CN115453904A

CN115453904A - Food material processing control method and device based on Internet of things

Info

Publication number: CN115453904A
Application number: CN202211151601.3A
Authority: CN
Inventors: 李成志
Original assignee: Zhongshan Junguo Electrical Appliances Co ltd
Current assignee: Zhongshan Junguo Electrical Appliances Co ltd
Priority date: 2022-09-21
Filing date: 2022-09-21
Publication date: 2022-12-09

Abstract

The invention provides a food material processing control method and device based on the Internet of things, wherein the method comprises the following steps: acquiring a current processing menu and running state data of the food processor, wherein the running state data comprises working environment parameters or processing state parameters; when the operation state data is abnormal, obtaining an optimization scheme with high relevance to the current processing menu and the operation state data, wherein the optimization scheme at least comprises power compensation parameters corresponding to each menu and the operation state data; and controlling the food processor to process food materials according to the optimization scheme so as to at least enable the processing state parameters to be continuously in a normal numerical range. The device uses the method. The invention can effectively guarantee the quality of the dish.

Description

Food material processing control method and device based on Internet of things

Technical Field

The invention relates to the technical field of food processing, in particular to a food material processing control method and device based on the Internet of things.

Background

When the existing food processor adopts the same menu and the same food material to process, the product production effect of the food processor is generally influenced by working environments such as temperature, humidity and voltage and the current health condition of the food processor, and when the working environment parameters or the processing state parameters are different, the product production effect of the same food material can also be different.

Taking unstable power grid voltage as an example, if the power grid voltage fluctuates, so that the working voltage of the food processor is lower than 0.9 times of the standard voltage, or higher than 1.05 times of the standard voltage, although the food processor has the capability of working under the corresponding under-voltage or over-voltage condition, and each function can continue to operate, parameters such as the rotating speed, the heating efficiency and the like can be changed, and the quality of the product is reduced.

How to ensure the product quality of the food processor can still maintain the expected level in a poor working environment or current health condition of the food processor becomes a problem to be solved.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides a food material processing control method and device based on the Internet of things, and solves the defect that the same menu and the same food material yield effect are different when the working environment of a food processor or the current health condition of the food processor is poor in the prior art.

The technical scheme of the invention is realized as follows: a food material processing control method based on the Internet of things is used for controlling a food processor through a cloud platform and comprises the following steps:

acquiring a current processing menu and running state data of the food processor, wherein the running state data comprises working environment parameters or processing state parameters;

when the operation state data is abnormal, obtaining an optimization scheme with high relevance to the current processing menu and the operation state data, wherein the optimization scheme at least comprises power compensation parameters corresponding to each menu and the operation state data;

and controlling the food processor to process food materials according to the optimization scheme so as to at least enable the processing state parameters to be continuously in a normal numerical range.

According to the embodiment of the invention, the operation state data of the food processor is monitored in real time when the food processor processes a certain menu, and when the working environment parameter or the processing state parameter data are abnormal, an optimization scheme with high relevance to the currently processed menu and the operation state data is obtained, wherein the optimization scheme at least comprises power compensation parameters corresponding to each menu and the operation state data; and controlling the food processing machine to process food according to the optimization scheme so as to at least enable the processing state parameters to be continuously in a normal numerical range. On one hand, the running state data can be related to the standard working parameters of the food processor, such as nominal voltage and current, and on the other hand, the running state data can also be related to the requirements of the current processed menu, such as temperature, humidity, stirring frequency and force. The normal numerical range of the running state data is determined through the standard working parameters of the food processor and the current processing menu, so that the normal working requirement of the food processor can be met, the service life of the food processor is guaranteed, the corresponding normal numerical range can be set according to different menus, the stability of the product output effect of the food processor is improved, and the compatibility and the adaptability of the food processor to the personalized menu are improved. Meanwhile, when the state of the food processor is reduced, positive/negative compensation can be carried out on indexes such as the rotating speed, the pressure or the heating power of the food processor by providing the optimal power compensation parameter, and the quality of the food can be effectively guaranteed.

