Underground cavern construction blasting ventilation control system and method based on wind network calculation

Abstract

The invention provides an underground cavern construction blasting ventilation control system and method based on wind network calculation. The underground cavern construction blasting ventilation control system comprises a pollution source detection module, a control system module, a fan control module and a data feedback module. The invention provides an underground cavern construction blasting ventilation control system and method based on wind network calculation, and the method optimizes a ventilation strategy through real-time pollutant monitoring, wind network calculation simulation and fan dynamic regulation and control. The specific process comprises pollution source detection, wind network model establishment, pollutant diffusion path simulation and fan dynamic regulation and control. Through the precise air volume regulation and control and fan combination strategy, the harmful gas can be diluted in a short time, the construction safety is ensured, and the energy consumption is remarkably reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of ventilation control, and in particular to a ventilation control system and method for underground cavern construction blasting based on wind network solution. Background Art

[0002] During underground cavern construction, blasting operations often release a large amount of harmful gases, such as CO and NOx. If these pollutants cannot be discharged in time, they will seriously affect the health and safety of construction workers. Existing ventilation systems mainly rely on mechanical ventilation, which is usually achieved through the continuous operation of fixed fans. This method has problems such as high energy consumption, uneven ventilation effect, and slow response. Therefore, an intelligent system that can respond quickly and accurately control the ventilation volume and adjust the ventilation direction is needed. Summary of the invention

[0003] In view of the defects of the prior art, the present invention provides an underground cavern construction blasting ventilation control system and method based on wind network solution, which can effectively solve the above problems.

[0004] The technical solution adopted by the present invention is as follows:

[0005] The present invention provides an underground cavern construction blasting ventilation control system based on wind network solution, comprising:

[0006] The pollution source detection module is used to detect the pollutant concentration at each key node of the underground cavern in real time, obtain the pollutant concentration distribution data, and transmit it to the control system module in real time;

[0007] A control system module is used to receive the pollutant concentration distribution data uploaded by the pollution source detection module in real time, and simulate the pollutant diffusion path through wind network solution in combination with the underground cavern geometry and environmental parameters, so as to obtain the current optimal fan control strategy, and send it to the fan control module;

[0008] A fan control module, used to dynamically adjust the operating state of the fan according to the optimal fan control strategy output by the control system module, including opening, closing and air volume adjustment of each fan;

[0009] The data feedback module is used to feed back the pollutant concentration adjusted by the fan control module to the control system module in real time, so as to optimize the best fan control strategy and form a closed-loop control mechanism.

[0010] Preferably, the pollution source detection module is connected to a plurality of pollutant detection sensors distributed at key nodes of the underground cavern, and then the pollutant concentrations at the key nodes of the underground cavern are obtained through the pollutant detection sensors.

[0011] Preferably, the pollutant detection sensors are arranged around the blasting points during underground cavern construction, at ventilation duct nodes and in key areas of exhaust shafts.

[0012] Preferably, the control system module is specifically used for:

[0013] Import underground cavern geometry, fan layout parameters, fan performance parameters and environmental parameters to build a wind network model;

[0014] Based on the wind network model, using the pollutant concentration and adopting the wind network solution algorithm, the pressure difference of the wind network nodes is calculated, so as to simulate the pollutant diffusion path and pollutant concentration distribution based on the pollutant diffusion model;

[0015] According to the pollutant diffusion path and pollutant concentration distribution, the pollutant concentration at the key node is analyzed and the optimal fan control strategy is output.

[0016] Preferably, the wind network solution algorithm uses the following formula to obtain the pressure difference of the wind network nodes:

[0017] ΔP=ρ·g·H+KQ 2

[0018] Where: ΔP: pressure difference of wind network nodes; ρ: air density; H: height difference of wind network nodes; K: wind resistance coefficient; Q: ventilation volume; g is gravity acceleration;

[0019] The pollutant diffusion model is:

[0020]

[0021] Where: C: pollutant concentration; t: time; v: air flow velocity vector; D: diffusion coefficient; S: pollution source term.

