Intelligent Dosing System and Method for Sewage Treatment in Railway Tunnels Based on Blasting Trigger

Abstract

The present application provides a kind of railway tunnel sewage intelligent dosing system and method based on blasting trigger, system includes blasting perception module, for detecting the blasting vibration waveform in railway tunnel, and the peak period of sewage is predicted in combination with charge quantity and rock hardness;Water quality monitoring module is used to monitor the water quality parameter of sewage in railway tunnel;Environment monitoring module is used to monitor the environmental parameter in the preset range of sewage in railway tunnel;Control center module is used to receive the peak period of sewage, the water quality parameter and the environmental parameter, and generates dosing instruction;And execution module is used to dose according to the dosing instruction, to the sewage, realizes the accurate prediction of tunnel blasting sewage, rapid response and dynamic dosing, effectively improves sewage treatment efficiency, reduces reagent consumption and sludge production, significantly improves the intelligent level and environmental adaptability of railway tunnel sewage treatment.

Description

Technical Field

[0001] This invention relates to the field of tunnel sewage treatment technology, and in particular to an intelligent chemical dosing system and method for railway tunnel sewage based on blasting triggering. Background Technology

[0002] Drill-and-blast is a common construction method in railway tunnel construction. However, this method generates a large amount of wastewater containing blasting residues, suspended solids, and heavy metals after the blasting operation, posing a potential environmental pollution hazard. The wastewater has a complex composition, and its quality changes rapidly after blasting, presenting a significant challenge to wastewater treatment.

[0003] Currently, wastewater treatment chemical dosing methods mainly include traditional manual dosing and conventional automatic dosing systems. Traditional manual dosing methods suffer from low dosing accuracy and slow response speed, making it difficult to meet the treatment needs of rapidly changing blasting wastewater. While conventional automatic dosing systems improve the automation level of dosing to some extent, they rely on fixed programs and cannot adapt to the intermittent pollution characteristics of blasting operations, resulting in unstable treatment effects. Summary of the Invention

[0004] This invention provides an intelligent chemical dosing system and method for railway tunnel sewage based on blasting triggering, in order to solve the technical problem that existing technologies cannot achieve efficient and accurate treatment of tunnel sewage.

[0005] On one hand, this invention provides an intelligent sewage dosing system for railway tunnels based on blasting triggering, comprising:

[0006] The blasting sensing module is used to detect blasting vibration waveforms in railway tunnels and predict peak sewage periods by combining the charge amount and rock hardness.

[0007] The water quality monitoring module is used to monitor the water quality parameters of sewage in railway tunnels;

[0008] The environmental monitoring module is used to monitor environmental parameters within a preset range of sewage in railway tunnels;

[0009] The control center module is used to receive the peak sewage period, the water quality parameters, and the environmental parameters, and generate dosing instructions;

[0010] An execution module is used to administer chemicals into the wastewater according to the dosing instruction.

[0011] According to the present invention, a smart chemical dosing system for sewage in railway tunnels based on blasting triggering is provided, wherein the blasting sensing module includes:

[0012] The vibration sensor unit is installed at the working face of the railway tunnel to detect blasting vibration waveforms.

[0013] The blasting timing analysis unit is used for:

[0014] Receive the blasting vibration waveform, as well as the charge amount and rock hardness corresponding to the blasting;

[0015] Extract the characteristic parameters of the blasting vibration waveform; wherein, the characteristic parameters include vibration frequency, amplitude and duration;

[0016] Based on historical blasting data and historical wastewater monitoring data, establish the correlation between blasting and peak wastewater levels;

[0017] Using the charge amount, the rock mass hardness, and the characteristic parameters, and in conjunction with the correlation, the peak period of sewage discharge is predicted.

[0018] According to the present invention, a smart chemical dosing system for wastewater in railway tunnels based on blasting triggering is provided, wherein the water quality monitoring module includes:

[0019] A multi-parameter monitoring unit is used to monitor the initial water quality parameters of sewage in railway tunnels; wherein the water quality parameters include turbidity, pH value, chemical oxygen demand, oxidation-reduction potential and heavy metal ion concentration.

[0020] Data calibration unit, used for:

[0021] The initial water quality parameters are cleaned and smoothed to obtain the target parameters.

[0022] By comparing the measurement results of standard samples of water quality parameters, the target parameters are calibrated to eliminate systematic and random errors between sensors, and the final water quality parameters are obtained.

[0023] According to the present invention, a smart chemical dosing system for railway tunnel wastewater based on blasting triggering is provided, wherein the environmental monitoring module includes:

[0024] The wind detection unit is used to monitor the wind speed and direction within a preset range of sewage in railway tunnels.

