CN113464197B - Mine water disaster emergency management method and system - Google Patents
Mine water disaster emergency management method and system Download PDFInfo
- Publication number
- CN113464197B CN113464197B CN202010235578.0A CN202010235578A CN113464197B CN 113464197 B CN113464197 B CN 113464197B CN 202010235578 A CN202010235578 A CN 202010235578A CN 113464197 B CN113464197 B CN 113464197B
- Authority
- CN
- China
- Prior art keywords
- water
- mine
- disaster
- data
- prediction
- 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.)
- Expired - Fee Related
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 536
- 238000007726 management method Methods 0.000 title claims abstract description 96
- 238000000034 method Methods 0.000 claims abstract description 142
- 238000012544 monitoring process Methods 0.000 claims abstract description 131
- 230000002265 prevention Effects 0.000 claims abstract description 89
- 230000004927 fusion Effects 0.000 claims abstract description 82
- 238000004088 simulation Methods 0.000 claims abstract description 69
- 238000013461 design Methods 0.000 claims abstract description 61
- 230000008569 process Effects 0.000 claims abstract description 58
- 238000011835 investigation Methods 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 20
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 19
- 150000001875 compounds Chemical class 0.000 claims abstract description 16
- 238000011081 inoculation Methods 0.000 claims abstract description 10
- 238000005065 mining Methods 0.000 claims description 54
- 238000004458 analytical method Methods 0.000 claims description 41
- 238000005553 drilling Methods 0.000 claims description 35
- 230000007480 spreading Effects 0.000 claims description 31
- 238000003892 spreading Methods 0.000 claims description 31
- 238000003860 storage Methods 0.000 claims description 30
- 238000011156 evaluation Methods 0.000 claims description 27
- 238000004891 communication Methods 0.000 claims description 22
- 238000001514 detection method Methods 0.000 claims description 22
- 230000008859 change Effects 0.000 claims description 19
- 238000010276 construction Methods 0.000 claims description 17
- 239000003245 coal Substances 0.000 claims description 15
- 238000009412 basement excavation Methods 0.000 claims description 13
- 238000005457 optimization Methods 0.000 claims description 12
- 238000013024 troubleshooting Methods 0.000 claims description 11
- 238000007689 inspection Methods 0.000 claims description 8
- 238000013473 artificial intelligence Methods 0.000 claims description 6
- 230000000737 periodic effect Effects 0.000 claims description 6
- 230000000007 visual effect Effects 0.000 claims description 6
- 230000008878 coupling Effects 0.000 claims description 4
- 238000010168 coupling process Methods 0.000 claims description 4
- 238000005859 coupling reaction Methods 0.000 claims description 4
- 230000000903 blocking effect Effects 0.000 claims description 3
- 238000004590 computer program Methods 0.000 claims description 3
- 238000011217 control strategy Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 45
- 238000004364 calculation method Methods 0.000 description 19
- 238000005516 engineering process Methods 0.000 description 15
- 238000011161 development Methods 0.000 description 13
- 230000000694 effects Effects 0.000 description 11
- 238000004519 manufacturing process Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 9
- 239000002131 composite material Substances 0.000 description 8
- 238000009826 distribution Methods 0.000 description 8
- 238000009423 ventilation Methods 0.000 description 8
- 238000007599 discharging Methods 0.000 description 7
- 239000002243 precursor Substances 0.000 description 7
- 238000013439 planning Methods 0.000 description 5
- 238000011160 research Methods 0.000 description 5
- 230000007774 longterm Effects 0.000 description 4
- 238000012806 monitoring device Methods 0.000 description 4
- 238000011084 recovery Methods 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- ATJFFYVFTNAWJD-UHFFFAOYSA-N Tin Chemical compound [Sn] ATJFFYVFTNAWJD-UHFFFAOYSA-N 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 238000012937 correction Methods 0.000 description 3
- 238000006073 displacement reaction Methods 0.000 description 3
- 230000001965 increasing effect Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000005086 pumping Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000010485 coping Effects 0.000 description 2
- 239000006185 dispersion Substances 0.000 description 2
- 230000005662 electromechanics Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 230000001788 irregular Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000035515 penetration Effects 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 238000010845 search algorithm Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 210000000349 chromosome Anatomy 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000004040 coloring Methods 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 210000000887 face Anatomy 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000007637 random forest analysis Methods 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 238000000611 regression analysis Methods 0.000 description 1
- 210000003786 sclera Anatomy 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000000638 solvent extraction Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 239000008400 supply water Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Images
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F11/00—Rescue devices or other safety devices, e.g. safety chambers or escape ways
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F16/00—Drainage
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Landscapes
- Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geology (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Emergency Management (AREA)
- Pulmonology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Alarm Systems (AREA)
Abstract
One or more embodiments of the present specification provide a mine water disaster emergency management method and system, including: according to the mine water disaster accident inoculation, formation, evolution, full life cycle process of disaster and corresponding prevention and control strategies, the method is divided into four stages, including: the method comprises a simulation prediction and prevention countermeasure stage before water damage occurs, a hidden danger investigation monitoring and early warning control stage, a rescue and emergency disposal stage before flooding after water damage occurs and a virtual simulation and design stage of a compound mine drainage scheme after flooding. On the basis, a mine water disaster emergency management system framework is designed, and in an application support environment comprising software and hardware, data processing and decision generation are carried out at each stage in a resource fusion mode. The mine water disaster emergency management system can realize scientific management.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of management systems, and in particular, to an emergency management method and system for mine water damage.
Background
The emergency rescue is an urgent need and development trend for mine safety production supervision, but the problems of resource dispersion, complex modeling, weak system and the like exist in the mine water disaster emergency management process.
In the related technology, the data resources of mine water damage are dispersed, the standards are different, and the integration and sharing are difficult. On the other hand, in the mine water disaster emergency management process, the modeling is complex, the characteristics of uncertainty, space-time dynamics and the like are realized, the simulation and prediction are difficult, and the modeling process relates to various modeling methods and various modeling environments.
Therefore, a new mine water disaster emergency management method is needed to realize the overall process management of mine water disaster accident prevention, decision assistance, monitoring and early warning, emergency treatment, emergency assessment and the like.
Disclosure of Invention
In view of this, one or more embodiments of the present disclosure provide a method for solving the problem that it is difficult to implement the overall process management such as mine water damage accident prevention, decision assistance, monitoring and early warning, emergency disposal, and emergency assessment.
In view of the above, one or more embodiments of the present disclosure provide an emergency management method for mine water damage, including: carrying out comprehensive prevention and control on mine water disasters, wherein the comprehensive prevention and control on the mine water disasters comprises a simulation prediction and precaution countermeasure stage before water disasters occur, a hidden danger investigation monitoring and early warning control stage, a rescue and emergency treatment stage before flooding after the water disasters occur and a virtual simulation and design stage of a compound mine drainage scheme after flooding according to the periodic process of inoculation, formation, evolution and disaster formation of mine water disasters; carrying out water hazard risk evaluation and prediction, water diversion structure detection and prediction, virtual simulation and prediction of a submergence process, detection and auxiliary design of water prevention and control and rescue facilities, and mining area and working surface arrangement analysis based on water hazard prevention and control in a simulation prediction and prevention countermeasure stage before water hazard occurs; carrying out water inflow amount prediction early warning, accident potential monitoring, grading early warning and accident potential management and control in a potential hazard troubleshooting monitoring and early warning management and control stage; in the emergency rescue and emergency disposal stage before flooding after water disaster, rapid identification, disaster water quantity prediction, water disaster information and spreading rule analysis, risk evaluation of personnel involved in the disaster, escape and evacuation optimization and water disaster disposal auxiliary design are carried out; performing simulation of a complex mine forced drainage scheme or simulation of a complex mine blocking-first-then-drainage scheme at a virtual simulation and design stage of a complex mine drainage scheme after a well is flooded; the simulation prediction and prevention countermeasure stage before the water disaster occurs, the hidden danger investigation monitoring and early warning management and control stage, the emergency rescue and emergency disposal stage before the well flooding after the water disaster occurs and the virtual simulation and design stage of the complex mine drainage scheme after the well flooding perform data processing and decision generation in an application support environment in a resource fusion mode; the construction of the application support environment at least comprises the construction of a server, a sensor or a cloud platform.
In one possible implementation, the resource fusion includes device fusion, data fusion, and system fusion; the equipment fusion comprises fusion of at least two of an internet of things related sensor, a long sight hole, a video camera, network communication equipment, a server and an LED display screen; the data fusion comprises fusion of at least two of source data, a constructed 2D or 3D model and an integrated mining intelligence library; the system fusion comprises fusion of at least two of a communication contact system, a video image system, a monitoring system, an electromagnetic-micro-seismic coupling monitoring system, an emergency danger avoiding system, a personnel positioning system, a forced air self-rescue system, a water supply rescue system, a computer network system, a short message system, an information management system, a GIS system, a visual simulation system and a role management system; the data fusion source data comprises historical data and real-time data, wherein the historical data comprises geological related data, water-related data and other data; the real-time data includes monitoring data, online data, and other data.
In one possible implementation, the resource fusion includes: constructing a resource fusion software and hardware platform based on the Internet of things, big data, artificial intelligence and cloud computing; constructing a cloud platform-based service, comprising: processing basic data; 2D and 3D modeling; building a mine water disaster case library; constructing a rapid identification model of mine water damage; dynamically updating the mine roadway; integrating the constructed model, file and the like to a command server and a drilling server of a dispatching center, wherein the storage mode comprises shared storage and independent storage of the command server and the drilling server; fusing a mining area database and an existing database; various sensors, personnel positioning information and the like in the pit are uploaded to a plurality of database servers of a dispatching center through an industrial ring network, a command server or a drilling server acquires relevant data, then relevant simulation analysis and prediction early warning are realized by combining a model, the data are visualized on an intelligent terminal or a display system, and various data and analysis results are reported to a higher-level department through a coal special network; and updating the change, equipment, data and the like of the mine roadway space along with the excavation engineering.
In a possible implementation manner, the method further comprises, before the occurrence of the water damage precursor, developing water damage risk evaluation and prediction, water diversion structure detection and prediction, virtual simulation and prediction of the process of submerging the underground mining space by the water damage accident, and generation of corresponding precaution countermeasures, and comprises the following steps: evaluating and predicting the water hazard risk; detecting and predicting a water guide structure; virtual simulation and prediction of the inundation process; detection, inspection and auxiliary design of water prevention and rescue facilities; the detection, inspection and auxiliary design of the water prevention and rescue facility comprises the steps of supporting the layout of detection equipment, correcting an emergency escape scheme, inspecting the deployment of a main drainage system and inspecting the deployment of a local drainage system; and (4) based on the mining area and working face arrangement analysis of water damage prevention and control, assisting the mining area arrangement or the working face arrangement.
In a possible implementation mode, the method further comprises the steps of carrying out grading early warning on the condition of reaching a threshold value through water inflow prediction, catastrophe early warning and accident potential monitoring based on Internet of things monitoring before the water damage is formed after the mine water damage precursor information appears, capturing the occurrence of the water damage accident, and taking a control measure; the method comprises the following steps: forecasting and early warning the water inflow; monitoring accident potential; carrying out grading early warning; and (5) managing and controlling accident hidden dangers.
