177 results about "Product analysis" patented technology

The invention discloses an all-sky cloud imaging real-time simulation method of a three-dimensional structure, which is used for realizing real-time rapid simulation of a cloud image with set spatial resolution per hour, and comprises the following steps: obtaining basic geographic information data of a research area; carrying out background field data fusion; interpolating the ground meteorological data collected in real time to the grid points of the research area by adopting an interpolation method; obtaining surface meteorological analysis and background field data, and realizing three-dimensional temperature analysis according to a static relation; obtaining an initial guessing field of three-dimensional cloud analysis, and obtaining a three-dimensional cloud analysis field in combination with three-dimensional temperature analysis; an initial three-dimensional water vapor analysis field is obtained according to the background field data, and three-dimensional water vapor analysis is realized by performing optimization iteration solution on a target function; obtaining soil humidity analysis according to the surface meteorological analysis and the three-dimensional cloud analysis field; according to the surface meteorological analysis, the three-dimensional temperature analysis, the three-dimensional cloud analysis field and the three-dimensional water vapor analysis, derivative product analysis is achieved; and simulating to obtain all-sky imaging data.

The invention relates to the technical field of green product analysis, and discloses a green product full life cycle analysis system based on big data. The system comprises a data acquisition module, a preprocessing module, an environmental impact assessment module, a resource consumption optimization module, an association modeling and result generation module and a visual interaction module. The system collects data of all stages of a full life cycle and related element data of environment, resources, carbon emission and the like, after preprocessing of abnormal value elimination, entropy weight method weighting and the like, environment influence is dynamically evaluated through a fuzzy membership function, resource consumption is subjected to multi-objective optimization by utilizing a genetic algorithm, and the resource utilization rate is improved. A key stage is determined by means of grey relational degree, an analysis result is generated in combination with a multi-target decision model, and finally the analysis result is visually presented in the form of a three-dimensional map and a dynamic thermodynamic diagram. The system realizes efficient analysis and comprehensive evaluation of full-life-cycle data of green products, and provides scientific support for product environment performance optimization and decision making.

The invention belongs to the field of mineral product analysis, and particularly relates to a mineral product component detection method and a detection device.The detection device comprises a supporting frame, a connecting frame is fixedly connected to one side of the supporting frame, a gear motor is fixedly connected to the top of the supporting frame, and a first winding roller is fixedly connected to the output end of the gear motor; the outer side of the first winding roller is fixedly connected with a suspension cable in a winding mode, an adjusting assembly is arranged on the side, away from the connecting frame, of the supporting frame and used for adjusting the horizontal position of the suspension cable, a detection module is arranged at the bottom of the suspension cable, and ore analyzers are arranged on the two sides of the detection module. The component analysis function of the mineral products on the mine wall can be completed only by the aid of the detection module, exploration personnel do not need to perform sinking operation, potential safety hazards are reduced, the detection module is small in structure, vertical movement and horizontal movement of the detection module are convenient to adjust, and detection efficiency is improved.

The invention provides a neutron dose evaluation method and system based on mobile phone neutron activation product analysis, and the method comprises the steps: constructing an equivalent medium model for replacing a real mobile phone, and carrying out the neutron energy spectrum solving through the mobile phone activation product. The neutron energy spectrum can be reconstructed on site in daily scenes without professional equipment, such as villages, streets and shopping malls, so that the uncertainty of individual dose is reduced to a level equivalent to that of a laboratory spectrometer, the dependence on a multi-ball spectrometer, a TOF spectrometer and professionals is thoroughly eliminated, rapid and accurate measurement of the neutron energy spectrum and large-scale population dose evaluation are realized, and the accuracy of the neutron energy spectrum is improved. And a basis is provided for delimiting the influence range of the nuclear event, judging the event level of the nuclear event and formulating a hierarchical medical rescue scheme.

