Dough kneading apparatus and control method thereof, electronic device, and computer-readable storage medium

Abstract

The application provides a dough mixing device and a control method thereof, an electronic device and a computer readable storage medium. The control method of the dough mixing device comprises: receiving a trigger operation by using an interaction device; obtaining preset parameter information of a dough to be processed in response to the trigger operation; obtaining state detection information by using a state sensor, the state detection information comprising one or more of a powder feeding speed, a powder weight to be fed, and a powder weight already fed; obtaining a sterilization strategy based on the state detection information and the preset parameter information; controlling a sterilization device to execute the sterilization strategy to sterilize powder entering a dough mixing chamber; and when the sterilization device finishes executing the sterilization strategy, controlling a driving device to stir the powder and liquid in the dough mixing chamber to obtain the dough to be processed. The sterilization strategy obtained based on the preset parameter information and the state detection information plays an important role in ensuring food safety for consumers.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of food production, artificial intelligence and deep learning, in particular to a dough mixing device and a control method thereof, an electronic device and a computer readable storage medium. BACKGROUND

[0002] Dough mixing is to uniformly mix powder (such as wheat flour) with an appropriate amount of liquid (such as a mixture of water, yeast and milk) under stirring to obtain dough. The dough mixing device is a machine that uses a driving device to stir the powder and liquid. Compared with the traditional manual dough mixing operation, the dough mixing device is simple and can save a lot of time and physical effort.

[0003] With the improvement of living standards, consumers have higher requirements for food safety. However, in the technical field of food production, there is no solution to disinfect the powder for different (dough) production products in the dough mixing device.

[0004] Therefore, the present application provides a dough mixing device and a control method thereof, an electronic device and a computer readable storage medium to improve the prior art. SUMMARY

[0005] The purpose of the present application is to provide a dough mixing device and a control method thereof, an electronic device and a computer readable storage medium, to obtain a disinfection strategy according to preset parameter information and state detection information, to disinfect the powder entering the dough mixing chamber, to provide a solution for powder disinfection in a dough mixing device, and to play an important role in protecting the food safety of consumers.

[0006] The purpose of the present application is achieved by adopting the following technical solutions:

[0007] In a first aspect, the present application provides a control method of a dough mixing device, wherein the dough mixing device comprises:

[0008] a dough mixing device body, wherein the dough mixing device body comprises a dough mixing chamber;

[0009] an interaction device, wherein the interaction device is arranged outside the dough mixing device;

[0010] a state sensor, wherein the state sensor is at least partially arranged in the dough mixing device body;

[0011] a disinfection device, wherein the disinfection device is connected to the dough mixing chamber through a pipeline;

[0012] a driving device, wherein at least part of the driving device is arranged in the dough mixing device body;

[0013] The method comprises:

[0014] receiving a trigger operation by the interaction device;

[0015] In response to the trigger operation, preset parameter information of the dough to be processed is acquired, the preset parameter information including one or more of preset flour type information, preset flour weight information, preset dough type information, and preset dough weight information;

[0016] State detection information is acquired by using a state sensor, the state detection information including one or more of flour feeding speed, flour weight to be fed, and flour weight already fed;

[0017] Based on the state detection information and the preset parameter information, a sterilization strategy is acquired, the sterilization strategy including at least one sterilization duration and a sterilization dose corresponding to the sterilization duration;

[0018] The sterilization device is controlled to execute the sterilization strategy to sterilize the flour entering the dough mixing chamber;

[0019] When the sterilization device finishes executing the sterilization strategy, the driving device is controlled to stir the flour and the liquid material in the dough mixing chamber to obtain the dough to be processed.

[0020] The technical scheme has the beneficial effects that: the sterilization strategy is acquired according to the preset parameter information and the state detection information, and the flour entering the dough mixing chamber is sterilized, on the one hand, the flour sterilization step needs to be sterilized by high temperature and the like before entering the dough mixer, but the flour may be secondarily contaminated in the process of entering the dough mixer. The control method of the dough mixing equipment avoids the secondary contamination after the flour sterilization step, better guarantees the food safety of consumers. On the other hand, the sterilization strategy does not need to be manually set for each dough mixing process, but only needs to acquire the preset parameter information and the state detection information to sterilize the flour and meet the needs of customers for sterilizing the dough to be processed before processing, which can reduce the production cost of enterprises and is conducive to industrialization and popularization. On the other hand, after the sterilization strategy is executed, the driving device stirs the flour and the liquid material in the dough mixing chamber, avoiding that the sterilization effect of the sterilization device on the flour is affected by the liquid material. On the other hand, the sterilization strategy is acquired based on the state detection information and the preset parameter information, including at least one sterilization duration and a sterilization dose corresponding to the state detection information and the preset parameter information, which has a high intelligent level compared with manually setting the sterilization duration and the sterilization dose according to experience.

[0021] In summary, the control method of the dough mixing equipment provided by the application better guarantees the food safety of consumers, can reduce the production cost of enterprises, has a better sterilization effect, and has a higher intelligent level.

[0022] In some alternative embodiments, the control of the driving device to stir the powder and liquid in the dough mixing chamber when the disinfection device finishes executing the disinfection strategy comprises:

[0023] acquiring a correspondence between the preset parameter information and a target dough mixing strategy when the disinfection device finishes executing the disinfection strategy;

[0024] determining the target dough mixing strategy corresponding to the dough to be processed based on the preset parameter information and the correspondence and sending the target dough mixing strategy to the driving device, so that the driving device stirs the powder and liquid in the dough mixing chamber according to the target dough mixing strategy; the target dough mixing strategy comprises at least one dough mixing time and a stirring speed corresponding to the dough mixing time.

[0025] The technical scheme has the beneficial effects that the correspondence between the preset parameter information and the target dough mixing strategy is acquired, and the target dough mixing strategy is obtained based on the correspondence and the preset parameter information. The process of obtaining the target dough mixing strategy consumes less computing resources and takes less computing time, and has high computing efficiency.

[0026] In some alternative embodiments, the determination of the target dough mixing strategy corresponding to the dough to be processed based on the preset parameter information and the correspondence and the sending of the target dough mixing strategy to the driving device comprise:

[0027] verifying the target dough mixing strategy;

[0028] controlling the dough mixing device to stir the powder and liquid in the dough mixing chamber based on the target dough mixing strategy when the verification is successful;

[0029] sending first prompt information to a user device and / or displaying the first prompt information by using the interaction device when the verification fails.

[0030] The technical scheme has the beneficial effects that the selected target dough mixing strategy is verified before the powder and liquid are mixed. On the one hand, the accuracy of the dough mixing device in producing dough can be improved by avoiding the use of an incorrect target dough mixing strategy for stirring the powder and liquid. On the other hand, the production state of the dough mixing device can be timely controlled by the user (manager) by sending the first prompt information to the user device when the verification fails, so that the production is not stalled due to the failure of the verification of the target dough mixing strategy. In addition, the first prompt information can be displayed on site by using the interaction device, so that the user (production personnel) can timely adjust the production according to the first prompt information.

[0031] In some alternative embodiments, the process of verifying the target dough mixing strategy comprises:

[0032] acquire actual parameter information, the actual parameter information including one or more of actual flour type information, actual flour weight information, actual dough type information, and actual dough weight information;

[0033] input the actual parameter information into a strategy generation model to obtain a predicted dough mixing strategy of the dough mixing device;

[0034] calculate a strategy similarity between the predicted dough mixing strategy and the target dough mixing strategy;

[0035] when the strategy similarity is not less than a similarity threshold, determine that a result of verifying the target dough mixing strategy is verification success;

[0036] when the strategy similarity is less than the similarity threshold, determine that the result of verifying the target dough mixing strategy is verification failure.

