CN107752723B - Intelligent cooking system - Google Patents
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- CN107752723B CN107752723B CN201711003658.8A CN201711003658A CN107752723B CN 107752723 B CN107752723 B CN 107752723B CN 201711003658 A CN201711003658 A CN 201711003658A CN 107752723 B CN107752723 B CN 107752723B
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- 238000010411 cooking Methods 0.000 title claims abstract description 368
- 238000000034 method Methods 0.000 claims abstract description 49
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- 238000012545 processing Methods 0.000 claims abstract description 23
- 235000013305 food Nutrition 0.000 claims description 48
- 239000000463 material Substances 0.000 claims description 36
- 238000010438 heat treatment Methods 0.000 claims description 29
- 230000008859 change Effects 0.000 claims description 18
- 239000002994 raw material Substances 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 10
- 238000005303 weighing Methods 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 9
- 230000007613 environmental effect Effects 0.000 claims description 6
- 230000010365 information processing Effects 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 4
- 239000000779 smoke Substances 0.000 claims description 4
- 235000019640 taste Nutrition 0.000 claims description 4
- 238000007599 discharging Methods 0.000 claims description 3
- 239000004615 ingredient Substances 0.000 claims description 2
- 238000011022 operating instruction Methods 0.000 claims 1
- 230000009467 reduction Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 24
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 20
- 238000004088 simulation Methods 0.000 description 10
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- 230000002159 abnormal effect Effects 0.000 description 4
- 241000282414 Homo sapiens Species 0.000 description 3
- 238000012937 correction Methods 0.000 description 3
- 239000008157 edible vegetable oil Substances 0.000 description 3
- 230000001960 triggered effect Effects 0.000 description 3
- 239000004278 EU approved seasoning Substances 0.000 description 2
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- 238000011161 development Methods 0.000 description 2
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- 230000005856 abnormality Effects 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J27/00—Cooking-vessels
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J36/00—Parts, details or accessories of cooking-vessels
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- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- General Preparation And Processing Of Foods (AREA)
Abstract
The invention relates to an intelligent cooking system, comprising: the intelligent cooking system comprises an intelligent cooking robot, user terminal equipment and a server, wherein the user terminal equipment acquires a cooking menu from the server, the cooking menu comprises a cooking curve, a plurality of identification points are arranged in the cooking curve, and priority configuration information of cooking parameters is arranged on the identification points; the user terminal equipment performs fitting processing on the cooking curve according to the initial cooking information to form a fitted cooking curve; the intelligent cooking robot runs according to the fitted cooking curve to finish the cooking process, so that the automation, high reduction and intelligent operation of cooking are completely realized.
Description
Technical Field
The invention belongs to the technical field of intelligent robots, and particularly relates to an intelligent cooking system.
Background
Cooking is always the main labor of modern families, the life rhythm of people is fast at present, the working pressure is high, and people do not have more time to prepare cooking in the living environment, so that the intelligent kitchen replaces the traditional people to cook in person to make delicious meals with higher and higher call. Along with the rapid development of artificial intelligence science and technology in recent years, the application field of the intelligent robot is wider and wider, and the application of the intelligent robot in the cooking field is also a necessary development trend. However, how to combine the manual skill of various tastes of dishes made by human depending on experience and skill with an intelligent robot is a problem which is difficult to solve.
Therefore, how to develop an intelligent cooking system to replace human beings to make delicious dishes becomes a hot problem of current research.
Disclosure of Invention
In order to solve the above problems in the prior art, the present invention provides an intelligent cooking system.
An embodiment of the present invention provides an intelligent cooking system, including: an intelligent cooking robot, user terminal equipment and a server, wherein,
the method comprises the steps that the user terminal equipment obtains a cooking menu from a server, the cooking menu comprises a cooking curve, a plurality of identification points are arranged in the cooking curve, and priority configuration information of cooking parameters is arranged on the identification points;
the user terminal equipment performs fitting processing on the cooking curve according to the initial cooking information to form a fitted cooking curve;
and the intelligent cooking robot operates according to the fitted cooking curve to finish the cooking process.
