CN-121995806-A - Operation data analysis and control method of intelligent cooking equipment

CN121995806ACN 121995806 ACN121995806 ACN 121995806ACN-121995806-A

Abstract

The application relates to the technical field of automatic control and discloses an operation data analysis and control method of intelligent cooking equipment, which comprises the following steps of continuously obtaining an operation state index of the cooking equipment and obtaining a reference state parameter of a current cooking stage; the method comprises the steps of constructing a running state track of cooking equipment based on running state indexes, constructing a reference state track of a current cooking stage based on reference state parameters, identifying whether a cooking mismatch state exists in the current cooking stage based on the running state track and the reference state track, carrying out feedback adjustment on the running parameters of the cooking equipment until a cooking state regression condition is met if the cooking mismatch state exists, and otherwise, keeping the running parameters to be preset values of the current cooking stage until the current cooking stage is finished. According to the application, the running state of the cooking process is dynamically analyzed and the feedback adjustment is carried out, so that the stability of the cooking process and the consistency of the cooking result are improved.

Inventors

LI BIN
DAI JUNXI
LIU SHUWEN

Assignees

杭州智膳云链科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260407

Claims (10)

1. The operation data analysis and control method of the intelligent cooking equipment is characterized by comprising the following steps of: continuously acquiring an operation state index of the cooking equipment, and acquiring a reference state parameter of the current cooking stage; constructing a running state track of the cooking equipment based on the running state index, and constructing a reference state track of the current cooking stage based on the reference state parameter; Based on the running state track and the reference state track, identifying whether a cooking mismatch state exists in the current cooking stage; if the current cooking stage has a cooking mismatch state, the operation parameters of the cooking equipment are subjected to feedback adjustment until the cooking state regression condition is met, otherwise, the operation parameters are kept to be preset values of the current cooking stage until the current cooking stage is finished.
2. The method for analyzing and controlling operation data of intelligent cooking equipment according to claim 1, wherein the operation state index is any one of cooking temperature and cooking pressure; The reference state parameters of any cooking stage comprise stage duration, m progress anchor points, target state indexes corresponding to each progress anchor point and state deviation bandwidths corresponding to each progress anchor point, wherein m is a positive integer; the phase duration represents the total duration of the cooking phase from the beginning to the end; Any progress anchor point represents a progress value of a cooking stage, and the value range is 0 to 1, wherein any progress value corresponds to one moment after the cooking stage starts, and the progress value is represented by the ratio of the accumulated duration of the cooking stage at the corresponding moment to the duration of the stage, wherein the accumulated duration is the time difference between the corresponding moment and the starting moment of the cooking stage; The target state index corresponding to any progress anchor point represents a target value of the running state index when the cooking stage reaches the progress value corresponding to the progress anchor point; and the state deviation bandwidth corresponding to any progress anchor point represents the maximum allowable difference between the running state index and the target state index when the cooking stage reaches the progress value corresponding to the progress anchor point.
3. The method for analyzing and controlling the operation data of the intelligent cooking appliance according to claim 2, wherein the method for constructing the operation state track of the cooking appliance comprises the following steps: After the cooking stage starts, respectively calculating the time difference between each moment and the starting moment of the cooking stage to obtain the corresponding accumulated duration of each moment, respectively calculating the progress value of each moment based on the accumulated duration and the stage duration, and constructing the running state track based on the progress value of each moment and the running state index, wherein the running state track is a sequence formed by the running state indexes and specifically comprises the running state indexes corresponding to each progress value, and the running state indexes are arranged according to the sequence of the corresponding progress values from small to large.
4. The method for analyzing and controlling operation data of intelligent cooking appliance according to claim 3, wherein the reference state trace of any cooking stage comprises a target state curve; The method for constructing the target state curve comprises the steps of obtaining a target state curve section between two corresponding progress anchor points through cubic spline interpolation based on the target state indexes of any two adjacent progress anchor points, wherein the target state curve section comprises a target state value corresponding to each progress value between the two progress anchor points, and splicing all the target state curve sections into the target state curve.
5. The method for analyzing and controlling operational data of intelligent cooking appliance as set forth in claim 4, wherein the reference state trajectory of any one cooking phase further comprises a first deviation curve and a second deviation curve; The method for constructing the target state curve comprises the steps of respectively calculating first deviation indexes corresponding to each progress anchor point, wherein the first deviation index corresponding to any progress anchor point is the sum of the target state index and the state deviation bandwidth of the progress anchor point; the second deviation curve comprises second deviation indexes corresponding to each progress value of the corresponding cooking stage, the method for constructing the target state curve comprises the steps of calculating the second deviation indexes corresponding to each progress anchor point respectively, wherein the second deviation indexes corresponding to any progress anchor point are differences between the target state indexes and state deviation bandwidths of the progress anchor points, and the first deviation curve is obtained through cubic spline interpolation based on the second deviation indexes corresponding to each progress anchor point.
6. The method for analyzing and controlling operation data of intelligent cooking appliance according to claim 5, wherein identifying whether a cooking mismatch condition exists in a current cooking phase comprises: based on the running state track and the reference state track, respectively calculating the state deviation amount and the trend deviation amount of each progress value of the current cooking stage; for any progress value of the current cooking stage, calculating the product of the state deviation amount and the trend deviation amount to be used as a trend modeling variable of the corresponding progress value; And if the absolute values of the state deviation values of at least K continuous progress values are detected to be larger than the state deviation threshold, and the trend evolution variables of the at least K continuous progress values are all larger than 0, a cooking mismatch state exists in the current cooking stage, wherein K is a positive integer.
7. The method for analyzing and controlling operation data of intelligent cooking appliance according to claim 6, wherein the method for calculating the state deviation of any progress value of the current cooking phase comprises the steps of: based on the running state track and the reference state track, respectively extracting a running state index, a target state index, a first deviation index and a second deviation index corresponding to any progress value; Calculating the difference between the running state index and the target state index to serve as a state deviation index of the corresponding progress value; Setting a reference deviation index based on the state deviation index, wherein the reference deviation index is the difference between a first deviation index corresponding to a progress value and a target state index if the state deviation index is larger than 0, otherwise, the reference deviation index is the difference between the target state index corresponding to the progress value and a second deviation index; And calculating the ratio of the state deviation index to the reference deviation index as the state deviation amount of the corresponding progress value.
8. The method for analyzing and controlling operation data of intelligent cooking appliance according to claim 7, wherein the method for calculating the trend deviation of any progress value of the current cooking phase comprises the steps of: marking any progress value as a target progress value; setting a state observation window on the running state track by taking a target progress value as an end point, wherein the state observation window comprises n continuous progress values, and n is a positive integer; calculating the average change rate of the running state indexes in the state observation window, and taking the average change rate as the state change rate of the target progress value; setting a target observation window on the target state curve by taking a target progress value as an end point, wherein the target observation window comprises n continuous progress values; calculating the average change rate of the target state indexes in the target observation window, and taking the average change rate as the target change rate of the target progress value; and calculating the difference between the state change rate and the target change rate as the trend deviation amount of the target progress value.
9. The method for analyzing and controlling operation data of intelligent cooking equipment according to claim 8, wherein the operation parameters of the cooking equipment comprise heating power and pressure relief parameters; The feedback adjustment of the operation parameters of the cooking equipment comprises the adjustment of the corresponding operation parameters through a PID controller so as to inhibit the state deviation index; The PID controller inputs state deviation indexes of the corresponding progress values at any moment, outputs the state deviation indexes as adjustment amounts of the operation parameters at the corresponding moment, and adjusts the operation parameters at any moment through the adjustment amounts of the operation parameters.
10. The method for analyzing and controlling operation data of intelligent cooking appliance according to claim 9, wherein the method for judging whether the cooking state regression condition is satisfied is as follows: And if the absolute values of the state deviation values of at least N continuous progress values are detected to be smaller than the state deviation threshold value and the trend evolution values of the at least N continuous progress values are detected to be smaller than 0, the cooking state regression condition is met, wherein N is a positive integer.

