Multi-parameter intelligent measurement and control system and method for grouting process

Abstract

This application discloses a multi-parameter intelligent measurement and control system for grouting processes, belonging to the field of grouting control technology. The system includes a cloud platform and at least one measurement and control terminal. The terminal integrates a sensing module, an edge control module, an industrial communication and power supply interface module, and a local human-machine interaction module. The edge control module preprocesses the grout parameters to obtain processed parameters, performs anomaly detection based on these parameters, and obtains anomaly detection results. When the anomaly detection result is abnormal, it automatically switches to a safe mode and reports to the cloud. When the anomaly detection result is normal, it outputs a control signal through a PID control algorithm, controlling the operation of the industrial communication and power supply interface module based on the control signal. The industrial communication and power supply interface module receives the control signal and adjusts network and voltage parameters based on it. This system achieves more accurate perception of single-point parameters during grouting construction, improving reliability and deployment flexibility.

Description

Technical Field

[0001] This application belongs to the field of grouting control technology, and in particular relates to a multi-parameter intelligent measurement and control system and method for the grouting process. Background Technology

[0002] With the development of technologies such as the Internet of Things, edge computing, and intelligent sensing, intelligent measurement and control equipment is gradually being deeply applied in the field of grouting construction in water conservancy and hydropower. The core of a grouting construction measurement and control system is the real-time, accurate sensing and rapid closed-loop control of key parameters such as grout density, pressure, flow rate, and temperature. This system must simultaneously possess capabilities such as multi-parameter synchronous acquisition, rapid on-site adjustment, adaptation to harsh environments, and flexible system expansion to ensure the quality and efficiency of grouting construction. However, most existing grouting construction measurement and control methods adopt an architecture that separates sensing and control. Sensors and actuators are independently arranged and remotely connected to the control cabinet, resulting in complex wiring and high signal delays, making it difficult to achieve rapid local closed-loop control. When adding new measurement and control points or adapting to different grouting processes, rewiring and system configuration are often required, leading to high costs for modification and expansion, and insufficient flexibility and adaptability in on-site deployment.

[0003] Furthermore, existing measurement and control methods have significant shortcomings in data fusion and environmental adaptability. Multi-parameter data is collected from different devices in a scattered manner, resulting in asynchronous time and inconsistent locations. This makes it difficult to accurately reflect the actual working conditions at a single point during grouting construction, hindering detailed analysis of construction conditions and process optimization. Simultaneously, traditional industrial sensors and control units lack specialized protective designs for grouting sites, exhibiting insufficient tolerance to harsh environments such as cement dust, humidity, and vibration, leading to high equipment failure rates and frequent maintenance. The system integration level is low, with a lack of standardized communication and interface protocols between devices, affecting the efficiency of data interaction and the overall reliability of the system. More importantly, existing measurement and control systems lack localized intelligent control and emergency response capabilities, relying on centralized control from remote control cabinets. This results in delayed responses to sudden parameter anomalies, easily causing grouting parameters to exceed limits, affecting grouting construction quality, and even triggering construction safety issues.

[0004] Existing grouting construction monitoring and control methods generally suffer from problems such as separation of sensing and control, low data fusion, and poor adaptability to the field environment. At the same time, the system is inconvenient to deploy and expand, making it difficult to achieve real-time and accurate sensing of grouting parameters and rapid closed-loop control, thus failing to meet the high-quality development needs of intelligent grouting construction in water conservancy and hydropower projects. Summary of the Invention

[0005] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a multi-parameter intelligent measurement and control system and method for the grouting process. Through integrated design, edge intelligent control, and distributed networking architecture, it realizes a local closed loop of "sensing-control-execution" in grouting construction. Combined with a high-protection-level shell and standardized interface design, the equipment has stronger environmental adaptability and more flexible system expansion. Furthermore, through multi-parameter synchronous acquisition and cloud-based collaborative control, the measurement and control accuracy of the grouting construction process is higher, the response speed is faster, and the overall operation is more reliable.