In one embodiment of the present invention, the intelligent cooking robot includes: the intelligent cooking device comprises a machine body (10), a robot arm (20), an operation table (30), intelligent cooking equipment (40) and an intelligent control device; wherein,
the robot arm (20) is arranged above the machine body (10) and used for executing cooking operation according to the instruction of the intelligent control device;
the operating table (30) is arranged on the upper surface of the machine body (10) and comprises a raw material area (31), a cooking area (32) and a dish discharging area (33); the raw material area (31) is used for placing food raw materials and enabling the robot arm (20) to pre-process the food raw materials, the cooking area (32) is used for enabling the robot arm (20) to cook the food raw materials, and the dish outlet area (33) is used for enabling the robot arm (20) to contain prepared food;
the intelligent control device is arranged in the machine body (10) and comprises a communication unit, a processing unit, a control unit, a detection unit and a prompt unit, wherein the communication unit is used for interacting with user terminal equipment to enable the intelligent control device to download a processed cooking menu from the user terminal, and the control unit is used for controlling the robot arm (20), the operating platform (30) and the intelligent cooking equipment (40) to perform corresponding cooking operation according to the downloaded cooking menu according to an instruction of the processing unit.
In one embodiment of the present invention, the detection unit includes: the device comprises a collecting device, a weighing device and a sensor device; the sensor device is used for collecting the change of the related physical quantity of the cooking process and monitoring the cooking process, and the weighing device is used for acquiring the weight of food materials.
In one embodiment of the invention, the acquisition device comprises a camera.
In one embodiment of the invention, the sensor device comprises: temperature sensor, humidity transducer, pressure sensor, flowmeter, power meter, smoke sensor, gas sensor.
In one embodiment of the invention, the robot arm (20) comprises a first robot arm (21), a first robot arm (22), a second robot arm (23) and a second robot arm (24).
In one embodiment of the invention, the processing unit generates the downloaded cooking recipe into an operation instruction for controlling the intelligent cooking robot.
In one embodiment of the invention, the cooking zone (32) comprises a heating device, the heating means being electromagnetic heating.
In one embodiment of the invention, the material section (31) comprises a weighing device.
In an embodiment of the invention, the user terminal device is provided with information processing special software for editing and fitting the cooking recipe.
According to the embodiment of the invention, the cooking menu is downloaded from the server through the user terminal equipment and is transmitted to the intelligent cooking robot, the intelligent cooking robot finishes the cooking process according to the cooking menu, the cooking menu is realized by adopting a cooking curve mode, the cooking process is controlled to be completely fitted and operated according to the preference of the user by taking the identification point set in the cooking curve as the target point, and the cooking automation, high reduction and intelligent operation are completely realized.
Drawings
Fig. 1 is a schematic diagram of a logic structure of an intelligent cooking system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an intelligent cooking robot according to an embodiment of the present invention;
fig. 3 is a functional structure diagram of an intelligent control device of an intelligent cooking robot according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a logic structure for generating and using a cooking recipe of the intelligent cooking robot according to the embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a cooking process of the intelligent cooking robot according to the embodiment of the present invention;
FIG. 6 is a schematic diagram of a cooking curve fitting process according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a cooking curve of an intelligent cooking robot according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a fitted cooking curve of the intelligent cooking robot according to the embodiment of the present invention;
fig. 9 is a schematic diagram of another fitted cooking curve of the intelligent cooking robot according to the embodiment of the present invention;
fig. 10 is a schematic diagram of a cooking curve of a fitted intelligent cooking robot according to another embodiment of the present invention;
fig. 11 is a schematic diagram of a cooking curve of another fitted intelligent cooking robot according to an embodiment of the present invention; and
fig. 12 is a schematic diagram of a cooking curve of another fitted intelligent cooking robot according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to specific examples, but the embodiments of the present invention are not limited thereto.
Example one
Please refer to fig. 1and fig. 1, which are schematic diagrams illustrating a logic structure of an intelligent cooking system according to an embodiment of the present invention; the intelligent cooking system includes: intelligent cooking robot, user terminal equipment, server. The method comprises the steps that a user terminal device obtains a cooking menu from a server, wherein the cooking menu comprises a cooking curve, a plurality of identification points are arranged in the cooking curve, and priority configuration information of cooking parameters is arranged on the identification points; the user terminal equipment performs fitting processing on the cooking curve according to the initial cooking information to form a fitted cooking curve; and the intelligent cooking robot operates according to the fitted cooking curve to finish the cooking process.
Referring to fig. 2, fig. 3and fig. 4, fig. 2 is a schematic functional structure diagram of an intelligent control device of an intelligent cooking robot according to an embodiment of the present invention; fig. 3 is a schematic diagram of a logic structure for generating and using a cooking recipe of the intelligent cooking robot according to the embodiment of the present invention; fig. 4 is a schematic diagram of a logic structure for generating and using a cooking recipe of the intelligent cooking robot according to the embodiment of the present invention.
