Intelligent control method and system for pile machine monitoring and grout making and feeding linkage

Abstract

The invention relates to the technical field of Internet of Things control, in particular to an intelligent control method and system for pile machine monitoring and grout making and feeding linkage, and the method comprises the steps that grout making design parameters are configured in advance, and initial grout making is executed according to the grout making design parameters; the construction pile machine is positioned according to the pile position number, initial-stage slurry feeding is conducted on the positioned construction pile machine, a monitoring host is arranged to conduct real-time construction monitoring on the construction pile machine, and slurry feeding state information is collected; and an Internet of Things control platform is established, unit pile foundation construction is divided into a plurality of grout making and feeding stages according to the designed ash amount, each grout making and feeding stage is used as a monitoring unit, stage grout making of the next grout making and feeding stage is executed according to the grout feeding state information, and the grout feeding speed is synchronously controlled. By means of the system, the problem that in the existing pile foundation construction process, the slurry making and feeding quality is difficult to control accurately can be effectively solved, and automatic data collection, intelligent analysis and dynamic adjustment in the whole slurry making and feeding process are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of Internet of Things control, and particularly relates to an intelligent control method and system for pile machine monitoring and grouting linkage. BACKGROUND

[0002] Pile foundation engineering is widely used in the fields of soft soil foundation reinforcement and deep foundation construction in civil engineering construction, and a pile machine is a special mechanical device for implementing pile foundation construction, which injects cement slurry into soil through drilling, mixing or high-pressure injection to improve the bearing capacity and stability of the foundation.

[0003] At present, there are problems such as high dependence on manual input and grouting control, simple and uncontrollable quality of the grouting system, disconnection of front-end and back-end system data, and inaccurate calculation of cement amount in the process of pile foundation construction, which leads to the occurrence of under-grouting or over-grouting in the whole process of grouting, and the accuracy of construction data and the quality of engineering are difficult to guarantee.

[0004] The information disclosed in this BACKGROUND section is only for the purpose of enhancing the understanding of the general background of the disclosure and should not be construed as acknowledging or implying that this information is prior art known to those of ordinary skill in the art. SUMMARY

[0005] The present application provides an intelligent control method and system for pile machine monitoring and grouting linkage, which can effectively solve the problems in the background technology.

[0006] In order to achieve the above purpose, the technical scheme adopted by the present application is: The intelligent control method for pile machine monitoring and grouting linkage comprises: pre-configuring grouting design parameters and performing initial grouting according to the grouting design parameters, wherein the grouting design parameters include pile position number, designed cement amount, water-cement ratio, mud density and designed mixing time; positioning the construction pile machine according to the pile position number, performing initial grouting on the positioned construction pile machine, setting up a monitoring host to perform real-time construction monitoring on the construction pile machine, and collecting grouting state information; establishing an Internet of Things control platform, dividing unit pile foundation construction into a plurality of grouting stages according to the designed cement amount, performing stage grouting of the next grouting stage according to the grouting state information for each grouting stage as a monitoring unit, and synchronously controlling the grouting speed.

[0007] Further, the establishment of the Internet of Things control platform comprises: the grouting equipment performs the initial grouting and stage grouting, each grouting equipment is monitored to obtain grouting state information and upload to the Internet of Things control platform; An Internet of Things communication module is configured for each of the monitoring host and the pulp preparation equipment, and a data bidirectional real-time communication is established between the Internet of Things control platform; The pulp preparation design parameters of each of the pulp preparation and delivery stages are collected and sent by the Internet of Things control platform, wherein the collection is used for data tracing, and the sending is used for the synchronous control of the construction pile machine; The Internet of Things control platform transmits the pulp preparation task and the pulp delivery control instruction to link various equipment to realize the on-demand preparation and synchronous pumping of the slurry.

