Mine diffuse catchment water purification process based on BIM digital twinning technology

Abstract

The invention belongs to the field of mines, and particularly relates to a mine diffuse catchment purification process based on a BIM digital twinning technology, which comprises the following steps: establishing an underground model coping with a mine, a pipeline model coping with a pipe network and a purification model coping with water treatment, and associating the underground model, the pipeline model and the purification model; simulating, classifying, monitoring and predicting the diffuse catchment amount in the mine through the underground model; establishing a pipe network for coping with diffuse catchment transmission through the pipeline model, and dynamically predicting the pipe network; a mine, a pipe network and water treatment equipment are subjected to simulation setting through a BIM digital twinning technology so as to reduce the equipment installation cost; through linkage of all the models, daily water purification requirements can be met at the purification model, prediction is carried out in advance under the condition that diffuse catchment suddenly increases, a special purification scheme is dynamically customized, full-process data driving optimization is carried out, visual management of prediction, scheduling and purification of the mine BIM simulation process is achieved, and the problem that mine water treatment is inconvenient is solved.

Description

Technical Field

[0001] The present invention relates to the field of mines, and in particular to a mine flood water purification process based on BIM digital twin technology. Background Art

[0002] Coal mine water refers to all water that seeps into the underground excavation space during the coal mining process, sometimes also containing a small amount of surface water. Coal mine water treatment technologies primarily include neutralization of acidic water, flocculation to remove suspended particulate matter, and reverse osmosis to remove soluble salts, as well as a combination of these technologies. Various methods are employed to remove or reduce harmful substances in mine water, ensuring that it meets discharge standards and the environmental quality standards of the receiving water, or to achieve various target water quality requirements.

[0003] Due to the complex underground environment, there are differences in the distribution of mine water in different parts of the mine. When conducting water treatment, it is necessary to confirm the water outlet point, build a water supply network and install water treatment equipment. Direct construction is too costly and difficult to meet the actual needs on site. After construction, the water outlet point monitoring, pipeline transmission and water treatment links operate independently, and the data are not interconnected, making it impossible to achieve coordinated treatment of mine water. Summary of the Invention

[0004] (1) Purpose of the invention

[0005] In order to solve the technical problems existing in the background technology, the present invention proposes a mine flooded water purification process based on BIM digital twin technology, which uses BIM models to assist in the planning of pipeline networks and water treatment equipment before installation, and uses multiple models to coordinate and cooperate to formulate future water treatment plans.

[0006] (2) Technical solution

[0007] To solve the above technical problems, the present invention provides a mine flood water purification process based on BIM digital twin technology, comprising the following steps:

[0008] S1. Establish an underground model for the mine, a pipeline model for the pipe network, and a purification model for water treatment. Associate the coordinate systems of the models, assign unified information classification codes, and set up a shared parameter interaction platform.

[0009] S2. Use underground models to simulate the mine and classify, monitor, and predict flooding and its output;

[0010] S3. Establish a pipeline network to cope with flooding water transmission through the pipeline model and predict the transmission threshold of the pipeline network;

[0011] S4. Purify the flooded water transmitted by the pipe network through the purification model and monitor the water treatment equipment;

[0012] S5. Obtain the classification, water output and transmission parameters of future flooded water, and formulate a flooded water purification plan based on the purification model.

[0013] Preferably, the data for establishing the underground model includes: geological data of the mine, mining engineering data, hydrogeological data and sensor deployment map;

[0014] Downhole models are used to simulate water collection, seepage paths, and monitoring.

[0015] Preferably, the data for establishing the pipeline model includes: mine drainage system design drawings, equipment data, installation and construction data, and sensor groups;

[0016] Pipeline models are used to simulate water transmission and predict pipeline network status.

[0017] Preferably, the data for establishing the purification model include: water treatment plant design drawings, equipment parameters, process parameters and control module parameters;

[0018] The purification model is used to simulate the purification process and predict the equipment status.

[0019] Preferably, the downhole model, pipeline model, and purification model all use the same coordinate system when they are created, and the unified coordinate system ensures consistency of spatial positions;

[0020] Assign unified information classification codes to downhole models, pipeline models, and purification models;

[0021] Set up a shared parameter interaction platform for downhole models, pipeline models, and purification models.

