Method and system for controlling low-disturbance equipment for pile construction in metro section

Abstract

The invention discloses a method and a system for controlling low-disturbance equipment for pile construction in a metro section, and relates to the technical field of metro construction. The method comprises the steps of collecting data sets of a subway section, then building a cloud server for storage and analysis, and refining a construction plan and space of the subway section, so that low-disturbance equipment used in each construction area is determined, low-disturbance equipment with problems is quickly found, the low-disturbance equipment with the problems is adjusted in combination with a noise reduction model, and the construction efficiency of the subway section is improved. And the noise generated by the low-disturbance equipment in the construction process is controlled. According to the method, the requirements of construction efficiency and environmental protection can be considered, construction areas can be reasonably arranged, corresponding low-disturbance equipment can be matched, and the construction efficiency and the resource utilization rate are improved; when the noise is monitored to exceed the standard, the problem equipment can be quickly positioned, and the equipment parameters are automatically adjusted through the noise reduction model and the remote control software, so that the complexity and the time cost of manual intervention can be effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of subway construction, and in particular to a method and system for controlling low-disturbance equipment for pile construction within a subway section. Background Art

[0002] With the acceleration of urbanization, subway construction has become an important means to alleviate urban traffic pressure. However, pile foundation construction within subway sections often faces complex geological conditions and strict decibel requirements. Traditional construction methods combined with the construction equipment used may cause significant disturbances to the surrounding environment during subway construction, thereby affecting the sleep quality of the surrounding people and causing unnecessary problems. In order to reduce noise, low-disturbance equipment has been used for construction. However, manually operating low-disturbance equipment for construction is still prone to generating loud noise.

[0003] Publication number CN111734293A is titled "A Subway Station Equipment Control Method and Monitoring System." The method comprises the following steps: obtaining operational information of a designated operational system at a subway station and displaying the operational information of the designated operational system using a display device; obtaining operational instructions for controlling the designated operational system; and controlling, based on the operational instructions and the operational information of the designated operational system, a plurality of first designated operational systems, a second designated operational system, a third designated operational system, and a fourth designated operational system in the designated operational system. In this solution, operational information of the designated operational system at a subway station is collected and displayed, and the designated operational system is controlled based on the operational instructions and the operational information of the designated operational system, thereby enabling start and stop operations on each operational system. Station staff do not need to manually start and stop each operational system, thereby improving the automation level of subway stations, reducing the workload of station staff, and improving work efficiency.

[0004] The above technology focuses on achieving centralized monitoring and control of multiple operating systems in subway stations through automated means, reducing manual intervention and improving overall operational efficiency. However, it is mainly aimed at controlling the internal operating systems of subway stations, and pays little attention to external environmental factors (geological conditions or noise control, etc.). Therefore, the above technology cannot be applied to the control of construction equipment in subway sections, because pile foundation construction in subway sections needs to avoid affecting the surrounding environment and residents' lives, and geological conditions must be considered to select appropriate construction equipment. Moreover, manual control of low-disturbance equipment cannot effectively control the noise generated by low-disturbance equipment. Therefore, a method and system for controlling low-disturbance equipment for pile construction in subway sections is needed. Summary of the Invention

[0005] The object of the present invention is to provide a method and system for controlling low-disturbance equipment for pile construction in a subway section, so as to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] In the first aspect, a low-disturbance equipment control method for pile construction in a subway section is designed, which includes:

[0008] Data collection: Acquire geological exploration datasets, ground pile technology datasets, subway section environment datasets, monitoring equipment datasets, construction plan datasets, low-disturbance equipment datasets, and problem datasets;

[0009] Server construction: Build a cloud server and set up a database to store the acquired data sets. The cloud server is connected to a control terminal, which is equipped with a noise reduction model.

[0010] Information Acquisition: Based on the geological exploration dataset and the subway section environmental dataset, the subway area is divided according to the regional division method to obtain the subway area information set. Based on the subway area information set, decibel monitors are installed in each divided subway area. Each decibel monitor monitors each area to obtain the decibel monitoring dataset.

[0011] Decibel customization: Set the maximum decibel value for each area based on the subway section environment dataset and establish a decibel standard set;

[0012] Plan allocation: Based on the construction plan dataset and the subway section environment dataset, the construction areas required for the day are identified to obtain the construction area set. The corresponding ground piles are matched based on the construction area set and the ground pile process dataset. The corresponding low-disturbance equipment is then matched to each construction area based on the corresponding ground piles and construction area set.

[0013] Equipment configuration: An independent controller is set up on each low-disturbance device, and a camera and monitoring device are installed at the corresponding position to obtain an image information set and an operation data set, the operation data set including decibel monitoring data;

[0014] Equipment control: Based on the decibel monitoring data set and the decibel standard set, it is determined whether the decibel level in each area exceeds the standard. If it exceeds the standard, the exceeding standard information set is obtained, and based on the exceeding standard information set, the parameters of the corresponding low-disturbance equipment are adjusted according to the equipment control method to reduce equipment noise.