The intelligent cooking robot comprises a machine body 10, a robot arm 20, an operation table 30, intelligent cooking equipment 40 and an intelligent control device; wherein,
the robot arm 20 includes a first robot arm 21, a first robot arm 22, a second robot arm 23 and a second robot arm 24, which are disposed above the machine body 10, and are configured to perform cooking operations according to instructions of the intelligent control device, and the robot arm 20 can cover the entire console 30 to perform processing operations within the console 30.
The operation table 30 is arranged on the upper surface of the machine body 10 and comprises a raw material area 31, a cooking area 32 and a dish discharging area 33; a feed zone 31; the material area 31 is used for placing food materials and enabling the robot arm 20 to perform pretreatment operation on the food materials, the cooking area 32 is used for enabling the robot arm 20 to perform cooking operation on the food materials, and heating equipment is arranged below the cooking area 32 in an electromagnetic heating mode; the serving area 33 is used for the robot arm 20 to hold prepared food.
The intelligent cooking apparatus 40 is used to contain food ingredients in cooking.
The intelligent control device is arranged inside the machine body 10 and comprises a communication unit, a processing unit, a control unit, a detection unit and a prompt unit.
The communication unit is used for interacting with the user terminal equipment, and the user terminal equipment transmits the processed cooking menu to the intelligent cooking robot through the communication unit and can also upload the customized cooking menu to the server from the user terminal equipment. The cooking recipe comprises a cooking curve, a plurality of identification points are arranged in the cooking curve, and priority configuration information of cooking parameters is arranged on the identification points; when the cooking menu is uploaded, the environmental information such as geographic environment, atmospheric temperature, humidity, cooking season time and the like is marked in a key query condition mode, so that other inquirers can conveniently perform optimal query matching. To protect the personal privacy of the cooking recipe producer, the latitude and longitude information may be obfuscated to some standard.
The control unit is used for controlling the robot arm 20, the operation table 30 and the intelligent cooking equipment 40 to perform corresponding cooking operation according to the downloaded cooking menu according to the instruction of the processing unit.
And the processing unit generates the downloaded cooking menu into an operation instruction for controlling the intelligent cooking robot.
The detection unit includes: the device comprises a collecting device, a weighing device and a sensor device; wherein, the collecting device is used for capturing food material images and cooking process images and sounds, such as a camera, a recorder and the like; the sensor equipment is used for collecting the change of the related physical quantity of the cooking process and monitoring the cooking process, and the weighing equipment is used for acquiring the weight of the food materials. Wherein the weighing device may be located below the ingredient area.
Wherein the sensor device comprises: temperature sensor, humidity sensor, pressure sensor, flowmeter, power meter, smoke sensor, gas sensor; wherein the intelligent cooking apparatus 40 includes some sensor devices for detecting various conditions during cooking; such as a temperature sensor, provided in the intelligent cooking apparatus 40 for detecting a real-time temperature in cooking food.
The detection unit is used for collecting relevant physical quantities of the cooking process, such as time, temperature, humidity, pressure, exhaust quantity, heating power, gas and air inflow and the like, and is used for making a cooking curve; the information such as the type, the weight and the like of food materials is recorded, so that the cooking menu is convenient to share; recording cooking site picture video and audio for cooking sharing and cooking curve making; other information related to the cooking process, such as dry burning, over temperature, fire, etc., is detected, and environmental factors such as the user's geographical environment, atmospheric temperature, humidity, cooking time and season are recorded.
The prompting unit is used for cooking alarm, related prompt and the like of each stage, such as power off and cooking completion.
The user terminal equipment is used for interacting with a user and installing information processing special software for editing and fitting the cooking menu; the related cooking information recorded by the detection unit can present the recorded physical quantity change including the cooking curve on the user terminal equipment through the communication unit in time sequence, the user calibrates the cooking process through manual operation on the user terminal equipment, namely setting an identification point on the cooking curve, and the user controls the cooking process through setting the cooking operation priority at the identification point, namely setting a cooking judgment condition and cooking operation information, wherein the cooking operations are sorted according to the priority. The user terminal equipment can also finish editing and generating of cooking recipes, simulation analysis of the cooking recipes, user-defined correction of the cooking recipes and the like. The user terminal equipment can also perform simulation analysis on a menu curve in the downloaded cooking menu, mainly performs simulation analysis on the realizability of the menu according to the processing capacity of the intelligent cooking robot, and comprises the steps of using the identification points as target points and performing fitting processing on the cooking curve by using the priority configuration information on the identification points so as to finish the cooking process. The method comprises the steps of fitting a cooking process physical quantity change curve with time as a horizontal axis and correcting the cooking curve by taking the cooking operation priority at an identification point as a target. The downloaded cooking curve can be corrected according to the setting of the user, the user analyzes the corrected cooking curve through checking simulation, and if the user is satisfied, the intelligent cooking robot cooks according to the curve; unsatisfied, the user sets up the change to the cooking curve, accomplishes final cooking curve. The user terminal may be a PC, PAD, smart phone.
