Method for quantitatively evaluating the drying effect of an appliance

Abstract

The application discloses a kind of equipment drying effect quantitative evaluation method, it belongs to medical equipment drying technical field.It solves the defect that traditional equipment drying cannot real-time feedback the drying effect of equipment in drying process in prior art.The main structure includes steps S1: temperature and humidity sensor is set in the exhaust port position of drying equipment, and the temperature and humidity data of hot air are collected in real time by temperature and humidity sensor;S2: according to temperature and humidity data, the drying degree value of equipment is calculated in real time according to the mathematical model, and the running time of drying stage is automatically controlled according to the set drying degree threshold;S3: according to the mathematical model in step S2, linear model and / or exponential model are used to quantitatively evaluate drying effect.The application is mainly used for evaluating the drying effect of equipment.

Description

Technical Field

[0001] This invention belongs to the field of medical device drying technology, and more specifically, it relates to a method for quantitatively evaluating the drying effect of medical devices. Background Technology

[0002] The medical drying cabinet is a large-capacity medical drying device developed to meet the needs of hospitals. It is used to dry surgical instruments, glassware, and respiratory therapy supplies. It is simple and flexible to operate, with a drying temperature setting range of 40℃ to 90℃ and a drying time setting range of 1 minute to 999 minutes, which users can freely adjust according to their needs. The equipment is available in single-door and double-door configurations to suit the needs of different departments in hospitals.

[0003] Existing instruments use a fixed time to control the drying process during the drying stage. When the equipment is loaded with too much or too little, the drying time may be set incorrectly, resulting in either the instrument being completely dry but the equipment still running, or the equipment having stopped drying but the instrument still being poorly dried.

[0004] For example, Chinese Patent Application No. 201910782043.2 discloses a method for drying medical devices. It uses alternating cycles of vacuuming and evacuation to break the gaps in the medical device that are sealed by a water film, while removing some water stains from the surface of the medical device. Then, the medical device is dried at high temperature under constant pressure, so that the compressed air can fully contact the gaps in the medical device and effectively remove water stains from the gaps. However, this method controls the drying effect by time, which may lead to incomplete drying or wasted drying time for different loads. It also cannot provide real-time feedback on the drying effect of the device during the drying process. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a method for quantitatively evaluating the drying effect of medical devices. This method uses sensors to monitor the temperature and humidity data of the equipment's exhaust vent in real time and establishes a mathematical model containing two variables to achieve the purpose of quantitatively evaluating the drying effect of medical devices.

[0006] To achieve the above objectives, the present invention employs the following technical solution:

[0007] A method for quantitatively evaluating the drying effect of medical devices includes the following steps:

[0008] S1: Install a temperature and humidity sensor at the exhaust vent of the drying equipment to collect the temperature and humidity data of the hot air in real time.

[0009] S2: Establish a mathematical model based on temperature and humidity data and calculate the dryness value of the instrument in real time, and automatically control the running time of the drying stage according to the set dryness threshold.

[0010] S3: Based on the mathematical model in step S2, use a linear model and / or an exponential model to quantitatively evaluate the drying effect.

[0011] Preferably, the calculation formula for evaluating the drying effect of the instrument using the linear model is as follows:

[0012] Formula (1)

[0013] In the formula, m The dryness degree refers to the evaluation value of the equipment's drying effect, which ranges from [0, 1]. m 1 refers to temperature-related dryness, with a value range of [0, 1]. m 2 refers to the humidity-related dryness level, with a value range of [0, 1]. m Temperature assessment value coefficient ，n This refers to the humidity assessment coefficient, and m and n The following relationship must be satisfied:

[0014] . Formula (2)

[0015] Preferably, m The formula for calculating 1 is:

[0016] Formula (3)

[0017] In the formula, T 1 is the upper limit of the hot air temperature set for the drying stage; T 2 is the lower limit of the hot air temperature set for the drying stage, which is generally the room temperature value under the current environment; T This refers to the temperature data collected in real time at a specific moment.

