A breathing machine control management method, system, storage medium and intelligent terminal

By acquiring the current time and influencing parameters of the ventilator, dividing the detection interval, calculating the changing parameters, and updating the ventilator parameters to adapt to environmental changes, the problem of lag in ventilator operation under environmental changes is solved, and the effectiveness of use is improved.

CN115620887BActive Publication Date: 2026-07-03ZHEJIANG SAIHUKANG TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG SAIHUKANG TECH CO LTD
Filing Date
2022-10-24
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

The ventilator is slow to adjust to changes in the environment, resulting in poor performance.

Method used

By acquiring current time information and influencing parameters, the detection interval is divided, the changing parameter information is calculated, and the adjustment parameters are determined based on the matching analysis of the preset database, and the ventilator parameters are updated to adapt to environmental changes.

Benefits of technology

It reduces ventilator adjustment lag, improves effectiveness, and ensures the accuracy and adaptability of parameter calculations.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This application relates to a ventilator control and management method, system, storage medium, and smart terminal, belonging to the field of medical device technology. It includes acquiring current time information and influencing parameter information; defining several detection intervals with fixed widths on a time axis, and determining corresponding operational parameter information based on the detection intervals; defining the current time information as the original interval, and defining adjacent intervals based on the original intervals; calculating and determining variable parameter information based on the influencing parameter information at the front and rear ends of the original intervals; performing matching analysis based on the variable parameter information and adjustment parameter information stored in the adjustment database to determine the adjustment parameter information corresponding to the variable parameter information; calculating and determining updated parameter information based on the operational parameter information and adjustment parameter information of the adjacent intervals, and controlling the ventilator in the adjacent intervals to perform operations with the updated parameter information. This application has the effect of improving the effectiveness of ventilator use.
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Description

Technical Field

[0001] This application relates to the field of medical device technology, and in particular to a ventilator control and management method, system, storage medium and smart terminal. Background Technology

[0002] A ventilator is a vital medical device that can replace, control, or alter a person's normal physiological breathing, increase lung ventilation, improve respiratory function, reduce respiratory work consumption, conserve cardiac reserve capacity, and save and prolong the life of patients.

[0003] In related technologies, when a ventilator is in use, in order to adjust the ventilator to a working state that is more suitable for the current environment, the ventilator collects data on light, humidity and temperature in the external environment in real time, and adjusts the working state of the ventilator according to the corresponding data.

[0004] Regarding the aforementioned technologies, the inventors believe that when the current environmental conditions are detected and the corresponding data is used to adjust the ventilator's operation, the environment may change again, causing a lag in the ventilator's adjustment and resulting in poor ventilator performance, indicating room for improvement. Summary of the Invention

[0005] To improve the effectiveness of ventilators, this application provides a ventilator control and management method, system, storage medium, and smart terminal.

[0006] In a first aspect, this application provides a ventilator control and management method, which adopts the following technical solution:

[0007] A ventilator control and management method, comprising:

[0008] Obtain current time information and influencing parameter information;

[0009] Several adjacent detection intervals with a preset fixed width are defined on the preset time axis, and the corresponding operation parameter information is determined based on the detection intervals;

[0010] The corresponding detection interval is determined based on the current time information, and this detection interval is defined as the original interval. The detection interval that is after and adjacent to the original interval is defined as the adjacent interval.

[0011] The change parameter information is determined by calculating the influence parameter information of the front and back ends of the original interval.

[0012] Based on the change parameter information and adjustment parameter information stored in the preset adjustment database, a matching analysis is performed to determine the adjustment parameter information corresponding to the change parameter information;

[0013] The updated parameter information is determined by calculating the operation parameter information and adjustment parameter information of adjacent intervals, and the ventilator is controlled in adjacent intervals to perform operations with the parameters corresponding to the updated parameter information.

[0014] By adopting the above technical solution, the current time and the parameters affecting the ventilator operation at the current time are first obtained. Based on the current time, the corresponding original interval and adjacent intervals are determined. By analyzing the changes in the current original interval, the adjustment parameters that need to be adjusted for the adjacent intervals are determined. This allows the ventilator parameters to be adjusted according to the current external influences, so that the ventilator can better adapt to the environment in the next stage, thereby improving the effectiveness of the ventilator.

[0015] Optionally, methods for determining the influencing parameter information include:

[0016] Acquire information on light, humidity, and temperature parameters;

[0017] The detection interval and weight ratio information stored in the preset weight database are matched and analyzed to determine the weight ratio information corresponding to the detection interval;

[0018] The influencing parameters are determined by calculating the corresponding weight ratios of the light, humidity, and temperature parameters, as well as the original intervals.

[0019] By adopting the above technical solution, different weights can be assigned to light, humidity and temperature according to the different times corresponding to the detection interval, so as to make the determination of the influencing parameter information more accurate.

[0020] Optionally, methods for determining the parameters may also include:

[0021] The parameter ratio information is determined by calculating based on the light, humidity, and temperature parameters.

[0022] Determine whether the ratio value corresponding to the parameter ratio information is within the preset normal range;

[0023] If the ratio value corresponding to the parameter ratio information is within the normal range, then the influencing parameter information is determined based on the light parameter information, humidity parameter information, and temperature parameter information.

[0024] If the ratio value corresponding to the parameter ratio information is not within the normal range, then two fixed values ​​are determined sequentially from the light, humidity, and temperature parameters, and the standard parameter information of another parameter is determined based on the two fixed values; the difference parameter information is determined by calculation based on the light, humidity, and temperature parameters and the corresponding standard parameter information.

[0025] The system identifies the largest difference parameter from the difference parameter information and modifies the corresponding environmental values ​​to update the light, humidity, and temperature parameters. Based on the updated light, humidity, and temperature parameters, the system determines the influencing parameters.

