Online monitoring method and device for mixing pile and electronic equipment
By using online monitoring methods and devices, key data of cement mixing piles are acquired and verified in real time, a risk matrix model is constructed, and control signals are generated. This solves the problems of data lag and tampering in traditional cement mixing pile construction, achieves accurate control of pile depth and cement usage, reduces the risk of shoddy workmanship, and improves construction efficiency and quality traceability.
Patent Information
- Application Number
- CN202510956206.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-11
- Publication Date
- 2025-10-31
AI Technical Summary
Traditional cement mixing pile construction relies on manual recording of key parameters, which leads to problems such as data lag, easy tampering, and difficulty in traceability. It cannot dynamically correct deviations in real time, resulting in project delays and resource waste.
By employing online monitoring methods, data on drill rod inclination angle, slurry flow rate, and cement consumption are acquired. Coordinate transformation and dual-source verification are then performed to construct a pile quality risk matrix model. Real-time control signals are generated to correct deviations, thereby achieving accurate control of pile depth and cement usage.
It achieves accurate control of pile depth, and the deviation of cement usage is significantly lower than the industry standard, reducing the risk of cutting corners. Automatic positioning and re-pile and intelligent control shorten the treatment cycle, save material and labor costs, and build an tamper-proof quality traceability system.
Smart Images

Figure CN120875541A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of mixing pile monitoring technology, and in particular to an online monitoring method, device and electronic equipment for mixing piles. Background Technology
[0002] Traditional cement mixing pile construction relies on manual recording of key parameters (pile depth, cement usage, etc.), which suffers from drawbacks such as data lag, susceptibility to tampering, and difficulty in traceability. While existing monitoring systems can collect data, they lack real-time analysis capabilities and cannot dynamically correct deviations during construction. In particular, when drill rods tilt or grouting volume is insufficient, only post-construction spot checks and rework are possible, resulting in project delays and resource waste.
[0003] Therefore, an online monitoring method, device, and electronic equipment for mixing piles are proposed. Summary of the Invention
[0004] This manual provides an online monitoring method, device, and electronic equipment for mixing piles, which enables accurate control of pile depth, significantly reduces cement usage deviation compared to industry standards, and minimizes the risk of substandard workmanship.
[0005] This manual provides a method for online monitoring of mixing piles, including: Acquire drill pipe inclination data, slurry flow rate data, cement consumption mass data, and drill pipe displacement data; The drill rod inclination angle data and the drill rod displacement data are converted into coordinates to calculate the actual pile depth. The slurry flow rate data and the cement consumption mass data are verified using a dual-source method to generate the effective cement usage. Based on preset pile depth thresholds, cement usage safety standards, and drill rod speed specifications, a pile quality risk matrix model is constructed. Input the actual pile depth of the drill rod, the effective cement consumption, and the real-time drilling speed into the risk matrix model, and output the risk level index. When the risk level index exceeds a preset threshold, a control signal is generated that includes a drilling speed correction command, a grouting volume compensation command, or an equipment lock command.
[0006] Optionally, acquiring drill pipe inclination data and drill pipe displacement data includes: The X-axis tilt angle and Y-axis tilt angle of the drill rod are obtained by a dual-axis MEMS tilt sensor fixed to the top of the drill rod, the coordinates of the bottom of the drill rod in the drill rod coordinate system are obtained by a displacement sensor, and the position vector of the drill rod in the geodetic coordinate system is obtained by a positioning sensor fixed to the top of the drill rod. Determine the drill pipe inclination angle data based on the drill pipe X-axis inclination angle and Y-axis inclination angle; Based on the position vector of the drill rod in the geodetic coordinate system, the spatial attitude angle of the drill rod, and the position vector of the drill rod in the geodetic coordinate system, the displacement data of the drill rod is determined.
[0007] Optionally, the step of performing dual-source verification on the slurry flow rate data and the cement consumption mass data to generate effective cement usage includes: The theoretical data for cement quality are determined based on the slurry flow rate data. Determine whether the deviation between the theoretical cement quality data and the cement consumption quality data exceeds a preset deviation value; When the deviation between the theoretical cement quality data and the cement consumption data exceeds a preset deviation value, the pressure sensor is activated and its data is acquired. Based on the pressure sensor data, the effective cement dosage is generated.
