CN117114348A - Digital delivery analysis management system for coal construction engineering - Google Patents
Digital delivery analysis management system for coal construction engineering Download PDFInfo
- Publication number
- CN117114348A CN117114348A CN202311180337.0A CN202311180337A CN117114348A CN 117114348 A CN117114348 A CN 117114348A CN 202311180337 A CN202311180337 A CN 202311180337A CN 117114348 A CN117114348 A CN 117114348A
- Authority
- CN
- China
- Prior art keywords
- monitoring
- working
- mine
- fireproof
- explosion
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 38
- 238000010276 construction Methods 0.000 title claims abstract description 27
- 239000003245 coal Substances 0.000 title claims abstract description 26
- 238000007726 management method Methods 0.000 title abstract description 7
- 238000012544 monitoring process Methods 0.000 claims abstract description 160
- 238000011156 evaluation Methods 0.000 claims abstract description 80
- 238000012360 testing method Methods 0.000 claims description 85
- 230000004044 response Effects 0.000 claims description 62
- 238000010304 firing Methods 0.000 claims description 58
- 238000000034 method Methods 0.000 claims description 17
- 230000008569 process Effects 0.000 claims description 16
- 238000012423 maintenance Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000004880 explosion Methods 0.000 claims description 6
- 238000004079 fireproofing Methods 0.000 claims description 3
- 238000011076 safety test Methods 0.000 abstract description 5
- 230000006872 improvement Effects 0.000 abstract description 3
- 239000000779 smoke Substances 0.000 description 4
- 238000005507 spraying Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000012790 confirmation Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Computer Security & Cryptography (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The invention relates to the technical field of digital delivery of coal construction engineering, and particularly discloses a digital delivery analysis management system of coal construction engineering, which comprises the following components: the system comprises a mine area dividing module, a mine explosion-proof monitoring and analyzing module, a cloud database, a mine fireproof monitoring and analyzing module and a mine safety delivery analyzing module; according to the invention, by constructing the three-dimensional information model of the target mine and analyzing the explosion-proof performance evaluation index of the target mine and the working accuracy of the fireproof equipment, whether the target mine can be delivered or not is judged, the problem of limitation in the current delivery safety test through the explosion-proof layer and the fireproof layer is effectively solved, the safety of constructors is ensured, the possibility of accidents is reduced, the safe operation of coal construction engineering is ensured, meanwhile, a definite direction is provided for the adjustment and improvement of subsequent mine exploitation projects, and the exploitation efficiency and exploitation quality of mine exploitation projects are improved.
Description
Technical Field
The invention relates to the technical field of digital delivery of coal construction engineering, in particular to a digital delivery analysis management system of coal construction engineering.
Background
Along with the continuous development of technology, the application of digital delivery in coal construction engineering becomes more and more important, and becomes an important trend of industry development, and mine exploitation is an important link of coal construction engineering, so that the safety of construction in the mine exploitation process, the accident risk reduction, the safety of protection personnel and assets, and the safety during the delivery of mine exploitation engineering needs to be tested.
The existing safety test for mine exploitation engineering delivery mainly comprises an explosion-proof layer and a fireproof layer, and obviously, the safety test for the explosion-proof layer and the fireproof layer has the following problems: 1. in the explosion-proof test level, the position deviation condition of the monitoring points in the monitoring subarea of the target mine is not considered, so that the explosion-proof performance evaluation result of the target mine has larger difference, the explosion-proof safety intelligent monitoring effect of the target mine is further reduced, the explosion-proof safety state of the target mine cannot be accurately known, potential safety risks are caused for the work of mine exploitation personnel, and the overall exploitation construction progress of the mine can be influenced.
2. At the fire prevention test level, only judge whether fire-proof equipment's work response is normal, not consider the timeliness of its work response and the accuracy of working duration to unable guarantee fire-proof equipment's timeliness of work response and the accuracy of working duration, and then make final analysis result have defects such as the accuracy is not high and rationality is poor, reduced fire-proof equipment's operational reliability.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, a system for digitally delivering, analyzing and managing coal construction engineering is proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides a digital delivery analysis management system for coal construction engineering, which comprises: the mine area dividing module is used for dividing the target mine into monitoring subareas according to the preset length and constructing a three-dimensional information model of the target mine so as to obtain the three-dimensional information model corresponding to each monitoring subarea.
The mine explosion-proof monitoring analysis module is used for carrying out explosion test on the coal explosion area corresponding to each monitoring subarea according to the three-dimensional information model corresponding to each monitoring subarea, and monitoring explosion-proof state index information corresponding to each monitoring subarea so as to analyze the position deviation index χ corresponding to each monitoring subarea i And a region state evaluation index delta i Further analyzing the explosion-proof performance evaluation index of the target mineWhere i denotes the number of the monitoring subregion, i=1, 2,..n.
And the cloud database is used for storing the initial positions of the monitoring points corresponding to the monitoring subareas in the target mine.
