404 results about "Fresh food" patented technology

The invention discloses a fresh cold chain quality early warning regulation and control method based on the Internet of Things, and belongs to the technical field of detection and analysis of fresh goods, and the method comprises the steps: obtaining the original quality state of goods, and obtaining the initial data of the goods; acquiring temperature, humidity, gas concentration and vibration intensity in the cold chain environment, and generating multi-source environmental parameters; based on the commodity initial data and the multi-source environment parameters, calculating to obtain a corruption activity index; generating a graded early warning signal according to the decay activity index; in response to the graded early warning signal, generating an equipment cooperation instruction; the device cooperation instruction is sent to the cold chain device cluster to execute regulation and control; and acquiring environment feedback parameters after the cold chain equipment cluster executes regulation and control, and updating the corruption activity index based on the environment feedback parameters. According to the method, the fresh food quality degradation risk can be accurately predicted, the targeting and effectiveness of regulation and control are improved, and the goods damage in the cold chain transportation process is remarkably reduced.

The invention relates to the field of order delivery, in particular to a delivery order intelligent management method and system. The method comprises the following steps: collecting a fresh food delivery order stream, and carrying out effective delivery time window calculation to obtain a dynamic effective time window of each order; identifying available deliverymen in the region, performing real-time delivery load evaluation, and generating a real-time delivery load index; performing intelligent order allocation according to the dynamic effective time window and the real-time delivery load index to obtain newly added order information; performing order priority dynamic evaluation based on the newly added order information to obtain an order delivery priority; and carrying out distribution sequence and path re-planning according to the order distribution priority, and generating a latest distribution planning scheme. The fresh food order delivery efficiency is improved, and the customer purchase experience is optimized.

The invention discloses a fresh food supply chain full-link traceability and loss early warning method based on a block chain, and the method comprises the steps: 1, carrying out the lightweight collection of full-link data, processing the data, and obtaining a standardized data source, and 2, carrying out the construction of a block chain bottom-layer architecture based on the standardized data source; step 3, establishing a dynamic reputation consensus mechanism, and establishing a trusted environment for data sharing through reputation score driving node collaboration based on a block chain bottom layer architecture; 4, constructing a federated learning network; step 5, risk prediction modeling: performing multi-dimensional risk prediction by utilizing model output of collaborative modeling and combining real-time data; step 6, graded early warning response: based on a risk prediction result, realizing graded automatic response through a grading rule; step 7, dynamic decision optimization; the beneficial effects of the invention are that the dynamic decision optimization function adjusts the strategy of each link of the supply chain according to the early warning result, achieves the intelligent scheduling of logistics, inventory and production, and reduces the loss and cost.

The invention provides a fresh food quality degradation pre-judgment method and system based on multi-modal dynamic coupling, and aims to solve the problem of prediction lag caused by data isolation and dynamic coupling deficiency in the traditional storage and transportation process. Specifically, sensory layer data, environment layer data and operation layer data are synchronously collected through a multi-source sensor, chromatic aberration quantification, chemical bond feature extraction and spatial chemical fusion processing are carried out on the sensory data, and a quality degradation feature tensor is generated; based on a graph network model and frequency domain analysis, constructing a dynamic coupling parameter set of quality degradation characteristics and environmental parameters; fusing the loading and unloading pulse trajectory tensor, the cold chain stability distribution and the coupling parameter set, and generating a degradation constraint distribution matrix through multivariable weight mapping; and finally, combining acoustic resonance mode coherence analysis and constraint matrix evolution, and outputting a four-stage quality label. According to the method, through multi-dimensional real-time sensing, dynamic coupling modeling and hierarchical management and control, the fresh food storage and transportation loss is remarkably reduced, and the cold chain management efficiency is improved.