Referring to fig. 5, fig. 5 is a schematic diagram of a cooking process of the intelligent cooking robot according to the embodiment of the present invention. The process may include the steps of:
step 1, a user inputs cooking initial information and key query conditions through information processing software of user terminal equipment;
step 2, the user terminal device downloads a cooking menu meeting the key query condition from the server and displays the cooking menu on the user terminal device, wherein the cooking menu comprises a cooking curve, a plurality of identification points are arranged in the cooking curve, and priority configuration information of cooking parameters is arranged on the identification points;
step 3, the information processing software of the user terminal device performs fitting processing on the cooking curve according to the input cooking initial information to form a fitted cooking curve, and the fitted cooking curve is transmitted to the intelligent control device through the communication unit of the intelligent cooking robot;
and 4, the control unit controls the robot arm 20, the operating platform 30 and the intelligent cooking equipment 40 to operate according to the fitted cooking curve so as to complete the cooking process.
For the step 1and the step 2, the user needs to prepare the food materials in the earlier stage, including the types and the qualities of the main materials, the auxiliary materials and the seasonings, and the initial temperature of the special food materials. The user can input the types of the main materials, the auxiliary materials and the seasonings through the acquisition equipment; the mass of the food material may be input by means of a weighing device. The server selects at least one cooking menu from the plurality of cooking menus according to the priority and sends the at least one cooking menu to the user terminal equipment for selection by the user according to the cooking initialization information and the key query condition input by the user; the cooking initialization information comprises at least one of rated working power of the heating equipment, cooking region information of the user, taste information of the user and cooking season information.
The priority configuration information comprises a logic expression for configuring the cooking judgment condition according to the cooking type, the logic expression is a logic combination of cooking parameters, and the cooking parameters comprise a temperature value, a temperature slope, time, humidity, a pressure value and a weight value.
The format of the priority configuration information is, for example:
(condition 1AND condition 2AND condition 3AND … ….) operation 1, operation 2 … …;
(Condition 1OR Condition 2OR Condition 3OR … ….) operation 1, operation 2 … ….
Setting cooking judgment conditions for setting priority configuration information, wherein the cooking judgment conditions can be the temperature reaching amount; how much pressure reaches; how much humidity is reached, how long it lasts, etc. The method has the advantages that different users can conveniently fit the same menu in different environments, the recipe can be as close to the cooking curve as possible, flexible cooking operation is realized, and the operation is not strictly carried out according to the time interval on the cooking curve.
Referring to fig. 6 for step 3, fig. 6 is a schematic diagram of a cooking curve fitting process according to an embodiment of the present invention, where the fitting process may include:
and step 31, judging whether the intelligent cooking robot can operate according to the cooking curve or not between the two adjacent identification points according to the rated parameters of the heating equipment, the actual cooking food material quantity and/or the environmental information.
If yes, go to step 32: taking the cooking curve as a fitted cooking curve;
if not, go to step 33: and correcting the cooking curve according to the power characteristic of the heating equipment and the priority configuration information, and taking the corrected cooking curve as a fitted cooking curve.
Wherein, according to the power characteristic of heating equipment and combine priority configuration information to revise the cooking curve, include:
for the temperature rise operation, taking the temperature parameter in the priority configuration information corresponding to the identification point as a target parameter, carrying out correction processing according to the maximum power of the heating equipment, and taking the corrected cooking curve as a cooking curve between the two identification points;
and correspondingly cooling, controlling the heating equipment to stop heating by taking the temperature parameter in the priority configuration information of the corresponding identification point as a target parameter, and/or calculating the water adding amount according to the temperature parameter, the heat capacity of the food material and the ambient water temperature of the last identification point, adding the water adding amount information into the priority configuration information of the corresponding identification point, and taking the corrected cooking curve as a cooking curve between the two identification points.
