295 results about "Product analysis" patented technology

A system, suitable for high-speed operation, by which raw product (45), such as a slab of meat, can be accurately processed, such as by slicing into segments of desired weight, comprises a product profiling apparatus (15). The product profiling apparats (15) meassures the profile of the physical process. The product profiling apparatus (15) includes line lasers (75, 85) for directing a line of light across the upper and lower surfaces of the product (45) and visual image cameras (80, 90) directed toward the profile surface to capture, at fixed increments, the product profile. The product may also be weighed and the product density determined from the overall profile measurements. A controller (150) receives this data, and instructs the physical process accordingly.

A system and a computer program product calculates an insurance premium for environmentally hazardous substance insurance to compensate for damages in the case in which an environmentally hazardous substance is included, by accident, in a product of the insured party. The environmentally hazardous substance insurance system includes, as contracted party information relating to the insured party, at least information specifying the environmentally hazardous substance that is to be insured against, an input output process portion to input information relating to the results of analysis of the product of the contracted party; a contracted party information memory portion for at least temporarily recording the contracted party information and an insurance premium calculation portion to calculate the insurance premium based on the contracted party information stored in the contracted party information memory portion.

An Internet product research system based on data mining is composed of an information collecting module, an information pre-processing module, a product general picture analysis module, a sentiment analysis module, a user behavior analysis module and a data showing module. All kinds of information related to a product on the Internet are collected automatically through the system and are pre-processed, comprehensive analysis is carried out through a data mining and natural language processing technology, and therefore the analysis results of the general picture analysis related to the product, the market public praise analysis of the different functions of the product, the contrastive analysis of different products, user group analysis and other different aspects are formed fast, and fast and solid supports are provided for product analysis and marketing decisions. Internet information resource advantages are fully utilized, the product can be researched according to user needs, manpower and material resources needed by the research can be saved, and market trends can be reflected and tracked in time.

Disclosed herein is a coupon selection support apparatus including: a commercial product information acquisition block configured to acquire commercial product information associated with a commercial product subject to a coupon; a commercial product analysis block configured to analyze a commercial product subject to a coupon; a usage log acquisition block configured to acquire a coupon usage log of each user; a log analysis block configured to analyze a purchase timing of a commercial product purchased by each user in the past; and a selection support block configured to predict a next purchase timing of the commercial product to preferentially present, at the next purchase timing, a coupon for the commercial product and coupons related with the coupon by the commercial product analysis block.

The invention provides a document-level sentiment analysis method based on specific domain sentiment words. The method is implemented by the following steps of collecting a document data set, traininga set of prototype words by using a Skip-gram word vector model to obtain a word vector corresponding to each prototype word, recombining the word vectors by utilizing an attention mechanism, and capturing a relation between non-continuous words in the word vectors; synthesizing the words and sentences by using an asymmetric convolutional neural network and a bidirectional gate recurrent neural network based on the attention mechanism respectively, thereby forming document vector characteristics; generating sentiment eigenvectors by utilizing a domain sentiment dictionary of the Skip-gram word vector model; and finally, combining the document vector characteristics and the sentiment eigenvectors by utilizing a linear combination layer to form document characteristics beneficial to document classification. The sentiment analysis is widely applied to the product analysis, the commodity recommendation, the stock price trend prediction and the like; and the method provided by the invention can accurately and efficiently carry out sentiment analysis on documents, and has great commercial values.

An apparatus for acquiring a profile of a food product for use in subsequent processing of the food product includes a scanning area and one or more product drives for driving a product through the scanning area in a longitudinal direction. First line lasers project one first transverse laser line transversely to the longitudinal direction on the first surface and two first cameras arranged to capture different, overlapping first transverse image portions of the first transverse laser line. A reference laser projects a beam on the first surface that indicates a transverse reference position, and the two first cameras also capture the reference position. A control system uses the transverse reference position to combine the different first transverse image portions captured by the two first cameras to calculate a first profile of the first surface at multiple positions along a length of the first surface as the product is driven through the scanning area.