[0008] Optional, also includes: A heat map of pile defects is generated based on the risk level index, and the chromaticity coordinates of the heat map are positively correlated with the cement usage loss rate. The pile driver is driven to perform positioning and re-driving based on the coordinates of high-risk areas in the heat map.
[0009] Optional, also includes: The control signal is synchronously pushed to multiple terminals through an IoT platform. Specifically: Send an encrypted instruction packet containing risk coordinates and control parameters to the computer-based web system; Push tiered alarm messages to mobile mini-programs; When a device lock command is triggered, a work order is automatically generated and assigned to the responsible person's account.
[0010] Optionally, the IoT platform dynamically configures operation permissions based on user roles. Construction team accounts can only receive alarms from their own equipment and are prohibited from exporting data. Supervision engineer accounts can activate the risk heat map for the entire project section and issue reprint instructions that require digital certificate signatures. Owner administrator accounts enable the blockchain evidence storage interface and trigger triple audit logs containing timestamps, operator fingerprints, and equipment fingerprints. Work order closure requires verification of the electronic certificate of compliance for cement compensation.
[0011] This manual provides an online monitoring device for mixing piles, including: The acquisition module is used to acquire drill pipe inclination angle data, slurry flow rate data, cement consumption mass data, and drill pipe displacement data; The conversion module is used to perform coordinate conversion between the drill rod inclination data and the drill rod displacement data, and to calculate the actual pile depth of the drill rod; The verification module is used to perform dual-source verification on the slurry flow rate data and the cement consumption mass data to generate the effective cement usage. The module is used to construct a pile quality risk matrix model based on preset pile depth thresholds, cement usage safety standards, and drill rod speed specifications. The output module is used to input the actual pile depth of the drill rod, the effective cement consumption, and the real-time drilling speed into the risk matrix model, and output the risk level index. The generation module is used to generate a control signal containing drilling speed correction instructions, grouting volume compensation instructions, or equipment locking instructions when the risk level index exceeds a preset threshold.
[0012] Optionally, acquiring drill pipe inclination data and drill pipe displacement data includes: The X-axis tilt angle and Y-axis tilt angle of the drill rod are obtained by a dual-axis MEMS tilt sensor fixed to the top of the drill rod, the coordinates of the bottom of the drill rod in the drill rod coordinate system are obtained by a displacement sensor, and the position vector of the drill rod in the geodetic coordinate system is obtained by a positioning sensor fixed to the top of the drill rod. Determine the drill pipe inclination angle data based on the drill pipe X-axis inclination angle and Y-axis inclination angle; Based on the position vector of the drill rod in the geodetic coordinate system, the spatial attitude angle of the drill rod, and the position vector of the drill rod in the geodetic coordinate system, the displacement data of the drill rod is determined.
[0013] Optionally, the step of performing dual-source verification on the slurry flow rate data and the cement consumption mass data to generate effective cement usage includes: The theoretical data for cement quality are determined based on the slurry flow rate data. Determine whether the deviation between the theoretical cement quality data and the cement consumption quality data exceeds a preset deviation value; When the deviation between the theoretical cement quality data and the cement consumption data exceeds a preset deviation value, the pressure sensor is activated and its data is acquired. Based on the pressure sensor data, the effective cement dosage is generated.
[0014] Optional, also includes: A heat map of pile defects is generated based on the risk level index, and the chromaticity coordinates of the heat map are positively correlated with the cement usage loss rate. The pile driver is driven to perform positioning and re-driving based on the coordinates of high-risk areas in the heat map.
[0015] Optional, also includes: The control signal is synchronously pushed to multiple terminals through an IoT platform. Specifically: Send an encrypted instruction packet containing risk coordinates and control parameters to the computer-based web system; Push tiered alarm messages to mobile mini-programs; When a device lock command is triggered, a work order is automatically generated and assigned to the responsible person's account.
[0016] Optionally, the IoT platform dynamically configures operation permissions based on user roles. Construction team accounts can only receive alarms from their own equipment and are prohibited from exporting data. Supervision engineer accounts can activate the risk heat map for the entire project section and issue reprint instructions that require digital certificate signatures. Owner administrator accounts enable the blockchain evidence storage interface and trigger triple audit logs containing timestamps, operator fingerprints, and equipment fingerprints. Work order closure requires verification of the electronic certificate of compliance for cement compensation.
