Control method of intelligent steaming oven and intelligent steaming oven

Abstract

The invention discloses a control method of an intelligent steaming oven and the intelligent steaming oven, and the method comprises the steps: obtaining a first resistance value of a thermistor in a detection probe in contact with target food under the condition that the target food in the intelligent steaming oven is in a cooking state; determining a current temperature value of the target food according to the first resistance value; if the current temperature value is smaller than the target temperature threshold value, the resistance value of a solution resistor in the detection probe is periodically collected, and the respective corresponding resistance values of the solution resistor at at least two collection moments are obtained; according to the respective corresponding resistance values, resistance concentration conversion coefficients and target concentration compensation coefficients at the at least two collection moments, determining respective corresponding total dissolved solid values of the target food at the at least two collection moments, and generating a current cooking strategy; and cooking the target food based on the current cooking strategy. According to the application, the cooking effect of the food is improved by detecting the total dissolved solid value in the target food in real time at different temperatures.

Description

Technical Field

[0001] This application relates to the field of intelligent electrical appliance technology, and in particular to a control method for an intelligent steam oven and an intelligent steam oven. Background Technology

[0002] With the rapid development of smart home appliance technology, the intelligence and precision of kitchen equipment have become important trends. In the process of cooking meat, methods are often used to indirectly reflect the texture and electrolyte precipitation of meat during heating by detecting the dynamic changes in total dissolved solids (TDS).

[0003] However, this method has significant limitations in practical applications: TDS values ​​are greatly affected by temperature. Temperature changes caused by heating, alterations in cell structure, and electrolyte dissolution all interfere with the measurement results, making the directly acquired TDS data unable to accurately reflect actual changes in physical properties. Effective temperature compensation and calibration are necessary. Although existing technologies can extract features by establishing temperature-TDS relationship curves, they still struggle to overcome interference from multiple factors, resulting in limited measurement accuracy. Summary of the Invention

[0004] This application provides a control method for an intelligent steam oven and an intelligent steam oven, which can improve the cooking effect of food by real-time detection of the total dissolved solids value in the target food at different temperatures.

[0005] On one hand, this application provides a control method for an intelligent steam oven, the method comprising: When the target food in the smart steam oven is in the cooking state, the first resistance value of the thermistor in the detection probe that is in contact with the target food is obtained; Based on the first resistance value, determine the current temperature of the target food; If the current temperature value is less than the target temperature threshold, obtain the resistance concentration conversion coefficient and the target concentration compensation coefficient corresponding to the detection probe; The resistance value of the solution in the detection probe is periodically collected to obtain the resistance value of the solution at at least two collection times. Based on the resistance values ​​corresponding to the at least two sampling times, the resistance-concentration conversion coefficient, and the target concentration compensation coefficient, the total dissolved solids value of the target food corresponding to the at least two sampling times is determined. Based on the mapping relationship between the at least two acquisition times and the total dissolved solids value, a current cooking strategy is generated, and the target food is cooked using the current cooking strategy.

[0006] In one exemplary embodiment, the controller within the intelligent steam oven includes a first output port, a second output port, a first sampling port, and a second sampling port; the step of acquiring the first resistance value of the thermistor in the detection probe in contact with the target food when the target food in the intelligent steam oven is in a cooking state includes: When the target food in the intelligent steam oven is in the cooking state, the first output port is controlled to output a first drive signal and the second output port is controlled to output a second drive signal; the level of the first drive signal is opposite to the level of the second drive signal. The thermistor value acquisition strategy is obtained, along with the first voltage value generated by the first sampling port based on the first driving signal and the second driving signal, and the second voltage value generated by the second sampling port based on the first driving signal and the second driving signal. The thermistor value acquisition strategy includes the correlation between the resistance value of the thermistor, the voltage of the first sampling port, and the voltage of the second sampling port. Based on the first voltage value, the second voltage value, and the thermistor value acquisition strategy, the first resistance value corresponding to the thermistor is determined.

[0007] In one exemplary embodiment, the method for obtaining the resistivity concentration conversion coefficient includes: A solution resistance value acquisition strategy is used to obtain the solution resistance value corresponding to the solution resistance; the solution resistance value acquisition strategy includes the correlation between the resistance value of the solution, the voltage of the first sampling port, and the voltage of the second sampling port; When the temperature of the sample food is greater than or equal to the reference temperature, the third voltage value of the first sampling port, the fourth voltage value of the second sampling port, and the first total dissolved solids value of the sample food collected by the calibration device in contact with the sample food are obtained. Based on the third voltage value, the fourth voltage value, and the solution resistance value acquisition strategy, determine the second resistance value corresponding to the solution resistance; The ratio between the first total dissolved solids value and the second resistance value is calculated to obtain the resistance concentration conversion coefficient.

[0008] In one exemplary embodiment, the method for obtaining the target concentration compensation coefficient includes: Obtain a preset temperature compensation coefficient relationship library; the preset temperature compensation coefficient relationship library includes the mapping relationship between preset food temperature values ​​and preset concentration compensation coefficients; The target concentration compensation coefficient is obtained by searching the preset temperature compensation coefficient database for the concentration compensation coefficient that matches the current temperature value.

[0009] In one exemplary embodiment, the method for constructing a preset temperature compensation coefficient relation library includes: Obtain at least two preset temperature values ​​corresponding to the sample food; If the temperature of the sample food is greater than or equal to the target temperature value, the fifth voltage value of the first sampling port, the sixth voltage value of the second sampling port, and the second total dissolved solids value of the sample food collected by the calibration device are obtained; the target temperature value is any one of the at least two preset temperature values. The concentration compensation coefficient at the target temperature is determined based on the fifth voltage value, the sixth voltage value, the second total dissolved solids value, and the resistivity-concentration conversion coefficient. Based on the mapping relationship between the target temperature value and the concentration compensation coefficient, a preset temperature compensation coefficient relationship library is constructed.

[0010] In one exemplary embodiment, generating a current cooking strategy based on the mapping relationship between the at least two sampling times and the total dissolved solids value, and cooking the target food using the current cooking strategy, includes: Based on the mapping relationship between the at least two sampling times and the total dissolved solids value, determine the first rate of change of the total dissolved solids in the target food at each of the at least two sampling times; Based on the mapping relationship between the at least two sampling times and the first rate of change, determine the second rate of change of total dissolved solids in the target food at each of the at least two sampling times; The current cooking strategy is generated based on the first rate of change and the second rate of change corresponding to the at least two acquisition times, and the target food is cooked using the current cooking strategy.

[0011] In one exemplary embodiment, before acquiring the first resistance value of the thermistor in the detection probe in contact with the target food while the target food in the smart steam oven is in a cooking state, the method further includes: The current image captured by the image acquisition device inside the intelligent steam oven is obtained, and the current image is processed by image recognition to obtain the image recognition result; If the image recognition result indicates that the target food is inside the smart steam oven, images inside the smart steam oven are periodically collected to obtain at least two images to be analyzed inside the smart steam oven. Perform brightness analysis processing on the at least two images to be analyzed to obtain the brightness analysis results corresponding to each of the at least two images to be analyzed. When the target food in the smart steam oven is in a cooking state, acquiring the first resistance value of the thermistor in the detection probe in contact with the target food includes: If the brightness analysis results corresponding to the at least two images to be analyzed indicate that the brightness of the heating tubes in the smart steam oven in the at least two images to be analyzed is different, the first resistance value of the thermistor is obtained.

[0012] On the other hand, this application provides an intelligent steam oven, including a controller and a detection probe; the controller executes the control method of the intelligent steam oven as described above; the detection probe is electrically connected to the controller; the detection probe includes a thermistor and a solution resistor connected in series.

