59results about How to "Accurate analysis and processing" patented technology

The invention discloses a time-varying mixed-phase seismic wavelet extraction method based on time-frequency spectrum simulation. The method is characterized in that on the basis that improved generalized S transformation is carried out on a non-stationary seismic record, a time-frequency filter is introduced for the first time to filter a time-frequency spectrum of the seismic record, then a wavelet amplitude spectrum at each moment is estimated according to the spectrum simulation method, a mixed-phase spectrum of the wavelets is reconstructed in the seismic record with the time-varying wavelet amplitude spectrums removed according to the bispectrum method of high-order cumulants under the assumed condition that the phases of the wavelets are time-invariant, and the amplitude spectrums and the phase spectrum are combined to achieve extraction of the time-varying mixed-phase wavelets. Compared with a conventional stage extraction method, the time-varying wavelet extraction method has the advantages that the assumption that stages of the wavelets are stable is not needed, the time-varying wavelets can be accurately estimated even though the attributes of the wavelets at adjacent stages vary greatly, the mixed phase of the extracted wavelets is more consistent with the reality and seismic data can be analyzed and processed more finely and more accurately. The method has great application value in improving the resolution of the seismic data.

The invention discloses an adaptive frequency domain window empirical wavelet transformation resonance demodulation method for rolling bearing fault diagnosis. The method comprises steps that step 1, according to acquired parameter indexes, upper and lower cut-off frequency change fluctuation scopes of a frequency domain window are determined; step 2, an empirical wavelet function is constructed, a wavelet coefficient after empirical wavelet transformation is acquired through calculation, and a modal component signal is reconstructed; step 3, an improved envelope harmonic wave signal to noise ratio of the modal component signal is finally determined through normalization processing; step 4, the improved envelope harmonic wave signal to noise ratio of the modal component signal is taken as an optimal fitness function value, a particle swarm optimization method is employed, and the optimal frequency domain window position is determined; and step 5, the fault characteristic information of a rolling bearing fault vibration signal is extracted, resonance demodulation analysis for rolling bearing fault diagnosis is accomplished. The method is advantaged in that a signal frequency band zone can be flexibly selected, and the rolling bearing fault is diagnosed through resonance demodulation through utilizing particle swarm optimization frequency domain window empirical wavelet transformation.

The invention discloses a detection system and method for an oxynitride sensor. The detection system comprises a tail gas distribution simulation device, a heating device, a silicon controlled rectifier (SCR) detection device, an electric signal test device and a tail gas discharging processing device, wherein the tail gas distribution simulation device is connected with one end of the heating device; and the other end of the heating device is connected in parallel with the SCR detection device, the electric signal test device and the tail gas discharging processing device. The detection system has a simple structure, can perform an experiment with different test requirements on the oxynitride sensor, can detect the real-time working state of the oxynitride sensor and can record relevant data, and can be used for researching and developing the oxynitride sensor; and the problem about exploration of researchers for an oxynitride sensor test carrier is solved.

The present invention belongs to the technical field of traffic management and provides a traffic facility management method and a terminal device. The method includes steps of firstly acquiring the first traffic facility information sent by an acquiring terminal, wherein the first traffic facility information includes an acquired image and the location position of a traffic facility; decreasing the identification range of the traffic facility to a first identification range according to the location information of the traffic facility; determining the first status information of the traffic facility according to the first identification range and the acquired image; and finally determining the maintenance task of the traffic facility according to the first status information. The method can accurately analyze and process the acquired image of the traffic facility in real time, and obtains the first status information of the traffic facility, so that a worker can obtain the damage condition of the traffic facility according to the first status information, and timely arranges the maintenance work according to the first status information to avoid traffic accidents caused by the damaged traffic facility and ensure road traffic safety.

The invention provides a webpage image analysis method and apparatus and a browser. The webpage image analysis method comprises the following steps: obtaining a webpage image and image parameters of the webpage image; looking for and loading an image analysis library corresponding to the webpage image; judging whether the webpage image is in a format analysable for the image analysis library or not; when the webpage image is in the format analysable for the image analysis library, transmitting the image parameters to the image analysis library; and analyzing the image parameters. The image analysis library can realize data transmission with the browser and analyze the webpage image. After the image parameters of the webpage image are obtained, whether the image is in the format analysable for the image analysis library or not can be judged, and if the image is the format analysable for the image analysis library, the image parameters are transmitted to the image analysis library for processing. With the adoption of image analysis logic provided by the invention, the browser can analyze webpage images in any format, so that the images can be normally displayed.