In one embodiment, in view of the above one or more technical solutions, a normal numerical range of the operating state data of the food processor is usually set by a manufacturer, and may not correspond to a normal numerical range of the optimal operating state data of each recipe, meanwhile, working environment parameters such as grid voltage, temperature, humidity, and the like in the same area have high relevance, and a user taste also has high consistency, and an optimization scheme of the food processor corresponding to the recipes cannot be standardized, shared, and pushed quickly and automatically, and this embodiment further provides an improvement scheme, specifically, before the step of obtaining the current processing recipe and operating state data of the food processor, the operation state data includes the working environment parameters or the processing state parameters, the method further includes:

acquiring a food processor in the same position area, and determining a first set;

acquiring working environment parameters of each food processor in the first set within a period of time;

screening the food processors with the same or similar working environment parameters from the first set to obtain a second set;

generating an optimization scheme corresponding to each food processor in the second set according to the menu and the running state data of each food processor in the second set;

when the operation state data is abnormal, an optimization scheme with high relevance to the current processing menu and the operation state data is obtained from the cloud platform, the optimization scheme at least comprises the steps of power compensation parameters corresponding to each menu and the operation state data, and the steps comprise:

when any food processor in the second set is abnormal in operation state data, pushing a corresponding optimization scheme to the food processor;

and when the abnormal data is judged to be the working environment parameters, pushing the corresponding optimization schemes to other food processors in the second set for the user to confirm and select.

The embodiment of the invention determines the first set by acquiring the food processors in the same position area; acquiring working environment parameters of each food processor in the first set within a period of time; screening the food processors with the same or similar working environment parameters from the first set to obtain a second set; and generating an optimization scheme corresponding to each food processor in the second set according to the menu and the running state data of each food processor in the second set. The cloud platform can automatically and quickly classify and integrate the food processors with the same or similar working environment parameters in the same position area, and is beneficial to providing a more specific, targeted and personalized optimization scheme for each food processor in the integrated second set aiming at different recipes and various corresponding abnormal operating state data. Simultaneously, through when judging that unusual data is the operational environment parameter, supply the user to confirm the selection to other cooking machines propelling movement corresponding optimization scheme in the second set for when other cooking machines are when predetermineeing the same menu of time within range preparation, can needn't experience above-mentioned running state data unusual testing process, avoided unusual emergence, promoted the ease for use of cooking machine on the one hand, on the other hand has further ensured the play product effect of cooking machine.

In one embodiment, in view of the above one or more technical solutions, the optimization scheme is generated intelligently by a manufacturer or a cloud platform, and does not have the defects of customer screening and poor product quality, this embodiment further provides an improvement scheme, and specifically, the step of generating the optimization scheme corresponding to each food processor in the second set according to the recipe and the operating state data of each food processor in the second set specifically includes:

and acquiring the processing menu of each food processor in the second set, the actual power compensation parameter when the running state data is abnormal and the user feedback data, determining the power compensation parameter when the corresponding running state data is abnormal of each processing menu, and generating an optimization scheme.

In this embodiment, the power compensation parameter when the corresponding operation state data is abnormal is determined by obtaining the processing recipe of each food processor in the second set, the actual power compensation parameter when the operation state data is abnormal, and the user feedback data according to the difference between the user feedback result and the score, where the power compensation parameter may be the same as the actual power compensation parameter of a certain high-score or good-score user, or may be generated intelligently according to the actual power compensation parameters of a plurality of high-score or good-score users, and the mode of intelligent generation includes, but is not limited to, determination by a preset weighting formula. According to the embodiment, the determination mode of the optimization scheme is more suitable for the preference of the user of the processor in the second set by combining the user feedback data, the working environment parameters of the corresponding region and the taste preference of the user are comprehensively considered, and the method is more intelligent and humanized.

In one embodiment, for the above embodiment, in order to provide a method for intelligently pushing an optimization scheme through a mobile terminal such as a mobile phone, this embodiment further provides an improvement scheme, and specifically, the step of pushing a corresponding optimization scheme to other food processors in the second set for a user to confirm selection includes:

acquiring the identity of other food processors in the second set;

determining a user registration account corresponding to each food processor identity;

and pushing the deployment suggestion of the optimization scheme to the corresponding user registration account through a background, wherein the deployment suggestion is displayed on an APP corresponding to the food processor in the user mobile terminal.

In this embodiment, the identity of other food processors in the second set is obtained; determining a user registration account corresponding to each food processor identity; and pushing the deployment suggestion of the optimization scheme to the corresponding user registration account through a background, wherein the deployment suggestion is displayed on an APP corresponding to the food processor in the user mobile terminal. The cloud platform can push the optimization scheme of the corresponding menu to the user registration account through the APP of the mobile terminal when the abnormal working environment parameters in the region are detected through any food processor and the user selects the corresponding menu processing scheme, and the mobile terminal is usually carried about by the user, so that the user has high reliability and instantaneity on receiving the deployment suggestion. The user can carry out the selection to confirm the operation to one or more optimization schemes that push to APP, and the operation is simpler, directly perceived and convenient.