[0006] In a first aspect, this application provides a multi-parameter intelligent measurement and control system for the grouting process. The system includes a cloud and at least one measurement and control terminal. The measurement and control terminal includes an integrated sensing module, an edge control module, an industrial communication and power supply interface module, and a local human-machine interaction module. The integrated sensing module is used to collect slurry parameters and send the slurry parameters to the edge control module; The edge control module is used to preprocess the slurry parameters to obtain the processed slurry parameters, perform anomaly detection based on the processed slurry parameters, obtain the anomaly detection result, automatically switch to safe mode when the anomaly detection result is abnormal and report to the cloud when the anomaly detection result is normal, output control signal through PID control algorithm, and control the operation of industrial communication and power supply interface module based on the control signal. The industrial communication and power supply interface module is used to receive control signals and adjust network parameters and voltage parameters based on the control signals. The local human-computer interaction module is used to display current network parameters and voltage parameters, and to set abnormal thresholds.

[0007] According to one embodiment of this application, the integrated sensing module includes a slurry density sensor, a pressure sensor, an electromagnetic flow meter, and a temperature sensor.

[0008] According to one embodiment of this application, the preprocessing of the slurry parameters to obtain the processed slurry parameters includes: Outlier values ​​were removed from the slurry parameters to obtain the slurry parameters after removal. The parameters of the rejected slurry are filtered by moving average to eliminate high-frequency measurement fluctuations caused by vibration and electromagnetic interference at the grouting site, and the filtered slurry parameters are obtained. Multi-parameter time synchronization calibration is performed on the filtered slurry parameters. Based on the sampling timestamps of each sensor, the density, pressure, flow rate, and temperature parameters are corrected for time axis alignment. This achieves time synchronization matching of multiple parameters in the same flow channel section, resulting in the processed slurry parameters.

[0009] According to one embodiment of this application, the abnormality detection based on the processed slurry parameters to obtain the abnormality detection result includes: The deviation between the processed slurry parameters and the abnormal threshold is calculated. If the deviation exceeds the preset threshold for a preset number of consecutive presets, the abnormality detection result is abnormal; otherwise, the abnormality detection result is normal. The formula for calculating the deviation is as follows: in, This is the deviation value. The parameters of the treated slurry, This is the abnormal threshold.

[0010] According to one embodiment of this application, the calculation formula of the PID control algorithm is as follows: in, For control signals, These are the proportional, integral, and differential coefficients, respectively. Let $k$ be the deviation value at time $k$. The deviation value at time k-1. This represents the deviation value at time k-2.

[0011] According to one embodiment of this application, the deployment locations of the monitoring and control terminals include the pulping station outlet, key nodes of the slurry delivery pipeline, and the grouting pump inlet, and the monitoring and control terminals are connected through an industrial network.

[0012] According to one embodiment of this application, the step of automatically switching to safe mode and reporting to the cloud when the anomaly detection result is abnormal includes: When the anomaly detection result is abnormal, the control signal is set to the pre-stored safety value, the valve opening is locked to a safe position, an anomaly alarm message is generated, and the anomaly alarm message is sent to the local human-machine interaction module through the industrial communication and power supply interface module, and then reported to the cloud.

[0013] According to one embodiment of this application, the measurement and control terminal further includes an integrated industrial housing. The integrated sensing module, edge control module, industrial communication and power supply interface module, and local human-machine interaction module are all encapsulated within the integrated industrial housing. The protection level of the integrated industrial housing is not lower than IP65. The exterior of the integrated industrial housing is sealed with metal or a high-strength engineering plastic shell, and the interior is treated with potting compound.

[0014] According to one embodiment of this application, the industrial communication and power supply interface module is further used to locally encrypt and cache the control signal and the processed slurry parameters, and send an execution receipt to the edge control module at a preset time interval. If the edge control module does not receive the execution receipt within the preset time, it will resend the control signal to the industrial communication and power supply interface module.

[0015] Secondly, this application provides a multi-parameter intelligent measurement and control method for the grouting process, the method comprising: The slurry parameters collected by the integrated sensing module are acquired and sent to the edge control module. The slurry parameters are preprocessed based on the edge control module to obtain the processed slurry parameters; Anomaly detection was performed based on the processed slurry parameters to obtain anomaly detection results; When the anomaly detection result is abnormal, it automatically switches to safe mode and reports to the cloud. When the anomaly detection result is normal, it outputs a control signal through the PID control algorithm and sends the control signal to the industrial communication and power supply interface module. The control signal controls the industrial communication and power supply interface module to adjust network and voltage parameters, and then sends these parameters to the local human-machine interface module for display.

