Double-wheel groove milling slurry matching control method and system

Abstract

The invention relates to the technical field of double-wheel groove milling, and particularly provides a double-wheel groove milling slurry matching control method and system.The method comprises the steps that real-time operation data of a double-wheel groove milling machine, real-time operation data of a slurry circulating system and real-time operation data of slag removal equipment are obtained respectively, and all the real-time operation data are preprocessed; analyzing and acquiring a current construction working condition according to all the real-time operation data; according to the current construction working condition and the real-time operation data of the slurry circulation system, analyzing and obtaining the current performance of slurry, and determining the target slurry performance according to the current construction working condition; according to the current performance of the slurry and the target performance of the slurry, a circulating system adjusting amount and a deslagging equipment adjusting amount are obtained, then working parameters of the slurry circulating system are adjusted according to the circulating system adjusting amount, and working parameters of deslagging equipment are adjusted according to the deslagging equipment adjusting amount; according to the method, the construction working condition can be dynamically and timely identified, the slurry performance can be accurately identified, and the working parameters of each device can be objectively adjusted based on the slurry performance.

Description

Technical Field

[0001] The present invention relates to the technical field of double-wheel slot milling, and in particular to a double-wheel slot milling slurry matching control method and system. Background Art

[0002] Double-wheel slot milling is a key technical step in underground engineering construction, particularly in underground diaphragm wall construction. This process utilizes a double-wheel slot milling machine to cut the ground and simultaneously inject a retaining wall slurry into the slot to maintain the stability of the slot wall and prevent collapse. The retaining wall slurry plays a crucial role in construction, not only applying pressure to the slot wall to form a filter cake but also possessing excellent rheological properties and carrying capacity to transport the milling debris to the surface for processing through a circulation system. The performance parameters of the retaining wall slurry, such as viscosity and yield strength, directly impact the retaining wall effectiveness, debris carrying efficiency, construction progress, and the quality of subsequent concrete placements.

[0003] In traditional double-wheel slot milling construction, the proportion and supply of the wall protection slurry are typically determined based on preliminary geological survey reports and the construction company's experience. During construction, slurry performance monitoring relies primarily on periodic manual testing by on-site operators. If significant deviations in slurry performance parameters are detected, the operator will manually adjust the operating parameters of various equipment (such as the component ratio or supply flow rate of the newly prepared slurry) based on their experience.

[0004] However, the actual construction environment of underground projects is often complex and changeable. The formation conditions may change rapidly along the depth and length of the trench section and show significant heterogeneity. During the construction process, a variety of complex working conditions may be encountered (such as weak and easily collapsed soil layers, groundwater-rich sand layers, high-strength hard rock interlayers, fault zones, etc.). When the formation conditions change, the milling resistance, the particle size and amount of the generated debris, and the formation water loss or water inflow will also change accordingly. For example, when encountering highly permeable sand layers or groundwater influx, the wall slurry may quickly lose water or be diluted, resulting in a sharp drop in viscosity and yield strength, weakening the wall protection ability, and putting the trench wall at risk of instability. When encountering hard rock interlayers, the fine rock powder produced by milling will significantly increase the density and sand content of the return slurry, reducing the fluidity of the slurry and the efficiency of carrying debris, while also increasing the burden on the slag removal equipment.

[0005] Since traditional control methods are difficult to cope with such complex and changeable working conditions, the frequency of manual monitoring is limited, and empirical judgment is subjective and lacks quantitative basis, the existing technology has the problem of slow response to sudden formation changes and insufficient adjustment accuracy due to the reliance on on-site operators to conduct periodic manual inspections for slurry performance monitoring and the reliance on the operators' experience to determine the adjustment amount of working parameters, resulting in low accuracy and reliability of slurry performance adjustment.

[0006] There is no effective technical solution to the above problems. It should be noted that the above information disclosed in this section is only used to understand the background of the present invention, and therefore may contain information that does not constitute prior art. Summary of the Invention

[0007] The purpose of the present invention is to provide a double-wheel milling groove slurry matching control method and system, which can effectively solve the problem of slow response to sudden formation changes and insufficient adjustment accuracy due to the fact that the monitoring of slurry performance relies on periodic manual inspection by on-site operators and the determination of working parameter adjustment amounts relies on the operator's experience.

[0008] In a first aspect, the present invention provides a double-wheel milling slurry matching control method, which comprises the following steps: S1. Obtain the real-time operating data of the double-wheel slot milling machine, the slurry circulation system, and the slag removal equipment respectively, and pre-process all the real-time operating data; S2. Obtain the current construction status based on all real-time operation data analysis; S3. Analyze the current slurry performance based on the current construction conditions and the real-time operating data of the slurry circulation system, and determine the target slurry performance based on the current construction conditions; S4. Obtain the circulation system adjustment amount and the slag removal equipment adjustment amount according to the current slurry performance and the target slurry performance, and then adjust the working parameters of the slurry circulation system according to the circulation system adjustment amount and the working parameters of the slag removal equipment according to the slag removal equipment adjustment amount.

[0009] The present invention provides a double-wheel milling groove slurry matching control method, which can dynamically and timely identify the construction conditions by obtaining the current construction conditions based on the real-time operation data analysis of multi-source equipment, and accurately identify the slurry performance by first obtaining the current slurry performance and the slurry target performance based on the current construction conditions, and then determine the circulation system adjustment amount and the slag removal equipment adjustment amount based on the difference in slurry performance. The working parameters of each device are objectively adjusted based on the slurry performance, so that the adjusted slurry performance can accurately adapt to the current formation conditions. Therefore, the present invention can effectively solve the problem of slow response to sudden formation changes and insufficient adjustment accuracy due to the reliance on periodic manual inspection of slurry performance monitoring by on-site operators and the reliance on the operator's experience to determine the working parameter adjustment amount, thereby effectively improving the accuracy and reliability of slurry performance adjustment.

[0010] In a second aspect, the present invention further provides a double-wheel milling slurry matching control system, which includes: Data processing module 1 is used to obtain real-time operating data of the double-wheel slot milling machine, slurry circulation system and slag removal equipment respectively, and pre-process all real-time operating data; Construction condition analysis module 2, used to analyze and obtain the current construction condition based on all real-time operation data; Slurry performance analysis module 3 is used to obtain the current slurry performance based on the current construction conditions and the real-time operation data of the slurry circulation system, and determine the target slurry performance according to the current construction conditions; The working parameter adjustment module 4 is used to obtain the circulation system adjustment amount and the slag removal equipment adjustment amount according to the current slurry performance and the target slurry performance, and then adjust the working parameters of the slurry circulation system according to the circulation system adjustment amount and adjust the working parameters of the slag removal equipment according to the slag removal equipment adjustment amount.

