Slurry shield waste slurry intelligent treatment system and method

CN118439710BActive Publication Date: 2026-08-07SOUTHWEST JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTHWEST JIAOTONG UNIV
Filing Date
2024-06-06
Publication Date
2026-08-07

AI Technical Summary

Technical Problem

[0005]鉴于此,本发明提出了一种泥水盾构废浆智能处理系统及方法,主要是为了解决人工操作难以实现连续、高效处理,易导致处理不彻底或资源浪费的问题

Benefits of technology

[0049]与现有技术相比,本发明存在以下有益效果:本发明首先通过废浆输送单元、废浆处理单元和泥水分离单元的智能化控制,实现了废浆处理的全自动化操作。减少了人工干预,提升了处理效率和准确性。系统能够实时监测盾构机产生的废浆流量、成分数据以及上清液的浊度数据,并根据这些数据动态调整泵送转速、絮凝剂投放量和出水流速,确保废浆处理过程的连续性和稳定性。通过基于历史数据拟合的絮凝剂多变量回归模型,精确计算絮凝剂的投放量,使絮凝剂的使用量最优化,从而提高了废浆处理的效果和效率。精确的絮凝剂投放量和动态调整的出水流速,避免了絮凝剂和水资源的浪费,提高了资源利用率。系统在沉淀池中通过预设时长和多次沉淀上清液的浊度数据,确保上清液达到排放标准后才进行排放,从而保证了废浆处理的彻底性和环保性。根据上清液浊度数据对预设出水流速的智能调整,进一步确保上清液的排放质量,使系统能适应不同工况下的处理要求。

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Abstract

The present application relates to the technical field of waste slurry treatment, and specifically relates to a slurry shield waste slurry intelligent treatment system and method, which comprises: a waste slurry conveying unit, which determines the real-time rotation speed of pumping according to the real-time flow of waste slurry to control the pumping of the slurry shield waste slurry to a treatment station; a waste slurry treatment unit, which determines the flocculant dosage according to the waste slurry composition data to treat the waste slurry; and a slurry-water separation unit, which determines whether to discharge supernatant, and when it is determined to discharge supernatant, discharges the supernatant of the slurry shield waste slurry after a preset precipitation time at a preset water flow rate to complete the treatment of the slurry shield waste slurry. The present application can detect the flow and composition data of the waste slurry generated by the slurry shield in real time, and dynamically adjust the pumping rotation speed and flocculant dosage according to the data, thereby ensuring the continuity and stability of the waste slurry treatment process. This real-time response and adjustment capability helps to quickly adapt to the waste slurry treatment requirements under different working conditions, and improves the efficiency and accuracy of the treatment.
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Description

Technical Field

[0001] This invention relates to the field of waste slurry treatment technology, and more specifically, to an intelligent system and method for treating waste slurry from slurry shield tunneling. Background Technology

[0002] Slurry shield tunneling waste slurry treatment refers to the process of treating and reusing the large amount of waste slurry generated during shield tunnel construction. Slurry shield tunneling is widely used in underground engineering construction, especially in soft soil strata. The waste slurry contains a large amount of mud, sand, rock fragments, and chemical additives, requiring treatment to meet environmental protection requirements and ensure the smooth progress of subsequent construction.

[0003] Traditional waste slurry treatment requires extensive manual operation, monitoring, and adjustment of treatment parameters. Waste slurry treatment involves multiple steps, such as solid-liquid separation, chemical treatment, and recycling, each requiring precise operation and adjustment. Every process necessitates operator supervision and manual adjustment, such as the management of sedimentation tanks, the dosage of flocculant, and the operation of filter presses. Manual operation makes continuous and efficient treatment difficult, easily leading to incomplete treatment or resource waste.

[0004] Therefore, there is an urgent need for an intelligent waste slurry treatment system and method for slurry shield tunneling to achieve intelligent and automated control of waste slurry treatment, thereby improving waste slurry treatment efficiency and reducing resource waste. Summary of the Invention

[0005] In view of this, the present invention proposes an intelligent treatment system and method for slurry shield tunneling waste slurry, mainly to solve the problem that manual operation is difficult to achieve continuous and efficient treatment, which easily leads to incomplete treatment or waste of resources.