[0017] This specification also provides an electronic device, wherein the electronic device includes: A processor; and a memory storing computer-executable instructions, which, when executed, cause the processor to perform any of the methods described above.
[0018] This specification also provides a computer-readable storage medium that stores one or more programs that, when executed by a processor, implement any of the methods described above.
[0019] This invention achieves accurate control of pile depth, with cement usage deviations significantly lower than industry standards, reducing the risk of shoddy workmanship; automatic positioning and re-driving, along with intelligent control, shortens the handling cycle and significantly reduces project duration; preventative intervention avoids rework, saving substantial material and labor costs; and blockchain-based evidence storage combined with access control constructs an immutable quality traceability system. Attached Figure Description
[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0021] Figure 1 A schematic diagram illustrating the principle of an online monitoring method for mixing piles provided in the embodiments of this specification; Figure 2 This is a schematic diagram of the structure of an online monitoring device for mixing piles provided in the embodiments of this specification; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this specification; Figure 4 This is a schematic diagram of a computer-readable storage medium provided for an embodiment of this specification. Detailed Implementation
[0022] The following description is intended to disclose the present invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description can be applied to other embodiments, modifications, improvements, equivalents, and other technical solutions that do not depart from the spirit and scope of the invention.
[0023] The following is in conjunction with the appendix Figure 1-4 Exemplary embodiments of the invention will be described more fully here. However, exemplary embodiments can be implemented in many forms and should not be construed as limiting the invention to the embodiments set forth herein. Rather, these exemplary embodiments are provided to make the invention more comprehensive and complete, and to facilitate a full communication of the inventive concept to those skilled in the art. The same reference numerals in the figures denote the same or similar elements, components, or parts, and therefore repeated descriptions of them are omitted.
[0024] Subject to the technical concept of this invention, the features, structures, characteristics or other details described in a particular embodiment may be combined in one or more other embodiments in a suitable manner.
[0025] In the description of specific embodiments, the features, structures, characteristics, or other details described in this invention are intended to enable those skilled in the art to fully understand the embodiments. However, it is not excluded that those skilled in the art can practice the technical solutions of this invention without one or more of the specific features, structures, characteristics, or other details.
[0026] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.
[0027] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.
[0028] The terms “and / or” or “and / or” include all combinations of any one or more of the listed items.
[0029] Figure 1 This is a schematic diagram illustrating the principle of an online monitoring method for mixing piles provided in an embodiment of this specification. The method may include: S110: Obtain drill pipe inclination data, slurry flow rate data, cement consumption mass data, and drill pipe displacement data; S120: Perform coordinate transformation on the drill rod inclination angle data and the drill rod displacement data, and calculate the actual pile depth of the drill rod; S130: Perform dual-source verification on the slurry flow rate data and the cement consumption mass data to generate the effective cement usage; S140: Based on the preset pile depth threshold, cement usage safety standards and drill rod speed specifications, construct a pile quality risk matrix model; S150: Input the actual pile depth of the drill rod, the effective cement consumption, and the real-time drilling speed into the risk matrix model, and output the risk level index; S160: When the risk level index exceeds a preset threshold, a control signal is generated that includes a drilling speed correction command, a grouting volume compensation command, or an equipment lock command.
[0030] In the specific implementation described in this specification, a dual-axis tilt sensor at the top of the drill pipe monitors the tilt status in real time, a displacement sensor tracks the extension and retraction trajectory of the drill pipe, and a GNSS module accurately positions the spatial coordinates. A slurry flow meter and a weighing device synchronously collect cement data. When the risk model determines an anomaly, the system sends hydraulic adjustment or equipment locking commands to the drilling rig to achieve immediate correction of construction deviations.
[0031] Optionally, acquiring drill pipe inclination data and drill pipe displacement data includes: The X-axis tilt angle and Y-axis tilt angle of the drill rod are obtained by a dual-axis MEMS tilt sensor fixed to the top of the drill rod, the coordinates of the bottom of the drill rod in the drill rod coordinate system are obtained by a displacement sensor, and the position vector of the drill rod in the geodetic coordinate system is obtained by a positioning sensor fixed to the top of the drill rod. Determine the drill pipe inclination angle data based on the drill pipe X-axis inclination angle and Y-axis inclination angle; Based on the position vector of the drill rod in the geodetic coordinate system, the spatial attitude angle of the drill rod, and the position vector of the drill rod in the geodetic coordinate system, the displacement data of the drill rod is determined.
