40results about How to "Analytical science" patented technology

An optimal site selection device for a distributed wind power plant based on a fuzzy analytic hierarchy process comprises a DSP (Digital Signal Processor) module, a keyboard input module, a liquid crystal display module, a communication module and a host computer. An optimal site selection method for the distributed wind power plant based on the fuzzy analytic hierarchy process comprises the following steps: dividing candidate wind energy resource zones in a region rich in wind energy resources, determining an evaluation index system for the site selection of the wind power plant, determining the hierarchical structure of a scheme for the site selection of the wind power plant, judging the cognition degrees of experts on selected sites for the wind power plant by an expert group judgment and group decision method to obtain the cognition degree parameters of all the experts, and constituting a criterion layer judgment matrix and an index layer judgment matrix for the site selection of the wind power plant; and finally ranking the candidate wind energy resource zones by advantages and disadvantages and determining one site for the wind power plant. Compared with the traditional analytic hierarchy process for site selection, the method has the advantages that factors are fully considered, the examination and the regulation of the consistency of the judgment matrixes are simple, easy, scientific and reasonable, and results are scientifically analyzed. The device has the advantages that through the operation processing process of the DSP, the site selection period can be shortened, and the site selection efficiency can be increased.

The invention discloses a wall painting information extraction method based on hyperspectral imaging. The method comprises the following steps of: 1, acquiring original hyperspectral image information of a wall painting in a preset region; and 2, extracting draft information of the wall painting, pigment information of the wall painting and disease information of the wall painting according to the original hyperspectral image information. According to the wall painting information extraction method based on the hyperspectral imaging, the wall painting information is extracted and analyzed according to the advantages of a hyperspectral technology, so that the shortcomings of large working amount, large error, multiple manmade factors and the like of the conventional wall painting information investigation and analysis method are overcome; the wall painting information extraction method has the characteristics of quickness and effectiveness; the shortcoming of insufficient spectral information in dispersion wave band in a multi-spectrum technology is overcome; and the wall painting information extraction method has the advantages of spectrum continuity and rich data and is favorable for quick, effective and scientific analysis of wall painting information, so that instruction and basis are supplied to deep research and protective repair on the wall painting information.

The invention discloses a geological disaster prediction method, device and equipment, and the method comprises the steps of obtaining the monitoring data of a monitoring region, wherein the monitoring data comprises the spatial data and attribute information for describing geological disasters; performing preprocessing and feature engineering on the spatial data and the attribute information to determine a feature subset of the geological disaster; and establishing an artificial intelligence model based on the feature subset to determine the predicted occurrence probability of the geologicaldisaster of the monitoring area. The embodiment of the invention discloses the technical scheme which includes obtaining monitoring data, processing the data and subjecting to feature engineering, extracting the feature subsets related to the geological disasters, up/down sampling the unbalanced data, determining the occurrence probability of the geological disasters based on the artificial intelligence model, realizing real-time monitoring and automatic prediction of the occurrence probability of the disasters, and improving the prediction comprehensiveness and accuracy.

The invention provides a well-to-well tracing curve clustering method and device. The method includes the steps that after standardization treatment, curve piecewise linearization treatment, non-dimensional tracing-curve-to-tracing-curve form distance calculation and automatic well-to-well non-dimensional tracing curve clustering algorithm treatment are conducted on testing data, automatic well-to-well tracing curve clustering calculation and analysis are achieved, and finally analysis of newly-tested tracing curves is achieved. On the basis of the method, the invention further provides the well-to-well tracing curve clustering device corresponding to the method, standardization treatment is conducted on the complex tracing curves, and scientific and quick analysis of mass well-to-well tracing curves is achieved, so that a specific technological means for classification research on the mass well-to-well tracing curves is provided, and the explanation level of the well-to-well tracing curves is increased.

