CN110134715B - Analysis method for coal mine accident concealed report - Google Patents

Analysis method for coal mine accident concealed report Download PDF

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CN110134715B
CN110134715B CN201910458436.8A CN201910458436A CN110134715B CN 110134715 B CN110134715 B CN 110134715B CN 201910458436 A CN201910458436 A CN 201910458436A CN 110134715 B CN110134715 B CN 110134715B
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mine
abnormal
downhole
personnel
well
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CN110134715A (en
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李晓芳
常浩
侯鹏程
刘娜
张琪
张芳
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Jingying Digital Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2477Temporal data queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining

Abstract

The invention discloses an analysis method for coal mine accident concealed report, which comprises the following steps: acquiring a mine leader well descending data table from a mine end personnel positioning system file, performing mine leader well descending abnormity analysis, and storing mine leader well descending abnormity data into the mine leader well descending abnormity table after the analysis is completed; configuring 'personnel downhole abnormity' information in a mine-end personnel positioning system; acquiring a downhole worker historical data table and a downhole worker real-time data table from a mine end worker positioning system file, respectively performing anomaly analysis, and storing downhole worker anomaly information into a downhole worker anomaly table after the analysis is completed; and comparing the mine leader well descending abnormal table with the well descending personnel abnormal table, if the mine leader and the well descending personnel are in the abnormal tables on the same date, determining that an accident occurs on the date, and comparing the date with the accident reporting date to judge that the accident of the ore discharging end withstands the information. The invention enables a coal mine safety production supervision unit to effectively supervise the safety production of coal mine enterprises.