[0032] In the specific implementation described in this specification, the tilt sensor is rigidly connected to the drill pipe via a flange, ensuring strict alignment of the measuring axis with the drilling rig direction. The displacement sensor waveguide is laid along the side wall of the drill pipe, and the magnetic ring generates a displacement signal as the drill pipe moves. The positioning sensor is precisely aligned with the drill pipe axis. The spatial attitude angle is calculated using the tilt projection relationship, and the displacement data is fused with the positioning coordinates to generate a spatial trajectory.
[0033] Optionally, the step of performing dual-source verification on the slurry flow rate data and the cement consumption mass data to generate effective cement usage includes: The theoretical data for cement quality are determined based on the slurry flow rate data. Determine whether the deviation between the theoretical cement quality data and the cement consumption quality data exceeds a preset deviation value; When the deviation between the theoretical cement quality data and the cement consumption data exceeds a preset deviation value, the pressure sensor is activated and its data is acquired. Based on the pressure sensor data, the effective cement dosage is generated.
[0034] In the specific implementation of this specification, the grout flow rate data is converted into the theoretical cement dosage. When the difference between this data and the weighing data exceeds the allowable range, the pressure sensing network of the grouting pipeline is activated. Based on the effective flow rate value arbitrated according to the pressure difference, the final cement dosage adopts the fusion result of dual-source verification, effectively identifying pipeline blockage or metering failure.
[0035] Optional, also includes: A heat map of pile defects is generated based on the risk level index, and the chromaticity coordinates of the heat map are positively correlated with the cement usage loss rate. The pile driver is driven to perform positioning and re-driving based on the coordinates of high-risk areas in the heat map.
[0036] In the specific implementation method described in this specification, a pile body thermal map is generated based on the cement loss rate, with high-risk sections marked in warning colors. The system automatically analyzes the defect coordinates, drives the piling machine to precisely move to the target pile position, performs overlapping re-driving and compensating grouting, and eliminates potential quality hazards.
[0037] Optional, also includes: The control signal is synchronously pushed to multiple terminals through an IoT platform. Specifically: Send an encrypted instruction packet containing risk coordinates and control parameters to the computer-based web system; Push tiered alarm messages to mobile mini-programs; When a device lock command is triggered, a work order is automatically generated and assigned to the responsible person's account.
[0038] In the specific implementation of this specification, the control commands are transmitted encrypted via the Industrial Internet of Things: the computer receives the command packet containing spatial parameters; the mobile device pushes multi-level audible and visual alarms; when the equipment is locked, an electronic work order is automatically created, the responsible person is associated, and the emergency response process is initiated.
[0039] Optionally, the IoT platform dynamically configures operation permissions based on user roles. Construction team accounts can only receive alarms from their own equipment and are prohibited from exporting data. Supervision engineer accounts can activate the risk heat map for the entire project section and issue reprint instructions that require digital certificate signatures. Owner administrator accounts enable the blockchain evidence storage interface and trigger triple audit logs containing timestamps, operator fingerprints, and equipment fingerprints. Work order closure requires verification of the electronic certificate of compliance for cement compensation.
[0040] In the specific implementation method described in this manual, construction personnel can only operate the data on the machine itself; supervisors issue reprint instructions using digital certificates; the owner's end uses blockchain for evidence storage, and key operations are accompanied by device fingerprints and timestamps. Work order closure requires verification of electronic cement compensation vouchers, forming a traceable management loop.
[0041] This invention achieves accurate control of pile depth, with cement usage deviations significantly lower than industry standards, reducing the risk of shoddy workmanship; automatic positioning and re-driving, along with intelligent control, shortens the handling cycle and significantly reduces project duration; preventative intervention avoids rework, saving substantial material and labor costs; and blockchain-based evidence storage combined with access control constructs an immutable quality traceability system.
