99 results about "Food management" patented technology

The invention discloses a food production traceability management system based on a block chain, which belongs to the field of food management systems, and is characterized in that a unique identifier ID of an inheritor is generated based on an SHA-256 Hash algorithm, a Merkle tree root Hash value of food production data is dynamically associated, a non-tampering digital identity file is constructed, a data island of traditional decentralized management is broken through, and the traceability of food production is improved. According to the technical scheme, full-chain credible association between the non-abandoned technology and the production process is ensured, validity of an electronic signature is automatically verified by means of an intelligent contract, data tampering or identity failure risks are recognized in real time by comparing a public key decryption result with a signature hash value, JSON format alarms are pushed by means of Apache Kafka message middleware, cross-department collaborative response is achieved, and the security and reliability of the electronic signature are improved. The risk prevention and control efficiency is remarkably improved, encryption signature is performed in combination with an ECDSA key pair of a hardware security module, strong binding of an inheritor identifier, a production batch and equipment is ensured, identity fraudulent use or qualification counterfeiting is prevented, and traceability of the whole life cycle of non-abandoned skill inheritance is achieved.

The invention discloses a risk early warning method based on a food operation risk information base. The risk early warning method relates to the technical field of food safety data processing, and comprises the following steps: inputting food operation data; constructing a food operation risk information base; constructing a risk prediction model; and optimizing the model and adjusting and optimizing parameters. The food management data in the food management process are collected in real time and risk assessment is carried out, the food management risk information base is constructed according to the risk assessment result, the risk prediction model is constructed according to the risk early warning demand, and the performance of the constructed risk prediction model is assessed according to the cross validation method. And finally, performing model optimization on the constructed risk prediction model according to a performance evaluation result, and performing parameter optimization by using a Bayesian optimization method, thereby achieving an effect of improving the operation risk prediction precision in the food operation process, and solving a problem of low operation risk prediction precision in the food operation process in the prior art.

The invention discloses a unique identification management system for food production, belongs to the field of food management, and constructs an innovative solution with high safety, high identification degree and high credibility in the field of food identification through a technical closed loop of artistic design, multi-source data fusion, multistage anti-counterfeiting collaboration and block chain credible evidence storage. And powerful technical support is provided for brand protection, anti-counterfeiting traceability and consumer trust establishment in the food industry.

The invention discloses an intelligent grain supply and demand management method and system based on big data, and relates to the technical field of grain supply and demand management. According to the intelligent grain supply and demand management method and system based on big data, multi-source heterogeneous data is obtained through an Internet of Things sensor and a block chain technology, and the accuracy and integrity of the data are ensured; the method comprises the following steps: constructing a grain supply and demand information network, modeling multi-source data by using a graph neural network, analyzing the relevance between the data, and dynamically updating the connection strength; performing abnormal mode identification on the constructed relevance model through an adaptive ensemble learning algorithm, generating a supply and demand fluctuation index, detecting an abnormal node of supply and demand fluctuation, and identifying key factors influencing supply and demand balance; and adjusting the grain supply and demand balance state according to the key factors through a reinforcement learning algorithm to realize dynamic optimization and real-time balance of the supply and demand relationship. Intelligent and efficient decision support is provided for a grain management department, and grain safety and stability are guaranteed in an assisted mode.

The invention provides a food storage early warning method and system based on artificial intelligence. The method comprises the following steps: acquiring an internal shot image of a target refrigerator, a multi-source sensing signal and the putting time of each food; performing image denoising and enhancement processing on the internal shot image to obtain a pre-processed image; performing image recognition according to the preprocessed image to obtain food information of each type of food; the food information comprises food types, food numbers and food colors; performing signal analysis on the multi-source sensing signal to obtain temperature information, humidity information and gas information; inputting the putting time, the temperature information, the humidity information, the gas information and the food information into a preset food freshness prediction model to obtain a prediction result; and performing early warning according to the prediction result. The food freshness can be intelligently monitored, early warning can be given out in time, and therefore food waste is effectively reduced, and the food management efficiency and safety are improved.

