Railway tunnel sewage intelligent dosing system and method based on blasting triggering

Abstract

The invention provides a railway tunnel sewage intelligent dosing system and method based on blasting triggering, and the system comprises a blasting sensing module which is used for detecting the blasting vibration waveform in a railway tunnel, and predicting the sewage peak time period through the combination of the explosive loading amount and the rock mass hardness; the water quality monitoring module is used for monitoring water quality parameters of sewage in the railway tunnel; the environment monitoring module is used for monitoring environment parameters in a sewage preset range in the railway tunnel; the control center module is used for receiving the sewage peak time period, the water quality parameters and the environmental parameters and generating a dosing instruction; and the execution module is used for feeding chemicals into the sewage according to the chemical feeding instruction, so that accurate prediction, quick response and dynamic chemical feeding of the tunnel blasting sewage are realized, the sewage treatment efficiency is effectively improved, the chemical consumption and the sludge yield are reduced, and the intelligent level and the environmental adaptability of railway tunnel sewage treatment are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel sewage treatment, and in particular to a railway tunnel sewage intelligent dosing system and method based on blasting triggering. Background Art

[0002] Drilling and blasting is a common method used in railway tunnel construction. However, this method produces large amounts of wastewater containing blasting residues, suspended solids, and heavy metals after blasting, potentially polluting the environment. The complex composition of this wastewater, along with the transient changes in water quality following blasting, poses significant challenges to its treatment.

[0003] Currently, wastewater treatment methods primarily include traditional manual dosing and conventional automated dosing systems. Traditional manual dosing suffers from low accuracy and slow response, making it difficult to meet the rapidly changing treatment requirements of blasting wastewater. While conventional automated dosing systems offer some automation, they rely on fixed procedures and are unable to adapt to the intermittent pollution characteristics of blasting operations, resulting in unstable treatment results. Summary of the Invention

[0004] The present invention provides a railway tunnel sewage intelligent dosing system and method based on blasting triggering, which is used to solve the technical problem that the existing technology cannot achieve efficient and accurate treatment of tunnel sewage.

[0005] In one aspect, the present invention provides a railway tunnel sewage intelligent dosing system based on blasting triggering, comprising: The blasting sensing module is used to detect blasting vibration waveforms in railway tunnels and predict the peak period of sewage discharge based on the charge amount and rock hardness; Water quality monitoring module, used to monitor water quality parameters of sewage in railway tunnels; Environmental monitoring module, used to monitor environmental parameters within a preset range of sewage in railway tunnels; A control center module is used to receive the sewage peak period, the water quality parameters and the environmental parameters, and generate a drug administration instruction; An execution module is used to add medicine to the sewage according to the medicine-adding instruction.

[0006] According to the present invention, a railway tunnel sewage intelligent dosing system based on blasting triggering is provided, wherein the blasting sensing module includes: Vibration sensor units, installed at the face of railway tunnels, are used to detect blasting vibration waveforms; Blasting timing analysis unit, used for: receiving the blasting vibration waveform, as well as the charge amount and rock hardness corresponding to the blasting; Extracting characteristic parameters of the blasting vibration waveform; wherein the characteristic parameters include vibration frequency, amplitude and duration; Based on historical blasting data and historical sewage monitoring data, the correlation between blasting and sewage peak values is established; The sewage peak period is predicted by using the charge amount, the rock hardness and the characteristic parameters in combination with the correlation relationship.

[0007] According to the blasting-triggered intelligent sewage dosing system provided by the present invention, the water quality monitoring module includes: A multi-parameter monitoring unit for monitoring initial water quality parameters of sewage in railway tunnels; wherein the water quality parameters include turbidity, pH value, chemical oxygen demand, redox potential and heavy metal ion concentration; Data calibration unit, used for: Perform data cleaning and smoothing on the initial water quality parameters to obtain the target parameters; By comparing the measurement results of standard samples of water quality parameters, the target parameters are calibrated to eliminate the systematic errors and random errors between sensors and obtain the final water quality parameters.

[0008] According to the blasting-triggered intelligent sewage dosing system provided by the present invention, the environmental monitoring module includes: Wind detection unit, used to monitor wind speed and direction within a preset range of sewage in railway tunnels.