[0026] By adopting the above technical solution, it is possible to determine whether the data obtained at present does not conform to the normal weather conditions. If it does not conform to the normal weather conditions, the value with the largest deviation can be corrected so that the calculation of the influencing parameter information is more accurate.

[0027] Optionally, after the weight ratio information is determined, the methods for updating the weight ratio information include:

[0028] Obtain external environment parameter information;

[0029] The detection interval and the defined range information stored in the preset defined database are matched and analyzed to determine the defined range information corresponding to the detection interval;

[0030] Determine whether the parameter values ​​corresponding to the external environmental parameter information are within the range corresponding to the defined range information;

[0031] If the parameter value corresponding to the external environment parameter information is within the range corresponding to the defined range information, then the weight ratio information is maintained; if the parameter value corresponding to the external environment parameter information is not within the range corresponding to the defined range information, then the closest parameter information to the external environment parameter information is determined in the defined range information, and the distance parameter information is determined by calculation based on the external environment parameter information and the close parameter information.

[0032] Matching analysis is performed based on the phase distance parameter information and correction value information stored in the preset correction database to determine the correction value information corresponding to the phase distance parameter information;

[0033] The weight ratio information is updated by calculating based on the weight ratio information and the correction value information.

[0034] By adopting the above technical solution, the external situation can be judged to determine whether the external environment is similar to the environment when the corresponding weight ratio is set. If there is a large deviation in the external environment, the corresponding correction value can be determined to correct the weight ratio.

[0035] Optionally, after the original interval is determined, the methods for determining the information of the changing parameters include:

[0036] At the endpoints of each detection interval on the time axis, a judgment interval with a width of a preset unit value is defined in reverse order;

[0037] The slope information of the change is determined by calculating the influence parameter information of the front and back ends of the judgment interval.

[0038] Determine whether the slope value corresponding to the slope change information is within the preset allowable range;

[0039] If the slope value corresponding to the slope change information is within the permissible range, then the influence parameter information of the endpoint of the detection interval is defined as valid parameter information;

[0040] If the slope value corresponding to the slope change information is not within the permissible range, the corresponding slope information is determined by calculating based on the influence parameter information at the front end of the judgment interval and the influence parameter information of each point in the judgment interval.

[0041] The corresponding slope information within the permissible range is defined as the effective slope information, and the influence parameter information of the point in the judgment interval corresponding to the most recent effective slope information at the time point is defined as the effective parameter information of the endpoint of the detection interval.

[0042] The changed parameter information is determined by calculating based on the effective parameter information of the front and back ends of the original interval.

[0043] By adopting the above technical solution, it is possible to determine whether the influence parameters at the endpoints of the detection range have changed significantly. If they have changed significantly, the influence parameters at the endpoints can be re-determined to more accurately determine the environmental changes within the detection range.

[0044] Optionally, after the corresponding slope information is determined, the methods for determining the effective parameter information include:

[0045] Determine whether the slope value corresponding to the relevant slope information is within the permissible range;

[0046] If the slope value corresponding to the corresponding slope information is within the permissible range, then the point corresponding to the corresponding slope information in the judgment interval is defined as a valid point;

[0047] If the slope value corresponding to the corresponding slope information is not within the permissible range, then the point corresponding to the corresponding slope information in the judgment interval will be defined as an invalid point.

[0048] The invalid points are counted to determine the invalid quantity information, and the invalid percentage information is calculated based on the invalid quantity information and the unit value.

[0049] Determine whether the ratio corresponding to the invalid percentage information is greater than the preset upper limit value;

[0050] If the ratio corresponding to the invalid percentage information is not greater than the upper limit, then define the corresponding valid slope information, and determine the valid parameter information based on the valid slope information;

[0051] If the ratio corresponding to the invalid percentage information is greater than the upper limit, the mean value is calculated based on the influence parameter information of each invalid point to determine the valid parameter information.

[0052] By adopting the above technical solution, when the proportion of invalid points is high, it indicates that the influence parameters of the leading endpoint of the judgment interval are inaccurate. In this case, the influence parameters of the endpoints of the detection interval are maintained so that the influence parameters of the determined endpoints of the detection interval are more accurate.

[0053] Optionally, methods for determining the operation parameter information include:

[0054] The matching analysis is performed based on the detection intervals and operation parameter information stored in the preset operation database to determine the operation parameter information corresponding to the detection intervals;

[0055] The first few detection intervals of the current original interval are defined as the influence intervals, and the deviation parameter information is determined by calculation based on the operation parameter information and update parameter information of each influence interval.

[0056] The mean value is calculated based on the deviation parameter information to determine the mean parameter information. Then, the operation parameter information of the original interval is updated based on the mean parameter information and the corresponding operation parameter information.

[0057] By adopting the above technical solution, the operating parameters of the current original range can be corrected according to the deviation of the operating parameters of each affected range, so that the updated parameters of the ventilator can be corrected on a more suitable operating parameter.

[0058] Secondly, this application provides a ventilator control and management system, which adopts the following technical solution:

[0059] A ventilator control and management system, comprising:

[0060] The acquisition module is used to obtain current time information and influencing parameter information;

[0061] The processing module, connected to the acquisition module, is used for information storage and processing;

[0062] The processing module defines several adjacent detection intervals with a preset fixed width on the preset time axis, and determines the corresponding operation parameter information based on the detection intervals;

[0063] The processing module determines the corresponding detection interval based on the current time information, defines the detection interval as the original interval, and defines the detection interval that is after and adjacent to the original interval as the adjacent interval.

[0064] The processing module calculates and determines the changed parameter information based on the influence parameter information of the original front and back ends of the interval;

[0065] The processing module performs a matching analysis based on the changed parameter information and the adjustment parameter information stored in the preset adjustment database to determine the adjustment parameter information corresponding to the changed parameter information.