[0013] In one exemplary embodiment, the intelligent steam oven further includes a pressure dividing unit, a first filtering circuit, and a second filtering circuit; the pressure dividing unit includes a first pressure dividing unit, a second pressure dividing unit, and a third pressure dividing unit; the controller further includes a first output port, a second output port, a first sampling port, and a second sampling port. The input terminal of the thermistor is connected to the input terminal of the solution resistor and the output terminal of the first voltage divider unit, respectively; the input terminal of the first voltage divider unit is connected to the first output port; the output terminal of the thermistor is connected to the input terminal of the second voltage divider unit and the input terminal of the first filter circuit, respectively; the output terminal of the first filter circuit is connected to the first sampling port; the output terminal of the second voltage divider unit is connected to the ground loop interface. The output terminal of the solution resistor is connected to the input terminal of the third voltage divider unit and the input terminal of the second filter circuit, respectively; the output terminal of the second filter circuit is connected to the second sampling port; and the output terminal of the third voltage divider unit is connected to the second output port.

[0014] In one exemplary embodiment, the intelligent steam oven further includes an image acquisition device and a heating element; the image acquisition device is electrically connected to the controller; the image acquisition device is used to acquire images inside the intelligent steam oven; the heating element is electrically connected to the controller; the heating element is used to heat food inside the intelligent steam oven.

[0015] On the other hand, this application provides a control method for an intelligent steam oven, wherein the controller within the intelligent steam oven includes a first output port, a second output port, a first sampling port, and a second sampling port; the method includes: The current image captured by the image acquisition device inside the intelligent steam oven is obtained, and the current image is processed by image recognition to obtain the image recognition result; If the image recognition result indicates that the target food is inside the smart steam oven, images inside the smart steam oven are periodically collected to obtain at least two images to be analyzed inside the smart steam oven. Perform brightness analysis processing on the at least two images to be analyzed to obtain the brightness analysis results corresponding to each of the at least two images to be analyzed. If the brightness analysis results corresponding to the at least two images to be analyzed indicate that the brightness of the heating tubes in the smart steam oven in the at least two images to be analyzed is different, the first output port is controlled to output a first driving signal and the second output port is controlled to output a second driving signal; the level of the first driving signal is opposite to the level of the second driving signal; The thermistor value acquisition strategy is obtained, along with the first voltage value generated by the first sampling port based on the first driving signal and the second driving signal, and the second voltage value generated by the second sampling port based on the first driving signal and the second driving signal. The thermistor value acquisition strategy includes the correlation between the resistance value of the thermistor, the voltage of the first sampling port, and the voltage of the second sampling port. Based on the first voltage value, the second voltage value, and the thermistor value acquisition strategy, the first resistance value corresponding to the thermistor is determined; Based on the first resistance value, determine the current temperature of the target food; If the current temperature value is less than the target temperature threshold, obtain the resistance concentration conversion coefficient and the target concentration compensation coefficient corresponding to the detection probe; The resistance value of the solution in the detection probe is periodically collected to obtain the resistance value of the solution at at least two collection times. Based on the resistance values ​​corresponding to the at least two sampling times, the resistance-concentration conversion coefficient, and the target concentration compensation coefficient, the total dissolved solids value of the target food corresponding to the at least two sampling times is determined. Based on the mapping relationship between the at least two sampling times and the total dissolved solids value, determine the first rate of change of the total dissolved solids in the target food at each of the at least two sampling times; Based on the mapping relationship between the at least two sampling times and the first rate of change, determine the second rate of change of total dissolved solids in the target food at each of the at least two sampling times; The current cooking strategy is generated based on the first rate of change and the second rate of change corresponding to the at least two acquisition times, and the target food is cooked using the current cooking strategy. The method for obtaining the resistance concentration conversion coefficient includes: A solution resistance value acquisition strategy is used to obtain the solution resistance value corresponding to the solution resistance; the solution resistance value acquisition strategy includes the correlation between the resistance value of the solution, the voltage of the first sampling port, and the voltage of the second sampling port; When the temperature of the sample food is greater than or equal to the reference temperature, the third voltage value of the first sampling port, the fourth voltage value of the second sampling port, and the first total dissolved solids value of the sample food collected by the calibration device in contact with the sample food are obtained. Based on the third voltage value, the fourth voltage value, and the solution resistance value acquisition strategy, determine the second resistance value corresponding to the solution resistance; Calculate the ratio between the first total dissolved solids value and the second resistance value to obtain the resistance concentration conversion coefficient; The method for obtaining the target concentration compensation coefficient includes: Obtain at least two preset temperature values ​​corresponding to the sample food; If the temperature of the sample food is greater than or equal to the target temperature value, the fifth voltage value of the first sampling port, the sixth voltage value of the second sampling port, and the second total dissolved solids value of the sample food collected by the calibration device are obtained; the target temperature value is any one of the at least two preset temperature values. The concentration compensation coefficient at the target temperature is determined based on the fifth voltage value, the sixth voltage value, the second total dissolved solids value, and the resistivity-concentration conversion coefficient. Based on the mapping relationship between the target temperature value and the concentration compensation coefficient, a preset temperature compensation coefficient relationship library is constructed; Obtain the preset temperature compensation coefficient relationship library; the preset temperature compensation coefficient relationship library includes the mapping relationship between preset food temperature values ​​and preset concentration compensation coefficients; The target concentration compensation coefficient is obtained by searching the preset temperature compensation coefficient database for the concentration compensation coefficient that matches the current temperature value.

[0016] On the other hand, an electronic device is provided, the device including a processor and a memory, the memory storing at least one instruction or at least one program, the at least one instruction or the at least one program being loaded by the processor and executed as described above for the control method of the intelligent steam oven.

[0017] On the other hand, a computer-readable storage medium is provided, wherein at least one instruction or at least one program is stored therein, the at least one instruction or at least one program being loaded and executed by a processor to implement the control method of the intelligent steam oven as described above.

[0018] On the other hand, a computer program product or computer program is provided, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the control method for the intelligent steam oven as described above.

[0019] This application provides a control method for an intelligent steam oven and an intelligent steam oven, which has the following technical effects: When the target food in the intelligent steam oven is in a cooking state, the method acquires the first resistance value of the thermistor in the detection probe that is in contact with the target food; determines the current temperature value of the target food based on the first resistance value; if the current temperature value is less than a target temperature threshold, acquires the resistance-to-concentration conversion coefficient and the target concentration compensation coefficient corresponding to the detection probe; periodically collects the resistance value of the solution resistance in the detection probe to obtain the resistance value of the solution resistance at at least two collection times; determines the total dissolved solids value of the target food at each of the at least two collection times based on the resistance value at each of the at least two collection times, the resistance-to-concentration conversion coefficient, and the target concentration compensation coefficient; generates a current cooking strategy based on the mapping relationship between the at least two collection times and the total dissolved solids value, and cooks the target food using the current cooking strategy. When the target food in the smart steam oven is in the cooking state, the detection process is initiated. First, the resistance value of the thermistor in the detection probe in contact with the target food is obtained. Based on the mapping relationship between the thermistor resistance value and the temperature of the target food, the current temperature value of the target food is determined. When the current temperature value is lower than the target temperature threshold, the total dissolved solids value of the target food is continuously detected. That is, based on the calculated resistance-to-concentration conversion coefficient, the target concentration compensation coefficient, and the resistance value of the collected solution resistance, the total dissolved solids value of the target food is further calculated, thereby formulating an appropriate cooking strategy. This allows for the improvement of the cooking effect of the food by real-time detection of the total dissolved solids value in the target food at different temperatures, ensuring that the food is at its optimal eating taste. Attached Figure Description

[0020] To more clearly illustrate the technical solutions and advantages in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating a control method for an intelligent steam oven provided in an embodiment of this specification; Figure 2 This is a circuit diagram showing the connection between the detection probe and the controller provided in the embodiments of this specification; Figure 3 This is an equivalent circuit diagram provided in the embodiments of this specification; Figure 4 This is a flowchart illustrating a method for determining the resistance concentration conversion coefficient provided in the embodiments of this specification; Figure 5 This is a flowchart illustrating a method for determining a concentration compensation coefficient provided in the embodiments of this specification; Figure 6 This is a flowchart illustrating a method for determining the total dissolved solids value in food, as provided in the embodiments of this specification. Figure 7 This is a schematic flowchart of a cooking method for an intelligent steam oven provided in the embodiments of this specification; Figure 8 This is a schematic diagram illustrating the TDS value change of a smart steam oven in baking mode, as provided in the embodiments of this specification. Figure 9 This is a schematic diagram illustrating the TDS value change of a smart steam oven in steam mode, as provided in the embodiments of this specification. Figure 10 This is a schematic diagram of the server structure for a control method of an intelligent steam oven provided in the embodiments of this specification. Detailed Implementation

[0022] The technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0023] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0024] The following describes a control method for an intelligent steam oven according to this application. Figure 1 This is a flowchart illustrating a control method for an intelligent steam oven provided in an embodiment of this specification. This specification provides the operational steps of the method described in the embodiment or flowchart, but based on conventional or non-inventive labor, more or fewer operational steps may be included. The order of steps listed in the embodiment is merely one possible execution order among many and does not represent the only possible execution order. In actual system or server product execution, the method can be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment) as shown in the embodiment or accompanying drawings. Specifically, as... Figure 1 As shown, the method can be applied to the controller of a smart steam oven, and the method includes: S101: When the target food in the smart steam oven is in the cooking state, obtain the first resistance value of the thermistor in the detection probe that is in contact with the target food.