[0006] In one aspect, the present invention proposes an intelligent treatment system for slurry waste slurry from slurry shield tunneling machines, the system comprising:

[0007] The waste slurry conveying unit is used to detect the real-time flow rate of waste slurry generated by the tunnel boring machine, determine the real-time pumping speed based on the real-time flow rate of the waste slurry, and control the tunnel boring machine to pump the waste slurry to the treatment station based on the real-time pumping speed.

[0008] The waste slurry treatment unit is used to detect the composition data of the waste slurry after it is pumped to the treatment station, determine the amount of flocculant to be added based on the composition data, and treat the waste slurry based on the amount of flocculant added.

[0009] The mud-water separation unit is used to transport the shield machine waste slurry treated with flocculant to the sedimentation tank for sedimentation for a preset time, obtain the turbidity data of the supernatant, and determine whether to discharge the supernatant. When it is determined that the supernatant should be discharged, the supernatant of the shield machine waste slurry after sedimentation for the preset time is discharged at a preset effluent flow rate to complete the shield machine waste slurry treatment.

[0010] In the process of discharging the supernatant at the preset effluent flow rate, the turbidity data of the supernatant is acquired, and the preset effluent flow rate is adjusted according to the turbidity data of the supernatant to obtain the real-time effluent flow rate. The supernatant is then discharged according to the real-time effluent flow rate.

[0011] In some embodiments of this application, the waste slurry conveying unit is used to detect the real-time flow rate of waste slurry generated by the tunnel boring machine, and when determining the real-time pumping speed based on the real-time flow rate of the waste slurry, it includes:

[0012] The real-time flow rate of the waste slurry is denoted as V;

[0013] The first preset waste slurry target flow rate V1, the second preset waste slurry target flow rate V2, and the third preset waste slurry target flow rate V3 are preset, and V1 > V2 > V3; the first preset real-time pumping speed R1, the second preset real-time pumping speed R2, the third preset real-time pumping speed R3, and the fourth preset real-time pumping speed R4 are preset, and R1 > R2 > R3 > R4.

[0014] When V≥V1, the waste slurry conveying unit determines the first preset real-time pumping speed R1 as the real-time pumping speed;

[0015] When V1>V≥V2, the waste slurry conveying unit determines the second preset real-time pumping speed R2 as the real-time pumping speed;

[0016] When V2>V≥V3, the waste slurry conveying unit determines the third preset real-time pumping speed R3 as the real-time pumping speed;

[0017] When V3 > V, the waste slurry conveying unit determines the fourth preset real-time pumping speed R4 as the real-time pumping speed.

[0018] In some embodiments of this application, the waste slurry composition data includes waste slurry turbidity, waste slurry pH value, and total suspended solids content of waste slurry.

[0019] In some embodiments of this application, when the waste slurry treatment unit determines the flocculant dosage based on the waste slurry composition data, it includes:

[0020] The waste slurry treatment unit acquires historical waste slurry composition data and flocculant dosage data from previous waste slurry treatment processes. Based on the historical waste slurry composition data and flocculant dosage data, a multivariate regression model for the flocculant is fitted, with the following relationship:

[0021] D = a × T + b × pH + c × S + d;

[0022] Where D is the flocculant dosage (mg / L); T is the turbidity of the waste slurry (NTU); pH is the pH value of the waste slurry; S is the total suspended solids content of the waste slurry (mg / L); and a, b, c, and d are constants obtained from the fitting.

[0023] The composition data of the waste slurry obtained after the tunnel boring machine waste slurry is pumped to the treatment station is substituted into the above formula to obtain the amount of flocculant to be added.

[0024] In some embodiments of this application, the mud-water separation unit, used to transport the shield machine waste slurry treated with flocculant to a sedimentation tank for sedimentation for a preset time, obtain turbidity data of the supernatant, and determine whether to discharge the supernatant, includes:

[0025] The turbidity data of the supernatant after the waste slurry from the tunnel boring machine treated with flocculant is recorded as N after sedimentation in a settling tank for a preset time.

[0026] Pre-set the target turbidity (Na) of the supernatant;

[0027] When N≥Na, the mud-water separation unit determines not to discharge the supernatant;

[0028] When N < Na, the mud-water separation unit determines to discharge the supernatant.

