JPH04129006U - heating cooker - Google Patents

Abstract

(57) [Summary] [Purpose] To improve the accuracy of heating control based on the initial temperature in the heating chamber and the rise time of the temperature in the heating chamber. [Configuration] The control circuit 17 determines whether the initial temperature in the heating chamber measured by the temperature sensor 16 is "low" or "medium".
Or is it "high", or is it "quick" or "medium" the time it takes for the temperature in the heating room to rise to a certain temperature, as detected by the temperature sensor when food is heated on the grill? , or is it "slow"? We observe heating from the perspective of a membership function, assign a grade to each observation, and then perform fuzzy inference based on the observations to find the optimal heating requirement for heating. It is now possible to complete heating cooking by determining the time.

Description

[Detailed explanation of the idea]

0001

[Industrial application field]

The present invention relates to heating cookers such as grills and ovens.

0002

[Conventional technology]

The automation of heating cooking has progressed, making it easier to achieve optimal heating.

0003 As an automatic cooker of this kind, it operates a grill heater or oven heater. Observe the rise (gradient) of the temperature in the heating chamber afterward to determine the amount of food stored in the heating chamber. Estimate and determine the amount of energy required for heating and the time required for heating to achieve optimal heating. What we do is put into practical use.

0004

[Problem that the idea aims to solve]

However, with the control method described above, the temperature in the heating chamber varies depending on the type of food. Differences in uphill or slope can only be determined as differences in the amount of food, and only limited types of food can be detected. It was only available for food items. Also, when the heating chamber condition is high or low, Even if the food is the same, there will be differences in the rising temperature, so it depends on the temperature of the heating chamber. In some cases, automatic control was not possible.

[0005] Please note that it is important to assume all possible situations and to be able to satisfy all of them. Although it is not impossible, it would simply increase the memory capacity and make it impractical. That's what happens.

[0006]

[Means to solve the problem]

In order to solve the above-mentioned problems, the present invention aims to solve the above-mentioned problems by In addition to determining whether the initial temperature in the room is “high,” “medium,” or “low,” heating Does the temperature in the heating room rise quickly, moderately, or slowly after the heating starts? Observe the heating from the perspective of whether it is good or not. For this purpose, each area is - membership function, and observation results from each membership function. Assign a grade to each. Then, based on the observation results, Eliminate wasted energy consumption by determining the optimal time required for heating Complete heating cooking.

[0007]

[Effect]

Whether the initial temperature in the heating chamber measured by the temperature sensor is "high" or "medium" , or is it "low"? In addition, the rise in temperature in the heating chamber after heating starts is "low". Membership function perspective: “early,” “medium,” or “slow.” After each grade is observed from the pre-prepared fuzzy inference The time required for heating is determined according to the rules, and cooking is performed.

[0008]

【Example】

An embodiment of the present invention will be described below with reference to the drawings.

[0009] Figure 1 is a side cross-sectional view of one embodiment of the present invention, where 1 is a heating chamber, and 2 is housed in this heating chamber. The example shown is saury sprinkled with salt. 3 and 4 are on the heating chamber ceiling. 5 and 6 are the grills attached to the heater chambers 3 and 4. It's Lujita. These grill heaters 5 and 6 are sheathed heaters or ceramic tubes. It is a type that emits abundant infrared energy by red heat such as a vent heater. be. 7 is an exhaust air passage that passes through the grill heater chambers 3 and 4 and the outside of the cooker body; This is the exhaust outlet portion of the exhaust air passage 7. Reference numeral 9 is provided in this exhaust outlet portion 8 and is connected to the aforementioned grill. The air inside the heating chamber 1 is sucked through the heater chambers 3 and 4 and the exhaust air passage 7, and the air is then regulated. This is a suction type blower for discharging water outside the main body. 10 is a heater for generating hot air. , 11 is a hot air fan for circulating the hot air into the heating chamber. 12 is a mug In Netron, 13 is the opening/closing door, 14 is the turntable, and 15 is this turntable. This is a motor for driving the wheel. 16 is a temperature sensor that detects the temperature inside the heating chamber, and 17 performs so-called fuzzy inference based on the signal of the temperature sensor 16, and also performs grouping. Controls the operation of the rill heaters 5 and 6, the hot air generation heater 10, and the fans 9 and 11. This is a control circuit composed of a microcomputer to control the

0010 Next, FIG. 2 shows the initial temperature in the heating chamber measured by the temperature sensor 16. Figure 3 shows an example of the so-called conditional membership function of The so-called conditions regarding the rise in temperature in the heating chamber detected by the temperature sensor 16 after An example of the subject membership function and Figure 4 are fuzzy inference rules. An example of the conclusion membership function for the heating time to be determined according to This is what is shown.

[0011] Now, set the salted saury in the heating chamber 1 of the cooker shown in Figure 1, and Let us operate the heaters 5 and 6 to grill fish.

0012 At the start of cooking, the control circuit 17 detects the initial temperature in the heating chamber using the temperature sensor 16. In addition to measuring the temperature rise in the predetermined heating chamber through the same temperature sensor 16 during heating. In other words, the time required for a predetermined rise is measured.

