51 results about "Fresh food" patented technology

This invention discloses a six-stage precision feeding standard fresh food meal formula for dogs and its preparation method, belonging to the pet food field. Addressing the lack of precise, stage-specific nutritional management in existing canine fresh food, this invention proposes a six-stage feeding system based on the canine life cycle. The six stages include: puppyhood, adulthood, early seniority, middle seniority, advanced seniority, and special periods. This system provides a basic transitional formula and derives specialized formulas for each stage based on a set of dynamic nutritional adjustment rules. The puppy formula is further subdivided into four sub-stages. The preparation method includes standardized steps such as stage determination, ingredient processing, nutritional fortification, and texture adaptation. This invention achieves precise, safe, and easy-to-operate home fresh food feeding for dogs throughout their entire life cycle and under special conditions.

The utility model relates to the technical field of disinfection and fresh -keeping, a kind of disinfection and fresh -keeping device for fresh food processing, including box, the left and right sides of box are respectively provided with opening, the inside rotation of box is connected with conveying roller, the inner wall of box is fixedly connected with U-shaped frame, first spray head is arranged on the U-shaped frame, the front and rear two side inner walls of box are fixedly connected between limit rod, the front and rear two side inner walls of box are rotatably connected with threaded rod, the inside of box is provided with intercommunication board, the lower surface of intercommunication board is fixedly connected with circular ring, the inner wall of circular ring is provided with second spray head, the inside of circular ring and intercommunication board are communicated, the upper surface of intercommunication board is fixedly connected with two connecting ears, the movement of intercommunication board and circular ring drive second spray head to move, and the surface of conveying roller is cleaned using second spray head, avoid food residue to form influence on subsequent food by remaining on conveying roller.

The application discloses a fresh-consumption type sweet potato yield-increasing and quality-improving regulator fertilizer and an application method and application thereof, and belongs to the field of agricultural technology. The regulator fertilizer comprises a plant growth regulator (uniconazole and mepiquat chloride), a nutrient element fertilizer (a phosphorus source and a potassium source), a biological stimulant and a trace element fertilizer. Preferably, the biological stimulant comprises alginic acid and amino acid, and the trace element fertilizer comprises zinc, boron and iron. The application further provides an application method of the fertilizer, which comprises root dipping treatment and foliar spraying. The application realizes comprehensive regulation on the growth of sweet potato by compounding uniconazole and mepiquat chloride and combining a phosphorus and potassium source, trace elements, a biological stimulant and a synergist, and has remarkable effects in controlling stem and vine growth, promoting tuber enlargement, improving yield and quality, enhancing plant stress resistance and the like, and is low in cost, convenient to apply and has a wide application prospect.

This invention relates to the field of fresh food supply chain pricing technology, and particularly to an AI-powered dynamic pricing and inventory coordination system for fresh food supply chains. The system includes: a data acquisition module for collecting relevant data from the fresh food supply chain via a data acquisition terminal; an AI pricing model construction module for iteratively training a fusion model and outputting fusion models with loss function values ​​below a preset value as AI pricing models; a pricing generation module for analyzing preprocessed data based on the AI ​​pricing model; a pricing and inventory coordination module for analyzing the inventory status of fresh food products; and an anomaly warning module for performing anomaly analysis on the operational status of fresh food products, generating warning analysis results when the anomaly analysis results meet preset warning conditions. This invention can achieve coordinated optimization of dynamic pricing and inventory management by combining real-time inventory status, freshness level, and supply and demand changes of fresh food products, thereby improving the response speed of the fresh food supply chain.

