107 results about "Smart kitchen" patented technology

The invention provides an intelligent cooking supervision optimization system based on digital twinning and a construction method, and solves the problems of insufficient whole-process supervision of a traditional kitchen, lagging of real-time early warning and difficulty in operation standardization. The system constructs a virtual model through high-precision modeling (geometry, physics, behaviors and rules); the whole stir-frying link is uniformly coded by using an industrial internet identification analysis technology, so that data tracking and tracing are realized; a real-time data acquisition, transmission and analysis mechanism is established, and seamless virtual-real mapping between physical equipment and a digital platform is realized; and a visual control interface is constructed to support ordering and remote control. A scheduling rehearsal mechanism based on an improved ant colony algorithm is innovatively proposed, multi-task multi-pot dish distribution scheduling is optimized, trial and error cost is reduced, and meal delivery efficiency and system stability are improved. The system provides support for digital and intelligent transformation of the catering industry, and improves food safety supervision and kitchen operation efficiency.

The invention provides a central intelligent kitchen full life cycle operation optimization method based on digital twinning, and relates to the technical field of intelligent kitchens, and the method comprises the steps: building a self-correction twinning model, and achieving the dynamic self-adaption of model parameters and structures; based on a multi-objective collaborative optimization algorithm, performing joint optimization on energy consumption, productivity and quality indexes; setting a trigger control logic in combination with the prediction deviation, the constraint conflict and the energy price change; a federal aggregation mechanism is adopted to realize unified updating of parameters and strategies among multiple sites, a global optimal strategy model is finally formed, and a collaborative optimal control scheme throughout construction, operation and maintenance stages is generated, so that dynamic optimal operation and full-life-cycle energy efficiency improvement of the central intelligent kitchen are realized. According to the method, the problems of staticizing of a digital twin model, simplification of an optimization target and insufficient multi-site collaboration in the prior art are solved.

The invention discloses a multi-device collaborative integrated kitchen management system, and relates to the technical field of intelligent kitchen control, and the system comprises the steps: analyzing an order or menu request into a task graph, building dependence, and adding a capability demand, resource mutual exclusion, a quality window, a risk level and migration window, and a check point strategy label for a task node; the edge arrangement gateway collects the equipment state, the resource occupation and the network health degree, and reschedules and generates a main plan and a shadow plan under the constraint of a rolling window and a freezing window; a main plan is converted into an intention type transaction to be issued, idempotent processing is carried out according to a transaction identifier, feeding, discharging and valve opening are carried out, token reservation-consumption is carried out, and account checking and verification are carried out; generating a process check point according to a check point strategy, and executing thermal migration, compensation or security degradation and account checking synchronization according to a migration window and a shadow plan when the process check point is abnormal; repeated actions and state drifting caused by re-delivery are reduced, and the stability of continuous meal delivery is guaranteed.

The invention relates to the technical field of intelligent kitchen utensils, and provides an intelligent stainless steel cabinet which comprises a stainless steel cabinet body, the surface of which is subjected to nano anti-fingerprint coating treatment; the image acquisition module is arranged in the top of the cabinet body and the door plate, comprises an infrared camera and a visible light camera, and is used for acquiring distribution images and cleanliness data of articles in the cabinet; the environment monitoring module is integrated with a temperature and humidity sensor and a VOC sensor and monitors environment parameters in the cabinet in real time; and the intelligent control unit is configured to calculate the cleanliness score SC in the cabinet through a convolutional neural network (CNN) model based on the data of the image acquisition module. Through the multi-spectral imaging and sensor fusion technology, quantitative evaluation of the cleanliness score Sc and the putrefaction index Rd is achieved, the detection precision is improved by 40% or above compared with a traditional scheme, environment reports and maintenance suggestions are pushed in real time through an APP, the user operation efficiency is improved by 60%, and the manual intervention frequency is reduced.

The invention relates to the technical field of digital information transmission, in particular to an intelligent kitchen household appliance networking control method and system based on the Internet of Things. The method comprises the following steps: initializing configuration of kitchen household appliances to obtain equipment communication configuration data; performing Mesh ad hoc network connection of kitchen household appliances based on the equipment communication configuration data to obtain relay type equipment network topology structure data; monitoring the operation state of kitchen household appliances in real time to obtain household appliance operation state data; acquiring input data of a user control terminal, and generating a target control instruction; according to the invention, by constructing a Mesh network ad hoc network communication mechanism and deploying multi-sensor real-time sensing and cloud cooperative control, the transmission stability, the control precision and the local emergency capability are improved, multi-device intelligent cooperation and state visualization are realized, and the interactive experience and security of the intelligent kitchen system are significantly enhanced.

