40results about How to "Improve analyzability" patented technology

The invention discloses a data integrated management system of an intelligentized power supply system, which comprises a peripheral data resource and an application service system, wherein the peripheral data resource comprises a regional power grid SCADA (Supervisory Control And Data Acquisition) system, an electric energy collection system, an automation system of a power distribution network, a marketing MIS (management information system), a power distribution network line loss system, a power distribution GIS (geographic information system), a power distribution network bar chart system and a peripheral data interface service end. The application service system comprises a system service end, a system data end, an application client and a printing terminal. The data integrated management system of the intelligentized power supply system, disclosed by the invention, has the advantages of fully utilizing the data resource of the power distribution system, providing good data support for drawing-up of a power supply plan and the like.

The invention provides a multi-telemetry parameter analysis window division method for a spacecraft. By analyzing the multi-telemetry parameter association cycle, the reference parameters are selected to obtain division features, and the accurate division on the time scale of the multi-parameter analysis window is realized. The present invention divides the analysis window by the reference division feature of the telemetry parameter, instead of using a fixed or sliding window for division, avoids the window offset caused by factors such as space environment or channel transmission, and realizes the accuracy of the analysis window of the telemetry parameter segmentation, which improves the accuracy of subsequent feature extraction and diagnostic detection. The invention synchronously divides a plurality of telemetry parameters through the reference parameters, realizes the window alignment on the time scale, enhances the analyzability of the telemetry data, and is more conducive to analyzing and mining the association relationship among multiple parameters.

The invention discloses a lightweight webpage performance testing architecture and method, and relates to webpage performance testing technologies. The webpage performance testing architecture comprises a database deployment node, a web deployment server, an independent control node and a plurality of virtual client side nodes. The method includes the steps that the application scenario of concurrent access of a large number of users is simulated by concurrently generating a large number of virtual client side nodes; high-load generation is carried out on the web deployment server through the independent control node, and the virtual client side nodes get highly concurrent access to the web deployment server; a test case is arranged on the independent control node, and the mode and parameters of access to pages of the web deployment server by the virtual client side nodes are recorded through the test case. The disturbance of a testing environment is reduced to the minimum, the coupling degree of webpage programs is reduced, and the authenticity and analyzability of test results are improved.

The invention provides a method for dividing multiple remote sensing parameter analyzing windows of a spacecraft. Through analyzing a multiple-remote-sensing-parameter association period and selecting a reference parameter acquisition dividing characteristic, accurate dividing for multiple parameter analyzing windows in a manner of alignment in a time scale is realized. According to the method of the invention, analyzing window dividing is performed through a remote sensing parameter reference dividing characteristic instead of a fixed or a slidable window, thereby preventing window drift caused by factors such as space environment and channel transmission, realizing accurate dividing of the remote sensing parameter analyzing windows and improving accuracy of subsequent characteristic extraction and diagnosis detection. According to the method of the invention, synchronous dividing is performed on a plurality of remote sensing parameters through the reference parameter; window alignment in the time scale is realized; analyzability of the remote sensing data is improved; and analyzing and digging of an association relation between multiple parameters are facilitated.

The invention relates to an Internet of Things multi-dimensional sensing optimization method and system based on data alignment. Data of different sources collected on equipment is accumulated and stored, so that a relative relationship between clocks of different data sources and an optimal possible matching alignment mode of the multi-sensor data are determined, and alignment processing is performed on the data sampled at the same time to obtain a complete data packet, thereby realizing time multi-dimensional sensing optimization of different sensor data on the same device. On the basis of an improved Needleman-Wunsch algorithm, information on a time structure is introduced, and data alignment can be realized in an Internet of Things big data system, so that Internet of Things data on different latitudes can be uniformly processed on time latitudes, and a basis is provided for subsequent fault prediction and predictable maintenance.

A great device (10) processes and visualizes electrical impedance tomography (EIT) data (3) of at least one region of the lungs for determining and visualizing regional properties of the lungs of a living being. The EIT data (3) are obtained from an electrical impedance tomography apparatus (30). The device makes it possible to visualize regional properties of the lungs or of regions of the lungs in terms of hyperdistension or collapse.

The invention relates to an aviation big data intelligent analysis system based on remote embedded data collection. Aviation big data is utilized to analyze and monitor the health condition of an aircraft and carry out fault diagnosis. Through the system, on the one hand, integration of multiple monitoring means, such as onboard videos and audio, an alarm system and a flight parameter system, is realized, and the system can record and store more flight data; and on the other hand, aviation big data application software is embedded into an airborne computer system to realize real-time monitoring of the aircraft, meanwhile, the application software is continuously upgraded according to the latest research achievement, and the data stored in the system can be subjected to trend analysis in combination with historical data on the ground and also can be utilized again in teaching and scientific research work.

A split-screen spectroscopic imaging apparatus including a fiber optic plate having a light receiving end face on which the photogenic subject is primarily focused by an objective lens and a light emitting end face to which the primarily focused image is transmitted. Total reflection mirrors optically separate the optical path of the image from the light emitting end face into a plurality of optical paths. Coherent filters optically separate the images of the optical paths separated by the total reflection mirrors into images of a plurality of wavelength bands. A two-slop reflection rectangular prism synthesizes the images separated by the coherent filters into a single image by arranging them in a predetermined direction. A reducing optical system optically reduces the magnification of the image from the two-slop reflection rectangular prism. And, a CCD imaging element images the images from the reducing optical system substantially simultaneously by a single imaging face.

The invention relates to a hydrological multi-index comprehensive measuring device, comprising a flow rate, water temperature and water level comprehensive measuring device, an analytical control system, a switch control device and a power supply; the hydrological multi-index comprehensive measuring device also comprises a flow rate control water suction pump system, diversion systems, a multi-layer filtration system, a chemical analysis pool, a physical analysis pool and a microbial analysis pool, wherein the diversion systems are respectively arranged on the surface of water body, in the middle of the water body, at the bottom of the water body and in the sediment at the bottom of the water, and are separately connected with the flow rate control water suction pump system; the diversionsystem on the surface of the water body is connected with an organic substance measuring device in the chemical analysis pool; the diversion system in the middle of the water body is connected with aheavy metal measuring device and the microbial analysis pool; the diversion system at the bottom of the water body is connected with the physical analysis pool, the heavy metal measuring device and the microbial analysis pool; the diversion in the sediment at the bottom of the water is connected with the physical analysis pool and the heavy metal measuring device. The hydrological multi-index comprehensive measuring device can measure the contents and types of pollutants in all the areas of the water body visually, accurately and continuously.

The invention relates to a rotating machine fault diagnosis technology, in particular to a rotating machine abnormal vibration source identification method based on VT-ANM-SWT. The method comprises the steps of: obtaining vibration excitation source mixed signals of the surface of a rotating machine through a vibration acceleration sensor; performing independent component analysis on the vibration signals by using an optimized self-adaptive negentropy maximization blind source separation algorithm, and setting the number of results needing to be output by the algorithm according to the pre-estimated number of main vibration sources; and carrying out time-frequency analysis on each separated independent signal by using the SWT steady-state wavelet transform technology. Based on priori knowledge of a rotating machine, the method can effectively identify the vibration sources of the rotating machine, and can also effectively identify the abnormal vibration sources in abnormal operation. The method successfully solves the problem of abnormal vibration sources of a rotating machine, and provides a set of system for analysis of the problems in the future.