[0016] Thirdly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the multi-parameter intelligent measurement and control method for the grouting process as described in the second aspect above.

[0017] Fourthly, this application provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the multi-parameter intelligent measurement and control method for the grouting process as described in the second aspect above.

[0018] Fifthly, this application provides a chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the multi-parameter intelligent measurement and control method for the grouting process as described in the second aspect.

[0019] Sixthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the multi-parameter intelligent measurement and control method for the grouting process as described in the second aspect above.

[0020] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application.

[0021] The present invention provides a multi-parameter intelligent monitoring and control system for the grouting process, which has the following advantages over the prior art: (1) This invention realizes the local closed loop of "sensing-control-execution" in grouting construction through integrated design, edge intelligent control and distributed networking architecture. Combined with high protection level shell and standardized interface design, the equipment has stronger environmental adaptability and more flexible system expansion. Through multi-parameter synchronous acquisition and cloud collaborative control, the measurement and control accuracy of the grouting construction process is higher, the response speed is faster and the overall operation is more reliable. It realizes more accurate perception and autonomous closed-loop control of single-point parameters in grouting construction, and improves the system response speed, reliability and deployment flexibility.

[0022] (2) This invention introduces an integrated sealed industrial shell design, making the terminal more resistant to harsh environments such as dust, humidity, and vibration at the grouting site, resulting in a lower equipment failure rate and less maintenance frequency. The integrated sensing module enables simultaneous acquisition of multiple parameters across the same flow channel cross-section, providing more accurate reflection of single-point construction conditions and more reliable data support for grouting process analysis. The built-in edge control module, equipped with a dedicated control logic algorithm, achieves faster local closed-loop control, completely solving the problem of remote signal transmission delay, making the control of key grouting parameters more precise, with less fluctuation, and resulting in better uniformity of grouting construction quality.

[0023] (3) This invention, through the standardized industrial communication and power supply interface design, makes system networking more convenient, the addition and reduction of monitoring and control points more flexible, and the system transformation cost lower and deployment efficiency higher in grouting construction scenarios. Through the distributed terminal network and the collaborative control mechanism of "global optimization and local autonomy", the autonomous control capability of each monitoring and control node is stronger, the overall control efficiency of the system is higher, the impact of single-point parameter anomalies on the overall construction is smaller, and the continuity of grouting construction is better. Through the combination of the terminal's built-in self-diagnosis function and cloud-based health status monitoring, the predictive maintenance of equipment is more timely, the remote operation and maintenance is more convenient, the system's operation and maintenance efficiency is higher, and the fault-free working time is longer. It is suitable for monitoring and control scenarios of key nodes in various grouting construction of water conservancy and hydropower projects, and provides more suitable and stable hardware and system support for intelligent grouting construction. Attached Figure Description

[0024] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a schematic diagram of the structure of the multi-parameter intelligent monitoring and control system for the grouting process provided in the embodiments of this application; Figure 2 This is a typical deployment and network architecture diagram of the measurement and control terminal provided in the embodiments of this application in the grouting system; Figure 3 This is a flowchart illustrating the local closed-loop control and system collaboration process implemented by the measurement and control terminal provided in this application embodiment; Figure 4 This is a flowchart of a multi-parameter intelligent measurement and control method for the grouting process provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0025] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0026] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0027] The following description, in conjunction with the accompanying drawings, details the multi-parameter intelligent measurement and control system for grouting processes, the task priority scheduling and resource perception management device for unmanned vessels, the electronic equipment, and the readable storage medium provided in this application, through specific embodiments and application scenarios.

[0028] Among them, the multi-parameter intelligent measurement and control system for the grouting process can be applied to the terminal, and can be executed by the hardware or software in the terminal.

