Plateau boiling point treatment method and device

Abstract

The invention discloses a plateau boiling point processing method and device in the field of boiling point testing, and the method comprises the following steps: step 1), heating equipment automatically enters a boiling point testing mode after being electrified for the first time, and the boiling point testing mode can be combined with a cleaning mode; and after entering the boiling point test mode, monitoring the temperature of water in real time, calculating the temperature rise rate of the water to judge the temperature change trend, measuring local air pressure data by using a barometer, and if detecting that the barometer is not installed, adopting barometer-free fuzzy control logic. By automatically testing the boiling point and taking the boiling point as the highest heating temperature, water is effectively prevented from being sprayed out due to excessive boiling, the probability of occurrence of safety accidents such as scalding and electric leakage is reduced, the personal and property safety of a user is guaranteed, the use safety is greatly improved, the self-adaptive algorithm is adopted, and the use safety is improved. Heating control is carried out according to the water temperature change trend and the fuzzy logic, unnecessary heating is avoided, energy consumption is reduced, and the energy utilization efficiency is improved.

Description

Technical Field

[0001] The invention relates to the field of boiling point testing, in particular to a plateau boiling point processing method and device. Background Art

[0002] With the improvement of people's living standards and the increase in outdoor activities, it is becoming increasingly common to use heating equipment to boil water in areas of varying altitudes, such as plateaus. Due to differences in altitude, the boiling point of water varies. In plateau areas, the boiling point of water is lower than 100°C at standard atmospheric pressure. When using conventional heating equipment in plateau areas, if the heating temperature is set higher than the local boiling point, the water will continue to boil and may spray out of the container, causing safety issues such as burns and electric leakage.

[0003] Currently, a common solution to this problem is for users to manually set the local boiling point or altitude. However, this approach has numerous drawbacks. For one thing, many users are unaware of the need for such settings; for another, even those who do know they need to set them find it difficult to obtain accurate local boiling point data. This results in an ineffective solution to this security issue, posing a potential safety hazard to users.

[0004] Therefore, those skilled in the art provide a high-boiling-point treatment method to solve the problems raised in the above background technology. Summary of the Invention

[0005] The object of the present invention is to provide a high-boiling-point treatment method to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A high-altitude boiling point treatment method comprises the following steps:

[0008] Step 1) After the heating device is powered on for the first time, it automatically enters the boiling point test mode, which can be combined with the cleaning mode. After entering the boiling point test mode, the water temperature is monitored in real time, and the water temperature rise rate is calculated to determine the temperature change trend. At the same time, a barometer is used to measure the local air pressure data. If it is detected that a barometer is not installed, the barometer-free fuzzy control logic is adopted;

[0009] Step 2), when there is a barometer, according to the pressure value measured by the barometer, the local boiling point T1 degrees Celsius is obtained by the pressure calculation theory, and the water temperature is first quickly heated to T2 degrees Celsius, where T2 = (T1-N), N is a buffer value, and the value range is 5-10; during the heating process, the program calculates the temperature rise value ΔT of this time period every 6 seconds, and the rise rate M is calculated according to the formula M = k*(6 / ΔT) (when ΔT = 0, that is, the temperature does not rise within 6 seconds, M is 7, and the maximum value of M is 7), take the last 3 sample calculation values ​​M1, M2, M3, and calculate the comprehensive value ΔM of 3 times = (1.4*M1+0.9*M2+0.7*M3) / 3; when When the calculated value ΔM ≥ 6 for three consecutive times, the water temperature is determined to be at the boiling point and heating is stopped; when ΔM ≤ 3.9, full-power rapid heating is performed; after the water temperature reaches T2 degrees Celsius, the time Δt1 required for each degree Celsius increase is detected, with each heating aiming to increase the temperature by 2 degrees Celsius. The heating time t1 = 2*Δt1, and the heating stop time t2 = 3*t1; during the second heating stop time, the temperature is checked to see if it has risen. If not, the next stop time t2 = 2.5*t1; if it has risen, t2 = 3.5*t1; after Z (Z ≥ 2) consecutive heating times, if no temperature rise is detected within t2, heating is stopped and the temperature at this time is recorded as the boiling point;

[0010] Step 3) When there is no barometer, assume a minimum boiling point T1 degrees Celsius based on the equipment usage environment, first quickly heat the water temperature to T2 degrees Celsius, and then perform heating control according to the fuzzy logic control method of subsequent heating with a barometer until the boiling point is found;

[0011] Step 4) The user can clear the recorded boiling point or manually set the boiling point through the human-machine interface. After setting the boiling point or after the device finds the boiling point, the subsequent heating of the machine will use this boiling point as the maximum heating temperature.