[0008] Further, according to the design ash content, the unit pile construction is divided into a plurality of pulp preparation and delivery stages, and the stage pulp preparation of the next pulp preparation and delivery stage is performed according to the pulp delivery state information of each pulp preparation and delivery stage. According to the corresponding pile position number, the pile length is determined, and the unit pile construction is divided into a plurality of pulp preparation and delivery stages according to the pile length and the design ash content; An independent target ash content, a section number and a start and end depth are generated for each of the pulp preparation and delivery stages, the section number is used for receiving data docking, and the target ash content and the start and end depth are used for comparing the pulp delivery state information; Before the handover of the pulp preparation and delivery stage, the pulp delivery state information corresponding to each of the pulp preparation and delivery stages is obtained, and the stage pulp preparation is performed according to the pulp delivery state information, the target ash content and the start and end depth, while the pulp preparation state information is interacted and the pulp delivery speed is adjusted.

[0009] Further, it further includes constructing a pulp preparation and delivery database; The pulp preparation and delivery database is used to store the pulp preparation design parameters, the pulp delivery state information and the synchronous control instruction; The historical pile construction data is preprocessed and classified, and the historical pile construction data is analyzed by deep learning; The pulp preparation and delivery database realizes data interaction with the Internet of Things control platform through a data interface, the Internet of Things control platform analyzes, compares and decides based on the real-time collected data in the pulp preparation and delivery database and the historical pile construction data, and realizes the intelligent optimization of the synchronous control instruction of the pulp preparation and delivery parameters in each stage of the pile construction process.

[0010] Further, the Internet of Things control platform analyzes, compares and decides based on the real-time collected data in the pulp preparation and delivery database and the historical pile construction data, and realizes the intelligent optimization of the synchronous control instruction of the pulp preparation and delivery parameters in each stage of the pile construction process, including: The construction geological information is taken as a classification item, each classification item corresponds to a number of synchronous control instructions in the deep learning result, and the synchronous control instructions include slurry feeding control instructions and slurry preparation ratio instructions of each slurry preparation and feeding stage. The Internet of Things control platform matches the construction geological information and obtains the corresponding synchronous control instructions. The next slurry preparation and feeding stage is executed according to the synchronous control instructions to set the slurry preparation ratio and the slurry feeding speed. And the deep learning result is matched again according to the real-time collection data to optimize the synchronous control instructions.

[0011] Further, a construction time axis for unit pile foundation construction is further included, which includes: The construction time axis runs through the corresponding unit pile foundation construction. A monitoring time point is set on the construction time axis, including a first time point corresponding to an end node of each slurry preparation and feeding stage and a second time point corresponding to a preset time point of each slurry preparation and feeding stage. Slurry preparation state information and slurry feeding state information are sent to the Internet of Things control platform at the monitoring time point, and control instructions for executing slurry preparation and slurry feeding are sent at the same time. The preset time point is the initial time point of the preset slurry preparation ratio and the preset slurry feeding speed.

[0012] Further, the Internet of Things control platform controls a plurality of tasks, each task includes at least one set of slurry preparation and feeding equipment, and an execution queue is set for the plurality of tasks.

[0013] Further, a slurry storage tank is set for each task, which is a pre-storage space after slurry preparation for each task.

[0014] The intelligent control system of pile machine monitoring and slurry preparation and feeding linkage includes: A slurry preparation ratio module, which pre-configures slurry preparation design parameters and executes initial slurry preparation according to the slurry preparation design parameters, the slurry preparation design parameters including pile position number, designed ash amount, water-cement ratio, slurry density and designed mixing time; A slurry feeding monitoring module, which positions a construction pile machine according to the pile position number, performs initial slurry feeding on the positioned construction pile machine, sets a monitoring host to perform real-time construction monitoring on the construction pile machine, and collects slurry feeding state information; An Internet of Things control module, which establishes an Internet of Things control platform, divides unit pile foundation construction into a plurality of slurry preparation and feeding stages according to the designed ash amount, and performs stage slurry preparation of the next slurry preparation and feeding stage according to the slurry feeding state information with each slurry preparation and feeding stage as a monitoring unit, and synchronously controls the slurry feeding speed.