[0025] In the embodiments described in this specification, a detection probe is provided inside the intelligent oven, such as... Figure 2 As shown, Figure 2 The circuit diagram shows the connection between the detection probe and the controller. The detection probe is connected to CON7. The internal components of the detection probe are equivalent to a thermistor and a solution resistor. The solution resistor Rb between pin 1 and pin 2 of CON7 measures the TDS value of the food, and the thermistor Ra between pin 2 and pin 3 of CON7 measures the temperature value of the food. When the presence of target food in the smart oven is detected and the target food is being cooked, the first resistance value of the thermistor in the detection probe that is in contact with the target food is obtained.

[0026] When the presence of target food in the smart steam oven is detected and the target food is in a cooking state, the first resistance value of the thermistor in the detection probe that is in contact with the target food is obtained.

[0027] S103: Determine the current temperature value of the target food based on the first resistance value.

[0028] In the embodiments of this specification, a resistance-temperature relationship library is preset. This relationship library includes a mapping relationship between the resistance value of a preset thermistor and the temperature value of the target food. The temperature value that matches the first resistance value is searched in the resistance-temperature relationship library to obtain the current temperature value of the target food.

[0029] S105: If the current temperature value is less than the target temperature threshold, obtain the resistance concentration conversion coefficient and the target concentration compensation coefficient corresponding to the detection probe.

[0030] In the embodiments of this specification, the target temperature threshold is the target temperature value of the target food preset by the user; if the current temperature value is less than the target temperature threshold, the resistance-to-concentration conversion coefficient and the target concentration compensation coefficient corresponding to the detection probe are obtained; the resistance-to-concentration conversion coefficient is used to convert the resistance value of the detected solution resistance into the solution ion concentration TDS in the target food; the target concentration compensation coefficient is the concentration compensation coefficient corresponding to the current temperature value, which is used to compensate for the solution ion concentration TDS in the target food at the current temperature value.

[0031] S107: Periodically collect the resistance value of the solution resistance in the detection probe to obtain the resistance value of the solution resistance at at least two collection times.

[0032] In the embodiments of this specification, the resistance value of the solution resistance in the detection probe is periodically collected at a fixed period to obtain the resistance value of the solution resistance at at least two collection times.

[0033] S109: Determine the total dissolved solids value of the target food at each of the at least two sampling times based on the resistance value corresponding to each of the at least two sampling times, the resistance concentration conversion coefficient, and the target concentration compensation coefficient.

[0034] In the embodiments of this specification, the total dissolved solids value of the target food at each of the at least two sampling times is calculated based on the resistance value, resistance concentration conversion coefficient and target concentration compensation coefficient at each of the at least two sampling times.

[0035] S111: Generate a current cooking strategy based on the mapping relationship between the at least two acquisition times and the total dissolved solids value, and cook the target food using the current cooking strategy.

[0036] In the embodiments of this specification, based on the mapping relationship between at least two sampling times and the total dissolved solids (TDS) value, the first rate of change and the second rate of change of TDS in the target food at each of the at least two sampling times are calculated, thereby identifying the inflection point of TDS in the target food, generating the current cooking strategy, and cooking the target food with the current cooking strategy; specifically, if a TDS inflection point occurs, the cooking time is delayed by a preset cooking time M after the inflection point is reached, and the work ends after the cooking time reaches the preset cooking time; if no TDS inflection point is detected during the cooking process, the cooking continues until the target temperature threshold is reached and then the cooking ends.

[0037] In this embodiment of the specification, the controller inside the intelligent steam oven includes a first output port, a second output port, a first sampling port, and a second sampling port; the step of acquiring the first resistance value of the thermistor in the detection probe in contact with the target food when the target food in the intelligent steam oven is in a cooking state includes: When the target food in the intelligent steam oven is in the cooking state, the first output port is controlled to output a first drive signal and the second output port is controlled to output a second drive signal; the level of the first drive signal is opposite to the level of the second drive signal. In the embodiments described in this specification, such as Figure 2 As shown, the controller inside the intelligent steam oven includes a first output port O_TRG_P1, a second output port O_TRG_N1, a first sampling port AD_NTC, and a second sampling port AD_TDS. The first and second output ports are controlled by the controller to output level signals with opposite phases, which are periodically flipped. The first sampling port is an ADC sampling point used to calculate the resistance value of the thermistor, and the second sampling port is an ADC sampling point used to calculate the resistance value of the solution. Both the first and second sampling ports are 10-bit ADCs, and the corresponding ADC full-scale digital value is 1023.

[0038] When the target food in the smart steam oven is in the cooking state, the first output port is controlled to output a first drive signal and the second output port is controlled to output a second drive signal; the level of the first drive signal is opposite to the level of the second drive signal.

[0039] The thermistor value acquisition strategy is obtained, along with the first voltage value generated by the first sampling port based on the first driving signal and the second driving signal, and the second voltage value generated by the second sampling port based on the first driving signal and the second driving signal. The thermistor value acquisition strategy includes the correlation between the resistance value of the thermistor, the voltage of the first sampling port, and the voltage of the second sampling port. In the embodiments of this specification, a thermistor value acquisition strategy is used to acquire the thermistor value, a first voltage value generated by the first sampling port based on the first driving signal and the second driving signal, and a second voltage value generated by the second sampling port based on the first driving signal and the second driving signal; the thermistor value acquisition strategy includes the correlation between the resistance value of the thermistor, the voltage of the first sampling port and the voltage of the second sampling port; Specifically, such as Figure 2 As shown, in addition to the detection probe CON7, the first output port, the second output port, the first sampling port, and the second sampling port, the system also includes a first voltage divider unit, a second voltage divider unit, a third voltage divider unit, a first filter circuit, and a second filter circuit. The first voltage divider unit is a resistor R8, the second voltage divider unit is a resistor R7 and a resistor R13, the third voltage divider unit is a resistor R10 and a resistor R14, the first filter circuit is a resistor R6 and a resistor R12 and a capacitor C6, and the second filter circuit is a resistor R11 and a resistor R16 and a capacitor C7. The resistance values ​​and capacitor values ​​in the first voltage divider unit, the second voltage divider unit, the third voltage divider unit, the first filter circuit, and the second filter circuit are all known.

[0040] Assuming the first sampling port AD_NTC outputs a high level and the second sampling port AD_TDS outputs a low level, the equivalent circuit diagram is as follows: Figure 3 As shown, a new node AD_X is introduced; at this time, the first voltage divider unit is connected in series with the thermistor Ra to divide the voltage; the second voltage divider unit acts as a pull-up resistor, and together with the thermistor and the solution resistor, it forms a voltage divider circuit, and its voltage drop is used to calculate the intermediate node voltage AD_X; the third voltage divider unit is connected in series with the solution resistor to divide the voltage; the first filter circuit is used to filter out high-frequency noise on the drive power supply and smooth the drive signal to reduce spike interference; the second filter circuit is used to prevent digital noise from interfering with the analog signal through the ground wire.