The invention provides a financial product forecasting device capable of automatically outputting financial product combinations suitable for customers, thereby improving the retrieval efficiency of financial products. Including: a customer data analysis unit, which obtains basic customer data and customer financial preference data, assigns weights to each of the above-mentioned customer basic data and customer financial preference data obtained, and calculates and matches the above-mentioned customer basic data and the above-mentioned customer financial preference data The financial product analysis unit obtains the respective characteristic parameters of multiple financial products, and obtains the financial product evaluation indexes of each financial product based on the obtained characteristic parameters; The difference between the evaluation indicators of each of the above financial products, select a financial product that matches the customer evaluation indicators from a plurality of financial products, and output the selected financial product as a forecasted product combination.

The present invention provides a fast testing system and method for optical transceiver, which integrates multiple testing machines in the testing environment for the optical transceiver, so that the user can employ the testing system for optical transceiver for rapid and simultaneous measurement of multiple products, and further improving the production efficiency. Moreover, with a combination of optical channel selector with a set of digital communication analyzer and spectrum analyzer, a plurality of products to be tested can be switched for parametric inspection, and by combining a tree coupler to synchronously transmit the measurement signals of the standard sample to the product to be tested in a multi-port transmission to further measure the bit error ratio. Thus, the product analysis report for the user is in real-time, so as to effectively improve the competitiveness of the industry.

The invention discloses a lactoalbumin antihypertensive peptide and a preparation method and an application thereof. The lactoalbumin antihypertensive peptide is prepared by the following steps: after hydrating lactoalbumin solution, adjusting the pH value to 7.0-10.0, adding protease I for enzymolysis reaction; after reacting for 120-240 minutes, keeping reaction temperature constant; adjusting the pH value to 6.0-8.0; adding protease II into a reaction system to continue reacting; after reacting for 120-240 minutes, stopping reacting to obtain rough enzyme solution; inactivating enzyme in the rough enzyme solution, and adjusting the pH value to the isoelectric point of lactoalbumin; centrifuging to obtain supernate; adjusting the pH value of the supernate to 6.0-8.0; and collecting ultrafiltrate by a 10 kDa ultrafiltration membrane; and obtaining lactoalbumin antihypertensive peptide. Product analysis indicates that the prepared lactoalbumin antihypertensive peptide contains less than 2% of ash content, protein recovery rate approaches to 90%, TCA soluble nitrogen content is more than 85%, free amino acid content is 70.23 mu mol/mL, and ACE suppression ratio is more than 85%.

The invention relates to a partial discharge charged detection comprehensive diagnosis method of GIS (Gas Insulated Switchgear) for electric power, which comprises the following steps of: quickly surveying whether the insulation performance of the running GIS is normal or not by adopting a transient voltage-to-ground test method and in combination with a high-frequency CT (Computed Tomography) matched with a high-speed oscilloscope background noise test method; accurately measuring the abnormal GIS through a ultra-high frequency sensor matched with a high-speed oscilloscope or a portable frequency spectrometer to confirm whether a partial discharge signal of the running equipment exists; diagnosing the discharge part and the discharge defect type of the running equipment by applying an ultrasound partial discharge and ultra-high frequency partial discharge test method; and further confirming the discharge defect of the running equipment by adopting a SF6 decomposition product analysis method for a suspected defect gas chamber and adopting an X-ray perspective irradiation method for a suspected defect part. The partial discharge charged detection comprehensive diagnosis method of the GIS has the advantages of various means, highly-efficient test, definite diagnosis and the like.

The invention relates to an instrument for analyzing the quality of sulfur hexafluoride gas in electric equipment. The instrument comprises an analysis mechanism of a purification device, wherein the analysis mechanism is composed of a sample inlet, a temperature detection branch, a decomposed product detection branch and a purity detection branch; and the outlet end of the sample inlet is respectively communicated with the temperature detection branch, the decomposed product detection branch and the purity detection branch via a first four-way pipe. In the invention, a test is only conductedonce so that the detection of important items in three related standards namely brackish water detection, decomposed product analysis and purity analysis of SF6 equipment can be satisfied; and the gas using amount of the test is saved by reducing the detection test times of equipment, thereby being energy-saving, environmentally-friendly and effectively protecting the detection equipment. Meanwhile, the instrument can be used as a portable instrument for on-site electrified detection of working flows to avoid the influence caused by outage overhaul and the instrument can also be used as a labinstrument for off-line test analysis.