[0012] As a further solution of the present invention: heating number Z = base_Z + ΔZ;

[0013] base_Z = 5 (base value);

[0014] ΔZ=

[0015] 0 (when the average of the last three ΔM values ​​is ≥ 5);

[0016] 1 (when the average value of the last three ΔM is 4-5);

[0017] 2 (when the average of the last three ΔM is 3-4);

[0018] 3 (when the average of the last three ΔM values ​​is <3);

[0019] The heating times Z are determined by calculation and test data according to different heating appliances:

[0020]

[0021]

[0022] Fill in the test data from the experimental test into the table below to select the number of heating times of Z. Different heating devices have different data in the table, but the principle is the same. In the formula M=k*(6 / ΔT) in step 2), k is the calibration coefficient with a value range of 0.8-1.2 and a default value of 1. The k value is determined by experimental calibration based on the device model, and the k value of devices with different heating power is different.

[0023] As a further solution of the present invention: the buffer value N is an integer;

[0024] N = N_base + ΔN;

[0025] N_base=7 (base value);

[0026] ΔN=

[0027] -1 (when ambient temperature < 10°C);

[0028] +1 (when ambient temperature > 30°C);

[0029] 0 (other cases).

[0030] As a further solution of the present invention, the boiling point is further verified: after the boiling point T_b is determined for the first time, a secondary verification is performed, which specifically includes the following steps:

[0031] 1). Cool to T_b-5℃;

[0032] 2). Reheat and monitor the boiling point T_b2;

[0033] 3). If |T_b-T_b2|≤0.5℃, confirm it as the final boiling point;

[0034] 4). Otherwise, take the average value (T_b+T_b2) / 2 as the final boiling point.

[0035] As a further solution of the present invention, it also includes compensating for the impact on water quality:

[0036] When testing the heating time t_water from 80℃ to "boiling point -1℃";

[0037] Standard water quality t_water_std = 60 seconds (determined by experiment);

[0038] Compensation coefficient k_water = t_water / t_water_std;

[0039] Final boiling point T_final=T_detected+0.3*(k_water-1).

[0040] A plateau boiling point treatment device comprises a mode start module, a barometer control module, a non-barometer control module and a boiling point setting module;

[0041] As a further aspect of the present invention, the mode activation module is configured to automatically enter a boiling point test mode upon initial power-up of the heating device, the boiling point test mode being combinable with a cleaning mode. The module is also configured to monitor water temperature in real time, calculate the rate of temperature rise to determine a temperature change trend, and determine whether a barometer is installed. If not, the barometer-free fuzzy control logic is triggered.

[0042] As a further solution of the present invention, the barometer control module is used to determine the local boiling point T1 degrees Celsius based on the air pressure value measured by the barometer through air pressure calculation theory, and control the water temperature to be quickly heated to T2 degrees Celsius (T2 = (T1-N), N is a buffer value, and the value range is 5-10); during the heating process, according to the program, the temperature rise value ΔT is calculated every 6 seconds, the rise rate M and the comprehensive value ΔM are calculated, and corresponding heating control is performed according to the value of ΔM; when the water temperature reaches T2 degrees Celsius, the heating time t1 and the heating stop time t2 are controlled according to fuzzy logic, and the stop time is adjusted according to the temperature rise. When no temperature rise is detected within time t2 after Z (Z ≥ 2) consecutive heating times, heating is stopped and the temperature at that time is recorded as the boiling point;

[0043] As a further embodiment of the present invention, the barometer-less control module is configured to, when no barometer is detected, assume a minimum boiling point T1 degrees Celsius based on the operating environment of the device, and control the water temperature to be rapidly heated to T2 degrees Celsius, and then perform heating control according to the fuzzy logic control method for subsequent heating with a barometer until the boiling point is found;