[0029] The terminal includes, but is not limited to, portable communication devices such as mobile phones or tablets with touch-sensitive surfaces (e.g., touchscreen displays and / or touchpads). It should also be understood that, in some embodiments, the terminal may not be a portable communication device, but rather a desktop computer with touch-sensitive surfaces (e.g., touchscreen displays and / or touchpads).

[0030] The following embodiments describe a terminal including a display and a touch-sensitive surface. However, it should be understood that the terminal may include one or more other physical user interface devices such as a physical keyboard, mouse, and joystick.

[0031] The multi-parameter intelligent measurement and control system for the grouting process provided in this application embodiment can be executed by an electronic device or a functional module or entity in an electronic device that can implement the multi-parameter intelligent measurement and control system for the grouting process. The electronic devices mentioned in this application embodiment include, but are not limited to, mobile phones, tablets, computers, cameras, and wearable devices. The following uses an electronic device as the execution subject to describe the multi-parameter intelligent measurement and control system for the grouting process provided in this application embodiment.

[0032] Figure 1 This is a schematic diagram of the structure of the multi-parameter intelligent monitoring and control system for the grouting process provided in the embodiments of this application, as shown below. Figure 1 As shown, it includes a cloud platform and at least one measurement and control terminal. The measurement and control terminal includes an integrated sensing module 1, an edge control module 2, an industrial communication and power supply interface module 3, and a local human-machine interaction module 4.

[0033] In some embodiments, the measurement and control terminal further includes an integrated industrial housing. The integrated sensing module 1, edge control module 2, industrial communication and power supply interface module 3, and local human-machine interaction module 4 are all encapsulated within the integrated industrial housing. The integrated industrial housing has a protection level of not less than IP65. The exterior of the integrated industrial housing is sealed with metal or a high-strength engineering plastic shell, and the interior is treated with potting compound to adapt to the dust, moisture, and vibration environment at the grouting site.

[0034] For example, edge control module 2 has a built-in microprocessor that runs data preprocessing, PID control algorithms, and safety mode switching logic; industrial communication and power supply interface module 3 supports industrial Ethernet and 5G wireless transmission. The system also establishes a master control terminal or cloud platform, which sends setpoints to each monitoring and control terminal based on the global grouting strategy (such as pressure gradient and flow distribution); each monitoring and control terminal performs rapid closed-loop control (such as PID adjustment) based on local sensor data, realizing a collaborative control mode of "global optimization and local autonomy". All monitoring and control terminal data is aggregated to the cloud through a gateway for centralized storage, analysis, and visualization, and supports remote parameter configuration, program updates, and health status monitoring.

[0035] The integrated sensing module 1 is used to collect slurry parameters and send the slurry parameters to the edge control module 2; In some embodiments, the integrated sensing module 1 includes a slurry density sensor, a pressure sensor, an electromagnetic flow meter, and a temperature sensor.

[0036] For example, slurry density sensors, pressure sensors, electromagnetic flow meters, and temperature sensors are integrated inside the measurement and control terminal or connected over a short distance via armored probes to ensure synchronous measurement of multiple parameters on the same flow channel cross section.

[0037] The edge control module 2 is used to preprocess the slurry parameters to obtain the processed slurry parameters, perform anomaly detection based on the processed slurry parameters, and obtain the anomaly detection result. When the anomaly detection result is abnormal, it automatically switches to the safe mode and reports to the cloud. When the anomaly detection result is normal, it outputs a control signal through the PID control algorithm, and controls the operation of the industrial communication and power supply interface module 3 based on the control signal. It is easy to understand that the edge control module 2 has a built-in embedded microprocessor or micro PLC, which is pre-installed with grouting process control logic algorithm. It can process sensor data in real time and directly output control signals to drive the integrated or external regulating actuators (such as electric regulating valves and solid-state relays).

[0038] The regulating actuator is an integrated electric regulating valve. Its motor drive unit is directly coupled to the valve body and is quickly connected to the terminal housing via a flange, together forming a complete integrated "sensing-control-execution" module.

