31results about How to "High hardware requirements" patented technology

The invention provides a workflow operation method and a system thereof. The method comprises the steps: presetting a flow definition model and a flow operation model, wherein the flow definition model comprises preset task definition, flow definition, node and migration objects, the flow operation model comprises preset flow instance, flow branch, task instance and flow variable objects; creating a flow instance according to the preset flow definition, and creating an execution thread corresponding to the flow instance; triggering the execution thread to flow, so as to acquire migration flow direction of a left flow at an initial node of the flow instance; and calling the migration flow direction of the flow to trigger workflow to operate. The method and the system provided by the invention can firstly meet workflow operation requirements of high data quantity and high concurrent load, secondly reduces application difficulty of development, testing and management, and finally has simple technical architecture and low hardware requirement while meeting performance requirement and also meets the low cost intensification requirement.

The invention relates to a thunder and lightning locator with sound sensors and a locating method thereof. The thunder and lightning locator comprises four sound sensors, a four-passage data acquisition card and a data processing system, wherein the four sound sensors are distributed on four observing points; when thunder and lightning occur, the sound sensors positioned on the four space observing points respectively record the thunder reaching time of the observing points; four groups of time data are converted from A/D (analog to digital) by the four-passage data acquisition card and then transmitted to the data processing system; the data processing system solves the difference of the thunder reaching time of three space observing points through logical operation and computes the difference of the distances of the three space observing points according to the propagation speed of sound in the air; and a coordinate of a thunder and lightning generation position is determined according to an equation set and a principle that a point can be determined by intersecting three hyperboloids in space. The invention ensures high measurement precision, also simplifies a locating measurement method, reduces the hardware requirements and the equipment cost, realizes the accurate automatic locating of the thunder and lightning and can be widely used in the field of meteorological sounding.

The invention belongs to the technical field of metal corrosion morphology grade judgment, and discloses a corrosion grade information processing method and system based on image recognition, and themethod comprises the steps: obtaining a labeled laboratory metal morphology picture as a data set; carrying out the de-duplication on the obtained training data set, randomly selecting a half of images of each category as a test set, and taking other images as training set images; expanding the training data set, namely carrying out the data enhancement; building a convolutional neural network model by using a Keras framework, carrying out model training, and storing optimal model parameters; and analyzing the grade of the corrosion morphology of the metal surface by utilizing the trained optimal model. According to the method, the judgment of the metal corrosion morphology grade is realized by using a computer vision technology, so the judgment efficiency is greatly improved and the judgment uniformity and objectivity are ensured under the condition of ensuring the judgment accuracy. The method can assist engineers engaged in material research in judging the metal corrosion grade, andvarious difficulties of a previous judgment method are solved.

The invention discloses a signal shielding system based on a wireless network and a method thereof, and relates to a wireless data frame recombination technology. The system is as follows: a wireless collection module (1), a data analysis module (2) and a data management module (3) are interacted in sequence, thereby implementing data capture, analysis and storage operations; a user interaction module (6), the data analysis module (2), a data packet recombination module (4) and a data packet sending module (5) are interacted in sequence, thereby implementing data extraction, recombination and sending operations of a user designated AP; and the data management module (3) is respectively interacted with the user interaction module (6), the data analysis module (2) and the data packet sending module (5), thereby implementing user information, analysis data and log saving and storage. The signal shielding system based on the wireless network and the method thereof disclosed by the invention have the following advantages and positive effects: (1) the pertinence is strong; (2) the real-time performance is high; (3) the expansibility is good; and (4) the imperceptibility is strong.

The invention belongs to the field of image processing in computer vision, and particularly relates to a Faster RCNN convolutional neural network single-target recognition method based on a LeakyReluactivation function. The invention provides an improved relu activation function, namely a LeakyRelu activation function, and the function better reserves image data information and is more beneficialto extraction of image features. The function is applied to the field of detection and extraction of a target object in an image in a convolutional neural network, so that the detection accuracy is improved. The detection accuracy of an existing neural network image processing algorithm is improved, and the problems caused by image recognition and detection of a convolutional neural network adopting relu as an activation function at present are solved.

