18 results about "Product source" patented technology

The invention provides a personalized recommendation method and system based on a knowledge graph, and relates to the technical field of knowledge graphs. The method comprises the following steps: firstly, collecting multi-source heterogeneous data such as basic information of a product source, a delivery period of a product, financial constraints, policy constraints and user behaviors, and writing the multi-source heterogeneous data into a shopping knowledge graph through intelligent cleaning and entity-relationship extraction; then, combining user budget, preference and purchase qualification to construct a user portrait, and reasoning and screening a compliance product source candidate set in the knowledge graph by taking the portrait as a retrieval condition; generating a comprehensive score for each product source in the candidate set according to the preference matching degree, the price adaptation degree, the matching integrity and the appreciation potential, and sorting the score; and finally, a plurality of product sources with the highest comprehensive score and corresponding three-section recommendation explanations are output, deep fusion of multi-source data is achieved, and it is ensured that the recommendation result is accurate, compliant and interpretable.

The present application relates to a kind of based on point source list and big product source flow direction modeling method of big product source, belong to traffic and environmental management technical field.It includes: constructing big cargo source database, using 5G positioning and big dipper trajectory data, by time-space fusion algorithm cleaning and reconstruction trajectory, identify key transport stop point;Dynamic spatial matching model is built to optimize correlation strategy, based on graph neural network integrates production plan and demand forecast generates potential path, through double-dimensional evaluation system planning candidate route;Adopt block chain technology to collect multi-source heterogeneous data, through intelligent prediction model realizes path classification and scheme formulation, and utilize adversarial generative network and expert knowledge graph to verify and update rule;Based on digital twinning technology realizes the dynamic mapping of transport path, through time-space big data analysis and causal inference model mining logistics correlation and forecast optimization direction.The accurate modeling and decision support of source-flow-direction relationship are realized.

The invention relates to a bulk product source flow direction modeling method based on a point source list and a Beidou track, and belongs to the technical field of traffic transportation and environment management. The method comprises the steps that a bulk goods source place database is constructed, 5G positioning and Beidou trajectory data are utilized, reconstructed trajectories are cleaned through a space-time fusion algorithm, and key transportation staying points are identified; constructing a dynamic space matching model optimization association strategy, integrating a production plan and demand prediction based on a graph neural network to generate a potential path, and planning a candidate path through a two-dimensional evaluation system; a block chain technology is adopted to collect multi-source heterogeneous data, path classification and scheme making are realized through an intelligent prediction model, and a generative adversarial network and an expert knowledge graph are utilized to verify and update rules; dynamic mapping of a transportation path is realized based on a digital twinning technology, and logistics association is mined and an optimization direction is predicted through space-time big data analysis and a causal inference model. And accurate modeling and decision support of the source-flow-direction relationship are realized.

A liquid distribution system includes a product source configured to contain a product to be distributed; at least one filter in fluid communication with the product source; at least one spray nozzle in fluid communication with the filter(s) and configured to spray the product received from the product tank via the filter(s); a spray valve between the filter(s) and the at least one spray nozzle; a drain valve in fluid communication with the filter(s); and a controller. The controller is configured to clean the filter(s) by changing a position of the spray valve; opening the drain valve; and delivering the product from the product source through the filter(s) to the drain valve. Related vehicles and methods are also disclosed.

The present application belongs to the technical field of fruit and vegetable transportation, and particularly relates to an e-commerce transportation method of high-temperature yellow-ripe bananas. The present application transports and sells bananas by combining and packaging bananas of different ripeness degrees according to transportation air temperature and transportation time, can use the time in the transportation process to ripen, and thus slowly ripens bananas of different ripeness degrees, so that consumers can receive a combination of bananas that can be directly eaten and bananas that can be ripened by continued storage, and ensure that consumers can eat bananas with correct ripeness and taste. Meanwhile, the e-commerce transportation method of the present application directly transports bananas from the field source to consumers through express delivery, that is, a new industry form that directly sells bananas from farmers to consumers, reduces intermediate links and time, is easier to trace the product source, can timely feedback the production and sales situation of varieties, ensures the quality of bananas, reduces the price of bananas, and improves the sales volume of bananas.