[0011] A double-wheel milling groove slurry matching control system provided by the present invention includes a data processing module 1, a construction condition analysis module 2, a slurry performance analysis module 3 and a working parameter adjustment module 4. The double-wheel milling groove slurry matching control system provided in this embodiment is used to execute the steps in the double-wheel milling groove slurry matching control method provided in the first aspect above. The principle of the double-wheel milling groove slurry matching control system provided in this embodiment is the same as the principle of the double-wheel milling groove slurry matching control method provided in the first aspect above, and will not be discussed in detail here.

[0012] From the above, it can be seen that the double-wheel milling groove slurry matching control method and system provided by the present invention can realize dynamic and timely identification of construction conditions by obtaining the current construction conditions based on real-time operation data analysis of multi-source equipment, and accurately identify the slurry performance by first obtaining the current slurry performance and the slurry target performance based on the current construction conditions, and then determining the circulation system adjustment amount and the slag removal equipment adjustment amount based on the difference in slurry performance. The working parameters of each equipment are objectively adjusted based on the slurry performance, so that the adjusted slurry performance can accurately adapt to the current formation conditions. Therefore, the present invention can effectively solve the problem of slow response to sudden formation changes and insufficient adjustment accuracy due to the reliance on periodic manual inspection of slurry performance by on-site operators and the reliance on the experience of operators to determine the adjustment amount of working parameters, thereby effectively improving the accuracy and reliability of slurry performance adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A flow chart of a double-wheel milling slurry matching control method provided in an embodiment of the present invention.

[0014] Figure 2 A schematic structural diagram of a double-wheel milling slurry matching control system provided in an embodiment of the present invention.

[0015] Figure numerals: 1. Data processing module; 2. Construction condition analysis module; 3. Slurry performance analysis module; 4. Working parameter adjustment module. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.

[0017] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are used only to distinguish the description and should not be understood as indicating or implying relative importance.

[0018] In traditional double-wheel slot milling construction, the performance of the wall protection slurry is crucial to the effectiveness of the work. Traditional slurry control methods rely on periodic manual testing and empirical judgment by on-site operators to determine the appropriate adjustments to the equipment's operating parameters. This method, when faced with complex and changing ground conditions, suffers from a lag in monitoring slurry performance changes and lacks a quantitative basis for adjusting equipment operating parameters. This results in insufficient adjustment accuracy, directly impacting the degree to which slurry performance matches actual construction conditions, reducing wall protection effectiveness, soil carryover efficiency, and construction reliability.

[0019] For example, imagine a double-wheel slot milling machine traversing a stratum profile during underground continuous wall construction. The profile consists of a weak, easily collapsed clay layer, a groundwater-rich sand layer, and a high-strength hard rock interlayer. When entering the sand layer from the clay layer, the permeability of the formation increases dramatically, and the water in the slurry quickly seeps into the formation, causing the viscosity and yield strength of the slurry in the slot to drop rapidly. Simultaneously, the influx of groundwater further dilutes the slurry. Traditional periodic manual inspections may not detect the rapid deterioration of slurry properties in a timely manner. When the slot milling machine enters the hard rock interlayer, a large amount of fine rock powder generated by milling enters the slurry, significantly increasing the return slurry density and sand content, reducing the slurry fluidity, and decreasing the slag carrying capacity. Operators adjust the slag removal equipment parameters based on their experience. However, due to a lack of accurate assessment of the current operating conditions and slurry properties, the adjustments may be inaccurate, resulting in insufficient slag removal efficiency and continued deterioration of slurry properties.

[0020] If these issues are not addressed, grout properties will be unable to adapt promptly and accurately to changes in the ground. In weak, easily collapsed or water-rich formations, insufficient grout wall protection may lead to trench wall instability and cause a collapse. In hard rock interlayers, inefficient grout carryover will cause soil to accumulate at the bottom or within the trench, impacting milling efficiency and trench depth, and even potentially jamming the milling cutter. Sustained deviations in grout properties will also affect the bond between the concrete and the trench wall during subsequent concrete pours. These consequences will directly lead to increased construction risks, delays, increased costs, and reduced project quality.

[0021] First, as Figure 1 As shown, the present invention provides a double-wheel milling slurry matching control method, which includes the following steps: S1. Obtain the real-time operating data of the double-wheel slot milling machine, the slurry circulation system, and the slag removal equipment respectively, and pre-process all the real-time operating data; S2. Obtain the current construction status based on all real-time operation data analysis; S3. Analyze the current slurry performance based on the current construction conditions and the real-time operating data of the slurry circulation system, and determine the target slurry performance based on the current construction conditions; S4. Obtain the circulation system adjustment amount and the slag removal equipment adjustment amount according to the current slurry performance and the target slurry performance, and then adjust the working parameters of the slurry circulation system according to the circulation system adjustment amount and the working parameters of the slag removal equipment according to the slag removal equipment adjustment amount.

[0022] Real-time operation data refers to data reflecting the dynamic state of the dual-wheel slot milling machine, slurry circulation system, and slag removal equipment during operation. The dual-wheel slot milling machine, slurry circulation system, and slag removal equipment in this embodiment are preferably existing equipment, and their operating principles are not discussed in detail here. This embodiment can utilize various sensors (such as torque sensors, flow meters, densitometers, pressure sensors, speed sensors, and sand content detectors) installed on the dual-wheel slot milling machine, slurry circulation system, and slag removal equipment, or the equipment's built-in monitoring interfaces to acquire real-time operation data. This embodiment can obtain comprehensive and continuous operation information at the construction site by acquiring real-time operation data from the dual-wheel slot milling machine, slurry circulation system, and slag removal equipment. Preprocessing refers to performing necessary processing on the acquired real-time operation data to improve its usability and accuracy. This embodiment can utilize techniques such as data synchronization, data cleaning, data filtering, and data normalization to preprocess all real-time operation data. For example, this can align timestamps and remove outliers and noise data. This embodiment can ensure the quality of the data used for subsequent analysis by preprocessing all real-time operation data.

