2253 results about "Food material" patented technology

The invention relates to an intelligent lean optimization method and system for a food raw material formula and a medium, and the method comprises the following steps: building a problem according to a user demand, and inputting the problem into a large model; analyzing the large model according to answers output by the questions to obtain food raw material formula knowledge; structuring the food raw material formula knowledge and establishing a knowledge graph; and according to the taste relation in the knowledge graph and the food raw material dosage, calculating to obtain a corresponding product flavor index, and combining a deep reinforcement learning algorithm to dynamically adjust the food raw material dosage through iteration to realize multi-target optimization of the product flavor index, so that the optimized product flavor index is matched with a preset target value. Compared with the prior art, the accuracy and richness of the obtained food raw material formula knowledge are improved, the complex and changeable market requirements can be met, and the efficiency and precision of food raw material formula optimization are remarkably improved.

The invention discloses a cooking method of a pressure cooker, which comprises the following steps: a boosting cooking stage: starting a heating device to enable the cooking pressure of the pressure cooker to reach a first preset cooking condition; in the variable-pressure wall breaking stage, a heating device is turned off, a cooling device is turned on to enable the cooking pressure of the pressure cooker to be rapidly reduced from the first preset cooking condition to a second preset cooking condition, so that cell walls of cooking food materials are broken under the action of pressure difference formed in a short time, and the second preset cooking condition at least comprises that the cooking pressure is larger than normal pressure. When the cooking pressure is rapidly reduced from the first preset cooking condition to a second preset cooking condition, the rapid pressure reduction rate is at least 1.8 times of the natural pressure reduction rate. Through the method, food materials which are not easy to cook and have thick cell walls can be cooked in a short time, meanwhile, nutrient substances are fully dissolved out, and the cooking taste is improved.

Food material processing equipment based on water jet comprises a sorting assembly, a food material overturning assembly I, a food material overturning assembly II, a cleaning assembly, a discharging guide rail and a material blocking assembly, the discharging end of the sorting assembly is higher than the feeding end of the food material overturning assembly I, and the sorting assembly and the food material overturning assembly I communicate with each other through the discharging guide rail; the feeding end of the food material overturning assembly II is higher than the discharging end of the food material overturning assembly I, and the feeding end and the discharging end are communicated through a discharging guide rail. The food material overturning assembly I comprises a workbench III, a revolution assembly and an autorotation assembly, the revolution assembly is rotationally installed on the workbench III, and the autorotation assembly is arranged at the rotating end of the revolution assembly. By arranging the food material overturning assembly I, quasi-cylindrical food materials can be driven to rotate through the rotating shaft, and at the moment, the rotating food materials can be cleaned. And the sheet-shaped food materials can fall into the cross-shaped overturning box, then the food materials are driven to be overturned, and then the overturned food materials are cleaned. In this way, the food materials do not need to be manually turned over, and the food material cleaning efficiency is improved.

The invention discloses a food material baking method based on image recognition, a storage medium and an electronic device, and relates to the technical field of smart home, the food material baking method based on image recognition comprises the following steps: determining a pixel region corresponding to a preset type of food material in an image collected from the interior of an oven; determining barycentric coordinates of the preset type of food materials in a first coordinate system according to the pixel region; wherein the first coordinate system is an equipment coordinate system of image acquisition equipment in the oven; the physical distance between the center position of a heating device of the oven and the center-of-gravity position of the preset type of food materials is determined through the center-of-gravity coordinates; according to the physical distance and the pixel area, determining first heat received by the preset type of food materials within target time, and according to the first heat, determining a baking strategy for the preset type of food materials.

The invention relates to the technical field of nutritious food configuration, and discloses a system and a method for configuring personalized nutritious food, and the method for configuring personalized nutritious food comprises the following steps: collecting spectral characteristic data and chemical component data of a food material sample by adopting a hyperspectral imaging and mass spectrum combined technology, and obtaining holographic chemical fingerprint information; processing the collected spectral data by using a multi-scale feature extraction algorithm, extracting multi-level feature information of the food materials, and carrying out standardization and dimension reduction processing on the feature data; according to the method, high-precision prediction of the nutrient content of the food material is realized through combination of hyperspectral imaging and mass spectrometry technologies and a deep learning model, so that the nutrient content prediction accuracy and the configuration scheme accuracy are improved, the nutrient balance achievement rate is also improved, and meanwhile, the limitation of a static database is broken through; real-time nutritional ingredient analysis of any food material is achieved, the method can adapt to individual differences and freshness changes of the food materials, and accurate configuration based on actual food material characteristics is provided.