[0015] Preferably, the device control method includes:

[0016] S1: Based on the exceeded standard information set, the corresponding construction area, the corresponding low-disturbance equipment, and the corresponding decibel standard are obtained, and then a connection is established with the corresponding low-disturbance equipment through a quick connection method, and the corresponding decibel standard is set as the decibel threshold of the corresponding construction area;

[0017] S2: Based on S1, the corresponding operating data set and corresponding image information set can be obtained. Then, based on the operating data set and the decibel threshold, low-disturbance devices in the corresponding area that exceed the threshold or are close to the threshold are extracted to obtain a suspected device set. The corresponding image information set is further used to determine whether the low-disturbance devices in the suspected device set are located in a specific construction scene. If so, the low-disturbance devices in the specific construction scene are excluded from the suspected device set, and the remaining low-disturbance devices are identified as problem devices. All problem devices are grouped together to obtain a problem device set;

[0018] S3: After simulating the noise reduction model based on the corresponding operating data set, the adjustment parameters of each low-disturbance device in the problem device set are obtained. Based on the adjustment parameters, control instructions are generated through the remote control software and sent to the corresponding low-disturbance devices.

[0019] S4: After the corresponding low-disturbance equipment is adjusted based on the control instructions, normal control operation can be ended.

[0020] Furthermore, the quick connect method includes:

[0021] A1: Based on the low-disturbance equipment dataset and the exceeded-standard information set, obtain the low-disturbance equipment currently in operation in the corresponding area, and further obtain the construction equipment information set, which includes the equipment number and equipment IP address.

[0022] A2: Send control requests via a temporary private LAN based on the IP and number of each low-disturbance device in the construction equipment information set;

[0023] A3: After the cloud server receives the control request, it allows the controller of the low-disturbance equipment in the construction equipment information center to establish a temporary control relationship with the control terminal.

[0024] Furthermore, the method for creating a denoising model includes:

[0025] B1: Based on the operation dataset, decibel monitoring dataset, low-disturbance equipment dataset, and problem dataset, we integrate and preprocess them to obtain standard data, and divide the standard data into training set, validation set, and test set;

[0026] B2: Extract noise features based on the training set, and select the random forest model to train the training set to obtain the initial model;

[0027] B3: Optimize the initial model training to obtain a denoising model, and update the denoising model regularly.

[0028] Furthermore, methods for training, optimizing, and updating denoising models include:

[0029] C1: Model evaluation: Use the validation set to evaluate the trained initial model and obtain the evaluation results. The evaluation results are used to analyze the performance of the model and identify existing problems and areas for improvement.

[0030] C2: Model optimization, which optimizes the model based on the evaluation results and performs parameter tuning through grid search method;

[0031] C3: Model validation: Use the test set to validate the optimized model to ensure the model's generalization ability on unknown data;

[0032] C4: Model update: regularly update the evaluation model and use incremental learning methods to update the model in real time.

[0033] Furthermore, the zoning method includes:

[0034] D1: Based on the subway area environmental dataset, spatial analysis using GIS (Geographic Information System) software identified areas with concentrated residents near the subway area as residential areas, areas with concentrated factories near the subway area as industrial areas, and the remaining areas as other areas. Finally, residential areas, industrial areas, and other areas were ranked in ascending order of noise sensitivity, resulting in the following ranking: industrial areas, other areas, and residential areas.

[0035] D2: Based on the construction plan dataset, the daily construction plan is refined and clarified to obtain the daily construction plan information set. The total construction area is identified using GIS software based on the construction plan dataset. The total construction area is then gridded based on the daily construction plan information set to obtain a grid area set, and each grid is assigned a unique identifier.

[0036] D3: Based on the industrial area, other areas, residential areas, total construction area and grid area sets, GIS software is used to integrate and obtain the subway area information set.

[0037] Furthermore, the method for obtaining the decibel standard set includes:

[0038] E1: Based on the subway area information set and in accordance with the urban area noise standards, the maximum day and night noise limits for industrial areas, other areas, and residential areas are defined, and noise proximity zones are set. The noise proximity zones are 90% or more of the maximum day and night noise levels.

[0039] E2: Based on D1, the maximum noise limit is determined as the decibel standard. Finally, the maximum day and night noise limits and noise proximity areas of industrial areas, other areas and residential areas are summarized to obtain the decibel standard set.

[0040] Furthermore, the controller and the control terminal establish a temporary control relationship by transmitting information via a temporarily created private local area network. The method for creating the private local area network includes:

[0041] T1: The cloud server identifies the low-disturbance device number based on the control request, and then automatically allocates a temporary communication channel to match the low-disturbance device IP with the control terminal IP;

[0042] T2: The cloud server configures network services and security measures for the temporary communication channel;

[0043] T3: The corresponding low-disturbance device receives the control instruction and sends an end request after the adjustment is completed. After receiving it, the cloud server automatically cancels the temporary communication channel and the corresponding network services and security measures.

[0044] Furthermore, the monitoring equipment includes a portable decibel detector, a vibration sensor, a temperature sensor, a pressure sensor, a flow sensor, a voltage sensor, and a rotation speed sensor.