The invention discloses a natural eutectic solvent enhanced konjac glucomannan film as well as a preparation method and application thereof, and belongs to the technical field of food packaging. The konjac glucomannan film enhanced by the natural deep eutectic solvent, provided by the invention, comprises konjac glucomannan, the natural deep eutectic solvent and gallic acid modified MXene nanoparticles; the mass ratio of the konjac glucomannan to the natural eutectic solvent to the gallic acid modified MXene nanoparticles is (850 to 950) to (50 to 250) to (10 to 40). Through the synergistic effect of all the components, the defects that KGM is insufficient in intrinsic mechanical strength, weak in antibacterial and antioxidant performance and poor in moisture resistance are overcome, the comprehensive performance of the film is remarkably improved, and the film can be used for cold-chain packaging of high-value fresh food and has environment friendliness and functional practicability.

The invention discloses a fresh food after-ripening characteristic and demand prediction transportation aging collaborative optimization method, and relates to the technical field of fresh food transportation, the method comprises the following steps: using a sensor to collect temperature and humidity, gas concentration and cell metabolite data in a fresh food after-ripening process; according to the invention, temperature, humidity, gas concentration and cell metabolite data of the fresh food are collected in real time by using a sensor in a transportation link, and deep fusion and analysis are carried out in combination with multi-source external information such as historical sales data, social media public opinions, weather disaster early warning and the like, so that precise control of the after-ripening state of the fresh food is realized; according to the method, deep learning and association rule mining technologies are applied, a dynamic decision model is constructed, and the transportation time efficiency and the distribution strategy are optimized in real time according to after-ripening characteristics and demand prediction, so that the fresh food loss can be effectively reduced, the product quality is ensured, the transportation resource utilization rate is improved, the logistics cost is reduced, the market demand is accurately matched, and stockout and overstock phenomena are reduced.

The invention belongs to the technical field of food preservation, and particularly discloses an aerogel fiber membrane with humidity response and capable of being used for food preservation and a preparation method of the aerogel fiber membrane. The preparation method comprises the following steps: mixing a shell film-forming substance with a first solvent to obtain a shell spinning solution; mixing a core layer gel substance, a biological preservative, a cross-linking agent and a second solvent to obtain a core layer gel spinning solution; and then carrying out coaxial electrostatic spinning on the obtained shell layer spinning solution and core layer gel spinning solution at 40-60% RH to obtain the aerogel fiber membrane which has humidity response and can be used for food preservation. The core layer with the porous aerogel structure is prepared in one step, preparation is simple, industrialization is easy to achieve, and good application prospects are achieved; the aerogel fiber membrane not only can solve the problem of juice seepage in the storage process of fresh food, but also can perform humidity response to the environment and intelligently release an antibacterial agent in a controlled mode, growth and reproduction of dominant putrefying bacteria in the storage process of the fresh food are inhibited, and the preservation period is prolonged.

The invention discloses a fresh food cold chain tracing and early warning system based on the Internet of Things technology, and relates to the technical field of fresh food cold chain tracing, which integrates sensing modules such as GPS positioning, temperature and humidity monitoring, electronic fence management, parking identification, cargo compartment state monitoring and the like, and comprehensively judges the actual parking behavior of a vehicle through a data fusion analysis module. The path execution judgment module further combines a scoring result with a distribution task preset path to carry out intelligent comparison, whether each stop task is completed or not is accurately judged, and if the stop task is not completed, an abnormity early warning module reports abnormity information to a dispatching center in time; the whole-process intelligent identification and real-time early warning of the distribution behavior are realized, and the accuracy, integrity and system response capability of cold chain tracing are effectively improved.