For step 31, specifically, the method includes: and the user terminal equipment judges whether the intelligent cooking robot can operate according to the cooking curve according to the rated parameters of the heating equipment, the actual cooking food material amount and the environmental information (such as temperature, humidity, air pressure and the like). User terminal equipment is at the daily culinary art in-process of user, through carrying out the analysis to the culinary art curve of gathering, can obtain intelligent cooking robot's culinary art ability under the different situation, like the change slope of the physical quantity under the different situations (not only including the process of rising, still including the process of falling), the temperature rate of change, the pressure rate of change, humidity rate of change etc, usable data in the past carry out more accurate culinary art emulation, in order to adapt to the different edible material volume of same menu, and adapt to the different external culinary art environment of same menu, like temperature, humidity, atmospheric pressure etc.
For step 32, the working cooking curve of the intelligent cooking robot can be matched with the cooking recipe curve within a certain precision range by using a fuzzy control algorithm, for example.
In step 33, the intelligent cooking robot is adjusted to perform optimized operation by taking the second identification point as a target point, and if the temperature rise process is performed, the heating equipment can be operated according to the maximum power; for the water adding cooling process, the water adding amount can be given according to the current cooking temperature, the target cooking temperature, the environmental water temperature and the heat capacity of food materials, and the accurate cooling is carried out according to the actual situation; the heating device can be completely stopped heating in the cooling process without adding water, and the like.
And step 4, generating an operation instruction for controlling the intelligent cooking robot by the processing unit according to the simulated and fitted cooking curve, controlling the mechanical arm 20 to process food materials by the control unit according to the generated instruction, cooking according to the simulated and fitted cooking curve, identifying identification points on the cooking curve, controlling the mechanical arm 20 to operate according to the content of the identification points, and controlling the mechanical arm 20 to place the prepared food into a container prepared in a dish outlet area in advance until the cooking is finished. When an accident occurs in the cooking process, the intelligent cooking robot stops cooking. The operation of the robotic arm 20 included in the content of the identification point may be a specific cooking operation, processing food, stir-frying, adding food, taking out of the pot, and the like.
Further, the method may further include: and detecting whether the current cooking state is abnormal or not, controlling the intelligent cooking robot to stop working when the abnormal state occurs, and sending warning information to the user through a prompting unit or user terminal equipment.
Wherein the abnormal condition comprises: the mechanical arm does not perform the action of adding edible oil to cause the pot body to smoke, or the mechanical arm does not perform the action of adding water to cause the cooked food to become pasty, and the like.
Further, the method may further include: and monitoring whether the mechanical arm carries out corresponding cooking operation according to the content of the identification point, pausing when the corresponding cooking operation is not carried out, stopping the operation of the cooking curve, keeping the original cooking state, and alarming the user.
According to the embodiment, the user terminal device downloads the cooking menu from the server, the cooking curve is subjected to fitting processing according to characteristics such as food materials and environments, the cooking curve is transmitted to the intelligent cooking robot through the communication unit, the mechanical arm, the operating console and the intelligent cooking device are controlled to operate according to the cooking curve, the intelligent cooking robot can replace human beings to make delicious dishes completely meeting the individual taste of the user, and full automation and intelligentization of cooking are really achieved.
Example two
Referring to fig. 7, 8, 9, 10, 11 and 12, fig. 7 is a schematic diagram of a cooking curve of an intelligent cooking robot according to an embodiment of the present invention; fig. 8 is a schematic diagram of a fitted cooking curve of the intelligent cooking robot according to the embodiment of the present invention; fig. 9 is a schematic diagram of another fitted cooking curve of the intelligent cooking robot according to the embodiment of the present invention; fig. 10 is a schematic diagram of a cooking curve of a fitted intelligent cooking robot according to another embodiment of the present invention; fig. 11 is a schematic diagram of another fitted cooking curve provided in an embodiment of the present invention, and fig. 12 is a schematic diagram of another fitted intelligent cooking robot cooking curve provided in an embodiment of the present invention. The present embodiment illustrates the intelligent cooking method of the present invention based on the above-described embodiments as follows.
Firstly, downloading a cooking menu shown in fig. 7 from an internet end to a mobile phone of a user, inputting relevant initial information into the mobile phone by the user, and performing simulation processing by information processing software on the mobile phone, wherein the simulation processing specifically comprises the following steps:
1. reading the menu information, simulating and analyzing a physical quantity change curve, extracting the maximum slope and the minimum slope of the change curve, wherein the change slope is the maximum in a section from 0 to t1 of the cooking curve, and the change slope is the minimum in a section from t1 to t2 of the cooking curve.