Description

Analysis method for coal mine accident concealed report
Technical Field
The invention belongs to the field of coal mine safety production, and particularly relates to a coal mine accident concealed analysis method.
Background
The nation pays attention to coal mine safety production, and has certain punishment measures for coal mine enterprises with accidents besides strengthening the supervision of daily production. Some managers of coal mine enterprises have a lucky psychology, attach importance to and manage coal mine production safety, and carry out hiding and reporting after accidents occur, so that on one hand, the monitoring of coal mine safety production supervision units on the accidents of the coal mine enterprises is influenced, on the other hand, the importance of the coal mine enterprises on the accidents is reduced, and the safety production of the coal mine enterprises is influenced.
Disclosure of Invention
In order to overcome the defect that part of managers of the existing coal mine enterprises can conceal the alarm after the coal mine accidents happen, the invention provides an analysis method for concealing the coal mine accidents, which can enable a coal mine safety production supervision unit to effectively supervise the safety production of the coal mine enterprises.
The technical scheme adopted by the invention for realizing the purpose is as follows:
an analysis method for coal mine accident concealment comprises the following steps: (1) acquiring a mine leader descending data table within 1 year before the current date through a mine end personnel positioning system file, performing mine leader descending abnormity analysis on the mine leader descending data table, and storing mine leader descending abnormity data into the mine leader descending abnormity table after the analysis is completed; (2) configuring 'personnel downhole abnormity' information in a mine end personnel positioning system, wherein the information comprises 'coal mine coding', 'time to start calculation', 'abnormal days'; (3) acquiring a downhole worker historical data table and a downhole worker real-time data table from a mine end worker positioning system file, respectively analyzing the anomaly of the downhole worker historical data table and the downhole worker real-time data table, and storing the anomaly information of the downhole worker into a downhole worker anomaly table after the analysis is finished; (4) and comparing the mine leader well descending abnormal table with the well descending personnel abnormal table, if the mine leader and the well descending personnel are in the abnormal tables on the same date, determining that an accident occurs on the date, and comparing the date with the accident reporting date to judge that the accident of the ore discharging end withstands the information.
Further, the information configuration of "personnel downhole abnormity" is that a coal mine user configures "personnel downhole abnormity information", and comprises: the method comprises the steps of coal mine coding, starting calculation time and abnormal days, wherein a data synchronization program uploads configuration information step by step so as to be inquired by a supervision unit;
further, the analysis of the abnormality of the downhole personnel historical data table is to firstly judge whether the 'starting calculation time' and the 'downhole abnormal days' of the 'personnel downhole abnormal' configuration information exist at the mine end, if so, the calculation is started according to the 'starting calculation time' of the 'personnel downhole abnormal' configuration information at the mine end, all personnel downhole records after the 'starting calculation time' are obtained from the historical table, if the difference between the 'previous downhole time' and the 'last downhole time' is greater than the 'downhole abnormal days' of the 'personnel downhole abnormal' configuration information at the mine end, the records are stored in the downhole personnel abnormal table, the abnormal starting time is the 'last downhole time', the abnormal ending time is the 'current downhole time', and if not, the analysis is finished. The historical data are uploaded step by step through a data synchronization program and a five-stage networking mechanism. According to the method, whether accident information is concealed before the current date of the coal mine can be judged by judging the historical abnormal information of the personnel who go into the mine and combining the mine leader abnormal information going into the mine.
Further, the abnormal analysis of the real-time data table of the downhole personnel comprises the following steps: (1) judging whether the mine end has the 'starting calculation time' and the 'abnormal days for going into the well' configuration information of 'abnormal personnel going into the well', if so, executing (2); otherwise, ending; (2) acquiring real-time data of a person going into a well, searching the person with the 'yes' sign of going out of the well, storing the time of going out of the well of the person as abnormal starting time in an abnormal table of the person going into the well, searching the person with the 'no' sign of going out of the well, judging whether the abnormal table of the person has the information of the person or not, if yes, executing the step (3), and if not, ending; (3) judging whether the difference between the current well entry time of the personnel and the abnormal starting time is greater than the abnormal days for going into the well of the configuration information of the abnormal well for personnel at the mine end, if so, saving the well entry time as the recorded abnormal ending time; otherwise, delete this record; the data are uploaded step by step through a data synchronization program and a five-stage networking mechanism. The invention can judge whether the coal mine is subjected to accident reporting or not in real time by judging the real-time abnormal table of the personnel who go into the well and combining the mine leader well-going abnormal information.