The embodiment of the invention relates to a model training method and device, computer equipment and a storage medium, gradient information uploaded by a plurality of terminals and role information corresponding to each terminal are received, the gradient information is generated by training a local model of each terminal, the local model is trained through health data of the terminal, and the role information corresponding to each terminal is obtained. The generation module is used for generating food recommendation information corresponding to the role information; for each piece of gradient information, determining a weight based on the corresponding role information, and performing weighted aggregation on the plurality of pieces of gradient information according to the weight; and generating a global model updating parameter based on the gradient information after weighted aggregation, and sending the global model updating parameter to each terminal, so that the terminal performs updating training on the local model according to the global model updating parameter. Therefore, after gradient information of different user terminals is obtained and weighted aggregation is carried out, optimization training is carried out on the local model of each terminal, and after optimization, the model of each terminal dynamically adapts to health requirements of different users, so that the accuracy of model output is improved.

The invention relates to the technical field of real-time control software, and discloses a multi-sensor-based oven constant temperature control system and method, and the system comprises a multi-sensor detection module, a temperature control module connected with the multi-sensor detection module through a CNA bus, and an air circulation module connected with the multi-sensor detection module and the temperature control module. And the safety protection module is connected with the multi-sensor detection module and related control devices of the oven. The method corresponds to the system. According to the oven constant temperature control system and method based on the multiple sensors, through cooperation of all the modules and steps, the temperature detection accuracy and comprehensiveness are improved, the oven environment and actual food heating are both considered, meanwhile, dynamic intelligent temperature control is achieved, environment interference is reduced, temperature overshoot and lag are avoided, different food materials are adapted, in addition, airflow distribution is optimized, and the energy consumption is reduced. The temperature uniformity is improved, the safety and the reliability are enhanced, all-directional protection is formed, and stable operation of the system is guaranteed.

The invention relates to the technical field of intelligent household appliances, and provides a refrigerator sterilization method and device, a refrigerator, equipment, a medium and a program product.The method comprises the steps that it is determined that the standby duration of a pulse function module is larger than first preset duration, and a sterilization signal is generated; and sending a sterilization signal to the pulse function module, wherein the sterilization signal is used for indicating the pulse function module to emit pulsed light in the refrigerator according to the sterilization mode. The standby duration of the pulse function module is timed, and when the duration that the refrigerator is not sterilized exceeds the preset duration, the sterilization signal for triggering the pulse function module to sterilize is automatically generated, so that when a user forgets to sterilize or feels that sterilization is too troublesome to manually start, the sterilization signal is automatically generated; and the pulse function module is controlled to automatically sterilize in the refrigerator, so that the food materials are prevented from breeding bacteria in the refrigeration process, and the food materials and the interior of the refrigerator are effectively guaranteed to be clean.

The invention discloses a high-throughput continuous switching food 3D printing method and system. The method comprises the steps that a printing target three-dimensional model is selected, layered slicing is conducted on the printing target three-dimensional model in the Z-axis direction, and multiple layers of printing images are generated; converting the multi-layer printing image generated by slicing into a material information matrix based on a gray threshold; printing parameters are set, a material switching advance distance and material switching section variable speed optimization are set according to material physical properties, and a continuous switching food 3D printing G-code control instruction is generated based on the material information matrix. According to the method, accurate segmentation and path coherence control of a multi-material area can be achieved in combination with the rheological property of the food material, so that the high-throughput printing requirement is met while the pattern fidelity is guaranteed, stable deposition and accurate pattern reproduction of the food material can be achieved in the fast switching process of the same spray head, and the printing efficiency is improved. And the comprehensive performance of food 3D printing in complex model manufacturing and high-throughput production can be improved.