[0025] According to the present invention, a smart chemical dosing system for sewage in railway tunnels based on blasting triggering is provided, wherein the control center module is used for:

[0026] Receive peak sewage discharge periods, water quality parameters, and wind speed;

[0027] Determine the initial dosing time based on the peak sewage discharge period;

[0028] Determine the dosage and component ratio of the pesticide based on water quality parameters;

[0029] The amount of compensating agent to be applied is adjusted according to wind speed and direction.

[0030] A dosing instruction is generated based on the dosing time, the dosing amount, the component ratio, and the compensation amount.

[0031] According to the present invention, a smart chemical dosing system for sewage in railway tunnels based on blasting triggering is provided, wherein the compensation dosage for adjusting the dosage according to wind speed and wind direction includes:

[0032] Based on the wind speed and the wind direction, determine the angle between the wind direction and the diffusion direction of the sewage, as well as the influence coefficient of the wind on the diffusion of sewage;

[0033] Based on the wind speed, the included angle, and the influence coefficient, the compensation amount of the drug is obtained.

[0034] According to the present invention, a smart chemical dosing system for sewage in railway tunnels based on blasting triggering is provided. The step of determining the angle between the wind direction and the sewage diffusion direction, and the influence coefficient of wind on sewage diffusion, based on the wind speed and wind direction, includes:

[0035] To determine the direction of wastewater diffusion;

[0036] Based on the diffusion direction and the wind direction, the included angle between the two is obtained;

[0037] Based on the included angle and the wind speed, the influence coefficient of wind on sewage diffusion is obtained.

[0038] According to the present invention, a smart chemical dosing system for sewage in railway tunnels based on blasting triggering is provided, wherein the execution module is further configured to:

[0039] Adjust the swing angle and / or swing frequency of the dosing motion according to the wind speed and direction.

[0040] The intelligent chemical dosing system for railway tunnel sewage based on blasting triggering provided by the present invention further includes:

[0041] Power supply module, used to provide power support;

[0042] The power supply module includes:

[0043] A wind power generation unit used to generate electricity using wind power;

[0044] Photovoltaic power generation units are used to generate electricity through sunlight;

[0045] A storage unit is used to store the electrical energy generated by the wind power generation unit and the photovoltaic power generation unit.

[0046] On the other hand, the present invention also provides a method for intelligent chemical dosing of sewage in railway tunnels based on blasting triggering, the method being applied to the intelligent chemical dosing system for sewage in railway tunnels based on blasting triggering described in any one of the above-mentioned methods, the method comprising:

[0047] Detect the blasting vibration waveform inside the railway tunnel and predict the peak sewage period by combining the charge amount and rock hardness;

[0048] Monitoring water quality parameters of wastewater in railway tunnels;

[0049] Monitor environmental parameters within a preset range for sewage in railway tunnels;

[0050] Receive the peak sewage period, the water quality parameters, and the environmental parameters, and generate a dosing command;

[0051] According to the dosing instruction, the chemical is added to the wastewater.

[0052] The present invention provides an intelligent chemical dosing system and method for railway tunnel wastewater based on blasting triggering. By accurately detecting blasting vibrations and predicting peak wastewater periods through a blasting sensing module, and combining this with a water quality monitoring module and an environmental monitoring module to acquire wastewater parameters and environmental information in real time, a control center module generates a dosing command, and the execution module adds chemicals to the wastewater accordingly. This achieves accurate prediction, rapid response, and dynamic dosing of wastewater from tunnel blasting, effectively improving wastewater treatment efficiency, reducing chemical consumption and sludge production, and significantly enhancing the intelligence level and environmental adaptability of railway tunnel wastewater treatment. Attached Figure Description

[0053] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0054] Figure 1 This is a schematic diagram of the intelligent chemical dosing system for railway tunnel sewage based on blasting triggering provided in an embodiment of the present invention;

[0055] Figure 2 This is a schematic diagram of the architecture of the intelligent sewage dosing system for railway tunnels based on blasting triggering provided in an embodiment of the present invention;

[0056] Figure 3 This is a schematic diagram of the architecture of the power supply module provided in an embodiment of the present invention;

[0057] Figure 4 This is a schematic diagram of the hydraulically driven throwing arm provided in an embodiment of the present invention;

[0058] Figure 5 This is a flowchart illustrating the intelligent chemical dosing method for sewage in railway tunnels based on blasting triggering, provided in an embodiment of the present invention.

[0059] Figure 6 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0061] Figure 1 This is a schematic diagram of the intelligent chemical dosing system for sewage in railway tunnels based on blasting triggering, provided in an embodiment of the present invention.

[0062] See Figure 1 The intelligent chemical dosing system for sewage in railway tunnels based on blasting triggering 10 may include a blasting sensing module 101, a water quality monitoring module 102, an environmental monitoring module 103, a control center module 104, and an execution module 105.

[0063] The blasting sensing module 101 is used to detect blasting vibration waveforms in railway tunnels and predict peak sewage periods by combining the charge amount and rock hardness.