In a possible implementation mode, the method further comprises the steps of rapidly judging the water damage, carrying out an escape and evacuation scheme of the personnel involved in the danger based on the danger evaluation of the underground personnel, and carrying out emergency treatment; the method comprises the following steps: rapidly judging and identifying; forecasting the water amount of the disasters; analyzing water damage information and spreading rules; risk evaluation of the personnel involved in the danger; optimizing escape evacuation; auxiliary design of water hazard disposal.
In a possible implementation manner, after completing emergency rescue and disposal of mine water damage, if the mine water damage cannot be effectively controlled, so that a certain range of a mine is submerged, performing virtual simulation and design on a mine complex mine drainage scheme, and assisting in formulating complex mine time, the method includes: and (3) simulating a composite ore forced discharge scheme to predict a composite ore time table, or simulating a composite ore blocking-first and discharging scheme to predict a composite ore time table.
One or more embodiments of the present specification further provide an emergency management system for mine water damage, including: the comprehensive mine water disaster prevention and control network is used for performing comprehensive mine water disaster prevention and control, and comprises a simulation prediction and precaution countermeasure stage before water disaster occurrence, a hidden danger investigation monitoring and early warning management and control stage, an emergency rescue and emergency treatment stage before flooding after water disaster occurrence and a virtual simulation and design stage of a compound mine drainage scheme after flooding according to the periodic process of mine water disaster accident inoculation, formation, evolution and disaster formation; the comprehensive mine water disaster prevention and control network comprises a simulation prediction and prevention countermeasure unit before water disaster occurs, a hidden danger investigation monitoring and early warning management and control unit, a pre-well-flooding emergency rescue and emergency disposal unit after water disaster occurs and a virtual simulation and design unit of a complex mine drainage scheme after well flooding; the pre-water damage simulation prediction and prevention countermeasure unit is used for evaluating and predicting water damage dangerousness, detecting and predicting a water guide structure, virtually simulating and predicting a submerging process, detecting, inspecting and designing auxiliary devices for water prevention and control and rescue facilities, and analyzing the arrangement of a mining area and a working surface based on water damage prevention and control; the hidden danger troubleshooting monitoring and early warning management and control unit is used for carrying out water inflow amount prediction early warning, accident hidden danger monitoring, grading early warning and accident hidden danger management and control; the emergency rescue and emergency disposal unit before flooding after water disaster occurrence is used for rapid identification, disaster water quantity prediction, water disaster information and spreading rule analysis, risk evaluation of personnel involved in the disaster, optimized escape and evacuation and water disaster disposal auxiliary design; the virtual simulation and design unit of the compound mine drainage scheme after the well is flooded is used for simulating a compound mine forced drainage scheme or simulating a compound mine first blocking and then draining scheme; the system comprises a simulation prediction and prevention countermeasure unit before water damage occurs, a hidden danger investigation monitoring and early warning management and control unit, a pre-well flooding emergency rescue and emergency disposal unit after water damage occurs and a virtual simulation and design unit of a post-well flooding complex mine drainage scheme, wherein the simulation prediction and prevention countermeasure unit before water damage occurs, the hidden danger investigation monitoring and early warning management and control unit, the pre-well flooding emergency rescue and emergency disposal unit after water damage occurs and the virtual simulation and design unit of the post-well flooding drainage scheme perform data processing and decision generation in an application support environment in a resource fusion mode; the construction of the application supporting environment at least comprises the construction of a server, a sensor or a cloud platform.
One or more embodiments of the present specification also provide an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method as described in any one of the above when executing the program.
One or more embodiments of the present specification also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method as any one of the above. As can be seen from the above, in the emergency management system for mine water disasters provided in one or more embodiments of the present specification, the data of the mining area and the data of the resource fusion server group are fused by the resource fusion server group, so that the utilization rates of data of different sources, different periods and different structures are improved, and the overall emergency management of mine water disaster accident prevention, decision-making assistance design, monitoring and early warning, emergency rescue and disposal, emergency drilling and the like can be implemented.
Drawings
In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of the embodiments or prior art will be briefly described below, it is obvious that the drawings in the description below are only one or more embodiments of the present specification, and that other drawings may be obtained by those skilled in the art without inventive effort.
FIG. 1 is a schematic diagram of a mine flood damage emergency management method and system architecture according to one or more embodiments of the present disclosure;
FIG. 2 is a schematic diagram of data partitioning of a mine water disaster source according to one or more embodiments of the present disclosure;
FIG. 3 is a schematic diagram of a resource fusion framework in accordance with one or more embodiments of the present description;
FIG. 4 is a schematic diagram illustrating a resource fusion effect according to one or more embodiments of the present disclosure;
FIGS. 5 (a) to 5 (e) are schematic diagrams illustrating simulation prediction and prevention before water damage occurs according to one or more embodiments of the present disclosure;
fig. 6 (a) to fig. 6 (b) are schematic diagrams illustrating inspection, monitoring and early warning of hidden water damage in one or more embodiments of the present disclosure;
fig. 7 is a schematic diagram illustrating a mobile device side access effect according to one or more embodiments of the present disclosure;
FIGS. 8 (a) to 8 (c) are schematic diagrams of the identification and epidemic simulation in accordance with one or more embodiments of the present disclosure;
FIG. 9 is a schematic view of a water damage management aid according to one or more embodiments of the present disclosure;
FIG. 10A is a three-dimensional view implementation flow of roadway elevation, water depth, flow rate, and risk according to one or more embodiments of the present disclosure;
FIG. 10B is a schematic illustration of a three dimensional view of roadway elevation, water depth, flow rate, and hazards in accordance with one or more embodiments of the present disclosure;
fig. 11 is a schematic view of escape evacuation according to one or more embodiments of the present disclosure;
FIGS. 11 (a) to 11 (c) are enlarged schematic views of portions of FIG. 11;
fig. 12 (a) to 12 (d) are schematic diagrams illustrating the effect of the mine multiple mine plugging-before-draining scheme according to one or more embodiments of the present disclosure;
fig. 13 is a hardware configuration diagram of an electronic device according to one or more embodiments of the present disclosure.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
It is to be noted that unless otherwise defined, technical or scientific terms used in one or more embodiments of the present specification should have the ordinary meaning as understood by those of ordinary skill in the art to which this disclosure belongs. The use of "first," "second," and similar terms in one or more embodiments of the specification is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
One or more embodiments of the present disclosure may provide emergency management of mine water damage. The intelligent emergency rescue is an urgent need and development trend for mine safety production supervision, and a long-acting information safety response and disposal mechanism can be established in order to promote stable and efficient implementation of the emergency rescue. The intelligent mine disaster management system has the advantages that technologies such as the internet of things, big data, artificial intelligence and cloud computing are combined, informatization, automation and intelligent mine construction are developed, information resource sharing is promoted, the emergency management level of mine enterprises is improved, loss caused by disasters is reduced, and the actual requirement of mine water disaster management is met.
One or more embodiments in the specification are conceived in consideration of the problems of resource dispersion, complex modeling, weak system and the like of the mine water disaster intelligent emergency management process. For example, resources are scattered, standards are different, and integration and sharing are difficult. The equipment from different periods and different sources, long-term accumulated data information and the like are scattered in each department for storage and management, in addition, with the development of informatization, internet of things and other technologies, independent construction is carried out among application systems such as 'six systems' for coal mine safety and risk avoidance, the monitoring data acquired by various sensors are different in format, standard and the like, so that 'information isolated islands' are formed, and resources are difficult to share and fully utilize. For another example, the modeling in the mine water disaster intelligent emergency management process is complex, has the characteristics of uncertainty, space-time dynamics and the like, and is difficult to simulate and predict. One or more embodiments in the present specification may create an intelligent emergency management system (MWS) for mine water damage, and through establishing a comprehensive prevention and control system for mine water damage, comprehensively applying various technical methods, and constructing an intelligent management and control integrated cooperative system, scientific management of mine water damage accident prevention, decision assistance, monitoring and early warning, emergency disposal, emergency assessment, and the like is achieved.
It should be noted that one or more embodiments of the present specification provide a mine water disaster emergency management method and system, including: according to the mine water disaster accident inoculation, formation, evolution, full life cycle process of disaster and corresponding prevention and control strategies, the method is divided into four stages, including: the method comprises the following steps of simulating, predicting and preventing a countermeasure stage before water damage occurs, investigating, monitoring, early warning and controlling a hidden danger, rescuing and emergency disposing before well flooding after water damage occurs, and virtually simulating and designing a complex mine drainage scheme after well flooding. The mine water disaster emergency management system can realize scientific management.
One or more embodiments in the present specification further provide a mine water disaster emergency management method, including:
step A00: and carrying out comprehensive mine water disaster prevention and control, wherein the comprehensive mine water disaster prevention and control comprises a simulation prediction and prevention countermeasure stage before water disaster occurrence, a hidden danger investigation monitoring and early warning control stage, a rescue and emergency treatment stage before flooding after water disaster occurrence and a virtual simulation and design stage of a re-mine drainage scheme after flooding according to the periodic process of inoculation, formation, evolution and disaster formation of the mine water disaster accident.
Step A10: the method comprises the steps of evaluating and predicting the danger of the water damage, detecting and predicting the water guide structure, virtually simulating and predicting the submerging process, detecting, inspecting and designing auxiliary devices for water prevention and rescue facilities and analyzing the arrangement of a mining area and a working surface based on water damage prevention and control in the stage of simulating, predicting and preventing the water damage.
Step A20: and carrying out water inflow amount prediction early warning, accident potential monitoring, grading early warning and accident potential management and control in the stages of potential hazard troubleshooting monitoring and early warning management and control.
Step A30: in the emergency rescue and emergency disposal stage before flooding after water disaster, rapid identification, disaster water quantity prediction, water disaster information and spreading rule analysis, risk evaluation of personnel involved in the disaster, escape and evacuation optimization and water disaster disposal auxiliary design are carried out. It should be noted that optimizing escape evacuation may be an intelligent way of optimizing escape evacuation.
Step A40: and performing simulation of a complex mine forced drainage scheme or simulation of a complex mine blocking-first and drainage scheme at the virtual simulation and design stage of the complex mine drainage scheme after the well is flooded.
The method comprises a simulation prediction and prevention countermeasure stage before water damage occurs, a hidden danger investigation monitoring and early warning control stage, a rescue and emergency disposal stage before well flooding after water damage occurs and a virtual simulation and design stage of a complex mine drainage scheme after well flooding, wherein data processing and decision generation are carried out in an application supporting environment in a resource fusion mode; the construction of the application supporting environment at least comprises the construction of a server, a sensor or a cloud platform.
The steps are divided into four stages for the whole life cycle process of the mine water disaster accident inoculation, formation, evolution and disaster formation and the corresponding prevention and control strategy, and a comprehensive mine water disaster prevention and control system is established. The whole stage of the mine water disaster prevention process is led by constructing a mine water disaster comprehensive prevention and control system.
It should be noted that, the above-mentioned stages may all perform data processing and decision generation in a resource fusion manner, for example, a simulation prediction and precautionary countermeasure stage before a water disaster occurs, a hidden danger troubleshooting monitoring and early warning management and control stage, an emergency rescue and emergency treatment stage before a well flooding after the water disaster occurs, and a virtual simulation and design stage of a recovery drainage scheme after the well flooding perform data processing and decision generation in an application support environment in a resource fusion manner.