[0015] Furthermore, the IoT control module includes: The pulping monitoring unit monitors each of the pulping devices to obtain pulping status information and upload it to the Internet of Things control platform. The network construction unit configures an Internet of Things (IoT) communication module for each of the monitoring hosts and pulping equipment, and establishes bidirectional real-time data communication with the IoT control platform respectively; The information transmission unit centrally collects and separately transmits the slurry design parameters for each of the slurry preparation and delivery stages through the Internet of Things control platform. The central collection is used for data traceability, and the separate transmission is used for synchronous control of the construction pile driver. The pulp delivery control unit, which is part of the IoT control platform, transmits pulp preparation tasks and pulp delivery control commands, and links various devices to achieve on-demand preparation and synchronous pumping of pulp.

[0016] The technical solution of this invention can achieve the following technical effects: This invention effectively overcomes the problems of inaccurate control of grout preparation and delivery quality, system data disconnection, and inaccurate ash content calculation in existing pile foundation construction processes. By using an Internet of Things platform to monitor and control grout preparation parameters, delivery process, and construction status in real time, it realizes automatic data collection, intelligent analysis, and dynamic adjustment of the entire grout preparation and delivery process, greatly improving the accuracy of parameter input and proportion, ensuring the uniformity and precision of grout supply at each stage, and reducing the risk of insufficient or excessive grouting.

[0017] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A flowchart illustrating the intelligent control method that links pile driver monitoring with grout delivery; Figure 2 A flowchart illustrating the process of establishing an IoT control platform; Figure 3 A schematic diagram of the intelligent control system linking pile driver monitoring and grout delivery; Figure Labels 1. Internet of Things (IoT) control module; 2. Pulp mixing and proportioning module; 3. Pulp delivery control unit; 4. Pulp delivery monitoring module. Detailed Implementation

[0020] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0022] Example 1; like Figure 1 As shown, this application provides an intelligent control method for linking pile driver monitoring and grout delivery, the method including: S10: Pre-configure the slurry preparation design parameters and perform initial slurry preparation according to the slurry preparation design parameters, including pile location number, design ash content, water-cement ratio, slurry density and design mixing time; S20: Locate the construction pile driver according to the pile number, perform initial grouting on the located construction pile driver, and set up a monitoring host to monitor the construction pile driver in real time and collect grouting status information. S30: Establish an Internet of Things (IoT) control platform, divide the construction of unit pile foundation into several grouting stages according to the design grout volume, and use each grouting stage as a monitoring unit to execute the next grouting stage grouting according to the grouting status information, and synchronously control the grouting speed.

[0023] Specifically, in this embodiment, the slurry design parameters include pile location number, design ash content, water-cement ratio, slurry density, and design mixing time. These slurry design parameters are only for the initial stage of multi-stage slurry preparation, and each parameter depends on the geological construction conditions. The IoT control platform obtains relevant construction information, such as pile driver model, geological conditions, slurry mixing status, and slurry delivery speed, through communication with the pile driver host. Based on the monitored slurry delivery status of the pile driver, including the mixing time with the geological soil, the IoT control platform automatically calculates the design ash content, water-cement ratio, and other slurry parameters required for the next slurry preparation and delivery stage. During construction, the monitoring host collects real-time status information such as the pile driver's flow rate, pressure, slurry delivery speed, and slurry concentration. The collected data is synchronously uploaded to the IoT platform via a wireless network, enabling dynamic monitoring and feedback adjustment of the entire construction process. Based on the design ash content, the IoT control platform divides the unit pile foundation construction into several slurry preparation and delivery stages, and dynamically adjusts the slurry delivery parameters according to the real-time monitoring data of each stage, ensuring that the slurry ratio and delivery speed of each stage are accurately controllable.

[0024] The technical solution of this invention can effectively overcome the problems of difficulty in accurately controlling the quality of grout preparation and delivery, system data disconnection, and inaccurate ash content calculation in the existing pile foundation construction process. By using an Internet of Things platform to monitor and control grout preparation parameters, grout delivery process, and construction status in real time, it realizes automatic data collection, intelligent analysis, and dynamic adjustment of the entire grout preparation and delivery process, which greatly improves the accuracy of parameter input and proportion, ensures the uniformity and precision of grout supply at each stage, and reduces the risk of insufficient or excessive grouting.