[0029] In some embodiments of this application, when N≥Na, and the mud-water separation unit determines not to discharge the supernatant, the following steps are included:

[0030] The mud-water separation unit determines that the waste slurry from the tunnel boring machine, after being treated with flocculant, will be transported to the sedimentation tank for a preset sedimentation time, and then sedimented again for a preset time until the turbidity data of the supernatant meets the discharge standards for the supernatant.

[0031] In some embodiments of this application, when N < Na, the mud-water separation unit determines to discharge the supernatant, including:

[0032] The mud-water separation unit determines to discharge the supernatant of the tunnel boring machine waste slurry after sedimentation for the preset time at a preset effluent flow rate, and adjusts the preset effluent flow rate according to the turbidity data of the supernatant to obtain the real-time effluent flow rate.

[0033] The preset water flow velocity is denoted as H;

[0034] The turbidity threshold Nmax is preset to adjust the flow rate, and Nmax < Na;

[0035] When Nmax≤N<Na, the mud-water separation unit determines to use the preset effluent flow rate H as the real-time effluent flow rate Ha;

[0036] When N < Nmax, the mud-water separation unit determines to adjust the preset effluent flow rate H.

[0037] In some embodiments of this application, when N < Nmax, the mud-water separation unit determines to adjust the preset effluent flow rate H, including:

[0038] A first preset turbidity threshold N1, a second preset turbidity threshold N2, and a third preset turbidity threshold N3 are preset, and N1 < N2 < N3 < Nmax; a first preset adjustment coefficient h1, a second preset adjustment coefficient h2, a third preset adjustment coefficient h3, and a fourth preset adjustment coefficient h4 are preset, and 1.2 > h1 > h2 > h3 > h4 > 1;

[0039] When Nmax>N≥N3, the mud-water separation unit selects the fourth preset adjustment coefficient h4 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H×h4;

[0040] When N3>N≥N2, the mud-water separation unit selects a third preset adjustment coefficient h3 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H×h3;

[0041] When N2>N≥N1, the mud-water separation unit selects the second preset adjustment coefficient h2 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H×h2;

[0042] When N1 > N, the mud-water separation unit selects a first preset adjustment coefficient h1 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H × h1.

[0043] After selecting the i-th preset adjustment coefficient hi to adjust the water flow rate H, i = 1, 2, 3, 4, and obtaining the adjusted preset water flow rate as H×hi, the adjusted preset water flow rate H×hi is used as the real-time water flow rate Ha.

[0044] In another aspect, this invention proposes an intelligent treatment method for slurry waste slurry from slurry shield tunneling machines, the method comprising:

[0045] The real-time flow rate of waste slurry generated by the tunnel boring machine is detected, the real-time pumping speed is determined based on the real-time flow rate of the waste slurry, and the waste slurry of the tunnel boring machine is pumped to the treatment station based on the real-time pumping speed.

[0046] After the waste slurry from the tunnel boring machine is pumped to the treatment station, the composition data of the waste slurry is detected, the amount of flocculant to be added is determined based on the composition data, and the waste slurry is treated based on the amount of flocculant to be added.

[0047] The waste slurry from the tunnel boring machine treated with flocculant is transported to a sedimentation tank for sedimentation for a preset time. The turbidity data of the supernatant is obtained to determine whether to discharge the supernatant. When it is determined that the supernatant should be discharged, the supernatant of the waste slurry from the tunnel boring machine after sedimentation for the preset time is discharged at a preset effluent flow rate to complete the treatment of the waste slurry from the tunnel boring machine.

[0048] In the process of discharging the supernatant at the preset effluent flow rate, the turbidity data of the supernatant is acquired, and the preset effluent flow rate is adjusted according to the turbidity data of the supernatant to obtain the real-time effluent flow rate. The supernatant is then discharged according to the real-time effluent flow rate.