The invention relates to the technical field of market analysis, in particular to a brand positioning optimization method based on big data, and the method comprises the steps: collecting multi-channel brand performance data, calculating a mean value, extracting a co-occurrence relation between emotion words and labels in comments, judging an emotion and image matching structure, and analyzing competing product label frequency difference and cognitive overlap. And identifying a user portrait and emotion offset, and merging expression gaps to generate an optimization suggestion scheme. According to the method, differentiated collection and unified coding are performed on multi-channel indexes, a brand expression structure capable of cross comparison is constructed, data definition is improved, comment words and brand labels form a co-occurrence matrix, an emotional expression structure under the value dimension is extracted, competitive product analysis locates a cognitive blank on the basis of label difference and coverage degree, and the competitive product analysis accuracy is improved. The emotion deviation value and the label acceptability are introduced as dynamic parameters by user division, and finally a fusion label missing and emotion space is output, expression reconstruction and crowd adaptation are completed, and dynamic linkage and positioning updating of a brand structure are realized.

The invention discloses an agricultural product quality safety full-chain tracing system based on multi-node cooperation, and relates to the technical field of agricultural product analysis. Comprising a history acquisition module, a map construction module, an analysis node module, an analysis uplink module, an analysis management and control module, a query display module and a comprehensive rectification module, wherein the history acquisition module is used for acquiring full-chain data of various fruits in recent 3-5 years and preprocessing the acquired data; the map construction module is used for carrying out feature extraction and correlation analysis on the preprocessed full-chain data of various fruits; according to the technical key points, technologies of knowledge graph, block chain link-by-link chaining, unique fruit coding, nodal quality evaluation and consumer feedback rectification are comprehensively used, so that full-process tracing is realized, data in each link is ensured to be real and traceable, production, logistics, supervision and consumer multi-node collaborative participation are promoted, and the system is suitable for large-scale popularization and application. The method provides support for follow-up exception cooperative processing and system iteration, and has a good use prospect.

The invention relates to the technical field of enterprise product analysis, in particular to an enterprise information processing method and device based on a large language model, equipment and a storage medium. The method comprises the steps of obtaining a target page group of a to-be-analyzed enterprise; performing data cleaning on the parent page and the child page of the same target page group, and obtaining page information of the target page of the to-be-analyzed enterprise after data cleaning; constructing an enterprise product tree based on the page information of all the target pages; performing link analysis on the enterprise product tree to obtain a page source code block corresponding to the to-be-analyzed enterprise; and inputting the page source code block into a preset large language model, and performing product information extraction on the page source code block through the preset large language model to obtain enterprise product information corresponding to the to-be-analyzed enterprise. According to the method, the enterprise product information of the to-be-analyzed enterprise can be obtained, so that the problem that an enterprise product library is difficult to construct is solved, the blank of enterprise product library resources on the market is filled, and the beneficial effects of enabling enterprises, industries and industry analysis are finally realized.

The invention discloses an APP response time analysis method based on a deep neural network and distributed computing, and belongs to the technical field of software testing. The method comprises the following steps: loading a video by recording an APP page, and splitting and preprocessing the video frame by frame by using a distributed CPU server to generate reasoning data; and the central GPU server performs reasoning based on the trained deep network model, judges the state of each frame, determines accurate starting and ending frames of page loading through a distributed post-processing mechanism, and accurately calculates the loading time perceived by a user. According to the method, the loading time perceived by the user is accurately reflected, and the method is suitable for cross-platform competitive product analysis; resource utilization is optimized through intelligent distributed calculation, large-scale video processing time is greatly shortened, meanwhile, an automatic decision-making mechanism is introduced, manual intervention cost is reduced, and full-automatic efficient performance testing and analysis are achieved.

The invention discloses a method for analyzing the influence on the quality of colored highland barley based on altitude gradient, relates to the technical field of agricultural product analysis, and provides a method for analyzing the influence on the quality of colored highland barley based on altitude gradient, which comprises the following steps: step 1, respectively planting 100 parts of colored highland barley in farmlands with different altitudes; step 2, harvesting the colored highland barley mature at different altitudes; 3, detecting nutritional ingredients contained in the colored highland barley at different altitudes to obtain nutritional ingredients of the colored highland barley; and 4, analyzing the influence of different altitudes on the nutrient content of the colored highland barley and the difference between the nutrient quality contents of the colored highland barley. Data support is provided for application of the colored highland barley in nutrition and health food processing, and a reference basis is provided for layout of highland barley production areas in different altitude areas and breeding of high-quality and high-yield colored highland barley.