The invention belongs to the technical field of recipe optimization, and relates to a recipe optimization method and device based on nutrient intake and a storage medium. The method comprises the following steps: acquiring various food materials and initial dosages thereof in a recipe to be optimized; based on the content of each nutrient in each food material and the initial dosage of each food material, constructing a content equation of each nutrient in the to-be-optimized recipe; based on the content equation of various nutrients in the to-be-optimized recipe, constructing a nutrient type equation which does not meet the constraint in the to-be-optimized recipe by taking the condition that the content of each nutrient in the to-be-optimized recipe is greater than or equal to the minimum intake and less than or equal to the maximum intake as the constraint; constructing an optimization objective function of the to-be-optimized recipe by taking minimization of nutrient types which do not meet the constraint in the to-be-optimized recipe as an objective; and solving the optimization objective function to obtain the target dosage of each food material in the to-be-optimized recipe, so that the to-be-optimized recipe is optimized to generate a recipe conforming to the nutrition intake standard.

The invention discloses a personalized diet recommendation method for enteritis patients, a medium and equipment. The method comprises the following steps: continuously collecting diet image data, physiological state time sequence data and subjective symptom feedback data; performing food material component deconstruction and cooking mode identification on the diet image through a convolutional neural network, and generating a structured diet vector; analyzing physiological state time sequence data by using a hidden Markov model, and constructing an individualized physiological rhythm map; establishing a symptom triggering condition probability matrix based on a multi-modal association mining algorithm; generating an exploratory diet scheme according to the real-time physiological state of the user and the conditional probability matrix; dynamically updating the conditional probability matrix through an online reinforcement learning mechanism; and finally, periodically outputting a personalized diet taboo list and a safety exploration list. According to the method, through the dynamic correlation analysis of fusing the time sequence physiological features and the dietary components, accurate matching of diet recommendation and individual intestinal tract state fluctuation is realized, and the individuation and adaptability of diet intervention are effectively improved.

The invention relates to the technical field of kitchen appliances, and discloses a fruit and vegetable cleaning device, a control method thereof and an integrated water tank. The fruit and vegetable cleaning device comprises a first water tank, and a first water outlet is formed in the bottom of the first water tank; at least part of the cleaning component is arranged in the first water tank, and the cleaning component is used for disturbing water in the first water tank; the flow guide plate is arranged at the first water drainage opening, and a water drainage gap is formed between the flow guide plate and the side wall of the first water drainage opening; the deposition tank is arranged on the lower side of the first water tank and is communicated with the first water tank through the drainage gap; the drainage assembly is connected with the deposition tank and used for draining water in the first water tank and the deposition tank; and the flushing assembly is connected with the deposition tank and used for flushing water into the deposition tank. According to the fruit and vegetable cleaning device, silt and food materials can be isolated during cleaning, and the silt is automatically cleaned, so that the cleaning effect on the food materials and the use experience of a user are improved.

The invention discloses a food fermentation control method based on a food fermentation device, and the method comprises the following steps: 1, setting a plurality of fermentation programs in a display control module, and selecting one of the fermentation programs through the display control module; 2, opening a fermentation tank cover, and adding food materials and water into a fermentation tank body; 3, the display control module automatically calculates the needed salt amount according to the weight of the added food materials and water and salt percentage data set by a fermentation program, and then the needed salt amount is added into the fermentation tank body; 4, covering the fermentation tank cover on the fermentation tank body, sensing the temperature in the tank by the temperature measuring piece, and feeding back the temperature to the display control module; 5, controlling the work of a temperature control module through a display control module, and controlling the temperature of the fermentation container placement cavity within a temperature value range specified by a fermentation program; and maintaining the set temperature within a specified fermentation time; according to the invention, the weight of added food and seasonings can be conveniently controlled, and meanwhile, real-time temperature feedback and accurate temperature control are realized.