[0009] According to the blasting-triggered intelligent sewage dosing system provided by the present invention, the control center module is used to: Peak sewage receiving period, water quality parameters and wind speed; Determine the initial dosing time based on the sewage peak period; Determine dosage and proportion of the drug according to water quality parameters; Adjust the compensation dosage according to wind speed and direction; A medication instruction is generated based on the medication administration time, the medication administration amount, the component ratio, and the compensation medication amount.

[0010] According to the intelligent sewage dosing system for railway tunnels based on blasting triggering provided by the present invention, the compensating dosage for adjusting the dosage according to wind speed and wind direction includes: Determining, based on the wind speed and the wind direction, the angle between the wind direction and the diffusion direction of the sewage, and the coefficient of influence of the wind on the diffusion of the sewage; Based on the wind speed, the angle and the influence coefficient, a compensation amount of the dosage is obtained.

[0011] According to the blast-triggered intelligent sewage dosing system provided by the present invention, the angle between the wind direction and the sewage diffusion direction, as well as the influence coefficient of wind on sewage diffusion, is determined based on the wind speed and the wind direction, including: Obtain the diffusion direction of sewage; Based on the diffusion direction and the wind direction, an angle between the two is obtained; Based on the angle and the wind speed, an influence coefficient of wind on sewage diffusion is obtained.

[0012] According to the blasting-triggered intelligent sewage dosing system provided by the present invention, the execution module is further used to: Adjust the swing angle and / or swing frequency of the dosing action according to the wind speed and direction.

[0013] According to the present invention, a railway tunnel sewage intelligent dosing system based on blasting triggering is provided, which also includes: Power supply module, used for providing power support; Wherein, the power supply module includes: A wind power generation unit for generating electricity through wind power; Photovoltaic power generation unit, used to generate electricity through sunlight; A storage unit is used to store the electric energy generated by the wind power generation unit and the photovoltaic power generation unit.

[0014] On the other hand, the present invention also provides a method for intelligent sewage dosing in railway tunnels based on blasting triggering, which is applied to any of the above-mentioned intelligent sewage dosing systems based on blasting triggering, and the method comprises: Detect blasting vibration waveforms in railway tunnels and predict sewage peak periods based on charge volume and rock hardness; Monitoring of water quality parameters of sewage in railway tunnels; Monitoring of environmental parameters within a preset range of sewage in railway tunnels; receiving the sewage peak period, the water quality parameters, and the environmental parameters, and generating a drug administration instruction; According to the dosing instruction, the medicine is dosed into the sewage.

[0015] The intelligent dosing system and method for railway tunnel sewage based on blasting triggering provided by the present invention uses a blasting sensing module to accurately detect blasting vibrations and predict sewage peak periods, and combines a water quality monitoring module and an environmental monitoring module to obtain sewage parameters and environmental information in real time. The control center module generates dosing instructions, and the execution module doses medicine into the sewage accordingly. This achieves accurate prediction, rapid response and dynamic dosing of tunnel blasting sewage, effectively improves sewage treatment efficiency, reduces chemical consumption and sludge production, and significantly enhances the intelligence level and environmental adaptability of railway tunnel sewage treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 This is a schematic structural diagram of a railway tunnel sewage intelligent dosing system based on blasting triggering provided by an embodiment of the present invention; Figure 2 This is a schematic diagram of the architecture of a railway tunnel sewage intelligent dosing system based on blasting triggering provided by an embodiment of the present invention; Figure 3 Schematic diagram of the architecture of the power supply module provided by an embodiment of the present invention; Figure 4 1 is a schematic diagram of the structure of a hydraulically driven casting arm provided in an embodiment of the present invention; Figure 5 This is a flow chart of a method for intelligent sewage dosing in railway tunnels based on blasting triggering provided by an embodiment of the present invention; Figure 6 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0019] Figure 1 It is a structural diagram of a railway tunnel sewage intelligent dosing system based on blasting triggering provided by an embodiment of the present invention.

[0020] See also Figure 1The railway tunnel sewage intelligent dosing system 10 based on blasting triggering 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.

[0021] The blasting sensing module 101 is used to detect the blasting vibration waveform in the railway tunnel and predict the sewage peak period based on the charge amount and rock hardness.

[0022] The water quality monitoring module 102 is used to monitor the water quality parameters of sewage in the railway tunnel.

[0023] The environmental monitoring module 103 is used to monitor environmental parameters within a preset range of sewage in the railway tunnel.

[0024] The control center module 104 is used to receive sewage peak time period, water quality parameters and environmental parameters, and generate drug administration instructions.