[0023] The current construction condition refers to the embodiment of the specific formation conditions in which the current double-wheel slot milling construction is located. Since the real-time operating data of the double-wheel slot milling machine, the slurry circulation system and the slag removal equipment are all related to the formation conditions, for example, when milling hard rock formations, the real-time operating data of the double-wheel slot milling machine are manifested as high milling torque and slow footage speed, the real-time operating data of the slurry circulation system are manifested as high return slurry density and high sand content, and the real-time operating data of the slag removal equipment are manifested as low slag removal efficiency; when milling sand layers rich in groundwater, the real-time operating data of the double-wheel slot milling machine are manifested as low milling torque and fast footage speed, and the real-time operating data of the slurry circulation system are manifested as large slurry flow rate and low return slurry density. Therefore, this embodiment can obtain the current construction condition based on the analysis of all real-time operating data. Specifically, this embodiment can obtain the current construction condition by querying a pre-built mapping relationship table of real-time operation data combinations and construction conditions based on all real-time operation data. The mapping relationship table stores the construction conditions corresponding to different real-time operation data combinations. This embodiment can also obtain the current construction condition by inputting all real-time operation data into a pre-trained construction condition evaluation model. The construction condition evaluation model can evaluate the construction condition based on the input operation data of different equipment, and output the corresponding construction condition evaluation results.

[0024] The current performance of the slurry refers to the various performance parameters (such as viscosity and yield strength) that the wall protection slurry actually possesses at the current moment. Since the construction conditions are an important factor affecting the performance of the slurry, different construction conditions will have different impacts on the performance of the slurry. For example, when milling in soft soil layers, the amount of debris generated is small, and the viscosity and yield strength of the slurry change little, that is, the soft soil layer has little impact on the performance of the slurry; when milling in sand layers rich in groundwater, the influx of groundwater will cause the slurry to be diluted, and the viscosity and yield strength of the slurry will decrease, that is, the sand layers rich in groundwater have a greater impact on the performance of the slurry, and the real-time operation data of the slurry circulation system directly reflects the performance level of the slurry itself. The current performance of the slurry can be obtained by comprehensively considering the performance level of the slurry itself and the impact of the construction conditions on the performance of the slurry. Therefore, this embodiment can obtain the current performance of the slurry based on the current construction conditions and the real-time operation data analysis of the slurry circulation system. The target slurry performance refers to the ideal performance state that the wall protection slurry should achieve under the current construction conditions. This embodiment can obtain the target slurry performance by querying a pre-built mapping relationship table between construction conditions and ideal slurry performance based on the current construction conditions. This embodiment can set the direction and target of slurry performance adjustment by obtaining the target slurry performance.

[0025] The circulation system adjustment amount and the slag removal equipment adjustment amount refer to the quantitative adjustment range of the working parameters of the slurry circulation system and the slag removal equipment that needs to be adjusted in order to make the current performance of the slurry approach the target slurry performance. This embodiment can determine the circulation system adjustment amount and the slag removal equipment adjustment amount by querying a pre-constructed mapping relationship table of performance differences, circulation adjustment amounts and slag removal adjustment amounts based on the difference between the current slurry performance and the target slurry performance. This embodiment can also determine the circulation system adjustment amount and the slag removal equipment adjustment amount by substituting the current slurry performance and the target slurry performance into a pre-constructed PID control algorithm. This embodiment converts the gap between the actual performance of the slurry and the target performance into specific equipment control instructions by obtaining the circulation system adjustment amount and the slag removal equipment adjustment amount based on the current slurry performance and the target slurry performance. Adjusting the working parameters of the slurry circulation system and adjusting the working parameters of the slag removal equipment refers to the process of changing the specific operating settings of the slurry circulation system (such as the supply flow rate of each component, the total circulation flow rate) and the slag removal equipment (such as the cyclone feed pressure, the centrifuge speed) according to the calculated adjustment amount. This embodiment can change the slurry performance by adjusting the working parameters of the slurry circulation system according to the circulation system adjustment amount and adjusting the working parameters of the slag removal equipment according to the slag removal equipment adjustment amount, so that the actual performance of the slurry reaches the target performance.

[0026] The core innovation of the present invention lies in that the current construction conditions are obtained by analyzing the real-time operation data of multi-source equipment to achieve dynamic and timely identification of construction conditions, and the current slurry performance and target slurry performance are first obtained based on the current construction conditions, and then the circulation system adjustment amount and the slag removal equipment adjustment amount are determined based on the difference in slurry performance to achieve accurate identification of slurry performance and objective adjustment of the working parameters of each equipment based on the slurry performance, so that the adjusted slurry performance can accurately adapt to the current formation conditions. Therefore, the present invention can effectively solve the problem of slow response to sudden formation changes and insufficient adjustment accuracy due to the reliance on periodic manual inspection of slurry performance monitoring by on-site operators and the reliance on the experience of operators to determine the adjustment amount of working parameters, thereby effectively improving the accuracy and reliability of slurry performance adjustment.

[0027] Specifically, this method comprehensively captures dynamic information about the construction site by collecting real-time operating data from the dual-wheel slot milling machine, slurry circulation system, and slag removal equipment. This data is preprocessed and used to analyze current construction conditions (e.g., soil hardness, slag characteristics, groundwater conditions, etc.). Based on the identified construction conditions and real-time data from the slurry circulation system, the slurry's current actual performance is evaluated, and the desired ideal slurry performance target is determined based on the current conditions. Subsequently, the slurry's actual performance is compared with the target performance to determine, based on the difference between the two, the extent of adjustments required to the slurry circulation system and slag removal equipment (e.g., changing the new slurry's ratio, supply flow rate, or adjusting the slag removal equipment's operating efficiency) to achieve the target performance. Finally, the system automatically adjusts the operating parameters of the slurry circulation system based on the circulation system's adjustment amount and the slag removal equipment's adjustment amount. This process is ongoing, allowing the slurry performance to respond dynamically and quickly to changes in construction conditions. Compared with traditional methods that rely on human experience and manual adjustments, this solution improves the timeliness and accuracy of slurry performance adjustments through data-driven and automated control, overcoming the problems of slow response and insufficient adjustment accuracy of traditional methods.