By the method, an intelligent emergency management system for mine water damage can be established, an intelligent management and control integrated cooperative system is built by establishing a comprehensive prevention and control system for mine water damage and comprehensively applying various technical methods, and overall process scientific management such as mine water damage accident prevention, decision assistance, monitoring and early warning, emergency treatment, emergency assessment and the like is realized.
In one possible implementation, the resource fusion includes device fusion, data fusion, and system fusion. The equipment fusion comprises fusion of at least two of an internet of things related sensor, a long sight hole, a video camera, network communication equipment, a server and an LED display screen; the data fusion comprises fusion of at least two of source data, constructed 2D or 3D models and integrated mined wisdom libraries; the System fusion comprises fusion of at least two of a communication contact System, a video image System, a monitoring System, an electromagnetic-micro seismic coupling monitoring System, an emergency risk avoiding System, a personnel positioning System, a compressed air self-rescue System, a water supply rescue System, a computer network System, a short message System, an Information management System, a GIS (Geographic Information System) service System, a visual simulation System and a role management System.
The source data of the data fusion comprises historical data and real-time data. Historical data includes geological related, control water related and other data; real-time data includes monitoring data, online data, and other data.
In one possible implementation, the historical data includes geological related, control water related, and other data.
Geological correlation of historical data includes: reports, drawings, and ledgers; the report is a geological exploration report, a coal mine geological type division report and the like; the drawings are a stratum comprehensive histogram, an exploration drilling histogram, a return air and transportation horizontal geological section diagram and the like; the machine account is a coal seam thickness actual measurement card, a machine account, a pre-grouting observation record machine account after grouting and the like. It should be noted that the contents of the aforementioned reports, drawings and accounts are listed as examples, and are not limited to the examples, and can be selected according to actual needs.
Control water correlation of historical data includes: reports, drawings, and ledgers; the report is a mine hydrogeology type report, a mine hydrogeology supplementary exploration report, a related result and the like; the drawing is a hydrogeology drawing, a mine aquifer water level map or a contour map and the like; the machine account is a machine account for observation results of the water inflow of the mine, a machine account for observation results of surface hydrology and the like. It should be noted that the contents of the aforementioned reports, drawings and accounts are listed as examples, and are not limited to the examples, and can be selected according to actual needs. Other data of the historical data include: ventilation systems, production techniques and electromechanics; the ventilation system is a mine ventilation system diagram, a mine ventilation network diagram and a compressed air system diagram; the production technology comprises the steps of designing roadway pavement hardening, excavating continuation planning and mine disaster avoidance route maps; the system comprises an electromechanical underground power supply system diagram, an underground electrical equipment arrangement diagram and an underground communication system diagram.
Real-time data includes monitoring data, online data, and other data. The monitoring data of the real-time data comprises direct monitoring data based on the Internet of things. The online data of the real-time data includes online data collected by the application programming interface. Other data of the real-time data include intermediate calculation results and system operation parameters.
In one possible implementation, the resource fusion includes:
a resource fusion software and hardware platform is constructed based on the Internet of things, big data, artificial intelligence and cloud computing.
Constructing a cloud platform-based service, comprising: processing basic data; 2D and 3D modeling; building a mine water disaster case library; constructing a rapid identification model of mine water damage; and dynamically updating the mine roadway.
And integrating the constructed model, the file and the like to a command server and a drilling server of a dispatching center, wherein the storage mode comprises shared storage and independent storage of the command server and the drilling server.
And fusing the mining area database and the existing database.
Various sensors, personnel positioning information and the like in the pit are uploaded to a plurality of database servers of a dispatching center through an industrial ring network, after a command server or a drilling server acquires relevant data, relevant simulation analysis and prediction early warning are realized by combining a model, the data are visualized on an intelligent terminal or a display system, and various data and analysis results are reported to an upper-level department through a coal special network.
And updating the change, equipment, data and the like of the mine roadway space along with the excavation engineering.
In a possible implementation manner, the method further includes, before the occurrence of the water damage precursor, developing water damage risk evaluation and prediction, water diversion structure detection and prediction, virtual simulation and prediction of a process of flooding the underground mining space with a water damage accident, and generation of a corresponding countermeasure, including: evaluating and predicting the water hazard risk; detecting and predicting a water guide structure; virtual simulation and prediction of the inundation process; detection, inspection and auxiliary design of water prevention and rescue facilities; the detection, inspection and auxiliary design of the water prevention and rescue facility comprises the steps of supporting the layout of detection equipment, correcting an emergency escape scheme, inspecting the deployment of a main drainage system and inspecting the deployment of a local drainage system; and (4) based on the arrangement analysis of the mining area and the working face for water damage prevention and control, assisting the mining area arrangement or the working face arrangement.
In a possible implementation mode, the method further comprises the steps of carrying out grading early warning on the condition of reaching a threshold value through water inflow prediction, catastrophe early warning and water disaster accident hidden danger troubleshooting monitoring based on internet of things monitoring before the water disaster is formed after the mine water disaster precursor information appears, capturing the occurrence of the water disaster accident, and taking management and control measures; the method comprises the following steps: forecasting and early warning the water inflow; monitoring accident potential; carrying out grading early warning; and (5) managing and controlling accident hidden dangers.
In a possible implementation mode, the method further comprises the steps of rapidly judging and identifying the water damage, carrying out an escape and evacuation scheme of the personnel involved in the danger based on the danger evaluation of the underground personnel, and carrying out emergency treatment; the method comprises the following steps: rapidly judging and identifying; forecasting the water amount of the disasters; analyzing water damage information and spreading rules; risk evaluation of the personnel involved in the danger; optimizing escape evacuation; auxiliary design of water hazard disposal.
In a possible implementation manner, the method further includes, after the emergency rescue and disposal of the mine water damage is completed, if the mine water damage cannot be effectively controlled, so that the mine is submerged within a certain range, performing virtual simulation and design on a mine compound mine drainage scheme, and assisting in making a compound mine time, including: and (3) simulating a composite ore forced discharge scheme to predict a composite ore time table, or simulating a composite ore blocking-first and discharging scheme to predict a composite ore time table.
In a possible implementation manner, the method further includes, before the water damage occurs, a stage of simulating a prediction and prevention countermeasure: before a water inrush accident occurs, carrying out water hazard risk evaluation and prediction; carrying out three-dimensional reconstruction and prediction of a fault; combining with an exploitation plan, simulating the water inrush spreading process of different water inrush positions and different water inrush quantities, and deducing the submerged area and the process of the mine; and deducing a simulation result according to the water flow of the roadway and the mine submerging process, and deploying the water level sensor in the underground roadway.
One or more embodiments of the present specification provide a mine water disaster emergency management system, including:
the comprehensive mine water disaster prevention and control network is used for performing comprehensive mine water disaster prevention and control, and comprises a simulation prediction and precaution countermeasure stage before water disaster occurrence, a hidden danger investigation monitoring and early warning control stage, a rescue and emergency treatment stage before flooding after water disaster occurrence and a virtual simulation and design stage of a re-mine drainage scheme after flooding according to the periodic process of mine water disaster accident inoculation, formation, evolution and disaster formation;
the comprehensive mine water disaster prevention and control network comprises a simulation prediction and prevention countermeasure unit before water disaster, a hidden danger investigation monitoring and early warning management and control unit, a pre-well flooding emergency rescue and emergency disposal unit after water disaster and a virtual simulation and design unit of a complex mine drainage scheme after well flooding;
the water disaster pre-occurrence simulation prediction and prevention countermeasure unit is used for carrying out water disaster risk evaluation and prediction, water guide structure detection and prediction, submergence process virtual simulation and prediction, detection inspection and auxiliary design of water prevention and control and rescue facilities, and mining area and working face arrangement analysis based on water disaster prevention and control;
the hidden danger investigation monitoring and early warning management and control unit is used for carrying out water inflow amount prediction early warning, accident hidden danger monitoring, grading early warning and accident hidden danger management and control;
the emergency rescue and emergency disposal unit before flooding after water damage is generated is used for quick identification, disaster water quantity prediction, water damage information and spreading rule analysis, risk evaluation of personnel involved in the danger, escape and evacuation optimization and water damage disposal auxiliary design;
the virtual simulation and design unit of the compound mine drainage scheme after the well is flooded is used for simulating a compound mine forced drainage scheme or simulating a compound mine first blocking and then draining scheme;
the system comprises a simulation prediction and prevention countermeasure unit before water damage occurs, a hidden danger investigation monitoring and early warning management and control unit, a pre-well flooding emergency rescue and emergency disposal unit after water damage occurs and a virtual simulation and design unit of a re-mine drainage scheme after well flooding, wherein the simulation prediction and prevention countermeasure unit before water damage occurs, the hidden danger investigation monitoring and early warning management and control unit, the pre-well flooding rescue and emergency disposal unit after water damage occurs and the virtual simulation and design unit of the re-mine drainage scheme after well flooding perform data processing and decision generation in an application support environment in a resource fusion mode; the construction of the application supporting environment at least comprises the construction of a server, a sensor or a cloud platform.
One or more embodiments of the present specification provide an emergency management system for mine water damage, including:
the sensor module is used for acquiring mining area data and constructing a mining area database, wherein the mining area data comprises at least one type of data of personnel positioning data, aquifer water level monitoring data, mine drainage system monitoring data, gas monitoring data and other monitoring data established for safety production by mine enterprises.
The resource fusion server group is connected with the sensor module and used for acquiring mining area data from the sensor module, and the resource fusion server group is used for performing resource fusion and comprises: fusing the database of the resource fusion server group with the mining area database, generating early warning information according to the database of the resource fusion server group and the mining area database, uploading the information obtained by the sensor module to each database server of the dispatching center, updating the change of the mine roadway space along with the mining engineering, and drawing at least one of a real-time dynamic graph of monitoring data or an information graph layer.
The resource fusion server group also comprises a command server, a drilling server and a database server, wherein the command server and the drilling server perform mine water disaster simulation analysis and prediction early warning according to data in the resource fusion server group, and analysis results of the command server and the drilling server are uploaded through a special network.
It should be noted that the resource convergence server group may include multiple servers or multiple groups of servers. When the resource fusion server group performs resource fusion, the resource fusion can be completed through a plurality of groups of servers, each server in the plurality of groups of servers can manage different tasks, for example, the database server can be used for storing data related to mine environment information, the command server can be used for generating command decisions, and the drilling server can be used for disaster avoidance drilling when mine water damage occurs.
It should be noted that the resource fusion includes at least one process, which may be at least one of fusing the database of the resource fusion server group with the mine area database, generating early warning information according to the database of the resource fusion server group and the mine area database, uploading information obtained by the sensor module to each database server of the scheduling center, updating the mine roadway space along with the change of the mining engineering, and drawing a real-time dynamic graph of monitoring data or drawing an information graph layer.
On the other hand, multiple groups of servers may be connected to the central server, and the central server coordinates each server in the multiple groups of servers, so that each server operates in cooperation.
According to the mine water disaster emergency management system, the data of the mining area and the data of the resource fusion server group are fused through the resource fusion server group, so that the utilization rate of the data of different mine departments is improved, and the whole-process emergency management of mine water disaster accident prevention, decision-making assisting design, monitoring and early warning, emergency rescue treatment, emergency drilling and the like can be realized.
