56 results about "Food supply" patented technology

The invention relates to the technical field of food safety tracing and early warning, and discloses a food safety whole-course tracing and risk early warning system based on big data analysis, and the system comprises a causal map construction module which constructs a causal knowledge map of a food supply chain; the risk function modeling module is used for establishing a risk transfer function for the causal relationship edge; the risk potential energy calculation module is used for calculating the total risk potential energy value of each entity node in the graph; the risk early warning and causal tracing module is used for monitoring the risk and early warning, and reversely tracing the key causal chain; the intervention strategy generation module is used for simulating and evaluating intervention actions and generating an optimal blocking strategy; and the system interaction presentation module is used for visually presenting maps, risks, causal chains and strategies. The food safety risk is converted into a quantifiable data index by calculating the dynamic total risk potential energy value of the entity node, and the potential risk accumulation process is recognized in advance by monitoring the real-time change and development trend of the risk potential energy, so that the conversion from passive response to active prevention is realized.

The invention discloses a trusted data tracing system and method for a prefabricated dish supply chain. The system comprises an edge data acquisition module, an equipment authentication module, an off-chain storage module, an on-chain evidence storage module, a privacy verification module and an intelligent contract execution module. And the edge data acquisition module obtains state data of the prefabricated dishes at the service node and generates an event log. And the equipment authentication module distributes an equipment identity label and performs digital signature on the event log. And the under-chain storage module encrypts the signature log, stores the encrypted signature log into a distributed file system, and generates a content identifier. And the on-chain evidence storage module writes the content identifier, the device identity identifier, the timestamp and the event type code into the alliance block chain. And the privacy verification module responds to the verification request, extracts numerical parameters, generates zero-knowledge proof located in a preset interval, and submits the zero-knowledge proof to the alliance block chain for verification. And the intelligent contract execution module executes business rule logic, and triggers state judgment or abnormal marking based on an on-chain event.

The invention discloses a big data-based supply management method and system and a storage medium, and the method comprises the steps: obtaining supply chain order big data, carrying out the data classification of the supply chain order big data based on a support vector machine, carrying out the data fluctuation analysis of the obtained food supply data, obtaining a data fluctuation curve, and carrying out the calculation of the data fluctuation curve based on a linear regression algorithm. Performing data prediction on the basis of the data fluctuation curve, and obtaining price prediction fluctuation data and supply quantity prediction fluctuation data of each supply unit; obtaining supply demand information of a next preset supply period, and analyzing the matching degree of each supply area by taking the supply demand information as a supply target and combining the price prediction fluctuation data and the supply quantity prediction fluctuation data of each supply unit; and in the map model, based on the matching degree and the geographic position of each supply area, carrying out joint supply analysis and logistics aging matching optimization on the plurality of supply areas, and obtaining an optimal supply scheme in the next preset supply period.

This invention discloses a method and system for multi-source data acquisition and processing in the bird's nest supply chain, relating to the field of bird's nest supply chain management technology. The system includes a multi-source adaptive acquisition module, a dynamic spatiotemporal grid module, a data conflict arbitration module, a chain fingerprint generation module, an edge federated computing module, a degradation index calculation module, and a minimum responsibility location module. The method achieves reliable data alignment, tamper-proofing, privacy protection, risk prediction, and accurate traceability across the entire bird's nest supply chain through edge acquisition normalization, dynamic spatiotemporal grid alignment, multi-source consistency verification, chain irreversible fingerprint generation, edge federated anomaly detection, degradation index calculation, and minimum responsibility grid location. This invention improves the reliability, traceability efficiency, and security management capabilities of bird's nest supply chain data and is applicable to quality supervision throughout the entire bird's nest industry chain.

The invention provides a Yangtze river cowfish survival simulation method based on an ELAM model combined with habitat fitness, and belongs to the technical field of ecological protection. Comprising the steps of collecting basic data in a research area; constructing a refined hydrodynamic model of the research area by adopting a finite volume method; simulating the movement of a channel ship, and constructing a dynamic time-varying shipping noise field; introducing a Schaefer residual production function to quantify a reduction effect of fishing on food supply of the cowfishes, constructing an actual resource suitability index, and coupling the actual resource suitability index with water depth and flow velocity suitability to obtain a comprehensive habitat suitability (HSI); and finally, utilizing an Euler-Lagrange intelligent agent (ELAM) framework to drive a virtual cowfish individual to carry out sensing, decision making and motion simulation according to the environment gradient and the noise pressure. According to the method, the ELAM model of habitat fitness is combined, so that the influence of fishing and shipping on the cowfishes can be quantitatively evaluated, and a scientific basis can be provided for ten-year fish prohibition planning and protection of the cowfishes in the Yangtze River.