[0044] As a further solution of the present invention: the boiling point setting module is used to provide a human-machine operation interface, allowing the user to clear the recorded boiling point or manually set the boiling point, and after the boiling point is set or the device finds the boiling point, the machine will use this boiling point as the maximum heating temperature for subsequent heating.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] 1. The present invention automatically tests the boiling point and uses it as the maximum heating temperature, effectively preventing water from spraying out due to excessive boiling, reducing the probability of safety accidents such as scalding and electric leakage, ensuring the personal and property safety of users, and greatly improving the safety of use. The invention adopts an adaptive algorithm to control heating according to the water temperature change trend and fuzzy logic, avoiding unnecessary heating, reducing energy consumption, and improving energy utilization efficiency. The verification of the boiling point and the compensation calculation of the influence of water quality can ensure that the final boiling point data is more accurate.

[0047] 2. The present invention can work normally whether equipped with a barometer or without one. It can also adapt to the difference in boiling points at different altitudes and the influence of different water qualities on boiling points, and has a wide range of applications.

[0048] 3. The present invention can omit the barometer in design, thereby reducing the bill of materials (BOM) cost of the equipment without affecting the realization of its core functions, and has a high cost-effectiveness. DETAILED DESCRIPTION

[0049] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0050] In an embodiment of the present invention, a plateau boiling point treatment method comprises the following steps: 1.

[0051] Step 1) After the heating device is powered on for the first time, it automatically enters the boiling point test mode, which can be combined with the cleaning mode. After entering the boiling point test mode, the water temperature is monitored in real time, and the water temperature rise rate is calculated to determine the temperature change trend. At the same time, a barometer is used to measure the local air pressure data. If it is detected that a barometer is not installed, a barometer-free fuzzy control logic is used to enhance the flexibility of the solution and reduce user costs.

[0052] Step 2), when there is a barometer, according to the pressure value measured by the barometer, the local boiling point T1 degrees Celsius is obtained by the pressure calculation theory, and the water temperature is first quickly heated to T2 degrees Celsius, where T2 = (T1-N), N is a buffer value, and the value range is 5-10; during the heating process, the program calculates the temperature rise value ΔT of this time period every 6 seconds, and the rise rate M is calculated according to the formula M = k*(6 / ΔT) (when ΔT = 0, that is, the temperature does not rise within 6 seconds, M is 7, and the maximum value of M is 7), take the last 3 sample calculation values ​​M1, M2, M3, and calculate the comprehensive value ΔM of 3 times = (1.4*M1+0.9*M2+0.7*M3) / 3; when When the calculated value ΔM ≥ 6 for three consecutive times, the water temperature is determined to be at the boiling point and heating is stopped; when ΔM ≤ 3.9, full-power rapid heating is performed; after the water temperature reaches T2 degrees Celsius, the time Δt1 required for each degree Celsius increase is detected, with each heating aiming to increase the temperature by 2 degrees Celsius. The heating time t1 = 2*Δt1, and the heating stop time t2 = 3*t1; during the second heating stop time, the temperature is checked to see if it has risen. If not, the next stop time t2 = 2.5*t1; if it has risen, t2 = 3.5*t1; after Z (Z ≥ 2) consecutive heating times, if no temperature rise is detected within t2, heating is stopped and the temperature at this time is recorded as the boiling point;

[0053] Step 3) When there is no barometer, assume a minimum boiling point T1 degrees Celsius based on the equipment usage environment, first quickly heat the water temperature to T2 degrees Celsius, and then perform heating control according to the fuzzy logic control method of subsequent heating with a barometer until the boiling point is found;

[0054] Step 4) The user can clear the recorded boiling point or manually set the boiling point through the human-machine interface. After setting the boiling point or after the device finds the boiling point, the subsequent heating of the machine will use this boiling point as the maximum heating temperature.

[0055] By adopting the above technical solution, by automatically testing the boiling point and using it as the maximum heating temperature, water spraying due to over-boiling is effectively avoided, the probability of safety accidents such as scalding and electric leakage is reduced, the personal and property safety of users is guaranteed, and the safety of use is greatly improved. An adaptive algorithm is used to control heating according to the water temperature change trend and fuzzy logic, avoiding unnecessary heating, reducing energy consumption, and improving energy efficiency. It can work normally whether equipped with a barometer or without a barometer. It can also adapt to the differences in boiling points at different altitudes and the impact of different water qualities on boiling points, with a wide range of applications. In terms of design, the barometer can be omitted, reducing the equipment's bill of materials (BOM) cost without affecting the realization of its core functions, and has a high cost-effectiveness.