[0022] Preferably, in the optimal fan control strategy, the goal of the fan control strategy is:

[0023]

[0024] Where: P opt : air flow velocity vector; E i : Energy consumption function of the i-th fan; Q i : fan air volume; n is the number of fans;

[0025] On the basis of meeting the objectives of the fan control strategy, fans in areas with higher pollutant concentrations are turned on first, and the shortest emission path is planned to quickly guide pollutants to the exhaust shaft.

[0026] Preferably, the control system module further includes an adaptive control module;

[0027] The adaptive control module is used to adjust the model parameters of the wind network model using the current pollutant concentration; and then enable the wind network solution algorithm to perform wind network solution based on the adjusted wind network model.

[0028] The present invention also provides a method for controlling blasting ventilation in underground cavern construction based on wind network solution, comprising the following steps:

[0029] Step S1, arranging pollutant detection sensors at each key node of the underground cavern; each of the pollutant detection sensors detects the pollutant concentration of each key node of the underground cavern in real time, and uploads it to the pollution source detection module in real time;

[0030] Step S2, the pollution source detection module transmits the obtained current pollutant concentration of each key node to the control system module in real time;

[0031] Step S3, the control system module first determines whether the current pollutant concentration of each key node exceeds the threshold. If none of them exceeds the threshold, the wind network solution and fan control steps are not started; if there is a key node where the pollutant concentration exceeds the threshold, step S4 is executed;

[0032] Step S4, the control system module sends the pollutant concentration of each key node to the adaptive control module;

[0033] Step S5, the adaptive control module uses the current pollutant concentration to adjust the model parameters of the wind network model, specifically adjusting the fan performance parameters and environmental parameters of the wind network model to obtain the wind network model with adjusted model parameters;

[0034] Step S6, the wind network solution module adopts a wind network solution algorithm to perform wind network solution based on the wind network model with adjusted model parameters, calculates the pressure difference of each wind network node, and then simulates the pollutant diffusion path and pollutant concentration distribution based on the pollutant diffusion model;

[0035] Step S7, the wind network solution module generates the current optimal fan control strategy according to the obtained pollutant diffusion path and pollutant concentration distribution, and sends it to the fan control module;

[0036] Step S8, the fan control module dynamically adjusts the operating state of the fan according to the optimal fan control strategy output by the control system module, including opening, closing and air volume adjustment of each fan;

[0037] The pollutant concentration adjusted by the fan control module is fed back to the pollution source detection module through the pollutant detection sensor, thus forming a closed-loop control mechanism.

[0038] The invention provides an underground cavern construction blasting ventilation control system and method based on wind network solution, which has the following advantages:

[0039] The present invention provides a ventilation control system and method for underground cavern construction blasting based on wind network solution, which optimizes the ventilation strategy through real-time pollutant monitoring, wind network solution simulation and fan dynamic regulation. The specific process includes pollution source detection, wind network model establishment, pollutant diffusion path simulation and fan dynamic regulation. Through precise air volume control and fan combination strategy, the present invention can dilute harmful gases in a short time, ensure construction safety, and significantly reduce energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A flow chart of a method for controlling blasting ventilation in underground cavern construction based on wind network solution provided by the present invention;

[0041] Figure 2 The ventilation network diagram provided by the present invention.

[0042] Among them: 1-outdoor node A, 2-ventilation tunnel, 3-traffic tunnel, 4-ventilation room, 5-main transformer ventilation branch, 6-drainage corridor, 7-tail gate traffic road branch, 8-generator layer, 9-first equipment layer, 10-outlet tunnel, 11-second equipment layer, 12-third equipment layer, 13-busbar layer, 14-turbine layer, 15-volute layer, 16-eighth floor of main and auxiliary plant buildings, 17-seventh floor of main and auxiliary plant buildings, 18-sixth floor of main and auxiliary plant buildings, 19-fifth floor of main and auxiliary plant buildings. 20-the fourth floor of the main and auxiliary plant buildings, 21-the third floor of the main and auxiliary plant buildings, 22-the second floor of the main and auxiliary plant buildings, 23-the first floor of the main and auxiliary plant buildings, 24-node A on each floor, 25-node B on each floor, 26-busbar tunnel, 27-tailwater pipe layer, 28-tail gate exhaust passage, 29-construction branch tunnel, 30-main transformer exhaust passage, 31-exhaust horizontal tunnel, 32-exhaust machine room, 33-exhaust shaft, 34-outdoor node B. DETAILED DESCRIPTION

[0043] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0044] The present invention provides a ventilation control system and method for underground cavern construction blasting based on wind network solution, which optimizes the ventilation strategy through real-time pollutant monitoring, wind network solution simulation and fan dynamic regulation. The specific process includes pollution source detection, wind network model establishment, pollutant diffusion path simulation and fan dynamic regulation. Through precise air volume control and fan combination strategy, the present invention can dilute harmful gases in a short time, ensure construction safety, and significantly reduce energy consumption.