The invention provides a method for preparing target material, comprising the following steps of providing base material, arranging the base material in a vacuum smelting furnace, wherein the base material is primary aluminium or original copper; smelting the base material in the vacuum smelting furnace, carrying out composition analysis to the smelted metals; adding the composition elements required by the preparation of the target material according to the composition analysis result and product requirement; degasifying the smelted metals; sampling the smelted metals; carrying out product analysis; injecting the smelted metals meeting the product requirement after product analysis into a vertical crystallizer through a running channel; carrying out continuous casting; and carrying out finished product detection to the outgoing target casting, thus obtaining the target material meeting the requirement of the product. Compared with the prior art, the method has simple, stable and easily controlled process, higher production efficiency, and the prepared target material has the characteristics of good uniformity, small crystal grains, and the like.

The application provides a data processing method applied in an online trading platform, an apparatus and a server thereof. The method comprises the following steps: receiving a query condition of a current seller user, wherein the query condition comprises associated information of a current product or current category information; inquiring from a specific database so as to obtain related trading information according to the associated information of the current product or the current category information, wherein the specific database is used to store the trading information generated when the product is traded on the online trading platform; analyzing the related trading information so as to obtain product analysis data which satisfies a requirement. By using the method, the apparatus and the server provided in embodiments, information interaction times of the seller user and an online store server during a query process can be reduced. Loads of the online store server can be reduced so as to improve an operation speed and performance of the online store server.

A graphene/silica gel solid extraction material and application thereof belong to the field of analytical detection pretreatment of composites and agricultural products. The graphene/silica gel solid extraction material prepared via an electrostatic adsorption technique is provided herein; the graphene/silica gel solid extraction material can well adsorb carbamate pesticides in plants and agricultural products by the aid of pi-pi bond action and interaction between electrostatic adsorption and carbamate pesticides; recycling experiments prove that the graphene/silica gel solid extraction material can adsorb carbamate pesticides for agricultural products under high speed and efficiency, has good detection reproducibility and high stability, has wide range of application and other advantages, and has a promising application prospect.

The invention, which relates to the field of competitor product analysis technology, proposes a big-data-based competitor product analysis method and system. The method comprises: historical internet behavior data of each user in a sampled user group are obtained, and the obtained historical internet behavior data are analyzed by a funnel analysis method to obtain like products of a target product, wherein the like products are ones with the same market orientation as the target product; association degrees between all like products and the target product are obtained respectively; one product with the corresponding association degree larger than a first preset threshold is selected as a competitor product of the target product; and historical internet behavior data related with the target product and the competitor product are analyzed to generate a defensive strategy of the target product relative to the competitor product. Therefore, competitor product orientation and analysis can be realized effectively and accurately; and a basis for making an effective competition strategy for a target product is provided; and an effective putting strategy is made based on the attention orientation of the user.

The invention belongs to the plant diseases molecular detection field and relates to the early rapid molecular detection method of sclerotinia rot of colza. The invention is characterized by comprising the collection of weazen rapeseed petals, extraction of total DNA of rapeseed petals, nest-PCR, PCR amplification product analysis, agarose gel electrophoresis and result judgement. If sclerotinia sclerotiorum exists in a sample, a 292bp purpose bank may appear in the agarose gel under ultraviolet light, or else, the sclerotinia sclerotiorum does not exist. The primers of the invention can not only distinguish common plant leaf pathogenic fungi of distance relationship and different categories, such as alternaria genus alternaria sp, fusarium genus fusarium graminearum and coniothyrium genus sclerotinia sclerotiorum sclerotia coniothyrium parasitic fungi, but also can distinguish various fungi of common plant leaf fungal pathogen botrytis also belonging to ascomycotina, discomycete and helotiales with the sclerotinia species; the invention has high sensitivity, can detect the sclerotinia sclerotiorum DNA with the limit of 1fg/Mul, is rapid, and can obtain accurate detection result within 7 hours, however, at least two days or more than 1 week is needed for obtaining the detection result by using the traditional microbiology method.