The invention provides a mobile kitchen resource scheduling and energy optimization method and system based on multi-modal perception, relates to the technical field of mobile kitchen management, and covers the working state of cooking equipment, the food material storage environment, the energy supply dynamic state, the cooking task queue and other data by obtaining a mobile kitchen multi-scene perception data set. A resource energy interference knowledge graph is constructed based on mobile kitchen multi-scene perception data to represent the mutual interference relationship of each link. And determining a dynamic adaptive priority of resource scheduling and energy allocation according to the resource and energy interference knowledge graph, and executing collaborative allocation processing according to the dynamic adaptive priority to generate a resource and energy collaborative allocation scheme. And in the cooking task execution process, the knowledge graph is updated and the collaborative allocation scheme is adjusted by using real-time sensing data, so that a dynamically optimized mobile kitchen resource scheduling and energy optimization scheme is formed, and the resource utilization efficiency and the energy utilization efficiency of the mobile kitchen are effectively improved.

The invention provides a composite herbal cereal protein peptide solid beverage for targeted regulation of uric acid metabolism, and belongs to the technical field of common food developed from medicinal and edible raw materials. According to the invention, Chinese yam, mulberry leaf, gordon euryale seed, lily, coix seed, radish seed, root of kudzu vine, Poria cocos, dried orange peel and other raw materials listed in the catalog of substances which are both food and traditional Chinese medicinal materials in the prior art are carefully selected, and are prepared through scientific compatibility and modern technology. The product not only realizes multi-target reduction of uric acid by inhibiting generation of uric acid and promoting excretion of uric acid, but also is safe and free of toxic and side effects due to the fact that all the components conform to national food safety and medical and edible regulations. A zebra fish in-vivo experiment proves that the uric acid level can be remarkably reduced (Plt; 0.001) under the concentration of 500 mu g / mL. The invention provides a daily food solution integrating the traditional dietary therapy concept and modern scientific verification for people with hyperuricemia.

The invention relates to the technical field of diet health services, in particular to a diet service method and system based on human nutriology. The method comprises the steps of collecting multi-dimensional data for a user; on the basis of a human nutriology database and user full-amount data, a personalized nutrition target is determined through nutrition requirement calculation; in combination with personalized nutrition targets, user dietary habits and actual life scenes, food material recipes are matched to generate multiple sets of personalized dietary schemes; providing diet scheme execution guidance, and adjusting the diet scheme; the personalized diet scheme and the updating scheme are pushed to the user; the system comprises a user data acquisition module, a nutrition target determination module, a diet scheme generation module, a diet scheme guidance and dynamic adjustment module and a push module. According to the method, multi-dimensional adaptation of nutritional demand analysis to user data is realized, the disease state, exercise intensity and dietary habits of the user are fully combined, the nutrition target pertinence is improved, and the actual demand of the user is accurately matched.

The invention relates to the technical field of rice product processing, in particular to high-toughness nutritional rice noodles as well as a preparation method and application thereof. The novel food raw material peach gum and other raw materials are scientifically proportioned, and a twin-screw extrusion technology is combined to generate the high-toughness rice noodles. By optimizing the raw material ratio and process parameters, the toughness, nutritional value and functionality of the rice noodles are remarkably improved; functional dietary fibers are introduced into the formula of the rice noodles, so that the starch digestion rate is regulated and controlled, and the intestinal function is improved. The high-toughness nutritional rice noodles developed by the invention show a relatively balanced characteristic in texture characteristic detection, have unique advantages and potentials in the aspects of controlling the starch digestion rate and improving the intestinal function, can effectively maintain the nutrition and taste of food materials, are compound rice noodles with the characteristics of high toughness, nutrient enrichment and chronic disease adaptation, and have a broad market prospect. The food is suitable for diabetics and weight-losing people to eat.

The utility model discloses an electric multifunctional barbecue firewood stove, and relates to a multifunctional stove which has the functions of automatic turnover of barbecue, heating, fire observation, boiling, frying and frying in the field of outdoor camping, picnic and travel. A downward turning type oven door with a glass window is arranged on an oven body, an electric turning module is installed on the oven door, in the barbecuing process, a food material string can be laterally erected beside charcoal fire to be automatically rotated and barbecued through the module, manual food turning and charcoal dense smoke fire are avoided, and food material taking and seasoning spraying are convenient and safe after the oven door is opened in a downward turning mode. The combined stove cover is composed of a main stove cover and expansion covers, a boiling square pot, a roasting net and a frying pan can be placed after the main stove cover is opened, and the expansion covers, a chimney assembly, a teakettle and the like can be fixed at the positions of the two expansion covers on the main stove cover. And parts such as a folding storage plate, a firewood tray, an ash receiving tray (oven), a charcoal cage and a large barbecue bracket are also arranged. Various cooking modes of frying, boiling, boiling and baking are achieved in combination with the stove body, meanwhile, the number of processed food materials is large, and the stove has the heating and fire observing functions of a firewood stove.