[0025] Furthermore, such as Figure 2 As shown, an IoT control platform is established, including: S31: The pulping equipment performs initial pulping and stage pulping, monitors each pulping unit, obtains pulping status information, and uploads it to the Internet of Things control platform; S32: Configure each monitoring host and pulping equipment with an IoT communication module to establish two-way real-time data communication with the IoT control platform; S33: The slurry design parameters for each stage of slurry preparation and delivery are collected centrally and sent separately through the Internet of Things control platform. The centralized collection is used for data traceability, and the separate sending is used for synchronous control of the construction pile driver. S34: The IoT control platform transmits pulping tasks and pulp delivery control commands, and links various equipment to realize on-demand pulp preparation and synchronous pumping.

[0026] As a preference of the above embodiments, first, for each pulping device, an Internet of Things (IoT) communication module is configured at the device end. This communication module establishes a data channel with the IoT control platform to achieve real-time data upload and timely instruction issuance. The monitoring host is also configured with a corresponding IoT communication module to ensure real-time collection and transmission of on-site monitoring data. In this way, efficient interconnection between various on-site devices and the platform can be achieved. During the construction preparation stage, the IoT control platform uniformly issues the pulping design parameters required for each pile driver, including pile position number, pile number, designed ash volume, water-cement ratio, slurry density, designed mixing time, etc. Each monitoring host and pulping device automatically receive and save these parameters. By detecting the status of the pulping device, the platform can collect multiple key process parameters such as mixing speed, feeding sequence, feeding volume, real-time slurry density, mixing time, etc., and upload them to the database in a timely manner. During the specific construction process, the IoT platform monitors the pulping status of each pulping device in stages. After the pile driver executes the initial pulping, the platform can determine whether the current pulping stage meets the design requirements based on the parameters such as slurry concentration and flow rate collected in real time, and automatically trigger the pulping and slurry feeding tasks of the next stage accordingly. At the same time, the platform centrally stores the data collected in each stage for subsequent data traceability and quality analysis. Through the IoT control platform, the pulping design parameters of each stage can be centrally collected for global construction quality traceability and can also be separately issued to each pile driver to achieve precise control of each construction unit. For example, the platform can separately formulate pulping and slurry feeding plans for pile drivers at different positions in the same construction project, dynamically adjust the slurry ratio and slurry feeding rhythm according to soil differences and on-site progress, etc., to improve the flexibility and refinement level of construction. At the same time, the platform realizes the linkage between multiple devices such as pulping devices, monitoring hosts, and slurry feeding pumps by issuing pulping task instructions and slurry feeding control instructions. For example, when the monitoring host detects that the slurry stock is insufficient or the quality deviates from the design standard, the platform can issue instructions for supplementary slurry or adjusting the mixing time in real time to ensure that the slurry is prepared as needed and pumped synchronously, avoiding under-slurry or over-slurry phenomena caused by link disconnection.

[0027] Furthermore, according to the designed ash volume, the unit pile foundation construction is divided into several slurry making and feeding stages, and stage slurry making for the next slurry making and feeding stage is performed based on the slurry feeding status information with each slurry making and feeding stage as the monitoring unit, including: Determine the pile length according to the corresponding pile position number, and divide the unit pile foundation construction into several slurry making and feeding stages according to the pile length and the designed ash volume; Generate independent target ash volume, segment number, and start and end depths for each slurry making and feeding stage. The segment number is used for data docking reception, and the target ash volume and start and end depths are used for comparing the slurry feeding status information; Before the handover of the slurry making and feeding stage, obtain the slurry feeding status information corresponding to each slurry making and feeding stage, and perform stage slurry making according to the slurry feeding status information, target ash volume, and start and end depths, and at the same time interact the slurry making status information and adjust the slurry feeding speed.