[0049] Compared with existing technologies, this invention offers the following advantages: Firstly, it achieves fully automated waste slurry treatment through intelligent control of the waste slurry conveying unit, waste slurry treatment unit, and mud-water separation unit. This reduces manual intervention and improves treatment efficiency and accuracy. The system can monitor the flow rate, composition data, and turbidity data of the waste slurry generated by the tunnel boring machine in real time, and dynamically adjust the pump speed, flocculant dosage, and effluent flow rate based on this data to ensure the continuity and stability of the waste slurry treatment process. By using a multivariate regression model of flocculant based on historical data fitting, the flocculant dosage is accurately calculated, optimizing flocculant usage and thus improving the effectiveness and efficiency of waste slurry treatment. Precise flocculant dosage and dynamically adjusted effluent flow rate avoid waste of flocculant and water resources, improving resource utilization. In the sedimentation tank, the system uses preset time and multiple sedimentation cycles to collect turbidity data of the supernatant, ensuring that the supernatant meets discharge standards before discharge, thereby guaranteeing the thoroughness and environmental friendliness of waste slurry treatment. The system intelligently adjusts the preset effluent flow rate based on the turbidity data of the supernatant to further ensure the discharge quality of the supernatant and enable the system to adapt to the treatment requirements under different operating conditions. Attached Figure Description

[0050] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. In the drawings:

[0051] Figure 1 A structural block diagram of an intelligent treatment system for slurry shield tunneling waste slurry provided in an embodiment of the present invention;

[0052] Figure 2 A flowchart of an intelligent treatment method for slurry shield tunneling waste slurry provided in an embodiment of the present invention. Detailed Implementation

[0053] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey its scope to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0054] See Figure 1 As shown, this invention proposes an intelligent treatment system for slurry waste slurry from slurry shield tunneling machines. The system includes:

[0055] The waste slurry conveying unit is used to detect the real-time flow rate of waste slurry generated by the tunnel boring machine, determine the real-time pumping speed based on the real-time flow rate of the waste slurry, and control the tunnel boring machine to pump the waste slurry to the treatment station based on the real-time pumping speed.

[0056] The waste slurry treatment unit is used to detect the composition data of the waste slurry after it is pumped to the treatment station, determine the amount of flocculant to be added based on the composition data, and treat the waste slurry based on the amount of flocculant added.

[0057] The mud-water separation unit is used to transport the shield machine waste slurry treated with flocculant to the sedimentation tank for sedimentation for a preset time, obtain the turbidity data of the supernatant, and determine whether to discharge the supernatant. When it is determined that the supernatant should be discharged, the supernatant of the shield machine waste slurry after sedimentation for the preset time is discharged at a preset effluent flow rate to complete the shield machine waste slurry treatment.

[0058] In the process of discharging the supernatant at the preset effluent flow rate, the turbidity data of the supernatant is acquired, and the preset effluent flow rate is adjusted according to the turbidity data of the supernatant to obtain the real-time effluent flow rate. The supernatant is then discharged according to the real-time effluent flow rate.

[0059] Understandably, in this embodiment, the system can detect the flow rate and composition data of the waste slurry generated by the tunnel boring machine in real time, and dynamically adjust the pumping speed and flocculant dosage based on this data, thereby ensuring the continuity and stability of the waste slurry treatment process. This real-time response and adjustment capability helps to quickly adapt to the waste slurry treatment needs under different working conditions, improving the efficiency and accuracy of treatment. Each link in the waste slurry treatment process is intelligently designed and controlled, such as waste slurry transportation, waste slurry treatment, and slurry-water separation. The system can autonomously adjust operating parameters based on real-time data, reducing the need for manual intervention and improving the automation and intelligence level of the treatment process. By determining the flocculant dosage based on the waste slurry composition data, the system can accurately control the amount of flocculant used, avoiding resource waste caused by excessive dosage. At the same time, by dynamically adjusting the effluent flow rate, the system can optimize the efficiency of waste slurry treatment and improve resource utilization efficiency. The slurry-water separation unit can determine whether to discharge the supernatant based on the turbidity data of the supernatant, and ensure that the discharged supernatant meets the discharge standards by adjusting the effluent flow rate. This helps to protect the environment, maintain ecological balance, and meet environmental protection requirements. The system's intelligent design simplifies operation, requiring only monitoring of system performance without frequent parameter adjustments. This reduces operator workload and improves operational efficiency and reliability.

[0060] In some embodiments of this application, the waste slurry conveying unit is used to detect the real-time flow rate of waste slurry generated by the tunnel boring machine, and when determining the real-time pumping speed based on the real-time flow rate of the waste slurry, it includes:

[0061] The real-time flow rate of the waste slurry is denoted as V;

[0062] The first preset waste slurry target flow rate V1, the second preset waste slurry target flow rate V2, and the third preset waste slurry target flow rate V3 are preset, and V1 > V2 > V3; the first preset real-time pumping speed R1, the second preset real-time pumping speed R2, the third preset real-time pumping speed R3, and the fourth preset real-time pumping speed R4 are preset, and R1 > R2 > R3 > R4.