The mine fireproof monitoring and analyzing module is used for acquiring the use time and the maintenance times of each fireproof device, obtaining the central point position of the target mine according to the three-dimensional information model of the target mine, performing fire tests on the central point position of the target mine, and monitoring the working performance information of each fireproof device in each fire test, so as to analyze the working accuracy of the fireproof devices in the target mine.
And the mine safety delivery analysis module judges that the target mine has potential safety hazard if the explosion-proof performance evaluation index of the target mine or the working accuracy of the fireproof equipment is smaller than the set value of the target mine, and further cannot deliver the target mine, otherwise, judges that the target mine has no potential safety hazard, and can deliver the target mine.
Specifically, the explosion-proof state index information comprises monitoring point information and area information, wherein the monitoring point information is the position of each monitoring point, and the area information is the number of area cracks and the extension length of each crack.
Specifically, the analyzing the position deviation index corresponding to each monitoring subarea includes the following specific analysis processes: a1, extracting initial positions of monitoring points corresponding to all monitoring subareas in a target mine from a cloud database, and taking the initial positions into a three-dimensional information model corresponding to the corresponding monitoring subareas to obtain initial position coordinates of the monitoring points corresponding to all the monitoring subareas, and recording the initial position coordinates asWhere j represents the number of the monitoring point, j=1, 2.
A2, extracting the positions of the monitoring points corresponding to the monitoring subareas from the monitoring point information, and bringing the positions into a three-dimensional information model corresponding to the corresponding monitoring subareas to obtain the position coordinates of the monitoring points corresponding to the monitoring subareas, and marking the position coordinates as (x) ij ,y ij ,z ij )。
A3, calculating the position deviation index beta of each monitoring point corresponding to each monitoring subarea ij ，Wherein Δx ', Δy ', and Δz ' represent the positional offset values corresponding to the x-axis, y-axis, and z-axis, respectively, for which setting is permitted.
A4, calculating a position deviation index χ corresponding to each monitoring subarea i ，Where m represents the number of monitoring points.
Specifically, the analyzing the regional state evaluation index corresponding to each monitoring subarea includes the following specific analysis processes: b1, extracting the number of the area cracks and the extension length of each crack corresponding to each monitoring subarea from the area information.
B2, marking the number of the area cracks corresponding to each monitoring subarea as epsilon i 。
B3, extracting the maximum value from the extension length of each crack corresponding to each monitoring subarea, and marking as l i 。
B4, obtaining the area of each monitoring subarea according to the three-dimensional information model corresponding to each monitoring subarea, and marking as S i 。
B5, calculating state evaluation indexes delta corresponding to all monitoring subareas i ，Wherein K is 1 And l' respectively represent the fracture concentration and the fracture safety extension length of the set reference, a 1 And a 2 The set crack density and the set crack safety extension length correspond to the regional state evaluation duty ratio weight respectively, and e represents a natural constant.
Specifically, the explosion-proof performance evaluation index of the analysis target mine comprises the following specific analysis processes: c1, calculating an explosion-proof performance evaluation index corresponding to each monitoring subarea Wherein χ is i And delta i A represents a positional deviation index and a regional state evaluation index of a set reference 3 And a 4 The set position deviation index and the set region state evaluation index correspond to the explosion-proof performance evaluation duty ratio weight respectively.
And C2, comparing the explosion-proof performance evaluation index corresponding to each monitoring subarea with the set explosion-proof performance evaluation index, and if the explosion-proof performance evaluation index corresponding to a certain monitoring subarea is smaller than the set explosion-proof performance evaluation index, judging the monitoring subarea as a dangerous subarea, counting the number of dangerous subareas in the target mine, and marking as tau.
C3, extracting the most from the explosion-proof performance evaluation indexes corresponding to all the monitoring subareasSmall value, noted as
C4, calculating an explosion-proof performance evaluation index of the target mine Wherein n represents the number of monitoring subregions, K 2 And->Respectively representing the number proportion of dangerous subareas and the explosion-proof performance evaluation index of the set reference, a 5 And a 6 The set number of dangerous subareas and the corresponding explosion-proof performance evaluation duty ratio weight of the explosion-proof performance evaluation index are respectively represented.
Specifically, the working performance information includes an actual start working time and an actual working duration.
Specifically, the working accuracy of the fireproof equipment in the analysis target mine is as follows: d1, extracting actual starting working time and actual working time of each fireproof device in each firing test from the working performance information, and calculating working accuracy theta of each fireproof device in each firing test according to the actual starting working time and the actual working time r Where r represents the number of the fire test, r=1, 2,..g.
D2, making difference between the working accuracy of the fireproof equipment in each firing test and the working accuracy of the set reference to obtain working accuracy deviation of the fireproof equipment in each firing test, extracting the maximum working accuracy deviation from the working accuracy deviation, and recording the maximum working accuracy deviation as delta theta Big size 。
D3, extracting maximum value and minimum value from working accuracy of fire-proofing equipment in every fire test, and respectively recording them as theta Big size And theta Small size 。
D4, calculating the working accuracy omega of the fire-proof equipment in the target mine,wherein, delta theta 'and delta theta' respectively represent working accuracy deviation and working accuracy extremum deviation of the set reference, a 7 And a 8 And respectively representing the set working accuracy deviation and the working accuracy extremum deviation corresponding to the working accuracy evaluation duty ratio weight.
