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Uncertainty included underground radio-frequency recognition reader high-dimensional multi-target optimization arrangement

A multi-objective optimization and radio frequency identification technology, applied in the field of the Internet of Things, can solve problems such as no consideration of uncertainty, few performance indicators, etc.

Inactive Publication Date: 2015-06-10
CHINA UNIV OF MINING & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the performance indicators considered in the above research results are still few, and the uncertainty in the target is not considered, such as economy and anti-interference, etc. are often not a definite number, but change within a certain range

Method used

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  • Uncertainty included underground radio-frequency recognition reader high-dimensional multi-target optimization arrangement
  • Uncertainty included underground radio-frequency recognition reader high-dimensional multi-target optimization arrangement
  • Uncertainty included underground radio-frequency recognition reader high-dimensional multi-target optimization arrangement

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Embodiment Construction

[0087] This section combines specific Attached picture , the embodiment of the present invention will be described in detail. The present invention utilizes the solution concrete steps of proposed method MOEA / D algorithm to be:

[0088] 2.1 Parameter setting

[0089] Before using MOEA / D in the present invention to optimize the layout of radio frequency identification readers, it is also necessary to set some parameters of the algorithm. The parameters that need to be set include the initial population size popsize, the cycle algebra gen, the range of decision variables, constraints, etc.

[0090] The present invention has been provided with parameter respectively and model is optimized respectively: pop=100, in this step, also be set to the constraint condition parameter of underground roadway:

[0091] x 1 =80,x 2 =90,x 3 =150,x 4 =160,X=200

[0092] the y 1 =10,y 2 =50,y 3 =60,y 4 =80,Y=100

[0093]In addition, in this paper, other parameters of MOEA / D are set ...

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Abstract

The invention discloses an uncertainty included underground radio-frequency recognition reader high-dimensional multi-target optimization arrangement to guide users to find satisfied Radio Frequency Identify (RFID) reader arrangements and reduce the user workload. The arrangement comprises specific contents of (1) building a coal mine underground RFID reader arrangement mathematical model and giving underground roadway distribution models, constraint conditions, target functions and decision variables; (2) on the basis of user input data, giving initialization information, that is, setting multi-target evolution optimization algorithm parameter values; (3) performing decomposition based multi-target evolution operation based on the MOEA / D algorithm multi-target evolution process, that is, according to multi-target optimization of MOEA / D towards the target functions to generate evolution populations meeting user requirements.

Description

technical field [0001] This patent belongs to the field of the Internet of Things, and in particular relates to the layout of radio frequency identification readers for coal mine safety. Aiming at the characteristics of underground coal mines, on the basis of considering multiple performance indicators such as identification accuracy, identification ability, and anti-interference ability, and further combining uncertain factors such as identification range and cost, an uncertain radio frequency identification reading system for coal mines is constructed. The reader layout model is further given a layout method based on high-dimensional multi-objective uncertain evolutionary optimization, which directly provides multiple cost-effective layout schemes for decision makers, and realizes the optimal layout of radio frequency identification readers in the complex environment of coal mines. Background technique [0002] With the continuous improvement of the modernization of mine p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06F17/50
Inventor 孙晓燕张鹏飞时良振巩敦卫陈杨朱利霞
Owner CHINA UNIV OF MINING & TECH
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