Provided is a high-speed bullet train side window model boundary displacement calculation method based on RS mapping. The method comprises the steps that an overall model of a high-speed bullet train body and a side window structure is built, a local model of a side window is built, displacement and coordinates of all nodes in the overall model under various working conditions are obtained, and displacement interpolation parameter calculation is conducted on all nodes on the boundary of the local model; displacement of all the nodes on the boundary of the local model is obtained according to the displacement interpolation parameters and displacement of a specified node, displacement of the node is loaded to the local model of the side window, the bonding strength of the side window is analyzed, and stress and deformation of a side window adhesive are obtained. The invention provides a high-speed bullet train side window bonding strength calculation method.

The invention discloses a seismic mitigation and isolation structure wave selection and efficient design system. The method comprises the following steps: establishing a seismic wave database; preliminarily arranging a seismic mitigation and isolation scheme, and calculating the period extension or additional damping ratio of the seismic mitigation and isolation structure; determining a standard design spectrum of a certain site; preferably selecting seismic waves in the seismic wave database according to a multi-band control method; performing systematic calculation of the fitting degree of the standard design spectrum and the seismic wave response spectrum; designing a response spectrum in combination with fortification and rare occurrence earthquakes, and performing systematic multi-index evaluation on the seismic mitigation and isolation scheme effect; modifying the scheme according to the evaluation result until the system evaluation requirement is met; carrying out finite element software seismic mitigation and isolation analysis verification; and completing the shock absorption and isolation design. The high-efficiency seismic mitigation and isolation design method is realized, an analysis and evaluation system is comprehensively designed, an integrated operation process is realized, the calculation and analysis efficiency is greatly improved, the number of repeated iterations in the seismic mitigation and isolation design process is reduced, and the method is suitable for popularization and application of high-efficiency seismic mitigation and isolation design in various regions.

The invention provides a text image direction correction method and device, and the method comprises the steps: intercepting a pixel block of a target printed single character from a target text imageaccording to a preset interception rule, and generating a printed character matrix corresponding to the pixel block; respectively obtaining a first dimension reduction vector corresponding to the printing word matrix and a second dimension reduction vector corresponding to the rotated printing word matrix by applying a preset principal component analysis model, wherein the principal component analysis model is an unsupervised machine learning model which is obtained by pre-training and is used for determining the characteristics of the printing word matrix; obtaining a target row vector corresponding to the first dimension reduction vector from a pre-obtained feature vector library, and obtaining an inclination angle and an inclination direction of a target text image according to the first dimension reduction vector, the second dimension reduction vector and the target row vector so as to correct the direction of the target text image. The accuracy and efficiency of recognizing the inclination angle of the text image can be improved, and then the accuracy and efficiency of text image direction correction are improved.

The invention provides a rapid detection method for distinguishing strong and weak toxicities of H7N9 subtype bird flu virus. A real-time fluorescent quantitation RT-PCR nucleic acid rapid detection method for distinguishing strong and weak toxicities of H7N9 subtype bird flu virus is established by comparing nucleotide sequences of HA and NA genes of H7N9 subtype bird flu virus separated in recent years and respectively designing a primer and a probe in a conservation zone thereof. According to the real-time fluorescent quantitation RT-PCR nucleic acid rapid detection method for distinguishing strong and weak toxicities of H7N9 subtype bird flu virus provided by the invention, strong and weak toxicities of H7N9 subtype bird flu virus can be detected and distinguished in a same reaction tube and the H7N9 subtype bird flu virus can be detected; the rapid detection method has high sensitivity and short detection time; open links, such as electrophoresis, are not required; only a fluorescent PCR instrument is required for finishing the detection in an airtight reaction tube; during the detection process, a reaction curve can be checked in real time and a result can be quickly judged.