Specifically, the working accuracy of the fireproof equipment in each firing test is calculated, and the specific calculation process is as follows: and E1, extracting the display starting working time and the display working time of each fireproof device in each firing test from the three-dimensional information model of the target mine.
E2, calculating the working response time accuracy of the fireproof equipment in each firing test according to the actual starting working time and the display starting working time of the fireproof equipment in each firing test
E3, respectively recording the actual working time length and the display working time length of each fireproof device in each firing test asAnd->Where p denotes the number of the fire protection device, p=1, 2.
E4, calculating the working time accuracy of the fireproof equipment in each firing test Where q denotes the number of fire protection devices and Δt denotes the deviation of the operating time of the set reference.
And E5, setting a working accuracy influence factor lambda of the fireproof equipment according to the service time and the maintenance times of each fireproof equipment.
E6, calculating the working accuracy theta of the fireproof equipment in each firing test r ，Wherein b 1 And b 2 And respectively representing the set working response time length precision and the corresponding working precision evaluation duty ratio weight of the working time length precision.
Specifically, the working response time length accuracy of the fireproof equipment in each firing test is calculated, and the specific calculation process is as follows: and F1, comparing the actual starting working time and the display starting working time of each fireproof device in each firing test to obtain the working response time of each fireproof device in each firing test.
F2, comparing the working response time length of each fireproof device in each firing test with the working response time length of the set reference, if the working response time length of a certain fireproof device in a certain firing test is smaller than or equal to the working response time length of the set reference, judging the fireproof device as an accurate response device, counting the number of the accurate response devices in each firing test, and recording as sigma r 。
F3, calculating the average value of the working response time length of each fireproof device in each firing test to obtain the average working response time length of each fireproof device in each firing test, and recording the average working response time length as
F4, calculating the working response time accuracy of the fireproof equipment in each firing test Wherein K is 3 And T' respectively represent the number proportion of accurate response devices for setting reference and the working response time length, b 3 And b 4 Respectively representing the set number of accurate response devices and the set accuracy evaluation occupation of the corresponding working response time length of the working response time lengthAnd (5) a specific weight.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the invention, by constructing the three-dimensional information model of the target mine and analyzing the explosion-proof performance evaluation index of the target mine and the working accuracy of the fireproof equipment, whether the target mine has potential safety hazards or not is judged, the problem of limitation in the current delivery safety test through explosion-proof and fireproof layers is effectively solved, the multi-angle and multi-layer analysis of the delivery safety of the target mine is realized, the safety of constructors is ensured, the possibility of accidents is reduced, the safe operation of coal construction engineering is ensured, the direction is provided for the adjustment and improvement of subsequent mine exploitation projects, and the exploitation efficiency and exploitation quality of mine exploitation projects are improved.
(2) According to the method, the position deviation index and the area state evaluation index corresponding to each monitoring subarea are analyzed according to the positions of each monitoring point, the number of the area cracks and the extension length of each crack, so that the explosion-proof performance evaluation index of the target mine is analyzed, the difference of explosion-proof performance evaluation results of the target mine is reduced to the greatest extent, the explosion-proof safety intelligent monitoring effect of the target mine is further improved, the explosion-proof safety state of the target mine is accurately known, the safety risk of mine exploitation personnel in work is further reduced, and meanwhile, the influence on the overall exploitation construction progress of the mine is reduced.
(3) According to the invention, by setting a plurality of groups of fire tests and monitoring the actual starting working time and the actual working time of each fire device in each fire test, and simultaneously combining the display starting working time and the display working time of each fire device in each fire test, the working accuracy of the fire devices in the target mine is analyzed, the reliability and convincing degree of the confirmation of the fire test result of the target mine are improved, the timeliness of the working response of the fire devices and the accuracy of the working time are ensured, the accuracy and the rationality of the final analysis result are improved, and the running reliability of the fire devices in the target mine is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram showing the connection of the system modules according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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.
Referring to fig. 1, the invention provides a digitalized delivery analysis management system for coal construction engineering, comprising: the system comprises a mine area dividing module, a mine explosion-proof monitoring and analyzing module, a cloud database, a mine fireproof monitoring and analyzing module and a mine safety delivery analyzing module.
The mine explosion-proof monitoring analysis module and the mine fireproof monitoring analysis module are connected with the mine area dividing module, the mine explosion-proof monitoring analysis module and the mine fireproof monitoring analysis module are connected with the mine safety delivery analysis module, and the mine explosion-proof monitoring analysis module is connected with the cloud database.
The mine area dividing module is used for dividing the target mine into monitoring subareas according to preset lengths and constructing a three-dimensional information model of the target mine so as to obtain the three-dimensional information model corresponding to each monitoring subarea.