The invention provides a method for detecting the moisture content of buccal cigarette contents, and belongs to the technical field of smokeless tobacco product analysis and detection. The method comprises the following steps: step 1, taking a proper amount of a buccal cigarette content sample; 2, preparing a detection solution; step 3, mixing and extracting the buccal cigarette content sample and the detection liquid to obtain extract liquor, calibrating a Karl-Fischer moisture titrator, adding the extract liquor into a titration cup containing methanol, and carrying out titration detection by using a Karl-Fischer reagent; or adding the detection liquid into a titration cup containing methanol, calibrating a Karl-Fischer moisture titrator, adding the buccal cigarette content sample into the titration cup, stirring and dissolving, and carrying out titration detection by using a Karl-Fischer reagent. The detection method provided by the invention is suitable for various buccal cigarette products, broadens a detection way for quality detection of the buccal cigarette and improvement of smoking quality, and has a very good practical application value.

The invention relates to the technical field of big data and is applied to the fields of finance and medical health. The invention discloses a visual data integration method and device, computer equipment and a storage medium. The method comprises the following steps: determining entities, attributes and relationships based on business requirements, and forming document metadata; on the basis of the document metadata, generating an interface prototype according to user demand research and competitive product analysis results; generating a graphic component for operating the interface prototype and realizing a dragging function to obtain a data model; and storing the data model in a selected storage medium, and recording version information for a terminal to backtrack and compare historical version information. By implementing the method provided by the invention, the development efficiency can be remarkably improved, and meanwhile, the consistency of data and the expansibility of the system are ensured, so that non-professional developers can also efficiently participate in the development and maintenance of the application program, the technical threshold is greatly reduced, and complex business requirements are met.

Ensure that promotional content for products recommended for sale is provided appropriately. [Solution] A program that causes a computer to perform the following operations: acquire product analysis information associated with each of a plurality of products and used to analyze the sales of the plurality of products; extract target products from the plurality of products whose product analysis information satisfies specified conditions based on the product analysis information; and send proposal information associated with the target products and proposing the creation of content using the target products to a target sales representative.

The present invention discloses a smart marketing management method and system based on AI artificial intelligence. The smart marketing management system includes a data collection and preprocessing module, a market dynamics prediction module, a competitive product analysis module, an advertising strategy generation module, and a strategy execution and feedback module. The smart marketing management system collects relevant data on marketing advertisements in the market, collects market dynamics data, monitors and updates the advertising strategies and market performance of competitive products in real time, and automatically adjusts advertising delivery strategies through AI artificial intelligence technology based on competitive product analysis results and real-time advertising effect data. Through the introduction of AI technology, market and competitive product data can be analyzed in real time, advertising strategies can be automatically adjusted, advertising content and delivery channels can be optimized, and advertising budgets and time frequencies can be dynamically adjusted. This system is not only highly intelligent and automated in advertising decision-making, but also achieves a reasonable allocation of marketing resources through multi-dimensional optimization strategies, significantly improving the overall effectiveness of advertising and the rate of return on investment.

The invention relates to the technical field of oil product analysis, particularly provides a control method, a control module and an instrument for oil water content analysis, and aims to solve the problem that a conventional oil water content analyzer is relatively large in measurement deviation due to the influence of oil product temperature. In order to achieve the purpose, the control method for oil water content analysis comprises the steps that the oil product temperature T and the basic value of the oil product water content are obtained; determining the deviation value epsilon of the water content of the oil product according to the temperature of the oil product, wherein the deviation value epsilon of the water content of the oil product is the sum of at least one of the first temperature deviation value epsilon 1, the second temperature deviation value epsilon 2 and the third temperature deviation value epsilon 3; and according to the basic value of the water content of the oil product and the deviation value epsilon of the water content of the oil product, calculating to obtain a correction value of the water content of the oil According to the method, the deviation value caused by the oil product temperature to the oil product water content measurement is considered, so that correction is performed, the measurement deviation caused by the influence of the oil product temperature is reduced, and the accuracy of the final correction value of the oil product water content is improved.

