63 results about "Consumer" patented technology

The invention relates to the technical field of block chain food traceability, and discloses a block chain-based food traceability method and system, and the method comprises the steps: carrying out the timestamp processing of a batch number, a production date, a transportation temperature and storage humidity, and calculating a dynamic guarantee period to generate a traceability record; encrypting the batch number and the dynamic shelf life to generate a tamper-proof hash value; when the temperature and the humidity exceed threshold values, food state records are generated in combination with the Hash values; synchronizing the food state record to a supply chain node and performing consistency verification to obtain a shared data set; generating a credible two-dimensional code containing a batch number, a dynamic shelf life and a circulation record based on the shared data set; the consumer executes verification after scanning the code, extracts the shelf life field and the circulation information abstract, and compares the dynamic shelf life with the current time to generate a user interface; and consumer feedback is extracted, batch matching is verified through a timestamp, and a food traceability report is generated. The food state can be reflected in real time, data tampering is prevented, and traceability credibility is improved.

The invention discloses an intelligent identification and management system and method for key commodities of a vegetable basket, and relates to the technical field of computer processing, and the system comprises a multi-modal data collection and preprocessing module which is used for collecting commodity images, temperature and humidity curves, vibration frequencies and electronic quality inspection reports through Internet of Things equipment, the block chain technology is adopted to encrypt and store production batches and detection values; and the intelligent labeling and label generation module is used for performing instance segmentation on the commodity image, analyzing semantic information of the quality inspection report and generating a multi-level quality label. According to the invention, through a multi-modal data fusion and dynamic association analysis technology, image recognition, sensor data and text analysis are integrated, an intelligent supervision system covering a production-retail full link is constructed, and on the basis of an adversarial training mechanism and an edge cloud collaborative architecture, the production-retail full link is completely supervised. The real-time identification capability of complicated illegal behaviors such as water-injected meat, pesticide residue exceeding and label tampering is obviously improved, and the whole-process safety guarantee of livelihood commodities is enhanced.

The invention relates to the technical field of agricultural information, in particular to a product supplier and consumer matching method and system based on information axiom, and the method comprises the steps: recognizing the attributes of agricultural products; defining a system range and a design range for each attribute; for each matching scheme between the consumer and the supplier, checking whether all hard attributes are met or not, and if not, filtering out the matching scheme; for the soft attributes, calculating the information amount from the perspective of consumers and the perspective of suppliers: for the quantitative soft attributes, calculating the information amount according to the types of the quantitative soft attributes; for qualitative soft attributes, applying a fuzzy mathematical method, and then calculating information amount; respectively calculating the total information amount of the consumer perspective and the total information amount of the supplier perspective; establishing a multi-objective optimization model; for all possible matching schemes, calculating the total information amount of consumers and suppliers, and determining respective maximum values and minimum values; for each matching scheme, calculating a normalized membership function value by comparing the total information amount with the maximum value and the minimum value of all the matching schemes; the matching scheme enabling the weighted comprehensive score of the membership function to be the highest is selected. The invention provides an intelligent matching method which can comprehensively consider unique attributes, dynamic transaction demands and fuzzy language features of agricultural products, so as to optimize supply and demand matching and promote agricultural product sales and sustainable economic development.

The invention discloses a method for improving freeze-thaw stability of low-salt minced shrimps, and belongs to the field of food processing. The method for improving the freeze-thaw stability of the low-salt minced shrimps comprises the following steps: carrying out air chopping and salt chopping on shrimp meat to obtain minced shrimps; and then adding sodium alginate into the minced shrimps. According to the method, the freezing point of the low-salt minced prawn is remarkably reduced, the damage of ice crystal minced prawn protein is effectively prevented, and the oxidation of the protein in the freezing and thawing cycle process is delayed. In addition, the formed more stable three-dimensional network structure also delays the reduction of the water binding capacity of the minced shrimp gel; the method not only meets the requirements of consumers for healthy low-salt foods, but also solves the problem of easy quality deterioration of the traditional low-salt minced shrimps in frozen storage, and provides a new idea for the development of frozen minced products.

The cover body comprises a steam channel assembly, the steam channel assembly comprises a channel bottom plate, a channel top plate and a channel component, the channel component is arranged between the channel bottom plate and the channel top plate, a steam channel is defined by the channel component and the channel top plate, and the channel component forms a bottom wall with the steam channel; the channel component is integrally made of an elastic sealing material so as to abut against the channel top plate in a sealing manner; at least the channel bottom plate is detached from the cover body or installed to the cover body, and the channel top plate and the channel bottom plate can be separated so that the interior of the steam channel can be exposed; and the channel component is detachably connected with the channel bottom plate, so that the channel component can be independently detached after being detached from the cover body along with the channel bottom plate. According to the technical scheme, the channel component with the sealing performance is independently detached, the channel component can be independently cleaned, the positions such as the inner surface and the outer surface of the channel component can be comprehensively cleaned, dirt hiding and bacterium breeding at the position of the channel component can be avoided, and the use experience of consumers is improved.