[0056] Wherein, the number of heating times Z = base_Z + ΔZ;

[0057] base_Z = 5 (base value);

[0058] ΔZ=

[0059] 0 (when the average of the last three ΔM values ​​is ≥ 5);

[0060] 1 (when the average value of the last three ΔM is 4-5);

[0061] 2 (when the average of the last three ΔM is 3-4);

[0062] 3 (when the average of the last three ΔM values ​​is <3);

[0063] The heating times Z are determined by calculation and test data according to different heating appliances:

[0064]

[0065]

[0066] Fill in the test data from the experimental test into the table below to select the number of heating times of Z. Different heating devices have different data in the table, but the principle is the same. In the formula M=k*(6 / ΔT) in step 2), k is the calibration coefficient with a value range of 0.8-1.2 and a default value of 1. The k value is determined by experimental calibration based on the device model, and the k value of devices with different heating power is different.

[0067] Wherein, the buffer value N is an integer;

[0068] N = N_base + ΔN;

[0069] N_base=7 (base value);

[0070] ΔN=

[0071] -1 (when ambient temperature < 10°C);

[0072] +1 (when ambient temperature > 30°C);

[0073] 0 (other cases).

[0074] In this embodiment, the boiling point is further verified: after the boiling point T_b is determined for the first time, a secondary verification is performed, specifically including the following steps:

[0075] 1). Cool to T_b-5℃;

[0076] 2). Reheat and monitor the boiling point T_b2;

[0077] 3). If |T_b-T_b2|≤0.5℃, confirm it as the final boiling point;

[0078] 4). Otherwise, take the average value (T_b+T_b2) / 2 as the final boiling point.

[0079] In this embodiment, compensation for water quality impact is also included:

[0080] When testing the heating time t_water from 80℃ to "boiling point -1℃";

[0081] Standard water quality t_water_std = 60 seconds (determined by experiment);

[0082] Compensation coefficient k_water = t_water / t_water_std;

[0083] Final boiling point T_final=T_detected+0.3*(k_water-1).

[0084] It can verify the boiling point and compensate for the influence of water quality, ensuring that the final boiling point data is more accurate.

[0085] A plateau boiling point treatment device comprises a mode start module, a barometer control module, a non-barometer control module and a boiling point setting module;

[0086] The mode start module is used to automatically enter the boiling point test mode after the heating device is powered on for the first time. The boiling point test mode can be combined with the cleaning mode. The module is also used to monitor the water temperature in real time, calculate the water temperature rise rate to determine the temperature change trend, and determine whether a barometer is installed. If not, the no-barometer fuzzy control logic is triggered.

[0087] The barometer control module is used to calculate the local boiling point T1 degrees Celsius based on the air pressure value measured by the barometer through air pressure calculation theory, and control the water temperature to be quickly heated to T2 degrees Celsius (T2 = (T1-N), N is a buffer value, and the value range is 5-10); during the heating process, the temperature rise value ΔT is calculated every 6 seconds according to the program, the rise rate M and the comprehensive value ΔM are calculated, and corresponding heating control is performed according to the value of ΔM; when the water temperature reaches T2 degrees Celsius, the heating time t1 and the heating stop time t2 are controlled according to fuzzy logic, and the stop time is adjusted according to the temperature rise. When no temperature rise is detected within t2 time after continuous heating Z (Z ≥ 2) times, heating is stopped and the temperature at this time is recorded as the boiling point;

[0088] The barometer-less control module is configured to, when no barometer is detected, assume a minimum boiling point T1 degrees Celsius based on the equipment's operating environment, rapidly heat the water to T2 degrees Celsius, and then perform heating control in accordance with the fuzzy logic control method for subsequent heating with a barometer until the boiling point is found.

[0089] Among them, the boiling point setting module is used to provide a human-machine operation interface, allowing the user to clear the recorded boiling point or manually set the boiling point, and after the boiling point is set or the device finds the boiling point, the machine will use this boiling point as the maximum heating temperature for subsequent heating.

[0090] Example 1

[0091] With a barometer

[0092] For example, when a certain brand of electric kettle is used at an altitude of 3,000 meters, it will enter boiling point test mode after being powered on for the first time.

