605results about How to "Reduce professional requirements" patented technology

Methods and systems relating to efficient shoe manufacturing that reduce the specialized human labor required to manufacture a pair of shoes while avoiding the high costs and special maintenance requirements often associated with highly automated manufacturing equipment are provided. Systems and methods in accordance with the present invention may be used to produce multiple models of custom shoes at a single shoe manufacturing facility using overlapping workflows, thereby reducing the physical footprint of the manufacturing facility. Additionally, embodiments of the invention may provide methods and systems for efficiently producing shoes to meet the demands of a particular geographic location, thereby eliminating the need to import shoes produced in other locations.

The invention relates to a full-automatic fluorescent quantitative immunity analyzer and a method, and belongs to the technical field of detection. The full-automatic fluorescent quantitative immunity analyzer comprises a sample feeding device, a hatching device, a sampling device, a data acquisition device, a reagent card device and a system control module; the purpose of automatic quantitative immunity analysis is achieved through organic combination of all the devices and modules and mutual cooperation of all elements. According to the fluorescent quantitative immunity detection method, the full-automatic fluorescent quantitative immunity analyzer is adopted, therefore, full-automatic instrumental analysis is achieved, the detection efficiency is improved, and the professional requirement on an operator is lowered.

The invention provides an intelligent home control system based on a cloud service. The system comprises an intelligent home control subsystem, a cloud service resource and an intelligent home wireless router serving as a communication center, wherein the intelligent home control subsystem and the cloud service resource are in control connection through signal transmission by means of the intelligent home wireless router, and different two-dimensional codes are set for all terminal devices and various functional modules in the intelligent home control system respectively to serve as identification marks of a cloud computing resource control end. The system breaks through the limitation of intelligent home in field and region, a unified system platform which is rich in application service and individualized in personal requirements is formed, the development space in user experience and personal requirements is wider, the system is open and can be applied and promoted conveniently, the professional threshold for customization of the intelligent home control system is reduced, intelligentization of home equipment is accelerated, and the speed for intelligent home to be applied in ordinary families in the true sense is increased.

The invention relates to an unmanned aerial vehicle device for automatic water sampling and a sampling method. The unmanned aerial vehicle device comprises an unmanned aerial vehicle aircraft main body, an unmanned aerial vehicle supporting leg arranged on the side face of the unmanned aerial vehicle aircraft main body and an energy and control unit. The unmanned aerial vehicle device also comprises a mounting bracket arranged on the lower side of the unmanned aerial vehicle aircraft main body. An automatic water sampling unit is mounted on the mounting bracket. Driven by a stepping motor, a rotary guide shaft rotates to a position of a sampling bottle; and a water sample is imported into the sampling bottle successively through a sampling pump, a sampling hose and a groove flow guide mechanism. The unmanned aerial vehicle device provided by the invention can successively collect a plurality of sampling point water samples in a working period, so that synchronous analysis after the samples are returned is facilitated; furthermore, the sampling efficiency is increased, and the sample collecting quantity can be set flexibly according to the demand and the water sample collecting depth every time can be controlled flexibly, so that water samples in different regions or drainage basins are quickly and automatically collected.

The invention provides a method for diagnosing faults of bearings on the basis of extreme learning machines, and belongs to the field of technologies for diagnosing mechanical faults. The method includes carrying out variation mode decomposition on vibration acceleration signals to obtain IMF (intrinsic mode function) mode components; acquiring singular values of the IMF mode components by the aid of singular value decomposition (SVD) algorithms; dividing the singular values of each IMF mode component into a training sample and a test sample; utilizing the singular values of the training samples as input values of extreme learning machine (ELM) neural network models and determining input connection weights, offset values and optimal output connection weights of the ELM neural network models; utilizing the singular values of the test samples as input values of the ELM neural network models with the determined input connection weights, the determined offset values and the determined optimal output connection weights and acquiring output results which are bearing fault diagnosis results. The method has the advantages that the signals can be accurately effectively separated, component signal modes are fast in convergence and high in robustness, and the method is high in fault recognition speed and accuracy; model building can be omitted, professional requirements can be lowered, and accordingly the method is suitable for industrial application.