The invention discloses a preparation method of fermented quinoa post-generation powder, and belongs to the technical field of functional food raw materials. The method comprises the following steps: mixing a quinoa base material (quinoa bran powder and / or quinoa flour) with water to prepare slurry with the solid content of 10-40% (w / w); carrying out heating and gelatinization treatment on the slurry at 75-100 DEG C for 5-60 minutes, and then cooling to 30-45 DEG C; lactic acid bacteria are inoculated for fermentation, the fermentation temperature is 25-45 DEG C, the fermentation time is 4-48 h, and the pH value at the fermentation end point is controlled to be 3.6-4.6; after the fermentation is finished, carrying out inactivation treatment on a fermentation product at 70-100 DEG C for 1-60 minutes; and drying in a spray drying or freeze-drying manner to obtain the fermented quinoa post-raw powder, wherein the water content of the obtained powder is less than or equal to 10%. According to the method disclosed by the invention, the cereal raw taste and the coarse flour feeling of the quinoa powder can be remarkably improved, the brewing dispersity is improved, the sedimentation is reduced, and the post-prebiotics base powder raw material suitable for normal-temperature storage and development of downstream solid beverages, nutrition powder and other products is obtained.

The invention discloses an interaction method, an interaction device and an interaction system of refrigeration equipment and the refrigeration equipment, and belongs to the technical field of refrigeration equipment. The interaction method of the refrigeration equipment comprises the steps that interaction data of a user and the refrigeration equipment are obtained, the interaction data at least comprise image interaction data and voice interaction data, and food material storing and taking position information of the refrigeration equipment is obtained; extracting image feature information of the image interaction data, and inputting the image feature information and the food material access position information into the visual large model to obtain a first interaction result output by the visual large model; extracting first voice feature information of the voice interaction data, and inputting the first voice feature information into the large voice model to obtain a second interaction result output by the large voice model; and outputting target interaction information based on the first interaction result and the second interaction result. The intention and the demand of the user can be more comprehensively understood, so that the interaction accuracy is improved.

The invention discloses a cooking machine heating and stir-frying structure based on intelligent sensing monitoring, and relates to the technical field of intelligent kitchen equipment.The cooking machine heating and stir-frying structure comprises a machine table, a frying pan installed on the machine table, a heating layer, a mechanical cooking assembly, a non-contact infrared thermal imaging device and a controller, and the heating layer is attached to the outer wall of the frying pan; electric heating wires and variable-frequency vibrators which are uniformly distributed are arranged in the mechanical cooking assembly, and the mechanical cooking assembly comprises a mechanical arm with a humidity sensor and a spatula with a contact type temperature sensor. By integrating contact type and non-contact type temperature sensing, humidity sensing and torque sensing, the controller can comprehensively sense the temperature, humidity distribution and stir-frying resistance of food materials in the pot in real time and control the electric heating wire, the variable-frequency vibrator and the mechanical arm in a linkage mode. According to the structure, the problems that an existing cooker is uneven in heating, insufficient in stir-frying and incapable of adapting to real-time state changes of food materials depending on a preset program are solved, accurate temperature control, self-adaptive stir-frying and intelligent cooking are achieved, and the taste and consistency of dishes are improved.