[0039] In some embodiments, the preprocessing of the slurry parameters to obtain processed slurry parameters includes: Outlier values ​​were removed from the slurry parameters to obtain the slurry parameters after removal. The parameters of the rejected slurry are filtered by moving average to eliminate high-frequency measurement fluctuations caused by vibration and electromagnetic interference at the grouting site, and the filtered slurry parameters are obtained. In some embodiments, the acquired raw sensor signal is subjected to moving average filtering to eliminate high-frequency noise. The filtering formula is as follows: in, Let N be the k-th sampled value, and N be the length of the sliding window (usually 5 to 10). This is the filtered output value.

[0040] This algorithm can effectively suppress measurement fluctuations caused by vibration and electromagnetic interference at the grouting site.

[0041] Multi-parameter time synchronization calibration is performed on the filtered slurry parameters. Based on the sampling timestamps of each sensor, the density, pressure, flow rate, and temperature parameters are corrected for time axis alignment. This achieves time synchronization matching of multiple parameters in the same flow channel section, resulting in the processed slurry parameters.

[0042] In some embodiments, the anomaly detection based on the processed slurry parameters to obtain anomaly detection results includes: The deviation between the processed slurry parameters and the abnormal threshold is calculated. If the deviation exceeds the preset threshold for a preset number of consecutive presets, the abnormality detection result is abnormal; otherwise, the abnormality detection result is normal. The formula for calculating the deviation is as follows: in, This is the deviation value. The parameters of the treated slurry, This is the abnormal threshold.

[0043] It's easy to understand that the deviation between the processed slurry parameters and the abnormal threshold is calculated in real time. If the deviation exceeds the set range, an abnormality handling process is triggered. For example, when... If the percentage exceeds 5% for three consecutive times, it is considered abnormal.

[0044] In some embodiments, the calculation formula of the PID control algorithm is as follows: in, For control signals, These are the proportional, integral, and differential coefficients, respectively. Let $k$ be the deviation value at time $k$. The deviation value at time k-1. This represents the deviation value at time k-2.

[0045] It's easy to understand that, under normal operating conditions, an incremental PID control law is used to calculate the control output. Adjustable based on field tests (typical value: This algorithm can achieve millisecond-level response and control parameter fluctuations within ±3% of the set value.

[0046] In some embodiments, the deployment locations of the monitoring and control terminals include the outlet of the slurry preparation station, key nodes of the slurry delivery pipeline, and the inlet of the grouting pump, and the monitoring and control terminals are connected through an industrial network.

[0047] In some embodiments, automatically switching to safe mode and reporting to the cloud when the anomaly detection result is abnormal includes: When the abnormality detection result is abnormal, the control signal is set to the pre-stored safety value, the valve opening is locked to a safe position, an abnormality alarm message is generated, and the abnormality alarm message is sent to the local human-machine interaction module 4 through the industrial communication and power supply interface module 3 and reported to the cloud.

[0048] For example, when an anomaly is detected (such as sensor failure or severely exceeded parameter limits), the system automatically switches to a preset safety control strategy, such as locking the valve opening to a safe position and simultaneously reporting to the cloud for further instructions. In safety mode, the control input is output at a conservative value. ,in A pre-stored safety value (such as valve opening of 30%) is used to ensure that the grouting process is uninterrupted and does not exceed the pressure limit.

[0049] The industrial communication and power supply interface module 3 is used to receive control signals and adjust network parameters and voltage parameters based on the control signals. In some embodiments, the industrial communication and power supply interface module 3 is further configured to locally encrypt and cache the control signals and the processed slurry parameters, and send execution receipts to the edge control module 2 at preset time intervals. If the edge control module 2 does not receive the execution receipts within the preset time, it will resend the control signals to the industrial communication and power supply interface module 3.

[0050] The Industrial Communication and Power Supply Interface Module 3 comes standard with an industrial Ethernet and wireless communication module (5G industrial module), supports daisy-chain networking, and provides a 24VDC standard industrial power supply interface and overvoltage and reverse connection protection.

[0051] The local human-computer interaction module 4 is used to display the current network parameters and voltage parameters, and to set abnormal thresholds.

[0052] Optionally, the housing of the local human-machine interaction module 4 is equipped with a waterproof touch screen or buttons and indicator lights for local parameter display, threshold setting and status diagnosis.