[0045] Secondly, a low-disturbance equipment control system for pile construction in subway sections is set up. By collecting the geological exploration data set, ground pile process data set, subway section environmental data set, monitoring equipment data set, construction plan data set, low-disturbance equipment data set and problem data set of the subway section, and then setting up a cloud server for storage and analysis, and refining the construction plan and space of the subway section, the low-disturbance equipment used in each construction area is clarified, the low-disturbance equipment with problems is quickly found, and the low-disturbance equipment with problems is adjusted in combination with the noise reduction model to control the noise generated by the low-disturbance equipment during the construction process.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] A method and system for controlling low-disturbance equipment for pile construction within subway sections utilizes a regional division method to refine subway sections. Decibel monitors are installed in each section during construction, enabling real-time monitoring and precise management of construction noise. Decibel standards for each section are customized based on a subway area information set, making noise control more consistent with actual conditions. This ensures both construction efficiency and environmental protection needs. Combining construction plan datasets with subway area information sets, this method can rationally arrange construction areas and match corresponding low-disturbance equipment, improving construction efficiency and resource utilization. When noise levels exceeding the standard are detected, the method can quickly locate the problematic equipment and automatically adjust equipment parameters through noise reduction models and remote control software, effectively reducing the complexity and time cost of manual intervention.

[0048] At the same time, through the quick connection method, it is possible to quickly locate and connect to low-disturbance equipment in operation, which can significantly shorten the transmission time of control instructions, improve the response speed of equipment control, use temporary private LAN for communication to reduce external interference, enhance the stability and security of communication, and clarify the noise limits of each area based on urban area noise standards to ensure that construction activities comply with relevant regulations. The setting of noise proximity zones can provide more detailed guidance for noise control during construction and enhance the practicality of the decibel standard set. After the control relationship is established, network services and security measures are automatically configured and automatically canceled after the control is completed, which can effectively save network resources and management costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the principle of the present invention.

[0050] Figure 2 Schematic diagram of the device control method principle of the present invention.

[0051] Figure 3 Schematic diagram of the principle of the area division method of the present invention.

[0052] Figure 4 This is a structural diagram of the decibel monitor of the present invention.

[0053] The symbols in the figure indicate: decibel monitor - 1, lifting support rod - 2, mobile base - 3. DETAILED DESCRIPTION

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0055] The present invention provides a method for controlling low-disturbance equipment for pile construction in a subway section, which can achieve precise control of low-disturbance equipment and effective management of noise during subway construction. Through a series of steps such as data collection, server construction, information acquisition, decibel customization, plan allocation, equipment configuration, and equipment control, the noise level in the construction area can be monitored in real time, and the parameters of problematic low-disturbance equipment can be automatically adjusted to ensure that the impact of construction activities on the surrounding environment is minimized. For example, in traditional subway construction, noise pollution often becomes a hot spot for complaints from surrounding residents. After the introduction of the present invention, effective control of noise is achieved through real-time monitoring and intelligent adjustment of the parameters of low-disturbance equipment, which significantly improves residents' satisfaction with the construction. When the noise in the construction area exceeds the standard, the system can respond quickly and automatically adjust the equipment parameters, avoiding the lag and inaccuracy of manual intervention and improving the intelligence level of construction management.

[0056] like Figure 1 - Figure 4 As shown, the present invention provides a technical solution: a method for controlling low-disturbance equipment for pile construction in a subway section, the method comprising:

[0057] Data collection: Acquire geological exploration datasets, ground pile technology datasets, subway section environment datasets, monitoring equipment datasets, construction plan datasets, low-disturbance equipment datasets, and problem datasets;

[0058] It should be noted that the geological exploration dataset includes: soil layer distribution, rock type, geological faults, records of groundwater depth, flow direction, flow rate and seasonal changes, soil compressibility, shear strength and bearing capacity; the ground pile process dataset includes: ground pile type and specifications, construction methods and technical parameters (including pile driving method, pile length, pile diameter and construction speed), ground pile construction quality monitoring records (including verticality, soil penetration depth, pile quality inspection report); the subway section environment dataset includes: building layout, road traffic conditions, residential area location, regulatory restrictions and environmental protection requirements; the monitoring equipment dataset includes: monitoring equipment type, equipment number, equipment configuration, monitoring data sampling frequency and accuracy, monitoring equipment calibration and maintenance records; the construction plan dataset includes: general design drawings, start and end time of each construction phase, as well as the time to achieve key milestones, and the deployment arrangements of manpower, equipment and materials; the low-disturbance equipment dataset includes: equipment type, equipment number, equipment IP and equipment performance parameters; the problem dataset includes: low-disturbance equipment Operation abnormality records, noise exceeding standard event records, noise reduction measures and effect evaluation, equipment performance degradation records and challenges and solutions in the construction process. Further low-disturbance equipment operation abnormality records include any abnormalities or failures that occur during the operation of low-disturbance equipment, including but not limited to equipment noise exceeding standard, excessive vibration, abnormal energy consumption, etc., and it is necessary to record the time, location, equipment number, specific phenomenon and preliminary treatment measures of the abnormality. Noise exceeding standard event records include detailed information of monitored noise exceeding standard events, including the time, location, decibel value, duration of exceeding standard and the low-disturbance equipment number involved. Noise reduction measures and effect evaluation include records of noise reduction measures that have been taken (such as adjusting equipment parameters, replacing parts, etc.), and noise reduction effect evaluation after the implementation of these measures. Equipment performance degradation records include records of the gradual performance degradation of low-disturbance equipment during long-term use, such as the gradual increase in noise, intensified vibration, etc., analysis of the causes of performance degradation (equipment wear, part aging, etc.) and maintenance or replacement measures taken.