[0037] The technical scheme has the beneficial effects that the predicted dough mixing strategy is obtained by using the actual parameter information, and the strategy similarity is obtained according to the predicted dough mixing strategy and the (specified) target dough mixing strategy. The strategy similarity can be used to reflect the deviation degree between the specified target dough mixing strategy and the predicted dough mixing strategy. When the similarity is relatively high, the dough mixing is performed according to the specified target dough mixing strategy. When the similarity does not meet the requirement, it is determined that the verification result is verification failure. On the one hand, considering that the driving device of the dough mixing device in the food production technical field has higher working efficiency under several fixed parameters (for example, rotation speed), the advantage of using the target dough mixing strategy as the actual strategy is that it can improve the stability and reliability of the dough mixing device. It can be understood that the target dough mixing strategy has been fully tested and adjusted, and can ensure ideal dough mixing effect in most cases. On the other hand, if the strategy similarity between the target dough mixing strategy and the predicted dough mixing strategy is relatively high, it indicates that the target dough mixing strategy is suitable for the current dough mixing scene. The above method can reduce human intervention in the production process, thereby improving the consistency and stability of each dough to be processed.

[0038] In some optional embodiments, the preset parameter information further includes a preset negative pressure range;

[0039] when the disinfection device completes the disinfection strategy, the driving device is controlled to stir the flour and the liquid material in the dough mixing chamber, including:

[0040] when the disinfection device completes the disinfection strategy, an actual negative pressure of the dough mixing chamber is obtained by using a vacuum sensor;

[0041] when the actual negative pressure is higher than a maximum value of the preset negative pressure range, the negative pressure device is controlled to operate so that the negative pressure of the dough mixing chamber is kept within the preset negative pressure range;

[0042] when the actual negative pressure is lower than the minimum value of the preset negative pressure range, controlling the vacuum negative pressure safety valve to open, and / or sending second prompt information to a user device;

[0043] when the actual negative pressure is within the preset vacuum range, controlling the driving device to stir the powder and liquid materials in the dough chamber.

[0044] The technical scheme has the beneficial effects that the preset negative pressure range is compared with the actual negative pressure, and only when the actual negative pressure is within the preset negative pressure range, the driving device is controlled to stir the powder and liquid materials, so that the safety factor is high. In addition, the related powder sterilization step can also perform pre-sterilization on the powder before entering the dough machine in the form of ozone and the like, but in order to avoid damage to the surrounding people or objects caused by sterilization, a container needs to be added for the above pre-sterilization. The sterilization step of the present scheme is performed in the negative pressure environment of the dough equipment (dough chamber), so that the safety factor is high, and the above-mentioned container is saved, and the space occupation and production investment of the production workshop are saved.

[0045] In some optional embodiments, the sterilization device includes an ozone sterilization device, and the method further includes:

[0046] obtaining safety information of the dough equipment by using an ozone detection device, the safety information being used to indicate whether the dough chamber has ozone leakage or not;

[0047] when the safety information indicates that there is ozone leakage, controlling the ozone sterilization device to be closed and controlling a ventilation device to ventilate the working space of the dough equipment, and / or controlling the ozone sterilization device to be closed and sending third prompt information to a user device.

[0048] The technical scheme has the beneficial effects that on the one hand, ozone has strong oxidation effect, and when it contacts with pollutants in the air, it will be quickly decomposed and changed into harmless substances. Operating in the ozone environment can effectively kill bacteria, viruses and other microorganisms, and can provide consumers with healthier and safer food products. On the other hand, ozone can also improve the quality of raw materials and improve the quality of products, because ozone has the effects of removing odor, increasing fragrance, bleaching and the like, and after the ozone treatment, the food (steamed buns, bread, noodles and the like) made of the processed dough will have significant improvement in color and fragrance.

[0049] In a second aspect, the present application also provides an electronic device, which includes a memory and a processor, the memory stores a computer program, and the processor is configured to implement the following steps when executing the computer program:

[0050] receiving a trigger operation by using an interaction device;

[0051] In response to the trigger operation, preset parameter information of the dough to be processed is acquired, the preset parameter information including one or more of preset flour type information, preset flour weight information, preset dough type information, and preset dough weight information;

[0052] State detection information is acquired by using a state sensor, the state detection information including one or more of flour feeding speed, flour weight to be fed, and flour weight already fed;

[0053] Based on the state detection information and the preset parameter information, a sterilization strategy is acquired, the sterilization strategy including at least one sterilization duration and a sterilization dose corresponding to the sterilization duration;

[0054] The sterilization device is controlled to execute the sterilization strategy to sterilize the flour entering the dough mixing chamber;

[0055] When the sterilization device finishes executing the sterilization strategy, the driving device is controlled to stir the flour and the liquid material in the dough mixing chamber to obtain the dough to be processed.

[0056] In a third aspect, the present application further provides a dough mixing device, which includes the electronic device of the second aspect, and further includes:

[0057] A dough mixing device main body, which includes a dough mixing chamber for accommodating flour used for dough mixing;

[0058] An interaction device, which is used to receive a trigger operation to acquire preset parameter information of the dough to be processed, the preset parameter information including one or more of flour type information, flour weight information, and dough type information;

[0059] A state sensor, which is used to acquire state detection information, the state detection information including one or more of flour feeding speed, flour weight to be fed, and flour weight already fed;

[0060] A sterilization device, which is used to execute a sterilization strategy to sterilize the flour;

[0061] A driving device, which is used to stir the flour after sterilization.

[0062] In some optional embodiments, the dough mixing device further includes:

[0063] A vacuum sensor, which is used to acquire actual negative pressure of the dough mixing chamber;

[0064] A negative pressure device, which is used to keep the negative pressure of the dough mixing chamber within a preset negative pressure range;

[0065] An ozone detection device for obtaining safety information of a dough mixing device, the safety information indicating whether there is an ozone leakage in the dough mixing chamber.

[0066] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of any of the above methods. BRIEF DESCRIPTION OF DRAWINGS

[0067] The present application is further illustrated below in conjunction with the accompanying drawings and embodiments.

[0068] Figure 1 A flowchart of a control method of a dough mixing device is shown.

[0069] Figure 2 A structural diagram of a dough mixing device is shown.

[0070] Figure 3 A flowchart of controlling the stirring of a driving device is shown.

[0071] Figure 4 A flowchart of determining a target dough mixing strategy is shown.

[0072] Figure 5 A flowchart of verifying a target dough mixing strategy is shown.

[0073] Figure 6 A flowchart of controlling the stirring of a driving device is shown.

[0074] Figure 7 A flowchart of a control method of a dough mixing device is shown.

[0075] Figure 8 A structural diagram of an electronic device is shown.

[0076] Figure 9 A structural diagram of another dough mixing device is shown.

[0077] Figure 10 A structural diagram of yet another dough mixing device is shown.

[0078] Figure 11 A structural block diagram of a program product is shown. DETAILED DESCRIPTION

[0079] With reference to the drawings and embodiments of the present application, the technical solutions in the embodiments of the present application will be described.

[0080] It should be noted that, under the condition of not conflicting, the embodiments described below or the technical features between each other can be combined to form new embodiments.

[0081] In the present application, the words such as "exemplary" or "for example" are used to mean serving as an example, illustration, or description. Any embodiment or design solution described as "exemplary" or "for example" in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design solutions. Rather, the words such as "exemplary" or "for example" are used in the sense of presenting related concepts in a specific manner.