[0066] The processing module calculates and determines the updated parameter information based on the operation parameter information and adjustment parameter information of adjacent intervals, and controls the ventilator in adjacent intervals to perform operations with the parameters corresponding to the updated parameter information.

[0067] By adopting the above technical solution, the acquisition module first obtains the current time and the parameters affecting the ventilator operation at the current time, so that the processing module can determine the corresponding original interval and adjacent intervals based on the current time. The processing module determines the adjustment parameters that need to be adjusted for the adjacent intervals by analyzing the changes in the current original interval. This allows the ventilator parameters to be adjusted for the next stage based on the current external influence, so that the ventilator can better adapt to the environment in the next stage, thereby improving the effectiveness of the ventilator.

[0068] Thirdly, this application provides a smart terminal, which adopts the following technical solution:

[0069] A smart terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed by any of the above-mentioned ventilator control and management methods.

[0070] By adopting the above technical solution and using a smart terminal, the current time and the parameters affecting the ventilator operation at the current time are first obtained. Based on the current time, the corresponding original interval and adjacent intervals are determined. By analyzing the changes in the original interval, the adjustment parameters that need to be adjusted for the adjacent intervals are determined. This allows the ventilator parameters to be adjusted according to the current external influences, so that the ventilator can better adapt to the environment in the next stage, thereby improving the effectiveness of the ventilator.

[0071] Fourthly, this application provides a computer storage medium capable of storing corresponding programs, which improves the effectiveness of ventilators, and adopts the following technical solution:

[0072] A computer-readable storage medium storing a computer program that can be loaded by a processor and executed by any of the above-described ventilator control and management methods.

[0073] By adopting the above technical solution, the computer program containing the ventilator control and management method in the storage medium first obtains the current time and the parameters affecting the ventilator operation at the current time. Based on the current time, it determines the corresponding original interval and adjacent intervals. By analyzing the changes in the current original interval, it determines the adjustment parameters that need to be adjusted for the adjacent intervals. This allows the ventilator parameters to be adjusted according to the current external influences, so that the ventilator can better adapt to the environment in the next stage, thereby improving the effectiveness of the ventilator.

[0074] In summary, this application includes at least one of the following beneficial technical effects:

[0075] 1. The environmental changes in the previous stage can be used to predict the environmental changes in the next stage, thereby enabling the ventilator to be updated accordingly, reducing the occurrence of ventilator adjustment lag and improving the effectiveness of ventilator use.

[0076] 2. The acquired light, humidity, and temperature values ​​can be analyzed to determine the proportion of these values ​​that conform to normal conditions, so as to calculate more accurate influencing parameters;

[0077] 3. It can analyze the influencing parameters of the endpoints of the detection interval to reduce the occurrence of abnormalities at the endpoints of the detection interval affecting the judgment of the stage situation. Attached Figure Description

[0078] Figure 1 This is a flowchart of the ventilator control and management method.

[0079] Figure 2 This is a schematic diagram showing the establishment of the detection interval.

[0080] Figure 3 This is a flowchart of the method for determining weight ratios.

[0081] Figure 4 This is a flowchart of the environmental parameter determination method.

[0082] Figure 5 This is a flowchart of the weight ratio correction method.

[0083] Figure 6 This is a flowchart of the method for determining the parameters affecting the endpoints of the detection interval.

[0084] Figure 7 This is a flowchart of a method for determining abnormal situations at the endpoints of a detection interval.

[0085] Figure 8 This is a flowchart of the method for determining the operation parameters.

[0086] Figure 9 This is a flowchart of the modules for ventilator control and management methods. Detailed Implementation

[0087] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figure 1-9 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0088] The embodiments of the present invention will now be described in further detail with reference to the accompanying drawings.

[0089] This application discloses a ventilator control and management method, which collects light, humidity, and temperature data of the environment in which the ventilator is located. By analyzing the data of these three factors, the method determines the current impact of the external environment on the ventilator. Then, by comparing the impact before and after a certain period, the method determines the current trend of external environmental changes. This allows the method to deduce the environmental changes in the next period based on the current environmental changes, enabling the ventilator to adjust accordingly. This ensures accurate updates to the ventilator and improves its effectiveness.

[0090] Reference Figure 1 The procedure for ventilator control and management includes the following steps:

[0091] Step S100: Obtain current time information and influencing parameter information.

[0092] The current time information corresponds to the standard time of the region where the ventilator is located. For example, if the ventilator is used in China, then the time is Beijing time. The parameters corresponding to the impact parameters information are the impact parameters of the ventilator on the external environment. These impact parameters can be determined by the values ​​of external environmental conditions such as light, humidity, and temperature. The specific determination method shall be determined by the staff according to the actual situation, and will not be elaborated here.

[0093] Step S101: Define several adjacent detection intervals with a preset fixed width on the preset time axis, and determine the corresponding operation parameter information based on the detection intervals.

[0094] The time axis consists of coordinate values ​​formed by combinations of various time points. Fixed values ​​represent the duration set by the staff for adjusting the ventilator's operation. For example, if adjustments to the ventilator's operation are needed every five minutes, the fixed value is five minutes. These fixed values ​​are set by the staff based on actual conditions and will not be elaborated further. The detection interval is an equally divided section on the time axis. Figure 2As shown; the parameters corresponding to the operation parameter information are the operation parameters that the ventilator needs to perform under this detection interval. These parameters can be set in advance by the staff and a corresponding database can be established. When setting them in advance, the staff can set the operation parameter information according to the time period of the detection interval. The specific situation is set by the staff and will not be elaborated here.

[0095] Step S102: Determine the corresponding detection interval based on the current time information, define the detection interval as the original interval, and define the detection interval that is after and adjacent to the original interval as the adjacent interval.