[0064] The water quality monitoring module 102 is used to monitor the water quality parameters of sewage in railway tunnels.

[0065] The environmental monitoring module 103 is used to monitor environmental parameters within a preset range of sewage in railway tunnels.

[0066] The control center module 104 is used to receive peak sewage periods, water quality parameters, and environmental parameters, and to generate dosing instructions.

[0067] The execution module 105 is used to add chemicals to the wastewater according to the dosing instruction.

[0068] In this embodiment, the blasting sensing module 101 accurately detects blasting vibrations and predicts peak sewage periods. Combined with the water quality monitoring module 102 and the environmental monitoring module 103, sewage parameters and environmental information are acquired in real time. The control center module 104 generates a dosing command, and the execution module 105 adds chemicals to the sewage accordingly. This achieves accurate prediction, rapid response, and dynamic dosing of sewage from tunnel blasting, effectively improving sewage treatment efficiency, reducing chemical consumption and sludge production, and significantly enhancing the intelligence level and environmental adaptability of railway tunnel sewage treatment.

[0069] In one embodiment of this specification, the blasting sensing module 101 includes a vibration sensor unit 1011 and a blasting timing analysis unit 1012.

[0070] Vibration sensor unit 1011 is installed at the working face of a railway tunnel to detect blasting vibration waveforms;

[0071] The blasting timing analysis unit 1012 is used for:

[0072] Receive blasting vibration waveforms, as well as the charge amount and rock hardness corresponding to the blasting;

[0073] Extract the characteristic parameters of the blasting vibration waveform; among which, the characteristic parameters include vibration frequency, amplitude and duration, etc.

[0074] Based on historical blasting data and historical wastewater monitoring data, establish the correlation between blasting and peak wastewater levels;

[0075] By using the charge amount, rock hardness, and characteristic parameters, and combining the correlation, the peak period of sewage discharge can be predicted.

[0076] In this embodiment, the peak sewage period may include the time point when the sewage peak occurs and the changing trend of sewage composition. The charge amount and rock hardness corresponding to the blasting can be known in advance, for example, it can be provided by the construction management system and transmitted to the blasting sensing module 101 through the data interface.

[0077] Historical blasting data can include charge quantity (the amount of explosive used in each blast), rock hardness (the physical properties of the rock in the blasting area, such as uniaxial compressive strength), blasting vibration characteristics (vibration frequency, amplitude, and duration detected by vibration sensors), blasting distance (the distance between the blasting point and the monitoring point), and blasting method (such as pre-splitting blasting, smooth blasting, etc.). Historical wastewater monitoring data refers to data obtained by monitoring wastewater after blasting operations, including the time of wastewater peak occurrence, peak intensity, and wastewater composition change trends. The time of wastewater peak occurrence is the point in time when various wastewater indicators (such as turbidity, COD, etc.) reach their peak values ​​after the blast. The peak intensity is the specific value of each wastewater indicator at its peak. The wastewater composition change trend is the change of wastewater composition over time after the blast.

[0078] Establishing a correlation between blasting operations and wastewater peak flow involves analyzing historical blasting and wastewater monitoring data to identify the mathematical relationship between blasting parameters and wastewater peak flow. Generally, statistical analysis, machine learning, or other data analysis methods can be used to find the correlation between blasting parameters and wastewater peak flow. When a new blasting operation is underway, the system can use the current charge amount, rock hardness, and characteristic parameters as inputs to the established correlation, thereby predicting the timing and intensity of wastewater peak flow.

[0079] The relationship between peak turbidity of wastewater and blasting is illustrated in Table 1 below:

[0080] Table 1

[0081]

[0082] Based on Table 1 above, a relationship model between the charge amount (dosage amount) and turbidity can be obtained, which can be expressed as C. max =286×Q 0.78 , where C max denoted as turbidity, and Q as the dosage of the drug.

[0083] This embodiment introduces a vibration sensor unit 1011 and a blasting timing analysis unit 1012 into the blasting sensing module 101, achieving accurate detection of blasting vibration waveforms and extraction of characteristic parameters. By combining key information such as charge amount and rock hardness, and using historical data, a correlation is established between blasting and sewage peak values. This allows for early prediction of the occurrence time and intensity of sewage peak values, significantly improving the accuracy and timeliness of sewage treatment. The system can then perform timely and accurate dosing operations after blasting, effectively improving sewage treatment efficiency.

[0084] In one embodiment of this specification, the water quality monitoring module 102 includes a multi-parameter monitoring unit 1021 and a data calibration unit 1022.

[0085] The multi-parameter monitoring unit 1021 is used to monitor the initial water quality parameters of sewage in railway tunnels; among which, the water quality parameters include turbidity (NTU), pH value, chemical oxygen demand (COD), oxidation-reduction potential (ORP) and heavy metal ion concentration;

[0086] Data calibration unit 1022 is used for:

[0087] The initial water quality parameters are cleaned and smoothed to obtain the target parameters.