The invention belongs to the technical field of fresh food delivery, and particularly relates to an intelligent fresh food delivery system and method based on the Internet of Things, and the method comprises the following steps: step 1, collection of a fresh food delivery technology, step 2, construction of a delivery model, step 3, edge AI quality detection, step 4, group intelligent crowdsourcing delivery, and step 5, interaction and feedback. And step 6, system optimization and a feedback mechanism. Through the Internet of Things technology and the digital twinborn model, a large amount of data is collected and analyzed in real time, data-driven decision support is provided for enterprises, future delivery requirements are predicted according to historical order data and market trends, inventory management and resource allocation are optimized, the quality of fresh food is detected in real time through edge AI equipment, and the quality of the fresh food is improved. By combining the dynamic optimization function of the digital twin model, potential problems can be found and processed in time, the loss rate of fresh products in the distribution process is remarkably reduced, and social resources are efficiently utilized through a swarm intelligence algorithm and a crowdsourcing distribution network.

The invention relates to a remote monitoring method and system for food freshness, and the method comprises the steps: obtaining the processing technology data and circulation transportation data of fresh food, and carrying out the shelf life calculation, thereby obtaining the shelf life of the food; performing process detection and abnormity identification on the processing process data to obtain a first detection result; detecting a temperature accumulation value and a transportation state of the circulation transportation data, and performing result integration to obtain a second detection result; and performing response regulation and control according to the food shelf life, the first detection result and the second detection result to obtain remote regulation and control information. According to the invention, fine management of a cross-link risk conduction mechanism can be realized, and on-demand regulation and control and timely intervention can be realized.

The invention discloses a preparation method and application of an environment-friendly easily-degradable hydrogel coating, and relates to the technical field of hydrogel coatings. The coating is a coating comprising chitosan, acrylic acid, sericin, silk fibroin, silk peptide, tea polyphenol, a photoinitiator, a plasticizer and a leveling agent. The preparation method comprises the following steps: (1) preparing the coating containing the components; (2) coating the surface of food packaging paper with the coating liquid in a slit coating manner; and (3) performing ultraviolet light initiation to obtain the coating. The hydrogel coating has a synergistic effect with the sericin, the silk fibroin, the silk peptide and the tea polyphenol to form a compact and uniform network structure, so that the water-retaining property, the mechanical strength, the flexibility and the antibacterial property are enhanced; the preservative not only has the advantages of environmental protection and degradability, but also has the functions of moisturizing, antibiosis and preservation, and can significantly prolong the shelf life of food and improve the quality. The environment-friendly packaging paper is applied to food packaging paper, not only conforms to the green packaging trend, but also expands the use scenes of environment-friendly materials in the fields of fresh food, baking and the like.

The utility model discloses a fresh food lighting module and a fresh food lamp. The fresh food lighting module comprises a first light-emitting assembly, a second light-emitting assembly, an induction assembly and a control assembly. The first light-emitting assembly comprises a first substrate and a first light source, the first light source comprises a white light source and is arranged on the first substrate, and the first substrate is provided with a first mounting area; the second light-emitting assembly is arranged in the first mounting area and comprises a second substrate and a second light source, the second substrate is detachably connected with the first substrate, and the second light source comprises an ultraviolet light source and is arranged on the second substrate; the sensing assembly comprises a sensor which is arranged on the first substrate and / or the second substrate; the control assembly is connected with the first light source, the second light source and the sensor and can control on-off of the second light source according to feedback signals of the sensor. The fresh food illumination module and the fresh food lamp have multiple functions of illumination, sterilization and the like, can execute different functions according to different scenes, and are simple in structure and convenient to maintain.

Systems and methods for providing water to a countertop appliance, and a pitcher which may be used with such systems and methods, are provided. The pitcher may include at least one pitcher wall and an internal volume defined within the at least one wall of the pitcher. The pitcher may be configured to be received in an autofill dispenser in a refrigerator appliance. The refrigerator appliance may include a cabinet defining a fresh food chamber. The pitcher may also be configured to couple to a countertop appliance whereby the internal volume of the pitcher is in fluid communication with the countertop appliance to provide water from the internal volume of the pitcher to the countertop appliance when coupled.