1. Name of the product in this design: Fresh Food Ordering and Fish Keeping Cabinet. 2. Purpose of this design: for refrigerating, preserving and displaying food. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model discloses a sanitary food conveying device with cleaning function, water absorption subassembly includes sponge body, and sponge body is with the butt of conveyer belt bottom surface, and cleaning box is filled with detergent, and detergent enters clean cloth position and with the butt of conveyer belt bottom surface, and cross rubbing cloth center position rotation is connected with fixed plate, and fixed plate one end is with end plate lateral surface fixed connection, and cross rubbing cloth top end is with the butt of conveyer belt back, and water spray box is filled with disinfectant, and water spray box top end is equipped with a plurality of spout, and spout opening face faces conveyer belt reverse, and water absorption strip one end is with the butt of conveyer belt reverse, through setting up a plurality of cleaning components on the back of conveyer belt to clean the conveyer belt surface that transports fresh food, through the cleaning sequence of water absorption subassembly, cleaning box, cross rubbing cloth, water spray box and water absorption strip, the problem of blood water, grease, microorganism is cleaned step by step, and the conveyer belt after cleaning can reduce the pollution to food surface.

The present invention provides a method for providing an artificial intelligence model-based LCL optimization service for fresh food cold chains, wherein the method is performed by at least one server. The method comprises a step of training an artificial intelligence model to learn an optimal loading location for fresh food on the basis of information regarding a transport route and a transport period of a first container, information regarding a type and a quantity of first fresh food, information regarding temperature and humidity of the first container, information regarding a loading location of the first fresh food, and a difference between a departure state and an arrival state of the first fresh food.

The application discloses a fresh supply chain whole-link precise fresh-keeping method based on big data analysis, and relates to the technical field of fresh supply chain management and intelligent fresh-keeping. The method firstly deploys a multi-dimensional sensor network at each link of the fresh supply chain, collects environment, quality and operation data and carries out pretreatment; then automatically extracts key fresh-keeping indexes of fresh products through a trained index recognition model, and screens out significant influencing factors by using an iterative feature engineering method; next, a phased fresh-keeping parameter prediction model based on a frequency enhancement decomposition Transformer algorithm is constructed, and the optimal fresh-keeping control parameter is obtained by solving a multi-objective real-time optimization model by using a lynx optimization algorithm; finally, whole-link dynamic self-adaptive fresh-keeping control is realized through a 5G communication network, and a closed-loop feedback mechanism is established to continuously optimize the model. The application realizes precise collaborative fresh-keeping of the whole process of the fresh supply chain, can significantly reduce fresh loss rate and fresh-keeping energy consumption, and improve fresh product quality and supply chain operation efficiency.

1. Name of the product in this design: Foldable Insulated Bag. 2. Intended use of this design: This design is intended for holding items in ready-to-eat food delivery, fresh food cold chain, and outdoor catering scenarios. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. Other situations requiring explanation: The usage status reference diagram shows the state of the insulated bag after folding and storing.

The application discloses a supply chain commodity anomaly detection method and system based on cross-section price-volume divergence. By aligning the multi-region price table and the sales table into a unified panel, the robust price z and sales z of the commodity dimension and the classification dimension are calculated for each (commodity, node) observation point, and then the weighted sum of the price-volume coupling divergence index, the single-dimensional extreme index and the sparse penalty is taken as the anomaly score, and the semantic labels such as high price and high sales, low price and low sales, price island and sales island are given according to the price-volume z quadrant. The method does not depend on time series and can work on single-period snapshot data, has robustness for boundary conditions such as single commodity quotation point scarcity and distribution degeneration, the output can be directly understood by business personnel, and can be widely applied to commodity anomaly monitoring in scenes such as chain catering, retail, fresh food distribution and the like.

The present application relates to the processing technology field of fresh food packaging, in particular to a low-grammage paper-based fruit cushion material and a preparation method thereof. The preparation method comprises the following steps: taking a plurality of low-grammage papers, coating the papers with food-grade adhesive, and then preliminarily pressing to obtain a composite paper blank; the paper blank is subjected to moisture conditioning treatment to control the water content at 12%-15%; the paper blank after moisture conditioning is subjected to multiple pressing in sequence, and the pressing pressure is distributed in a gradient distribution mode of first increasing and then decreasing; the paper blank after pressing is placed in a concave-convex mold for mold pressing and shaping; the blank is cut and naturally dried, and the water content of the finished product is maintained at 6%-8%. Through the synergistic effect of precise water content regulation and gradient pressing process, the folding strength of the product is increased by 25%-50% compared with the original paper, and the product can be used as an environmentally-friendly alternative packaging piece of foamed plastic net cover.