In one of the embodiments, as a specific implementation scheme of the food processor communicating with the mobile terminal and the cloud platform, the embodiment further provides an improved scheme, the food processor is configured with a network module for communicating with the mobile terminal, and the cloud platform acquires a current processing menu and running state data of the food processor through the mobile terminal, and controls the food processor to perform food processing operation according to the optimized scheme through the mobile terminal.

This embodiment is through the connection media with mobile terminal as cloud platform and cooking machine, can ensure real-time, high efficiency and the reliability of communication.

In one embodiment, in view of the above technical solution, there is a problem that a mobile terminal (first mobile terminal) cannot connect to the internet, so that a corresponding food processor (first food processor) cannot upload running state data in real time and receive an optimization scheme of a processing recipe in real time, and this embodiment further provides a method for connecting a food processor to a cloud platform, which is used for realizing network connection between the first food processor and the cloud platform by using another mobile terminal (second mobile terminal) instead of the first mobile terminal, where the method includes:

when the first mobile terminal cannot be connected with the Internet, the first food processor corresponding to the first mobile terminal sends an agent connection request to a second food processor in the same area;

the second food processor responds to the proxy connection request and sends a proxy networking request to a second mobile terminal corresponding to the second food processor;

the second mobile terminal is connected with the cloud platform through the agent networking request, and the first food processor is connected with the cloud platform through the second food processor and the second mobile terminal in sequence.

In the embodiment, when the first mobile terminal cannot be connected to the internet, the first food processor corresponding to the first mobile terminal sends an agent connection request to the second food processor in the same area; the second food processor responds to the proxy connection request and sends a proxy networking request to a second mobile terminal corresponding to the second food processor; second mobile terminal passes through agent networking request back for first cooking machine passes through the LAN and is connected with the second cooking machine, and be connected with the cloud platform via the second cooking machine, when having realized the unable online of mobile terminal that arbitrary cooking machine corresponds in same region, can realize being connected with the cloud platform by the mobile terminal that other cooking machines correspond in same region, make arbitrary cooking machine can upload running state data at any time through other people's mobile terminal, and receive the optimization scheme of processing menu, the real-time of communication has been ensured, high efficiency and reliability.

In one embodiment, in order to ensure smooth implementation of the above improvement scheme, after the step of connecting the first food processor to the cloud platform sequentially through the second food processor and the second mobile terminal after the second mobile terminal requests the internet through the proxy, the method further includes:

and executing reward operation corresponding to the user registration account of the second food processor according to the transmission time length or the data transmission quantity of the second mobile terminal and the first food processor.

This embodiment is through according to second mobile terminal is with transmission duration or data transmission volume of first cooking machine, carries out the reward operation that corresponds to the user registration account number of second cooking machine for user in the same region has the higher enthusiasm of helping other people's cooking machine networking, has further ensured the real-time, high efficiency and the reliability of communication.

The invention also provides a food material processing control device based on the Internet of things, which comprises the following components:

the system comprises a first acquisition module, a second acquisition module and a processing module, wherein the first acquisition module is used for acquiring a current processing menu and running state data of the food processor, and the running state data comprises working environment parameters or processing state parameters;

the second acquisition module is used for acquiring an optimization scheme with high relevance to the current processing menu and the running state data when the running state data is abnormal, wherein the optimization scheme at least comprises power compensation parameters corresponding to each menu and the running state data;

and the control module is used for controlling the food processor to process food materials according to the optimization scheme so as to at least enable the processing state parameters to be continuously in a normal numerical range.

The invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the food material processing control method based on the Internet of things when executing the computer program.

The invention also provides a computer storage medium, on which a computer program is stored, and when the program is executed by a processor, the method for controlling the processing of the food material based on the internet of things is realized.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a flowchart of a food material processing control method based on the internet of things according to a first embodiment of the present invention;

fig. 2 is a flowchart of a food processing control method based on the internet of things according to a second embodiment of the present invention, wherein a corresponding connection method between a food processor and a cloud platform is further provided;

fig. 3 is a flowchart of a food material processing control method based on the internet of things according to a third embodiment of the present invention;

fig. 4 is a detailed flowchart of a specific implementation manner of the third embodiment S37 of the present invention;