[0018] Preferably, m The formula for calculating 2 is:

[0019] Formula (4)

[0020] In the formula, H 1 represents the upper limit of humidity during the drying stage, with a maximum value of 100%. H 2 represents the lower limit of humidity during the drying stage, with an extreme value of 0. H This refers to the humidity data collected in real time at a specific moment.

[0021] Preferably, the equipment drying effect evaluation value is obtained by substituting formulas (2) to (4) into formula (1). m The calculation formula is:

[0022] Formula (5)

[0023] Preferably, the calculation formula for evaluating the drying effect of the instrument using the index model is as follows:

[0024] Formula (1-1)

[0025] In the formula, m The dryness degree refers to the evaluation value of the equipment's drying effect, which ranges from [0, 1]. m 1 refers to temperature-related dryness, with a value range of [0, 1]. m 2 refers to the humidity-related dryness level, with a value range of [0, 1]. m Temperature assessment value coefficient ，n This refers to the humidity assessment coefficient, and m and n The following relationship must be satisfied:

[0026] . Formula (2-1)

[0027] Preferably, m The formula for calculating 1 is:

[0028] Formula (7)

[0029] In the formula, when T When the upper limit of hot air temperature is reached m 1 is 1; when T When the lower limit of hot air temperature is reached m 1 represents 0, and generally uses the room temperature value under the current environment; T This refers to the temperature data collected in real time at a specific moment.

[0030] Preferably, m The formula for calculating 2 is:

[0031] Formula (8)

[0032] In the formula, when H When the humidity reaches the upper limit of the drying stage (the limit is 100%), m 1 is 0; when H When the humidity reaches the lower limit of the drying stage (the limit value is 0), m 1 is 1; H This refers to the humidity data collected in real time at a specific moment.

[0033] Preferably, the equipment drying effect evaluation value is obtained by substituting formulas (2-1), (7), and (8) into formula (1-1). m The calculation formula is:

[0034] . Formula (9)

[0035] Compared with the prior art, the beneficial effects of the present invention are:

[0036] This invention establishes a real-time online monitoring method for the dryness of medical devices during the drying stage, avoiding unqualified drying due to changes in external conditions. It utilizes sensors to monitor the temperature and humidity data of the equipment's exhaust vent in real time, and establishes a mathematical model containing two variables to quantitatively evaluate the drying effect of the medical devices. This solves the problem in the prior art that controls the drying effect by time, which may result in incomplete drying or wasted drying time for different loads. Attached Figure Description

[0037] Figure 1 This is a diagram showing the stage division of the original temperature and humidity curve in this invention;

[0038] Figure 2 This is a sensitivity analysis diagram of dryness at stage AB when using a linear model for evaluation in this invention;

[0039] Figure 3 This is a sensitivity analysis diagram of dryness in the CD stage when using a linear model for evaluation in this invention;

[0040] Figure 4 This is a sensitivity analysis diagram of dryness at stages AB when using an exponential model for evaluation in this invention;

[0041] Figure 5 This is a sensitivity analysis diagram of dryness in the CD stage when using the exponential model for evaluation in this invention;

[0042] Figure 6 This is a comparison chart of linear model evaluation and exponential model evaluation in this invention. Detailed Implementation

[0043] The present invention will be further described below through specific embodiments and in conjunction with the accompanying drawings.

[0044] Example 1:

[0045] This invention establishes a mathematical model reflecting the dryness of medical instruments based on online data collected by temperature and humidity sensors. This model provides real-time feedback on the drying status of the instruments and automatically controls the drying stage's duration based on a set dryness threshold. Relevant data was collected using an experimental prototype, and the model was built. The relationship between temperature and humidity data collected at the equipment's exhaust vent and time during the drying stage is shown below. Figure 1 As shown in the figure, a pulsed drying method with two hot air inlets was used in the drying stage. It can be observed that during the continuous hot air inlet stage, the temperature at the exhaust vent gradually increases and the humidity gradually decreases.