[0025] The execution module 105 is used to add medicine to the sewage according to the medicine addition instruction.

[0026] In this embodiment, the blasting perception module 101 accurately detects blasting vibrations and predicts the peak period of sewage. Combined with the water quality monitoring module 102 and the environmental monitoring module 103, sewage parameters and environmental information are obtained in real time. The control center module 104 generates a dosing instruction, and the execution module 105 doses the sewage accordingly. This achieves accurate prediction, rapid response and dynamic dosing of tunnel blasting sewage, effectively improves sewage treatment efficiency, reduces chemical consumption and sludge production, and significantly enhances the intelligence level and environmental adaptability of railway tunnel sewage treatment.

[0027] In one embodiment of the present specification, the blasting sensing module 101 includes a vibration sensor unit 1011 and a blasting timing analysis unit 1012 .

[0028] The vibration sensor unit 1011 is installed at the railway tunnel face to detect the blasting vibration waveform; The blasting timing analysis unit 1012 is used to: Receive blasting vibration waveform, as well as charge amount and rock hardness corresponding to the blasting; Extract characteristic parameters of the blasting vibration waveform; wherein the characteristic parameters include vibration frequency, amplitude and duration; Based on historical blasting data and historical sewage monitoring data, the correlation between blasting and sewage peak values is established; The peak period of sewage discharge is predicted by using the charge amount, rock hardness and characteristic parameters and combining the correlation relationship.

[0029] In this embodiment, the sewage peak period may include the time point when the sewage peak occurs and the change trend of the sewage composition. The charge amount and rock hardness corresponding to the blasting can be known in advance, for example, by the construction management system and transmitted to the blasting sensing module 101 through the data interface.

[0030] Historical blasting data may include charge amount (the amount of explosives used in each blasting), rock hardness (physical properties of the rock in the blasting area, such as uniaxial compressive strength), blasting vibration characteristics (vibration frequency, amplitude, and duration detected by the vibration sensor), blasting distance (the distance between the blasting point and the monitoring point), blasting method (such as pre-splitting blasting, smooth blasting, etc.), etc. Historical sewage monitoring data refers to the data obtained from monitoring sewage after the blasting operation, including the time of sewage peak occurrence, sewage peak intensity, and sewage composition change trend. The sewage peak occurrence time is the time point when various sewage indicators (such as turbidity, COD, etc.) reach their peak after the blasting. The sewage peak intensity is the specific value of each sewage indicator at the peak. The sewage composition change trend is the change of sewage composition over time after the blasting.

[0031] Establish a correlation between blasting and wastewater peaks. This involves analyzing historical blasting data and wastewater monitoring data to identify the mathematical relationship between blasting parameters and wastewater peaks. This correlation can generally be established through statistical analysis, machine learning, or other data analysis methods. When a new blasting operation is underway, the system can use the current charge, rock hardness, and other characteristic parameters as inputs into the established correlation, thereby predicting the timing and intensity of the wastewater peak.

[0032] An example of the relationship between the turbidity peak of sewage and the burst can be shown in Table 1 below: Table 1

[0033] Based on Table 1 above, the relationship model between the charge amount (dosage) and turbidity can be obtained, which can be expressed as C max =286×Q 0.78 , where C max is turbidity, and Q is dosage.

[0034] This embodiment achieves accurate detection of blasting vibration waveforms and extraction of characteristic parameters by introducing a vibration sensor unit 1011 and a blasting timing analysis unit 1012 into the blasting sensing module 101. Furthermore, by combining key information such as charge amount and rock hardness, historical data is used to establish a correlation between blasting and sewage peak values, thereby enabling the occurrence time and intensity of sewage peak values to be predicted in advance, significantly improving the accuracy and timeliness of sewage treatment, and enabling the system to perform drug dosing operations promptly and accurately after blasting, thereby effectively improving sewage treatment efficiency.

[0035] In one embodiment of the present specification, the water quality monitoring module 102 includes a multi-parameter monitoring unit 1021 and a data calibration unit 1022 .

[0036] The multi-parameter monitoring unit 1021 is used to monitor the initial water quality parameters of sewage in the railway tunnel; wherein the water quality parameters include turbidity (NTU), pH value, chemical oxygen demand (COD), oxidation-reduction potential (ORP) and heavy metal ion concentration; The data calibration unit 1022 is used to: Perform data cleaning and smoothing on the initial water quality parameters to obtain the target parameters; By comparing the measurement results of standard samples of water quality parameters, the target parameters are calibrated to eliminate the systematic errors and random errors between sensors and obtain the final water quality parameters.