The mine explosion-proof monitoring analysis module is used for carrying out explosion test on the coal explosion area corresponding to each monitoring subarea according to the three-dimensional information model corresponding to each monitoring subarea and monitoring explosion-proof state index information corresponding to each monitoring subarea so as to analyze each monitoring subareaCorresponding positional shift index χ i And a region state evaluation index delta i Further analyzing the explosion-proof performance evaluation index of the target mineWhere i denotes the number of the monitoring subregion, i=1, 2,..n.
In a specific embodiment of the present invention, the explosion-proof status index information includes monitoring point information and area information, the monitoring point information is a position of each monitoring point, and the area information is a number of area cracks and an extension length of each crack.
The positions of the monitoring points are monitored by a GPS (global positioning system) positioning instrument, and the number of the regional cracks and the extension length of each crack are monitored by cameras arranged in each monitoring subarea.
In a specific embodiment of the present invention, the analyzing the position deviation index corresponding to each monitoring sub-area includes: a1, extracting initial positions of monitoring points corresponding to all monitoring subareas in a target mine from a cloud database, and taking the initial positions into a three-dimensional information model corresponding to the corresponding monitoring subareas to obtain initial position coordinates of the monitoring points corresponding to all the monitoring subareas, and recording the initial position coordinates asWhere j represents the number of the monitoring point, j=1, 2.
A2, extracting the positions of the monitoring points corresponding to the monitoring subareas from the monitoring point information, and bringing the positions into a three-dimensional information model corresponding to the corresponding monitoring subareas to obtain the position coordinates of the monitoring points corresponding to the monitoring subareas, and marking the position coordinates as (x) ij ,y ij ,z ij )。
A3, calculating the position deviation index beta of each monitoring point corresponding to each monitoring subarea ij ，Wherein Δx ', Δy ', and Δz ' represent the x-axis, y-axis, and z-axis of the setting permission, respectivelyAnd (5) a position offset value.
A4, calculating a position deviation index χ corresponding to each monitoring subarea i ，Where m represents the number of monitoring points.
In a specific embodiment of the present invention, the analyzing the area state evaluation index corresponding to each monitoring subarea includes: b1, extracting the number of the area cracks and the extension length of each crack corresponding to each monitoring subarea from the area information.
B2, marking the number of the area cracks corresponding to each monitoring subarea as epsilon i 。
B3, extracting the maximum value from the extension length of each crack corresponding to each monitoring subarea, and marking as l i 。
B4, obtaining the area of each monitoring subarea according to the three-dimensional information model corresponding to each monitoring subarea, and marking as S i 。
B5, calculating state evaluation indexes delta corresponding to all monitoring subareas i ，Wherein K is 1 And l' respectively represent the fracture concentration and the fracture safety extension length of the set reference, a 1 And a 2 The set crack density and the set crack safety extension length correspond to the regional state evaluation duty ratio weight respectively, and e represents a natural constant.
In a specific embodiment of the invention, the analysis target mine explosion-proof performance evaluation index comprises the following specific analysis processes: c1, calculating an explosion-proof performance evaluation index corresponding to each monitoring subarea Wherein χ is i And delta i Position shift index and area state evaluation index indicating setting referenceNumber, a 3 And a 4 The set position deviation index and the set region state evaluation index correspond to the explosion-proof performance evaluation duty ratio weight respectively.
And C2, comparing the explosion-proof performance evaluation index corresponding to each monitoring subarea with the set explosion-proof performance evaluation index, and if the explosion-proof performance evaluation index corresponding to a certain monitoring subarea is smaller than the set explosion-proof performance evaluation index, judging the monitoring subarea as a dangerous subarea, counting the number of dangerous subareas in the target mine, and marking as tau.
C3, extracting the minimum value from the explosion-proof performance evaluation indexes corresponding to all the monitoring subareas, and marking as
C4, calculating an explosion-proof performance evaluation index of the target mine Wherein n represents the number of monitoring subregions, K 2 And->Respectively representing the number proportion of dangerous subareas and the explosion-proof performance evaluation index of the set reference, a 5 And a 6 The set number of dangerous subareas and the corresponding explosion-proof performance evaluation duty ratio weight of the explosion-proof performance evaluation index are respectively represented.
According to the embodiment of the invention, the position deviation index and the area state evaluation index corresponding to each monitoring subarea are analyzed according to the positions of each monitoring point, the number of the area cracks and the extension length of each crack, so that the explosion-proof performance evaluation index of the target mine is analyzed, the difference of the explosion-proof performance evaluation results of the target mine is reduced to the greatest extent, the explosion-proof safety intelligent monitoring effect of the target mine is further improved, the explosion-proof safety state of the target mine is accurately known, the safety risk of mine exploitation personnel in work is further reduced, and the influence on the overall exploitation construction progress of the mine is reduced.
The cloud database is used for storing initial positions of monitoring points corresponding to the monitoring subareas in the target mine.