[0028] Based on the above implementation method, the IoT control platform first automatically obtains the pile length of the corresponding pile foundation according to the pile location number, and divides the entire pile foundation construction process into several grouting stages in combination with the design grout volume. Each stage is assigned an independent target grout volume, segment number, and start and end depth, realizing refined segmented management of the entire process. The platform automatically generates the above parameters for each grouting stage. The segment number serves as a unique identifier for data docking and quality traceability, while the target grout volume and start and end depth are used to compare and verify the grouting status. During the specific construction process, before each grouting stage is started, the platform collects the grouting status information of the previous stage, including the actual grout volume, pumping pressure, grout concentration, etc., and compares and analyzes it with the target grout volume and start and end depth. If a deviation in grout volume or abnormal grouting speed is found, the platform can automatically adjust the grouting ratio and grouting speed of the current stage, or compensate for the target grout volume, to achieve dynamic closed-loop adjustment and precise control. The actual parameters, adjustment measures, and execution results of all segments are recorded and uploaded in real time, which facilitates subsequent quality analysis and full-process data traceability.

[0029] Furthermore, this also includes building a pulp production and delivery database; The pulp preparation and delivery database is used to store pulp preparation design parameters, pulp delivery status information, and synchronization control commands. Historical pile foundation construction data is preprocessed and classified, and then deep learning analysis is performed on the historical pile foundation construction data. The grout preparation and delivery database interacts with the IoT control platform through a data interface. The IoT control platform analyzes, compares, and makes decisions based on the real-time data collected from the grout preparation and delivery database and historical pile foundation construction data, thereby achieving intelligent optimization of synchronous control commands for grout preparation and delivery parameters at each stage of pile foundation construction.

[0030] Building upon the aforementioned embodiments, a grouting and delivery database is further constructed to comprehensively store grouting design parameters, grouting status information, and synchronous control commands. It also enables real-time data interaction with an IoT control platform through various data interfaces. The platform cleans, categorizes, and extracts features from historical pile foundation construction data to form a standardized dataset. Deep learning models are then used to train and analyze the historical data, automatically extracting typical working conditions and optimization patterns. This provides intelligent decision-making support for subsequent construction. In practical applications, the platform compares real-time collected construction data with historical data and model analysis results in the database, automatically identifying anomalies or areas for optimization. Based on this, it dynamically adjusts grouting and delivery parameters at each stage and issues synchronous control commands, achieving intelligent optimization and closed-loop regulation of the entire pile foundation construction process. All process data and decision results are transmitted back and archived in real time, ensuring refined management, parameter optimization, and efficient traceability throughout the entire construction process. This significantly improves data utilization efficiency, intelligence level, and project quality in pile foundation construction.

[0031] Furthermore, the IoT control platform analyzes, compares, and makes decisions based on real-time data collected from the grouting and delivery database and historical pile foundation construction data. This enables intelligent optimization of synchronous control commands for grouting and delivery parameters at each stage of pile foundation construction, including: Construction geological information is used as a classification item. Each classification item corresponds to several synchronous control instructions in the deep learning results. The synchronous control instructions include the slurry delivery control instructions and slurry mixing ratio instructions for each slurry preparation and delivery stage. The IoT control platform matches the construction geological information and obtains the corresponding synchronous control commands; According to the synchronous control command, the next pulp preparation and feeding stage is executed with preset pulp preparation ratio and preset pulp feeding speed; The system then re-matches the deep learning results with the real-time collected data to optimize the synchronization control commands.

[0032] As a preferred embodiment of the above, the geological information is first classified as a category. The geological type, water content, and other parameters collected on-site are matched with historical data and deep learning results in the grouting database. Synchronous control instructions for the corresponding geological type are automatically obtained. These instructions include parameter settings such as grouting speed, pressure, and grouting ratio for each grouting stage. The platform presets the grouting ratio and grouting speed for the next grouting stage in advance based on the synchronous control instructions. Real-time data is continuously collected during actual construction. The collected results are compared and analyzed with the optimization suggestions of the deep learning model in real time. If abnormalities such as uneven grouting or ash content deviation are detected, the platform will match the deep learning results again based on the latest data, dynamically optimize the synchronous control instructions, and automatically adjust the grouting ratio and grouting speed. This achieves adaptive parameter adjustment and intelligent closed-loop optimization of the construction process, comprehensively improving the automation, intelligence, and construction quality of pile foundation construction.