The application relates to the technical field of product marketing, in particular to an online and offline traceability marketing system and method for agricultural products, which comprises a quality monitoring unit, an product traceability unit and a code scanning and recording unit.The quality monitoring unit is used for monitoring the environmental data of target agricultural products in real time, and determining the quality attenuation coefficient of the target agricultural products according to the environmental data.The product traceability unit is used for generating a traceability code according to the quality attenuation coefficient and the space-time information of the target agricultural products.The code scanning and recording unit is used for printing the traceability code on the packaging of the target agricultural products.Through real-time monitoring of the environmental data of target agricultural products and generation of a traceability code, consumers can obtain detailed information of the agricultural products by scanning the code, including the production environment, quality control, attenuation condition and the like.Transparent traceability information enhances the trust of consumers in product quality, especially in the background of increasing attention to food safety and the source of agricultural products.

This invention relates to the field of logistics technology, specifically to a traceability management method and system for industrial products. The method includes the following steps: reading operation count values ​​and timestamp values; matching segment numbers according to a segment interval table; reading batch codes and product serial numbers; combining node numbers with entry and exit times; comparing the number order to supplement information; and associating segments with product codes to obtain product traceability information. In this invention, by reading equipment operation count values ​​and matching them with timestamps and operation segment interval tables to generate equipment operation segment information, and combining this information with the production line equipment number sequence to write into the product identifier, the ability to present production status and sequence is improved. In the logistics flow, by comparing the entry and exit time sequences and establishing a continuous relationship by combining scan numbers with preceding numbers, and associating node sequences with equipment operation segments and product codes, a continuous link between production stages and logistics flow is constructed, reducing the impact of mis-ordered records on product origin determination.

This invention discloses a user targeting method based on big data analysis, belonging to the field of user targeting technology. It addresses the problems of reduced shopping cart conversion efficiency and increased resource waste in recommendation systems. By setting an analysis time, the method monitors the frequency of user visits to the shopping cart to determine whether the user enters the product analysis mechanism. When the product analysis mechanism is entered, the method statistically analyzes the access interval of various products, extracts the user's conversion cycle benchmark from the historical database, calculates the interaction decay characteristics based on the access interval, and analyzes the cooling-off ratio to determine whether the user is in the interest cooling-off stage. For the interest cooling-off stage, the method extracts the product dwell time and product source information, calculates the channel stickiness index of different product source channels, and comprehensively calculates the scheduling priority score by combining the channel stickiness index and product dwell time. This adjusts the display order of products in the shopping cart, increasing the display weight of high-potential products and improving shopping cart conversion efficiency and recommendation accuracy.

The invention discloses an oil and gas product and by-product reserve assessment method and a related device. The method comprises the following steps: determining a by-product source and extracting a by-product; splitting a by-product yield from the extracted by-product; establishing an affiliation model by using the split byproduct yield; and establishing an evaluation method according to the established affiliation model. According to oil and gas production changes, the oil consumption per ton is quantitatively calculated, a reasonable evaluation method is selected in combination with actual production to evaluate reserves, and compliant reasonable evaluation and oil and gas reserves disclosure are achieved.

The invention relates to the field of product data asset information technology application, and discloses a product full life cycle generality BOM model construction method and related equipment, and the method comprises the steps: obtaining a BOM demand structure of a new product and a repaired product in a product full life cycle; based on the current BOM structure, reversely analyzing BOM table demand structures of business domains of two important stages of a new product and a repaired product in a full life cycle of the product to obtain a BOM missing item and a BOM generality analysis result; according to the analysis result, respectively reconstructing a complete BOM model structure of the new product and a complete BOM model structure of the repaired product; and on the basis of the obtained complete BOM model structures of the new product and the repaired product, identifying a product generality BOM model, establishing a data reference relationship between BOMs, and completing construction of a product generality BOM table. The technical problems of product source BOM structure integrity and data homology in the prior art are solved.

The utility model discloses an anti-fake traceability interlink cap, which belongs to the technical field of bottle caps, and is characterized by comprising an outer cap body and an inner cap body, the inner cap body is arranged inside the outer cap body, the outer cap body is rotatably connected with the inner cap body, the inner cap body is matched with a bottle opening, and the inner cap body is connected with the inner cap body. A connecting bridge is arranged between the opposite sides of the outer cap body and the inner cap body, a weak notch is formed in the connecting bridge, a sealing gasket is arranged in the inner cap body, and the anti-fake traceability of the bottle cap is improved from multiple dimensions by arranging the anti-fake traceability mark which is of a multi-layer composite structure; a unique biological identity card can be endowed to the product and is difficult to copy; and the complexity and the uniqueness of visual anti-counterfeiting are increased, so that consumers can quickly and conveniently verify the authenticity of the product and trace the source of the product, the difficulty and the cost of counterfeiting are greatly improved from the technical level, and a powerful anti-counterfeiting traceability guarantee is provided for the product.

