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Pedestrian flow statistics method at the entrance of complex equipment coal mine system

A technology for entrance and people flow, applied in the direction of single input/output register, calculation, data processing applications, etc., can solve problems such as errors and omissions, and achieve the effect of ensuring accuracy and ensuring the number of people is consistent

Inactive Publication Date: 2019-01-04
SHANDONG IND TECH RES INST OF ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing coal mine system, especially the smaller coal mine system, usually counts the number of people manually, which is very likely to cause errors and omissions. The economic conditions of large coal mines are relatively good, and correspondingly some automated equipment will be adopted to more accurately Counting the number of people, but there are still some hidden dangers without proper steps for the counted number of people

Method used

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Examples

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Embodiment Construction

[0015] The technical solution of the present invention will be described in further detail below in the form of examples. It should be pointed out that the examples are only specific illustrations of the present invention, not limitations of the present invention.

[0016] In order to maintain the management order of the coal mine system, accurately count the flow of people at the entrance of the coal mine system, and ensure that the number of people entering and leaving the coal mine system is consistent, the present invention provides a method for counting the flow of people at the entrance of the coal mine system with complex equipment, including the following steps:

[0017] (1) Equip the first electromagnetic device at the entrance of the coal mine system, and equip each person who is going to enter the coal mine with a second electromagnetic device matching the first electromagnetic device. When both the first electromagnetic device and the second electromagnetic device ar...

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Abstract

The invention provides a pedestrian flow statistics method at the entrance of a complex equipment coal mine system, which comprises the following steps of: arranging a monitoring point to carry out the population statistics; conducting checks; face recognition statistics; conducting checks; judging whether the results are consistent; performing personal identification; the consistent results beingused as statistical results. The pedestrian flow statistics of the invention adopts the steps of secondary statistics and secondary verification to ensure the accuracy of the number of people statistics, thereby ensuring the consistency of the number of people going down the well and the number of people going up the well, and effectively preventing the accidents caused by the personnel left in the well.

Description

technical field [0001] The invention relates to the field of coal mine system safety. Background technique [0002] The safety of the coal mine system is no small matter. The most important and basic thing for the safety of the coal mine system is to ensure the safety of the personnel entering the coal mine system. The first hurdle to ensure safety is to ensure that the number of people entering the system is the same as the number of people coming out , none of them can be bad, in case of people left behind, it may lead to major safety accidents, therefore, it is very important to count the flow of people in all aspects of the coal mine system. [0003] The existing coal mine system, especially the smaller coal mine system, usually counts the number of people manually, which is very likely to cause errors and omissions. The economic conditions of large coal mines are relatively good, and correspondingly some automated equipment will be adopted to more accurately Counting t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06M1/10G07C9/00G06Q50/02
CPCG06M1/102G06Q50/02G07C9/00
Inventor 刘奇虎刘玉生李春光
Owner SHANDONG IND TECH RES INST OF ZHEJIANG UNIV