[0088] By comparing the measurement results of standard samples of water quality parameters, the target parameters are calibrated to eliminate systematic and random errors between sensors, and the final water quality parameters are obtained.

[0089] In this embodiment, examples of the composition of the wastewater after the blast are shown in Table 2 below:

[0090] Table 2

[0091]

[0092] Turbidity can be measured using a multispectral turbidimeter, which utilizes specific wavelengths of light (such as 850nm and 550nm) to detect the scattering and absorption of light by suspended particles in water, thereby calculating turbidity. A pH sensor, based on electrochemical principles, determines pH by measuring the concentration of hydrogen ions in an aqueous solution. A chemical oxygen demand (COD) sensor measures the organic matter content in wastewater through chemical reactions (such as the potassium dichromate method). An ORP sensor, based on electrochemical principles, assesses the redox state of water quality by measuring the redox potential in an aqueous solution. Heavy metal ion sensors can detect the concentration of specific heavy metal ions in wastewater; common detection methods include electrochemical and spectroscopic methods. Wastewater from blasting may contain heavy metal ions such as lead (Pb), cadmium (Cd), mercury (Hg), chromium (Cr), and nickel (Ni). Trinitrotoluene (TNT) can be detected using EPA 8330B high-performance liquid chromatography.

[0093] Data cleaning involves removing outliers, noise, and erroneous data, which may be caused by sensor malfunctions, signal interference, or changes in the measurement environment. Smoothing, on the other hand, uses mathematical methods (such as moving averages and median filtering) to smooth the data, reducing fluctuations and making it more stable.

[0094] Standard samples are pre-prepared water quality samples with known concentrations or characteristics. The measurement results of these samples have been rigorously calibrated and verified, serving as a reference standard. The purpose of standard samples is to provide a known and reliable benchmark for evaluating and calibrating sensor measurement results. Using the same sensors and equipment as the actual measurements, the standard samples are measured to obtain their measurement results. Comparing the sensor's measurement results with the true values ​​of the standard samples reveals the deviation between the sensor's measurement results and the true values. Based on the deviation, the target parameters are calibrated.

[0095] In one embodiment of this specification, the environmental monitoring module 103 includes a wind detection unit 1031.

[0096] The wind detection unit 1031 is used to monitor the wind speed and direction within a preset range of sewage in the railway tunnel. The environmental monitoring module 103 may also include a temperature detection unit and a humidity detection unit, etc.

[0097] In one embodiment of this specification, the control center module 104 is used for:

[0098] Receive peak sewage discharge periods, water quality parameters, and wind speed;

[0099] Determine the initial dosing time based on the peak sewage discharge period;

[0100] Determine the dosage and component ratio of the pesticide based on water quality parameters;

[0101] The amount of compensating agent to be applied is adjusted according to wind speed and direction.

[0102] Based on the drug administration time, dosage, component ratio, and compensation dosage, a drug administration instruction is generated.

[0103] In this embodiment, to ensure the agent's effectiveness during the peak wastewater period, it needs to be administered before the peak occurs. The advance dosage can be determined based on the accuracy of the wastewater peak prediction and the agent's reaction time. For example, if the predicted wastewater peak will occur 30 minutes after the blast, and the agent requires 10 minutes of reaction time, the initial dosage can be set 20 minutes after the blast. The dosage and component ratio of the agent are determined based on water quality parameters, generally using historical experience data or theoretical calculations. Historical experience data refers to the dosage and component ratio corresponding to various past water quality parameters. The current dosage and component ratio are then compared with past water quality parameters.

[0104] This embodiment determines the initial dosing time based on the peak sewage period, and determines the dosage and composition ratio of the dosing agent according to the water quality parameters. It also adjusts the compensation dosage in combination with wind speed and wind direction. This dosing strategy, which takes into account multiple factors, can better meet the needs of the instantaneous changes in sewage after blasting, improve sewage treatment efficiency, and reduce chemical consumption and sludge production.

[0105] In one embodiment of this specification, the compensation dosage for adjusting the dosage based on wind speed and wind direction includes:

[0106] Based on wind speed and wind direction, determine the angle between the wind direction and the direction of sewage diffusion, as well as the influence coefficient of wind on sewage diffusion;

[0107] Based on wind speed, angle, and influence coefficient, the compensation amount of the pesticide is obtained.

[0108] In this embodiment, the influence coefficient is a quantitative indicator used to describe the actual impact of wind speed and angle on wastewater diffusion. It is usually a value calculated through experiments or models, reflecting the changes in parameters such as the diffusion speed and range of wastewater under specific wind speed and angle conditions. For example, if the wind speed is high and the angle is small (i.e., the wind direction is close to the direction of wastewater diffusion), the influence coefficient may be large, indicating that the wind has a strong promoting effect on wastewater diffusion; if the wind speed is low or the angle is large, the influence coefficient may be small.

