Power control device and method for oven
Technical Field
The invention relates to the field of oven power control, in particular to a power control device and method of an oven.
Background
The electric oven is an electric heating appliance for baking food by utilizing radiation heat emitted by an electric heating element, and can be used for making baked chicken, baked duck, baked bread, cakes and the like. The temperature of the electric oven can be adjusted within the range of 50-250 ℃ according to different needs of the baked food. One of the electric ovens is an infrared oven that heats food inside the oven using infrared light.
In general, such an infrared oven controls the temperature actually output to a certain value during use, but this is an ideal state, and the actual temperature inside the oven is inevitably affected by the influence of different foods, so that the set value and the actual value deviate. But the existing ovens do not make certain improvements.
In order to solve the above problems, the present invention provides an oven power control device and method, which can adjust the power of an oven in real time and fill up the deviation between a set value and an actual value.
Disclosure of Invention
The invention provides a power control device and method of an oven. The oven power control device and the oven power control method can adjust the power in real time according to the temperature condition inside the oven.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
a power control apparatus of an oven, comprising:
the device comprises a temperature sensor, an infrared power meter, a main control module and an execution module;
the temperature sensor is used for detecting the temperature inside the oven; the infrared power meter is used for detecting the radiation power inside the oven; the main control module is used for calculating the adjusted power value, and the execution module is used for executing the control of the main control module;
the main control module is respectively connected with the temperature sensor, the infrared power meter and the execution module.
Preferably, the main control module comprises: the device comprises a data acquisition module, a calculation module and a transmission module;
the data acquisition module is connected with the calculation module, and the calculation module is connected with the transmission module.
Preferably, the main control module is configured to store the temperature of the oven and control the power of the oven according to the temperature of the oven, where the controlling the power of the oven according to the comparison result specifically includes:
when the temperature needs to be adjusted, acquiring the current radiation power inside the oven;
respectively calculating the change values of the temperature and the radiation power within a certain time;
calculating the change values of the temperature and the radiation power to obtain an adjusting value of the required power;
and the regulating value according to the radiation power corresponds to the regulating value of the oven power.
The method for obtaining the adjustment value of the required power comprises the following steps:
preprocessing the acquired change values of the temperature and the radiation power;
and respectively training and predicting the preprocessed data.
The method for respectively training and predicting the preprocessed data comprises the following steps:
inputting the acquired temperature and radiation power change values into an RBF neural network for training;
and inputting the prediction data into the trained model for prediction to obtain the prediction data.
The training of the data comprises:
initializing a network;
carrying out clustering operation on the input temperature and the radiation power change value;
and calculating the corresponding relation between the temperature difference and the power difference.
Preferably, after the temperature sensor and the infrared power meter acquire the conditions inside the oven, the acquired data are transmitted to the main control module, and the main control module transmits the power adjustment value to the execution module to control the power.
A method of power control of an oven, comprising:
acquiring the current temperature inside the oven;
comparing the current temperature with a preset temperature;
and controlling the power of the oven according to the comparison result.
Preferably, the controlling the power of the oven according to the comparison result specifically includes:
when the temperature needs to be adjusted, acquiring the current radiation power inside the oven;
respectively calculating the change values of the temperature and the radiation power within a certain time;
calculating the change values of the temperature and the radiation power to obtain an adjusting value of the required power;
and the regulating value according to the radiation power corresponds to the regulating value of the oven power. The change values of the temperature and the radiation power are obtained within a certain time, and the change rule of the temperature and the power under the current condition can be accurately judged, so that the subsequent calculation of power regulation is facilitated.
Further preferably, the method for obtaining the adjustment value of the required power includes:
preprocessing the acquired change values of the temperature and the radiation power;
and respectively training and predicting the preprocessed data. The prediction is carried out on the power of the oven, the temperature change condition under the current power has a certain change relation with the power of the oven, and under the change relation, one power corresponds to a specific temperature, so that the power needing to be adjusted can be determined under the environment inside the specific oven by the prediction method, and the adjusting method is more accurate.
Further preferably, the method for training and predicting the preprocessed data respectively comprises:
inputting the acquired temperature and radiation power change values into an RBF neural network for training;
and inputting the prediction data into the trained model for prediction to obtain the prediction data.
Further preferably, the training of the data comprises:
initializing a network;
carrying out clustering operation on the input temperature and the radiation power change value;
and calculating the corresponding relation between the temperature difference and the power difference.
A computer readable storage medium having stored thereon computer program instructions adapted to be loaded by a processor and to execute a method of power control for an oven.
A mobile terminal comprises a processor and a memory, wherein the processor is used for executing a program stored in the memory so as to realize a power control method of an oven.
Compared with the prior art, the invention has the beneficial effects that: by the power control system of the oven, the power of the oven can be adjusted according to the conditions of the actual temperature and the radiation power in the oven, and the actual temperature and the preset temperature in the oven can be adjusted to be in the closest state. Can greatly improve the baking effect of food.