The invention discloses an intelligent management system and method for a food detection sample, and relates to the technical field of food management, and the method achieves the real-time collection and dynamic perception of multi-source smell diffusion data such as smell diffusion data through setting a plurality of data collection points in a target area of a food detection storage environment. And after the sample management center platform receives the data transmitted by each data acquisition point, high-precision alignment and dimensionless integration of the data are realized through preprocessing. The processing flow effectively eliminates the influence of sensing error, time drift and unit dimension difference, and ensures the comparability and consistency of smell data between samples. Therefore, compared with a traditional monitoring mode only depending on a single-point gas sensor, the storage smell dynamic monitoring system has the advantages that the'smell basic data set 'of the sample can be constructed in a software algorithm mode, and the storage smell dynamic monitoring system with low hardware dependence, uniform data standard and higher calculation precision is realized.

The invention relates to the technical field of food management, and discloses a household food consumption intelligent management method, system and device based on image recognition and user behavior analysis and a medium, and the method comprises the steps: collecting an image of food stored in a refrigerator, recognizing and detecting the food, determining the storage position of the food, and evaluating the storage period of the food; historical food consumption data of a user is obtained, user behaviors are analyzed, and user behavior preference features are extracted; food consumption recommendation is carried out on the user, and a recommended dish recipe is generated; consumption prediction is conducted on food in the refrigerator, and a food purchasing list is generated. According to the invention, precise food management and decay risk control can be provided, food material types and freshness are monitored in real time through image recognition, the food freshness is evaluated in real time, the remaining fresh-keeping period is predicted, personalized user experience is improved, food is recommended by fusing user preferences, the matching degree with actual demands of users is improved, and the user experience is improved. The resource utilization efficiency is improved, the cost is saved, and a personalized purchase list is automatically generated.

A system is provided.SOLUTION: This food management device is provided with a means for recognizing the kind, quantity and best-before date of food, a means for transmitting the recognized food data, a means for preserving the transmitted data and tracking the best-before date or preservation period, a means for generating a recipe based on the taste, physical condition, season, weather and economical conditions of a user, and a means for transmitting the generated recipe. The system includes a notification means, a means for confirming a deficient food material and automatically placing an order, a means for analyzing the nutrition balance of the user and generating advice for supporting healthy eating habits, a means for transmitting the generated advice, and a means for collecting the feedback of the user and updating data.SELECTED DRAWING: Figure 1

A food management system according to the present disclosure may comprise: a plurality of electrodes spaced apart from each other; a first power source supply unit for supplying, to the plurality of electrodes, a power source of a first RF frequency for thawing food; a second power source supply unit for supplying, to the plurality of electrodes, a power source of a second RF frequency, which is different from the first RF frequency and is for determining whether the food has been completely thawed; and at least one processor for determining, on the basis of a change in the amount of power consumed in the food by the power source of the second RF frequency during the food thawing, whether the food has been completely thawed.

A system to store food products within a heated compartment is provided. The system includes an enclosure that receives stacked trays, and an elevator to lift trays to a position to receive a plurality of food products from a conveyor or another source. A fork may be provided that receives a cooked food product thereon and rotates to allow the cooked food product to fall into the positioned tray while being maintained in a horizontal manner.

The invention discloses a visual interaction system and method for food material management and storage equipment, and belongs to the technical field of household appliances. The system comprises a user interaction module used for receiving a first input of a user to a target three-dimensional model in a display interface; and the response module is used for responding to the first input, executing an operation action and displaying the three-dimensional model corresponding to each food material to the user. According to the method, the three-dimensional model of the food material is rendered into the three-dimensional model of the storage equipment according to the storage cabin and the physical size of the food material, and the three-dimensional model corresponding to the food material is displayed to the user according to the first input of the operation actions (such as rotation, translation and zooming) of the user on the three-dimensional model of the storage equipment. Therefore, the user can visually and clearly see the position and the state of the food material through interaction with the display interface, and the interaction experience of the user is improved.