[0096] The original interval and adjacent intervals are defined to distinguish different detection intervals, so as to facilitate subsequent analysis of the detection interval situation.

[0097] Step S103: Calculate and determine the change parameter information based on the influence parameter information of the original front and back ends of the interval.

[0098] The front end of the original interval is the first endpoint of the interval, and the back end is the last endpoint of the interval. The parameter corresponding to the changed parameter information is the parameter value corresponding to the back end influence parameter information minus the parameter value corresponding to the front end influence parameter information.

[0099] Step S104: Perform a matching analysis based on the change parameter information and adjustment parameter information stored in the preset adjustment database to determine the adjustment parameter information corresponding to the change parameter information.

[0100] The parameter values ​​corresponding to the adjustment parameter information are the parameter values ​​that need to be modified for the operation of the ventilator based on the parameters corresponding to the changed parameter information. These values ​​can be determined by the staff through prior testing. For example, if the changed parameter of the current original interval is value A, the staff can determine the corresponding adjustment parameter information by pushing the changed parameters of the adjacent intervals based on value A. The staff can establish an adjustment database based on the correspondence between the two. The method of establishing the database is a conventional technical means for those skilled in the art and will not be elaborated here.

[0101] Step S105: Calculate and determine the updated parameter information based on the operation parameter information and adjustment parameter information of the adjacent intervals, and control the ventilator in the adjacent intervals to perform operations with the parameters corresponding to the updated parameter information.

[0102] The updated parameter information corresponds to the parameter values ​​that are the parameters used to control the ventilator after the operation parameters have been corrected. This allows the ventilator to be adjusted to more suitable operating parameters in adjacent intervals, so that the ventilator can adapt to the corresponding environmental conditions and have a better performance.

[0103] Reference Figure 3 Methods for determining the influencing parameter information include:

[0104] Step S200: Obtain illumination parameter information, humidity parameter information, and temperature parameter information.

[0105] The illumination parameter information corresponds to the illumination intensity value detected at the current location of the ventilator, which can be obtained through a photosensor. The humidity parameter information corresponds to the humidity value detected at the current location of the ventilator, which can be obtained through a humidity sensor. The temperature parameter information corresponds to the temperature value detected at the current location of the ventilator, which can be obtained through a temperature sensor.

[0106] Step S201: Perform matching analysis based on the detection interval and weight ratio information stored in the preset weight database to determine the weight ratio information corresponding to the detection interval.

[0107] The weight ratio information corresponds to the weight values ​​to be assigned to the parameters of light, humidity, and temperature. Different detection intervals correspond to different weight ratio information so that the weights of light, humidity, and temperature are different at different times. For example, light intensity changes significantly during the day, so a larger weight can be assigned to light. At night, light intensity does not change significantly, so a smaller weight can be assigned to light to achieve reasonable weight ratio information. Staff members establish a weight database based on the correspondence between the two. The method of establishing the database is a conventional technical means for those skilled in the art and will not be described in detail.

[0108] Step S202: Based on the illumination parameter information, humidity parameter information, temperature parameter information, and the corresponding weight ratio information of the original interval, perform corresponding calculations to determine the influencing parameter information.

[0109] The influence parameter information is calculated based on the corresponding weights to make the influence parameter more accurate and facilitate the determination of the change in this interval. The calculation formula is Z=A*a+B*b+C*c, where Z is the parameter value corresponding to the influence parameter information, A is the parameter value corresponding to the light parameter information, a is the weight value of light, B is the parameter value corresponding to the humidity parameter information, b is the weight value of humidity, C is the parameter value corresponding to the temperature parameter information, and c is the weight value of temperature, where a+b+c=1.

[0110] Reference Figure 4 Other methods for determining parameter information include:

[0111] Step S300: Calculate and determine the parameter ratio information based on the light parameter information, humidity parameter information, and temperature parameter information.

[0112] The ratio values ​​corresponding to the parameter ratio information are the ratios of the parameter values ​​corresponding to the illumination parameter information, the parameter values ​​corresponding to the humidity parameter information, and the parameter values ​​corresponding to the temperature parameter information.

[0113] Step S301: Determine whether the ratio value corresponding to the parameter ratio information is within the preset normal range.

[0114] The normal range is the ratio of light, humidity, and temperature parameters that the staff set to ensure under normal conditions. In other words, it is the range of ratios that light, humidity, and temperature need to be guaranteed under objective conditions. The purpose of the judgment is to find out whether there are obviously problematic parameter values ​​in the current environment. For example, if the ratio of light:humidity:temperature = 1:1:30, it obviously indicates that there is a certain problem with the temperature.

[0115] Step S3011: If the ratio value corresponding to the parameter ratio information is within the normal range, then determine the influencing parameter information based on the light parameter information, humidity parameter information, and temperature parameter information.

[0116] When the ratio of the parameter information is within the normal range, it indicates that the current external environment is basically normal. At this time, it is sufficient to maintain the light, humidity and temperature parameters to determine the influencing parameters.

[0117] Step S3012: If the ratio value corresponding to the parameter ratio information is not within the normal range, then determine two fixed values ​​in sequence from the light parameter information, humidity parameter information and temperature parameter information, and determine the standard parameter information of another parameter based on the two fixed values.

[0118] When the ratio of the parameter information is not within the normal range, it indicates that one of the three parameters is abnormal. For example, when a light shines on a photosensitive sensor at night, it is necessary to determine the abnormal parameter. The parameter corresponding to the standard parameter information is the most standard parameter that the parameter should be in when the other two parameters are fixed. For example, if the ratio of the three is 1:2:20, the permissible range is (1-10):(1-10):(1-10). Then the standard parameter information for the temperature parameter is 10.

[0119] Step S302: Calculate and determine the difference parameter information based on the light parameter information, humidity parameter information, temperature parameter information and corresponding standard parameter information.