The invention relates to the technical field of safety monitoring, and discloses a food supply chain safety monitoring method and system based on cloud native, and the method comprises the steps: obtaining a plurality of distributed monitoring nodes deployed by a cloud native service platform, collecting key business data of a plurality of organizations in a food supply chain of the distributed monitoring nodes, extracting a business data abstract and writing the business data abstract into a preset block chain, generating a credible record on the chain, storing key business data into a distributed file system, performing homomorphic encryption on the stored key business data, performing homomorphic calculation on business ciphertext data, and generating a zero-knowledge proof; and storing the on-chain credible record and the zero-knowledge proof in a preset block chain in an associated manner, and dynamically monitoring data exception and tampering of the key business data by using the on-chain associated record to obtain a monitoring result of the food supply chain. According to the invention, the problems of cross-organization data islands and credible data transmission are optimized, and the perception capability and response efficiency of the safety situation of the food supply chain are improved.

The present invention relates to a method for controlling pests of a modified plant, in particular a soybean plant, comprising the step of contacting the plant, a part thereof, a propagation material thereof, a pest, a food supply, a habitat or a breeding ground thereof with one or more compounds of formula I, wherein the variables are defined as described in the specification.

The food supply device comprises a bottom shell, a driving roller and a driven roller are connected to the interior of the bottom shell through bearings, a conveying belt is in transmission connection between the driving roller and the driven roller, a stock bin is fixed to the top of the bottom shell, the driving roller is located at the bottom of the stock bin, and a motor is fixed to the outer wall of one side of the stock bin. A driving belt wheel is fixed to an output shaft of the motor, and a driven belt wheel is fixed to one end, extending out of the bottom shell, of the driving roller. The conveying belt is driven to rotate through the motor, the driving belt wheel, the driven belt wheel and the driving roller, then the conveying belt can automatically convey out duck food particles in the stock bin, and food can be conveniently supplied to ducks when the ducks are bred in a rice field; and the duck food is not easy to pollute on the conveyor belt in the bottom shell.

The application provides a data expansion method and device, the method comprises the following steps: obtaining N groups of real source data, each group of real source data contains a data sequence; dividing the data sequences in the N groups of real source data into a plurality of sequence combinations, each sequence combination is a calculation group; performing weighted calculation on each calculation group according to the sequence number requirement of weighted average calculation, to obtain the weight value allocated to each calculation group; performing weighted average on the data sequences in each calculation group according to the weight value allocated to each calculation group, to obtain the data expansion sequence of each calculation group. In the data expansion method, the calculation results of all calculation groups are not all considered all data sequences, therefore, in the case that some part of data sequences are abnormal, more calculation results are not affected because they do not involve abnormal data sequences, which greatly avoids the influence of abnormal sequences in small data on the final data expansion sequence.

This application relates to a modular non-human primate rearing cage, belonging to the technical field of animal husbandry. It includes a cage frame, a resource supply system, a hygiene and cleaning system, an activity and enrichment system, and a connection and management system. The cage frame includes a cage base, a cage top, and cage side frames. The resource supply system includes a food supply device and a water supply device detachably installed on the cage frame. The connection and management system includes a connecting channel on the cage side frames and a connecting cage door movably installed on the cage side frames for changing the opening and closing state of the connecting channel. The activity and enrichment system includes a lookout component installed on the cage side frames, a climbing component located between the lookout component and the cage base, and multiple monitoring units installed on the cage top frame. This application can improve the husbandry and management efficiency of non-human primates.

The present application relates to a kind of liquid food intelligent pushing device and food supply device.Pushing device includes the first parameter acquisition unit, obtains the pushing speed of pushing member;Second parameter acquisition unit, based on the pushing speed of pushing member and target speed, obtains the speed error of pushing member;Master unit, based on PID control model, current speed error, historical speed error integral value and first speed error change rate, obtains the transmission control parameter of transmission mechanism, and based on transmission control parameter, transmission control is carried out to transmission mechanism;Parameter updating unit, when meeting model parameter updating condition, based on current speed error, second speed error change rate, resistance change rate, parameter updating is carried out to PID control model model parameter.Cleverly balanced the response speed and response accuracy of PID control model, realizes that PID control model still maintains high response speed on the basis of guaranteeing response accuracy.