Further, the mine leader well descending abnormity analysis is that according to the obtained mine leader well descending data table, a daily average well descending collar derivative is calculated, whether the daily well descending collar derivative is larger than the daily average well descending collar derivative is calculated, and if the daily well descending collar derivative is larger than the daily average well descending collar derivative, accidents happen on the same day.
Preferably, the leadership well descending abnormal data table and the well descending personnel abnormal table are displayed in a mode of combining a chart with character analysis.
The method is used for analyzing whether accidents in the coal mine are concealed or not by analyzing the conditions of mine leading well descending abnormity and personnel well descending abnormity by a supervision unit. On one hand, the invention provides powerful real data basis for coal mine safety production supervision units, and effectively supervises the safety production of coal mine enterprises; on the other hand, the method also arouses the attention of coal mine enterprises and provides guarantee for coal mine safety production.
Drawings
The invention is further described with reference to the accompanying drawings, in which:
FIG. 1 is a flow chart of statistics of mine lead downhole anomalies;
FIG. 2 is a flow chart of an anomaly analysis of the historical data of the downhole personnel;
FIG. 3 is a flow chart of real-time data anomaly analysis by downhole personnel.
Detailed Description
Example 1
As shown in fig. 1 to 3, the method for analyzing coal mine accident withheld in the present embodiment includes the following steps: (1) acquiring a mine leader descending data table within 1 year before the current date through a mine end personnel positioning system file, performing mine leader descending abnormity analysis on the mine leader descending data table, and storing mine leader descending abnormity data into the mine leader descending abnormity table after the analysis is completed; (2) configuring 'personnel downhole abnormity' information in a mine end personnel positioning system, wherein the information comprises 'coal mine coding', 'time to start calculation', 'abnormal days'; (3) acquiring a downhole worker historical data table and a downhole worker real-time data table from a mine end worker positioning system file, respectively analyzing the anomaly of the downhole worker historical data table and the downhole worker real-time data table, and storing the anomaly information of the downhole worker into a downhole worker anomaly table after the analysis is finished; (4) and comparing the mine leader well descending abnormal table with the well descending personnel abnormal table, if the mine leader and the well descending personnel are in the abnormal tables on the same date, determining that an accident occurs on the date, and comparing the date with the accident reporting date to judge that the accident of the ore discharging end withstands the information.
Further, the information configuration of "personnel downhole abnormity" is that a coal mine user configures "personnel downhole abnormity information", and comprises: the method comprises the steps of coal mine coding, starting calculation time and abnormal days, wherein a data synchronization program uploads configuration information step by step so as to be inquired by a supervision unit;
further, the analysis of the abnormality of the downhole personnel historical data table is to firstly judge whether the 'starting calculation time' and the 'downhole abnormal days' of the 'personnel downhole abnormal' configuration information exist at the mine end, if so, the calculation is started according to the 'starting calculation time' of the 'personnel downhole abnormal' configuration information at the mine end, all personnel downhole records after the 'starting calculation time' are obtained from the historical table, if the difference between the 'previous downhole time' and the 'last downhole time' is greater than the 'downhole abnormal days' of the 'personnel downhole abnormal' configuration information at the mine end, the records are stored in the downhole personnel abnormal table, the abnormal starting time is the 'last downhole time', the abnormal ending time is the 'current downhole time', and if not, the analysis is finished. The historical data are uploaded step by step through a data synchronization program and a five-stage networking mechanism. According to the method, whether accident information is concealed before the current date of the coal mine can be judged by judging the historical abnormal information of the personnel who go into the mine and combining the mine leader abnormal information going into the mine.
Further, the abnormal analysis of the real-time data table of the downhole personnel comprises the following steps: (1) judging whether the mine end has the 'starting calculation time' and the 'abnormal days for going into the well' configuration information of 'abnormal personnel going into the well', if so, executing (2); otherwise, ending; (2) acquiring real-time data of a person going into a well, searching the person with the 'yes' sign of going out of the well, storing the time of going out of the well of the person as abnormal starting time in an abnormal table of the person going into the well, searching the person with the 'no' sign of going out of the well, judging whether the abnormal table of the person has the information of the person or not, if yes, executing the step (3), and if not, ending; (3) judging whether the difference between the current well entry time of the personnel and the abnormal starting time is greater than the abnormal days for going into the well of the configuration information of the abnormal well for personnel at the mine end, if so, saving the well entry time as the recorded abnormal ending time; otherwise, delete this record; the data are uploaded step by step through a data synchronization program and a five-stage networking mechanism. The invention can judge whether the coal mine is subjected to accident reporting or not in real time by judging the real-time abnormal table of the personnel who go into the well and combining the mine leader well-going abnormal information.
