122 results about "Food supply" patented technology

The invention discloses a food risk prevention and control intelligent remote early warning method and system, and the method comprises the steps: collecting environment and operation data in real time through an edge calculation terminal, screening low-entropy data based on a data conflict entropy value, writing the low-entropy data into a block feature chain, and carrying out the encryption transmission; fusing the block feature chain data and the historical behavior game data of the participants by using a space-time diagram convolutional network to generate a hybrid risk index; constructing a digital twinborn body, calculating a cross-modal propagation coefficient through transfer learning, dynamically simulating a risk diffusion path, and generating a prevention and control strategy candidate set; quantizing an early warning level confidence interval by adopting a quantum random number algorithm, and triggering a differentiated encryption early warning instruction through an intelligent contract; and finally, aggregating early warning response data by using federal learning to reversely deduce a risk source, and synchronously correcting the block chain weight and the digital twinborn parameters. According to the invention, full-cycle risk tracing, dynamic simulation and collaborative early warning of the food supply chain are realized, and the risk identification precision and the prevention and control response efficiency are effectively improved.

The invention relates to the technical field of food supply chain traceability, in particular to a food supply chain quality safety traceability method and system. The method comprises the following steps: realizing feature fusion of food data through multi-source data acquisition and time sequence alignment, then identifying a food logistics mode and carrying out load analysis, carrying out adaptive fragmentation storage on fusion features based on logistics load data, constructing a storage network topology structure, and utilizing a block chain technology to carry out self-adaptive fragmentation storage on the fusion features. And performing chain structure connection on the fragmented data, deploying an intelligent contract, finally constructing a traceability coding system according to the contract and a chain structure, and realizing whole-course quality safety accurate monitoring and tracking of the food supply chain through a traceability code set. The invention realizes a more efficient and more reliable food supply chain quality safety traceability method.

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.

There is a challenge in creating a seamless food supply chain that aligns with unique characteristics of each food item while considering business values. The present disclosure address the challenges associated with the food supply chain by providing a system and method for evaluating sustainability of a food supply chain network using digital twin. The present discourse describes developing a set of modeling abstractions and a digital twin-based approach to explore ideal supply chains for food, aiming to reduce food wastage, ensure food quality and improve profit margins. In the present disclosure, unique characteristics of fruit supply chains are described which are further applied to food supply chains. Using the characteristics of climacteric fruits, unique requirements that contemporary perishable food supply chains need to consider are described. Furthermore, a digital twin-based approach specifically designed for climacteric fruits is provided to address modeling requirements and enable evidence-based and justification-backed holistic decision-making.

The invention relates to a main chain DAG block chain network model for food big data, and relates to the field of food safety and the field of block chains. On the basis of a main chain DAG block chain technology, a block chain architecture suitable for food big data with high throughput characteristics is provided, a food supply chain analysis model and a food block chain architecture based on main chain DAG are constructed, main chain DAG topology structure characteristics are improved, and a food supply chain analysis model is constructed. A layered MPT structure optimization scheme based on the food data sensitivity level is provided based on the Merkel-Peltier tree so as to reduce the large calculation overhead generated by the large-scale Merkel tree and improve the management query efficiency. And a special block head is designed, and adaptive block head content is constructed. And the storage bytes of the block head are subjected to refined calculation, so that the block storage requirements are reduced. According to the method, the main chain DAG block chain network model of high-throughput food big data is realized by constructing the topology structure of the main chain DAG block chain and the block body of the block head.

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 discloses an intelligent canteen management system and method, and relates to the technical field of canteen management. Dinner plate waste data is acquired, the food waste amount is calculated, a dinner plate waste data set is established, a dinner plate classification model is constructed by using a twin neural network algorithm, and after the dinner plate data is screened, a waste analysis table is constructed; the method comprises the following steps: establishing a waste analysis index WI analysis model based on a waste analysis table, determining a key analysis window, analyzing related data of the key window, drawing a curve, judging the trend of the curve by using Hilbert-Huang transform, judging the change trend of the waste index by using a cumulative first-order difference ratio algorithm if the trend changes are consistent, and adjusting the food supply quantity of the dinner plate. The system comprises a data acquisition module, a data reconstruction module, a window analysis module, a trend analysis module and an intelligent regulation and control module, multiple factors are integrated, an effective means is provided for intelligent canteen management, and reduction of food waste is facilitated.

The invention discloses a coupling evaluation index-based energy flow path evaluation system for a sea-mountain ecosystem, and relates to the technical field of marine ecological evaluation and management, and the system comprises an evaluation center which is in communication connection with a region deployment module, a multi-source collection module, a coupling analysis module, an energy evaluation module, a data management module and a decision support module. According to the system, systematic and standardized collection of biological and environmental data in the sea and mountainous areas is realized through gridding partition of the region deployment module and directional equipment layout in combination with layered collection of the multi-source collection module and standardized pretreatment of samples; the coupling analysis module constructs a coupling index, analyzes an energy flow key path, screens a key environment factor and provides a quantitative evaluation basis; and the energy evaluation module calculates the efficiency of the biological pump, evaluates benthic food supply and spatial change and visually presents the benthic food supply and spatial change, so that refined evaluation and management of ecological energy flow in the western pacific sea mountainous area are realized.