[0045] See also Figure 1 The present invention provides an underground cavern construction blasting ventilation control system based on wind network solution, which is used to quickly calculate the optimal ventilation channel and control the ventilation system after blasting, effectively remove pollutants generated by blasting, and ensure the safety of construction personnel and the quality of the underground cavern environment, including:

[0046] The pollution source detection module is used to detect the pollutant concentration of each key node of the underground cavern in real time, obtain the pollutant concentration distribution data, and transmit it to the control system module in real time; specifically, the pollution source detection module is connected to a number of pollutant detection sensors distributed at each key node of the underground cavern, and then the pollutant concentration of each key node of the underground cavern is obtained through the pollutant detection sensors. Among them, the pollutant detection sensors are arranged in key areas such as the surrounding of the blasting point of the underground cavern construction, the ventilation duct nodes and the exhaust shaft.

[0047] A control system module is used to receive the pollutant concentration distribution data uploaded by the pollution source detection module in real time, and simulate the pollutant diffusion path through wind network solution in combination with the underground cavern geometry and environmental parameters, so as to obtain the current optimal fan control strategy, and send it to the fan control module;

[0048] The control system module is specifically used to: import the geometric structure of the underground cavern, fan layout parameters, fan performance parameters and environmental parameters to build a wind network model;

[0049] Based on the wind network model, using the pollutant concentration and adopting the wind network solution algorithm, the pressure difference of the wind network nodes is calculated, so as to simulate the pollutant diffusion path and pollutant concentration distribution based on the pollutant diffusion model;

[0050] The wind network solution algorithm uses the following formula to obtain the pressure difference of the wind network nodes:

[0051] ΔP=ρ·g·H+KQ 2

[0052] Where: ΔP: pressure difference of wind network nodes; ρ: air density; H: height difference of wind network nodes; K: wind resistance coefficient; Q: ventilation volume; g is gravity acceleration;

[0053] The pollutant diffusion model is:

[0054]

[0055] Where: C: pollutant concentration; t: time; v: air flow velocity vector; D: diffusion coefficient; S: pollution source term.

[0056] According to the pollutant diffusion path and pollutant concentration distribution, the pollutant concentration at the key node is analyzed and the optimal fan control strategy is output.

[0057] In the optimal fan control strategy, the objectives of the fan control strategy are:

[0058]

[0059] Where: P opt : air flow velocity vector; E i : Energy consumption function of the i-th fan; Q i : fan air volume; n is the number of fans;

[0060] On the basis of meeting the objectives of the fan control strategy, fans in areas with higher pollutant concentrations are turned on first, and the shortest emission path is planned to quickly guide pollutants to the exhaust shaft.

[0061] The control system module also includes an adaptive control module; the adaptive control module is used to adjust the model parameters of the wind network model using the current pollutant concentration; and then enable the wind network solution algorithm to perform wind network solution based on the adjusted wind network model.

[0062] A fan control module, used to dynamically adjust the operating state of the fan according to the optimal fan control strategy output by the control system module, including opening, closing and air volume adjustment of each fan;

[0063] The data feedback module is used to feed back the pollutant concentration adjusted by the fan control module to the control system module in real time, so as to optimize the best fan control strategy and form a closed-loop control mechanism.