[0059] Server construction: Build a cloud server and set up a database to store geological exploration datasets, subway section environment datasets, monitoring equipment datasets, construction plan datasets, low-disturbance equipment datasets, and problem datasets. The cloud server is connected to a control terminal, and a noise reduction model is set up in the control terminal.

[0060] It should be noted that you can select a general-purpose cloud server on Alibaba Cloud's cloud service provider platform, choose the Windows system for database and software installation and management, assign a public IP address to the cloud server, and control port access through security groups or firewall rules to ensure server security and data privacy. Select the MySQL database, then create a new database instance in the database service and set parameters such as the instance name, storage type, and network configuration. Then configure parameters such as the database character set, collation, and number of connections to ensure database performance and security. Finally, create a database and user in the database instance to store the geological exploration dataset, subway section environment dataset, low-disturbance equipment dataset, and problem dataset, and assign corresponding permissions to the user.

[0061] Information acquisition: Based on the geological exploration dataset and the subway section environment dataset, the subway area is divided according to the regional division method to obtain the subway area information set. Based on the subway area information set, decibel monitors are installed in each divided subway area. Each decibel monitor monitors each area to obtain the decibel monitoring dataset.

[0062] It should be noted that the most suitable location means ensuring that the decibel monitor can cover the noise conditions within a certain range of the construction area and its surroundings, while avoiding interference from other non-construction noise sources.

[0063] Decibel customization: Set the maximum decibel value for each area based on the subway section environment dataset and establish a decibel standard set;

[0064] Plan allocation: Based on the construction plan dataset and the subway section environment dataset, the construction areas required for the day are identified to obtain the construction area set. The corresponding ground piles are matched based on the construction area set and the ground pile process dataset. The corresponding low-disturbance equipment is then matched to each construction area based on the corresponding ground piles and construction area set.

[0065] It should be noted that the construction plan for the day is extracted from the construction plan dataset, including the construction area, construction content, and construction time. According to the construction plan, the specific area that needs to be constructed on that day is clarified to form a construction area set. The ground pile process dataset is consulted to understand the applicable scope, technical requirements, and construction conditions of different pile types (such as prefabricated piles, cast-in-place piles, etc.). According to the geological conditions, construction requirements, and information in the ground pile process dataset of the construction area, the most suitable ground pile type is matched for each construction area. Then, the low-disturbance equipment dataset is consulted to understand the performance characteristics, applicable scope, and operating requirements of the low-disturbance construction equipment. Based on the geological conditions, ground pile types, and construction requirements of the construction area, the corresponding low-disturbance equipment is matched for each construction area, and low-disturbance equipment with good performance is given priority.

[0066] Equipment configuration: Based on the low-disturbance equipment dataset, an independent controller is set up on each low-disturbance equipment, and shooting equipment and monitoring equipment are installed at the corresponding position of each low-disturbance equipment to obtain image information sets and operation datasets. The operation dataset includes decibel monitoring data;

[0067] It should be noted that, based on the low-disturbance equipment dataset, select independent controllers suitable for each device, install the selected controllers on the low-disturbance equipment, ensure that the connection between the controller and the equipment is stable and reliable, and then configure the controller parameters, including control algorithms, working modes, input and output interfaces, etc., to meet the operation requirements of the low-disturbance equipment. Select high-definition shooting equipment, select the best shooting position according to the operating characteristics and monitoring requirements of the low-disturbance equipment, ensure that the shooting equipment can clearly and comprehensively capture the current construction environment of the low-disturbance equipment, and then install and configure the parameters.

[0068] Equipment control: Based on the decibel monitoring data set and the decibel standard set, it is determined whether the decibel level in each area exceeds the standard. If it exceeds the standard, the exceeding standard information set is obtained. Based on the exceeding standard information set, the parameters of the corresponding low-disturbance equipment are adjusted according to the equipment control method to reduce equipment noise;

[0069] It should be noted that decibel monitoring data sets are collected in real time by installing decibel monitoring equipment in each construction area. The collected decibel data are compared with the decibel standards of the corresponding area with reference to the decibel standard set. If the decibel data of a certain area exceeds the corresponding standard value, the decibel level in that area is judged to be excessive.