[0028] As a preferred embodiment, the solution of the present invention is specifically implemented as follows: a torque sensor, a feed speed sensor and a milling cutter speed sensor are installed on the double-wheel slot milling machine; a flow meter, a density meter and a sand content detector are installed on the slurry circulation system pipeline; and a cyclone air inlet pressure sensor and a slag removal efficiency monitoring device are installed on the slag removal equipment. The real-time data collected by all sensors and devices are collected through the data acquisition module, and these real-time data are synchronized and cleaned. The pre-processed data is input into the working condition analysis module, which has a built-in geological working condition identification model. The model can judge whether the current stratum belongs to a sand layer and there is groundwater influx based on the input data. The performance analysis module evaluates the current slurry performance based on the current construction working condition and the real-time operating data of the slurry circulation system. Based on the identified sand layer water influx working condition, the performance analysis module consults the preset working condition-target performance mapping table to determine the ideal slurry performance target under the working condition. The parameter adjustment module calculates adjustments for the circulation system and the deslagging equipment based on the current and target slurry properties. For example, it calculates adjustments for the bentonite slurry supply flow rate based on viscosity differences and for the vibrating screen's amplitude and frequency based on sand content differences. Once these adjustments are calculated, the operating parameter adjustment module sends control commands to the slurry circulation system's supply pump and the deslagging equipment's vibrating screen to automatically adjust their operating parameters, such as increasing the bentonite pump's speed and the vibrating screen's amplitude and frequency.

[0029] In some preferred embodiments, step S3 includes: S31. Evaluate the performance of the slurry according to the real-time operating data of the slurry circulation system to obtain preliminary slurry performance; S32. Analyze the impact of the construction conditions on the slurry properties based on the current construction conditions to obtain a first impact level; S33. Analyzing the influence of the operating state of the double-wheel slot milling machine on the slurry properties based on the real-time operating data of the double-wheel slot milling machine to obtain a second influence degree, and analyzing the influence of the operating state of the slag removal equipment on the slurry properties based on the real-time operating data of the slag removal equipment to obtain a third influence degree; S34, correcting the preliminary slurry properties based on the first influence degree, the second influence degree, and the third influence degree to obtain current slurry properties; S35. According to the current construction conditions, a pre-built mapping relationship table between the construction conditions and the ideal slurry properties is queried to determine the target slurry properties.

[0030] Preliminary slurry performance refers to a preliminary assessment of slurry performance based on data directly measured by the slurry circulation system. This embodiment can obtain preliminary slurry performance by querying a mapping table between slurry circulation system operating data and slurry performance based on real-time operating data of the slurry circulation system. This embodiment can also obtain preliminary slurry performance by inputting the real-time operating data of the slurry circulation system into a pre-trained slurry performance evaluation model. This slurry performance evaluation model can evaluate slurry performance based on the input slurry circulation system operating data and output corresponding slurry performance based on the evaluation results. Analyzing the impact of construction conditions on slurry performance based on current construction conditions refers to the process of analyzing the impact of construction conditions on slurry performance. For example, when encountering high-permeability formations or groundwater influx, the slurry may lose water or become diluted; when encountering hard rock interlayers, the fine rock dust generated will cause the slurry viscosity to increase. The first degree of impact in this embodiment can be a quantitative value or an impact coefficient. This embodiment can use a rule base built based on expert experience or a model trained based on historical data to analyze the impact of construction conditions on slurry performance based on current construction conditions. The operating data of the double-wheel slot milling machine can reflect the operating status of the double-wheel slot milling machine. The operating status of the double-wheel slot milling machine will affect the performance of the slurry. For example, at high torque or slow feed, the double-wheel slot milling machine usually produces a large amount of fine slag. These fine slag will be suspended in the slurry and significantly affect the slurry performance. At high torque or fast feed, the double-wheel slot milling machine usually produces a large amount of coarse slag. These coarse slag will not have a significant impact on the slurry performance. This may mean that when encountering hard formations, more fine slag will be produced, affecting the slurry performance. The second degree of influence of this embodiment can be a quantitative value or an influence coefficient. This embodiment can use a rule base built based on expert experience or a model trained based on historical data to realize the analysis of the impact of the operating status of the double-wheel slot milling machine on the slurry performance based on the real-time operating data of the double-wheel slot milling machine. The operating data of the slag removal equipment can reflect the operating status of the slag removal equipment. The operating status of the slag removal equipment will affect the performance of the slurry. For example, low slag removal efficiency will cause the sand content of the return slurry to continue to increase, thereby reducing the fluidity of the slurry. The third degree of influence of this embodiment can be a quantitative value or an influence coefficient. This embodiment can use a rule base built based on expert experience or a model trained based on historical data to analyze the impact of the operating status of the slag removal equipment on the slurry performance based on the real-time operating data of the slag removal equipment.

[0031] Specifically, this method improves the accuracy of the current performance evaluation of the slurry through multi-source data fusion and step-by-step correction. First, a preliminary evaluation is performed based on the real-time operating data of the slurry circulation system. Then, the effects of the current construction conditions, the operating status of the double-wheel milling machine, and the operating status of the slag removal equipment on the slurry performance are analyzed separately to obtain the respective degrees of influence. These degrees of influence reflect the complex effects of environmental factors and equipment operation on the slurry performance. Next, these degrees of influence are used to correct the preliminary slurry performance to obtain the current performance of the slurry that is closer to reality. This correction mechanism takes into account the comprehensive impact of multiple external and internal factors on the slurry state, thereby overcoming the limitations of relying solely on slurry circulation data for evaluation. At the same time, the pre-built mapping relationship table is queried based on the current construction conditions to quickly and accurately determine the target slurry performance that matches the current conditions, thereby ensuring the targeted nature of the target setting. Through the synergistic effect of these steps, this method can more accurately grasp the actual state of the slurry and set appropriate targets, providing a more reliable basis for subsequent slurry adjustment and enabling the double-wheel milling slurry matching control process to more effectively cope with complex and changeable construction environments, thereby improving the accuracy and reliability of the double-wheel milling slurry matching control.