The utility model discloses an improved structure of a food processor, which comprises a feed cylinder and a cutter, the feed cylinder is provided with a feed port and a discharge port, the lower part of the feed cylinder is provided with a cutter seat, the cutter seat is provided with a discharge port communicated with the discharge port, the cutter is rotatably arranged on the cutter seat, and the cutter is provided with a feed port and a discharge port communicated with the discharge port. The cutter is provided with a first cutter section, the first cutter section is located above the discharge port, one side of the cutter is provided with a scraping piece, and one side of the scraping piece is close to the inner wall of the discharge port; according to the improved structure of the food processing machine, the scraping piece is additionally arranged on one side of the cutter, the scraping piece can conduct scraping operation on the inner wall of the discharging opening of the cutter base so that residues of food materials on the cutter base can be reduced, the residual food materials can be fully processed by follow-up procedures, and the processing effect is improved; in addition, the scraping piece is synchronously driven by the cutter to rotate, so that the scraping piece is easy to drive, and normal work of the cutter cannot be affected by the scraping piece.

The invention relates to the technical field of artificial intelligence and data processing, in particular to a food raw material quality grade automatic evaluation method based on machine learning, and the method comprises the steps: collecting component, process, environment and historical trend multi-source data, and firstly carrying out the dynamic grouping and condition standardization processing of the component data based on process relevance; carrying out tensor product-based interactive modeling and quality prior attention weighted fusion on the multi-modal features; and finally, combining a process perception attention mechanism and comprehensive boundary regularization loss to carry out quality grade prediction. The problems that in the prior art, static analysis neglects process dynamic influences, conventional standardization damages process-component association, multi-modal information fusion is insufficient, and component boundaries under process constraints cannot be perceived, so that evaluation is inaccurate are effectively solved. Accurate, stable and automatic grade evaluation of food raw material quality in a complex production environment is realized.

The invention relates to the technical field of biological preservation, in particular to a refrigerator food material preservation method and system based on a multi-modal decision dynamic weight mechanism, and the method comprises the steps: collecting multi-modal characteristic data of food materials; constructing a dynamic weight attention mechanism, and dynamically adjusting the fusion weight of each modal feature; combining a GNN graph neural network to construct a food material spoilage correlation graph, and outputting a spoilage risk prediction value at a t moment; an optimal fresh-keeping strategy combination is generated through multi-objective optimization; and processing real-time disturbance by adopting a model predictive control method and outputting a cooperative control signal. According to the method, the dynamic weight attention mechanism based on the food material category and the storage state is constructed to realize adaptive weight fusion of temperature, humidity, gas, weight and vision sensor modalities, so that the time sequence adaptability, the category specificity and the response sensitivity of multi-modal fusion are improved; and the contribution degree of the key sensor can be adaptively enhanced by the system in different scenes, and the corruption risk prediction precision is remarkably improved.

The invention provides an intelligent food material purchasing method and system based on deep learning, and relates to the technical field of data processing, and the method comprises the steps: employing a multi-strategy training algorithm to train a deep learning model through multi-dimensional historical data and food material consumption corresponding to the multi-dimensional historical data, obtaining a food material consumption prediction model, and obtaining a food material consumption prediction model; then, a food material consumption prediction model is dispatched to recognize the multi-dimensional real-time data, the food material consumption prediction amount can be more accurately obtained, the powerful feature extraction and nonlinear fitting capacity of the deep learning model is utilized, the complex mode and influence factors of food material consumption can be more accurately captured, and the food material consumption prediction amount can be more accurately obtained. Compared with a traditional method, the prediction precision is remarkably improved, finally, an intelligent food material purchasing plan is generated in combination with food material inventory data and food material consumption, the intelligent food material purchasing plan audited by workers is obtained, the intelligent food material purchasing plan is automatically generated, the workload of artificial experience judgment is reduced, and the efficiency is improved. And the purchasing process is more efficient and more scientific.

The invention discloses a tableware cleaning method, device and equipment and a storage medium. The method comprises the steps that when it is determined that washing is needed, the target stain degree of to-be-cleaned tableware is obtained, the target oil smoke concentration of the environment related to the to-be-cleaned tableware is obtained, and the target stain degree is determined according to the cooking mode of food materials related to the to-be-cleaned tableware; according to the target stain degree and the target oil smoke concentration, recommended washing parameters are determined, the recommended washing parameters comprise recommended washing water temperature and a recommended rotating speed of a spraying arm, the recommended washing water temperature is in direct proportion to the target stain degree, and the recommended rotating speed of the spraying arm is in direct proportion to the target oil smoke concentration; and cleaning the to-be-cleaned tableware according to the recommended washing parameters and the user instruction. The recommended washing parameters determined by the tableware washing method conform to the actual washing scene, and the situation that washing is not in place is avoided, so that the washing effect of tableware is improved.