2. The type and the quality of the food materials are identified, and the heat capacity of the food materials is obtained from the server side, so that the heat absorption and heat release capacity of the cooked food materials is obtained. In the figure, t 1-t 2, t3-t 4, t 4-t 5 and t7-t 8 all cause the temperature of the intelligent cooking equipment to be reduced due to the fact that food materials with lower temperature are added. 0 to t1, t1 to t2, t3 to t4, t5 to t6 and t7 to t8 all contain temperature rising curves when the food is heated by heating equipment with certain power/fire power. The change of the curve is related to the total heat capacity, heating power/firepower and heat dissipation conditions of the food material.
3. When the maximum slope of the physical quantity change curve which can be realized by the intelligent cooking robot of the user is larger than the maximum slope of the cooking curve on the recipe, the intelligent cooking robot can operate according to the cooking curve on the recipe; when the maximum slope of the physical quantity change curve which can be realized by the intelligent cooking robot of the user is smaller than the maximum slope of the cooking curve on the recipe, the intelligent cooking robot can simulate whether the maximum physical quantity in a certain cooking curve can be reached or not by a method of prolonging the heating time. As shown in FIG. 7, the duration of t 1' is greater than the duration of t1, and the curve is fit to the actual slope of the curve within the achievable range.
4. And correcting the fitted cooking curve by taking the cooking operation judgment condition at the identification point as a target to obtain the optimal cooking mode. In FIG. 8, T4 denotes the expression for the point, "(Condition 1: temperature reached T1) operation 1: water is added ", since the temperature is decreased due to the fact that the food material 1 is put in the mark point T3, and the judgment condition of the mark point T4 is" temperature reached T1 ", the simulation can be performed without depending on the slope of the original cooking curve, the change slope of the cooking curve is increased by increasing the heating power/fire, and the whole cooking time is reduced, as shown in fig. 9.
The expression at the point indicated by T5 in FIG. 9 is "(Condition 1: temperature reached T4) operation 1: stir-fry ", combining the contents of the point marked by t4, it is known that the temperature decrease is caused by adding water, the simulation curve at this point cannot be consistent with the original cooking curve and lower reaching temperatures occur, as shown in fig. 8 and 9. The reason is caused by the fact that the raw material quantity is inconsistent, the ambient temperature is inconsistent, the temperature of the added water is inconsistent, and other factors, for example, the temperature of the water added by the intelligent cooking robot is lower, the detection unit can identify the temperatures at t4 and t5, the added water quantity is given according to the ambient water temperature and the heat capacity of the food material, and the temperature is reduced according to the actual situation, so that the cooking operation priority of the identification point is set, and the recipe can be conveniently suitable for food materials with different weights and different cooking external environments, as shown in fig. 10.
5. Cooking curve user correction, as represented by the expression "(condition 1: temperature reached T1) operation 1 at the point identified by T4: and adding water ", if the user thinks that the cooking time of the food 1 is insufficient, adding a new identification point, cooking the food for a period of time by the intelligent cooking equipment at the temperature T1, adding water for cooling, adding a new identification point T4', and changing the expression of the identification point T4 into operation 1 (condition 1: reaching the temperature T1): no ", T4 'identifies the expression of the point as" (condition 1: run (T4' -T4) duration AND condition 2: hold temperature T1) operation 1: water "was added as shown in fig. 11.
A fitted cooking curve is finally formed as shown in fig. 12. The cooking simulation can enable the intelligent cooking robot to get rid of the limitation of running strictly according to time, and the intelligent cooking robot can be better adapted to different conditions in an intelligent mode.
Next, after the fitting is completed, the robot arm 20 and the intelligent cooking device are controlled according to the fitted cooking curve (shown in fig. 12) to perform a cooking process according to the fitted cooking curve. The method comprises the following specific steps:
the first step is as follows: cooking starts, the first identification point on the cooking curve is identified, t1 identifies the point expression "(condition 1: cooking start) operation 1: adding edible oil ", when the control unit monitors that cooking starts, triggering operation to control the mechanical arm 20 to add edible oil.
The second step is as follows: the control unit identifies whether the mechanical arm 20 is operated according to the cooking menu requirement; the control unit identifies the next marked point T2 on the cooking curve, which is expressed as "(condition 1: run (T3-T2) duration AND condition 2: hold temperature T1) operation 1: food material 1 is put in, and operation 2: and (3) stir-frying, wherein the heating device enables the intelligent cooking device to automatically keep the temperature T1 unchanged, after the operation (T3-T2) is long, the two judgment conditions are both met, the operation is triggered, the control unit controls the mechanical arm 20 to put the food material 1 in, and stir-frying is carried out.