The present disclosure is directed to methods, computer program products, and computer systems for instructing a robot to prepare a food dish by replacing the human chef's movements and actions. Monitoring a human chef is carried out in an instrumented application-specific setting, a standardized robotic kitchen in this instance, and involves using sensors and computers to watch, monitor, record and interpret the motions and actions of the human chef, in order to develop a robot-executable set of commands robust to variations and changes in the environment, capable of allowing a robotic or automated system in a robotic kitchen to prepare the same dish to the standards and quality as the dish prepared by the human chef.

This application discloses a control method, system, storage medium, and terminal device for a smart kitchen. The method includes a control device monitoring a target scene in which it is located; when the target scene includes a target user, the control device establishes a communication connection with each of the at least one kitchen device; the control device receives the operating status of the target kitchen device and outputs the operating status to the target user, wherein the target kitchen device is included within at least one kitchen device. This implementation uses the terminal device in the target user's scene as the control device, and connects the control device to each kitchen device to display the operating status of each kitchen device. This allows the user to quickly understand the operating status of each kitchen device even when not in the kitchen, facilitating user management of the kitchen devices and improving the security of the kitchen equipment.

This invention relates to F24 15 / 20, specifically to an intelligent kitchen fume extraction system. The intelligent kitchen fume extraction system includes a stove, a fume hood, a temperature sensor, a main control unit, a frequency converter, an electric fume extraction regulating valve, a fan unit, an electric air conditioning fresh air regulating valve, an air conditioning fan, and a power supply for the main control unit. The intelligent kitchen fume extraction system provided by this invention facilitates data monitoring by staff, improves kitchen ventilation while achieving high efficiency and energy saving. Furthermore, through the coordinated operation of multiple modules, this invention enhances kitchen comfort and effectively prevents malfunctions, ensuring stability and reliability.

The invention discloses an intelligent kitchen safety ventilation multi-mode alarm integrated system, relates to the technical field of intelligent kitchen safety ventilation and multi-mode alarm, and is used for solving the problem that online judgment and establishment of an effective dilution path cannot be realized when a kitchen and a guest and restaurant are regarded as single ventilation areas. In the installation stage, the pollution source solidification area, the transition area and the occupancy area are distributed in three areas, and processed data frames are output at a fixed sampling rhythm. The data fusion processing module is used for carrying out equivalence on the multi-channel quantity, constructing a partition situation map, and combining quantitative indexes such as partition synchronization amplitude, delay correlation and arrival order with fan and opening feedback to form situation classification; a path effectiveness quantitative index and a differential pressure agent estimator are provided, an effective dilution path is established under the fence, orientation and acceleration strategies, and high air volume is entered only when the standard is reached and the direction is correct. According to the system, a unique control instruction set is generated by adopting double-track judgment and consistency constraint, and trace audit and self-adaptive optimization are realized by anti-fact evaluation and risk scoring.

1. Name of the product in this design: Intelligent Kitchen Interactive Terminal. 2. Purpose of this design: A device for intelligently customizing recipes and remotely controlling kitchen appliances. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention relates to intelligent kitchen treatment equipment which comprises an ozone water generation module, a food residue recovery module and a grease recovery module. The ozone water generation module is used for generating ozone water; the food residue recycling module comprises a food residue feeding opening, a crusher for crushing kitchen waste food residues, a first screw extruder, a food residue soaking pool, a second screw extruder and a food residue particle collecting device, the first screw extruder extrudes the crushed food residues to separate the food residues from oil and water, and then the extruded food residues are disinfected and sterilized; the second screw extruder is used for extruding and dehydrating the disinfected food residue particles, and then the food residue particles are collected by the food residue particle collecting device; the grease recovery module comprises an oil-water separation device and a grease recovery device; the oil-water separation device is used for separating oil and water; and the grease recovery device is used for collecting grease from the oil-water separation device. The kitchen waste is treated and recycled, and the method has the advantages of resource utilization and environmental protection.

The invention belongs to the technical field of intelligent household appliances, and particularly relates to a range hood control method and device, a medium, a product and an intelligent range hood. According to the method, a negative pressure value in an intelligent kitchen is obtained, whether the negative pressure value is larger than a pressure threshold value or not is judged, and under the condition that the negative pressure value is larger than the pressure threshold value, operation parameters of the intelligent range hood are obtained; based on the operation parameters and the negative pressure value, adjusting parameters of the intelligent range hood are determined, and the intelligent range hood is controlled to operate according to the adjusting parameters. According to the method, the operation parameters of the range hood are dynamically adjusted in a non-intrusive mode to balance the negative pressure state in the intelligent kitchen, a physical air supplement device is not needed, fine control over operation of the intelligent range hood is further achieved, the accuracy of negative pressure balance is remarkably improved, the method is suitable for different kitchen use scenes, and the use experience of a user is improved.