FIG. 5 is a detailed flowchart of another specific implementation manner of the third embodiment S37 of the present invention;

fig. 6 is a block diagram of a food processing control device based on the internet of things according to a fourth embodiment of the present invention;

fig. 7 is a schematic diagram of the internal structure of a computer according to still another embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be described below clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments, and well-known modules, units and their connections, links, communications or operations with each other are not shown or described in detail. Furthermore, the described features, architectures, or functions may be combined in any manner in one or more embodiments. It should be understood by those skilled in the art that the following embodiments are illustrative only and are not intended to limit the scope of the present invention. It will also be readily understood that the modules or units or processes of the embodiments as described herein and illustrated in the figures may be combined and designed in a wide variety of different configurations. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In the following embodiments, unless the definition of the terms or methods is logically impossible, the terms or methods are generally subject to broad concepts that can be implemented on the premise of the disclosure in the embodiments, and under the understanding, specific lower specific definitions of the terms or methods should be regarded as the summary of the invention, and the specific definitions are not disclosed in the specification, so that the specific definitions can be understood narrowly or interpreted divergently. Illustratively, when the invention refers to a cloud platform, the cloud platform not only includes a virtual network server, but also includes a real physical device, which not only has the capability of data storage, but also has the capability of data operation, intelligent analysis and reasoning. Similarly, the order of steps in the method is flexible and changeable under the premise of logic implementation, and specific limitations on specific terms of terms or specific terms of the broad concepts of the method fall within the scope of protection of the present invention.

The first embodiment:

referring to fig. 1, an embodiment of the invention discloses a food material processing control method based on the internet of things, which is used for controlling a food processor through a cloud platform, and the method includes the following steps:

s11, acquiring the current processing menu and the operation state data of the food processor, wherein the operation state data comprise working environment parameters or processing state parameters.

The food processor provided by the invention comprises commercial or household full-automatic or semi-automatic equipment for processing food materials, including but not limited to a juicer, a cook machine, a wall breaking machine, a bread maker, a soybean milk maker, a cooking machine and the like, wherein the food processor comprises a non-vacuum food processor and a vacuum food processor, and the embodiment takes the vacuum food processor as an example for description.

In this step, when the food processor is in the operating state, the cloud platform may perform network connection with the food processor in a direct or indirect manner, in the direct manner, the food processor generally has a networking function, and may perform direct and real-time data transmission with the cloud platform, where the network transmission rate is greater than 20MB/S, the data transmission delay is <100ms, and the number of single network nodes that can be synchronously connected is > 1000.

The current processing menu and the operation state data of the food processor are obtained in the step, the operation state data can be collected by one or more sensors in the food processor, the operation state data comprise working environment parameters or processing state parameters, and are taken as a specific scheme without limitation, the working environment parameters comprise but are not limited to ambient temperature, altitude, air pressure, current or voltage and other data, and the processing state parameters comprise but are not limited to temperature of a processing container (a processing container or a heating part) of the food processor, temperature of food materials, internal pressure (internal pressure of a vacuum container) of the food processor or rotating speed (a processing part such as a stirrer or a slice) and other data.

Above-mentioned acquisition of running state data can be continuously acquireed, also can acquire when specific process according to predetermineeing the procedure, exemplarily, when the cooking machine is in the stirring state, acquire rotational speed and processing container temperature data, when the cooking machine is in the culinary art state, acquire processing container temperature, eat material temperature and internal pressure data to make acquireing of running state data more accurate and effective, do benefit to the reliability of judging running state data anomaly, and provide the optimization scheme when corresponding the process.

And S12, when the running state data is abnormal, obtaining an optimization scheme with high relevance to the current processing menu and the running state data, wherein the optimization scheme at least comprises power compensation parameters corresponding to each menu and the running state data.

For example, the cloud platform or the food processor background usually stores a threshold value when corresponding operating state data of a corresponding recipe is abnormal in each process, where the threshold value may be set by a manufacturer, may also be read from the recipe, and may also be set by a user according to the user's needs, which is not limited in this embodiment. Correspondingly, the optimization scheme is an improved scheme with high relevance with the current processing menu and the running state data, and at least comprises power compensation parameters corresponding to the menus and the running state data, wherein the power compensation parameters are used for adjusting the rotating speed of the processing part, the heating power of the heating part or the internal pressure of the food processor, and the like.

Similarly, the optimization scheme may be set by a manufacturer, may also be read from a menu, and may also be set or selected by a user according to the user's own needs, which is not limited in this embodiment. As a preferable mode, the optimized mode is not limited, and the rotation speed of the processing unit, the heating power of the heating unit, or the internal pressure of the food processor in each step may be set individually, so as to further improve the quality of the product.

And S13, controlling a food processing machine to process food materials according to the optimization scheme so as to enable the processing state parameters to be continuously in a normal numerical range.