The invention discloses a method for extracting an estuary intertidal zone classification area by using an object-oriented classification technology, characterized by comprising the following steps of: (1) extracting water edges of estuary intertidal zones, wherein places involving water and the intertidal zones in a high resolution No.1 satellite remote sensing image are made into a mask by using Global Mapper software; supervised classification is performed on the water and the intertidal zones in ENVI; classification results are classified and clustered; vector graphs are guided out and then guided into the Global Mapper software for correction; and the water edges of the estuary intertidal zones are extracted and obtained; (2) making the vector graphs with an shp format; and (3) extracting the estuary intertidal zone classification area, wherein intertidal zone classification is performed by using a sample-based object-oriented flow of the ENVI software, and the data of the intertidal zone classification area is extracted. The method of the invention can perform high precision extraction on the intertidal zone classification utilization information. The operation is convenient, and the feasibility is strong.

The invention relates to a hand-held subway tunnel structure damage investigation data recorder and a recording method therefor. The hand-held subway tunnel structure damage investigation data recorder comprises a touch screen and a circuit board connected to the touch screen. The circuit board is provided with a memory module, a graphic processing module, a basic information management module and a survey task management module. The recording method comprises the following steps of starting the basic information management module by the touch screen according to a survey request transmitted by the survey task management module, generating a subway tunnel structure layout map needing survey, displaying the subway tunnel structure layout map, acquiring on-site subway tunnel images in real time by the graphic processing module, recording damage data and satellite information in the subway tunnel structure layout map by a standard graphic marking method according to a damage type layout map, carrying out quantization treatment on the damage data, and storing the quantized damage data in the memory module. Compared with the prior art, the hand-held subway tunnel structure damage investigation data recorder and the recording method therefor have the advantages of high digitization, high informatization, high timeliness, high accuracy and less intermediate processing processes.

A high-efficient operation method of a shore container crane comprises the following steps: (1) understanding the operating duty and working environment on the very day in detail before operation; (2) performing cart operation while looking forwardly at a front arm beam and looking downwardly at a container lorry; (3) slowly and carefully lifting and lowering a container, wherein the operation speed can be properly accelerated during intermediate operational process on the premise of safety, the space between a lifting tool and an object below the lifting tool should be at least kept at 0.5 meter, and speed control of the lifting tool is conducted at a height of 0.5 meter; and (4) completing operation, and repeating from the step (2). The inventive method is suitable for being used at container wharfs, and has the advantages of convenient operation and improved efficiency.

The invention discloses an Internet-based mineral product price dynamic monitoring and query service system, including a main workstation and a data acquisition module connected to the main workstation, an intelligent assembly module, an automatic output module of results, an early warning and forecast module, and a quality supervision module. The acquisition module is connected with an OCR system, and the automatic achievement output module is connected with a data query terminal and a printer. The whole process of data traceability is realized by numbering and cleaning the data between each module, and the main workstation is also connected with a network. Database server; the present invention consists of simple price information collection, data clustering, collation, analysis, and report formation, and raises the collected mineral product market price information and other mineral product pricing influencing factors to scientific, reasonable, and rapid analysis. At the same level, it solves the problems of difficulty in collecting mineral product price data, single means, low accuracy, inaccurate statistics, and untimely publication.

The invention provides a product life analysis method and a terminal device. The method comprises the following steps: first test data of a product in preset accelerated life test conditions and second test data of the product in natural storage conditions are obtained, the second test data is corresponding time data when product failure occurs, the first test data is converted into third test data in the natural storage conditions according to the preset accelerated life test conditions and the natural storage conditions; according to the second test data and the third test data, product lifeis analyzed via a minimum chi-square estimation method. The above method and the terminal device can be used for scientifically and accurately analyzing and evaluating the product life.

According to the shield segment deformation monitoring system and the monitoring method thereof disclosed by the invention, a laser sensing technology is provided, and a cable-free link and independent lithium battery power supply mode is adopted, so that the purposes of convenient mounting and dismounting and controllable battery endurance time are achieved. By means of the monitoring system only covering the segments within the range of the shield frame section, low-cost monitoring can be achieved and the blank of the existing shield frame section segment deformation monitoring technology can be filled up through the monitoring means that the last measuring module is rapidly detached and installed to the foremost position in a mounting-dismounting-mounting dynamic circulation mode. The shield segment deformation monitoring system comprises a plurality of groups of laser sensing modules, an automatic total station and a data processing platform; two adjacent groups of laser sensing modules are spaced by at least one group of shield segments, and each group of laser sensing module comprises a CCD (Charge Coupled Device) laser receiving target, a laser transmitter and a data collector.

