57results about How to "Enable real-time analysis" patented technology

The invention is a method for processing fundus images based on machine vision. The method comprises the following steps of: loading collected fundus images; opening the collected fundus images, matching the fundus images; measuring the fundus images, and splicing the fundus images, wherein the image matching comprises automatic matching and manual matching; carrying out the measurement of the fundus after the completion of matching, cutting the interested region of the matched images, setting as a comparison mode to display two images, and then manually setting a characteristic region in the images, measuring the area of the fundus characteristic region in two images; the fundus image splicing means that a plurality of fundus images are loaded in the eyes of one person to automatically splice, so that a doctor can see the full view of the fundus images of a patient. The invention can realize the functions of real-time analysis, diagnosis, storage and transmission of the fundus images of the patient, thereby assisting the diagnosis of an ophthalmologist to improve the accuracy and the convenience of the diagnosis.

The invention discloses a civil aircraft test flight vibration fault prediction model which is established through the following steps: 1, establishing a database which is composed of a characteristicparameter set and states corresponding to characteristics; wherein the characteristic parameter set comprises time domain characteristics extracted from the vibration parameters of each part of the civil aircraft, frequency domain characteristics extracted from the vibration parameters of each part of the civil aircraft, and flight parameters of which the correlation with the vibration parametersis greater than 0.6; wherein the time domain characteristics comprise the maximum value, the minimum value, the peak-to-peak value and the amplitude change rate of the vibration amplitude; wherein the frequency domain characteristics comprise frequency composition, frequency size and a change trend of the frequency along with time; and 2, establishing a civil aircraft test flight vibration faultprediction model by using the binary support vector machine model to obtain the binary support vector machine model so as to determine the early warning boundary of the test flight data, and taking the early warning boundary as the basis for judging the normal and abnormal single states of the data. The invention also discloses a civil aircraft test flight vibration fault prediction system.

The invention provides a method for evaluating lithium precipitation and uniformity of a large-size soft package lithium ion battery, which comprises the following steps of: performing a charging testand a discharging test on the lithium ion battery, and recording the capacity, the absolute voltage of the battery, a difference value between an auxiliary tab pair and a main tab and a voltage change condition; comparing the time when the voltage at different positions reaches the steady state with the dV/dT curve and the dV/dQ curve obtained by processing; and according to the dV/dT curve and the dV/dQ curve, judging the rate distribution of lithium ions embedded into graphite and the lithium precipitation amount. The operation method is simple, the battery is not damaged, the data is accurate and reliable, the real-time analysis of the lithium precipitation uniformity of the negative electrode in the lithium ion battery is realized, and key technical support can be provided for the soft package single battery, the module design and the estimation of the actual service life of the battery pack.

The invention provides a data analyzing method and system. The data analyzing method comprises the following steps: receiving data through a data receiving thread; after the data receiving thread receives the data, constructing a memory clustering index according to attribute information of the data and a preset index field; acquiring a linked data set of the data according to the memory clustering index by a calculating thread; and analyzing the data in the associated data set through an analyzing rule hung under the calculating thread to obtain an analyzed result. The data receiving thread and the calculating thread are simultaneously started when the system is started, after the data receiving thread receives the data, the calculating thread can analyze the data, the data are analyzed in real time, and therefore, analysis delay of the data is reduced.

The invention provides a camera blocking area detection method and device, equipment and a storage medium. The method comprises the steps of acquiring multiple frames of images shot by a camera, wherein each frame of image has the same blocking detection area; based on the image features of the differential images among the multiple frames of images, judging whether the image content of the blocking detection area changes in the multiple frames of images or not; if the image content of the blocking detection area does not change in the multiple frames of images, averaging the image pixel values corresponding to the blocking detection area in each frame of image, and obtaining a frame fusion image of the multiple frames of images about the blocking detection area; according to the image gradient information of the frame fusion image, judging whether the frame fusion image has image texture missing for the blocking detection area or not; and if the frame fusion image has image texture missing, determining that the camera forms blocking in the blocking detection area, thereby realizing real-time analysis of camera blocking detection, and being suitable for camera blocking detection ina driving scene.