The application relates to the technical field of logistics management, and discloses a food inventory intelligent management method and system for a large ship kitchen, which comprises the following steps: acquiring electric current, refrigerated cabinet temperature, consumption rate, inventory quantity and remaining sailing time, performing time sequence decomposition prediction to obtain a short-term consumption trend; correcting the resistance consumption deviation by using the sailing speed and effective wave height to obtain a corrected consumption trend value; taking the original material list of a supply port, performing differentiated supply-demand matching to obtain a supply information set; screening threshold materials according to the corrected consumption trend value and the supply information set to obtain a category identifier, evaluating the port capacity according to the consumption time length, determining the urgency level, and cross-port optimization distribution to obtain an optimized procurement list; according to the optimized procurement list and the supply information set, the minimum port number is planned to obtain an optimal solution vector, a final procurement scheme is generated according to the port, a ship priority capacity constraint loading simulation is performed, and a logistics management output result is output. The method can realize the precision of food supply decision-making for a large ship kitchen.

The invention discloses a supply chain intelligent scheduling method and system based on big data analysis, and relates to the field of food supply chain management, and the method comprises the steps: collecting and preprocessing supply chain node operation data, calculating the discrete degree and change rate of standardized operation data, constructing a fluctuation feature matrix, and generating an operation trend graph; a self-learning early warning mechanism is established, a final risk early warning value is output after early warning accuracy correction is combined, a node risk score is calculated, an initial allocation scheme is generated in combination with an inventory level, and a final resource allocation scheme is formed after node processing capacity matching analysis; and issuing a deployment scheme by adopting an identity recognition and data encryption mode, tracking an execution condition, and collecting feedback data to realize risk early warning and elastic regulation and control. According to the invention, supply chain node risks can be effectively predicted, resource optimization configuration is realized, and supply chain operation efficiency and stability are improved.

A system is provided.SOLUTION: A system comprising means for photographing a meal of a person to be cared for, means for transmitting photographed image data to a server, means for analyzing the image data and recognizing types and quantities of food materials, means for recording a recognition result in a database, means for predicting necessary food materials and quantities thereof based on the recorded meal data, means for generating a next food material order list based on the prediction, means for automatically placing an order with a food material supplier based on the order list, and means for notifying a user of order information.SELECTED DRAWING: Figure 1

The invention relates to a data analysis technology, and discloses a food safety full-process tracing method and system based on the Internet of Things, and the method comprises the steps: obtaining a multi-link Internet of Things data sequence of target food in a food supply chain, a preset time-varying graph neural network is utilized to construct a food safety risk propagation map of the target food according to the multi-link Internet of Things data sequence, and a pre-trained space-time risk conduction model is utilized to perform food safety risk analysis according to the food safety risk propagation map and the multi-link Internet of Things data sequence. And judging whether the comprehensive risk value is greater than a preset risk threshold value, if the comprehensive risk value is less than or equal to the preset risk threshold value, judging that the target food has no food safety risk, and if the comprehensive risk value is greater than the preset risk threshold value, performing key risk node tracing on the target food based on the food safety risk propagation map to obtain a tracing result. According to the invention, the efficiency and accuracy of food safety full-process tracing can be improved.

Food contact materials with a color difference ΔE <20 from the L*a*b* coordinates to a color number starting with "3" of the RAL color chart according to the color model according to EN ISO 11664-4, to be determined according to DIN 5033 (1979), based on compositions containing at least one polyester or polystyrene and a colorant consisting of at least one red azo dye and at least one ethylene oxide-propylene oxide block copolymer with a central propylene oxide unit between two ethylene oxide units, a molar mass determined from the OH number to be determined according to DIN / ISO 4629, in the range of 5500 to 7500 g / mol, a mass fraction of ethylene oxide units in the range of 45 to 55 wt.% and a flocculation point to be determined according to EN 1890 method B in the range of 70°C to 85°C.

This application discloses a food service system, relating to the field of food service, including a first user terminal, a second user terminal, an order management system, a food supply chain, and cooking equipment. The first user terminal filters a base menu page to generate a customized menu page and initiates an order invitation request based on the customized menu page. The order management system generates an adapted menu program interface based on the customized menu page and sends it to the second user terminal. The second user terminal obtains the customized menu page information based on the menu program interface, places an order, and then sends feedback to the first user terminal to generate order information. The order management system generates order information based on the order information and sends it to the food supply system, enabling the food supply system to complete the collection, delivery, and preparation of food based on the order information. This application can satisfy the second user's dining experience of independently selecting dishes while ensuring that the ordered content is adapted to the second user's health condition.

