CN-121997533-A - Mine emergency rescue multi-level off-site collaborative command training method and system

CN121997533ACN 121997533 ACN121997533 ACN 121997533ACN-121997533-A

Abstract

The application discloses a mine emergency rescue multi-level remote collaborative command training method and system, which belong to the technical field of emergency rescue training and comprise the steps of integrating a disaster physical engine based on a mine three-dimensional model, simulating dynamic changes of disaster conditions to construct a digital twin model of a dynamic disaster scene, generating tactical advice and rescue behavior options according to mine emergency rescue terms and a historical case library, generating simulated different rescue schemes according to the tactical advice and the rescue behavior options by the digital twin model, evaluating the rescue schemes by using a tactical evaluation algorithm, generating a quantized comparison report, deploying a main control engine, uniformly managing global logic and data, generating a multi-terminal collaborative sand table interactive tactic according to the quantized comparison report, acquiring cross-department disaster conditions and resource states in real time, improving the feasibility of the plan, synchronizing tactical decisions and execution, and reducing the cost of the plan exercise and reproduction.

Inventors

ZHANG PENG
REN YAN
MA LONG
MA HONGTAO
LIU TIE
WEN PENG
ZOU DEDONG
LI CHENGDONG
MENG XIANGNING
LIU HAOYAN

Assignees

中煤科工集团沈阳研究院有限公司

Dates

Publication Date: 20260508
Application Date: 20251211

Claims (10)