Described is apparatus and a process for the enablement of functional product analysis of the headspace proximate one or more substrate, such as hair, fabric or skin, surfaces having affixed thereto functional product, a fragrance composition and/or malodour counteractant composition-containing microcapsules. The apparatus employs mobile microcapsule-abrading solid objects, including agitating stainless steel spheres during analyte collection in a gas-flow/trapping tube analyte collection apparatus. The reciprocating motion and the air-flow are commenced simultaneously thereby enabling the solid objects to become mobile and to effectively abrade the microcapsules affixed to the semi-solid surfaces. The volatile substance contained in the microcapsules is then emitted from the resulting ruptured microcapsules into the headspace above them, and the air flow carries the volatile substance molecules into the trapping means, which is then subjected to extraction followed by analysis of the extract, such as gas chromatography, mass spectral analysis, infra-red analysis and NMR analysis.

The utility model discloses a qualitative method and a quantitative method for analyzing various sulphur components of the light hydrocarbon and the fractionation products, wherein the qualitative method is to analyze the products with the adoptive gas phase mass spectrometer for obtaining the spectral configuration and then to determine the quality with the mode of combining the searching of standard atlas database and keeping time of the standard sulphur sample. The quantitative method is to use the gas chromatography combining cubic spline curves for determining the quantity. The utility model has the advantages that the establishment of the qualitative and the quantitative analysis methods for various sulphur components can provide necessary, accurate and effective data for utilizing the art of sulfur removal with light hydrocarbon fractional device and meanwhile can offer the foundation for determining the desulfurization catalyst for the device and guiding the production.

The invention relates to the technical field of oil product analysis, in particular to a gas station oil product analysis method and a gas station oil product analysis system. The gas station oil product analysis method comprises the steps S1, obtaining mileage information, in-vehicle electric appliance information and geographic information of a vehicle, and detecting the oil quantity change condition of the vehicle in real time; S2, if the proportion of the new oil is greater than a preset proportion, obtaining the nearest gas station information, and starting an oil product analysis period;S21, calculating the oil consumption per hundred kilometers; S22, recording current driving habit data, and analyzing a driving style; S23, judging the influence of the driving style on the fuel consumption, and analyzing the current fuel quality under the same driving style. The gas station oil product analysis system comprises an acquisition module, a processing module, a positioning module, abackground cloud and a communication module. According to the method, driving style analysis and fuel consumption after refueling are combined. The quantitative scoring is carried out on the fuel. Theobjective fuel reference is provided for a vehicle owner, and adverse effects of bad fuel on economic expenditure of the vehicle owner and the vehicle are avoided.

The invention discloses a product promotion management system and method based on two-dimensional codes, wherein the system comprises a database server, an online management module, a handheld terminal, an entry code and a consumer code; the handheld terminal scans the entry code to enter the system, scans the consumer code to complete consumption and pushes promotion activities such as red packets and the like. Different treatments are performed on the scanning behavior by different login identities and scanned code information is uploaded to the database server. A manufacturer carries out product analysis, cargo movement management, promotional assessment and customer mining through the online management module according to the database data. The system can expands the identities of the code-scanning users, has a powerful management capability, enhances user viscosity by means of cash-returning activities, can enhance the market and cargo trend analysis and control capability of the manufacturer through the data in the database, and improves the sales performance of promoters and workers at branches.

The invention discloses a method and a device for analyzing user behaviors based on artificial intelligence. The method comprises the following steps: analyzing logs of the user behaviors according to a preset log screening condition, and screening log fragment information meeting the log screening condition; simulating and generating a user interaction scene according to the log fragment information; and marking behavior evaluation information corresponding to the user interaction scene. According to the method, analysis of the user behaviors is carried out by simulating the user interaction scene, so that the efficiency of analyzing the user behaviors is improved, the product is convenient to analyze based on product experience, and comprehensiveness for product analysis is realized.