[0120] The parameter value corresponding to the difference parameter information is the difference between the standard parameter calculated with the other two parameters fixed and the actual corresponding parameter. Taking the above example as a further illustration, the difference parameter information is 20-10=10.

[0121] Step S303: Determine the difference parameter information with the largest corresponding value from the difference parameter information, and modify the specific environmental value corresponding to the difference parameter information to update the light parameter information, humidity parameter information and temperature parameter information, and determine the influencing parameter information based on the updated light parameter information, humidity parameter information and temperature parameter information.

[0122] The largest difference parameter information is determined to find the parameter value with the largest deviation among the three, thus identifying the abnormal parameter. At this time, the abnormal parameter is modified to a suitable parameter so that the ratio of light, humidity and temperature conforms to objective laws, so as to facilitate the subsequent calculation of more accurate impact parameters. At the same time, the duration of environmental conditions that do not conform to objective laws can be timed. When the timed duration exceeds a certain specified duration, it indicates that the abnormal influence has affected the ventilator. At this time, the abnormal parameters of the three can be used to calculate the impact parameter information, so that the ventilator can be effectively adjusted according to the actual external environment.

[0123] Reference Figure 5 Once the weight ratio information is determined, the methods for updating the weight ratio information include:

[0124] Step S400: Obtain external environment parameter information.

[0125] The parameter values ​​corresponding to the external environment parameter information are the parameters corresponding to the external weather. For example, if it is sunny, the parameter is defined as 1; if it is cloudy, the parameter is defined as 2, and so on. Other concepts can also be introduced, such as rainfall, regional water level, etc., which are set by the staff according to the actual situation, and will not be elaborated here.

[0126] Step S401: Perform matching analysis based on the detection interval and delineation range information stored in the preset delineation database to determine the delineation range information corresponding to the detection interval.

[0127] The range corresponding to the defined range information is the range of external environmental parameters set when defining the weight ratio of the current detection range. The correspondence between the two is determined by the staff based on the requirements of the external environmental parameters when the weight ratio information is determined. The staff can establish a defined database based on the correspondence between the two to facilitate the determination of the defined range information. The method of establishing the database is a conventional technical means for those skilled in the art.

[0128] Step S402: Determine whether the parameter value corresponding to the external environment parameter information is within the range corresponding to the defined range information.

[0129] The purpose of this judgment is to determine whether the weight ratio used is appropriate for the current external situation.

[0130] Step S4021: If the parameter value corresponding to the external environment parameter information is within the range corresponding to the defined range information, then maintain the weight ratio information.

[0131] When the parameter value corresponding to the external environment parameter information is within the range corresponding to the defined range information, it means that the current external environment conforms to the environment range specified when the weight ratio is set. At this time, the weight ratio information can be maintained for use.

[0132] Step S4022: If the parameter value corresponding to the external environment parameter information is not within the range corresponding to the defined range information, then determine the closest parameter information to the external environment parameter information in the defined range information, and calculate the distance parameter information based on the external environment parameter information and the close parameter information.

[0133] When the parameter value corresponding to the external environmental parameter information is not within the range corresponding to the defined range information, it indicates that the external environmental conditions do not conform to the environmental range specified by the staff when setting the weight ratio. That is, extreme weather such as typhoons and sandstorms may occur at this time. The time interval of the corresponding detection interval does not conform to the normal environmental change pattern, and further analysis is required. The parameter value corresponding to the similar parameter information is the parameter value that is closest to the parameter value corresponding to the external environmental parameter information within the range corresponding to the defined range information. The parameter value corresponding to the distant parameter information is the parameter value corresponding to the external environmental parameter information minus the parameter value corresponding to the similar parameter information, so as to know how far the current external environmental conditions are from the required environment, which is convenient for subsequent adjustment of the weight ratio.

[0134] Step S403: Perform a matching analysis based on the phase distance parameter information and correction value information stored in the preset correction database to determine the correction value information corresponding to the phase distance parameter information.

[0135] The corrected numerical information corresponds to the value that needs to be modified in the weight ratio information. Different distance parameter information corresponds to different corrected numerical information. The correspondence between the two is determined by the staff through prior experiments, and a correction database is established based on the correspondence between the two. The method of establishing the database is a conventional technical means for those skilled in the art and will not be described in detail.

[0136] Step S404: Calculate and update the weight ratio information based on the weight ratio information and the correction value information.

[0137] The weight ratio information is corrected by adding correction values ​​to ensure that the weight ratio information used is consistent with the current external environment, so that the calculated influence parameters are more accurate.

[0138] Reference Figure 6 After the original interval is determined, the methods for determining the information of the changing parameters include:

[0139] Step S500: Define a judgment interval with a width of a preset unit value at the endpoints of each detection interval on the time axis.

[0140] The unit value is a time set by the staff, which is less than the fixed value. The judgment interval is the interval for data collection established from the endpoint of the detection interval in reverse order along the time axis, as referenced. Figure 2 The endpoint of the judgment interval coincides with the endpoint of the detection interval.

[0141] Step S501: Calculate the slope information based on the influence parameter information of the front and back ends of the judgment interval.

[0142] The value corresponding to the slope information is the rate of change of the influencing parameters at both ends of the judgment interval, and the calculation formula is: Where P is the value corresponding to the slope information, Q1 is the parameter value corresponding to the influence parameter information at the front end of the judgment interval, Q2 is the parameter value corresponding to the influence parameter information at the back end of the judgment interval, and T is the unit value.

[0143] Step S502: Determine whether the slope value corresponding to the slope change information is within the preset allowable range.

[0144] The permissible range is the range of changes in the influencing parameter within a unit value that is allowed under normal changes in the parameter corresponding to the influencing parameter information, as set by the staff. The purpose of the judgment is to determine whether the current change in the influencing parameter is normal.