[0064] The present invention also provides a method for controlling blasting ventilation in underground cavern construction based on wind network solution, comprising the following steps:

[0065] Step S1, arranging pollutant detection sensors at each key node of the underground cavern; each of the pollutant detection sensors detects the pollutant concentration of each key node of the underground cavern in real time, and uploads it to the pollution source detection module in real time;

[0066] Step S2, the pollution source detection module transmits the obtained current pollutant concentration of each key node to the control system module in real time;

[0067] Step S3, the control system module first determines whether the current pollutant concentration of each key node exceeds the threshold. If none of them exceeds the threshold, the wind network solution and fan control steps are not started; if there is a key node where the pollutant concentration exceeds the threshold, step S4 is executed;

[0068] Step S4, the control system module sends the pollutant concentration of each key node to the adaptive control module;

[0069] Step S5, the adaptive control module uses the current pollutant concentration to adjust the model parameters of the wind network model, specifically adjusting the fan performance parameters and environmental parameters of the wind network model to obtain the wind network model with adjusted model parameters;

[0070] Step S6, the wind network solution module adopts a wind network solution algorithm to perform wind network solution based on the wind network model with adjusted model parameters, calculates the pressure difference of each wind network node, and then simulates the pollutant diffusion path and pollutant concentration distribution based on the pollutant diffusion model;

[0071] Step S7, the wind network solution module generates the current optimal fan control strategy according to the obtained pollutant diffusion path and pollutant concentration distribution, and sends it to the fan control module;

[0072] Step S8, the fan control module dynamically adjusts the operating state of the fan according to the optimal fan control strategy output by the control system module, including opening, closing and air volume adjustment of each fan;

[0073] The pollutant concentration adjusted by the fan control module is fed back to the pollution source detection module through the pollutant detection sensor, thus forming a closed-loop control mechanism.

[0074] An embodiment is described below:

[0075] The specific implementation of the underground cavern construction blasting ventilation control system based on wind network solution of the present invention is as follows:

[0076] Pollution source detection:

[0077] The present invention uses gas sensors arranged in underground caverns to monitor the concentration of pollutants (such as carbon monoxide, nitrogen oxides, etc.) released after blasting operations in real time. These sensors can collect and feedback pollutant concentration data in real time after blasting operations. Through the real-time detection of pollution sources, the system can understand the spatial distribution and concentration changes of pollutants as the initial input data for subsequent wind network solution.

[0078] For example, by arranging gas sensors at the construction site, the pollutant concentration can be detected in real time to obtain the initial distribution map of pollutants C0(x,y,z). For example, assuming that the CO concentration at the pollution source is 150mg / m 3 The concentration data will be used as the initial condition for wind network solution.

[0079] In the present invention, the gas sensor monitors the air quality in the cave in real time, including CO, NO xThe concentration of pollutants such as gas and air pollution can be measured. Gas sensors are evenly arranged at key nodes of the construction cavern, including near the blasting point, ventilation channels, exhaust vents, etc., to ensure comprehensive monitoring of the concentration distribution and dynamic changes of pollution sources. This sensor must have high sensitivity, wide range and fast response characteristics, be able to operate stably in complex environments, and adapt to construction conditions with high humidity and high dust. The sensor transmits the detection data to the control system module in real time through a wireless network or wired network.

[0080] Control system module: Integrates the pollution source detection module, wind network solution module and fan control module to globally manage and dispatch the entire ventilation system. It is equipped with a high-performance processor, sufficient storage space and communication module to quickly process monitoring data, run the wind network solution algorithm, and control fan operation. It has multiple functions such as monitoring data collection, wind network model update, simulation solution and dynamic control to achieve closed-loop control of the system.

[0081] Fans: According to the geometric structure and ventilation requirements of the cavern, main supply fans, exhaust fans and auxiliary fans are arranged to ensure that all key nodes of the pollutant diffusion path are covered. The fans have adjustable speed functions and can dynamically adjust the air volume and wind speed according to the instructions of the control system, or realize on-off operation.

[0082] Wind network solution simulation:

[0083] The present invention uses the wind network model of the underground cavern, combined with real-time pollutant concentration data and the geometric structure of the cavern, to solve the ventilation system through the wind network solution algorithm. The core purpose of the wind network solution is to calculate the concentration distribution of pollutants in each area based on the diffusion path of pollutants, air flow dynamics and air volume requirements, and determine the areas where ventilation needs to be strengthened or additional fans need to be turned on. During the wind network solution process, air flow equations (such as the relationship between pressure difference, wind speed and air volume) are used to simulate air flow, and the diffusion and propagation of pollutants are simulated through diffusion equations.