[0042] Figure 2 This is a schematic diagram of an online monitoring device for mixing piles provided in an embodiment of this specification. The device may include: The acquisition module 10 is used to acquire drill pipe inclination data, slurry flow rate data, cement consumption mass data, and drill pipe displacement data. The conversion module 20 is used to perform coordinate conversion between the drill rod inclination angle data and the drill rod displacement data, and to calculate the actual pile depth of the drill rod; Verification module 30 is used to perform dual-source verification on the slurry flow rate data and the cement consumption mass data to generate effective cement usage. Module 40 is used to construct a pile quality risk matrix model based on preset pile depth thresholds, cement usage safety standards, and drill rod speed specifications. Output module 50 is used to input the actual pile depth of the drill rod, the effective cement consumption and the real-time drilling speed into the risk matrix model, and output the risk level index; The generation module 60 is used to generate a control signal containing drilling speed correction instructions, grouting volume compensation instructions, or equipment lock instructions when the risk level index exceeds a preset threshold.
[0043] Optionally, acquiring drill pipe inclination data and drill pipe displacement data includes: The X-axis tilt angle and Y-axis tilt angle of the drill rod are obtained by a dual-axis MEMS tilt sensor fixed to the top of the drill rod, the coordinates of the bottom of the drill rod in the drill rod coordinate system are obtained by a displacement sensor, and the position vector of the drill rod in the geodetic coordinate system is obtained by a positioning sensor fixed to the top of the drill rod. Determine the drill pipe inclination angle data based on the drill pipe X-axis inclination angle and Y-axis inclination angle; Based on the position vector of the drill rod in the geodetic coordinate system, the spatial attitude angle of the drill rod, and the position vector of the drill rod in the geodetic coordinate system, the displacement data of the drill rod is determined.
[0044] Optionally, the step of performing dual-source verification on the slurry flow rate data and the cement consumption mass data to generate effective cement usage includes: The theoretical data for cement quality are determined based on the slurry flow rate data. Determine whether the deviation between the theoretical cement quality data and the cement consumption quality data exceeds a preset deviation value; When the deviation between the theoretical cement quality data and the cement consumption data exceeds a preset deviation value, the pressure sensor is activated and its data is acquired. Based on the pressure sensor data, the effective cement dosage is generated.
[0045] Optional, also includes: A heat map of pile defects is generated based on the risk level index, and the chromaticity coordinates of the heat map are positively correlated with the cement usage loss rate. The pile driver is driven to perform positioning and re-driving based on the coordinates of high-risk areas in the heat map.
[0046] Optional, also includes: The control signal is synchronously pushed to multiple terminals through an IoT platform. Specifically: Send an encrypted instruction packet containing risk coordinates and control parameters to the computer-based web system; Push tiered alarm messages to mobile mini-programs; When a device lock command is triggered, a work order is automatically generated and assigned to the responsible person's account.
[0047] Optionally, the IoT platform dynamically configures operation permissions based on user roles. Construction team accounts can only receive alarms from their own equipment and are prohibited from exporting data. Supervision engineer accounts can activate the risk heat map for the entire project section and issue reprint instructions that require digital certificate signatures. Owner administrator accounts enable the blockchain evidence storage interface and trigger triple audit logs containing timestamps, operator fingerprints, and equipment fingerprints. Work order closure requires verification of the electronic certificate of compliance for cement compensation.
[0048] The functions of the apparatus in this embodiment have been described in the above method embodiments. Therefore, for any parts not detailed in this embodiment, please refer to the relevant descriptions in the foregoing embodiments, which will not be repeated here.
[0049] Based on the same inventive concept, embodiments of this specification also provide an electronic device.
[0050] The following describes embodiments of the electronic device of the present invention, which can be considered as specific implementations of the methods and apparatus embodiments of the present invention described above. Details described in the embodiments of the electronic device of the present invention should be considered as supplements to the methods or apparatus embodiments described above; details not disclosed in the embodiments of the electronic device of the present invention can be implemented with reference to the methods or apparatus embodiments described above.
[0051] Figure 3 This is a schematic diagram of an electronic device provided as an embodiment of this specification. Refer to the following... Figure 3 The electronic device 300 according to this embodiment of the present invention will be described. Figure 3 The electronic device 300 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.
[0052] like Figure 3 As shown, the electronic device 300 is presented in the form of a general-purpose computing device. The components of the electronic device 300 may include, but are not limited to: at least one processing unit 310, at least one storage unit 320, a bus 330 connecting different system components (including storage unit 320 and processing unit 310), a display unit 340, etc.