[0046] A method for quantitatively evaluating the drying effect of medical devices includes the following steps:

[0047] S1: Install a temperature and humidity sensor at the exhaust vent of the drying equipment to collect the temperature and humidity data of the hot air in real time.

[0048] S2: Establish a mathematical model based on temperature and humidity data and calculate the dryness value of the instrument in real time, and automatically control the running time of the drying stage according to the set dryness threshold.

[0049] S3: Based on the mathematical model in step S2, use a linear model and / or an exponential model to quantitatively evaluate the drying effect.

[0050] Example 2:

[0051] A method for quantitatively evaluating the drying effect of medical devices, wherein the linear model is used to calculate the drying effect of medical devices using the following formula:

[0052] Formula (1)

[0053] In the formula, m The dryness degree refers to the evaluation value of the equipment's drying effect, which ranges from [0, 1]. m 1 refers to temperature-related dryness, with a value range of [0, 1]. m 2 refers to the humidity-related dryness level, with a value range of [0, 1]. m Temperature assessment value coefficient ，n This refers to the humidity assessment coefficient, and m and n The following relationship must be satisfied:

[0054] . Formula (2)

[0055] m The formula for calculating 1 is:

[0056] Formula (3)

[0057] In the formula, T 1 is the upper limit of the hot air temperature set for the drying stage; T 2 is the lower limit of the hot air temperature set for the drying stage, which is generally the room temperature value under the current environment; T This refers to the temperature data collected in real time at a specific moment.

[0058] m The formula for calculating 2 is:

[0059] Formula (4)

[0060] In the formula, H 1 represents the upper limit of humidity during the drying stage, with a maximum value of 100%. H 2 represents the lower limit of humidity during the drying stage, with an extreme value of 0. H This refers to the humidity data collected in real time at a specific moment.

[0061] Substituting formulas (2) to (4) into formula (1) yields the equipment drying effect evaluation value. m The calculation formula is:

[0062] Formula (5)

[0063] The specific example analysis in this embodiment is as follows:

[0064] like Figure 1 As shown, at time A, the equipment first enters the hot air drying stage, with a humidity of 78.8% and a temperature of 52.1℃; at time B, the first hot air drying stage ends, with a humidity of 8.8% and a temperature of 71.1℃; from time B to time C, it is a vacuum drying process. During this time, the data collected by the sensors is mainly environmental data and cannot directly reflect the degree of dryness of the equipment; at time C, the equipment enters the hot air drying stage for the second time, with a humidity of 47.8% and a temperature of 66.6℃; at time D, the second hot air drying stage ends, with a humidity of 3.6% and a temperature of 78℃.

[0065] The room temperature in the verification mode is 25°C, therefore T 2=25, in the actual algorithm, temperatures below 25℃ are calculated as 25℃; the upper limit of the drying temperature is set at 100℃, therefore T 1=100, and in the actual algorithm, temperature values ​​above 100℃ are calculated as 100℃.

[0066] Through actual verification and analysis, the humidity value measured by the sensor is 100% when the moisture content is at its highest during the drying stage. Therefore H 1=100%; the humidity value measured by the sensor when the instrument is completely dry during the drying stage is 3%, therefore H 2 = 3%.

[0067] The instrument is completely dry at time D, therefore, in this model, the degree of dryness is... m It is more sensitive to humidity levels, therefore in the setting m The value should be less than 0.5.

[0068] Substituting the above values ​​into formula (5), we get the following simplified formula:

[0069] Formula (6)

[0070] Substituting the temperature and humidity values ​​at times A, B, C, and D into formula (6), the following drying effect evaluation values ​​are obtained:

[0071] Table 1. Dryness analysis of key nodes under the linear model

[0072]

[0073] Analyzing the data in Table 1, based on the actual operating conditions of the equipment, the equipment was completely dry at time D; it was not completely dry at time B. To ensure the equipment is fully dried, a certain margin of dryness should be allowed. Take [data missing]. m, =0.1, m, =0.2, m, =0.3, m, =0.4, m, Sensitivity analysis of dryness was performed on stages AB and CD using a coefficient of 0.5, and the following plots were generated. Figure 2-Figure 3 As shown.