The mine fireproof monitoring and analyzing module is used for acquiring the use time and the maintenance times of each fireproof device, obtaining the central point position of the target mine according to the three-dimensional information model of the target mine, performing fire tests on the central point position of the target mine, and monitoring the working performance information of each fireproof device in each fire test, so as to analyze the working accuracy of the fireproof devices in the target mine.
In a specific embodiment of the present invention, the working performance information includes an actual start working time and an actual working duration.
In a specific embodiment, the fireproof device includes, but is not limited to, an alarm device, a spraying device, and a smoke exhaust device, where the actual start operation time and the actual operation time of the alarm device refer to an actual start alarm time and an actual alarm time, the actual start operation time and the actual operation time of the spraying device refer to an actual start spraying time and an actual spraying time, and the actual start operation time and the actual operation time of the smoke exhaust device refer to an actual start smoke exhaust time and an actual smoke exhaust time.
The service time, the maintenance times, the actual starting working time and the actual working time of each fireproof device are acquired from the fireproof device management background of the target mine.
In a specific embodiment of the invention, the working accuracy of the fire-proof equipment in the analysis target mine is as follows: d1, extracting actual starting working time and actual working time of each fireproof device in each firing test from the working performance information, and calculating working accuracy theta of each fireproof device in each firing test according to the actual starting working time and the actual working time r Where r represents the number of the fire test, r=1, 2,..g.
In a specific embodiment of the present invention, the working accuracy of the fire protection device in each firing test is calculated, and the specific calculation process is as follows: and E1, extracting the display starting working time and the display working time of each fireproof device in each firing test from the three-dimensional information model of the target mine.
E2, calculating the working response time accuracy of the fireproof equipment in each firing test according to the actual starting working time and the display starting working time of the fireproof equipment in each firing test
In a specific embodiment of the present invention, the working response time accuracy of the fire protection device in each firing test is calculated, and the specific calculation process is as follows: and F1, comparing the actual starting working time and the display starting working time of each fireproof device in each firing test to obtain the working response time of each fireproof device in each firing test.
F2, comparing the working response time length of each fireproof device in each firing test with the working response time length of the set reference, if the working response time length of a certain fireproof device in a certain firing test is smaller than or equal to the working response time length of the set reference, judging the fireproof device as an accurate response device, counting the number of the accurate response devices in each firing test, and recording as sigma r 。
F3, calculating the average value of the working response time length of each fireproof device in each firing test to obtain the average working response time length of each fireproof device in each firing test, and recording the average working response time length as
F4, calculating the working response time accuracy of the fireproof equipment in each firing test Wherein K is 3 And T' respectively represent the number proportion of accurate response devices for setting reference and the working response time length, b 3 And b 4 And respectively representing the set number duty ratio of the accurate response devices and the duty response time corresponding to the duty response time accuracy evaluation duty ratio weight.
E3, respectively recording the actual working time length and the display working time length of each fireproof device in each firing test asAnd->Where p denotes the number of the fire protection device, p=1, 2.
E4, calculating the working time accuracy of the fireproof equipment in each firing test Where q denotes the number of fire protection devices and Δt denotes the deviation of the operating time of the set reference.
And E5, setting a working accuracy influence factor lambda of the fireproof equipment according to the service time and the maintenance times of each fireproof equipment.
It should be noted that, the working accuracy influence factor of the fireproof equipment is set, and the specific setting process is as follows: g1, respectively recording the service time and maintenance times of each fireproof device asAnd τ p 。
G2, setting an operation accuracy influence factor lambda of the fire-proof equipment,wherein T' Make the following steps And τ' denote the duration of use and the number of repairs, c, respectively, of the set reference 1 And c 2 And respectively representing the set using time and the set maintenance times corresponding to the work accuracy influence factor evaluation duty ratio weight.
E6, calculating the working accuracy theta of the fireproof equipment in each firing test r ，Wherein b 1 And b 2 And respectively representing the set working response time length precision and the corresponding working precision evaluation duty ratio weight of the working time length precision.
D2, making difference between the working accuracy of the fireproof equipment in each firing test and the working accuracy of the set reference to obtain working accuracy deviation of the fireproof equipment in each firing test, extracting the maximum working accuracy deviation from the working accuracy deviation, and recording the maximum working accuracy deviation as delta theta Big size 。
D3, extracting maximum value and minimum value from working accuracy of fire-proofing equipment in every fire test, and respectively recording them as theta Big size And theta Small size 。
D4, calculating the working accuracy omega of the fire-proof equipment in the target mine,wherein, delta theta 'and delta theta' respectively represent working accuracy deviation and working accuracy extremum deviation of the set reference, a 7 And a 8 And respectively representing the set working accuracy deviation and the working accuracy extremum deviation corresponding to the working accuracy evaluation duty ratio weight.