[0041] According to Kirchhoff's Current Law (KCL), which states that the sum of the currents flowing into a node is equal to zero, for the first sampling port AD_NTC node, the current relationship satisfies: the current flowing through the thermistor Ra is equal to the current flowing through the first voltage divider unit, thus obtaining the current equivalent formula (1): (1) in, This represents the current flowing from node AD_X to the first sampling port AD_NTC; This represents the current value flowing from the first sampling port AD_NTC to the ground loop interface.

[0042] For the second sampling port AD_TDS node, the current relationship satisfies: the current flowing through the solution resistor Rb is equal to the current flowing through the third voltage divider unit, resulting in the current equivalent formula (2): (2) in, This represents the current flowing from node AD_X to the second sampling port AD_TDS; This represents the current flowing from the second sampling port AD_TDS to the ground loop interface.

[0043] For node AD_X, the current relationship satisfies: the current flowing into the first output port O_TRG_P1 is equal to the sum of the currents flowing out to the first sampling port AD_NTC and the second sampling port AD_TDS, thus obtaining the current equivalent formula (3): (3) Where 1023 is the full-scale digital value of the ADC corresponding to the first output port; This represents the current flowing into node AD_X through the second voltage divider unit; This represents the current value flowing from node AD_X through the thermistor Ra and the solution resistor Rb, respectively.

[0044] From the current equivalent formula (3), the ADC digital value corresponding to the voltage value of node AD_X can be obtained as follows: (4) Substituting the voltage expression (4) of node AD_X into the current equivalent formula (1), the resistance value of the thermistor Ra can be obtained as follows: (5) Substituting the voltage expression (4) of node AD_X into the current equivalent formula (2), the resistance value of the solution Rb can be obtained as follows: (6) According to the resistance formula (5) of the thermistor Ra, the thermistor value acquisition strategy can be determined, which includes the correlation between the resistance Ra of the thermistor, the voltage AD_NTC of the first sampling port and the voltage AD_TDS of the second sampling port.

[0045] Based on the first voltage value, the second voltage value, and the thermistor value acquisition strategy, the first resistance value corresponding to the thermistor is determined.

[0046] In the embodiments of this specification, the voltage of the first sampling port in the thermistor value acquisition strategy is updated to a first voltage value, and the voltage of the second sampling port in the thermistor value acquisition strategy is updated to a second voltage value, thereby obtaining the first resistance value corresponding to the thermistor.

[0047] By constructing an equivalent circuit diagram, the detection probe and the external known resistor are simplified into a pure resistance circuit diagram, omitting auxiliary components such as filters and focusing on the DC signal path. This allows for the direct application of Kirchhoff's Current Law (KCL) to establish a set of node voltage equations. By determining the thermistor value acquisition strategy, the first resistance value of the thermistor can be calculated after acquiring the digital voltage values ​​of the first and second sampling ports. This achieves high-precision, real-time indirect measurement, and the temperature can then be obtained by looking up a table.

[0048] In the embodiments of this specification, the method for obtaining the resistivity concentration conversion coefficient includes: A solution resistance value acquisition strategy is used to obtain the solution resistance value corresponding to the solution resistance; the solution resistance value acquisition strategy includes the correlation between the resistance value of the solution, the voltage of the first sampling port, and the voltage of the second sampling port; In the embodiments of this specification, the solution resistance value acquisition strategy corresponding to the solution resistance Ra can be determined according to the resistance formula (6), which includes the correlation between the solution resistance value Rb, the voltage AD_NTC of the first sampling port and the voltage AD_TDS of the second sampling port.

[0049] When the temperature of the sample food is greater than or equal to the reference temperature, the third voltage value of the first sampling port, the fourth voltage value of the second sampling port, and the first total dissolved solids value of the sample food collected by the calibration device in contact with the sample food are obtained. In the embodiments of this specification, the reference temperature value is a preset temperature value, which can be a standard temperature of 25°C. During the calibration phase, a sample food is placed inside the intelligent steam oven. During the cooking process of the sample food, when the temperature value of the sample food is greater than or equal to the reference temperature value, the third voltage value of the first sampling port, the fourth voltage value of the second sampling port, and the first total dissolved solids value in the sample food collected by the calibration device (an externally calibrated TDS instrument) in contact with the sample food are obtained.

[0050] Based on the third voltage value, the fourth voltage value, and the solution resistance value acquisition strategy, determine the second resistance value corresponding to the solution resistance; In the embodiments of this specification, the voltage of the first sampling port in the solution resistance value acquisition strategy is updated to a third voltage value, and the voltage of the second sampling port in the solution resistance value acquisition strategy is updated to a fourth voltage value, so as to obtain the second resistance value corresponding to the solution resistance.

[0051] The ratio between the first total dissolved solids value and the second resistance value is calculated to obtain the resistance concentration conversion coefficient.

[0052] In the embodiments of this specification, according to calibration formula (7): (7) Where T represents the total dissolved solids in the food; B0 is the concentration compensation coefficient; N is the temperature of the food; A0 is the resistance-concentration conversion coefficient; and Rb is the resistance of the solution.

[0053] When the temperature of the sample food is greater than or equal to the reference temperature, the calibration formula is simplified to: (8) Since the first total dissolved solids value T and the second resistance value Rb of the solution resistance have been obtained, the ratio between the first total dissolved solids value and the second resistance value can be calculated to obtain the resistance-concentration conversion coefficient A0.

[0054] At a reference temperature, the true value Toutside is measured using a calibration device (an externally calibrated TDS instrument). Simultaneously, the system measures the solution resistance Rb, further determining the resistance-to-concentration conversion coefficient. This aligns the system's readings with those of an external authoritative instrument under standard conditions, enabling accurate conversion of the solution resistance value into a precise total dissolved solids (TDS) value during actual cooking. This improves the accuracy and reliability of the TDS measurement results for the target food, thereby enhancing the cooking performance of the intelligent steam oven.

[0055] In the embodiments of this specification, the method for obtaining the target concentration compensation coefficient includes: Obtain a preset temperature compensation coefficient relationship library; the preset temperature compensation coefficient relationship library includes the mapping relationship between preset food temperature values ​​and preset concentration compensation coefficients; In the embodiments of this specification, a preset temperature compensation coefficient relationship library is obtained. The preset temperature compensation coefficient relationship library includes the mapping relationship between preset food temperature values ​​and preset concentration compensation coefficients. It can be a table, formula or other form of relationship library with mapping relationship.

[0056] The target concentration compensation coefficient is obtained by searching the preset temperature compensation coefficient database for the concentration compensation coefficient that matches the current temperature value.

[0057] In the embodiments of this specification, a concentration compensation coefficient matching the current temperature value is searched in a preset temperature compensation coefficient database to obtain the target concentration compensation coefficient. By setting a preset temperature compensation coefficient database and querying the database with the measured temperature in real time, the most matching target concentration compensation coefficient is dynamically obtained. This ensures that the total dissolved solids value in the target food can be accurately corrected to the 25°C reference throughout the entire heating process from low to high temperature, thus improving the accuracy of cooking decisions.

[0058] In the embodiments of this specification, the method for constructing the preset temperature compensation coefficient relation library includes: Obtain at least two preset temperature values ​​corresponding to the sample food; In the embodiments of this specification, at least two preset temperature values ​​corresponding to the sample food are obtained, including multiple different temperature points, such as 5℃, 15℃, 35℃, 45℃, 55℃, 65℃, 75℃, 85℃, and 95℃.

[0059] If the temperature of the sample food is greater than or equal to the target temperature value, the fifth voltage value of the first sampling port, the sixth voltage value of the second sampling port, and the second total dissolved solids value of the sample food collected by the calibration device are obtained; the target temperature value is any one of the at least two preset temperature values. In the embodiments of this specification, any one of at least two preset temperature values ​​is determined as the target temperature value. When the temperature value of the sample food is greater than or equal to the target temperature value, the fifth voltage value of the first sampling port, the sixth voltage value of the second sampling port, and the second total dissolved solids value in the sample food collected by the calibration device are obtained.

