Data demagnification and load display method, device and system
A data and data header technology, applied in the field of massive data processing, can solve problems such as inability to access on demand, occupying servers, and inefficient data analysis.
Active Publication Date: 2012-06-06
BEIJING RAINFE TECH
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Problems solved by technology
For the test projects, the most obvious features of data collection in most tests are short collection time, large amount of collected data, and a large amount of storage media space occupied. These characteristics eventually lead to problems in the loading and display efficiency of massive data.
[0003] Judging from the current status of the test industry, most of the test units use self-developed or purchased systems. Due to technical limitations, these systems use full data loading and full data segment addressing according to user operations. Display operation will cause many problems such as slow loading process and long memory usage on the server or local machine. Even if loading in batches is adopted, it cannot meet the needs of high-efficiency loading of massive data, resulting in only data playback. It takes a lot of time to analyze the action, making the data analysis efficiency low, and it is impossible to obtain it on demand from the mechanism
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[0035] The specific embodiment of the present invention is described in detail below in conjunction with accompanying drawing:
[0036] refer to Figure 1a , the method flowchart of the data miniaturization method of the present invention, comprises the following steps:
[0037] In step 101, obtain level 0 data layer (LOD, Level of Data) data. Assume that the data file source.dat (where source.dat is the name of the data file) collected by the test system contains 10 million floating-point values, and the sampling rate of the test system is 10,000 floating-point values / second. In this way, collecting 1000 10 million floating-point values can be collected in seconds. Since the test system is uniformly sampled, the sampling time range for 10 million floating-point values is from 0 seconds to 1000 seconds. Create a new data file dst.dat (where dst.dat is the name of the data file), and write the 10 million floating-point values in the data file source.dat into the data fil...
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The invention discloses a data demagnification and load display method, a device and a system. The method comprises the following steps: taking out the contents of raw data as the zeroth-level LOD data, equally dividing the zeroth-level LOD data into a plurality of data segments, extracting the characteristic value of each data segment, and repeating the step until the contents of the LOD data ina certain level does not exceed the preset threshold value; generating multilevel LOD data, and generating data head information thereof; and in the process of load display, reading the data head information of the multilevel LOD data, selecting the level of the LOD data according to user requirements and the display capacity of a screen display window, reading the data contents from the selectedLOD data to an internal storage in a preloading mode, and displaying the contents required by a user requirement according to the display capacity of the screen display window. Thus, the invention can take data on demand and adopts the preloading mode, thereby saving the time for data load display and enhancing the efficiency for data load display.
Description
technical field [0001] The invention relates to the processing technology of massive data, in particular to a method, device and system for miniaturization, loading and displaying of data for massive test application data. Background technique [0002] In recent years, with the continuous surge in the business volume of experimental projects in various industries, a large number of data collected in real time during the test need to be stored and played back in the later test data analysis process. Playback, analysis and interpretation It will inevitably involve data loading and graphical display. For the test projects, the most obvious features of data collection in most tests are short collection time, large amount of collected data, and a large amount of storage media space occupied. These characteristics eventually lead to problems in the loading and display efficiency of massive data. . [0003] Judging from the current status of the test industry, most of the test un...
Claims
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IPC IPC(8): G06F17/30G06F3/048
Inventor 王可王隆义姚问新孟钢
Owner BEIJING RAINFE TECH