[0082] The first, second, and the like in the embodiments of the present application are only for illustration and distinction of the description objects, and there is no order difference, nor does it represent a special limitation on the number of devices in the embodiments of the present application, and cannot constitute any limitation on the embodiments of the present application.

[0083] Method embodiments

[0084] Reference Figure 1 and Figure 2 , Figure 1 A flowchart of a control method of a dough mixing device provided by the present application is shown, Figure 2 A structural diagram of a dough mixing device provided by the present application is shown.

[0085] The dough mixing device comprises:

[0086] A dough mixing device body 20, comprising a dough mixing chamber 21;

[0087] An interactive device 60, which is arranged outside the dough mixing device;

[0088] A state sensor 30, which is at least partially arranged in the dough mixing device body 20;

[0089] A disinfection device 40, which is connected to the dough mixing chamber 21 through a pipeline;

[0090] A driving device 50, at least part of which is arranged in the dough mixing device body 20;

[0091] The method comprises steps S101-S106.

[0092] Step S101, receiving a trigger operation by the interactive device 60.

[0093] In step S102, in response to the trigger operation, preset parameter information of the dough to be processed is acquired. The preset parameter information includes one or more of preset flour type information, preset flour weight information, preset dough type information, and preset dough weight information.

[0094] In step S103, state detection information is acquired by using the state sensor 30. The state detection information includes one or more of flour feeding speed, flour weight to be fed, and flour weight already fed.

[0095] In step S104, a sterilization strategy is acquired based on the state detection information and the preset parameter information. The sterilization strategy includes at least one sterilization duration and a sterilization dose corresponding to the sterilization duration.

[0096] In step S105, the sterilization device 40 is controlled to execute the sterilization strategy to sterilize the flour entering the dough mixing chamber 21.

[0097] In step S106, when the sterilization device 40 finishes executing the sterilization strategy, the driving device 50 is controlled to stir the flour and the liquid material in the dough mixing chamber 21 to obtain the dough to be processed.

[0098] Thus, the sterilization strategy is acquired based on the preset parameter information and the state detection information to sterilize the flour entering the dough mixing chamber 21. On the one hand, the flour sterilization step needs to be performed by high temperature or the like before the flour enters the dough mixer, but the flour may be contaminated again during the process of entering the dough mixer. The control method of the dough mixing equipment avoids the secondary contamination after the relevant flour sterilization step, and better guarantees the food safety of consumers. On the other hand, the sterilization strategy does not need to be set manually for each dough mixing process. The sterilization of the flour can be realized only by acquiring the preset parameter information and the state detection information to meet the needs of customers for sterilization of the dough to be processed before processing, which can reduce the production cost of enterprises and is conducive to industrialization promotion. On the other hand, after the sterilization strategy is executed, the driving device 50 stirs the flour and the liquid material in the dough mixing chamber 21 to avoid the sterilization effect of the flour by the sterilization device 40. On the other hand, the sterilization strategy is acquired based on the state detection information and the preset parameter information, which includes at least one sterilization duration and a sterilization dose corresponding to the state detection information and the preset parameter information. Compared with the sterilization duration and the sterilization dose set by the operator according to experience, the intelligent level is higher.

[0099] In summary, the control method of the dough mixing equipment provided by the present application better guarantees the food safety of consumers, can reduce the production cost of enterprises, has better sterilization effect, and has higher intelligent level.

[0100] The disinfection mentioned in the embodiments of the present application can refer to killing or reducing the number of microorganisms. That is, the powder disinfection includes sterilization of the powder, killing microorganisms in the powder, including viruses, bacteria, fungi, spores, viruses, and the like.

[0101] The triggering operation is not limited in the embodiments of the present application, which can include, for example, single click, double click, hand touch, voice triggering, and the like.

[0102] The interactive device 60 for receiving the triggering operation is not limited in the present application, which can include, for example, a touch display screen, a tablet computer, a notebook computer, a desktop computer, a workstation, or a console of a production workshop, and the like.

[0103] The preset parameter information includes preset powder type information, preset powder weight information, preset dough type information, and preset dough weight information. The preset powder type information is, for example, super high-gluten flour, high-gluten flour, medium-gluten flour, millet flour, or sorghum wheat mixed flour, and the like. The preset powder weight information is, for example, 50 kg, 150 kg, 220 kg, or 250 kg, and the like. The preset dough type information is, for example, dry dough, wet dough, semi-dry dough, semi-dry dough for diabetics, bread dough, dumpling dough, pizza dough, or noodle dough, and the like. The preset dough weight information is, for example, 50 kg, 150 kg, 220 kg, or 250 kg, and the like.

[0104] The state sensor 30 is not limited in the present application, which is, for example, a weighing sensor or a level sensor. The state sensor 30 is at least partially arranged in the dough-making device main body 20, and it can be understood that a probe part of the state sensor 30 is arranged in the dough-making chamber 21. The state detection information is obtained by using the state sensor 30, and the state detection information includes powder feeding speed, powder weight to be fed, and powder weight that has been fed. The powder feeding speed is, for example, 50 kg / min, 75 kg / min, 100 kg / min, or 110 kg / min, and the like. The powder weight to be fed is, for example, 50 kg, 150 kg, 220 kg, or 250 kg, and the like. The powder weight that has been fed is, for example, 10 kg, 20 kg, 80 kg, or 100 kg, and the like.

[0105] The disinfection device 40 is, for example, an ozone disinfection device or an ultraviolet disinfection device. When the disinfection device 40 is an ozone disinfection device, the disinfection strategy is, for example, first disinfection with an ozone concentration (disinfection dose) of 40 mg / L for 3 minutes, and then disinfection with an ozone concentration (disinfection dose) of 55 mg / L for 5 minutes. Obviously, by using the ozone disinfection device or the ultraviolet disinfection device, the microorganisms can be killed, and the sterilization effect can be achieved.

[0106] When the disinfection device 40 is a UV disinfection device, the disinfection strategy is, for example, first disinfection with a UV dose (disinfection dose) of 10.0 mJ / cm2for 4 minutes in length, and then disinfection with a UV dose (disinfection dose) of 20.0 mJ / cm2for 5 minutes in length.

[0107] The application does not limit the driving device 50, which may, for example, include a motor, a speed reducer, a stirring shaft, and connecting components between the motor and the speed reducer and between the speed reducer and the stirring shaft, the stirring shaft including stirring paddles for stirring powder and liquid materials. The driving device 50 may also include a frequency converter, a motor, a stirring shaft, and connecting components between the frequency converter and the motor and between the motor and the stirring shaft, the stirring shaft including stirring paddles for stirring powder and liquid materials.

[0108] The dough to be processed is the dough desired by the user after the dough processing device processes the dough, such as dough to be processed for making bread, dough to be processed for making dry noodles, and dough to be processed for making wet noodles. The dough to be processed is formed by stirring powder and liquid, such as a mixture of water, yeast, and milk, or a mixture of water, egg liquid, and yeast.

[0109] The disinfection device 40 performs a disinfection strategy on the powder entering the dough mixing chamber 21. It can be understood that the dough mixing device main body 20 is provided with a feeding port, and the powder is transported into the dough mixing chamber 21 through the feeding port. The disinfection device 40 can disinfect the powder during the transportation process from the feeding port or after the powder falls into the dough mixing chamber 21. Generally, the disinfection effect of the powder during the transportation process from the feeding port is better than that of the powder after falling into the dough mixing chamber 21 due to the high bulkiness of the powder.