[0022] Preferably, the underground model uses BIM to integrate geological boreholes, faults, and aquifer distribution to construct groundwater seepage paths and identify potential water outlets. There are several water outlets in the mine, and each water outlet is simulated. IoT sensors include water level meters, flow meters, and multi-parameter water quality meters to monitor and calibrate water outlets and perceive actual water output, water quality fluctuations, and water type information.

[0023] Preferably, the pipe network simulation of the pipe model is provided with a plurality of pipes, each pipe being connected to a corresponding water outlet point;

[0024] The maximum water output of each water outlet point corresponding to the water type is predicted through the downhole model, and the designed pipelines and matching water pumps are capable of normal transmission under the maximum water output condition.

[0025] Preferably, the process parameters are automatically matched according to the water quality classification results of S2, and the equipment operation is optimized in real time through the purification model. Each type of flooded water has a corresponding treatment process. When the flooded water is transported to the purification model through the water pipeline, the corresponding purification equipment is designed according to the amount of flooded water to purify the water.

[0026] The downhole model is integrated to predict future water inflow, the pipeline model is integrated to manage water supply, and the purification model is linked to formulate dynamic purification plans.

[0027] Preferably, the water output of any water outlet point in the future period is predicted through the downhole model, and the pipeline water delivery plan is customized, such as the valve opening state and pipeline transmission flow rate;

[0028] Use time-of-use electricity prices to dynamically adjust drainage intensity to reduce peaks and fill valleys;

[0029] Intelligent switching of pump combinations based on flow prediction ensures load balancing.

[0030] The above technical solution of the present invention has the following beneficial technical effects: through the BIM digital twin, multiple models are built to simulate the mine, pipe network and water treatment equipment to reduce the equipment installation cost;

[0031] Through the linkage of various models, the purification model can meet daily water purification needs, make advance predictions in the event of sudden surges in flooding, dynamically customize special purification plans, and optimize the entire process with data-driven optimization to achieve visual management of prediction, scheduling, and purification in the mine BIM simulation process, thus solving the problem of inconvenience in mine water treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a schematic diagram of the mine flood water purification process based on BIM digital twin technology of the present invention. DETAILED DESCRIPTION

[0033] To make the objectives, technical solutions, and advantages of the present invention more clearly understood, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present invention.

[0034] like Figure 1 As shown, the mine flooding water purification process based on BIM digital twin technology proposed in the present invention includes the following steps:

[0035] S1. Establish an underground model for the mine, a pipeline model for the pipe network, and a purification model for water treatment. Associate the coordinate systems of the models, assign unified information classification codes, and set up a shared parameter interaction platform.

[0036] S2. Use underground models to simulate the mine and classify, monitor, and predict flooding and its output;

[0037] S3. Establish a pipeline network to cope with flooding water transmission through the pipeline model and predict the transmission threshold of the pipeline network;

[0038] S4. Purify the flooded water transmitted by the pipe network through the purification model and monitor the water treatment equipment;

[0039] S5. Obtain the classification, water output and transmission parameters of future flooded water, and formulate a flooded water purification plan based on the purification model.

[0040] In S1, the data used to build the underground model include: mine geological data, mining engineering data, hydrogeological data, and sensor deployment map;

[0041] Based on geological BIM technology, geological data of points, lines and surfaces, mining engineering data, hydrogeological data and sensor deployment diagrams are converted into a three-dimensional underground model, and integrated with the precise mine tunnels and stopes in a unified coordinate system;

[0042] Bind attribute information to 3D underground model objects such as tunnel walls, specific rock formations, and water inflow points, including lithology, permeability, historical water inflow data, water quality data, and associated sensor IDs;

[0043] A downhole model including precise three-dimensional geometric information, geological information, hydrological information, engineering information, and monitoring point information was established to simulate water collection, seepage path, and monitoring.