[0145] Step S5021: If the slope value corresponding to the slope change information is within the permissible range, then the influence parameter information of the endpoint of the detection interval is defined as valid parameter information.

[0146] When the slope value corresponding to the slope change information is within the permissible range, it indicates that the degree of change of the current influencing parameter is normal. At this time, the influencing parameter information of the endpoint of the detection interval is defined as the effective parameter information to realize the determination of the influencing parameter of the endpoint of the detection interval, so as to facilitate subsequent calculations.

[0147] Step S5022: If the slope value corresponding to the slope change information is not within the permissible range, the corresponding slope information is determined by calculating based on the influence parameter information at the front end of the judgment interval and the influence parameter information of each point in the judgment interval.

[0148] When the slope value corresponding to the slope information is not within the permissible range, it indicates that the degree of change of the current influencing parameter is abnormal. At this time, it is necessary to determine the point in the judgment interval where the influencing parameter changes abruptly for further analysis. The slope value corresponding to the slope information is the degree of change of the influencing parameter between the front point of the judgment interval and each point in the judgment interval. The calculation method is the same as that of the slope information and will not be elaborated here.

[0149] Step S503: Define the corresponding slope information within the permissible range as valid slope information, and define the influence parameter information of the point in the judgment interval corresponding to the latest valid slope information as the valid parameter information of the endpoint of the detection interval.

[0150] The corresponding slope information within the permissible range is defined as valid slope information for identification, so as to distinguish points that do not meet the requirements for changes in influencing parameters. The rightmost valid slope information of the time point is determined to identify the point where the changes in influencing parameters are large. At this time, the influencing parameter information of the point is defined as the valid parameter information of the endpoint of the detection interval for identification, so that the determined influencing parameters of the endpoint of the detection interval are more reasonable and accurate.

[0151] Step S504: Calculate and determine the changed parameter information based on the effective parameter information of the original front and back ends of the interval.

[0152] The difference is calculated based on the effective parameter information determined at the front and back ends of the original interval to determine the changed parameter information, so as to accurately determine the changed parameter information and facilitate the subsequent control of the ventilator's operating parameters in the next detection interval.

[0153] Reference Figure 7 Once the corresponding slope information is determined, the methods for determining the effective parameter information include:

[0154] Step S600: Determine whether the slope value corresponding to the slope information is within the permissible range.

[0155] Once the corresponding slope information is determined, it indicates that the influence parameters before and after the detection interval have changed significantly. At this time, there may be abnormalities in the influence parameters at the front or back of the detection interval, and the specific abnormal location needs to be further determined. The purpose of the judgment is to know whether there are significant changes in the influence parameters at the points of the current judgment interval, so as to facilitate subsequent analysis.

[0156] Step S6001: If the slope value corresponding to the corresponding slope information is within the permissible range, then the point corresponding to the corresponding slope information in the judgment interval is defined as a valid point.

[0157] When the slope value corresponding to the slope information is within the permissible range, it indicates that the change of the influence parameter at that point is relatively normal. At this time, the point is defined as a valid point and marked for subsequent analysis.

[0158] Step S6002: If the slope value corresponding to the corresponding slope information is not within the permissible range, then the point corresponding to the corresponding slope information in the judgment interval is defined as an invalid point.

[0159] When the slope value corresponding to the slope information is not within the permissible range, it indicates that the change of the influence parameter at that point is abnormal. In this case, the point is defined as an invalid point for subsequent analysis.

[0160] Step S601: Count invalid points to determine invalid quantity information, and calculate invalid percentage information based on invalid quantity information and unit value.

[0161] The quantity value corresponding to the invalid quantity information is the overall length value of the invalid points on the time axis in the judgment interval, which is determined by counting. The counting method is a conventional technical means for those skilled in the art and will not be described in detail. The value corresponding to the invalid percentage information is the proportion of invalid points on the time axis, which can be determined by dividing the quantity value corresponding to the invalid quantity information by the unit value.

[0162] Step S602: Determine whether the ratio corresponding to the invalid percentage information is greater than the preset upper limit value.

[0163] The upper limit value is the minimum percentage of invalid points in the judgment interval set by the staff. The purpose of the judgment is to determine whether most of the points in the judgment interval are invalid, so as to analyze the specific situation of the judgment interval.

[0164] Step S6021: If the ratio corresponding to the invalid percentage information is not greater than the upper limit value, then define the corresponding valid slope information and determine the valid parameter information based on the valid slope information.

[0165] When the ratio corresponding to the invalid percentage information is not greater than the upper limit, it means that most of the points in the judgment interval are valid. At this time, it is likely that there is an abnormality in the influencing parameters at the end of the judgment interval. In this case, the corresponding valid slope information is determined to determine the corresponding valid parameter information, so that the subsequent calculation of the changing parameters is more accurate.

[0166] Step S6022: If the ratio corresponding to the invalid percentage information is greater than the upper limit, the mean value is calculated based on the influence parameter information of each invalid point to determine the valid parameter information.

[0167] When the ratio corresponding to the invalid percentage information is greater than the upper limit, it means that most of the judgment interval is invalid. That is, it is likely that there is an abnormal influence parameter at the beginning of the judgment interval, that is, the influence parameter of each invalid point is a normal parameter. At this time, the mean value is calculated based on the influence parameter of each invalid point to determine a more accurate valid parameter information for subsequent calculation.

[0168] Reference Figure 8 The methods for determining the operation parameter information include:

[0169] Step S700: Perform a matching analysis based on the detection intervals and operation parameter information stored in the preset operation database to determine the operation parameter information corresponding to the detection intervals.

[0170] Different operational parameter information is preset for different time points. The correspondence between the two is determined by the staff based on the test results. An operational database is established based on the correspondence to facilitate the determination of operational parameter information within the testing interval. The method for establishing the operational database is a conventional technical means for those skilled in the art and will not be elaborated here.