Further, the mine leader well descending abnormity analysis is that according to the obtained mine leader well descending data table, a daily average well descending collar derivative is calculated, whether the daily well descending collar derivative is larger than the daily average well descending collar derivative is calculated, and if the daily well descending collar derivative is larger than the daily average well descending collar derivative, accidents happen on the same day.
Example 2
As shown in fig. 1 to 3, the method for analyzing coal mine accident withheld in the present embodiment includes the following steps: (1) acquiring a mine leader descending data table within 1 year before the current date through a mine end personnel positioning system file, performing mine leader descending abnormity analysis on the mine leader descending data table, and storing mine leader descending abnormity data into the mine leader descending abnormity table after the analysis is completed; (2) configuring 'personnel downhole abnormity' information in a mine end personnel positioning system, wherein the information comprises 'coal mine coding', 'time to start calculation', 'abnormal days'; (3) acquiring a downhole worker historical data table and a downhole worker real-time data table from a mine end worker positioning system file, respectively analyzing the anomaly of the downhole worker historical data table and the downhole worker real-time data table, and storing the anomaly information of the downhole worker into a downhole worker anomaly table after the analysis is finished; (4) and comparing the mine leader well descending abnormal table with the well descending personnel abnormal table, if the mine leader and the well descending personnel are in the abnormal tables on the same date, determining that an accident occurs on the date, and comparing the date with the accident reporting date to judge that the accident of the ore discharging end withstands the information.
Further, the information configuration of "personnel downhole abnormity" is that a coal mine user configures "personnel downhole abnormity information", and comprises: the method comprises the steps of coal mine coding, starting calculation time and abnormal days, wherein a data synchronization program uploads configuration information step by step so as to be inquired by a supervision unit;
further, the analysis of the abnormality of the downhole personnel historical data table is to firstly judge whether the 'starting calculation time' and the 'downhole abnormal days' of the 'personnel downhole abnormal' configuration information exist at the mine end, if so, the calculation is started according to the 'starting calculation time' of the 'personnel downhole abnormal' configuration information at the mine end, all personnel downhole records after the 'starting calculation time' are obtained from the historical table, if the difference between the 'previous downhole time' and the 'last downhole time' is greater than the 'downhole abnormal days' of the 'personnel downhole abnormal' configuration information at the mine end, the records are stored in the downhole personnel abnormal table, the abnormal starting time is the 'last downhole time', the abnormal ending time is the 'current downhole time', and if not, the analysis is finished. The historical data are uploaded step by step through a data synchronization program and a five-stage networking mechanism. According to the method, whether accident information is concealed before the current date of the coal mine can be judged by judging the historical abnormal information of the personnel who go into the mine and combining the mine leader abnormal information going into the mine.
Further, the abnormal analysis of the real-time data table of the downhole personnel comprises the following steps: (1) judging whether the mine end has the 'starting calculation time' and the 'abnormal days for going into the well' configuration information of 'abnormal personnel going into the well', if so, executing (2); otherwise, ending; (2) acquiring real-time data of a person going into a well, searching the person with the 'yes' sign of going out of the well, storing the time of going out of the well of the person as abnormal starting time in an abnormal table of the person going into the well, searching the person with the 'no' sign of going out of the well, judging whether the abnormal table of the person has the information of the person or not, if yes, executing the step (3), and if not, ending; (3) judging whether the difference between the current well entry time of the personnel and the abnormal starting time is greater than the abnormal days for going into the well of the configuration information of the abnormal well for personnel at the mine end, if so, saving the well entry time as the recorded abnormal ending time; otherwise, delete this record; the data are uploaded step by step through a data synchronization program and a five-stage networking mechanism. The invention can judge whether the coal mine is subjected to accident reporting or not in real time by judging the real-time abnormal table of the personnel who go into the well and combining the mine leader well-going abnormal information.
Further, the mine leader well descending abnormity analysis is that according to the obtained mine leader well descending data table, a daily average well descending collar derivative is calculated, whether the daily well descending collar derivative is larger than the daily average well descending collar derivative is calculated, and if the daily well descending collar derivative is larger than the daily average well descending collar derivative, accidents happen on the same day.
Preferably, the leadership well descending abnormal data table and the well descending personnel abnormal table are displayed in a mode of combining a chart with character analysis.