The third step: if the control unit identifies that the mechanical arm is not operated according to the requirement due to the abnormality, the equipment stops and gives a warning prompt to the user. After the operation is stopped, if the user needs to continue the operation, the user can press an operation switch on the user terminal equipment to carry out manual cooking, the operation is carried out again by taking the judgment condition at the identification point as a target, and even if the temperature of the intelligent cooking equipment reaches T1, the judgment condition does not need to be met again because the intelligent cooking equipment is operated for a time length of (T3-T2) before the interruption.
The fourth step: due to the abnormal situation of the third step, the T4 identification point becomes "(condition 1: reached temperature T1) operation 1: no ", when it is monitored that the temperature reaches T1, the next identification point is identified, AND the expression for the identification point T4 'is ″ (Condition 1: run (T4' -T4) duration AND Condition 2: maintain temperature T1) operation 1: and adding water ", wherein the mechanical arm 20 adds the water according to the water adding amount obtained by simulation.
The fifth step: the judgment condition of the t5 marking point is as follows: "(Condition 1: temperature T4 reached) operation 1: and (4) frying, the intelligent cooking robot operates according to a cooking curve, monitors whether the temperature reaches T2, and fries by the mechanical arm 20 after the condition is met.
A sixth step of: the judgment condition of the t6 marking point is as follows: "(Condition 1: temperature T2 reached) operation 1: and no', the intelligent cooking robot runs according to a cooking curve and monitors whether the temperature reaches T2.
A seventh step of: the T7-identified point judgment condition is "(condition 1: run (T7-T6) duration AND condition 2: hold temperature T2) operation 1: food material 2 is put in, and operation 2: and (5) stir-frying. The control unit controls the heating device to control the temperature so that the intelligent cooking device keeps the temperature T2 unchanged, after the operation (T7-T6) is long, the two judgment conditions are met, the operation is triggered, the food 2 is placed into the mechanical arm 20, and the stir-frying is carried out.
The eighth step: the judgment condition of the t8 marking point is as follows: "(Condition 1: temperature T3 reached) operation 1: and if not, the intelligent cooking robot operates according to a cooking curve, and a temperature sensor in the intelligent cooking equipment monitors whether the temperature reaches T3.
The ninth step: the judgment condition of the t9 marking point is as follows: "(Condition 1: run (T9-T8) duration AND condition 2: temperature maintenance T3) operation 1: finish cooking ". The intelligent cooking equipment automatically keeps the temperature T3 unchanged, after the intelligent cooking equipment runs for a long time (T9-T8), the two judgment conditions are met, the operation is triggered, the cooking is finished, and the mechanical arm puts the prepared food into a container prepared in the dish outlet area in advance.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (10)
1. An intelligent cooking system, comprising: an intelligent cooking robot, user terminal equipment and a server, wherein,
the method comprises the steps that the user terminal equipment obtains a cooking menu from a server, the cooking menu comprises a cooking curve, a plurality of identification points are arranged in the cooking curve, and priority configuration information of cooking parameters is arranged on the identification points; wherein,
the priority configuration information comprises a logic expression for configuring cooking judgment conditions according to cooking types, the logic expression is a logic combination of cooking parameters, and the cooking parameters comprise temperature values, temperature slopes, time, humidity, pressure values and weight values;
the user terminal equipment performs fitting processing on the cooking curve according to the initial cooking information to form a fitted cooking curve; wherein,
the cooking initialization information comprises at least one of rated working power of the heating equipment, cooking region information of a user, taste information of the user and cooking season information;
the fitting process includes:
step 1: judging whether the intelligent cooking robot can operate according to the cooking curve or not between two adjacent identification points according to rated parameters of heating equipment, actual cooking food material quantity and/or environmental information;
if yes, executing step 2: taking the cooking curve as a fitted cooking curve;
if not, executing the step 3: correcting the cooking curve according to the power characteristic of the heating equipment and by combining the priority configuration information, and taking the corrected cooking curve as a fitted cooking curve;
and the intelligent cooking robot operates according to the fitted cooking curve to finish the cooking process.