The invention discloses a refrigerator. Relates to the technical field of household appliances. The refrigerator comprises an inner container, a vacuum drawer, a weight detection part, a camera module, a magnetic field device and a control part. The control part is configured to obtain the weight change of the food material in a first preset time period; when the weight change of the food material is greater than a first preset value, obtaining the type, weight and volume of the food material in the accommodating cavity; determining a magnetic field intensity interval of the vacuum drawer according to the type, weight and volume of the food materials; when the weight change of the food material is smaller than or equal to a first preset value, the type of the food material in the containing cavity is obtained, and the weight change of the food material in a second preset time period is obtained; determining the fresh state of the food material according to the weight change of the food material in the second preset time period; according to the fresh state of the food materials, the vacuum degree interval and the magnetic field intensity interval of the vacuum drawer are determined; according to the refrigerator, the refreshing time of the food materials is prolonged, waste of the food materials is reduced, and convenient food material management experience is provided for a user.

The application provides a food material management module and a refrigerator, wherein the food material management module comprises: a preset identification device access position; an identification device which can be accessed at the preset identification device access position; a color sensor configured to collect identification color information of the identification device; an access state detection module configured to detect identification device access state information; a storage module configured to store food material information associated with the identification color information; a processing module connected to the color sensor, the access state detection module and the storage module, and configured to obtain the access state information; and when the access state information changes, the processing module is configured to obtain the identification color information and the food material information associated with the identification color information, and manage the food material information associated with the identification color information according to the access state information to generate food material storage data.

The present invention provides a food material management method for a refrigerator and a refrigerator. The food material management method comprises: obtaining the storage quantity of one or more food materials in the refrigerator, obtaining the consumption quantity of each of the food materials in each meal or each day, and prompting a user to put the food materials into storage rooms with different storage temperatures according to the storage quantity of each of the food materials and the consumption quantity in each meal or each day.

The embodiment of the invention provides a refrigerator control method and device, a refrigerator and a medium. The method comprises the steps that a task instruction sent by a user terminal of a first user is received; determining a second user receiving the task instruction, and opening the temporary authority of using the object lattice of the first user for the second user, or opening the temporary authority of using the object lattice of the second user for the first user; and after identifying that the second user or the first user executes the task instruction, automatically closing the temporary authority of the corresponding user. According to the embodiment of the invention, the control of the authority of the object grids in the refrigerator under the multi-user scene is realized, and the user can temporarily use the object grids of other users according to the requirements or allow other users to temporarily use the own object grids, so that the user requirements are met, the safety of food material management and the user privacy can be effectively guaranteed, and the user experience is improved. And the use convenience and intelligent experience of the refrigerator are improved.

A food management system includes a cabinet having a chamber, a hoist, and a catapult. The chamber is partially defined by a front wall that includes a chute that defines a first end along a dispensing region of the cabinet. At least one elevator is disposed within the chamber and is configured to receive a plurality of containers therein. The elevator is operable to sequentially present at least one of the containers to a dispensing area of the cabinet. A catapult includes a bumper disposed within the distribution region. A bumper is operable to translate through the dispensing region from a retracted position on an opposite side of the at least one elevator from the chute to an extended position between the retracted position and the chute to bias at least one of the containers from the at least one elevator through the chute.

A system to store food products within a heated compartment is provided. The system includes an enclosure that receives stacked trays, and an elevator to lift trays to a position to receive a plurality of food products from a conveyor or another source. A fork may be provided that receives a cooked food product thereon and rotates to allow the cooked food product to fall into the positioned tray while being maintained in a horizontal manner. A shuttle moves a full tray into a heated compartment.

A food management system includes a cabinet having a chamber, an elevator, and an ejector. The chamber is partially defined by a front wall, the front wall including a chute, the chute defining a first end of a dispensing area along the cabinet. At least one elevator is disposed within the chamber and is configured to receive a plurality of containers therein. The elevator is operable to sequentially present at least one of the containers to the dispensing area of ​​the cabinet. The ejector includes a buffer disposed within the dispensing area. The buffer is operable to translate through the dispensing area from a retracted position on a side of the at least one elevator opposite the chute to an extended position between the retracted position and the chute to bias at least one of the containers from the at least one elevator through the chute.

