59results about How to "Achieve the purpose of integration" patented technology

The invention discloses a power transmission line fault season identification method based on high and low frequency wavelet feature association, which comprises the steps of extracting fault phase current samples of N failure types, and building a sample database; performing high frequency and low frequency data sampling on a fault type T from the sample database, and respectively performing wavelet decomposition; performing feature extraction on a high frequency data wavelet coefficient and a low frequency data wavelet coefficient; S4, building an association relationship model of the fault type T; determining the association relationship model of the N fault types; S6, performing wavelet decomposition on sample data whose fault reason is to be tested, and extracting a feature vector; substituting the feature vector of the sample whose fault reason is to be tested to the association relationship models of the N fault types, and judging the fault type of the sample data whose fault reason is to be tested. According to the invention, fault phase current is analyzed and processed through combining a wavelet transform theory and an information entropy, thereby not only being capable of effectively analyzing suddenly changed signals, but also being capable of achieving a purpose of information fusion, and improving the identification accuracy.

The invention aims at disclosing a thin-film pressure sensor adopting titanium oxynitride as a strain material and a manufacturing method thereof. The thin-film pressure sensor comprises a stainless-steel elastic substrate, wherein the stainless-steel elastic substrate is provided with a core body thin-film layer; the core body thin-film layer comprises an insulating layer, a strain resistance layer, an electrode, a temperature-measuring resistance layer and a passivating layer; and the insulating layer, the strain resistance layer, the electrode, the temperature-measuring resistance layer and the passivating layer are deposited on the stainless-steel elastic substrate by a vacuum deposition method. Compared with the prior art, the invention has the advantages that a core body of the thin-film pressure sensor prepared by using thin film as the strain resistance layer has good heat stability, low cost and high production efficiency, measurement of temperature and pressure parameters can be realized simultaneously, the core body is suitable for use under high-temperature and severe environments, and the purpose of the invention is achieved.

The invention discloses an automatic milling fluttering alarming threshold value setting method based on the 3 sigma rule. The method comprises the steps that firstly, the state information in the milling process is obtained; secondly, forced vibration frequency filtering is conducted on signals, and fluttering sensitive frequency band filtering is conducted on the signals; thirdly, the obtained signals are subjected to feature extraction, and fluttering identification indexes are selected according to needs and calculated; fourthly, the indexes are subjected to the normal distribution check through the normal distribution ration assuming checking method; fifthly, after the normal distribution check, the threshold value section [mu-3 sigma, mu+3 sigma] is set according to the 3 sigma rule, wherein mu is the average value of the fluttering indexes, and the sigma is the standard deviation of the fluttering indexes; and sixthly, fluttering identification is conducted, and the time when continuous three points of the fluttering identification indexes exceed the threshold value section serves as the fluttering alarming time. The reliability of milling fluttering identification is high, and the misdiagnosis rate and the diagnosis missing rate are reduced.

The invention discloses an all-terrain vehicle storage battery heat dissipation mounting box. The all-terrain vehicle storage battery heat dissipation mounting box comprises an outer frame; a heat dissipation plate is fixedly connected between the two sides of the inner wall of the outer frame; the two sides of the top of the heat dissipation plate are fixedly connected with inner frames respectively; the bottom of the inner wall of each inner frame is glidingly connected with a damping apparatus; the top of each damping apparatus is fixedly connected with a buffer plate; the top of each buffer plate is fixedly connected with a storage battery; and fixed apparatuses are fixedly connected between the two sides of the inner walls of the inner frames. The invention relates to the technical field of the all-terrain vehicle. By virtue of the all-terrain vehicle storage battery heat dissipation mounting box, the storage battery can be clamped and fixed conveniently; and in the use process ofthe all-terrain vehicle, collision and damage of the storage battery can be prevented, normal driving of the all-terrain vehicle is ensured, damage of the storage battery due to overheat can be prevented, the normal temperature of the storage battery is maintained, the service life of the storage battery is prolonged, disorder arrangement of electric wires is avoided, the wires can be arranged more tidily, mutual tangling of the electric wires can be avoided, and wiring stability is improved.