The embodiment of the invention discloses a data analysis method based on the Internet of Things. The method comprises the steps that a data analysis request sent by Internet of Things equipment is acquired; wherein the data analysis request comprises demand information of the Internet of Things equipment and to-be-analyzed data; an algorithm resource corresponding to the demand information is determined in a preset resource library, the preset resource library comprising at least one algorithm resource, and the algorithm resource being used for representing at least one algorithm for realizing data analysis; an execution resource corresponding to the algorithm resource is created, wherein the execution resource is used for representing a reference mode of the algorithm resource; and the to-be-analyzed data is analyzed according to the execution resources and the algorithm resources. Therefore, the data analysis efficiency of the Internet of Things can be improved. The embodiment of the invention further discloses a terminal, a data analysis device based on the Internet of Things and a storage medium.

The invention discloses an online rapid detection method for the concentration of quinoline insoluble substances contained in asphalt. The method comprises the following steps: 1) establishing a standard curve of quinoline insoluble substances (QI) in asphalt; 2) extracting an asphalt sample on line in needle coke production process, and blending; and 3) measuring and detecting the sample obtainedin the step 2) by using a particle detector, and calculating the concentration of the quinoline insoluble in the material through the standard curve in the step 1). According to the detection methoddisclosed by the invention, the measurement can be quickly completed, the measurement time is shortened from 4 hours to less than 30 minutes, and meanwhile, the accuracy of a concentration measurementresult can be ensured.

The invention provides a coal mine data acquisition and analysis system, and belongs to the field of mine data acquisition and analysis. The coal mine data acquisition and analysis system comprises an explosion-proof shell, a battery, a data storage and analysis device and a camera connected with the data storage and analysis device; the data storage and analysis device is provided with a plurality of Ethernet interfaces, a plurality of reusable serial ports, a processor, a memory and an auxiliary memory; and the data storage and analysis device is equipped with data acquisition, storage and analysis software. The data storage and analysis device is connected with all kinds of controllers such as an underground belt control system PLC, an underground power supply system data communication management machine, an underground drainage system PLC and so on; industrial explosion-proof IPC cameras are installed in every place that needs to be monitored; and the data storage and analysis device acquires, stores and analyzes all kinds of underground information data and monitoring videos, and continuously grasps the actual running state of each production link, thereby preventing the loss of all kinds of data, improving the degree of automation, and providing guidance for inspection and maintenance of equipment.

The invention relates to an offshore wind power digital twin test pile test system and an establishment method, the offshore wind power digital twin test pile test system comprises a loading mechanism, a data acquisition mechanism, a calculation and analysis platform and a digital twin model, the data acquisition mechanism is connected with the loading mechanism, and the calculation and analysis platform is connected with a jack of the loading mechanism and the data acquisition mechanism to form an on-site test pile test system, the digital twinborn model is a numerical simulation model constructed based on an on-site pile test system, model parameters are updated in real time by adopting on-site pile test data, and the digital twinborn model is established and operated on a computational analysis platform. High-precision design of an offshore wind power pile foundation structure is facilitated, a method is provided for understanding a stress deformation mechanism of a large-diameter or super-large-diameter pile body under the complex load working condition, meanwhile, stress visualization of soil around the pile and real-time analysis of stress deformation of the pile body are achieved based on numerical simulation of a digital twinborn model, and an existing offshore wind power pile foundation design method can be evaluated, checked and corrected.