[0070] like Figure 2 As shown, the device control method includes:

[0071] S1: Based on the exceeded standard information set, the corresponding construction area, the corresponding low-disturbance equipment, and the corresponding decibel standard are obtained, and then a connection is established with the corresponding low-disturbance equipment through a quick connection method, and the corresponding decibel standard is set as the decibel threshold of the corresponding construction area;

[0072] S2: Based on S1, the corresponding operation data set and the corresponding image information set can be obtained. Then, based on the corresponding operation data set and the decibel threshold, low-disturbance devices in the corresponding area that exceed the threshold or are close to the threshold are extracted to obtain a suspected device set. The corresponding image information set is further used to determine whether the low-disturbance devices in the suspected device set are in a specific construction scene. If so, the low-disturbance devices in the specific construction scene are excluded from the suspected device set, and the remaining low-disturbance devices are identified as problem devices. All problem devices are grouped together to obtain a problem device set;

[0073] S3: After simulating the noise reduction model based on the corresponding operating data set, the adjustment parameters of each low-disturbance device in the problem device set are obtained, and control instructions are generated through the remote control software based on the adjustment parameters, and the control instructions are sent to the corresponding low-disturbance devices. S4: After the corresponding low-disturbance devices are adjusted based on the control instructions, normal operation of the control can be ended.

[0074] It should be noted that the corresponding construction area, the corresponding low-disturbance equipment and the corresponding decibel standard are extracted from the excessive information set, and a real-time communication connection is established with the corresponding low-disturbance equipment using the quick connection method. The corresponding decibel standard is set as the decibel threshold of the corresponding construction area, and the corresponding noise proximity zone is obtained, and the noise proximity zone is identified as the proximity threshold zone. Then, the operation data set and image information set of the low-disturbance equipment in the corresponding construction area are obtained. Based on the decibel monitoring data in the operation data set, it is compared with the decibel threshold, and the low-disturbance equipment that exceeds the threshold or is close to the threshold is extracted to form a suspected equipment set. Then, the image information set is manually checked to analyze whether the low-disturbance equipment in the suspected equipment set is in a specific construction scene (pile driving, excavation or crushing, etc.). If the low-disturbance equipment is in a specific construction scene, then The equipment is excluded from the set of suspected equipment, and the remaining low-disturbance equipment is identified as problem equipment. All problem equipment are grouped together to obtain a problem equipment set. The noise reduction model is used to predict and optimize the adjustment parameters that can reduce the noise level based on the current operating data and historical data of the equipment. According to the results of the noise reduction model simulation, specific adjustment parameters are generated for each low-disturbance equipment in the problem equipment set. These adjustment parameters are converted into control instructions and sent to the corresponding low-disturbance equipment through the Sunflower remote control software. The low-disturbance equipment that receives the control instruction automatically adjusts according to the adjustment parameters in the instruction. The adjustment includes changing the output power of the low-disturbance equipment, adjusting the vibration frequency, optimizing the working mode, etc., to reduce noise generation. After the adjustment is completed, the equipment returns to normal operation and continues to participate in construction activities.

[0075] Quick connect methods include:

[0076] A1: Based on the low-disturbance equipment dataset and the exceeded-standard information set, obtain the low-disturbance equipment currently in operation in the corresponding area, and further obtain the construction equipment information set, which includes the equipment number and equipment IP address.

[0077] A2: Send control requests via a temporary private LAN based on the IP and number of each low-disturbance device in the construction equipment information set;

[0078] A3: After the cloud server receives the control request, it allows the controller of the low-disturbance equipment in the construction equipment information center to establish a temporary control relationship with the control terminal.

[0079] It should be noted that the control terminal extracts the basic information of all low-disturbance equipment in operation in the current area based on the construction equipment information set and the exceeding standard information set, and then sends control requests to these devices through the temporary private LAN based on the IP address and number of each low-disturbance device. When the control request is sent to the cloud server, the cloud server will serve as a transfer station to receive and verify the legitimacy of the control request. After the cloud server verifies that the control request is correct, it forwards the instruction to the controller of the corresponding low-disturbance device.

[0080] Methods for creating denoising models include:

[0081] B1: Based on the operation dataset, decibel monitoring dataset, low-disturbance equipment dataset, and problem dataset, we integrate and preprocess them to obtain standard data, and divide the standard data into training set, validation set, and test set;

[0082] B2: Extract noise features based on the training set, and select the random forest model to train the training set to obtain the initial model;

[0083] B3: Optimize the initial model training to obtain a denoising model, and update the denoising model regularly.

[0084] It should be noted that the operation data set, decibel monitoring data set, low-disturbance equipment data set and problem data set are integrated so that the data between each data set can correspond and match each other. Then, the data cleaning tool is used to clean the data to remove duplicate, erroneous or invalid data records. The Z-score standardization method is used to normalize or scale the data. Then, the preprocessed standard data is divided into training set, validation set and test set using a random sampling method. The training set data is further feature engineered to extract key features related to noise. Random forest is selected as the basis of the denoising model, and the training set data is trained using the random forest training algorithm to obtain the denoising model.

[0085] Methods for training, optimizing, and updating denoising models include:

[0086] C1: Model evaluation: Use the validation set to evaluate the trained initial model and obtain the evaluation results. The evaluation results are used to analyze the performance of the model and identify existing problems and areas for improvement.