The present invention provides a smart food freshness indicator film and its preparation method. The smart indicator film comprises montmorillonite, amino acids, pullulan, and anthocyanins. The unique composition of the smart indicator film allows for a longer indication period, helping consumers obtain more objective and accurate information about product freshness.

We provide the system. [Solution] A data acquisition method for obtaining actual animal-based food shape data, An artificial intelligence means having a generative model for generating the three-dimensional shape of alternative ingredients from acquired shape data and similar data, A three-dimensional printing method for forming alternative food ingredients three-dimensionally using plant-derived raw materials based on the generated three-dimensional shape, A data processing means for feeding back evaluation data obtained from consumers to the generation model, A system that includes this.

The embodiments of the present application provide a method, server, terminal and electronic device for online food risk control, which relate to the field of natural language technology. The method includes: obtaining comment text and keyword text, the keyword text including keywords corresponding to various attribution analysis results of food safety; inputting the comment text and keyword text into a pre-trained risk identification model, and obtaining the highest risk level of food safety of the comment text output by the risk identification model and the target attribution analysis results. Compared with the manual identification method of the prior art, the embodiments of the present application not only greatly improve the recognition efficiency, but also can accurately identify the attribution analysis results, laying the foundation for subsequent rapid early warning of high-risk food safety incidents, precise protection of consumer food safety complaints, and precise risk management of catering service providers.

The application discloses a food full-link quality deterioration tracing method and system, a medium and a product, and relates to the technical field of food quality tracing.The method is implemented, and a sensory description label in consumer feedback information is extracted by a tracing system; with the aid of a preset food quality knowledge graph, accurate mapping of subjective sensory information and objective physical and chemical indexes is realized, and the problem that subjective feedback and objective data are disconnected in a traditional tracing system is solved.The tracing system carries out dynamic deduction on food full-link monitoring data through a preset quality deterioration dynamics model, and upgrades food quality deterioration from static threshold judgment to dynamic numerical evolution track analysis, so that the cumulative deterioration effect of each circulation link can be quantified.The tracing system screens food quality deterioration responsibility links based on average deterioration rate and link deterioration increment, traces deterioration inducement of the responsibility links in combination with the preset food quality knowledge graph, accurately defines the deterioration responsibility and traces the reasons, and improves the tracing efficiency and accuracy.

Global food systems face a paradox: rising demand and widespread hunger coexist with massive food waste, especially fresh produce. Short shelf life, poor forecasting, and lack of transparency lead to unnecessary disposal, contributing to greenhouse gas emissions and sustainability challenges. Consumers also lack reliable information on freshness and nutritional value, further worsening waste. Hence, embodiments of present disclosure provide a method and system for traceability, quality assessment and end of life recommendations of a food item. Initially an image of the food item is captured and a machine-readable tag on the food item is scanned to retrieve traceability data. Then, using trained Visual Language and physics-based models, visual and biochemical features are analyzed to compute ripeness, shelf life, and freshness scores. Further, usage recommendations and end-of-life options are recommended, including recycling guidance for packaging and upcycling opportunities for leftovers. This integrated approach ensures transparency, optimizes consumption, and supports sustainability.

To increase consumer confidence in food products and enable consumers to select food products with peace of mind. [Solution] The product comprises a sample food product 1 and identification information 4 provided by the product provider, and the identification information 4 allows access to a website containing information about the quality of food product B and information about the evaluation of food product B.

The invention relates to the field of food processing, in particular to tussah pupa protein-based 3D / 4D printing slurry as well as a preparation method and application thereof, and the tussah pupa protein-based 3D / 4D printing slurry comprises the following components in percentage by mass: 5-20% of tussah pupa protein, 5-10% of link / arthropod protein, 0.1-10% of fungal polysaccharide, 0.1-10% of globular protein, 0-5% of nutritional natural colorant and the balance of water. The tussah pupa protein-based food produced by the 3D / 4D printer has the characteristics of individuation, functionalization, nutrition, innovation and the like, and can achieve special complexity and curved surface degree, so that the product is more attractive to consumers; in the transportation process, the unique shape can be effectively kept so as to reduce the risk of being damaged on a logistics chain line, and the application range is wide.