[0053] The storage unit stores program code that can be executed by the processing unit 310, causing the processing unit 310 to perform the steps described in the processing method section of this specification according to various exemplary embodiments of the present invention. For example, the processing unit 310 can perform, for example... Figure 1 The steps are shown.
[0054] The storage unit 320 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 3201 and / or a cache storage unit 3202, and may further include a read-only memory unit (ROM) 3203.
[0055] The storage unit 320 may also include a program / utility 3204 having a set (at least one) program module 3205, such program module 3205 including but not limited to: an operating system, one or more application programs, other program modules and program data, each or some combination of these examples may include an implementation of a network environment.
[0056] Bus 330 can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the various bus structures.
[0057] Electronic device 300 can also communicate with one or more external devices 400 (e.g., keyboard, pointing device, Bluetooth device, etc.), and with one or more devices that enable viewers to interact with electronic device 300, and / or with any device that enables electronic device 300 to communicate with one or more other computing devices (e.g., router, modem, etc.). This communication can be performed via input / output (I / O) interface 350. Furthermore, electronic device 300 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 360. Network adapter 360 can communicate with other modules of electronic device 300 via bus 330. It should be understood that, although... Figure 3 As not shown, other hardware and / or software modules may be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.
[0058] Through the above description of the embodiments, those skilled in the art can readily understand that the embodiments described in this invention can be implemented through software, through software combined with necessary hardware, or solely through hardware circuit logic. Therefore, the technical solutions according to the embodiments of this invention can be embodied in the form of a software product. This software product can be stored in a computer-readable storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, or network device, etc.) to execute the above-described method according to this invention. When the computer program is executed by a data processing device, it enables the computer-readable medium to implement the above-described method of this invention, i.e.: as... Figure 1 The method shown can be used. Alternatively, the circuit logic functions of the image processing architecture described in this patent can be implemented on the FPGA and CPLD through configuration. The system software then calls these functions to implement the above-described method of this invention. Alternatively, the above-described method of this invention can be implemented solely using the logic circuits configured on the FPGA and CPLD.
[0059] Figure 4 This is a schematic diagram of a computer-readable medium provided for embodiments of this specification.
[0060] accomplish Figure 1The computer program of the method shown can be stored on one or more computer-readable media. A computer-readable medium can be a readable signal medium or a readable storage medium. A readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.
[0061] The computer-readable storage medium may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The readable storage medium may also be any readable medium other than a readable storage medium, capable of transmitting, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.
[0062] The computer-readable storage medium may include circuit configuration logic in programmable logic circuits such as FPGAs and CPLDs. Image processing architectures described in this patent implemented using other application hardware circuit logic should also be considered part of the computer-readable storage medium.
[0063] Program code for performing the operations of this invention can be written in any combination of one or more programming languages, including object-oriented programming languages such as Java and C++, as well as conventional procedural programming languages such as C or similar languages, and Verilog and VHDL languages for configuring logic circuits. The program code can be executed entirely on the audience computing device, partially on the audience device, as a standalone software package, partially on the audience computing device and partially on a remote computing device, or entirely on a remote computing device or server, or configured with logic circuitry for execution. In cases involving remote computing devices, the remote computing device can be connected to the audience computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).
[0064] In summary, the present invention can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that in practice, general-purpose data processing devices such as microprocessors or digital signal processors (DSPs) can be used to implement some or all of the functions of some or all of the components according to the embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and computer program product) for performing part or all of the methods described herein. Such programs implementing the present invention can be stored on a computer-readable medium or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.
[0065] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the present invention is not inherently related to any specific computer, virtual device, or electronic device, and various general-purpose devices can also implement the present invention. The above descriptions are merely specific embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
[0066] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.
[0067] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.
Claims
1. A method for online monitoring of mixing piles, characterized in that, include: Acquire drill pipe inclination data, slurry flow rate data, cement consumption mass data, and drill pipe displacement data; The drill rod inclination angle data and the drill rod displacement data are converted into coordinates to calculate the actual pile depth. The slurry flow rate data and the cement consumption mass data are verified using a dual-source method to generate the effective cement usage. Based on preset pile depth thresholds, cement usage safety standards, and drill rod speed specifications, a pile quality risk matrix model is constructed. Input the actual pile depth of the drill rod, the effective cement consumption, and the real-time drilling speed into the risk matrix model, and output the risk level index. When the risk level index exceeds a preset threshold, a control signal is generated that includes a drilling speed correction command, a grouting volume compensation command, or an equipment lock command.