[0053] Figure 2 This is a typical deployment and network architecture diagram of the measurement and control terminal provided in the embodiments of this application in a grouting system, such as... Figure 2 As shown, in the grouting system, multiple intelligent monitoring and control terminals are deployed at the outlet of the grouting station, key nodes of the grout delivery pipeline, and the inlet of the grouting pump, respectively, and are connected to the gateway via industrial Ethernet or wireless network. The physical pipeline (solid line) represents the grout flow direction, and the data link (dashed line) represents the information transmission between the terminal and the gateway, and between the gateway and the cloud. Each terminal independently completes local parameter sensing and closed-loop control, while the cloud platform sends setpoints to the terminals through the gateway, realizing a collaborative control mode of "global optimization and local autonomy".

[0054] Figure 3 This is a flowchart illustrating the local closed-loop control and system collaboration process implemented by the measurement and control terminal provided in this application embodiment, as shown below. Figure 3As shown, after the terminal starts up, it first collects slurry parameters (pressure, flow rate, density, and temperature) in real time. After data preprocessing (moving average filtering), the edge control module determines whether the parameters are abnormal. If abnormal, the terminal immediately activates a local safety control strategy (such as locking the valve opening) and reports the abnormal event to the cloud. If normal, it executes a PID control algorithm based on the optimized setpoints issued by the cloud, outputting control signals to drive the actuators, forming a local closed-loop control. After receiving the abnormal event, the cloud platform can analyze it and issue new optimized setpoints to update the terminal's control target. This process reflects the collaborative working mechanism of the terminal's "edge autonomy" and the cloud's "global optimization".

[0055] In this embodiment, a local closed loop of "sensing-control-execution" for grouting construction is achieved through integrated design, edge intelligent control, and distributed networking architecture. Combined with a high-protection-level shell and standardized interface design, the equipment has stronger environmental adaptability and more flexible system expansion. Furthermore, through multi-parameter synchronous acquisition and cloud-based collaborative control, the measurement and control accuracy of the grouting construction process is higher, the response speed is faster, and the overall operation is more reliable.

[0056] Take the grouting construction of a dam foundation of a certain water conservancy project as an example.

[0057] 1. Hardware Deployment The intelligent monitoring and control terminal described in this invention is installed at the main outlet of the centralized slurry preparation station, the inlet of the branch pipe of grouting area No. 2, and the inlet of grouting pump No. 3. The terminal is directly installed on the pipeline via flange, connected to a 24V power supply and an industrial Ethernet cable, and completes a power-on self-test.

[0058] System Configuration The cloud platform sends a density setting of 1.65 g / cm³ to the pulp preparation station outlet terminal, a flow rate setting of 70 L / min to the No. 2 area terminal, and a pressure setting of 1.2 MPa to the No. 3 grouting pump terminal. Each terminal automatically enters closed-loop control mode, and the edge control module operates according to a PID algorithm. The sampling period is 100ms.

[0059] Operation and Results During construction, the pressure at the terminal of grouting pump No. 3 suddenly dropped to 1.0 MPa due to grout suction from the formation, with a deviation rate of [missing information]. Exceeding the 5% threshold triggered anomaly handling. The edge control module immediately executed safety mode, locking the valve opening at 40% (a pre-stored safety value) and simultaneously reporting the event and adjustment logs to the cloud. The entire process, from detecting the pressure drop to executing the safety strategy, took approximately 200ms. Subsequently, the cloud analyzed the anomaly as grout absorption from a formation fracture, recalculated and optimized the setpoint to 1.15MPa, and sent it to the terminal. The terminal resumed PID control, restoring the pressure to 1.18MPa within 2 seconds. Throughout the entire process, other terminals operated without any interference. Thanks to the terminal's rapid response, the grouting section was not interrupted, the grout filling was complete, and the permeability of the subsequent water pressure test was fully qualified.

[0060] System operation and maintenance The cloud platform detected a persistent slight drift in the density sensor readings of area 2 (a deviation exceeding 0.5% for a consecutive week). It automatically issued a calibration command, activating the terminal's internal self-diagnostic algorithm to correct the sensor's zero point based on historical data models. After self-calibration, the sensor returned to normal. No on-site technical personnel were required throughout the entire process.