According to the embodiment of the invention, by setting a plurality of groups of fire tests and monitoring the actual starting working time and the actual working time of each fire device in each fire test, and simultaneously combining the display starting working time and the display working time of each fire device in each fire test, the working accuracy of the fire devices in the target mine is analyzed, the reliability and convincing degree of the confirmation of the fire test result of the target mine are improved, the timeliness of the working response of the fire devices and the accuracy of the working time are ensured, the accuracy and the rationality of the final analysis result are improved, and the running reliability of the fire devices in the target mine is improved.
And if the explosion-proof performance evaluation index of the target mine or the working accuracy of the fireproof equipment is smaller than the set value, the mine safety delivery analysis module judges that the potential safety hazard exists in the target mine and further delivery cannot be performed, otherwise, judges that the potential safety hazard does not exist in the target mine and can be performed.
According to the embodiment of the invention, by constructing the three-dimensional information model of the target mine and analyzing the explosion-proof performance evaluation index of the target mine and the working accuracy of the fireproof equipment, whether the target mine has potential safety hazards or not is judged, the problem of limitation in the current delivery safety test through explosion-proof and fireproof layers is effectively solved, the multi-angle and multi-layer analysis of the delivery safety of the target mine is realized, the safety of constructors is ensured, the possibility of accidents is reduced, the safe operation of coal construction engineering is ensured, meanwhile, the direction is provided for the adjustment and improvement of the subsequent mine exploitation projects, and the exploitation efficiency and exploitation quality of the mine exploitation projects are improved.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (9)
1. The system for digitally delivering, analyzing and managing the coal construction engineering is characterized by comprising the following components:
the mine area dividing module is used for dividing the target mine into monitoring subareas according to preset lengths and constructing a three-dimensional information model of the target mine so as to obtain a three-dimensional information model corresponding to each monitoring subarea;
the mine explosion-proof monitoring analysis module is used for carrying out explosion test on the coal explosion area corresponding to each monitoring subarea according to the three-dimensional information model corresponding to each monitoring subarea, and monitoring explosion-proof state index information corresponding to each monitoring subarea so as to analyze the position deviation index χ corresponding to each monitoring subarea i And a region state evaluation index delta i Further analyze the target mineIs an explosion-proof performance evaluation index of (a)Where i represents the number of the monitoring subregion, i=1, 2,..n;
the cloud database is used for storing initial positions of monitoring points corresponding to the monitoring subareas in the target mine;
the mine fireproof monitoring analysis module is used for acquiring the use time and the maintenance times of each fireproof device, obtaining the central point position of the target mine according to the three-dimensional information model of the target mine, performing fire tests on the central point position of the target mine, and monitoring the working performance information of each fireproof device in each fire test so as to analyze the working accuracy of the fireproof devices in the target mine;
and the mine safety delivery analysis module judges that the target mine has potential safety hazard if the explosion-proof performance evaluation index of the target mine or the working accuracy of the fireproof equipment is smaller than the set value of the target mine, and further cannot deliver the target mine, otherwise, judges that the target mine has no potential safety hazard, and can deliver the target mine.
2. The system for digitally delivering, analyzing and managing coal construction engineering according to claim 1, wherein: the explosion-proof state index information comprises monitoring point information and area information, wherein the monitoring point information is the position of each monitoring point, and the area information is the number of area cracks and the extension length of each crack.
3. The system for digitally delivering, analyzing and managing coal construction engineering according to claim 2, wherein: the position deviation indexes corresponding to all monitoring subareas are analyzed, and the specific analysis process is as follows:
a1, extracting initial positions of monitoring points corresponding to all monitoring subareas in a target mine from a cloud database, and taking the initial positions into a three-dimensional information model corresponding to the corresponding monitoring subareas to obtain initial position coordinates of the monitoring points corresponding to all the monitoring subareas, and recording the initial position coordinates asWherein j represents the number of the monitoring point, j=1, 2, m;
a2, extracting the positions of the monitoring points corresponding to the monitoring subareas from the monitoring point information, and bringing the positions into a three-dimensional information model corresponding to the corresponding monitoring subareas to obtain the position coordinates of the monitoring points corresponding to the monitoring subareas, and marking the position coordinates as (x) ij ,y ij ,z ij )；
A3, calculating the position deviation index beta of each monitoring point corresponding to each monitoring subarea ij ，Wherein Δx ', Δy ', and Δz ' represent the position offset values corresponding to the x-axis, y-axis, and z-axis for which setting is permitted, respectively;
a4, calculating a position deviation index χ corresponding to each monitoring subarea i ，Where m represents the number of monitoring points.
4. The system for digitally delivering, analyzing and managing coal construction engineering according to claim 2, wherein: the area state evaluation index corresponding to each monitoring subarea is analyzed, and the specific analysis process is as follows:
b1, extracting the number of area cracks and the extension length of each crack corresponding to each monitoring subarea from the area information;
b2, marking the number of the area cracks corresponding to each monitoring subarea as epsilon i ；
B3, extracting the maximum value from the extension length of each crack corresponding to each monitoring subarea, and marking as l i ；
B4, obtaining the area of each monitoring subarea according to the three-dimensional information model corresponding to each monitoring subarea, and marking as S i ；
B5, calculating state evaluation indexes delta corresponding to all monitoring subareas i ，Wherein K is 1 And l' respectively represent the fracture concentration and the fracture safety extension length of the set reference, a 1 And a 2 The set crack density and the set crack safety extension length correspond to the regional state evaluation duty ratio weight respectively, and e represents a natural constant.