The invention relates to the technical field of products, and discloses a product library safety verification method, device and equipment and a storage medium, and the method comprises the steps: obtaining different types of to-be-processed products from a product library, and determining a product analysis strategy according to the types of the to-be-processed products; analyzing the to-be-processed product through the product analysis strategy to obtain component dependency information of the to-be-processed product; and performing risk matching on the component dependency information and a preset vulnerability risk library to obtain a security verification result. According to the method, the component dependency information of the to-be-processed product is analyzed, and the component dependency information is subjected to risk matching with the preset vulnerability risk library, so that compared with the prior art that whether vulnerabilities occur in dependent components in a product library or not is not detected, and whether vulnerabilities are introduced into the product library or not is not clear; according to the product library safety verification method, whether loopholes are introduced into the product library or not can be accurately known through the safety verification result, and potential safety hazards are effectively reduced.

The invention relates to the technical field of report generation, and discloses an artificial intelligence and big data analysis-based evaluation report generation system, which comprises a data acquisition module, a preprocessing module, an emotion analysis unit, a commodity analysis unit and a report generation unit, according to the invention, the data acquisition module obtains multi-dimensional data, lays foundation for analysis, and ensures comprehensiveness and objectivity; the preprocessing module extracts keywords by using a specific algorithm, accurately extracts key contents, and facilitates the development of subsequent work; the sentiment analysis unit analyzes the sentiment tendency by means of a sentiment dictionary and the like, can clearly present the public praise of the consumer to the commodity, and assists decision adjustment; the commodity analysis unit analyzes commodity attributes in combination with word frequency and information entropy, calculates key attribute word scores and emotion tendency correlation degrees, and provides a basis for commodity optimization; the report generation unit generates a report containing key content, and has important reference value for merchants to improve products and formulate strategies and consumers to make purchase decisions.

The invention discloses a corrosion analysis method and system for a heat exchanger, and the method comprises the steps: data collection, nondestructive testing, corrosion product analysis, building of a corrosion prediction model, and comprehensive analysis, and combines the nondestructive testing result, the corrosion product analysis result and the output of the corrosion prediction model. The corrosion condition of the heat exchanger is comprehensively analyzed, and the corrosion type, the corrosion reason and the corrosion development trend are determined. The system comprises a data acquisition unit, a nondestructive testing unit, a corrosion product analysis unit, a corrosion prediction model establishment unit and a comprehensive analysis unit. According to the invention, the formation characteristics of granular dirt in the heat exchanger and the harm to heat transfer in the prior art are solved.

The embodiment of the invention provides a commodity information generation method and device, equipment and a computer program product. The method comprises the steps of obtaining a generation request of commodity information, wherein the generation request at least comprises category description corresponding to the commodity information and at least one knowledge item description; based on category description and at least one knowledge item description in the generation request, determining a commodity category matched with the generation request and concept attributes under each knowledge item under the commodity category; circle product analysis is carried out based on the commodity category and the concept attribute, commodity preliminary information is obtained, and the commodity preliminary information at least comprises recommended commodities corresponding to the generation request and crowd portraits corresponding to the recommended commodities; and based on the preliminary information of the commodity, generating commodity information corresponding to the generation request, the commodity information at least comprising description information of the commodity and a promotion document of the commodity. According to the embodiment of the invention, manpower and material resources required for generating the commodity information are reduced, and the generation quality and efficiency of the commodity information are improved.

The invention provides an equipment control method based on sludge anaerobic fermentation product analysis, and relates to the technical field of sludge treatment.The method comprises the steps that initial feature information of current sludge before fermentation is obtained, and the initial feature information comprises the moisture content, volatile solids and / or the carbon-nitrogen ratio; acquiring the actual content of a fermentation product at a first time node according to preset key time nodes in the anaerobic fermentation process; inputting the sludge initial feature information into a preset machine learning model to obtain the predicted content of the fermentation product corresponding to the first time node; calculating a content difference value between the actual content and the predicted content of the product, and when the content difference value exceeds a preset threshold value, inputting the content difference value into a preset parameter adjustment model to obtain a corresponding parameter adjustment quantity; and adjusting the current fermentation parameters according to the parameter adjusting quantity. The problem that in the prior art, the fermentation state is difficult to monitor according to product information of sludge with different characteristics in the fermentation process, and consequently the parameter control precision of fermentation equipment is low is solved.