[0032] As a preferred embodiment, the solution of the present invention is specifically implemented as follows: Step S31 utilizes a preset algorithm or model to calculate preliminary slurry performance parameters (such as preliminary viscosity and fluidity) based on real-time operating data of the slurry circulation system, such as return slurry density and return slurry sand content. In step S32, if the current construction condition analysis indicates that a groundwater-rich sand layer is being traversed, the degree of slurry dilution caused by the groundwater influx is estimated and quantified as a first impact level (e.g., a negative correction value for slurry viscosity and a positive correction value for slurry fluidity). In step S33, if the milling torque of the twin-wheel slot milling machine is consistently high and the feed rate is low, this may indicate that hard rock is being milled, generating a large amount of fine rock dust. This will significantly increase the slurry viscosity and reduce the slurry fluidity. This effect will be quantified as a second degree of influence (e.g., a positive correction value for the slurry viscosity and a negative correction value for the slurry fluidity). Meanwhile, if the cyclone inlet pressure of the slag removal equipment fluctuates significantly or the slag removal efficiency decreases, this may indicate that the slag removal system is overloaded or operating abnormally, with more solid particles remaining in the slurry, resulting in reduced slurry fluidity. This effect will be quantified as a third degree of influence (e.g., a negative correction value for the slurry fluidity). In step S34, the first, second, and third degrees of influence obtained in steps S32 and S33 are applied to the preliminary slurry performance parameters obtained in step S31 by weighted averaging or superposition to calculate the corrected current slurry performance parameters. For example, the preliminary viscosity is multiplied by the viscosity correction value calculated based on the construction conditions, the operation of the slot milling machine, and the operation of the slag removal equipment to obtain the current viscosity. In step S35, the ideal slurry performance parameters corresponding to the current construction conditions are searched in a pre-established mapping table. Through this approach, the present invention can more accurately assess the current slurry performance, thereby improving the accuracy and reliability of subsequent slurry adjustments and effectively addressing the challenges posed by complex and changing construction conditions to slurry performance control.

[0033] In some preferred embodiments, step S31 includes: S311. Evaluate the performance of the slurry according to the real-time operating data of the slurry circulation system to obtain initial slurry performance; S312, obtaining the storage time of the slurry; S313, querying the mapping relationship table between the slurry storage time and the slurry performance correction coefficient constructed according to the storage time to obtain a first performance correction coefficient; S314. Calculate preliminary slurry properties based on the initial slurry properties and the first property correction coefficient.

[0034] The storage time of the slurry refers to the length of time from the completion of the preparation or the start of the use of the slurry to the current moment. Preferably, this embodiment records the storage time of each batch of newly prepared slurry in the database. This embodiment can obtain the storage time of the slurry by first obtaining the storage time of the slurry from the database, and then calculating the difference between the current time and the storage time. The mapping relationship table of the slurry storage time and the slurry performance correction coefficient refers to a data structure for storing the slurry performance correction coefficients corresponding to different storage times. For example, when the storage time is 0-6 hours, the slurry performance correction coefficient is 1.0, when the storage time is 6-12 hours, the slurry performance correction coefficient is 0.95, and when the storage time is 12-24 hours, the slurry performance correction coefficient is 0.9. The first performance correction coefficient refers to the value obtained from the mapping relationship table according to the storage time of the slurry, which is used to quantify the degree of influence of the storage time on the slurry performance. Step S314 can calculate the preliminary slurry performance by multiplying the initial slurry performance by the first performance correction coefficient. Since the performance of the slurry will change with the passage of storage time (for example, an increase in storage time will lead to an increase in the amount of slurry sedimentation, and the longer the storage time, the worse the performance of the slurry), this embodiment can introduce the slurry storage time and use the correction coefficient to make corrections so that the preliminary slurry performance more accurately reflects the actual state of the slurry. Therefore, this embodiment can effectively make up for the shortcomings of relying solely on real-time circulation data evaluation, laying the foundation for subsequent more accurate analysis of the current performance of the slurry, thereby more accurately determining the difference between the target slurry performance and the current slurry performance and calculating more reasonable circulation system adjustment amounts and slag removal equipment adjustment amounts, thereby achieving precise matching control of slurry performance and effectively responding to complex and changeable construction conditions.

[0035] In some preferred embodiments, step S314 includes: A1. Obtain environmental parameter information, including ambient temperature and humidity; A2. Querying a pre-built mapping relationship table of environmental parameters and slurry performance correction coefficients according to the environmental parameter information to obtain a second performance correction coefficient; A3. Calculate preliminary slurry properties based on the initial slurry properties, the first property correction factor, and the second property correction factor.

[0036] Environmental parameter information refers to data reflecting the external environmental state of the construction site. This embodiment can use temperature sensors, humidity sensors and other devices to collect and obtain environmental parameter information in real time. This embodiment can also obtain environmental parameter information through an external meteorological data interface. The environmental parameter information is obtained in order to provide the necessary data basis for subsequent correction of slurry performance based on environmental factors. The mapping relationship table of environmental parameters and slurry performance correction coefficients refers to a search structure that stores the relationship between different environmental parameter combinations (such as temperature range, humidity range) and corresponding slurry performance correction coefficients. For example, when the temperature is 20°C and the humidity is 60%, the slurry performance correction coefficient is 1.0. When the temperature is 28°C and the humidity is 75%, the slurry performance correction coefficient is 0.92. This mapping relationship table quantifies the degree of influence of environmental factors on slurry performance under different environmental conditions. The second performance correction coefficient refers to a numerical factor or offset obtained from the mapping relationship table based on the current environmental parameters and used to correct the slurry performance evaluation results. It can be a proportional coefficient or an addition or subtraction value.

[0037] Specifically, this solution aims to address the issue of ignoring the impact of environmental factors (such as temperature and humidity) on slurry properties when calculating preliminary slurry properties based on initial slurry properties and a first performance correction factor, which can lead to inaccurate preliminary slurry performance assessments. To address this issue, the solution introduces corrections for environmental parameters when calculating preliminary slurry properties.

[0038] First, environmental parameter information is obtained. Environmental parameter information includes ambient temperature and ambient humidity. These environmental parameters are important external factors that affect slurry performance. For example, high temperature may accelerate evaporation or chemical reactions of slurry water, low temperature may affect the fluidity of slurry, and high humidity may affect the water loss rate of slurry. That is, this embodiment provides a data basis for quantifying the impact of environmental factors on slurry performance by obtaining these real-time environmental data. Next, based on the obtained environmental parameter information, a pre-constructed mapping relationship table of environmental parameters and slurry performance correction coefficients is queried to obtain a second performance correction coefficient. This mapping relationship table reflects the degree of change in slurry performance under different ambient temperature and humidity combinations relative to a certain standard environmental condition. That is, this embodiment is equivalent to converting real-time environmental parameters into a specific correction coefficient, which represents the correction amount of the current environment to the slurry performance. Finally, the preliminary slurry performance is calculated based on the initial slurry performance, the first performance correction coefficient, and the second performance correction coefficient to obtain a preliminary slurry performance evaluation result that simultaneously considers the original state of the slurry, the cumulative effect of storage time, and the instantaneous effect of the real-time environment. This result is closer to the actual performance of the slurry than the evaluation result that only considers the storage time and ignores environmental factors, thereby improving the accuracy of the preliminary slurry performance evaluation. This embodiment takes into account the influence of the current environment when calculating the preliminary slurry performance by first obtaining the second performance correction coefficient based on the environmental parameter information and then calculating the preliminary slurry performance in combination with the initial slurry performance, the first performance correction coefficient, and the second performance correction coefficient. Therefore, this embodiment can more comprehensively consider the factors affecting the slurry performance when calculating the preliminary slurry performance, thereby improving the accuracy of the preliminary slurry performance evaluation, and further improving the accuracy of the current performance evaluation of the slurry and the adjustment accuracy of the equipment operating parameters.