[0171] Step S701: Define the first few detection intervals of the current original interval as the influence interval, and calculate and determine the deviation parameter information based on the operation parameter information and update parameter information of each influence interval.

[0172] The first few detection intervals of the original interval are defined as the influence intervals for identification, so as to distinguish different detection intervals and facilitate the analysis of the influence intervals. The number of influence intervals is set by the staff according to the actual situation, which will not be elaborated here. The parameter value corresponding to the deviation parameter information is the result of subtracting the parameter value corresponding to the operation parameter information from the parameter value corresponding to the updated parameter information.

[0173] Step S702: Calculate the mean value based on the deviation parameter information to determine the mean parameter information, and calculate the operation parameter information of the original interval based on the mean parameter information and the corresponding operation parameter information.

[0174] The mean parameter information corresponds to the average value of the parameter values ​​corresponding to each deviation parameter information. The mean parameter value is used to update the originally set operating parameters so that the set operating parameters are more in line with the actual situation. For example, if the updated parameters of the current several influence intervals have a deviation of about 10 from the set operating parameters, it means that the current environment will cause the parameters to deviate. At this time, the operating parameters are updated so that the updated parameters for ventilator operation can be modified on a more accurate operating parameter basis, so as to achieve better ventilator use effect.

[0175] Reference Figure 9Based on the same inventive concept, embodiments of the present invention provide a ventilator control and management system, comprising:

[0176] The acquisition module is used to obtain current time information and influencing parameter information;

[0177] The processing module, connected to the acquisition module, is used for information storage and processing;

[0178] The processing module defines several adjacent detection intervals with a preset fixed width on the preset time axis, and determines the corresponding operation parameter information based on the detection intervals;

[0179] The processing module determines the corresponding detection interval based on the current time information, defines the detection interval as the original interval, and defines the detection interval that is after and adjacent to the original interval as the adjacent interval.

[0180] The processing module calculates and determines the changed parameter information based on the influence parameter information of the original front and back ends of the interval;

[0181] The processing module performs a matching analysis based on the changed parameter information and the adjustment parameter information stored in the preset adjustment database to determine the adjustment parameter information corresponding to the changed parameter information.

[0182] The processing module calculates and determines the updated parameter information based on the operation parameter information and adjustment parameter information of adjacent intervals, and controls the ventilator in adjacent intervals to perform operations with the parameters corresponding to the updated parameter information;

[0183] The weight ratio determination module is used to determine the weight ratio of light, humidity and temperature relative to the influencing parameters under different conditions, so as to make the calculation of the influencing parameters more accurate.

[0184] The environmental parameter determination module is used to determine whether the collected data on light, humidity, and temperature conform to objective laws. When they do not conform to objective laws, the module automatically adjusts the values ​​with the largest deviations to further improve the accuracy of the influencing parameters.

[0185] The weight ratio correction module adjusts the weight ratio based on the current external environment to ensure that the weight ratio used is more accurate.

[0186] The endpoint parameter determination module is used to determine the influence parameters of each endpoint of the detection interval, so as to make the calculated influence parameter values ​​of the changing parameters more accurate.

[0187] The abnormal endpoint determination module is used to determine whether the leading endpoint of the judgment interval is abnormal, so as to determine whether the numerical correction of the endpoint of the detection interval is required.

[0188] The task parameter determination module determines appropriate task parameters based on the updated parameters of the affected area and the task parameters, so as to make the updated parameters more accurate.

[0189] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0190] This invention provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as a ventilator control and management method.

[0191] Computer storage media include, for example, USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media that can store program code.

[0192] Based on the same inventive concept, embodiments of the present invention provide a smart terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as a ventilator control and management method.

[0193] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0194] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A method for controlling and managing a ventilator, characterized in that, include: Obtain current time information and influencing parameter information; Several adjacent detection intervals with a preset fixed width are defined on a preset time axis, and the corresponding operation parameter information is determined based on the detection intervals; the corresponding detection interval is determined based on the current time information, and the detection interval is defined as the original interval, and the detection interval that is after the original interval and adjacent to it is defined as the adjacent interval; The change parameter information is determined by calculating the influence parameter information of the front and back ends of the original interval. The system performs matching analysis based on the changed parameter information and adjustment parameter information stored in the preset adjustment database to determine the adjustment parameter information corresponding to the changed parameter information; it calculates and determines the updated parameter information based on the operation parameter information and adjustment parameter information of adjacent intervals, and controls the ventilator in adjacent intervals to perform operations with the parameters corresponding to the updated parameter information; The methods for determining influencing parameter information include: acquiring illumination parameter information, humidity parameter information, and temperature parameter information; performing matching analysis based on the detection interval and weight ratio information stored in the preset weight database to determine the weight ratio information corresponding to the detection interval; and performing corresponding calculations based on the illumination parameter information, humidity parameter information, temperature parameter information, and the weight ratio information corresponding to the original interval to determine the influencing parameter information. The methods for determining influencing parameter information also include: calculating parameter ratio information based on light, humidity, and temperature parameters; determining whether the proportional value corresponding to the parameter ratio information is within a preset normal range; if the proportional value corresponding to the parameter ratio information is within the normal range, then determining the influencing parameter information based on the light, humidity, and temperature parameters; if the proportional value corresponding to the parameter ratio information is not within the normal range, then determining two fixed values ​​sequentially from the light, humidity, and temperature parameters, and determining the standard parameter information for another parameter based on the two fixed values; calculating and determining the difference parameter information based on the light, humidity, and temperature parameters and the corresponding standard parameter information; determining the difference parameter information with the largest corresponding value from the difference parameter information, modifying the specific environmental value corresponding to this difference parameter information to update the light, humidity, and temperature parameters, and determining the influencing parameter information based on the updated light, humidity, and temperature parameters.