5. The system for digitally delivering, analyzing and managing coal construction engineering according to claim 1, wherein: the explosion-proof performance evaluation index of the analysis target mine comprises the following specific analysis processes:
c1, calculating an explosion-proof performance evaluation index corresponding to each monitoring subarea Wherein χ is i And delta i A represents a positional deviation index and a regional state evaluation index of a set reference 3 And a 4 The set position deviation index and the corresponding explosion-proof performance evaluation duty ratio weight of the regional state evaluation index are respectively represented;
c2, comparing the explosion-proof performance evaluation index corresponding to each monitoring subarea with the set explosion-proof performance evaluation index, if the explosion-proof performance evaluation index corresponding to a certain monitoring subarea is smaller than the set explosion-proof performance evaluation index, judging the monitoring subarea as a dangerous subarea, counting the number of dangerous subareas in a target mine, and marking as tau;
c3, extracting the minimum value from the explosion-proof performance evaluation indexes corresponding to all the monitoring subareas, and marking as
C4, calculating an explosion-proof performance evaluation index of the target mine Wherein n represents the number of monitoring subregions, K 2 And->Respectively representing the number proportion of dangerous subareas and the explosion-proof performance evaluation index of the set reference, a 5 And a 6 The set number of dangerous subareas and the corresponding explosion-proof performance evaluation duty ratio weight of the explosion-proof performance evaluation index are respectively represented.
6. The system for digitally delivering, analyzing and managing coal construction engineering according to claim 4, wherein: the working performance information comprises actual starting working time and actual working time.
7. The system for digitally delivering, analyzing and managing coal construction engineering according to claim 6, wherein: the working accuracy of the fireproof equipment in the analysis target mine is characterized in that the specific analysis process is as follows:
d1, extracting actual starting working time and actual working time of each fireproof device in each firing test from the working performance information, and calculating working accuracy theta of each fireproof device in each firing test according to the actual starting working time and the actual working time r Wherein r represents the number of the fire test, r=1, 2,..g;
d2, making difference between the working accuracy of the fireproof equipment in each firing test and the working accuracy of the set reference to obtain working accuracy deviation of the fireproof equipment in each firing test, extracting the maximum working accuracy deviation from the working accuracy deviation, and recording the maximum working accuracy deviation as delta theta Big size ；
D3, extracting maximum value and minimum value from working accuracy of fire-proofing equipment in every fire test, and respectively recording them as theta Big size And theta Small size ；
D4, calculating target mineThe working accuracy omega of the medium fire-proof equipment,wherein, delta theta 'and delta theta' respectively represent working accuracy deviation and working accuracy extremum deviation of the set reference, a 7 And a 8 And respectively representing the set working accuracy deviation and the working accuracy extremum deviation corresponding to the working accuracy evaluation duty ratio weight.
8. The system for digitally delivering, analyzing and managing coal construction engineering according to claim 7, wherein: the working accuracy of the fireproof equipment in each firing test is calculated, and the specific calculation process is as follows:
e1, extracting the display starting working time and the display working time of each fireproof device in each firing test from a three-dimensional information model of a target mine;
e2, calculating the working response time accuracy of the fireproof equipment in each firing test according to the actual starting working time and the display starting working time of the fireproof equipment in each firing test
E3, respectively recording the actual working time length and the display working time length of each fireproof device in each firing test asAndwherein p represents the number of the fire protection apparatus, p=1, 2,..q;
e4, calculating the working time accuracy of the fireproof equipment in each firing test Wherein q represents the number of fire protection devices, and Δt represents the deviation of the set reference operating time period;
e5, setting a working accuracy influence factor lambda of the fireproof equipment according to the service time and the maintenance times of each fireproof equipment;
e6, calculating the working accuracy theta of the fireproof equipment in each firing test r ，
Wherein b 1 And b 2 And respectively representing the set working response time length precision and the corresponding working precision evaluation duty ratio weight of the working time length precision.