[0109] The amount of compensation medication can be expressed by the following formula (1):

[0110] (1);

[0111] Where, ΔQ To compensate for the dosage, K For the influence coefficient, | V | represents wind speed. θ The included angle.

[0112] In this embodiment, the angle between the wind direction and the sewage diffusion direction, as well as the influence coefficient of wind on sewage diffusion, are determined to calculate the compensation dosage. The dosage can be dynamically adjusted according to the actual environmental conditions to compensate for the influence of wind on sewage diffusion, ensuring that the agent can be more effectively distributed and act on the sewage, thereby improving the efficiency and effect of sewage treatment.

[0113] In one embodiment of this specification, the angle between the wind direction and the diffusion direction of sewage, as well as the influence coefficient of wind on sewage diffusion, are determined based on wind speed and wind direction, including:

[0114] To determine the direction of wastewater diffusion;

[0115] Based on the diffusion direction and wind direction, the included angle between the two is obtained;

[0116] The influence coefficient of wind on wastewater diffusion is obtained based on the included angle and wind speed.

[0117] The influence coefficient can be expressed by the following formula (2):

[0118] (2);

[0119] in, C 0 is the baseline impact coefficient, which is a pre-defined constant used to represent the baseline impact of wastewater diffusion under windless conditions; α It is the wind speed influence factor, which is also a pre-set constant used to adjust the degree of contribution of wind speed to the influence coefficient.

[0120] In this embodiment, the method of determining the angle between the wind direction and the sewage diffusion direction and the influence coefficient of wind on sewage diffusion based on wind speed and wind direction is further refined. This enables the dosing system to respond more accurately to environmental changes and optimize the dosing strategy of the agent. As a result, it can maintain high-efficiency sewage treatment performance under different wind speeds and wind directions, thereby enhancing the flexibility and adaptability of the system.

[0121] In one embodiment of this specification, the execution module 105 is further configured to:

[0122] Adjust the swing angle and / or swing frequency of the dosing motion according to the wind speed and direction.

[0123] In this embodiment, when adjusting the swing angle of the dosing action, for example, if the wind speed is high and the wind direction is consistent with the sewage diffusion direction, the execution module 105 may increase the swing angle so that the agent can cover a wider area to counteract the accelerating effect of wind speed on sewage diffusion. If the wind direction is perpendicular to the sewage diffusion direction, the swing angle can be appropriately reduced. When adjusting the swing frequency, in the case of high wind speed, more frequent dosing may be required to ensure that the agent can mix with the sewage in time; in the case of low wind speed or no wind, the swing frequency can be reduced to reduce agent waste. This embodiment can ensure that the agent can be effectively distributed and act on the sewage under different environmental conditions, thereby improving the efficiency and effect of sewage treatment.

[0124] In one embodiment of this specification, the intelligent sewage dosing system 10 for railway tunnels based on blasting triggering further includes:

[0125] Power supply module 106 is used to provide power support;

[0126] The power supply module 106 includes a wind power generation unit 1061, a photovoltaic power generation unit 1062, and a storage unit 1063.

[0127] The wind power generation unit 1061 is used to generate electricity using wind power;

[0128] Photovoltaic power generation unit 1062 is used to generate electricity through sunlight;

[0129] Storage unit 1063 is used to store electrical energy generated by wind power generation unit 1061 and photovoltaic power generation unit 1062.

[0130] In this embodiment, by combining wind power generation and solar power generation technologies and equipping it with energy storage devices, the intelligent sewage dosing system 10 for railway tunnels can operate stably under various environmental conditions, thereby enhancing the system's reliability and adaptability while reducing dependence on external power. The wind power generation unit 1061 can be a vertical axis wind turbine. The photovoltaic power generation unit 1062 can be a foldable photovoltaic panel. The power supply module 106 can output up to 1.5kW. The energy stored in the storage unit can supply power for more than 4 hours.

[0131] In some other embodiments of this specification, the control center module 104 may employ a fuzzy PID algorithm. The input variables include turbidity error e (the difference between the currently measured wastewater turbidity and the target turbidity) and error change rate ec (the rate of change of turbidity error over time, i.e., the speed of error change). The output variables are ΔKp (the adjustment amount of the proportional gain, used to dynamically adjust the proportional part of the PID controller), ΔKi (the adjustment amount of the integral gain, used to dynamically adjust the integral part of the PID controller), and ΔKd (the adjustment amount of the derivative gain, used to dynamically adjust the derivative part of the PID controller). The initial rule base can be optimized through a genetic algorithm.

[0132] The training process of the fuzzy PID algorithm is shown below.

[0133] Step 1: Collect historical blasting data, which may include blasting parameters, wastewater quality parameters, etc.

