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

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 relates to an unmanned aerial vehicle device and a sampling method for automatic sampling of water quality, comprising a main body of an unmanned aerial vehicle, an unmanned aerial vehicle foot arranged on the side of the main body of the unmanned aerial vehicle, and an energy source and a control unit. The man-machine device also includes a mounting bracket arranged on the underside of the main body of the drone, and an automatic water quality sampling unit is mounted on the mounting bracket. Driven by the stepping motor, the rotating guide shaft rotates to the position of the sampling bottle, and the water quality sample is sequentially introduced into the sampling bottle through the sampling pump, the sampling hose, and the groove guide mechanism. The UAV device of the present invention can sequentially collect water quality samples at multiple sampling points in one working cycle, which is convenient for synchronous analysis after returning, further improves sampling efficiency, and can flexibly set the number of samples collected according to requirements and can flexibly control each water quality sample. The depth of sample collection is convenient for fast and automatic collection of water quality samples in different regions or watersheds.

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 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 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 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 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 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.

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 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 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.