[0033] Furthermore, this also includes setting a construction timeline for the unit pile foundation construction, including: The construction timeline spans the corresponding unit pile foundation construction; Monitoring time points are set on the construction timeline, including the first time point corresponding to the end node of each grouting stage, and the second time point corresponding to the preset time point of each grouting stage. At the monitoring time points, pulping status information and pulp delivery status information are sent to the IoT control platform respectively, and control commands to execute pulping and pulp delivery are also sent. The preset time point is the initial time point of the preset pulping ratio and preset pulp delivery speed.

[0034] Based on the above implementation method, the IoT control platform automatically generates a construction timeline covering the entire process for each unit pile foundation construction. This timeline runs through the entire construction process and is detailed to each grouting and delivery stage. On the timeline, the platform sets a first time point and a second time point for each grouting and delivery stage. The first time point is used to identify the actual completion node of each stage and trigger the archiving of status information and evaluation of construction results for that stage. The second time point corresponds to the parameter pre-setting node before each stage of construction, which is used to issue control instructions such as grouting ratio and grouting speed in advance to ensure that the equipment and parameters are ready before the stage begins. At each monitoring time point, the platform automatically collects and uploads the current grouting and delivery status information, and sends corresponding execution control instructions to relevant equipment according to the preset node type, thereby realizing full-time node management and data closed-loop control of the construction process.

[0035] Furthermore, it also includes an IoT control platform controlling multiple tasks, each task including at least one set of pulp feeding equipment, and setting up execution queues for multiple tasks.

[0036] In this embodiment, the IoT control platform uses a modular management approach to configure each pile foundation construction task as an independent unit. Each task can be flexibly allocated with at least one set of grouting equipment, including a grouting machine, a grouting pump, a monitoring host, and a pile driver. The IoT communication module enables real-time interconnection between the equipment and the platform. The platform sets execution queues for multiple tasks and can automatically or manually adjust the queue order based on factors such as task priority, resource consumption, and on-site progress, achieving precise scheduling of equipment and parameter schemes. During the execution of the task queue, the platform continuously monitors the equipment status and task progress, automatically issues various control commands, and dynamically adjusts task scheduling based on equipment availability and construction conditions. When a task execution is abnormal, the platform can automatically switch or adjust the queue to ensure that the overall construction proceeds efficiently and orderly. All task status, scheduling parameters, and execution feedback data are archived in real time, providing support for subsequent management, optimization, and traceability. This solution significantly improves the automation, integration, and intelligent management level of multi-task, multi-equipment pile foundation construction.

[0037] Furthermore, a pulp storage tank is set up for each task, serving as a pre-storage space after pulp preparation for each task.

[0038] Based on the above embodiments, an independent grout storage tank is configured for each pile foundation construction task as a pre-storage space after grout preparation, which is used to decouple and buffer the grout preparation and delivery processes. Each grout storage tank has a unique identifier and corresponds one-to-one with the task. The system records and monitors its capacity, grout volume, liquid level, batch, and grout parameters in real time. After grout preparation, the grout first enters the corresponding grout storage tank. The platform takes grout from the storage tank as needed for delivery according to the delivery plan and queue scheduling, avoiding resource waste caused by equipment waiting or construction node adjustments, improving construction efficiency and continuity. The platform can also dynamically adjust the capacity and usage strategy of the grout storage tank, realize intelligent grout allocation according to the site conditions, and implement digital management of the grout storage tank status, including liquid level monitoring, abnormal alarms, and automatic stirring, to ensure the full traceability of grout quality and construction data.

[0039] Example 2; Based on the same inventive concept as the intelligent control method for linking pile driver monitoring and grout delivery in the aforementioned embodiments, such as... Figure 3 As shown, the present invention also provides an intelligent control system for the linkage of pile driver monitoring and grout delivery, the system comprising: The slurry mixing module 2 is pre-configured with slurry design parameters and performs initial slurry preparation according to the slurry design parameters, including pile location number, design ash content, water-cement ratio, slurry density and design mixing time. The grouting monitoring module 4 locates the construction pile driver according to the pile number, performs initial grouting on the located construction pile driver, and sets up a monitoring host to monitor the construction pile driver in real time and collect grouting status information. The Internet of Things (IoT) control module 1 establishes an IoT control platform, which divides the construction of the unit pile foundation into several grouting stages based on the design grout volume. Each grouting stage is used as a monitoring unit to execute the next grouting stage based on the grouting status information, and the grouting speed is synchronously controlled.