Description

Operation data analysis and control method of intelligent cooking equipment Technical Field The application relates to the technical field of automatic control, in particular to an operation data analysis and control method of intelligent cooking equipment. Background One of the core goals of intelligent cooking appliances is to achieve stabilization and repeatability of the cooking process. Different dishes often need to undergo different states such as heating up, curing, stewing and the like in the cooking process, and physical processes such as temperature, steam pressure, water evaporation and the like in the pot can jointly influence the heating mode and curing effect of the food materials. Therefore, the method and the device have the advantages that the equipment operation parameters are programmed and managed in the industry, so that the cooking process is kept stable within a certain range, and the fluctuation of the cooking effect caused by the difference of manual experience is reduced. Meanwhile, with the application of the sensor technology and the embedded control technology, part of equipment can also collect data such as temperature, pressure and the like in the running process, and basic information is provided for monitoring and controlling the running state of the equipment. However, from the overall technical level of the industry, automatic cooking devices still have certain limitations. The in-pot thermal and steam conditions typically exhibit continuously varying characteristics during actual cooking, with the variation being affected by various factors such as the type of food material, initial temperature, feed rate, moisture content, and thermal inertia of the device. Because these factors have a large uncertainty in the actual use environment, there are differences in the state changes in the pot under different cooking conditions. The cooking device is also affected by various external factors such as environmental temperature change, aging of the device, batch difference of food materials and the like in the long-term operation process, and the factors can have certain influence on the in-pot heating state and the steam environment, so that the operation stability of the device and the consistency of cooking results are affected. The information disclosed in this background section is only for enhancement of understanding of the general background of the application and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person of ordinary skill in the art. Disclosure of Invention The application aims to overcome the defects of the prior art, and provides an operation data analysis and control method of intelligent cooking equipment, which improves the stability of the cooking process and the consistency of the cooking result by dynamically analyzing the operation state of the cooking process and performing feedback adjustment. In order to solve the technical problems, the application provides the following technical scheme: An operation data analysis and control method of intelligent cooking equipment comprises the following steps: continuously acquiring an operation state index of the cooking equipment, and acquiring a reference state parameter of the current cooking stage; constructing a running state track of the cooking equipment based on the running state index, and constructing a reference state track of the current cooking stage based on the reference state parameter; Based on the running state track and the reference state track, identifying whether a cooking mismatch state exists in the current cooking stage; if the current cooking stage has a cooking mismatch state, the operation parameters of the cooking equipment are subjected to feedback adjustment until the cooking state regression condition is met, otherwise, the operation parameters are kept to be preset values of the current cooking stage until the current cooking stage is finished. As a preferable scheme of the operation data analysis and control method of the intelligent cooking equipment, the operation state index is any one of cooking temperature and cooking pressure; The reference state parameters of any cooking stage comprise stage duration, m progress anchor points, target state indexes corresponding to each progress anchor point and state deviation bandwidths corresponding to each progress anchor point, wherein m is a positive integer; the phase duration represents the total duration of the cooking phase from the beginning to the end; Any progress anchor point represents a progress value of a cooking stage, and the value range is 0 to 1, wherein any progress value corresponds to one moment after the cooking stage starts, and the progress value is represented by the ratio of the accumulated duration of the cooking stage at the corresponding moment to the duration of the stage, wherein the accumulated duration is the time differ