The invention discloses a fault diagnosis method for on-line monitoring equipment of a transmission line, comprising the following steps: (1) obtaining a fault code uploaded by the on-line monitoringequipment; (2) adopting 3 delta criterion to process the acquired fault code, retaining the fault code belonging to random error and eliminating the fault code containing gross error; (3) adopting thefault code obtained in the last step of the V system to code to obtain the eigenvalues of the set of fault codes, and establishing a fault information database according to the extracted eigenvalues;(4) the neural network self-learning training is carried out to the fault information obtained in the previous step, and the trend is predicted; (5) Comparing the eigenvalues of the V system of the predicted data, the diagnostic results are given; The invention realizes multiple data processing and accurate diagnosis of fault data uploaded by the on-line monitoring equipment, is flexible and changeable in control, is convenient for monitoring personnel to discover fault points in time and carry out maintenance, and improves the efficiency of operation and maintenance work.

The invention discloses a database slow query log processing method, which comprises the following steps that a server acquires the slow query logs from log storage equipment in real time, and performs pattern matching on each slow query log by adopting a slow query matching library preset in the server to obtain data query statements and data query index values in the slow query logs; the servergenerates a structured message of the slow query log based on the data query statement and each data query index value, and sends the structured message to a message system; and the computing platformacquires the structured message from the message system in real time, performs syntax tree analysis on a data query statement in the structured message to generate an abstract mode of the data querystatement, and performs statistical analysis and data storage based on the abstract mode and the corresponding data query index value. The invention further discloses a processing method of the database slow query log executed by the server and the computing platform part, the corresponding server and the corresponding computing equipment.

The invention provides a stem object analysis system and a stem object analysis method. A long-stem and short-stem analysis system is mainly used for analyzing stem objects and comprises photographing equipment and analysis equipment, wherein the photographing equipment is used for acquiring and outputting an image of stem samples to be detected, and the analysis equipment is connected with the photographing equipment and is used for receiving the image of the stem samples to be detected output by the photographing equipment, then identifying and calculating stem quantity information of the stem samples to be detected and stem length information showed in the image by a processing method provided by software in the analysis equipment and calculating length proportion information of the stems in stem samples to be detected according to the stem quantity information and the stem length information showed in the image. Furthermore, according to a long-stem and short-stem analysis method, the problems of low efficiency and high dependency on workers in a stem object detection process in the prior art are completely solved.

The embodiment of the invention discloses an industrial equipment state management and control method and device integrated with an artificial intelligence algorithm, and the method comprises the steps: carrying out the secondary recognition after obtaining a first physical state feature corresponding to target industrial equipment, and obtaining a second physical state feature; judging the running state of the target industrial equipment based on the second physical state feature, and if the running state is abnormal, performing fault detection on the target industrial equipment based on a preset standard test working condition; if the fault detection result meets a preset condition, predicting the target industrial equipment by utilizing a preset hybrid model to obtain expected life information; determining a target operation condition of the target industrial equipment according to the expected life information; and based on the target operation condition, adjusting the actual operation condition of the equipment. By the adoption of the method, the actual working condition of the industrial equipment can be measured and calculated, then set parameters are corrected, automatic management and control are achieved, and the operation efficiency of the industrial equipment is improved.

The invention discloses a wind power generator paddle lightning wire breakage testing system and method, and belongs to the field of wind power generator set lightning wire breakage detection. The wind power generator paddle lightning wire breakage testing system comprises a paddle and a lightning wire arranged in the paddle. The lightning wire is in glue connection to the inner wall of the paddle. The lightning wire is arranged to the paddle root position of the paddle from the paddle tip position of the paddle. The part, located at the paddle root position of the paddle, of the lightning wire is loaded with a pulse signal generation device. The lightning wire is sleeved with a sensor. Signal transmission connection is established between the sensor and a computer through a signal conditioning circuit. The computer controls the pulse signal generation device to send out pulse signals loaded to the lightning wire. The wind power generator paddle lightning wire breakage testing system and method have obvious advantages that testing is convenient, and the wire breakage position is tested; and the wind power generator paddle lightning wire breakage testing system and method are suitable for usage and popularization.