The invention relates to an unmanned ship device and sampling method for automatic sampling of the water quality. The unmanned ship device comprises an unmanned ship body, an energy and control unit arranged in a bin of the unmanned ship body, and an automatic water quality sampling unit. The automatic water quality sampling unit comprises a sampling bottle, a supporting body mechanism for installation of the sampling bottle, a sampling pump arranged on the outer side of the unmanned ship body, a sample hose connected with the sampling pump, and an oscillating arm water-fetching mechanism forcontrolling the sampling hose to rotate. The oscillating arm water-fetching mechanism comprises a hollow pipe nested on the outer side of the tail section of the sampling hose, and a first stepping motor connected with the end, close to the sampling pump, of the hollow pipe. By means of the unmanned ship device and sampling method for automatic sampling of the water quality, water quality samplesof multiple sampling sites can be collected sequentially in a working cycle, the samples can be analyzed synchronously after being sent back, the sampling efficiency is further improved, and water quality samples of different areas or watersheds can be conveniently, quickly and automatically collected.

The invention provides a whole-genome tumor mutation load forecasting method and equipment as well as a storage medium. The whole-genome tumor mutation load forecasting method is characterized by comprising the following steps: storing a forecasting model used for forecasting whole-genome tumor mutation load; obtaining target tumor mutation load of a target area obtained based on the mutation loadobtaining process of a sample probe; forecasting whole-genome tumor mutation load of a to-be-tested sample, wherein by adopting the forecasting model, the whole-genome tumor mutation load of the to-be-tested sample is obtained by forecasting based on the input of the obtained target tumor mutation load; a formula of the forecasting model is y=ax+b, wherein y is the whole-genome tumor mutation load obtained by forecasting; x is the target tumor mutation load; a and b are model parameters; the range of the sequencing length used for calculating the target tumor mutation load of the target tumoris 1.0 to 2.6 MB.

The invention combines a field working portable device such as a portable computer as a hardware platform for mobile GIS with satellite positioning technique and total station positioning technique to realize the whole process on illegally applied ground including transgress information collection, site image forming, displaying, editing, storing and refreshing. The portable computer is communicated with the total station via the connection with a wire cable serial-port line or wireless Bluetooth to receive and extract positioning information; meanwhile, the portable computer builds network connection with a monitoring central server via a mobile communication network to realize real-time satellite differential positioning, map data download, and site information upload. With the invention, the visual geometric mapping results is the final results and information inputting is easily achieved, so that the whole data process procedure is paper-free, electronized, real-time, fool-type, and intelligent, thereby greatly increasing field working efficiency, reducing labor intensity and reducing professional requirement for the measurement personnel.

The invention discloses a method and a device for opening an unknown file, and belongs to the field of computer software management. The method comprises the following steps of: receiving a request for opening an unknown file; according to the extension of the unknown file, acquiring an application program corresponding to the extension from an application program list stored locally; and opening the unknown file by using the acquired application program. The device comprises a receiving module, an acquisition module and an application module. According to the embodiment of the invention, the unknown file can be opened correctly after a program is installed successfully by analyzing the unknown file and recommending the application program in a targeted way, so that the troubles of a user in searching and finding software when a user needs to open the unknown file are avoided effectively; the professional requirement on the user is low; and efficiency of solving the problem is improved.

The invention discloses a data collection method and a data collection device based on script engine. The data collection method based on script engine comprises the following steps: loading collection configuration files which are configurated in advance and corresponding to current collecting tasks, analyzing the collection configuration files, and obtaining target data collecting rules; initializing all the script engines which support different scripting languages, and loading script files which are configurated in advance and formed by script methods collecting target data; downloading webpage data, searching the collecting rules of the target data which are defined on a webpage and need to be collected, and sending script method names which are configurated in the downloaded webpage data and the collecting rules to the script engine of the corresponding script languages; and transferring and executing the corresponding script methods through the script engine according to the script method names, and collecting the target data in the webpage data. Extracting, cleaning, processing and transferring in the process of data collection are achieved through modes of scrip, and suggested technical problems are solved perfectly.