In this step, the cloud platform can control the cooking machine and adopt the optimization scheme that corresponds to carry out edible material processing operation when corresponding the process, so that at least make processing state parameter lasts and is in normal numerical range.

As a preferred scheme but not limited thereto, the food processor of this embodiment is configured with a network module for communicating with a mobile terminal, and the cloud platform acquires the current processing menu and running state data of the food processor through the mobile terminal, and controls the food processor to perform food processing operation according to the optimized scheme through the mobile terminal.

In this embodiment, because some users' food processors are disposed in the kitchen corner of the home, the quality of network signals is poor, the transmission rate is inevitably affected, and network delay is caused, in order to avoid affecting the user experience, the solution is used as a scheme for indirectly performing network connection with the food processor through a cloud platform, but not limited, in this embodiment, the mobile terminal is used as a connection medium between the cloud platform and the food processor, wherein the food processor may be connected with the mobile terminal through one of a plurality of wireless technology standards such as bluetooth, wi-Fi (IEEE 802.11), infra (IrDA), zigBee (IEEE 802.15.4), and the mobile terminal is connected with the cloud platform through the internet.

As a specific solution, but not limited thereto, the mobile terminal includes a handheld mobile device such as a mobile phone, a tablet computer, an MP4, a personal palm computer, or a notebook computer.

According to the embodiment of the invention, the operation state data of the food processor is monitored in real time when the food processor processes a certain menu, and when the working environment parameter or the processing state parameter data are abnormal, an optimization scheme with high relevance to the currently processed menu and the operation state data is obtained, wherein the optimization scheme at least comprises power compensation parameters corresponding to each menu and the operation state data; and controlling the food processing machine to process food according to the optimization scheme so as to at least enable the processing state parameters to be continuously in a normal numerical range. On the one hand, the running state data can be related to the standard working parameters of the food processor, such as nominal voltage and current, and on the other hand, the running state data can also be related to the requirements of the current processed menu, such as temperature, humidity, stirring frequency and force. The normal numerical range of the running state data is determined through the standard working parameters of the food processor and the current processing menu, so that the normal working requirement of the food processor can be met, the service life of the food processor is guaranteed, the corresponding normal numerical range can be set according to different menus, the stability of the product output effect of the food processor is improved, and the compatibility and the adaptability of the food processor to the personalized menu are improved. Meanwhile, when the state of the food processor is reduced, positive/negative compensation can be carried out on indexes such as the rotating speed, the pressure or the heating power of the food processor by providing the optimal power compensation parameter, and the quality of the food can be effectively guaranteed.

Second embodiment:

in view of the above problem that in the scheme of the embodiment in which the cloud platform is indirectly connected to the food processor through the network, a mobile terminal (the first mobile terminal) cannot be connected to the internet, so that the corresponding food processor (the first food processor) cannot upload the operation state data and receive the optimization scheme of the processed recipe in real time, referring to fig. 2, this embodiment further provides a method for connecting the food processor to the cloud platform, which is applied to the food processor and can be executed before S11 of the first embodiment, and since the method of S11 and subsequent steps of this embodiment is similar to that of the first embodiment, details are not repeated here, and the method for connecting the food processor to the cloud platform includes S21 to S23, where:

and S21, when the first mobile terminal cannot be connected with the Internet, the corresponding first food processor sends an agent connection request to a second food processor in the same area.

In this embodiment, the food processors in the same area may be connected by using a local area network provided by a manufacturer, the same area of this embodiment is an area formed by connecting a plurality of food processors sharing the same local area network to each other, and the specific manner of connection is not limited in this embodiment.

The selection of the second food processor can be random selection, and as an optimal scheme rather than limitation, the determination mode of the second food processor can also be preferentially selected according to the activity of the corresponding user registered account and the network quality, so as to guarantee the networking efficiency and reliability.

And S22, the second food processor responds to the proxy connection request and sends a proxy networking request to the second mobile terminal corresponding to the second food processor.

As a specific solution, but not limited thereto, the App notification page of the second mobile terminal displays "food processor a (first food processor name) sends an auxiliary networking request to you for realizing the connection between the food processor a and the cloud platform, which does not reveal your personal information but consumes a small amount of traffic (when there is no WIFI), and requests to confirm whether to approve the request", and when the user chooses to approve, the process goes to step S23.

S23, after the second mobile terminal passes through the agent networking request, the first food processor is connected with the cloud platform sequentially through the second food processor and the second mobile terminal.