[0093] The barometer measures the local air pressure data. The local boiling point T1 is about 90°C according to the air pressure calculation theory. The buffer value N is set to 8, and the water temperature is first quickly heated to T2 = 90-8 = 82°C.

[0094] During the heating process, the program calculates the temperature rise value ΔT every 6 seconds. Assuming that at a certain stage, the calculated values ​​M1 = 5, M2 = 5, and M3 = 5 for three consecutive times, the calculated comprehensive value ΔM = (1.45 + 0.95 + 0.7 * 5) / 3 = 5.67. Since ΔM ≤ 3.9, it conforms to the water temperature change trend, and full-power rapid heating is performed.

[0095] When the water temperature reaches 82°C, the time Δt1 required for each degree Celsius rise is detected to be 10 seconds. Therefore, the heating time t1 = 210 = 20 seconds, and the heating stop time t2 = 320 = 60 seconds. During the second heating stop time, the temperature is checked. If the temperature rises, the next stop time t2 = 3.520 = 70 seconds; if it does not rise, t2 = 2.520 = 50 seconds.

[0096] After multiple heating cycles and temperature checks, after the seventh heating cycle, the temperature remained unchanged during the heating stop time. The recorded water temperature of 89.5°C was the local boiling point. Subsequent use of the kettle would not exceed this boiling point, effectively avoiding the risk of water over-boiling and spitting out, ensuring safety. This also verified the reliability and practicality of this method in the presence of a barometer.

[0097] Example 2

[0098] No barometer

[0099] At another plateau at an altitude of 4,000 meters, a portable heating cup without a barometer was used. After being powered on for the first time, it entered the boiling point test mode.

[0100] Assuming that the lowest boiling point T1 is 85°C based on the equipment usage environment, first quickly heat the water temperature to T2 = 80°C.

[0101] Subsequently, heating is performed in the same fuzzy logic control method as in the case with a barometer, that is, the time Δt1 required for each increase of 1 degree Celsius is detected, the heating time t1 and the heating stop time t2 are calculated, and the stop time is adjusted according to the temperature rise.

[0102] After multiple heating and testing, the local boiling point was finally determined to be 84°C. Users can clear the boiling point record or manually set a different boiling point value through the human-machine interface for easy subsequent use, fully demonstrating the invention's consideration of user convenience and meeting the diverse needs of different users.

[0103] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A plateau boiling point treatment method, characterized in that: The steps include: Step 1) After the heating device is powered on for the first time, it automatically enters the boiling point test mode, which can be combined with the cleaning mode. After entering the boiling point test mode, the water temperature is monitored in real time, and the water temperature rise rate is calculated to determine the temperature change trend. At the same time, a barometer is used to measure the local air pressure data. If it is detected that a barometer is not installed, the barometer-free fuzzy control logic is adopted; Step 2), when there is a barometer, according to the pressure value measured by the barometer, the local boiling point T1 degrees Celsius is obtained by the pressure calculation theory, and the water temperature is first quickly heated to T2 degrees Celsius, where T2 = (T1-N), N is a buffer value, and the value range is 5-10; during the heating process, the program calculates the temperature rise value ΔT of this time period every 6 seconds, and the rise rate M is calculated according to the formula M = k*(6 / ΔT) (when ΔT = 0, that is, the temperature does not rise within 6 seconds, M is 7, and the maximum value of M is 7), take the last 3 sample calculation values ​​M1, M2, M3, and calculate the comprehensive value ΔM of 3 times = (1.4*M1+0.9*M2+0.7*M3) / 3; when When the calculated value ΔM ≥ 6 for three consecutive times, the water temperature is determined to be at the boiling point and heating is stopped. When ΔM ≤ 3.9, full-power rapid heating is performed. After the water temperature reaches T2 degrees Celsius, the time Δt1 required for each degree Celsius increase is detected. The goal of each heating is to increase the temperature by 2 degrees Celsius. The heating time t1 = 2*Δt1, and the heating stop time t2 = 3*t1. During the second heating stop time, check whether the temperature has risen. If not, the next stop time t2 = 2.5*t1; if it has risen, t2 = 3.5*t1. After z (z ≥ 2) consecutive heating times, if no temperature rise is detected within t2, heating is stopped and the temperature at this time is recorded as the boiling point. Step 3) When there is no barometer, assume a minimum boiling point T1 degrees Celsius based on the equipment usage environment, first quickly heat the water temperature to T2 degrees Celsius, and then perform heating control according to the fuzzy logic control method of subsequent heating with a barometer until the boiling point is found; Step 4) The user can clear the recorded boiling point or manually set the boiling point through the human-machine interface. After setting the boiling point or after the device finds the boiling point, the subsequent heating of the machine will use this boiling point as the maximum heating temperature.