The invention discloses a method for graphically generating a network television electronic program guide system module and relates to the development technology of a network television EPG module, which is proposed to aim at solving the complex and difficult development of the EPG module at present. The technical proposals adopted are that: an element set required by the display page of the television electronic program guide system, and a data source supporting the page element is established and link identifiers skipping between pages are constructed, including: A. the module page of an electronic program guide system is opened under development environment, page displaying elements are chosen from the element set and put into the module page and arrayed; B. all elements in the module page are set with properties and data supporting the element is chosen from the data source; C. the link identifiers among pages are constructed according to skipping relation. The invention can be convenient and quick to develop the EPG module and the maintenance is very simple.

The embodiment of the invention provides a deep-learning artificial intelligence model establishment method and system. The method comprises: a deep-learning artificial intelligence model establishment request of a user is received and a model establishment job stream is generated based on the deep-learning artificial intelligence model establishment request; and according to the model establishment job stream, a deep-learning artificial intelligence model corresponding to the deep-learning artificial intelligence model establishment request is generated. According to the method and system provided by the invention, the deep-learning artificial intelligence model is generated automatically based on the deep-learning artificial intelligence model establishment request sent by the user and thus the user does not need to carry out software development, so that the user can carry out operation conveniently and the professional request of the user is reduced; and the application range is wide.

The invention provides a parameter setting method of an alternating current servo system controller. The method comprises the following steps of firstly, according to the system inertia, distinguishing the system inertia; according to the distinguished system inertia J, obtaining the initial PI parameter by looking up the relationship table of PI (proportion and integration) parameter and system inertia; then, setting a target step command, sampling the corresponding feedback amount, and fitting the sampling points to obtain a system step response curve; according to the fit system step response curve, obtaining the overshoot, ascending time and stable fluctuation indexes of the response curve; according to the obtained indexes, distinguishing the types of the system step response curve. The method has the advantages that the response curve mainly have five types, and the PI parameter is correspondingly adjusted according to the types of response curve, until the indexes of the response curve meet the setting requirement of the actual application occasion; compared with the parameter optimizing method adopting the size of peak, the set parameter is more optimum, the obtained performance is better, and the operation is simple.

The embodiment of the invention discloses a visual program generation method and system. The method comprises the steps of pre-establishing a corresponding relation between primitives and data structures for realizing preset functions, wherein the primitives are graphic identifiers of the data structure for realizing the preset functions; according to the preset logical relation, generating a program flowchart by using the primitives and configuring preset data for each primitive in the program flowchart to obtain a program flowchart configured with data; generating an executable program according to the program flowchart configured with data. Since the visual program generation method disclosed by the invention is not limited by the ability of program developers and standard program generation is completed by visually designing the program flowchart. The visual program generation method and system have the advantages that the program generation efficiency is improved; in addition, developers do not need to care about the specific process of code generation and only need to visually design the program flowchart according to the demands of service functions; the professional requirements on program developers are reduced.

The invention relates to an unmanned ship device and a sample reserving method for automatic water sample reserving. The unmanned ship device comprises an unmanned ship main body, an energy and control unit and an automatic water sample reserving unit arranged in a cabin of the unmanned ship main body and a water multi-parameter monitoring probe arranged on the lower side of the unmanned ship mainbody. The water multi-parameter monitoring probe transmits water parameter data to the energy and control unit through a transmission cable; the automatic water sample reserving unit comprises a sampling bottle, a supporting body mechanism provided with the sampling bottle, a sampling pump arranged on the outer side of the unmanned ship main body, a sampling hose connected to the sampling pump and a swing arm water taking mechanism which controls the sampling hose to rotate. The unmanned ship device has the monitoring and sample reserving functions at the same time, triggers sampling by online monitoring data and preset conditions, and is immediate to reserve samples; the reserved samples are highly consistent to online monitoring objects, so that the follow-up application and analysis application are improved.