[0037] In this embodiment, after blasting, the composition of the sewage is shown in Table 2 below: Table 2

[0038] Turbidity can be measured using a multispectral turbidity meter, which uses light at specific wavelengths (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 hydrogen ion concentration in aqueous solutions. A chemical oxygen demand sensor, using a chemical reaction (such as the potassium dichromate method), measures the organic matter content in wastewater. An ORP sensor, based on electrochemical principles, assesses the redox state of water quality by measuring the redox reaction potential in aqueous solutions. Heavy metal ion sensors can detect the concentration of specific heavy metal ions in wastewater. Common detection methods include electrochemical and spectroscopic methods. Wastewater after 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.

[0039] Data cleaning removes outliers, noise, and erroneous data, which can be caused by sensor failure, signal interference, or changes in the measurement environment. Smoothing uses mathematical methods (such as moving averages and median filters) to smooth data, reducing fluctuations and making it more stable.

[0040] A standard sample is a pre-prepared water sample of known concentration or properties. The measurement results of these samples are rigorously calibrated and verified, and they serve as reference standards. The purpose of a standard sample is to provide a known, reliable benchmark for evaluating and calibrating sensor measurements. Using the same sensors and equipment as those used for actual measurements, the standard sample is measured. By comparing the sensor's measurement results with the true value of the standard sample, the deviation between the sensor's measurement result and the true value can be detected. Based on this deviation, the target parameter is calibrated.

[0041] In one embodiment of the present specification, the environment monitoring module 103 includes a wind force detection unit 1031 .

[0042] The wind force detection unit 1031 is used to monitor the wind speed and direction within a preset range of sewage in the railway tunnel. The environment monitoring module 103 may also include a temperature detection unit and a humidity detection unit.

[0043] In one embodiment of this specification, the control center module 104 is used to: Peak sewage receiving period, water quality parameters and wind speed; Determine the initial dosing time based on the sewage peak period; Determine dosage and proportion of the drug according to water quality parameters; Adjust the compensation dosage according to wind speed and direction; Generate dosing instructions based on dosing time, dosing amount, component ratio, and compensation amount.

[0044] In this embodiment, in order to ensure that the agent can fully play its role during the sewage peak period, it is necessary to dose the agent in advance before the sewage peak occurs. The setting of the advance amount can be determined based on the prediction accuracy of the sewage peak period and the reaction time of the agent. For example, if the sewage peak is predicted to occur 30 minutes after the blasting, and the agent requires a reaction time of 10 minutes, the initial dosing time can be set to 20 minutes after the blasting. According to the water quality parameters, the dosage and the proportion of its components are determined, which can generally be obtained based on historical experience data or through theoretical calculations. The historical experience data here refers to the dosage and the proportion of its components corresponding to various different water quality parameters in the past, and then the current water quality parameters are compared with the past water quality parameters to obtain the current dosage and the proportion of its components.

[0045] This embodiment determines the initial dosing time based on the sewage peak period, and determines the dosage and component ratio according to water quality parameters. The compensation dosage is then adjusted in combination with wind speed and direction. This dosing strategy that comprehensively considers multiple factors can better cope with the instantaneous changes in sewage after blasting, improve sewage treatment efficiency, and reduce chemical consumption and sludge production.

[0046] In one embodiment of the present specification, the compensation dosage of the dosage is adjusted according to the wind speed and wind direction, including: According to wind speed and direction, determine the angle between wind direction and sewage diffusion direction, as well as the influence coefficient of wind on sewage diffusion; Based on wind speed, angle and influence coefficient, the compensation dosage of the dosage is obtained.

[0047] In this embodiment, the influence coefficient is a quantitative indicator used to describe the actual impact of wind speed and angle on sewage dispersion. It is typically a value obtained through experiments or model calculations, and can reflect changes in parameters such as sewage dispersion speed and range under specific wind speed and angle conditions. For example, if the wind speed is high and the angle is low (i.e., the wind direction and sewage dispersion direction are nearly aligned), the influence coefficient may be large, indicating that the wind has a stronger effect on sewage dispersion. If the wind speed is low or the angle is large, the influence coefficient may be small.

[0048] The compensation dose can be expressed by the following formula (1): (1); Among them, Δ Q To compensate for the dosage, K is the influence coefficient, V ∣ is the wind speed, θ is the angle.