The invention discloses a risk management system and method based on a food supply chain, and relates to the technical field of food supply chain risk management. The risk management system based on the food supply chain comprises a food transfer and delay monitoring module; a food waste risk assessment module; and a carbon footprint information updating accuracy monitoring module. According to the invention, food transfer and delay monitoring is carried out through the obtained food transfer delay parameters, whether food transfer delay optimization is carried out or not is judged, and if food transfer delay optimization is not carried out, food waste risk level assessment is carried out; and finally, carbon footprint information updating accuracy monitoring is performed through the obtained carbon footprint information updating parameters, and whether food carbon footprint information updating optimization is performed or not is judged, so that the effect of improving the risk management accuracy of the food supply chain based on carbon footprint detection is achieved. The problem of low accuracy of risk management data of a food supply chain based on carbon footprint detection in the prior art is solved.

The invention provides an intelligent cooking equipment household food preparation service system device and method. The intelligent cooking equipment household food preparation service system device comprises an intelligent cooking equipment terminal 100, a cloud service system 200 and a supply chain management system 300. Three technical main lines of food material digitization, cooking process programming and kitchen space intelligentization are adopted, and the problem that the dynamic sensing ability of existing intelligent cooking equipment on the food material state and environment is lack of deep integration with a prefabricated food material supply chain is solved; the intelligent level of equipment is insufficient, the cross-equipment cooperative ability is weak, and the equipment cannot completely adapt to different food materials and user requirements (only fixed recipes can be executed, and the characteristics of the food materials cannot be dynamically adapted); according to the method, the problems that full-process automatic cooking decisions are not achieved, so that the sticky mechanism of a user is weak (the rate of charge is low due to pure hardware sales) are solved, and good life of food safety, environmental protection, convenience, health management and the like is achieved.

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 relates to the technical field of ecological breeding of scylla paramamosain and protection and restoration of mangrove forests. The invention provides a method for culturing scylla paramamosain by using mangrove forest, which comprises the following steps: (1) carrying out simple engineering transformation on the basis of a coastal wetland traditional culture pond, constructing a planting island in the middle of the culture pond, and reserving an annular tidal creek between the planting island and the periphery of the culture pond; (2) planting mangrove plants in the planting island to form a man-made forest; (3) small aquatic plants are planted at the bottom of the artificial forest, and large algae are planted in the annular ditches; and (4) putting the young blue crabs into the culture pond, and carrying out daily management until the blue crabs are harvested. The shellfish is used for providing main food supply for the blue crabs, and meanwhile water is purified; excrement of the blue crabs can be fed back to promote growth of mangroves, algae, mussels and the like; large algae can perform photosynthesis at the bottom of the pond to increase dissolved oxygen in water, and small sea grass is placed in the planting island to make up for the defect of low coverage of newly planted mangrove forest plant seedlings.

The invention discloses a visual traceability processing method and system for food deterioration data, and relates to the technical field of data processing and big data resource services. According to food characteristics, a metabolite spectrum under a time sequence is constructed, a radio frequency tag of a food package is taken as a node, four-dimensional Internet of Things networking is carried out, and by coupling a space microenvironment and the metabolite spectrum, the food deterioration data is obtained. The method comprises the following steps: deploying an intelligent contract rule by taking a metamorphic nonlinear acceleration feature as a constraint, carrying out Internet-of-things network access operation through detection of a space microenvironment and a metabolite spectrum, triggering a coding environment cascade decision based on the intelligent contract rule, determining metamorphic data and carrying out uplink storage, and is used for solving the problem of lack of an integrated unified traceability mechanism in the prior art. The technical problem that full-process automatic identification and information uploading from full-period tracking, deterioration generation to responsibility identification are difficult to realize is solved, the food supply chain management and control level is improved, and the traceability and quality transparency of big data resource service are enhanced.

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 relates to the technical field of real-time cooperation of agricultural and pastoral products-food supply chains, in particular to an agricultural and pastoral supply chain voice interaction system and model driving method based on enterprise WeChat, and the system comprises an enterprise WeChat interaction module which is used for obtaining voice, pictures, position information, WeChat numbers and mobile phone numbers inputted by a user; the large model (LLM) service module is used for analyzing the input information according to a preset scenarized cue word template and outputting structured JSON (JavaScript Object Notation) data; the scene event agent is used for storing a service event configuration library in a JSON format, outputting a matching event definition according to LLM, and triggering a background service system to operate through an RPA engine; the data agent is used for dynamically generating SQL statements on the basis of an AtributeSet configuration table and realizing addition, deletion, modification, query and associated query of business objects; the method has the beneficial effects that compared with a traditional mode that an operator enters a software system manually after going to an office, the timeliness of each business operation is improved by at least half an hour, and the time is often prolonged by one day or even several days by adopting the scheme.