This utility model relates to the field of production and packaging technology, and discloses an integrated automatic weighing and printing fresh produce conveyor line. This integrated automatic weighing and printing fresh produce conveyor line includes: an automatic conveying component; a weighing structure component connected to the upper right side of the automatic conveying component; a weighing control system installed at the upper end of the weighing structure component; a display screen connected to the upper end of the weighing control system; a signal amplifier connected to the upper rear of the display screen; a signal receiver connected to the right side of the signal amplifier; a PLC controller connected to the front end of the signal receiver; and a printing structure component installed at the front end of the weighing structure component. This effectively prevents discrepancies between the actual weight and time printed on the control card and the actual weight and preparation time during the production process, thus avoiding negative impacts on product taste and consumer experience, and solves the aforementioned technical problems.

The utility model relates to the technical field of refrigerator, concretely relates to a modularization intelligent fresh food storage cabinet. The scheme of the present application can accurately identify the preset temperature and humidity parameters corresponding to the food material through the meshing of the rack and the gear encoder at different positions on the food label card, provides suitable storage environment for different food materials, effectively guarantees the freshness and quality of the food material, when the food label card is pulled out, the reset structure makes the gear encoder quickly recover to the initial position, and the reset signal is transmitted to the controller, the storage compartment is timely adjusted to the default temperature, avoids the energy waste, and improves the energy utilization efficiency. Compared with the complex electronic identification system such as RFID radio frequency identification and image recognition, the use of electronic components is greatly reduced, expensive sensors and complex algorithm programs are not needed, and the hardware procurement cost and software development cost are reduced.

This application relates to the field of food processing technology, specifically disclosing a high-energy electron beam-based irradiation sterilization and preservation process for fresh food. This process is applicable to the sterilization and preservation of fresh vegetables, fruits, cut foods, and prepared dishes, and consists of four core steps: raw material pretreatment, sealed packaging, high-energy electron beam irradiation treatment, and post-irradiation suitable preservation storage. Pretreatment removes impurities and controls moisture content in the raw materials; packaging uses a food-grade radiation-resistant composite film to form a sealed package; sterilization is achieved through electron beam irradiation; and finally, preservation storage is completed in an environment suitable for the characteristics of the food category. This process designs differentiated process parameters for different types of fresh food, achieving a synergistic effect of sterilization and preservation. It can effectively kill microorganisms while maintaining the inherent quality of fresh food, and the entire process uses physical treatment methods with no chemical residues. It is adaptable to various fresh food processing needs and is easily applied on an industrial scale.

This invention discloses a manufacturing process for a cold chain logistics insulated box and the insulated box thereof, belonging to the field of insulation materials. This invention achieves a synergistic improvement in the thermal conductivity, flexibility, energy storage density, and reliability of cold chain logistics cold storage materials by constructing an expanded graphite-sodium polyacrylate dual-network composite structure. Using a combination of vacuum impregnation and in-situ polymerization, a flexible sodium polyacrylate polymer network is constructed within the three-dimensional thermally conductive skeleton of expanded graphite, forming a rigid-flexible interpenetrating dual-network structure. By controlling the type of phase change material (water-based or eutectic salt system) and the composition of the dual network, the phase change temperature can be precisely adjusted within the range of -21°C to 0°C, covering the full temperature range requirements of fresh food preservation, pharmaceutical cold chain, and cryogenic freezing. The water-based system is suitable for short-term, high-frequency, and cost-sensitive scenarios; the eutectic salt system is suitable for long-term, high-temperature challenges, and high-reliability scenarios, forming a complementary technical solution.