The utility model provides an intelligent automatic continuous steaming machine, which belongs to the technical field of food processing, and comprises a feeding module provided with a food material feeding end and an inlet end box body, a first gas collecting hood arranged on the inlet end box body, and a first heat exchanger arranged in the first gas collecting hood; the discharging module is provided with a food material discharging end and an outlet end box body, a second gas collecting hood is arranged on the outlet end box body, and a second heat exchanger is arranged in the second gas collecting hood; the steaming module comprises a steaming chamber, and a water supplementing system and a steam system are arranged in the steaming chamber; the conveying module comprises a conveying mesh belt used for bearing cooked food materials, the water outlet end of the water supplementing system is located above the conveying mesh belt, and the air outlet end of the steam system is located between the upper side and the lower side of the conveying mesh belt. Through the cooperation of the water supplementing system and the steam system, the taste of rice is improved.

The invention discloses an intelligent conveying device, and belongs to the technical field of food production and processing. The device comprises a support, a plurality of bins for storing materials are arranged at the top of the support, a discharging mechanism is arranged at a discharging port of each bin, a material conveying mechanism is arranged below each discharging mechanism, and a lifting table is arranged beside the support. The discharging mechanism comprises a first rotary drum driven by a gear set, a second rotary drum and a plurality of third rotary drums with strip-shaped grooves, is used for quantitatively controlling discharging and is matched with a discharging box for temporary storage. The material conveying mechanism drives the hopper to receive and convey materials through the transverse moving device. The lifting platform adjusts the position of the external frying basket through the vertical moving device and the sliding plate so as to receive materials. According to the automatic feeding device, automatic and accurate conveying of food raw materials from storage to feeding is achieved, manual operation is effectively reduced, production efficiency and product consistency are improved, and the automatic feeding device is particularly suitable for the automatic processing flow of food such as chips in fast food restaurants.

The invention discloses a refrigerator and a fault maintenance method of a defrosting heater of the refrigerator, n pieces of operation data of a refrigerating system are input into a trained fault diagnosis model to output a fault diagnosis result of the defrosting heater, whether the defrosting heater breaks down or not does not need to be checked in a manual troubleshooting mode, and the fault diagnosis efficiency is improved. The refrigerator fault can be automatically diagnosed in real time. Besides, when the fault diagnosis result is that the defrosting heater breaks down, the chamber temperature of the storage chamber is reduced to the preset lowest temperature, food materials are prevented from being damaged due to the fact that the temperature rises too high during defrosting, the refrigerating system is controlled to stop refrigerating, a refrigerating air door is opened, air blowing defrosting operation is conducted on the evaporator, and the refrigerating efficiency is improved. The intelligent defrosting mode is started after the fault of the defrosting heater is diagnosed, so that the refrigerator can be normally defrosted when the fault of the defrosting heater is diagnosed, and the stable operation of the refrigerator can be maintained.

The utility model provides a baking tray assembly, a frying barrel assembly and an air fryer, and relates to the technical field of air fryers, the baking tray assembly comprises a baking tray, the baking tray comprises a bottom wall and a side wall surrounding the edge of the bottom wall, the bottom wall of the baking tray is provided with vent holes, and the horizontal height of the middle position of the bottom wall is higher than that of the edge position. The bottom wall is provided with first protruding parts and second protruding parts, the first protruding parts and the second protruding parts are in a protruding shape relative to the wall face of the bottom wall, the first protruding parts are arranged around the center of the baking tray at equal angles, and one second protruding part is arranged between at least one set of two adjacent first protruding parts. According to the baking tray assembly provided by the embodiment of the invention, the contact area between the hot air flow and the food materials can be effectively increased, so that the heating speed of the food materials is effectively increased, the cooking speed of the food materials is increased, the heating uniformity and consistency of the food materials can be effectively improved, and the cooking efficiency of the air fryer is effectively improved.