2. The high-boiling-point treatment method according to claim 1, wherein: Heating times z = base_z + Δz; base_Z = 5 (base value); ΔZ= 0 (when the average of the last three ΔM values ​​is ≥ 5); 1 (when the average value of the last three ΔM is 4-5); 2 (when the average of the last three ΔM is 3-4); 3 (when the average of the last three ΔM values ​​is <3); The heating times z are determined by calculation and test data based on different heating devices; In the formula M=k*(6 / ΔT) in step 2), k is a calibration coefficient with a value range of 0.8-1.2 and a default value of 1. The k value is determined by experimental calibration according to the equipment model, and the k value of equipment with different heating power is different.

3. The high boiling point treatment method according to claim 1, wherein: The buffer value N is an integer; N = N_base + ΔN; N_base=7 (base value); ΔN= -1 (when ambient temperature < 10°C); +1 (when ambient temperature > 30°C); 0 (other cases).

4. The high-boiling-point treatment method according to claim 1, wherein: The boiling point is further verified: after the boiling point Tb is determined for the first time, a secondary verification is performed, specifically including the following steps: 1). Cool to T_b-5℃; 2). Reheat and monitor the boiling point Tb2; 3). If |T_b-T_b2|≤0.5℃, confirm it as the final boiling point; 4). Otherwise, take the average value (T_b+T_b2) / 2 as the final boiling point.

5. The high-boiling-point treatment method according to claim 1, characterized in that: Also included is compensation for water quality impacts: When testing the heating time t_water from 80°C to "boiling point -1°C"; Standard water quality t_water_std = 60 seconds (determined by experiment); Compensation coefficient k_water = t_water / t_water_std; Final boiling point T_final=T_detected+0.3*(k_water-1).

6. A high-boiling-point treatment device, using the high-boiling-point treatment method according to any one of claims 1 to 5, characterized in that: It includes a mode start module, a barometer control module, a non-barometer control module and a boiling point setting module.

7. The high-altitude boiling point treatment device according to claim 6, characterized in that: The mode startup module is used to automatically enter the boiling point test mode after the heating device is powered on for the first time. The boiling point test mode can be combined with the cleaning mode. The module is also used to monitor the water temperature in real time, calculate the water temperature rise rate to determine the temperature change trend, and determine whether a barometer is installed. If not, the barometer-free fuzzy control logic is triggered.

8. The high-altitude boiling point treatment device according to claim 6, characterized in that: The barometer control module is used to calculate the local boiling point T1 degrees Celsius based on the air pressure value measured by the barometer through air pressure calculation theory, and control the water temperature to be quickly heated to T2 degrees Celsius (T2 = (T1-N), N is a buffer value, and the value range is 5-10); during the heating process, the temperature rise value ΔT is calculated every 6 seconds according to the program, the rise rate M and the comprehensive value ΔM are calculated, and corresponding heating control is performed according to the value of ΔM; when the water temperature reaches T2 degrees Celsius, the heating time t1 and the heating stop time t2 are controlled according to fuzzy logic, and the stop time is adjusted according to the temperature rise. When no temperature rise is detected within the t2 time after continuous heating z (z≥2) times, the heating is stopped and the temperature at this time is recorded as the boiling point.

9. The high-altitude boiling point treatment device according to claim 6, characterized in that: The barometer-less control module is used to assume a minimum boiling point T1 degrees Celsius based on the equipment usage environment when no barometer is detected, control the water temperature to be quickly heated to T2 degrees Celsius, and then perform heating control according to the fuzzy logic control method of subsequent heating with a barometer until the boiling point is found.

10. The high-altitude boiling point treatment device according to claim 6, characterized in that: The boiling point setting module is used to provide a human-machine operation interface, allowing the user to clear the recorded boiling point or manually set the boiling point, and after the boiling point is set or the device finds the boiling point, the machine will use this boiling point as the maximum heating temperature for subsequent heating.

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