2. The online monitoring method for mixing piles as described in claim 1, characterized in that, The acquisition of drill pipe inclination angle data and drill pipe displacement data includes: The X-axis tilt angle and Y-axis tilt angle of the drill rod are obtained by a dual-axis MEMS tilt sensor fixed to the top of the drill rod, the coordinates of the bottom of the drill rod in the drill rod coordinate system are obtained by a displacement sensor, and the position vector of the drill rod in the geodetic coordinate system is obtained by a positioning sensor fixed to the top of the drill rod. Determine the drill pipe inclination angle data based on the drill pipe X-axis inclination angle and Y-axis inclination angle; Based on the position vector of the drill rod in the geodetic coordinate system, the spatial attitude angle of the drill rod, and the position vector of the drill rod in the geodetic coordinate system, the displacement data of the drill rod is determined.
3. The online monitoring method for mixing piles as described in claim 2, characterized in that, The process of performing dual-source verification on the slurry flow rate data and the cement consumption mass data to generate the effective cement usage includes: The theoretical data for cement quality are determined based on the slurry flow rate data. Determine whether the deviation between the theoretical cement quality data and the cement consumption quality data exceeds a preset deviation value; When the deviation between the theoretical cement quality data and the cement consumption data exceeds a preset deviation value, the pressure sensor is activated and its data is acquired. Based on the pressure sensor data, the effective cement dosage is generated.
4. The online monitoring method for mixing piles as described in claim 1, characterized in that, Also includes: A heat map of pile defects is generated based on the risk level index, and the chromaticity coordinates of the heat map are positively correlated with the cement usage loss rate. The pile driver is driven to perform positioning and re-driving based on the coordinates of high-risk areas in the heat map.
5. The online monitoring method for mixing piles as described in claim 1, characterized in that, Also includes: The control signal is synchronously pushed to multiple terminals through an IoT platform. Specifically: Send an encrypted instruction packet containing risk coordinates and control parameters to the computer-based web system; Push tiered alarm messages to mobile mini-programs; When a device lock command is triggered, a work order is automatically generated and assigned to the responsible person's account.
6. The online monitoring method for mixing piles as described in claim 5, characterized in that, The IoT platform dynamically configures operation permissions based on user roles. Construction team accounts can only receive alarms from their own equipment and are prohibited from exporting data. Supervision engineer accounts can activate the risk heat map for the entire project section and issue reprint instructions that require digital certificate signatures. Owner administrator accounts enable the blockchain evidence storage interface and trigger triple audit logs containing timestamps, operator fingerprints, and equipment fingerprints. Work order closure requires verification of the electronic certificate of compliance for cement compensation.
7. An online monitoring device for mixing piles, characterized in that, include: The acquisition module is used to acquire drill pipe inclination angle data, slurry flow rate data, cement consumption mass data, and drill pipe displacement data; The conversion module is used to perform coordinate conversion between the drill rod inclination data and the drill rod displacement data, and to calculate the actual pile depth of the drill rod; The verification module is used to perform dual-source verification on the slurry flow rate data and the cement consumption mass data to generate the effective cement usage. The module is used to construct a pile quality risk matrix model based on preset pile depth thresholds, cement usage safety standards, and drill rod speed specifications. The output module is used to input the actual pile depth of the drill rod, the effective cement consumption, and the real-time drilling speed into the risk matrix model, and output the risk level index. The generation module is used to generate a control signal containing drilling speed correction instructions, grouting volume compensation instructions, or equipment locking instructions when the risk level index exceeds a preset threshold.
8. An electronic device, wherein, The electronic device includes: A processor; and a memory storing computer-executable instructions, which, when executed, cause the processor to perform the method according to any one of claims 1-6.
9. A computer-readable storage medium, wherein, The computer-readable storage medium stores one or more programs that, when executed by a processor, implement the method of any one of claims 1-6.
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Self-adaptive control method of cement mixing pile and pile forming quality real-time prediction method
CN121348774A
