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Dangerous area equipment data compression method and system based on big data analysis

A dangerous area and equipment data technology, applied in the field of big data and data storage, can solve the problems of not considering whether the data has useful feature information, not considering the interdependence of different data correlations, and being unable to recover

Active Publication Date: 2021-09-17
NANTONG BECA MACHINERY TECH
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these data compression storage methods only compress a single data, on the one hand, they do not consider whether there is useful feature information in the data itself, on the other hand, they do not consider the correlation between different data or the mutual relationship between different data. Dependency, resulting in the loss of too much characteristic information after data compression, which cannot be recovered, which is not conducive to subsequent operations such as big data analysis or data visualization

Method used

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  • Dangerous area equipment data compression method and system based on big data analysis
  • Dangerous area equipment data compression method and system based on big data analysis
  • Dangerous area equipment data compression method and system based on big data analysis

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specific Embodiment 1

[0029] This embodiment provides a data compression method for hazardous area equipment based on big data analysis.

[0030] The specific scenario targeted by the present invention is: compressing the historical state data of equipment stored in the database for a certain period of time. The state data is all state data generated by a single device, including state data such as the reaction temperature of the chemical reaction chamber, the reaction rate, the consumption rate of the reactant; the time period T length of the present embodiment is 24 hours, that is, for any state, The length of the state timing sequence is 24 hours, and the time interval of the timing sequence is 1 minute.

[0031] see figure 1 , which shows a flowchart of a data compression method for hazardous area equipment based on big data analysis provided by an embodiment of the present invention. Data compression methods for equipment in hazardous areas based on big data analysis include:

[0032] Selec...

specific Embodiment 2

[0076] This embodiment provides a data compression system for hazardous area equipment based on big data analysis.

[0077] The specific scenario targeted by the present invention is: compressing the historical state data of equipment stored in the database for a certain period of time. This state data is all state data that single equipment produces, comprises state data such as the reaction temperature of chemical reaction chamber, reaction rate, the consumption rate of reactant; The length of the state time series is 24 hours, and the time interval of the time series is 1 minute.

[0078] The data compression system for hazardous area equipment based on big data analysis includes: a memory, a processor, and a computer program stored on the memory and operable on the processor. When the computer program is executed by the processor, the dangerous area based on big data analysis is realized. Device data compression method.

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Abstract

The invention discloses a dangerous area equipment data compression method and system based on big data analysis. The method comprises the following steps: processing a time sequence in a dangerous area equipment state set to obtain an association sequence; obtaining a prediction sequence of the correlation sequence according to the historical state data, and calculating a prediction error sequence; obtaining the correlation compression degree of each sequence in the state set according to the feature distribution density of the sequential sequence in the state set, the length of the feature fragment and the prediction error sequence; and obtaining an optimal compression scheme according to the correlation compression degrees of the compression sequences corresponding to different state sets. Compared with the prior art, the method and system has the advantages that the association compression degree of different state data is considered, the optimal compression scheme of different state sets is obtained, meanwhile, the compressed data can be accurately used for recovering the data before the time sequence is compressed, and the method is of great significance to the accuracy of subsequent big data analysis or data visualization.

Description

technical field [0001] The invention relates to the technical field of big data and data storage, in particular to a method and system for storing production data in dangerous areas for big data analysis. Background technique [0002] Chemical enterprises generally include various chemical reaction chambers, storage equipment, high-pressure high-temperature devices and other production equipment. In the production process, it is necessary to record various status data of each device in real time, such as the reaction temperature, reaction rate, and consumption rate of the reactant obtained by the sensor, the internal pressure, temperature, and mechanical vibration amplitude of the storage device, etc. status data. The various status data of each device can reflect the real-time status of the device, which can not only be used to analyze the production rate, product output, cost consumption and other characteristics of the enterprise, but also reflect whether the production ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N7/00H03M7/30
CPCG06Q10/04H03M7/30G06N7/01
Inventor 徐海峰
Owner NANTONG BECA MACHINERY TECH
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