9. The system for digitally delivering, analyzing and managing coal construction engineering according to claim 8, wherein: the working response time length accuracy of the fireproof equipment in each firing test is calculated, and the specific calculation process is as follows:
f1, comparing the actual starting working time and the display starting working time of each fireproof device in each ignition test to obtain the working response time of each fireproof device in each ignition test;
f2, comparing the working response time length of each fireproof device in each firing test with the working response time length of the set reference, if the working response time length of a certain fireproof device in a certain firing test is smaller than or equal to the working response time length of the set reference, judging the fireproof device as an accurate response device, counting the number of the accurate response devices in each firing test, and recording as sigma r ；
F3, calculating the average value of the working response time length of each fireproof device in each firing test to obtain the average working response time length of each fireproof device in each firing test, and recording the average working response time length as
F4, calculating the working response time accuracy of the fireproof equipment in each firing test Wherein K is 3 And T' respectively represent the number proportion of accurate response devices for setting reference and the working response time length, b 3 And b 4 And respectively representing the set number duty ratio of the accurate response devices and the duty response time corresponding to the duty response time accuracy evaluation duty ratio weight. />
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311180337.0A CN117114348A (en) | 2023-09-13 | 2023-09-13 | Digital delivery analysis management system for coal construction engineering |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311180337.0A CN117114348A (en) | 2023-09-13 | 2023-09-13 | Digital delivery analysis management system for coal construction engineering |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117114348A true CN117114348A (en) | 2023-11-24 |
Family
ID=88800052
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311180337.0A Pending CN117114348A (en) | 2023-09-13 | 2023-09-13 | Digital delivery analysis management system for coal construction engineering |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117114348A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117726239A (en) * | 2024-02-18 | 2024-03-19 | 温州市建设工程咨询有限公司 | Engineering quality acceptance actual measurement method and system |
| CN117787918A (en) * | 2024-01-08 | 2024-03-29 | 济宁雷润信息科技发展有限公司 | Building engineering construction safety management platform based on Internet of things |
| CN117808274A (en) * | 2024-03-01 | 2024-04-02 | 山西郎腾信息科技有限公司 | Colliery is intelligent system of patrolling and examining of gas safety in pit |
-
2023
- 2023-09-13 CN CN202311180337.0A patent/CN117114348A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117787918A (en) * | 2024-01-08 | 2024-03-29 | 济宁雷润信息科技发展有限公司 | Building engineering construction safety management platform based on Internet of things |
| CN117787918B (en) * | 2024-01-08 | 2024-06-04 | 济宁雷润信息科技发展有限公司 | Building engineering construction safety management platform based on Internet of things |
| CN117726239A (en) * | 2024-02-18 | 2024-03-19 | 温州市建设工程咨询有限公司 | Engineering quality acceptance actual measurement method and system |
| CN117726239B (en) * | 2024-02-18 | 2024-04-30 | 温州市建设工程咨询有限公司 | Engineering quality acceptance actual measurement method and system |
| CN117808274A (en) * | 2024-03-01 | 2024-04-02 | 山西郎腾信息科技有限公司 | Colliery is intelligent system of patrolling and examining of gas safety in pit |
| CN117808274B (en) * | 2024-03-01 | 2024-05-28 | 山西郎腾信息科技有限公司 | Colliery is intelligent system of patrolling and examining of gas safety in pit |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117114348A (en) | Digital delivery analysis management system for coal construction engineering | |
| CN108335377B (en) | GIS technology-based automatic check method for road inspection vehicle service | |
| CN104202086B (en) | A kind of Cable's Fault localization method | |
| CN109030323B (en) | Corrosion life monitoring system and method based on equipment condition | |
| CN114997682A (en) | Construction site safety monitoring system and method based on big data | |
| CN117152926B (en) | Automatic pressure detection early warning system based on data analysis | |
| CN116363825B (en) | Method and device for displaying fire spreading trend, electronic equipment and medium | |
| Chang et al. | Developing acceptance-sampling methods for quality construction | |
| CN110569192B (en) | Self-diagnosis method for coal mine safety monitoring system | |
| CN116882695A (en) | Automatic inspection method, device, computer equipment and storage medium | |
| CN116702463A (en) | Method, device, equipment and storage medium for predicting residual life of heating surface pipe | |
| Moud et al. | Safety of ground robot operations in construction job sites: A qualitative approach | |
| CN113503793A (en) | Method for rapidly monitoring cracks of dam of hydropower station | |
| CN109724663A (en) | A method of improving automatic monitoring smoke discharge amount accuracy | |
| Rivera Jr | Primer for the Inspection, Testing and Analysis of Electrically Continuous Reinforced Concrete Structures | |
| Nemoto et al. | Maintenance of subway tunnel by using maintenance indicator | |
| CN117972615B (en) | Automatic subway monitoring and early warning method and system | |
| CN107766166A (en) | The Information Security analysis method of avionics system | |
| CN116909196B (en) | Intelligent cable channel monitoring system and method based on Internet of things technology | |
| Czechowski et al. | Providing high-quality measurement data in analytical system of air pollution monitoring and their key importance for smart cities residents | |
| CN114913670B (en) | Personnel going out of sea safety management system based on safety code management | |
| CN114154817B (en) | Automated enterprise environment risk assessment method and device | |
| CN117455708B (en) | Intelligent treatment system for unorganized emission | |
| CN117556978A (en) | Underground coal mine operation and maintenance method and system based on big data analysis | |
| CN114943408B (en) | Intelligent monitoring method and system for potential safety hazards of hydrogen station |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |