CN115375151B - Safety scheduling method for operators in underground construction - Google Patents

Safety scheduling method for operators in underground construction Download PDF

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CN115375151B
CN115375151B CN202211029713.1A CN202211029713A CN115375151B CN 115375151 B CN115375151 B CN 115375151B CN 202211029713 A CN202211029713 A CN 202211029713A CN 115375151 B CN115375151 B CN 115375151B
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产新国
任祥红
刘春�
陈祖明
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Abstract

The invention discloses an operator safety scheduling method for underground construction, which belongs to the technical field of mine construction safety, and comprises the steps of establishing an underground monitoring model, monitoring an underground operation environment in real time through the underground monitoring model, and obtaining a monitoring result; the corresponding display nodes are used as base points to mark dangerous areas in the underground monitoring model, and corresponding safety alarm information is generated; positioning the current position of the underground construction operator, and marking in a monitoring model; planning a safe scheduling route, and guiding a corresponding construction worker to reach a corresponding position according to the obtained safe scheduling route; by carrying out dynamic monitoring under the mine, certain reaction time is reserved for safety precaution, the corresponding dispatching route is rapidly analyzed when dangerous situations occur, and the corresponding dispatching route is sent to corresponding operators, so that when the dangerous situations occur and signals are interrupted, the corresponding operators can still evacuate to safer places according to the corresponding dispatching route to wait for rescue.

Description

Safety scheduling method for operators in underground construction
Technical Field
The invention belongs to the technical field of mine construction safety, and particularly relates to a safety scheduling method for operators in underground construction.
Background
In underground operation of coal mine, coal mine dust and gas explosion accidents occur, so that huge personnel and property losses are often caused, and life safety of underground operation workers is greatly threatened. At present, a special danger avoiding escape safety channel does not exist underground, and when a dangerous situation occurs, operators under construction cannot reasonably and quickly escape, so that based on the problems, the invention provides a safety scheduling method for the operators under construction.
Disclosure of Invention
In order to solve the problems of the scheme, the invention provides a safe scheduling method for operators in underground construction.
The aim of the invention can be achieved by the following technical scheme:
the method for safely scheduling the operators in the underground construction comprises the following steps of:
step one: establishing an underground monitoring model, monitoring an underground operation environment in real time through the underground monitoring model, and obtaining a monitoring result;
step two: the corresponding display nodes are used as base points to mark dangerous areas in the underground monitoring model, and corresponding safety alarm information is generated;
step three: positioning the current position of the underground construction operator, and marking in a monitoring model;
step four: planning a safe scheduling route, and guiding a corresponding construction worker to reach a corresponding position according to the obtained safe scheduling route.
Further, the method for establishing the downhole monitoring model comprises the following steps:
acquiring an underground information graph, establishing an underground model according to the acquired underground information graph, establishing a data monitoring project table, setting display nodes at corresponding positions in the underground model according to the data monitoring project table, and marking the current underground model as the underground monitoring model.
Further, the method for monitoring the downhole operation environment in real time through the downhole monitoring model comprises the following steps of;
the method comprises the steps of receiving an underground monitoring system, acquiring various monitoring data in real time, processing the acquired monitoring data to acquire node display data, transmitting the acquired node display data to a corresponding display node, displaying the received node display data by the display node, and carrying out real-time check on the displayed data by the data check algorithm by the display node, wherein a data check algorithm is arranged in the display node to acquire a monitoring result; monitoring results including monitoring for normal and detecting for anomalies; and when the monitoring result is that the detection is normal, the operation is not performed, and when the monitoring result is that the monitoring is abnormal, the step two is entered.
Further, the method for processing the obtained monitoring data comprises the following steps:
setting monitoring items of each kind of monitoring data, carrying out corresponding data identification and extraction according to the set monitoring items to form monitoring item data, obtaining display data items of each display node, carrying out corresponding combination according to the corresponding monitoring items matched with the display data items to form combination items, combining the corresponding monitoring item data according to the combination items to obtain combination item data, and marking the combination item data as node display data.
Further, the data checking algorithm is as follows:
acquiring display data items of corresponding display nodes, setting corresponding data conversion models, and converting display data item data of corresponding non-numerical values into corresponding numerical values through the data conversion models; identifying each display data item data of the corresponding display node, and marking the display data item as i, wherein i=1, 2, … …, n is a positive integer; marking the corresponding display data items as Pi, obtaining the corresponding standard limit value of each display data item, marking as BZi, setting the weight coefficient of each display data item, and marking as βi; setting the adjustment coefficient of each display data item, marking as alpha i, and checking the algorithm as
Figure BDA0003815658560000021
When Q is greater than the threshold X1, monitoring for anomalies, otherwise, monitoring for normals.
Further, the method for marking the dangerous area in the underground monitoring model by taking the corresponding display node as the base point comprises the following steps:
and (3) acquiring each display data item data Pi and corresponding Q, integrating and marking the acquired Pi, Q and corresponding display node labels as analysis data, establishing a region model, inputting the analysis data into the region model for analysis, acquiring a corresponding dangerous region range, and carrying out corresponding marking in the monitoring model.
Further, the method for planning the safe scheduling route comprises the following steps:
establishing a space coordinate system in the monitoring model, marking coordinate areas of all underground channels, identifying coordinate positions of all construction operators in the monitoring model, acquiring scheduling routes of the corresponding construction operators according to the identified coordinate positions, prioritizing the scheduling routes, and selecting a scheduling route with a first ranking as a safe scheduling route.
Further, the method for prioritizing the scheduling course includes:
marking a scheduling route as j, wherein j=1, 2, … …, m is a positive integer; estimating the scheduling time of the corresponding construction worker on each scheduling route, marking as SDj, identifying the dangerous area range, setting a dangerous influence value according to the position relation between the scheduling route and the dangerous area range, marking as WZj, and according to a priority value formula
Figure BDA0003815658560000031
Calculating a priority value, wherein b1 and b2 are both proportional coefficients, and the value range is 0<b1≤1,0<b2 is less than or equal to 1; and sorting according to the calculated priority value.
Compared with the prior art, the invention has the beneficial effects that:
by carrying out dynamic monitoring under the mine, safety judgment is carried out not only by referring to single monitoring data, a certain reaction time is reserved for safety early warning, a corresponding dispatching route is rapidly analyzed when dangerous situations occur, and the corresponding dispatching route is sent to corresponding operators, so that when the dangerous situations occur and signals are interrupted, the corresponding operators can still evacuate to safer places to wait for rescue according to the corresponding dispatching route, and rescue workers can rescue in a targeted manner.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the method for safely scheduling operators in underground construction specifically includes:
step one: establishing an underground monitoring model, monitoring an underground operation environment in real time through the underground monitoring model, and obtaining a monitoring result;
the method for establishing the underground monitoring model comprises the following steps:
acquiring an underground information graph, such as a channel graph, a monitoring point position graph and other existing drawings related to underground information, establishing an underground model according to the acquired underground information graph, establishing a data monitoring item table, wherein the data monitoring item is an item needing to be monitored, setting the monitoring item through a corresponding underground monitoring system, wherein the underground monitoring system is an existing coal mine underground monitoring system and is used for monitoring various information such as humidity, temperature, monitoring gas concentration and the like, setting display nodes at corresponding positions in the underground model according to the data monitoring item table, and marking the current underground model as an underground monitoring model.
The underground model is a three-dimensional data model established by utilizing the existing three-dimensional modeling technology, and comprises information which corresponds to information which can be used in the invention in each information drawing, such as the positions of various monitoring points, the corresponding monitoring types and the like.