This invention discloses a warehouse control method and system based on the food supply chain, belonging to the field of warehouse management technology. The method includes a demand forecasting step, a storage location optimization step, and a replenishment decision step. The storage location optimization step constructs a multi-objective optimization model with inbound / outbound efficiency, temperature zone matching, shelf-life urgency, and shelf stability as optimization objectives, and uses a multi-population genetic algorithm to output a storage location allocation scheme. The replenishment decision step calculates the dynamic safety stock based on demand forecasts and supply lead times, selects batches with sufficient remaining shelf life to calculate the effective inventory, compares it with the reorder point, triggers replenishment, and generates a replenishment instruction. This invention also provides a warehouse control system including a data acquisition module, a demand forecasting module, a storage location optimization module, a replenishment decision module, and a central control module. This invention effectively improves the accuracy of demand forecasting, optimizes storage location allocation efficiency, and achieves refined control of food warehousing.

A method for controlling invertebrate pests of potato plants comprises the step of contacting the plant, parts of it, its propagation material, the pests, their food supply, habitat or breeding grounds with one or more compound of formula (I), or a composition thereof.

The application provides a food safety monitoring method and system based on big data, comprising constructing alliance chain nodes in a food supply chain, uploading full life cycle data to a distributed ledger of a block chain for notarization to obtain traceability notarization data; establishing a risk factor correlation graph based on a time-space dimension, extracting a risk feature vector; based on a dynamic game model, monitoring the risk feature vector in real time, and judging whether an abnormal risk signal appears; if yes, triggering an early warning logic, the early warning logic combining a multi-party game mixed strategy Nash equilibrium solution to calculate an optimal early warning threshold under a current monitoring environment, and generating a response strategy; based on the optimal early warning threshold and the response strategy, calculating a safety risk index, and sending different levels of early warnings to relevant parties according to the safety risk index. The application can identify implicit risks that cannot be found by traditional threshold alarms, significantly improving the accuracy and forward-looking nature of risk early warning.

A system according to an embodiment aims to minimize the carbon footprint of the entire food supply chain.SOLUTION: A system includes a collection unit, an analysis unit, and an execution unit. The aggregator analyzes in detail the carbon footprint in the supply chain from the food producer to the consumer. The analysis unit analyzes the data collected by the collection unit and proposes an optimal method for minimizing the amount of carbon emissions in each step. The execution unit executes the optimization method proposed by the analysis unit and monitors carbon emissions.SELECTED DRAWING: Figure 1

The utility model discloses a foodstuff supply device for outdoor chicken raising, and relates to the technical field of raising, the foodstuff supply device comprises a feed trough, a feed storage barrel is arranged above the feed trough, the bottom of the feed storage barrel is provided with a plurality of blanking pipes, the plurality of blanking pipes are arranged at intervals along the length direction of the feed trough, and the feed storage barrel is connected with the feed trough. The discharging positions of the discharging pipes are located in the feed trough, switching baffles are arranged at the bottoms of the discharging pipes in a contact mode, the switching baffles can block all the discharging pipes at the same time, and the switching baffles have the freedom degree of moving in the horizontal direction and are used for being separated from the discharging pipes so that the discharging pipes can conduct normal discharging. Opening and closing of the discharging pipe can be remotely controlled, the foodstuff does not need to be manually and frequently carried and poured, manpower input is greatly reduced, and foodstuff supply efficiency is remarkably improved.

The utility model relates to the field of fry breeding, in particular to an efficient fry breeding facility. The efficient fry breeding facility comprises a floating ring, the floating ring is in a square shape, and a net cage is placed in the floating ring; the number of the fixing rods is multiple, the fixing rods are all fixed to the positions, corresponding to the corners, of the floating ring, and the net cage is fixed to the fixing rods in a suspended mode; the nutrient supply device comprises a flow guide pipe, the flow guide pipe is erected on the mesh cage, and jet flow holes are formed in the position, corresponding to the mesh cage, of the outer wall of the circumference of the flow guide pipe. According to the efficient fry breeding facility, separated breeding of various fry is achieved through the arrangement of the net cages, growth of the fry is better facilitated, and meanwhile oxygenation and food supply can be achieved through the additionally arranged nutrient supply device.

The invention provides a fresh food supply chain scheduling management system. The system comprises an intelligent prediction mechanism which is used for predicting and presetting fresh food material supply data which needs to be supplied to a target company by a fresh food material supply enterprise on the same day by adopting a production quantity prediction model; and the production issuing mechanism is used for issuing the intelligent prediction result to each downstream fresh food material production enterprise for logistics transmission of the fresh food materials. The invention further provides a fresh food supply chain scheduling management method. According to the invention, for the technical problem that the fresh food materials are not easy to store, so that the resource saving of the fresh food materials and the meeting of the catering demand of the company are difficult to consider, the production quantity prediction model is adopted to predict the quantity of various types of fresh food materials consumed by the target company in the day; and the intelligent prediction result is used as production data to be published to each fresh food material production enterprise, so that the technical problem is solved.