[0074] Based on the actual situation, the instruments were still relatively wet during stages AB, while in the later stages of stages CD, the instruments gradually became completely dry. A dryness threshold of 90% was set, and when the threshold was 0.3, the curve more accurately reflected the drying effect of the instruments.

[0075] Example 3:

[0076] A method for quantitatively evaluating the drying effect of medical devices, wherein the calculation formula for evaluating the drying effect of medical devices using the index model is as follows:

[0077] Formula (1-1)

[0078] In the formula, m The dryness degree refers to the evaluation value of the equipment's drying effect, which ranges from [0, 1]. m 1 refers to temperature-related dryness, with a value range of [0, 1]. m 2 refers to the humidity-related dryness level, with a value range of [0, 1]. m Temperature assessment value coefficient ，n This refers to the humidity assessment coefficient, and m and n The following relationship must be satisfied:

[0079] . Formula (2-1)

[0080] Based on actual conditions, higher temperatures correspond to higher dryness; therefore, an increasing function of the natural exponential function is used for modeling, where... m The formula for calculating 1 is:

[0081] Formula (7)

[0082] In the formula, when T When the upper limit of hot air temperature is reached m 1 is 1; when T When the lower limit of hot air temperature is reached m 1 represents 0, and generally uses the room temperature value under the current environment; T This refers to the temperature data collected in real time at a specific moment.

[0083] Based on actual conditions, higher humidity corresponds to lower dryness; therefore, a decreasing function of the natural exponential function is used for modeling. m The formula for calculating 2 is:

[0084] Formula (8)

[0085] In the formula, when H When the humidity reaches the upper limit of the drying stage (the limit is 100%), m 1 is 0; when H When the humidity reaches the lower limit of the drying stage (the limit value is 0), m 1 is 1; H This refers to the humidity data collected in real time at a specific moment.

[0086] Substituting formulas (2-1), (7), and (8) into formula (1-1) yields the equipment's instrument drying effect evaluation value. m The calculation formula is:

[0087] . Formula (9)

[0088] The specific example analysis in this embodiment is as follows:

[0089] In the verification mode, the lower limit of the temperature is room temperature of 25℃. In the actual algorithm, temperature values ​​below 25℃ are calculated as 25℃. The upper limit of the drying temperature is set to 100℃. In the actual algorithm, temperature values ​​above 100℃ are calculated as 100℃.

[0090] Through actual verification and analysis, the humidity value measured by the sensor was 100% when the moisture content was at its highest during the drying stage. m 2 is 0; during the drying stage, when the instrument is completely dry, the humidity value measured by the sensor is 0. m 2 equals 1.

[0091] Substituting the values ​​under the above limit conditions into formulas (7) and (8), we can determine them sequentially. a , b, c , d The value of .

[0092] Substituting the above values ​​into formula (5), we get the following simplified formula:

[0093] Formula (10)

[0094] Substituting the temperature and humidity values ​​at times A, B, C, and D into formula (10), the following drying effect evaluation values ​​are obtained:

[0095] Table 2. Dryness analysis of key nodes under the index model

[0096]

[0097] Analyzing the data in Table 2, based on the actual operating conditions of the equipment, the equipment was completely dry at time D; it was not completely dry at time B. To ensure the equipment is fully dried, a certain margin of dryness should be allowed. Take... m, =0.1, m, =0.2, m, =0.3, m, =0.4, m, Sensitivity analysis of dryness was performed on stages AB and CD using a coefficient of 0.5, and the following plots were generated. Figure 4-Figure 5 As shown.