Next, a comprehensive control system for mine water damage will be explained.
As shown in fig. 1 and fig. 2, fig. 1 is a schematic diagram of an emergency management method and a system architecture for mine water damage in one or more embodiments of the present specification, and fig. 2 is a schematic diagram of mine water damage data division and indexes at different levels in one or more embodiments of the present specification.
Based on technical methods such as Internet of things, cloud computing and artificial intelligence, software and hardware application supporting environments such as visual simulation, GIS service, web service and big data service can be constructed, and 2D and 3D display functions of one picture can be realized, such as dynamic visualization and analysis of a roadway network model, a aquifer/coal bed model, mine water disaster related elements (monitoring equipment, water disaster spreading and personnel escape) and the like; and the data processing, storage access, intelligent calculation, simulation analysis and the like in the mine water disaster emergency management are supported. The remote access of multi-platform intelligent terminals (such as smart phones, tablet computers and the like) can be supported. The application support environment is an important support for building an integrated collaborative auxiliary design, simulation and intelligent optimization system.
The method has the advantages that resource fusion is carried out on various devices, multi-source data and heterogeneous systems, one picture of dynamic information resource based on IoT monitoring is established, various related resources of the mine are efficiently utilized, and data basis and scientific basis are provided for prediction early warning, simulation analysis and the like of mine water damage. Then, the whole life cycle process of the mine water disaster accident inoculation, formation, evolution, disaster formation and corresponding prevention and control strategies are divided into four stages, including: I. simulating, predicting and preventing a countermeasure before the water damage occurs; II, hidden danger troubleshooting monitoring and early warning management and control; emergency rescue and emergency disposal before flooding the well after water damage occurs; and IV, virtually simulating and designing a compound mine drainage scheme after flooding, establishing a comprehensive mine water disaster prevention and control system, and designing a mine water disaster emergency management system framework (as shown in figure 1).
Next, a method for realizing the above-described comprehensive control system for mine water damage will be exemplified.
Step 1: and (4) resource fusion.
Resource fusion is developed from three aspects:
in a first aspect, the devices are sensors related to the internet of things, a long sight hole, a video camera, network communication equipment, a server, an LED display screen and the like.
In a second aspect, data-source data (as shown in FIG. 2), as well as constructed 2D or 3D models, classes of brains integrated mining, and the like.
In the third aspect, the system comprises a communication connection system, a video image system, a monitoring and controlling system, an electromagnetic-micro-seismic coupling monitoring system, an emergency danger avoiding system, a personnel positioning system, a forced air self-rescue system, a water supply rescue system, a computer network system, a short message system, an information management system, a GIS system, a visual simulation system, a role management system and the like.
It should be noted that, as shown in fig. 2, the source data of the mine water damage data may be divided into several types of data, such as historical data and real-time data. This will be explained in detail below.
Historical data may include geological correlations, control water correlations, and other such components. Wherein:
geological correlations include: reports, drawings, and ledgers. The reports are geological exploration reports, coal mine geological type division reports and the like. The drawings are a stratum comprehensive histogram, an exploration drilling histogram, a return air and transportation horizontal geological section diagram and the like. The machine account is a coal seam thickness real (detection) measuring card, a machine account, a grouting/pre-grouting observation record machine account and the like.
The control water correlation comprises: reports, drawings, and ledgers. The report is a mine hydrogeology type report, a mine hydrogeology supplementary exploration report, a related result and the like. The drawings are a hydrogeology five-large drawing, a mine aquifer water level (pressure) diagram and the like. The machine account is a machine account for observation results of the water inflow of the mine, a machine account for observation results of surface hydrology and the like.
Others include: ventilation systems, production techniques and electromechanics. The ventilation system is a mine ventilation system diagram, a mine ventilation network diagram, a compressed air system diagram and the like. The production technology comprises the design of roadway pavement hardening, an excavation continuation planning map, a mine disaster avoidance route map and the like. The system comprises an electromechanical underground power supply system diagram, an underground electrical equipment arrangement diagram, an underground communication system diagram and the like.
Real-time data may include monitoring data, online data, and others. Wherein:
the monitoring data can be direct monitoring data based on the internet of things and the like, such as water level, water flow rate and flow, temperature, underground personnel positions and the like which are collected in real time.
The online data may be online data collected by various Application Programming Interfaces (APIs), such as weather, water conservancy, flood control, traffic, medical, remote sensing, and the like.
Others may be intermediate calculation results, system operating parameters, etc.
The concrete steps of the steps comprise:
step 101: a resource fusion software and hardware platform is constructed based on internet of things, big data, artificial intelligence, cloud computing and the like (as shown in fig. 3, fig. 3 is a schematic diagram of a resource fusion framework according to one or more embodiments of the present disclosure), and arrows in the diagram represent main data flows.
Step 102: and carrying out cloud platform service construction.
The cloud platform-based service mainly comprises the following steps:
the method comprises the steps of firstly, basic data processing, drilling, processing of related graphs (geological structure graphs, hydrogeological graphs, water filling graphs and the like) and accounts (water inflow accounts, hydrographic observation accounts, bad drilling hole sealing accounts and the like); and (4) building or connecting related databases such as geological conditions, hydrogeological conditions, mine personnel, conventional monitoring data and the like.
And secondly, performing 2D and 3D modeling, including roadway modeling, a goaf model, an aquifer conceptual model, a coal seam conceptual model, a fault model and the like.
And thirdly, establishing a mine water disaster case library.
And fourthly, constructing a rapid identification model of the mine water damage.
Service five, dynamically updating the mine roadway, realizing dynamic updating operation of the mine roadway space along with excavation, and updating related equipment, roadway water flow simulation data, mine water damage situation identification and other related data on the basis;
step 103: the built models, files and the like are integrated into a command server and a drilling server of a dispatching center, and the storage modes comprise shared storage (such as wfs service and wms service published by web, 3D roadway models and the like) and independent storage (such as case base, monitoring equipment information, pump and gate information and the like) of the command server and the drilling server, so that data redundancy is reduced, and quick access is supported.
Step 104: the fusion of the database is a relatively complicated work, and particularly needs to serve the real-time calculation of quick identification of water damage scenes in emergency treatment after water damage occurs, simulation of spreading and submerging of the water damage, intelligent optimization of escape and evacuation and the like. A multi-service architecture can be designed, databases independently built in all systems of a mining area are seamlessly integrated with databases supported by the system, data are directly butted, and compared with the traditional method that the data are stored in the same database, data redundancy and maintenance cost are reduced, and high information sharing of the data is realized.
Step 105: various sensors, personnel positioning information and the like in the pit are uploaded to each database server of a dispatching center through an industrial ring network, and after a command server or a drilling server acquires relevant data, relevant simulation analysis, prediction early warning and the like are realized by combining a model, and the data are visualized on an intelligent terminal or a display system. Various data and analysis results can be reported to the superior department through a coal special network.
Step 106: the mine roadway space changes along with the excavation engineering, and simultaneously, along with the regular updating of equipment, data and the like, the command server or the drilling server can support part to automatically complete the updating function; and other complex simulations (such as rapid identification model construction of mine water damage) need to be dynamically updated on a cloud platform, and one-key updating is provided on a command server or a drilling server through the Internet.
Step 2: before the water disaster precursor appears, the water disaster danger evaluation and prediction, the water diversion structure detection and prediction, the virtual simulation and prediction of the process of submerging the underground mining space by the water disaster accident, the corresponding precautionary countermeasure research and the like are carried out. The steps specifically include:
step 201: and (4) evaluating and predicting the water hazard risk.
Evaluating the risk of water inrush by utilizing a top plate 'three-figure-double prediction' method, a bottom plate vulnerability index method and the like; the analysis result of the mine water filling condition is highly integrated; in roof evaluation, evaluating the danger of water burst of a roof aquifer water source by integrating the water richness of the roof aquifer and the height of a roof water flowing fractured zone; in the evaluation of the bottom plate, selecting bottom plate water inrush main control factors from factors such as water pressure of a water-filled aquifer, water enrichment, development and filling degree of ancient weathering crust karst, effective thickness of an effective water-proof rock section and the like, a fault scale index, fault intersection points and end point distribution, fold axis distribution, collapse column distribution and the like, and comprehensively predicting and evaluating the water inrush risk of the water source of the mine bottom plate aquifer; the improvement of a water-filled aquifer or a water-resisting layer in a dangerous area is proposed to reduce the risk of water damage of a mine; can guide the development of various works of mine water disaster prevention and control.
Step 202: water conducting formation detection and prediction.
The detection of the water guide structure is to utilize tank waves, radio tunnel perspective, direct current electric method, transient electromagnetism and other geophysical prospecting means or underground directional drilling and other drilling means to pertinently detect and verify water guide structure and other mine water disaster hidden disaster-causing factors in the process of mine excavation and stoping, and support the research and deployment of prevention and control strategies before water damage occurs; the water guide structure prediction is that a prediction model is trained by using methods such as a machine learning algorithm and the like, based on spatial distribution and element characteristic data of structure development and underground exposed geological characteristics (data variations such as coal seam thickness, coal seam inclination angle, water inflow amount, gas water inflow amount, coal seam fracture form and the like) capable of predicting the development of a structure ahead of mining, and water guide structures which can exist ahead of a mining working face are dynamically pre-warned, so that detection work can be developed more pertinently; the proposal is to carry out grouting transformation on the area which can be communicated with the aquifer or can form a stronger water guide channel under the excavation condition so as to reduce the risk of water damage of the mine.
Step 203: submerging process virtual simulation and prediction.
The method comprises the steps of establishing a water disaster situation case by combining mine excavation activities and analyzing possible water disaster conditions of a mine on the basis of water disaster risk evaluation and prediction; simulating roadway water flow spreading processes of different water damage occurrence positions and different disaster water volumes by using a numerical method, and deducing and predicting the submerged area and process of the mine; constructing a three-dimensional model of an underground mining space, and realizing virtual simulation of a water damage accident development process; can provide more direct data base for various research works of mine water disaster prevention and control.
Step 204: detection, inspection and auxiliary design of water prevention and rescue facilities.
Under the conditions of normal water inflow and maximum water inflow, simulating and predicting a roadway water flow spreading process, and detecting and checking whether a main mine drainage system and a mining area or working face local drainage system can normally treat mine water inflow or not, and whether local water accumulation or even flooding of the roadway can be formed or not; then, in various water disaster scenes, simulating and predicting the submerging process of underground roadways and mining spaces, analyzing the disaster coping capacity of various water prevention and control and rescue facilities, and assisting in optimizing the design of deployment schemes, specifically comprising:
the method comprises the steps of detecting the drainage capacity and efficiency of a main drainage system and a local drainage system of a mining area or a working face of a mine, simulating and verifying the water damage coping capacity and the drainage efficiency under the conditions of deployment positions of local different drainage facilities and the allocation of the drainage capacity, screening an optimal scheme aiming at realizing higher drainage efficiency in various water damage scenes, and providing an optimized deployment suggestion.
Secondly, checking the effectiveness of the disaster avoidance route in various water disaster situations, and correcting the route which is not suitable for most water disaster avoidance requirements; in addition, with the aim of increasing the applicability of the disaster avoidance route, the feasibility of increasing the service of the contact roadway for escape and rescue is analyzed; an emergency escape scheme is formed on the basis.