[0060] The concentration compensation coefficient at the target temperature is determined based on the fifth voltage value, the sixth voltage value, the second total dissolved solids value, and the resistivity-concentration conversion coefficient. In the embodiments of this specification, the voltage of the first sampling port in the solution resistance value acquisition strategy is updated to the fifth voltage value, and the voltage of the second sampling port in the solution resistance value acquisition strategy is updated to the sixth voltage value, so as to obtain the resistance value corresponding to the solution resistance at the target temperature value. Then, in the calibration formula (7), T is updated to the second total dissolved solids value, A0 is updated to the resistance concentration compensation coefficient, N is updated to the target temperature value, and Rb is updated to the resistance value corresponding to the solution resistance, so as to obtain the concentration compensation coefficient B0 at the target temperature value.

[0061] Based on the mapping relationship between the target temperature value and the concentration compensation coefficient, a preset temperature compensation coefficient relationship library is constructed.

[0062] In the embodiments of this specification, after calculating the concentration compensation coefficient for each preset temperature value, a preset temperature compensation coefficient relationship library is constructed based on the mapping relationship between the target temperature value and the concentration compensation coefficient.

[0063] By collecting data at multiple preset temperature values ​​during the calibration phase, a unique concentration compensation coefficient is precisely calculated for each temperature point. This enables high-precision, adaptive dynamic temperature compensation during actual cooking, eliminating the interference of temperature changes on solution conductivity (TDS measurement) and ensuring that the readings only reflect the true changes in ion concentration.

[0064] In this embodiment of the specification, generating a current cooking strategy based on the mapping relationship between the at least two sampling times and the total dissolved solids value, and cooking the target food using the current cooking strategy, includes: Based on the mapping relationship between the at least two sampling times and the total dissolved solids value, determine the first rate of change of the total dissolved solids in the target food at each of the at least two sampling times; In the embodiments of this specification, since the resistance values ​​of the solution are periodically collected at at least two collection times, the total dissolved solids values ​​of the target food at each of the at least two collection times are obtained (T1, T2, T3, ..., Tn, where n is the total number of collection times). Based on the mapping relationship between the at least two collection times and the total dissolved solids values, the first rate of change of the total dissolved solids in the target food at each of the at least two collection times is calculated, resulting in:

[0065] in, Let i be the first rate of change at time i; The total dissolved solids value of the target food at time i; Let m be the total dissolved solids value of the target food at time im; m is the number of cycles between time im and time i. This refers to the duration of each testing cycle.

[0066] In addition, to prevent noise interference, the original TDS sequence can be filtered, and the first rate of change can be calculated using the filtered TDS sequence; the first rate of change represents the rate of change of total dissolved solids in the target food.

[0067] Based on the mapping relationship between the at least two sampling times and the first rate of change, determine the second rate of change of total dissolved solids in the target food at each of the at least two sampling times; In the embodiments of this specification, based on the mapping relationship between at least two sampling times and the first rate of change, the second rate of change of total dissolved solids in the target food at each of the at least two sampling times is calculated, resulting in:

[0068] in, Let i be the second rate of change at time i; Let i be the first rate of change at time i; Let be the first rate of change at time ip; p is the number of periods between time ip and time i. This refers to the duration of each testing cycle.

[0069] The second rate of change represents the acceleration of the change in total dissolved solids in the target food.

[0070] The current cooking strategy is generated based on the first rate of change and the second rate of change corresponding to the at least two acquisition times, and the target food is cooked using the current cooking strategy.

[0071] In the embodiments of this specification, a threshold for the rate of change is preset, and the threshold for the rate of change is a small threshold close to zero. At each sampling moment, if there is a first rate of change greater than 0 at the same sampling moment, a first rate of change less than or equal to 0 at the next sampling moment, and the absolute value of the second rate of change is less than the threshold for the rate of change, it indicates that the first rate of change has turned from positive to 0 or negative, that is, it has reached its peak and started to decline. At this time, the absolute value of the acceleration is very small, indicating that it is near the inflection point. When the TDS inflection point is detected, it indicates that drastic physicochemical changes have begun to occur inside the target food (such as a large amount of juice seepage and sufficient protein denaturation). However, this change takes a certain amount of time to complete and stabilize. Therefore, a delay M is immediately started, and cooking stops after the countdown M ends. When the temperature has not reached the set value, the first and second rates of change of the TDS value are monitored at fixed intervals. By analyzing the TDS rate of change and its acceleration, the starting moment of key state changes such as juice seepage and protein denaturation (i.e., the TDS inflection point) can be keenly captured before the core temperature is fully reached, realizing a forward-looking and precise cooking control based on real-time changes in the internal physical properties of the food.

[0072] In this embodiment of the specification, before obtaining the first resistance value of the thermistor in the detection probe in contact with the target food when the target food in the smart steam oven is in a cooking state, the method further includes: The current image captured by the image acquisition device inside the intelligent steam oven is obtained, and the current image is processed by image recognition to obtain the image recognition result; In the embodiments of this specification, the current image of the cooking cavity captured by the image acquisition device inside the intelligent steam oven can be preprocessed, such as correcting image distortion caused by the lens of the image acquisition device, adjusting the brightness and contrast of the current image, and reducing the impact caused by uneven lighting or shadows inside the cooking cavity. Then, image recognition processing is performed on the preprocessed current image to obtain the image recognition result. Specifically, based on the trained target detection model, the preprocessed current image can be input into the target detection model, and the model can output all detected objects and their categories; or features such as color, texture, and edge can be extracted from the preset food placement area in the preprocessed current image.

[0073] If the image recognition result indicates that the target food is inside the smart steam oven, images inside the smart steam oven are periodically collected to obtain at least two images to be analyzed inside the smart steam oven. In the embodiments of this specification, if the image recognition result indicates that the target food is inside the smart steam oven, it is further determined whether the target food is in a cooking state; images inside the smart steam oven are periodically acquired to obtain at least two images to be analyzed inside the smart steam oven.

[0074] Perform brightness analysis processing on the at least two images to be analyzed to obtain the brightness analysis results corresponding to each of the at least two images to be analyzed. In the embodiments of this specification, the area where the heating element in the smart steam oven is located can be defined in each image to be analyzed, and the average brightness or intensity value of a specific color channel (such as red) of the area in at least two images to be analyzed can be analyzed to obtain the brightness analysis results corresponding to each of the at least two images to be analyzed.

[0075] In this embodiment of the specification, obtaining the first resistance value of the thermistor in the detection probe in contact with the target food when the target food in the smart steam oven is in a cooking state includes: If the brightness analysis results corresponding to the at least two images to be analyzed indicate that the brightness of the heating tubes in the smart steam oven in the at least two images to be analyzed is different, the first resistance value of the thermistor is obtained.

[0076] In the embodiments of this specification, if the brightness analysis results corresponding to at least two images to be analyzed indicate that the brightness of the heating element in the smart steam oven in the at least two images to be analyzed is different, more specifically, if the brightness / red intensity of the area increases significantly and continuously in a short period of time, it is determined that the heating element has started working, and at this time the target food is in the cooking state, and the first resistance value of the thermistor is obtained. Determining whether there is food in the cooking cavity through image recognition algorithms can prevent the sensor from working meaninglessly in an unloaded state and avoid false triggering. Accurately determining whether the cooking program has actually started by analyzing the brightness changes of the heating element in a continuous image sequence eliminates the risk of human error, ensures the effectiveness of data acquisition, and optimizes system energy efficiency.

[0077] In one exemplary embodiment, this application provides an intelligent steam oven, including a controller and a detection probe; the controller performs the control method of the intelligent steam oven as described above; the detection probe is electrically connected to the controller; the detection probe includes a thermistor and a solution resistor connected in series.

[0078] In some embodiments, the intelligent steam oven includes a controller and a detection probe; the controller executes the control method of the intelligent steam oven as described above; the detection probe is electrically connected to the controller, and the detection probe includes a thermistor and a solution resistor connected in series; the detection probe is used to receive periodic signals output by the controller to achieve power supply, thereby causing the resistance values ​​of the thermistor and the solution resistor to change.

