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Dynamic distributed processing method for equipment operating condition data

A technology of distributed processing and working condition data, applied in transmission systems, electrical components, etc., can solve the problems of computer performance deviation, important data not being prioritized, and unreasonable data distribution methods, so as to ensure normal operation, Energy saving effect

Inactive Publication Date: 2018-09-07
CHONGQING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In industrial application scenarios (especially in the monitoring and monitoring of equipment operating conditions), distributed processing has not been popularized. The reason is that the important data of equipment operation cannot be processed first, and the method of distributing data is unreasonable, which leads to computer performance. Serious offset and other issues

Method used

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  • Dynamic distributed processing method for equipment operating condition data
  • Dynamic distributed processing method for equipment operating condition data
  • Dynamic distributed processing method for equipment operating condition data

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Embodiment

[0044] Example: such as figure 1 Shown; A kind of dynamic distributed processing method of operating condition data of equipment, it comprises: method specific steps are as follows:

[0045] S1: Collect the operating condition data of the equipment and store it in the cache, and number the cached data with priority; the collected equipment operating condition data is M, and it is divided into the highest priority M according to the different parts from it 1 , general priority M 2 , low priority M 3 .

[0046] S11: assign different priorities to data from different parts of the device;

[0047] S12: The priority level of the data in the core part is set as the first level, and it is the highest level; the priority level of the data in the sub-core part is set as the second level, and it is used as the general level; the priority level of the rest of the data is set as the third level level, and as the lowest level.

[0048] S2: According to the computing power of each sub-...

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Abstract

The invention discloses a dynamic distributed processing method for equipment operating condition data, comprising the following steps of: inputting and buffering condition data, and assigning priority to the condition data; calculating the weight of the computing power of a sub-computer; calculating the bandwidth weight of the sub-computer; obtaining the performance value of the sub-computer; allocating data according to the ratio of the performance value of the sub-computer and the data priority by a host computer; allocating a small amount of data that does not contain the high priority tothe low performance value sub-computer for processing, finally summarizing and outputting all the data by the host computer. The invention has the beneficial effects of realizing rapid processing of data, enabling priority processing of high priority data so that emergency situations can be solved in time, ensuring normal operation of the device and dynamically adjusting the processing mode according to the number of sub-computers and the amount of data to be processed so as to take full advantage of the performance of the distributed system.

Description

technical field [0001] The invention relates to the technical field of data distributed processing, in particular to a dynamic distributed processing method of equipment operating condition data. Background technique [0002] In the integrated computer software and hardware system, the mainstream data processing methods are divided into two types: centralized and distributed. Among them, centralized processing occupies an absolute position in small-scale scenarios and small and medium-scale applications. This method requires high performance of computers, and with the increase of data size, the amount of calculation and processing will increase geometrically. At present, the performance of microcomputer is developing rapidly and its use is becoming more and more popular. It is of practical significance to use distributed processing to disperse a large amount of data to each subcomputer for processing. [0003] In distributed processing, data needs to be distributed to each ...

Claims

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Application Information

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IPC IPC(8): H04L29/08
CPCH04L67/10H04L67/1008H04L67/101H04L67/61
Inventor 张可柴毅朱博朱燕黄若山
Owner CHONGQING UNIV
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