The invention discloses a big data analysis method which is characterized by comprising the following steps: 1, acquiring data through a data acquisition subsystem; 2, importing the acquired data to a data storage subsystem; 3, using a data processing subsystem to clean, convert, extract and calculate the data in the data storage subsystem; 4, using a data analysis subsystem to implement statistical analysis and deep mining on the data processed in the step 3; and 5, using a data presentation subsystem to present the data processed in the step 4 in the forms of table, picture and word. According to the big data analysis method, the data are acquired, stored, processed and analyzed, then the analyzed data are presented to a user in the forms of word, picture and table, the purpose of data integration is fulfilled, and the method is quick and intuitive.

The invention aims at providing a panoramic video stitching method based on a spatial spherical surface and equipment thereof. The method is characterized by through mapping each plane image in one frame of video of the video to the spatial spherical surface, acquiring a corresponding spatial spherical surface image; determining at least two groups of characteristic point pairs corresponding to each two adjacent plane images in the one frame of video or the spatial spherical surface image, acquiring positions of the characteristic point pairs in the spatial spherical surface; and based on the positions of the characteristic point pairs mapped to the spatial spherical surface, registering each spatial spherical surface image in the one frame of video on the spatial spherical surface. Distortion which is introduced when the plane image is unfolded into a longitude-latitude plane image is avoided so that a registering result is accurate. Each registered spatial spherical surface image is unfolded into a corresponding longitude-latitude plane image. The longitude-latitude plane images are stitched so as to acquire a panoramic image corresponding to the one frame of video so that all the plane images in the one frame of video of the video can be accurately unfolded so as to stitch into the panoramic image.

The invention discloses a resource allocation method of cloud service, which is suitable for a service scene with elastic scaling, the method is applied to a resource allocation system, the resource allocation system comprises K resource entities which are interconnected, K is an integer greater than 1, and the method comprises the following steps: obtaining a service starting request for a targetcloud service; obtaining initial service configuration information corresponding to the target cloud service according to the service starting request; determining a first resource pre-estimation amount according to the initial service configuration information; determining M resource entities for allocating the first resource from the K resource entities according to the first resource estimation amount; and in the first time period, allocating a first resource for executing the target cloud service to the target client. The invention further provides a related device and a system. On one hand, the situation of upgrading original hardware is reduced, the hardware cost is reduced, and on the other hand, services with higher quality can be provided for users.

The invention discloses a structure of a polarization-maintaining optical hybrid device, and relates to the technical field of optical fiber communications and optical fiber amplifiers. The device comprises a first double-polarization-maintaining optical collimator, a double-pole isolator core, an optical splitter and a second double-polarization-maintaining optical collimator which are sequentially placed from left to right, and therefore the effects of integrating the functions of a polarization-maintaining wavelength division multiplexer, the functions of a polarization-maintaining isolator and the beam splitting function are realized. The structure of the polarization-maintaining optical hybrid device solves the problems that in the prior art, power consumption is high, noise is high, the size is large and the cost is high.

The invention discloses an integratable circuit achieving touch capacitor sensing through electric charge sharing. The integratable circuit comprises an electric charge sharing circuit, a voltage-controlled oscillator, a reference frequency generator, a switch clock generator and a frequency comparator circuit. The electric charge sharing circuit further comprises a sensing capacitor, a touch capacitor, an electric charge sharing capacitor, a charging switch, an electric charge sharing switch and a discharging switch, and electric charges of the charged sensing capacitor are shared with the discharged sharing capacitor so that voltage can be accumulated on the sharing capacitor; the sharing capacitor is designed into the mode that the capacitance value is adjustable so that sensing capacitance values can be generated for different touch applications, and thus the proper sharing capacitance value can be adjusted. The charging switch, the discharging switch and the electric charge sharing switch are controlled through non-overlapping clock rates, the closing time of the charging switch is prolonged, and the closing time of the electric charge sharing switch and the closing time of the discharging switch are reduced to the maximum so that the interference of external environment background noise can be reduced.