[0049] In this embodiment, the angle between the wind direction and the sewage diffusion direction and the influence coefficient of the wind on the sewage diffusion are determined, so as to calculate the compensation dosage. The dosage can be dynamically adjusted according to the actual environmental conditions to compensate for the influence of the wind on the 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.

[0050] In one embodiment of the present specification, the angle between the wind direction and the sewage diffusion direction, as well as the influence coefficient of the wind on the sewage diffusion, are determined based on the wind speed and wind direction, including: Obtain the diffusion direction of sewage; Based on the diffusion direction and wind direction, the angle between the two is obtained; Based on the angle and wind speed, the influence coefficient of wind on sewage diffusion is obtained.

[0051] The influence coefficient can be expressed by the following formula (2): (2); in, C 0 is the baseline impact coefficient, which is a pre-set constant used to represent the baseline impact of sewage diffusion under windless conditions; α It is the wind speed influence factor, which is also a pre-set constant used to adjust the contribution of wind speed to the influence coefficient.

[0052] In this embodiment, how to determine 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, so that the dosing system can respond to environmental changes more accurately and optimize the dosing strategy of the agent, thereby maintaining efficient sewage treatment performance under different wind speeds and wind directions, enhancing the flexibility and adaptability of the system.

[0053] In one embodiment of this specification, the execution module 105 is further configured to: Adjust the swing angle and / or swing frequency of the dosing action according to the wind speed and direction.

[0054] 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 direction of sewage diffusion, the execution module 105 may increase the swing angle so that the agent can cover a wider area to counteract the accelerating effect of the wind speed on sewage diffusion. If the wind direction is perpendicular to the direction of sewage diffusion, the swing angle can be appropriately reduced. When adjusting the swing frequency, when the wind speed is high, it may be necessary to dosing more frequently to ensure that the agent can be mixed with the sewage in time; when the wind speed is low or there is no wind, the swing frequency can be reduced to reduce the waste of the agent. 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 effectiveness of sewage treatment.

[0055] In one embodiment of the present specification, the railway tunnel sewage intelligent dosing system 10 based on blasting triggering further includes: The power supply module 106 is used to provide power support; The power supply module 106 includes a wind power generation unit 1061 , a photovoltaic power generation unit 1062 , and a storage unit 1063 .

[0056] The wind power generation unit 1061 is used to generate electricity through wind power; The photovoltaic power generation unit 1062 is used to generate electricity through illumination; The storage unit 1063 is used to store the electric energy generated by the wind power generation unit 1061 and the photovoltaic power generation unit 1062 .

[0057] In this embodiment, by combining wind power generation and solar power generation technologies and equipping them with energy storage equipment, the railway tunnel sewage intelligent dosing system 10 ensures stable operation under various environmental conditions, thereby enhancing the system's reliability and adaptability while reducing its 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 output of the power supply module 106 can reach 1.5kW. The power stored in the storage unit can be supplied for more than 4 hours.

[0058] In some other embodiments of the present specification, the control center module 104 may adopt a fuzzy PID algorithm, where the input variables include the turbidity error e (the difference between the currently measured sewage turbidity and the target turbidity) and the error change rate ec (the rate of change of the turbidity error over time, that is, the speed of change of the error), and 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 differential gain, used to dynamically adjust the differential part of the PID controller). The initial rule base can be optimized by a genetic algorithm.

[0059] The training process of the fuzzy PID algorithm is shown below.

[0060] Step 1: Collect historical blasting data, which may include blasting parameters, generated wastewater quality parameters, etc.

[0061] Step 2: Normalize the historical blasting data and remove outliers.

[0062] Step 3: Initialize the rule base of fuzzy PID, that is, define fuzzy sets and fuzzy rules.

[0063] Step 4: Optimize the initial rule base of the fuzzy PID controller through genetic algorithm.

[0064] Step 5: Fitness calculation, that is, in each iteration of the genetic algorithm, calculate the fitness of the current rule base, that is, evaluate the quality of its control effect.

[0065] Step 6: Determine whether it has converged.

[0066] 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.

[0067] If the algorithm has not converged (No), then continue with the selection / crossover / mutation operations.

[0068] If the algorithm has converged (yes), the optimized rule base is output.

[0069] After convergence, step seven, online self-learning, is performed, that is, online self-learning is performed based on new data to further adjust and optimize the performance of the PID controller.