To provide a food conveyance path in which peeling of a coating film can be easily detected.SOLUTION: A food conveyance path 10 includes a food supply part 11 having a first placement surface 11C on which food F is placed and a coating layer 16 covering the first placement surface 11C. The coating layer 16 includes: a first coating layer 16A that covers the first placement surface 11C and a second coating layer 16B that covers the first coating layer 16A. The hue of the second coating layer 16B is blue, and the color of the first coating layer 16A is different from the color of the second coating layer 16B.SELECTED DRAWING: Figure 3

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 utility model relates to a food safety intelligent scale with infrared short waves and millimeter waves. The food safety intelligent scale comprises a base, a weighing platform, a pressure sensor, a supporting structure, a display device, an image acquisition device, an infrared short wave device, a millimeter wave device and a main control circuit board, the pressure sensor, the display device, the image acquisition device, the external short wave device and the millimeter wave device are electrically connected with the active circuit board. The infrared short-wave device and the millimeter-wave device are used for realizing nondestructive detection on food ingredients, freshness and safety; when the scale is used in a food acceptance check link, the scale not only can accurately record the weight, quantity and image information of food, but also can detect the maturity of vegetables and fruits, whether the interior of the food is rotted or not and the pesticide residue condition on the surface. The system is wide in application scene and suitable for various occasions such as school canteens, enterprise and public institution canteens, government agency canteens, social catering canteens, central kitchens and food supply chain enterprises.

The invention provides a food material supply chain digital management system based on big data, and the system comprises a supply management module which carries out the management of food material suppliers, and obtains the food material supply information through an information collection device; the collection center module obtains a target food material demand, performs selection bidding and tendering according to the target food material demand in combination with the food material supply information by adopting a big data analysis model, determines a target supplier, and determines a supply order based on the target supplier; the distribution service module performs quality control detection and visual supervision according to the supply order; and the financial management module performs settlement according to the supply order. According to the food material supply chain digital management system based on the big data, food material supply chain digital management is achieved in combination with the big data, smooth communication and efficient cooperation of information are improved, food material requirements are quickly responded, target suppliers are determined to conduct order transaction within a short time, meanwhile, the accuracy is high, and the user experience is improved. Order transaction can be completed with low cost.

The invention discloses a feeder which comprises the components of a main housing which internally accommodates a common food bin and a first feeding structure which are distributed up and down, and the common food bin is communicated with the first feeding structure; the dinner plate is arranged on the outer side of the main shell, and the main shell is provided with a food outlet channel used for conveying the first food output by the first feeding structure to the dinner plate; the upper cover assembly is arranged at the top of the main shell, and a special food bin used for storing second food and a second feeding structure are arranged in the upper cover assembly; the main shell is provided with a special food bin, the special food bin is provided with a discharging port, the second feeding structure is configured to drive second food to move towards the discharging port, the main shell is further provided with a discharging channel communicated with the discharging port, and the discharging channel is configured to convey the second food supplied by the discharging port to the dinner plate.

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.

To provide a food material feed apparatus which can securely charge food materials to each of plural food material reception parts separately formed at prescribed intervals.SOLUTION: A feed material feed apparatus comprises: a storage part 20 for storing octopus pieces W cut in a prescribed size; a first holding part 30 for absorptively storing the food materials stored in the storage part 20; a second holding part 50 for receiving the food materials from the first holding part 30 and holding the same; a raising / lowering cylinder 47 for raising and lowering the first holding part 30 between a standby position and a food material delivery position G to the second holding part 50; a robot arm for moving the second holding part 50 between the food material delivery position from the first holding part 30 and a food material charge position; a vacuum blower connected to the first holding part 30 and the second holding part 50; three-way valves respectively installed in a path on an exhaust side and a path on an intake side in the vacuum blower; and a control part for controlling the operation of the three-way valves.SELECTED DRAWING: Figure 8

The application discloses a food supply service space flow path simulation method based on supply-demand relationship and belongs to the technical field of ecosystem services. Through data acquisition and preprocessing, the food supply and demand of each region are quantified to realize spatial expression. The supply-demand quantity relationship and spatial matching of food supply services are evaluated to understand the correlation of supply and demand in the overall space and the aggregation and differentiation characteristics in the local space. Through traffic accessibility evaluation and cost path analysis, the optimal flow path of food from the food supply area to the food demand area is determined to optimize the spatial configuration of food supply services. The application is based on the grid scale, combines land use data and normalized vegetation index to distribute food heat in the grid, not only makes up for the defects that fine scale is difficult to promote to large scale implementation, but also finely characterizes the supply-demand relationship of food supply services and realizes quantitative characterization of food supply service space flow path.