[0084] Specifically: Use modeling software to build a wind network model of the underground cavern and match the wind network solution algorithm. The model includes the fans of the ventilation system, ventilation ducts, the geometric structure of each area of ​​the cavern, and the performance parameters of each fan.

[0085] The basic calculation formula of the wind network is:

[0086] ΔP=ρ·g·H+KQ 2

[0087] ΔP: pressure difference of wind network nodes (Pa);

[0088] ρ: air density (kg / m 3 );

[0089] H: node height difference (m);

[0090] K: Drag coefficient (Pa·s 2 / m 6 );

[0091] Q: Ventilation volume (m 3 / s);

[0092] g is the acceleration due to gravity.

[0093] When establishing the wind network model, by inputting the geometric parameters of the cavern and the characteristics of each fan, the wind network solution algorithm will calculate the wind speed, air volume and pressure of each node, thereby providing accurate flow information for the simulation of the pollutant diffusion path. Figure 2 For the ventilation network model that needs to be calculated, the complex underground passage can be simplified into a clear ventilation network diagram, and the wind network can be solved based on this diagram. Figure 2 Among them, 1-outdoor node A, 2-ventilation tunnel, 3-traffic tunnel, 4-ventilation machine room, 5-main transformer ventilation branch, 6-drainage corridor, 7-tail gate traffic road branch, 8-generator layer, 9-first equipment layer, 10-outlet tunnel, 11-second equipment layer, 12-third equipment layer, 13-busbar layer, 14-turbine layer, 15-volute layer, 16-eighth floor of main and auxiliary plant buildings, 17-seventh floor of main and auxiliary plant buildings, 18-sixth floor of main and auxiliary plant buildings, 19-fifth floor of main and auxiliary plant buildings. 20-the fourth floor of the main and auxiliary plant buildings, 21-the third floor of the main and auxiliary plant buildings, 22-the second floor of the main and auxiliary plant buildings, 23-the first floor of the main and auxiliary plant buildings, 24-node A on each floor, 25-node B on each floor, 26-busbar tunnel, 27-tailwater pipe layer, 28-tail gate exhaust passage, 29-construction branch tunnel, 30-main transformer exhaust passage, 31-exhaust horizontal tunnel, 32-exhaust machine room, 33-exhaust shaft, 34-outdoor node B.

[0094] Pollutant dispersion simulation:

[0095] The pollutant diffusion simulation is performed using the wind network solution algorithm, and the diffusion path and concentration distribution of pollutants are simulated in combination with the air flow model. The mathematical model of pollutant diffusion is as follows:

[0096]

[0097] C: Pollutant concentration (mg / m 3 );

[0098] t: time (s);

[0099] v: air velocity vector (m / s);

[0100] D: Diffusion coefficient (m 2 / s);

[0101] S: Pollution source term (mg / m 3 / s)

[0102] Based on this equation, the wind network solution algorithm calculates the pollutant concentration at different time periods and different spatial locations, and displays the path of pollutant diffusion.

[0103] Dynamic control of fans:

[0104] One of the innovations of the present invention is to dynamically control the operating status of the fan according to the results of the wind network solution. By analyzing the diffusion path and concentration distribution of pollutants, the system can intelligently control the start and stop of the fan, the air volume adjustment and the fan combination, thereby improving ventilation efficiency. In particular, in areas with high pollutant concentrations, the fan will be turned on quickly to provide sufficient air volume to dilute the pollutants; in areas with less pollutants or good flow conditions, the system will reduce the fan speed or shut down some fans, thereby achieving energy saving effects.

[0105] The fan control strategy is: based on the pollutant diffusion path and concentration distribution, the system will automatically identify the key nodes of pollutant diffusion, and start the corresponding fans according to the optimal strategy to accelerate pollutant emissions.

[0106] The objectives of the fan control strategy are:

[0107]

[0108] P opt : air flow velocity vector (m / s);

[0109] E i : Energy consumption function of the i-th fan;

[0110] Q i :Fan air volume(m 3 / s).

[0111] By adjusting the fan air volume, energy consumption can be optimized to the greatest extent and unnecessary energy waste can be reduced.