[0063] When V≥V1, the waste slurry conveying unit determines the first preset real-time pumping speed R1 as the real-time pumping speed;

[0064] When V1>V≥V2, the waste slurry conveying unit determines the second preset real-time pumping speed R2 as the real-time pumping speed;

[0065] When V2>V≥V3, the waste slurry conveying unit determines the third preset real-time pumping speed R3 as the real-time pumping speed;

[0066] When V3 > V, the waste slurry conveying unit determines the fourth preset real-time pumping speed R4 as the real-time pumping speed.

[0067] Understandably, in this embodiment, by dynamically adjusting the real-time pumping speed based on the real-time flow rate of the waste slurry generated by the tunnel boring machine, the system can select an appropriate pumping speed according to different flow conditions, thereby optimizing the waste slurry delivery effect. Based on pre-set different target waste slurry flow rates (V1, V2, V3), the system can automatically select the corresponding real-time pumping speed, ensuring that the pumping volume matches the actual demand. This ensures the stability and continuity of waste slurry delivery, avoiding process problems caused by excessive or insufficient pumping flow. By dynamically adjusting the pumping speed, the system can flexibly control energy consumption according to the actual flow conditions, achieving energy savings. Simultaneously, the enhanced matching of waste slurry delivery reduces unnecessary waste slurry discharge, lowering the environmental impact and meeting energy conservation and emission reduction requirements. Selecting an appropriate pumping speed helps reduce equipment wear and damage, extending equipment lifespan. Excessive pumping flow may cause pipe blockage or pump overload, while insufficient flow may cause equipment idling, affecting normal operation. Because the waste slurry delivery unit can intelligently adjust according to real-time flow conditions, the waste slurry delivery process is more stable and efficient. This helps improve production efficiency, reduce downtime caused by waste slurry transportation issues, and thus increase production output and profits.

[0068] In some embodiments of this application, the waste slurry composition data includes waste slurry turbidity, waste slurry pH value, and total suspended solids content of waste slurry.

[0069] In some embodiments of this application, when the waste slurry treatment unit determines the flocculant dosage based on the waste slurry composition data, it includes:

[0070] The waste slurry treatment unit acquires historical waste slurry composition data and flocculant dosage data from previous waste slurry treatment processes. Based on the historical waste slurry composition data and flocculant dosage data, a multivariate regression model for the flocculant is fitted, with the following relationship:

[0071] D = a × T + b × pH + c × S + d;

[0072] Where D is the flocculant dosage (mg / L); T is the turbidity of the waste slurry (NTU); pH is the pH value of the waste slurry; S is the total suspended solids content of the waste slurry (mg / L); and a, b, c, and d are constants obtained from the fitting.

[0073] The composition data of the waste slurry obtained after the tunnel boring machine waste slurry is pumped to the treatment station is substituted into the above formula to obtain the amount of flocculant to be added.

[0074] Understandably, in this embodiment, by acquiring waste slurry composition data (including turbidity, pH value, and total suspended solids content), the system can determine the flocculant dosage based on a multivariate regression model fitted to historical data, thereby achieving efficient waste slurry treatment. By analyzing waste slurry composition data and flocculant dosage data from historical waste slurry treatment processes, the system can establish a multivariate regression model to accurately predict the relationship between waste slurry turbidity, pH value, total suspended solids content, and flocculant dosage. This allows for precise control of flocculant dosage based on actual waste slurry composition data, ensuring optimal waste slurry treatment results. By dynamically adjusting the flocculant dosage, the system can achieve rapid flocculation and sedimentation of the waste slurry based on its actual composition, thereby improving waste slurry treatment efficiency. This helps reduce waste slurry treatment time and improve production efficiency. Precisely controlling the flocculant dosage avoids resource waste caused by excessive flocculant use and reduces waste slurry treatment costs. Simultaneously, optimizing waste slurry treatment efficiency also saves energy and labor costs, improving economic benefits. Accurate control of the dosage of flocculants used in waste slurry treatment can reduce the content of suspended solids and pollutants in the waste slurry, improve the quality of the supernatant, reduce the impact on the environment, and meet environmental protection requirements.