[0044] The data used to build the pipeline model include: mine drainage system design drawings, equipment data, installation and construction information, and sensor groups;

[0045] Among them, mine drainage system design drawings: pipeline direction, diameter, material, length, slope, connection method;

[0046] Equipment data: pump performance curve, valve type and specifications, water tank / tank geometry and volume, substation location;

[0047] Installation and construction data: reflects the actual installation location and possible changes;

[0048] Sensor group: flow meter and pressure gauge installed on the pipeline.

[0049] Based on pipeline BIM technology, a three-dimensional pipeline model of pipelines, pipe fittings, water pumps, water tanks, pools, etc. is constructed. Each section of the pipeline model and each valve are defined, and the topology between pipelines and valves is performed. The logical connection relationship between pipelines and equipment is identified to form a complete pipeline network topology.

[0050] It can be understood that: any model object is bound with attributes such as pipe material, age, maintenance record, associated control logic, and associated sensor ID.

[0051] Establish a pipeline model containing accurate three-dimensional geometric information, hydraulic property information, equipment information, control information, and monitoring point information to simulate water transmission and predict pipeline network status.

[0052] The data used to build the purification model include: water treatment plant design drawings, equipment parameters, process parameters, and control module parameters;

[0053] Water treatment plant design drawings: purification process flow chart, piping and instrumentation diagram, building structure diagram, equipment layout diagram;

[0054] Equipment parameters: grid, sedimentation tank, clarifier, filter, membrane assembly, dosing pump, agitator, fan, backwash system, control cabinet, model, specifications, performance parameters and processing capacity of each equipment;

[0055] Process parameters: design flow rate, residence time, reagent type and dosage, backwash, cleaning cycle, membrane operating pressure, target water quality standard;

[0056] Control module parameters: PLC control logic, measuring point water level, flow, pressure, turbidity, pH, residual chlorine and other sensors.

[0057] Bind detailed parameters to all equipment, bind key performance indicators and associated sensor IDs to process units, and obtain a purification model containing 3D geometric information, detailed equipment information, process information, control logic information, and monitoring point information to simulate the purification process and predict equipment status.

[0058] As an example of the association of a downhole model, a pipeline model, and a purge model:

[0059] The underground model, pipeline model, and purification model all use the same coordinate system when they are created. The mine, pipeline network, and water treatment equipment are aligned in three-dimensional space. BIM's unified coordinate system ensures consistency in spatial position and enables virtual integration of digital twins.

[0060] Assign unified information classification codes to underground models, pipeline models, and purification models, implement unified numbering management for various buildings and equipment, and conduct unified management of various projects and project subcategories;

[0061] A shared parameter interaction platform is set up for the downhole model, pipeline model and purification model. The platform is built by setting up local storage and cloud servers and networks to interact, feedback and store data between the downhole model, pipeline model and purification model.

[0062] In S2, the mine is simulated through an underground model to classify, monitor and predict the flooding water and its output;

[0063] Among them, the underground model uses BIM to integrate geological boreholes, faults, and aquifer distribution to construct groundwater seepage paths and identify potential water outlets. There are several water outlets in the mine, and each water outlet is simulated. IoT sensors include water level meters, flow meters, and multi-parameter water quality meters to monitor and calibrate water outlets and perceive actual water output, water quality fluctuations, and water type information.

[0064] Since the downhole model is established based on historical data and current data, it can be used to predict future data after its establishment, predict water quality changes in future cycles, such as high turbidity and high mineralization, and adjust the S3 pipeline transmission parameters and S4 purification process parameters in advance.

[0065] Flooded water includes clean mine water, general mine water, highly mineralized mine water, acidic mine water, mine water containing toxic and harmful elements or radioactive elements, and mixed water.

[0066] In S3, a pipeline network that can handle flooding water transmission is established through the pipeline model, and the transmission threshold of the pipeline network is predicted;

[0067] The pipeline model's pipe network simulation sets up several pipes, each of which is connected to the corresponding water outlet point, including clean mine water pipes, general mine water pipes, highly mineralized mine water pipes, acidic mine water pipes, mine water pipes containing toxic and harmful elements or radioactive elements, and mixed water pipes.