[0087] C2: Model optimization, which optimizes the model based on the evaluation results and performs parameter tuning through grid search method;

[0088] C3: Model validation: Use the test set to validate the optimized model to ensure the model's generalization ability on unknown data;

[0089] C4: Model update: regularly update the evaluation model and use incremental learning methods to update the model in real time.

[0090] It should be noted that the mean square error is used to measure the difference between the model prediction value and the actual value. The mean square error formula is:

[0091]

[0092] Where n is the number of samples in the validation set, yi is the true value of the i-th sample, It is the predicted value of the model for the i-th sample. The trained initial model is evaluated using the validation set data, and the selected evaluation index value is calculated to obtain the evaluation result. The performance of the model is analyzed according to the evaluation result, including the accuracy, stability, and robustness of the model. The model is retrained using the tuned parameters or the improved algorithm to obtain the optimized model. Based on the evaluation result, the grid search method is used. For example, there are two parameters that need to be tuned, namely parameter A and parameter B, which have m and n candidate values respectively. The grid search will traverse m×n parameter combinations, perform cross-validation on each combination (such as K-fold cross-validation), and calculate the average cross-validation error. Finally, the average cross-validation error is selected. The parameter combination with the smallest verification error is taken as the optimal parameter, and the tuned parameters are used to obtain the optimized model. Among them, cross-validation is in K-fold cross-validation. The data set is divided into K mutually exclusive subsets of similar size. Each time, the union of K-1 subsets is used as the training set, and the remaining subset is used as the verification set. K training and verification are performed, and the mean of the K verification results is finally returned. The optimized model is then verified using the test set, and the evaluation index value is calculated to evaluate the generalization ability of the model on unknown data. If the model performance still does not meet the requirements, it is necessary to return to step C1 for further optimization and regularly update the evaluation model to adapt to new data and environmental changes.

[0093] like Figure 3 As shown, the regional division method includes:

[0094] D1: Based on the subway area environmental dataset, spatial analysis using GIS software identified areas with concentrated residents near the subway area as residential areas, areas with concentrated factories near the subway area as industrial areas, and the remaining areas as other areas. Finally, residential areas, industrial areas, and other areas were ranked in ascending order of noise sensitivity, resulting in the following ranking: industrial areas, other areas, and residential areas.

[0095] D2: Based on the construction plan dataset, the daily construction plan is refined and clarified to obtain the daily construction plan information set. The total construction area is identified using GIS software based on the construction plan dataset. The total construction area is then gridded based on the daily construction plan information set to obtain a grid area set, and each grid is assigned a unique identifier.

[0096] D3: Based on the industrial area, other areas, residential areas, total construction area and grid area sets, GIS software is used to integrate and obtain the subway area information set.

[0097] It should be noted that GIS software is used to load the subway section environmental dataset, and spatial analysis tools are applied to identify residential and factory concentrated areas near the subway section. Based on the analysis results, the areas are manually or automatically divided into residential areas, industrial areas, and other areas. They are sorted according to noise sensitivity, with residential areas ranked last (i.e., the highest noise sensitivity), industrial areas ranked first, and other areas in the middle. Then, GIS software is used to load the construction plan dataset and spatial analysis tools are used to identify the total coverage area of all construction activities. Based on the daily construction plan information set, the total construction area is gridded, and each grid is assigned a unique identifier. The residential area, industrial area, and other area data obtained in step D1 are integrated with the total construction area and grid area set obtained in step D2. The spatial analysis function of GIS software is used to overlay and analyze all the above areas and grids to generate a subway area information set.

[0098] Methods for obtaining the decibel standard set include:

[0099] E1: Based on the subway area information set and in accordance with the urban area noise standards, the maximum day and night noise limits (a specific value) for industrial areas, other areas, and residential areas are defined, and the area between 90% and 100% (inclusive) of the maximum day and night noise values is identified as a noise proximity zone;

[0100] E2: Based on D1, the maximum noise limit is determined as the decibel standard. Finally, the maximum day and night noise limits and noise proximity areas of industrial areas, other areas and residential areas are summarized to obtain the decibel standard set.

[0101] It should be noted that it is necessary to obtain and study the regional noise standards of the city in which you are located, understand the maximum noise limits of industrial areas, other areas (commercial areas, mixed areas, etc.) and residential areas in different time periods (daytime and nighttime), and correspond each area (industrial areas, other areas, residential areas) to the urban regional noise standards based on the subway area information set, clarify their respective maximum daytime and nighttime noise limits, and set a "noise proximity zone" based on the maximum noise limit of each area, which is the interval of 90% to 100% of the maximum daytime and nighttime noise values. Based on the maximum daytime and nighttime noise limits obtained in step D1, these limits are directly identified as decibel standards, and the maximum daytime and nighttime noise limits of industrial areas, other areas and residential areas and the corresponding noise proximity zones are sorted and summarized to form a complete decibel standard set.