In one embodiment, to ensure that the above improvement scheme is successfully implemented and encourage the food processor user to perform mutual assistance, after S23, the method further includes:

and S24, executing reward operation corresponding to the user registration account of the second food processor according to the transmission time length or the data transmission quantity of the second mobile terminal and the first food processor.

The reward operation may be an unlocking operation of the VIP menu, an increasing operation of the point of the user, an operation of pushing a discount coupon to the user registration account, and the like, and the embodiment is not limited.

This embodiment is through according to second mobile terminal is long with the transmission of first cooking machine or data transmission volume, carries out the reward operation corresponding to the user registration account number of second cooking machine for cooking machine user in the same region has the higher enthusiasm of helping other people's cooking machine networking, has further ensured the real-time, high efficiency and the reliability of communication.

The third embodiment:

referring to fig. 3, an embodiment of the present invention discloses a food material processing control method based on the internet of things, including:

and S31, acquiring the food processers in the same position area, and determining a first set.

Unlike the same area of the previous embodiment, the same location area of the present embodiment is one or more blocks or cells with adjacent addresses, and generally has similar data of temperature, air pressure, humidity, altitude, and the like, and is powered by a common power company. The first set is the set of all food processors in the same position area.

And S32, acquiring the working environment parameters of each food processor in the first set within a period of time.

Similarly, the working environment parameters of the present embodiment may also be collected by one or more sensors inside the food processor, and the working environment parameters include, but are not limited to, data such as ambient temperature, altitude, barometric pressure, current, or voltage. Illustratively, the period of time for this step may be one week or one month.

And S33, screening the food processers with the same or similar working environment parameters from the first set to obtain a second set.

The working environment parameters of the food processors in the second set are the same or similar, so that the food processors in the second set are easy to have the same abnormal conditions of the running state data when processing the same menu, the food processors in the second set are classified and integrated, and the integrated food processors in the second set are beneficial to providing a more specific, targeted and personalized optimization scheme aiming at the abnormal data of different menus and corresponding running states.

And S34, generating an optimization scheme corresponding to each food processor in the second set according to the menu and the running state data of each food processor in the second set.

In this embodiment, for each processing recipe, the optimization scheme corresponding to each food processor in the second set may be determined according to the corresponding operating state data in each period of time, for example, the optimization scheme in the high-temperature weather state is different from the optimization scheme in the cold weather state, and the optimization scheme of this embodiment may be generated intelligently by a manufacturer or a cloud platform tracking the operating state data of the food processor in the second set in the last year or several years, so that the processing state parameters are not only continuously in the normal value range, but also used for further improving the quality and taste of the dish, and the dish is presented to meet the high-level requirements of the second set corresponding to the user individuation.

As a preferable solution, but not limited thereto, in step S34, specifically:

and acquiring the processing menu of each food processor in the second set, the actual power compensation parameter when the running state data is abnormal and the user feedback data, determining the power compensation parameter when the corresponding running state data of each processing menu is abnormal, and generating an optimization scheme.

The user feedback data in this step may include evaluation data and scoring data of the user, and the cloud platform subdivides and classifies the evaluation data and the scoring data in the same second set, so as to be used as a power compensation parameter for determining that the corresponding operating state data of each processing recipe is abnormal in the same time period, and generate an optimization scheme.

According to the scheme, the power compensation parameters corresponding to abnormal operation state data are determined according to different user feedback results and scores by acquiring the processing menu of each food processor in the second set, the actual power compensation parameters when the operation state data are abnormal and the user feedback data, wherein the power compensation parameters can be the same as the actual power compensation parameters of a certain high-score or good-score user, and can also be generated intelligently according to the actual power compensation parameters of a plurality of high-score or good-score users, and the intelligent generation mode comprises but is not limited to determination through a preset weighting formula. According to the embodiment, the determination mode of the optimization scheme is more suitable for the preference of the users of the material processing machines in the second set by combining the user feedback data, the working environment parameters of the corresponding region and the taste preference of the users are comprehensively considered, and the method is more intelligent and humanized.

And S35, acquiring the current processing menu and the operation state data of the food processor, wherein the operation state data comprises working environment parameters or processing state parameters.

S35 is the same as the corresponding step of the first embodiment, and is not described again here.

And S36, when the running state data of any food processor in the second set is abnormal, pushing a corresponding optimization scheme to the food processor.

In this step, when the optimization scheme that corresponds to the cooking machine propelling movement, the abnormal conditions to running state data carries out the analysis, and the judgement is that the operational environment parameter is unusual, or the processing state parameter is unusual, if only the processing state parameter is unusual, then judge that current cooking machine probably appears the state anomaly and need the maintenance, can send the unusual warning to the user mobile terminal APP that the cooking machine corresponds. If the working environment parameter is judged to be abnormal, step S37 is executed.