The invention belongs to the technical field of fresh cold-chain logistics distribution, and particularly relates to a path optimization method and path optimization system for fresh cold-chain logistics distribution, and the method comprises the steps: planning a first path connected with a plurality of first nodes, and calculating a first deviation between the total transportation time of the first path and a preset standard transportation time; when the first deviation is greater than a first preset threshold value, generating a deviation information set serving as a first optimization result by calculating predicted sampling time of a plurality of first nodes and acquiring actual sampling time of the first nodes; updating the average deviation parameter based on the first optimization result to form a second deviation, and further generating a to-be-executed path based on the second deviation; according to the method, the deviation of the actual transportation time and the preset standard transportation time caused by accident factors in the distribution process can be responded in real time, and meanwhile, the punctuality rate of fresh cold-chain logistics distribution can be improved by continuously monitoring and adjusting and correcting the subsequent distribution plan.

The invention relates to the technical field of pet food processing, and discloses a pet fresh food curing method adopting sectional type temperature control cooking, and the method comprises the following steps: carrying out vacuum degassing on a meat paste matrix containing a functional structure stabilizer; injecting saturated water vapor to carry out negative-pressure low-temperature condensation curing; superheated steam, nitrogen and water mist are introduced to execute a pressure pulsation oscillation program, and three-phase pulsation permeation is carried out; and then the pressure is quickly relieved to deep vacuum, gradient pressure difference is used for driving adiabatic flash evaporation pore forming and water evaporation, and finally normal-pressure discharging is recovered. The protein thermal damage is reduced through negative-pressure low-temperature curing, heat and mass transfer is enhanced through gas-steam-fog three-phase pulsation, dissolved gas is separated out and nucleated through the flash evaporation process, a uniform loose porous structure is constructed, the rehydration property and texture property of the product are remarkably improved, and the product quality is improved. And the problems of surface hardening and non-uniform central curing caused by traditional cooking are solved.

The invention provides an unattended fresh food e-commerce cold chain system for merchants, and belongs to the technical field of fresh food cold chains, the unattended fresh food e-commerce cold chain system comprises a production system, a centralized distribution center system, a distribution system and a central server, the sorted products are packaged into a modular split charging box, and a first sensor group is arranged in the modular split charging box and comprises a three-axis MEMS acceleration sensor, a metal oxide semiconductor gas sensor array, an optical fiber smell sensor and a communication module; and the centralized distribution center system comprises a central distribution refrigeration box which is configured to receive and fix a plurality of modular sub-packaging boxes. According to the invention, the whole process forms a closed loop through the real-time monitoring of the sensor, the intelligent decision making of the central server and the cooperative execution of all systems, and the intelligent, safe and efficient management of the whole chain from production to distribution is realized.

The invention provides a fresh food order big data analysis method and system based on machine learning, and the method comprises the steps: firstly obtaining a fresh food order data set in a preset time period of a target region, and enabling the data set to cover an order timestamp, a fresh food class identifier, a user behavior track and environment parameter variables (including weather, logistics and regional consumption activity information); performing space-time dimension alignment processing on the fresh order data set to generate a standardized order sequence, analyzing a fluctuation mode of the standardized order sequence to extract order time sequence fluctuation characteristics and a category incidence matrix, and then using the fluctuation characteristics to adjust the weight of a pre-training order prediction model; and fusing with the multi-dimensional features of the category incidence matrix to generate a regional order prediction vector. And finally, iteratively optimizing a fresh stock allocation scheme according to the regional order prediction vector, and outputting an optimal stock allocation strategy meeting supply and demand balance constraints. According to the method, multi-dimensional information can be integrated, and accurate analysis and scientific inventory configuration are realized.