[0110] The disinfection strategy (i.e., step S104) can be obtained based on the state detection information and the preset parameter information, which can include inputting the state detection information and the preset parameter information into a disinfection strategy model to obtain the current disinfection strategy of the dough mixing device.

[0111] In one embodiment, the training process of the disinfection strategy model includes:

[0112] A third training set is obtained, and the third training set includes a plurality of third training data. Each third training data includes sample state detection information, sample preset parameter information, and labeled data of a disinfection strategy corresponding to the sample state detection information and the sample preset parameter information.

[0113] For the sample state detection information and the sample preset parameter information of each third training data in the third training set, the following processing is performed:

[0114] Input the sample state detection information and sample preset parameter information in the third training data into a preset third deep learning model to obtain prediction data of a disinfection strategy corresponding to the sample state detection information and the sample preset parameter information;

[0115] Update model parameters of the third deep learning model based on the prediction data of the disinfection strategy corresponding to the sample state detection information and the sample preset parameter information and the labeled data;

[0116] Detect whether a preset third training end condition is met; if yes, the trained third deep learning model is used as the disinfection strategy model; if no, the third deep learning model is continuously trained using next third training data.

[0117] The application does not limit the acquisition method of the labeled data of the disinfection strategy, for example, an artificial labeling method can be used, or an automatic labeling or semi-automatic labeling method can be used.

[0118] The application does not limit the training process of the disinfection strategy model, for example, a supervised learning training method can be used, or a semi-supervised learning training method can be used, or an unsupervised learning training method can be used.

[0119] The application does not limit the preset third training end condition, for example, the training number can reach a preset number (the preset number is, for example, 1, 3, 10, 100, 1000, 10000, etc.), or the third training data in the third training set can be trained once or more times, or the total loss value obtained by this training can be less than a preset loss value.

[0120] Referring to Figure 3 , Figure 3 A flowchart for controlling the stirring of the driving device 50 is shown.

[0121] In one embodiment, the step S106 can include steps S201-S202.

[0122] Step S201, when the disinfection device 40 executes the disinfection strategy, the corresponding relationship between the preset parameter information and the target dough-making strategy is obtained.

[0123] Step S202, based on the preset parameter information and the corresponding relationship, the target dough-making strategy corresponding to the dough to be processed is determined and sent to the driving device 50, so that the driving device 50 stirs the powder and liquid materials in the dough-making chamber 21 according to the target dough-making strategy. The target dough-making strategy includes at least one dough-making time and a stirring speed corresponding to the dough-making time.

[0124] Thus, the correspondence between the preset parameter information and the target and face strategy is obtained, and the target and face strategy is obtained by using the correspondence and the preset parameter information. The target and face strategy is obtained by consuming less computing resources and consuming less computing time, and the computing efficiency is high.

[0125] Generally, the correspondence between the preset parameter information and the target and face strategy can include a corresponding relationship (one-to-one or many-to-one), and the target and face strategy can include a plurality of (before step S101) pre-set strategies (each strategy is at least one and face time and the corresponding stirring speed of the and face time). For example, the target and face strategy corresponding to the preset parameter information of 50kg of super high gluten flour is [30rpm stirring speed for 10 minutes, and then 45rpm stirring speed for 15 minutes], and the target and face strategy corresponding to the preset parameter information of 150kg of super high gluten flour is [25rpm stirring speed for 20 minutes, and then 50rpm stirring speed for 45 minutes].

[0126] The embodiment of the present application does not limit the target and face strategy, and the target and face strategy is, for example, [30rpm stirring speed for 10 minutes, and then 45rpm stirring speed for 15 minutes], [30rpm stirring speed for 15 minutes].

[0127] Referring to Figure 4 , Figure 4 A flowchart for determining a target and face strategy provided by the present application is shown.

[0128] In one embodiment, step S202 can include steps S301-S303.

[0129] Step S301, the target and face strategy is verified.

[0130] Step S302, when the verification is successful, the powder and liquid material in the and face chamber 21 are stirred based on the target and face strategy.

[0131] Step S303, when the verification fails, the first prompt information is sent to the user equipment, and / or the first prompt information is displayed by using the interaction device 60.

[0132] Thus, before the handover of the flour and the liquid, the selected target and the surface strategy are checked. On the one hand, the incorrect target and the surface strategy can be avoided to be used for the mixing of the flour and the liquid, and the accuracy of the dough prepared by the surface equipment is improved. On the other hand, when the checking fails, the first prompt information is sent to the user equipment, so that the user (usually the manager) can timely control the production state of the surface equipment, and the production stagnation caused by the failure of the target and the surface strategy checking is avoided. On the other hand, the first prompt information is displayed on the interactive device 60 on site, so that the user (usually the production worker) can timely adjust the production according to the first prompt information.

[0133] The first prompt information is not limited in the embodiment of the present application, which is, for example, prompt information in the form of text, image, video or voice. For example, the text is “the current target and surface strategy fails to pass the checking”, or the prompt image for prompting the target and surface strategy fails to pass the checking is set in advance.

[0134] Referring to Figure 5 , Figure 5 A flowchart for checking the target and surface strategy provided by the present application is shown.

[0135] In one embodiment, in step S301, the process of checking the target and surface strategy includes steps S401-S405.

[0136] Step S401, the actual parameter information is obtained. The actual parameter information includes one or more of actual flour type information, actual flour weight information, actual dough type information and actual dough weight information.

[0137] Step S402, the actual parameter information is input into the strategy generation model to obtain the predicted surface strategy of the surface equipment.

[0138] Step S403, the strategy similarity between the predicted surface strategy and the target surface strategy is calculated.

[0139] Step S404, when the strategy similarity is not less than the similarity threshold, it is determined that the checking result of the target and surface strategy is checking success.

[0140] Step S405, when the strategy similarity is less than the similarity threshold, it is determined that the checking result of the target and surface strategy is checking failure.

[0141] Thus, the prediction and mixing strategy is obtained by using the actual parameter information, and the strategy similarity is obtained according to the prediction and mixing strategy and the (specified) target and mixing strategy, the strategy similarity can be used to reflect the deviation between the specified target and mixing strategy and the prediction and mixing strategy, when the similarity is relatively high, the and mixing is performed according to the specified target and mixing strategy; when the similarity is not up to the standard, it is determined that the verification result is a verification failure. On the one hand, considering that the driving device 50 of the and mixing equipment in the food production technical field has higher working efficiency under several fixed parameters (for example, the rotating speed), the advantage of taking the target and mixing strategy as the actual strategy lies in that it can improve the stability and reliability of the and mixing equipment. It can be understood that the target and mixing strategy has been fully tested and adjusted, and can guarantee ideal and mixing effect in most cases. On the other hand, if the strategy similarity between the target and mixing strategy and the prediction and mixing strategy is relatively high, it indicates that the target and mixing strategy is suitable for the current and mixing scene, and the above method can reduce human intervention in the production process, thereby improving the consistency and stability of each dough to be processed.

[0142] The actual parameter information is not limited in the embodiments of the present application. The actual flour type information is, for example, super strong flour, strong flour, medium strong flour, millet flour or sorghum wheat mixed flour, etc. The actual flour weight information is, for example, 50 kg, 150 kg, 220 kg or 250 kg, etc. The actual dough type information is, for example, bread dough, dumpling dough, pizza dough or noodle dough, etc. The actual dough weight information is, for example, 50 kg, 150 kg, 220 kg or 250 kg, etc. In a specific application, the actual parameter information is also, for example, actual negative pressure information, which is, for example, 0.01 Mpa, 0.02 Mpa or 0.021 Mpa.