And S37, when the abnormal data are judged to be the working environment parameters, pushing the corresponding optimization schemes to other food processors in the second set for the user to confirm and select.

In general, in this step, before the other food processors in the second set perform processing of the specific recipe, the specific recipe is a recipe whose product effect is susceptible to the working environment parameters, as shown in fig. 4, S37 may specifically include S371-S373, where:

and S371, when the abnormal data is judged to be the working environment parameters, determining a menu list with high relevance with the working environment parameter abnormal data.

The menu list with higher relevance in the step is generally greatly influenced by corresponding working environment parameters, and menus such as dough kneading, dumpling wrappers, steamed stuffed buns, fried dishes and the like are greatly influenced by parameters of power grid voltage due to the fact that stirring functions are needed; the menus of yogurt making, leavening and the like are sensitive to temperature and are greatly influenced by the environmental temperature parameters. The manufacturer or the cloud platform performs correlation operation on the working environment parameters and the menu, so that when a certain working environment parameter is abnormal, the corresponding menu list can be quickly locked.

And S372, the cloud platform acquires the to-be-processed menus of other food processors in the second set, and compares and verifies the to-be-processed menus with the menu list.

Usually, the comparison and verification process is executed in response to the recipe processing confirmation operation of other users on other food processors in the second set.

And S373, when the menu to be processed is the menu in the menu list, pushing the corresponding optimization scheme to the food processor corresponding to the second set for the user to confirm and select.

Similarly, the optimization scheme can be set for the rotational speed of the processing portion of cooking machine, the heating power of the heating portion or the internal pressure of the cooking machine respectively during each process to further promote the quality of the product.

As a preferred embodiment, but not limited to, the step of pushing the corresponding optimization schemes to the other food processors in the second set for the user to confirm the selection may further include, as shown in fig. 5, S374-S376, where:

s374, obtaining the identifiers of the other food processors in the second set.

The identification of this step can be the only identification of cooking machine, such as the combination of the serial number of cooking machine, physical address or cooking machine model and network address, and this embodiment does not limit.

And S375, determining the user registration account corresponding to each food processor identity.

The cloud platform confirms a user registration account number bound with the identity in the background according to the identity of the food processor, and specifically, the user registration account number can be a login account number in a mobile terminal App corresponding to the food processor.

And S376, pushing the deployment suggestion of the optimization scheme to the corresponding user registration account through a background, wherein the deployment suggestion is displayed on an APP corresponding to the food processor in the user mobile terminal.

In general, the deployment suggestion includes a plurality of sets of optimization schemes, each optimization scheme may perform corresponding prompt annotation according to different effects, such as "soft and tender taste, crisp taste, high score evaluation, maximum collection" and the like, and the prompt annotation may be intelligently intercepted by user feedback data or generated by summarizing and inducing on a cloud platform, so as to facilitate selection by a user.

The above-mentioned S374-S376 obtain the identification of other food processors in the second set; determining a user registration account corresponding to each food processor identity; and pushing the deployment suggestion of the optimization scheme to the corresponding user registration account through a background, wherein the deployment suggestion is displayed on an APP corresponding to the food processor in the user mobile terminal. The cloud platform can push the optimization scheme of the corresponding menu to the user registration account through the APP of the mobile terminal when the abnormal working environment parameters in the region are detected through any food processor and the user selects the corresponding menu processing scheme, and the mobile terminal is usually carried about by the user, so that the user has high reliability and instantaneity on receiving the deployment suggestion. The user can carry out the selection to confirm the operation to one or more optimization schemes that push to APP, and the operation is simpler, more directly perceived and convenient.

The fourth embodiment:

referring to fig. 6, the present invention further provides an internet-of-things-based food processing control apparatus 100, including a first obtaining module 110, a second obtaining module 120, and a control module 130, wherein:

the first obtaining module 110 is connected to the second obtaining module 120, and is configured to obtain a current processing menu and running state data of the food processor, where the running state data includes working environment parameters or processing state parameters;

a second obtaining module 120, connected to the control module, for obtaining an optimization scheme having a high correlation with the current processing recipe and the operation state data when the operation state data is abnormal, where the optimization scheme at least includes power compensation parameters corresponding to each recipe and the operation state data;

and the control module 130 is configured to control the food processor to perform food material processing operation according to the optimization scheme, so that at least the processing state parameter is continuously within a normal numerical range.