The invention relates to the technical field of electric drive NVH of new energy vehicles, and discloses a method and system for formulating an electric drive NVH order noise target value. The system comprises a vehicle performance positioning analysis module, a competing vehicle noise analysis module, an acoustic simulation analysis module, a rack sound attenuation calculation module, an electric drive NVH noise target value making module and a verification and optimization module. The method comprises the following steps: determining positioning of a vehicle type carrying an electric drive; nVH related data of competitive vehicle models are collected; setting an in-vehicle NVH noise target value; analyzing sound attenuation characteristics of the whole vehicle; calculating the sound attenuation of the rack; an NVH order noise target value of the electric drive rack is formulated; and verifying and optimizing. The scientific and systematic method for formulating the electric drive NVH order noise target value is provided, the factors such as market positioning, competitive product analysis and whole vehicle sound attenuation of the whole vehicle can be comprehensively considered, the reasonable noise target value is formulated for electric drive, and the driving comfort and market competitiveness of a new energy vehicle are improved.

The invention discloses an intelligent marketing platform based on an AIGC technology, which belongs to the technical field of marketing and comprises a modeling module, a product analysis module, a marketing processing module and an effect analysis module. The modeling module is used for establishing a marketing copywriting model according to a marketing demand of a user; the product analysis module is used for analyzing a target product, obtaining marketing input data and sending the marketing input data to the marketing processing module; the marketing processing module is used for performing marketing processing, acquiring marketing input data, and analyzing the marketing input data through a marketing copywriting model to obtain a preset number of marketing copywriting; screening the marketing copywriting to determine a target copywriting; setting marketing content according to the target copywriting, and matching a corresponding delivery platform for delivery according to the marketing content; and the effect analysis module is used for evaluating the putting effect of the marketing content to obtain corresponding marketing effect data, and displaying the marketing effect data to the user.

The invention provides a method and a kit for detecting genotypes of SNP (single nucleotide polymorphism) sites in target genes by cascade amplification, and the method comprises the following steps: designing a first primer, a second primer and a medium probe aiming at the target genes containing to-be-detected SNP sites, and designing an amplification probe according to a medium sequence of the medium probe, and designing a detection probe according to the single-chain report sequence of the amplification probe, and carrying out PCR amplification and amplification product analysis in a reaction system containing the upstream first primer, the second primer, the medium probe, the amplification probe, the detection probe, a nucleic acid sample containing the target gene and DNA polymerase. The method is a non-target-dependent detection method, a melting peak with a melting point of a certain duplex body is detected in melting curve analysis, the target gene SNP typing corresponding to the duplex body can be judged, and by means of the advantages of PCR amplification and two times of PCR index amplification by combining the medium primer and the amplification probe, the SNP typing of the target gene corresponding to the duplex body can be judged. A large amount of target nucleic acid can be enriched, and the detection sensitivity is improved.

The invention provides a filling product analysis and quality inspection method based on a millimeter wave radar and a deep learning model, and aims to improve the detection precision of tail folding and cover locking of a tank body. Detecting the tail folding of the tank body through a millimeter wave radar, segmenting the data based on a loss value, calculating the voidage of the tail folding of the tank body, and marking the tank body of which the tail folding is not completely packaged; an infrared thermal imaging technology is used for obtaining a lock cover image, the integrity of a lock cover is analyzed through a deep learning model, whether a tank body is packaged perfectly or not is judged, and filling products with incomplete lock cover packaging are marked. In addition, the invention also provides a quality inspection system, a readable storage medium and a device so as to realize automation and intelligence of the method.

The embodiments of the present application provide a data processing method, device, electronic device and storage medium, the method comprising: obtaining facial feature data of a user and product feature data of a facial product object; analyzing the facial product object based on the facial feature data and the product feature data to obtain a product analysis result; based on the product analysis result, screening out facial product objects that meet preset conditions; and being able to recommend facial products that are more suitable for the user.

