one of claims 1 to 7, characterized in that: include: a collection unit configured to collect oxygen concentrations at a plurality of points in the hyperbaric oxygen chamber, establish an oxygen concentration data set, and obtain a concentration mean value according to the oxygen concentration data set; a judgment unit configured to compare each oxygen concentration data in the oxygen concentration data set with a minimum concentration threshold, and judge whether to control the air intake of the hyperbaric oxygen chamber according to the comparison result; when it is determined that the air intake is to be controlled, compare the concentration mean with the minimum concentration threshold, determine the type of air supplementation according to the comparison result, and determine the total amount of air supplementation according to the concentration difference; a processing unit configured to combine the oxygen concentration data set and the distance between each oxygen concentration data and the air inlet after determining the total amount of supplementary air to obtain a comprehensive missing value; Analyze the comprehensive missing value and historical gas replenishment data to determine the gas replenishment rate; The gas replenishment unit is configured to replenish gas to the hyperbaric oxygen chamber according to the total gas replenishment amount, gas replenishment type and gas replenishment rate.

9. A computer storage medium, characterized in that A computer program is stored thereon; the computer program is executed by a processor to implement the control method of the hyperbaric oxygen chamber as described in any one of claims 1-7.

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