The invention provides a self-closed calibration method for eliminating short-term burst interference signals, and aims to provide a method capable of effectively eliminating influences of short-term burst interference, ensuring accurate and reliable amplitude and phase test data and improving the calibration success rate of a phased array antenna in a short-term burst interference environment. The self-closed calibration method is implemented according to technical scheme that a calibration receiver performs down-conversion on signals returned by a tested antenna, sends generated intermediate-frequency signals to a calibration signal processing unit, calculates an amplitude value and a signal-to-noise ratio (SNR) of the tested signals according to in-phase component and quadrature component sampling values acquired by sampling and digital quadrature demodulation, compares the SNR with a preset judgment threshold SNRth to judge whether the signal-to-noise ratio of the tested signals meets requirements or not, and obtains amplitude and phase test data until required amplitude and phase tests of N states are completed; and then amplitude and phase distribution of the feed is calculated according to the obtained amplitude and phase test data, evaluation is performed by applying a calibration result, and whether a convergence requirement is met or not is judged.

The invention discloses a software run-time property monitoring method based on property specification mode, aiming at providing a software run-time property monitoring method beneficial to fault discovery and diagnosis. The technical scheme includes that software run-time property monitoring requirements are classified into multiple property specification modes, a property specification template is constructed for each property specification mode; meta-information data in software to be monitored is extracted, so as to generate a meta-information file; the property specification template is configured, so as to generate a monitoring script file of the software to be monitored; the monitoring script file is analyzed, so as to generate a monitoring code; the software to be monitored and a comprehensive monitoring file are woven, so as to generate new software with run-time property monitoring capability; and the new software generated by weaving is run, software property is monitored and monitoring result is displayed. By adopting the invention, support can be provided for software fault discovery, diagnosis and defect location, software failure and maintenance cost is reduced, monitoring workload and monitoring difficulty are reduced, and timeliness is improved.

The invention discloses a robot stacking program generating method, a storage medium and a demonstrator. The robot stacking program generating method comprises the steps that the designation, conducted by a user, of stacked product parameters, tray parameters, stack type parameters and position coordinates of a stack starting material placement position is received; position coordinates of multiple material placement positions, except the stack starting material placement position, of a stack are calculated; the joint angle of a stacking robot is calculated according to the position coordinates of the multiple material placement positions of the stack, the value of the calculated joint angle and a preset joint angle limiting threshold value are compared, and if the value of the calculatedjoint angle is larger than the joint angle limiting threshold value, prompting information which prompts the user to modify the designation is sent out; and if the value of the calculated joint angleis smaller than or equal to the joint angle limiting threshold value, a stacking program is generated. By the adoption of the robot stacking program generating method, the stacking program of the robot can be automatically generated under the condition that the user does not need to conduct the complex demonstration process.

The invention discloses a method and a system for protecting data. The method for protecting the data, which is provided by the embodiment of the invention, comprises the steps that in primary initialization process of equipment where data are located, environmental factors are obtained according to the environmental information of the equipment in a security environment; sensitive data in the equipment are encrypted by utilizing the environmental factors in the security environment, and after the encryption determinately succeeds, the environmental factors are destroyed; each time the equipment is started, environmental factors are obtained according to the environmental information of the equipment in the current environment, then the encrypted sensitive data in the equipment are decrypted by utilizing the environmental factors in the current environment; and if the decryption succeeds, the access of the data in the equipment is allowed, and if the decryption fails, the access of the data in the equipment is denied. The hardware cost needed by the scheme is low, and the risk of data leakage can be greatly reduced.

The invention discloses an engineering vehicle drive-by-wire control method. The engineering vehicle drive-by-wire control method comprises a driving mode switching step, wherein when a driving mode switching switch is adjusted to a first gear, a driving mode corresponds to an unmanned driving mode, and when the driving mode switching switch is adjusted to a second gear, the driving mode corresponds to a manual operation mode; a vehicle control step, wherein a drive-by-wire controller receives a digital command signal sent by an unmanned driving module and sends the digital command signal to an execution module of a drive-by-wire chassis system; and a fault monitoring step, wherein the drive-by-wire chassis system collects vehicle working state information collected by an information feedback module and sends the vehicle working state information to the drive-by-wire controller. According to the engineering vehicle drive-by-wire control method, the two working modes including the unmanned driving module and a manual operation module are isolated by the driving mode switching switch, the drive-by-wire controller isolates the unmanned driving mode from various components of a vehicle, the requirement for the professional performance of the unmanned driving module is reduced, the safety is higher, and the adaptability is stronger.