Drawings
The invention is further illustrated with reference to the following figures and examples.
Fig. 1 is a block diagram of a power control apparatus of an oven according to the present invention;
fig. 2 is a flowchart of a power control method of an oven according to the present invention.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic drawings and illustrate only the basic flow diagram of the invention, and therefore they show only the flow associated with the invention.
As shown in fig. 1, the present invention is a power control device of an oven, and the device specifically comprises:
the device comprises a temperature sensor 1, an infrared power meter 2, a main control module 3 and an execution module 4;
the temperature sensor 1 is used for detecting the temperature inside the oven; the infrared power meter 2 is used for detecting the radiation power inside the oven; the main control module 3 is used for calculating the adjusted power value, and the execution module 4 is used for executing the control of the main control module;
the main control module 3 is respectively connected with the temperature sensor 1, the infrared power meter 2 and the execution module 4.
The temperature sensor 1 is used for: and acquiring the temperature value inside the oven in real time, and transmitting the acquired temperature value to the main control module for storage.
The infrared power meter 2 is used for: and acquiring the radiation power value inside the oven in real time, and transmitting the acquired radiation power value to the main control module for storage.
The main control module 3 is used for: the power to be adjusted is controlled according to the temperature in the oven,
the specific control of the power of the oven according to the comparison result is as follows:
when the temperature needs to be adjusted, acquiring the current radiation power inside the oven;
respectively calculating the change values of the temperature and the radiation power within a certain time;
calculating the change values of the temperature and the radiation power to obtain an adjusting value of the required power;
and the regulating value according to the radiation power corresponds to the regulating value of the oven power.
The method for obtaining the adjustment value of the required power comprises the following steps:
preprocessing the acquired change values of the temperature and the radiation power;
and respectively training and predicting the preprocessed data.
The method for respectively training and predicting the preprocessed data comprises the following steps:
inputting the acquired temperature and radiation power change values into an RBF neural network for training;
and inputting the prediction data into the trained model for prediction to obtain the prediction data.
The training of the data comprises:
initializing a network;
carrying out clustering operation on the input temperature and the radiation power change value;
and calculating the corresponding relation between the temperature difference and the power difference.
The execution module 4 is configured to: and controlling the power which is calculated by the main control module and needs to be adjusted.
The main control module comprises: the device comprises a data acquisition module, a calculation module and a transmission module;
the data acquisition module is connected with the calculation module, and the calculation module is connected with the transmission module.
After the temperature sensor and the infrared power meter acquire the condition inside the oven, the acquired data are transmitted to the main control module, and the main control module transmits the power adjusting value to the execution module to control the power.
As shown in fig. 2, the present invention provides an oven power control method, which includes:
s1, acquiring the current temperature inside an oven;
s2, comparing the current temperature with a preset temperature;
and S3, controlling the power of the oven according to the comparison result.
Step S1: and acquiring the current temperature inside the oven. The current temperature of the oven is obtained through a temperature sensor.
Step S2: and comparing the current temperature with the preset temperature.
Step S3: and controlling the power of the oven according to the comparison result. And the step 2 and the step 3 are calculated through a main control module.
The specific control of the power of the oven according to the comparison result is as follows:
when the temperature needs to be adjusted, acquiring the current radiation power inside the oven;
respectively calculating the change values of the temperature and the radiation power within a certain time;
calculating the change values of the temperature and the radiation power to obtain an adjusting value of the required power;
and the regulating value according to the radiation power corresponds to the regulating value of the oven power.
The method for obtaining the adjustment value of the required power comprises the following steps:
preprocessing the acquired change values of the temperature and the radiation power;
and respectively training and predicting the preprocessed data.
The method for respectively training and predicting the preprocessed data comprises the following steps:
inputting the acquired temperature and radiation power change values into an RBF neural network for training;
and inputting the prediction data into the trained model for prediction to obtain the prediction data.
The training of the data comprises:
initializing a network;
carrying out clustering operation on the input temperature and the radiation power change value;
and calculating the corresponding relation between the temperature difference and the power difference.
For example, the difference between the actual temperature measured by the above method and the set temperature can be calculated, and at this time, the temperature inside the oven can be compensated only by adjusting the radiation power, and the adjustment of the radiation power corresponds to the adjustment of the oven power, and the temperature of the oven can be adjusted only by adjusting the oven power.
A computer readable storage medium having stored thereon computer program instructions adapted to be loaded by a processor and to execute a method of power control for an oven.
A mobile terminal comprises a processor and a memory, wherein the processor is used for executing a program stored in the memory so as to realize a power control method of an oven.
By the power control system of the oven, the power of the oven can be adjusted according to the conditions of the actual temperature and the radiation power in the oven, and the actual temperature and the preset temperature in the oven can be adjusted to be in the closest state. Can greatly improve the baking effect of food.
The above detailed description is specific to possible embodiments of the present invention, and the above embodiments are not intended to limit the scope of the present invention, and all equivalent implementations or modifications that do not depart from the scope of the present invention should be included in the present claims.