[0040] The adjustment system described above in this invention can effectively realize the intelligent control method of linking pile driver monitoring and grout delivery, and the technical effects it can achieve are as described in the above embodiments, which will not be repeated here.

[0041] Furthermore, the IoT control module 1 includes: The pulping monitoring unit monitors each piece of pulping equipment to obtain pulping status information and upload it to the Internet of Things control platform. The network construction unit is equipped with an IoT communication module for each monitoring host and pulping equipment, and establishes two-way real-time data communication with the IoT control platform. The information transmission unit centrally collects and separately transmits the slurry design parameters for each stage of slurry preparation and delivery through the Internet of Things control platform. The centralized collection is used for data traceability, and the separate transmission is used for synchronous control of the construction pile driver. The pulp delivery control unit 3 transmits pulp preparation tasks and pulp delivery control commands through the Internet of Things control platform, and links various devices to realize on-demand preparation and synchronous pumping of pulp.

[0042] Similarly, the above-mentioned optimization schemes for the system can also achieve the optimization effects corresponding to the method in Embodiment 1, which will not be repeated here.

[0043] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of the application as defined herein, and are to be considered as covering any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Thus, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. An intelligent control method for linking pile driver monitoring and grout delivery, characterized in that, The method includes: Pre-configure the slurry preparation design parameters and perform initial slurry preparation according to the slurry preparation design parameters, which include pile location number, design ash content, water-cement ratio, slurry density and design mixing time; The construction pile driver is located according to the pile number, the initial grouting is performed on the located construction pile driver, and a monitoring host is set up to monitor the construction pile driver in real time and collect grouting status information. An Internet of Things (IoT) control platform is established, which divides the construction of the unit pile foundation into several grouting stages based on the designed grout volume. Each grouting stage is used as a monitoring unit, and the next grouting stage is executed based on the grouting status information. The grouting speed is also controlled synchronously.

2. The intelligent control method for linking pile driver monitoring and grout delivery according to claim 1, characterized in that, Establish an IoT control platform, including: The pulping equipment performs the initial pulping and stage pulping, and monitors each of the pulping equipment to obtain pulping status information and upload it to the Internet of Things control platform; Each of the monitoring hosts and pulping equipment is equipped with an Internet of Things (IoT) communication module, which establishes bidirectional real-time data communication with the IoT control platform. The IoT control platform centrally collects and separately transmits the slurry design parameters for each of the slurry preparation and delivery stages. The centralized collection is used for data traceability, and the separate transmission is used for synchronous control of the construction pile driver. The IoT control platform transmits pulping tasks and pulp delivery control commands, and links various devices to achieve on-demand pulp preparation and synchronous pumping.

3. The intelligent control method for linking pile driver monitoring and grout delivery according to claim 1 or 2, characterized in that, Based on the designed grout volume, the construction of the unit pile foundation is divided into several grouting stages, and each grouting stage is used as a monitoring unit to perform stage grouting for the next grouting stage according to the grouting status information, including: The pile length is determined according to the corresponding pile number, and the construction of the unit pile foundation is divided into several grouting stages according to the pile length and the design grout volume. For each of the pulp preparation and feeding stages, an independent target ash content, segment number, and start and end depth are generated. The segment number is used for receiving data and docking. The target ash content and start and end depth are used for comparing the pulp feeding status information. Before the delivery of the pulp preparation and delivery stage, the pulp delivery status information corresponding to each pulp preparation and delivery stage is obtained, and the stage pulp preparation is performed according to the pulp delivery status information, target ash content and start and end depth. At the same time, the pulp preparation status information is exchanged and the pulp delivery speed is adjusted.