[0075] In some embodiments of this application, the mud-water separation unit, used to transport the shield machine waste slurry treated with flocculant to a sedimentation tank for sedimentation for a preset time, obtain turbidity data of the supernatant, and determine whether to discharge the supernatant, includes:

[0076] The turbidity data of the supernatant after the waste slurry from the tunnel boring machine treated with flocculant is recorded as N after sedimentation in a settling tank for a preset time.

[0077] Pre-set the target turbidity (Na) of the supernatant;

[0078] When N≥Na, the mud-water separation unit determines not to discharge the supernatant;

[0079] When N < Na, the mud-water separation unit determines to discharge the supernatant.

[0080] In some embodiments of this application, when N≥Na, and the mud-water separation unit determines not to discharge the supernatant, the following steps are included:

[0081] The mud-water separation unit determines that the waste slurry from the tunnel boring machine, after being treated with flocculant, will be transported to the sedimentation tank for a preset sedimentation time, and then sedimented again for a preset time until the turbidity data of the supernatant meets the discharge standards for the supernatant.

[0082] In some embodiments of this application, when N < Na, the mud-water separation unit determines to discharge the supernatant, including:

[0083] The mud-water separation unit determines to discharge the supernatant of the tunnel boring machine waste slurry after sedimentation for the preset time at a preset effluent flow rate, and adjusts the preset effluent flow rate according to the turbidity data of the supernatant to obtain the real-time effluent flow rate.

[0084] The preset water flow velocity is denoted as H;

[0085] The turbidity threshold Nmax is preset to adjust the flow rate, and Nmax < Na;

[0086] When Nmax≤N<Na, the mud-water separation unit determines to use the preset effluent flow rate H as the real-time effluent flow rate Ha;

[0087] When N < Nmax, the mud-water separation unit determines to adjust the preset effluent flow rate H.

[0088] In some embodiments of this application, when N < Nmax, the mud-water separation unit determines to adjust the preset effluent flow rate H, including:

[0089] A first preset turbidity threshold N1, a second preset turbidity threshold N2, and a third preset turbidity threshold N3 are preset, and N1 < N2 < N3 < Nmax; a first preset adjustment coefficient h1, a second preset adjustment coefficient h2, a third preset adjustment coefficient h3, and a fourth preset adjustment coefficient h4 are preset, and 1.2 > h1 > h2 > h3 > h4 > 1;

[0090] When Nmax>N≥N3, the mud-water separation unit selects the fourth preset adjustment coefficient h4 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H×h4;

[0091] When N3>N≥N2, the mud-water separation unit selects a third preset adjustment coefficient h3 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H×h3;

[0092] When N2>N≥N1, the mud-water separation unit selects the second preset adjustment coefficient h2 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H×h2;

[0093] When N1 > N, the mud-water separation unit selects a first preset adjustment coefficient h1 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H × h1.

[0094] After selecting the i-th preset adjustment coefficient hi to adjust the water flow rate H, i = 1, 2, 3, 4, and obtaining the adjusted preset water flow rate as H×hi, the adjusted preset water flow rate H×hi is used as the real-time water flow rate Ha.

[0095] Understandably, in this embodiment, the system determines whether to discharge the supernatant based on real-time monitored turbidity data (N) and a pre-set target turbidity (Na), thereby achieving real-time monitoring and control of the waste slurry treatment process. This intelligent discharge strategy can be adjusted in real time according to changes in water quality to ensure that the discharged water quality meets requirements. The system determines whether to discharge the supernatant based on turbidity data (N) and the target turbidity (Na), and adjusts the flow rate during discharge, minimizing unnecessary wastewater discharge. This helps conserve water resources, reduce the impact on the surrounding environment, and meets the requirements of sustainable development. When discharging the supernatant, the system dynamically adjusts the effluent flow rate, making the discharged water quality more stable and optimized. This helps improve the quality of discharged water, reduce pollution to the surrounding environment, and meets environmental protection requirements. The system adjusts the effluent flow rate based on real-time changes in turbidity data to meet discharge standards, maximizing the optimization of discharge control. This intelligent discharge control method ensures the efficiency and quality of wastewater treatment, reduces the need for manual intervention, and improves operational convenience and accuracy.