[0013] Now, assuming that the measured temperature in the heating room is 35°C, as shown in Figure 2, In addition to obtaining a grade of 0.7 for the membership function "I", For the membership function "moderate", a grade of 0.2 is obtained. It looks like this.

[0014] Next, regarding the rise in heating chamber temperature, suppose that a predetermined temperature rise is detected in 4 minutes. , a grade of 0.3 is obtained for the membership function "fast". In addition, there is a grade of 0.6 for the “moderate” membership function. It is now possible to obtain it.

[0015] In addition, depending on the initial temperature in the heating chamber, the membership function "high" may be Needless to say, it is now possible to obtain all grades. Also, rising The same goes for "slow".

[0016] In the embodiment of the present invention, nine fuzzy inference rules are used as shown in Figure 5. It is provided as a table in the control circuit 17, and is used to indicate that the initial temperature in the heating chamber is "low". (grade 0.7) and the rise is “quick” (grade 0.3). As shown in Rule 1, "low" (grade 0.3) is given as a way to calculate the required heating time. It is being Also, if the initial temperature in the heating chamber is “low” (grade 0.7), the rise will be slow. There are rules for adjusting the heating time in the case of “moderate” (grade 0.6). 2, "moderate" (grade 0.6) is given. In addition, the heating room The initial temperature is “medium” (grade 0.2) and the rise is “quick” (grade 0.3) In this case, the way to calculate the required heating time is to use "low" (grade) as in rule 4. 0.2), and the initial temperature in the heating chamber rises to "medium" (grade 0.2). When the heating time is "medium" (grade 0.6), the required heating time is calculated using the following rule. "Moderate" (grade 0.2) is given, as in Le 5.

[0017] As can be seen from this rule table Figure 5, the handling when each condition is combined is Regarding the membership function of the conclusion section regarding the required heating time, refer to the group of the condition section. I try to take the minimum value of the rades.

[0018] Figure 4 shows the logic of the conclusion membership function obtained according to the rules described above. It is a diagram that shows the sum, or the whole, and the grade includes all conclusions. The maximum value is taken so that The hatched area indicates the area It is.

[0019] After performing this fuzzy inference, the control circuit 17 determines the area center of gravity of the hatched area. , and derive a definitive value regarding the required heating time. The area center of gravity in Figure 4 is when heating is required. Since the position is 23 minutes and 50 seconds, the control circuit 17 is activated when the grill heaters 5 and 6 are activated. The heating time of 25 minutes 00 seconds, which is set as a standard value, is canceled and shortened. The operation will be completed after heating for the specified time. This will cause overcooking etc. Grill fish efficiently without causing any problems or consuming unnecessary energy. Cooking.

[0020]

[Effect of the idea]

As described above, according to the present invention, the initial temperature inside the heating chamber measured by the temperature sensor is In addition to whether the temperature is "low," "medium," or "high," The temperature rise in the heating chamber detected by the temperature sensor when heating is performed. Is the time required for a given temperature rise "fast", "medium", or "slow"? We observe heating from the perspective of membership functions such as and perform fuzzy inference based on the observed results. By determining the optimal heating time for heating, the optimal heating time can be determined for the quality and quantity of food ingredients. It is now possible to complete the cooking process.

[Brief explanation of the drawing]

FIG. 1 is a side sectional view of an embodiment of the present invention.

FIG. 2 is a diagram showing a condition part membership function regarding the initial temperature in the heating chamber.

FIG. 3 is a diagram showing a conditional membership function regarding the rise in temperature in the heating room.

FIG. 4 is a diagram showing a conclusion part membership function.

FIG. 5 is a rule table for fuzzy inference.

[Explanation of symbols]

1 Heating chamber 2 Food 7 Exhaust air duct 8 Exhaust outlet 16 Temperature sensor 17 Control circuit

──────────────────────────────────────────────── ─── Continuation of front page (72) Creator Masanori Shimosawa Nihon Co., Ltd. 23-1 Shinjuyo, Kashiwa City, Chiba Prefecture Inside the standing platform tech

Claims (1)

[Scope of utility model registration request] [Claim 1] A heating chamber (1) that stores food materials, and heaters (5, 6) that heat the food stored in this heating chamber.
and a temperature sensor (16) for measuring the temperature in the heating chamber.
and the time required for the initial temperature at the start of heating measured by the temperature sensor and the temperature in the heating chamber detected by the temperature sensor at the start of heating the food to be "low" or "low";'medium' or 'high'
and ``early'', ``medium'', or ``slow'' membership functions, and give a grade for each conditional membership function for the observed result, and evaluate these conditional membership functions. The grade of the conclusion part membership function to be obtained based on is determined according to the inference rule table prepared in advance, and the grade is determined according to the determined value obtained by calculating the area centroid of the logical sum of the determined conclusion part membership function. A heating cooker comprised of a control circuit (17) that adjusts the heating time by the heater.