[0039] In some preferred embodiments, step S33 includes: S331. Analyze the impact of the operating state of the double-wheel slot milling machine on the slurry properties based on the real-time operating data of the double-wheel slot milling machine to obtain a preliminary impact level. Analyze the impact of the operating state of the slag removal equipment on the slurry properties based on the real-time operating data of the slag removal equipment to obtain a third impact level. S332, obtaining the usage time of the milling cutter of the double-wheel slot milling machine; S333: querying a pre-built mapping relationship table between the usage time of the milling cutter and the impact correction coefficient of the double-wheel slot milling machine according to the usage time of the milling cutter to obtain the impact degree correction coefficient; S334. Calculate a second impact level based on the preliminary impact level and the impact level correction coefficient.

[0040] The "preliminary impact level" refers to a quantitative assessment of the impact of the twin-wheel slot milling machine's current operating state on slurry performance, derived from an analysis of the machine's real-time operating data (e.g., milling torque, feed rate, and cutter speed). The "cutter usage time" refers to the cumulative length of time the twin-wheel slot milling machine's cutter has been in use. This embodiment preferably utilizes a timer to record the cutter usage time. This embodiment can utilize this timer to obtain the cutter usage time. The timer starts when the cutter begins operating and pauses when the cutter stops operating. The mapping table between cutter usage time and twin-wheel slot milling machine impact correction coefficients refers to a data structure that stores the corresponding relationships between different cutter usage times and twin-wheel slot milling machine impact correction coefficients. For example, when the cutter usage time is 100 hours, the corresponding value in the query table yields a correction coefficient of 0.9; when the usage time is 500 hours, the correction coefficient is 1.2. The impact level correction coefficient refers to an adjustment factor used to correct the preliminary impact level to better reflect the impact of the twin-wheel slot milling machine's long-term operating state (e.g., cutter wear) on slurry performance. In step S334 , the second influence level may be calculated by multiplying the preliminary influence level by the influence level correction coefficient.

[0041] Specifically, the solution refines and improves step S33, aiming to more accurately evaluate the impact of the operating status of the double-wheel slot milling machine on the slurry performance. First, the system preliminarily analyzes the initial impact of its operating status (such as milling efficiency) on the slurry performance based on the real-time operating data of the double-wheel slot milling machine (such as torque, speed and feed speed). However, the milling cutter of the double-wheel slot milling machine will wear out over time. The worn milling cutter may cause a decrease in milling efficiency and a change in the particle size distribution of the generated slag. These changes will indirectly affect the slurry performance, but the real-time operating data may not be able to fully capture this long-term cumulative impact. Therefore, the cumulative usage time of the current milling cutter is obtained through step S332. Then, in step S333, this usage time is used to query a pre-established mapping relationship table to obtain a correction coefficient for the degree of influence of the correction amount used to quantify the impact of factors such as milling cutter wear on the double-wheel slot milling machine. Finally, in step S334, the preliminary influence degree obtained in step S331 is combined with the correction coefficient obtained in step S333 to obtain a corrected and more accurate second influence degree of the double-wheel slot milling machine on the slurry performance. This second influence degree reflects the comprehensive influence of the double-wheel slot milling machine on the slurry performance under the current operating state and the current degree of wear of the milling cutter. Through the above technical solution, this embodiment first determines the influence degree correction coefficient according to the length of time the milling cutter is used, and then calculates the second influence degree according to the preliminary influence degree and the influence degree correction coefficient to achieve the inclusion of the wear degree of the milling cutter in the evaluation of the influence degree of the double-wheel slot milling machine on the slurry performance and solves the problem that relying solely on the real-time operating data of the double-wheel slot milling machine is not enough to accurately reflect its actual influence on the slurry performance. Therefore, this embodiment can effectively improve the accuracy of the evaluation of the influence of the operating state of the double-wheel slot milling machine on the slurry performance, thereby effectively improving the overall accuracy of the current performance evaluation of the slurry.

[0042] In some preferred embodiments, step S2 includes: S21. Performing data quality assessment on each piece of real-time operation data based on preset quality assessment rules to obtain a quality score corresponding to each piece of real-time operation data; S22. Determine weights for each piece of real-time operation data based on all quality scores, and then perform weighted processing on the corresponding real-time operation data based on the weights; S23. Analyze all weighted real-time operation data to obtain the current construction status.

[0043] Preset quality assessment rules refer to pre-defined standards or algorithms used to evaluate data reliability or accuracy. These rules may include checking whether sensor readings are within a physically reasonable range, analyzing the consistency of redundant sensor data (e.g., if there are two torque sensors, analyzing whether the data from the two torque sensors are consistent), and checking expected correlations between different parameters. Data quality assessment refers to the process of applying pre-set quality assessment rules to determine the quality of each piece of real-time operational data. A quality score refers to the numerical or categorical value assigned to each piece of real-time operational data after the data quality assessment. This quality score can indicate the reliability of the real-time operational data. Specifically, a higher quality score indicates greater reliability. Determining the weighting of each piece of real-time operational data refers to assigning a weight coefficient to each data point based on the quality score, with data with higher quality scores receiving greater weight. In this embodiment, the weighting of each piece of real-time operational data can be determined by normalizing all quality scores. Weighting refers to adjusting the influence of the data based on the assigned weight when using the real-time operational data. In this embodiment, weighting of the corresponding real-time operational data can be achieved by multiplying the weight by the weight.