Claims (2)

1. An analysis method for coal mine accident concealment is characterized by comprising the following steps: (1) acquiring a mine leader descending data table within 1 year before the current date through a mine end personnel positioning system file, performing mine leader descending abnormity analysis on the mine leader descending data table, and storing mine leader descending abnormity data into the mine leader descending abnormity table after the analysis is completed; (2) acquiring a downhole worker historical data table and a downhole worker real-time data table from a mine end worker positioning system file, respectively analyzing the anomaly of the downhole worker historical data table and the downhole worker real-time data table, and storing the anomaly information of the downhole worker into a downhole worker anomaly table after the analysis is finished; (3) comparing the mine leader well descending abnormal table with the well descending personnel abnormal table, if the mine leader and the well descending personnel are in the abnormal tables on the same date, determining that an accident occurs on the date, and then comparing the date with an accident reporting date to judge that the accident of a mine outlet end withholds the reporting information; the abnormal analysis of the downhole personnel historical data table comprises the steps of firstly judging whether the 'starting calculation time' and the 'downhole abnormal days' of the 'personnel downhole abnormal' configuration information exist at a mine end, if so, starting calculation according to the 'starting calculation time' of the 'personnel downhole abnormal' configuration information at the mine end, obtaining all personnel downhole records after the 'starting calculation time' from the historical table, if the difference between the 'current downhole time' and the 'last downhole abnormal time' is larger than the 'downhole abnormal days' of the 'personnel downhole abnormal' configuration information at the mine end, storing the records in the downhole personnel abnormal table, wherein the abnormal starting time is the 'last downhole time', the abnormal ending time is the 'current downhole time', and if not, ending; the abnormity analysis of the real-time data table of the downhole personnel comprises the following steps: (1) judging whether the mine end has the 'starting calculation time' and the 'abnormal days for going into the well' configuration information of 'abnormal personnel going into the well', if so, executing (2); otherwise, ending; (2) acquiring real-time data of a person going into a well, searching the person with the 'yes' sign of going out of the well, storing the time of going out of the well of the person as abnormal starting time in an abnormal table of the person going into the well, searching the person with the 'no' sign of going out of the well, judging whether the abnormal table of the person has the information of the person or not, if yes, executing the step (3), and if not, ending; (3) judging whether the difference between the current well entry time of the personnel and the abnormal starting time is greater than the abnormal days for going into the well of the configuration information of the abnormal well for personnel at the mine end, if so, saving the well entry time as the recorded abnormal ending time; otherwise, delete this record; and the mine leader well descending abnormity analysis is to calculate a daily average well descending collar derivative according to the obtained mine leader well descending data table, calculate whether the daily average well descending collar derivative is larger than the daily average well descending collar derivative 2, and if so, cause accidents in the same day.
2. The analysis method for coal mine accident withheld according to claim 1, characterized in that the leadership and downhole anomaly data table and downhole anomaly table are displayed by combining graph and text analysis.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201044110Y (en) * 2007-04-20 2008-04-02 福建鑫诺通讯技术有限公司 Remote monitoring and managing system for safety in production
CN103473639A (en) * 2013-09-04 2013-12-25 广西百色矿务局有限公司 Method and system for intelligent supervision of coal mine safety production
CN106448149A (en) * 2016-05-16 2017-02-22 江苏智通交通科技有限公司 Road traffic accident early warning method
CN108846585A (en) * 2018-06-25 2018-11-20 西安科技大学 A kind of hidden danger of coal mine processing management system
CN109189820A (en) * 2018-07-30 2019-01-11 北京信息科技大学 A kind of mine safety accidents Ontological concept abstracting method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10372718B2 (en) * 2014-11-03 2019-08-06 SavantX, Inc. Systems and methods for enterprise data search and analysis

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201044110Y (en) * 2007-04-20 2008-04-02 福建鑫诺通讯技术有限公司 Remote monitoring and managing system for safety in production
CN103473639A (en) * 2013-09-04 2013-12-25 广西百色矿务局有限公司 Method and system for intelligent supervision of coal mine safety production
CN106448149A (en) * 2016-05-16 2017-02-22 江苏智通交通科技有限公司 Road traffic accident early warning method
CN108846585A (en) * 2018-06-25 2018-11-20 西安科技大学 A kind of hidden danger of coal mine processing management system
CN109189820A (en) * 2018-07-30 2019-01-11 北京信息科技大学 A kind of mine safety accidents Ontological concept abstracting method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
井下人员定位系统在煤矿安全生产中的应用;王岩;《质量与安全》;20160228(第2期);第1页 *

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