[0112] Pollutant dilution and rapid discharge: The system adjusts the fan operation status according to the real-time changes in pollutant concentration to achieve rapid dilution and discharge of pollutants. Through this intelligent regulation, the pollutant concentration can be reduced to a safe level in the shortest time, thereby ensuring the safety of the construction environment and effectively protecting the health of construction workers.

[0113] Real-time feedback and adaptive adjustment: In order to improve the adaptability of the system, the present invention monitors the pollutant concentration in real time and automatically feeds back to the control system to further optimize the fan control strategy. This adaptive adjustment function ensures that the ventilation system can respond quickly under different pollution source conditions and adjust the ventilation strategy according to the actual situation to ensure ventilation efficiency and safety.

[0114] Therefore, the present invention provides an underground cavern construction blasting ventilation control system based on wind network solution, comprising:

[0115] Gas sensor modules are arranged in key areas such as near blasting points, ventilation duct nodes and exhaust shafts. The gas sensors have fast response capabilities and anti-interference performance, and can adapt to high dust and high humidity conditions in the construction environment.

[0116] Pollution source detection module, used to monitor pollutants (including CO, NO x ) concentration, and transmit the monitoring data to the control system module;

[0117] The control system module is used to receive gas sensor data, combine the cavern geometry and initial environmental parameters, simulate the pollutant diffusion path through wind network solution, and calculate the optimal fan control strategy, including dynamic adjustment of fan air volume, wind speed and operation combination; among them: the control system module simulates the ventilation path through the integrated wind network solution algorithm, including the following steps: import the cavern geometry, fan layout and initial environmental parameters, and build a wind network model; use the pollution source concentration detection data to calculate the pollutant diffusion path and concentration distribution; analyze the key nodes according to the pollutant diffusion path and output the fan control strategy.

[0118] The fan control module is used to dynamically adjust the operating status of the fan according to the control strategy output by the control system, including the opening and closing of the fan and the adjustment of the air volume;

[0119] Data feedback is used to feed back the pollutant concentration adjusted by the ventilation system to the control system in real time to optimize the ventilation control strategy and form a closed-loop control mechanism.

[0120] The present invention provides a method for controlling blasting ventilation in underground cavern construction based on wind network solution, which is applicable to various complex underground construction environments, including but not limited to underground caverns, tunnel engineering and mine construction scenes, and comprises the following steps:

[0121] Real-time pollutant monitoring: monitor the pollutant concentration after blasting operation through gas sensors, and input the data into the wind network solution and diffusion simulation module in the control system;

[0122] Wind network solution and diffusion simulation module: Use the wind network solution algorithm integrated in the control system to simulate the pollutant diffusion path, generate concentration distribution diagrams, and determine key nodes;

[0123] Fan dynamic control module: According to the wind network solution results, the fan operating status is controlled, including turning on, off or adjusting the fan air volume to optimize air flow; when controlling the fan operation, fans in areas with higher pollutant concentrations are turned on first, and the shortest emission path is planned to quickly guide pollutants to the exhaust shaft.

[0124] The control system includes an adaptive control module that can adjust the wind network model parameters according to the real-time feedback data from the sensor, thereby dynamically optimizing the fan operation strategy. The control system has an energy-saving mode, which reduces the operation of fans in non-critical areas and reduces energy consumption when the pollutant concentration reaches the safety standard.

[0125] Real-time feedback optimization: By monitoring the pollutant concentration after regulation, the fan operation strategy is adjusted until the pollutant concentration drops below the safety threshold.

[0126] The specific usage process is as follows:

[0127] 1. Data import: Use modeling software to build a wind network model, which includes the geometric structure of the cavern, the layout of the ventilation system (including fan location, pipe specifications), and match it with the wind network solution algorithm, input the initial environmental parameters (such as air density, temperature and humidity), and set the location of the pollution source and the possible diffusion area.

[0128] 2. Model construction: According to the actual situation of the cavern, a wind network model including fans, pipes, shafts and other ventilation paths is established. The initial model needs to set fan performance parameters (such as air volume, pressure curve), and define the release rate and concentration of the pollution source.

[0129] 3. Verification and testing Verification and testing: Before actual operation, verify the accuracy of the model by simulating different working conditions (such as no pollution and high pollution after blasting), and adjust the model parameters to make them consistent with the actual situation.