[0070] Step 8: Check whether there are any new explosion events.

[0071] If there is a new blasting event (yes), update the rule weights based on the new data.

[0072] If there is no new blasting event (No), the current training process ends.

[0073] It can be understood that the execution module 105 can continue to detect water quality parameters during the process of dosing the medicine into the sewage according to the dosing instruction. When the water quality reaches the preset standard, the dosing can be terminated. If the preset standard is not reached, the dosing amount can be adjusted through fuzzy PID.

[0074] In some other embodiments of the present specification, the control center module 104 may adopt an initial dynamic drug administration model as shown in the following formula (3): (3); Where Q is the dosage, C is the turbidity of the sewage, pH is the acidity and alkalinity of the sewage, t is the time after blasting (unit: h), and e is the turbidity error.

[0075] In some other embodiments of the present specification, the railway tunnel sewage intelligent dosing system 10 based on blasting triggering may also include: an emergency module, which switches to emergency mode when the wind speed is less than a preset wind speed (such as 3m / s), that is, switches to hydraulic drive, and the swing frequency of the dosing arm is linked to the flow rate.

[0076] In this embodiment, when the wind speed is less than the preset wind speed, it will automatically switch to emergency mode. Because when the wind speed is low, wind power generation may not be able to provide enough electricity to drive the dosing system, it is necessary to switch to other power sources. In emergency mode, it will switch to hydraulic drive, and the power source of the dosing system will be switched from wind power generation or wind-solar complementary power supply system to the hydraulic system. The hydraulic system is usually connected to the hydraulic system of the excavator at the construction site, and the hydraulic power of the excavator is used to drive the dosing arm. In the hydraulic drive mode, the swing frequency of the dosing arm will be linked to the sewage flow rate, which means that the swing speed of the dosing arm will be adjusted according to the actual flow rate of the sewage to ensure that the medicine can be evenly added to the sewage. For example, if the sewage flow rate is faster, the swing frequency of the dosing arm will also be accelerated accordingly to ensure that the medicine can be mixed with the sewage in time.

[0077] In some other embodiments of the present specification, the execution module 105 may include a hydraulically driven dosing arm, which is connected in parallel with the hydraulic system of the excavator, and a priority valve is used to ensure the stability of the oil supply pressure. The bidirectional hydraulic cylinder drives the dosing arm to swing, the stroke sensor feeds back the angle signal, the proportional reversing valve receives the control signal to adjust the flow, and the accumulator stores energy when the system pressure is greater than 14MPa and releases energy when the pressure is less than 10MPa.

[0078] In this embodiment, if 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. A proportional valve adjusts the flow rate based on a control signal, driving the hydraulic cylinder to swing. The accumulator compensates for pressure fluctuations.

[0079] The present invention is described below through some specific examples.

[0080] Working conditions: 7.2km in length, granite formation, 2 blastings per day (single charge 5-8kg).

[0081] System Configuration: Turbidity detection range: 0-2000NTU, accuracy ±3%.

[0082] As shown in Table 2 of the appendix, the sewage was strongly acidic (pH=2.8) at 0 min after blasting, and the turbidity peak reached 1580NTU. After being treated by the system of the present invention, all indicators reached the first-level standard of the "Integrated Sewage Discharge Standard" (GB 8978-1996) at 60 min.

[0083] Hydraulic circuit parameters: Working pressure: 12MPa (stable oil supply through priority valve 601); Proportional reversing valve response time: <0.1s; Accumulator capacity: 2L, pre-charge pressure 10MPa; Operation effect: The turbidity dropped from 1500 NTU to 50 NTU within 30 minutes after blasting.

[0084] Compared with manual administration, PAC usage is reduced by 35%.

[0085] Figure 2 This is a schematic diagram of the architecture of the railway tunnel sewage intelligent dosing system based on blasting triggering provided by an embodiment of the present invention. Figure 2 ,The architecture includes the blasting operation area, control center, actuators and energy modules.

[0086] Blasting operations are performed at tunnel face locations during railway tunnel construction, generating wastewater containing blasting residues, suspended solids, and heavy metals. Vibration sensors are installed on the tunnel face to detect blasting vibration waveforms. Charge quantity data, representing the charge quantity corresponding to the blasting, is used to predict peak wastewater discharge times.

[0087] In the control center, the water quality detection unit can detect sewage and obtain water quality parameters. The intelligent control center can use a fuzzy PID controller to control the actuator to add drugs to the sewage.