[0143] The prediction and mixing strategy is not limited in the embodiments of the present application. The target and mixing strategy is, for example, [stirring at a stirring speed of 28.5 revolutions per minute for 7 minutes, and then stirring at a stirring speed of 44 revolutions per minute for 15 minutes], [stirring at a stirring speed of 31 revolutions per minute for 18 minutes].

[0144] In an embodiment, the training process of the strategy generation model comprises:

[0145] A first training set is obtained, the first training set comprises a plurality of first training data, each first training data comprises a sample parameter information and label data of a and mixing strategy corresponding to the sample parameter information;

[0146] For each first training data in the first training set, the following processing is performed:

[0147] The sample parameter information in the first training data is input into a preset first deep learning model to obtain prediction data of the and mixing strategy corresponding to the sample parameter information.

[0148] updating the model parameters of the first deep learning model based on the prediction data and the labeled data corresponding to the face strategy of the sample parameter information;

[0149] detecting whether a preset first training end condition is met; if yes, the trained first deep learning model is taken as the strategy generation model; if no, the first deep learning model is continuously trained using the next first training data.

[0150] Thus, the essence of deep learning is to learn more useful features through constructing a machine learning model with many hidden layers and a large amount of first training data, thereby improving the accuracy of classification or prediction. By designing an appropriate number of neuron calculation nodes and a multi-layer operation hierarchy structure, selecting a suitable input layer and output layer, and establishing a function relationship from input to output through network learning and optimization, although the function relationship between input and output cannot be found 100%, the real correlation can be approximated as much as possible. The strategy generation model trained in this way can obtain the corresponding prediction and face strategy based on actual parameter information, and the calculation result has high accuracy and high reliability.

[0151] In some embodiments, each sample parameter information is actually measured or generated by using a generation network of a GAN model. The GAN model, i.e., a generative adversarial network, is composed of a generation network and a discrimination network. The generation network randomly samples from a latent space as input, and the output result needs to imitate the real samples in the training set as much as possible. The input of the discrimination network is the real sample or the output of the generation network, and the purpose is to distinguish the output of the generation network from the real sample as much as possible. The generation network tries to deceive the discrimination network as much as possible. The two networks are in mutual opposition and continuously adjust the parameters, and the ultimate goal is to make the discrimination network unable to judge whether the output result of the generation network is real. Using the GAN model can generate multiple sample parameter information for the training process of the strategy generation model, which can effectively reduce the amount of original data collection and greatly reduce the cost of data collection and labeling.

[0152] The application does not limit the acquisition method of the labeled data of the face strategy, for example, manual labeling can be used, or automatic labeling or semi-automatic labeling can be used.

[0153] The application does not limit the training process of the strategy generation model, which can use the above-mentioned supervised learning training method, or can use semi-supervised learning training method, or can use unsupervised learning training method.

[0154] The application does not limit the preset first training end condition, which may be, for example, that the number of training reaches a preset number (the preset number may be, for example, 1, 3, 10, 100, 1000, 10000, etc.), or that all the first training data in the first training set complete one or more training, or that the total loss value obtained by this training is not greater than a preset loss value.

[0155] In one embodiment, the calculation of the strategy similarity between the predicted and-face strategy and the target and-face strategy may include: inputting the predicted and-face strategy and the target and-face strategy into a similarity model to obtain the strategy similarity between the predicted and-face strategy and the target and-face strategy.

[0156] In one embodiment, the training process of the similarity model may include:

[0157] obtaining a second training set, the second training set including a plurality of second training data, each of the second training data including a first and-face strategy, a second and-face strategy, and labeled data of the similarity of the first and-face strategy and the second and-face strategy;

[0158] For each second training data in the second training set, the following processing is performed:

[0159] inputting the first and-face strategy and the second and-face strategy in the second training data into a preset second deep learning model to obtain predicted data of the similarity of the first and-face strategy and the second and-face strategy;

[0160] updating model parameters of the second deep learning model based on the predicted data and the labeled data of the similarity of the first and-face strategy and the second and-face strategy;

[0161] detecting whether a preset second training end condition is met; if yes, the trained second deep learning model is used as the similarity model; if no, the second deep learning model is trained using the next second training data.

[0162] The application does not limit the training process of the similarity model, which may be, for example, a supervised learning training method, or a semi-supervised learning training method, or an unsupervised learning training method.

[0163] The application does not limit the preset second training end condition, which may be, for example, that the number of training reaches a preset number (the preset number may be, for example, 1, 3, 10, 100, 1000, 10000, etc.), or that all the second training data in the second training set complete one or more training, or that the total loss value obtained by this training is not greater than a preset loss value.

[0164] The preset similarity threshold is not limited, and can be, for example, 81%, 83%, 92%, 95%, 99.9%, etc.

[0165] Referring to Figure 6 , Figure 6 Another flowchart for controlling the stirring of the driving device 50 is shown.

[0166] In one embodiment, the preset parameter information further includes a preset negative pressure range.

[0167] The step S106 can include steps S501-S504.

[0168] In step S501, when the disinfection device 40 completes the disinfection strategy, the actual negative pressure of the dough chamber 21 is obtained by using the vacuum sensor 90.

[0169] In step S502, when the actual negative pressure is higher than the maximum value of the preset negative pressure range, the negative pressure device 70 is controlled to operate to keep the negative pressure of the dough chamber 21 within the preset negative pressure range.

[0170] In step S503, when the actual negative pressure is lower than the minimum value of the preset negative pressure range, the vacuum negative pressure safety valve is controlled to open, and / or a second prompt information is sent to the user equipment.

[0171] In step S504, when the actual negative pressure is within the preset negative pressure range, the driving device 50 is controlled to stir the powder and liquid materials in the dough chamber 21.

[0172] Thus, by comparing the preset negative pressure range with the actual negative pressure, the driving device 50 is controlled to stir the powder and liquid materials only when the actual negative pressure is within the preset negative pressure range, which has a high safety factor. In addition, the related powder disinfection step can also perform pre-disinfection on the powder before entering the dough machine by using ozone or the like, but in order to avoid damage to the surrounding people or objects caused by disinfection, a container needs to be added for the above pre-disinfection. The disinfection step of the present scheme is performed in the negative pressure environment of the dough making equipment (dough chamber), which saves the placement of the above-mentioned container under the premise of high safety factor, saves the space occupation and production investment of the production workshop.

[0173] The actual negative pressure and the negative pressure range are not limited in the embodiments of the present application. For example, the negative pressure range is 0.01 Mpa to 0.05 Mpa or 0.008 Mpa to 0.06 Mpa, and the actual negative pressure is 0.03 Mpa, 0.041 Mpa or 0.045 Mpa. The vacuum safety valve is in communication with the dough mixing chamber 21, and when the vacuum safety valve is opened, the dough mixing chamber 21 is in communication with the normal pressure environment. The vacuum sensor can be partially arranged in the dough mixing chamber 21 to obtain the actual negative pressure of the dough mixing chamber 21.

[0174] The second prompt information is not limited in the embodiments of the present application, which is, for example, prompt information in the form of text, image, video or voice. For example, the text is "the actual negative pressure is lower than the preset negative pressure value", or the prompt image for prompting that the actual negative pressure is lower than the preset negative pressure range is set in advance.

[0175] Referring to Figure 7 , Figure 7 A flowchart of another control method of a dough mixing device is shown.

[0176] In one embodiment, the disinfection device 40 comprises an ozone disinfection device, and the method further comprises steps S107-S108.