We provide the system. [Solution] Means of collecting consumer-related information, A means for analyzing the aforementioned consumer-related information and generating content based on consumer preferences, A means of translating the generated content into multiple languages, A means for optimizing the delivery route of the content translated into the aforementioned multiple languages, A means of promoting the trading of local specialty products using the generated content and suggesting purchases to consumers, A means of suggesting recipes or uses for local specialty products based on consumers' purchase history, A system that includes this.

The invention relates to the technical field of marine pollution traceability monitoring, in particular to a seafood pollution traceability method, device and equipment and a storage medium. A marine pollution diffusion model is constructed according to a preset diffusion law, the transportation node coordinates, the transfer node coordinates and the sales node coordinates; performing traceability analysis on the fishing node coordinates according to a marine pollution diffusion model to obtain pollution source point prediction coordinates; obtaining seafood pollution source tracing data according to the pollution source point prediction coordinates; and encrypting the seafood pollution source traceability data based on a preset elliptic curve data signature algorithm and a preset key dynamic generation rule to obtain block chain traceability data. Through building a supply chain network, tracing a pollution source by means of a diffusion model, integrating data to restore a pollution track, and encrypting a storage evidence to guarantee safety, full-process closed-loop management is realized, food safety is guaranteed, consumption trust is enhanced, and supervision and risk management levels are improved.

This invention relates to an efficient process designed to recycle materials from the food industry, preferably fisheries, such as materials extracted from fish skin, thereby enabling a universal, at least partially recyclable and sustainable process for consumer products, including bioplastic films.

The invention relates to the technical field of food processing, in particular to a low-salt pickling agent for inhibiting growth of microorganisms generating putrefying peculiar smell in ham and a method and application of the low-salt pickling agent, and the low-salt pickling agent comprises table salt, Nisin, epsilon-PL and chitosan. The compound preservative is prepared from Nisin, epsilon-PL and chitosan, and the compound preservative is added into a dry-cured meat block system for fermentation, so that the formula can completely inhibit the growth of putrefying bacteria, and meets the national regulations on the compound preservative. Due to the natural source and low toxicity of the additive, the additive is safer when being used in food, the requirements of consumers on natural and safe food are met, and the synergistic effect of the three can also play an effective antibacterial role at low concentration. The low-dosage use is beneficial to reducing the influence on the sensory quality (such as taste and color) of food, the natural flavor and taste of the food are kept, and the effect of prolonging the shelf life of the food is achieved.

We provide the system. [Solution] A means of obtaining inventory information and identifying unsold items, A means of generating cooking procedures based on identified unsold items, Means for providing the generated cooking procedure through a visual medium and a communication device, A means of collecting consumer input and improving cooking procedures, A means of obtaining and electronically displaying identification information of products, including unsold items, A system that includes this.

This invention relates to the field of blockchain food traceability technology, and discloses a blockchain-based food traceability method and system, comprising: timestamping batch number, production date, transportation temperature, and storage humidity, and calculating dynamic shelf life to generate traceability records; encrypting the batch number and dynamic shelf life to generate tamper-proof hash values; generating food status records by combining the hash values ​​when temperature and humidity exceed thresholds; synchronizing the food status records to supply chain nodes and performing consistency verification to obtain a shared dataset; generating a trusted QR code containing batch number, dynamic shelf life, and circulation records based on the shared dataset; performing verification after the consumer scans the code, extracting the shelf life field and circulation information summary, and comparing the dynamic shelf life with the current time to generate a user interface; extracting consumer feedback and verifying batch matching through timestamps to generate a food traceability report. This invention can reflect the food status in real time and prevent data tampering, improving the credibility of traceability.

The invention discloses a refrigeration treatment method of steamed stuffed buns, which comprises the following steps: making and cooking the stuffed buns, pre-cooling the stuffed buns in a vacuum pre-cooler until the centermost temperature of the stuffed buns reaches 20-50 DEG C, freezing the stuffed buns in a liquid nitrogen instant freezer until the centermost temperature of the stuffed buns reaches-18 DEG C or below, sealing and packaging the stuffed buns, and storing and transporting the stuffed buns at 0-4 DEG C. The quick cooling and freezing process can better maintain the texture and flavor of the steamed stuffed bun. During refrigeration, the hardness of the steamed stuffed bun is slowly increased, the elasticity is well kept, and the taste is soft; the increase of the total number of microbial colonies is effectively controlled, and the edible safety of the product is guaranteed. The cold storage shelf life of the pre-packaged steamed stuffed buns is prolonged to 3-4 weeks from the existing 1-2 weeks, so that the requirements of consumers on cold storage foods with longer shelf lives are met, and meanwhile, more sufficient time is provided for market circulation and sales of products.