[0079] In the embodiments described in this specification, the intelligent steam oven further includes a pressure dividing unit, a first filtering circuit, and a second filtering circuit; the pressure dividing unit includes a first pressure dividing unit, a second pressure dividing unit, and a third pressure dividing unit; the controller further includes a first output port, a second output port, a first sampling port, and a second sampling port; The input terminal of the thermistor is connected to the input terminal of the solution resistor and the output terminal of the first voltage divider unit, respectively; the input terminal of the first voltage divider unit is connected to the first output port; the output terminal of the thermistor is connected to the input terminal of the second voltage divider unit and the input terminal of the first filter circuit, respectively; the output terminal of the first filter circuit is connected to the first sampling port; the output terminal of the second voltage divider unit is connected to the ground loop interface. The output terminal of the solution resistor is connected to the input terminal of the third voltage divider unit and the input terminal of the second filter circuit, respectively; the output terminal of the second filter circuit is connected to the second sampling port; and the output terminal of the third voltage divider unit is connected to the second output port.

[0080] In some embodiments, the intelligent steam oven further includes a voltage divider unit, a first filter circuit, and a second filter circuit; the first filter circuit consists of resistors R6 and R12 and capacitor C6, and the second filter circuit consists of resistors R11 and R16 and capacitor C7; the voltage divider unit includes a first voltage divider unit, a second voltage divider unit, and a third voltage divider unit; the first voltage divider unit consists of resistor R8, the second voltage divider unit consists of resistors R7 and R13, and the third voltage divider unit consists of resistors R10 and R14; the controller further includes a first output port O_TRG_P1, a second output port O_TRG_N1, a first sampling port AD_NTC, and a second sampling port AD_TDS; In terms of current flow direction, the input terminal of the thermistor is connected to the input terminal of the solution resistor and the output terminal of the first voltage divider unit, respectively; the input terminal of the first voltage divider unit is connected to the first output port; the output terminal of the thermistor is connected to the input terminal of the second voltage divider unit and the input terminal of the first filter circuit, respectively; the output terminal of the first filter circuit is connected to the first sampling port; and the output terminal of the second voltage divider unit is connected to the ground loop interface. The output terminal of the solution resistor is connected to the input terminal of the third voltage divider unit and the input terminal of the second filter circuit, respectively; the output terminal of the second filter circuit is connected to the second sampling port; and the output terminal of the third voltage divider unit is connected to the second output port.

[0081] The circuit is energized by outputting inverted AC drive signals through the first and second output ports. This energizer, along with the thermistor and solution resistor within the detection probe, forms a measurement bridge via three voltage divider units, linearly converting resistance changes into voltage changes. The first and second filter circuits are connected in parallel across the first and second sampling ports, respectively, to absorb high-frequency noise, ensuring the separation and coordination of drive, measurement, and conditioning functions. AC drive avoids electrode polarization; the voltage divider network achieves linear conversion from physical quantities to electrical signals; and the independent filter circuit purifies the measurement environment before signal sampling, greatly suppressing interference to obtain stable and accurate voltage signals.

[0082] In this embodiment of the specification, the intelligent steam oven further includes an image acquisition device and a heating element; the image acquisition device is electrically connected to the controller; the image acquisition device is used to acquire images inside the intelligent steam oven; the heating element is electrically connected to the controller; the heating element is used to heat the food inside the intelligent steam oven.

[0083] In some embodiments, the intelligent steam oven further includes an image acquisition device and a heating element; the image acquisition device is electrically connected to the controller; the image acquisition device is used to acquire images of the cooking cavity inside the intelligent steam oven; the heating element is electrically connected to the controller; the heating element is used to heat the food inside the intelligent steam oven. By setting up an image acquisition device, continuous visual analysis of the cooking cavity inside the intelligent steam oven can be performed, thereby directly determining whether food is present and whether the cavity is operating. This provides a reliable enable signal for subsequent precise TDS / temperature sensor measurements, effectively preventing invalid or dangerous operations such as no-load operation or accidental start-up.

[0084] In one exemplary implementation, such as Figure 4 As shown, Figure 4 A flowchart illustrating a method for determining the resistivity concentration conversion coefficient provided in this specification, comprising: S401: The sensor drive frequency is set to 100kHz.

[0085] In the embodiments of this specification, the sensor is actually a detection probe, including a thermistor and the solution resistance. When the calibration process begins, a high-frequency AC excitation signal, such as 100 kHz, is applied to the sensor. When DC or low-frequency AC current passes through the electrodes in the solution, ions accumulate on the electrode surface, forming an additional, unstable polarization impedance, which seriously interferes with the measurement of the true resistance Rb of the solution itself. Therefore, using high-frequency AC current (such as 100 kHz) can greatly bypass or weaken this polarization effect, making the measurement result closer to the true conductivity of the solution.

[0086] S402: Simultaneously measure the meat center value at 25°C using an externally calibrated TDS instrument and TDS sensor.

[0087] In the embodiments described in this specification, the externally calibrated TDS instrument is a TDS measuring instrument that has been certified by a national or international authoritative metrology institution and has a traceable calibration certificate, and its displayed value is considered to be true and accurate. 25℃ is a standard reference temperature widely used in industrial and scientific measurements. Under a constant temperature environment of 25℃, the probe of an externally calibrated TDS instrument and the TDS sensor probe of this system are simultaneously inserted into the geometric center of the same piece of meat. The actual TDS value collected by the externally calibrated TDS instrument is read and recorded, denoted as T_external. The resistance of the sensor in the solution is calculated based on the resistance calculation formula obtained from the equivalent circuit diagram, denoted as Rb.

[0088] S403: A0 = T_external * Rb, thus A0 is obtained.

[0089] In the embodiments of this specification, there is a TDS value calculation formula: T=A0 / Rb*(1+B0(N-25)). When N=25℃, the temperature compensation term (1+B0(N-25)) is equal to 1, which simplifies the formula to T=A0 / Rb. Combining the externally calibrated TDS instrument with the resistance value Rb of the solution, the resistance-to-concentration conversion coefficient A0 is obtained.

[0090] In this embodiment, the sensor driving frequency is set to 100kHz to optimize measurement conditions. Subsequently, at a standard temperature of 25°C, an externally calibrated TDS instrument and the sensor of this system are simultaneously inserted into the meat center for synchronous measurement, obtaining the true TDS value (T_external) and the sensor resistance value (Rb), respectively. Finally, the resistance-to-concentration conversion coefficient A0 is calculated. This enables precise correlation between the original resistance value measured by the sensor of this system and the true physical quantity by comparing it with an authoritative external instrument at a standard temperature, compensating for inherent hardware differences such as sensor probes and circuit components. All subsequent real-time measurements are converted based on this A0, thereby ensuring the accuracy and traceability of the measurement results.

[0091] In one exemplary implementation, such as Figure 5 As shown, Figure 5 A flowchart illustrating a method for determining a concentration compensation coefficient provided in the embodiments of this specification includes: S501: The sensor drive frequency is set to 100K.

[0092] In the embodiments described in this specification, the sensor driving frequency is initially set to 100 kHz. High-frequency driving can effectively suppress electrode polarization effects, ensuring that the sensor resistance Rb value measured over the entire wide temperature range is stable and accurate. S502: Simultaneously measure the meat center value at 5℃, 15℃, 35℃, 45℃, 55℃, 65℃, 75℃, 85℃, and 95℃ using an externally calibrated TDS instrument and TDS sensor.

[0093] In the embodiments of this specification, at multiple discrete temperature points such as 5℃, 15℃, 35℃... up to 95℃, an externally calibrated TDS instrument (providing the true value T externally) and the sensor of this system (measuring the resistance Rb) are simultaneously inserted into the geometric center of the same piece of meat for paired measurement.

[0094] S503: T_external = A0 / Rb*(1+B0(N-25)) This gives the B0 value for each temperature range.

[0095] In the embodiments of this specification, at each temperature point N, the external T, Rb obtained in the previous step, and the system constant A0 determined in the previous stage are substituted into the core temperature compensation formula T external = A0 / Rb * (1 + B0(N-25)). The concentration compensation coefficient B0 unique to that temperature point is then calculated by reverse deduction.