[0088] Regarding actuators, screw feeders are used to deliver dry powdered pharmaceuticals. Hydraulic dosing arms are mechanical arms driven by hydraulic systems and are used to precisely deliver pharmaceuticals to designated locations. Sedimentation tanks are areas where wastewater settles after treatment.

[0089] For the energy module, wind power generation can be performed through vertical axis wind turbines, photovoltaic power generation can be performed through photovoltaic panels, and then stored through energy storage devices.

[0090] For the above energy modules, please refer to Figure 3 Under wind-solar hybrid control, photovoltaic power generation is generally prioritized, with the tilt angle of the folding photovoltaic panels ranging from 30-60 degrees. Wind power generation is considered secondarily, with a rotation speed range of 50-300 rpm. The energy storage device can be a battery pack or a capacitor. Electrical devices draw power from the energy storage device.

[0091] Figure 4 This is a schematic diagram of the architecture of a hydraulically driven dosing arm provided by an embodiment of the present invention. The architecture may include a dosing 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, an oil return circuit 408, a pressure valve 409, and an overflow valve 410.

[0092] The entire workflow is as follows: The excavator hydraulic pump 404 draws hydraulic oil from the fuel tank 406 and, after filtering through the filter 405, sends the high-pressure hydraulic oil to the main oil circuit 403. The high-pressure hydraulic oil flows to the hydraulic motor 402 through the main oil circuit 403, driving the dosing arm swing mechanism 401 to swing and achieve the addition of the medicine. The accumulator 407 provides additional hydraulic oil or absorbs excess hydraulic oil when the system pressure fluctuates to stabilize the system pressure. The pressure valve 409 and the relief valve 410 work together to ensure that the system operates within the set pressure range and prevent overload and excessive pressure. The hydraulic oil that has completed the work flows back to the fuel tank 406 through the return oil circuit 408, completing the circulation of the hydraulic oil.

[0093] Based on the same general inventive concept, the present invention also protects a railway tunnel sewage intelligent dosing method based on blasting triggering, such as Figure 5 As shown, Figure 5 This is a flow chart of a blast-triggered intelligent sewage dosing method for railway tunnels, provided by an embodiment of the present invention. The following describes the blast-triggered intelligent sewage dosing method for railway tunnels, provided by the present invention. The blast-triggered intelligent sewage dosing method described below can be used in conjunction with the blast-triggered intelligent sewage dosing system for railway tunnels described above.

[0094] The intelligent sewage dosing method for railway tunnels based on blasting triggering includes the following steps 501 to 505.

[0095] Step 501: Detect the blasting vibration waveform in the railway tunnel and predict the sewage peak period based on the charge amount and rock hardness; Step 502: monitoring water quality parameters of sewage in the railway tunnel; Step 503: monitor environmental parameters within a preset range of sewage in the railway tunnel; Step 504: receiving sewage peak time period, water quality parameters and environmental parameters, and generating a dosing instruction; Step 505: Add medicine to the sewage according to the medicine-dosing instruction.

[0096] In this embodiment, when detecting the blasting vibration waveform in a railway tunnel, the blasting vibration intensity can also be detected. If the vibration intensity is greater than or equal to a preset intensity threshold, the subsequent steps are executed. If the vibration intensity is less than the preset intensity threshold, the subsequent steps are ignored, i.e., the system enters sleep mode.

[0097] Figure 6 It is a structural diagram of an electronic device provided by an embodiment of the present invention.

[0098] like Figure 6 As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630, and a communication bus 640. The processor 610, the communications interface 620, and the memory 630 communicate with each other via the communication bus 640. The processor 610 may call logic instructions in the memory 630 to execute a blast-triggered intelligent sewage dosing method in a railway tunnel.

[0099] Furthermore, the logic 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, or the portion that contributes to the prior art, or a portion 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 for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0100] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the intelligent railway tunnel sewage dosing method based on blasting triggering provided by the above methods.

[0101] On the other hand, 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 execute the intelligent sewage dosing method for railway tunnels based on blasting triggering provided by the above methods.