[0061] The implementation of this embodiment verifies the outstanding effect of the measurement and control terminal in achieving precise, rapid, and reliable autonomous control of the grouting process, providing a key hardware foundation for building the next generation of intelligent grouting systems.

[0062] This application embodiment also provides a multi-parameter intelligent measurement and control method for the grouting process, which includes steps 410, 420, 430, 440 and 450.

[0063] Step 410: Obtain the slurry parameters collected by the integrated sensing module and send the slurry parameters to the edge control module; Step 420: Preprocess the slurry parameters based on the edge control module to obtain the processed slurry parameters; Step 430: Perform anomaly detection based on the processed slurry parameters to obtain anomaly detection results; Step 440: When the anomaly detection result is abnormal, automatically switch to safe mode and report to the cloud. When the anomaly detection result is normal, output control signal through PID control algorithm and send control signal to industrial communication and power supply interface module. Step 450: Based on the control signal, control the industrial communication and power supply interface module to adjust the network parameters and voltage parameters, and send the network parameters and voltage parameters to the local human-machine interaction module for display.

[0064] The multi-parameter intelligent measurement and control method for the grouting process provided in this application, through the introduction of an integrated sealed industrial shell design, enhances the terminal's tolerance to harsh environments such as dust, humidity, and vibration at the grouting site, resulting in a lower equipment failure rate and less frequent maintenance. The integrated sensing module enables simultaneous acquisition of multiple parameters across the same flow channel cross-section, providing more accurate reflection of single-point construction conditions and more reliable data support for grouting process analysis. The built-in edge control module, coupled with a dedicated control logic algorithm, achieves faster local closed-loop control, completely resolving the problem of remote signal transmission delay, resulting in more precise control and less fluctuation of key grouting parameters, and superior uniformity of grouting construction quality.

[0065] In some embodiments, such as Figure 5 As shown, this application embodiment also provides an electronic device 500, including a processor 501, a memory 502, and a computer program stored in the memory 502 and executable on the processor 501. When the program is executed by the processor 501, it implements the various processes of the above-described embodiment of the multi-parameter intelligent measurement and control method for grouting process and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0066] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0067] This application also provides a non-transitory computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the above-described multi-parameter intelligent measurement and control method embodiment for grouting process and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0068] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0069] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described multi-parameter intelligent measurement and control method for the grouting process.

[0070] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0071] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above-described embodiment of the multi-parameter intelligent measurement and control method for grouting process, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0072] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a device-level chip, device chip, chip device, or on-chip device chip, etc.

[0073] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0074] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the multi-parameter intelligent measurement and control method for the grouting process of the various embodiments of this application.

[0075] In the description of this application, "first feature" and "second feature" may include one or more of the features.

[0076] In the description of this application, "multiple" means two or more.

[0077] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0078] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0079] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the claims and their equivalents.

Claims

1. A multi-parameter intelligent monitoring and control system for grouting processes, characterized in that, It includes a cloud and at least one measurement and control terminal, wherein the measurement and control terminal includes an integrated sensing module (1), an edge control module (2), an industrial communication and power supply interface module (3), and a local human-machine interaction module (4). The integrated sensing module (1) is used to collect slurry parameters and send the slurry parameters to the edge control module (2). The edge control module (2) is used to preprocess the slurry parameters to obtain the processed slurry parameters, perform anomaly detection based on the processed slurry parameters, obtain the anomaly detection result, and automatically switch to the safe mode when the anomaly detection result is abnormal and report to the cloud when the anomaly detection result is normal. It outputs the control signal through the PID control algorithm and controls the operation of the industrial communication and power supply interface module (3) based on the control signal. The industrial communication and power supply interface module (3) is used to receive control signals and adjust network parameters and voltage parameters based on the control signals; The local human-computer interaction module (4) is used to display the current network parameters and voltage parameters, and to set abnormal thresholds.

2. The multi-parameter intelligent monitoring and control system for grouting process according to claim 1, characterized in that, The integrated sensing module (1) includes a slurry density sensor, a pressure sensor, an electromagnetic flowmeter, and a temperature sensor.