[0068] It should be noted that the maximum water output of each water outlet point corresponding to the water type is predicted through the downhole model. The designed pipelines and corresponding water pumps must be able to cope with normal transmission under the maximum water output, thereby ensuring the low-cost construction of the pipeline network.

[0069] In one embodiment, the downhole model is used to predict the water output of any water outlet point in the future period. The pipeline water delivery plan is customized based on the precise geometric and attribute data of the corresponding pipeline, such as the pipe diameter, slope, valve position, pump performance curve, and the water output in the future period, such as the valve opening status and pipeline transmission flow rate.

[0070] Use time-of-use electricity prices to dynamically adjust drainage intensity to reduce peaks and valleys, thereby reducing equipment energy consumption;

[0071] Intelligently switch water pump combinations based on flow prediction to ensure load balancing and reduce equipment operating time;

[0072] In S3, the pipeline model can be used to perform independent water delivery operations on a single pipeline, or to conduct unified centralized water delivery management for all pipelines. The water delivery task volume can be obtained before the water delivery decision is made, which is conducive to the full-process management and control of the pipeline network.

[0073] In S4, the flooded water transmitted by the pipe network is purified through the purification model, and the water treatment equipment is monitored;

[0074] The process parameters are automatically matched according to the water quality classification results of S2, and the equipment operation is optimized in real time through the purification model. Each type of flooded water has a corresponding treatment process. When the flooded water is transported to the purification model through the water pipeline, the corresponding purification equipment can be designed according to the amount of flooded water to purify the water.

[0075] As an example of purification of flooded water:

[0076] Clean mine water can be drawn out through special water pipelines for use, and needs to be disinfected before being used as drinking water.

[0077] For general mine water, the sedimentation method is used to remove suspended matter underground or on the ground. When the mine water treatment volume is small, a combined water purifier is used.

[0078] The commonly used treatment methods for highly mineralized mine water include distillation, electrodialysis and reverse osmosis.

[0079] Acidic mine water is treated by neutralization method.

[0080] For mine water containing toxic, harmful or radioactive elements, the suspended solids are first removed, and then the pollutants that do not meet the target water quality are treated.

[0081] In S5, the classification, water output and transmission parameters of future flooded water are obtained, and the purification model formulates a flooded water purification plan.

[0082] Integrate downhole models to predict future water inflow, integrate pipeline models to manage water delivery, and link purification models to develop dynamic purification plans;

[0083] As an example of multi-terminal model linkage purification of highly mineralized mine water:

[0084] The downhole model predicts that the amount of high-mineralized water at outlet point 3 will increase by 40% over the next four hours, with a mineralization fluctuation range of 8,000-10,000 mg / L.

[0085] Feedback from the pipeline model: The peak water flow rate will reach the purification plant in 2.5 hours. The current pipeline flow rate has reached the critical value, and sedimentation needs to be avoided.

[0086] Purification model response: Start the backup reverse osmosis (RO) unit in advance and shut down the low-pressure nanofiltration unit to save energy. The flow rate forecast exceeds the current RO unit's processing limit (60 m³ / h).

[0087] The operating pressure of the reverse osmosis (RO) unit was increased from 60 bar to 75 bar, and the recovery rate was reduced from 60% to 45%, preventing the membrane fouling rate from doubling due to high salinity.

[0088] By using time-of-use electricity price data, the concentrated water reconcentration equipment is activated during the low electricity price period to reduce the energy consumption cost per ton of water by approximately ¥0.8 / m³.

[0089] Activate the concentrated water pool buffer system and reserve 200m³ of emergency capacity to prevent the risk of sudden shutdown of the RO system;

[0090] The scale inhibitor dosage was increased by 30 ppm, and the real-time pH adjustment range was adjusted from 7.0-7.5 to 6.8-7.0 to prevent scaling at the predicted peak CaSO4 concentration (2,100 mg / L).

[0091] In one embodiment, through the linkage of multi-terminal models, the purification model can meet daily water purification needs, make advance predictions in the event of a sudden surge in flooding, dynamically customize special purification plans, and optimize the entire process with data-driven optimization to achieve visual management of prediction, scheduling, and purification of the mine BIM simulation process, thereby solving the problem of inconvenience in underground water treatment in mines.