To manage foodstuff stored in a vegetable chamber where an upper stage and a lower stage are divided on the basis of a photographed image from an upper surface of the vegetable chamber of a refrigerator.SOLUTION: During a period when a door 11 is opened, an image of a vegetable chamber 10 divided into an upper stage 15 and a lower stage 16 by a partitioned tray 12 is photographed with a camera 21 provided for an upper part of a refrigerator 5. When the opening value of the partitioned tray 12 and existence information of a plurality of predetermined vegetable items in an image in the image are acquired by performing image processing of the photographed image by the camera 21, it is determined whether the image is that of the upper stage 15 or the lower stage 16 on the basis of the opening value. Respective stock data of the upper stage 15 and the lower stage 16 are updated by using the determination result of the upper stage 15 or the lower stage 16 and existence information of the respective vegetable items, and purchase dates of the respective vegetable items are stored on the basis of the photographing date of the image when the existence information is updated.SELECTED DRAWING: Figure 3

1. Name of this design product: 3D food management graphical user interface for electronic devices. 2. Application of this design product: for electronic equipment. 3. The key design point of this design product lies in the graphical user interface. 4. The picture or photo that best illustrates the design points: interface change state diagram. 5. Conventional design, omitting rear view, elevation view, left and right view. 6. Application of the graphical user interface: 3D food management graphical user interface for electronic devices. The main view is the interface display for ingredient management. Click "Delete Ingredients" in the main view to enter the interface change status diagram. Users can click on the ingredient picture and check the ingredients they want to delete.

The invention discloses an interaction method, device and system with autonomous learning and generation capabilities, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring multi-modal data; the multi-modal data at least comprises internal data associated with the refrigeration equipment and external data interacted with the refrigeration equipment; performing fine tuning on the pre-training language model based on the multi-modal data to obtain a pre-training language model after fine tuning; and training the pre-training language model after fine tuning by adopting a reinforcement learning algorithm based on human feedback to obtain a large-scale language model so as to facilitate interaction by using the large-scale language model. According to the embodiment of the invention, by combining the multi-modal data, autonomous learning can be realized, and the self decision process can be continuously optimized, so as to better meet user requirements and adapt to complex and variable use situations, improve the processing capability of the model on tasks such as refrigeration equipment food material management, enable the model to be more accurate in output, and improve the user experience. And the user interaction experience is obviously improved.

The present invention discloses a method for managing marine foods based on big data. The method includes obtaining original data for marine food management, refining the original data, constructing a marine food detection model, optimizing the detection model, and dual-sided detection management of marine foods. The present invention relates to the technical field of data processing for marine food quality management, and specifically refers to a method for managing marine foods based on big data. This solution innovatively introduces a dual-sided detection method, effectively capturing potential impurities on both sides and improving the accuracy of marine food detection; designing an activation function for marine food detection and a loss function for the value grading model, solving the limitations in dealing with complex features and high-value food detection, and improving the detection accuracy and intelligent management level of marine foods; improving the algorithm for obtaining detection model parameters through calculating the individual difference distance of search individuals and the collaborative exploration strategy, obtaining the optimal parameter values and adjusting the model hyperparameters, and enhancing the accuracy of the model output results.

A food management method includes acquiring an image captured by imaging, using an imaging element, food or a storage container to which a food management tag including an identifier associated with the food is attached, and the storage container stores the food. The food management method includes recognizing, based on the image acquired, the food or the storage container to which the food management tag is attached. The food management method includes estimating the remaining amount of the food based on the size of the food management tag recognized. The food management method includes outputting remaining amount information related to the remaining amount of the food that has been estimated.

Some embodiments of the present application disclose a refrigerator and a food management method, wherein the refrigerator includes: a cabinet, a storage chamber, cabinet doors, a display screen, and a controller; the controller is configured to: when the switch state of at least one cabinet door changes, determine the target operation cabinet door according to the switch state change of the cabinet door; determine the target storage chamber according to the target operation cabinet door; when the switch state of all cabinet doors changes to the closed state, obtain a first information set; compare the first information set with the second information set to determine the target tag to be placed in the storage chamber; display the food management interface, in which the storage location of the food identified by the target tag is the target storage chamber.