1. Name of the product in this design: Fresh Food Machine (Zhi Xiaoman Smart Terminal Fresh Food Machine). 2. Purpose of this design: For use in fresh food machines. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention discloses a method and system for redeeming points in an online fruit marketplace based on dynamic pricing according to freshness. It relates to the field of online fresh food e-commerce operation technology. The method includes collecting comprehensive product information of target fruits in the online fruit marketplace, continuously monitoring and generating a dynamic state stream containing a time-ordered sequence of remaining inventory and environmental storage parameters. A baseline freshness decay model is determined by matching the batch code and initial freshness assessment value with a freshness decay knowledge base. An adaptive freshness decay prediction model is obtained through real-time environmental storage parameter correction, outputting a freshness prediction trajectory for future time points. Based on the freshness prediction trajectory, the initial points pricing is dynamically reduced to generate a dynamic points pricing list. Combined with the inventory sequence, a collaborative analysis of pricing and inventory, and points redemption matching are completed. This invention can improve the accuracy of freshness prediction and achieve dynamic adaptation of points pricing to product freshness and inventory status.

This invention relates to the field of fresh food supply chain management technology, and more particularly to an artificial intelligence-based fresh food supply chain scheduling system, comprising: a state perception module, a scheduling triggering module, a prediction optimization module, a rule correction module, a cost feedback module, and a hierarchical optimization module. The state perception module collects multi-source data and extracts system state characteristics; the scheduling triggering module dynamically determines the cycle duration and triggering conditions, periodically executing global scheduling or local rescheduling; the prediction optimization module generates demand forecasts using an asymmetric loss prediction model and inputs them into an operations research optimization model to generate an initial scheduling scheme; the rule correction module filters and corrects the initial scheme based on hard and soft constraint rules to generate a final scheduling scheme; the cost feedback module feeds back actual costs to the prediction model to adjust weights; and the hierarchical optimization module attributes problems to their causes based on the deviation characteristics of actual execution data and selectively updates parameters.

The application discloses a kind of based on recyclable composite nanometer colorimetric sensor array Freshness detection method of fresh food, belong to colorimetric sensing, olfactory visualization and information intelligent processing technical field.Through the proportion of regulation material realizes optimal dyeing film condition and reaction effect, through the reduction speed of porous material adjustment colorimetric sensing unit reaches the recyclable use of colorimetric sensor array, according to the construction of colorimetric sensor array builds flow line scanning equipment, in combination with a variety of algorithms carries out data filtering, contour detection and feature extraction, in combination with national standard volatile base nitrogen determination method constructs Freshness CARS-PLS quantitative evaluation model of fresh food, the chromogenic mechanism and recyclable mechanism of color array and fresh food are analyzed, realize accurate, specific and sensitive indirect detection to Freshness of fresh food;The application expands olfactory visualization detection to color-sensitive sensing field, in combination with recyclable colorimetric sensor technology, gas information is presented as image color, convenient for information intelligent processing.

This invention discloses a preservation optimization method and system based on large-scale model data, relating to the field of fresh food supply chain preservation technology. The method includes: acquiring multi-dimensional sensing data on the environment, physiological state, and logistics of each link in the perishable fresh food supply chain; preprocessing this data to obtain standardized data; inputting this data into a pre-trained preservation status prediction model to obtain the remaining preservation time and spoilage risk level; calculating the comprehensive cost of candidate paths using an environmental sensitivity cost model combined with cost parameters; selecting the optimal path that meets preservation requirements and has the lowest cost; and generating preservation strategies such as temperature and humidity control and temporary holding intervals. The system includes modules for data acquisition, preprocessing, preservation status prediction, cost calculation, and path optimization and strategy generation. This invention achieves intelligent preservation and path optimization throughout the entire process, improving preservation accuracy and cost-effectiveness, reducing supply chain losses, and providing technical support for the preservation management of perishable fresh products.