The invention provides a cleaning system and an integrated cooking device, and belongs to the technical field of kitchen appliances. The cleaning system comprises a dish-washing machine cleaning system, a range hood cleaning system, a washing pump and a water distribution control valve, the dish-washing machine cleaning system comprises a dish-washing machine cleaning water pipeline used for providing cleaning water into a dish-washing machine; the range hood cleaning system comprises a range hood cleaning water pipeline used for providing cleaning water into a range hood; a water outlet of the washing pump is respectively connected with a dish-washing machine cleaning water pipeline and a range hood cleaning water pipeline through a water distribution control valve. The dish-washing machine and a range hood cleaning system are integrated in the same water path system, power is provided by the washing pump, the water distribution control valve flexibly distributes cleaning water, and collaborative cleaning is achieved. According to the structure, resource waste and space occupation are reduced, the integration level and control flexibility are improved, the cleaning efficiency and effect are improved through unified treatment such as pressurization, heating and filtering, maintenance is convenient, energy is saved, environment friendliness is achieved, and the development requirements of modern intelligent kitchen equipment are met.

The invention provides an intelligent kitchen equipment cooperative control communication method, and relates to the technical field of intelligent kitchen equipment cooperative control communication, and the method comprises the steps: calculating a basic node score of each piece of equipment through obtaining a resource configuration type, a resource configuration amount and historical work information of the equipment to be cooperatively controlled; the method comprises the steps of calculating a working stability coefficient of each device according to historical working information, calculating the communication quality between the devices according to the communication state between the devices in the historical working information, taking the communication quality as a node weight, constructing a task resource decomposition model, and obtaining a demand type, a demand quantity and a task instruction of each resource configuration distributed along with time. And calculating a node score according to the resource surplus, the basic node score, the node weight and the working stability coefficient of each device, determining a communication control node according to the node score and the duration of the node score, and sending a task control instruction according to the communication node.

This application relates to the field of waste disposal technology and discloses a waste disposer based on a smart kitchen, including a housing. A feed pipe is fixedly connected to the top of the housing, and a dredging mechanism is fixedly connected inside the feed pipe. A receiving pipe is fixedly connected to the bottom of the housing cavity, and a partition mechanism is fixedly connected inside the housing. Through the design of the dredging mechanism, the feed pipe is connected to the drain in the kitchen, allowing kitchen waste to be discharged into the housing through the feed pipe and then discharged to the outside through the receiving pipe. During this process, when waste becomes blocked inside the feed pipe, a tilting plate can be rotated to be perpendicular to the feed pipe, pulling a moving frame inside the frame plate. This moving frame causes the tilting plate to move downwards, pushing the blocked waste downwards during the movement, thus achieving the purpose of unblocking the waste. This helps ensure smooth waste discharge and makes the use more stable and safe.

1. Name of this design product: Smart Kitchen Faucet (Nova). 2. Purpose of this design: This design is mainly used to control and regulate the water flow, and to control, regulate and display the water temperature. 3. The key design feature of this product is its shape. 4. Images or photos that best illustrate the design highlights: Refer to Figure 1 for usage status.

The invention provides a central intelligent kitchen remote collaborative management method based on Internet of Things and edge computing, and relates to the technical field of intelligent kitchen management. The method comprises the steps of collecting task and resource states through each edge intelligent node, constructing a task classification and abstract data set, and generating a cross-kitchen task allocation, energy consumption optimization and food safety control scheme through a cloud management center in combination with a historical database. Each node realizes self-diagnosis and parameter sharing based on self-adaptive parameters, consistency verification is completed by using a lightweight distributed consensus mechanism, and a cloud side generates a visual remote management interface and a cooperative control result set according to the consistency verification, so that intelligent optimization and safe and efficient operation of a kitchen group level are realized. According to the invention, the problem that cross-kitchen intelligent cooperation and global efficient regulation and control are difficult to realize due to multi-node data inconsistency and cooperation delay of an existing central kitchen management system is solved.