[0134] Step 2: Normalize the historical blasting data and remove outliers.

[0135] Step 3: Initialize the rule base for fuzzy PID, which means defining fuzzy sets and fuzzy rules.

[0136] Step 4: Optimize the initial rule base of the fuzzy PID controller using a genetic algorithm.

[0137] Step 5: Fitness calculation, which means calculating the fitness of the current rule base in each iteration of the genetic algorithm, that is, evaluating the effectiveness of its control.

[0138] Step 6: Determine if convergence has occurred.

[0139] Check whether the genetic algorithm has converged, that is, whether the evaluation result has reached the preset optimization goal or whether a sufficient number of iterations have been performed.

[0140] If the algorithm has not yet converged (no), then continue with the selection / crossover / mutation operations.

[0141] If the algorithm has converged (yes), then the optimized rule base is output.

[0142] After convergence, proceed to step seven, online self-learning, which involves online self-learning based on new data to further adjust and optimize the performance of the PID controller.

[0143] Step 8: Check for any new blasting incidents.

[0144] If a new bombing event occurs, the rule weights are updated based on the new data.

[0145] If no new explosion event occurs (No), the current training process ends.

[0146] It is understandable that the execution module 105 is used to continue to monitor water quality parameters during the process of adding chemicals to wastewater according to the dosing instructions. When the water quality reaches the preset standard, the dosing can be stopped. If the preset standard is not reached, the dosage can be adjusted by fuzzy PID.

[0147] In some other embodiments of this specification, the control center module 104 may adopt an initial dynamic drug delivery model as shown in the following formula (3):

[0148] (3);

[0149] Where Q represents the dosage, C represents the turbidity of the wastewater, pH represents the acidity or alkalinity of the wastewater, t represents the time after blasting in hours, and e represents the turbidity error.

[0150] In some other embodiments of this specification, the intelligent sewage dosing system 10 based on blasting triggering in railway tunnels may further include: an emergency module that switches to emergency mode when the wind speed is less than a preset wind speed (e.g., 3 m / s), i.e., switches to hydraulic drive, and the dosing arm swing frequency is linked to the flow rate.

[0151] In this embodiment, when the wind speed is lower than the preset wind speed, it automatically switches to emergency mode. This is because at low wind speeds, wind power generation may not provide enough electricity to drive the dosing system, necessitating a switch to another power source. In emergency mode, it switches to hydraulic drive, changing the power source of the dosing system from wind power generation or a wind-solar hybrid power system to a hydraulic system. The hydraulic system is typically connected to the hydraulic system of the excavator at the construction site, utilizing the excavator's hydraulic power to drive the dosing arm. In hydraulic drive mode, the swing frequency of the dosing arm is linked to the sewage flow rate, meaning the swing speed of the dosing arm is adjusted according to the actual sewage flow rate to ensure the agent is evenly added to the sewage. For example, if the sewage flow rate is high, the swing frequency of the dosing arm will increase accordingly to ensure the agent mixes with the sewage in a timely manner.

[0152] In some other embodiments of this specification, the execution module 105 may include a hydraulically driven dosing arm connected in parallel with the excavator's hydraulic system. A priority valve is used to ensure stable oil supply pressure. A bidirectional hydraulic cylinder drives the dosing arm to swing. A stroke sensor provides feedback on the angle signal. A proportional directional valve receives a control signal to adjust the flow rate. An accumulator stores energy when the system pressure is greater than 14 MPa and releases energy when the pressure is less than 10 MPa.

[0153] In this embodiment, when the wind-solar hybrid system fails, it automatically switches to hydraulic drive. The excavator's hydraulic oil is diverted to the dosing system via a priority valve, and the proportional valve adjusts the flow rate according to the control signal, driving the hydraulic cylinder to swing. The accumulator compensates for the flow rate when the pressure fluctuates.

[0154] The invention will now be described through some specific examples.

[0155] Operating conditions: 7.2km long, granite strata, 2 blasts per day (5-8kg charge per blast).

[0156] System Configuration:

[0157] Turbidity detection range: 0-2000 NTU, accuracy ±3%.

[0158] As shown in Table 2 of the appendix, the wastewater was strongly acidic (pH=2.8) at 0 min after the blast, with a peak turbidity of 1580 NTU. After being treated by the system of this invention, all indicators met the Class I standard of the "Integrated Wastewater Discharge Standard" (GB 8978-1996) at 60 min.

[0159] Hydraulic circuit parameters:

[0160] Working pressure: 12MPa (stable oil supply via priority valve 601);

[0161] Response time of proportional directional valve: <0.1s;

[0162] Accumulator capacity: 2L, pre-charge pressure: 10MPa;

[0163] Running result:

[0164] Within 30 minutes after the explosion, the turbidity dropped from 1500 NTU to 50 NTU.