The invention is suitable for the technical field of heat shrink films, and provides a polyolefin cross-linked heat shrink film for fresh food packaging and a preparation method thereof.The heat shrink film is prepared from co-polypropylene, polyethylene, metallocene polypropylene, ethylene-octylene copolymer and a processing assistant.The invention further provides the preparation method of the heat shrink film. A five-layer or more-layer co-extrusion three-bubble method synchronous stretching production process is adopted, electron beam irradiation crosslinking is adopted, and the polyolefin crosslinking heat shrinkage film for fresh food packaging provided by the invention adopts a method of blending modification of low-softening-point elastomers such as metallocene polypropylene and POE, so that the shrinkage stress and initial shrinkage temperature of the film are reduced; a three-bubble method production process is adopted, the performance of the film is improved, crystal overgrowth is inhibited through a rapid cooling process, transparency and shrinkage uniformity are improved, and the mechanical property and thermal shrinkage of the film are improved through electron beam irradiation crosslinking.

The invention belongs to the technical field of foam box materials, and particularly relates to a degradable foam box for a cold chain and a preparation method of the degradable foam box. The degradable foam box for the cold chain is prepared from the following components in parts by mass: 70 to 90 parts of thermoplastic starch particles, 10 to 30 parts of modified polylactic acid particles, 10 to 20 parts of modified bamboo fibers, 2 to 5 parts of maleic anhydride polyester elastomer, 1 to 3 parts of plasticizer, 1 to 3 parts of plastic degradation flexibilizer and 0.5 to 1 part of nucleating agent, the modified bamboo fibers are bamboo fibers modified by nano calcium carbonate and cellulose nanocrystalline particles. The degradable foam box for the cold chain meets the basic performance requirements of degradable materials, has good compost degradation capacity and is suitable for fresh food distribution, cold chain packaging and other scenes.

The application discloses a method for inhibiting growth of pseudomonas by using fucoidan and application thereof, and is characterized in that the fucoidan is a degradation product of natural seaweed (sodium alginate), and is a linear oligosaccharide with a polymerization degree of 2-25 and composed of guluronic acid and mannuronic acid, and has the advantages of safety, health and no toxic side effects; in combination with the research of the inventors that the fucoidan can target and inhibit growth of pseudomonas in vitro and in intestinal flora, the fucoidan can meet the demand of practical application, can be used for delaying corruption and deterioration of fresh food caused by pseudomonas, and can be used for inhibiting growth of pseudomonas on the surface or in the body of aquatic products or fresh food, and has good application prospect and safety.

1. The name of the design product: fresh-keeping box (2508-1). 2. The use of the design product: used as a fresh-keeping box to store fresh food. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

1. Name of the product in this design: Shredder Food Storage Container (PB2509). 2. Application of this design: This design can be used for shredding and storing fruits, vegetables and other foods, and can also be used as a sealed container for storing, keeping warm and fresh food. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design. 6. Other situations requiring explanation: In this design, component 2 of component 1 is a metal shaving part; component 2 of component 2 of design 2 is a sealed dust cover; and A-A in the reference figure of design 2 is transparent glass.

The present invention relates to an automated storage and retrieval system (1) for storing product items (80). The system (1) comprises a framework structure (100) with upright members (102) and horizontal members (103) and a storage volume comprising storage columns (105) between the members (102, 103), wherein the framework structure (100) comprises a rail system (108) arranged above the members (102, 103). Storage containers (6, 106) are stackable in stacks (107) within the storage columns (105). Container handling vehicles (201, 301) are moving along the rail system (108) for transporting the storage containers (6, 106). The rail system (108) comprises rails (110, 111), each rail (110, 111) comprising tracks (110a, 110b, 111a, 111b). Adjacent tracks (111a, 111b) of at least one rail (111) of the rail system (108) are separated by a ventilation slot (30) extending in a vertical plane (VP) between two adjacent storage columns (105).

1. Name of the Design Product: Packaging Box (Fresh Food Corn on the Cob). 2. Use of the Design Product: Packaging box for holding items. 3. Design Feature of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Feature: Perspective view.