The invention provides a personality analysis method and system based on pulse characteristics and a storage medium. The method comprises the steps that a pulse signal of a user to be tested under thestimulation of a preset emotion stimulation source is obtained; time domain statistical characteristics and frequency domain statistical characteristics of the pulse signal are determined; the time domain statistical characteristics and the frequency domain statistical characteristics are input a pre-trained emotion prediction model to obtain emotion characteristics of the user to be tested; theemotion characteristics are input into a pre-trained personality prediction model to obtain personality characteristics of the user to be tested. The personality analysis method performs personality analysis based on pulse signals and can improve the accuracy of personality analysis.

The invention discloses a virtual platform system based on user behavior data. The virtual platform system comprises a network server, a relational database server, a user management server, a virtual tool management server, a scene management server, a voice server, an image capturing server, a data collection server, a data analysis server, a message transmission server, a virtual scene client terminal, a user image capturing client terminal, a voice client terminal, a user management client terminal, a virtual tool client terminal and a behavior collection client terminal. The virtual platform system based on the user behavior data has the advantages that a collection system is that a user enters the virtual reality environment and acts, and meanwhile behavior data generated in the virtual reality environment of the user is captured; through the system, realistic user behavior can correspond to a virtual reality platform, the behavior data in the virtual reality environment of the user is captured, collected, finished and subjected to modeling analysis, and therefore collection and analysis based on mass data are achieved.

The invention relates to an urban ground roughness calculation method. The method comprises the steps of receiving a two-dimensional digital map, sent by a terminal, of a to-be-assessed area wherein the two-dimensional digital map carries building height values of buildings in the to-be-assessed area; segmenting the two-dimensional digital map to obtain a segmented meta-map; calculating the earthsurface microtopography height of the segmentation element map according to the building height value; and calculating the ground roughness of the to-be-evaluated area according to the ground surfacemicrotopography height of the segmentation element map, and sending the ground roughness to the terminal. Ground roughness can be accurately valued.

The invention relates to an underground waterproof engineering construction quality detection and identification method, in particular to a detection and identification method for inspection and acceptance of underground waterproof engineering construction under construction and leakage of existing building underground engineering water resistance. According to the underground waterproof engineering construction quality detection and identification method, by an infrared thermal imaging method, a microwave humidity method, a radar method, a water quality analysis and spraying test method, underground engineering leakage reasons are detected and identified by the aid of on-site verification. The method is reliable in analysis, scientific in judgment and accurate and reliable in conclusion.Besides, the underground waterproof engineering construction quality detection and identification method is scientific and compact in step, simple and reliable in detection step and suitable for popularization and use.

An operation method of a shore container crane comprises the following steps: (1) understanding the operating duty and working environment on the very day in detail before operation; (2) performing cart operation while looking forwardly at a front arm beam and looking downwardly at a container lorry; (3) slowly and carefully lifting and lowering a container, wherein the operation speed can be properly accelerated during intermediate operational process on the premise of safety, the space between a lifting tool and an object below the lifting tool should be at least kept at 0.5 meter, and speed control of the lifting tool is conducted at a height of 0.5 meter; and (4) completing operation, and repeating from the step (2). The inventive method is suitable for being used at container wharfs, and has the advantages of convenient operation and improved efficiency.

The invention provide a product life analysis method and terminal equipment. The method comprises that a product life is set to obey Weibull distribution or I type maximum distribution; acceleration-factor variation coefficients of Weibull distribution and I type maximum distribution is calculated via an acceleration factor variation coefficient model, and a distribution model obeyed by the product life is determined according to the calculated variation coefficients of the two acceleration factors; and according to the determined product life distribution model, the product life is analyzed in a maximum likelihood method. The service life can be analyzed and evaluated scientifically accurately.