The invention discloses engineering bacteria for producing gamma-aminobutyric acid and a construction method and application thereof, and belongs to the technical field of bioengineering. The engineering bacteria are obtained by integrating genes of L-glutamic acid decarboxylase and promoters thereof on chromosomes of host bacteria, and the integration loca are located in gamma-aminobutyric acid transaminase genes. The constructed engineering bacteria are good in heredity stability; the expressed L-glutamic acid decarboxylase is high in activity; excess protein expression, especially antibiotic resistant protein expression does not exist, and safety is high. Meanwhile, gamma-aminobutyric acid transaminase of the degradation product gamma-aminobutyric acid is inactivated in the engineering bacteria, so that decomposition of products is avoided in the production process and the yield of products is improved. The raw materials of the engineering bacteria are L-glutamic acid; the gamma-aminobutyric acid is produced efficiently through a biotransformation method, and the produced gamma-aminobutyric acid has no threat of endotoxin pollution, is safe and reliable and can be used in the field of food and heath care products.

The invention belongs to the technical field of agriculture and in particular relates to an organic fertilizer which is prepared from the following raw materials in parts by weight: 200-620 parts of oil cakes, 100-380 parts of sugar residues, 50-140 parts of sheep manure, 80-230 parts of cow dung, 60-190 parts of corn straw, 30-100 parts of rice straw and 10-29 parts of composite bacteria. The preparation method of the organic fertilizer comprises the following steps: crushing the oil cakes, the sugar residues, the sheep manure, the cow dung, the corn straw and the rice straw, uniformly mixingwith the composite bacteria, further uniformly mixing with water, carrying out composting fermentation, further carrying out liquid fermentation with water in a fermentation tank, and filtering, thereby obtaining the organic fertilizer. By adopting the organic fertilizer, the content of organic matters and total nutrients in the organic fertilizer can be increased, and the fertilizer efficiency of the organic fertilizer can be improved.

The invention discloses an enterprise big data analysis system and method, and belongs to the technical field of cloud computing. Data is acquired, stored, analyzed, processed and displayed, and therefore data integration is carried out. The system comprises a data acquisition subsystem used for data acquisition, a data storage subsystem used for inputting the acquired data in a database, a data processing subsystem used for cleaning, converting, extracting and calculating the data in the data storage subsystem, a data analysis subsystem used for carrying out statistic analysis and deep miningon the data obtained after being processed by the data processing subsystem, and a data display subsystem used for displaying the data. The data acquisition subsystem comprises a log acquisition module, a network data acquisition module and other data acquisition modules. The data is integrated rapidly and visually, enterprises can better analyze conditions visually through big data, use of the big data by the enterprises or individuals is promoted, and more benefits are achieved for development of the enterprises.

The invention discloses a big data analysis method for an image based on a dynamic aerial survey. The method comprises the following steps of step 1, collecting data by use of image aerial survey transmission equipment; step 2, importing the collected data into a data storage and identification processing system; step 3, cleaning, converting, extracting and calculating data by use of the data storage and identification processing system, wherein data cleaning includes data double-entry comparison, data merge, and finding of a duplicate value, a missing value and a abnormal value; step 4, carrying out statistic analysis and deep mining on the data processed in step 3 by use of a database; and step 5, presenting the data processed in step 4 in a form of table, picture and character by use of the database. According to the big data analysis method for the image based on a dynamic aerial survey, the purpose of data integration is achieved, rapidness and intuition are realized, and the method has the remarkable advantages of rapid processing speed and high analysis efficiency.