[0165] Compared to manual application, PAC dosage is reduced by 35%.

[0166] Figure 2 This is a schematic diagram of the architecture of an intelligent wastewater dosing system for railway tunnels based on blasting triggering, provided in an embodiment of the present invention. See also... Figure 2 The architecture includes a blasting operation area, a control center, an execution mechanism, and an energy module.

[0167] For blasting operation areas, tunnel face blasting scenarios refer to locations where blasting operations are conducted during railway tunnel construction, generating wastewater containing blasting residue, suspended solids, and heavy metals. Vibration sensors are installed on the tunnel face to detect blasting vibration waveforms. Charge quantity data represents the charge quantity information corresponding to the blast, used to predict peak wastewater discharge periods.

[0168] For the control center, the water quality monitoring unit can detect wastewater and obtain water quality parameters. The intelligent control center can then use a fuzzy PID controller to control the actuators to add chemicals to the wastewater.

[0169] For actuators, screw feeders are used to convey dry powder chemicals. Hydraulic dosing arms are robotic arms driven by a hydraulic system, used to precisely dispense chemicals to designated locations. Sedimentation tanks are areas where treated wastewater settles.

[0170] For energy modules, wind power can be generated through vertical axis wind turbines, photovoltaic power can be generated through photovoltaic panels, and then stored through energy storage devices.

[0171] For the energy modules mentioned above, please refer to Figure 3 Under the control of wind-solar hybrid power generation, photovoltaic power generation is generally prioritized, with the tilt angle of the folded photovoltaic panels ranging from 30 to 60 degrees. Wind power generation is considered secondarily, with a rotation speed ranging from 50 to 300 rpm. Energy storage can be either battery packs or capacitors. Electrical equipment draws power from the energy storage.

[0172] Figure 4 This is a schematic diagram of the hydraulically driven throwing arm provided in an embodiment of the present invention. The architecture may include a throwing arm swing mechanism 401, a hydraulic motor 402, a main oil circuit 403, an excavator hydraulic pump 404, a filter 405, an oil tank 406, an accumulator 407, a return oil circuit 408, a pressure valve 409, and an overflow valve 410.

[0173] The entire workflow is as follows:

[0174] The excavator's hydraulic pump 404 draws hydraulic oil from the oil tank 406, filters it through the filter 405, and then sends the high-pressure hydraulic oil into the main oil circuit 403. The high-pressure hydraulic oil flows through the main oil circuit 403 to the hydraulic motor 402, driving the dosing arm swing mechanism 401 to swing and dispensing the agent. The accumulator 407 provides additional hydraulic oil or absorbs excess hydraulic oil when the system pressure fluctuates, stabilizing the system pressure. The pressure valve 409 and the relief valve 410 work together to ensure the system operates within the set pressure range, preventing overload and excessive pressure. The hydraulic oil that has completed its work flows back to the oil tank 406 through the return oil circuit 408, completing the hydraulic oil circulation.

[0175] Based on the same general inventive concept, this invention also protects a method for intelligent chemical dosing of sewage in railway tunnels based on blasting triggering, such as... Figure 5 As shown, Figure 5 This is a schematic flowchart of the intelligent chemical dosing method for railway tunnel sewage based on blasting triggering provided in an embodiment of the present invention. The following describes the intelligent chemical dosing method for railway tunnel sewage based on blasting triggering provided by the present invention. The intelligent chemical dosing method for railway tunnel sewage based on blasting triggering described below can be referred to in correspondence with the intelligent chemical dosing system for railway tunnel sewage based on blasting triggering described above.

[0176] The intelligent chemical dosing method for sewage in railway tunnels based on blasting includes the following steps 501 to 505.

[0177] Step 501: Detect the blasting vibration waveform in the railway tunnel and predict the peak sewage period by combining the charge amount and rock hardness;

[0178] Step 502: Monitor the water quality parameters of sewage in the railway tunnel;

[0179] Step 503: Monitor environmental parameters within a preset range for sewage in railway tunnels;

[0180] Step 504: Receive peak sewage period, water quality parameters, and environmental parameters, and generate a dosing instruction;

[0181] Step 505: Add chemicals to the wastewater according to the dosing instructions.

[0182] In this embodiment, when detecting the blasting vibration waveform inside the railway tunnel, the blasting vibration intensity can also be detected. If the vibration intensity is greater than or equal to a preset intensity threshold, subsequent steps are executed. If the vibration intensity is less than the preset intensity threshold, subsequent steps are ignored, i.e., the system enters a sleep mode.

[0183] Figure 6 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention.

[0184] like Figure 6 As shown, the electronic device may include a processor 610, a communication interface 620, a memory 630, and a communication bus 640. The processor 610, communication interface 620, and memory 630 communicate with each other via the communication bus 640. The processor 610 can call logical instructions from the memory 630 to execute a smart chemical dosing method for sewage in railway tunnels based on blasting triggering.