[0177] In step S107, the safety information of the dough mixing device is obtained by using the ozone detection device 80, and the safety information is used to indicate whether the ozone leaks from the dough mixing chamber 21 or not.

[0178] In step S108, when the safety information indicates that the ozone leaks, the ozone disinfection device is controlled to be closed, the ventilation device is controlled to ventilate the working space of the dough mixing device, and / or the ozone disinfection device is controlled to be closed and the third prompt information is sent to the user device.

[0179] On the one hand, ozone has strong oxidation effect and can be quickly decomposed into harmless substances when it contacts with pollutants in the air. Operating in the ozone environment can effectively kill bacteria, viruses and other microorganisms, and can provide consumers with healthier and safer food products. On the other hand, ozone can also improve the quality of raw materials and improve the quality of products, because ozone has the effects of removing odor, increasing aroma, bleaching and the like. After the dough processed by using ozone, the color and aroma of the food made of the dough (steamed buns, bread, noodles and the like) will be significantly improved.

[0180] It should be noted that steps S107-S108 are not limited to being performed after step S101, but can also be performed before step S101, or after steps S102, S103, S104, S105, S106. When steps S107-S108 are performed after step S101, the process of ozone leakage inspection covers the whole process, and the safety factor is high. When steps S107-S108 are performed after step S104, ozone leakage inspection is only performed after the disinfection strategy is obtained, which can save energy consumption during the ozone leakage inspection process and reduce production costs.

[0181] The ozone detection device 80 can include a fixed ozone detector and a mobile ozone detector. The ozone detection device can be arranged on the outer surface of the dough mixing device.

[0182] The safety information is not limited in the embodiments of the present application, and for example, can include real-time ozone concentration. When the real-time ozone concentration is higher than the ozone concentration threshold, it indicates that ozone leaks from the dough mixing chamber 21.

[0183] The third prompt information is not limited in the embodiments of the present application, and for example, is prompt information in the form of text, image, video or voice. For example, it is a text “There is ozone leakage, please pay attention to safety”, or a prompt image set in advance for prompting ozone leakage.

[0184] The ventilation device is not limited in the embodiments of the present application, and for example, is an axial flow fan, a negative pressure fan, etc.

[0185] In one embodiment, a dough mixing device includes: a dough mixing device body including a dough mixing chamber; an interactive device arranged outside the dough mixing device; a state sensor at least partially arranged in the dough mixing device body; a disinfection device connected to the dough mixing chamber through a pipeline; a driving device at least partially arranged in the dough mixing device body; and an ozone disinfection device at least partially arranged in the dough mixing device body for disinfection of powder entering the dough mixing chamber and powder after entering the dough mixing chamber.

[0186] A control method for the above-mentioned dough mixing device includes:

[0187] Receiving a trigger operation by the interactive device;

[0188] In response to the trigger operation, obtaining preset parameter information of the dough to be processed, the preset parameter information including one or more of preset powder type information, preset powder weight information, preset dough type information, preset dough weight information, and preset negative pressure range;

[0189] acquire state detection information by using a state sensor, the state detection information including one or more of a powder feeding speed, a powder weight to be fed, and a powder weight already fed;

[0190] acquire a sterilization strategy based on the state detection information and the preset parameter information, the sterilization strategy including at least one sterilization duration and a sterilization dosage corresponding to the sterilization duration;

[0191] control the sterilization device to execute the sterilization strategy to sterilize the powder entering the mixing chamber;

[0192] acquire a correspondence between the preset parameter information and the target mixing strategy when the sterilization device finishes executing the sterilization strategy;

[0193] verify the target mixing strategy. When the verification is successful, control the mixing equipment to stir the powder and the liquid in the mixing chamber based on the target mixing strategy, the target mixing strategy including at least one mixing duration and a stirring speed corresponding to the mixing duration. When the verification fails, send a first prompt information to a user device and / or display the first prompt information by using the interaction device;

[0194] When the sterilization device finishes executing the sterilization strategy, the method further includes the following steps:

[0195] acquire an actual negative pressure of the mixing chamber by using a vacuum sensor when the sterilization device finishes executing the sterilization strategy;

[0196] When the actual negative pressure is higher than a maximum value of the preset negative pressure range, control a negative pressure device to operate to keep the negative pressure of the mixing chamber within the preset negative pressure range;

[0197] When the actual negative pressure is lower than a minimum value of the preset negative pressure range, control a vacuum negative pressure safety valve to open and / or send a second prompt information to a user device;

[0198] When the actual negative pressure is within the preset negative pressure range, control the driving device to stir the powder and the liquid in the mixing chamber.

[0199] Meanwhile, in any one or more continuous or discontinuous steps of the above method, acquire safety information of the mixing equipment by using an ozone detection device, the safety information being used to indicate whether the mixing chamber has ozone leakage or not;

[0200] When the safety information indicates that there is ozone leakage, control the ozone sterilization device to be closed and control a ventilation device to ventilate a working space of the mixing equipment and / or control the ozone sterilization device to be closed and send a third prompt information to a user device.

[0201] The process of verifying the target dough-making strategy comprises:

[0202] Obtaining actual parameter information, the actual parameter information comprising one or more of actual flour type information, actual flour weight information, actual dough type information, and actual dough weight information;

[0203] Inputting the actual parameter information into a strategy generation model to obtain a predicted dough-making strategy of the dough-making device;

[0204] Calculating a strategy similarity between the predicted dough-making strategy and the target dough-making strategy;

[0205] When the strategy similarity is not less than a similarity threshold, determining that the verification of the target dough-making strategy is successful;

[0206] When the strategy similarity is less than the similarity threshold, determining that the verification of the target dough-making strategy fails.

[0207] Electronic device embodiment

[0208] The electronic device embodiment provides an electronic device, the specific implementation manner of which is consistent with the implementation manner and the achieved technical effects described in the method embodiment, and part of the content will not be described herein.

[0209] The electronic device comprises a memory and a processor, the memory storing a computer program, and the processor being configured to implement the following steps when executing the computer program:

[0210] Receiving a trigger operation by using an interaction device;

[0211] In response to the trigger operation, obtaining preset parameter information of a dough to be processed, the preset parameter information comprising one or more of preset flour type information, preset flour weight information, preset dough type information, and preset dough weight information;

[0212] Obtaining state detection information by using a state sensor, the state detection information comprising one or more of flour feeding speed, flour weight to be fed, and flour weight already fed;

[0213] Based on the state detection information and the preset parameter information, obtaining a disinfection strategy; the disinfection strategy comprising at least one disinfection time length and a disinfection dose corresponding to the disinfection time length;

[0214] Controlling a disinfection device to execute the disinfection strategy to disinfect flour entering a dough-making chamber;

[0215] When the disinfection device finishes executing the disinfection strategy, the processor is further configured to control the driving device to stir the powder and liquid in the dough mixing chamber according to the target dough mixing strategy.

[0216] In one embodiment, when the disinfection device finishes executing the disinfection strategy, the processor is further configured to control the driving device to stir the powder and liquid in the dough mixing chamber according to the target dough mixing strategy when the computer program is executed.

[0217] When the disinfection device finishes executing the disinfection strategy, the correspondence between the preset parameter information and the target dough mixing strategy is obtained.

[0218] Based on the preset parameter information and the correspondence, the target dough mixing strategy corresponding to the dough to be processed is determined and sent to the driving device, so that the driving device stirs the powder and liquid in the dough mixing chamber according to the target dough mixing strategy; the target dough mixing strategy includes at least one dough mixing time and a stirring speed corresponding to the dough mixing time.