The invention relates to the technical field of electric digital data processing, in particular to a smart kitchen multi-source heterogeneous monitoring data fusion processing method, which comprises the following steps of: acquiring real-time data of a door sensor array, an infrared sensor array, a temperature sensor array and a household appliance power sensor array deployed in a smart kitchen, and judging a kitchen current activity category corresponding to an event combination. According to the method, behavior characteristic information is constructed based on kitchen context state identification and multi-source sensing data, kitchen activity categories are formed in the dynamic event matching and state recognition process, semantic understanding of time sequence events is achieved, and precision loss caused by isolated judgment of single sensor data is avoided. A processing parameter row is selected by retrieving a mapping relation between a parameter matrix and a state identifier, and structured processing parameters are applied to a video data frame rate adjustment strategy, so that the adaptive capability of data stream processing is effectively improved, and the dynamic regulation and control capability of a system on data loads in different states is enhanced.

This application discloses a method and device for controlling the airflow of a smart kitchen appliance. The method includes: collecting pressure difference data and air velocity data within a target area corresponding to each air intake; determining the target local oil fume concentration and target local airflow direction for each air intake based on the pressure difference data and air velocity data; judging the overall oil fume source and distribution based on the target local oil fume concentration and target local airflow direction of all air intakes to obtain overall oil fume source and distribution information; and controlling several target air intakes based on the overall oil fume source location information and overall oil fume distribution information. The airflow control method for smart kitchen appliances provided by this application accurately judges the oil fume distribution and controls the air intakes by using pressure difference data and air velocity data from multiple air intakes, significantly reducing energy consumption and noise, and achieving highly efficient and energy-saving intelligent oil fume management.

The invention relates to the field of intelligent household appliances, and particularly discloses a stove and an intelligent kitchen appliance. The stove comprises a pot support, a controller and a prompter; each foot piece of the pot support comprises a supporting seat and a supporting rod which is connected to the upper end of the supporting seat and can vertically rotate relative to the supporting seat. A distance sensor, a pressure sensor, an electromagnetic device, a moving component and an elastic piece are arranged in the supporting seat, the electromagnetic device is used for leveling the supporting rod, and the pressure sensor detects the electromagnetic force of the electromagnetic device; the controller controls the output result of the prompter according to the detection results of the distance sensor and the pressure sensor so as to prompt a user to place the pot at the central position of the pot bracket; the controller further controls the electromagnetic force applied by the electromagnetic device according to the detection result of the distance sensor so as to level the supporting rod. According to the cooker, whether the pot is in the middle or not is intelligently judged through the controller of the pot support, and meanwhile the foot pieces are leveled through the electromagnetic device so that pot turning can be avoided in real time.

The invention discloses a ventilation linkage control method of an intelligent kitchen multi-risk monitoring system, relates to the technical field of intelligent kitchen environment safety and ventilation linkage control, and is used for solving the problems of inaccurate ventilation control and difficult consideration of energy consumption and comfort when risks of combustible gas, carbon monoxide, smog, oil fume, temperature and humidity and the like are superposed in a kitchen. The method comprises the following steps: analyzing the structure and working condition parameters of a target kitchen, determining a multi-level control threshold value of each monitoring quantity, carrying out online acquisition and filtering on the monitoring quantity in a preset sampling period, and constructing a dimensionless early warning ratio; extracting multi-factor working condition characteristics by using a working condition analysis window, adaptively judging working condition types, configuring corresponding ventilation parameters, and implementing linkage control on exhaust equipment, fresh air supplement and fuel gas cut-off in combination with three states of daily ventilation, early warning ventilation and emergency ventilation, so as to improve the safety and the energy-saving property in a multi-risk scene.

1. Name of this product design: Smart Kitchen Faucet (U-joy). 2. Purpose of this design: For intelligent control of water flow opening and closing and water temperature adjustment. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design.

The application relates to the technical field of smart home, and discloses a kind of intelligent kitchen fume exhaust fan hub control gateway system, comprising: fume exhaust fan device, built-in fume exhaust fan gateway and fume exhaust fan electric control board, fume exhaust fan electric control board communicates with fume exhaust fan gateway;Fume exhaust fan device connects kitchen equipment outside fume exhaust fan device, and kitchen equipment connects fume exhaust fan gateway through Wi-Fi or Bluetooth;Fume exhaust fan gateway communicates with cloud platform or intelligent terminal;Fume exhaust fan hub gateway mainly realizes the function of intelligent kitchen, can connect multiple sensors to monitor kitchen combustible gas leakage at the same time, and ensures user safety gas use.And, the priority of shutting down equipment can be controlled through algorithm.The fume exhaust fan device system of the application realizes the interconnection and intelligent linkage of various kitchen equipment, improves the safety and comfort of kitchen environment, simultaneously realizes diversified man-machine interaction mode, and greatly improves user experience.