[0185] Furthermore, the logical instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0186] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the intelligent chemical dosing method for sewage in railway tunnels based on blasting triggering provided by the above methods.

[0187] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the intelligent chemical dosing method for sewage in railway tunnels based on blasting triggering provided by the above methods.

[0188] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0189] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0190] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A railway tunnel sewage intelligent dosing system based on blasting trigger, characterized in that, The method comprises the following steps: a blasting sensing module for detecting the blasting vibration waveform in the railway tunnel, and predicting the sewage peak period in combination with the charge amount and the rock hardness; a water quality monitoring module for monitoring the water quality parameters of the sewage in the railway tunnel; an environmental monitoring module for monitoring the environmental parameters within the preset range of the sewage in the railway tunnel; a control center module for receiving the sewage peak period, the water quality parameters and the environmental parameters, and generating a drug delivery instruction; and an execution module for delivering drugs into the sewage according to the drug delivery instruction; wherein the environmental monitoring module comprises: a wind detection unit for monitoring the wind speed and direction within the preset range of the sewage in the railway tunnel; the control center module is configured to: receive the sewage peak period, the water quality parameters and the wind speed; determine the initial drug delivery time according to the sewage peak period; determine the drug delivery amount and its component ratio according to the water quality parameters; adjust the compensation amount of the drug delivery amount according to the wind speed and direction; generate a drug delivery instruction based on the drug delivery time, the drug delivery amount, the component ratio and the compensation amount; adjusting the compensation amount of the drug delivery amount according to the wind speed and direction, comprising: determining the angle between the wind direction and the diffusion direction of the sewage, and the influence coefficient of the wind on the diffusion of the sewage according to the wind speed and the wind direction; obtaining the compensation amount of the drug delivery amount based on the wind speed, the angle and the influence coefficient; determining the angle between the wind direction and the diffusion direction of the sewage, and the influence coefficient of the wind on the diffusion of the sewage according to the wind speed and the wind direction, comprising: obtaining the diffusion direction of the sewage; obtaining the angle between the diffusion direction and the wind direction based on the diffusion direction and the wind direction; obtaining the influence coefficient of the wind on the diffusion of the sewage based on the angle and the wind speed. 2.The railway tunnel sewage intelligent dosing system based on blasting trigger according to claim 1, characterized in that, The blasting sensing module comprises: a vibration sensor unit installed at the railway tunnel face for detecting the blasting vibration waveform; a blasting timing analysis unit for: receiving the blasting vibration waveform, and the charge amount and rock hardness corresponding to the blasting; extracting the characteristic parameters of the blasting vibration waveform; wherein the characteristic parameters include vibration frequency, amplitude and duration; establishing the correlation between blasting and sewage peak based on historical blasting data and historical sewage monitoring data; predicting the sewage peak period by using the charge amount, the rock hardness and the characteristic parameters in combination with the correlation. 3.The railway tunnel sewage intelligent dosing system based on blasting trigger according to claim 1, characterized in that, The water quality monitoring module comprises: a multi-parameter monitoring unit for monitoring the initial water quality parameters of the sewage in the railway tunnel; wherein the water quality parameters include turbidity, pH value, chemical oxygen demand, oxidation-reduction potential and heavy metal ion concentration; a data calibration unit for: performing data cleaning and smoothing processing on the initial water quality parameters to obtain target parameters; calibrating the target parameters by comparing the measurement results of the standard samples of the water quality parameters to eliminate the systematic error and random error between the sensors, and obtaining the final water quality parameters. 4.The railway tunnel sewage intelligent dosing system based on blasting trigger according to claim 1, characterized in that, The execution module is further configured to: adjust the swing angle and / or swing frequency of the drug delivery action according to the wind speed and direction. 5.The blasting trigger-based intelligent sewage dosing system for railway tunnel according to claim 1, characterized in that, It also comprises: an electric energy supply module for providing power support; wherein the electric energy supply module comprises: a wind power generation unit for generating electricity through wind power; A photovoltaic power generation unit for generating electricity by light; A storage unit for storing the electricity generated by the wind power generation unit and the photovoltaic power generation unit.

6. A railway tunnel sewage intelligent dosing method based on blasting trigger, characterized in that, The method is applied to the blasting-triggered intelligent sewage dosing system for railway tunnel in any one of claims 1 to 5, and the method comprises: Detecting the blasting vibration waveform in the railway tunnel, and predicting the sewage peak period in combination with the charge amount and the rock hardness; Monitoring the water quality parameters of the sewage in the railway tunnel; Monitoring the environmental parameters within the preset range of the sewage in the railway tunnel; Receiving the sewage peak period, the water quality parameters and the environmental parameters, and generating a dosing instruction; According to the dosing instruction, the sewage is dosed.

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