The invention relates to the technical field of data analysis, in particular to a user behavior analysis and guidance method and device, electronic equipment and a readable storage medium. The user behavior analysis and guidance method comprises the steps of collecting user behavior data; wherein a user is a target education application online learner; analyzing the learner behavior data accordingto a preset rule; and outputting guidance suggestions according to analysis results. Based on the technical scheme provided by the embodiment of the invention, personalized content pushing, student homework supporting, examination real-time feedback, student behavior standard guidance supporting and personalized learning plan guidance supporting can be realized, so that the learning efficiency oflearners is improved.

The invention belongs to the technical field of language, character and information processing, and discloses a word learning system and method for systematically understanding the meaning of an English word and application, and the method comprises the following steps: S1) providing 26 pieces of letter and meaning information through a data unit A; S2) combining the letters through a matching unit and generating a data unit B, wherein the data unit B provides words formed by combining the letters and meaning information of the words; S3) calling letter meaning information through a word rootanalysis unit and generating a data unit C, wherein the data unit C provides frequently-used English word root phrases and word root phrases meaning information; and S4) calling letter information through a word analysis unit and generating a data unit D, wherein the data unit D provides all words and meaning information. The method is mainly used for researching the association problem of Englishvocabulary forms and connotation, i.e., the meaning relation, and each word can be understood based on alphabetics, word origin, word formation and the like.

The invention discloses a preparation method of an aroma-enhanced fermented apple juice beverage. The method comprises the following specific steps: S1, juicing: juicing cleaned apples at a low temperature, performing filtering through a filter screen, removing pomace, retaining a juice part, and feeding the juice part into a high-pressure tank for later use; S2, sterilization and enzyme deactivation: pressurizing the high-pressure tank to 300MPa to 500MPa, and keeping the pressure for 5 to 15min; S3, fermentation: injecting the sterilized and enzyme-deactivated juice into a fermentation tank,adding 10% of glucose, and inoculating compound lactic acid bacteria which is 0.5-1% of the juice, wherein the fermentation temperature is 25-28 DEG C and the fermentation time is 20-24 hours; S4, pasteurization: performing short-time heating sterilization at 90 DEG C for 20 seconds, performing rapid water bath cooling to 30 DEG C or below after the sterilization, and performing cold storage; andS5, flavor substance analysis. According to the preparation method, fresh fruits are subjected to low-temperature juicing, apple normal juice is subjected to normal-temperature ultrahigh-pressure treatment to achieve the effects of sterilization and enzyme deactivation, loss of apple aromatic substances is reduced, a compound lactic acid bacteria fermentation technology is adopted, the ratio of lactic acid bacteria is optimized, and therefore the optimal fermentation ratio and process are obtained.

The invention relates to the field of water conservancy and hydropower resettlement planning, in particular to a method for analyzing the environmental capacity of animal husbandry based on the water conservancy construction and land acquisition of livestock itself. The analysis method described in the present invention is based on the calculation method of the livestock itself, and analyzes the environmental capacity when the grassland is used as the compensation means by converting the livestock into sheep units. The invention can scientifically analyze the environmental capacity of the grassland as a resettlement means in the resettlement plan, and can effectively reduce the resettlement risk.

The invention relates to an electric vehicle cluster storage load scheduling evaluation system. An electric vehicle scheduling center acquires regional power grid capacity, user load capacity and a power grid operation state; the electric vehicle dispatching center calculates the maximum charging capacity and the maximum dischargeable capacity of all the electric vehicles in the area; the electricvehicle scheduling center respectively transmits the actual capacity index value, the actual vehicle service time index value, the actual safety operation index value, the scheduling plan index and the actual scheduling economic index value of the electric vehicle cluster storage load scheduling system to the capacity index value and the vehicle service time index value of the electric vehicle cluster storage load scheduling system; and comparison normalization processing is conducted on the safe operation index value, the scheduling plan index and the scheduling economic index value to obtain an electric vehicle cluster storage load scheduling evaluation radar map. According to the method, scientific and reasonable evaluation of the storage load scheduling strategy of the electric vehicle is realized.