The invention discloses a data analysis system. The data analysis system comprises a data acquisition subsystem, a data storage subsystem, a data processing subsystem, a data analysis subsystem and a data presentation subsystem. The data acquisition subsystem is used for acquiring data and transmitting the data to the data storage subsystem; the data storage subsystem is used for storing the data acquired by the data acquisition subsystem; the data processing subsystem is used for cleaning, converting, extracting and calculating the data in the data storage subsystem; the data analysis subsystem is used for carrying out statistical analysis and deep mining on the data processed by the data processing subsystem; the data presentation subsystem is used for presenting the data processed by the data analysis subsystem in the form of tables or images or characters. According to the data analysis system, the data is acquired, stored, processed and analyzed, then the analyzed data is presented to a user in the form of characters or images or tables or the like, the purpose of data integration is achieved, and fastness and visualization are achieved.

The invention discloses a signal detector and a detection method thereof used in a voltage signal detection environment. By means of the digital signal converted by an input low-voltage square-wave signal, an input low-voltage full-wave or half-wave signal and / or a commercial AC signal, the signal detector and the method thereof can judge the voltage level and / or frequency and / or zero point and / or phase and abnormality of the input low-voltage full-wave or half-wave signal and / or the commercial AC signal and can output an interrupt signal for subsequent processing.

The invention provides a quality management horizontal integration system, comprising a plurality of region databases distributed at different regions, and a network server connected with the region databases, wherein one of the region databases is selected as an integration database which comprises: a material number synchronization unit for synchronously processing the material numbers in all region databases; a view building unit for building remote database connection with each region database and building corresponding solid view in the integration data base for each data type in each region database, to store the product quality data in corresponding region databases; and a data collection unit for connecting the solid views of all region databases in the integration database, to collect the product quality data in each solid view to a summary view. The invention further provides a quality management horizontal integration method. The invention can resolve the dispersible condition of production quality data distributed in each plant area.

The invention provides a data mining method and a data mining system for big data analysis. The data mining method comprises the steps of: S1, data collection, which is implemented by acquiring a dataset for data mining from a database according to needs; S2, data processing, which is implemented by checking the integrity and consistency of each piece of data in the data set, performing denoisingprocessing, missing domain filling and invalid data deletion on each piece of data, converting the cleaned data into target data, and extracting the target data to generate preprocessed data; S3, data analysis, which is implemented by correcting a data vector according to an analysis rule, summarizing and performing multi-dimensional analysis on the corrected data to generate a data analysis result; and S4, data management, which is implemented by explaining and evaluating the data analysis result, and generating a data mining report. According to the data mining method and the data mining system, the data is collected, stored, processed and analyzed, then the analyzed data is presented to a user in the modes of characters, pictures, tables and the like, the purpose of data integration isachieved, and the data integration is rapid and visual.

The invention discloses an electrical energy quality online monitoring platform. The platform comprises an electric energy quality monitoring system, an enterprise service bus, a data exchange platform, a data center, a dispatching technical support system, an electricity utilization information collection system, an operation monitoring center, a production management system and an automatic power supply collection system; the dispatching technical support system, the electricity utilization information collection system, the operation monitoring center, the production management system and the automatic power supply collection system all transmit collected data to the data exchange platform through the enterprise service bus, and the electric energy quality monitoring system reads data out of the data exchange platform through the enterprise service bus, conducts analysis processing on the data obtained through reading and stores the analysis processing result into the data center. By means of the electrical energy quality online monitoring platform, the purpose that data are collected in an integrated and automated mode is achieved.

The invention discloses a mobile terminal, comprising: an OLED display screen, a connector, a rigid first terminal part and a second terminal part; the first terminal part and the second terminal part are respectively fixed on the same surface of the OLED display screen, and the connector Connected to the first terminal part and the second terminal part, the area between the first terminal part and the second terminal part of the OLED display screen can be bent; when the OLED display screen is folded toward one side, the first terminal part and the second terminal part When the terminal parts are back to back, the mobile terminal can be used as a straight mobile phone, and when the OLED display is fully opened, the mobile terminal can be used as a tablet, so as to achieve the integration of mobile phone and tablet.