[0096] In this embodiment, by performing dense sampling at multiple points within a wide temperature range of up to 90°C, the system can accurately reflect the potentially nonlinear relationship between solution conductivity (TDS) and temperature, in order to generate a temperature-B0 value lookup table. In actual cooking, the system only needs to look up the table based on the real-time measured food temperature N to obtain the most matching B0 value, and substitute it into the formula to calculate an accurate TDS value that is not affected by temperature. This ensures that the TDS reading can truly reflect the changes in ion concentration throughout the entire process from slow cooking at low temperatures to high cooking temperatures.

[0097] In one exemplary implementation, such as Figure 6 As shown, Figure 6 A flowchart illustrating a method for determining the total dissolved solids (TDS) value in food, provided as an embodiment of this specification, includes: S601: The sensor drive frequency is set to 10K.

[0098] In the embodiments described in this specification, unlike the 100kHz used in the calibration phase, the sensor driving frequency is set to 10kHz based on considerations of power consumption, anti-interference, or optimization with the response of a specific sensor in practical applications.

[0099] S602: Query the segmented calibration coefficient B0 of the record based on the current temperature.

[0100] In the embodiments of this specification, the temperature compensation coefficient B0 that precisely matches the current temperature is obtained by looking up the temperature-B0 coefficient correspondence table established during the calibration phase based on the real-time measured current food temperature N (calculated from the sensor resistance Ra).

[0101] S603: T=A0 / Rb*(1+B0(N-25)), which gives the TDS value at the current probe measurement point.

[0102] In the embodiments of this specification, the B0 obtained in the previous step, together with the system resistance concentration conversion coefficient A0, the real-time measured TDS sensor resistance Rb, and the current temperature N, are substituted into the core formula: T=A0 / Rb*(1+B0(N-25)). The calculated result T is the accurate TDS value at the current probe measurement point after temperature compensation.

[0103] In this embodiment, by querying B0, the real-time temperature (N) is dynamically correlated with the calibration database, and the most appropriate compensation parameter is automatically selected. The term (1+B0*(N-25)) in the formula is a precise mathematical model and real-time correction of the physical phenomenon of solution conductivity changing with temperature, ensuring that the final TDS value can truly reflect the change in ion concentration, and is independent of temperature fluctuations.

[0104] In one exemplary implementation, such as Figure 7 As shown, Figure 7 This is a schematic flowchart illustrating a cooking method for an intelligent steam oven provided in an embodiment of this specification, including: S701: Set the temperature (30℃~90℃) and start cooking.

[0105] In the embodiments described in this manual, the user sets the target temperature (30℃~90℃) and starts the cooking program.

[0106] S702: Determine whether the temperature sensor value N is greater than the set temperature.

[0107] In the embodiments described in this specification, the internal temperature (N) of the food is continuously monitored and compared with a set temperature. If the set temperature (N) is not reached, heating continues while monitoring continues.

[0108] S703: TDS turning point appears.

[0109] In the embodiments described in this specification, when the temperature does not reach the set value, the TDS value is calculated in real time and its change curve over time is analyzed to intelligently determine whether a TDS inflection point has occurred. Specifically, as follows... Figure 8-9 As shown, Figure 8 This is a schematic diagram illustrating the TDS value change of a smart steam oven in baking mode, as provided in the embodiments of this specification. The horizontal axis represents the change in cooking time, and its value is the sampling point sequence number of the ADC; the vertical axis represents the real-time TDS value after temperature compensation, reflecting the change in the internal ion concentration (juice richness) of the food, and its unit is ppm. Figure 9 This diagram illustrates the TDS value change of a smart steam oven in steam mode, as provided in the embodiments of this specification. The horizontal axis represents the change in cooking time, and its value is the sampling point sequence number of the ADC. The vertical axis represents the real-time TDS value after temperature compensation, reflecting the change in the internal ion concentration (juice richness) of the food, and its unit is ppm.

[0110] S704: Delay time M after reaching the turning point.

[0111] In the embodiments described in this specification, if a TDS inflection point occurs, it indicates that the juices and flavor compounds inside the food have begun to be released intensely. A fixed delay M is then initiated to ensure that the flavor changes are fully completed. After the delay ends, cooking is complete, and the process is finished.

[0112] In this embodiment, temperature compliance is used as the basis for safety and doneness, and the TDS inflection point is used as the key indicator for flavor and texture optimization. The combination of the two ensures that the food reaches a safe eating temperature and is precisely in the ideal state of flavor substance (juice, amino acid) release, preventing overcooking or undercooking.

[0113] This specification provides an electronic device including a processor and a memory. The memory stores at least one instruction or at least one program, which is loaded and executed by the processor to implement the control method of the intelligent steam oven provided in the above method embodiments.

[0114] The embodiments of this application also provide a computer storage medium, which can be disposed in a terminal to store at least one instruction or at least one program related to implementing the control method of an intelligent steam oven in the method embodiments. The at least one instruction or at least one program is loaded and executed by the processor to implement the control method of the intelligent steam oven provided in the above method embodiments.

[0115] Embodiments of this application also provide a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the control method for the intelligent steam oven provided in the above-described method embodiments.

[0116] The memory described in the embodiments of this specification can be used to store software programs and modules. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for the functions, etc.; the data storage area may store data created according to the use of the device, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory may also include a memory controller to provide the processor with access to the memory.

[0117] The control method for the intelligent steam oven provided in this specification can be executed on a mobile terminal, computer terminal, server, or similar computing device. Taking running on a server as an example... Figure 10 This is a hardware structure block diagram of a server for a control method of an intelligent steam oven provided in an embodiment of this specification. (For example...) Figure 10As shown, the server 1000 can vary significantly due to different configurations or performance. It may include one or more Central Processing Units (CPUs) 1010 (CPUs 1010 may include, but are not limited to, microprocessors (MCUs) or programmable logic devices (FPGAs), a memory 1030 for storing data, and one or more storage media 1020 (e.g., one or more mass storage devices) for storing application programs 1023 or data 1022. The memory 1030 and storage media 1020 may be temporary or persistent storage. The program stored in the storage media 1020 may include one or more modules, each module may include a series of instruction operations on the server. Furthermore, the CPU 1010 may be configured to communicate with the storage media 1020 and execute the series of instruction operations in the storage media 1020 on the server 1000. Server 1000 may also include one or more power supplies 1060, one or more wired or wireless network interfaces 1050, one or more input / output interfaces 1040, and / or one or more operating systems 1021, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, etc.

[0118] The input / output interface 1040 can be used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of server 1000. In one example, the input / output interface 1040 includes a network interface controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the input / output interface 1040 may be a radio frequency (RF) module used for wireless communication with the Internet.

[0119] Those skilled in the art will understand that Figure 10 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, server 1000 may also include... Figure 10 The more or fewer components shown, or having the same Figure 10 The different configurations shown.

[0120] As can be seen from the control method and embodiments of the intelligent steam oven provided in this application, when the target food in the intelligent steam oven is in a cooking state, this application obtains the first resistance value of the thermistor in the detection probe that is in contact with the target food; determines the current temperature value of the target food based on the first resistance value; if the current temperature value is less than the target temperature threshold, obtains the resistance-to-concentration conversion coefficient and the target concentration compensation coefficient corresponding to the detection probe; periodically collects the resistance value of the solution resistance in the detection probe to obtain the resistance value corresponding to the solution resistance at at least two collection times; determines the total dissolved solids value of the target food at each of the at least two collection times based on the resistance value corresponding to each of the at least two collection times, the resistance-to-concentration conversion coefficient, and the target concentration compensation coefficient; generates a current cooking strategy based on the mapping relationship between the at least two collection times and the total dissolved solids value, and cooks the target food using the current cooking strategy. By setting up an image acquisition device, continuous visual analysis of the cooking cavity inside the smart steam oven is facilitated, directly determining the presence of food and whether the cavity is operating. This provides a reliable enable signal for subsequent precise TDS / temperature sensor measurements. During the calibration phase, the detection probe is driven at 100kHz, and the resistance-to-concentration conversion coefficient and concentration compensation coefficient are calculated using an equivalent circuit diagram. This allows the detection process to be initiated when the target food in the smart steam oven is cooking. The detection probe is then driven at 10kHz to acquire the resistance value of the thermistor in the probe in contact with the target food. Based on the mapping relationship between the thermistor's resistance and the target food's temperature, the current temperature of the target food is determined. When the current temperature is lower than the target temperature threshold, the total dissolved solids (TDS) value of the target food is continuously monitored. Based on the calculated resistance-to-concentration conversion coefficient, the target concentration compensation coefficient, and the resistance value of the collected solution resistance, the TDS value of the target food is further calculated. At the same time, the first and second rate of change of the TDS value are monitored at fixed intervals. By analyzing the rate of change of TDS and its acceleration, the system can accurately detect the onset of key state transitions such as juice seepage and protein denaturation before the core temperature is fully reached. This allows for the formulation of corresponding cooking strategies, enabling the system to improve the cooking effect of food by real-time monitoring of the TDS solution ion concentration in the target food at different temperatures, and ensuring that the food is at its best for eating.