The invention provides a fault diagnosis method for a hydraulic pump based on EMD-AR (empirical mode decomposition-auto-regressive) and MTS (mahalanobis taguchi system). The fault diagnosis method includes firstly collecting time-domain signals of the hydraulic pump in three states of normality, original rotor wear-out failure of a valve plate and wear-out failure of sliding shoes and a swash plate; then subjecting each group of the time-domain signals to EMD, and subjecting each acquired basic model component to energy-normalization processing; establishing an AR model according to each energy-normalized basic model component to acquire a characteristic matrix corresponding to the AR model, and subjecting the AR model to singular value decomposition; constructing a benchmark space by singular values in the normality, optimizing the same by an orthogonal table, calculating Mahalanobis distance between test data in the states of the normality and failures and the benchmark space, and finally judging the state of the hydraulic pump and performing failure recognition according to the Mahalanobis distance. The fault diagnosis method is applicable to processing non-stationary signals, can acquire more complete failure characteristics, so that effect of failure recognition is better, and cost is lower.

An image processing method, device and equipment are disclosed. The method includes sequentially acquiring N frames of images which are images captured by photographing a motion of a light source in a preset background by a photographing device, with the N being an integer greater than or equal to 2; and when the i-th frame image in the N frames of images is acquired, combining the light source image information in the i-th frame image with the light source image information extracted from each of the images in the previous i-1 frame images to obtain a first motion trail of the light source and displaying the first motion trail of the light source, with the i being more than 1 and not more than N. An image drawn by a user can be displayed in real time through the method, so that a user can preview a light painting image drawn by the user, thus achieving an effect of drawing while watching, and improving flexibility of light painting photographing.

The invention discloses a movable intelligent archives management platform. The movable intelligent archives management platform is characterized by comprising a dense frame, a database, an achieve storing unit indicator light which is arranged at the front end of each archive storing unit and used for guiding operators to operate, a plurality of infrared transmission modules which are arranged at a certain of intervals on a channel of an archives room and used for transmitting a location signal of the infrared transmission modules at a certain of time intervals, and an intelligent book trolley which is connected with the database and the plurality of infrared transmission modules and used for storing archives to be racked; the intelligent book trolley is used for receiving the signals transmitted by the infrared transmission modules, determining the location of the intelligent book trolley in the archives room, and automatically calculate and plan a working route of the intelligent book trolley. With the adoption of the management platform, the blindness of racking can be solved; the requirements on professional feature of racking workers can be reduced; the racking efficiency of the archives can be greatly increased; in addition, the workload of the workers can be reduced.

The invention discloses a drug and patient drug prescription checking system, a hospital pharmacy drug dispensing system and method. The checking system comprises an intelligent drug information capturing system and a hospital drug dispensing management system, wherein the intelligent drug information capturing system comprises a motor, a drug delivery belt and a plurality of CCD cameras, the drugdelivery belt is used for delivering to-be-checked drug, the motor and the drug delivery belt are connected and drive the drug delivery belt to move, the plurality of CCD cameras capture instant photos of a drug package and / or a drug label from different directions respectively and transmit the instant photos to the hospital drug dispensing management system, the hospital drug dispensing management system matches the instant photos captured by the CCD cameras and a standard photo, the drug on the drug delivery belt is recognized, the recognized drug and the patient drug prescription are subjected to matching checking, and whether to be correct is judged. The checking speed is quick, the checking efficiency is high, the number of checking pharmacists can be greatly reduced, and wrong problems existing in the checking itself can be avoided.