The invention discloses an image search method and device based on artificial intelligence, equipment and a medium. The image search method based on artificial intelligence comprises the steps: obtaining an image search request which comprises a target user identifier, an original CT image corresponding to the target user identifier and an original endangered organ sketching image; inputting the original CT image and the original endangered organ sketch image into a dose analysis model to generate an original dose distribution map corresponding to the target user identifier; performing registration processing on the original dose distribution map to obtain a standard dose distribution map; inputting the standard dose distribution map into an image search model, and obtaining a target feature vector corresponding to the target user identifier; and querying a radiotherapy plan database based on the target feature vector, and obtaining a target dose distribution map matched with the target feature vector. According to the image search method based on artificial intelligence, the acquisition efficiency and accuracy of the target dose distribution map can be improved.

The invention provides a fusion protein gold nano-cluster complex Au@(gCTX)NCs and a preparation method and an application thereof. The technical scheme provided by the invention comprises that a recombinant chlorotoxin protein GST-CTX(gCTX) having a glioma targeting function is used as a template, and the multifunctional chlorotoxin-gold nano-cluster fluorescence complex is synthesized; at the same time, the invention relates to a preparation method of a protein gold nano-cluster complex, and also relates to the tumor targeting specificity of the chlorotoxin-gold nano-cluster fluorescence complex and use of the chlorotoxin-gold nano-cluster fluorescence complex in tumor diagnosis and treatment.

The invention discloses a miRNA data and transcriptome data penetration analysis method and system, and the method comprises the following steps: S1, carrying out the small RNA sequencing of a sample,carrying out the biological information analysis of the small RNA sequencing data, and performing screening to obtain differentially expressed miRNAs according to the expression quantity of the miRNAs; S2, performing transcriptome sequencing on the sample, performing bioinformation analysis on transcriptome sequencing data, and obtaining differentially expressed mRNA through screening according to the expression quantity of the mRNA; S3, selecting differentially expressed miRNA and differentially expressed mRNA obtained by small RNA sequencing and transcriptome sequencing to perform subsequent correlation analysis, thereby realizing a penetration analysis technology suitable for miRNA data and transcriptome sequencing data of any organism, effectively improving the data utilization rate,and improving the accuracy of data analysis. Meanwhile, potential relations between data and biological information with important research value are mined from different levels, and the purpose of data integration is achieved.

The invention relates to the technical field of new energy. The invention discloses a solar module film laminating and edge pressing device capable of automatically feeding. A fixed disc is connectedto a top of a base, a feeding device is arranged in the base, a telescopic rod is fixedly connected to a lower portion of a supporting plate, a connecting block is rotatably connected to a lower end of the telescopic rod, a mounting block is movably connected to an internal portion of the connecting block through a first spring, a clamping block is fixedly connected to the mounting block through asecond spring, and a pressing head is arranged in the mounting block. By using the solar module film laminating and edge pressing device capable of automatically feeding, during working, the clampingblock is clamped on a bottom surface of an element, the clamping block and the pressing head carry out contact rotation on the surface of the element, and simultaneously complete film laminating on the surface and edge pressing on the bottom surface so that a purpose of integrating film laminating and edge pressing is achieved. By adopting a rotary edge pressing and film laminating mode, a film and the element are attached more tightly, and problems of edge warping and falling are not easy to occur.

The embodiment of the invention discloses a communication method, a routing device, and a computer storage medium. The method comprises the following steps: receiving a call connection request transmitted to a second terminal device by a first terminal device; and if it is determined that a first device identifier ID of the first terminal device matches a device ID in a device state table, acquiring a first internet protocol IP address of the second terminal device, and establishing, according to the first IP address, a VOIP call connection between the first terminal device and the second terminal device.