The invention discloses an agricultural and sideline product e-commerce platform operation management system and method, relates to the technical field of e-commerce platform operation management, and aims to solve the technical problems of non-standard agricultural and sideline product field supervision, distribution strategy optimization, supply chain traceability and field after-sales. The system comprises a group management end, a user end and a merchant end, and the method comprises the following steps: defining boundary data of an area administered by the group management end on a map, determining a corresponding authority relationship, generating a unique identification group ID to be bound with the group management end, and adding the merchant end into the group ID of the group management end where a production / operation place is located based on address information; the system obtains order receiving address information of a user side and establishes an association relationship between an order after-sales module and a group management side where a receiving address is located; a merchant end exclusive two-dimensional code is set as an information carrier, and a two-dimensional code hierarchical association logic traceability chain of an agricultural and sideline product source producer identifier and a supply chain identifier is constructed, so that the full supply chain traceability of an order is realized, and the food safety is guaranteed.

A method of product detection includes receiving, at a product detector from a product source, a first annotation package for a first product and a second annotation package for a second product. An artificial intelligence model is trained to detect the first product based on the first annotation package and the second product based on the second annotation package. The artificial intelligence model is implemented on the product detector. At the product detector, the first product is categorized into a first category of products and the second product is categorized into a second category of products. A subscription is received from a retailer to one of: the first category of products; the second category of products; and the first category and the second category of products. An image is received at the product detector from the retailer. The first product is detected in the image by the artificial intelligence model.

A method of obtaining images and data to train an AI model for product detection includes generating, with an image collection system at a first product source, a first annotation package including one or more images of and data about a first product. The first product is placed in a first enclosure located at the first product source. A process for obtaining the one or more images of the first product is initiated in the first enclosure. The one or more images of the first product is obtained with one or more cameras positioned in the first enclosure. The one or more images of the first product is provided to an edge compute device. Data about the first product is input, using an input device, into the edge compute device. An annotation package for the first product is created that includes the one or more images and the data.

The application discloses a kind of digital warehouse management method and system, it is related to warehouse management technical field, including: obtaining receiving batch product warehousing information, extraction product transport area information and product source area information;Based on relational database to build storage architecture, according to product transport area information to generate first segment code, according to product source area information through encryption algorithm to generate the second segment code of product;Through CRC-32 cyclic redundancy check algorithm to obtain check code, in combination with the first segment code and second segment code to generate product information coding;According to the first segment code of product information coding to allocate the warehouse storage area of product, generate storage management information table, according to the second segment code of product information coding to carry out classification registration to product, generate inventory data information table.Through the construction of double segment coding data model, execute encryption processing and role-based access control, the problem that the existing warehouse system operation efficiency is low, data security risk is high is solved.

A liquid distribution system includes a product source configured to contain a product to be distributed; at least one filter in fluid communication with the product source; a rinse liquid source configured to contain a rinse liquid; at least one spray nozzle in fluid communication with the filter and configured to spray the product received from the product tank via the filter; a source valve between the product source and the filter; at least one drain valve in fluid communication with the filter; and a controller. The controller is configured to clean the filter(s) by stopping flow of the product from the product source through the source valve; delivering the rinse liquid from the rinse liquid source to the filter(s); and opening the drain valve(s). Related vehicles and methods are also disclosed.

The invention discloses a light aging simulation and toxicity detection method for plastic microbeads from wash care products, and belongs to the technical field of cosmetic detection, and the method comprises the following steps: (1) extraction and purification; (2) aging treatment; (3) physical and chemical characterization and free radical detection; and (4) biotoxicity detection. The method provided by the invention provides a set of complete methodological process of extracting the microbeads from the wash care products, simulating light aging, detecting free radicals and evaluating biological toxicity; the system reveals the toxicity risk of the light aging plastic microbeads in the environment, and provides a scientific basis for environmental health risk assessment and product safety supervision; the method is an operable and repeatable standard method, can simulate the aging process of the microbeads in the environment at the same time, and comprehensively evaluates the potential toxicity effect of the microbeads.

The invention refers to a method for controlling and / or monitoring a production of a product. From a digital representation of the product, pre-products are derived. A BOM for the chemical product is generated based on a recipe and the derived pre-products. Based on the BOM, for the pre-product environment parameters for product sources of a pre-product are determined. The BOM and the determined environment parameters for the respective pre-products are provided for controlling and / or monitoring a production of the chemical product.