The invention relates to the technical field of food management, and discloses an intelligent food management method based on the Internet of Things technology, which comprises the following steps: step 1, obtaining a unique identifier of a food batch and creating a time temperature account book at a warehousing read-write point; 2, temperature, humidity and gas indication values are collected, and accumulated quality guarantee consumption is calculated; 3, determining the remaining shelf life according to the nominal shelf life and the accumulated shelf life consumption, and generating a service mapping matrix; step 4, performing deterministic constraint solution based on the order demand, the inventory quantity and the business mapping matrix to obtain a distribution list; 5, generating an execution token containing a batch unique identifier list and a task cut-off moment according to the distribution list; step 6, updating the quality guarantee state and recording abnormal information; and step 7, after arrival, quality guarantee checking is carried out, a traceable report is generated, and offline updating is carried out on the grading threshold. According to the invention, integrated management and control and whole-process traceable management of distribution execution of food from warehousing to arrival are realized.

This system provides advanced vital sign management services for the elderly, along with nutritional and food management, to improve their health, enhance their quality of life, and provide a planned and continuous nutritional management system necessary for extending their healthy lifespan. [Solution] The nutrition management system of this invention comprises a data server 22 that stores health status information D3, including vital signs and other health information of elderly people, acquired at elderly support facilities in shopping districts, and a communication unit 24 that communicates with a terminal 40 connected to the data server 22 via a public communication line 30. The data server 22 stores nutrition management information and / or food management information based on the health status information D3 and information from elderly people obtained via the public communication line. When an elderly person sends a request to the communication unit 24 for information to be provided in order to perform nutrition management, the data server 22 performs a process to provide the information to the terminal 40 from the information stored in the data server 22.

The present invention discloses a method, device and refrigerator for managing food materials, the method comprising: after receiving an instruction to print a label, taking an image of a refrigerator area and detecting food materials; for each new food material detected, identifying and recording the name of each new food material one by one, wherein the new food material refers to food materials without a label; printing a label for each new food material, the label comprising a QR code and text recording the name of the corresponding new food material and the current date. Compared with the prior art, the food material management method of the present invention obtains the food material name by identifying the food material, and then prints the food material name and storage date in the form of a label, which is pasted on the top of the corresponding food material, so that the computer and the user can obtain the food material name and the storage time of the refrigerator through the label, which is convenient for the computer and the user to manage the food material.

The invention discloses a refrigerator and a food material bar code input method thereof, which are characterized in that character recognition and bar code recognition are carried out on private bar codes printed on supermarkets and supermarkets, recognized food material characters and recognized bar codes are automatically uploaded to a refrigerator food material management system, and food materials are associated with the bar codes, so that food material input of the private bar codes of different supermarkets and supermarkets is realized.

The invention relates to the technical field of cold chain food management, and discloses a cold chain food material identification method and system based on image processing, and the system comprises a data collection module and a data identification module. The identification method comprises the following steps: step 1, a data acquisition module reads a bar code of a cold chain food material through a bar code reader; 2, a data acquisition module acquires an image through a high-definition camera; 3, a data acquisition module is connected with a database through a network to acquire a reference data set; step 4, the data identification module analyzes and calculates the safety score Aqpf of the cold-chain food material; 5, the data identification module generates a residual block Cck and introduces a ResNet algorithm model, and deep learning keeps original features, so that the identification precision is higher; step 6, analyzing and calculating a quality score Zlpf of the cold-chain food materials according to the image data set; 7, the data identification module carries out classification marking, then food material management is carried out, multi-dimensional identification is not prone to wrong judgment or missing judgment, and the processing efficiency is high.

The invention relates to the related technical field of material arranging, and discloses a full-automatic card arranging device and a card arranging method.The full-automatic card arranging device comprises a support assembly, a discharging and pushing assembly and a jacking assembly, the support assembly comprises a first support and a second support, the first support is provided with a feeding end, and the second support comprises a buffering area and a pushing area; the discharging and pushing assembly is used for pushing materials in the first support into the cache area, feeding can be continued after the materials on the first support are pushed out, the jacking assembly comprises a material arranging structure, a lifting structure and a material pushing structure, the material arranging structure is used for conveying the materials in the cache area into the material pushing area, and the lifting structure is used for conveying the materials in the material pushing area out of the range of the second support. The mechanisms are matched with one another, smooth operation is achieved, the material arranging step is divided into a plurality of small steps, all the steps are independently and orderly carried out, continuous feeding can be achieved in the material arranging and boxing process, and the material arranging rhythm is accelerated.