The invention discloses a method and a device for generating a report header. The method comprises the following steps: obtaining a header format of a report to be generated, and calculating a merged row attribute value and a merged column attributed value of a header cell corresponding to each node according to a hierarchical relationship between the tree-structure nodes corresponding to the header format; and taking contents in each tree-structure node as the contents of each corresponding header cell, and generating the header of the report according to the merged row attribute value and the merged column attributed value of each header cell. The method for generating the header of the report is simple in implementation, is low in the professional ability requirement of a user and solves the problem that reporting software is only suitable for professionals but is not suitable for non-professionals.

The invention discloses a chaos-based method for detecting and classifying early single-point faults of a mechanical component. The method comprises the following steps of: processing conventional sample fault signals in different states of the mechanical component to establish check intervals for different fault types; acquiring fault characteristic frequencies corresponding to all single-point fault states of the mechanical component to construct a frequency matrix of a Duffing chaotic oscillator; solving critical thresholds of periodic driving force amplitudes corresponding to different fault characteristic frequencies to construct a frequency-threshold matrix; and finally, adding a signal to be detected to calculate the maximum Lyapunov exponent matrix M, checking according to data inthe M, calculating correlation dimension of the signal to be detected if a fault signal is available, and classifying the faults to determine a fault mode in comparison with the established correlation dimension intervals for different fault types. By adopting the method, the early single-point faults of the mechanical component are detected and classified; and the method has high noise resistance capacity and extremely high fault detection success rate.

The invention relates to the technical field of big data of financial science and technology, and discloses an exception prompting method for a big data product, which comprises the following steps of: when it is detected that the big data product is exceptional, obtaining error information corresponding to the exception; calling an error code client SDK, and requesting an exception and error codemapping relation table corresponding to the big data product from an error code server through the error code client SDK; when the exception and error code mapping relation table is requested successfully, instantiating an error code processor through an error code client SDK according to the exception and error code mapping relation table; and processing the error information through an error code processor to obtain an error code and an error description matched with the error information, and outputting the error code and the error description. The invention further discloses an exceptionprompting device, system and equipment for the big data product and a medium. Error information of big data products is converted into error codes and error descriptions, so that operation and maintenance personnel can check the error codes and the error descriptions conveniently, and the efficiency is improved.

The invention discloses a method for automatically registering a wireless terminal by utilizing physical characteristics, which is characterized in that the wireless terminal is automatically registered by utilizing the physical characteristics containing received signal strength indication (RSSI), signal quality carrier to interference plus noise ratio / signal to interference plus noise ratio (CINR / SINR), timing offset, frequency offset, a user terminal position, a terminal signal incident angle and a wireless fidelity media access control (MAC) address to serve as authentication conditions. According to the method for automatically registering the wireless terminal by utilizing the physical characteristics, a wireless user is registered by a simple step, thereby, the use complexity is reduced, and the information safety of the user is ensured. The method for automatically registering the wireless terminal by utilizing the physical characteristics has good popularization value.

The invention discloses a multi-residue colloidal-gold rapid detection kit and a detection method and application thereof, belonging to the field of immunology. The kit provided by the invention mainly comprises a multi-residue colloidal-gold rapid detection card; the detection card comprises a detector bar and a plastic card shell, and the detector bar is composed of a sample pad, a colloidal-gold antibody binding pad, a nitrocellulose membrane and a water absorbing pad. The colloidal-gold antibody binding pad comprises a colloidal gold labeled gentamycin monoclonal antibody, a colloidal gold labeled kanamycin monoclonal antibody and a colloidal gold labeled fluoroquinolone monoclonal antibody. The central part of the nitrocellulose membrane is coated with a detection line and a control line, wherein the detection line is arranged to be a protein conjugate and the control line is a goat anti-mouse IgG monoclonal antibody. The rapid detection kit provided by the invention can realize simultaneous detection of a plurality of residues only through simple pre-treatment, the whole operation process is simple, the kit is convenient to carry, result determination is rapid and accurate, and the kit is applicable to on-site monitoring and to qualitative screening of considerable samples.