2. The intelligent cooking system of claim 1, wherein the intelligent cooking robot comprises: the intelligent cooking device comprises a machine body (10), a robot arm (20), an operation table (30), intelligent cooking equipment (40) and an intelligent control device; wherein,
the robot arm (20) is arranged above the machine body (10) and used for executing cooking operation according to the instruction of the intelligent control device;
the operating table (30) is arranged on the upper surface of the machine body (10) and comprises a raw material area (31), a cooking area (32) and a dish discharging area (33); the raw material area (31) is used for placing food raw materials and enabling the robot arm (20) to pre-process the food raw materials, the cooking area (32) is used for enabling the robot arm (20) to cook the food raw materials, and the dish outlet area (33) is used for enabling the robot arm (20) to contain prepared food;
the intelligent control device is arranged in the machine body (10) and comprises a communication unit, a processing unit, a control unit, a detection unit and a prompt unit, wherein the communication unit is used for interacting with user terminal equipment to enable the intelligent control device to download a processed cooking menu from the user terminal, and the control unit is used for controlling the robot arm (20), the operating platform (30) and the intelligent cooking equipment (40) to perform corresponding cooking operation according to the downloaded cooking menu according to an instruction of the processing unit.
3. The intelligent cooking system according to claim 2, wherein the detection unit includes: the device comprises a collecting device, a weighing device and a sensor device; the sensor device is used for collecting the change of the related physical quantity of the cooking process and monitoring the cooking process, and the weighing device is used for acquiring the weight of food materials.
4. The intelligent cooking system according to claim 3, wherein the collection device comprises a camera.
5. The intelligent cooking system according to claim 3, wherein the sensor device comprises: temperature sensor, humidity transducer, pressure sensor, flowmeter, power meter, smoke sensor, gas sensor.
6. The intelligent cooking system according to claim 2, wherein the robot arm (20) comprises a first robot arm (21), a first robot arm (22), a second robot arm (23), and a second robot arm (24).
7. The intelligent cooking system of claim 6, wherein the processing unit generates the downloaded cooking recipe into operating instructions for controlling the intelligent cooking robot.
8. The intelligent cooking system according to claim 2, wherein the cooking zone (32) comprises a heating device, the heating being electromagnetic heating.
9. The intelligent cooking system according to claim 2, wherein the ingredient area (31) comprises a weighing device.
10. The intelligent cooking system of claim 1, wherein the user terminal device is provided with information processing dedicated software for editing and fitting the intelligent recipe.
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| CN201711003658.8A CN107752723B (en) | 2017-10-24 | 2017-10-24 | Intelligent cooking system |
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| CN201711003658.8A CN107752723B (en) | 2017-10-24 | 2017-10-24 | Intelligent cooking system |
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| CN108681283B (en) * | 2018-05-23 | 2021-07-02 | 北京豆果信息技术有限公司 | Intelligent cooking method and system |
| CN110572351B (en) * | 2018-06-05 | 2022-03-11 | 佛山市顺德区美的电热电器制造有限公司 | Intelligent cooking method, server and computer readable storage medium |
| CN108980915B (en) * | 2018-09-13 | 2020-02-11 | 深圳北鱼信息科技有限公司 | Intelligent cooking method and intelligent cooking stove combined product |
| JP7230412B2 (en) * | 2018-10-04 | 2023-03-01 | ソニーグループ株式会社 | Information processing device, information processing method and program |
| CN111045347B (en) * | 2018-10-12 | 2022-11-25 | 宁波方太厨具有限公司 | Multi-kitchen electricity cooperative cooking method and system based on intelligent menu |
| CN109407607A (en) * | 2018-11-13 | 2019-03-01 | 杜翌 | Intelligent cooking apparatus, intelligent cooking control system, control method, intelligent kitchen |
| CN109597339A (en) * | 2018-12-17 | 2019-04-09 | 珠海市研泰电子科技有限公司 | A kind of intelligent cooking machine people |
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| CN111329358A (en) * | 2020-04-28 | 2020-06-26 | 佛山市顺德区美的洗涤电器制造有限公司 | Control method of cooking appliance, cooking appliance and readable storage medium |
| CN114831515A (en) * | 2021-01-31 | 2022-08-02 | 云米互联科技(广东)有限公司 | Remote control intelligent cooking method and intelligent cooking equipment thereof |
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Effective date of registration: 20230905 Address after: Room 10107, Unit 1, Building 3, No. 295, South 2nd Ring East Section, Beilin District, Xi'an City, Shaanxi Province, 710000 Patentee after: Xi'an Shanhong Catering Management Co.,Ltd. Address before: 710065 Xi'an new hi tech Zone, Shaanxi, No. 86 Gaoxin Road, No. second, 1 units, 22 stories, 12202 rooms, 51, B block. Patentee before: XI'AN CREATION KEJI Co.,Ltd. |