The invention provides an aerostat main cable surface defect detection method and system based on small sample learning. The method comprises the following steps: setting a system software and hardware environment; aerostat main cable surface images are collected and processed through preset adversarial network expansion, cable surface enhanced image data are obtained and marked, and a defect sample library is constructed according to the cable surface enhanced image data; designing a network model according to a DenseNet network and main cable defect characteristics, constructing the network model by using small sample learning, and training the network model according to a defect sample library; processing the query set in the defect sample library by using the trained network model and using a yolov4 single-stage detection algorithm so as to obtain shallow texture features and high-level semantic features; the structure of a DenseNet network of a network model is utilized, shallow texture features are transmitted to high-level semantic features through jump connection, and the high-level semantic features are processed through metric logic; and selecting and acquiring surface defect detection data of the main cable of the aerostat in different modes at the terminal. The technical problems of high defect omission ratio, high false detection rate and low detection efficiency are solved.

The invention discloses an automatic repair method for a firewall system, comprising: configuring an emergency server; after powering on a crashed equipment, entering a firewall system bootstrap program, connecting to the emergency server, and downloading an emergency repair program; the emergency repair program enters a crashed system to perform a scan to obtain a broken condition of the equipment software system and a diagnostic message of the hardware; packing the diagnostic message to a data report file, and uploading the data report file to the emergency server; the emergency server receives and analyzes the diagnostic report; if the firewall system can be repaired, the emergency server collects programs and data required for repairing and unlocking the system based on the analysis, and packing the programs and data to a data file; the emergency server sends the data file and information whether being repaired to the crashed equipment as a system repair pack; and if the firewall system can be repaired, an emergency repair program in the crashed equipment carries out a repair. The invention increases the reliability of the firewall system.

The invention discloses a design method of a seismic mitigation and isolation overhead corridor structure in a high-intensity and high-wind-pressure area, and relates to the field of design of seismic mitigation and isolation overhead corridor structures. According to the design of the overhead corridor structure located in the high-intensity and high-wind-pressure area, the bearing capacity limit state and the normal use limit state need to be guaranteed at the same time, a seismic isolation layer is formed between a corridor and the single buildings through a seismic isolation support due to the fact that the natural vibration periods of connected single buildings on the two sides are usually different, and the horizontal force of interaction can be greatly reduced; the deformation is inhibited through a damping device, so that a better structural design scheme is achieved. Based on a standard design spectrum principle, the invention provides the design method for the seismic mitigation and isolation overhead corridor suitable for the high-intensity and high-wind-pressure area aiming at the conditions that the lower part of the seismic isolation layer is a building structure and the mass of an upper structure of the seismic isolation layer is smaller than that of a lower structure. According to the design method of the seismic mitigation and isolation overhead corridor structure in the high-intensity and high-wind-pressure area, excitation at a corridor support is obtained through single earthquake response, and a horizontal earthquake design spectrum for designing the upper structure of the corridor seismic isolation layer is obtained through envelope regression.

The invention discloses an artificial intelligence service system with high security. The artificial intelligence service system comprises a cloud computing platform, a bait platform and a user terminal, wherein the cloud computing platform is used for storing and processing data and training an artificial intelligence model; the bait platform is used for receiving data sent by a user terminal, a database used for storing data is arranged in the bait platform, a converter used for reading the data and generating new data is arranged in the bait platform, and the new data generated by the converter and original data are the same in content and different in format at the same time. The cloud computing platform only receives data in a format to which new data belongs, and the new data is transmitted to the cloud computing platform; and the user terminal sends a deployment request corresponding to the artificial intelligence model to the bait platform under the triggering of a user, and receives a processing result output after processing of the cloud computing platform. By means of cooperation of the bait platform and the cloud computing platform, isolation between data uploaded by the user and the cloud computing platform is achieved, and safety is improved.