[0044] Specifically, this embodiment first performs a data quality assessment on each real-time operation data based on a preset quality assessment rule to obtain a quality score that quantifies its reliability, and determines a weighted weight for each real-time operation data based on these quality scores, with more reliable data receiving a higher weight. Subsequently, the real-time operation data is weighted according to its assigned weight to ensure that high-quality data has a greater impact on subsequent analysis and to reduce the interference of potential errors or low-quality data on the overall judgment. Ultimately, the current construction condition is determined by analyzing all weighted real-time operation data. Since the real-time operation data used for construction condition analysis has been quality assessed and weighted, that is, this embodiment can solve the problem of inaccurate or unreliable condition analysis caused by quality differences in real-time operation data of different equipment, this embodiment can effectively improve the accuracy and reliability of construction condition analysis, so that the current construction condition obtained can more accurately reflect the actual construction status, thereby effectively improving the accuracy of the calculation of the circulation system adjustment amount and the slag removal equipment adjustment amount, and thus effectively improving the overall accuracy and reliability of the slurry matching control method.

[0045] In some preferred embodiments, step S4 includes: S41. Querying a pre-built mapping relationship table of slurry performance differences, construction conditions, and adjustment amount combinations based on the current slurry performance, target slurry performance, and current construction conditions to obtain the circulation system adjustment amount and the slag removal equipment adjustment amount; S42. Adjust the operating parameters of the slurry circulation system according to the adjustment amount of the circulation system, and adjust the operating parameters of the slag removal equipment according to the adjustment amount of the slag removal equipment.

[0046] A slurry performance difference refers to the quantitative difference between the current slurry performance and the target slurry performance. This slurry performance difference can be reflected as the difference or relative change between the current slurry performance and the target slurry performance. A mapping table for slurry performance differences, construction conditions, and adjustment amount combinations refers to a data structure that stores adjustment amount combinations (slurry circulation system adjustment amount and slag removal equipment adjustment amount) corresponding to different slurry performance difference and construction condition combinations. For example, when the slurry performance difference is a viscosity difference of -5s and the construction condition is a groundwater-rich sand layer, the slurry circulation system adjustment amount is to increase the bentonite slurry flow rate XL / min, and the slag removal equipment adjustment amount is to adjust the cyclone inlet pressure to Zbar. This embodiment can more comprehensively consider the impact of the actual construction environment on slurry performance and equipment operation by combining the slurry performance difference with the current construction condition to determine the circulation system adjustment amount and the slag removal equipment adjustment amount. Specifically, this embodiment can more accurately and promptly respond to the impact of complex and changing construction environments on slurry performance, thereby improving the targetedness and effectiveness of slurry performance adjustments, thereby effectively improving the accuracy and reliability of slurry performance adjustments.

[0047] In some preferred embodiments, the real-time operating data of the double-wheel slot milling machine include milling torque, feed speed and milling cutter speed, the real-time operating data of the slurry circulation system include the total slurry flow rate, the supply flow rate of each component, the return slurry density and the return slurry sand content, and the real-time operating data of the slag removal equipment include the cyclone air inlet pressure and the slag removal efficiency. The real-time operating data of the double-wheel slot milling machine include milling torque, feed speed and milling cutter speed. These data directly reflect the machinability of the formation, milling efficiency and the load state of the tool. The real-time operating data of the double-wheel slot milling machine is an important basis for analyzing changes in formation hardness and interlayers. The real-time operating data of the slurry circulation system include the total slurry flow rate, the supply flow rate of each component, the return slurry density and the return slurry sand content. These data are the core parameters for evaluating the current performance of the slurry. They reflect the slurry's proportion, fluidity, ability to carry slag and the degree of slag contamination. They are crucial for judging whether the slurry meets the requirements of wall protection and slag removal. The real-time operating data of the slag removal equipment include the cyclone inlet pressure and slag removal efficiency. These data reflect the working status and effect of the slag removal system. The working status and effect of the slag removal system directly affect the cleanliness of the return slurry, and thus affect the recycling performance of the slurry.

[0048] In some preferred embodiments, preprocessing includes data synchronization and data cleaning. Data synchronization refers to the temporal alignment of data from different devices or sensors, potentially with different sampling frequencies or timestamps, so that it accurately reflects the state at the same point in time or time period. Data synchronization can be achieved using techniques such as timestamp alignment, resampling, or interpolation. Data cleaning refers to the identification and processing of errors, noise, outliers, or missing values ​​in real-time data to improve data quality and reliability. Data cleaning can be achieved using methods such as filtering, outlier detection and removal, and missing value filling (e.g., mean filling or interpolation filling).

[0049] From the above, it can be seen that the double-wheel milling groove slurry matching control method provided by the present invention can realize dynamic and timely identification of construction conditions by obtaining the current construction conditions based on real-time operation data analysis of multi-source equipment, and accurately identify the slurry performance by first obtaining the current slurry performance and the slurry target performance based on the current construction conditions, and then determining the circulation system adjustment amount and the slag removal equipment adjustment amount based on the difference in slurry performance. The working parameters of each equipment are objectively adjusted based on the slurry performance, so that the adjusted slurry performance can accurately adapt to the current formation conditions. Therefore, the present invention can effectively solve the problem of slow response to sudden formation changes and insufficient adjustment accuracy due to the reliance on periodic manual inspection of slurry performance by on-site operators and the reliance on the experience of operators to determine the adjustment amount of working parameters, thereby effectively improving the accuracy and reliability of slurry performance adjustment.

[0050] Second, as Figure 2 As shown, the present invention also provides a double-wheel milling slurry matching control system, which includes: The data processing module is used to obtain the real-time operating data of the double-wheel slot milling machine, the slurry circulation system and the slag removal equipment respectively, and pre-process all the real-time operating data; Construction condition analysis module, used to analyze and obtain current construction conditions based on all real-time operation data; The slurry performance analysis module is used to obtain the current slurry performance based on the current construction conditions and the real-time operation data of the slurry circulation system, and to determine the target slurry performance based on the current construction conditions; The working parameter adjustment module is used to obtain the circulation system adjustment amount and the slag removal equipment adjustment amount according to the current slurry performance and the target slurry performance, and then adjust the working parameters of the slurry circulation system according to the circulation system adjustment amount and adjust the working parameters of the slag removal equipment according to the slag removal equipment adjustment amount.

[0051] The present invention provides a double-wheel slot milling slurry matching control system.