The invention discloses a network data information display management method and system, and relates to the field of data information display management. The method comprises the steps that network data information is crawled and analyzed; a supreme permission administrator is set, and multiple industry fields are created under permission of the supreme permission administrator; the supreme permission administrator allocates a common administrator in each industry field, and each common administrator manages and displays data of the corresponding industry field according to crawled network data information. According to the network data information display management method and system, multiple industry fields are created under permission of the supreme permission administrator, then multiple common administrators are created, different user permissions are created for different industry fields, and finally the created permissions are allocated to the common administrators; therefore, different common administrators have the industry fields with the corresponding permissions respectively, classified management of different industry data is promoted, and the data management process is more orderly.

The invention discloses an online monitoring system used for low-speed heavy-load equipment, and belongs to the technical field of monitoring systems, and the online monitoring system comprises a signal acquisition module. The online monitoring system is characterized in that a spectrum analysis module and a storage are electrically connected with the signal acquisition module, wherein the storageis separately connected with a control analysis module, a state analysis module and a display module electrically; the spectrum analysis module is electrically connected with the storage and the control analysis module separately; and the control analysis module is electrically connected with the signal acquisition module. The online monitoring system automatically regulates sampling interval time according to a fault development condition of the equipment, can sample less when the equipment stably operates, and increases sampling times when the equipment has faults and a worsened operation condition, so that the resource and energy consumption can be reduced, and analysis treatment is favorably performed on the signal.

The invention discloses an LED dual-control signal level adjustment type energy-saving control system. The system is characterized by mainly consisting of a single chip microcomputer, an LED lamp connected with a controller, an infrared ray probe HW connected with a signal processing unit, as well as a buzzer, a power supply, the controller, the signal processing unit and a brightness sensor which are connected with the single chip microcomputer, wherein the signal processing unit comprises a processing chip U, a field effect transistor MOS, a transistor VT3, a signal level adjustment circuit, a second order filter amplifying circuit and a signal output conditioning circuit. According to the system, turning on and turning off of the LED lamp can be controlled based on a personnel flow condition within a use range of the LED lamp and a brightness condition within the use range of the LED lamp, and collected personnel flow information can be accurately analyzed and processed, so that accurate control of the LED lamp can be ensured.

The invention discloses an LED dual control type multi-circuit treatment type energy-saving control system. The system is characterized in that the system is mainly composed of a single-chip microcomputer, a buzzer, a power supply, a controller, a signal processing unit, a brightness sensor, an LED lamp which is connected with the controller, and an infrared ray probe HW which is connected with the signal processing unit, wherein the buzzer, the power supply, the controller, the signal processing unit and the brightness sensor are connected with the single-chip microcomputer; and the signal processing unit is composed of a processing chip U, a field effect transistor MOS1, a transistor VT3, a sampling and holding circuit, a phase difference correcting circuit, a second-order filtering amplification circuit, a signal output conditioning circuit and the like. According to the invention, opening and closing of the LED lamp are controlled through the moving of personnel within the use range of LED lamp and the brightness in the use range of the LED lamp; accurate analyzing and processing can be carried out on the collected personnel moving information; and accurate LED control is ensured.

The invention discloses a variable speed/variable load rolling bearing fault diagnosis method based on mode conversion. The method comprises the following steps: through assuming that fault rolling bearing vibration signals are at least composed of two signal sources with different distribution characteristics, a bearing vibration signal model is built; based on a threshold technology and a tail estimation method, the signals are preliminarily separated and analyzed to obtain signal modes with different distribution characteristics; an expectation-maximization theory is combined to build a hidden Markov model for the signals to acquire noise pulses, subtraction with original signals is carried out to further improve the signal-to-noise ratio of the signals; and finally, the traditional envelope spectrum is used to analysis the signals, and whether fault happens to the rolling bearing and the type of the fault are evaluated. On one hand, the problem that the vibration signals under a variable speed/variable load condition is hard to diagnose is overcome; and on the other hand, the problem that high-energy pulses change the envelope of the signals and thus, the traditional envelope method can not be applied in a condition of existence of non-Gaussian noise can be solved.