[0130] 4. Data collection: Real-time pollutant concentrations detected by gas sensors (such as CO, NO x ) is transmitted to the control system through the data interface. The data point of each sensor is marked with a specific location to build a three-dimensional model of pollutant concentration distribution.

[0131] 5. Data processing: The control system cleans and filters the data fed back by the sensors, removes possible noise or abnormal values, and inputs the data into the wind network solution algorithm as the real-time initial condition for the wind network solution.

[0132] 6. Simulation process: In the wind network solution algorithm, the pollutant concentration monitored in real time and the wind network model are combined to perform real-time simulation of pollutant diffusion and calculate the changes in wind speed, wind pressure and pollutant concentration at each node.

[0133] 7. Result output: simulate and output pollutant diffusion path map and concentration distribution map, mark key pollution nodes and areas, and determine the parts of the wind network system that need to be adjusted (such as areas where air volume needs to be increased)

[0134] 8. Decision-making mechanism: Based on the solution results, the control system dynamically generates a fan control strategy. Fans on the pollutant diffusion path are turned on first, and fan operating parameters are optimized according to the concentration distribution map.

[0135] 9. Fan operation adjustment: adjust the fan air volume to increase or decrease the air flow through a specific area; turn on or off specific fans to form the best air flow path; optimize the fan combination to reduce energy waste caused by running multiple fans at the same time.

[0136] 10. Feedback optimization: After regulation, monitor the new pollutant concentration in real time to determine whether the ventilation effect meets expectations. If the concentration does not meet the safety standard, further adjust the fan parameters until the pollutant concentration meets the safety requirements.

[0137] 11. Target concentration setting: The system sets the safe concentration threshold of pollutants according to industry standards (such as CO<10mg / m 3 ).

[0138] 12. Emission path design: The control system prioritizes planning the shortest path to quickly guide pollutants from the diffusion source to the exhaust outlet or exhaust shaft, while ensuring that the air quality in the construction area improves rapidly.

[0139] 13. Completion standard: When the pollutant concentration drops below the safety threshold and remains stable for more than 5 minutes, the system determines that the ventilation task is completed.

[0140] The advantages of the present invention are:

[0141] Precise control: Through the wind network solution algorithm, the diffusion path of pollutants inside the cavern can be accurately simulated to optimize the fan configuration.

[0142] Efficient dilution: Real-time adjustment of fan operating parameters to quickly dilute and discharge pollutants generated by explosions.

[0143] Energy saving and consumption reduction: According to the actual diffusion of pollutants, adjust the fan operating parameters to avoid ineffective energy consumption.

[0144] Strong adaptability: It can dynamically respond to changes in pollutant concentrations after different blasting operations and automatically adjust the ventilation system.

[0145] The present invention provides an underground cavern construction blasting ventilation control system and method based on wind network solution, which more accurately simulates the diffusion path of pollutants through real-time calculation of the underground ventilation network by the wind network solution algorithm, and regulates the operation of the fan according to the result, thereby efficiently diluting and discharging harmful gases. The present invention combines pollution source monitoring with wind network solution simulation, and can dynamically regulate the operation of the fan according to real-time data, so as to achieve rapid dilution and efficient discharge of pollutants after underground cavern blasting operations.

[0146] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be considered as the scope of protection of the present invention.

Claims

1. A blasting ventilation control system for underground cavern construction based on wind network solution, characterized in that: include: The pollution source detection module is used to detect the pollutant concentration at each key node of the underground cavern in real time, obtain the pollutant concentration distribution data, and transmit it to the control system module in real time; A control system module is used to receive the pollutant concentration distribution data uploaded by the pollution source detection module in real time, and simulate the pollutant diffusion path through wind network solution in combination with the underground cavern geometry and environmental parameters, so as to obtain the current optimal fan control strategy, and send it to the fan control module; A fan control module, used to dynamically adjust the operating state of the fan according to the optimal fan control strategy output by the control system module, including opening, closing and air volume adjustment of each fan; The data feedback module is used to feed back the pollutant concentration adjusted by the fan control module to the control system module in real time, so as to optimize the best fan control strategy and form a closed-loop control mechanism.