[0052] From the above, it can be seen that the double-wheel milling groove slurry matching control method and system provided by the present invention can realize dynamic and timely identification of construction conditions by obtaining the current construction conditions based on real-time operation data analysis of multi-source equipment, and accurately identify the slurry performance by first obtaining the current slurry performance and the slurry target performance based on the current construction conditions, and then determining the circulation system adjustment amount and the slag removal equipment adjustment amount based on the difference in slurry performance. The working parameters of each equipment are objectively adjusted based on the slurry performance, so that the adjusted slurry performance can accurately adapt to the current formation conditions. Therefore, the present invention can effectively solve the problem of slow response to sudden formation changes and insufficient adjustment accuracy due to the reliance on periodic manual inspection of slurry performance by on-site operators and the reliance on the experience of operators to determine the adjustment amount of working parameters, thereby effectively improving the accuracy and reliability of slurry performance adjustment.

[0053] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the above units is merely a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another robot, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.

[0054] In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0055] In this document, relational terms such as first and second, etc. are used merely to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any actual relationship or order between these entities or operations.

[0056] The above are merely embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A double-wheel milling slurry matching control method, characterized in that: The double-wheel milling slurry matching control method comprises the following steps: S1. respectively obtain real-time operating data of the double-wheel slot milling machine, the slurry circulation system, and the slag removal equipment, and pre-process all the real-time operating data; S2. Analyze and obtain the current construction status based on all the real-time operation data; S3. Analyzing and obtaining current slurry performance based on the current construction working condition and real-time operating data of the slurry circulation system, and determining target slurry performance based on the current construction working condition; S4. Obtain the circulation system adjustment amount and the slag removal equipment adjustment amount according to the current slurry performance and the target slurry performance, and then adjust the working parameters of the slurry circulation system according to the circulation system adjustment amount and adjust the working parameters of the slag removal equipment according to the slag removal equipment adjustment amount.

2. The double-wheel milling slurry matching control method according to claim 1 is characterized in that: Step S3 includes: S31, evaluating the performance of the slurry according to the real-time operating data of the slurry circulation system to obtain preliminary slurry performance; S32. Analyzing the impact of the construction conditions on the slurry properties according to the current construction conditions to obtain a first impact degree; S33, analyzing the influence of the operating state of the double-wheel slot milling machine on the slurry performance based on the real-time operating data of the double-wheel slot milling machine to obtain a second influence degree, and analyzing the influence of the operating state of the slag removal equipment on the slurry performance based on the real-time operating data of the slag removal equipment to obtain a third influence degree; S34, correcting the preliminary slurry properties based on the first influence degree, the second influence degree, and the third influence degree to obtain current slurry properties; S35. According to the current construction condition, a pre-built mapping relationship table between the construction condition and the ideal slurry performance is searched to determine the target slurry performance.

3. The double-wheel milling slurry matching control method according to claim 2, characterized in that: Step S31 includes: S311, evaluating the performance of the slurry according to the real-time operating data of the slurry circulation system to obtain initial slurry performance; S312, obtaining the storage time of the slurry; S313: querying a mapping relationship table between the slurry storage time and the slurry performance correction coefficient constructed according to the storage time to obtain a first performance correction coefficient; S314. Calculate preliminary slurry properties based on the initial slurry properties and the first property correction coefficient.

4. The double-wheel milling slurry matching control method according to claim 3 is characterized in that: Step S314 includes: A1. Acquire environmental parameter information, including ambient temperature and ambient humidity; A2. querying a pre-built mapping relationship table of environmental parameters and slurry performance correction coefficients according to the environmental parameter information to obtain a second performance correction coefficient; A3. Calculate preliminary slurry properties based on the initial slurry properties, the first property correction coefficient, and the second property correction coefficient.

5. The double-wheel milling slurry matching control method according to claim 2, characterized in that: Step S33 includes: S331. Analyze the impact of the operating state of the double-wheel slot milling machine on the slurry properties based on the real-time operating data of the double-wheel slot milling machine to obtain a preliminary impact degree, and analyze the impact of the operating state of the slag removal equipment on the slurry properties based on the real-time operating data of the slag removal equipment to obtain a third impact degree; S332, obtaining the usage time of the milling cutter of the double-wheel slot milling machine; S333: querying a pre-built mapping relationship table of the milling cutter usage time and the impact correction coefficient of the double-wheel slot milling machine according to the milling cutter usage time to obtain the impact degree correction coefficient; S334. Calculate a second impact degree according to the preliminary impact degree and the impact degree correction coefficient.

6. The double-wheel milling slurry matching control method according to claim 1, characterized in that: Step S2 includes: S21. Performing data quality assessment on each of the real-time operation data based on a preset quality assessment rule to obtain a quality score corresponding to each of the real-time operation data; S22. Determine a weighted weight for each of the real-time operation data according to all the quality scores, and then perform weighted processing on the corresponding real-time operation data according to the weighted weight; S23. Analyze all weighted real-time operation data to obtain the current construction status.

7. The double-wheel milling slurry matching control method according to claim 1, characterized in that: Step S4 includes: S41. Querying a pre-built mapping relationship table of slurry performance differences, construction conditions, and adjustment amount combinations based on the current slurry performance, the target slurry performance, and the current construction conditions to obtain a circulation system adjustment amount and a slag removal equipment adjustment amount; S42. Adjust the operating parameters of the slurry circulation system according to the adjustment amount of the circulation system, and adjust the operating parameters of the slag removal equipment according to the adjustment amount of the slag removal equipment.

8. The double-wheel milling slurry matching control method according to claim 1, characterized in that: The real-time operating data of the double-wheel slot milling machine include milling torque, feed speed and milling cutter speed; the real-time operating data of the slurry circulation system include the total slurry flow rate, the supply flow rate of each component, the return slurry density and the return slurry sand content; the real-time operating data of the slag removal equipment include the cyclone inlet pressure and slag removal efficiency.

9. The double-wheel milling slurry matching control method according to claim 1, characterized in that: The preprocessing includes data synchronization and data cleaning.

10. A double-wheel milling slurry matching control system, characterized in that: The double-wheel milling slurry matching control system includes: A data processing module is used to obtain real-time operating data of the double-wheel slot milling machine, the slurry circulation system and the slag removal equipment respectively, and pre-process all the real-time operating data; A construction condition analysis module is used to analyze and obtain the current construction condition based on all the real-time operation data; a slurry performance analysis module, configured to obtain current slurry performance based on the current construction working conditions and real-time operating data of the slurry circulation system, and determine target slurry performance based on the current construction working conditions; The working parameter adjustment module is used to obtain the circulation system adjustment amount and the slag removal equipment adjustment amount according to the current performance of the slurry and the target slurry performance, and then adjust the working parameters of the slurry circulation system according to the circulation system adjustment amount and adjust the working parameters of the slag removal equipment according to the slag removal equipment adjustment amount.

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