60results 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 invention provides an automatic detection device and detection method of pin shrinkage of an aviation electrical connector contact, and belongs to the technical field of electrical connectors. Theinvention aims at solving the problems of numerous blind spots and inaccurate visual positioning of substations caused by manual inspection. The automatic detection device of the pin shrinkage of theaviation electrical connector contact provided by the invention comprises a detection platform and an upper computer; a motor is driven by the upper computer to drive a three-dimensional movement mechanism to move so as to drive a visual detection mechanism and a pin shrinkage detection mechanism to move to perform movement on an electrical connector to be tested installed on an electrical connector mounting mechanism; and the pin shrinkage detection mechanism sequentially contacts each contact pin on the electrical connector to be tested, applies a constant force to each contact pin, simultaneously obtains the displacement value of each contact pin and uploads the displacement value to the upper computer, and the upper computer generates a measurement table based on the displacement value, and judges whether the contact pin generates a pin shrinkage phenomenon according to the displacement value to completes the automatic detection process. The automatic detection device provided bythe invention is used for performing automatic detection on electrical connector contacts.

The invention provides a case intelligent pushing method and system based on case semantic analysis, and the method comprises the following steps: S1, carrying out the preprocessing of a case description text of a case, which comprises word segmentation, part-of-speech tagging, and stop word removal; S2, extracting important features of the case according to the preprocessed case description textto form a feature vector of the case; And S3, associating related cases according to the feature vectors, obtaining the comprehensive similarity between the case and each related case by adopting a case feature similarity calculation method, sorting the related cases according to the similarity, and pushing the cases with high similarity. Through the method and the system provided by the invention, the workload of case analysis and manual processing can be reduced, the working cost and the time cost of police officers are greatly reduced, and the case solving efficiency is improved.

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 safety alarm method and system based on image recognition, and the method comprises the steps: obtaining the personnel distribution state information of a target place through the processing of a place environment image obtained through the photographing of the target place, determining a key monitoring region corresponding to the target place, and obtaining a corresponding image picture through extraction; recognizing the returned image picture to obtain the corresponding character identity information and / or character action posture information, so the safety state of the key monitoring area is judged, the alarm operation is performed, and the shot and monitored image can be automatically, quickly and accurately analyzed and processed; in this way, the personnel existence condition of the corresponding position area is obtained, whether potential safety hazards exist in the position area or not is determined, and therefore, alarm operation is conducted on the position area in a targeted mode to effectively avoid safety accidents.

The present invention relates to a method and a device (10) for detecting malfunction of an ultrasonic transducer (11). The method comprises the steps of applying the ultrasonic transducer (11) with an excitation signal, a determining of an impedance signal (20), which describes the impedance of the ultrasonic transducer (11) with respect to the excitation signal, a generating an impedance envelope (21) of the impedance signal (20 ), and of comparing the impedance envelope (21) with a reference envelope (31), wherein a malfunction is detected if the impedance envelope (21) is not equal to the reference envelope (31). In particular, the excitation signal in this case comprises a plurality of frequencies, in particular a sweep, whereby the process can also be carried out during a transmission operation of the ultrasonic transducer (11). Thus, a particularly reliable method for detecting a malfunction of the ultrasonic transducer is provided which can be carried out for a distance measurement by means of the ultrasonic transducer. The method is stable against misstatement or individual impedance values of the impedance signal.

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 belongs to the technical field of computer security, and discloses a security event processing system and method based on computer network information. The system comprises a network monitoring module, a data acquisition module, a data mining module, a data processing module, a central control module, an information security evaluation module, an event analysis module, an event processing module, a data storage module, an alarm module and a display module. According to the system, most invalid and repeated information in the network security information can be filtered, the information processing efficiency and the information availability are improved, and the security event analysis and processing efficiency is effectively improved; meanwhile, real-time high-speed analysisand merging processing of the security events and presetting of merging logic of the merging events can be achieved, unified management of the security events is facilitated, and the security of computer network information is greatly improved; in addition, the security events are accurately analyzed and processed, and efficient execution of a network security function is ensured.

The invention discloses a remote health monitoring management system and method. According to the invention, sign data is monitored through each sign health data monitoring device at a field monitoring point; the physical sign data is transmitted to the remote monitoring center through the Internet, then the physical sign data is analyzed and processed by the remote monitoring center and the system server platform, and health monitoring data analysis and processing result feedback, health early warning and health management are carried out. The problems that data monitored by an existing physical sign monitoring device is scattered, pathological condition analysis and condition evaluation cannot be comprehensively carried out, a reasonable health management scheme is given in combination with the actual condition of a patient, and certain limitation exists are solved. And secondly, the analysis and processing of the health monitoring data are more accurate and quantitative, and a powerful guarantee is provided for further health evaluation and evaluation, health early warning and health management of the system. Finally, rich health management schemes are provided.