This invention relates to the field of detection technology and provides a liquid chromatograph for product analysis. The open-top box has a shock-absorbing support at its bottom, on which the liquid chromatograph body is mounted. An exhaust pipe is connected to the liquid chromatograph body, with one end extending outside the open-top box and connected to a condensing mechanism. The condensing mechanism is connected to the open-top box. A cylindrical body is connected to one side of the open-top box via a second fixing plate, and a housing is fixedly connected to one side of the cylindrical body. The bottom of the housing is connected to the cylindrical body via a connecting pipe, and a filtration mechanism is connected to the housing. The bottom of the cylindrical body is connected to the liquid inlet of the liquid chromatograph body via a flexible hose. This invention filters out debris from the extract using several filter screens. The filtered extract is then introduced into the cylindrical body through the connecting pipe and passes through several filter screens to filter out debris from the test solution, preventing debris from clogging the internal pipes of the liquid chromatograph body.

The present invention provides a primer combination, a kit, a detection system, a detection method and an application for detecting pathogenic gene mutations of familial Alzheimer's disease and APOE genotypes by means of constant temperature multiplex rapid detection. The method of the present invention uses the amplification refractory mutation system technology combined with the nicking endonuclease nucleic acid detection reaction isothermal amplification system to perform multiplex amplification on 14 sites including 12 hot spot mutations and 2 risk sites of the Alzheimer's disease pathogenic gene, and at the same time combines capillary electrophoresis for product analysis to perform genotyping detection.

The invention discloses an electrocatalyst high-throughput screening platform for an electrocatalytic reaction system and a method thereof. According to the platform, a flowing electrolytic tank and a high-flux pipetting workstation are taken as cores, and gas chromatography (GC) and nuclear magnetic resonance (NMR) rapid product analysis are integrated. The platform adopts an aluminum alloy gantry type four-axis (XYZ1Z2) moving mechanism to realize space positioning of clamping and pipetting; the high-flux pipetting workstation is provided with a gun head storage module, a reagent bottle storage module, a rotary bottle cap module and an electrocatalyst preparation module, so that accurate liquid proportioning and electrocatalyst preparation are realized; a flowing electrolytic tank and the like are arranged in the electrochemical test workstation, so that continuous flowing electrolysis, automatic sample loading and electrolyte circulation are realized; the GC / NMR module is used for rapidly detecting a product on line. The platform realizes whole-process unmanned and repeatable catalyst preparation and high-throughput screening through a unified control circuit and an upper computer. The electrocatalytic reaction system is a carbon dioxide reduction reaction system.

The invention relates to the technical field of advertisement management, in particular to a cross-border e-commerce advertisement management system based on big data, which comprises a behavior data acquisition module, an associated commodity analysis module, a consumption amount management module and a consumption period and advertisement putting module. According to the fact that all users still browse other commodities when browsing the commodity, associated commodities corresponding to the current commodity are determined to serve as commodities for advertising, a consumption amount management module calculates and determines commodity prices in the advertising, and then a consumption cycle and advertisement advertising module analyzes consumption cycles corresponding to specific types of commodities; and if the current time interval is in a certain specific commodity consumption period in the specific types of commodities, calling out the associated commodities corresponding to the specific commodities after the user logs in the cross-border e-commerce system, generating an advertisement and putting the advertisement to the user, and accurately pushing the associated commodity advertisement when the user is in the commodity consumption period.

The present invention relates to the technical field of report generation, and discloses an evaluation report generation system based on artificial intelligence and big data analysis, comprising a data acquisition module, a preprocessing module, a sentiment analysis unit, a commodity analysis unit, and a report generation unit; in the present invention, the data acquisition module acquires multi-dimensional data to lay a foundation for analysis and ensure comprehensiveness and objectivity; the preprocessing module extracts keywords with a specific algorithm and accurately refines key contents, which is conducive to subsequent work; the sentiment analysis unit analyzes sentiment tendencies with the help of sentiment dictionaries, etc., can clearly present consumers' word-of-mouth on commodities, and assist in decision-making adjustments; the commodity analysis unit analyzes commodity attributes in combination with word frequency and information entropy, calculates key attribute word scores and correlations with sentiment tendencies, and provides a basis for optimizing commodities; the report generation unit generates a report covering key contents, which has important reference value for merchants to improve products and formulate strategies, and for consumers to make purchase decisions.