The invention provides a medical electrocardiogram intelligent analysis system and analysis method, and the system comprises a data collection end which sends collected information to a data storage end; the data storage end is connected with a user end, an analysis end and a medical care end; when the user end requests to obtain an analysis result, the data storage end sends the information to the analysis end, and the analysis end carries out the analysis of the information, and sends an analysis result to the user side. And when the user side requests to obtain a review result, the data side sends the information to the medical side, and the medical side sends the review result to the user side after diagnosis. Artificial intelligence is introduced into processing of a corresponding database of a patient, a corresponding analysis model and algorithm are constructed, various indexes and conditions of the patient in the database are comprehensively processed through different dimensions, an electrocardiogram analysis result is rapidly generated, and the accuracy of electrocardiogram analysis is improved. The system is convenient for first-aid personnel to take accurate and effective first-aid measures according to analysis results of electrocardiogram conditions in emergencies and emergencies lack of guidance of professional medical personnel.

The invention relates to an accessory of a numerically-controlled machine tool spindle, in particular to a built-in detection system for the heat generation rate of the numerically-controlled machinetool spindle. The built-in detection system for the heat generation rate of the numerically-controlled machine tool spindle comprises a heat flow acquisition module and a heat flow processing module,wherein the heat flow processing module is arranged on the outer surface of a spindle internal heat source and comprises a heat flow density sensor; the heat flow density sensor is used for detectingthe heat flow density of the spindle internal heat source; the heat flow acquisition module is connected with the heat flow processing module, and transmits the detected heat flow density data to theheat flow processing module in real time; the heat flow processing module comprises heat generation metering unit; and the heat generation metering unit calculates the heat generation rate of the spindle internal heat source in real time according to the detected heat flow density data and outputs a calculation result. According to the built-in detection system for the heat generation rate of thenumerically-controlled machine tool spindle provided by the invention, an operating state of the spindle internal heat source is analyzed in real time, heat source fault information is given, corresponding information can be acquired without the need for disassembling the spindle, the reduction of the accuracy caused by blind disassembling the spindle is avoided, and a basis is provided for the control on refrigerating capacity for cooling the spindle internal heat source and spindle heat characteristic analysis.

The invention provides a mobile application operation log data real-time analysis method, a server and a system. The method comprises the following steps: S1, storing operation log data of a mobile application on a mobile terminal according to different time windows; s2, according to a query request of a user, obtaining operation log data of at least one time window corresponding to the query request, and analyzing the operation log data to obtain an analysis result; and S3, taking the analysis result as a query result to be fed back to the user. According to the invention, the operation log data of the mobile application on the mobile terminal by the user is stored according to different time windows; the whole operation log data is divided into the multiple time windows, the operation log data of one or more time windows can be analyzed independently, real-time analysis of the operation log data can be achieved, the analysis efficiency of the operation log data is improved, and meanwhile the real-time performance of data analysis is met.

The invention discloses a method for transmitting sequencing data, which realizes rapid, efficient and reliable transmission of high-throughput sequencing data between a sequencer and a server by utilizing serialization and remote procedure call, and shortens the time required for completing the whole sequencing process. Comprising the following steps: sequencing a to-be-detected sample by using a sequencer to generate original sequencing data; serializing the generated original sequencing data in real time at a client, and transmitting the serialized original sequencing data to a server through remote procedure calling; and the server receives the calling of the remote procedure calling interface service provided by the client, deserializes the sequencing data and then stores the sequencing data.

The invention provides a method for evaluating the performance of a front axle in a loading state. The related detection equipment comprises a gantry bracket, a front axle assembly, a capacitive grating type dial indicator, a front axle fixing bracket, a steel ring, a toe-in measuring instrument, a rotating disc, a servo hydraulic cylinder and the like and is characterized in that the front shaft fixing support is connected with the gantry support and used for fixing a front shaft, and the front shaft is kept stable in the test process; the toe-in measuring instrument is composed of a stay wire sensor and a gradienter and used for accurately measuring the toe-in value of a front axle and outputting toe-in information in real time. The servo hydraulic cylinder can load the front axle according to test requirements and output loading information in real time. The capacitive dial indicator can measure and output the deformation of each key position of the front axle in real time, and the comprehensive performance of the front axle can be evaluated.