[0102] The controller and the control terminal establish a temporary control relationship by transmitting information over a temporarily created private local area network. The method for creating the private local area network includes:

[0103] T1: The cloud server identifies the low-disturbance device number based on the control request, and then automatically allocates a temporary communication channel to match the low-disturbance device IP with the control terminal IP;

[0104] T2: The cloud server configures network services and security measures for the temporary communication channel;

[0105] T3: The corresponding low-disturbance device receives the control instruction and sends an end request after the adjustment is completed. After receiving it, the cloud server automatically cancels the temporary communication channel and the corresponding network services and security measures.

[0106] It should be noted that the control terminal sends a control request to the cloud server, which contains the identification information of the target low-disturbance device. After receiving the control request, the cloud server parses the device number in the request and identifies the corresponding low-disturbance device through a database or registration information. The cloud server automatically allocates a temporary, dedicated communication channel between the low-disturbance device and the control terminal. The cloud server then matches the IP address of the low-disturbance device with the IP address of the control terminal to ensure that they can communicate through this temporary communication channel. The cloud server configures the necessary network services for the temporary communication channel, such as DNS resolution, network protocol support, or file sharing. It then configures a series of security measures for the temporary communication channel, such as firewalls, encrypted communication, or access control lists. The control terminal sends control instructions to the low-disturbance device through the temporary communication channel. After receiving the instructions, the low-disturbance device performs the corresponding adjustment operation. When the low-disturbance device completes the adjustment and confirms that it is correct, it sends a termination request to the cloud server. After receiving the termination request, the cloud server confirms that all operations are completed and correct. The cloud server automatically cancels the temporary communication channel and the network services and security measures configured for the channel, releasing related resources.

[0107] The monitoring equipment includes a decibel sensor, a vibration sensor, a temperature sensor, a pressure sensor, a flow sensor, a voltage sensor and a rotation speed sensor, and the decibel detector is a portable decibel detector.

[0108] Using the above-mentioned methods, a control system for low-disturbance equipment used in pile construction within subway sections was constructed. By collecting geological exploration datasets, pile process datasets, subway section environmental datasets, monitoring equipment datasets, construction plan datasets, low-disturbance equipment datasets, and problem datasets for the subway section, a cloud server was set up for storage and analysis. The construction plan and space for the subway section were refined, thereby clarifying the low-disturbance equipment used in each construction area. The low-disturbance equipment with problems can be quickly found and adjusted in combination with a noise reduction model, effectively controlling the noise generated by the low-disturbance equipment during construction and reducing the impact on the surrounding environment.

Claims

1. A low-disturbance equipment control method for pile construction in a subway section, characterized by: The method comprises: Data collection: Acquire geological exploration datasets, ground pile technology datasets, subway section environment datasets, monitoring equipment datasets, construction plan datasets, low-disturbance equipment datasets, and problem datasets; Server construction: Build a cloud server and set up a database to store the acquired data sets. The cloud server is connected to a control terminal, which is equipped with a noise reduction model. Information Acquisition: Based on the geological exploration dataset and the subway section environmental dataset, the subway area is divided according to the regional division method to obtain the subway area information set. Based on the subway area information set, decibel monitors are installed in each divided subway area. Each decibel monitor monitors each area to obtain the decibel monitoring dataset. Decibel customization: Set the maximum decibel value for each area based on the subway section environment dataset and establish a decibel standard set; Plan allocation: Based on the construction plan dataset and the subway section environment dataset, the construction areas required for the day are identified to obtain the construction area set. The corresponding ground piles are matched based on the construction area set and the ground pile process dataset. The corresponding low-disturbance equipment is then matched to each construction area based on the corresponding ground piles and construction area set. Equipment configuration: An independent controller is set up on each low-disturbance device, and a camera and monitoring device are installed at the corresponding position to obtain an image information set and an operation data set, the operation data set including decibel monitoring data; Equipment control: Based on the decibel monitoring data set and the decibel standard set, it is determined whether the decibel level in each area exceeds the standard. If it exceeds the standard, the exceeding standard information set is obtained, and based on the exceeding standard information set, the parameters of the corresponding low-disturbance equipment are adjusted according to the equipment control method to reduce equipment noise.

2. The method for controlling low-disturbance equipment for pile construction in a subway section according to claim 1, characterized in that: The device control method includes: S1: Based on the exceeded standard information set, the corresponding construction area, the corresponding low-disturbance equipment, and the corresponding decibel standard are obtained, and then a connection is established with the corresponding low-disturbance equipment through a quick connection method, and the corresponding decibel standard is set as the decibel threshold of the corresponding construction area; S2: Based on S1, the corresponding operating data set and corresponding image information set can be obtained. Then, based on the operating data set and the decibel threshold, low-disturbance devices in the corresponding area that exceed the threshold or are close to the threshold are extracted to obtain a suspected device set. The corresponding image information set is further used to determine whether the low-disturbance devices in the suspected device set are located in a specific construction scene. If so, the low-disturbance devices in the specific construction scene are excluded from the suspected device set, and the remaining low-disturbance devices are identified as problem devices. All problem devices are grouped together to obtain a problem device set; S3: After simulating the noise reduction model based on the corresponding operating data set, the adjustment parameters of each low-disturbance device in the problem device set are obtained. Based on the adjustment parameters, control instructions are generated through the remote control software and sent to the corresponding low-disturbance devices. S4: After the corresponding low-disturbance equipment is adjusted based on the control instructions, normal control operation can be ended.