And setting display nodes at corresponding positions in the underground model according to the data monitoring project table, namely setting corresponding display nodes according to projects to be monitored and corresponding monitoring point positions in the underground model, wherein the display nodes are used for displaying received data and marking corresponding monitoring point labels so as to facilitate corresponding transmission of the data.
The method for monitoring the underground operation environment in real time through the underground monitoring model comprises the following steps of;
the method comprises the steps of receiving an underground monitoring system, acquiring various monitoring data in real time, processing the acquired monitoring data to acquire node display data, transmitting the acquired node display data to a corresponding display node, displaying the received node display data by the display node, and carrying out real-time check on the displayed data by the data check algorithm by the display node, wherein a data check algorithm is arranged in the display node to acquire a monitoring result; monitoring results including monitoring for normal and detecting for anomalies; and when the monitoring result is that the detection is normal, the operation is not performed, and when the monitoring result is that the monitoring is abnormal, the step two is entered.
The method for processing the obtained monitoring data comprises the following steps:
setting monitoring items of various types of monitoring data, such as monitoring items of temperature, humidity, concentration and the like, directly setting, carrying out corresponding data identification and extraction according to the set monitoring items to form monitoring item data, and realizing corresponding data extraction through the existing data identification technology, so that detailed description is omitted; and acquiring display data items of each display node, carrying out corresponding combination according to the display data items and the corresponding monitoring items to form a combination item, combining the corresponding monitoring item data according to the combination item to obtain combination item data, and marking the combination item data as node display data.
And the combined item is a monitoring item combination corresponding to the combination of the display data items to be displayed by the corresponding display node.
The data checking algorithm is as follows:
acquiring display data items of corresponding display nodes, setting corresponding data conversion models, and converting display data item data of corresponding non-numerical values into corresponding numerical values through the data conversion models; identifying each display data item data of the corresponding display node, and marking the display data item as i, wherein i=1, 2, … …, n is a positive integer; marking the corresponding display data item data as Pi, and acquiringThe standard limit value corresponding to each display data item is marked as BZi, the weight coefficient of each display data item is set, and the standard limit value is marked as beta i; setting the adjustment coefficient of each display data item, marking as alpha i, and checking the algorithm as
Figure BDA0003815658560000061
The expert group sets a threshold value X1, and when Q is larger than the threshold value X1, abnormality is monitored, and otherwise, normal is monitored.
The data conversion model is used for converting corresponding non-numerical monitoring data into numerical values, is used for subsequent checking and calculation, identifies display data items which need to be subjected to numerical conversion, sets corresponding conversion numerical values according to possible data of the display data items, and is used for compiling a corresponding conversion numerical value table by an expert group and carrying out corresponding numerical conversion according to the conversion numerical value table.
The standard limit value is a range value which can not be exceeded by the corresponding safety requirement.
The method for setting the weight coefficient of each display data item is that an expert group adopts a method of experiment by experiment to set the weight, such as 10%, 20%, 30%, 40% and the like, to perform experiment by experiment one, and obtain corresponding proper weight.
The adjustment coefficients are set according to the difference value between the display data item data and the standard limit value, a corresponding adjustment coefficient matching table is established by an expert group according to the possible difference value, and corresponding adjustment coefficients are obtained after corresponding matching, so that safety alarm information is generated when the display data item data exceeds the standard limit value, and statistical setting is carried out according to corresponding historical monitoring data.
Step two: the corresponding display nodes are used as base points to mark dangerous areas in the underground monitoring model, and corresponding safety alarm information is generated;
the method for marking the dangerous area in the underground monitoring model by taking the corresponding display node as the base point comprises the following steps:
and (3) acquiring each display data item data Pi and corresponding Q, integrating and marking the acquired Pi, Q and corresponding display node labels as analysis data, establishing a region model, inputting the analysis data into the region model for analysis, acquiring a corresponding dangerous region range, and carrying out corresponding marking in the monitoring model.
The region model is built based on a CNN network or a DNN network, and a corresponding training set is set manually to perform training, and the specific building and training process is common knowledge in the art, so that detailed description is omitted.
Step three: positioning the current position of the underground construction operator, and marking in a monitoring model;
step four: planning a safe scheduling route, sending the safe scheduling route to corresponding operators, and guiding the corresponding construction operators to reach corresponding positions according to the obtained safe scheduling route. The corresponding position is not necessarily separated from the underground, and when some dangerous situations occur, the operator cannot separate from the underground, at the moment, the corresponding destination is the current underground safety area, so that the operator can wait for rescue, a corresponding safety point analysis model is built based on the neural network model for analysis, the corresponding separation dangerous points are obtained, and further subsequent calculation is performed.
The method for planning the safe scheduling route comprises the following steps:
establishing a space coordinate system in the monitoring model, marking coordinate areas of all underground channels, identifying coordinate positions of all construction operators in the monitoring model, acquiring scheduling routes of the corresponding construction operators according to the identified coordinate positions, prioritizing the scheduling routes, and selecting a scheduling route with a first ranking as a safe scheduling route.
The method for prioritizing the scheduling routes comprises the following steps:
marking a scheduling route as j, wherein j=1, 2, … …, m is a positive integer; estimating the scheduling time of the corresponding construction worker on each scheduling route, marking as SDj, identifying the dangerous area range, setting a dangerous influence value according to the position relation between the scheduling route and the dangerous area range, marking as WZj, and according to a priority value formula
Figure BDA0003815658560000071
Calculating a priority value, wherein b1 and b2 are both proportional coefficients, and the value range is 0<b1≤1,0<b2 is less than or equal to 1; and sorting according to the calculated priority value.
The scheduling time of the corresponding construction operators on each scheduling route is estimated, the calculation is carried out according to the normal statistical speed, the number of the construction operators in the corresponding range is estimated, a corresponding time calculation matching table can be established by an expert group, the corresponding calculation speed is firstly obtained, the corresponding additional time is matched according to the corresponding number of people, and the corresponding scheduling time is obtained after calculation.
The risk influence value is set according to the position relation between the dispatching route and the range of the dangerous area, namely, the possible risk degree generated by the dispatching route is set according to the range of the dangerous area, the possible risk degree generated by the dispatching route is set according to the corresponding data Pi of each display data item, the corresponding risk analysis model is built based on the neural network model for estimation, and the specific building and training process is common knowledge in the field, so that the detailed description is omitted.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.