[0096] On another front, see Figure 2 As shown in the figure, this embodiment provides an intelligent treatment method for slurry waste slurry from slurry shield tunneling machines. The method includes:

[0097] S101: Detect the real-time flow rate of waste slurry generated by the tunnel boring machine, determine the real-time pumping speed based on the real-time flow rate of the waste slurry, and control the tunnel boring machine to pump the waste slurry to the treatment station based on the real-time pumping speed.

[0098] S102: After the tunnel boring machine waste slurry is pumped to the treatment station, the waste slurry composition data is detected, the flocculant dosage is determined based on the waste slurry composition data, and the waste slurry is treated based on the flocculant dosage.

[0099] S103: The shield machine waste slurry treated with flocculant is transported to the sedimentation tank for sedimentation for a preset time, the turbidity data of the supernatant is obtained, and it is determined whether to discharge the supernatant. When it is determined to discharge the supernatant, the supernatant of the shield machine waste slurry after sedimentation for the preset time is discharged at a preset effluent flow rate to complete the shield machine waste slurry treatment.

[0100] In the process of discharging the supernatant at the preset effluent flow rate, the turbidity data of the supernatant is acquired, and the preset effluent flow rate is adjusted according to the turbidity data of the supernatant to obtain the real-time effluent flow rate. The supernatant is then discharged according to the real-time effluent flow rate.

[0101] It is understandable that the intelligent treatment method for slurry shield tunneling waste slurry in this embodiment achieves continuous, efficient and precise control of the waste slurry treatment process through intelligent control means, and has significant economic, environmental and convenient operation benefits.

[0102] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0103] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0104] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0105] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0106] 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 it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A smart system for treating slurry wastewater from slurry shield tunneling machines, characterized in that, include: The waste slurry conveying unit is used to detect the real-time flow rate of waste slurry generated by the tunnel boring machine, determine the real-time pumping speed based on the real-time flow rate of the waste slurry, and control the tunnel boring machine to pump the waste slurry to the treatment station based on the real-time pumping speed. The waste slurry treatment unit is used to detect the composition data of the waste slurry after it is pumped to the treatment station, determine the amount of flocculant to be added based on the composition data, and treat the waste slurry based on the amount of flocculant added. The mud-water separation unit is used to transport the shield machine waste slurry treated with flocculant to the sedimentation tank for sedimentation for a preset time, obtain the turbidity data of the supernatant, and determine whether to discharge the supernatant. When it is determined that the supernatant should be discharged, the supernatant of the shield machine waste slurry after sedimentation for the preset time is discharged at a preset effluent flow rate to complete the shield machine waste slurry treatment. In the process of discharging the supernatant at the preset effluent flow rate, the turbidity data of the supernatant is acquired, and the preset effluent flow rate is adjusted according to the turbidity data of the supernatant to obtain the real-time effluent flow rate. The supernatant is then discharged according to the real-time effluent flow rate. The process of transporting shield tunneling machine waste slurry treated with flocculants to a sedimentation tank for a preset sedimentation time, obtaining turbidity data of the supernatant, and determining whether to discharge the supernatant includes: The turbidity data of the supernatant after the waste slurry from the tunnel boring machine treated with flocculant is recorded as N after sedimentation in a settling tank for a preset time. Pre-set the target turbidity (Na) of the supernatant; When N≥Na, the mud-water separation unit determines not to discharge the supernatant; When N < Na, the mud-water separation unit determines to discharge the supernatant; When N≥Na, the mud-water separation unit determines not to discharge the supernatant, including: The mud-water separation unit determines that the shield machine waste slurry treated with flocculant will be transported to the sedimentation tank for sedimentation for a preset time, and then sedimented again for a preset time until the turbidity data of the supernatant meets the discharge standard of the supernatant. When N < Na, the mud-water separation unit determines to discharge the supernatant, including: The mud-water separation unit determines to discharge the supernatant of the tunnel boring machine waste slurry after sedimentation for the preset time at a preset effluent flow rate, and adjusts the preset effluent flow rate according to the turbidity data of the supernatant to obtain the real-time effluent flow rate. The preset water flow velocity is denoted as H; The turbidity threshold Nmax is preset to adjust the flow rate, and Nmax < Na; When Nmax≤N<Na, the mud-water separation unit determines to use the preset effluent flow rate H as the real-time effluent flow rate Ha; When N < Nmax, the mud-water separation unit determines to adjust the preset effluent flow rate H.