The invention discloses a water chestnut multistage screening method and system based on machine vision, and relates to the technical field of image recognition. The invention discloses a water chestnut multistage screening system based on machine vision. The system comprises a data acquisition module, an overall evaluation module, a preliminary grading module, a refined grading module, a grading verification module, a use prediction evaluation module and a quality statistics report module. Through a multi-stage screening system, preliminary grading is carried out on the basis of appearance and weight, precise screening results are provided for fresh food, juice, industrial purposes, disqualification and different processing and storage requirements through refined grading, various requirements from direct fresh food to industrial processing are met, and the screening efficiency is improved. Accurate support is provided for agricultural production, processing and logistics management.

The invention discloses a fresh food logistics cold chain dynamic monitoring method and device and a collaborative monitoring system, and belongs to the technical field of cold chain logistics. The storage monitoring model and the logistics monitoring model are selected through the server according to the knowledge graph corresponding to the first monitoring parameter, compared with a local maintenance model, the problem that adaptability becomes poor along with use of a local maintenance processing model and an existing processing model is avoided, and the accuracy of fresh product monitoring is improved; the storage monitoring model is generated by the long and short term memory network, and the logistics monitoring model passes through the multilayer sensor, so that the control method is prevented from depending on simple rule response, the reliability of fresh product processing is improved, the safety, traceability and efficiency of fresh product distribution are improved, and the risk of food deterioration and loss is effectively reduced.

The utility model discloses a fresh agricultural product packaging device which comprises a packaging machine, an unwinding frame and a winding frame are fixed to the two sides of the packaging machine respectively, an unwinding roller and a winding roller are installed in the unwinding frame and the winding frame respectively, a packaging table is fixed to the interior of the packaging machine, and the packaging table is fixed to the packaging machine. A first air cylinder is installed at the top of the portion, above the packaging table, of the packaging machine, a packaging pressing head is installed at the output end of the first air cylinder, a hot-pressing frame is installed at the bottom end of the packaging pressing head, and an adjusting mechanism is arranged in the portion, below the packaging table, of the packaging machine; the adjusting mechanism comprises a driving machine base, a small motor, a gear, a toothed plate, an adjusting arm and an adjusting plate. According to the automatic packaging and film covering machine, the automatic packaging and film covering functions are achieved, the processing efficiency is improved, fresh food can be conveniently and automatically adjusted in order, and the packaging effect is good.

The invention discloses a fresh food distribution method and system. Receiving fresh food purchase order information generated by the client; extracting article information and address information from the purchase order information of the target fresh food; based on the article information and the logistics address information, determining a fresh food distribution priority, a distribution mode and a distribution path; and determining delivery order information according to the fresh food delivery priority, the delivery mode and the delivery path. According to the invention, the information of the fresh food and the address information of the customer are determined based on the purchase information of the customer, and the type, the refreshing time and the storage condition of the food are determined according to the food information, so that the packaging mode and the delivery priority of the food are intelligently determined, and the delivery path is reasonably generated in combination with the address information. According to the method, the food which is most easy to expire is intelligently and preferentially distributed, so that the freshness of the food after distribution is ensured, the reasonability of food distribution and the safety of the food are effectively ensured, and the user experience is greatly improved.

This invention proposes a fresh food washing machine, including a washing tank. A pipe support is connected to the lower part of the washing tank, and the pipe support includes multiple support legs connected to the left and right sides of the washing tank. A hollow pipe connects the left and / or right support legs, communicating with the washing tank and allowing water and air to pass through. Inside the washing tank, a partition is connected to the inner wall of the tank. The partition is angled, forming a water tank between the partition and the end of the washing tank. A seal is provided between the bottom of the partition and the washing tank. This invention can conceal the aeration pipes and water circulation pipes, avoiding space occupation by the pipes. It has an aesthetically pleasing structure, is easier to clean than flexible hoses, ensures air cleanliness, saves materials, and is safe and reliable. Integrating the water tank into the washing tank increases the space around the washing tank, solving the problem of limited installation or operating space, reducing production costs, and facilitating installation and disassembly, saving time and effort.

The invention relates to a new method for preserving fresh food, in particular fresh agricultural products, by applying an alkaline solution and subsequently an acidic solution to the fresh food.