The invention discloses an automatic detection method for mycoplasma culture, identification, counting and drug sensitivity results. The method comprises the following steps: based on a visual image acquisition system and corresponding automatic analysis software, converting an optical signal of an image into a digital signal by using the visual image acquisition system; displaying images of mycoplasma culture, identification, counting and drug sensitivity results on a computer screen; allowing the automatic analysis software to automatically analyze permutation and combination of different colors according to preset conditions with the colors of the images and color collocation and combination as indexes; and displaying qualitative identification results of ureaplasma (Uu) and / or Mycoplasma hominis (Mh), semi-quantitative counting results of Uu and / or Mh and drug sensitive test results of antibiotics. The method provided by the invention can overcome problems in automatic monitoring of mycoplasma culture, identification, counting and drug sensitivity results, improves automatic storage of original pictorial information so as to facilitate retrospective query and check of an original result database and can rapidly, timely and accurately analyze and process large-batch original result data.

The invention discloses an LED (Light-Emitting Diode) double-control signal phase difference correction type energy-saving control system which is characterized by mainly comprising a singlechip, a buzzer, a power supply, a controller, a signal processing unit, a brightness sensor, an LED lamp and an infrared probe HW, wherein the buzzer, the power supply, the controller, the signal processing unit and the brightness sensor are all connected with the singlechip; the LED lamp is connected with the controller; the infrared probe HW is connected with the signal processing unit; the signal processing unit comprises a processing chip U, a field-effect transistor MOS, a triode VT3, a phase difference correction circuit, a second-order filtering amplifying circuit, a signal output conditioning circuit and the like. According to the LED double-control signal phase difference correction type energy-saving control system disclosed by the invention, turn-on and turn-off of the LED lamp can be controlled according to a turnover condition in a using range of the LED lamp and a brightness condition in the using range of the LED lamp, and the LED double-control signal phase difference correction type energy-saving control system can accurately analyze and process acquired turnover information so as to ensure that the LED double-control signal phase difference correction type energy-saving control system can accurately control an LED.

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 double-control-type energy-saving control system. The system is characterized by being mainly composed of a single chip microcomputer, a buzzer, a power source, a controller, a signal processing unit and a brightness sensor which are connected with the single chip microcomputer, an LED lamp connected with the controller and an infrared probe HW connected with the signal processing unit; the signal processing unit is composed of a processing chip U, a field effect transistor MOS, a triode VT3, a second-order filtering amplification circuit, a signal output conditioning circuit and the like. Opening and closing of the LED lamp can be controlled on the basis of the staff movement phenomenon within the LED lamp application range and the brightness within the application range, collected staff movement information can be accurately analyzed and processed, and therefore it is ensured that the LED can be controlled.

The invention relates to a large-diameter circular knitting machine rotation period prediction method and system using an adaptive filter, and aims at the phenomenon that the rotation period of a large-diameter circular knitting machine is unstable in the actual production in the textile industry. The filter combines the advantages of an RLS period prediction algorithm and a single step period prediction algorithm, the rotation period of the large-diameter circular knitting machine in the actual production can be effectively and accurately predicted. The method and system of the invention areclosely combined with a defect detection visual system, the prediction period can be quickly and accurately obtained through real-time analysis and adaptive filtering process of a serial port signal,the prediction period can be used to calculate the rotational speed of the large-diameter circular knitting machine, an image that needs to be captured by the defect detection visual system is positioned, defects in the entire batch fabric are also positioned, and a basis is laid for the realization of a highly effective gray cloth detection system. The method and system of the invention can quickly and accurately predict the period of the large-diameter circular knitting machine, reduce the difficulty of accurate capture of the defect detection visual system, and improve the positioning accuracy of the defects.

The invention discloses an anti-fraud fund analysis method. The method comprises the following specific steps: automatically extracting case-related account transaction flow data; uploading transaction flow data of all case-related accounts; sorting, integrating and organizing in a semi-automatic manner to obtain result data; storing the result data; automatically analyzing the result data to obtain a case-related account subordinate card; performing card type flow direction analysis on the result data; performing new account analysis on the result data; performing series card analysis on theresult data; performing common transaction account analysis on the result data; and performing disappearance account analysis on the result data. According to the invention, key clues and evidence information such as fund exchange rules, fund flow direction tracks, fund flow network key nodes and the like can be analyzed from tens of thousands of fund transaction flow data, and the data information can be accurately analyzed and processed, so that manpower is greatly saved, a large amount of time is saved, and the case handling efficiency is improved.

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.