The utility model provides an intelligent kitchen and an intelligent catering system. And the intelligent kitchen is used by the robot to cook food. The intelligent kitchen comprises a main body frame and a side dish cabinet. The main body frame encloses a closed workshop in the circumferential direction, so that the situation that consumers enter the workshop and work of the robot is affected is avoided. The workshops are annular and have no edges and corners, so that the collision risk is reduced; and the arc-shaped layout can also break through the engraving feeling of a square structure. The main body frame comprises a workbench provided with a cooking area and a meal taking area, and cooking utensils are placed in the cooking area and used by the robot; the meal taking area is used for placing cooked dishes; the vegetable cabinet is provided with a plurality of vegetable storage areas used for containing side dishes, the whole cooking process is completed by the robot, manual participation is not needed, the cost is saved, the whole cooking process is completed according to the set process, and the consistency of dishes can be guaranteed. A dish taking opening of the dish storage area is located in the inner side of the workshop, and the robot can take side dishes conveniently.

The application discloses a target recipe determination method and device, electronic equipment and an intelligent kitchen system. The method comprises the following steps: in response to a cooking instruction of a target object, obtaining an initial recipe set corresponding to the target object, target health information of the target object and an initial trunk part; each initial recipe is traversed in turn, and for the current initial recipe traversed, current object health information, a current trunk part and a current recipe load level of the current initial recipe are obtained; the target health information and the current object health information are subjected to health information matching processing to obtain a current health matching degree of the current initial recipe; the current load adaptation degree of the current initial recipe is determined according to the initial trunk part, a current trunk part corresponding to the current initial recipe and the current recipe load level; and the target recipe is determined according to the current health matching degree and the current load adaptation degree of the current initial recipe. The application reduces the fatigue degree of the target object in the cooking process.

The invention provides an automatic dish preparation and charging system for an unmanned intelligent kitchen, and relates to the technical field of intelligent kitchen automation, and the system comprises a cloud dish database, a dish scheduling and automatic dish supplement module, a dish preparation module, an automatic charging module, and a dish preparation task management module. The experimental group combines the same kind of pretreatment through the system, the cutting and matching time is shortened from 42 minutes to 28 minutes, the pickling time is shortened from 30 minutes to 18 minutes, the total consumed time is shortened from 72 minutes to 46 minutes, the improvement rate reaches 36%, and the scheduling and automatic dish supplementing module supports selection of dishes according to the dish sections and automatic generation of a scheduling plan. Food material requirements are automatically calculated, and an inventory management system is docked in real time. The automatic feeding system adopts a flow sensor and a weight sensor to calibrate and control feeding errors.

The invention relates to the technical field of information processing, and particularly discloses an order sorting control system for an unmanned intelligent kitchen, and the system comprises an automatic order receiving module which is used for obtaining order information of different channels, and carrying out the integration of all order information, and obtaining an integrated order list; the order analysis module is used for obtaining multiple pieces of dish cooking information according to the integrated order list, merging the same dish names in the dish cooking information to obtain dish cooking merging information, and obtaining dish arrangement cooking information according to the dish cooking merging information; and an order ordering module. According to the invention, multi-channel orders are integrated through the automatic order receiving module, information dispersion and chaos are avoided, a foundation is laid for subsequent processes, and the convenience and efficiency of order management are improved.

It is provided that an intelligent cooking method and apparatus, an electronic device, a storage medium, and a program product. The method includes: obtaining user portrait data, food material information, and dietary preference information (S310); determining target cooking materials, target cooking steps, and target cooking parameters according to the user portrait data, the food material information, and the dietary preference information (S320); and controlling a target intelligent kitchen utensil to execute the target cooking steps to cook the target cooking materials according to the target cooking parameters (S330).

This invention discloses a method and system for recognizing gas usage behavior based on temperature time-series data and an LSTM network, belonging to the field of intelligent detection and pattern recognition technology for combustible gases. The invention constructs an LSTM network model comprising a multi-scale feature encoding layer, a first LSTM layer, a second LSTM layer, an adaptive gated attention layer, and a feature fusion layer. Multi-scale feature encoding is used to simultaneously capture details and macroscopic trends of temperature changes. A gating mechanism is used to dynamically suppress noise and focus on key time steps in the hidden state vector output by the LSTM layer. The purified deep features are then fused with temperature time-series engineering features for gas usage behavior classification. This invention achieves high-precision real-time recognition of various gas usage behaviors, such as turning on / off the stove, adding food, stir-frying, adding water, and simmering, using only a single temperature sensor and fully protecting privacy. It can be applied to the linkage control of intelligent kitchen equipment.

1. Name of the product in this design: Seasoning supply robot (intelligent kitchen). 2. Purpose of this design: for storing and quantitatively dispensing seasonings. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.