[0219] In one embodiment, before the driving device stirs the powder and liquid in the dough mixing chamber according to the target dough mixing strategy, the processor is further configured to implement the following steps when the computer program is executed.

[0220] The target dough mixing strategy is verified.

[0221] When the verification is successful, the powder and liquid in the dough mixing chamber are stirred based on the target dough mixing strategy.

[0222] When the verification fails, first prompt information is sent to the user device, and / or the first prompt information is displayed by using the interaction device.

[0223] In one embodiment, the processor is further configured to implement the following steps to verify the target dough mixing strategy when the computer program is executed.

[0224] Actual parameter information is obtained, the actual parameter information including one or more of actual powder type information, actual powder weight information, actual dough type information, and actual dough weight information.

[0225] The actual parameter information is input into a strategy generation model to obtain a predicted dough mixing strategy of the dough mixing device.

[0226] The strategy similarity between the predicted dough mixing strategy and the target dough mixing strategy is calculated.

[0227] When the strategy similarity is not less than a similarity threshold, it is determined that the verification result of the target dough mixing strategy is verification success.

[0228] When the similarity of the strategy is less than the similarity threshold, the result of verifying the target and surface strategy is that the verification fails.

[0229] In one embodiment, the preset parameter information further includes a preset negative pressure range;

[0230] When the disinfection device completes the disinfection strategy, the processor is also configured to control the drive device to stir the powder and liquid in the mixing chamber in the following manner when executing the computer program:

[0231] When the disinfection device finishes executing the disinfection strategy, the actual negative pressure of the dough mixing chamber is obtained using a vacuum sensor;

[0232] When the actual negative pressure is higher than the maximum value of the preset negative pressure range, the negative pressure device is controlled to operate so that the negative pressure in the mixing chamber is maintained within the preset negative pressure range;

[0233] When the actual negative pressure is lower than the minimum value of the preset negative pressure range, the vacuum negative pressure safety valve is opened, and / or a second prompt message is sent to the user equipment;

[0234] When the actual negative pressure is within the preset vacuum range, the drive device is controlled to stir the powder and liquid in the mixing chamber.

[0235] In one embodiment, the disinfection device includes an ozone disinfection device, and the processor is further configured to perform the following steps when executing the computer program:

[0236] The safety information of the dough-mixing equipment is obtained using an ozone detection device, and the safety information is used to indicate whether there is an ozone leak or no ozone leak in the dough-mixing chamber.

[0237] When the safety information indicates an ozone leak, the ozone disinfection device is shut down and the ventilation equipment is used to ventilate the workspace of the dough-making equipment. Alternatively, the ozone disinfection device is shut down and a third alert is sent to the user's device.

[0238] See Figure 8 , Figure 8 A schematic diagram of the structure of an electronic device provided in this application is shown.

[0239] Electronic devices may include, for example, at least one memory 11, at least one processor 12, and a bus 13 connecting different platform systems.

[0240] The memory 11 can include a readable medium in the form of volatile memory, such as a random access memory (RAM) 111 and / or a cache memory 112, and can further include a read-only memory (ROM) 113.

[0241] The memory 11 further stores a computer program which can be executed by the processor 12, so that the processor 12 implements the steps of any of the above methods.

[0242] The memory 11 can further include utility 114 having at least one program module 115, such program module 115 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of these examples or some combination thereof can include implementation of a network environment.

[0243] Correspondingly, the processor 12 can execute the above computer program, and can execute the utility 114.

[0244] The processor 12 can employ one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), or other electronic elements.

[0245] The bus 13 can be one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor or local bus using any of a variety of bus architectures, and a storage interface.

[0246] The electronic device can also communicate with one or more external devices 14, such as a keyboard, pointing device, Bluetooth device, etc., and with one or more devices capable of interacting with the electronic device, and / or with any device that enables the electronic device to communicate with one or more other computing devices (e.g., a router, modem, etc.). This communication can be performed through input / output interface 15. Furthermore, the electronic device can communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 16. Network adapter 16 can communicate with other modules of the electronic device via bus 13. It should be understood that, although not shown in the figures, in practical applications, other hardware and / or software modules can be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms.

[0247] Dough mixing equipment example

[0248] This embodiment provides a dough kneading device, the specific implementation of which is consistent with the implementation methods and the technical effects achieved in the above-described method embodiments and electronic device embodiments, and some contents will not be repeated.

[0249] See Figure 9 , Figure 9 A schematic diagram of another dough-kneading device provided in this application is shown.

[0250] The dough-kneading device includes any of the electronic devices described in the electronic device embodiments, and the dough-kneading device further includes:

[0251] The main body 20 of the dough mixing equipment includes a dough mixing chamber 21, which is used to contain powder for dough mixing;

[0252] An interactive device 60 is used to receive a trigger operation to obtain preset parameter information of the dough to be processed. The preset parameter information includes one or more of the following: powder type information, powder weight information, and dough type information.

[0253] A status sensor 30 is used to acquire status detection information, which includes one or more of the following: powder feeding speed, powder to be added weight, and powder already added weight.

[0254] Disinfection device 40, which is used to implement a disinfection strategy to disinfect powder;

[0255] A driving device 50 is used to stir the sterilized powder.

[0256] SeeFigure 10 , Figure 10 A schematic diagram of another dough-kneading device provided in this application is shown.

[0257] In one embodiment, the dough-kneading device further includes:

[0258] Vacuum sensor 90, the vacuum sensor 90 is used to obtain the actual negative pressure of the kneading chamber 21;

[0259] Negative pressure device 70, the negative pressure device 70 is used to maintain the negative pressure of the kneading chamber 21 within a preset negative pressure range;

[0260] An ozone detection device 80 is used to acquire safety information of the dough mixing equipment, and the safety information is used to indicate whether there is an ozone leak or not in the dough mixing chamber 21.

[0261] Storage Media Examples

[0262] This application also provides a computer-readable storage medium, the specific implementation of which is consistent with the implementation methods and the technical effects achieved in the above method embodiments, and some contents will not be repeated.

[0263] The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of any of the above methods.

[0264] See Figure 11 , Figure 11 A structural block diagram of a program product provided in this application is shown. The program product is used to implement the steps of any of the methods described above. It may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may run on a terminal device, such as a personal computer. However, the program product of this invention is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device. The program product may employ any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0265] The computer readable storage medium can include a computer-readable medium in baseband or propagated as a carrier wave in a propagated signal, wherein the latter embodiment includes a computer-readable medium. The propagated signal can take a variety of forms including, but not limited to, electromagnetic, optical, or any suitable combination thereof. Computer readable medium can be any medium that can be read by a machine (e.g., a computer). The computer-readable medium can include, but is not limited to, volatile or non-volatile storage mediums that are removable and / or non-removable including, but not limited to, electrically programmable memory (EPROM), electrically erasable and programmable memory (EEPROM), flash memory, optical disks, CD- ROMs, DVD ROMs, magnetic disks, and / or other magnetic storage devices. The instructions can be implemented using a plurality of programming languages and a plurality of programming techniques. The programming language can include, but is not limited to, C, C++, Java, and / or the like. The programming techniques can include, but are not limited to, object-oriented programming techniques, procedural programming techniques, and / or the like. The instructions can be executed completely, partially, or not at all, on a user device, a remote device, and / or a server. In embodiments involving a remote device, the remote device can be connected to the user device through any type of network, including, but not limited to, a local area network (LAN) or a wide area network (WAN), or the remote device can be connected to an external computing device (e.g., through an Internet service provider using the Internet).