Claims (1)

1. The method for safely scheduling the operators in the underground construction is characterized by comprising the following steps of:
step one: establishing an underground monitoring model, monitoring an underground operation environment in real time through the underground monitoring model, and obtaining a monitoring result;
step two: the corresponding display nodes are used as base points to mark dangerous areas in the underground monitoring model, and corresponding safety alarm information is generated;
step three: positioning the current position of the underground construction operator, and marking in a monitoring model;
step four: planning a safe scheduling route, and guiding a corresponding construction worker to reach a corresponding position according to the obtained safe scheduling route;
the method for establishing the underground monitoring model comprises the following steps:
acquiring an underground information graph, establishing an underground model according to the acquired underground information graph, establishing a data monitoring project table, setting display nodes at corresponding positions in the underground model according to the data monitoring project table, and marking the current underground model as an underground monitoring model;
the method for monitoring the underground operation environment in real time through the underground monitoring model comprises the following steps of;
the method comprises the steps of receiving an underground monitoring system, acquiring various monitoring data in real time, processing the acquired monitoring data to acquire node display data, transmitting the acquired node display data to a corresponding display node, displaying the received node display data by the display node, and carrying out real-time check on the displayed data by the data check algorithm by the display node, wherein a data check algorithm is arranged in the display node to acquire a monitoring result; monitoring results including monitoring for normal and detecting for anomalies; when the monitoring result is that the detection is normal, the operation is not performed, and when the monitoring result is that the detection is abnormal, the step two is entered;
the method for processing the obtained monitoring data comprises the following steps:
setting monitoring items of each kind of monitoring data, carrying out corresponding data identification and extraction according to each set monitoring item to form monitoring item data, obtaining display data items of each display node, carrying out corresponding combination according to the corresponding monitoring item matched with the display data items to form combination items, combining the corresponding monitoring item data according to the combination items to obtain combination item data, and marking the combination item data as node display data;
the data checking algorithm is as follows:
acquiring corresponding display sectionSetting a corresponding data conversion model for the display data item of the point, and converting the display data item data of the corresponding non-numerical value into the corresponding numerical value through the data conversion model; identifying each display data item data of the corresponding display node, and marking the display data item as i, wherein i=1, 2, … …, n is a positive integer; marking the corresponding display data items as Pi, obtaining the corresponding standard limit value of each display data item, marking as BZi, setting the weight coefficient of each display data item, and marking as βi; setting the adjustment coefficient of each display data item, marking as alpha i, and checking the algorithm as
Figure FDA0004216153980000021
When Q is greater than the threshold X1, monitoring abnormality, otherwise, monitoring normality;
the method for planning the safe scheduling route comprises the following steps:
establishing a space coordinate system in a monitoring model, marking coordinate areas of all underground channels, identifying coordinate positions of all construction operators in the monitoring model, acquiring scheduling routes of the corresponding construction operators according to the identified coordinate positions, and carrying out priority ranking on the scheduling routes, wherein the scheduling route with the first rank is selected as a safe scheduling route;
the method for prioritizing the scheduling routes comprises the following steps:
marking a scheduling route as j, wherein j=1, 2, … …, m is a positive integer; estimating the scheduling time of the corresponding construction worker on each scheduling route, marking as SDj, identifying the dangerous area range, setting a dangerous influence value according to the position relation between the scheduling route and the dangerous area range, marking as WZj, and according to a priority value formula
Figure FDA0004216153980000022
Calculating a priority value, wherein b1 and b2 are both proportional coefficients, and the value range is 0<b1≤1,0<b2 is less than or equal to 1; sorting according to the calculated priority value;
the method for marking the dangerous area in the underground monitoring model by taking the corresponding display node as the base point comprises the following steps:
and (3) acquiring each display data item data Pi and corresponding Q, integrating and marking the acquired Pi, Q and corresponding display node labels as analysis data, establishing a region model, inputting the analysis data into the region model for analysis, acquiring a corresponding dangerous region range, and carrying out corresponding marking in the monitoring model.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6192314B1 (en) * 1998-03-25 2001-02-20 Navigation Technologies Corp. Method and system for route calculation in a navigation application
JP2008191157A (en) * 2008-02-04 2008-08-21 Toshio Tsukishiro Navigation device
DE102011083024A1 (en) * 2011-09-20 2013-03-21 Robert Bosch Gmbh Evacuation system for planning escape routes in a building, procedures and computer program
WO2014010442A1 (en) * 2012-07-13 2014-01-16 日東電工株式会社 On-demand multiple power source management system, on-demand multiple power source management system program and computer-readable recording medium on which said program is recorded
DE102015209266A1 (en) * 2015-05-21 2016-11-24 Robert Bosch Gmbh Evacuation device for planning escape routes in a surveillance area, method and computer program
CN108154265A (en) * 2017-12-22 2018-06-12 中国矿业大学 A kind of cellular automata optimization of mine fire best-effort path and bootstrap technique
CN108757040A (en) * 2018-05-31 2018-11-06 安徽理工大学 A kind of mine safety monitoring system
WO2019195630A1 (en) * 2018-04-06 2019-10-10 MosSmith Industries, Inc. Emergency response system
CA3094424A1 (en) * 2019-06-21 2020-12-21 China University Of Mining And Technology Safety monitoring and early-warning method for man-machine interaction behavior of underground conveyor belt operator