4. The intelligent control method for linking pile driver monitoring and grout delivery according to claim 1, characterized in that, This also includes building a pulp delivery database; The pulp preparation and delivery database is used to store the pulp preparation design parameters, pulp delivery status information, and synchronization control commands. The historical pile foundation construction data is preprocessed and classified, and then deep learning analysis is performed on the historical pile foundation construction data. The grout preparation and delivery database interacts with the IoT control platform through a data interface. The IoT control platform analyzes, compares, and makes decisions based on the real-time data collected in the grout preparation and delivery database and the historical pile foundation construction data, thereby achieving intelligent optimization of synchronous control commands for grout preparation and delivery parameters at each stage of pile foundation construction.

5. The intelligent control method for linking pile driver monitoring and grout delivery according to claim 4, characterized in that, The IoT control platform analyzes, compares, and makes decisions based on real-time data collected in the grouting and delivery database and historical pile foundation construction data. This enables intelligent optimization of synchronous control commands for grouting and delivery parameters at each stage of pile foundation construction, including: Using construction geological information as a classification item, each classification item corresponds to several synchronous control instructions in the deep learning results. The synchronous control instructions include slurry delivery control instructions and slurry mixing ratio instructions for each of the slurry preparation and delivery stages. The IoT control platform matches the construction geological information and obtains the corresponding synchronization control command; According to the synchronous control command, the next pulp preparation and delivery stage is executed with a preset pulp preparation ratio and a preset pulp delivery speed. The synchronization control command is then optimized by matching the deep learning results with the real-time collected data again.

6. The intelligent control method for linking pile driver monitoring and grout delivery according to claim 5, characterized in that, This also includes setting a construction timeline for the unit pile foundation construction, including: The construction timeline spans the construction of the corresponding unit pile foundation; Monitoring time points are set on the construction timeline, including a first time point corresponding to the end node of each of the slurry preparation and delivery stages, and a second time point corresponding to a preset time point of each of the slurry preparation and delivery stages. At the monitoring time points, pulping status information and pulp delivery status information are sent to the IoT control platform, and control commands to execute pulping and pulp delivery are sent simultaneously. The preset time point is the initial time point of the preset pulping ratio and preset pulp delivery speed.

7. The intelligent control method for linking pile driver monitoring and grout delivery according to claim 1 or 2, characterized in that, It also includes the IoT control platform controlling multiple tasks, each task including at least one set of pulp feeding equipment, and setting an execution queue for the multiple tasks.

8. The intelligent control method for linking pile driver monitoring and grout delivery according to claim 7, characterized in that, A slurry storage tank is set up for each task, which is a pre-storage space after slurry preparation for each task.

9. An intelligent control system for linking pile driver monitoring and grout delivery, characterized in that, The system includes: The slurry mixing module is pre-configured with slurry design parameters and performs initial slurry mixing according to the slurry design parameters, which include pile location number, design ash content, water-cement ratio, slurry density and design mixing time. The grouting monitoring module locates the construction pile driver according to the pile number, performs initial grouting on the located construction pile driver, and sets up a monitoring host to monitor the construction pile driver in real time and collect grouting status information. The Internet of Things (IoT) control module establishes an IoT control platform, divides the unit pile foundation construction into several grouting stages according to the designed grout volume, and uses each grouting stage as a monitoring unit. Based on the grouting status information, it executes the next stage of grouting preparation and synchronously controls the grouting speed.

10. The intelligent control system for pile driver monitoring and grout delivery linkage according to claim 9, characterized in that, The IoT control module includes: The pulping monitoring unit monitors each of the pulping devices to obtain pulping status information and upload it to the Internet of Things control platform. The network construction unit configures an Internet of Things (IoT) communication module for each of the monitoring hosts and pulping equipment, and establishes bidirectional real-time data communication with the IoT control platform respectively; The information transmission unit centrally collects and separately transmits the slurry design parameters for each of the slurry preparation and delivery stages through the Internet of Things control platform. The central collection is used for data traceability, and the separate transmission is used for synchronous control of the construction pile driver. The pulp delivery control unit, which is part of the IoT control platform, transmits pulp preparation tasks and pulp delivery control commands, and links various devices to achieve on-demand preparation and synchronous pumping of pulp.

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