[0266] In this application, "at least one" means one or more, "multiple" means two or more. "And / or" describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the following three cases: A exists alone, A and B exist together, B exists alone, where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects before and after it. "At least one of the following" or similar expressions means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b or c can represent a, b, c, a and b, a and c, b and c, or a and b and c, where a, b and c can be single or multiple. It is worth noting that "at least one" can also be interpreted as "one or more"

[0267] The application is described from the use purpose, efficiency, progress and novelty, which meets the function improvement and use requirements emphasized by the patent law. The above description and drawings are only the preferred embodiments of the application, and are not limited to the application. Therefore, all similar, identical, equivalent replacement or modification within the scope of the patent application of the application shall be within the scope of the patent application protection of the application.

Claims

1. A control method for a dough mixing device, characterized in that, The dough mixing equipment includes: The main body of the dough mixing equipment includes a dough mixing chamber; An interactive device, wherein the interactive device is disposed outside the dough-kneading device; A status sensor, which is at least partially disposed on the main body of the dough mixing device; A disinfection device, wherein the disinfection device and the dough mixing chamber are connected by a pipeline; A driving device, at least a portion of which is disposed on the main body of the dough-mixing device; The method includes: Receive trigger operations using an interactive device; In response to the triggering operation, preset parameter information of the dough to be processed is obtained, the preset parameter information including one or more of preset powder type information, preset powder weight information, preset dough type information, and preset dough weight information; The status detection information is obtained by using a status sensor, and the status detection information includes one or more of the following: powder feeding speed, powder to be added weight, and powder already added weight. Based on the status detection information and the preset parameter information, a disinfection strategy is obtained; the disinfection strategy includes at least one disinfection duration and a disinfection dosage corresponding to the disinfection duration; The disinfection device is controlled to execute the disinfection strategy to disinfect the powder entering the dough mixing chamber; When the disinfection device finishes executing the disinfection strategy, the actual negative pressure of the dough mixing chamber is obtained using a vacuum sensor; When the actual negative pressure is within the preset vacuum range, the control drive device stirs the powder and liquid in the dough mixing chamber to obtain the dough to be processed; When the actual negative pressure is higher than the maximum value of the preset negative pressure range, the negative pressure device is controlled to operate so that the negative pressure of the dough mixing chamber is maintained within the preset negative pressure range; When the actual negative pressure is lower than the minimum value of the preset negative pressure range, the vacuum negative pressure safety valve is opened, and / or a second prompt message is sent to the user equipment.

2. The control method for the dough mixing equipment according to claim 1, characterized in that, When the disinfection device completes the disinfection strategy, the control drive device stirs the powder and liquid materials in the mixing chamber, including: When the disinfection device finishes executing the disinfection strategy, it obtains the correspondence between the preset parameter information and the target and surface strategies. Based on the preset parameter information and the corresponding relationship, the target kneading strategy corresponding to the dough to be processed is determined and sent to the driving device, so that the driving device can stir the powder and liquid in the kneading chamber according to the target kneading strategy; the target kneading strategy includes at least one kneading time and a stirring speed corresponding to the kneading time.

3. The control method for the dough mixing equipment according to claim 2, characterized in that, The step of determining the target dough-making strategy corresponding to the dough to be processed based on the preset parameter information and the correspondence relationship and sending it to the driving device includes: The target and surface strategies are validated. When the verification is successful, based on the target dough mixing strategy, the dough mixing equipment is controlled to stir the powder and liquid materials in the dough mixing chamber; When verification fails, a first prompt message is sent to the user device, and / or the first prompt message is displayed using the interactive device.

4. The control method for the dough mixing equipment according to claim 3, characterized in that, The process of validating the target and surface strategies includes: Obtain actual parameter information, which includes one or more of the following: actual powder type information, actual powder weight information, actual dough type information, and actual dough weight information; The actual parameter information is input into the strategy generation model to obtain the predicted dough-making strategy of the dough-making device; Calculate the policy similarity between the predicted surface policy and the target surface policy; When the similarity of the strategy is not less than the similarity threshold, the result of verifying the target and surface strategy is that the verification is successful. When the similarity of the strategy is less than the similarity threshold, the result of verifying the target and surface strategy is that the verification fails.

5. The control method for the dough mixing equipment according to claim 1, characterized in that, The preset parameter information also includes a preset negative pressure range; When the disinfection device completes the disinfection strategy, the control drive device stirs the powder and liquid materials in the mixing chamber, including: When the disinfection device completes the disinfection strategy, it uses a vacuum sensor to obtain the actual negative pressure of the kneading chamber.

6. The control method for the dough mixing equipment according to claim 1, characterized in that, The disinfection device includes an ozone disinfection device, and the method further includes: The safety information of the dough-mixing equipment is obtained using an ozone detection device, and the safety information is used to indicate whether there is an ozone leak or no ozone leak in the dough-mixing chamber. When the safety information indicates an ozone leak, the ozone disinfection device is shut down and the ventilation equipment is used to ventilate the workspace of the dough-making equipment. Alternatively, the ozone disinfection device is shut down and a third alert is sent to the user's device.

7. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program, and the processor being configured to execute the computer program to perform the following steps: Receive trigger operations using an interactive device; In response to the triggering operation, preset parameter information of the dough to be processed is obtained, the preset parameter information including one or more of preset powder type information, preset powder weight information, preset dough type information, and preset dough weight information; The status detection information is obtained by using a status sensor, and the status detection information includes one or more of the following: powder feeding speed, powder to be added weight, and powder already added weight. Based on the status detection information and the preset parameter information, a disinfection strategy is obtained; The disinfection strategy includes at least one disinfection duration and a disinfection dose corresponding to the disinfection duration; The disinfection device is controlled to execute the disinfection strategy to disinfect the powder entering the dough mixing chamber; When the disinfection device finishes executing the disinfection strategy, the actual negative pressure of the dough mixing chamber is obtained using a vacuum sensor; When the actual negative pressure is within the preset vacuum range, the control drive device stirs the powder and liquid in the dough mixing chamber to obtain the dough to be processed; When the actual negative pressure is higher than the maximum value of the preset negative pressure range, the negative pressure device is controlled to operate so that the negative pressure of the dough mixing chamber is maintained within the preset negative pressure range; When the actual negative pressure is lower than the minimum value of the preset negative pressure range, the vacuum negative pressure safety valve is opened, and / or a second prompt message is sent to the user equipment.

8. A dough mixing device, characterized in that, The dough-kneading device includes the electronic device of claim 7, and the dough-kneading device further includes: The main body of the dough mixing equipment includes a dough mixing chamber for containing powder for dough mixing; An interactive device is used to receive a trigger operation to obtain preset parameter information of the dough to be processed. The preset parameter information includes one or more of the following: powder type information, powder weight information, and dough type information. A status sensor is used to acquire status detection information, which includes one or more of the following: powder feeding speed, powder to be added weight, and powder already added weight. A disinfection device, wherein the disinfection device is used to execute a disinfection strategy to disinfect powder; A driving device for stirring the sterilized powder.

9. The dough mixing equipment according to claim 8, characterized in that, The dough mixing equipment also includes: A vacuum sensor is used to obtain the actual negative pressure in the mixing chamber; A negative pressure device is used to maintain the negative pressure in the kneading chamber within a preset negative pressure range; An ozone detection device is used to acquire safety information of a dough-mixing equipment, the safety information being used to indicate whether there is an ozone leak or not in the dough-mixing chamber.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method according to any one of claims 1 to 6.

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