A system is provided.SOLUTION: A system comprising: means for matching the demands of local producers and consumers; means for recommending sustainable production methods; means for optimizing refrigerated shipping routes; means for improving energy efficiency; means for promoting the introduction of eco-packaging materials; and means for providing environmental information to consumers.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of intelligent agriculture and ecological management, and relates to an intelligent agriculture ecological value implementation system and method based on data and business double closed loops. The system realizes ecological value conversion through a three-layer architecture: a basic resource layer integrates multi-source data with a block chain, big data AI and Internet of Things technologies to ensure credible data storage; the business application layer completes ecological restoration, carbon sink transaction and intelligent contract income distribution through a production management module, a value implementation module and a quantitative distribution module; and the consumer system broadens fund channels and feeds back production data through a marketization payment mechanism. According to the invention, through double-closed-loop operation of data flow and capital flow, a self-optimization mechanism of'treatment effect improvement-value increase-consumption enhancement-resource expansion 'is constructed, ecological treatment is converted from cost burden to a value engine, and a health nutrition chain from soil to dining tables is constructed; and a multi-element participated solution is provided for an ecological management project. And the method serves food safety, rural revitalization and double-carbon strategy.

The application discloses a meal taking cabinet cleaning control method and device and a meal taking cabinet. The method comprises the following steps: in response to a storage request, screening qualified storage areas and unqualified storage areas according to the storage state and oil stain condition of each area in the meal taking cabinet; detecting that the article storage is completed; cleaning all the unqualified storage areas and deodorizing and sterilizing the area where the article is stored. Through monitoring each area in the meal taking cabinet, the application realizes accurate, efficient and intelligent cleaning of the meal taking cabinet, reduces oil stains, bacteria, fungi, odor and the like in the meal taking cabinet, ensures that each area in the meal taking cabinet is clean and the odor is not mixed, solves the problem that the cleaning of the meal taking cabinet is not intelligent enough, timely eliminates food safety hazards, and provides a good meal taking environment for consumers.

This invention relates to the fields of ecoinformatics and ecosystem health assessment, and discloses a method and apparatus for constructing a food web. The method includes: acquiring carbon and nitrogen stable isotope data of biological samples from the area to be analyzed; identifying the dietary relationships between consumers and potential food sources based on the isotope data, and generating an initial dietary matrix; iteratively optimizing the dietary relationships in the initial dietary matrix based on a Bayesian mixture model to generate an optimized dietary matrix; and constructing a food web structure reflecting the energy flow relationships between species based on the optimized dietary matrix. This invention automatically identifies the dietary relationships between consumers and potential food sources and generates an initial dietary matrix by acquiring carbon and nitrogen stable isotope data, avoiding the subjectivity and workload of manually determining dietary relationships. By iteratively optimizing the initial dietary matrix using a Bayesian mixture model, secondary food sources are automatically eliminated, solving the problem of traditional methods lacking an iterative optimization mechanism in one-time calculations.

The present invention provides a multi-level trophic level marine ecosystem simulation device and simulation method, which belongs to the field of marine ecological simulation technology. The device can simulate different marine environments such as coastal, shallow sea, lagoon, hydrothermal vent, etc. by controlling equipment parameters. The method simulates the multi-level biological nutritional structure in different ecosystems by configuring the biological species and quantity of different producers, consumers and decomposers, and combines the environment and organisms to simulate the ecosystem, restore the actual situation in the field to the greatest extent, and realize comprehensive simulation of the ecosystem; at the same time, the cooperation of various devices such as water replenishment, temperature control, circulation, light control, and monitoring can maintain the stability of the ecosystem for a long time, providing stable simulation experimental conditions for quantitative research on marine ecology such as the interaction between organisms and the environment, and also providing experimental method support for achieving carbon neutrality and biodiversity protection.

The invention discloses a method for evaluating the quality of cultured takifugu obscurus and application, a key technical support is provided for quality grading and grading of the variety through a standardized process, and the method for evaluating the quality of high-quality cultured takifugu obscurus, which can be directly applied to practice, is constructed by focusing on deep combination of evaluation method construction and grading application in specific steps. As a core tool for realizing quality grading and grading of takifugu obscurus, products are graded and graded according to comprehensive scores. According to the method, the blank that a unified quality grading standard is lacked in the industry is filled, high-quality takifugu obscurus is preferably selected for consumers and dealers, and the consumer experience and the product credibility are improved. Meanwhile, the market benefits of high-quality takifugu obscurus can be improved for farmers, a good market form with high quality and high price is realized, and the added value and market competitiveness of products are further improved.