3. The multi-parameter intelligent monitoring and control system for grouting process according to claim 1, characterized in that, The preprocessing of slurry parameters to obtain processed slurry parameters includes: Outlier values ​​were removed from the slurry parameters to obtain the slurry parameters after removal. The parameters of the rejected slurry are filtered by moving average to eliminate high-frequency measurement fluctuations caused by vibration and electromagnetic interference at the grouting site, and the filtered slurry parameters are obtained. Multi-parameter time synchronization calibration is performed on the filtered slurry parameters. Based on the sampling timestamps of each sensor, the density, pressure, flow rate, and temperature parameters are corrected for time axis alignment. This achieves time synchronization matching of multiple parameters in the same flow channel section, resulting in the processed slurry parameters.

4. The multi-parameter intelligent monitoring and control system for grouting process according to claim 1, characterized in that, The anomaly detection based on the processed slurry parameters yields the following results: The deviation between the processed slurry parameters and the abnormal threshold is calculated. If the deviation exceeds the preset threshold for a preset number of consecutive presets, the abnormality detection result is abnormal; otherwise, the abnormality detection result is normal. The formula for calculating the deviation is as follows: in, This is the deviation value. The parameters of the treated slurry, This is the abnormal threshold.

5. The multi-parameter intelligent monitoring and control system for grouting process according to claim 1, characterized in that, The calculation formula for the PID control algorithm is as follows: in, For control signals, These are the proportional, integral, and differential coefficients, respectively. Let $k$ be the deviation value at time $k$. The deviation value at time k-1. This represents the deviation value at time k-2.

6. The multi-parameter intelligent monitoring and control system for grouting process according to claim 1, characterized in that, The deployment locations of the monitoring and control terminals include the outlet of the slurry preparation station, key nodes of the slurry delivery pipeline, and the inlet of the grouting pump. The monitoring and control terminals are connected to each other through an industrial network.

7. The multi-parameter intelligent monitoring and control system for grouting process according to claim 1, characterized in that, When the anomaly detection result is abnormal, the system automatically switches to safe mode and reports to the cloud, including: When the abnormal detection result is abnormal, the control signal is set to the pre-stored safety value, the valve opening is locked to the safe position, an abnormal alarm message is generated, and the abnormal alarm message is sent to the local human-machine interaction module (4) through the industrial communication and power supply interface module (3) and reported to the cloud.

8. The multi-parameter intelligent monitoring and control system for grouting process according to claim 1, characterized in that, The measurement and control terminal also includes an integrated industrial housing. The integrated sensing module (1), edge control module (2), industrial communication and power supply interface module (3) and local human-machine interaction module (4) are all encapsulated in the integrated industrial housing. The protection level of the integrated industrial housing is not lower than IP65. The exterior of the integrated industrial housing is sealed with metal or high-strength engineering plastic shell, and the interior is treated with potting compound.

9. The multi-parameter intelligent monitoring and control system for grouting process according to claim 1, characterized in that, The industrial communication and power supply interface module (3) is also used to locally encrypt and cache the control signals and the processed slurry parameters, and send the execution receipt to the edge control module (2) at a preset time interval. If the edge control module (2) does not receive the execution receipt within the preset time, it will resend the control signal to the industrial communication and power supply interface module (3).

10. A multi-parameter intelligent measurement and control method for grouting process, implemented using the multi-parameter intelligent measurement and control system for grouting process as described in any one of claims 1 to 9, characterized in that, The method includes: The slurry parameters collected by the integrated sensing module (1) are obtained and sent to the edge control module (2). The slurry parameters are preprocessed based on the edge control module (2) to obtain the processed slurry parameters; Anomaly detection was performed based on the processed slurry parameters to obtain anomaly detection results; When the abnormality detection result is abnormal, it automatically switches to safe mode and reports to the cloud. When the abnormality detection result is normal, it outputs control signal through PID control algorithm and sends control signal to industrial communication and power supply interface module (3). The industrial communication and power supply interface module (3) controls the network parameters and voltage parameters based on the control signals, and sends the network parameters and voltage parameters to the local human-machine interaction module (4) for display.

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