[0092] It should be understood that the above-described specific embodiments of the present invention are merely illustrative or illustrative of the principles of the present invention and do not constitute limitations of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included within the scope of protection of the present invention. In addition, the appended claims are intended to cover all variations and modifications that fall within the scope and metes and bounds of the appended claims, or equivalents thereof.

Claims

1. The mine flood water purification process based on BIM digital twin technology is characterized by: The following steps are involved: S1. Establish an underground model for the mine, a pipeline model for the pipe network, and a purification model for water treatment. Associate the coordinate systems of the models, assign unified information classification codes, and set up a shared parameter interaction platform. S2. Use underground models to simulate the mine and classify, monitor, and predict flooding and its output; S3. Establish a pipeline network to cope with flooding water transmission through the pipeline model and predict the transmission threshold of the pipeline network; S4. Purify the flooded water transmitted by the pipe network through the purification model and monitor the water treatment equipment; S5. Obtain the classification, water output and transmission parameters of future flooded water, and formulate a flooded water purification plan based on the purification model.

2. The mine flood water purification process based on BIM digital twin technology according to claim 1 is characterized in that: The data used to build the underground model include: mine geological data, mining engineering data, hydrogeological data, and sensor deployment maps; Downhole models are used to simulate water collection, seepage paths, and monitoring.

3. The mine flood water purification process based on BIM digital twin technology according to claim 1 is characterized in that: The data used to build the pipeline model include: mine drainage system design drawings, equipment data, installation and construction information, and sensor groups; Pipeline models are used to simulate water transmission and predict pipeline network status.

4. The mine flood water purification process based on BIM digital twin technology according to claim 1 is characterized in that: The data used to build the purification model include: water treatment plant design drawings, equipment parameters, process parameters, and control module parameters; The purification model is used to simulate the purification process and predict the equipment status.

5. The mine flood water purification process based on BIM digital twin technology according to claim 1 is characterized in that: The downhole model, pipeline model, and purification model all use the same coordinate system when they are created. The unified coordinate system ensures the consistency of spatial positions. Assign unified information classification codes to downhole models, pipeline models, and purification models; Set up a shared parameter interaction platform for downhole models, pipeline models, and purification models.

6. The mine flood water purification process based on BIM digital twin technology according to claim 1 is characterized in that: The underground model uses BIM to integrate geological boreholes, faults, and aquifer distribution to construct groundwater seepage paths and identify potential water outlets. There are several water outlets in the mine, and each water outlet is simulated. IoT sensors, including water level meters, flow meters, and multi-parameter water quality meters, monitor and calibrate water outlets to perceive actual water output, water quality fluctuations, and water type information.

7. The mine flood water purification process based on BIM digital twin technology according to claim 1 is characterized in that: The pipe network simulation of the pipe model sets up several pipes, each of which is connected to the corresponding water outlet point; The maximum water output of each water outlet point corresponding to the water type is predicted through the downhole model, and the designed pipelines and matching water pumps are capable of normal transmission under the maximum water output condition.

8. The mine flood water purification process based on BIM digital twin technology according to claim 1 is characterized in that: The process parameters are automatically matched according to the water quality classification results of S2, and the equipment operation is optimized in real time through the purification model. Each type of flooded water has a corresponding treatment process. When the flooded water is transported to the purification model through the water pipeline, the corresponding purification equipment is designed according to the amount of flooded water to purify the water.

9. The mine flood water purification process based on BIM digital twin technology according to claim 1 is characterized in that: The downhole model is integrated to predict future water inflow, the pipeline model is integrated to manage water supply, and the purification model is linked to formulate dynamic purification plans.

10. The mine flood water purification process based on BIM digital twin technology according to claim 1 is characterized in that: Use downhole models to predict the water output of any water outlet in the future cycle and customize pipeline water delivery plans, including valve opening status and pipeline transmission flow rate; Use time-of-use electricity prices to dynamically adjust drainage intensity to reduce peaks and fill valleys; Intelligent switching of pump combinations based on flow prediction ensures load balancing.

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