The invention relates to a track mirror advertisement projection display system and method. The system comprises a projector, an imaging mirror, a fixing frame, a media sever and a rotating mechanism;an image protected by the projector is projected to any position through the imaging mirror, the rotating mechanism is used for controlling the imaging mirror to rotate, a controller is connected with the media server, the projector and the rotating mechanism separately, the controller calls advertisement video data to control the projector to play, and rotating mechanism control data is called to control the rotating mechanism to rotate. By combining the track mirror mirror system with advertisement display, when corresponding advertisement content is played, attractiveness, interestingness,playability, interactivity and the like are better achieved, and the public is easy to accept; by means of the media server, advertisement video data is stored, playing is conducted, the purpose of fusing the track mirror system and advertisements is achieved, and a new business model is shown.

The invention belongs to the technical field of big data analysis, and particularly relates to a big data analysis method based on image processing, which comprises the following steps: data acquisition: receiving video image information transmitted by a wireless sensor network through a remote processing terminal, and preprocessing: correspondingly decompressing the video image information through the remote processing terminal. The image processing method is improved, based on the wireless sensor network technology, the defects that a traditional wiring video monitoring system and a network camera are high in cost, difficult to deploy and high in installation and maintenance difficulty are overcome, and through access integration of a remote processing terminal and a wireless sensor network, collection and processing integration of video image information is achieved, the classification processing of the image information is realized, a user can quickly and conveniently obtain the needed video image information through an intelligent terminal, the collected video image information can be transmitted to an aggregation node, and a real-time image classification function is provided.

The invention discloses a white matter high signal extraction method and system based on a lesion diffusion algorithm. The method comprises the following steps: inputting an original image comprising an FLAIR image, a T1 weighted image and a white matter tissue prior probability graph; carrying out preprocessing operation on the input original image; performing abnormal signal product operation on the preprocessed image to obtain a tissue signal intensity distribution confidence map, and performing initialization and white matter high signal segmentation on the obtained tissue signal intensity distribution confidence map to obtain a white matter high signal probability map; and carrying out image binaryzation on the white matter high-signal probability graph generated after segmentation processing through a threshold value to obtain a white matter high-signal extraction graph, and superposing the white matter high-signal extraction graph on the standardized original image to obtain a white matter high-signal positioning graph. The white matter high signal extraction method is easy to operate, high in generalization, stable in effect, high in practicability and very effective.

The invention discloses an image tampering blind forensics method based on a detection-segmentation framework, and belongs to the field of deep learning and computer vision. According to the method, the tampering detection problem of an image is solved from the perspective of semantic segmentation, and tampering region detection and region segmentation are carried out by adopting an improved Mask R-CNN network. In a data preprocessing stage, original pictures are subjected to data enhancement, and sample richness is enhanced. In a feature extraction stage, a path from bottom to top is newly added to achieve fusion of multi-level feature information, and sufficient context semantic information is further obtained. In an RPN training stage, Focal Loss is adopted to solve the problem of imbalance between positive and negative samples, so that the network is easier to converge. In a post-processing stage, a Soft-NMS algorithm is adopted to solve the problems of false detection and missing detection caused by overlapping detection frames, and the detection recall rate is improved. According to the method, blind forensics of various tampered (mode) images in a complex scene is realized, and the detection and positioning precision of a tampered area is effectively improved.

The invention discloses a dry and wet integrated desulfurization and denitrification device. The device comprises: a boiler or kiln used as an implementation place of dry desulfurization and denitrification; an absorption tower used as an implementation place of wet desulfurization and denitrification; a dry feeding mechanism communicating with the boiler or kiln and used for adding a removal agent used by the dry desulfurization and denitrification into the boiler or kiln; a wet feeding mechanism communicating with the absorption tower and for adding a removal agent used by the wet desulfurization and denitrification into the absorption tower; and a communicating tube connected between the boiler or kiln and the absorption tower. The device has strong desulfurization and denitrification ability, the desulfurization efficiency reaches 99%, and the denitrification efficiency reaches 95%; the device meets the national ultralow emission standards of boiler or kiln desulfurization and denitrification, and realizes the ultralow emission requirement of national environmental protection; and the device has the advantages of investment saving, fast effect, and saving of a large amount of SCR denitrification catalyst.