The invention discloses an intelligent logistics scheduling method and system based on a food supply chain. The method comprises the following steps: firstly, analyzing a food seasonal demand change trend of a target area; secondly, analyzing seasonal food type supply characteristics of the target region in each season through a clustering algorithm; and then, introducing an LSTM algorithm, and predicting different types of food requirements of the target region in a future preset time period. And formulating a logistics scheduling scheme of the target region in a future preset time period according to the food demand prediction data, and evaluating the scheduling adaptability after implementation. And finally, adjusting a logistics scheduling scheme according to an evaluation result. The invention aims to effectively relieve the influence of seasonal fluctuation on logistics scheduling, improve the scheduling efficiency and accuracy, and provide an innovative solution for intelligent management of a food supply chain.

The intelligent seedling tray device comprises a pot body, a planting unit and an electrical control unit, a support and a bracket are arranged on the pot body, and an air supplement fan, blue light LER lamps and blue light LER lamps are arranged on the bracket. The electrical control unit comprises a power supply module, a single-chip microcomputer chip, a voltage module, a data string sensor module, a panel touch module, a display panel key module and a non-relay module. A temperature sensor and a humidity sensor are arranged on the pot body; the blue light LER lamp, the yellow light LER lamp, the air supplement fan and the humidifier are respectively connected with the relay module; the single-chip microcomputer, the temperature sensor, the humidity sensor, the light supplementing device and the air blowing device are integrated on the planting seedling tray, so that planting seedlings in the sealed chamber can achieve cold light, warm light and air supplementing growth environments, the planting seedlings can grow in the sealed chamber, and the food supply capacity of the sealed chamber is improved.

The invention relates to the technical field of food supply management, and discloses an AI-based canteen material handover acceptance and traceable management system and method. According to the invention, material acceptance data is processed based on AI visual analysis and other technologies, a generated material quality inspection report provides an indisputable evidence basis for quality evaluation, and then a unique corresponding relation between a receipt and a real object and consistency with order requirements are ensured through a multi-modal data fusion and bidirectional verification method, so that the quality evaluation efficiency is improved. And then the acceptance result and the disposal action are solidified and associated to obtain an inventory update record, so that a complete and non-tampering data chain from acceptance to warehousing is formed, the problem that the acceptance decision process cannot be effectively supervised and traced in the prior art is solved, the acceptance decision process is enabled to be supervised and rechecked, and the acceptance decision process is enabled to be more accurate. And objective evidences of the whole link can be provided when subsequent disputes occur, so that the responsible party can be accurately judged, and the management effect can be comprehensively improved.

The invention discloses an in-situ resource conversion and food structure generation system for an extreme physical environment, belongs to the technical field of intersection of extreme environmental engineering and food engineering, and aims to solve the problems that food supply depends on external transportation for a long time and the anti-risk capability of a traditional agricultural system is insufficient in the extreme physical environment. The system comprises a resource acquisition module, a resource conversion module, a food structure generation module and a system operation control module. The system generates food base components by obtaining environmental in-situ resources, using biotransformation links, non-biotransformation links, or a combination thereof, and using physical conditions in an extreme environment as processing boundary conditions to perform structured, conformal, or ingestible treatment on the food base components or biological products, such that the food base components or biological products are obtained. And a structured food for human ingestion is generated. The system operation control module dynamically adjusts operation parameters according to a resource state, an energy state or a module operation state, triggers a degradation operation strategy under an abnormal or limited working condition, and preferentially maintains continuous supply of basic food. According to the invention, long-term operation can be realized without external continuous material supply, and the system is suitable for non-earth or non-earth-like extreme physical environments.

The present invention relates to a system for forming a product from a food mass, comprising a mould member and a food supply means, that supplies the food mass to the mould member. The present invention also relates to a method to mould a food mass.

The invention discloses an automated insect rearing system (10) having: a shelf arrangement (12) that has a shelf (14) having a plurality of shelf storage locations (34) for storing a corresponding plurality of trays (16), wherein each of the trays (16) is designed to receive insects during a rearing period; a storage and retrieval unit, RBG, (18) which has a vertically movable load-receiving means, LAM, (36) which is designed to transport the trays (16) and to store and retrieve said trays horizontally in and from the storage locations (34); and a food applicator (44), which is designed to distribute insect food among the insects located in one of the trays (16); wherein the applicator (44) is arranged: on the RBG-LAM (36) or in at least one of the storage locations (34), which is designed as a food supply station.