The application provides a continuous loading and unloading device for box goods or bag goods, which comprises a crawler-type driving chassis, a rotating mechanism, a pitching mechanism, a head cargo receiving machine, a vertical lifting machine, a relay cargo receiving machine, a relay conveyor and a ground cargo receiving machine; goods are placed on the head cargo receiving machine by manual operation, the head cargo receiving machine sends the goods to the bottom of the vertical lifting machine, the vertical lifting machine lifts the goods to the top thereof, and the goods are transferred to the relay conveyor through the relay cargo receiving machine, the relay conveyor downwardly inclines to transport the goods to the ground cargo receiving machine, and the unloading operation is completed. The device is very suitable for a cold-chain fresh food transfer wharf, and can complete the continuous loading and unloading operation of the ship-borne box goods or bag goods fresh food, and realizes the continuous automatic operation.

The utility model discloses a kind of fresh food preservation storage cabinets for logistics distribution, including fresh-keeping cabinet main body, the front surface of fresh-keeping cabinet main body is movably installed with cabinet door, the inside two sides surface of fresh-keeping cabinet main body is fixedly installed with support plate, the support plate between the inside two sides of fresh-keeping cabinet main body is installed with supporting plate, the inside of support plate is embedded with limit piece, the side surface of support plate and located above and below is equipped with clamping groove, clamping groove is equipped with lifting groove, the quantity of lifting groove is two, the inside of support plate and located the side of clamping groove is equipped with slot, the inside side surface of clamping groove and close to front and rear is equipped with limit groove. A kind of fresh food preservation storage cabinet for logistics distribution described in the utility model, when needing to adjust the use position of supporting plate, by pulling limit piece forward, so that the plug post of limit piece is extracted from the clamping sleeve of supporting plate, the height position of supporting plate can be conveniently adjusted.

This invention provides a method for planting fresh-eating sweet potatoes in a late-season rice rotation, relating to the field of agricultural technology. The method involves precise early spring cultivation of fresh-eating sweet potatoes: land preparation and ridging are carried out in mid-to-late March, followed by 3-5 days of sun-drying before transplanting short-growing-period fresh-eating sweet potato seedlings. Mechanized harvesting is conducted in early to mid-July, enabling early market availability of fresh sweet potatoes. After sweet potato harvest, the vines are immediately crushed and rotary tilled back into the field. Late-season rice is machine-transplanted in late July. Mechanized harvesting of the late-season rice is carried out at the end of October. The method also includes precise return of rapeseed green manure to the field and soil conservation: after the late-season rice harvest, rapeseed green manure is directly sown in early to mid-November using 2.0-2.5 kg / mu (approximately 0.067 hectares) without tillage. During the rapeseed flowering period in late February or early March of the following year, the rapeseed stalks are naturally softened, lodged, and partially decomposed in the field through irrigation for 7-10 days. After flooding, the field is drained and dried promptly. Calcium peroxide is applied at 15g / mu (approximately 0.067 hectares) during tilling and ridging before sweet potato planting. kg, entering the next round of early spring cultivation of fresh-eating sweet potatoes. This invention has the advantages of high economic value and low cost.

1. Name of the product in this design: Packaging Bag (Fresh Food Legend). 2. Purpose of this design: This design is used for packaging pet food. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key features: the front view.

The invention of a baby food formulation using fresh food ingredients with an indirect steam method, which is used in the field of children's food supplements; to solve the problem of inappropriate textures and unpleasant flavors in food products available on the market, which are usually prepared from processed or dried foods, which leads to the loss of many nutrients and a decrease in the overall quality of the product. With this solution, it is to provide an optimal formulation using fresh food ingredients with an indirect steam method to obtain the best formula with the texture and flavor that is needed. This method not only preserves more nutritional value and nutrients, but also provides a more pleasant consumption experience for children.