[0098] Based on the actual situation, the instruments were still relatively wet during stages AB, while in the later stages of stages CD, the instruments gradually became completely dry. The acceptable threshold for dryness was set at 85%, and when the threshold was 0.3, the curve more accurately reflected the drying effect of the instruments.

[0099] Comparison of linear and exponential models in evaluating the drying effect of instruments:

[0100] To quantify dryness, this invention establishes both linear and exponential models for real-time online monitoring. To select the optimal model, a new set of temperature and humidity data was collected during the drying process using sensors (actual observation confirmed that the instrument ultimately achieved complete dryness). The calculation results from the two models are then presented and compared. Figure 6 As shown:

[0101] observe Figure 6 As can be seen from the two curves, the dryness evolution trends of the exponential model and the linear model are highly consistent. The final dryness quantification value of the linear model is 91.97% (the qualified threshold of the linear model is 90%), while the final dryness quantification value of the exponential model is 86.2% (the qualified threshold of the exponential model is 85%).

[0102] The comparison shows that the two models have consistent effectiveness in assessing dryness. According to the methods described in Examples 2 and 3, both the linear and exponential models can achieve relatively accurate online dryness monitoring values.

[0103] Additionally, it should be noted that the correlation coefficients in this invention are calculated based on data collected from specific devices, and the specific coefficients should be calculated based on the specific operating conditions of the devices.

Claims

1. A method for quantitatively evaluating the drying effect of medical devices, characterized in that: Includes the following steps: S1: Install a temperature and humidity sensor at the exhaust vent of the drying equipment to collect the temperature and humidity data of the hot air in real time. S2: Establish a mathematical model based on temperature and humidity data and calculate the dryness value of the instrument in real time; S3: Based on the mathematical model in step S2, use a linear model or an exponential model to quantitatively evaluate the drying effect; The calculation formula for evaluating the drying effect of the instrument using the linear or exponential model is as follows: Official (1) In the formula, The dryness degree refers to the evaluation value of the equipment's drying effect, which ranges from [0, 1]. This refers to temperature-related dryness, with a value range of [0, 1]. This refers to the humidity-related dryness level, with a value range of [0, 1]. m Temperature assessment value coefficient ，n This refers to the humidity assessment coefficient, and m and n The following relationship must be satisfied: m + n = Formula (2) Among them, when using a linear model The calculation formula is: Official (3) In the formula, T 1 is the upper limit of the hot air temperature set for the drying stage; T 2 is the lower limit of the hot air temperature set for the drying stage, which is generally the room temperature value under the current environment; T This refers to the temperature data collected in real time at a specific moment. When using a linear model The calculation formula is: Official (4) In the formula, H 1 represents the upper limit of humidity during the drying stage, with a maximum value of 100%. H 2 represents the lower limit of humidity during the drying stage, with an extreme value of 0. H This refers to the humidity data collected in real time at a specific moment. Among them, when using the exponential model The calculation formula is: Official (7) In the formula, when T When the upper limit of hot air temperature is reached =1; when T When the lower limit of hot air temperature is reached The value is 0, which is generally the room temperature value under the current environment; T This refers to the temperature data collected in real time at a specific moment. When using the exponential model The calculation formula is: Official (8) In the formula, when H When the humidity reaches the upper limit of the drying stage, i.e., the limit value is 100%, =0; when H When the humidity reaches the lower limit of the drying stage, i.e., the limit value is 0, =1; H The humidity value data is collected in real time at a certain moment; by substituting the values ​​under the above extreme conditions into formulas (7) and (8), the values ​​of a, b, c, and d can be determined in turn.

2. The method for quantitatively evaluating the drying effect of medical devices according to claim 1, characterized in that: Substituting formulas (2) to (4) into formula (1) yields the equipment drying effect evaluation value. The calculation formula is: Official (5).

3. The method for quantitatively evaluating the drying effect of medical devices according to claim 1, characterized in that: Substituting formulas (2), (7), and (8) into formula (1) yields the equipment drying effect evaluation value. The calculation formula is: Official (9).

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