Thirdly, supporting the layout of monitoring equipment, selecting positions allowed by electric power and communication as candidate points for the deployment of the monitoring equipment, and selecting a certain number of candidate points to deploy the monitoring equipment according to the shortest monitoring response time and the highest sensitivity as decision basis;
the step is the subject content of the precautionary countermeasure research before mine water damage occurs.
Step 205: and (4) mining area and working face arrangement analysis based on water damage prevention and control.
According to the evaluation and prediction results of the water damage risks, the deployment of mining areas and working faces in areas with higher risks should be cautious, and stronger water damage prevention and control facilities need to be equipped. The development of the mine flooding process under the conditions of different excavation and stoping schedules can be analyzed on the basis of the existing roadway deployment design, and reasonable excavation and stoping schedules are suggested by taking the minimum occurrence probability and the minimum loss after the occurrence of mine water damage as targets; is one of the contents for providing geological guarantee and safety guarantee for mine production.
And step 3: monitoring, early warning and controlling the water disaster hidden danger of the mine.
Before water damage is formed after mine water damage precursor information appears, grading early warning is made on the condition of reaching a threshold value through water inflow prediction, catastrophe early warning, water damage accident hidden danger troubleshooting monitoring and the like based on IoT monitoring, the water damage accident occurrence is quickly captured, meanwhile, effective management and control measures are taken, and mine water damage hidden danger monitoring, early warning and management and control integrated management is achieved. The method comprises the following specific steps:
step 301: forecasting water inflow and carrying out catastrophe early warning.
The method can be used for utilizing the most direct warning information of the water damage of the mine, namely the mine well kick and the water discharge, reproducing the process of the mine well kick and the water discharge by utilizing a numerical simulation technology on the basis of long-term monitoring of the mine well kick and the water discharge, analyzing the change rule of the mine well kick and the water discharge, predicting the change trend of the water inflow, and forecasting and early warning catastrophe time and scale; the early warning method is an important component of the mine water damage grading early warning;
step 302: and (5) monitoring accident potential.
The method can be used for monitoring water disaster premonition information (aquifer water level, surface hydrology, working face water pressure, water quality, temperature and humidity change, surrounding rock stress field, geophysical field, top and bottom plate displacement change and the like) in various aspects such as hydrogeological conditions, geological conditions, mining environment and the like, and early warning is carried out when a monitoring value exceeds a threshold value or suddenly changes; further analyzing the states and the change characteristics of a mine water filling source (comprising aquifer water, old kiln water and the like) and a water filling channel (comprising natural channels such as a punctiform karst collapse column channel, a linear fracture zone channel, a narrow strip-shaped hidden outcrop channel, a planar fracture network channel, an earthquake channel and the like, and artificial channels such as a roof collapse fracture zone channel, a pumping zone and the like), and early warning the condition that the conditions of the water filling source and the water filling channel can be simultaneously met; the method is an important component of water damage early warning and an important basis for hidden danger control;
step 303: and (5) grading early warning.
On the basis of monitoring the hidden dangers of various mines, setting early warning threshold values of monitoring equipment according to the data change rule of the monitoring equipment of various systems, and constructing early warning of the monitoring equipment and early warning of a single system; on the basis of early warning of monitoring equipment and early warning of a single system, long-term monitoring data of each monitoring system and a mine well kick and drainage numerical simulation technology are utilized to construct mine water disaster monitoring big data, mine water disaster precursor information is deeply excavated, and positive correlation and inverse correlation of each monitoring system are analyzed and modeled to form a comprehensive early warning model of each monitoring system; then, the webGIS technology is utilized to display the early warning information at the web end in a centralized mode, and a mine water disaster monitoring and early warning system is constructed; constructing an early warning information issuing system according to the early warning information, and issuing a notice to related personnel in the forms of broadcast extension, short message and the like; 2D/3D visual display of the position of the monitoring equipment and dynamic display of monitoring data are realized in an interactive mode; under the condition of triggering early warning or judging the occurrence of water damage, intelligently displaying related data around the abnormal monitoring equipment to serve for analysis and decision of mine water damage; the method is a comprehensive treatment of various monitoring and early warning methods and means, forms a three-level grading early warning system of early warning of monitoring equipment, early warning of a single system and comprehensive early warning, realizes the functions of dynamically displaying and releasing early warning information and the like, and serves for implementation of subsequent mine water damage prevention and control means.
Step 304: and (5) managing and controlling accident hidden dangers.
After the early warning of the water damage is issued, the disaster-causing hidden danger is identified, and a targeted control measure is formulated to prevent the occurrence of the serious water damage, such as: checking the effectiveness of the water prevention and drainage system and evaluating the disaster resistance of the water prevention and drainage system; according to the early warning level, making a corresponding water damage disposal scheme by using prevention and control measures such as prevention, blockage, dredging, draining and interception so as to restrain the increase of the amount of the water caused by the disaster and control the spread of the water damage; and after the hidden danger of water damage is eliminated, the early warning of the mine is released.
And 4, step 4: and carrying out emergency treatment when mine water damage occurs.
Under the condition that the hidden danger of the mine water disaster can not be effectively controlled, the mine water disaster is gradually formed, the rapid identification is combined at the moment, the water disaster spreading and submerging simulation analysis is realized, the intelligent optimization escape evacuation of the personnel involved in the danger is carried out based on the danger evaluation of the personnel in the pit, and the related work of emergency disposal is carried out, and the specific steps comprise:
step 401: and (6) rapidly judging.
On the basis of carrying out virtual simulation and prediction on the underground mining space submergence process aiming at the possibly occurring mine water damage, a machine learning method (a hierarchical clustering method, a random forest method and the like) is utilized for analysis, a mine water damage rapid identification model is established, and water damage information (water damage occurrence position, water damage water source and disaster water quantity) can be obtained through identification on the basis of monitoring data. On the other hand, the water filling source identification is carried out by using the chemical properties of the water such as smell, color, ion concentration and the like, and the joint identification analysis of the water damage information is formed. The rapid emergency response of the mine water damage can be realized, and meanwhile, data support can be provided for the prediction of the water quantity of the disaster.
Step 402: and (5) forecasting the water amount of the disaster.
Combining drilling, geophysical prospecting, chemical prospecting results, water damage spreading monitoring and quick identification results, further defining a water source and a water diversion channel of water damage, analyzing and researching the time-varying rule of relevant hydraulic parameters of the water diversion channel by using the dynamic change characteristics of the water source filled with water and the current disaster water quantity, and predicting the water burst quantity of the water-bearing stratum of the top and bottom of the mine and the water penetration quantity of the old air water by using methods such as numerical simulation, regression analysis, neural network and the like; the method can supplement the water disaster situation to quickly judge and recognize the result, provide more accurate water disaster information, and support the emergency rescue and disposal of the mine water disaster.
Step 403: and analyzing water damage information and spreading rules.
The simulation and prediction of the submergence process of the underground mining space are corrected in a self-adaptive and real-time manner by integrating the rapid identification and the disaster water amount prediction result and combining the monitoring data; and a direct data basis is provided for emergency rescue and disposal, complex mine scheme design and other works.
Step 404: and (4) evaluating the risk of the personnel involved in the danger.
On the basis of the simulation result of mine water disaster spreading and flooding, the individual characteristics of miners are combined to evaluate the risk of the miners in the risk-involved process, and the safe escape speed is calculated; the realization of escape and rescue of people can be optimized due to the people disaster, people can be supported to perform real-time escape calculation, and a basis is provided for the optimization design of an emergency escape scheme.
Step 405: escape and evacuation are intelligently optimized.
Can carry out intelligent optimization evacuation of fleing. On the basis of the calculation of the safe escape speed of the personnel, the escape suggestion and the optimized escape route planning of the personnel are realized in a targeted manner based on an enhanced heuristic intelligent search algorithm, and the escape path is dynamically optimized according to the self-adaptive adjustment of the spreading process of the water disaster and the actual escape process of the personnel involved in the danger and is issued in real time through a broadcast expanding system, short messages, a web network and the like; the escape and rescue due to the human disaster can be realized.
Step 406: auxiliary design of water hazard disposal.
The mine water disaster spreading and flooding simulation achievement is combined, the mine drainage capability and the retaining wall are optimized and deployed to restrain the mine water disaster spreading; for the channel-type water disaster accident of the point-shaped karst collapse column, a grouting method is adopted to plug the water disaster occurrence position so as to effectively reduce the water amount of the mine disaster, control the development of the mine water disaster and guarantee the escape and rescue of personnel.
And 5: and after the mine water disaster emergency rescue and disposal are finished, performing subsequent treatment.
After the mine water disaster emergency rescue and disposal are completed, if the mine water disaster cannot be effectively controlled, a certain range of a mine is submerged, virtual simulation and design of a mine complex mine drainage scheme are required, and complex mine time is formulated in an auxiliary manner, and the method comprises the following specific steps:
step 501: simulating a complex ore forced discharge scheme, and predicting a complex ore time table: when the water amount of the disaster is not large and the water supply source is not sufficient, the production can be recovered by enhancing the drainage capacity of the mine and pumping and draining the accumulated water; the method includes the steps that predicted disaster water amount is used as boundary conditions, the change processes of the water depth and the submerging range of accumulated water in each position of a mine under different forced drainage conditions are simulated, the implementation effect of a forced drainage scheme is checked and compared, and suggestions are provided for optimizing the layout of a drainage system; meanwhile, according to the simulated roadway water flow spreading flooding condition at each moment, the recovery engineering of each system of the mine can be arranged, and a reasonable re-mining time table can be formulated.
Step 502: simulating a blockage-before-discharge scheme of the complex ore, and predicting a complex ore schedule: when the disaster water amount is large and the supply water source is abundant, a grouting water plugging scheme can be established and implemented, and drainage recovery production is performed at the same time; on the basis that monitoring equipment records roadway water flow data in real time, the current disaster water amount is calculated by using a numerical method in an inversion mode to check the grouting water plugging effect and provide a basis for making the next grouting engineering design; similarly, the mine side can arrange recovery projects of all systems of the mine according to the simulated roadway water flow spreading flooding condition at each moment, and formulate a reasonable re-mining schedule; the method is a comprehensive application of various technical means of a comprehensive mine water disaster prevention and control system, and is also a test for mine water disaster monitoring, prediction and auxiliary design capability.
And 6: and carrying out system evaluation after mine compound mining is completed.
After mine recycling is completed, the functional models of participators (commanders, underground workers, rescuers and the like), equipment (monitoring equipment, rescuing equipment and the like) and the system in the mine water disaster process can be evaluated, and a basis is provided for monitoring and early warning of mine water disaster accidents in the later period and improving the emergency handling capacity
With the advance of the mining working face, each stage needs to dynamically simulate and optimize again according to the dynamic update result in the resource fusion. On the other hand, emergency drills such as field drills, simulation drills, mixed drills and the like can be performed, and drills for all links of mine emergency rescue are realized.
Next, an implementation of the above steps will be exemplified.
