Mining method for association rules in time series data flows

A time-series, rule-based technology, applied in instrumentation, adaptive control, control/regulation systems, etc., to achieve the effect of reducing the impact

Active Publication Date: 2014-03-26
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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  • Application Information

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Problems solved by technology

[0009] In order to solve the technical problem of lack of effective association rule mining for boiler state data in the field of coal-fired boiler control in the prior art, the present invention provides a boiler control method an

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  • Mining method for association rules in time series data flows
  • Mining method for association rules in time series data flows
  • Mining method for association rules in time series data flows

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Embodiment Construction

[0029] The embodiment provided by the present invention is applied to the control of coal-fired boilers in thermal power plants, mining the coal calorific value association rules, and can find the relevant attributes and attribute characteristics related to the calorific value.

[0030] Combine below figure 1 with figure 2 Specific embodiments of the present invention are described in detail. Embodiments of the present invention include the following steps:

[0031] 1. Data collection

[0032] The multiple sensors that monitor the status of the boiler are connected to the computer so that the data they generate can be entered into the computer at any time. In order to obtain more objective data, a very short sampling period is set, that is, data points are collected at very short fixed time intervals.

[0033] 2. Preprocessing the data

[0034] Most of the collected raw data are floating-point data, but floating-point data is not suitable for mining frequent itemsets. S...

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Abstract

The invention discloses a boiler control method and device based on association rule mining. The method includes the steps that state data of a boiler are collected; preprocessing is performed on the data, piecewise linearization approximation is performed on the data, the data are converted into vectors in a two-dimensional space and then subjected to time series fitting, clustering is performed on all time series, and then time series flows are converted into transaction flows; a global SWFI-tree and a local SWFI-tree are established, information of the local SWFI-tree is added to the global SWFI-tree, and the global SWFI-tree is pruned; frequent item sets are generated according to an FP-growth algorithm; by the utilization of preset confidence coefficients, the association rules are generated through the frequent item sets; the association rules are used for predicating change states and trends of all parameters of the boiler after appointed time; according to predication results, the parameters are modified in advance, and the boiler is controlled to operate. Uniform mining is performed on the state data of the boiler, and the mined association rules are used for modifying the parameters of the boiler, so that the purpose of intelligently controlling the boiler to operate is achieved.

Description

technical field [0001] The invention relates to the technical field of industrial control, in particular to a boiler control method and device based on association rule mining. Background technique [0002] In the field of coal-fired boiler control, using the association rules of data flow to adjust parameters to control equipment can effectively improve production efficiency. Existing techniques for mining association rules of time series data streams can generally be divided into two steps: first, frequent pattern mining is performed, and then association rules that meet the requirements are generated according to the frequent patterns. Mining frequent patterns in time series data streams, most of them are counted based on the Apriori algorithm, traversing the database multiple times, some have been improved for the Apriori technology, the most classic is the FP-growth technology, which can traverse the database in a limited number of times Then get frequent itemsets. Af...

Claims

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Application Information

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IPC IPC(8): G05B13/00
Inventor 朱亚清罗嘉陈世和陈华忠张春慨张曦叶向前史玲玲吴乐刘哲
Owner ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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