[0102] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0103] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion 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, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A railway tunnel sewage intelligent dosing system based on blasting triggering, characterized by: include: The blasting sensing module is used to detect blasting vibration waveforms in railway tunnels and predict the peak period of sewage discharge based on the charge amount and rock hardness; Water quality monitoring module, used to monitor water quality parameters of sewage in railway tunnels; Environmental monitoring module, used to monitor environmental parameters within a preset range of sewage in railway tunnels; A control center module is used to receive the sewage peak period, the water quality parameters and the environmental parameters, and generate a drug administration instruction; and An execution module is used to add medicine to the sewage according to the medicine-adding instruction.

2. The railway tunnel sewage intelligent dosing system based on blasting triggering according to claim 1 is characterized in that: The blasting perception module includes: Vibration sensor units, installed at the face of railway tunnels, are used to detect blasting vibration waveforms; Blasting sequence analysis unit, used for: receiving the blasting vibration waveform, as well as the charge amount and rock hardness corresponding to the blasting; Extracting characteristic parameters of the blasting vibration waveform; wherein the characteristic parameters include vibration frequency, amplitude and duration; Based on historical blasting data and historical sewage monitoring data, the correlation between blasting and sewage peak values is established; The sewage peak period is predicted by using the charge amount, the rock hardness and the characteristic parameters in combination with the correlation relationship.

3. The railway tunnel sewage intelligent dosing system based on blasting triggering according to claim 1 is characterized in that: The water quality monitoring module includes: A multi-parameter monitoring unit for monitoring initial water quality parameters of sewage in railway tunnels; wherein the water quality parameters include turbidity, pH value, chemical oxygen demand, redox potential and heavy metal ion concentration; Data calibration unit, used for: Perform data cleaning and smoothing on the initial water quality parameters to obtain the target parameters; By comparing the measurement results of standard samples of water quality parameters, the target parameters are calibrated to eliminate the systematic errors and random errors between sensors and obtain the final water quality parameters.

4. The railway tunnel sewage intelligent dosing system based on blasting triggering according to claim 1 is characterized in that: The environmental monitoring module includes: Wind detection unit, used to monitor wind speed and direction within a preset range of sewage in railway tunnels.

5. The railway tunnel sewage intelligent dosing system based on blasting triggering according to claim 4 is characterized in that: The control center module is used to: Peak sewage receiving period, water quality parameters and wind speed; Determine the initial dosing time based on the sewage peak period; Determine dosage and proportion of the drug according to water quality parameters; Adjust the compensation dosage according to wind speed and direction; A medication instruction is generated based on the medication administration time, the medication administration amount, the component ratio, and the compensation medication amount.

6. The railway tunnel sewage intelligent dosing system based on blasting triggering according to claim 5 is characterized in that: The compensation dosage for adjusting the dosage according to wind speed and wind direction includes: Determining, based on the wind speed and the wind direction, the angle between the wind direction and the diffusion direction of the sewage, and the coefficient of influence of the wind on the diffusion of the sewage; Based on the wind speed, the angle and the influence coefficient, a compensation amount of the dosage is obtained.

7. The railway tunnel sewage intelligent dosing system based on blasting triggering according to claim 6 is characterized in that: 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 the wind direction, includes: Obtain the diffusion direction of sewage; Based on the diffusion direction and the wind direction, an angle between the two is obtained; Based on the angle and the wind speed, an influence coefficient of wind on sewage diffusion is obtained.

8. The railway tunnel sewage intelligent dosing system based on blasting triggering according to claim 4 is characterized in that: The execution module is further configured to: Adjust the swing angle and / or swing frequency of the dosing action according to the wind speed and direction.

9. The railway tunnel sewage intelligent dosing system based on blasting triggering according to claim 1 is characterized in that: Also includes: Power supply module, used for providing power support; Wherein, the power supply module includes: A wind power generation unit for generating electricity through wind power; Photovoltaic power generation unit, used to generate electricity through sunlight; A storage unit is used to store the electric energy generated by the wind power generation unit and the photovoltaic power generation unit.

10. A railway tunnel sewage intelligent dosing method based on blasting triggering, characterized in that: The method is applied to the railway tunnel sewage intelligent dosing system based on blasting triggering according to any one of claims 1 to 9, and the method comprises: Detect blasting vibration waveforms in railway tunnels and predict sewage peak periods based on charge volume and rock hardness; Monitoring of water quality parameters of sewage in railway tunnels; Monitoring of environmental parameters within a preset range of sewage in railway tunnels; receiving the sewage peak period, the water quality parameters, and the environmental parameters, and generating a drug administration instruction; According to the dosing instruction, the medicine is dosed into the sewage.

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