The modules of this embodiment correspond to the steps of the first embodiment one-to-one, and are not described here.

According to the embodiment of the invention, the operation state data of the food processor is monitored in real time when the food processor processes a certain menu, and when the working environment parameter or the processing state parameter data are abnormal, an optimization scheme with high relevance to the currently processed menu and the operation state data is obtained, wherein the optimization scheme at least comprises power compensation parameters corresponding to each menu and the operation state data; and controlling the food processing machine to process food according to the optimization scheme so as to at least enable the processing state parameters to be continuously in a normal numerical range. On one hand, the running state data can be related to the standard working parameters of the food processor, such as nominal voltage and current, and on the other hand, the running state data can also be related to the requirements of the current processed menu, such as temperature, humidity, stirring frequency and force. The normal numerical range of the data of the running state is determined through the standard working parameters of the food processor and the currently processed menu, so that the normal working requirement of the food processor can be met, the service life of the food processor is ensured, the corresponding normal numerical range can be set according to different menus, the stability of the product output effect of the food processor is improved, and the compatibility and the adaptability of the food processor to the personalized menu are improved. Meanwhile, when the state of the food processor is reduced, positive/negative compensation can be carried out on indexes such as the rotating speed, the pressure or the heating power of the food processor by providing the optimal power compensation parameter, and the quality of the food can be effectively guaranteed.

It will be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.

An embodiment of the present invention further provides a computer storage medium, on which a computer program is stored, where the program, when executed by a processor, implements a method for controlling processing of food materials based on the internet of things according to the foregoing embodiments.

Those skilled in the art will appreciate that all or part of the processes of the methods of the embodiments described above can be implemented by instructing relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium, and when executed, the computer program can include the processes of the embodiments of the internet of things-based food processing control method described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention or portions thereof that contribute to the related art may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a terminal, or a network device) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a RAM, a ROM, a magnetic or optical disk, or various other media that can store program code.

Corresponding to the computer storage medium, in one embodiment, a computer device is further provided, and the computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where when the processor executes the program, the method for controlling food processing based on the internet of things as in the foregoing embodiments is implemented.

The computer device may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device comprises a processor, a memory, a network interface, a display screen and an input device which are connected through a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize the food material processing control method based on the Internet of things. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A food material processing control method based on the Internet of things is used for controlling a food processor through a cloud platform and is characterized by comprising the following steps:

2. The method of claim 1, wherein before the step of obtaining the current processing recipe and the operation state data of the food processor, the operation state data including the working environment parameter or the processing state parameter, the method further comprises:

when the operation state data is abnormal, an optimization scheme with high relevance to the current processing menu and the operation state data is obtained from the cloud platform, the optimization scheme at least comprises a step of power compensation parameters corresponding to each menu and the operation state data, and the method comprises the following steps of:

and when the abnormal data are judged to be the working environment parameters, pushing the corresponding optimization schemes to other food processors in the second set for the user to confirm and select.

3. The method of claim 2, wherein the step of generating the optimization scheme corresponding to each food processor in the second set according to the recipe and the operating state data of each food processor in the second set comprises:

4. The method of claim 3, wherein the step of pushing the corresponding optimization scheme to the other food processors in the second set for user confirmation of selection comprises:

acquiring the identity of other food processors in the second set;

5. The method of claim 1, wherein the food processor is configured with a network module for communicating with a mobile terminal, and the cloud platform obtains the current processing recipe and running state data of the food processor through the mobile terminal, and controls the food processor to perform food processing operation according to the optimization scheme through the mobile terminal.

6. The method of claim 5, further comprising a method of interfacing the food processor with a cloud platform, the method comprising:

the second food processor responds to the agent connection request and sends an agent networking request to a second mobile terminal corresponding to the second food processor;

7. The method of claim 6, wherein after the step of the first processor connecting to the cloud platform sequentially via the second processor and the second mobile terminal after the second mobile terminal requests via the proxy networking, the method further comprises:

8. The utility model provides an eat material processing controlling means based on thing networking which characterized in that includes:

a second obtaining module, configured to obtain, when the operating state data is abnormal, an optimization scheme having a high correlation with the current processing recipe and the operating state data, where the optimization scheme at least includes power compensation parameters corresponding to each recipe and the operating state data;

9. A computer device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor when executing the computer program implements a method for controlling processing of food materials based on internet of things as claimed in any one of claims 1 to 7.

10. A computer storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements a method for controlling processing of an internet of things based food material according to any one of claims 1 to 7.