Step S1: and analyzing the position, stratum, structure and the like of the mining area, combining the data of mining progress, geological conditions, hydrogeological conditions and the like of the mining area, and fusing resources on the basis of analyzing and utilizing equipment, data and systems of the mine. The main method for mine resource fusion is as follows:
step S101: the mine water disaster emergency management system 100 is constructed as shown in fig. 3, and arrows in the figure represent main data flows. The method comprises the steps of basic data processing, 2D and 3D modeling, mine water damage case base establishment, mine water damage rapid identification model establishment and the like based on a cloud platform.
It should be noted that the mine water disaster emergency management system 100 in fig. 3 includes a command server 101, a drilling server 102, and a database server 103, where the command server 101 and the drilling server 102 perform mine water disaster simulation analysis and prediction early warning according to data in the resource fusion server group, and analysis results of the command server 101 and the drilling server 102 are uploaded through a dedicated network.
The mine water disaster emergency management system 100 fuses the data of the mining area and the existing data through the resource fusion server group, so that the utilization rates of data of different sources, different periods and different structures are improved, and the whole-process emergency management of mine water disaster accident prevention, decision design assistance, monitoring and early warning, emergency rescue treatment, emergency drilling and the like can be realized.
It should be noted that the intelligent terminal in fig. 3 may have data processing capability or a device with a processor, or may be an intelligent device such as a PC, a mobile phone, and the like, and the intelligent terminal in this specification is the same as this, and will not be described in detail again.
Step S102: the constructed models, files and the like are integrated into the command server 101 and the drilling server 102 of the dispatching center. The storage manner of the storage device 104 includes shared storage (such as wfs service and wms service published by web, 3D tunnel model, etc.) and respectively independent storage (such as case base, monitoring device information, pump and gate information, etc.) of the command server 101 and the drill server 102, so as to reduce data redundancy and support fast access.
Step S103: a multi-service architecture is designed, a database (such as sql server, mySQL and the like) of a mining area is fused with an existing database (such as PostgreSQL) of the mine water disaster emergency management system 100, and data are directly connected.
By the method, data redundancy and maintenance cost can be reduced, and high information sharing of mining area data is realized.
It should be noted that the command server 101 mainly uses the database of the mining area to support the forecast and early warning before water damage occurs, and combines with the database of the mine water damage emergency management system 100 to support the emergency treatment after water damage occurs. For different emergency drills such as emergency command, field drill, simulation drill, and hybrid drill, the data of the corresponding databases are provided to the command server 101 and the drill server 102 respectively as shown in table 1:
TABLE 1
By the method, the fusion of complicated databases can be completed, and the method is also suitable for real-time calculation such as rapid identification of water disaster scenes, spreading and flooding simulation of water disasters, intelligent optimization of escape and evacuation and the like in emergency treatment after the water disasters occur in each stage needing to be served.
Step S104: various sensors, personnel positioning information and the like in the pit are uploaded to each database server of a dispatching center through an industrial ring network, after relevant data are obtained by the command server 101 and the drilling server 102, relevant simulation analysis, prediction early warning and the like are achieved by combining a model, and visualization is achieved on an intelligent terminal or a display system. The analysis result can be reported to the upper-level department through the coal private network 105.
Step S105: the mine roadway space changes along with the excavation engineering, and meanwhile, the functions of partial automatic completion are realized along with the regular updating of equipment, data and the like. For example, the conductor server 101 and the drill server 102 may provide support. For another example, for a complex simulation (e.g., determination of water disaster in a mine, etc.) requiring dynamic update operation on a cloud platform, the server 101 and the drilling server 102 may be directed to provide one-touch update through the coal-dedicated network 105.
Step S106: performing display analysis for resource fusion
FIG. 4 is a schematic diagram of a resource fusion effect according to one or more embodiments of the present disclosure. It should be noted that fig. 4 is only schematically illustrated, and even though not shown in fig. 4, in an actual application, a suitable color and shape may be selected according to actual needs to illustrate the resource fusion analysis result that needs to be illustrated. This step may include:
step S1061: a left side column and a right side column may be provided. The left side column is a real-time dynamic graph drawing area of the monitoring data and places key dynamic data change conditions needing long-term observation. The right column is the loading control of a graph component element layer, and controls the display or hiding of the fusion element.
Step S1062: through interactive single-selection or multiple-selection of each item in the right side bar, the central area displays a roadway layer (for example, a linear network gradually changing from blue to red can be used, the roadway water depth is depicted as shallow and deep, and is indicated in this way), an aquifer thickness layer (for example, a red-green-blue gradually changing area can be used for indicating), a roadway water flow monitoring device layer, a long sight hole monitoring device and hydrology Kong Tuceng, a river layer (for example, a green south-north linear element can be used for indicating) and an identification thereof, a goaf layer (for example, an orange square area can be used for indicating) and an identification thereof, a person position (for example, a small dot and other symbols can be used for indicating) and other information.
Step S1063: the right side fence integrates the evaluation result of the water disaster danger of the mine; IOT monitoring equipment data such as water flow and personnel positioning of an aboveground long observation hole and an underground roadway; excavation data such as roadways, goafs and the like; data of mine water damage prevention and control related facilities such as pumps, gates and the like; rescue related facility data such as flood disaster avoiding routes, water supply rescue, forced air self rescue and the like; geological data such as boreholes, faults, etc.; hydrogeological data of rivers, hydrographic holes and the like; roadway water flow spreading and other mine water damage identification results and other data; and the loading of maps such as satellite image maps and administrative division maps can be controlled, and the underground contrast display is realized.
Step S1064: all data elements can be displayed and inquired in a layer overlapping mode, and meanwhile, monitoring data can be dynamically mapped to realize real-time monitoring.
Step S2: and carrying out analog prediction and prevention countermeasures before water damage occurs.
As shown in fig. 5 (a) to 5 (e), fig. 5 (a) to 5 (e) are schematic diagrams of the simulation prediction and prevention countermeasure before water damage occurs according to one or more embodiments of the present disclosure, and the steps may include:
step S201: before a water inrush accident occurs, first, a water inrush risk evaluation is performed (as shown in fig. 4).
Step S202: performing three-dimensional reconstruction and prediction of a fault, which may include:
step S2021: collecting and processing fault data of the mine to form an shp file so as to provide a 'one-figure' display at the front end of a web; meanwhile, the method is used as a basis for 3D fault modeling.
Step S2022: the interpolation points for the faults are calculated using equation (1) based on the fault attribute data table (as shown in table 2) in combination with the 2D fault layer data from the shp file.
In the formula (1), a fault line is defined by a point set (p) 1 ,p 2 ,...,p n-1 ,p n ) Composition of h i Is p i Displacement of points, where i ∈ {1,2, …, n-1,n }; the maximum displacement H is located in the middle of the fault line, and v is set 1 And v n Respectively correspond to p 1 And p n The fade-out point of (1), then (d) 1 Is from p 1 To v 1 Distance of d n Is from p n To v n A distance of d 1 N is selected from p 1 To p n The distance of (c).
Note that the first column in table 2 is a fault attribute table, and can be understood as a storage table stored in a computer, and the meaning represented by each variable name in the first column may be the meaning represented by its english alphabet, may be understood according to the related art, or may be selected according to actual needs.
TABLE 2
Step S2023: integrating the originally collected fault points and interpolation points, and forming a TIN (Irregular triangular network structures) model of the fault by adopting a triangulation method.
Step S2024: and carrying out fault analysis.
And (5) displaying a TIN (triangulated irregular network) model distribution diagram (shown in (a) of figure 5) of the local ore partial fault on a browser side by adopting a webgl technology, and using the TIN model distribution diagram as basic data of fault prediction.
S203: and (d) carrying out simulation of water inrush spreading processes of different water inrush positions and different water inrush quantities by combining with a mining plan, and deducing the submerged area and the process of the mine, wherein the water flow spreading distribution in the roadway at 3 moments (5 min, 1h and 2h after disaster) under the condition of maximum water pumping and discharging quantity is shown in fig. 5 (b) to 5 (d).
S204: deducing a simulation result according to roadway water flow and a mine flooding process, researching an emergency facility multistage coverage site selection robust optimization method with limited service capability under the situations of sharing uncertain demand and interruption based on an optimized site selection model and considering uncertain demand and emergency facility multistage coverage response, and realizing deployment of a water level sensor in an underground roadway, wherein a monitoring equipment deployment scheme for monitoring mine water damage within 30min is shown in fig. 5 (e).
And step S3: and (4) carrying out investigation and control on the hidden danger of water damage of the mine.
The mine water disaster monitoring equipment which is optimally deployed in the previous stage and the real-time data of various other sensors which are acquired based on the Internet of things can be used for forecasting and early warning before water inrush disasters such as mine kick/drainage monitoring simulation early warning, grading early warning and the like occur; and carrying out mine water damage hidden danger investigation and management and control on the basis of expectation.
Step 301: and monitoring and early warning of the hidden danger of the mine water damage are carried out in real time.
As shown in fig. 6 (a) to 6 (b), fig. 6 (a) to 6 (b) are schematic diagrams of investigation, monitoring and early warning of hidden danger of water inrush accident according to one or more embodiments of the present disclosure.
Fig. 6 (a) shows the distribution of the roadway water depth monitoring equipment and the hidden danger monitoring equipment such as long sight holes and videos and the real-time monitoring of key positions. Fig. 6 (b) is a hierarchical pre-warning illustration diagram, which establishes a hierarchical pre-warning system with three levels of monitoring device pre-warning, single system pre-warning and comprehensive pre-warning, wherein the monitoring data of the device (such as a water level sensor) exceeding the threshold value is displayed in a hierarchical manner according to different colors, and the instantaneous change rate exceeding the threshold value is displayed in a flashing pre-warning manner.
On the other hand, after the graded early warning is issued, the short messages are automatically sent to different departments and related responsible persons at the first time; and carrying out statistical analysis on the real-time data and the historical data of the monitoring points.
Fig. 7 is a schematic diagram illustrating a mobile device side access effect according to one or more embodiments of the present disclosure. The information can be remotely accessed at any time through an intelligent terminal such as a mobile phone, a tablet and the like (the left side of the figure 7 is shown as an operation interface, and the right side of the figure 7 is shown as an underground information schematic diagram during access), so that the information is ensured to be quickly and smoothly accessed. The realization of the monitoring and early warning function can provide a targeted decision basis for the management and control of the water damage hidden danger of the mine, and meanwhile, the realization of the monitoring and early warning function can also serve the further water damage prevention and control work such as the rapid judgment and the like of the water damage of the mine.
S302: after the hidden danger of the mine water damage is monitored, hidden danger troubleshooting and management control are carried out, if the hidden danger information describes normal change of the underground environment, if the mine water burst is increased normally, the current state is accepted as the normal state, and the hidden danger troubleshooting can be finished by clicking a hidden danger eliminated button; if the hidden danger information is in an abnormal state, mine water damage prevention and control means such as prevention, blockage, dredging, discharging and intercepting need to be implemented, and after the hidden danger is eliminated, the hidden danger elimination button can be clicked to complete mine water damage hidden danger control and management
And step S4: after early warning, an emergency command system is started to realize emergency rescue and emergency treatment.
As shown in fig. 8 (a) to 8 (c), fig. 8 (a) to 8 (c) are schematic diagrams of the identification and propagation simulation in one or more embodiments of the present disclosure.