2. According to claim 1, a ventilation control system for underground cavern construction blasting based on wind network solution is characterized in that: The pollution source detection module is connected to a plurality of pollutant detection sensors distributed at key nodes of the underground cavern, and then the pollutant concentrations at the key nodes of the underground cavern are obtained through the pollutant detection sensors.

3. The underground cavern construction blasting ventilation control system based on wind network solution according to claim 2 is characterized in that: The pollutant detection sensors are arranged around the blasting points during construction of underground caverns, at ventilation duct nodes and in key areas of exhaust shafts.

4. The underground cavern construction blasting ventilation control system based on wind network solution according to claim 1 is characterized in that: The control system module is specifically used for: Import underground cavern geometry, fan layout parameters, fan performance parameters and environmental parameters to build a wind network model; Based on the wind network model, using the pollutant concentration and adopting the wind network solution algorithm, the pressure difference of the wind network nodes is calculated, so as to simulate the pollutant diffusion path and pollutant concentration distribution based on the pollutant diffusion model; According to the pollutant diffusion path and pollutant concentration distribution, the pollutant concentration at the key node is analyzed and the optimal fan control strategy is output.

5. The underground cavern construction blasting ventilation control system based on wind network solution according to claim 4 is characterized in that: The wind network solution algorithm uses the following formula to obtain the pressure difference of the wind network nodes: ΔP=ρ·g·H+KQ 2 Where: ΔP: pressure difference of wind network nodes; ρ: air density; H: height difference of wind network nodes; K: wind resistance coefficient; Q: ventilation volume; g is gravity acceleration; The pollutant diffusion model is: Where: C: pollutant concentration; t: time; v: air flow velocity vector; D: diffusion coefficient; S: pollution source term.

6. The underground cavern construction blasting ventilation control system based on wind network solution according to claim 4 is characterized in that: In the optimal fan control strategy, the objectives of the fan control strategy are: Where: P opt : air flow velocity vector; E i : Energy consumption function of the i-th fan; Q i : fan air volume; n is the number of fans; On the basis of meeting the objectives of the fan control strategy, fans in areas with higher pollutant concentrations are turned on first, and the shortest emission path is planned to quickly guide pollutants to the exhaust shaft.

7. The underground cavern construction blasting ventilation control system based on wind network solution according to claim 4 is characterized in that: The control system module also includes an adaptive control module; The adaptive control module is used to adjust the model parameters of the wind network model using the current pollutant concentration; and then enable the wind network solution algorithm to perform wind network solution based on the adjusted wind network model.

8. A method for controlling blasting ventilation in underground cavern construction based on wind network solution, characterized in that: The following steps are involved: Step S1, arranging pollutant detection sensors at each key node of the underground cavern; each of the pollutant detection sensors detects the pollutant concentration of each key node of the underground cavern in real time, and uploads it to the pollution source detection module in real time; Step S2, the pollution source detection module transmits the obtained current pollutant concentration of each key node to the control system module in real time; Step S3, the control system module first determines whether the current pollutant concentration of each key node exceeds the threshold. If none of them exceeds the threshold, the wind network solution and fan control steps are not started; if there is a key node where the pollutant concentration exceeds the threshold, step S4 is executed; Step S4, the control system module sends the pollutant concentration of each key node to the adaptive control module; Step S5, the adaptive control module uses the current pollutant concentration to adjust the model parameters of the wind network model, specifically adjusting the fan performance parameters and environmental parameters of the wind network model to obtain the wind network model with adjusted model parameters; Step S6, the wind network solution module adopts a wind network solution algorithm to perform wind network solution based on the wind network model with adjusted model parameters, calculates the pressure difference of each wind network node, and then simulates the pollutant diffusion path and pollutant concentration distribution based on the pollutant diffusion model; Step S7, the wind network solution module generates the current optimal fan control strategy according to the obtained pollutant diffusion path and pollutant concentration distribution, and sends it to the fan control module; Step S8, the fan control module dynamically adjusts the operating state of the fan according to the optimal fan control strategy output by the control system module, including opening, closing and air volume adjustment of each fan; The pollutant concentration adjusted by the fan control module is fed back to the pollution source detection module through the pollutant detection sensor, thus forming a closed-loop control mechanism.

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