2. The ventilator control and management method according to claim 1, characterized in that, After the weight ratio information is determined, the method for updating the weight ratio information includes: obtaining external environmental parameter information; performing matching analysis based on the detection interval and defined range information stored in the preset defined database to determine the defined range information corresponding to the detection interval; determining whether the parameter value corresponding to the external environmental parameter information is within the range corresponding to the defined range information; if the parameter value corresponding to the external environmental parameter information is within the range corresponding to the defined range information, then maintaining the weight ratio information; if the parameter value corresponding to the external environmental parameter information is not within the range corresponding to the defined range information, then determining the closest similar parameter information to the external environmental parameter information in the defined range information, and calculating the distance parameter information based on the external environmental parameter information and the similar parameter information; performing matching analysis based on the distance parameter information and correction value information stored in the preset correction database to determine the correction value information corresponding to the distance parameter information; and calculating and updating the weight ratio information based on the weight ratio information and the correction value information.

3. The ventilator control and management method according to claim 1, characterized in that, After the original interval is determined, the method for determining the change parameter information includes: delineating a judgment interval with a preset unit width at the endpoints of each detection interval on the time axis; calculating the change slope information based on the influence parameter information at the front and back ends of the judgment interval; determining whether the slope value corresponding to the change slope information is within the preset permissible range; if the slope value corresponding to the change slope information is within the permissible range, defining the influence parameter information at the endpoint of the detection interval as valid parameter information; if the slope value corresponding to the change slope information is not within the permissible range, calculating the corresponding slope information based on the influence parameter information at the front end of the judgment interval and the influence parameter information at each point in the judgment interval; defining the corresponding slope information within the permissible range as valid slope information, and defining the influence parameter information of the point in the judgment interval corresponding to the most recent valid slope information as valid parameter information at the endpoint of the detection interval; and calculating the change parameter information based on the valid parameter information at the front and back ends of the original interval.

4. The ventilator control and management method according to claim 3, characterized in that, After the corresponding slope information is determined, the method for determining the effective parameter information includes: determining whether the slope value corresponding to the corresponding slope information is within the permissible range; if the slope value corresponding to the corresponding slope information is within the permissible range, then the point corresponding to the corresponding slope information in the determination interval is defined as a valid point; if the slope value corresponding to the corresponding slope information is not within the permissible range, then the point corresponding to the corresponding slope information in the determination interval is defined as an invalid point; counting invalid points to determine the invalid quantity information, and calculating the invalid percentage information based on the invalid quantity information and unit value; determining whether the ratio corresponding to the invalid percentage information is greater than a preset upper limit value; if the ratio corresponding to the invalid percentage information is not greater than the upper limit value, then defining the corresponding effective slope information, and determining the effective parameter information based on the effective slope information; if the ratio corresponding to the invalid percentage information is greater than the upper limit value, then calculating the mean value based on the influence parameter information of each invalid point to determine the effective parameter information.

5. The ventilator control and management method according to claim 1, characterized in that, The method for determining the operation parameter information includes: matching and analyzing the detection intervals and operation parameter information stored in the preset operation database to determine the operation parameter information corresponding to the detection intervals; defining the first few detection intervals of the current original interval as the influence intervals, and calculating the deviation parameter information based on the operation parameter information and update parameter information of each influence interval; calculating the mean value based on the mean value based on each deviation parameter information, and calculating the update of the operation parameter information of the original interval based on the mean value and the corresponding operation parameter information.

6. A ventilator control and management system, characterized in that, include: The acquisition module is used to acquire current time information and influencing parameter information; the processing module is connected to the acquisition module and is used for information storage and processing. The processing module defines several adjacent detection intervals with a preset fixed width on a preset time axis, and determines the corresponding operational parameter information based on the detection intervals. The processing module determines the corresponding detection interval based on the current time information, defines this detection interval as the original interval, and defines the detection interval following and adjacent to the original interval as the adjacent interval. The processing module calculates the changed parameter information based on the influence parameter information at the front and back ends of the original interval. The processing module performs matching analysis based on the changed parameter information and adjustment parameter information stored in the preset adjustment database to determine the adjustment parameter information corresponding to the changed parameter information. The processing module calculates the updated parameter information based on the operational parameter information and adjustment parameter information of the adjacent intervals, and controls the ventilator in the adjacent intervals to perform operations with the parameters corresponding to the updated parameter information. The weight ratio determination module is used to obtain light parameter information, humidity parameter information, and temperature parameter information; The detection interval and weight ratio information stored in the preset weight database are matched and analyzed to determine the weight ratio information corresponding to the detection interval; The influencing parameters are determined by calculating the corresponding weight ratios based on the illumination, humidity, and temperature parameters, as well as the original intervals. The environmental parameter determination module is used to calculate and determine the parameter ratio information based on the light, humidity and temperature parameters. Determine whether the ratio value corresponding to the parameter ratio information is within the preset normal range; If the ratio value corresponding to the parameter ratio information is within the normal range, then the influencing parameter information is determined based on the light parameter information, humidity parameter information, and temperature parameter information. If the ratio value corresponding to the parameter ratio information is not within the normal range, then two fixed values ​​are determined sequentially from the light parameter information, humidity parameter information, and temperature parameter information, and the standard parameter information of another parameter is determined based on the two fixed values. The difference parameter information is determined by calculating based on the light, humidity, temperature and corresponding standard parameters. The system identifies the largest difference parameter from the difference parameter information and modifies the corresponding environmental values ​​to update the light, humidity, and temperature parameters. Based on the updated light, humidity, and temperature parameters, the system determines the influencing parameters.

7. A smart terminal, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer program is stored that can be loaded by a processor and executed according to any one of claims 1 to 5.

Citation Information

Patent Citations

  • CN111569206A