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4255317B2 (en) * 2003-06-03 2009-04-15 株式会社日立製作所 Operation monitoring method, execution system, and processing program
CA2616613C (en) * 2005-07-26 2013-10-22 Timothy D. Barfoot Guidance, navigation, and control system for a vehicle
WO2015057187A1 (en) * 2013-10-14 2015-04-23 Draeger Safety, Inc. Intelligent personnel escape routing during hazard event
CN105373082A (en) * 2014-08-07 2016-03-02 中兴通讯股份有限公司 Mine safety management method and mine safety management device based on geographical information system
CN106503900A (en) * 2016-10-31 2017-03-15 山东康威通信技术股份有限公司 A kind of LBS warning data method for pushing based on built-up pattern
CN109840853A (en) * 2017-11-28 2019-06-04 沈阳知源科技有限公司 A kind of dynamic management system of coal mine emergency command information
CN108301872B (en) * 2018-02-28 2020-03-31 山东科技大学 Visual mine real-time monitoring alarm system and method based on data filtering
CN111195407A (en) * 2020-01-15 2020-05-26 重庆特斯联智慧科技股份有限公司 Fire-fighting early warning method and system
CN112291735B (en) * 2020-10-22 2023-08-01 广州市建筑科学研究院有限公司 Visual chemical engineering intelligent monitoring system and method based on UWB
CN112633574A (en) * 2020-12-22 2021-04-09 中设数字技术股份有限公司 Escape path planning method based on BIM technology
CN113309571B (en) * 2021-05-20 2022-09-09 中国矿业大学 Mine roadway network thermal power disaster evolution evaluation system and prediction rescue method
CN114320470B (en) * 2021-12-28 2024-05-28 淮南市阶梯电子科技有限公司 Electric safety monitoring system and method for coal mine shaft

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6192314B1 (en) * 1998-03-25 2001-02-20 Navigation Technologies Corp. Method and system for route calculation in a navigation application
JP2008191157A (en) * 2008-02-04 2008-08-21 Toshio Tsukishiro Navigation device
DE102011083024A1 (en) * 2011-09-20 2013-03-21 Robert Bosch Gmbh Evacuation system for planning escape routes in a building, procedures and computer program
WO2014010442A1 (en) * 2012-07-13 2014-01-16 日東電工株式会社 On-demand multiple power source management system, on-demand multiple power source management system program and computer-readable recording medium on which said program is recorded
DE102015209266A1 (en) * 2015-05-21 2016-11-24 Robert Bosch Gmbh Evacuation device for planning escape routes in a surveillance area, method and computer program
CN108154265A (en) * 2017-12-22 2018-06-12 中国矿业大学 A kind of cellular automata optimization of mine fire best-effort path and bootstrap technique
WO2019195630A1 (en) * 2018-04-06 2019-10-10 MosSmith Industries, Inc. Emergency response system
CN108757040A (en) * 2018-05-31 2018-11-06 安徽理工大学 A kind of mine safety monitoring system
CA3094424A1 (en) * 2019-06-21 2020-12-21 China University Of Mining And Technology Safety monitoring and early-warning method for man-machine interaction behavior of underground conveyor belt operator

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
高层建筑综合垂直疏散信息系统研究;宋宁;石晓军;;消防技术与产品信息(第08期);全文 *

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