2. The intelligent slurry treatment system for slurry shield tunneling as described in claim 1, characterized in that, The waste slurry conveying unit is used to detect the real-time flow rate of waste slurry generated by the tunnel boring machine. When determining the real-time pumping speed based on the real-time flow rate of the waste slurry, it includes: The real-time flow rate of the waste slurry is denoted as V; The first preset waste slurry target flow rate V1, the second preset waste slurry target flow rate V2, and the third preset waste slurry target flow rate V3 are preset, and V1 > V2 > V3; the first preset real-time pumping speed R1, the second preset real-time pumping speed R2, the third preset real-time pumping speed R3, and the fourth preset real-time pumping speed R4 are preset, and R1 > R2 > R3 > R4. When V≥V1, the waste slurry conveying unit determines the first preset real-time pumping speed R1 as the real-time pumping speed; When V1>V≥V2, the waste slurry conveying unit determines the second preset real-time pumping speed R2 as the real-time pumping speed; When V2>V≥V3, the waste slurry conveying unit determines the third preset real-time pumping speed R3 as the real-time pumping speed; When V3 > V, the waste slurry conveying unit determines the fourth preset real-time pumping speed R4 as the real-time pumping speed.

3. The intelligent treatment system for slurry shield tunneling waste slurry according to claim 2, characterized in that, The waste slurry composition data includes waste slurry turbidity, waste slurry pH value, and total suspended solids content of waste slurry.

4. The intelligent treatment system for slurry wastewater from slurry shield tunneling as described in claim 1, characterized in that, When N < Nmax, the mud-water separation unit determines to adjust the preset effluent flow rate H, including: A first preset turbidity threshold N1, a second preset turbidity threshold N2, and a third preset turbidity threshold N3 are preset, and N1 < N2 < N3 < Nmax; a first preset adjustment coefficient h1, a second preset adjustment coefficient h2, a third preset adjustment coefficient h3, and a fourth preset adjustment coefficient h4 are preset, and 1.2 > h1 > h2 > h3 > h4 > 1; When Nmax>N≥N3, the mud-water separation unit selects the fourth preset adjustment coefficient h4 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H×h4; When N3>N≥N2, the mud-water separation unit selects a third preset adjustment coefficient h3 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H×h3; When N2>N≥N1, the mud-water separation unit selects the second preset adjustment coefficient h2 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H×h2; When N1 > N, the mud-water separation unit selects a first preset adjustment coefficient h1 to adjust the preset effluent flow rate H, and the adjusted preset effluent flow rate is H × h1. After selecting the i-th preset adjustment coefficient hi to adjust the water flow rate H, i=1, 2, 3, 4, and obtaining the adjusted preset water flow rate as H×hi, the adjusted preset water flow rate H×hi is used as the real-time water flow rate Ha.

5. A method for intelligent treatment of slurry wastewater from slurry shield tunneling, characterized in that, The system applied to the intelligent treatment system for slurry shield tunneling waste slurry as described in any one of claims 1-4 includes: The real-time flow rate of waste slurry generated by the tunnel boring machine is detected, the real-time pumping speed is determined based on the real-time flow rate of the waste slurry, and the waste slurry of the tunnel boring machine is pumped to the treatment station based on the real-time pumping speed. After the waste slurry from the tunnel boring machine is pumped to the treatment station, the composition data of the waste slurry is detected, the amount of flocculant to be added is determined based on the composition data, and the waste slurry is treated based on the amount of flocculant to be added. The waste slurry from the tunnel boring machine treated with flocculant is transported to a sedimentation tank for sedimentation for a preset time. The turbidity data of the supernatant is obtained to determine whether to discharge the supernatant. When it is determined that the supernatant should be discharged, the supernatant of the waste slurry from the tunnel boring machine after sedimentation for the preset time is discharged at a preset effluent flow rate to complete the treatment of the waste slurry from the tunnel boring machine. In the process of discharging the supernatant at the preset effluent flow rate, the turbidity data of the supernatant is acquired, and the preset effluent flow rate is adjusted according to the turbidity data of the supernatant to obtain the real-time effluent flow rate. The supernatant is then discharged according to the real-time effluent flow rate.

Citation Information

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