3. The method for controlling low-disturbance equipment for pile construction in a subway section according to claim 2, characterized in that: The quick connection method includes: A1: Based on the low-disturbance equipment dataset and the exceeded-standard information set, obtain the low-disturbance equipment currently in operation in the corresponding area, and further obtain the construction equipment information set, which includes the equipment number and equipment IP address; A2: Send control requests via a temporary private LAN based on the IP and number of each low-disturbance device in the construction equipment information set; A3: After the cloud server receives the control request, it allows the controller of the low-disturbance equipment in the construction equipment information center to establish a temporary control relationship with the control terminal.

4. The method for controlling low-disturbance equipment for pile construction in a subway section according to claim 2, characterized in that: The method for creating the noise reduction model includes: B1: Based on the operation dataset, decibel monitoring dataset, low-disturbance equipment dataset, and problem dataset, we integrate and preprocess them to obtain standard data, and divide the standard data into training set, validation set, and test set; B2: Extract noise features based on the training set, and select the random forest model to train the training set to obtain the initial model; B3: Optimize the initial model training to obtain a denoising model, and update the denoising model regularly.

5. The method for controlling low-disturbance equipment for pile construction in a subway section according to claim 4, characterized in that: The method for training, optimizing and updating the noise reduction model includes: C1: Model evaluation: Use the validation set to evaluate the trained initial model and obtain the evaluation results. The evaluation results are used to analyze the performance of the model and identify existing problems and areas for improvement. C2: Model optimization, which optimizes the model based on the evaluation results and performs parameter tuning through grid search method; C3: Model validation: Use the test set to validate the optimized model to ensure the model's generalization ability on unknown data; C4: Model update: regularly update the evaluation model and use incremental learning methods to update the model in real time.

6. The method for controlling low-disturbance equipment for pile construction in a subway section according to claim 1, characterized in that: The regional division method includes: D1: Based on the subway area environmental dataset, spatial analysis using GIS software identified areas with concentrated residents near the subway area as residential areas, areas with concentrated factories near the subway area as industrial areas, and the remaining areas as other areas. Finally, residential areas, industrial areas, and other areas were ranked in ascending order of noise sensitivity, resulting in the following ranking: industrial areas, other areas, and residential areas. D2: Based on the construction plan dataset, the daily construction plan is refined and clarified to obtain the daily construction plan information set. The total construction area is identified using GIS software based on the construction plan dataset. The total construction area is then gridded based on the daily construction plan information set to obtain a grid area set, and each grid is assigned a unique identifier. D3: Based on the industrial area, other areas, residential areas, total construction area and grid area sets, GIS software is used to integrate and obtain the subway area information set.

7. The method for controlling low-disturbance equipment for pile construction in a subway section according to claim 1, characterized in that: The method for obtaining the decibel standard set includes: E1: Based on the subway area information set and in accordance with the urban area noise standards, the maximum daytime and nighttime noise limits for industrial areas, other areas, and residential areas are defined, and noise proximity zones are set. The noise proximity zones range from 90% to 100% of the maximum daytime and nighttime noise limits. E2: Based on D1, the maximum noise limit is determined as the decibel standard. Finally, the maximum day and night noise limits and noise proximity areas of industrial areas, other areas and residential areas are summarized to obtain the decibel standard set.

8. The method for controlling low-disturbance equipment for pile construction in a subway section according to claim 3, characterized in that: The controller and the control terminal establish a temporary control relationship by transmitting information via a temporarily created private local area network. The method for creating the private local area network includes: T1: The cloud server identifies the low-disturbance device number based on the control request, and then automatically allocates a temporary communication channel to match the low-disturbance device IP with the control terminal IP; T2: The cloud server configures network services and security measures for the temporary communication channel; T3: The corresponding low-disturbance device receives the control instruction and sends an end request after the adjustment is completed. After receiving it, the cloud server automatically cancels the temporary communication channel and the corresponding network services and security measures.

9. The method for controlling low-disturbance equipment for pile construction in a subway section according to claim 2, characterized in that: The monitoring equipment includes a portable decibel detector, a vibration sensor, a temperature sensor, a pressure sensor, a flow sensor, a voltage sensor and a rotation speed sensor.

10. A low-disturbance equipment control system for pile construction in subway sections, characterized by: A method for controlling low-disturbance equipment for pile construction in a subway section as described in any one of claims 1 to 9 is used. The method collects geological exploration data sets, ground pile process data sets, subway section environmental data sets, monitoring equipment data sets, construction plan data sets, low-disturbance equipment data sets and problem data sets of the subway section, then builds a cloud server for storage and analysis, and refines the construction plan and space of the subway section, thereby clarifying the low-disturbance equipment used in each construction area, quickly finding the low-disturbance equipment with problems, and adjusting the low-disturbance equipment with problems in combination with a noise reduction model to control the noise generated by the low-disturbance equipment during the construction process.

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