[0121] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, specific embodiments of this specification have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in a different order than that shown in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0122] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0123] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer storage medium, such as a read-only memory, a disk, or an optical disk.

[0124] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A control method for an intelligent steam oven, characterized in that, The method includes: When the target food in the smart steam oven is in the cooking state, the first resistance value of the thermistor in the detection probe that is in contact with the target food is obtained; Based on the first resistance value, determine the current temperature of the target food; If the current temperature value is less than the target temperature threshold, obtain the resistance concentration conversion coefficient and the target concentration compensation coefficient corresponding to the detection probe; The resistance value of the solution in the detection probe is periodically collected to obtain the resistance value of the solution at at least two collection times. Based on the resistance values ​​corresponding to the at least two sampling times, the resistance-concentration conversion coefficient, and the target concentration compensation coefficient, the total dissolved solids value of the target food corresponding to the at least two sampling times is determined. Based on the mapping relationship between the at least two acquisition times and the total dissolved solids value, a current cooking strategy is generated, and the target food is cooked using the current cooking strategy.

2. The method according to claim 1, characterized in that, The controller inside the intelligent steam oven includes a first output port, a second output port, a first sampling port, and a second sampling port; the step of acquiring the first resistance value of the thermistor in the detection probe in contact with the target food when the target food in the intelligent steam oven is in a cooking state includes: When the target food in the intelligent steam oven is in the cooking state, the first output port is controlled to output a first drive signal and the second output port is controlled to output a second drive signal; the level of the first drive signal is opposite to the level of the second drive signal. The thermistor value acquisition strategy is obtained, along with the first voltage value generated by the first sampling port based on the first driving signal and the second driving signal, and the second voltage value generated by the second sampling port based on the first driving signal and the second driving signal. The thermistor value acquisition strategy includes the correlation between the resistance value of the thermistor, the voltage of the first sampling port, and the voltage of the second sampling port. Based on the first voltage value, the second voltage value, and the thermistor value acquisition strategy, the first resistance value corresponding to the thermistor is determined.

3. The method according to claim 2, characterized in that, The method for obtaining the resistance concentration conversion coefficient includes: A solution resistance value acquisition strategy is used to obtain the solution resistance value corresponding to the solution resistance; the solution resistance value acquisition strategy includes the correlation between the resistance value of the solution, the voltage of the first sampling port, and the voltage of the second sampling port; When the temperature of the sample food is greater than or equal to the reference temperature, the third voltage value of the first sampling port, the fourth voltage value of the second sampling port, and the first total dissolved solids value of the sample food collected by the calibration device in contact with the sample food are obtained. Based on the third voltage value, the fourth voltage value, and the solution resistance value acquisition strategy, determine the second resistance value corresponding to the solution resistance; The ratio between the first total dissolved solids value and the second resistance value is calculated to obtain the resistance concentration conversion coefficient.

4. The method according to claim 3, characterized in that, The method for obtaining the target concentration compensation coefficient includes: Obtain a preset temperature compensation coefficient relationship library; the preset temperature compensation coefficient relationship library includes the mapping relationship between preset food temperature values ​​and preset concentration compensation coefficients; The target concentration compensation coefficient is obtained by searching the preset temperature compensation coefficient database for the concentration compensation coefficient that matches the current temperature value.

5. The method according to claim 4, characterized in that, The method for constructing a pre-defined temperature compensation coefficient relation library includes: Obtain at least two preset temperature values ​​corresponding to the sample food; If the temperature of the sample food is greater than or equal to the target temperature value, the fifth voltage value of the first sampling port, the sixth voltage value of the second sampling port, and the second total dissolved solids value of the sample food collected by the calibration device are obtained; the target temperature value is any one of the at least two preset temperature values. The concentration compensation coefficient at the target temperature is determined based on the fifth voltage value, the sixth voltage value, the second total dissolved solids value, and the resistivity-concentration conversion coefficient. Based on the mapping relationship between the target temperature value and the concentration compensation coefficient, a preset temperature compensation coefficient relationship library is constructed.

6. The method according to claim 5, characterized in that, The step of generating a current cooking strategy based on the mapping relationship between the at least two data collection times and the total dissolved solids value, and cooking the target food using the current cooking strategy, includes: Based on the mapping relationship between the at least two sampling times and the total dissolved solids value, determine the first rate of change of the total dissolved solids in the target food at each of the at least two sampling times; Based on the mapping relationship between the at least two sampling times and the first rate of change, determine the second rate of change of total dissolved solids in the target food at each of the at least two sampling times; The current cooking strategy is generated based on the first rate of change and the second rate of change corresponding to the at least two acquisition times, and the target food is cooked using the current cooking strategy.

7. The method according to claim 6, characterized in that, Before acquiring the first resistance value of the thermistor in the detection probe in contact with the target food when the target food is in a cooking state in the smart steam oven, the method further includes: The current image captured by the image acquisition device inside the intelligent steam oven is obtained, and the current image is processed by image recognition to obtain the image recognition result; If the image recognition result indicates that the target food is inside the smart steam oven, images inside the smart steam oven are periodically collected to obtain at least two images to be analyzed inside the smart steam oven. Perform brightness analysis processing on the at least two images to be analyzed to obtain the brightness analysis results corresponding to each of the at least two images to be analyzed. When the target food in the smart steam oven is in a cooking state, acquiring the first resistance value of the thermistor in the detection probe in contact with the target food includes: If the brightness analysis results corresponding to the at least two images to be analyzed indicate that the brightness of the heating tubes in the smart steam oven in the at least two images to be analyzed is different, the first resistance value of the thermistor is obtained.

8. A smart steam oven, characterized in that, The device includes a controller and a detection probe; the controller performs the control method of the intelligent steam oven as described in any one of claims 1-7; the detection probe is electrically connected to the controller; the detection probe includes a thermistor and a solution resistor connected in series.

9. The intelligent steam oven according to claim 8, characterized in that, The intelligent steam oven further includes a pressure dividing unit, a first filtering circuit, and a second filtering circuit; the pressure dividing unit includes a first pressure dividing unit, a second pressure dividing unit, and a third pressure dividing unit; the controller further includes a first output port, a second output port, a first sampling port, and a second sampling port; The input terminal of the thermistor is connected to the input terminal of the solution resistor and the output terminal of the first voltage divider unit, respectively; the input terminal of the first voltage divider unit is connected to the first output port; the output terminal of the thermistor is connected to the input terminal of the second voltage divider unit and the input terminal of the first filter circuit, respectively; the output terminal of the first filter circuit is connected to the first sampling port; the output terminal of the second voltage divider unit is connected to the ground loop interface. The output terminal of the solution resistor is connected to the input terminal of the third voltage divider unit and the input terminal of the second filter circuit, respectively; the output terminal of the second filter circuit is connected to the second sampling port; and the output terminal of the third voltage divider unit is connected to the second output port.

10. The intelligent steam oven according to claim 9, characterized in that, The intelligent steam oven also includes an image acquisition device and a heating element; the image acquisition device is electrically connected to the controller; the image acquisition device is used to acquire images inside the intelligent steam oven; the heating element is electrically connected to the controller; the heating element is used to heat the food inside the intelligent steam oven.

Images