1. The multi-level remote collaborative command training method for mine emergency rescue is characterized by comprising the following steps of: acquiring mine dynamic disaster scene data, and constructing a digital twin model and a disaster evolution three-dimensional model of the mine dynamic disaster scene; generating tactical advice and rescue behavior options according to mine emergency rescue terms and a historical case base, generating different rescue schemes according to the tactical advice and rescue behavior options by using a digital twin model of a mine dynamic disaster scene, evaluating the rescue schemes by using a tactical evaluation algorithm, and generating a quantitative comparison report; And generating a multi-terminal collaborative sand table interaction tactic according to the quantitative comparison report, and carrying out mine emergency rescue training based on the multi-terminal collaborative sand table interaction tactic.
2. The mine emergency rescue multi-level off-site collaborative command training method is characterized in that mine dynamic disaster scene data comprise a mine three-dimensional geological model, a roadway topological graph, equipment layout data and roadway wind network parameters; The method for constructing the digital twin model of the mine dynamic disaster scene comprises the following steps: Constructing a digital twin sand table supporting real-time rendering of disaster visualization effects based on the mine three-dimensional geological model, the roadway topological graph and the equipment layout data; Setting a fire source position, dynamically calculating a fire spreading path and a temperature distribution diagram based on a fluid dynamics principle, and constructing a fire spreading model by combining roadway wind network parameters; Setting a toxic gas release position, simulating a toxic gas diffusion range by adopting a finite element method based on a gas concentration gradient, a CO concentration gradient and ventilation parameters, and constructing a gas diffusion model; Setting a plurality of fire source positions and a plurality of toxic gas release positions on a digital twin sand table, assembling a fire spreading model and a gas spreading model on the digital twin sand table, and deploying rescue workers, rescue equipment and virtual sensors on the digital twin sand table to obtain a digital twin model of a mine dynamic disaster scene; setting different disaster intensities and environment parameters, and generating a disaster evolution three-dimensional model based on a digital twin model of a mine dynamic disaster scene; The disaster intensity parameters are used for quantifying the initial state and the development state of the disaster, and comprise initial fire source temperature, fire source power, combustion object type, initial fire spreading speed, initial toxic gas release concentration, gas release rate, initial gas spreading pressure and initial disaster influence range; the environmental parameters are mine tunnel structures or dynamic environmental conditions affecting disaster evolution, and comprise tunnel height, width, length, tunnel corner and branch road number, tunnel wind speed, wind quantity, working state of a ventilator, wind net resistance coefficient and tunnel humidity; The method comprises the steps of dragging and adjusting the position of a fire source, setting initial disaster intensity and modifying environmental parameters on a digital twin sand table, generating a disaster evolution three-dimensional model, dragging and dropping rescue workers, equipment and virtual sensors, and mapping resource states to a global view in real time, wherein the resource states comprise the number and distribution conditions of the rescue workers, the equipment and the virtual sensors.
3. The mine emergency rescue multi-level off-site collaborative command training method according to claim 2, wherein tactical advice and rescue behavior options are generated according to mine emergency rescue terms and a historical case base, and the method is as follows: Acquiring a mine emergency rescue historical case and constructing a historical case library; and converting mine emergency rescue terms into a structured decision tree, selecting key decision nodes by combining a historical case base, and generating tactical suggestions and rescue behavior options.
4. The mine emergency rescue multi-level off-site collaborative command training method according to claim 3, wherein different simulated rescue schemes are evaluated by using a tactical evaluation algorithm to generate a quantitative comparison report, and the specific method comprises the following steps: Generating task Gantt charts of different rescue schemes based on time constraint, and monitoring a first curve and a second curve of a key decision node in real time, wherein the first curve is a time deviation curve generated according to the time variation of the difference value between the actual arrival time of a rescue team at a key position and the planned time, and the second curve is a completion degree curve of a key rescue task, and the key rescue task comprises a fire extinguishing task, a gas emission task and a personnel search and rescue task; when the rescue team arrival time deviation value and the rescue task completion plan value exceed a preset threshold value, a warning is sent out; Using a digital twin model of a mine dynamic disaster scene to deduce different rescue schemes to obtain deduction results of the different rescue schemes; Evaluating deduction results of different rescue schemes by using a tactical evaluation algorithm, wherein the tactical evaluation algorithm adopts a multi-dimensional weighted comprehensive evaluation algorithm and comprises a time efficiency dimension, a resource consumption dimension, a rescue result dimension and a risk occurrence dimension; The time efficiency comprises a deviation value of total time consumption of the rescue task and a preset shortest time; the resource consumption comprises the total input amount of rescue equipment, personnel and materials required by rescue tasks; rescue results comprise survival rate and disaster control rate of trapped people; the risk occurrence comprises the occurrence rate of newly increased risk events; Normalizing the deviation value of total time consumption of the rescue task and the preset shortest time, total input amount of rescue equipment, personnel and materials, survival rate of trapped personnel, disaster control rate and occurrence rate of newly increased risk event to unify the corresponding values of each dimension, setting weight for each dimension, and calculating the comprehensive score of the rescue scheme through weighted summation; And generating quantitative comparison reports of different rescue schemes based on the comprehensive scores of the rescue schemes and the deviation values between the true values of the dimensions and the preset threshold values, wherein the quantitative comparison reports comprise execution efficiency scores, resource consumption statistics and deviation analysis.
5. The multi-level off-site collaborative command training method for mine emergency rescue of claim 4, wherein the multi-terminal collaborative sand table interaction tactics are multi-level collaborative tactics comprising a central cloud, regional edge clouds and field terminals.
6. The multi-level off-site collaborative command training method for mine emergency rescue according to claim 5, which is characterized by carrying out mine emergency rescue training based on a multi-terminal collaborative sand table interaction tactic and comprises the following specific steps: Taking the command center as a central cloud, deploying a main control engine in the central cloud, and uniformly managing a global disaster evolution three-dimensional model, a resource state and deduction time sequence logic of a rescue scheme, generating a rescue tactical command based on a quantitative comparison report, and sending the rescue tactical command to the regional edge cloud; Taking a rescue site as an area edge cloud, receiving rescue tactics instructions sent by a central cloud, feeding back site execution data, running a disaster evolution three-dimensional model, and adjusting the rescue tactics instructions in real time according to site real-time environment data; And taking the rescue team member as a field terminal, wearing a lightweight client by the rescue team member, receiving the rescue tactic command after real-time adjustment through the lightweight client, feeding back real-time positioning and field real-time environment data of the rescue team member, and updating the environment data and personnel data in the disaster evolution three-dimensional model in real time.
7. The mine emergency rescue multi-level off-site collaborative command training method is characterized in that a command center adopts a heterogeneous intelligent agent collaborative mechanism, operation events of all key decision nodes are synchronized through a distributed message queue, an LSTM time sequence prediction model is used for predicting disaster evolution trend in a future preset time based on data of virtual sensors in a digital twin sand table, early warning information is generated, and the early warning information is pushed to all field terminals.
8. The mine emergency rescue multi-level off-site collaborative command training method according to claim 7, wherein the central cloud further comprises a role access control-based rights model for defining multi-level command roles and operation rights; Establishing a dynamic authority allocation mechanism, using the authority model based on the role authority access control and the dynamic authority allocation mechanism to allocate different roles and authorities for field terminals at different stages of mine emergency rescue training, and defining the multilevel command roles and the operation authorities, wherein the multilevel command roles and the operation authorities comprise a command layer, a rescue layer and a logistic layer, so that the operation authorities of different-level personnel in the mine emergency rescue training are synchronous with data, and the multi-role different-place collaborative operation of the command layer, the rescue layer and the logistic layer is realized.
9. The mine emergency rescue multi-level off-site collaborative command training method according to claim 8, wherein the dynamic authority allocation mechanism comprises: In the starting stage of mine emergency rescue training, a permission model based on role permission access control is used for distributing basic permission according to a preset role, tactical arrows and warning area marks are drawn on a digital twin model and shared in real time; in the deduction process of the mine rescue scheme, authority upgrading is triggered according to an event, and when multiple users modify the same equipment state at the same time, the effectiveness of operation is arbitrated according to the priority of the role by using an authority model based on role authority access control.
10. The mine emergency rescue multi-level off-site collaborative command training system is characterized by comprising a digital twin module, a report generation module and a tactical generation module, wherein the multi-level off-site collaborative command training is performed based on the method of claim 1; the digital twin module is used for acquiring mine dynamic disaster scene data and constructing a digital twin model of the mine dynamic disaster scene; The report generation module is used for generating tactical advice and rescue behavior options according to mine emergency rescue terms and a historical case library, the digital twin model is used for generating different simulated rescue schemes according to the tactical advice and rescue behavior options, and a tactical evaluation algorithm is used for evaluating the rescue schemes to generate a quantitative comparison report; The tactics generation module is used for generating a multi-terminal collaborative sand table interaction tactics according to the quantitative comparison report, and carrying out mine emergency rescue training based on the multi-terminal collaborative sand table interaction tactics.