After the early warning, the emergency command system is started to realize emergency rescue and emergency treatment, and the method can comprise the following steps:
step S401: on the basis of integrated monitoring data, water inrush information is obtained by using a rapid identification technology, as shown in fig. 8 (a), the water inrush position can be rapidly identified according to data monitored by a water level sensor, or related information is obtained according to video or personnel report, and the water inrush amount and the change rule thereof are further identified.
Step S402: on the basis of the quick identification result, quickly looking up related information near the water inrush position, for example, fig. 8 (b) shows the positions of personnel near the water inrush position, monitoring equipment and the like; simulating and displaying the flowing and spreading process of the water inrush of the mine in the roadway and the goaf (figure 8 (b)), and predicting the spreading range of the water inrush in the roadway after a certain time in the future, for example, depicting the roadway water flow spreading condition after 2 hours in figure 8 (c).
The method for indicating the roadway water flow spreading condition can comprise the following steps:
step 4021: and selecting a certain row in the judgment result table, and displaying the current mine submerging range of the water inrush situation corresponding to the row.
Step 4022: through clicking the function of displaying/hiding the periphery of the water inrush point, the information such as the position of personnel near the water inrush position, monitoring equipment and the like is displayed or hidden; by clicking "show/hide water inrush point and range", the water inrush point and its range circle are shown or hidden.
Step 4023: the time of the mine inundation range to be shown is input in the input box, and the mine inundation range within a given time after the current time can be shown by clicking the 'display' button.
Step 4024: clicking 'start real-time correction', recalculating the development rule of the mine submerging range by using the predicted disaster water amount on the basis of a certain scene, naming a new scene name, and displaying the new scene name in an identification result list; clicking "end real-time correction" can end the real-time correction calculation of a certain scene.
Step 4025: and clicking a button for designating the water inrush point can realize that the change rule of the mine inundation range is predicted on the basis of the water inrush point and the predicted disaster water quantity, and the new scene name is named and displayed in the judgment result list.
Step S403: auxiliary design of water damage disposal.
Fig. 9 is a schematic view of an auxiliary design scheme for water damage disposal according to one or more embodiments of the present disclosure, as shown in fig. 9.
Through the steps, the auxiliary design of water damage disposal (figure 9) can be carried out on the basis of revealing the mine flooding process, and in figure 9, the left column sequentially controls the current roadway water flow information display, the judgment and identification result, the test scheme and the disposal scheme from top to bottom; the water damage disposal means for optimizing and deploying mine drainage capacity, retaining walls and the like comprises the following steps: adding a drainage pump, and inputting different drainage capacity parameters according to different models and power of the pump; additionally arranging the retaining wall, and setting different height parameters of the retaining wall according to the water flow characteristics and the construction capacity so as to rapidly restrain the development of water damage. The method can be realized by the following steps:
step 4031: and the system judgment result column automatically displays the judgment result.
Step 4032: and selecting a certain row in the judgment result as the current mine submerging range for calculation, wherein the submerging range is displayed on the right side of the graph at the same time.
Step 4033: the system can automatically create an empty scheme in the scheme making column, or can create a new scheme through a button 'new scheme', and delete the scheme by using the button 'delete scheme'.
Step S4034: the treatment scheme can be edited, modified and saved by clicking the 'increase pump', 'increase retaining wall', 'reset scheme' and 'save scheme', and then virtual simulation calculation can be carried out on the scheme by clicking the 'start calculation' button.
Step S4035: after the calculation is completed, the system will add the calculation result to the column of "test plan", click on a certain line in the column, and the mine flooding scope in the case of implementing the treatment plan can be shown in the right diagram.
Step S4036: different schemes can be established on the basis of the abrupt water penetration situation in different identification results, the mine inundation range after the disposal scheme is implemented is simulated and calculated, and the optimal scheme is selected for specific implementation.
Step S404: the information such as the number, the position and the like of underground personnel can be obtained in real time through the personnel positioning system, and the risk evaluation of the risk involved process is carried out by combining the individual characteristics of miners.
Fig. 10A is a three-dimensional view implementation flow of roadway elevation, water depth, flow rate and danger according to one or more embodiments of the present disclosure, as shown in fig. 10A.
Js engine based development of comprehensive display function of roadway water depth, flow rate, danger and elevation, the method comprises the following specific steps:
step S4041: initializing a Scene, a Camera, a Renderer, a Roadway model Roadway geometry and a Color bar chart Color bar.
Step S4042: and updating water depth, flow speed and danger data of the roadway.
Step S4043: and updating the color of the roadway model according to the color bar chart corresponding to each data value range.
Step S4044: the scene is re-rendered with frame frequency.
Fig. 10B is a schematic diagram of three-dimensional views of the elevation, the depth of water, the flow rate and the risk of the roadway according to one or more embodiments of the present specification, which shows water flow spreading conditions such as the elevation, the risk of the roadway, the depth of water in the roadway, the flow rate, and the like of the three-dimensional underground roadway, and the calculation result shows: in the area with lower roadway elevation and closer to the water inrush point, the water flow is deeper; the water flow rate of the roadway with the larger gradient is larger; areas with greater water depth or flow rate are more dangerous.
Step S405: personnel escape suggestions and optimized escape route planning.
Fig. 11 is a schematic view of evacuation during escape according to one or more embodiments of the present disclosure, and fig. 11 (a) to 11 (c) are enlarged schematic views of each part in fig. 11 (it should be noted that fig. 11 is a schematic view of an overall interface, and the enlarged schematic views of each part can be seen in fig. 11 (a) to 11 (c)). The personnel escape suggestion and the optimized escape route planning can be realized based on an intelligent search algorithm. Fig. 11 (a) shows the position information of the downhole person and the statistical information of escape, recommended escape, non-recommended escape and normal person. Different forms of symbols may be used to illustrate different information. For example, an orange dot may be used to indicate a normal person, a red dot may be used to indicate that an evacuee is advised, a green dot may be used to indicate that an evacuee is being evacuee, and a purple dot may be used to indicate that an evacuee is not advised.
In fig. 11 (b), a dot (for example, a blue dot may be used for illustration) represents a selected person, and an evacuee is also in progress, and the evacuee path can be viewed (for example, a red broken line may be used for illustration).
The above steps may include the steps of:
step S4051: the system can automatically calculate and suggest the evacuee and perform coloring.
Step S4052: according to the analysis of the commander in the field, the evacuees suggested to be added can be selected first, the selected evacuees can be added to the suggested evacuees through the buttons of "adding the suggested evacuees", and the suggested evacuees selected automatically and interactively at present can be emptied through the buttons of "emptying the suggested evacuees" (as shown in fig. 11 (c)).
Step S4053: after the system automatically selects and the human interaction selects to jointly determine the recommended escape personnel, the recommended personnel optimization escape path calculation is implemented through a button 'start escape calculation', and the system automatically issues an escape instruction after the calculation is completed (as shown in fig. 11 (c)).
Step S4054: after the calculation of the optimized escape path is completed, the escaped personnel are selected, and the escape path can be displayed;
step S4055: after the escape personnel begin to escape, the system can automatically judge whether the personnel escape according to the optimal escape path according to the position of the personnel, and if the personnel deviate from the path, the system can automatically plan the path for the personnel again and issue an instruction.
Step S4056: by selecting any person, the button 'no-suggestion evacuee' is used as a disposal person for water damage in the well, the personnel do not participate in the automatic calculation process of the system any more, the button 'emptying no-suggestion evacuee' is used, and the currently interactively selected no-suggestion evacuee is emptied.
Step S5: if the treatment in the last stage is not enough to control the water damage of the mine, further analyzing a water filling source of the mine and predicting the amount of the disaster water; after analysis, a plug-before-drain protocol was taken.
Fig. 12 (a) to 12 (d) are schematic diagrams illustrating the effect of the mine multiple-mine first-blocking and then-discharging scheme according to one or more embodiments of the present disclosure. As shown in fig. 12 (a) to 12 (d), the mine water filling source is analyzed to predict the amount of the disaster water; after analysis, taking a plug-before-drain scenario may include:
step S501: before grouting and water plugging, the mine flooding range is as shown in fig. 12 (a), and the amount of disaster water is estimated to be 300m 3 About/min, grouting and water plugging must be carried out firstly; after the grouting water plugging is carried out, the water quantity of the disaster is remarkably reduced to 5m 3 Around/min, the mine flooding range is shown in fig. 12 (b).
Step S502: at the moment, a drainage pump is arranged for drainage operation, and the total drainage capacity is 1500m 3 About/h; after 8h of drainage, the roadway with shallow accumulated water in the north of the mine is basically drained, and the mine submerging range is shown in fig. 12 (c).
Step S503: after the continuous drainage for 72 hours, the deep laneways with accumulated water in the south of the mine are basically drained, and the accumulated water in the mine mainly exists in the mining area water sump and the central water sump, as shown in fig. 12 (d), the mine complex mine drainage operation is completed.
Similarly, different schemes of first and second discharging can be set according to different water plugging and grouting effects and conditions of underground power supply and drainage pump equipment, implementation effects of the schemes are predicted, comparison and research are carried out, and finally a scheme of first plugging and second discharging is selected for implementation.
One or more embodiments of the present specification also provide an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the method in any of the above embodiments is implemented.
One or more embodiments of the present specification also provide a non-transitory computer-readable storage medium, characterized in that the non-transitory computer-readable storage medium stores computer instructions for causing a computer to perform the method as in any of the above embodiments.
It should be noted that according to one or more embodiments of the present specification, a mine water disaster emergency management platform may be built, and a hardware support environment required by a workflow of the mine water disaster emergency management platform or the mine water disaster emergency management platform may be obtained according to one or more embodiments of the present specification.
The technical carrier involved in payment in the embodiments of the present specification may include Near Field Communication (NFC), WIFI, 3G/4G/5G, POS machine card swiping technology, two-dimensional code scanning technology, barcode scanning technology, bluetooth, infrared, short Message Service (SMS), multimedia Message (MMS), and the like, for example.
The biometric features related to biometric identification in the embodiments of the present specification may include, for example, eye features, voice prints, fingerprints, palm prints, heart beats, pulse, chromosomes, DNA, human teeth bites, and the like. Wherein the eye pattern may include biological features of the iris, sclera, etc.
It should be noted that the method of one or more embodiments of the present disclosure may be performed by a single device, such as a computer or server. The method of the embodiment can also be applied to a distributed scene and is completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may perform only one or more steps of the method of one or more embodiments of the present disclosure, and the devices may interact with each other to complete the method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, the functionality of the modules may be implemented in the same one or more software and/or hardware implementations in implementing one or more embodiments of the present description.
The apparatus of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Fig. 13 is a schematic diagram of a hardware structure of an electronic device according to one or more embodiments of the present disclosure, and fig. 13 shows a more specific schematic diagram of a hardware structure of an electronic device provided in this embodiment, where the electronic device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component within the device (not shown) or may be external to the device to provide corresponding functionality. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present device and other devices. The communication module can realize communication in a wired mode (for example, USB, network cable, etc.), and can also realize communication in a wireless mode (for example, mobile network, WIFI, bluetooth, etc.).
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
Computer-readable media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the spirit of the present disclosure, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present description as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures, for simplicity of illustration and discussion, and so as not to obscure one or more embodiments of the disclosure. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the understanding of one or more embodiments of the present description, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the implementation of one or more embodiments of the present description (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that one or more embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures, such as Dynamic RAM (DRAM), may use the discussed embodiments.