The invention relates to the field of intelligent fishery and ecological protection, in particular to a fish traceability and ecological monitoring method based on an RFID reader of the Internet of Things, which comprises a system body mainly composed of a fish identification tag, an RFID reader, a water quality sensor, a cloud data analysis platform and the like, and a fish traceability and ecological monitoring application method implemented based on the system body. Compared with the prior art, the system has the advantages that based on the RFID identification technology, water quality of a water area and fish in the water area are supervised, a reliable individual traceability tool is provided, the brand value of aquatic products and the credibility of consumers are improved, the functions of electronic fence and water quality monitoring are deeply integrated, the ecological management value of a project is enhanced, and in addition, the system has a good application prospect. And a new means for long-term, automatic and low-cost monitoring of fish population dynamics and evaluation of ecological restoration effect is provided for ecologists.

The application discloses a method for analyzing the influence of a gate dam on a river food web based on fatty acids and ecological network analysis. The method comprises the following steps: obtaining the nutrient structure of the river food web upstream and downstream of the gate dam and the measured results of fatty acids of various species through field sampling; determining the food resources and consumers of the food web through a classification library and a relationship library of nutritional groups; determining the number of nodes and the number of links between nodes in the ecological network diagram upstream and downstream of the gate dam; calculating the node size, the nutrient transmission efficiency and the interspecific energy flux in the ecological network diagram, determining the link width between nodes in the ecological network diagram, and drawing the ecological network diagram; calculating the total area of various types of nodes, the number of producer nodes and the number of consumer nodes of each nutritional group in the ecological network diagram upstream and downstream of the gate dam, and analyzing the influence of the gate dam on the key species and nutritional groups in the river food web and the influence of the gate dam on the stability and vulnerability of the river ecosystem food web.

The invention relates to the technical field of food processing, and discloses a method for preventing and controlling infectious microbe pollution in mango wine production and application, the method comprises the following steps: raw material pretreatment: selecting mangoes which are 80-90% mature and free of plant diseases and insect pests, cleaning the mangoes in flowing clear water for 5-10 minutes, then soaking the mangoes in an ozone aqueous solution (the ozone concentration is 20-30 mg / L) for 3-5 minutes, and taking out the mangoes; the method comprises the following steps: cleaning mangoes with water to remove dust, pesticide residues and part of microorganisms on the surfaces of the mangoes, then peeling and denucleating the mangoes, cutting the mangoes into small blocks with the side length of 1-2cm, and blanching the small blocks in hot water at 85-90 DEG C for 40-60 seconds to destroy the oxidase activity in the mangoes, prevent browning reaction, preliminarily kill the microorganisms on the surfaces and reduce the initial load of infectious microbes; according to the technical scheme, an innovative process flow and a natural antibacterial combination are used, so that the problem that infectious microbe pollution is difficult to control in the prior art is effectively solved, the quality and the safety of the mango wine are improved, and meanwhile, the requirements of consumers on natural and healthy foods are met.

The application discloses a kind of traceability and anti-fake system of intelligent cooking food box, including equipment terminal, for entering traceability information and writing information code with information parameter;Traceability data storage is connected with equipment terminal data;Logistics module is connected with traceability data storage data;Consumer terminal is connected with traceability data storage data;Management module is connected with consumer terminal and traceability data storage data.The application can track data to food box from processing, distribution and warehousing, and information query and comparison can be effectively realized in consumer terminal, so that product traceability and true-false identification can be effectively realized, so that users can better understand the origin and quality assurance of food material, improve brand trustworthiness, and have strong applicability.

The utility model relates to the technical field of household appliances, and discloses a cooking device with a visual identification device, which comprises a shell, a cooking cavity and the visual identification device, the cooking cavity and the visual identification device are arranged in the shell, the visual identification device comprises a camera module and a transmission structure, and the camera module is connected onto the transmission structure. The transmission structure is movably connected to the shell; wherein the visual recognition device is movably connected to the shell and arranged above the cooking cavity, and the camera module is arranged towards the inner side of the cooking cavity. According to the intelligent food cooking system, food in the cooking cavity is scanned through the camera, the type and the weight of the food are distinguished through the AI, the system can automatically judge and distribute the corresponding cooking temperature and time, the troubles that selection is difficult for consumers and different weights of different food are difficult to judge are reduced, and full-intelligent operation can be achieved.