Description

Mine emergency rescue multi-level off-site collaborative command training method and system Technical Field The invention belongs to the technical field of emergency rescue training, and particularly relates to a mine emergency rescue multi-level remote collaborative command training method and system. Background The mine emergency rescue is a high-risk operation, needs rescue workers to have strong comprehensive capacity in physical, psychological, knowledge, experience and the like, and is an important guarantee for safely and efficiently carrying out rescue and reducing accident loss. The rescue training is a basic way for improving the capability of rescue workers, and the main accident types of mine emergency rescue include natural environment disasters such as underground coal mine water penetration, fire, gas, coal dust explosion, roof caving and the like. The existing mine emergency rescue command training system is mainly participated by a single person or a local team, cannot support collaborative decision and real-time deduction of multi-level command departments and different-place rescue workers, uses an independent deduction system by different departments, is not uniform in data format, cannot form global situation awareness, cannot synchronize across platforms, is difficult to simulate collaborative processes among on-site command, regional command and general command parts, and causes tactical decision and execution disjoint, and the scheme drilling and reproduction cost is high, the period is long, and the reduction degree is low. Disclosure of Invention Aiming at the defects of the prior art, on one hand, the invention provides a mine emergency rescue multi-level remote collaborative command training method, which comprises the following steps: acquiring mine dynamic disaster scene data, and constructing a digital twin model and a disaster evolution three-dimensional model of the mine dynamic disaster scene; generating tactical advice and rescue behavior options according to mine emergency rescue terms and a historical case base, generating different rescue schemes according to the tactical advice and rescue behavior options by using a digital twin model of a mine dynamic disaster scene, evaluating the rescue schemes by using a tactical evaluation algorithm, and generating a quantitative comparison report; And generating a multi-terminal collaborative sand table interaction tactic according to the quantitative comparison report, and carrying out mine emergency rescue training based on the multi-terminal collaborative sand table interaction tactic. Further, the mine dynamic disaster scene data comprises a mine three-dimensional geological model, a roadway topological graph, equipment layout data and roadway wind network parameters; The method for constructing the digital twin model of the mine dynamic disaster scene comprises the following steps: Constructing a digital twin sand table supporting real-time rendering of disaster visualization effects based on the mine three-dimensional geological model, the roadway topological graph and the equipment layout data; Setting a fire source position, dynamically calculating a fire spreading path and a temperature distribution diagram based on a fluid dynamics principle, and constructing a fire spreading model by combining roadway wind network parameters; Setting a toxic gas release position, simulating a toxic gas diffusion range by adopting a finite element method based on a gas concentration gradient, a CO concentration gradient and ventilation parameters, and constructing a gas diffusion model; Setting a plurality of fire source positions and a plurality of toxic gas release positions on a digital twin sand table, assembling a fire spreading model and a gas spreading model on the digital twin sand table, and deploying rescue workers, rescue equipment and virtual sensors on the digital twin sand table to obtain a digital twin model of a mine dynamic disaster scene; setting different disaster intensities and environment parameters, and generating a disaster evolution three-dimensional model based on a digital twin model of a mine dynamic disaster scene; The disaster intensity parameters are used for quantifying the initial state and the development state of the disaster, and comprise initial fire source temperature, fire source power, combustion object type, initial fire spreading speed, initial toxic gas release concentration, gas release rate, initial gas spreading pressure and initial disaster influence range; the environmental parameters are mine tunnel structures or dynamic environmental conditions affecting disaster evolution, and comprise tunnel height, width, length, tunnel corner and branch road number, tunnel wind speed, wind quantity, working state of a ventilator, wind net resistance coefficient and tunnel humidity; The method comprises the steps of dragging and adjusting the position of a fire source, setting initial disaster intensi