It is intended that the one or more embodiments of the present specification embrace all such alternatives, modifications and variations as fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit or scope of the disclosure are intended to be included within the scope of the disclosure.
Claims (6)
1. A mine water disaster emergency management method is characterized by comprising the following steps:
carrying out comprehensive prevention and control on mine water disasters, wherein the comprehensive prevention and control on the mine water disasters comprises a simulation prediction and precaution countermeasure stage before water disasters occur, a hidden danger investigation monitoring and early warning control stage, a rescue and emergency treatment stage before flooding after the water disasters occur, and a virtual simulation and design stage of a re-mine drainage scheme after flooding according to the periodic process of inoculation, formation, evolution and disaster formation of mine water disasters;
carrying out water hazard risk evaluation and prediction, water diversion structure detection and prediction, virtual simulation and prediction of a submergence process, detection and auxiliary design of water prevention and control and rescue facilities, and mining area and working surface arrangement analysis based on water hazard prevention and control in a simulation prediction and prevention countermeasure stage before water hazard occurs;
carrying out water inflow amount prediction early warning, accident potential monitoring, grading early warning and accident potential management and control in a potential hazard troubleshooting monitoring and early warning management and control stage;
in the emergency rescue and emergency disposal stage before flooding after water disaster, rapid identification, disaster water quantity prediction, water disaster information and spreading rule analysis, risk evaluation of personnel involved in the disaster, escape and evacuation optimization and water disaster disposal auxiliary design are carried out;
performing simulation of a complex mine forced drainage scheme or simulation of a complex mine blocking-first and drainage scheme at a virtual simulation and design stage of the complex mine drainage scheme after the well is flooded;
the simulation prediction and prevention countermeasure stage before the water disaster occurs, the hidden danger investigation monitoring and early warning management and control stage, the emergency rescue and emergency disposal stage before the well flooding after the water disaster occurs and the virtual simulation and design stage of the complex mine drainage scheme after the well flooding perform data processing and decision generation in an application support environment in a resource fusion mode; the construction of the application supporting environment at least comprises the construction of a server, a sensor or a cloud platform.
2. The method of claim 1, wherein the resource fusion comprises device fusion, data fusion, and system fusion;
the equipment fusion comprises fusion of at least two of an internet of things related sensor, a long sight hole, a video camera, network communication equipment, a server and an LED display screen;
the data fusion comprises fusion of at least two of source data, constructed 2D or 3D models and integrated mined wisdom;
the system fusion comprises fusion of at least two of a communication contact system, a video image system, a monitoring system, an electromagnetic-micro-seismic coupling monitoring system, an emergency danger avoiding system, a personnel positioning system, a forced air self-rescue system, a water supply rescue system, a computer network system, a short message system, an information management system, a GIS system, a visual simulation system and a role management system;
wherein the source data of the data fusion comprises historical data and real-time data,
the historical data includes geological related, control water related and other data; the real-time data includes monitoring data, online data, and other data.
3. The method of claim 1, wherein the resource fusion comprises:
constructing a resource fusion software and hardware platform based on the Internet of things, big data, artificial intelligence and cloud computing;
constructing a cloud platform-based service, comprising: processing basic data; 2D and 3D modeling; building a mine water disaster case library; constructing a rapid identification model of mine water damage; dynamically updating the mine roadway;
integrating the constructed model and the file into a command server and a drilling server of a dispatching center, wherein the storage mode comprises shared storage and independent storage of the command server and the drilling server;
fusing a mining area database and an existing database;
the method comprises the following steps that various sensors and personnel positioning information in the pit are uploaded to a plurality of database servers of a dispatching center through an industrial ring network, a command server or a drilling server acquires relevant data, then relevant simulation analysis and prediction early warning are realized by combining a model, the data are visualized on an intelligent terminal or a display system, and various data and analysis results are reported to a higher-level department through a coal special network;
and updating the change, equipment and data of the mine roadway space along with the excavation engineering.
4. A mine water disaster emergency management system is characterized by comprising:
the comprehensive mine water disaster prevention and control network is used for comprehensively preventing and controlling mine water disasters, and comprises a simulation prediction and precautionary countermeasure stage before water disaster occurrence, a hidden danger investigation monitoring and early warning management and control stage, a rescue and emergency treatment stage before flooding after water disaster occurrence, and a virtual simulation and design stage of a re-mining drainage scheme after flooding, which are divided according to the periodic process of mine water disaster accident inoculation, formation, evolution and disaster formation;
the comprehensive mine water disaster prevention and control network comprises a simulation prediction and prevention countermeasure unit before water disaster occurrence, a hidden danger investigation monitoring and early warning control unit, a pre-well flooding emergency rescue and emergency disposal unit after water disaster occurrence and a virtual simulation and design unit of a complex mine drainage scheme after well flooding;
the water disaster pre-occurrence simulation prediction and prevention countermeasure unit is used for carrying out water disaster risk evaluation and prediction, water guide structure detection and prediction, submergence process virtual simulation and prediction, detection inspection and auxiliary design of water prevention and control and rescue facilities, and mining area and working surface arrangement analysis based on water disaster prevention and control;
the hidden danger troubleshooting monitoring and early warning management and control unit is used for carrying out water inflow amount prediction early warning, accident hidden danger monitoring, grading early warning and accident hidden danger management and control;
the emergency rescue and emergency disposal unit before flooding after water disaster occurrence is used for rapid identification, disaster water quantity prediction, water disaster information and spreading rule analysis, risk evaluation of personnel involved in the disaster, optimized escape and evacuation and water disaster disposal auxiliary design;
the virtual simulation and design unit of the compound mine drainage scheme after the well is flooded is used for simulating a compound mine forced drainage scheme or simulating a compound mine first blocking and then draining scheme;
the system comprises a simulation prediction and prevention countermeasure unit before water damage occurs, a hidden danger investigation monitoring and early warning management and control unit, a pre-well flooding emergency rescue and emergency disposal unit after water damage occurs and a virtual simulation and design unit of a post-well flooding complex mine drainage scheme, wherein the simulation prediction and prevention countermeasure unit before water damage occurs, the hidden danger investigation monitoring and early warning management and control unit, the pre-well flooding emergency rescue and emergency disposal unit after water damage occurs and the virtual simulation and design unit of the post-well flooding drainage scheme perform data processing and decision generation in an application support environment in a resource fusion mode; the construction of the application supporting environment at least comprises the construction of a server, a sensor or a cloud platform.
5. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 3 when executing the program.
6. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 3.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010235578.0A CN113464197B (en) | 2020-03-30 | 2020-03-30 | Mine water disaster emergency management method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010235578.0A CN113464197B (en) | 2020-03-30 | 2020-03-30 | Mine water disaster emergency management method and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113464197A CN113464197A (en) | 2021-10-01 |
CN113464197B true CN113464197B (en) | 2022-10-25 |
Family
ID=77864804
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010235578.0A Expired - Fee Related CN113464197B (en) | 2020-03-30 | 2020-03-30 | Mine water disaster emergency management method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113464197B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114251125A (en) * | 2021-11-23 | 2022-03-29 | 煤炭科学技术研究院有限公司 | Intelligent early warning system for water damage of coal mine |
CN115907238B (en) * | 2023-02-27 | 2023-07-28 | 南京邮电大学 | Multi-target emergency material center location method based on improved hunter optimization algorithm |
CN118273768B (en) * | 2024-04-03 | 2024-10-18 | 山东蓝光软件有限公司 | Coal mine water disaster holographic natural source mode early warning method and system based on GIS base |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101526010B (en) * | 2009-03-25 | 2012-01-11 | 华北科技学院 | Mine water burst disaster monitoring and early-warning system and control method thereof |
CN102426442B (en) * | 2011-10-13 | 2013-07-03 | 湖南城市学院 | Water resource real-time monitoring and managing method and system of complicated water system |
CN103899356A (en) * | 2014-02-21 | 2014-07-02 | 北京华安奥特科技有限公司 | Integrated information system for monitoring, early warning, management and control of mine water disasters |
CN105223612B (en) * | 2015-06-10 | 2018-08-14 | 中国矿业大学 | A kind of coal mine flood prediction and evaluation method based on earthquake information |
CN106910139A (en) * | 2017-02-22 | 2017-06-30 | 北京石油化工学院 | A kind of prominent flooding disaster emergency evacuation analogy method in colliery |
CN110397474B (en) * | 2019-08-06 | 2021-03-23 | 华北科技学院 | Method and system for monitoring and early warning mine water damage and simulating disaster spreading |
CN110599841B (en) * | 2019-08-30 | 2022-05-13 | 国能网信科技(北京)有限公司 | Mine disaster scene simulation system and method |
-
2020
- 2020-03-30 CN CN202010235578.0A patent/CN113464197B/en not_active Expired - Fee Related
Also Published As
Publication number | Publication date |
---|---|
CN113464197A (en) | 2021-10-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN113464197B (en) | Mine water disaster emergency management method and system | |
Wu et al. | A dynamic information platform for underground coal mine safety based on internet of things | |
Qian et al. | Safety risk management of underground engineering in China: Progress, challenges and strategies | |
Zhou et al. | Building information modelling review with potential applications in tunnel engineering of China | |
Zhou et al. | Application of 4D visualization technology for safety management in metro construction | |
CN107503797B (en) | Mine Methane tendency early warning system based on 3D emulation platform | |
Guo et al. | Multi-source information fusion for safety risk assessment in underground tunnels | |
CN114611180A (en) | Method for building intelligent mine management and control platform based on geological survey support system | |
Naghadehi et al. | A probabilistic systems methodology to analyze the importance of factors affecting the stability of rock slopes | |
CN104317637A (en) | Multi-agent-based virtual miner safety behavior modeling and emergency simulation system | |
Rafiee et al. | A fuzzy rock engineering system to assess rock mass cavability in block caving mines | |
CN106680894A (en) | Tunnel geology advanced prediction method based on C/S framework | |
CN115830829A (en) | General forecast early warning system of colliery water damage | |
Lin et al. | Ensemble model for risk status evaluation of excavation | |
Argyroudis et al. | A risk-based multi-level stress test methodology: application to six critical non-nuclear infrastructures in Europe | |
CN114386150A (en) | Digital and intelligent building applying 6G digital twins | |
CN115077513B (en) | Mixed reality method for escape and danger avoidance of personnel in dangerous accident of underground space structure | |
CN116521944B (en) | Knowledge graph construction method and system for multiple disasters of coal mine | |
CN117369254A (en) | Gas prevention and control robot cluster control method and system based on complex geological conditions | |
CN118273768B (en) | Coal mine water disaster holographic natural source mode early warning method and system based on GIS base | |
Qi et al. | Accident pattern recognition in subway construction for the provision of customized safety measures | |
Li et al. | AHP‐FSE‐Based Risk Assessment and Mitigation for Slurry Balancing Shield Tunnel Construction | |
Liu et al. | A BIM-based safety management framework for operation and maintenance in water diversion projects | |
Wen et al. | The digital twins for mine site rescue environment: Application framework and key technologies | |
Wu et al. | Multi-hazard risk characterization and collaborative control oriented to space in non-coal underground mines |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20221025 |
|
CF01 | Termination of patent right due to non-payment of annual fee |